[Assessment of innovations in clinical research: strengths and potentials for improvement of research in Germany].

PubMed

Vollmar, Horst Christian; Georgieff, Peter; Bührlen, Bernhard

2010-01-01

Clinical research is a central link in the development chain of new treatment methods; scientifically, it belongs between basic science and health services research. It spans from the first application of a new substance or device in humans to the main proofs of its efficacy and safety. Economically speaking, it absorbs almost half of the total expenditures for the research and development of a new drug and represents a significant factor in the labour market for researchers and study personnel. Also, through participation in clinical trials, patients gain early access to new treatment methods, while on the other hand they are placed at higher risk for undesired side effects. Politics have taken significant steps to strengthen clinical research, but the pharmaceutical industry continues to complain about competitive disadvantages. Despite internationally recognised and, to a large extent, legally codified guidelines there are still significant national differences in implementation. In addition, traditional practices in clinical research are challenged by novel, mainly biotechnological therapeutic methods for which our current knowledge base is rather limited and which therefore entail a higher risk for patients or trial participants. The following paper summarises a report for the Office of Technology Assessment at the German Federal Parliament (TAB). Based on current regulations, scientific literature and expert interviews, current challenges and solution strategies for clinical research will be analysed in terms of an international comparison.

The physical therapy clinical research network (PTClinResNet): methods, efficacy, and benefits of a rehabilitation research network.

PubMed

Winstein, Carolee; Pate, Patricia; Ge, Tingting; Ervin, Carolyn; Baurley, James; Sullivan, Katherine J; Underwood, Samantha J; Fowler, Eileen G; Mulroy, Sara; Brown, David A; Kulig, Kornelia; Gordon, James; Azen, Stanley P

2008-11-01

This article describes the vision, methods, and implementation strategies used in building the infrastructure for PTClinResNet, a clinical research network designed to assess outcomes for health-related mobility associated with evidence-based physical therapy interventions across and within four different disability groups. Specific aims were to (1) create the infrastructure necessary to develop and sustain clinical trials research in rehabilitation, (2) generate evidence to evaluate the efficacy of resistance exercise-based physical interventions designed to improve muscle performance and movement skills, and (3) provide education and training opportunities for present and future clinician-researchers and for the rehabilitation community at-large in its support of evidence-based practice. We present the network's infrastructure, development, and several examples that highlight the benefits of a clinical research network. We suggest that the network structure is ideal for building research capacity and fostering multisite, multiinvestigator clinical research projects designed to generate evidence for the efficacy of rehabilitation interventions.

Increasing complexity of clinical research in gastroenterology: implications for the training of clinician-scientists.

PubMed

Scott, Frank I; McConnell, Ryan A; Lewis, Matthew E; Lewis, James D

2012-04-01

Significant advances have been made in clinical and epidemiologic research methods over the past 30 years. We sought to demonstrate the impact of these advances on published gastroenterology research from 1980 to 2010. Twenty original clinical articles were randomly selected from each of three journals from 1980, 1990, 2000, and 2010. Each article was assessed for topic, whether the outcome was clinical or physiologic, study design, sample size, number of authors and centers collaborating, reporting of various statistical methods, and external funding. From 1980 to 2010, there was a significant increase in analytic studies, clinical outcomes, number of authors per article, multicenter collaboration, sample size, and external funding. There was increased reporting of P values, confidence intervals, and power calculations, and increased use of large multicenter databases, multivariate analyses, and bioinformatics. The complexity of clinical gastroenterology and hepatology research has increased dramatically, highlighting the need for advanced training of clinical investigators.

Research methods from social science can contribute much to the health sciences.

PubMed

Wensing, Michel

2008-06-01

Research methods from social science, such as social network analysis, random coefficient modeling, and advanced measurement techniques, can contribute much to the health sciences. There is, however, a slow rate of transmission of social science methodology into the health sciences. This paper identifies some of the barriers for adoption and proposes ideas for the future. Commentary. Contributions of social science to the health sciences are not always recognized as such. It may help if the professional profile of social science in the health sciences would be higher and if its focus would be more on making useful predictions. Clinical epidemiologists may assume that their discipline includes all relevant methods and that social science is largely based on qualitative research. These perceptions need to be challenged in order to widen the scope of clinical epidemiology and include relevant methods from other sciences. New methods help to ask new research questions and to provide better to old questions. This paper has sketched challenges for both social science researchers and clinical epidemiologists.

Qualitative research within trials: developing a standard operating procedure for a clinical trials unit

PubMed Central

2013-01-01

Background Qualitative research methods are increasingly used within clinical trials to address broader research questions than can be addressed by quantitative methods alone. These methods enable health professionals, service users, and other stakeholders to contribute their views and experiences to evaluation of healthcare treatments, interventions, or policies, and influence the design of trials. Qualitative data often contribute information that is better able to reform policy or influence design. Methods Health services researchers, including trialists, clinicians, and qualitative researchers, worked collaboratively to develop a comprehensive portfolio of standard operating procedures (SOPs) for the West Wales Organisation for Rigorous Trials in Health (WWORTH), a clinical trials unit (CTU) at Swansea University, which has recently achieved registration with the UK Clinical Research Collaboration (UKCRC). Although the UKCRC requires a total of 25 SOPs from registered CTUs, WWORTH chose to add an additional qualitative-methods SOP (QM-SOP). Results The qualitative methods SOP (QM-SOP) defines good practice in designing and implementing qualitative components of trials, while allowing flexibility of approach and method. Its basic principles are that: qualitative researchers should be contributors from the start of trials with qualitative potential; the qualitative component should have clear aims; and the main study publication should report on the qualitative component. Conclusions We recommend that CTUs consider developing a QM-SOP to enhance the conduct of quantitative trials by adding qualitative data and analysis. We judge that this improves the value of quantitative trials, and contributes to the future development of multi-method trials. PMID:23433341

[Evidence-based Chinese medicine：theory and practice].

PubMed

Zhang, Jun-Hua; Li, You-Ping; Zhang, Bo-Li

2018-01-01

The introduction and popularization of evidence-based medicine has opened up a new research field of clinical efficacy evaluation of traditional Chinese medicine(TCM), produced new research ideas and methods, and promoted the progress of clinical research of TCM. After about 20 years assiduous study and earnest practice, the evidence based evaluation method and technique, which conforms to the characteristics of TCM theory and practice, has been developing continuously. Evidence-based Chinese medicine (EBCM) has gradually formed and become an important branch of evidence-based medicine. The basic concept of evidence-based Chinese medicine: EBCM is an applied discipline, following the theory and methodology of evidence-based medicine, to collect, evaluate, produce, transform the evidence of effectiveness, safety and economy of TCM, to reveal the feature and regular pattern of TCM taking effect, and to guide the development of clinical guidelines, clinical pathways and health decisions. The effects and achievements of EBCM development: secondary studies mainly based on systematic review/Meta-analysis were extensively carried out; clinical efficacy studies mainly relying on randomized controlled trials grew rapidly; clinical safety evaluations based on real world study have been conducted; methodological researches mainly focused on study quality control deepened gradually; internationalization researches mainly on report specifications have got some breakthroughs; standardization researches based on treatment specification were strengthened gradually; the research team and talents with the characteristics of inter-disciplinary have been steadily increased. A number of high-quality research findings have been published at international well-known journals; the clinical efficacy and safety evidence of TCM has been increased; the level of clinical rational use of TCM has been improved; a large number of Chinese patent medicines with big market have been cultured. The future missions of EBCM mainly consist of four categories (scientific research, methodology and standard, platform construction and personnel training) with nine tasks. ①Carry out systematic reviews to systematically collect clinical trial reports of TCM and establish database of clinical evidence of TCM; ②Carry out evidence transformation research to lay the foundation for the development of clinical diagnosis and treatment guidelines, clinical pathways of TCM, and for the screening of basic drug list and medical insurance list, and for the policy-making relevant to TCM; ③Conduct researches to evaluate the advantages and effective regular patterns of TCM and form the evidence chain of TCM efficacy; ④Carry out researches for the safety evaluation of TCM, and provide evidence supporting the rational and safe use of TCM in clinical practice; ⑤Conduct researches on methodology of EBCM and provide method for developing high quality evidence; ⑥Carry out researches to develop standards and norms of TCM, and to form methods, standards, specifications and technical systems; ⑦Establish data management platform for evidence-based evaluation of TCM, and promote data sharing; ⑧Build international academic exchange platform to promote international cooperation and mutual recognition of EBCM research; ⑨Carry out education and popularization activities of evidence-based evaluation methods, and train undergraduate students, graduate students, clinical healthcare providers and practitioners of TCM. The development of EBCM, as it was, not only promoted the transformation of clinical research and decision-making mode of TCM, contributed to the modernization and internationalization of TCM, but also enriched the connotation of Evidence-based Medicine. Copyright© by the Chinese Pharmaceutical Association.

Factors influencing recruitment to research: qualitative study of the experiences and perceptions of research teams

PubMed Central

2014-01-01

Background Recruiting the required number of participants is vital to the success of clinical research and yet many studies fail to achieve their expected recruitment rate. Increasing research participation is a key agenda within the NHS and elsewhere, but the optimal methods of improving recruitment to clinical research remain elusive. The aim of this study was to identify the factors that researchers perceive as influential in the recruitment of participants to clinically focused research. Methods Semi-structured interviews were conducted with 11 individuals from three clinical research teams based in London. Sampling was a combination of convenience and purposive. The interviews were audio recorded, transcribed verbatim and analysed using the framework method to identify key themes. Results Four themes were identified as influential to recruitment: infrastructure, nature of the research, recruiter characteristics and participant characteristics. The main reason individuals participate in clinical research was believed to be altruism, while logistical issues were considered important for those who declined. Suggestions to improve recruitment included reducing participant burden, providing support for individuals who do not speak English, and forming collaborations with primary care to improve the identification of, and access to, potentially eligible participants. Conclusions Recruiting the target number of research participants was perceived as difficult, especially for clinical trials. New and diverse strategies to ensure that all potentially eligible patients are invited to participate may be beneficial and require further exploration in different settings. Establishing integrated clinical and academic teams with shared responsibilities for recruitment may also facilitate this process. Language barriers and long journey times were considered negative influences to recruitment; although more prominent, these issues are not unique to London and are likely to be important influences in other locations. PMID:24456229

A pragmatic method for transforming clinical research data from the research electronic data capture "REDCap" to Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM): Development and evaluation of REDCap2SDTM.

PubMed

Yamamoto, Keiichi; Ota, Keiko; Akiya, Ippei; Shintani, Ayumi

2017-06-01

The Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) can be used for new drug application studies as well as secondarily for creating a clinical research data warehouse to leverage clinical research study data across studies conducted within the same disease area. However, currently not all clinical research uses Clinical Data Acquisition Standards Harmonization (CDASH) beginning in the set-up phase of the study. Once already initiated, clinical studies that have not utilized CDASH are difficult to map in the SDTM format. In addition, most electronic data capture (EDC) systems are not equipped to export data in SDTM format; therefore, in many cases, statistical software is used to generate SDTM datasets from accumulated clinical data. In order to facilitate efficient secondary use of accumulated clinical research data using SDTM, it is necessary to develop a new tool to enable mapping of information for SDTM, even during or after the clinical research. REDCap is an EDC system developed by Vanderbilt University and is used globally by over 2100 institutions across 108 countries. In this study, we developed a simulated clinical trial to evaluate a tool called REDCap2SDTM that maps information in the Field Annotation of REDCap to SDTM and executes data conversion, including when data must be pivoted to accommodate the SDTM format, dynamically, by parsing the mapping information using R. We confirmed that generating SDTM data and the define.xml file from REDCap using REDCap2SDTM was possible. Conventionally, generation of SDTM data and the define.xml file from EDC systems requires the creation of individual programs for each clinical study. However, our proposed method can be used to generate this data and file dynamically without programming because it only involves entering the mapping information into the Field Annotation, and additional data into specific files. Our proposed method is adaptable not only to new drug application studies but also to all types of research, including observational and public health studies. Our method is also adaptable to clinical data collected with CDASH at the beginning of a study in non-standard format. We believe that this tool will reduce the workload of new drug application studies and will support data sharing and reuse of clinical research data in academia. Copyright © 2017 Elsevier Inc. All rights reserved.

Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register

PubMed Central

2013-01-01

Background Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet. Methods Requirements engineering methods were utilized to identify user requirements. Unified Modeling Language and data modeling methods were used to model the universe of discourse and data sources. Oracle11g were used as the database management system, and the clinical development center (CDC) was used as the application interface. Patient data were anonymized, and we employed authorization and security methods to protect the system. Results We developed a user requirement matrix, which provided a framework for evaluating three translation informatics systems. The implementation of the CDC successfully integrated biological research database (15172 DNA, serum and synovial samples, 1436 cell samples and 65 SNPs per patient) and clinical database (5652 clinical visit) for the cohort of 379 patients presents three profiles. Basic functionalities provided by the translational medicine platform are research data management, development of bioinformatics workflow and analysis, sub-cohort selection, and re-use of clinical data in research settings. Finally, the system allowed researchers to extract subsets of attributes from cohorts according to specific biological, clinical, or statistical features. Conclusions Research and clinical database integration is a real challenge and a road-block in translational research. Through this research we addressed the challenges and demonstrated the usefulness of CDC. We adhered to ethical regulations pertaining to patient data, and we determined that the existing software solutions cannot meet the translational research needs at hand. We used RA as a test case since we have ample data on active and longitudinal cohort. PMID:23548156

Clinical reasoning and its application to nursing: concepts and research studies.

PubMed

Banning, Maggi

2008-05-01

Clinical reasoning may be defined as "the process of applying knowledge and expertise to a clinical situation to develop a solution" [Carr, S., 2004. A framework for understanding clinical reasoning in community nursing. J. Clin. Nursing 13 (7), 850-857]. Several forms of reasoning exist each has its own merits and uses. Reasoning involves the processes of cognition or thinking and metacognition. In nursing, clinical reasoning skills are an expected component of expert and competent practise. Nurse research studies have identified concepts, processes and thinking strategies that might underpin the clinical reasoning used by pre-registration nurses and experienced nurses. Much of the available research on reasoning is based on the use of the think aloud approach. Although this is a useful method, it is dependent on ability to describe and verbalise the reasoning process. More nursing research is needed to explore the clinical reasoning process. Investment in teaching and learning methods is needed to enhance clinical reasoning skills in nurses.

Building sustainable multi-functional prospective electronic clinical data systems.

PubMed

Randhawa, Gurvaneet S; Slutsky, Jean R

2012-07-01

A better alignment in the goals of the biomedical research enterprise and the health care delivery system can help fill the large gaps in our knowledge of the impact of clinical interventions on patient outcomes in the real world. There are several initiatives underway to align the research priorities of patients, providers, researchers, and policy makers. These include Agency for Healthcare Research and Quality (AHRQ)-supported projects to build flexible prospective clinical electronic data infrastructure that meet the needs of these diverse users. AHRQ has previously supported the creation of 2 distributed research networks as a new approach to conduct comparative effectiveness research (CER) while protecting a patient's confidential information and the proprietary needs of a clinical organization. It has applied its experience in building these networks in directing the American Recovery and Reinvestment Act funds for CER to support new clinical electronic infrastructure projects that can be used for several purposes including CER, quality improvement, clinical decision support, and disease surveillance. In addition, AHRQ has funded a new Electronic Data Methods forum to advance the methods in clinical informatics, research analytics, and governance by actively engaging investigators from the American Recovery and Reinvestment Act-funded projects and external stakeholders.

The convergence of personality disorder diagnoses across different methods among monolingual (Spanish-speaking only) Hispanic patients in substance use treatment.

PubMed

Samuel, Douglas B; Añez, Luis M; Paris, Manuel; Grilo, Carlos M

2014-04-01

Methods for diagnosing personality disorders (PDs) within clinical settings typically diverge from those used in treatment research. Treatment groups in research studies are routinely diagnosed using semistructured interviews or self-report questionnaires, yet these methods show poor agreement with clinical diagnoses recorded in medical charts or assigned by treating clinicians, reducing the potential for evidence-based practice. Furthermore, existing research has been limited by focusing on primarily White and English-speaking participants. Our study extended prior research by comparing 4 independent methods of PD diagnosis, including self-report questionnaire, semistructured interview, chart diagnoses, and ratings by treating clinicians, within a clinical series of 130 monolingual (Spanish only) Hispanic persons (69% male; M age 37.4), in treatment for substance use. The authors examined the convergence of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV) PD diagnoses across these methods. PD diagnoses appeared infrequently within medical charts but were diagnosed at higher levels by independent treating clinicians, self-report questionnaires, and semistructured interviews. Nonetheless, diagnostic concordance between clinical diagnoses and the other methods were poor (κ < .20). Convergence of PD diagnoses across diagnostic methods for Spanish-speaking Hispanic persons are comparable to other groups allaying concerns about cross-cultural application of PD diagnoses. Additionally, the results of this study echo previous research in suggesting that clinicians' PD diagnoses overlap little with self-report questionnaires or semistructured diagnostic interviews and suggest that PDs are underdiagnosed using standard diagnostic approaches. Implications for the clinical application of empirically supported research are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved

Comparative effectiveness research and its utility in In-clinic practice

PubMed Central

Dang, Amit; Kaur, Kirandeep

2016-01-01

One of the important components of patient-centered healthcare is comparative effectiveness research (CER), which aims at generating evidence from the real-life setting. The primary purpose of CER is to provide comparative information to the healthcare providers, patients, and policy makers about the standard of care available. This involves research on clinical questions unanswered by the explanatory trials during the regulatory approval process. Main methods of CER involve randomized controlled trials and observational methods. The limitations of these two methods have been overcome with the help of new statistical methods. After the evidence generation, it is equally important to communicate the results to all the interested organizations. CER is beginning to have its impact in the clinical practice as its results become part of the clinical practice guidelines. CER will have far-reaching scientific and financial impact. CER will make both the treating physician and the patient equally responsible for the treatment offered. PMID:26955571

Development of a Research Participants’ Perception Survey to Improve Clinical Research

PubMed Central

Yessis, Jennifer L.; Kost, Rhonda G.; Lee, Laura M.; Coller, Barry S.; Henderson, David K.

2012-01-01

Abstract Introduction: Clinical research participants’ perceptions regarding their experiences during research protocols provide outcome‐based insights into the effectiveness of efforts to protect rights and safety, and opportunities to enhance participants’ clinical research experiences. Use of validated surveys measuring patient‐centered outcomes is standard in hospitals, yet no instruments exist to assess outcomes of clinical research processes. Methods: We derived survey questions from data obtained from focus groups comprised of research participants and professionals. We assessed the survey for face/content validity, and privacy/confidentiality protections and fielded it to research participants at 15 centers. We conducted analyses of response rates, sample characteristics, and psychometrics, including survey and item completion and analysis, internal consistency, item internal consistency, criterion‐related validity, and item usefulness. Responses were tested for fit into existing patient‐centered dimensions of care and new clinical research dimensions using Cronbach's alpha coefficient. Results: Surveys were mailed to 18,890 individuals; 4,961 were returned (29%). Survey completion was 89% overall; completion rates exceeded 90% for 88 of 93 evaluable items. Questions fit into three dimensions of patient‐centered care and two novel clinical research dimensions (Cronbach's alpha for dimensions: 0.69–0.85). Conclusions: The validated survey offers a new method for assessing and improving outcomes of clinical research processes. Clin Trans Sci 2012; Volume 5: 452–460 PMID:23253666

The STAR Data Reporting Guidelines for Clinical High Altitude Research.

PubMed

Brodmann Maeder, Monika; Brugger, Hermann; Pun, Matiram; Strapazzon, Giacomo; Dal Cappello, Tomas; Maggiorini, Marco; Hackett, Peter; Bärtsch, Peter; Swenson, Erik R; Zafren, Ken

2018-03-01

Brodmann Maeder, Monika, Hermann Brugger, Matiram Pun, Giacomo Strapazzon, Tomas Dal Cappello, Marco Maggiorini, Peter Hackett, Peter Baärtsch, Erik R. Swenson, Ken Zafren (STAR Core Group), and the STAR Delphi Expert Group. The STARdata reporting guidelines for clinical high altitude research. High AltMedBiol. 19:7-14, 2018. The goal of the STAR (STrengthening Altitude Research) initiative was to produce a uniform set of key elements for research and reporting in clinical high-altitude (HA) medicine. The STAR initiative was inspired by research on treatment of cardiac arrest, in which the establishment of the Utstein Style, a uniform data reporting protocol, substantially contributed to improving data reporting and subsequently the quality of scientific evidence. The STAR core group used the Delphi method, in which a group of experts reaches a consensus over multiple rounds using a formal method. We selected experts in the field of clinical HA medicine based on their scientific credentials and identified an initial set of parameters for evaluation by the experts. Of 51 experts in HA research who were identified initially, 21 experts completed both rounds. The experts identified 42 key parameters in 5 categories (setting, individual factors, acute mountain sickness and HA cerebral edema, HA pulmonary edema, and treatment) that were considered essential for research and reporting in clinical HA research. An additional 47 supplemental parameters were identified that should be reported depending on the nature of the research. The STAR initiative, using the Delphi method, identified a set of key parameters essential for research and reporting in clinical HA medicine.

CPTAC Accelerates Precision Proteomics Biomedical Research | Office of Cancer Clinical Proteomics Research

Cancer.gov

The accurate quantitation of proteins or peptides using Mass Spectrometry (MS) is gaining prominence in the biomedical research community as an alternative method for analyte measurement. The Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigators have been at the forefront in the promotion of reproducible MS techniques, through the development and application of standardized proteomic methods for protein quantitation on biologically relevant samples.

Clinical research informatics and electronic health record data.

PubMed

Richesson, R L; Horvath, M M; Rusincovitch, S A

2014-08-15

The goal of this survey is to discuss the impact of the growing availability of electronic health record (EHR) data on the evolving field of Clinical Research Informatics (CRI), which is the union of biomedical research and informatics. Major challenges for the use of EHR-derived data for research include the lack of standard methods for ensuring that data quality, completeness, and provenance are sufficient to assess the appropriateness of its use for research. Areas that need continued emphasis include methods for integrating data from heterogeneous sources, guidelines (including explicit phenotype definitions) for using these data in both pragmatic clinical trials and observational investigations, strong data governance to better understand and control quality of enterprise data, and promotion of national standards for representing and using clinical data. The use of EHR data has become a priority in CRI. Awareness of underlying clinical data collection processes will be essential in order to leverage these data for clinical research and patient care, and will require multi-disciplinary teams representing clinical research, informatics, and healthcare operations. Considerations for the use of EHR data provide a starting point for practical applications and a CRI research agenda, which will be facilitated by CRI's key role in the infrastructure of a learning healthcare system.

Clinical Research Informatics and Electronic Health Record Data

PubMed Central

Horvath, M. M.; Rusincovitch, S. A.

2014-01-01

Summary Objectives The goal of this survey is to discuss the impact of the growing availability of electronic health record (EHR) data on the evolving field of Clinical Research Informatics (CRI), which is the union of biomedical research and informatics. Results Major challenges for the use of EHR-derived data for research include the lack of standard methods for ensuring that data quality, completeness, and provenance are sufficient to assess the appropriateness of its use for research. Areas that need continued emphasis include methods for integrating data from heterogeneous sources, guidelines (including explicit phenotype definitions) for using these data in both pragmatic clinical trials and observational investigations, strong data governance to better understand and control quality of enterprise data, and promotion of national standards for representing and using clinical data. Conclusions The use of EHR data has become a priority in CRI. Awareness of underlying clinical data collection processes will be essential in order to leverage these data for clinical research and patient care, and will require multi-disciplinary teams representing clinical research, informatics, and healthcare operations. Considerations for the use of EHR data provide a starting point for practical applications and a CRI research agenda, which will be facilitated by CRI’s key role in the infrastructure of a learning healthcare system. PMID:25123746

A Survey on Clinical Research Training Status and Needs in Public Hospitals from Shenzhen

ERIC Educational Resources Information Center

Ji, Ping; Wang, Haibo; Zhang, Chao; Liu, Min; Zhou, Liping; Xiao, Ping; Wang, Yanfang; Wu, Yangfeng

2017-01-01

Objective: To obtain information on the current clinical research training status and evaluate the training needs comprehensively for medical staff in hospitals. Methods: This survey was initiated and conducted by the Health and Family Planning Commission of Shenzhen in conjunction with the Peking University Clinical Research Institute (Shenzhen)…

IMPROVING THE REPORTING OF THERAPEUTIC EXERCISE INTERVENTIONS IN REHABILITATION RESEARCH.

PubMed

Page, Phil; Hoogenboom, Barb; Voight, Michael

2017-04-01

The foundation of evidence-based practice lies in clinical research, which is based on the utilization of the scientific method. The scientific method requires that all details of the experiment be provided in publications to support replication of the study in order to evaluate and validate the results. More importantly, clinical research can only be translated into practice when researchers provide explicit details of the study. Too often, rehabilitation exercise intervention studies lack the appropriate detail to allow clinicians to replicate the exercise protocol in their patient populations. Therefore, the purpose of this clinical commentary is to provide guidelines for optimal reporting of therapeutic exercise interventions in rehabilitation research. 5.

Overview of clinical research design.

PubMed

Hartung, Daniel M; Touchette, Daniel

2009-02-15

Basic concepts and terminology of clinical research design are presented for new clinical investigators. Clinical research, research involving human subjects, can be described as either observational or experimental. The findings of all clinical research can be threatened by issues of bias and confounding. Biases are systematic errors in how study subjects are selected or measured, which result in false inferences. Confounding is a distortion in findings that is attributable to mixing variable effects. Uncontrolled observation research is generally more prone to bias and confounding than experimental research. Observational research includes designs such as the cohort study, case-control study, and cross-sectional study, while experimental research typically involves a randomized controlled trial (RCT). The cohort study, which includes the RCT, defines subject allocation on the basis of exposure interest (e.g., drug, disease-management program) and follows the patients to assess the outcomes. The case-control study uses the primary outcome of interest (e.g., adverse event) to define subject allocation, and different exposures are assessed in a retrospective manner. Cross-sectional research evaluates both exposure and outcome concurrently. Each of these design methods possesses different strengths and weaknesses in answering research questions, as well as underlying many study subtypes. While experimental research is the strongest method for establishing causality, it can be difficult to accomplish under many scenarios. Observational clinical research offers many design alternatives that may be appropriate if planned and executed carefully.

The Experience of Implementing an Interprofessional Research Methods Course for Student Health Professionals of Population Healt and Clinical Practice. Getting the Right Fit

ERIC Educational Resources Information Center

Wilson, Anne

2008-01-01

Purpose: This paper reports on the adaptation of an existing interpretive and critical research methods course in nursing for postgraduate student health professionals in a School of Population Health and Clinical Practice. Methods: A cyclical approach of inquiry, reflection and planning was undertaken by the teaching team to make changes to the…

A study of clinical nursing research priorities in aged care: a Hong Kong perspective.

PubMed

Chang, Esther; Ho, Carey Kit Bing; Yuen, Anders Chi Man; Hatcher, Deborah

2003-10-01

The aim of this study was to identify clinical research priorities in aged care from the perspectives of rehabilitation aged care nurses in Hong Kong. The Delphi method was used whereby 33 registered nurses working in an aged care rehabilitation ward identified 28 research questions pertaining to areas in which nurses could take a leadership role: clinical research that is of highest value to patients and nurse specialists; clinical research which would provide improved community care; facilitate health promotion and disease prevention and be of value to the professional needs of clinical nurses. Study findings have implications and provide direction for clinical nursing research in aged care.

Applying Process Improvement Methods to Clinical and Translational Research: Conceptual Framework and Case Examples.

PubMed

Daudelin, Denise H; Selker, Harry P; Leslie, Laurel K

2015-12-01

There is growing appreciation that process improvement holds promise for improving quality and efficiency across the translational research continuum but frameworks for such programs are not often described. The purpose of this paper is to present a framework and case examples of a Research Process Improvement Program implemented at Tufts CTSI. To promote research process improvement, we developed online training seminars, workshops, and in-person consultation models to describe core process improvement principles and methods, demonstrate the use of improvement tools, and illustrate the application of these methods in case examples. We implemented these methods, as well as relational coordination theory, with junior researchers, pilot funding awardees, our CTRC, and CTSI resource and service providers. The program focuses on capacity building to address common process problems and quality gaps that threaten the efficient, timely and successful completion of clinical and translational studies. © 2015 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc.

A Feminine Care Clinical Research Program Transforms Women's Lives.

PubMed

Tzeghai, Ghebre E; Ajayi, Funmilayo O; Miller, Kenneth W; Imbescheid, Frank; Sobel, Jack D; Farage, Miranda A

2012-12-17

Feminine hygiene products and menstruation education have transformed the lives of women throughout the world. The P&G Feminine Care Clinical Innovation Research Program has played a key role by expanding scientific knowledge as well as developing technical insights and tools for the development of feminine hygiene products. The aim has been to meet the needs of women throughout their life stages, advancing their urogenital health beyond just menstruation, as well as helping to understand the role of sex hormones in various important health issues that women face. This review article highlights key contributions and research findings in female hygiene products, urogenital health research, and method development. The clinical research team focused on utilizing the results of clinical safety studies to advance the acceptance of feminine hygiene products world-wide. Key findings include that perception of skin sensitivity is not limited to the facial area, but is also relevant to the body and the genital area. Also, they shed light on the role of estrogen in autoimmune diseases as well as premenstrual syndrome. Efforts in the method development area focused on innovative tools that are reliable, predictive of clinical trial results and capable of measuring wear comfort, genital skin health, and the impact of product use on the consumer's quality of life. A novel method, behind-the-knee (BTK) test, developed to model irritation under normal wear conditions, was the first to account for both chemical and mechanical sources of irritation. The method has been accepted by the FDA as a substitute in clinical trials in some cases, and by American Society for Testing and Materials as a global standard test method. Additional proprietary methods were developed to enhance visual grading of irritation using cross-polarized light, to measure the amount of lotion transferred from sanitary pads, and to evaluate the skin mildness. Finally, the Farage Quality of Life tool was created to measure consumer's well-being. Based on the results of this extensive clinical research and the newly developed testing methods, the changing needs of women throughout their life stages are better met.

A Feminine Care Clinical Research Program Transforms Women’s Lives

PubMed Central

Tzeghai, Ghebre E.; Ajayi, Funmilayo O.; Miller, Kenneth W.; Imbescheid, Frank; Sobel, Jack D.; Farage, Miranda A.

2015-01-01

Feminine hygiene products and menstruation education have transformed the lives of women throughout the world. The P&G Feminine Care Clinical Innovation Research Program has played a key role by expanding scientific knowledge as well as developing technical insights and tools for the development of feminine hygiene products. The aim has been to meet the needs of women throughout their life stages, advancing their urogenital health beyond just menstruation, as well as helping to understand the role of sex hormones in various important health issues that women face. This review article highlights key contributions and research findings in female hygiene products, urogenital health research, and method development. The clinical research team focused on utilizing the results of clinical safety studies to advance the acceptance of feminine hygiene products world-wide. Key findings include that perception of skin sensitivity is not limited to the facial area, but is also relevant to the body and the genital area. Also, they shed light on the role of estrogen in autoimmune diseases as well as premenstrual syndrome. Efforts in the method development area focused on innovative tools that are reliable, predictive of clinical trial results and capable of measuring wear comfort, genital skin health, and the impact of product use on the consumer’s quality of life. A novel method, behind-the-knee (BTK) test, developed to model irritation under normal wear conditions, was the first to account for both chemical and mechanical sources of irritation. The method has been accepted by the FDA as a substitute in clinical trials in some cases, and by American Society for Testing and Materials as a global standard test method. Additional proprietary methods were developed to enhance visual grading of irritation using cross-polarized light, to measure the amount of lotion transferred from sanitary pads, and to evaluate the skin mildness. Finally, the Farage Quality of Life tool was created to measure consumer’s well-being. Based on the results of this extensive clinical research and the newly developed testing methods, the changing needs of women throughout their life stages are better met. PMID:25946910

Motivating medical students to do research: a mixed methods study using Self-Determination Theory.

PubMed

Rosenkranz, Sara K; Wang, Shaoyu; Hu, Wendy

2015-06-02

It is widely accepted that all medical graduates should understand the uses and methods of rigorous research, with a need to promote research to graduates who will pursue an academic career. This study aimed to explore, identify and explain what motivates and demotivates medical students to do research. A convergent parallel mixed methods study was conducted. Cross-sectional quantitative survey data (n = 579) and qualitative semi-structured interview findings (n = 23) data were separately collected and analysed. Informed by Self-Determination Theory (SDT), quantitative and qualitative findings were integrated to develop a model for the factors associated with medical students' expressed motivation to do research, and related to clinical and research learning activities at different stages in an undergraduate medical program. Only 7.5% of students had research experience prior to entering the program. Survey results revealed that students who had experienced exposure to the uncertainties of clinical practice through clerkships (Pre-Clinical (48%) vs Clinical Years (64%), p < 0.001), and a sense of achievement through supported compulsory research activities which were conducted as a team (Pre- Community Research (51%) vs Post-Community Research (66%), p < 0.001), were more likely to view future research activities positively. When integrated with qualitative findings using the three SDT domains of autonomy, competence and relatedness, eight major themes were identified: Self & Time, Career, Bureaucracy, Financial, Confidence, Clinical Relevance, Research as a Social Activity, and Personal Relevance. The findings suggest that motivation to do research is associated with increasing internalization of intrinsic motivators; in particular those associated with competence (Confidence) and relatedness (Clinical Relevance, Research as a Social Activity). SDT is useful for understanding the motivation of individuals and how curriculum can be designed to optimise motivation. Study findings suggest that well supported compulsory research activities that incorporate group learning and elements of choice may promote motivation to do research, and potentially, careers in research, even in a research naive student body.

What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997--2006.

PubMed

Rostami, Reza; Nahm, Meredith; Pieper, Carl F

2009-04-01

Despite a pressing and well-documented need for better sharing of information on clinical trials data quality assurance methods, many research organizations remain reluctant to publish descriptions of and results from their internal auditing and quality assessment methods. We present findings from a review of a decade of internal data quality audits performed at the Duke Clinical Research Institute, a large academic research organization that conducts data management for a diverse array of clinical studies, both academic and industry-sponsored. In so doing, we hope to stimulate discussions that could benefit the wider clinical research enterprise by providing insight into methods of optimizing data collection and cleaning, ultimately helping patients and furthering essential research. We present our audit methodologies, including sampling methods, audit logistics, sample sizes, counting rules used for error rate calculations, and characteristics of audited trials. We also present database error rates as computed according to two analytical methods, which we address in detail, and discuss the advantages and drawbacks of two auditing methods used during this 10-year period. Our review of the DCRI audit program indicates that higher data quality may be achieved from a series of small audits throughout the trial rather than through a single large database audit at database lock. We found that error rates trended upward from year to year in the period characterized by traditional audits performed at database lock (1997-2000), but consistently trended downward after periodic statistical process control type audits were instituted (2001-2006). These increases in data quality were also associated with cost savings in auditing, estimated at 1000 h per year, or the efforts of one-half of a full time equivalent (FTE). Our findings are drawn from retrospective analyses and are not the result of controlled experiments, and may therefore be subject to unanticipated confounding. In addition, the scope and type of audits we examine here are specific to our institution, and our results may not be broadly generalizable. Use of statistical process control methodologies may afford advantages over more traditional auditing methods, and further research will be necessary to confirm the reliability and usability of such techniques. We believe that open and candid discussion of data quality assurance issues among academic and clinical research organizations will ultimately benefit the entire research community in the coming era of increased data sharing and re-use.

Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data

PubMed Central

Hung, Bui The; Long, Nguyen Phuoc; Hung, Le Phi; Luan, Nguyen Thien; Anh, Nguyen Hoang; Nghi, Tran Diem; Van Hieu, Mai; Trang, Nguyen Thi Huyen; Rafidinarivo, Herizo Fabien; Anh, Nguyen Ky; Hawkes, David; Huy, Nguyen Tien; Hirayama, Kenji

2015-01-01

Background Evidence-based medicine (EBM) has developed as the dominant paradigm of assessment of evidence that is used in clinical practice. Since its development, EBM has been applied to integrate the best available research into diagnosis and treatment with the purpose of improving patient care. In the EBM era, a hierarchy of evidence has been proposed, including various types of research methods, such as meta-analysis (MA), systematic review (SRV), randomized controlled trial (RCT), case report (CR), practice guideline (PGL), and so on. Although there are numerous studies examining the impact and importance of specific cases of EBM in clinical practice, there is a lack of research quantitatively measuring publication trends in the growth and development of EBM. Therefore, a bibliometric analysis was constructed to determine the scientific productivity of EBM research over decades. Methods NCBI PubMed database was used to search, retrieve and classify publications according to research method and year of publication. Joinpoint regression analysis was undertaken to analyze trends in research productivity and the prevalence of individual research methods. Findings Analysis indicates that MA and SRV, which are classified as the highest ranking of evidence in the EBM, accounted for a relatively small but auspicious number of publications. For most research methods, the annual percent change (APC) indicates a consistent increase in publication frequency. MA, SRV and RCT show the highest rate of publication growth in the past twenty years. Only controlled clinical trials (CCT) shows a non-significant reduction in publications over the past ten years. Conclusions Higher quality research methods, such as MA, SRV and RCT, are showing continuous publication growth, which suggests an acknowledgement of the value of these methods. This study provides the first quantitative assessment of research method publication trends in EBM. PMID:25849641

Research data collection methods: from paper to tablet computers.

PubMed

Wilcox, Adam B; Gallagher, Kathleen D; Boden-Albala, Bernadette; Bakken, Suzanne R

2012-07-01

Primary data collection is a critical activity in clinical research. Even with significant advances in technical capabilities, clear benefits of use, and even user preferences for using electronic systems for collecting primary data, paper-based data collection is still common in clinical research settings. However, with recent developments in both clinical research and tablet computer technology, the comparative advantages and disadvantages of data collection methods should be determined. To describe case studies using multiple methods of data collection, including next-generation tablets, and consider their various advantages and disadvantages. We reviewed 5 modern case studies using primary data collection, using methods ranging from paper to next-generation tablet computers. We performed semistructured telephone interviews with each project, which considered factors relevant to data collection. We address specific issues with workflow, implementation and security for these different methods, and identify differences in implementation that led to different technology considerations for each case study. There remain multiple methods for primary data collection, each with its own strengths and weaknesses. Two recent methods are electronic health record templates and next-generation tablet computers. Electronic health record templates can link data directly to medical records, but are notably difficult to use. Current tablet computers are substantially different from previous technologies with regard to user familiarity and software cost. The use of cloud-based storage for tablet computers, however, creates a specific challenge for clinical research that must be considered but can be overcome.

Bioelectrical impedance methods in clinical research: a follow-up to the NIH Technology Assessment Conference.

PubMed

Ellis, K J; Bell, S J; Chertow, G M; Chumlea, W C; Knox, T A; Kotler, D P; Lukaski, H C; Schoeller, D A

1999-01-01

In 1994, the National Institutes of Health (NIH) convened a Technology Assessment Conference "to provide physicians with a responsible assessment of bioelectrical impedance analysis (BIA) technology for body composition measurement." In 1997, Serono Symposia USA, Inc., organized an invited panel of scientists and clinicians, with extensive research and clinical experience with BIA, to provide an update. Panel members presented reviews based on their own work and published studies for the intervening years. Updates were provided on the single and multifrequency BIA methods and models; continued clinical research experiences; efforts toward establishing population reference norms; and the feasibility of establishing guidelines for potential diagnostic use of BIA in a clinical setting. This report provides a summary of the panel's findings including a consensus on several technical and clinical issues related to the research use of BIA, and those areas that are still in need of additional study.

Critical thinking of student nurses during clinical accompaniment.

PubMed

Uys, B Y; Meyer, S M

2005-08-01

The purpose of this study was to investigate the methods of clinical accompaniment used by clinical facilitators in practice. The findings of the study also reflected facilitators' perceptions regarding critical thinking and the facilitation thereof. A quantitative research design was used. A literature study was conducted to identify the methods of accompaniment that facilitate critical thinking. Data was collected by means of a questionnaire developed for that purpose. Making a content-related validity judgment, and involving seven clinical facilitators in an academic institution, ensured the validity of the questionnaire. The results of the study indicated that various clinical methods of accompaniment were used. To a large extent, these methods correlated with those discussed in the literature review. The researcher further concluded that the concepts 'critical thinking' and 'facilitation' were not interpreted correctly by the respondents, and would therefore not be implemented in a proper manner in nursing practice. Furthermore, it seemed evident that tutor-driven learning realised more often than student-driven learning. In this regard, the requirement of outcomes-based education was not satisfied. The researcher is therefore of the opinion that a practical programme for the development of critical thinking skills during clinical accompaniment must be developed within the framework of outcomes-based education.

Incorporating microbiota data into epidemiologic models: examples from vaginal microbiota research.

PubMed

van de Wijgert, Janneke H; Jespers, Vicky

2016-05-01

Next generation sequencing and quantitative polymerase chain reaction technologies are now widely available, and research incorporating these methods is growing exponentially. In the vaginal microbiota (VMB) field, most research to date has been descriptive. The purpose of this article is to provide an overview of different ways in which next generation sequencing and quantitative polymerase chain reaction data can be used to answer clinical epidemiologic research questions using examples from VMB research. We reviewed relevant methodological literature and VMB articles (published between 2008 and 2015) that incorporated these methodologies. VMB data have been analyzed using ecologic methods, methods that compare the presence or relative abundance of individual taxa or community compositions between different groups of women or sampling time points, and methods that first reduce the complexity of the data into a few variables followed by the incorporation of these variables into traditional biostatistical models. To make future VMB research more clinically relevant (such as studying associations between VMB compositions and clinical outcomes and the effects of interventions on the VMB), it is important that these methods are integrated with rigorous epidemiologic methods (such as appropriate study designs, sampling strategies, and adjustment for confounding). Crown Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Is audit research? The relationships between clinical audit and social-research.

PubMed

Hughes, Rhidian

2005-01-01

Quality has an established history in health care. Audit, as a means of quality assessment, is well understood and the existing literature has identified links between audit and research processes. This paper reviews the relationships between audit and research processes, highlighting how audit can be improved through the principles and practice of social research. The review begins by defining the audit process. It goes on to explore salient relationships between clinical audit and research, grouped into the following broad themes: ethical considerations, highlighting responsibilities towards others and the need for ethical review for audit; asking questions and using appropriate methods, emphasising transparency in audit methods; conceptual issues, including identifying problematic concepts, such as "satisfaction", and the importance of reflexivity within audit; emphasising research in context, highlighting the benefits of vignettes and action research; complementary methods, demonstrating improvements for the quality of findings; and training and multidisciplinary working, suggesting the need for closer relationships between researchers and clinical practitioners. Audit processes cannot be considered research. Both audit and research processes serve distinct purposes. Attention to the principles of research when conducting audit are necessary to improve the quality of audit and, in turn, the quality of health care.

Development and pilot test of a process to identify research needs from a systematic review.

PubMed

Saldanha, Ian J; Wilson, Lisa M; Bennett, Wendy L; Nicholson, Wanda K; Robinson, Karen A

2013-05-01

To ensure appropriate allocation of research funds, we need methods for identifying high-priority research needs. We developed and pilot tested a process to identify needs for primary clinical research using a systematic review in gestational diabetes mellitus. We conducted eight steps: abstract research gaps from a systematic review using the Population, Intervention, Comparison, Outcomes, and Settings (PICOS) framework; solicit feedback from the review authors; translate gaps into researchable questions using the PICOS framework; solicit feedback from multidisciplinary stakeholders at our institution; establish consensus among multidisciplinary external stakeholders on the importance of the research questions using the Delphi method; prioritize outcomes; develop conceptual models to highlight research needs; and evaluate the process. We identified 19 research questions. During the Delphi method, external stakeholders established consensus for 16 of these 19 questions (15 with "high" and 1 with "medium" clinical benefit/importance). We pilot tested an eight-step process to identify clinically important research needs. Before wider application of this process, it should be tested using systematic reviews of other diseases. Further evaluation should include assessment of the usefulness of the research needs generated using this process for primary researchers and funders. Copyright © 2013 Elsevier Inc. All rights reserved.

Analysis of nonintervention studies: technical supplement.

PubMed

Aickin, Mikel

2012-01-01

Methods for analyzing data in nonintervention clinical studies are substantially different from those that are appropriate for randomized clinical trials. Although the latter methods are well known, the former are not. A systematic approach for dealing with statistical confounding in nonintervention research has been developed over the past 30 to 40 years, and the essence of this theory constitutes the contents of this article. An accompanying, less technical article explains the implications of these results for clinical research.

Clinical Reasoning in Massage Therapy

PubMed Central

LeMoon, Kim

2008-01-01

Background: Clinical reasoning has long been a valuable tool for health care practitioners, but it has been under-researched in the field of massage therapy. Case reports have been a useful method for exploring the clinical reasoning process in various fields of manual therapy and can provide a model for similar research in the field of massage therapy. A diagnostically challenging case concerning a client with low back pain serves as a guideline for examining the clinical reasoning process of a massage therapist. Methods: A two-part methodology was employed: Client profileReflective inquiry The inquiry included questions pertaining to beliefs about health problems; beliefs about the mechanisms of pain; medical conditions that could explain the client’s symptoms; knowledge of the client’s anatomy, assessment, and treatment choices; observations made during treatment; extent of experience in treating similar problems; and ability to recognize clinical patterns. Results: The clinical reasoning process of a massage therapist contributed to a differential diagnosis, which provided an explanation for the client’s symptoms and led to a satisfactory treatment resolution. Conclusion: The present report serves as an example of the value of clinical reasoning in the field of massage therapy, and the need for expanded research into its methods and applications. The results of such research could be beneficial in teaching the clinical reasoning process at both the introductory and the advanced levels of massage therapy education. PMID:21589814

What can we learn from a decade of database audits? The Duke Clinical Research Institute experience, 1997–2006

PubMed Central

Rostami, Reza; Nahm, Meredith; Pieper, Carl F.

2011-01-01

Background Despite a pressing and well-documented need for better sharing of information on clinical trials data quality assurance methods, many research organizations remain reluctant to publish descriptions of and results from their internal auditing and quality assessment methods. Purpose We present findings from a review of a decade of internal data quality audits performed at the Duke Clinical Research Institute, a large academic research organization that conducts data management for a diverse array of clinical studies, both academic and industry-sponsored. In so doing, we hope to stimulate discussions that could benefit the wider clinical research enterprise by providing insight into methods of optimizing data collection and cleaning, ultimately helping patients and furthering essential research. Methods We present our audit methodologies, including sampling methods, audit logistics, sample sizes, counting rules used for error rate calculations, and characteristics of audited trials. We also present database error rates as computed according to two analytical methods, which we address in detail, and discuss the advantages and drawbacks of two auditing methods used during this ten-year period. Results Our review of the DCRI audit program indicates that higher data quality may be achieved from a series of small audits throughout the trial rather than through a single large database audit at database lock. We found that error rates trended upward from year to year in the period characterized by traditional audits performed at database lock (1997–2000), but consistently trended downward after periodic statistical process control type audits were instituted (2001–2006). These increases in data quality were also associated with cost savings in auditing, estimated at 1000 hours per year, or the efforts of one-half of a full time equivalent (FTE). Limitations Our findings are drawn from retrospective analyses and are not the result of controlled experiments, and may therefore be subject to unanticipated confounding. In addition, the scope and type of audits we examine here are specific to our institution, and our results may not be broadly generalizable. Conclusions Use of statistical process control methodologies may afford advantages over more traditional auditing methods, and further research will be necessary to confirm the reliability and usability of such techniques. We believe that open and candid discussion of data quality assurance issues among academic and clinical research organizations will ultimately benefit the entire research community in the coming era of increased data sharing and re-use. PMID:19342467

Nursing students’ satisfaction about their field of study

PubMed Central

HAKIM, ASHRAFALSADAT

2014-01-01

Introduction: Nowadays students' opinion is considered as a necessary factor to evaluate quality in universities. This study was performed to evaluate the nursing students' satisfaction about their field of study. Methods: The research population in this study consists of all the students of nursing studying at the second to fourth year of university (72 students). The data were collected from all the studied population. Data collection instrument was a research questionnaire. In this cross-sectional research, nursing students' satisfaction (72 students) in 6 major topics (situation of educational environment, situation of clinical environment, trainers, social image, relation to colleagues and management) was studied. The data were analyzed in SPSS, version 14, using quantitative variables and descriptive statistics including frequency distribution tables and diagrams. Results: The findings indicated that 83.3% of the students had little satisfaction as to the situation of educational environment, 47.2% about situation of clinical environment, 41.7% concerning the theoretical educational method by professors, and 41.7% as to the method of clinical education by clinical trainers. Also 47.2% were not that satisfied with the method of evaluation by the school professors, 80.6% with the method of relationship with colleagues and also 62.5% with the nursing social image. Moreover, findings indicated that 33.3% of the participants in this research were dissatisfied with the method of evaluation by clinical trainers and 50% with the method of nursing management. Conclusion: In the present study, most students had little satisfaction concerning their field of study. So it is necessary to make an attempt for continuous development of quality services. PMID:25512925

What's the Evidence: A Review of the One-Minute Preceptor Model of Clinical Teaching and Implications for Teaching in the Emergency Department.

PubMed

Farrell, Susan E; Hopson, Laura R; Wolff, Margaret; Hemphill, Robin R; Santen, Sally A

2016-09-01

The 2012 Academic Emergency Medicine Consensus Conference, "Education Research in Emergency Medicine: Opportunities, Challenges, and Strategies for Success" noted that emergency medicine (EM) educators often rely on theory and tradition in molding their approaches to teaching and learning, and called on the EM education community to advance the teaching of our specialty through the performance and application of research in teaching and assessment methods, cognitive function, and the effects of education interventions. The purpose of this article is to review the research-based evidence for the effectiveness of the one-minute preceptor (OMP) teaching method, and to provide suggestions for its use in clinical teaching and learning in EM. This article reviews hypothesis-testing education research related to the use of the OMP as a pedagogical method applicable to clinical teaching. Evidence indicates that the OMP prompts the teaching of higher level concepts, facilitates the assessment of students' knowledge, and prompts the provision of feedback. Students indicate satisfaction with this method of clinical case-based discussion teaching. Advancing EM education will require that high quality education research results be translated into actual curricular, pedagogical, assessment, and professional development changes. The OMP is a pedagogical method that is applicable to teaching in the emergency department. Copyright © 2016 Elsevier Inc. All rights reserved.

Use of the experience sampling method in the context of clinical trials

PubMed Central

Verhagen, Simone J W; Hasmi, Laila; Drukker, Marjan; van Os, J; Delespaul, Philippe A E G

2016-01-01

Objective The experience sampling method (ESM) is a structured diary technique to appraise subjective experiences in daily life. It is applied in psychiatric patients, as well as in patients with somatic illness. Despite the potential of ESM assessment, the improved logistics and its increased administration in research, its use in clinical trials remains limited. This paper introduces ESM for clinical trials in psychiatry and beyond. Methods ESM is an ecologically valid method that yields a comprehensive view of an individual's daily life. It allows the assessment of various constructs (eg, quality of life, psychopathology) and psychological mechanisms (eg, stress-sensitivity, coping). These constructs are difficult to assess using cross-sectional questionnaires. ESM can be applied in treatment monitoring, as an ecological momentary intervention, in clinical trials, or in single case clinical trials. Technological advances (eg, smartphone applications) make its implementation easier. Results Advantages of ESM are highlighted and disadvantages are discussed. Furthermore, the ecological nature of ESM data and its consequences are explored, including the potential pitfalls of ambiguously formulated research questions and the specificities of ESM in statistical analyses. The last section focuses on ESM in relation to clinical trials and discusses its future use in optimising clinical decision-making. Conclusions ESM can be a valuable asset in clinical trial research and should be used more often to study the benefits of treatment in psychiatry and somatic health. PMID:27443678

Qualitative Analysis of the Interdisciplinary Interaction between Data Analysis Specialists and Novice Clinical Researchers

PubMed Central

Zammar, Guilherme Roberto; Shah, Jatin; Bonilauri Ferreira, Ana Paula; Cofiel, Luciana; Lyles, Kenneth W.; Pietrobon, Ricardo

2010-01-01

Background The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field. As a result, knowledge exchange may often be characterized by miscommunication leading to misinterpretation, ultimately resulting in errors in research and even clinical practice. Though communication has a central role in interdisciplinary collaboration and since miscommunication can have a negative impact on research processes, to the best of our knowledge, no study has yet explored how data analysis specialists and clinical researchers communicate over time. Methods/Principal Findings We conducted qualitative analysis of encounters between clinical researchers and data analysis specialists (epidemiologist, clinical epidemiologist, and data mining specialist). These encounters were recorded and systematically analyzed using a grounded theory methodology for extraction of emerging themes, followed by data triangulation and analysis of negative cases for validation. A policy analysis was then performed using a system dynamics methodology looking for potential interventions to improve this process. Four major emerging themes were found. Definitions using lay language were frequently employed as a way to bridge the language gap between the specialties. Thought experiments presented a series of “what if” situations that helped clarify how the method or information from the other field would behave, if exposed to alternative situations, ultimately aiding in explaining their main objective. Metaphors and analogies were used to translate concepts across fields, from the unfamiliar to the familiar. Prolepsis was used to anticipate study outcomes, thus helping specialists understand the current context based on an understanding of their final goal. Conclusion/Significance The communication between clinical researchers and data analysis specialists presents multiple challenges that can lead to errors. PMID:20195374

Bayesian methodology for the design and interpretation of clinical trials in critical care medicine: a primer for clinicians.

PubMed

Kalil, Andre C; Sun, Junfeng

2014-10-01

To review Bayesian methodology and its utility to clinical decision making and research in the critical care field. Clinical, epidemiological, and biostatistical studies on Bayesian methods in PubMed and Embase from their inception to December 2013. Bayesian methods have been extensively used by a wide range of scientific fields, including astronomy, engineering, chemistry, genetics, physics, geology, paleontology, climatology, cryptography, linguistics, ecology, and computational sciences. The application of medical knowledge in clinical research is analogous to the application of medical knowledge in clinical practice. Bedside physicians have to make most diagnostic and treatment decisions on critically ill patients every day without clear-cut evidence-based medicine (more subjective than objective evidence). Similarly, clinical researchers have to make most decisions about trial design with limited available data. Bayesian methodology allows both subjective and objective aspects of knowledge to be formally measured and transparently incorporated into the design, execution, and interpretation of clinical trials. In addition, various degrees of knowledge and several hypotheses can be tested at the same time in a single clinical trial without the risk of multiplicity. Notably, the Bayesian technology is naturally suited for the interpretation of clinical trial findings for the individualized care of critically ill patients and for the optimization of public health policies. We propose that the application of the versatile Bayesian methodology in conjunction with the conventional statistical methods is not only ripe for actual use in critical care clinical research but it is also a necessary step to maximize the performance of clinical trials and its translation to the practice of critical care medicine.

caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research.

PubMed

Crowley, Rebecca S; Castine, Melissa; Mitchell, Kevin; Chavan, Girish; McSherry, Tara; Feldman, Michael

2010-01-01

The authors report on the development of the Cancer Tissue Information Extraction System (caTIES)--an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algorithms, grid communication and security frameworks, and query visualization methods. The system fills an important need for text-derived clinical data in translational research such as tissue-banking and clinical trials. The design of caTIES addresses three critical issues for informatics support of translational research: (1) federation of research data sources derived from clinical systems; (2) expressive graphical interfaces for concept-based text mining; and (3) regulatory and security model for supporting multi-center collaborative research. Implementation of the system at several Cancer Centers across the country is creating a potential network of caTIES repositories that could provide millions of de-identified clinical reports to users. The system provides an end-to-end application of medical natural language processing to support multi-institutional translational research programs.

Clinical Research with Transcranial Direct Current Stimulation (tDCS): Challenges and Future Directions

PubMed Central

Brunoni, Andre Russowsky; Nitsche, Michael A.; Bolognini, Nadia; Bikson, Marom; Wagner, Tim; Merabet, Lotfi; Edwards, Dylan J.; Valero-Cabre, Antoni; Rotenberg, Alexander; Pascual-Leone, Alvaro; Ferrucci, Roberta; Priori, Alberto; Boggio, Paulo; Fregni, Felipe

2011-01-01

Background Transcranial direct current stimulation (tDCS) is a neuromodulatory technique that delivers low-intensity, direct current to cortical areas facilitating or inhibiting spontaneous neuronal activity. In the past ten years, tDCS physiological mechanisms of action have been intensively investigated giving support for the investigation of its applications in clinical neuropsychiatry and rehabilitation. However, new methodological, ethical, and regulatory issues emerge when translating the findings of preclinical and phase I studies into phase II and III clinical studies. The aim of this comprehensive review is to discuss the key challenges of this process and possible methods to address them. Methods We convened a workgroup of researchers in the field to review, discuss and provide updates and key challenges of neuromodulation use for clinical research. Main Findings/Discussion We reviewed several basic and clinical studies in the field and identified potential limitations, taking into account the particularities of the technique. We review and discuss the findings into four topics: (i) mechanisms of action of tDCS, parameters of use and computer-based human brain modeling investigating electric current fields and magnitude induced by tDCS; (ii) methodological aspects related to the clinical research of tDCS as divided according to study phase (i.e., preclinical, phase I, phase II and phase III studies); (iii) ethical and regulatory concerns; (iv) future directions regarding novel approaches, novel devices, and future studies involving tDCS. Finally, we propose some alternative methods to facilitate clinical research on tDCS. PMID:22037126

Web-based multimedia information retrieval for clinical application research

NASA Astrophysics Data System (ADS)

Cao, Xinhua; Hoo, Kent S., Jr.; Zhang, Hong; Ching, Wan; Zhang, Ming; Wong, Stephen T. C.

2001-08-01

We described a web-based data warehousing method for retrieving and analyzing neurological multimedia information. The web-based method supports convenient access, effective search and retrieval of clinical textual and image data, and on-line analysis. To improve the flexibility and efficiency of multimedia information query and analysis, a three-tier, multimedia data warehouse for epilepsy research has been built. The data warehouse integrates clinical multimedia data related to epilepsy from disparate sources and archives them into a well-defined data model.

Implementation of the CDC translational informatics platform--from genetic variants to the national Swedish Rheumatology Quality Register.

PubMed

Abugessaisa, Imad; Gomez-Cabrero, David; Snir, Omri; Lindblad, Staffan; Klareskog, Lars; Malmström, Vivianne; Tegnér, Jesper

2013-04-02

Sequencing of the human genome and the subsequent analyses have produced immense volumes of data. The technological advances have opened new windows into genomics beyond the DNA sequence. In parallel, clinical practice generate large amounts of data. This represents an underused data source that has much greater potential in translational research than is currently realized. This research aims at implementing a translational medicine informatics platform to integrate clinical data (disease diagnosis, diseases activity and treatment) of Rheumatoid Arthritis (RA) patients from Karolinska University Hospital and their research database (biobanks, genotype variants and serology) at the Center for Molecular Medicine, Karolinska Institutet. Requirements engineering methods were utilized to identify user requirements. Unified Modeling Language and data modeling methods were used to model the universe of discourse and data sources. Oracle11g were used as the database management system, and the clinical development center (CDC) was used as the application interface. Patient data were anonymized, and we employed authorization and security methods to protect the system. We developed a user requirement matrix, which provided a framework for evaluating three translation informatics systems. The implementation of the CDC successfully integrated biological research database (15172 DNA, serum and synovial samples, 1436 cell samples and 65 SNPs per patient) and clinical database (5652 clinical visit) for the cohort of 379 patients presents three profiles. Basic functionalities provided by the translational medicine platform are research data management, development of bioinformatics workflow and analysis, sub-cohort selection, and re-use of clinical data in research settings. Finally, the system allowed researchers to extract subsets of attributes from cohorts according to specific biological, clinical, or statistical features. Research and clinical database integration is a real challenge and a road-block in translational research. Through this research we addressed the challenges and demonstrated the usefulness of CDC. We adhered to ethical regulations pertaining to patient data, and we determined that the existing software solutions cannot meet the translational research needs at hand. We used RA as a test case since we have ample data on active and longitudinal cohort.

Use of Telehealth for Research and Clinical Measures in Cochlear Implant Recipients: A Validation Study

ERIC Educational Resources Information Center

Hughes, Michelle L.; Goehring, Jenny L.; Baudhuin, Jacquelyn L.; Diaz, Gina R.; Sanford, Todd; Harpster, Roger; Valente, Daniel L.

2012-01-01

Purpose: The goal of this study was to compare clinical and research-based cochlear implant (CI) measures using telehealth versus traditional methods. Method: This prospective study used an ABA design (A = laboratory, B = remote site). All measures were made twice per visit for the purpose of assessing within-session variability. Twenty-nine adult…

Decline of clinical research in academic medical centers.

PubMed

Meador, Kimford J

2015-09-29

Marked changes in US medical school funding began in the 1960s with progressively increasing revenues from clinical services. The growth of clinical revenues slowed in the mid-1990s, creating a funding crisis for US academic health care centers, who responded by having their faculty increase their clinical duties at the expense of research activities. Surveys document the resultant stresses on the academic clinician researcher. The NIH provides greater funding for basic and translational research than for clinical research, and the new Patient-Centered Outcomes Research Institute is inadequately funded to address the scope of needed clinical research. An increasing portion of clinical research is funded by industry, which leaves many important clinical issues unaddressed. There is an inadequate supply of skilled clinical researchers and a lack of external support for clinical research. The impact on the academic environment in university medical centers is especially severe on young faculty, who have a shrinking potential to achieve successful academic careers. National health care research funding policies should encourage the right balance of life-science investigations. Medical universities need to improve and highlight education on clinical research for students, residents, fellows, and young faculty. Medical universities also need to provide appropriate incentives for clinical research. Without training to ensure an adequate supply of skilled clinical researchers and a method to adequately fund clinical research, discoveries from basic and translational research cannot be clinically tested and affect patient care. Thus, many clinical problems will continue to be evaluated and treated with inadequate or even absent evidence-based knowledge. © 2015 American Academy of Neurology.

Decline of clinical research in academic medical centers

PubMed Central

2015-01-01

Marked changes in US medical school funding began in the 1960s with progressively increasing revenues from clinical services. The growth of clinical revenues slowed in the mid-1990s, creating a funding crisis for US academic health care centers, who responded by having their faculty increase their clinical duties at the expense of research activities. Surveys document the resultant stresses on the academic clinician researcher. The NIH provides greater funding for basic and translational research than for clinical research, and the new Patient-Centered Outcomes Research Institute is inadequately funded to address the scope of needed clinical research. An increasing portion of clinical research is funded by industry, which leaves many important clinical issues unaddressed. There is an inadequate supply of skilled clinical researchers and a lack of external support for clinical research. The impact on the academic environment in university medical centers is especially severe on young faculty, who have a shrinking potential to achieve successful academic careers. National health care research funding policies should encourage the right balance of life-science investigations. Medical universities need to improve and highlight education on clinical research for students, residents, fellows, and young faculty. Medical universities also need to provide appropriate incentives for clinical research. Without training to ensure an adequate supply of skilled clinical researchers and a method to adequately fund clinical research, discoveries from basic and translational research cannot be clinically tested and affect patient care. Thus, many clinical problems will continue to be evaluated and treated with inadequate or even absent evidence-based knowledge. PMID:26156509

Mixing Research Methods in Health Professional Degrees: Thoughts for Undergraduate Students and Supervisors

ERIC Educational Resources Information Center

Anaf, Sophie; Sheppard, Lorraine A.

2007-01-01

This commentary considers some of the challenges of applying mixed methods research in undergraduate research degrees, especially in professions with a clinical health focus. Our experience in physiotherapy academia is used as an example. Mixed methods research is increasingly appreciated in its own right as a "third paradigm," however the success…

Tasks of research in forensic medicine - different study types in clinical research and forensic medicine.

PubMed

Madea, Burkhard; Saukko, Pekka; Musshoff, Frank

2007-01-17

In the last years the research output of forensic medicine has sometimes been regarded as insufficient and as of poor quality, especially when parameters as impact factors and external funding were taken into account. However, forensic medicine has different tasks compared to clinical medicine. The main difference between basic subjects, clinical and forensic medicine is not a lack of scientific efficiency in forensic medicine but is a result of the questions asked, the available methods and specific aims. In contrast to natural-scientific research, forensic science has furthermore important intersections with arts and socio-scientific disciplines. Etiologic and pathogenetic research is of only limited relevance in forensic medicine. Thus, forensic medicine is excluded from these research fields, which are mainly supported by external funding. In forensic medicine research mainly means applied research regarding findings, the probative value and reconstruction as well as examination at different points of intersection between medicine and law. Clinical types of research such as controlled randomised, prospective cross-sectional, cohort or case-control studies can only rarely be applied in forensic medicine due to the area specific research fields (e.g. thantatology, violent death, vitality, traffic medicine, analytical toxicology, hemogenetics and stain analysis). The types of studies which are successfully established in forensic medicine are comparison of methods, sensitivity studies, validation of methods, kinetic examinations etc. Tasks of research in forensic medicine and study types, which may be applied will be addressed.

[Prosthodontic research design from the standpoint of statistical analysis: learning and knowing the research design].

PubMed

Tanoue, Naomi

2007-10-01

For any kind of research, "Research Design" is the most important. The design is used to structure the research, to show how all of the major parts of the research project. It is necessary for all the researchers to begin the research after planning research design for what is the main theme, what is the background and reference, what kind of data is needed, and what kind of analysis is needed. It seems to be a roundabout route, but, in fact, it will be a shortcut. The research methods must be appropriate to the objectives of the study. Regarding the hypothesis-testing research that is the traditional style of the research, the research design based on statistics is undoubtedly necessary considering that the research basically proves "a hypothesis" with data and statistics theory. On the subject of the clinical trial, which is the clinical version of the hypothesis-testing research, the statistical method must be mentioned in a clinical trial planning. This report describes the basis of the research design for a prosthodontics study.

Canary: An NLP Platform for Clinicians and Researchers.

PubMed

Malmasi, Shervin; Sandor, Nicolae L; Hosomura, Naoshi; Goldberg, Matt; Skentzos, Stephen; Turchin, Alexander

2017-05-03

Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience. It was designed to be fast and work out of the box via a user-friendly graphical interface.

The feasibility, perceived satisfaction, and value of using synchronous webinars to educate clinical research professionals on reporting adverse events in clinical trials: a report from the Children's Oncology Group.

PubMed

Borgerson, Dawn; Dino, Jennifer

2012-01-01

Clinical research professionals are faced with decreased funding and increased workloads; innovative methods of professional development programs are necessary to accommodate these factors. This study evaluated the feasibility, perceived satisfaction, and value of using webinars to educate clinical research professionals on reporting adverse events commonly experienced in pediatric oncology clinical trials. The setting incorporated synchronous web-based educational technology. Constructivist learning provides the theoretical framework for this study. Participants evaluated the professional development program at 2 time points: (a) at the conclusion and (b) 4 to 6 weeks afterward, using survey method. Synchronous webinars were both economical and effective in educating clinical research professionals across institutional sites. Participants reported exceptionally high levels of satisfaction with the accessibility, scope, quality, and interactivity of the professional development program. The vast majority of participants reported that the education would assist with reporting adverse events in pediatric oncology clinical trials and this perception persisted into clinical practice. Although the results of this study were intended to guide future educational efforts of the Children's Oncology Group, they may also apply to other cooperative groups.

[Evaluation of the results of clinical trials using a new non-statistical method].

PubMed

Zofková, I

1994-04-04

The author presents information on the possibilities and some advantages associated with the application of a new nonstatistical (gnostic) method for evaluation of results in clinical trials. The mentioned method is among other properties very robust, i.e. suited for evaluation of small groups of highly scattered data, a situation very frequently encountered in clinical research.

Improving Defense Health Program Medical Research Processes

DTIC Science & Technology

2017-08-08

needed for DHP medical research , such as the Army’s Clinical and Translational Research Program Office, 38 the Navy’s Research Methods Training Program... research stated, “key infrastructure for a learning health system will encompass three core elements: data networks, methods , and workforce.” 221 A 2012... Research Methods Training Program, 132 which will be further discussed in Appendix D.2. AIR FORCE Air Force Instruction 40-402, Protection of

Nursing students' satisfaction about their field of study.

PubMed

Hakim, Ashrafalsadat

2014-04-01

Nowadays students' opinion is considered as a necessary factor to evaluate quality in universities. This study was performed to evaluate the nursing students' satisfaction about their field of study. The research population in this study consists of all the students of nursing studying at the second to fourth year of university (72 students). The data were collected from all the studied population. Data collection instrument was a research questionnaire. In this cross-sectional research, nursing students' satisfaction (72 students) in 6 major topics (situation of educational environment, situation of clinical environment, trainers, social image, relation to colleagues and management) was studied. The data were analyzed in SPSS, version 14, using quantitative variables and descriptive statistics including frequency distribution tables and diagrams. The findings indicated that 83.3% of the students had little satisfaction as to the situation of educational environment, 47.2% about situation of clinical environment, 41.7% concerning the theoretical educational method by professors, and 41.7% as to the method of clinical education by clinical trainers. Also 47.2% were not that satisfied with the method of evaluation by the school professors, 80.6% with the method of relationship with colleagues and also 62.5% with the nursing social image. Moreover, findings indicated that 33.3% of the participants in this research were dissatisfied with the method of evaluation by clinical trainers and 50% with the method of nursing management. In the present study, most students had little satisfaction concerning their field of study. So it is necessary to make an attempt for continuous development of quality services.

Highly effective cystic fibrosis clinical research teams: critical success factors.

PubMed

Retsch-Bogart, George Z; Van Dalfsen, Jill M; Marshall, Bruce C; George, Cynthia; Pilewski, Joseph M; Nelson, Eugene C; Goss, Christopher H; Ramsey, Bonnie W

2014-08-01

Bringing new therapies to patients with rare diseases depends in part on optimizing clinical trial conduct through efficient study start-up processes and rapid enrollment. Suboptimal execution of clinical trials in academic medical centers not only results in high cost to institutions and sponsors, but also delays the availability of new therapies. Addressing the factors that contribute to poor outcomes requires novel, systematic approaches tailored to the institution and disease under study. To use clinical trial performance metrics data analysis to select high-performing cystic fibrosis (CF) clinical research teams and then identify factors contributing to their success. Mixed-methods research, including semi-structured qualitative interviews of high-performing research teams. CF research teams at nine clinical centers from the CF Foundation Therapeutics Development Network. Survey of site characteristics, direct observation of team meetings and facilities, and semi-structured interviews with clinical research team members and institutional program managers and leaders in clinical research. Critical success factors noted at all nine high-performing centers were: 1) strong leadership, 2) established and effective communication within the research team and with the clinical care team, and 3) adequate staff. Other frequent characteristics included a mature culture of research, customer service orientation in interactions with study participants, shared efficient processes, continuous process improvement activities, and a businesslike approach to clinical research. Clinical research metrics allowed identification of high-performing clinical research teams. Site visits identified several critical factors leading to highly successful teams that may help other clinical research teams improve clinical trial performance.

Altruism in Clinical Research: Coordinators’ Orientation to their Professional Roles

PubMed Central

Fisher, Jill A.; Kalbaugh, Corey A.

2011-01-01

Background Research coordinators have significant responsibilities in clinical trials that often require them to find unique ways to manage their jobs, thus re-shaping their professional identities. Purpose The purpose of this study is to identify how research coordinators manage role and ethical conflicts within clinical research trials. Method A qualitative study combining observation and 63 semi-structured interviews at 25 research organizations was used. Discussion Altruism is a recurring theme in how research coordinators define and view their work. Conclusion Altruism is adopted by research coordinators: 1) to teach patient-subjects the appropriate reasons to participate in clinical research, 2) to minimize the conflict between research and care, and 3) to contest the undervaluation of coordinating. Altruism is a strategy employed to handle the various conflicts they experience in a difficult job, and it has become part of the professional identity of clinical research coordinators. PMID:22083045

How to emerge from the conservatism in clinical research methodology?

PubMed

Kotecki, Nuria; Penel, Nicolas; Awada, Ahmad

2017-09-01

Despite recent changes in clinical research methodology, many challenges remain in drug development methodology. Advances in molecular biology and cancer treatments have changed the clinical research landscape. Thus, we moved from empirical clinical oncology to molecular and immunological therapeutic approaches. Along with this move, adapted dose-limiting toxicities definitions, endpoints, and dose escalation methods have been proposed. Moreover, the classical frontier between phase I, phase II, and phase III has become unclear in particular for immunological approaches. So, investigators are facing major challenges in drug development methodology. We propose to individualize clinical research using innovative approaches to significantly improve patient outcomes and targeting what is considered unmet need. Integrating high level of translational research and performing well designed biomarker studies with great potential for clinical practice are of utmost importance. This could be performed within new models of clinical research networks and by building a strong collaboration between academic, cooperative groups, on-site investigators, and pharma.

The structured menstrual history: developing a tool to facilitate diagnosis and aid in symptom management.

PubMed

Matteson, Kristen A; Munro, Malcolm G; Fraser, Ian S

2011-09-01

Abnormal uterine bleeding (AUB) is a prevalent symptom that encompasses abnormalities in menstrual regularity, duration, frequency and/or volume, and it is encountered frequently by both primary care physicians and obstetrician-gynecologists. Research on AUB has used numerous methods to measure bleeding and assess symptoms, but the lack of universally accepted outcome measures hinder the quality of research and the ability of clinical investigators to collaborate in multicenter trials. Similarly, clinical care for women reporting heavy, prolonged, or irregular menstrual bleeding is not optimized because standard ways of evaluating symptoms and change in symptoms over time do not exist. This article describes (1) the current methods of evaluating women with AUB, both in research and clinical care; and (2) offers suggestions for the development of a standardized structured menstrual history for use in both research and clinical care. © Thieme Medical Publishers.

In the margins of the mind: development of a projective research methodology for the study of nursing practice.

PubMed

Regan, Mary; Liaschenko, Joan

2008-01-01

This article presents an original research method derived from the Thematic Apperception Test used in clinical psychology to understand human motivation and action. The research method is derived from the theory of projection, which states that humans will perceive stimuli in terms of their own expectations and motives and will credit others with their own attitudes, beliefs, traits, and dispositions. Projective techniques are one of a handful of methods that provide access to this type of knowledge since it resides below the level of consciousness. Use of this type of method in nursing research may be fruitful because of its capacity to make apparent the complex interplay between a clinician's beliefs and the interpretation of meaning that motivates clinical action.

Online social networks for patient involvement and recruitment in clinical research.

PubMed

Ryan, Gemma Sinead

2013-01-01

To review current literature and discuss the potential of online social networking to engage patients and the public and recruit and retain participants in clinical research. Online social networking is becoming a large influence on people's daily lives. Clinical research faces several challenges, with an increasing need to engage with patients and the public and for studies to recruit and retain increasing numbers of participants, particularly in under-served, under-represented and hard to reach groups and communities. Searches were conducted using EMBASE, BNI, ERIC, CINAHL, PSYCHinfo online databases and Google Scholar to identify any grey or unpublished literature that may be available. Review methods This is a methodology paper. Online social networking is a successful, cost-effective and efficient method by which to target and recruit a wide range of communities, adolescents, young people and underserved populations into quantitative and qualitative research. Retention of participants in longitudinal studies could be improved using social networks such as Facebook. Evidence indicates that a mixed approach to recruitment using social networking and traditional methods is most effective. Further research is required to strengthen the evidence available, especially in dissemination of research through online social networks. Researchers should consider using online social networking as a method of engaging the public, and also for the recruitment and follow up of participants.

How are qualitative methods used in diabetes research? A 30-year systematic review.

PubMed

Hennink, Monique M; Kaiser, Bonnie N; Sekar, Swathi; Griswold, Emily P; Ali, Mohammed K

2017-02-01

We aimed to describe how qualitative methods are used in global research on diabetes and identify opportunities whereby qualitative methods could further benefit our understanding of the human experience of diabetes and interventions to address it. We conducted a systematic review of National Library of Medicine, EMBASE, and Web of Science electronic databases to identify original research articles that used qualitative methods to study diabetes between 1980 and 2011. We identified 554 eligible articles and categorised these by geographic region, year of publication, study population, study design, research question, qualitative data collection methods, and journal type. Results show low use of qualitative methods in diabetes research over the past 30 years. The majority of articles (75%) reported using substantive qualitative research, while mixed-methods research has remained underutilised. Eighty-five per cent of articles reported studies conducted in North America or Europe, with few studies in developing countries. Most articles reported recruiting clinic-based populations (58%). Over half (54%) of research questions focused on patient experience and 24% on diabetes management. Qualitative methods can provide important insights about socio-cultural aspects of disease to improve disease management. However, they remain underutilised for understanding the diabetes experience, especially in Africa and Asia and amongst non-clinic populations.

A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research

PubMed Central

Yamamoto, Keiichi; Sumi, Eriko; Yamazaki, Toru; Asai, Keita; Yamori, Masashi; Teramukai, Satoshi; Bessho, Kazuhisa; Yokode, Masayuki; Fukushima, Masanori

2012-01-01

Objective The use of electronic medical record (EMR) data is necessary to improve clinical research efficiency. However, it is not easy to identify patients who meet research eligibility criteria and collect the necessary information from EMRs because the data collection process must integrate various techniques, including the development of a data warehouse and translation of eligibility criteria into computable criteria. This research aimed to demonstrate an electronic medical records retrieval system (ERS) and an example of a hospital-based cohort study that identified both patients and exposure with an ERS. We also evaluated the feasibility and usefulness of the method. Design The system was developed and evaluated. Participants In total, 800 000 cases of clinical information stored in EMRs at our hospital were used. Primary and secondary outcome measures The feasibility and usefulness of the ERS, the method to convert text from eligible criteria to computable criteria, and a confirmation method to increase research data accuracy. Results To comprehensively and efficiently collect information from patients participating in clinical research, we developed an ERS. To create the ERS database, we designed a multidimensional data model optimised for patient identification. We also devised practical methods to translate narrative eligibility criteria into computable parameters. We applied the system to an actual hospital-based cohort study performed at our hospital and converted the test results into computable criteria. Based on this information, we identified eligible patients and extracted data necessary for confirmation by our investigators and for statistical analyses with our ERS. Conclusions We propose a pragmatic methodology to identify patients from EMRs who meet clinical research eligibility criteria. Our ERS allowed for the efficient collection of information on the eligibility of a given patient, reduced the labour required from the investigators and improved the reliability of the results. PMID:23117567

Increasing Complexity of Clinical Research in Gastroenterology: Implications for Training Clinician-Scientists

PubMed Central

Scott, Frank I.; McConnell, Ryan A.; Lewis, Matthew E.; Lewis, James D.

2014-01-01

Background Significant advances have been made in clinical and epidemiologic research methods over the past 30 years. We sought to demonstrate the impact of these advances on published research in gastroenterology from 1980 to 2010. Methods Three journals (Gastroenterology, Gut, and American Journal of Gastroenterology) were selected for evaluation given their continuous publication during the study period. Twenty original clinical articles were randomly selected from each journal from 1980, 1990, 2000, and 2010. Each article was assessed for topic studied, whether the outcome was clinical or physiologic, study design, sample size, number of authors and centers collaborating, and reporting of statistical methods such as sample size calculations, p-values, confidence intervals, and advanced techniques such as bioinformatics or multivariate modeling. Research support with external funding was also recorded. Results A total of 240 articles were included in the study. From 1980 to 2010, there was a significant increase in analytic studies (p<0.001), clinical outcomes (p=0.003), median number of authors per article (p<0.001), multicenter collaboration (p<0.001), sample size (p<0.001), and external funding (p<0.001)). There was significantly increased reporting of p-values (p=0.01), confidence intervals (p<0.001), and power calculations (p<0.001). There was also increased utilization of large multicenter databases (p=0.001), multivariate analyses (p<0.001), and bioinformatics techniques (p=0.001). Conclusions There has been a dramatic increase in complexity in clinical research related to gastroenterology and hepatology over the last three decades. This increase highlights the need for advanced training of clinical investigators to conduct future research. PMID:22475957

Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project

PubMed Central

Jackson, Rebecca D; Best, Thomas M; Borlawsky, Tara B; Lai, Albert M; James, Stephen; Gurcan, Metin N

2012-01-01

The conduct of clinical and translational research regularly involves the use of a variety of heterogeneous and large-scale data resources. Scalable methods for the integrative analysis of such resources, particularly when attempting to leverage computable domain knowledge in order to generate actionable hypotheses in a high-throughput manner, remain an open area of research. In this report, we describe both a generalizable design pattern for such integrative knowledge-anchored hypothesis discovery operations and our experience in applying that design pattern in the experimental context of a set of driving research questions related to the publicly available Osteoarthritis Initiative data repository. We believe that this ‘test bed’ project and the lessons learned during its execution are both generalizable and representative of common clinical and translational research paradigms. PMID:22647689

The applicability of Lean and Six Sigma techniques to clinical and translational research.

PubMed

Schweikhart, Sharon A; Dembe, Allard E

2009-10-01

Lean and Six Sigma are business management strategies commonly used in production industries to improve process efficiency and quality. During the past decade, these process improvement techniques increasingly have been applied outside the manufacturing sector, for example, in health care and in software development. This article concerns the potential use of Lean and Six Sigma in improving the processes involved in clinical and translational research. Improving quality, avoiding delays and errors, and speeding up the time to implementation of biomedical discoveries are prime objectives of the National Institutes of Health (NIH) Roadmap for Medical Research and the NIH's Clinical and Translational Science Award program. This article presents a description of the main principles, practices, and methods used in Lean and Six Sigma. Available literature involving applications of Lean and Six Sigma to health care, laboratory science, and clinical and translational research is reviewed. Specific issues concerning the use of these techniques in different phases of translational research are identified. Examples of Lean and Six Sigma applications that are being planned at a current Clinical and Translational Science Award site are provided, which could potentially be replicated elsewhere. We describe how different process improvement approaches are best adapted for particular translational research phases. Lean and Six Sigma process improvement methods are well suited to help achieve NIH's goal of making clinical and translational research more efficient and cost-effective, enhancing the quality of the research, and facilitating the successful adoption of biomedical research findings into practice.

The trials methodological research agenda: results from a priority setting exercise

PubMed Central

2014-01-01

Background Research into the methods used in the design, conduct, analysis, and reporting of clinical trials is essential to ensure that effective methods are available and that clinical decisions made using results from trials are based on the best available evidence, which is reliable and robust. Methods An on-line Delphi survey of 48 UK Clinical Research Collaboration registered Clinical Trials Units (CTUs) was undertaken. During round one, CTU Directors were asked to identify important topics that require methodological research. During round two, their opinion about the level of importance of each topic was recorded, and during round three, they were asked to review the group’s average opinion and revise their previous opinion if appropriate. Direct reminders were sent to maximise the number of responses at each round. Results are summarised using descriptive methods. Results Forty one (85%) CTU Directors responded to at least one round of the Delphi process: 25 (52%) responded in round one, 32 (67%) responded in round two, 24 (50%) responded in round three. There were only 12 (25%) who responded to all three rounds and 18 (38%) who responded to both rounds two and three. Consensus was achieved amongst CTU Directors that the top three priorities for trials methodological research were ‘Research into methods to boost recruitment in trials’ (considered the highest priority), ‘Methods to minimise attrition’ and ‘Choosing appropriate outcomes to measure’. Fifty other topics were included in the list of priorities and consensus was reached that two topics, ‘Radiotherapy study designs’ and ‘Low carbon trials’, were not priorities. Conclusions This priority setting exercise has identified the research topics felt to be most important to the key stakeholder group of Directors of UKCRC registered CTUs. The use of robust methodology to identify these priorities will help ensure that this work informs the trials methodological research agenda, with a focus on topics that will have most impact and relevance. PMID:24456928

Evaluating statistical and clinical significance of intervention effects in single-case experimental designs: an SPSS method to analyze univariate data.

PubMed

Maric, Marija; de Haan, Else; Hogendoorn, Sanne M; Wolters, Lidewij H; Huizenga, Hilde M

2015-03-01

Single-case experimental designs are useful methods in clinical research practice to investigate individual client progress. Their proliferation might have been hampered by methodological challenges such as the difficulty applying existing statistical procedures. In this article, we describe a data-analytic method to analyze univariate (i.e., one symptom) single-case data using the common package SPSS. This method can help the clinical researcher to investigate whether an intervention works as compared with a baseline period or another intervention type, and to determine whether symptom improvement is clinically significant. First, we describe the statistical method in a conceptual way and show how it can be implemented in SPSS. Simulation studies were performed to determine the number of observation points required per intervention phase. Second, to illustrate this method and its implications, we present a case study of an adolescent with anxiety disorders treated with cognitive-behavioral therapy techniques in an outpatient psychotherapy clinic, whose symptoms were regularly assessed before each session. We provide a description of the data analyses and results of this case study. Finally, we discuss the advantages and shortcomings of the proposed method. Copyright © 2014. Published by Elsevier Ltd.

Applying Process Improvement Methods to Clinical and Translational Research: Conceptual Framework and Case Examples

PubMed Central

Selker, Harry P.; Leslie, Laurel K.

2015-01-01

Abstract There is growing appreciation that process improvement holds promise for improving quality and efficiency across the translational research continuum but frameworks for such programs are not often described. The purpose of this paper is to present a framework and case examples of a Research Process Improvement Program implemented at Tufts CTSI. To promote research process improvement, we developed online training seminars, workshops, and in‐person consultation models to describe core process improvement principles and methods, demonstrate the use of improvement tools, and illustrate the application of these methods in case examples. We implemented these methods, as well as relational coordination theory, with junior researchers, pilot funding awardees, our CTRC, and CTSI resource and service providers. The program focuses on capacity building to address common process problems and quality gaps that threaten the efficient, timely and successful completion of clinical and translational studies. PMID:26332869

Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules.

PubMed

Yang, Jing; Wang, Hailin; Geng, Chen; Dai, Yakang; Ji, Jiansong

2018-02-07

Pulmonary nodule is one of the important lesions of lung cancer, mainly divided into two categories of solid nodules and ground glass nodules. The improvement of diagnosis of lung cancer has significant clinical significance, which could be realized by machine learning techniques. At present, there have been a lot of researches focusing on solid nodules. But the research on ground glass nodules started late, and lacked research results. This paper summarizes the research progress of the method of intelligent diagnosis for pulmonary nodules since 2014. It is described in details from four aspects: nodular signs, data analysis methods, prediction models and system evaluation. This paper aims to provide the research material for researchers of the clinical diagnosis and intelligent analysis of lung cancer, and further improve the precision of pulmonary ground glass nodule diagnosis.

[Analysis of master degree thesis of otolaryngology head and neck surgery in Xinjiang].

PubMed

Ayiheng, Qukuerhan; Niliapaer, Alimu; Yalikun, Yasheng

2010-12-01

To understand the basic situation and development of knowledge structure and ability of master degree of Otolaryngology Head and Neck Surgery in Xinjiang region in order to provide reference to further improve the quality of postgraduate students. Fourty-six papers of Otolaryngology master degree thesis were reviewed at randomly in terms of types, subject selection ranges as well as statistical methods during 1998-2009 in Xinjiang region in order to analyze and explore its advantages and characteristics and suggest a solution for its disadvantages. In 46 degree thesis, nine of them are scientific dissertations accounting for 19.57%, 37 are clinical professional degree thesis, accounting for 80.43%. Five are Experimental research papers, 30 are clinical research papers, 10 are clinical and experimental research papers, 1 of them is experimental epidemiology research paper; in this study, the kinds of diseases including every subject of ENT, various statistical methods are involved; references are 37.46 in average, 19.55 of them are foreign literatures references in nearly 5 years are 13.57; four ethnic groups are exist in postgraduate students with high teaching professional level of tutors. The clinical research should be focused in order to further research on ENT common diseases, the application of advanced research methods, the full application of the latest literature, tutors with high-level, training of students of various nationalities, basic research needs to be innovative and should be focus the subject characteristics, to avoid excessive duplication of research.

Research methods to change clinical practice for patients with rare cancers.

PubMed

Billingham, Lucinda; Malottki, Kinga; Steven, Neil

2016-02-01

Rare cancers are a growing group as a result of reclassification of common cancers by molecular markers. There is therefore an increasing need to identify methods to assess interventions that are sufficiently robust to potentially affect clinical practice in this setting. Methods advocated for clinical trials in rare diseases are not necessarily applicable in rare cancers. This Series paper describes research methods that are relevant for rare cancers in relation to the range of incidence levels. Strategies that maximise recruitment, minimise sample size, or maximise the usefulness of the evidence could enable the application of conventional clinical trial design to rare cancer populations. Alternative designs that address specific challenges for rare cancers with the aim of potentially changing clinical practice include Bayesian designs, uncontrolled n-of-1 trials, and umbrella and basket trials. Pragmatic solutions must be sought to enable some level of evidence-based health care for patients with rare cancers. Copyright © 2016 Elsevier Ltd. All rights reserved.

How novice, skilled and advanced clinical researchers include variables in a case report form for clinical research: a qualitative study

PubMed Central

Chu, Hongling; Zeng, Lin; Fetters, Micheal D; Li, Nan; Tao, Liyuan; Shi, Yanyan; Zhang, Hua; Wang, Xiaoxiao; Li, Fengwei; Zhao, Yiming

2017-01-01

Objectives Despite varying degrees in research training, most academic clinicians are expected to conduct clinical research. The objective of this research was to understand how clinical researchers of different skill levels include variables in a case report form for their clinical research. Setting The setting for this research was a major academic institution in Beijing, China. Participants The target population was clinical researchers with three levels of experience, namely, limited clinical research experience, clinicians with rich clinical research experience and clinical research experts. Methods Using a qualitative approach, we conducted 13 individual interviews (face to face) and one group interview (n=4) with clinical researchers from June to September 2016. Based on maximum variation sampling to identify researchers with three levels of research experience: eight clinicians with limited clinical research experience, five clinicians with rich clinical research experience and four clinical research experts. These 17 researchers had diverse hospital-based medical specialties and or specialisation in clinical research. Results Our analysis yields a typology of three processes developing a case report form that varies according to research experience level. Novice clinician researchers often have an incomplete protocol or none at all, and conduct data collection and publication based on a general framework. Experienced clinician researchers include variables in the case report form based on previous experience with attention to including domains or items at risk for omission and by eliminating unnecessary variables. Expert researchers consider comprehensively in advance data collection and implementation needs and plan accordingly. Conclusion These results illustrate increasing levels of sophistication in research planning that increase sophistication in selection for variables in the case report form. These findings suggest that novice and intermediate-level researchers could benefit by emulating the comprehensive planning procedures such as those used by expert clinical researchers. PMID:28928184

Can the caged bird sing? Reflections on the application of qualitative research methods to case study design in homeopathic medicine

PubMed Central

Thompson, Trevor DB

2004-01-01

Background Two main pathways exist for the development of knowledge in clinical homeopathy. These comprise clinical trials conducted primarily by university-based researchers and cases reports and homeopathic "provings" compiled by engaged homeopathic practitioners. In this paper the relative merits of these methods are examined and a middle way proposed. This consists of the "Formal Case Study" (FCS) in which qualitative methods are used to increase the rigour and sophistication with which homeopathic cases are studied. Before going into design issues this paper places the FCS in an historical and academic context and describes the relative merits of the method. Discussion Like any research, the FCS should have a clear focus. This focus can be both "internal", grounded in the discourse of homeopathy and also encompass issues of wider appeal. A selection of possible "internal" and "external" research questions is introduced. Data generation should be from multiple sources to ensure adequate triangulation. This could include the recording and transcription of actual consultations. Analysis is built around existing theory, involves cross-case comparison and the search for deviant cases. The trustworthiness of conclusions is ensured by the application of concepts from qualitative research including triangulation, groundedness, respondent validation and reflexivity. Though homeopathic case studies have been reported in mainstream literature, none has used formal qualitative methods – though some such studies are in progress. Summary This paper introduces the reader to a new strategy for homeopathic research. This strategy, termed the "formal case study", allows for a naturalistic enquiry into the players, processes and outcomes of homeopathic practice. Using ideas from qualitative research, it allows a rigorous approach to types of research question that cannot typically be addressed through clinical trials and numeric outcome studies. The FCS provides an opportunity for the practitioner-researcher to contribute to the evidence-base in homeopathy in a systematic fashion. The FCS can also be used to inform the design of clinical trials through holistic study of the "active ingredients" of the therapeutic process and its clinical outcomes. PMID:15018637

Methods of Academic Course Planning for Cancer Biology PhD Students to Enhance Knowledge of Clinical Oncology.

PubMed

Mattes, Malcolm D; Swart, Elizabeth; Markwell, Steven M; Wen, Sijin; Vona-Davis, Linda C

2017-09-15

Little is known about how clinical oncology concepts are taught to PhD students or the most effective methods of doing so. In this study, electronic surveys were sent to faculty and students at PhD training programs, assessing their institution's methods of clinical oncology education and their perspective on optimal approaches to clinical oncology education. Only 40.0% of students reported any clinical oncology component to their institution's training, and only 26.5% had a clinician on their graduate advisory committee. Forty-three percent of students believed that they had a good understanding for translating basic science research into clinical practice, and 77.2% of all participants believed dual degree MD/PhD students were superior to PhD students in this regard. Lectures on clinical oncology research topics were the most valuable type of experience for all participants and were also the most common type of experience utilized. Working with a clinician to develop a clinical trial with correlative endpoints was also highly valued, but was only utilized by approximately 10% of programs. Faculty rated the value of nearly all types of clinical oncology exposure significantly lower than did students. Inclusion of the approaches identified in this study is likely to enhance PhD training in oncology-related disciplines. Cancer Res; 77(18); 4741-4. ©2017 AACR . ©2017 American Association for Cancer Research.

Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: introduction to the special section.

PubMed

Trull, Timothy J; Ebner-Priemer, Ulrich W

2009-12-01

This article introduces the special section on experience sampling methods and ecological momentary assessment in clinical assessment. We review the conceptual basis for experience sampling methods (ESM; Csikszentmihalyi & Larson, 1987) and ecological momentary assessment (EMA; Stone & Shiffman, 1994). Next, we highlight several advantageous features of ESM/EMA as applied to psychological assessment and clinical research. We provide a brief overview of the articles in this special section, each of which focuses on 1 of the following major classes of psychological disorders: mood disorders and mood dysregulation (Ebner-Priemer & Trull, 2009), anxiety disorders (Alpers, 2009), substance use disorders (Shiffman, 2009), and psychosis (Oorschot, Kwapil, Delespaul, & Myin-Germeys, 2009). Finally, we discuss prospects, future challenges, and limitations of ESM/EMA.

A Methodology for Validating Safety Heuristics Using Clinical Simulations: Identifying and Preventing Possible Technology-Induced Errors Related to Using Health Information Systems

PubMed Central

Borycki, Elizabeth; Kushniruk, Andre; Carvalho, Christopher

2013-01-01

Internationally, health information systems (HIS) safety has emerged as a significant concern for governments. Recently, research has emerged that has documented the ability of HIS to be implicated in the harm and death of patients. Researchers have attempted to develop methods that can be used to prevent or reduce technology-induced errors. Some researchers are developing methods that can be employed prior to systems release. These methods include the development of safety heuristics and clinical simulations. In this paper, we outline our methodology for developing safety heuristics specific to identifying the features or functions of a HIS user interface design that may lead to technology-induced errors. We follow this with a description of a methodological approach to validate these heuristics using clinical simulations. PMID:23606902

How we implemented an analytical support clinic to strengthen student research capacity in Zambia.

PubMed

Andrews, Ben; Musonda, Patrick; Simuyemba, Moses; Wilson, Craig M; Nzala, Selestine; Vermund, Sten H; Michelo, Charles

2014-12-11

Abstract Background: Research outputs in sub-Saharan Africa may be limited by a scarcity of clinical research expertise. In Zambia, clinical and biomedical postgraduate students are often delayed in graduation due to challenges in completing their research dissertations. We sought to strengthen institutional research capacity by supporting student and faculty researchers through weekly epidemiology and biostatistics clinics. Methods: We instituted a weekly Analytical Support Clinic at the University of Zambia, School of Medicine. A combination of biostatisticians, clinical researchers and epidemiologists meet weekly with clients to address questions of proposal development, data management and analysis. Clinic sign-in sheets were reviewed. Results: 109 students and faculty members accounted for 197 visits to the Clinic. Nearly all clients (107/109, 98.2%) were undergraduate or postgraduate students. Reasons for attending the Clinic were primarily for proposal development (46.7%) and data management/analysis (42.1%). The most common specific reasons for seeking help were data analysis and interpretation (36.5%), development of study design and research questions (26.9%) and sample size calculation (21.8%). Conclusions: The Analytical Support Clinic is an important vehicle for strengthening postgraduate research through one-on-one and small group demand-driven interactions. The clinic approach supplements mentorship from departmental supervisors, providing specific expertise and contextual teaching.

[Adequate application of quantitative and qualitative statistic analytic methods in acupuncture clinical trials].

PubMed

Tan, Ming T; Liu, Jian-ping; Lao, Lixing

2012-08-01

Recently, proper use of the statistical methods in traditional Chinese medicine (TCM) randomized controlled trials (RCTs) has received increased attention. Statistical inference based on hypothesis testing is the foundation of clinical trials and evidence-based medicine. In this article, the authors described the methodological differences between literature published in Chinese and Western journals in the design and analysis of acupuncture RCTs and the application of basic statistical principles. In China, qualitative analysis method has been widely used in acupuncture and TCM clinical trials, while the between-group quantitative analysis methods on clinical symptom scores are commonly used in the West. The evidence for and against these analytical differences were discussed based on the data of RCTs assessing acupuncture for pain relief. The authors concluded that although both methods have their unique advantages, quantitative analysis should be used as the primary analysis while qualitative analysis can be a secondary criterion for analysis. The purpose of this paper is to inspire further discussion of such special issues in clinical research design and thus contribute to the increased scientific rigor of TCM research.

Methods and Techniques for Clinical Text Modeling and Analytics

ERIC Educational Resources Information Center

Ling, Yuan

2017-01-01

This study focuses on developing and applying methods/techniques in different aspects of the system for clinical text understanding, at both corpus and document level. We deal with two major research questions: First, we explore the question of "How to model the underlying relationships from clinical notes at corpus level?" Documents…

The Diagnosis and Management of Auditory Processing Disorder

ERIC Educational Resources Information Center

Moore, David R.

2011-01-01

Purpose: To provide a personal perspective on auditory processing disorder (APD), with reference to the recent clinical forum on APD and the needs of clinical speech-language pathologists and audiologists. Method: The Medical Research Council-Institute of Hearing Research (MRC-IHR) has been engaged in research into APD and auditory learning for 8…

A Growing Consensus for Change in Interpretation of Clinical Research Evidence.

PubMed

Wilkerson, Gary B; Denegar, Craig R

2018-03-01

  The paradigm of evidence-based practice (EBP) is well established among the health care professions, but perspectives on the best methods for acquiring, analyzing, appraising, and using research evidence are evolving.   The EBP paradigm has shifted away from a hierarchy of research-evidence quality to recognize that multiple research methods can yield evidence to guide clinicians and patients through a decision-making process. Whereas the "frequentist" approach to data interpretation through hypothesis testing has been the dominant analytical method used by and taught to athletic training students and scholars, this approach is not optimal for integrating evidence into routine clinical practice. Moreover, the dichotomy of rejecting, or failing to reject, a null hypothesis is inconsistent with the Bayesian-like clinical decision-making process that skilled health care providers intuitively use. We propose that data derived from multiple research methods can be best interpreted by reporting a credible lower limit that represents the smallest treatment effect at a specified level of certainty, which should be judged in relation to the smallest effect considered to be clinically meaningful. Such an approach can provide a quantifiable estimate of certainty that an individual patient needs follow-up attention to prevent an adverse outcome or that a meaningful level of therapeutic benefit will be derived from a given intervention.   The practice of athletic training will be influenced by the evolution of the EBP paradigm. Contemporary practice will require clinicians to expand their critical-appraisal skills to effectively integrate the results derived from clinical research into the care of individual patients. Proper interpretation of a credible lower limit value for a magnitude ratio has the potential to increase the likelihood of favorable patient outcomes, thereby advancing the practice of evidence-based athletic training.

Translating research findings to clinical nursing practice.

PubMed

Curtis, Kate; Fry, Margaret; Shaban, Ramon Z; Considine, Julie

2017-03-01

To describe the importance of, and methods for, successfully conducting and translating research into clinical practice. There is universal acknowledgement that the clinical care provided to individuals should be informed on the best available evidence. Knowledge and evidence derived from robust scholarly methods should drive our clinical practice, decisions and change to improve the way we deliver care. Translating research evidence to clinical practice is essential to safe, transparent, effective and efficient healthcare provision and meeting the expectations of patients, families and society. Despite its importance, translating research into clinical practice is challenging. There are more nurses in the frontline of health care than any other healthcare profession. As such, nurse-led research is increasingly recognised as a critical pathway to practical and effective ways of improving patient outcomes. However, there are well-established barriers to the conduct and translation of research evidence into practice. This clinical practice discussion paper interprets the knowledge translation literature for clinicians interested in translating research into practice. This paper is informed by the scientific literature around knowledge translation, implementation science and clinician behaviour change, and presented from the nurse clinician perspective. We provide practical, evidence-informed suggestions to overcome the barriers and facilitate enablers of knowledge translation. Examples of nurse-led research incorporating the principles of knowledge translation in their study design that have resulted in improvements in patient outcomes are presented in conjunction with supporting evidence. Translation should be considered in research design, including the end users and an evaluation of the research implementation. The success of research implementation in health care is dependent on clinician/consumer behaviour change and it is critical that implementation strategy includes this. Translating best research evidence can make for a more transparent and sustainable healthcare service, to which nurses are central. © 2016 The Authors. Journal of Clinical Nursing Published by John Wiley & Sons Ltd.

Unpacking the Clinical and Participatory Dimensions of the Trump Math-Teacher-Residency-Program

ERIC Educational Resources Information Center

Imanuel-Noy, Dalia; Wagner, Tili

2016-01-01

The research presents a Residency Math teacher education program that has been developed in Israel in search of transforming initial teacher preparation on the Clinical-Participatory continuum. It is a "multi-phase" mixed-method research aiming to present the clinical and participatory dimensions of the TMR: the way in which they are…

Clinical Trial Design for HIV Prevention Research: Determining Standards of Prevention.

PubMed

Dawson, Liza; Zwerski, Sheryl

2015-06-01

This article seeks to advance ethical dialogue on choosing standards of prevention in clinical trials testing improved biomedical prevention methods for HIV. The stakes in this area of research are high, given the continued high rates of infection in many countries and the budget limitations that have constrained efforts to expand treatment for all who are currently HIV-infected. New prevention methods are still needed; at the same time, some existing prevention and treatment interventions have been proven effective but are not yet widely available in the countries where they most urgently needed. The ethical tensions in this field of clinical research are well known and have been the subject of extensive debate. There is no single clinical trial design that can optimize all the ethically important goals and commitments involved in research. Several recent articles have described the current ethical difficulties in designing HIV prevention trials, especially in resource limited settings; however, there is no consensus on how to handle clinical trial design decisions, and existing international ethical guidelines offer conflicting advice. This article acknowledges these deep ethical dilemmas and moves beyond a simple descriptive approach to advance an organized method for considering what clinical trial designs will be ethically acceptable for HIV prevention trials, balancing the relevant criteria and providing justification for specific design decisions. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

Importance of mixed methods in pragmatic trials and dissemination and implementation research.

PubMed

Albright, Karen; Gechter, Katherine; Kempe, Allison

2013-01-01

With increased attention to the importance of translating research to clinical practice and policy, recent years have seen a proliferation of particular types of research, including pragmatic trials and dissemination and implementation research. Such research seeks to understand how and why interventions function in real-world settings, as opposed to highly controlled settings involving conditions not likely to be repeated outside the research study. Because understanding the context in which interventions are implemented is imperative for effective pragmatic trials and dissemination and implementation research, the use of mixed methods is critical to understanding trial results and the success or failure of implementation efforts. This article discusses a number of dimensions of mixed methods research, utilizing at least one qualitative method and at least one quantitative method, that may be helpful when designing projects or preparing grant proposals. Although the strengths and emphases of qualitative and quantitative approaches differ substantially, methods may be combined in a variety of ways to achieve a deeper level of understanding than can be achieved by one method alone. However, researchers must understand when and how to integrate the data as well as the appropriate order, priority, and purpose of each method. The ability to demonstrate an understanding of the rationale for and benefits of mixed methods research is increasingly important in today's competitive funding environment, and many funding agencies now expect applicants to include mixed methods in proposals. The increasing demand for mixed methods research necessitates broader methodological training and deepened collaboration between medical, clinical, and social scientists. Although a number of challenges to conducting and disseminating mixed methods research remain, the potential for insight generated by such work is substantial. Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Pervasive healthcare as a scientific discipline.

PubMed

Bardram, J E

2008-01-01

The OECD countries are facing a set of core challenges; an increasing elderly population; increasing number of chronic and lifestyle-related diseases; expanding scope of what medicine can do; and increasing lack of medical professionals. Pervasive healthcare asks how pervasive computing technology can be designed to meet these challenges. The objective of this paper is to discuss 'pervasive healthcare' as a research field and tries to establish how novel and distinct it is, compared to related work within biomedical engineering, medical informatics, and ubiquitous computing. The paper presents the research questions, approach, technologies, and methods of pervasive healthcare and discusses these in comparison to those of other related scientific disciplines. A set of central research themes are presented; monitoring and body sensor networks; pervasive assistive technologies; pervasive computing for hospitals; and preventive and persuasive technologies. Two projects illustrate the kind of research being done in pervasive healthcare. The first project is targeted at home-based monitoring of hypertension; the second project is designing context-aware technologies for hospitals. Both projects approach the healthcare challenges in a new way, apply a new type of research method, and come up with new kinds of technological solutions. 'Clinical proof-of-concept' is recommended as a new method for pervasive healthcare research; the method helps design and test pervasive healthcare technologies, and in ascertaining their clinical potential before large-scale clinical tests are needed. The paper concludes that pervasive healthcare as a research field and agenda is novel; it is addressing new emerging research questions, represents a novel approach, designs new types of technologies, and applies a new kind of research method.

Nurse awareness of clinical research: a survey in a Japanese University Hospital

PubMed Central

2014-01-01

Background Clinical research plays an important role in establishing new treatments and improving the quality of medical practice. Since the introduction of the concept of clinical research coordinators (CRC) in Japan, investigators and CRC work as a clinical research team that coordinates with other professionals in clinical trials leading to drug approval (registration trials). Although clinical nurses collaborate with clinical research teams, extended clinical research teams that include clinical nurses may contribute to the ethical and scientific pursuit of clinical research. Methods As knowledge of clinical research is essential for establishing an extended clinical research team, we used questionnaires to survey the knowledge of clinical nurses at Tokushima University Hospital. Five-point and two-point scales were used. Questions as for various experiences were also included and the relationship between awareness and experiences were analyzed. Results Among the 597 nurses at Tokushima University Hospital, 453 (75.9%) responded to the questionnaires. In Japan, registration trials are regulated by pharmaceutical affairs laws, whereas other types of investigator-initiated research (clinical research) are conducted based on ethical guidelines outlined by the ministries of Japan. Approximately 90% of respondents were aware of registration trials and clinical research, but less than 40% of the nurses were aware of their difference. In clinical research terminology, most respondents were aware of informed consent and related issues, but ≤50% were aware of other things, such as the Declaration of Helsinki, ethical guidelines, Good Clinical Practice, institutional review boards, and ethics committees. We found no specific tendency in the relationship between awareness and past experiences, such as nursing patients who were participating in registration trials and/or clinical research or taking a part in research involving patients as a nursing student or a nurse. Conclusions These findings suggest that clinical nurses have only limited knowledge on clinical research and the importance to have chances to make nurses aware of clinical research-related issues is suggested to establish an extended research team. Because of the study limitations, further study is warranted to determine the role of clinical nurses in establishing a suitable infrastructure for ethical pursuit of clinical research. PMID:24989623

Is linking research, teaching and practice in communication in health care the way forward?

PubMed

van Weel-Baumgarten, Evelyn

2016-09-01

This paper is based on the keynote lecture given at the ICCH conference in New Orleans in October 2015. With as background the observation that even though research and teaching of communication have been receiving attention for some time now, patients still encounter many problems when they visit clinicians because of health problems, it subsequently touches upon research on integration of communication with correct medical content, person centered communication and the role of placebo on outcomes. For teaching it emphasizes methods working best to teach clinical communication skills and lead to behavior changes in professionals: experiential teaching methods but taking care of a balance with cognitive methods. It then discusses the challenge of transfer to clinical practice and what is needed to overcome these challenges: learning from reflecting on undesired outcomes in clinical practice, feedback from clinicians who are open to communication and support learners with effective feedback in that specific context. It adds suggestions about where linking more between research, teaching and clinical practice could help moving communication in health care forward and builds the case for involving policymakers and members of hospital boards to help manage the necessary climate change in clinical settings. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Academia, advocacy, and industry: a collaborative method for clinical research advancement.

PubMed

Vanzo, Rena J; Lortz, Amanda; Calhoun, Amy R U L; Carey, John C

2014-07-01

Professionals who work in academia, advocacy, and industry often carry out mutually exclusive activities related to research and clinical care. However, there are several examples of collaboration among such professionals that ultimately allows for improved scientific and clinical understanding. This commentary recounts our particular experience (a collaboration between geneticists at the Universities of Minnesota and Utah, the 4p- Support Group, and Lineagen, Inc) and reviews other similar projects. We formally propose this collaborative method as a conduit for future clinical research programs. Specifically, we encourage academicians, directors of family/advocacy/support groups, and members of industry to establish partnerships and document their experiences. The medical community as a whole will benefit from such partnerships and, specifically, families will teach us lessons that could never be learned in a laboratory or textbook. © 2014 Wiley Periodicals, Inc.

EDM forum supplement overview.

PubMed

Calonge, Ned

2012-07-01

The Agency for Health Research and Quality funded the Electronic Data Methods Forum (EDM Forum) to share the experiences and learnings from 11 research teams funded through three different grant programs, each of which involve the use of electronic clinical data in Comparative Effectiveness Research and Patient-Centered Outcomes Research. This overview is meant to describe the context in which the EDM forum was created and to introduce the set of papers in this supplement to Medical Care that describe the challenges and approaches to the use of electronic clinical data in the three key areas of analytic methods, clinical informatics and data governance. The participants in the EDM Forum are providing innovative approaches to generate information that can support the building of a "learning health care system." The compilation of papers presented in this supplement should serve as a resource to others working to develop the infrastructure for collecting, validating and using electronic data for research.

Standardized Methods for Enhanced Quality and Comparability of Tuberculous Meningitis Studies.

PubMed

Marais, Ben J; Heemskerk, Anna D; Marais, Suzaan S; van Crevel, Reinout; Rohlwink, Ursula; Caws, Maxine; Meintjes, Graeme; Misra, Usha K; Mai, Nguyen T H; Ruslami, Rovina; Seddon, James A; Solomons, Regan; van Toorn, Ronald; Figaji, Anthony; McIlleron, Helen; Aarnoutse, Robert; Schoeman, Johan F; Wilkinson, Robert J; Thwaites, Guy E

2017-02-15

Tuberculous meningitis (TBM) remains a major cause of death and disability in tuberculosis-endemic areas, especially in young children and immunocompromised adults. Research aimed at improving outcomes is hampered by poor standardization, which limits study comparison and the generalizability of results. We propose standardized methods for the conduct of TBM clinical research that were drafted at an international tuberculous meningitis research meeting organized by the Oxford University Clinical Research Unit in Vietnam. We propose a core dataset including demographic and clinical information to be collected at study enrollment, important aspects related to patient management and monitoring, and standardized reporting of patient outcomes. The criteria proposed for the conduct of observational and intervention TBM studies should improve the quality of future research outputs, can facilitate multicenter studies and meta-analyses of pooled data, and could provide the foundation for a global TBM data repository.

Opinions of sports clinical practice chiropractors, with sports specialty training and those without, about chiropractic research priorities in sports health care: a centering resonance analysis

PubMed Central

Lee, Alexander D; Szabo, Kaitlyn; McDowell, Kirstie; Granger, Sydney

2016-01-01

Introduction: A Canadian sports chiropractic research agenda has yet to be defined. The Delphi method can be utilized to achieve this purpose; however, the sample of experts who participate can influence the results. To better inform sample selection for future research agenda development, we set out to determine if differences in opinions about research priorities exist between chiropractors who have their sports specialty designation and those who do not. Methods: Fifteen sports clinical practice chiropractors who have their sports fellowship designation and fifteen without, were interviewed with a set of standardized questions about sports chiropractic research priorities. A centering resonance analysis and cluster analysis were conducted on the interview responses. Results: The two practitioner groups differed in their opinions about the type of research that they would like to see conducted, the research that would impact their clinical practice the most, and where they believed research was lacking. However, both groups were similar in their opinions about research collaborations. Conclusion: Sports clinical practice chiropractors, with their sports specialty designation and those without, differed in their opinions about sports chiropractic research priorities; however, they had similar opinions about research collaborations. These results suggest that it may be important to sample from both practitioner groups in future studies aimed at developing research agendas for chiropractic research in sport. PMID:28065995

My Librarian: Personalized Research Clinics and the Academic Library.

ERIC Educational Resources Information Center

Cardwell, Catherine; Furlong, Katherine; O'Keeffe, Julie

2002-01-01

Describes personalized research clinics (PRC) programs at three diverse institutions: Gettysburg College (Pennsylvania), Marquette University (Wisconsin), and Bowling Green State University (Ohio). Addresses logistics, publicity methods, program analysis, and assessment issues, and weighs the benefits of the labor-intensive service against other…

The scope for qualitative methods in research and clinical trials in dementia.

PubMed

Gibson, Grant; Timlin, Alison; Curran, Stephen; Wattis, John

2004-07-01

In the evaluation of drugs, the randomised double-blind placebo controlled trial is the 'gold standard'. This method, based on a positivist paradigm, answers questions about efficacy and side-effects of treatments that are accepted as valid, reliable and generalisable, provided the study is well designed and properly conducted. In contrast, qualitative research methodologies, originating from the social sciences, embrace a variety of approaches, including phenomenological and other paradigms. Within clinical and health services research, qualitative approaches view the world more subjectively, acknowledging that the researcher is part of what is researched, focusing on meanings and understanding of experience, rather than on what can be reduced to quantitative measures. They can develop new ideas through induction from data, rather than confirming or refuting hypotheses. Qualitative methods have improved our understanding of the experiences of people with dementia and, if used alongside clinical trials, could be used to improve the relevance of outcomes to patients, compliance and user involvement. They could also possibly generate new measures of efficacy and effectiveness in severe dementia.

The CTSA Consortium's Catalog of Assets for Translational and Clinical Health Research (CATCHR)

PubMed Central

Mapes, Brandy; Basford, Melissa; Zufelt, Anneliese; Wehbe, Firas; Harris, Paul; Alcorn, Michael; Allen, David; Arnim, Margaret; Autry, Susan; Briggs, Michael S.; Carnegie, Andrea; Chavis‐Keeling, Deborah; De La Pena, Carlos; Dworschak, Doris; Earnest, Julie; Grieb, Terri; Guess, Marilyn; Hafer, Nathaniel; Johnson, Tesheia; Kasper, Amanda; Kopp, Janice; Lockie, Timothy; Lombardo, Vincetta; McHale, Leslie; Minogue, Andrea; Nunnally, Beth; O'Quinn, Deanna; Peck, Kelly; Pemberton, Kieran; Perry, Cheryl; Petrie, Ginny; Pontello, Andria; Posner, Rachel; Rehman, Bushra; Roth, Deborah; Sacksteder, Paulette; Scahill, Samantha; Schieri, Lorri; Simpson, Rosemary; Skinner, Anne; Toussant, Kim; Turner, Alicia; Van der Put, Elaine; Wasser, June; Webb, Chris D.; Williams, Maija; Wiseman, Lori; Yasko, Laurel; Pulley, Jill

2014-01-01

Abstract The 61 CTSA Consortium sites are home to valuable programs and infrastructure supporting translational science and all are charged with ensuring that such investments translate quickly to improved clinical care. Catalog of Assets for Translational and Clinical Health Research (CATCHR) is the Consortium's effort to collect and make available information on programs and resources to maximize efficiency and facilitate collaborations. By capturing information on a broad range of assets supporting the entire clinical and translational research spectrum, CATCHR aims to provide the necessary infrastructure and processes to establish and maintain an open‐access, searchable database of consortium resources to support multisite clinical and translational research studies. Data are collected using rigorous, defined methods, with the resulting information made visible through an integrated, searchable Web‐based tool. Additional easy‐to‐use Web tools assist resource owners in validating and updating resource information over time. In this paper, we discuss the design and scope of the project, data collection methods, current results, and future plans for development and sustainability. With increasing pressure on research programs to avoid redundancy, CATCHR aims to make available information on programs and core facilities to maximize efficient use of resources. PMID:24456567

Translating Basic Behavioral and Social Science Research to Clinical Application: The EVOLVE Mixed Methods Approach

ERIC Educational Resources Information Center

Peterson, Janey C.; Czajkowski, Susan; Charlson, Mary E.; Link, Alissa R.; Wells, Martin T.; Isen, Alice M.; Mancuso, Carol A.; Allegrante, John P.; Boutin-Foster, Carla; Ogedegbe, Gbenga; Jobe, Jared B.

2013-01-01

Objective: To describe a mixed-methods approach to develop and test a basic behavioral science-informed intervention to motivate behavior change in 3 high-risk clinical populations. Our theoretically derived intervention comprised a combination of positive affect and self-affirmation (PA/SA), which we applied to 3 clinical chronic disease…

Outcome methods used in clinical studies of Chiari malformation Type I: a systematic review.

PubMed

Greenberg, Jacob K; Milner, Eric; Yarbrough, Chester K; Lipsey, Kim; Piccirillo, Jay F; Smyth, Matthew D; Park, Tae Sung; Limbrick, David D

2015-02-01

Chiari malformation Type I (CM-I) is a common and often debilitating neurological disease. Efforts to improve treatment of CM-I are impeded by inconsistent and limited methods of evaluating clinical outcomes. To understand current approaches and lay a foundation for future research, the authors conducted a systematic review of the methods used in original published research articles to evaluate clinical outcomes in patients treated for CM-I. The authors searched PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature, ClinicalTrials.gov , and Cochrane databases to identify publications between January 2003 and August 2013 that met the following criteria: 1) reported clinical outcomes in patients treated for CM-I; 2) were original research articles; 3) included at least 10 patients or, if a comparative study, at least 5 patients per group; and 4) were restricted to patients with CM-I. Among the 74 papers meeting inclusion criteria, there was wide variation in the outcome methods used. However, all approaches were broadly grouped into 3 categories: 1) "gestalt" impression of overall symptomatic improvement (n=45 papers); 2) postoperative change in specific signs or symptoms (n=20); or 3) results of various standardized assessment scales (n=22). Among standardized scales, 11 general function measures were used, compared with 6 disease-specific tools. Only 3 papers used scales validated in patients with CM-I. To facilitate a uniform comparison of these heterogeneous approaches, the authors appraised articles in multiple domains defined a priori as integral to reporting clinical outcomes in CM-I. Notably, only 7 articles incorporated patient-response instruments when reporting outcome, and only 22 articles explicitly assessed quality of life. The methods used to evaluate clinical outcomes in CM-I are inconsistent and frequently not comparable, complicating efforts to analyze results across studies. Development, validation, and incorporation of a small number of disease-specific patient-based instruments will improve the quality of research and care of CM-I patients.

"Clinical" Significance: "Clinical" Significance and "Practical" Significance are NOT the Same Things

ERIC Educational Resources Information Center

Peterson, Lisa S.

2008-01-01

Clinical significance is an important concept in research, particularly in education and the social sciences. The present article first compares clinical significance to other measures of "significance" in statistics. The major methods used to determine clinical significance are explained and the strengths and weaknesses of clinical significance…

Current thinking in medical education research: an overview.

PubMed

Elledge, R

2018-04-28

Medical education is fast becoming a separate focus, and together with their clinical commitments, many clinicians now seek higher qualifications and professional accreditation in the field. Research is also developing, and there is a need for evidence-based practice in education, just as in clinical work. This review gives an overview of research into medical education, and explains the fundamentals of educational theory and the specific considerations for the quantitative and qualitative research methods that pertain to it. It also explains the application of these methods to two growing areas of research: technology-enhanced learning (TEL) and normative ethics in training. Copyright © 2018 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

Magnetic resonance imaging with hyperpolarized agents: methods and applications

NASA Astrophysics Data System (ADS)

Adamson, Erin B.; Ludwig, Kai D.; Mummy, David G.; Fain, Sean B.

2017-07-01

In the past decade, hyperpolarized (HP) contrast agents have been under active development for MRI applications to address the twin challenges of functional and quantitative imaging. Both HP helium (3He) and xenon (129Xe) gases have reached the stage where they are under study in clinical research. HP 129Xe, in particular, is poised for larger scale clinical research to investigate asthma, chronic obstructive pulmonary disease, and fibrotic lung diseases. With advances in polarizer technology and unique capabilities for imaging of 129Xe gas exchange into lung tissue and blood, HP 129Xe MRI is attracting new attention. In parallel, HP 13C and 15N MRI methods have steadily advanced in a wide range of pre-clinical research applications for imaging metabolism in various cancers and cardiac disease. The HP [1-13C] pyruvate MRI technique, in particular, has undergone phase I trials in prostate cancer and is poised for investigational new drug trials at multiple institutions in cancer and cardiac applications. This review treats the methodology behind both HP gases and HP 13C and 15N liquid state agents. Gas and liquid phase HP agents share similar technologies for achieving non-equilibrium polarization outside the field of the MRI scanner, strategies for image data acquisition, and translational challenges in moving from pre-clinical to clinical research. To cover the wide array of methods and applications, this review is organized by numerical section into (1) a brief introduction, (2) the physical and biological properties of the most common polarized agents with a brief summary of applications and methods of polarization, (3) methods for image acquisition and reconstruction specific to improving data acquisition efficiency for HP MRI, (4) the main physical properties that enable unique measures of physiology or metabolic pathways, followed by a more detailed review of the literature describing the use of HP agents to study: (5) metabolic pathways in cancer and cardiac disease and (6) lung function in both pre-clinical and clinical research studies, concluding with (7) some future directions and challenges, and (8) an overall summary.

Developing an understanding of research-based nursing pedagogy among clinical instructors: a qualitative study.

PubMed

Zakari, Nazik M A; Hamadi, Hanadi Y; Salem, Olfat

2014-11-01

Effective instruction is imperative to the learning process of clinical nursing instructors. Faculty members are required to provide high-quality teaching and training by using new ways of teaching pedagogical methods to clinical instructors, which have transformed pedagogies from an exclusive clinical model to a holistic model. The purpose of this study was to explore clinical instructors' use of planning, implementation, feedback loops, and reflection frameworks to apply research-based teaching and to examine the pedagogy used during field experience. Data for the qualitative study were obtained from twenty purposefully sampled clinical teachers (n=20) via lists of questioned instructional practices and discussions, semi-structured interviews, observational notes, field notes, and written reflections. Data were analyzed by using a triangulation method to ensure trustworthiness, credibility, and reliability. Three main themes emerged regarding the use of research-based teaching strategies: the need for learning about research-based pedagogy, support mechanisms to implement innovative teaching strategies, and transitioning from nursing student to nursing clinical instructors. It has been well documented that the nursing profession faces a serious shortage of nursing faculty, impacting the quality of clinical teaching. Developing clinical instructor programs to give students opportunities to select instructor pathways, focusing on knowledge promoting critical thinking and life-long professional development, is essential. Nursing colleges must collaborate by using a partnership model to achieve competency in planning, implementation, feedback loops, and reflection. Applying research-based clinical teaching requires the development of programs that integrate low-fidelity simulation and assisted instruction through the use of computers in Nursing Colleges. Copyright © 2014 Elsevier Ltd. All rights reserved.

A laboratory medicine residency training program that includes clinical consultation and research.

PubMed

Spitzer, E D; Pierce, G F; McDonald, J M

1990-04-01

We describe a laboratory medicine residency training program that includes ongoing interaction with both clinical laboratories and clinical services as well as significant research experience. Laboratory medicine residents serve as on-call consultants in the interpretation of test results, design of testing strategies, and assurance of test quality. The consultative on-call beeper system was evaluated and is presented as an effective method of clinical pathology training that is well accepted by the clinical staff. The research component of the residency program is also described. Together, these components provide training in real-time clinical problem solving and prepare residents for the changing technological environment of the clinical laboratory. At the completion of the residency, the majority of the residents are qualified laboratory subspecialists and are also capable of running an independent research program.

Application of virtual reality methods to obesity prevention and management research.

PubMed

Persky, Susan

2011-03-01

There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention. © 2011 Diabetes Technology Society.

Application of Virtual Reality Methods to Obesity Prevention and Management Research

PubMed Central

Persky, Susan

2011-01-01

There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention. PMID:21527102

Primary outcome indices in illicit drug dependence treatment research: systematic approach to selection and measurement of drug use end-points in clinical trials

PubMed Central

Donovan, Dennis M.; Bigelow, George E.; Brigham, Gregory S.; Carroll, Kathleen M.; Cohen, Allan J.; Gardin, John G.; Hamilton, John A.; Huestis, Marilyn A.; Hughes, John R.; Lindblad, Robert; Marlatt, G. Alan; Preston, Kenzie L.; Selzer, Jeffrey A.; Somoza, Eugene C.; Wakim, Paul G.; Wells, Elizabeth A.

2012-01-01

Aims Clinical trials test the safety and efficacy of behavioral and pharmacological interventions in drug-dependent individuals. However, there is no consensus about the most appropriate outcome(s) to consider in determining treatment efficacy or on the most appropriate methods for assessing selected outcome(s). We summarize the discussion and recommendations of treatment and research experts, convened by the US National Institute on Drug Abuse, to select appropriate primary outcomes for drug dependence treatment clinical trials, and in particular the feasibility of selecting a common outcome to be included in all or most trials. Methods A brief history of outcomes employed in prior drug dependence treatment research, incorporating perspectives from tobacco and alcohol research, is included. The relative merits and limitations of focusing on drug-taking behavior, as measured by self-report and qualitative or quantitative biological markers, are evaluated. Results Drug-taking behavior, measured ideally by a combination of self-report and biological indicators, is seen as the most appropriate proximal primary outcome in drug dependence treatment clinical trials. Conclusions We conclude that the most appropriate outcome will vary as a function of salient variables inherent in the clinical trial, such as the type of intervention, its target, treatment goals (e.g. abstinence or reduction of use) and the perspective being taken (e.g. researcher, clinical program, patient, society). It is recommended that a decision process, based on such trial variables, be developed to guide the selection of primary and secondary outcomes as well as the methods to assess them. PMID:21781202

The trials methodological research agenda: results from a priority setting exercise.

PubMed

Tudur Smith, Catrin; Hickey, Helen; Clarke, Mike; Blazeby, Jane; Williamson, Paula

2014-01-23

Research into the methods used in the design, conduct, analysis, and reporting of clinical trials is essential to ensure that effective methods are available and that clinical decisions made using results from trials are based on the best available evidence, which is reliable and robust. An on-line Delphi survey of 48 UK Clinical Research Collaboration registered Clinical Trials Units (CTUs) was undertaken. During round one, CTU Directors were asked to identify important topics that require methodological research. During round two, their opinion about the level of importance of each topic was recorded, and during round three, they were asked to review the group's average opinion and revise their previous opinion if appropriate. Direct reminders were sent to maximise the number of responses at each round. Results are summarised using descriptive methods. Forty one (85%) CTU Directors responded to at least one round of the Delphi process: 25 (52%) responded in round one, 32 (67%) responded in round two, 24 (50%) responded in round three. There were only 12 (25%) who responded to all three rounds and 18 (38%) who responded to both rounds two and three. Consensus was achieved amongst CTU Directors that the top three priorities for trials methodological research were 'Research into methods to boost recruitment in trials' (considered the highest priority), 'Methods to minimise attrition' and 'Choosing appropriate outcomes to measure'. Fifty other topics were included in the list of priorities and consensus was reached that two topics, 'Radiotherapy study designs' and 'Low carbon trials', were not priorities. This priority setting exercise has identified the research topics felt to be most important to the key stakeholder group of Directors of UKCRC registered CTUs. The use of robust methodology to identify these priorities will help ensure that this work informs the trials methodological research agenda, with a focus on topics that will have most impact and relevance.

Integration of clinical research documentation in electronic health records.

PubMed

Broach, Debra

2015-04-01

Clinical trials of investigational drugs and devices are often conducted within healthcare facilities concurrently with clinical care. With implementation of electronic health records, new communication methods are required to notify nonresearch clinicians of research participation. This article reviews clinical research source documentation, the electronic health record and the medical record, areas in which the research record and electronic health record overlap, and implications for the research nurse coordinator in documentation of the care of the patient/subject. Incorporation of clinical research documentation in the electronic health record will lead to a more complete patient/subject medical record in compliance with both research and medical records regulations. A literature search provided little information about the inclusion of clinical research documentation within the electronic health record. Although regulations and guidelines define both source documentation and the medical record, integration of research documentation in the electronic health record is not clearly defined. At minimum, the signed informed consent(s), investigational drug or device usage, and research team contact information should be documented within the electronic health record. Institutional policies should define a standardized process for this integration in the absence federal guidance. Nurses coordinating clinical trials are in an ideal position to define this integration.

Highlights of the 2012 Research Workshop: Using nutrigenomics and metabolomics in clinical nutrition research.

PubMed

Zeisel, Steven H; Waterland, Robert A; Ordovás, José M; Muoio, Deborah M; Jia, Wei; Fodor, Anthony

2013-03-01

The American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) Research Workshop, "Using Nutrigenomics and Metabolomics in Clinical Nutrition Research," was held on January 21, 2012, in Orlando, Florida. The conference brought together experts in human nutrition who use nutrigenomic and metabolomic methods to better understand metabolic individuality and nutrition effects on health. We are beginning to understand how genetic variation and epigenetic events alter requirements for and responses to foods in our diet (the field of nutrigenetics/nutrigenomics and epigenetics). At the same time, methods for profiling almost all of the products of metabolism in plasma, urine, and tissues (metabolomics) are being refined. The relationships between diet and nutrigenomic-metabolomic profiles, as well as between these profiles and health, are being elucidated, and this will dramatically alter clinical practice in nutrition.

Clinical and translational research in global health and emergency care: a research agenda.

PubMed

Runyon, Michael S; Sawe, Hendry R; Levine, Adam C; Pousson, Amelia; House, Darlene R; Agrawal, Pooja; Osei-Ampofo, Maxwell; Weiner, Scott G; Douglass, Katherine

2013-12-01

As policy-makers increasingly recognize emergency care to be a global health priority, the need for high-quality clinical and translational research in this area continues to grow. As part of the proceedings of the 2013 Academic Emergency Medicine consensus conference, this article discusses the importance of: 1) including clinical and translational research in the initial emergency care development plan, 2) defining the burden of acute disease and the barriers to conducting research in resource-limited settings, 3) assessing the appropriateness and effectiveness of local and global acute care guidelines within the local context, 4) studying the local research infrastructure needs to understand the best methods to build a sustainable research infrastructure, and 5) studying the long-term effects of clinical research programs on health care systems. © 2013 by the Society for Academic Emergency Medicine.

OARSI Clinical Trials Recommendations: Design and conduct of clinical trials of lifestyle diet and exercise interventions for osteoarthritis.

PubMed

Messier, S P; Callahan, L F; Golightly, Y M; Keefe, F J

2015-05-01

The objective was to develop a set of "best practices" for use as a primer for those interested in entering the clinical trials field for lifestyle diet and/or exercise interventions in osteoarthritis (OA), and as a set of recommendations for experienced clinical trials investigators. A subcommittee of the non-pharmacologic therapies committee of the OARSI Clinical Trials Working Group was selected by the Steering Committee to develop a set of recommended principles for non-pharmacologic diet/exercise OA randomized clinical trials. Topics were identified for inclusion by co-authors and reviewed by the subcommittee. Resources included authors' expert opinions, traditional search methods including MEDLINE (via PubMed), and previously published guidelines. Suggested steps and considerations for study methods (e.g., recruitment and enrollment of participants, study design, intervention and assessment methods) were recommended. The recommendations set forth in this paper provide a guide from which a research group can design a lifestyle diet/exercise randomized clinical trial in patients with OA. Copyright © 2015 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

The analysis of verbal interaction sequences in dyadic clinical communication: a review of methods.

PubMed

Connor, Martin; Fletcher, Ian; Salmon, Peter

2009-05-01

To identify methods available for sequential analysis of dyadic verbal clinical communication and to review their methodological and conceptual differences. Critical review, based on literature describing sequential analyses of clinical and other relevant social interaction. Dominant approaches are based on analysis of communication according to its precise position in the series of utterances that constitute event-coded dialogue. For practical reasons, methods focus on very short-term processes, typically the influence of one party's speech on what the other says next. Studies of longer-term influences are rare. Some analyses have statistical limitations, particularly in disregarding heterogeneity between consultations, patients or practitioners. Additional techniques, including ones that can use information about timing and duration of speech from interval-coding are becoming available. There is a danger that constraints of commonly used methods shape research questions and divert researchers from potentially important communication processes including ones that operate over a longer-term than one or two speech turns. Given that no one method can model the complexity of clinical communication, multiple methods, both quantitative and qualitative, are necessary. Broadening the range of methods will allow the current emphasis on exploratory studies to be balanced by tests of hypotheses about clinically important communication processes.

Methodology of clinical research in rare diseases: development of a research program in juvenile neuronal ceroid lipofuscinosis (JNCL) via creation of a patient registry and collaboration with patient advocates

PubMed Central

de Blieck, Elisabeth A.; Augustine, Erika F.; Marshall, Frederick J.; Adams, Heather; Cialone, Jennifer; Dure, Leon; Kwon, Jennifer M.; Newhouse, Nicole; Rose, Katherine; Rothberg, Paul G.; Vierhile, Amy; Mink, Jonathan W.

2013-01-01

Introduction Juvenile neuronal ceroid lipofuscinosis (JNCL; Batten disease) is a rare, inherited, fatal lysosomal storage childhood disorder. True for many rare diseases, there are no treatments that impact the course of JNCL. The University of Rochester Batten Center’s (URBC) mission is to find treatments to slow, halt, or prevent JNCL. Objectives Our initial objective was to develop clinical research infrastructure preparatory to clinical trials, establish a JNCL research cohort, construct a disease-specific clinical outcome measure, and validate a non-invasive diagnostic sampling method. The long-term objective is to design and implement JNCL clinical trials. Methods The Unified Batten Disease Rating Scale (UBDRS) was developed. The Batten Disease Support and Research Association (BDSRA) referred participants; annual BDSRA meetings provided a mobile research setting for registry enrollment and UBDRS piloting. Neuropsychological examinations were performed, enabling external validation of the UBDRS. Buccal epithelial cell collection for genotyping was introduced. Telemedicine for remote UBDRS assessment was piloted. Results The registry enrolled 198 families representing 237 children with NCL. The UBDRS was piloted, validated and has been used to collect natural history data from 120 subjects. Funding and regulatory approval were obtained for a recently launched phase II clinical trial. Several additional lines of inquiry were reported. Conclusion The registry and BDSRA collaboration have enabled development of a clinical rating scale, natural history and neuropsychological studies, and genetic studies for disease confirmation. This work highlights an approach for preparatory natural history research and infrastructure development needed to facilitate efficient implementation of clinical trials in rare diseases. PMID:23628560

[Analysis on research projects for acupuncture and moxibustion supported by NSFC during the 11th 5-year-plan].

PubMed

Zhao, Chang-Long; Jing, Xiang-Hong; Li, Yu-Qing; Li, Liang; Rong, Pei-Jing; Wang, Chang-En

2012-08-01

In the present paper, the authors introduce the approved and finished research projects for acupuncture and moxibustion therapies supported by the National Natural Science Foundation of China (NSFC) during the 11th 5-year-plan. A total of 194 research projects were subsidized by NSFC from 2006 to 2010. These projects include 6 aspects: meridian-collaterals, acupoint theory, acupuncture analgesia, mechanisms underlying improvement of different clinical problems, clinical trials, and moxibustion therapy. The research on acupoints has been becoming a new hotspot in recent years. Majority of the research projects focus on the mechanism of acu-moxibustion underlying improvement of different clinical problems, while fewer projects on clinical trials. During the 11th 5-year-plan, 119 projects were completed; most of them involved meridian-collateral theory, acupoint theory, mechanism of acu-moxibustion underlying improvement of clinical problems and acupuncture manipulations. Following analysis of the finished research projects, we find that 1) many neurobiological methods and techniques are commonly used in the research on meridian-collateral theory; 2) the research on acupoint theory is changing from observing the local morphological structure to identifying characteristics of the regional activated receptors, particularly under the circumstances of visceral pathological conditions and efficacies of acupoints; 3) researches on the underlying mechanism of acu-moxibusiton for improving clinical disorders mainly focused on its cerebral protective effects against cerebral ischemia, in addition, researches about other diseases on clinical conditions have been also carried out, but the related mechanisms are far from understanding; 4) In many research projects, various new methods and techniques, such as fMRI, position emission tomography, genomics, proteomics, molecular biology, nerve stem cell, etc. were widely used; 5) Randomized controlled multi-center clinical trials are definitely insufficient. Only two clinical projects were finished during the 11th 5-year-plan. Moreover, it should be noted that in the subject of acu-moxibustion, independent innovation researches are fewer; the foundation of competitive ability is relatively weaker; the supporting conditions for finishing the research projects are poorer in some institutes or districts; and the interrelations among the theoretical, experimental and clinical researches are not intimately close, leading to relative lag in the subject development.

Building and strengthening capacity for cardiovascular research in Africa through technical training workshops: a report of the joint course on health research methods by the Clinical Research Education Networking and Consultancy and the Ivorian Society of Cardiology.

PubMed

Dzekem, Bonaventure Suiru; Kacou, Jean Baptiste; Abanda, Martin; Kramoh, Euloge; Yapobi, Yves; Kingue, Samuel; Kengne, Andre Pascal; Dzudie, Anastase

Africa bears a quarter of the global burden of disease but contributes less than 2% of the global research publications on health, partially due to a lack of expertise and skills to carry out scientific research. We report on a short course on research methods organised by the Clinical Research Education Networking and Consultancy (CRENC) during the third international congress of the Ivorian Cardiac Society (SICARD) in Abidjan, Cote d'Ivoire. Results from the pre- and post-test evaluation during this course showed that African researchers could contribute more to scientific research and publications, provided adequate support and investment is geared towards the identification and training of motivated early-career scientists.

Building and strengthening capacity for cardiovascular research in Africa through technical training workshops: a report of the joint course on health research methods by the Clinical Research Education Networking and Consultancy and the Ivorian Society of Cardiology

PubMed Central

Dzekem, Bonaventure Suiru; Abanda, Martin; Dzudie, Anastase; Kacou, Jean Baptiste Anzouan; Kramoh, Euloge; Yapobi, Yves; Kingue, Samuel; Dzudie, Anastase; Kengne, Andre Pascal

2017-01-01

Summary Africa bears a quarter of the global burden of disease but contributes less than 2% of the global research publications on health, partially due to a lack of expertise and skills to carry out scientific research. We report on a short course on research methods organised by the Clinical Research Education Networking and Consultancy (CRENC) during the third international congress of the Ivorian Cardiac Society (SICARD) in Abidjan, Cote d’Ivoire. Results from the pre- and post-test evaluation during this course showed that African researchers could contribute more to scientific research and publications, provided adequate support and investment is geared towards the identification and training of motivated early-career scientists. PMID:29144534

From differences in means between cases and controls to risk stratification: a business plan for biomarker development.

PubMed

Wentzensen, Nicolas; Wacholder, Sholom

2013-02-01

Researchers developing biomarkers for early detection can determine the potential for clinical benefit at early stages of development. We provide the theoretical background showing the quantitative connection between biomarker levels in cases and controls and clinically meaningful risk measures, as well as a spreadsheet for researchers to use in their own research. We provide researchers with tools to decide whether a test is useful, whether it needs technical improvement, whether it may work only in specific populations, or whether any further development is futile. The methods described here apply to any method that aims to estimate risk of disease based on biomarkers, clinical tests, genetics, environment, or behavior. Many efforts go into futile biomarker development and premature clinical testing. In many instances, predictions for translational success or failure can be made early, simply based on critical analysis of case–control data. Our article presents well-established theory in a form that can be appreciated by biomarker researchers. Furthermore, we provide an interactive spreadsheet that links biomarker performance with specific disease characteristics to evaluate the promise of biomarker candidates at an early stage.

Economic Analysis of Nutrition Interventions for Chronic Disease Prevention: Methods, Research, and Policy

PubMed Central

Wong, John B.; Coates, Paul M.; Russell, Robert M.; Dwyer, Johanna T.; Schuttinga, James A.; Bowman, Barbara A.; Peterson, Sarah A.

2011-01-01

Increased interest in the potential societal benefit of incorporating health economics as a part of clinical translational science, particularly nutrition interventions, led the Office of Dietary Supplements at the National Institutes of Health to sponsor a conference to address key questions about economic analysis of nutrition interventions to enhance communication among health economic methodologists, researchers, reimbursement policy makers, and regulators. Issues discussed included the state of the science, such as what health economic methods are currently used to judge the burden of illness, interventions, or health care policies, and what new research methodologies are available or needed to address knowledge and methodological gaps or barriers. Research applications included existing evidence-based health economic research activities in nutrition that are ongoing or planned at federal agencies. International and U.S. regulatory, policy and clinical practice perspectives included a discussion of how research results can help regulators and policy makers within government make nutrition policy decisions, and how economics affects clinical guideline development. PMID:21884133

Clinically significant and practical! Enhancing precision does make a difference. Reply to McGlinchey and Jacobson, Hsu, and Speer.

PubMed

Hageman, W J; Arrindell, W A

1999-12-01

Based on a secondary analysis of the Jacobson and Truax [Jacobson, N.S. & Truax, P. (1991). a statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59, 12-19.] data using both their own traditional approach and the refined method advanced by Hageman and Arrindell [Hageman, W.J.J.M., & Arrindell, W.A. (1999). Establishing clinically significant change: increment of precision and the distinction between individual and group level of analysis. Behaviour Research and Therapy, 37, 1169-1193], McGlinchey and Jacobson [McGlinchey, J. B., & Jacobson, N. S. (1999). Clinically significant but impractical? A response to Hageman and Arrindell. Behaviour Research and Therapy, 37, 1211-1217.] reported practically identical findings on reliable and clinically significant change across the two approaches. This led McGlinchey and Jacobson to conclude that there is little practical gain in utilizing the refined method over the traditional approach. Close inspection of the data used by McGlinchey and Jacobson however revealed a serious mistake with respect to the value of the standard error of measurement that was employed in their calculations. When the proper index value was utilised, further re-analysis by the present authors disclosed clear differences (i.e. different classifications of S's) across the two approaches. Importantly, these differences followed exactly the same pattern as depicted in Table 2 in Hageman and Arrindell (1999). The theoretical advantages of the refined method, i.e. enhanced precision, appropriate distinction between analysis at the individual and group levels, and maximal comparability of findings across studies, exceed those of the traditional method. Application of the refined method may be carried out within approximately half an hour, which not only supports its practical manageability, but also challenges the suggestion of McGlinchey and Jacobson (1999) that the relevant method would be too complex (impractical) for the average scientist. The reader is offered the opportunity of obtaining an SPSS setup in the form of an ASCII text file by means of which the relevant calculations can be carried out. The ways in which the valuable commentaries by Hsu [Hsu, L. M. (1999). A comparison of three methods of identifying reliable and clinically significant client changes: commentary on Hageman and Arrindell. Behaviour Research and Therapy, 37, 1195-1202.] and Speer [Speer, D. C. (1999). What is the role of two-wave designs in clinical research? Comment on Hageman and Arrindell. Behaviour Research and Therapy, 37, 1203-1210.) contribute to a better understanding of the technical/statistical backgrounds of the traditional and refined methods were also discussed.

Pre-clinical research in small animals using radiotherapy technology--a bidirectional translational approach.

PubMed

Tillner, Falk; Thute, Prasad; Bütof, Rebecca; Krause, Mechthild; Enghardt, Wolfgang

2014-12-01

For translational cancer research, pre-clinical in-vivo studies using small animals have become indispensable in bridging the gap between in-vitro cell experiments and clinical implementation. When setting up such small animal experiments, various biological, technical and methodical aspects have to be considered. In this work we present a comprehensive topical review based on relevant publications on irradiation techniques used for pre-clinical cancer research in mice and rats. Clinical radiotherapy treatment devices for the application of external beam radiotherapy and brachytherapy as well as dedicated research irradiation devices are feasible for small animal irradiation depending on the animal model and the experimental goals. In this work, appropriate solutions for the technological transfer of human radiation oncology to small animal radiation research are summarised. Additionally, important information concerning the experimental design is provided such that reliable and clinically relevant results can be attained. Copyright © 2014. Published by Elsevier GmbH.

Longitudinal construct validity: establishment of clinical meaning in patient evaluative instruments.

PubMed

Liang, M H

2000-09-01

Although widely used and reported in research for the evaluation of groups, measures of health status and health-related quality of life have had little application in clinical practice for the assessment of individual patients. One of the principal barriers is the demonstration that these measures add clinically significant information to measures of function or symptoms alone. Here, we review the methods for evaluation of construct validity in longitudinal studies and make recommendations for nomenclature, reporting of study results, and future research agenda. Analytical review. The terms "sensitivity" and "responsiveness" have been used interchangeably, and there are few studies that evaluate the extent to which health status or health-related quality-of life measures capture clinically important changes ("responsiveness"). Current methods of evaluating responsiveness are not standardized or evaluated. Approaches for the assessment of a clinically significant or meaningful change are described; rather than normative information, however, standardized transition questions are proposed. They would be reported routinely and as separate axes of description to capture individual perceptions. Research in methods to assess the subject's evaluation of the importance and magnitude of a measured change are critical if health status and health-related quality-of-life measures are to have an impact on patient care.

Knowledge mining from clinical datasets using rough sets and backpropagation neural network.

PubMed

Nahato, Kindie Biredagn; Harichandran, Khanna Nehemiah; Arputharaj, Kannan

2015-01-01

The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN) is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI) machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets.

Trial Promoter: A Web-Based Tool for Boosting the Promotion of Clinical Research Through Social Media

PubMed Central

Ukpolo, Francis; Ward, Edward; Wilson, Melissa L

2016-01-01

Background Scarce information about clinical research, in particular clinical trials, is among the top reasons why potential participants do not take part in clinical studies. Without volunteers, on the other hand, clinical research and the development of novel approaches to preventing, diagnosing, and treating disease are impossible. Promising digital options such as social media have the potential to work alongside traditional methods to boost the promotion of clinical research. However, investigators and research institutions are challenged to leverage these innovations while saving time and resources. Objective To develop and test the efficiency of a Web-based tool that automates the generation and distribution of user-friendly social media messages about clinical trials. Methods Trial Promoter is developed in Ruby on Rails, HTML, cascading style sheet (CSS), and JavaScript. In order to test the tool and the correctness of the generated messages, clinical trials (n=46) were randomized into social media messages and distributed via the microblogging social media platform Twitter and the social network Facebook. The percent correct was calculated to determine the probability with which Trial Promoter generates accurate messages. Results During a 10-week testing phase, Trial Promoter automatically generated and published 525 user-friendly social media messages on Twitter and Facebook. On average, Trial Promoter correctly used the message templates and substituted the message parameters (text, URLs, and disease hashtags) 97.7% of the time (1563/1600). Conclusions Trial Promoter may serve as a promising tool to render clinical trial promotion more efficient while requiring limited resources. It supports the distribution of any research or other types of content. The Trial Promoter code and installation instructions are freely available online. PMID:27357424

Integrating research into clinical internship training bridging the science/practice gap in pediatric psychology.

PubMed

McQuaid, Elizabeth L; Spirito, Anthony

2012-03-01

Existing literature highlights a critical gap between science and practice in clinical psychology. The internship year is a "capstone experience"; training in methods of scientific evaluation should be integrated with the development of advanced clinical competencies. We provide a rationale for continued exposure to research during the clinical internship year, including, (a) critical examination and integration of the literature regarding evidence-based treatment and assessment, (b) participation in faculty-based and independent research, and (c) orientation to the science and strategy of grantsmanship. Participation in research provides exposure to new empirical models and can foster the development of applied research questions. Orientation to grantsmanship can yield an initial sense of the "business of science." Internship provides an important opportunity to examine the challenges to integrating the clinical evidence base into professional practice; for that reason, providing research exposure on internship is an important strategy in training the next generation of pediatric psychologists.

Efficacy and enlightenment: LSD psychotherapy and the Drug Amendments of 1962.

PubMed

Oram, Matthew

2014-04-01

The decline in therapeutic research with lysergic acid diethylamide (LSD) in the United States over the course of the 1960s has commonly been attributed to the growing controversy surrounding its recreational use. However, research difficulties played an equal role in LSD psychotherapy's demise, as they frustrated researchers' efforts to clearly establish the efficacy of treatment. Once the Kefauver Harris Drug Amendments of 1962 introduced the requirement that proof of efficacy be established through controlled clinical trials before a drug could be approved to market, the value of clinical research became increasingly dependent on the scientific rigor of the trial's design. LSD psychotherapy's complex method of utilizing drug effects to catalyze a psychological treatment clashed with the controlled trial methodology on both theoretical and practical levels, making proof of efficacy difficult to obtain. Through a close examination of clinical trials performed after 1962, this article explores how the new emphasis on controlled clinical trials frustrated the progress of LSD psychotherapy research by focusing researchers' attention on trial design to the detriment of their therapeutic method. This analysis provides a new perspective on the death of LSD psychotherapy and explores the implications of the Drug Amendments of 1962.

Thinking and practice of accelerating transformation of traditional Chinese medicine from experience medicine to evidence-based medicine.

PubMed

Liu, Baoyan; Zhang, Yanhong; Hu, Jingqing; He, Liyun; Zhou, Xuezhong

2011-06-01

The gradual development of Chinese medicine is based on constant accumulation and summary of experience in clinical practice, but without the benefit of undergoing the experimental medicine stage. Although Chinese medicine has formed a systematic and unique theory system through thousands of years, with the development of evidence-based medicine, the bondage of the research methods of experience medicine to Chinese medicine is appearing. The rapid transition and transformation from experience medicine to evidence-based medicine have become important content in the development of Chinese medicine. According to the features of Chinese medicine, we propose the research idea of "taking two ways simultaneously," which is the study both in the ideal condition and in the real world. Analyzing and constructing the theoretical basis and methodology of clinical research in the real world, and building the stage for research technique is key to the effective clinical research of Chinese medicine. Only by gradually maturing and completing the clinical research methods of the real world could we realize "taking two ways simultaneously" and complementing each other, continuously produce scientific and reliable evidence of Chinese medicine, as well as transform and develop Chinese medicine from experience medicine to evidence-based medicine.

Number Needed to Benefit From Information (NNBI): Proposal From a Mixed Methods Research Study With Practicing Family Physicians

PubMed Central

Pluye, Pierre; Grad, Roland M.; Johnson-Lafleur, Janique; Granikov, Vera; Shulha, Michael; Marlow, Bernard; Ricarte, Ivan Luiz Marques

2013-01-01

PURPOSE We wanted to describe family physicians’ use of information from an electronic knowledge resource for answering clinical questions, and their perception of subsequent patient health outcomes; and to estimate the number needed to benefit from information (NNBI), defined as the number of patients for whom clinical information was retrieved for 1 to benefit. METHODS We undertook a mixed methods research study, combining quantitative longitudinal and qualitative research studies. Participants were 41 family physicians from primary care clinics across Canada. Physicians were given access to 1 electronic knowledge resource on handheld computer in 2008–2009. For the outcome assessment, participants rated their searches using a validated method. Rated searches were examined during interviews guided by log reports that included ratings. Cases were defined as clearly described searches where clinical information was used for a specific patient. For each case, interviewees described information-related patient health outcomes. For the mixed methods data analysis, quantitative and qualitative data were merged into clinical vignettes (each vignette describing a case). We then estimated the NNBI. RESULTS In 715 of 1,193 searches for information conducted during an average of 86 days, the search objective was directly linked to a patient. Of those searches, 188 were considered to be cases. In 53 cases, participants associated the use of information with at least 1 patient health benefit. This finding suggested an NNBI of 14 (715/53). CONCLUSION The NNBI may be used in further experimental research to compare electronic knowledge resources. A low NNBI can encourage clinicians to search for information more frequently. If all searches had benefits, the NNBI would be 1. In addition to patient benefits, learning and knowledge reinforcement outcomes are frequently reported. PMID:24218380

Critical appraisal of fundamental items in approved clinical trial research proposals in Mashhad University of Medical Sciences

PubMed Central

Shakeri, Mohammad-Taghi; Taghipour, Ali; Sadeghi, Masoumeh; Nezami, Hossein; Amirabadizadeh, Ali-Reza; Bonakchi, Hossein

2017-01-01

Background: Writing, designing, and conducting a clinical trial research proposal has an important role in achieving valid and reliable findings. Thus, this study aimed at critically appraising fundamental information in approved clinical trial research proposals in Mashhad University of Medical Sciences (MUMS) from 2008 to 2014. Methods: This cross-sectional study was conducted on all 935 approved clinical trial research proposals in MUMS from 2008 to 2014. A valid and reliable as well as comprehensive, simple, and usable checklist in sessions with biostatisticians and methodologists, consisting of 11 main items as research tool, were used. Agreement rate between the reviewers of the proposals, who were responsible for data collection, was assessed during 3 sessions, and Kappa statistics was calculated at the last session as 97%. Results: More than 60% of the research proposals had a methodologist consultant, moreover, type of study or study design had been specified in almost all of them (98%). Appropriateness of study aims with hypotheses was not observed in a significant number of research proposals (585 proposals, 62.6%). The required sample size for 66.8% of the approved proposals was based on a sample size formula; however, in 25% of the proposals, sample size formula was not in accordance with the study design. Data collection tool was not selected appropriately in 55.2% of the approved research proposals. Type and method of randomization were unknown in 21% of the proposals and dealing with missing data had not been described in most of them (98%). Inclusion and exclusion criteria were (92%) fully and adequately explained. Moreover, 44% and 31% of the research proposals were moderate and weak in rank, respectively, with respect to the correctness of the statistical analysis methods. Conclusion: Findings of the present study revealed that a large portion of the approved proposals were highly biased or ambiguous with respect to randomization, blinding, dealing with missing data, data collection tool, sampling methods, and statistical analysis. Thus, it is essential to consult and collaborate with a methodologist in all parts of a proposal to control the possible and specific biases in clinical trials. PMID:29445703

Critical appraisal of fundamental items in approved clinical trial research proposals in Mashhad University of Medical Sciences.

PubMed

Shakeri, Mohammad-Taghi; Taghipour, Ali; Sadeghi, Masoumeh; Nezami, Hossein; Amirabadizadeh, Ali-Reza; Bonakchi, Hossein

2017-01-01

Background: Writing, designing, and conducting a clinical trial research proposal has an important role in achieving valid and reliable findings. Thus, this study aimed at critically appraising fundamental information in approved clinical trial research proposals in Mashhad University of Medical Sciences (MUMS) from 2008 to 2014. Methods: This cross-sectional study was conducted on all 935 approved clinical trial research proposals in MUMS from 2008 to 2014. A valid and reliable as well as comprehensive, simple, and usable checklist in sessions with biostatisticians and methodologists, consisting of 11 main items as research tool, were used. Agreement rate between the reviewers of the proposals, who were responsible for data collection, was assessed during 3 sessions, and Kappa statistics was calculated at the last session as 97%. Results: More than 60% of the research proposals had a methodologist consultant, moreover, type of study or study design had been specified in almost all of them (98%). Appropriateness of study aims with hypotheses was not observed in a significant number of research proposals (585 proposals, 62.6%). The required sample size for 66.8% of the approved proposals was based on a sample size formula; however, in 25% of the proposals, sample size formula was not in accordance with the study design. Data collection tool was not selected appropriately in 55.2% of the approved research proposals. Type and method of randomization were unknown in 21% of the proposals and dealing with missing data had not been described in most of them (98%). Inclusion and exclusion criteria were (92%) fully and adequately explained. Moreover, 44% and 31% of the research proposals were moderate and weak in rank, respectively, with respect to the correctness of the statistical analysis methods. Conclusion: Findings of the present study revealed that a large portion of the approved proposals were highly biased or ambiguous with respect to randomization, blinding, dealing with missing data, data collection tool, sampling methods, and statistical analysis. Thus, it is essential to consult and collaborate with a methodologist in all parts of a proposal to control the possible and specific biases in clinical trials.

Informatics Tools to Improve Clinical Research

PubMed Central

Argraves, S; Brandt, CA; Money, R; Nadkarni, P

2005-01-01

During the conduct of complex clinical trials, there are numerous sources and types of data collection and project coordination problems. Methods and approaches to address the conduct of a trial vary in both the cost and time to perform and the potential benefit. Informatics tools can help trial coordinators and investigators ensure the collection of high quality research data during all phases of a clinical trial. PMID:16779170

[Quantitative and qualitative research methods, can they coexist yet?].

PubMed

Hunt, Elena; Lavoie, Anne-Marise

2011-06-01

Qualitative design is gaining ground in Nursing research. In spite of a relative progress however, the evidence based practice movement continues to dominate and to underline the exclusive value of quantitative design (particularly that of randomized clinical trials) for clinical decision making. In the actual context convenient to those in power making utilitarian decisions on one hand, and facing nursing criticism of the establishment in favor of qualitative research on the other hand, it is difficult to chose a practical and ethical path that values the nursing role within the health care system, keeping us committed to quality care and maintaining researcher's integrity. Both qualitative and quantitative methods have advantages and disadvantages, and clearly, none of them can, by itself, capture, describe and explain reality adequately. Therefore, a balance between the two methods is needed. Researchers bare responsibility to society and science, and they should opt for the appropriate design susceptible to answering the research question, not promote the design favored by the research funding distributors.

Ensuring rigour and trustworthiness of qualitative research in clinical pharmacy.

PubMed

Hadi, Muhammad Abdul; José Closs, S

2016-06-01

The use of qualitative research methodology is well established for data generation within healthcare research generally and clinical pharmacy research specifically. In the past, qualitative research methodology has been criticized for lacking rigour, transparency, justification of data collection and analysis methods being used, and hence the integrity of findings. Demonstrating rigour in qualitative studies is essential so that the research findings have the "integrity" to make an impact on practice, policy or both. Unlike other healthcare disciplines, the issue of "quality" of qualitative research has not been discussed much in the clinical pharmacy discipline. The aim of this paper is to highlight the importance of rigour in qualitative research, present different philosophical standpoints on the issue of quality in qualitative research and to discuss briefly strategies to ensure rigour in qualitative research. Finally, a mini review of recent research is presented to illustrate the strategies reported by clinical pharmacy researchers to ensure rigour in their qualitative research studies.

Guidance for Researchers Developing and Conducting Clinical Trials in Practice-based Research Networks (PBRNs)

PubMed Central

Dolor, Rowena J.; Schmit, Kristine M.; Graham, Deborah G.; Fox, Chester H.; Baldwin, Laura Mae

2015-01-01

Background There is increased interest nationally in multicenter clinical trials to answer questions about clinical effectiveness, comparative effectiveness, and safety in real-world community settings. Primary care practice-based research networks (PBRNs), comprising community- and/or academically affiliated practices committed to improving medical care for a range of health problems, offer ideal settings for these trials, especially pragmatic clinical trials. However, many researchers are not familiar with working with PBRNs. Methods Experts in practice-based research identified solutions to challenges that researchers and PBRN personnel experience when collaborating on clinical trials in PBRNs. These were organized as frequently asked questions in a draft document presented at a 2013 Agency for Health care Research and Quality PBRN conference workshop, revised based on participant feedback, then shared with additional experts from the DARTNet Institute, Clinical Translational Science Award PBRN, and North American Primary Care Research Group PBRN workgroups for further input and modification. Results The “Toolkit for Developing and Conducting Multi-site Clinical Trials in Practice-Based Research Networks” offers guidance in the areas of recruiting and engaging practices, budgeting, project management, and communication, as well as templates and examples of tools important in developing and conducting clinical trials. Conclusion Ensuring the successful development and conduct of clinical trials in PBRNs requires a highly collaborative approach between academic research and PBRN teams. PMID:25381071

Molecular Cloning of the Human Genes(s) Directing the Synthesis of Nervous System Cholinesterases.

DTIC Science & Technology

1985-12-01

anesthesia (1) This clinical om~pli- cation ould be diagnosed by a rapid method to detect such deficiencies or preventeod by injecting, as a scavenger...the enzyme could hence be employed to develop a method for the clinical diagnosis of this dims. Thus both for basic research and multiple clinical...translation, crossed imunoelec- trophoresis, and atoiradiogar t. This approach gives a method of high sensitivity and low back . It has the advantage over

Maternal Opioid Treatment: Human Experimental Research (MOTHER) – Approach, Issues, and Lessons Learned

PubMed Central

Jones, Hendrée E.; Fischer, Gabriele; Heil, Sarah H.; Kaltenbach, Karol; Martin, Peter R.; Coyle, Mara G.; Selby, Peter; Stine, Susan M.; O’Grady, Kevin E.; Arria, Amelia M.

2015-01-01

Aims The Maternal Opioid Treatment: Human Experimental Research (MOTHER) project, an eight-site randomized, double-blind, double-dummy, flexible-dosing, parallel-group clinical trial is described. This study is the most current – and single most comprehensive – research effort to investigate the safety and efficacy of maternal and prenatal exposure to methadone and buprenorphine. Methods The MOTHER study design is outlined, and its basic features are presented. Conclusions At least seven important lessons have been learned from the MOTHER study: (1) an interdisciplinary focus improves the design and methods of a randomized clinical trial; (2) multiple sites in a clinical trial present continuing challenges to the investigative team due to variations in recruitment goals, patient populations, and hospital practices that in turn differentially impact recruitment rates, treatment compliance, and attrition; (3) study design and protocols must be flexible in order to meet the unforeseen demands of both research and clinical management; (4) staff turnover needs to be addressed with a proactive focus on both hiring and training; (5) the implementation of a protocol for the treatment of a particular disorder may identify important ancillary clinical issues worthy of investigation; (6) timely tracking of data in a multi-site trial is both demanding and unforgiving; and, (7) complex multi-site trials pose unanticipated challenges that complicate the choice of statistical methods, thereby placing added demands on investigators to effectively communicate their results. PMID:23106924

Towards the development of a comprehensive framework: Qualitative systematic survey of definitions of clinical research quality

PubMed Central

von Niederhäusern, Belinda; Schandelmaier, Stefan; Mi Bonde, Marie; Brunner, Nicole; Hemkens, Lars G.; Rutquist, Marielle; Bhatnagar, Neera; Guyatt, Gordon H.; Pauli-Magnus, Christiane; Briel, Matthias

2017-01-01

Objective To systematically survey existing definitions, concepts, and criteria of clinical research quality, both developed by stakeholder groups as well as in the medical literature. This study serves as a first step in the development of a comprehensive framework for the quality of clinical research. Study design and setting We systematically and in duplicate searched definitions, concepts and criteria of clinical research quality on websites of stakeholders in clinical research until no further insights emerged and in MEDLINE up to February 2015. Stakeholders included governmental bodies, regulatory agencies, the pharmaceutical industry, academic and commercial contract research organizations, initiatives, research ethics committees, patient organizations and funding agencies from 13 countries. Data synthesis involved descriptive and qualitative analyses following the Framework Method on definitions, concepts, and criteria of clinical research quality. Descriptive codes were applied and grouped into clusters to identify common and stakeholder-specific quality themes. Results Stakeholder concepts on how to assure quality throughout study conduct or articles on quality assessment tools were common, generally with no a priori definition of the term quality itself. We identified a total of 20 explicit definitions of clinical research quality including varying quality dimensions and focusing on different stages in the clinical research process. Encountered quality dimensions include ethical conduct, patient safety/rights/priorities, internal validity, precision of results, generalizability or external validity, scientific and societal relevance, transparency and accessibility of information, research infrastructure and sustainability. None of the definitions appeared to be comprehensive either in terms of quality dimensions, research stages, or stakeholder perspectives. Conclusion Clinical research quality is often discussed but rarely defined. A framework defining clinical research quality across stakeholders’ individual perspectives is desirable to facilitate discussion, assessment, and improvement of quality at all stages of clinical research. PMID:28715491

Towards the development of a comprehensive framework: Qualitative systematic survey of definitions of clinical research quality.

PubMed

von Niederhäusern, Belinda; Schandelmaier, Stefan; Mi Bonde, Marie; Brunner, Nicole; Hemkens, Lars G; Rutquist, Marielle; Bhatnagar, Neera; Guyatt, Gordon H; Pauli-Magnus, Christiane; Briel, Matthias

2017-01-01

To systematically survey existing definitions, concepts, and criteria of clinical research quality, both developed by stakeholder groups as well as in the medical literature. This study serves as a first step in the development of a comprehensive framework for the quality of clinical research. We systematically and in duplicate searched definitions, concepts and criteria of clinical research quality on websites of stakeholders in clinical research until no further insights emerged and in MEDLINE up to February 2015. Stakeholders included governmental bodies, regulatory agencies, the pharmaceutical industry, academic and commercial contract research organizations, initiatives, research ethics committees, patient organizations and funding agencies from 13 countries. Data synthesis involved descriptive and qualitative analyses following the Framework Method on definitions, concepts, and criteria of clinical research quality. Descriptive codes were applied and grouped into clusters to identify common and stakeholder-specific quality themes. Stakeholder concepts on how to assure quality throughout study conduct or articles on quality assessment tools were common, generally with no a priori definition of the term quality itself. We identified a total of 20 explicit definitions of clinical research quality including varying quality dimensions and focusing on different stages in the clinical research process. Encountered quality dimensions include ethical conduct, patient safety/rights/priorities, internal validity, precision of results, generalizability or external validity, scientific and societal relevance, transparency and accessibility of information, research infrastructure and sustainability. None of the definitions appeared to be comprehensive either in terms of quality dimensions, research stages, or stakeholder perspectives. Clinical research quality is often discussed but rarely defined. A framework defining clinical research quality across stakeholders' individual perspectives is desirable to facilitate discussion, assessment, and improvement of quality at all stages of clinical research.

Experience inheritance from famous specialists based on real-world clinical research paradigm of traditional Chinese medicine.

PubMed

Song, Guanli; Wang, Yinghui; Zhang, Runshun; Liu, Baoyan; Zhou, Xuezhong; Zhou, Xiaji; Zhang, Hong; Guo, Yufeng; Xue, Yanxing; Xu, Lili

2014-09-01

The current modes of experience inheritance from famous specialists in traditional Chinese medicine (TCM) include master and disciple, literature review, clinical-epidemiology-based clinical research observation, and analysis and data mining via computer and database technologies. Each mode has its advantages and disadvantages. However, a scientific and instructive experience inheritance mode has not been developed. The advent of the big data era as well as the formation and practice accumulation of the TCM clinical research paradigm in the real world have provided new perspectives, techniques, and methods for inheriting experience from famous TCM specialists. Through continuous exploration and practice, the research group proposes the innovation research mode based on the real-world TCM clinical research paradigm, which involves the inheritance and innovation of the existing modes. This mode is formulated in line with its own development regularity of TCM and is expected to become the main mode of experience inheritance in the clinical field.

Research-active clinical nurses: against all odds.

PubMed

Siedlecki, Sandra L; Albert, Nancy M

2017-03-01

To develop a theoretical understanding of factors that impact decisions of clinical nurses to conduct a research study. Only a small percentage of all nurses are research-active and even fewer clinical nurses are research-active. Several researchers have explored barriers to research activity by clinical nurses, but few have examined why, in spite of all odds, some clinical nurses are research-active. As the purpose of this study was to develop a theoretical understanding of the research-active nurse, a grounded theory approach was used. The sample interviewed for this study consisted of registered nurses (n = 26) who worked in a hospital or ambulatory setting, had daily direct patient contact and had participated as principal investigator on at least one completed clinical nursing research study that was not in fulfilment of an educational requirement. The interviews were digitally recorded and analysed by two researchers using the constant comparative method. The findings from this study suggest that the conduct of research by clinical nurses was the direct result of a clinical trigger, characteristics and beliefs of the nurse about research and their role in generating knowledge, and the presence of support conditions, such as a research mentor. Clinical nurses can and do conduct research, in spite of constraints due to a lack of time, money and/or knowledge, if they have access to research mentors and are practising in a research-supportive environment. Nurses at the bedside are in a unique position to identify problems most in need of solutions. Findings from this study provide a foundation upon which to develop and test various programmes that seek to increase the number of clinical nurses who are research-active. © 2016 John Wiley & Sons Ltd.

A Mixed Methods Study Exploring Strengths-Based Mentoring in Clinical Practice and Student Teacher Development

ERIC Educational Resources Information Center

Moehle, Matthew R.

2011-01-01

As teacher education programs further emphasize clinical experiences, the role of university student teaching supervisor becomes increasingly important, as does research on supervision practices. Practitioners and researchers in the fields of positive psychology, management, and teacher education have argued that mentors who employ characteristics…

Enhancing predictive accuracy and reproducibility in clinical evaluation research: Commentary on the special section of the Journal of Evaluation in Clinical Practice.

PubMed

Bryant, Fred B

2016-12-01

This paper introduces a special section of the current issue of the Journal of Evaluation in Clinical Practice that includes a set of 6 empirical articles showcasing a versatile, new machine-learning statistical method, known as optimal data (or discriminant) analysis (ODA), specifically designed to produce statistical models that maximize predictive accuracy. As this set of papers clearly illustrates, ODA offers numerous important advantages over traditional statistical methods-advantages that enhance the validity and reproducibility of statistical conclusions in empirical research. This issue of the journal also includes a review of a recently published book that provides a comprehensive introduction to the logic, theory, and application of ODA in empirical research. It is argued that researchers have much to gain by using ODA to analyze their data. © 2016 John Wiley & Sons, Ltd.

Clinical leadership and pre-registration nursing programmes: A model for clinical leadership and a prospective curriculum implementation and evaluation research strategy.

PubMed

Brown, Angela; Dewing, Jan; Crookes, Patrick

2016-07-01

To present for wider debate a conceptual model for clinical leadership development in pre-registration nursing programmes and a proposed implementation plan. Globally, leadership in nursing has become a significant issue. Whilst there is continued support for leadership preparation in pre-registration nursing programmes, there have been very few published accounts of curriculum content and/or pedagogical approaches that foster clinical leadership development in pre-registration nursing. A doctoral research study has resulted in the creation of an overarching model for clinical leadership. A multi-method research study using theoretical and empirical literature 1974-2015, a focus group, expert opinion and a national on-line survey. A conceptual model of clinical leadership development in pre-registration nursing programme is presented, including the infinity loop of clinical leadership, an integral curriculum thread and a conceptual model: a curriculum-pedagogy nexus for clinical leadership. In order to test out usability and evaluate effectiveness, a multi method programme of research in one school of nursing in Australia is outlined. Implementation of the proposed conceptual model for clinical leadership development in pre-registration nursing programmes and a programme of (post-doctoral) research will contribute to what is known about curriculum content and pedagogy for nurse academics. Importantly, for nursing students and the profession as a whole, there is a clearer expectation of what clinical leadership might look like in the novice registered nurse. For nurse academics a model is offered for consideration in curriculum design and implementation with an evaluation strategy that could be replicated. Copyright © 2016 Elsevier Ltd. All rights reserved.

Clinical Research Informatics for Big Data and Precision Medicine

PubMed Central

Kahn, M. G.

2016-01-01

Summary Objectives To reflect on the notable events and significant developments in Clinical Research Informatics (CRI) in the year of 2015 and discuss near-term trends impacting CRI. Methods We selected key publications that highlight not only important recent advances in CRI but also notable events likely to have significant impact on CRI activities over the next few years or longer, and consulted the discussions in relevant scientific communities and an online living textbook for modern clinical trials. We also related the new concepts with old problems to improve the continuity of CRI research. Results The highlights in CRI in 2015 include the growing adoption of electronic health records (EHR), the rapid development of regional, national, and global clinical data research networks for using EHR data to integrate scalable clinical research with clinical care and generate robust medical evidence. Data quality, integration, and fusion, data access by researchers, study transparency, results reproducibility, and infrastructure sustainability are persistent challenges. Conclusion The advances in Big Data Analytics and Internet technologies together with the engagement of citizens in sciences are shaping the global clinical research enterprise, which is getting more open and increasingly stakeholder-centered, where stakeholders include patients, clinicians, researchers, and sponsors. PMID:27830253

Real-time caries diagnostics by optical PNC method

NASA Astrophysics Data System (ADS)

Masychev, Victor I.; Alexandrov, Michail T.

2000-11-01

The results of hard tooth tissues research by the optical PNC- method in experimental and clinical conditions are presented. In the experiment under 90 test-sample of tooth slices with thickness about 1mm (enamel, dentine and cement) were researched. The results of the experiment were processed by the method of correlation analyze. Clinical researches were executed on teeth of 210 patients. The regions of tooth tissue diseases with initial, moderate and deep caries were investigated. Spectral characteristics of intact and pathologically changed tooth tissues are presented and their peculiar features are discussed. The results the optical PNC-method application while processing tooth carious cavities are presented in order to estimate efficiency of the mechanical and antiseptic processing of teeth. It is revealed that the PNC-method can be sued as for differential diagnostics of a degree dental carious stage, as for estimating of carefulness of tooth cavity processing before filling.

Express diagnostics of intact and pathological dental hard tissues by optical PNC method

NASA Astrophysics Data System (ADS)

Masychev, Victor I.; Alexandrov, Michail T.

2000-03-01

The results of hard tooth tissues research by the optical PNC- method in experimental and clinical conditions are presented. In the experiment under 90 test-sample of tooth slices with thickness about 1 mm (enamel, dentine and cement) were researched. The results of the experiment were processed by the method of correlation analyze. Clinical researches were executed on teeth of 210 patients. The regions of tooth tissue diseases with initial, moderate and deep caries were investigated. Spectral characteristics of intact and pathologically changed tooth tissues are presented and their peculiar features are discussed. The results the optical PNC- method application while processing tooth carious cavities are presented in order to estimate efficiency of the mechanical and antiseptic processing of teeth. It is revealed that the PNC-method can be used as for differential diagnostics of a degree dental carious stage, as for estimating of carefulness of tooth cavity processing before filling.

Danish research-active clinical nurses overcome barriers in research utilization.

PubMed

Adamsen, Lis; Larsen, Kristian; Bjerregaard, Lene; Madsen, Jan K

2003-03-01

The aim of this study was to examine whether there was a difference between clinical nurses who were research-active, and clinical nurses who were nonresearch-active in utilization of research. A further aim was to identify the most significant barriers faced by a group of Danish clinical nurses in their use of research. Discrepancy between the improved quality of research results and the lack of implementing them was the starting point for a series of studies which showed the types of barriers clinical nurses found especially cumbersome when applying the research results of other researchers. This study investigates whether the clinical nurses' own engagement in research had any impact on their perception of research utilization. The study had an exploratory and descriptive design. Seventy-nine Danish clinical nurses participated and semi-structured interviewing was used as the research method. There was a statistically significant difference between the research-active and nonresearch-active nurses on various variables. The study showed that, to a larger extent, research-active nurses used evidence-based knowledge and were generally more internationally orientated. Furthermore, two important barriers for research utilization were identified by all 79 clinical nurses included in the study, i.e. 90% of the nurses explained that the quantity of research results was overwhelming, and 75% of them found that they were unable to evaluate the quality of the research. Clinical nurses, who were research-active themselves, experienced more success in overcoming some of the barriers, which existed in applying research to practice. The research potential found amongst clinical nurses in Denmark needed to be further supported through training and guidance in research methodology, establishing introductory stipends and part-time research positions. By doing so, some of the barriers affecting research utilization and the so-called theory-practice gap might be reduced. Further empirical studies, based on Giddens theory of sociological reflectivity, might see clinical nurses in a more serious light and simultaneously perceive them as producers of knowledge.

Effectiveness of a five-step method for teaching clinical skills to students in a dental college in India.

PubMed

Virdi, Mandeep S; Sood, Meenakshi

2011-11-01

This study conducted at the PDM Dental College and Research Institute, Haryana, India, had the purpose of developing a teaching method based upon a five-step method for teaching clinical skills to students proposed by the American College of Surgeons. This five-step teaching method was used to place fissure sealants as an initial procedure by dental students in clinics. The sealant retention was used as an objective evaluation of the skill learnt by the students. The sealant retention was 92 percent at six- and twelve-month evaluations and 90 percent at the eighteen-month evaluation. These results indicate that simple methods can be devised for teaching clinical skills and achieve high success rates in clinical procedures requiring multiple steps.

Cancer Imaging Phenomics Toolkit (CaPTk) | Informatics Technology for Cancer Research (ITCR)

Cancer.gov

CaPTk is a software toolkit to facilitate translation of quantitative image analysis methods that help us obtain rich imaging phenotypic signatures of oncologic images and relate them to precision diagnostics and prediction of clinical outcomes, as well as to underlying molecular characteristics of cancer. The stand-alone graphical user interface of CaPTk brings analysis methods from the realm of medical imaging research to the clinic, and will be extended to use web-based services for computationally-demanding pipelines.

[Evaluation of the first training on clinical research methodology in Chile].

PubMed

Espinoza, Manuel; Cabieses, Báltica; Pedreros, César; Zitko, Pedro

2011-03-01

This paper describes the evaluation of the first training on clinical research methodology in Chile (EMIC-Chile) 12 months after its completion. An online survey was conducted for students and the Delphi method was used for the teaching team. Among the students, the majority reported that the program had contributed to their professional development and that they had shared some of the knowledge acquired with colleagues in their workplace. Forty-one percent submitted a project to obtain research funding through a competitive grants process once they had completed the course. Among the teachers, the areas of greatest interest were the communication strategy, teaching methods, the characteristics of the teaching team, and potential strategies for making the EMIC-Chile permanent in the future. This experience could contribute to future research training initiatives for health professionals. Recognized challenges are the involvement of nonmedical professions in clinical research, the complexities associated with the distance learning methodology, and the continued presence of initiatives of this importance at the national and regional level.

[Proceedings of clinical pharmacy research with the cooperation of community and hospital pharmacist and pharmacy school].

PubMed

Hirotani, Yoshihiko

2007-11-01

The new pharmaceutical education system starts in Japan, those constructions are performed at a lot of universities aiming at the execution of a common examination and the clinical training, and the workshop for directive pharmacists have been held actively since last year. Moreover, various educational lectures, open lectures, and the training lectures for on-site pharmacist's upskilling are carried out. However, a technical training and the lecture for research approach that supports the pharmacist in a pharmaceutical clinical research are little at the chance to learn the research methods. Now, many joint researches with university initiative or a university is performed, and the institution of presentation inexperience at academic society also exists in terms of a regional element, a staff arrangement side, etc, and also when the continuation is difficult, it looks mostly. It is necessary that the teacher of pharmacy school almost arranged in the whole country support positively a clinical research by the nearby pharmacist, and also it seems that a clinical teacher's role is large in the cooperation of pharmacy school and the medical institution. Moreover, in order to elucidate the scientific basis (mechanism) of a problem suggestion in the clinical spot, basic research in a pharmacy school is also required. We always need to advance a pharmaceutical clinical research by considering the basic research by pharmacy school in medical institution, considering clinical research by medical institution in pharmacy school, while cooperating mutually. In this article, I show how to advance pharmaceutical clinical research.

Clinical relevance vs. statistical significance: Using neck outcomes in patients with temporomandibular disorders as an example.

PubMed

Armijo-Olivo, Susan; Warren, Sharon; Fuentes, Jorge; Magee, David J

2011-12-01

Statistical significance has been used extensively to evaluate the results of research studies. Nevertheless, it offers only limited information to clinicians. The assessment of clinical relevance can facilitate the interpretation of the research results into clinical practice. The objective of this study was to explore different methods to evaluate the clinical relevance of the results using a cross-sectional study as an example comparing different neck outcomes between subjects with temporomandibular disorders and healthy controls. Subjects were compared for head and cervical posture, maximal cervical muscle strength, endurance of the cervical flexor and extensor muscles, and electromyographic activity of the cervical flexor muscles during the CranioCervical Flexion Test (CCFT). The evaluation of clinical relevance of the results was performed based on the effect size (ES), minimal important difference (MID), and clinical judgement. The results of this study show that it is possible to have statistical significance without having clinical relevance, to have both statistical significance and clinical relevance, to have clinical relevance without having statistical significance, or to have neither statistical significance nor clinical relevance. The evaluation of clinical relevance in clinical research is crucial to simplify the transfer of knowledge from research into practice. Clinical researchers should present the clinical relevance of their results. Copyright © 2011 Elsevier Ltd. All rights reserved.

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures.

PubMed

Colen, Rivka; Foster, Ian; Gatenby, Robert; Giger, Mary Ellen; Gillies, Robert; Gutman, David; Heller, Matthew; Jain, Rajan; Madabhushi, Anant; Madhavan, Subha; Napel, Sandy; Rao, Arvind; Saltz, Joel; Tatum, James; Verhaak, Roeland; Whitman, Gary

2014-10-01

The National Cancer Institute (NCI) Cancer Imaging Program organized two related workshops on June 26-27, 2013, entitled "Correlating Imaging Phenotypes with Genomics Signatures Research" and "Scalable Computational Resources as Required for Imaging-Genomics Decision Support Systems." The first workshop focused on clinical and scientific requirements, exploring our knowledge of phenotypic characteristics of cancer biological properties to determine whether the field is sufficiently advanced to correlate with imaging phenotypes that underpin genomics and clinical outcomes, and exploring new scientific methods to extract phenotypic features from medical images and relate them to genomics analyses. The second workshop focused on computational methods that explore informatics and computational requirements to extract phenotypic features from medical images and relate them to genomics analyses and improve the accessibility and speed of dissemination of existing NIH resources. These workshops linked clinical and scientific requirements of currently known phenotypic and genotypic cancer biology characteristics with imaging phenotypes that underpin genomics and clinical outcomes. The group generated a set of recommendations to NCI leadership and the research community that encourage and support development of the emerging radiogenomics research field to address short-and longer-term goals in cancer research.

[Research progress of mechanism and prevention of peritendinous adhesions].

PubMed

Jiang, Shichao; Liu, Shen; Fan, Cunyi

2013-05-01

To review the research progress of mechanism and prevention of peritendinous adhesions. Methods Recent literature about peritendinous adhesions was reviewed, and the results from experiments about the mechanism and prevention of peritendinous adhesions were analyzed. The molecular mechanism of peritendinous adhesions is related to overexpressions of transforming growth factor beta 1, early growth response protein 1, matrix metallopeptidase 9, and so on. The present methods of prevention of peritendinous adhesions include drugs, barrier, optimizing rehabilitation, gene therapy, and so on. These methods have achieved good results in experiments, but the clinical applications have not been confirmed yet. It is necessary to pay more attention to the research of mechanism of peritendinous adhesions and methods of its prevention and subsequently to convert them into clinical applications, which is significant to the prevention of peritendinous adhesions in the future.

A comprehensive framework for data quality assessment in CER.

PubMed

Holve, Erin; Kahn, Michael; Nahm, Meredith; Ryan, Patrick; Weiskopf, Nicole

2013-01-01

The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings derived from diverse and distributed data sources are based on credible, high-quality data; and that the methods used to assess and report data quality are consistent, comprehensive, and available to data consumers. The panel consists of representatives from four teams leveraging electronic clinical data for CER, patient centered outcomes research (PCOR), and quality improvement (QI) and seeks to change the current paradigm where data quality assessment (DQA) is performed "behind the scenes" using one-off project specific methods. The panelists will present their process of harmonizing existing models for describing and measuring clinical data quality and will describe a comprehensive integrated framework for assessing and reporting DQA findings. The collaborative project is supported by the Electronic Data Methods (EDM) Forum, a three-year grant from the Agency for Healthcare Research and Quality (AHRQ) to facilitate learning and foster collaboration across a set of CER, PCOR, and QI projects designed to build infrastructure and methods for collecting and analyzing prospective data from electronic clinical data .

[Discussion on development of four diagnostic information scale for clinical re-evaluation of postmarketing herbs].

PubMed

He, Wei; Xie, Yanming; Wang, Yongyan

2011-12-01

Post-marketing re-evaluation of Chinese herbs can well reflect Chinese medicine characteristics, which is the most easily overlooked the clinical re-evaluation content. Since little attention has been paid to this, study on the clinical trial design method was lost. It is difficult to improving the effectiveness and safety of traditional Chinese medicine. Therefore, more attention should be paid on re-evaluation of the clinical trial design method point about tcm syndrome such as the type of research program design, the study of Chinese medical information collection scale and statistical analysis methods, so as to improve the clinical trial design method study about tcm syndrome of Chinese herbs postmarketing re-evalutation status.

Automation in an addiction treatment research clinic: computerised contingency management, ecological momentary assessment and a protocol workflow system.

PubMed

Vahabzadeh, Massoud; Lin, Jia-Ling; Mezghanni, Mustapha; Epstein, David H; Preston, Kenzie L

2009-01-01

A challenge in treatment research is the necessity of adhering to protocol and regulatory strictures while maintaining flexibility to meet patients' treatment needs and to accommodate variations among protocols. Another challenge is the acquisition of large amounts of data in an occasionally hectic environment, along with the provision of seamless methods for exporting, mining and querying the data. We have automated several major functions of our outpatient treatment research clinic for studies in drug abuse and dependence. Here we describe three such specialised applications: the Automated Contingency Management (ACM) system for the delivery of behavioural interventions, the transactional electronic diary (TED) system for the management of behavioural assessments and the Protocol Workflow System (PWS) for computerised workflow automation and guidance of each participant's daily clinic activities. These modules are integrated into our larger information system to enable data sharing in real time among authorised staff. ACM and the TED have each permitted us to conduct research that was not previously possible. In addition, the time to data analysis at the end of each study is substantially shorter. With the implementation of the PWS, we have been able to manage a research clinic with an 80 patient capacity, having an annual average of 18,000 patient visits and 7300 urine collections with a research staff of five. Finally, automated data management has considerably enhanced our ability to monitor and summarise participant safety data for research oversight. When developed in consultation with end users, automation in treatment research clinics can enable more efficient operations, better communication among staff and expansions in research methods.

Translating Evidence Into Practice via Social Media: A Mixed-Methods Study

PubMed Central

Tunnecliff, Jacqueline; Morgan, Prue; Gaida, Jamie E; Clearihan, Lyn; Sadasivan, Sivalal; Davies, David; Ganesh, Shankar; Mohanty, Patitapaban; Weiner, John; Reynolds, John; Ilic, Dragan

2015-01-01

Background Approximately 80% of research evidence relevant to clinical practice never reaches the clinicians delivering patient care. A key barrier for the translation of evidence into practice is the limited time and skills clinicians have to find and appraise emerging evidence. Social media may provide a bridge between health researchers and health service providers. Objective The aim of this study was to determine the efficacy of social media as an educational medium to effectively translate emerging research evidence into clinical practice. Methods The study used a mixed-methods approach. Evidence-based practice points were delivered via social media platforms. The primary outcomes of attitude, knowledge, and behavior change were assessed using a preintervention/postintervention evaluation, with qualitative data gathered to contextualize the findings. Results Data were obtained from 317 clinicians from multiple health disciplines, predominantly from the United Kingdom, Australia, the United States, India, and Malaysia. The participants reported an overall improvement in attitudes toward social media for professional development (P<.001). The knowledge evaluation demonstrated a significant increase in knowledge after the training (P<.001). The majority of respondents (136/194, 70.1%) indicated that the education they had received via social media had changed the way they practice, or intended to practice. Similarly, a large proportion of respondents (135/193, 69.9%) indicated that the education they had received via social media had increased their use of research evidence within their clinical practice. Conclusions Social media may be an effective educational medium for improving knowledge of health professionals, fostering their use of research evidence, and changing their clinical behaviors by translating new research evidence into clinical practice. PMID:26503129

Combining value of information analysis and ethical argumentation in decisions on participation of vulnerable patients in clinical research.

PubMed

van der Wilt, Gert J; Grutters, Janneke P C; Maas, Angela H E M; Rolden, Herbert J A

2018-02-05

The participation of vulnerable patients in clinical research poses apparent ethical dilemmas. Depending on the nature of the vulnerability, their participation may challenge the ethical principles of autonomy, non-maleficence, or justice. On the other hand, non-participation may preclude the building of a knowledge base that is a prerequisite for defining the optimal clinical management of vulnerable patients. Such clinical uncertainty may also incur substantial economic costs. We present the participation of pre-menopausal women with atrial fibrillation in trials of novel oral anticoagulant drugs as a case study. Due to their non-participation in pivotal trials, it is uncertain whether for them, the risks that are associated with these drugs are outweighed by the advantages compared with conventional treatment. We addressed the question whether research of this new class of drugs in this subgroup would be appropriate from both, an ethical as well an economic perspective. We used the method of specifying norms as a wider framework to resolve the apparent ethical dilemma, while incorporating the question whether research of oral anticoagulants in premenopausal women with atrial fibrillation can be justified on economic grounds. For the latter, the results of a value-of-information analysis were used. Further clinical research on NOACs in premenopausal women with atrial fibrillation can be justified on both, ethical and economic grounds. Addressing apparent ethical dilemmas by invoking a method such as specifying norms can improve the quality of public practical reasoning. As such, the method should also prove valuable to committees that have formally been granted the authority to review trial protocols and proposals for scientific research.

Preventing Caries in Preschoolers: Successful Initiation of an Innovative Community-Based Clinical Trial in Navajo Nation Head Start

PubMed Central

Quissell, David O.; Bryant, Lucinda L.; Braun, Patricia A.; Cudeii, Diana; Johs, Nikolas; Smith, Vongphone L.; George, Carmen; Henderson, William G.; Albino, Judith

2014-01-01

Navajo Nation children have the greatest prevalence of early childhood caries in the United States. This protocol describes an innovative combination of community-based participatory research and clinical trial methods to rigorously test a lay native Community Oral Health Specialists-delivered oral health intervention, with the goal of reducing the progression of disease and improving family knowledge and behaviors. Methods/Design This cluster-randomized trial designed by researchers at the Center for Native Oral Health Research at the University of Colorado in conjunction with members of the Navajo Nation community compares outcomes between the manualized 2-year oral health fluoride varnish-oral health promotion intervention and usual care in the community (child-caregiver dyads from 26 Head Start classrooms in each study arm; total of 1016 dyads). Outcome assessment includes annual dental screening and an annual caregiver survey of knowledge, attitudes and behaviors; collection of cost data will support cost-benefit analyses. Discussion The study protocol meets all standards required of randomized clinical trials. Aligned with principles of community-based participatory research, extended interaction between members of the Navajo community and researchers preceded study initiation, and collaboration between project staff and a wide variety of community members informed the study design and implementation. We believe the benefits of adding CBPR methods to those of randomized clinical studies outweigh the barriers and constraints, especially in studies of health disparities and in challenging settings. When done well, this innovative mix of methods will increase the likelihood of valid results that communities can use. PMID:24469238

Assessing Clinical Significance: Does it Matter which Method we Use?

ERIC Educational Resources Information Center

Atkins, David C.; Bedics, Jamie D.; Mcglinchey, Joseph B.; Beauchaine, Theodore P.

2005-01-01

Measures of clinical significance are frequently used to evaluate client change during therapy. Several alternatives to the original method devised by N. S. Jacobson, W. C. Follette, & D. Revenstorf (1984) have been proposed, each purporting to increase accuracy. However, researchers have had little systematic guidance in choosing among…

Knowledge Translation in Rehabilitation: A Shared Vision.

PubMed

Moore, Jennifer L; Shikako-Thomas, Keiko; Backus, Deborah

2017-07-01

Advances in rehabilitation provide the infrastructure for research and clinical data to improve care and patient outcomes. However, gaps between research and practice are prevalent. Knowledge translation (KT) aims to decrease the gap between research and its clinical use. This special communication summarizes KT-related proceedings from the 2016 IV STEP conference, describes current KT in rehabilitation science, and provides suggestions for its application in clinical care. We propose a vision for rehabilitation clinical practice and research that includes the development, adaptation, and implementation of evidence-based practice recommendations, which will contribute to a learning health care system. A clinical research culture that supports this vision and methods to engage key stakeholders to innovate rehabilitation science and practice are described. Through implementation of this vision, we can lead an evolution in rehabilitation practice to ultimately prevent disabilities, predict better outcomes, exploit plasticity, and promote participation.

The Ethics of Clinical Care and the Ethics of Clinical Research: Yin and Yang.

PubMed

Kowalski, Charles J; Hutchinson, Raymond J; Mrdjenovich, Adam J

2017-02-01

The Belmont Report's distinction between research and the practice of accepted therapy has led various authors to suggest that these purportedly distinct activities should be governed by different ethical principles. We consider some of the ethical consequences of attempts to separate the two and conclude that separation fails along ontological, ethical, and epistemological dimensions. Clinical practice and clinical research, as with yin and yang, can be thought of as complementary forces interacting to form a dynamic system in which the whole exceeds the sum of its parts. Just as effective clinical practice cannot exist without clinical research, meaningful clinical research requires the context of clinical practice. We defend this thesis by triangulation, that is, by outlining how multiple investigators have reached this conclusion on the basis of varied theoretical and applied approaches. More confidence can be placed in a result if different methods/viewpoints have led to that result. © The Author 2017. Published by Oxford University Press, on behalf of the Journal of Medicine and Philosophy Inc. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Novel survey disseminated through Twitter supports its utility for networking, disseminating research, advocacy, clinical practice and other professional goals

PubMed Central

Borgmann, Hendrik; DeWitt, Sasha; Tsaur, Igor; Haferkamp, Axel; Loeb, Stacy

2015-01-01

Introduction: Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users’ clinical practice, research, and other professional activities. Methods: We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. Results: Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. Conclusions: Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method. PMID:26664662

Clinical Research Priorities in Adult Congenital Heart Disease

PubMed Central

Cotts, Timothy; Khairy, Paul; Opotowsky, Alexander R.; John, Anitha S.; Valente, Anne Marie; Zaidi, Ali N.; Cook, Stephen C.; Aboulhosn, Jamil; Ting, Jennifer Grando; Gurvitz, Michelle; Landzberg, Michael J.; Verstappen, Amy; Kay, Joseph; Earing, Michael; Franklin, Wayne; Kogon, Brian; Broberg, Craig S.

2014-01-01

Background Adult congenital heart disease (ACHD) clinicians are hampered by the paucity of data to inform clinical decision-making. The objective of this study was to identify priorities for clinical research in ACHD. Methods A list of 45 research questions was developed by the Alliance for Adult Research in Congenital Cardiology (AARCC), compiled into a survey, and administered to ACHD providers. Patient input was sought via the Adult Congenital Heart Association at community meetings and online forums. The 25 top questions were sent to ACHD providers worldwide via an online survey. Each question was ranked based on perceived priority and weighted based on time spent in ACHD care. The top 10 topics identified are presented and discussed. Results The final online survey yielded 139 responses. Top priority questions related to tetralogy of Fallot (timing of pulmonary valve replacement and criteria for primary prevention ICDs), patients with systemic right ventricles (determining the optimal echocardiographic techniques for measuring right ventricular function, and indications for tricuspid valve replacement and primary prevention ICDs), and single ventricle/Fontan patients (role of pulmonary vasodilators, optimal anticoagulation, medical therapy for preservation of ventricular function, treatment for protein losing enteropathy). In addition, establishing criteria to refer ACHD patients for cardiac transplantation was deemed a priority. Conclusions The ACHD field is in need of prospective research to address fundamental clinical questions. It is hoped that this methodical consultation process will inform researchers and funding organizations about clinical research topics deemed to be of high priority. PMID:24411207

Economic Analysis of Centralized vs. Decentralized Electronic Data Capture in Multi-Center Clinical Studies

PubMed Central

Walden, Anita; Nahm, Meredith; Barnett, M. Edwina; Conde, Jose G.; Dent, Andrew; Fadiel, Ahmed; Perry, Theresa; Tolk, Chris; Tcheng, James E.; Eisenstein, Eric L.

2012-01-01

Background New data management models are emerging in multi-center clinical studies. We evaluated the incremental costs associated with decentralized vs. centralized models. Methods We developed clinical research network economic models to evaluate three data management models: centralized, decentralized with local software, and decentralized with shared database. Descriptive information from three clinical research studies served as inputs for these models. Main Outcome Measures The primary outcome was total data management costs. Secondary outcomes included: data management costs for sites, local data centers, and central coordinating centers. Results Both decentralized models were more costly than the centralized model for each clinical research study: the decentralized with local software model was the most expensive. Decreasing the number of local data centers and case book pages reduced cost differentials between models. Conclusion Decentralized vs. centralized data management in multi-center clinical research studies is associated with increases in data management costs. PMID:21335692

Summary and Agreement Statement of the First International Conference on Concussion in Sport, Vienna 2001.

ERIC Educational Resources Information Center

Aubry, Mark; Cantu, Robert; Dvorak, Jiri; Graf-Baumann, Toni; Johnston, Karen; Kelly, James; Lovell, Mark; McCrory, Paul; Meeuwisse, Willem; Schamasch, Patrick

2002-01-01

An international group of concussion experts met in 2001 to discuss the most recent research and findings and to establish guidelines for clinical practice. They addressed such issues as epidemiology, basic and clinical science, grading systems, cognitive assessment, new research methods, protective equipment, management, prevention, and long-term…

TMS-EEG: From basic research to clinical applications

NASA Astrophysics Data System (ADS)

Hernandez-Pavon, Julio C.; Sarvas, Jukka; Ilmoniemi, Risto J.

2014-11-01

Transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) is a powerful technique for non-invasively studying cortical excitability and connectivity. The combination of TMS and EEG has widely been used to perform basic research and recently has gained importance in different clinical applications. In this paper, we will describe the physical and biological principles of TMS-EEG and different applications in basic research and clinical applications. We will present methods based on independent component analysis (ICA) for studying the TMS-evoked EEG responses. These methods have the capability to remove and suppress large artifacts, making it feasible, for instance, to study language areas with TMS-EEG. We will discuss the different applications and limitations of TMS and TMS-EEG in clinical applications. Potential applications of TMS are presented, for instance in neurosurgical planning, depression and other neurological disorders. Advantages and disadvantages of TMS-EEG and its variants such as repetitive TMS (rTMS) are discussed in comparison to other brain stimulation and neuroimaging techniques. Finally, challenges that researchers face when using this technique will be summarized.

Graduate Education for the Future: New Models and Methods for the Clinical and Translational Workforce

PubMed Central

Bennett, L. Michelle; Cicutto, Lisa; Gadlin, Howard; Moss, Marc; Tentler, John; Schoenbaum, Ellie

2015-01-01

Abstract This paper is the third in a five‐part series on the clinical and translational science educational pipeline, and it focuses on strategies for enhancing graduate research education to improve skills for interdisciplinary team science. Although some of the most cutting edge science takes place at the borders between disciplines, it is widely perceived that advancements in clinical and translational science are hindered by the “siloed” efforts of researchers who are comfortable working in their separate domains, and reluctant to stray from their own discipline when conducting research. Without appropriate preparation for career success as members and leaders of interdisciplinary teams, talented scientists may choose to remain siloed or to leave careers in clinical and translational science all together, weakening the pipeline and depleting the future biomedical research workforce. To address this threat, it is critical to begin at what is perhaps the most formative moment for academics: graduate training. This paper focuses on designs for graduate education, and contrasts the methods and outcomes from traditional educational approaches with those skills perceived as essential for the workforce of the future, including the capacity for research collaboration that crosses disciplinary boundaries. PMID:26643714

A Novel Patient Recruitment Strategy: Patient Selection Directly from the Community through Linkage to Clinical Data.

PubMed

Zimmerman, Lindsay P; Goel, Satyender; Sathar, Shazia; Gladfelter, Charon E; Onate, Alejandra; Kane, Lindsey L; Sital, Shelly; Phua, Jasmin; Davis, Paris; Margellos-Anast, Helen; Meltzer, David O; Polonsky, Tamar S; Shah, Raj C; Trick, William E; Ahmad, Faraz S; Kho, Abel N

2018-01-01

This article presents and describes our methods in developing a novel strategy for recruitment of underrepresented, community-based participants, for pragmatic research studies leveraging routinely collected electronic health record (EHR) data. We designed a new approach for recruiting eligible patients from the community, while also leveraging affiliated health systems to extract clinical data for community participants. The strategy involves methods for data collection, linkage, and tracking. In this workflow, potential participants are identified in the community and surveyed regarding eligibility. These data are then encrypted and deidentified via a hashing algorithm for linkage of the community participant back to a record at a clinical site. The linkage allows for eligibility verification and automated follow-up. Longitudinal data are collected by querying the EHR data and surveying the community participant directly. We discuss this strategy within the context of two national research projects, a clinical trial and an observational cohort study. The community-based recruitment strategy is a novel, low-touch, clinical trial enrollment method to engage a diverse set of participants. Direct outreach to community participants, while utilizing EHR data for clinical information and follow-up, allows for efficient recruitment and follow-up strategies. This new strategy for recruitment links data reported from community participants to clinical data in the EHR and allows for eligibility verification and automated follow-up. The workflow has the potential to improve recruitment efficiency and engage traditionally underrepresented individuals in research. Schattauer GmbH Stuttgart.

Global regulatory developments for clinical stem cell research: diversification and challenges to collaborations.

PubMed

Rosemann, Achim; Bortz, Gabriela; Vasen, Federico; Sleeboom-Faulkner, Margaret

2016-10-01

In this article, we explore regulatory developments in stem cell medicine in seven jurisdictions: Japan, China, India, Argentina, Brazil, the USA and the EU. We will show that the research methods, ethical standards and approval procedures for the market use of clinical stem cell interventions are undergoing an important process of global diversification. We will discuss the implications of this process for international harmonization and the conduct of multicountry clinical research collaborations. It will become clear that the increasing heterogeneity of research standards and regulations in the stem cell field presents a significant challenge to international clinical trial partnerships, especially with countries that diverge from the regulatory models that have been developed in the USA and the EU.

Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies.

PubMed

Boulesteix, Anne-Laure; Wilson, Rory; Hapfelmeier, Alexander

2017-09-09

The goal of medical research is to develop interventions that are in some sense superior, with respect to patient outcome, to interventions currently in use. Similarly, the goal of research in methodological computational statistics is to develop data analysis tools that are themselves superior to the existing tools. The methodology of the evaluation of medical interventions continues to be discussed extensively in the literature and it is now well accepted that medicine should be at least partly "evidence-based". Although we statisticians are convinced of the importance of unbiased, well-thought-out study designs and evidence-based approaches in the context of clinical research, we tend to ignore these principles when designing our own studies for evaluating statistical methods in the context of our methodological research. In this paper, we draw an analogy between clinical trials and real-data-based benchmarking experiments in methodological statistical science, with datasets playing the role of patients and methods playing the role of medical interventions. Through this analogy, we suggest directions for improvement in the design and interpretation of studies which use real data to evaluate statistical methods, in particular with respect to dataset inclusion criteria and the reduction of various forms of bias. More generally, we discuss the concept of "evidence-based" statistical research, its limitations and its impact on the design and interpretation of real-data-based benchmark experiments. We suggest that benchmark studies-a method of assessment of statistical methods using real-world datasets-might benefit from adopting (some) concepts from evidence-based medicine towards the goal of more evidence-based statistical research.

Auditory processing theories of language disorders: past, present, and future.

PubMed

Miller, Carol A

2011-07-01

The purpose of this article is to provide information that will assist readers in understanding and interpreting research literature on the role of auditory processing in communication disorders. A narrative review was used to summarize and synthesize the literature on auditory processing deficits in children with auditory processing disorder (APD), specific language impairment (SLI), and dyslexia. The history of auditory processing theories of these 3 disorders is described, points of convergence and controversy within and among the different branches of research literature are considered, and the influence of research on practice is discussed. The theoretical and clinical contributions of neurophysiological methods are also reviewed, and suggested approaches for critical reading of the research literature are provided. Research on the role of auditory processing in communication disorders springs from a variety of theoretical perspectives and assumptions, and this variety, combined with controversies over the interpretation of research results, makes it difficult to draw clinical implications from the literature. Neurophysiological research methods are a promising route to better understanding of auditory processing. Progress in theory development and its clinical application is most likely to be made when researchers from different disciplines and theoretical perspectives communicate clearly and combine the strengths of their approaches.

A translation table for patient-centered comparative effectiveness research: guidance to improve the value of research for clinical and health policy decision-making.

PubMed

Tunis, Sean R; Messner, Donna A; Mohr, Penny; Gliklich, Richard E; Dubois, Robert W

2012-05-01

This article provides background and context for a series of papers stemming from a collaborative effort by Outcome Sciences, Inc., the National Pharmaceutical Council and the Center for Medical Technology Policy to use a stakeholder-driven process to develop a decision tool to select appropriate methods for comparative effectiveness research. The perceived need and origins of the 'translation table' concept for method selection are described and the legislative history and role of the Patient-Centered Outcomes Research Institute are reviewed. The article concludes by stressing the significance of this effort for future health services and clinical research, and the importance of consulting end-users--patients, providers, payers and policy-makers--in the process of defining research questions and approaches to them.

Pseudonymisation of radiology data for research purposes

NASA Astrophysics Data System (ADS)

Noumeir, Rita; Lemay, Alain; Lina, Jean-Marc

2005-04-01

Medical image processing methods and algorithms, developed by researchers, need to be validated and tested. Test data should ideally be real clinical data especially when that clinical data is varied and exists in large volume. In nowadays, clinical data is accessible electronically and has important value for researchers. However, the usage of clinical data for research purposes should respect data confidentiality, patient right to privacy and the patient consent. In fact, clinical data is nominative given that it contains information about the patient such as name, age and identification number. Evidently, clinical data should be de-identified to be exported to research databases. However, the same patient is usually followed during a long period of time. The disease progression and the diagnostic evolution represent extremely valuable information for researchers, as well. Our objective is to build a research database from de-identified clinical data while enabling the database to be easily incremented by exporting new pseudonymous data, acquired over a long period of time. Pseudonymisation is data de-identification such that data belonging to the same individual in the clinical environment bear the same relation to each other in the de-identified research version. In this paper, we propose a software architecture that enables the implementation of a research database that can be incremented in time. We also evaluate its security and discuss its security pitfalls.

Clinical Summarization Capabilities of Commercially-available and Internally-developed Electronic Health Records

PubMed Central

Laxmisan, A.; McCoy, A.B.; Wright, A.; Sittig, D.F.

2012-01-01

Objective Clinical summarization, the process by which relevant patient information is electronically summarized and presented at the point of care, is of increasing importance given the increasing volume of clinical data in electronic health record systems (EHRs). There is a paucity of research on electronic clinical summarization, including the capabilities of currently available EHR systems. Methods We compared different aspects of general clinical summary screens used in twelve different EHR systems using a previously described conceptual model: AORTIS (Aggregation, Organization, Reduction, Interpretation and Synthesis). Results We found a wide variation in the EHRs’ summarization capabilities: all systems were capable of simple aggregation and organization of limited clinical content, but only one demonstrated an ability to synthesize information from the data. Conclusion Improvement of the clinical summary screen functionality for currently available EHRs is necessary. Further research should identify strategies and methods for creating easy to use, well-designed clinical summary screens that aggregate, organize and reduce all pertinent patient information as well as provide clinical interpretations and synthesis as required. PMID:22468161

The influence of digital filter type, amplitude normalisation method, and co-contraction algorithm on clinically relevant surface electromyography data during clinical movement assessments.

PubMed

Devaprakash, Daniel; Weir, Gillian J; Dunne, James J; Alderson, Jacqueline A; Donnelly, Cyril J

2016-12-01

There is a large and growing body of surface electromyography (sEMG) research using laboratory-specific signal processing procedures (i.e., digital filter type and amplitude normalisation protocols) and data analyses methods (i.e., co-contraction algorithms) to acquire practically meaningful information from these data. As a result, the ability to compare sEMG results between studies is, and continues to be challenging. The aim of this study was to determine if digital filter type, amplitude normalisation method, and co-contraction algorithm could influence the practical or clinical interpretation of processed sEMG data. Sixteen elite female athletes were recruited. During data collection, sEMG data was recorded from nine lower limb muscles while completing a series of calibration and clinical movement assessment trials (running and sidestepping). Three analyses were conducted: (1) signal processing with two different digital filter types (Butterworth or critically damped), (2) three amplitude normalisation methods, and (3) three co-contraction ratio algorithms. Results showed the choice of digital filter did not influence the clinical interpretation of sEMG; however, choice of amplitude normalisation method and co-contraction algorithm did influence the clinical interpretation of the running and sidestepping task. Care is recommended when choosing amplitude normalisation method and co-contraction algorithms if researchers/clinicians are interested in comparing sEMG data between studies. Copyright © 2016 Elsevier Ltd. All rights reserved.

[Thinking on designation of sham acupuncture in clinical research].

PubMed

Pan, Li-Jia; Chen, Bo; Zhao, Xue; Guo, Yi

2014-01-01

Randomized controlled trials (RCT) is the source of the raw data of evidence-based medicine. Blind method is adopted in most of the high-quality RCT. Sham acupuncture is the main form of blinded in acupuncture clinical trial. In order to improve the quality of acupuncture clinical trail, based on the necessity of sham acupuncture in clinical research, the current situation as well as the existing problems of sham acupuncture, suggestions were put forward from the aspects of new way and new designation method which can be adopted as reference, and factors which have to be considered during the process of implementing. Various subjective and objective factors involving in the process of trial should be considered, and used of the current international standards, try to be quantification, and carry out strict quality monitoring.

Micrometastases in neuroblastoma: are they clinically important?

PubMed Central

Burchill, S A

2004-01-01

Despite advances in the treatment of neuroblastoma (NBL), recurrence and metastases continue to pose major problems in clinical management. The relation between micrometastases and the development of secondary disease is not fully understood. However, accurate methods to detect low numbers of tumour cells may allow the evaluation of their role in the disease process, and by implication the possible benefits of eliminating them. Although there is substantial evidence for the increased sensitivity of current molecular methods for the detection of NBL cells compared with more conventional cytology, the clinical relevance and usefulness of detecting this disease remain controversial. The primary goal of current translational research must be to evaluate the clinical relevance of micrometastatic disease detected by these methods in multicentre prospective clinical outcome studies. Only then can the clinical usefulness of these methods be defined so that they may be introduced into relevant clinical practice. PMID:14693828

From information technology to informatics: the information revolution in dental education.

PubMed

Schleyer, Titus K; Thyvalikakath, Thankam P; Spallek, Heiko; Dziabiak, Michael P; Johnson, Lynn A

2012-01-01

The capabilities of information technology (IT) have advanced precipitously in the last fifty years. Many of these advances have enabled new and beneficial applications of IT in dental education. However, conceptually, IT use in dental schools is only in its infancy. Challenges and opportunities abound for improving how we support clinical care, education, and research with IT. In clinical care, we need to move electronic dental records beyond replicating paper, connect information on oral health to that on systemic health, facilitate collaborative care through teledentistry, and help clinicians apply evidence-based dentistry and preventive management strategies. With respect to education, we should adopt an evidence-based approach to IT use for teaching and learning, share effective educational content and methods, leverage technology-mediated changes in the balance of power between faculty and students, improve technology support for clinical teaching, and build an information infrastructure centered on learners and organizations. In research, opportunities include reusing clinical care data for research studies, helping advance computational methods for research, applying generalizable research tools in dentistry, and reusing research data and scientific workflows. In the process, we transition from a focus on IT-the mere technical aspects of applying computer technology-to one on informatics: the what, how, and why of managing information.

From Information Technology to Informatics: The Information Revolution in Dental Education

PubMed Central

Schleyer, Titus K.; Thyvalikakath, Thankam P.; Spallek, Heiko; Dziabiak, Michael P.; Johnson, Lynn A.

2014-01-01

The capabilities of information technology (IT) have advanced precipitously in the last fifty years. Many of these advances have enabled new and beneficial applications of IT in dental education. However, conceptually, IT use in dental schools is only in its infancy. Challenges and opportunities abound for improving how we support clinical care, education, and research with IT. In clinical care, we need to move electronic dental records beyond replicating paper, connect information on oral health to that on systemic health, facilitate collaborative care through teledentistry, and help clinicians apply evidence-based dentistry and preventive management strategies. With respect to education, we should adopt an evidence-based approach to IT use for teaching and learning, share effective educational content and methods, leverage technology-mediated changes in the balance of power between faculty and students, improve technology support for clinical teaching, and build an information infrastructure centered on learners and organizations. In research, opportunities include reusing clinical care data for research studies, helping advance computational methods for research, applying generalizable research tools in dentistry, and reusing research data and scientific workflows. In the process, we transition from a focus on IT—the mere technical aspects of applying computer technology—to one on informatics: the what, how, and why of managing information. PMID:22262557

Assessment of Translational and Interdisciplinary Clinical Research at an Oklahoma Health Sciences Center

PubMed Central

Dao, Hanh Dung; Kota, Pravina; James, Judith A.; Stoner, Julie A.; Akins, Darrin R.

2015-01-01

Purpose In response to National Institutes of Health initiatives to improve translation of basic science discoveries we surveyed faculty to assess patterns of and barriers to translational research in Oklahoma. Methods An online survey was administered to University of Oklahoma Health Sciences Center, College of Medicine faculty, which included demographic and research questions. Results Responses were received from 126 faculty members (24%). Two-thirds spent ≥20% time on research; among these, 90% conduct clinical and translational research. Identifying funding; recruiting research staff and participants; preparing reports and agreements; and protecting research time were commonly perceived as at least moderate barriers to conducting research. While respondents largely collaborated within their discipline, clinical investigators were more likely than basic science investigators to engage in interdisciplinary research. Conclusion While engagement in translational research is common, specific barriers impact the research process. This could be improved through an expanded interdisciplinary collaboration and research support structure. PMID:26242016

Interpretation of correlations in clinical research.

PubMed

Hung, Man; Bounsanga, Jerry; Voss, Maren Wright

2017-11-01

Critically analyzing research is a key skill in evidence-based practice and requires knowledge of research methods, results interpretation, and applications, all of which rely on a foundation based in statistics. Evidence-based practice makes high demands on trained medical professionals to interpret an ever-expanding array of research evidence. As clinical training emphasizes medical care rather than statistics, it is useful to review the basics of statistical methods and what they mean for interpreting clinical studies. We reviewed the basic concepts of correlational associations, violations of normality, unobserved variable bias, sample size, and alpha inflation. The foundations of causal inference were discussed and sound statistical analyses were examined. We discuss four ways in which correlational analysis is misused, including causal inference overreach, over-reliance on significance, alpha inflation, and sample size bias. Recent published studies in the medical field provide evidence of causal assertion overreach drawn from correlational findings. The findings present a primer on the assumptions and nature of correlational methods of analysis and urge clinicians to exercise appropriate caution as they critically analyze the evidence before them and evaluate evidence that supports practice. Critically analyzing new evidence requires statistical knowledge in addition to clinical knowledge. Studies can overstate relationships, expressing causal assertions when only correlational evidence is available. Failure to account for the effect of sample size in the analyses tends to overstate the importance of predictive variables. It is important not to overemphasize the statistical significance without consideration of effect size and whether differences could be considered clinically meaningful.

Integrating Research Into Clinical Internship Training Bridging the Science/Practice Gap in Pediatric Psychology

PubMed Central

Spirito, Anthony

2012-01-01

Existing literature highlights a critical gap between science and practice in clinical psychology. The internship year is a “capstone experience”; training in methods of scientific evaluation should be integrated with the development of advanced clinical competencies. We provide a rationale for continued exposure to research during the clinical internship year, including, (a) critical examination and integration of the literature regarding evidence-based treatment and assessment, (b) participation in faculty-based and independent research, and (c) orientation to the science and strategy of grantsmanship. Participation in research provides exposure to new empirical models and can foster the development of applied research questions. Orientation to grantsmanship can yield an initial sense of the “business of science.” Internship provides an important opportunity to examine the challenges to integrating the clinical evidence base into professional practice; for that reason, providing research exposure on internship is an important strategy in training the next generation of pediatric psychologists. PMID:22286345

Identifying emerging research collaborations and networks: method development.

PubMed

Dozier, Ann M; Martina, Camille A; O'Dell, Nicole L; Fogg, Thomas T; Lurie, Stephen J; Rubinstein, Eric P; Pearson, Thomas A

2014-03-01

Clinical and translational research is a multidisciplinary, collaborative team process. To evaluate this process, we developed a method to document emerging research networks and collaborations in our medical center to describe their productivity and viability over time. Using an e-mail survey, sent to 1,620 clinical and basic science full- and part-time faculty members, respondents identified their research collaborators. Initial analyses, using Pajek software, assessed the feasibility of using social network analysis (SNA) methods with these data. Nearly 400 respondents identified 1,594 collaborators across 28 medical center departments resulting in 309 networks with 5 or more collaborators. This low-burden approach yielded a rich data set useful for evaluation using SNA to: (a) assess networks at several levels of the organization, including intrapersonal (individuals), interpersonal (social), organizational/institutional leadership (tenure and promotion), and physical/environmental (spatial proximity) and (b) link with other data to assess the evolution of these networks.

A conceptual model for generating and validating in-session clinical judgments

PubMed Central

Jacinto, Sofia B.; Lewis, Cara C.; Braga, João N.; Scott, Kelli

2016-01-01

Objective Little attention has been paid to the nuanced and complex decisions made in the clinical session context and how these decisions influence therapy effectiveness. Despite decades of research on the dual-processing systems, it remains unclear when and how intuitive and analytical reasoning influence the direction of the clinical session. Method This paper puts forth a testable conceptual model, guided by an interdisciplinary integration of the literature, that posits that the clinical session context moderates the use of intuitive versus analytical reasoning. Results A synthesis of studies examining professional best practices in clinical decision-making, empirical evidence from clinical judgment research, and the application of decision science theories indicate that intuitive and analytical reasoning may have profoundly different impacts on clinical practice and outcomes. Conclusions The proposed model is discussed with respect to its implications for clinical practice and future research. PMID:27088962

Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink

PubMed Central

Olier, Ivan; Springate, David A.; Ashcroft, Darren M.; Doran, Tim; Reeves, David; Planner, Claire; Reilly, Siobhan; Kontopantelis, Evangelos

2016-01-01

Background The use of Electronic Health Records databases for medical research has become mainstream. In the UK, increasing use of Primary Care Databases is largely driven by almost complete computerisation and uniform standards within the National Health Service. Electronic Health Records research often begins with the development of a list of clinical codes with which to identify cases with a specific condition. We present a methodology and accompanying Stata and R commands (pcdsearch/Rpcdsearch) to help researchers in this task. We present severe mental illness as an example. Methods We used the Clinical Practice Research Datalink, a UK Primary Care Database in which clinical information is largely organised using Read codes, a hierarchical clinical coding system. Pcdsearch is used to identify potentially relevant clinical codes and/or product codes from word-stubs and code-stubs suggested by clinicians. The returned code-lists are reviewed and codes relevant to the condition of interest are selected. The final code-list is then used to identify patients. Results We identified 270 Read codes linked to SMI and used them to identify cases in the database. We observed that our approach identified cases that would have been missed with a simpler approach using SMI registers defined within the UK Quality and Outcomes Framework. Conclusion We described a framework for researchers of Electronic Health Records databases, for identifying patients with a particular condition or matching certain clinical criteria. The method is invariant to coding system or database and can be used with SNOMED CT, ICD or other medical classification code-lists. PMID:26918439

Involving children and young people in clinical research through the forum of a European Young Persons' Advisory Group: needs and challenges.

PubMed

Gaillard, Segolene; Malik, Salma; Preston, Jenny; Escalera, Begonya Nafria; Dicks, Pamela; Touil, Nathalie; Mardirossian, Sandrine; Claverol-Torres, Joana; Kassaï, Behrouz

2018-02-19

Children and young people are seen as fundamental to the design and delivery of clinical research as active and reflective participants. In Europe, involvement of children and young people in clinical research is promoted extensively in order to engage young people in research as partners and to give them a voice to raise their own issues or opinions and for their involvement in planning and decision making in addition to learning research skills. Children and young people can be trained in clinical research through participation in young person advisory groups (YPAGs). Members of YPAGs assist other children and young people to learn about clinical research and share their experience and point of view with researchers, thereby possibly influencing all phases of research including the development and prioritization of research questions, design and methods, recruitment plans, and strategies for results dissemination. In the long term, the expansion of YPAGs in Europe will serve as a driving force for refining pediatric clinical research. It will help in a better definition of research projects according to the patients' needs. Furthermore, direct engagement of children and young people in research will be favorable to both researchers and young people. © 2018 Société Française de Pharmacologie et de Thérapeutique.

Nurses' Lived Experience of Working with Nursing Students in Clinical Wards: a Phenomenological Study

PubMed Central

Parvan, Kobra; Shahbazi, Shahla; Ebrahimi, Hossein; Valizadeh, Susan; Rahmani, Azad; Jabbarzadeh Tabrizi, Faranak; Esmaili, Fariba

2018-01-01

Introduction: Despite being aware of the importance of nurses’ role in providing clinical training to nursing students, studies show that sufficient research has not yet been conducted on the experience of clinical nurses who are engaged in training nursing students outside their normal working hours. The present study aim to describe the experience of these nurses who are training outside their routine working hours. Methods: This study was conducted using descriptive-phenomenology method. Twelve nurses was participated in this research. Data were collected using purposive sampling method and face to face interviews based on nurses’ real life experience of students’ learning in clinical settings through answering open-ended questions. Spiegel burg analysis method was used to analyze the data. Results: The result of data analysis was the derivation of four themes and eight sub-themes. Themes included "nurses as teaching sources", "changes in the balance of doing routine tasks", "professional enthusiasm", and "nurses as students' professional socialization source of inspiration". Sub-themes included "efficient education", "poor education", "support", "interference in the role," "self-efficacy development", "inner satisfaction", "positive imaging" and "being a model". Conclusion: It is necessary that academic centers plan for teaching nurses working on a contractual basis in the field of the evaluation method and various methods of teaching. The findings also suggested the development of individual self-efficacy in clinical nurses who train students. PMID:29637056

Number needed to benefit from information (NNBI): proposal from a mixed methods research study with practicing family physicians.

PubMed

Pluye, Pierre; Grad, Roland M; Johnson-Lafleur, Janique; Granikov, Vera; Shulha, Michael; Marlow, Bernard; Ricarte, Ivan Luiz Marques

2013-01-01

We wanted to describe family physicians' use of information from an electronic knowledge resource for answering clinical questions, and their perception of subsequent patient health outcomes; and to estimate the number needed to benefit from information (NNBI), defined as the number of patients for whom clinical information was retrieved for 1 to benefit. We undertook a mixed methods research study, combining quantitative longitudinal and qualitative research studies. Participants were 41 family physicians from primary care clinics across Canada. Physicians were given access to 1 electronic knowledge resource on handheld computer in 2008-2009. For the outcome assessment, participants rated their searches using a validated method. Rated searches were examined during interviews guided by log reports that included ratings. Cases were defined as clearly described searches where clinical information was used for a specific patient. For each case, interviewees described information-related patient health outcomes. For the mixed methods data analysis, quantitative and qualitative data were merged into clinical vignettes (each vignette describing a case). We then estimated the NNBI. In 715 of 1,193 searches for information conducted during an average of 86 days, the search objective was directly linked to a patient. Of those searches, 188 were considered to be cases. In 53 cases, participants associated the use of information with at least 1 patient health benefit. This finding suggested an NNBI of 14 (715/53). The NNBI may be used in further experimental research to compare electronic knowledge resources. A low NNBI can encourage clinicians to search for information more frequently. If all searches had benefits, the NNBI would be 1. In addition to patient benefits, learning and knowledge reinforcement outcomes are frequently reported.

Biomagnetism using SQUIDs: status and perspectives

NASA Astrophysics Data System (ADS)

Sternickel, Karsten; Braginski, Alex I.

2006-03-01

Biomagnetism involves the measurement and analysis of very weak local magnetic fields of living organisms and various organs in humans. Such fields can be of physiological origin or due to magnetic impurities or markers. This paper reviews existing and prospective applications of biomagnetism in clinical research and medical diagnostics. Currently, such applications require sensitive magnetic SQUID sensors and amplifiers. The practicality of biomagnetic methods depends especially on techniques for suppressing the dominant environmental electromagnetic noise, and on suitable nearly real-time data processing and interpretation methods. Of the many biomagnetic methods and applications, only the functional studies of the human brain (magnetoencephalography) and liver susceptometry are in clinical use, while functional diagnostics of the human heart (magnetocardiography) approaches the threshold of clinical acceptance. Particularly promising for the future is the ongoing research into low-field magnetic resonance anatomical imaging using SQUIDs.

Clinician-Scientists in Canada: Barriers to Career Entry and Progress

PubMed Central

Lander, Bryn; Hanley, Gillian E.; Atkinson-Grosjean, Janet

2010-01-01

Background Clinician-scientists play an important role in translating between research and clinical practice. Significant concerns about a decline in their numbers have been raised. Potential barriers for career entry and progress are explored in this study. Methods Case-study research methods were used to identify barriers perceived by clinician-scientists and their research teams in two Canadian laboratories. These perceptions were then compared against statistical analysis of data from Canadian Institutes of Health Research (CIHR) databases on grant and award performance of clinician-scientists and non-clinical PhDs for fiscal years 2000 to 2008. Results Three main barriers were identified through qualitative analysis: research training, research salaries, and research grants. We then looked for evidence of these barriers in the Canada-wide statistical dataset for our study period. Clinician-scientists had a small but statistically significant higher mean number of degrees (3.3) than non-clinical scientists (3.2), potentially confirming the perception of longer training times. But evidence of the other two barriers was equivocal. For example, while overall growth in salary awards was minimal, awards to clinician-scientists increased by 45% compared to 6.3% for non-clinical PhDs. Similarly, in terms of research funding, awards to clinician-scientists increased by more than 25% compared with 5% for non-clinical PhDs. However, clinician-scientist-led grants funded under CIHR's Clinical thematic area decreased significantly from 61% to 51% (p-value<0.001) suggesting that clinician-scientists may be shifting their attention to other research domains. Conclusion While clinician-scientists continue to perceive barriers to career entry and progress, quantitative results suggest improvements over the last decade. Clinician-scientists are awarded an increasing proportion of CIHR research grants and salary awards. Given the translational importance of this group, however, it may be prudent to adopt specific policy and funding incentives to ensure the ongoing viability of the career path. PMID:20957175

Identifying Culturally Competent Clinical Skills in Speech-Language Pathologists in the Central Valley of California

ERIC Educational Resources Information Center

Maul, Christine A.

2010-01-01

The purpose of this research was to identify specific clinical skills in speech-language pathologists (SLPs) that may constitute cultural competency, a term which currently lacks operational definition. Through qualitative interview methods, the following research questions were addressed: (1) What dominant themes, if any, can be found in SLPs'…

A Tutorial on Multiblock Discriminant Correspondence Analysis (MUDICA): A New Method for Analyzing Discourse Data from Clinical Populations

ERIC Educational Resources Information Center

Williams, Lynne J.; Abdi, Herve; French, Rebecca; Orange, Joseph B.

2010-01-01

Purpose: In communication disorders research, clinical groups are frequently described based on patterns of performance, but researchers often study only a few participants described by many quantitative and qualitative variables. These data are difficult to handle with standard inferential tools (e.g., analysis of variance or factor analysis)…

Data Mining and Domain Knowledge: An Exploration of Methods to Advance Medical Research

ERIC Educational Resources Information Center

Engle, Kelley M.

2013-01-01

Researchers in the medical domain consider the double-blind placebo controlled clinical trial the gold standard. The data for these clinical trials are collected for a specifically defined hypothesis and there is very little in the realm of secondary data analyses conducted. The underlying purpose of this work is to demonstrate the value and…

Magnetic resonance neurography and diffusion tensor imaging: origins, history, and clinical impact of the first 50,000 cases with an assessment of efficacy and utility in a prospective 5000-patient study group.

PubMed

Filler, Aaron

2009-10-01

Methods were invented that made it possible to image peripheral nerves in the body and to image neural tracts in the brain. The history, physical basis, and dyadic tensor concept underlying the methods are reviewed. Over a 15-year period, these techniques-magnetic resonance neurography (MRN) and diffusion tensor imaging-were deployed in the clinical and research community in more than 2500 published research reports and applied to approximately 50,000 patients. Within this group, approximately 5000 patients having MRN were carefully tracked on a prospective basis. A uniform Neurography imaging methodology was applied in the study group, and all images were reviewed and registered by referral source, clinical indication, efficacy of imaging, and quality. Various classes of image findings were identified and subjected to a variety of small targeted prospective outcome studies. Those findings demonstrated to be clinically significant were then tracked in the larger clinical volume data set. MRN demonstrates mechanical distortion of nerves, hyperintensity consistent with nerve irritation, nerve swelling, discontinuity, relations of nerves to masses, and image features revealing distortion of nerves at entrapment points. These findings are often clinically relevant and warrant full consideration in the diagnostic process. They result in specific pathological diagnoses that are comparable to electrodiagnostic testing in clinical efficacy. A review of clinical outcome studies with diffusion tensor imaging also shows convincing utility. MRN and diffusion tensor imaging neural tract imaging have been validated as indispensable clinical diagnostic methods that provide reliable anatomic pathological information. There is no alternative diagnostic method in many situations. With the elapsing of 15 years, tens of thousands of imaging studies, and thousands of publications, these methods should no longer be considered experimental.

Automation in an Addiction Treatment Research Clinic: Computerized Contingency Management, Ecological Momentary Assessment, and a Protocol Workflow System

PubMed Central

Vahabzadeh, Massoud; Lin, Jia-Ling; Mezghanni, Mustapha; Epstein, David H.; Preston, Kenzie L.

2009-01-01

Issues A challenge in treatment research is the necessity of adhering to protocol and regulatory strictures while maintaining flexibility to meet patients’ treatment needs and accommodate variations among protocols. Another challenge is the acquisition of large amounts of data in an occasionally hectic environment, along with provision of seamless methods for exporting, mining, and querying the data. Approach We have automated several major functions of our outpatient treatment research clinic for studies in drug abuse and dependence. Here we describe three such specialized applications: the Automated Contingency Management (ACM) system for delivery of behavioral interventions, the Transactional Electronic Diary (TED) system for management of behavioral assessments, and the Protocol Workflow System (PWS) for computerized workflow automation and guidance of each participant’s daily clinic activities. These modules are integrated into our larger information system to enable data sharing in real time among authorized staff. Key Findings ACM and TED have each permitted us to conduct research that was not previously possible. In addition, the time to data analysis at the end of each study is substantially shorter. With the implementation of the PWS, we have been able to manage a research clinic with an 80-patient capacity having an annual average of 18,000 patient-visits and 7,300 urine collections with a research staff of five. Finally, automated data management has considerably enhanced our ability to monitor and summarize participant-safety data for research oversight. Implications and conclusion When developed in consultation with end users, automation in treatment-research clinics can enable more efficient operations, better communication among staff, and expansions in research methods. PMID:19320669

The state of rehabilitation research: art or science?

PubMed

Tate, Denise G

2006-02-01

Rehabilitation research has been criticized as not standing up enough to the rigors of scientific method to be called "science." The field has been portrayed as slow to promote its scientific achievements and to include them under the rubric of evidence-based rehabilitation. Following in the footsteps of psychology, rehabilitation as a broad-based discipline has faced many similar obstacles in achieving scientific status. Controversy exists about what exactly constitutes rehabilitation science versus its art and its respective multidisciplinary domains. The conception of these domains is directly related to current methods available to assess the state of the discipline and its research accomplishments. I used quantitative methods, such as randomized clinical and/or controlled trials (RCTs) and systematic reviews, to assess the status of rehabilitation research. Findings suggest that, as a field, rehabilitation makes significant contributions to science, measurable by the number and quality of RCTs and systematic reviews conducted so far on topics of critical importance for clinical care. In "artful" complement, qualitative approaches can be used as research tools to aid investigators in seeking knowledge beyond that obtained by quantitative methods, assessing many complexities associated with the various contexts of rehabilitation research. Other requirements to develop a common vision of rehabilitation science are also discussed.

Shared decision-making – transferring research into practice: the Analytic Hierarchy Process (AHP)

PubMed Central

Dolan, James G.

2008-01-01

Objective To illustrate how the Analytic Hierarchy Process (AHP) can be used to promote shared decision-making and enhance clinician-patient communication. Methods Tutorial review. Results The AHP promotes shared decision making by creating a framework that is used to define the decision, summarize the information available, prioritize information needs, elicit preferences and values, and foster meaningful communication among decision stakeholders. Conclusions The AHP and related multi-criteria methods have the potential for improving the quality of clinical decisions and overcoming current barriers to implementing shared decision making in busy clinical settings. Further research is needed to determine the best way to implement these tools and to determine their effectiveness. Practice Implications Many clinical decisions involve preference-based trade-offs between competing risks and benefits. The AHP is a well-developed method that provides a practical approach for improving patient-provider communication, clinical decision-making, and the quality of patient care in these situations. PMID:18760559

Understanding facilitators and barriers to reengineering the clinical research enterprise in community-based practice settings.

PubMed

Kukafka, Rita; Allegrante, John P; Khan, Sharib; Bigger, J Thomas; Johnson, Stephen B

2013-09-01

Solutions are employed to support clinical research trial tasks in community-based practice settings. Using the IT Implementation Framework (ITIF), an integrative framework intended to guide the synthesis of theoretical perspectives for planning multi-level interventions to enhance IT use, we sought to understand the barriers and facilitators to clinical research in community-based practice settings preliminary to implementing new informatics solutions for improving clinical research infrastructure. The studies were conducted in practices within the Columbia University Clinical Trials Network. A mixed-method approach, including surveys, interviews, time-motion studies, and observations was used. The data collected, which incorporates predisposing, enabling, and reinforcing factors in IT use, were analyzed according to each phase of ITIF. Themes identified in the first phase of ITIF were 1) processes and tools to support clinical trial research and 2) clinical research peripheral to patient care processes. Not all of the problems under these themes were found to be amenable to IT solutions. Using the multi-level orientation of the ITIF, we set forth strategies beyond IT solutions that can have an impact on reengineering clinical research tasks in practice-based settings. Developing strategies to target enabling and reinforcing factors, which focus on organizational factors, and the motivation of the practice at large to use IT solutions to integrate clinical research tasks with patient care processes, is most challenging. The ITIF should be used to consider both IT and non-IT solutions concurrently for reengineering of clinical research in community-based practice settings. © 2013.

Clinical Research Careers: Reports from a NHLBI Pediatric Heart Network Clinical Research Skills Development Conference

PubMed Central

Lai, Wyman W.; Richmond, Marc; Li, Jennifer S.; Saul, J. Philip; Mital, Seema; Colan, Steven D.; Newburger, Jane W.; Sleeper, Lynn A.; McCrindle, Brain W.; Minich, L. LuAnn; Goldmuntz, Elizabeth; Marino, Bradley S.; Williams, Ismee A.; Pearson, Gail D.; Evans, Frank; Scott, Jane D.; Cohen, Meryl S.

2013-01-01

Background Wyman W. Lai, MD, MPH, and Victoria L. Vetter, MD, MPH. The Pediatric Heart Network (PHN), funded under the U.S. National Institutes of Health-National Heart, Lung, and Blood Institute (NIH–NHLBI), includes two Clinical Research Skills Development (CRSD) Cores, which were awarded to The Children's Hospital of Philadelphia and to the Morgan Stanley Children's Hospital of New York–Presbyterian. To provide information on how to develop a clinical research career to a larger number of potential young investigators in pediatric cardiology, the directors of these two CRSD Cores jointly organized a one-day seminar for fellows and junior faculty from all of the PHN Core sites. The participants included faculty members from the PHN and the NHLBI. The day-long seminar was held on April 29, 2009, at the NHLBI site, immediately preceding the PHN Steering Committee meeting in Bethesda, MD. Methods The goals of the seminar were 1) to provide fellows and early investigators with basic skills in clinical research 2) to provide a forum for discussion of important research career choices 3) to introduce attendees to each other and to established clinical researchers in pediatric cardiology, and 4) to publish a commentary on the future of clinical research in pediatric cardiology. Results The following chapters are compilations of the talks given at the 2009 PHN Clinical Research Skills Development Seminar, published to share the information provided with a broader audience of those interested in learning how to develop a clinical research career in pediatric cardiology. The discussions of types of clinical research, research skills, career development strategies, funding, and career management are applicable to research careers in other areas of clinical medicine as well. Conclusions The aim of this compilation is to stimulate those who might be interested in the research career options available to investigators. PMID:21167335

NCI's Clinical Proteomic Tumor Analysis Consortium 1st Annual Scientific Symposium | Office of Cancer Clinical Proteomics Research

Cancer.gov

On behalf of the National Cancer Institute and the Office of Cancer Clinical Proteomics Research, you are invited to the First Annual CPTAC Scientific Symposium on Wednesday, November 13, 2013. The purpose of this symposium, which consists of plenary and poster sessions, is for investigators from CPTAC community and beyond to share and discuss novel biological discoveries, analytical methods, and translational approaches using CPTAC data.

Some experiences and opportunities for big data in translational research.

PubMed

Chute, Christopher G; Ullman-Cullere, Mollie; Wood, Grant M; Lin, Simon M; He, Min; Pathak, Jyotishman

2013-10-01

Health care has become increasingly information intensive. The advent of genomic data, integrated into patient care, significantly accelerates the complexity and amount of clinical data. Translational research in the present day increasingly embraces new biomedical discovery in this data-intensive world, thus entering the domain of "big data." The Electronic Medical Records and Genomics consortium has taught us many lessons, while simultaneously advances in commodity computing methods enable the academic community to affordably manage and process big data. Although great promise can emerge from the adoption of big data methods and philosophy, the heterogeneity and complexity of clinical data, in particular, pose additional challenges for big data inferencing and clinical application. However, the ultimate comparability and consistency of heterogeneous clinical information sources can be enhanced by existing and emerging data standards, which promise to bring order to clinical data chaos. Meaningful Use data standards in particular have already simplified the task of identifying clinical phenotyping patterns in electronic health records.

Some experiences and opportunities for big data in translational research

PubMed Central

Chute, Christopher G.; Ullman-Cullere, Mollie; Wood, Grant M.; Lin, Simon M.; He, Min; Pathak, Jyotishman

2014-01-01

Health care has become increasingly information intensive. The advent of genomic data, integrated into patient care, significantly accelerates the complexity and amount of clinical data. Translational research in the present day increasingly embraces new biomedical discovery in this data-intensive world, thus entering the domain of “big data.” The Electronic Medical Records and Genomics consortium has taught us many lessons, while simultaneously advances in commodity computing methods enable the academic community to affordably manage and process big data. Although great promise can emerge from the adoption of big data methods and philosophy, the heterogeneity and complexity of clinical data, in particular, pose additional challenges for big data inferencing and clinical application. However, the ultimate comparability and consistency of heterogeneous clinical information sources can be enhanced by existing and emerging data standards, which promise to bring order to clinical data chaos. Meaningful Use data standards in particular have already simplified the task of identifying clinical phenotyping patterns in electronic health records. PMID:24008998

Observational Research Opportunities and Limitations

PubMed Central

Boyko, Edward J.

2013-01-01

Medical research continues to progress in its ability to identify treatments and characteristics associated with benefits and adverse outcomes. The principle engine for the evaluation of treatment efficacy is the randomized controlled trial (RCT). Due to the cost and other considerations, RCTs cannot address all clinically important decisions. Observational research often is used to address issues not addressed or not addressable by RCTs. This article provides an overview of the benefits and limitations of observational research to serve as a guide to the interpretation of this category of research designs in diabetes investigations. The potential for bias is higher in observational research but there are design and analysis features that can address these concerns although not completely eliminate them. Pharmacoepidemiologic research may provide important information regarding relative safety and effectiveness of diabetes pharmaceuticals. Such research must effectively address the important issue of confounding by indication in order to produce clinically meaningful results. Other methods such as instrumental variable analysis are being employed to enable stronger causal inference but these methods also require fulfillment of several key assumptions that may or may not be realistic. Nearly all clinical decisions involve probabilistic reasoning and confronting uncertainly, so a realistic goal for observational research may not be the high standard set by RCTs but instead the level of certainty needed to influence a diagnostic or treatment decision. PMID:24055326

Observational research--opportunities and limitations.

PubMed

Boyko, Edward J

2013-01-01

Medical research continues to progress in its ability to identify treatments and characteristics associated with benefits and adverse outcomes. The principal engine for the evaluation of treatment efficacy is the randomized controlled trial (RCT). Due to the cost and other considerations, RCTs cannot address all clinically important decisions. Observational research often is used to address issues not addressed or not addressable by RCTs. This article provides an overview of the benefits and limitations of observational research to serve as a guide to the interpretation of this category of research designs in diabetes investigations. The potential for bias is higher in observational research but there are design and analysis features that can address these concerns although not completely eliminate them. Pharmacoepidemiologic research may provide important information regarding relative safety and effectiveness of diabetes pharmaceuticals. Such research must effectively address the important issue of confounding by indication in order to produce clinically meaningful results. Other methods such as instrumental variable analysis are being employed to enable stronger causal inference but these methods also require fulfillment of several key assumptions that may or may not be realistic. Nearly all clinical decisions involve probabilistic reasoning and confronting uncertainly, so a realistic goal for observational research may not be the high standard set by RCTs but instead the level of certainty needed to influence a diagnostic or treatment decision. © 2013.

A systematic review of the quality of homeopathic clinical trials

PubMed Central

Jonas, Wayne B; Anderson, Rachel L; Crawford, Cindy C; Lyons, John S

2001-01-01

Background While a number of reviews of homeopathic clinical trials have been done, all have used methods dependent on allopathic diagnostic classifications foreign to homeopathic practice. In addition, no review has used established and validated quality criteria allowing direct comparison of the allopathic and homeopathic literature. Methods In a systematic review, we compared the quality of clinical-trial research in homeopathy to a sample of research on conventional therapies using a validated and system-neutral approach. All clinical trials on homeopathic treatments with parallel treatment groups published between 1945–1995 in English were selected. All were evaluated with an established set of 33 validity criteria previously validated on a broad range of health interventions across differing medical systems. Criteria covered statistical conclusion, internal, construct and external validity. Reliability of criteria application is greater than 0.95. Results 59 studies met the inclusion criteria. Of these, 79% were from peer-reviewed journals, 29% used a placebo control, 51% used random assignment, and 86% failed to consider potentially confounding variables. The main validity problems were in measurement where 96% did not report the proportion of subjects screened, and 64% did not report attrition rate. 17% of subjects dropped out in studies where this was reported. There was practically no replication of or overlap in the conditions studied and most studies were relatively small and done at a single-site. Compared to research on conventional therapies the overall quality of studies in homeopathy was worse and only slightly improved in more recent years. Conclusions Clinical homeopathic research is clearly in its infancy with most studies using poor sampling and measurement techniques, few subjects, single sites and no replication. Many of these problems are correctable even within a "holistic" paradigm given sufficient research expertise, support and methods. PMID:11801202

Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report

PubMed Central

Walicke, Patricia; Abosch, Aviva; Asher, Anthony; Barker, Fred G.; Ghogawala, Zoher; Harbaugh, Robert; Jehi, Lara; Kestle, John; Koroshetz, Walter; Little, Roderick; Rubin, Donald; Valadka, Alex; Wisniewski, Stephen

2017-01-01

Abstract This workshop addressed challenges of clinical research in neurosurgery. Randomized controlled clinical trials (RCTs) have high internal validity, but often insufficiently generalize to real-world practice. Observational studies are inclusive but often lack sufficient rigor. The workshop considered possible solutions, such as (1) statistical methods for demonstrating causality using observational data; (2) characteristics required of a registry supporting effectiveness research; (3) trial designs combining advantages of observational studies and RCTs; and (4) equipoise, an identified challenge for RCTs. In the future, advances in information technology potentially could lead to creation of a massive database where clinical data from all neurosurgeons are integrated and analyzed, ending the separation of clinical research and practice and leading to a new “science of practice.” PMID:28362926

Mixed methods in psychotherapy research: A review of method(ology) integration in psychotherapy science.

PubMed

Bartholomew, Theodore T; Lockard, Allison J

2018-06-13

Mixed methods can foster depth and breadth in psychological research. However, its use remains in development in psychotherapy research. Our purpose was to review the use of mixed methods in psychotherapy research. Thirty-one studies were identified via the PRISMA systematic review method. Using Creswell & Plano Clark's typologies to identify design characteristics, we assessed each study for rigor and how each used mixed methods. Key features of mixed methods designs and these common patterns were identified: (a) integration of clients' perceptions via mixing; (b) understanding group psychotherapy; (c) integrating methods with cases and small samples; (d) analyzing clinical data as qualitative data; and (e) exploring cultural identities in psychotherapy through mixed methods. The review is discussed with respect to the value of integrating multiple data in single studies to enhance psychotherapy research. © 2018 Wiley Periodicals, Inc.

Stages in the research process.

PubMed

Gelling, Leslie

2015-03-04

Research should be conducted in a systematic manner, allowing the researcher to progress from a general idea or clinical problem to scientifically rigorous research findings that enable new developments to improve clinical practice. Using a research process helps guide this process. This article is the first in a 26-part series on nursing research. It examines the process that is common to all research, and provides insights into ten different stages of this process: developing the research question, searching and evaluating the literature, selecting the research approach, selecting research methods, gaining access to the research site and data, pilot study, sampling and recruitment, data collection, data analysis, and dissemination of results and implementation of findings.

Synthesis maps: visual knowledge translation for the CanIMPACT clinical system and patient cancer journeys.

PubMed

Jones, P H; Shakdher, S; Singh, P

2017-04-01

Salient findings and interpretations from the canimpact clinical cancer research study are visually represented in two synthesis maps for the purpose of communicating an integrated presentation of the study to clinical cancer researchers and policymakers. Synthesis maps integrate evidence and expertise into a visual narrative for knowledge translation and communication. A clinical system synthesis map represents the current Canadian primary care and cancer practice systems, proposed as a visual knowledge translation from the mixed-methods canimpact study to inform Canadian clinical research, policy, and practice discourses. Two synthesis maps, drawn together from multiple canimpact investigations and sources, were required to articulate critical differences between the clinical system and patient perspectives. The synthesis map of Canada-wide clinical cancer systems illustrates the relationships between primary care and the full cancer continuum. A patient-centred map was developed to represent the cancer (and primary care) journeys as experienced by breast and colorectal cancer patients.

Research using qualitative, quantitative or mixed methods and choice based on the research.

PubMed

McCusker, K; Gunaydin, S

2015-10-01

Research is fundamental to the advancement of medicine and critical to identifying the most optimal therapies unique to particular societies. This is easily observed through the dynamics associated with pharmacology, surgical technique and the medical equipment used today versus short years ago. Advancements in knowledge synthesis and reporting guidelines enhance the quality, scope and applicability of results; thus, improving health science and clinical practice and advancing health policy. While advancements are critical to the progression of optimal health care, the high cost associated with these endeavors cannot be ignored. Research fundamentally needs to be evaluated to identify the most efficient methods of evaluation. The primary objective of this paper is to look at a specific research methodology when applied to the area of clinical research, especially extracorporeal circulation and its prognosis for the future. © The Author(s) 2014.

Recruiting Pregnant Patients for Survey Research: A Head to Head Comparison of Social Media-Based Versus Clinic-Based Approaches

PubMed Central

Haefner, Jessica K; Kolenic, Giselle E; Chang, Tammy; Davis, Matthew M; Moniz, Michelle H

2016-01-01

Background Recruiting a diverse sample of pregnant women for clinical research is a challenging but crucial task for improving obstetric services and maternal and child health outcomes. Objective To compare the feasibility and cost of recruiting pregnant women for survey research using social media-based and clinic-based approaches. Methods Advertisements were used to recruit pregnant women from the social media website Facebook. In-person methods were used to recruit pregnant women from the outpatient clinic of a large, tertiary care center. In both approaches, potential respondents were invited to participate in a 15-minute Web-based survey. Each recruitment method was monitored for 1 month. Using bivariate statistics, we compared the number, demographic characteristics, and health characteristics of women recruited and the cost per completed survey for each recruitment method. Results The social media-based approach recruited 1178 women and the clinic-based approach recruited 219 women. A higher proportion of subjects recruited through social media identified as African American (29.4%, 207/705 vs 11.2%, 20/179), reported household incomes

Use of FEV1 in Cystic Fibrosis Epidemiologic Studies and Clinical Trials: A Statistical Perspective for the Clinical Researcher

PubMed Central

Szczesniak, Rhonda; Heltshe, Sonya L.; Stanojevic, Sanja; Mayer-Hamblett, Nicole

2017-01-01

Background Forced expiratory volume in 1 second (FEV1) is an established marker of cystic fibrosis (CF) disease progression that is used to capture clinical course and evaluate therapeutic efficacy. The research community has established FEV1 surveillance data through a variety of observational data sources such as patient registries, and there is a growing pipeline of new CF therapies demonstrated to be efficacious in clinical trials by establishing improvements in FEV1. Results In this review, we summarize from a statistical perspective the clinical relevance of FEV1 based on its association with morbidity and mortality in CF, its role in epidemiologic studies of disease progression and comparative effectiveness, and its utility in clinical trials. In addition, we identify opportunities to advance epidemiologic research and the clinical development pipeline through further statistical considerations. Conclusions Our understanding of CF disease course, therapeutics, and clinical care has evolved immensely in the past decades, in large part due to the thoughtful application of rigorous research methods and meaningful clinical endpoints such as FEV1. A continued commitment to conduct research that minimizes the potential for bias, maximizes the limited patient population, and harmonizes approaches to FEV1 analysis while maintaining clinical relevance, will facilitate further opportunities to advance CF care. PMID:28117136

Clinical trials, epidemiology, and public confidence.

PubMed

Seigel, Daniel

2003-11-15

Critics in the media have become wary of exaggerated research claims from clinical trials and epidemiological studies. Closer to home, reviews of published studies find a high frequency of poor quality in research methods, including those used for statistical analysis. The statistical literature has long recognized that questionable research findings can occur when investigators fail to set aside their own outcome preferences as they analyse and interpret data. These preferences can be related to financial interests, a concern for patients, peer recognition, and commitment to a hypothesis. Several analyses of published papers provide evidence of an association between financial conflicts of interest and reported results. If we are to regain professional and lay confidence in research findings some changes are required. Clinical journals need to develop more competence in the review of analytic methods and provide space for thorough discussion of published papers whose results are challenged. Graduate schools need to prepare students for the conflicting interests that surround the practice of statistics. Above all, each of us must recognize our responsibility to use analytic procedures that illuminate the research issues rather than those serving special interests. Copyright 2003 John Wiley & Sons, Ltd.

Building a comprehensive syntactic and semantic corpus of Chinese clinical texts.

PubMed

He, Bin; Dong, Bin; Guan, Yi; Yang, Jinfeng; Jiang, Zhipeng; Yu, Qiubin; Cheng, Jianyi; Qu, Chunyan

2017-05-01

To build a comprehensive corpus covering syntactic and semantic annotations of Chinese clinical texts with corresponding annotation guidelines and methods as well as to develop tools trained on the annotated corpus, which supplies baselines for research on Chinese texts in the clinical domain. An iterative annotation method was proposed to train annotators and to develop annotation guidelines. Then, by using annotation quality assurance measures, a comprehensive corpus was built, containing annotations of part-of-speech (POS) tags, syntactic tags, entities, assertions, and relations. Inter-annotator agreement (IAA) was calculated to evaluate the annotation quality and a Chinese clinical text processing and information extraction system (CCTPIES) was developed based on our annotated corpus. The syntactic corpus consists of 138 Chinese clinical documents with 47,426 tokens and 2612 full parsing trees, while the semantic corpus includes 992 documents that annotated 39,511 entities with their assertions and 7693 relations. IAA evaluation shows that this comprehensive corpus is of good quality, and the system modules are effective. The annotated corpus makes a considerable contribution to natural language processing (NLP) research into Chinese texts in the clinical domain. However, this corpus has a number of limitations. Some additional types of clinical text should be introduced to improve corpus coverage and active learning methods should be utilized to promote annotation efficiency. In this study, several annotation guidelines and an annotation method for Chinese clinical texts were proposed, and a comprehensive corpus with its NLP modules were constructed, providing a foundation for further study of applying NLP techniques to Chinese texts in the clinical domain. Copyright © 2017. Published by Elsevier Inc.

MIAQuant, a novel system for automatic segmentation, measurement, and localization comparison of different biomarkers from serialized histological slices.

PubMed

Casiraghi, Elena; Cossa, Mara; Huber, Veronica; Rivoltini, Licia; Tozzi, Matteo; Villa, Antonello; Vergani, Barbara

2017-11-02

In the clinical practice, automatic image analysis methods quickly quantizing histological results by objective and replicable methods are getting more and more necessary and widespread. Despite several commercial software products are available for this task, they are very little flexible, and provided as black boxes without modifiable source code. To overcome the aforementioned problems, we employed the commonly used MATLAB platform to develop an automatic method, MIAQuant, for the analysis of histochemical and immunohistochemical images, stained with various methods and acquired by different tools. It automatically extracts and quantifies markers characterized by various colors and shapes; furthermore, it aligns contiguous tissue slices stained by different markers and overlaps them with differing colors for visual comparison of their localization. Application of MIAQuant for clinical research fields, such as oncology and cardiovascular disease studies, has proven its efficacy, robustness and flexibility with respect to various problems; we highlight that, the flexibility of MIAQuant makes it an important tool to be exploited for basic researches where needs are constantly changing. MIAQuant software and its user manual are freely available for clinical studies, pathological research, and diagnosis.

An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.

PubMed

Liu, Yuzhe; Gopalakrishnan, Vanathi

2017-03-01

Many clinical research datasets have a large percentage of missing values that directly impacts their usefulness in yielding high accuracy classifiers when used for training in supervised machine learning. While missing value imputation methods have been shown to work well with smaller percentages of missing values, their ability to impute sparse clinical research data can be problem specific. We previously attempted to learn quantitative guidelines for ordering cardiac magnetic resonance imaging during the evaluation for pediatric cardiomyopathy, but missing data significantly reduced our usable sample size. In this work, we sought to determine if increasing the usable sample size through imputation would allow us to learn better guidelines. We first review several machine learning methods for estimating missing data. Then, we apply four popular methods (mean imputation, decision tree, k-nearest neighbors, and self-organizing maps) to a clinical research dataset of pediatric patients undergoing evaluation for cardiomyopathy. Using Bayesian Rule Learning (BRL) to learn ruleset models, we compared the performance of imputation-augmented models versus unaugmented models. We found that all four imputation-augmented models performed similarly to unaugmented models. While imputation did not improve performance, it did provide evidence for the robustness of our learned models.

Judging Surgical Research: How Should We Evaluate Performance and Measure Value?

PubMed Central

Souba, Wiley W.; Wilmore, Douglas W.

2000-01-01

Objective To establish criteria to evaluate performance in surgical research, and to suggest strategies to optimize research in the future. Summary Background Data Research is an integral component of the academic mission, focusing on important clinical problems, accounting for surgical advances, and providing training and mentoring for young surgeons. With constraints on healthcare resources, there is increasing pressure to generate clinical revenues at the expense of the time and effort devoted to surgical research. An approach that would assess the value of research would allow prioritization of projects. Further, alignment of high-priority research projects with clinical goals would optimize research gains and maximize the clinical enterprise. Methods The authors reviewed performance criteria applied to industrial research and modified these criteria to apply to surgical research. They reviewed several programs that align research objectives with clinical goals. Results Performance criteria were categorized along several dimensions: internal measures (quality, productivity, innovation, learning, and development), customer satisfaction, market share, and financial indices (cost and profitability). A “report card” was proposed to allow the assessment of research in an individual department or division. Conclusions The department’s business strategy can no longer be divorced from its research strategy. Alignment between research and clinical goals will maximize the department’s objectives but will create the need to modify existing hierarchical structures and reward systems. Such alignment appears to be the best way to ensure the success of surgical research in the future. PMID:10862192

Clinical research in Finland in 2002 and 2007: quantity and type

PubMed Central

2013-01-01

Background Regardless of worries over clinical research and various initiatives to overcome problems, few quantitative data on the numbers and type of clinical research exist. This article aims to describe the volume and type of clinical research in 2002 and 2007 in Finland. Methods The research law in Finland requires all medical research to be submitted to regional ethics committees (RECs). Data from all new projects in 2002 and 2007 were collected from REC files and the characteristics of clinical projects (76% of all submissions) were analyzed. Results The number of clinical projects was large, but declining: 794 in 2002 and 762 in 2007. Drug research (mainly trials) represented 29% and 34% of the clinical projects; their total number had not declined, but those without a commercial sponsor had. The number of different principal investigators was large (630 and 581). Most projects were observational, while an experimental design was used in 43% of projects. Multi-center studies were common. In half of the projects, the main funder was health care or was done as unpaid work; 31% had industry funding as the main source. There was a clear difference in the type of research by sponsorship. Industry-funded research was largely drug research, international multi-center studies, with randomized controlled or other experimental design. The findings for the two years were similar, but a university hospital as the main research site became less common between 2002 and 2007. Conclusions Clinical research projects were common, but numbers are declining; research was largely funded by health care, with many physicians involved. Drug trials were a minority, even though most research promotion efforts and regulation concerns them. PMID:23680289

Estimating Return on Investment in Translational Research: Methods and Protocols

PubMed Central

Trochim, William; Dilts, David M.; Kirk, Rosalind

2014-01-01

Assessing the value of clinical and translational research funding on accelerating the translation of scientific knowledge is a fundamental issue faced by the National Institutes of Health and its Clinical and Translational Awards (CTSA). To address this issue, the authors propose a model for measuring the return on investment (ROI) of one key CTSA program, the clinical research unit (CRU). By estimating the economic and social inputs and outputs of this program, this model produces multiple levels of ROI: investigator, program and institutional estimates. A methodology, or evaluation protocol, is proposed to assess the value of this CTSA function, with specific objectives, methods, descriptions of the data to be collected, and how data are to be filtered, analyzed, and evaluated. This paper provides an approach CTSAs could use to assess the economic and social returns on NIH and institutional investments in these critical activities. PMID:23925706

Estimating return on investment in translational research: methods and protocols.

PubMed

Grazier, Kyle L; Trochim, William M; Dilts, David M; Kirk, Rosalind

2013-12-01

Assessing the value of clinical and translational research funding on accelerating the translation of scientific knowledge is a fundamental issue faced by the National Institutes of Health (NIH) and its Clinical and Translational Awards (CTSAs). To address this issue, the authors propose a model for measuring the return on investment (ROI) of one key CTSA program, the clinical research unit (CRU). By estimating the economic and social inputs and outputs of this program, this model produces multiple levels of ROI: investigator, program, and institutional estimates. A methodology, or evaluation protocol, is proposed to assess the value of this CTSA function, with specific objectives, methods, descriptions of the data to be collected, and how data are to be filtered, analyzed, and evaluated. This article provides an approach CTSAs could use to assess the economic and social returns on NIH and institutional investments in these critical activities.

Structural equation modeling in pediatric psychology: overview and review of applications.

PubMed

Nelson, Timothy D; Aylward, Brandon S; Steele, Ric G

2008-08-01

To describe the use of structural equation modeling (SEM) in the Journal of Pediatric Psychology (JPP) and to discuss the usefulness of SEM applications in pediatric psychology research. The use of SEM in JPP between 1997 and 2006 was examined and compared to leading journals in clinical psychology, clinical child psychology, and child development. SEM techniques were used in <4% of the empirical articles appearing in JPP between 1997 and 2006. SEM was used less frequently in JPP than in other clinically relevant journals over the past 10 years. However, results indicated a recent increase in JPP studies employing SEM techniques. SEM is an under-utilized class of techniques within pediatric psychology research, although investigations employing these methods are becoming more prevalent. Despite its infrequent use to date, SEM is a potentially useful tool for advancing pediatric psychology research with a number of advantages over traditional statistical methods.

Missing data and multiple imputation in clinical epidemiological research.

PubMed

Pedersen, Alma B; Mikkelsen, Ellen M; Cronin-Fenton, Deirdre; Kristensen, Nickolaj R; Pham, Tra My; Pedersen, Lars; Petersen, Irene

2017-01-01

Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). In clinical epidemiological research, missing data are seldom MCAR. Missing data can constitute considerable challenges in the analyses and interpretation of results and can potentially weaken the validity of results and conclusions. A number of methods have been developed for dealing with missing data. These include complete-case analyses, missing indicator method, single value imputation, and sensitivity analyses incorporating worst-case and best-case scenarios. If applied under the MCAR assumption, some of these methods can provide unbiased but often less precise estimates. Multiple imputation is an alternative method to deal with missing data, which accounts for the uncertainty associated with missing data. Multiple imputation is implemented in most statistical software under the MAR assumption and provides unbiased and valid estimates of associations based on information from the available data. The method affects not only the coefficient estimates for variables with missing data but also the estimates for other variables with no missing data.

Missing data and multiple imputation in clinical epidemiological research

PubMed Central

Pedersen, Alma B; Mikkelsen, Ellen M; Cronin-Fenton, Deirdre; Kristensen, Nickolaj R; Pham, Tra My; Pedersen, Lars; Petersen, Irene

2017-01-01

Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). In clinical epidemiological research, missing data are seldom MCAR. Missing data can constitute considerable challenges in the analyses and interpretation of results and can potentially weaken the validity of results and conclusions. A number of methods have been developed for dealing with missing data. These include complete-case analyses, missing indicator method, single value imputation, and sensitivity analyses incorporating worst-case and best-case scenarios. If applied under the MCAR assumption, some of these methods can provide unbiased but often less precise estimates. Multiple imputation is an alternative method to deal with missing data, which accounts for the uncertainty associated with missing data. Multiple imputation is implemented in most statistical software under the MAR assumption and provides unbiased and valid estimates of associations based on information from the available data. The method affects not only the coefficient estimates for variables with missing data but also the estimates for other variables with no missing data. PMID:28352203

Investigating Invariant Item Ordering in Personality and Clinical Scales: Some Empirical Findings and a Discussion

ERIC Educational Resources Information Center

Meijer, Rob R.; Egberink, Iris J. L.

2012-01-01

In recent studies, different methods were proposed to investigate invariant item ordering (IIO), but practical IIO research is an unexploited field in questionnaire construction and evaluation. In the present study, the authors explored the usefulness of different IIO methods to analyze personality scales and clinical scales. From the authors'…

[How to prevent hazards and to reduce risk in clinical trials?].

PubMed

Czarkowski, Marek

2008-12-01

Different stakeholders involved in clinical trials are exposed to hazards related with this biomedical research. Beside clinical trials participants other important stakeholders are: investigators, sponsors, centers and clinical research organizations. Hazard prevention needs effective methods of hazard disclosure and analysis. A reduction of risks related with clinical trials is possible due to education, training, inspections, research discipline and penalties. Effective ways of hazard elimination or hazard reduction should be developed as well. Education and training should be offered to all stakeholders but their forms and contents should be adapted to different types of stakeholders. Direct control of the clinical trials should be held by stakeholders conducting clinical trials and outside inspections should be done by other institutions like clinical research organizations, research ethics committees and The Office for Registration of Medicinal Products, Medical Devices and Biocidal Products. Serious oversight is an absence of any independent inspection during a phase of publication of clinical trial results. We should not accept any exception from the golden rule that results of all clinical trials must be published. Indemnity for damages is a popular way of compensation for clinical trials participants. Investigators, sponsors and centers should have valid liability insurance. Drastic measures for reduction of risks in clinical trials are different kinds of penalties. They should prevent participation of unreliable stakeholders and promote those who respect regulations and high ethical standards.

Smart Extraction and Analysis System for Clinical Research.

PubMed

Afzal, Muhammad; Hussain, Maqbool; Khan, Wajahat Ali; Ali, Taqdir; Jamshed, Arif; Lee, Sungyoung

2017-05-01

With the increasing use of electronic health records (EHRs), there is a growing need to expand the utilization of EHR data to support clinical research. The key challenge in achieving this goal is the unavailability of smart systems and methods to overcome the issue of data preparation, structuring, and sharing for smooth clinical research. We developed a robust analysis system called the smart extraction and analysis system (SEAS) that consists of two subsystems: (1) the information extraction system (IES), for extracting information from clinical documents, and (2) the survival analysis system (SAS), for a descriptive and predictive analysis to compile the survival statistics and predict the future chance of survivability. The IES subsystem is based on a novel permutation-based pattern recognition method that extracts information from unstructured clinical documents. Similarly, the SAS subsystem is based on a classification and regression tree (CART)-based prediction model for survival analysis. SEAS is evaluated and validated on a real-world case study of head and neck cancer. The overall information extraction accuracy of the system for semistructured text is recorded at 99%, while that for unstructured text is 97%. Furthermore, the automated, unstructured information extraction has reduced the average time spent on manual data entry by 75%, without compromising the accuracy of the system. Moreover, around 88% of patients are found in a terminal or dead state for the highest clinical stage of disease (level IV). Similarly, there is an ∼36% probability of a patient being alive if at least one of the lifestyle risk factors was positive. We presented our work on the development of SEAS to replace costly and time-consuming manual methods with smart automatic extraction of information and survival prediction methods. SEAS has reduced the time and energy of human resources spent unnecessarily on manual tasks.

What can comparative effectiveness research, propensity score and registry study bring to Chinese medicine?

PubMed

Liao, Xing; Xie, Yan-ming

2014-10-01

The impact of evidence-based medicine and clinical epidemiology on clinical research has contributed to the development of Chinese medicine in modern times over the past two decades. Many concepts and methods of modern science and technology are emerging in Chinese medicine research, resulting in constant progress. Systematic reviews, randomized controlled trials and other advanced mathematic approaches and statistical analysis methods have brought reform to Chinese medicine. In this new era, Chinese medicine researchers have many opportunities and challenges. On the one hand, Chinese medicine researchers need to dedicate themselves to providing enough evidence to the world through rigorous studies, whilst on the other hand, they also need to keep up with the speed of modern medicine research. For example, recently, real world study, comparative effectiveness research, propensity score techniques and registry study have emerged. This article aims to inspire Chinese medicine researchers to explore new areas by introducing these new ideas and new techniques.

The scientific establishment of a new therapeutic intervention for developmental conditions: practical and ethical principles.

PubMed

Ijichi, Shinji; Ijichi, Naomi

2003-11-01

Although the randomized controlled trial (RCT) is a major methodological breakthrough extending the limits of objectivity in clinical medical science, clinical trials of surgery have seldom included placebo surgery as a control, for ethical reasons. Especially in clinical studies intended eventually to establish a new intervention for developmental conditions, it has been recognized that there is huge examiner bias. In addition, the many miraculous cases that have been reported in nonsurgical open trials for developmental conditions and have eventually been evaluated as nonspecific positive outcomes in RCTs suggest that empirically promising interventions must be subjected to scientific scrutiny as soon as possible in the field of developmental conditions. Therefore, in childhood neurosurgery, clinical studies to establish a new therapeutic measure for developmental conditions should be designed as rigorously as possible using optimized scientific methods. The worldwide ethical guideline, the Declaration of Helsinki issued by the World Medical Association, can provide principles for the establishment of a new intervention in the treatment of a patient when proven therapeutic methods do not exist or methods used thus far have been ineffective. Physicians' discretion to use unproven or new therapeutic measures for such patients is approved in the presence of efforts of an ethical and scientific approach. Even if the measure is a very promising intervention, the research aspects must completely be demonstrated for informed consent and review by the ethical committee and the trial must be regarded as a clinical research. Especially when an RCT is not possible for ethical reasons, appropriate epidemiological data or animal experiments should suggest that the new measure is effective before a clinical trial. In a clinical setting, where neither epidemiological studies nor animal experimentation can be introduced, if necessary the researcher should collaborate with experts to obtain multidisciplinary justification for clinical testing.

Approaches for estimating minimal clinically important differences in systemic lupus erythematosus.

PubMed

Rai, Sharan K; Yazdany, Jinoos; Fortin, Paul R; Aviña-Zubieta, J Antonio

2015-06-03

A minimal clinically important difference (MCID) is an important concept used to determine whether a medical intervention improves perceived outcomes in patients. Prior to the introduction of the concept in 1989, studies focused primarily on statistical significance. As most recent clinical trials in systemic lupus erythematosus (SLE) have failed to show significant effects, determining a clinically relevant threshold for outcome scores (that is, the MCID) of existing instruments may be critical for conducting and interpreting meaningful clinical trials as well as for facilitating the establishment of treatment recommendations for patients. To that effect, methods to determine the MCID can be divided into two well-defined categories: distribution-based and anchor-based approaches. Distribution-based approaches are based on statistical characteristics of the obtained samples. There are various methods within the distribution-based approach, including the standard error of measurement, the standard deviation, the effect size, the minimal detectable change, the reliable change index, and the standardized response mean. Anchor-based approaches compare the change in a patient-reported outcome to a second, external measure of change (that is, one that is more clearly understood, such as a global assessment), which serves as the anchor. Finally, the Delphi technique can be applied as an adjunct to defining a clinically important difference. Despite an abundance of methods reported in the literature, little work in MCID estimation has been done in the context of SLE. As the MCID can help determine the effect of a given therapy on a patient and add meaning to statistical inferences made in clinical research, we believe there ought to be renewed focus on this area. Here, we provide an update on the use of MCIDs in clinical research, review some of the work done in this area in SLE, and propose an agenda for future research.

A Computational Study of Commonsense Science: An Exploration in the Automated Analysis of Clinical Interview Data

ERIC Educational Resources Information Center

Sherin, Bruce

2013-01-01

A large body of research in the learning sciences has focused on students' commonsense science knowledge--the everyday knowledge of the natural world that is gained outside of formal instruction. Although researchers studying commonsense science have employed a variety of methods, 1-on-1 clinical interviews have played a unique role. The data…

Data for Cancer Comparative Effectiveness Research: Past, Present, and Future Potential

PubMed Central

Meyer, Anne-Marie; Carpenter, William R; Abernethy, Amy P.; Stürmer, Til; Kosorok, Michael R.

2012-01-01

Background Comparative effectiveness research (CER) can efficiently and rapidly generate new scientific evidence and address knowledge gaps, reduce clinical uncertainty, and guide health care choices. Much of the potential in CER is driven by the application of novel methods to analyze existing data. Despite its potential, several challenges must be identified and overcome so that CER may be improved, accelerated, and expeditiously implemented into the broad spectrum of cancer care and clinical practice. Methods To identify and characterize the challenges to cancer CER, we reviewed the literature and conducted semi-structured interviews with 41 cancer CER researchers at the Agency for Healthcare Research and Quality (AHRQ)'s Developing Evidence to Inform Decisions about Effectiveness (DEcIDE) Cancer CER Consortium. Results A number of datasets for cancer CER were identified and differentiated into an ontology of eight categories, and characterized in terms of strengths, weaknesses, and utility. Several themes emerged during development of this ontology and discussions with CER researchers. Dominant among them was accelerating cancer CER and promoting the acceptance of findings, which will necessitate transcending disciplinary silos to incorporate diverse perspectives and expertise. Multidisciplinary collaboration is required including those with expertise in non-experimental data, outcomes research, clinical trials, epidemiology, generalist and specialty medicine, survivorship, informatics, data, and methods, among others. Conclusions Recommendations highlight the systematic, collaborative identification of critical measures; application of more rigorous study design and sampling methods; policy-level resolution of issues in data ownership, governance, access, and cost; and development and application of consistent standards for data security, privacy, and confidentiality. PMID:22517505

The clinical investigator-subject relationship: a contextual approach

PubMed Central

2009-01-01

Background The nature of the relationship between a clinical investigator and a research subject has generated considerable debate because the investigator occupies two distinct roles: clinician and scientist. As a clinician, the investigator has duties to provide the patient with optimal care and undivided loyalty. As a scientist, the investigator has duties to follow the rules, procedures and methods described in the protocol. Results and conclusion In this article, I present a contextual approach to the investigator-subject relationship. The extent of the investigator's duty to provide the patient/subject with clinical care can vary from one situation to the next, as a function of several factors, including: the research design, benefits and risks of the research; the subject's reasonable expectations, motivations, and vulnerabilities; the investigator's ability to benefit the subject; and the investigator's prior relationship with the subject. These and other factors need to be considered when determining the clinical investigator's obligations to provide clinical care to human research subjects. In some research contexts, the investigator has extensive clinical obligations to the patient/subject; in others, the investigator has minimal ones. PMID:19958542

[Modality of combined methods of quantitative and qualitative research in evaluation of therapeutic effects of Chinese medicine].

PubMed

Liu, Jian-ping

2011-05-01

The core of evidence-based medicine lies in implementing the current best available evidence of clinical research to direct the decision making in clinical practice, incorporation of individual experience and value and preference of patients. However, the current evaluation method for clinical therapeutic effect cannot reflect the humanity and wholesomeness as well as individualized tailored treatment of Chinese medicine (CM) by using randomized controlled trials. This assay addressed the complex intervention of highly individualized treatment of CM and its societal characteristics, and the author proposes a model for the evaluation of therapeutic effects of CM in which quantitative and qualitative methods are combined, embodying the characteristics of the social and natural sciences in CM. The model can show the dynamic process of CM diagnosis and treatment from a perspective of the whole system and can be used for the evaluation of complex intervention of CM. We hope to raise a different thinking and method from the new drug development in the therapeutic effect evaluation.

An Ethno-medical Perspective on Research Participation: A Qualitative Pilot Study

PubMed Central

Calderón, José L.; Baker, Richard S.; Fabrega, Horacio; Conde, José G.; Hays, Ron D.; Fleming, Erik; Norris, Keith

2006-01-01

Background Recruitment of racial/ethnic minorities for clinical research continues to be problematic, yet critical to ensuring that research data will be applicable to diverse populations. There is a paucity of information about culturally appropriate methods for recruiting and retaining racial/ethnic minorities in research. Objective To cross-culturally assess perceptions of research participation by African American and immigrant Latinos living in the inner-city community of Watts, Los Angeles, California, using qualitative methods. Design Focus groups using ethnically matched moderators were convened with African American and immigrant Latino participants. Discussion was facilitated using a script that focused on perceived “feelings” and “perceptions” about research. Discussions were audiotaped, transcribed, and analyzed using manual and computerized statistically based software (mixed) methods. Results African Americans and immigrant Latinos shared several barriers and motivators to research. However, they also reported barriers and motivators to research that were distinct to each group. Latinos were more interested in healthcare and health information, and African Americans were more concerned with issues of trust and quality of care. Most participants said they would participate in research if they were better informed, or if they or a family member had an illness. Improving communication was reported as being important for motivating participation in clinical research. Overall, socioecologically and socioeconomically based domains were shared, whereas historically and/or socioculturally based domains were distinct. Conclusions Using an ethno-medical science model, we demonstrated that it is possible to identify shared barriers and motivators to research participation between 2 distinct cultural groups. This approach can be useful in developing targeted community-based strategies to increase minority participation in clinical trials. PMID:16926762

Modification of Measures of Acute Kidney Injury to Risk Stratify Combat Casualties

DTIC Science & Technology

2017-08-26

AUTHOR(S) Lt Col Jonathan Sosnov 7. PERFORMING ORGANIZATIO,N NAME(S)ANDAODRESS(ES) 59th Clinical Research Division ! JOO \\Villford Hall Loop, Bldg...4430 JBSA-Lackland, TX 78236-9908 210-292-7141 9. SPONSORING/MONITORING AGENCY NAME(S) ANO ADORESS(ES) 59th Clinical Research Division 1100 Will...3218.02_AFI 40-402. Methods Patients: 130 consecutive bum patients admitted to the ICU at the United States Army Institute of Surgical Research

OARSI Clinical Trials Recommendations: Hand imaging in clinical trials in osteoarthritis.

PubMed

Hunter, D J; Arden, N; Cicuttini, F; Crema, M D; Dardzinski, B; Duryea, J; Guermazi, A; Haugen, I K; Kloppenburg, M; Maheu, E; Miller, C G; Martel-Pelletier, J; Ochoa-Albíztegui, R E; Pelletier, J-P; Peterfy, C; Roemer, F; Gold, G E

2015-05-01

Tremendous advances have occurred in our understanding of the pathogenesis of hand osteoarthritis (OA) and these are beginning to be applied to trials targeted at modification of the disease course. The purpose of this expert opinion, consensus driven exercise is to provide detail on how one might use and apply hand imaging assessments in disease modifying clinical trials. It includes information on acquisition methods/techniques (including guidance on positioning for radiography, sequence/protocol recommendations/hardware for MRI); commonly encountered problems (including positioning, hardware and coil failures, sequences artifacts); quality assurance/control procedures; measurement methods; measurement performance (reliability, responsiveness, validity); recommendations for trials; and research recommendations. Copyright © 2015 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Application of Bayesian Approach in Cancer Clinical Trial

PubMed Central

Bhattacharjee, Atanu

2014-01-01

The application of Bayesian approach in clinical trials becomes more useful over classical method. It is beneficial from design to analysis phase. The straight forward statement is possible to obtain through Bayesian about the drug treatment effect. Complex computational problems are simple to handle with Bayesian techniques. The technique is only feasible to performing presence of prior information of the data. The inference is possible to establish through posterior estimates. However, some limitations are present in this method. The objective of this work was to explore the several merits and demerits of Bayesian approach in cancer research. The review of the technique will be helpful for the clinical researcher involved in the oncology to explore the limitation and power of Bayesian techniques. PMID:29147387

Endpoints and cutpoints in head and neck oncology trials: methodical background, challenges, current practice and perspectives.

PubMed

Hezel, Marcus; von Usslar, Kathrin; Kurzweg, Thiemo; Lörincz, Balazs B; Knecht, Rainald

2016-04-01

This article reviews the methodical and statistical basics of designing a trial, with a special focus on the process of defining and choosing endpoints and cutpoints as the foundations of clinical research, and ultimately that of evidence-based medicine. There has been a significant progress in the treatment of head and neck cancer in the past few decades. Currently available treatment options can have a variety of different goals, depending e.g. on tumor stage, among other factors. The outcome of a specific treatment in clinical trials is measured using endpoints. Besides classical endpoints, such as overall survival or organ preservation, other endpoints like quality of life are becoming increasingly important in designing and conducting a trial. The present work is based on electronic research and focuses on the solid methodical and statistical basics of a clinical trial, on the structure of study designs and on the presentation of various endpoints.

[Sample size calculation in clinical post-marketing evaluation of traditional Chinese medicine].

PubMed

Fu, Yingkun; Xie, Yanming

2011-10-01

In recent years, as the Chinese government and people pay more attention on the post-marketing research of Chinese Medicine, part of traditional Chinese medicine breed has or is about to begin after the listing of post-marketing evaluation study. In the post-marketing evaluation design, sample size calculation plays a decisive role. It not only ensures the accuracy and reliability of post-marketing evaluation. but also assures that the intended trials will have a desired power for correctly detecting a clinically meaningful difference of different medicine under study if such a difference truly exists. Up to now, there is no systemic method of sample size calculation in view of the traditional Chinese medicine. In this paper, according to the basic method of sample size calculation and the characteristic of the traditional Chinese medicine clinical evaluation, the sample size calculation methods of the Chinese medicine efficacy and safety are discussed respectively. We hope the paper would be beneficial to medical researchers, and pharmaceutical scientists who are engaged in the areas of Chinese medicine research.

A Systematic Review of Community-Based Participatory Research to Enhance Clinical Trials in Racial and Ethnic Minority Groups

PubMed Central

De Las Nueces, Denise; Hacker, Karen; DiGirolamo, Ann; Hicks, LeRoi S

2012-01-01

Objective To examine the effectiveness of current community-based participatory research (CBPR) clinical trials involving racial and ethnic minorities. Data Source All published peer-reviewed CBPR intervention articles in PubMed and CINAHL databases from January 2003 to May 2010. Study Design We performed a systematic literature review. Data Collection/Extraction Methods Data were extracted on each study's characteristics, community involvement in research, subject recruitment and retention, and intervention effects. Principle Findings We found 19 articles meeting inclusion criteria. Of these, 14 were published from 2007 to 2010. Articles described some measures of community participation in research with great variability. Although CBPR trials examined a wide range of behavioral and clinical outcomes, such trials had very high success rates in recruiting and retaining minority participants and achieving significant intervention effects. Conclusions Significant publication gaps remain between CBPR and other interventional research methods. CBPR may be effective in increasing participation of racial and ethnic minority subjects in research and may be a powerful tool in testing the generalizability of effective interventions among these populations. CBPR holds promise as an approach that may contribute greatly to the study of health care delivery to disadvantaged populations. PMID:22353031

Retrospective Review of Student Research Projects in a Canadian Master of Science in Physical Therapy Programme and the Perceived Impact on Advisors' Research Capacity, Education, Clinical Practice, Knowledge Translation, and Health Policy.

PubMed

Lacey, Courtney; Scodras, Stephanie; Ardron, Julie; Sellan, Ryan; Garbaczewska, Martyna; O'Brien, Kelly K; Salbach, Nancy M

2018-01-01

Purpose: This study's aim was to characterize the nature of students' research conducted for a Master of Science in Physical Therapy (MScPT) degree programme at a Canadian university and evaluate the lead advisors' perspectives of its impact on their research capacity, education, clinical practice, knowledge translation, and health policy. Methods: We conducted a quantitative, cross-sectional, retrospective review of research reports from 2003 to 2014 to characterize the MScPT students' research and a quantitative, cross-sectional e-survey of lead research advisors to evaluate the impact of this research. Results: Data were abstracted from reports of 201 research projects completed between 2003 and 2014. Projects were conducted primarily in university-affiliated hospitals (41.6%) or the university's physical therapy department (41.1%), and the majority (52.5%) had a clinical focus. Of the 95 lead advisors of 201 projects, 59 advisors (response rate 62.1%) of 119 projects completed the survey questionnaire. The respondents most frequently identified clinical practice (45.1%) and advisors' research capacity (31.4%) as areas positively affected by the students' research. Conclusions: The MScPT students' research projects facilitate the conduct of extensive research internally and across affiliated hospitals. This research appears to advance not only clinical practice but also the ability of lead advisors to undertake research.

Assessing Research Interest and Capacity in Community Health Centers

PubMed Central

Bhuiya, Nazmim; Pernice, Joan; Khan, Sami M.; Sequist, Thomas D.; Tendulkar, Shalini A.

2013-01-01

Abstract Objective Community health centers (CHCs) have great potential to participate in the development of evidence‐based primary care but face obstacles to engagement in clinical translational research. Methods To understand factors associated with CHC interest in building research infrastructure, Harvard Catalyst and the Massachusetts League of Community Health Centers conducted an online survey of medical directors in all 50 Massachusetts CHC networks. Results Thirty‐two (64%) medical directors completed the survey representing 126 clinical sites. Over 80% reported that their primary care providers (PCPs) were slightly to very interested in future clinical research and that they were interested in building research infrastructure at their CHC. Frequently cited barriers to participation in research included financial issues, lack of research skills, and lack of research infrastructure. In bivariate analyses, PCP interest in future clinical research and a belief that involvement in research contributed to PCP retention were significantly associated with interest in building research infrastructure. Conclusion CHCs critical role in caring for vulnerable populations ideally positions them to raise relevant research questions and translate evidence into practice. Our findings suggest a high interest in engagement in research among CHC leadership. CTSAs have a unique opportunity to support local CHCs in this endeavor. PMID:24127928

From Nonclinical Research to Clinical Trials and Patient-registries: Challenges and Opportunities in Biomedical Research

PubMed Central

de la Torre Hernández, José M.; Edelman, Elazer R.

2018-01-01

The most important challenge faced by human beings is health. The only way to provide better solutions for health care is innovation, true innovation. The only source of true innovation is research, good research indeed. The pathway from a basic science study to a randomized clinical trial is long and not free of bumps and even landmines. These are all the obstacles and barriers that limit the availability of resources, entangle administrative-regulatory processes, and restrain investigators’ initiatives. There is increasing demand for evidence to guide clinical practice but, paradoxically, biomedical research has become increasingly complex, expensive, and difficult to integrate into clinical care with increased barriers to performing the practical aspects of investigation. We face the challenge of increasing the volume of biomedical research and simultaneously improving the efficiency and output of this research. In this article, we review the main stages and methods of biomedical research, from nonclinical studies with animal and computational models to randomized trials and clinical registries, focusing on their limitations and challenges, but also providing alternative solutions to overcome them. Fortunately, challenges are always opportunities in disguise. PMID:28838647

Evaluating Integrative Cancer Clinics With the Claim Assessment Profile: An Example With the InspireHealth Clinic

PubMed Central

Hilton, Lara; Elfenbaum, Pamela; Jain, Shamini; Sprengel, Meredith; Jonas, Wayne B.

2016-01-01

Background: The evaluation of freestanding integrative cancer clinical programs is challenging and is rarely done. We have developed an approach called the Claim Assessment Profile (CAP) to identify whether evaluation of a practice is justified, feasible, and likely to provide useful information. Objectives: A CAP was performed in order to (1) clarify the healing claims at InspireHealth, an integrative oncology treatment program, by defining the most important impacts on its clients; (2) gather information about current research capacity at the clinic; and (3) create a program theory and path model for use in prospective research. Study Design/Methods: This case study design incorporates methods from a variety of rapid assessment approaches. Procedures included site visits to observe the program, structured qualitative interviews with 26 providers and staff, surveys to capture descriptive data about the program, and observational data on program implementation. Results: The InspireHealth program is a well-established, multi-site, thriving integrative oncology clinical practice that focuses on patient support, motivation, and health behavior engagement. It delivers patient-centered care via a standardized treatment protocol. There arehigh levels of research interest from staff and resources by which to conduct research. Conclusions: This analysis provides the primary descriptive and claims clarification of an integrative oncology treatment program, an evaluation readiness report, a detailed logic model explicating program theory, and a clinical outcomes path model for conducting prospective research. Prospective evaluation of this program would be feasible and valuable, adding to our knowledge base of integrative cancer therapies. PMID:29444602

PARTAKE Survey of Public Knowledge and Perceptions of Clinical Research in India

PubMed Central

Burt, Tal; Dhillon, Savita; Sharma, Pooja; Khan, Danish; MV, Deepa; Alam, Sazid; Jain, Sarika; Alapati, Bhavana; Mittal, Sanjay; Singh, Padam

2013-01-01

Background A public that is an informed partner in clinical research is important for ethical, methodological, and operational reasons. There are indications that the public is unaware or misinformed, and not sufficiently engaged in clinical research but studies on the topic are lacking. PARTAKE – Public Awareness of Research for Therapeutic Advancements through Knowledge and Empowerment is a program aimed at increasing public awareness and partnership in clinical research. The PARTAKE Survey is a component of the program. Objective To study public knowledge and perceptions of clinical research. Methods A 40-item questionnaire combining multiple-choice and open-ended questions was administered to 175 English- or Hindi-speaking individuals in 8 public locations representing various socioeconomic strata in New Delhi, India. Results Interviewees were 18–84 old (mean: 39.6, SD±16.6), 23.6% female, 68.6% employed, 7.3% illiterate, 26.3% had heard of research, 2.9% had participated and 58.9% expressed willingness to participate in clinical research. The following perceptions were reported (% true/% false/% not aware): ‘research benefits society’ (94.1%/3.5%/2.3%), ‘the government protects against unethical clinical research’ (56.7%/26.3%/16.9%), ‘research hospitals provide better care’ (67.2%/8.7%/23.9%), ‘confidentiality is adequately protected’ (54.1%/12.3%/33.5%), ‘participation in research is voluntary’ (85.3%/5.8%/8.7%); ‘participants treated like ‘guinea pigs’’ (20.7%/53.2%/26.0%), and ‘compensation for participation is adequate’ (24.7%/12.9%/62.3%). Conclusions Results suggest the Indian public is aware of some key features of clinical research (e.g., purpose, value, voluntary nature of participation), and supports clinical research in general but is unaware of other key features (e.g., compensation, confidentiality, protection of human participants) and exhibits some distrust in the conduct and reporting of clinical trials. Larger, cross-cultural surveys are required to inform educational programs addressing these issues. PMID:23874712

Science Is an Attitude: A Response to Kamhi

ERIC Educational Resources Information Center

Apel, Kenn

2011-01-01

Purpose: I provide alternative views to Kamhi's (2011) assertion that clinical practice cannot be scientific. I also discuss how the field of communication sciences and disorders might encourage scientific thinking about clinical practices in researchers and clinicians. Method: Kamhi's three main points for why clinical practice cannot be…

Cultivating Critical Thinking in the Clinical Learning Environment.

ERIC Educational Resources Information Center

Behar-Horenstein, Linda S.; Dolan, Teresa A.; Courts, Frank J.; Mitchell, Gail S.

2000-01-01

Used qualitative research methods to assess the frequency and nature of teaching critical thinking skills in the University of Florida College of Dentistry predoctoral student clinics. Observation of 13 faculty and 44 students in six clinics found critical thinking skills were infrequently taught and teacher-dominated instruction predominated.…

Towards Evidence-Based Practice in Language Intervention for Bilingual Children

ERIC Educational Resources Information Center

Thordardottir, Elin

2010-01-01

Evidence-based practice requires that clinical decisions be based on evidence from rigorously controlled research studies. At this time, very few studies have directly examined the efficacy of clinical intervention methods for bilingual children. Clinical decisions for this population cannot, therefore, be based on the strongest forms of research…

Directions for new developments on statistical design and analysis of small population group trials.

PubMed

Hilgers, Ralf-Dieter; Roes, Kit; Stallard, Nigel

2016-06-14

Most statistical design and analysis methods for clinical trials have been developed and evaluated where at least several hundreds of patients could be recruited. These methods may not be suitable to evaluate therapies if the sample size is unavoidably small, which is usually termed by small populations. The specific sample size cut off, where the standard methods fail, needs to be investigated. In this paper, the authors present their view on new developments for design and analysis of clinical trials in small population groups, where conventional statistical methods may be inappropriate, e.g., because of lack of power or poor adherence to asymptotic approximations due to sample size restrictions. Following the EMA/CHMP guideline on clinical trials in small populations, we consider directions for new developments in the area of statistical methodology for design and analysis of small population clinical trials. We relate the findings to the research activities of three projects, Asterix, IDeAl, and InSPiRe, which have received funding since 2013 within the FP7-HEALTH-2013-INNOVATION-1 framework of the EU. As not all aspects of the wide research area of small population clinical trials can be addressed, we focus on areas where we feel advances are needed and feasible. The general framework of the EMA/CHMP guideline on small population clinical trials stimulates a number of research areas. These serve as the basis for the three projects, Asterix, IDeAl, and InSPiRe, which use various approaches to develop new statistical methodology for design and analysis of small population clinical trials. Small population clinical trials refer to trials with a limited number of patients. Small populations may result form rare diseases or specific subtypes of more common diseases. New statistical methodology needs to be tailored to these specific situations. The main results from the three projects will constitute a useful toolbox for improved design and analysis of small population clinical trials. They address various challenges presented by the EMA/CHMP guideline as well as recent discussions about extrapolation. There is a need for involvement of the patients' perspective in the planning and conduct of small population clinical trials for a successful therapy evaluation.

Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and design

PubMed Central

Chinda, Betty; Medvedev, George; Siu, William; Ester, Martin; Arab, Ali; Gu, Tao; Moreno, Sylvain; D’Arcy, Ryan C N; Song, Xiaowei

2018-01-01

Introduction Haemorrhagic stroke is of significant healthcare concern due to its association with high mortality and lasting impact on the survivors’ quality of life. Treatment decisions and clinical outcomes depend strongly on the size, spread and location of the haematoma. Non-contrast CT (NCCT) is the primary neuroimaging modality for haematoma assessment in haemorrhagic stroke diagnosis. Current procedures do not allow convenient NCCT-based haemorrhage volume calculation in clinical settings, while research-based approaches are yet to be tested for clinical utility; there is a demonstrated need for developing effective solutions. The project under review investigates the development of an automatic NCCT-based haematoma computation tool in support of accurate quantification of haematoma volumes. Methods and analysis Several existing research methods for haematoma volume estimation are studied. Selected methods are tested using NCCT images of patients diagnosed with acute haemorrhagic stroke. For inter-rater and intrarater reliability evaluation, different raters will analyse haemorrhage volumes independently. The efficiency with respect to time of haematoma volume assessments will be examined to compare with the results from routine clinical evaluations and planimetry assessment that are known to be more accurate. The project will target the development of an enhanced solution by adapting existing methods and integrating machine learning algorithms. NCCT-based information of brain haemorrhage (eg, size, volume, location) and other relevant information (eg, age, sex, risk factor, comorbidities) will be used in relation to clinical outcomes with future project development. Validity and reliability of the solution will be examined for potential clinical utility. Ethics and dissemination The project including procedures for deidentification of NCCT data has been ethically approved. The study involves secondary use of existing data and does not require new consent of participation. The team consists of clinical neuroimaging scientists, computing scientists and clinical professionals in neurology and neuroradiology and includes patient representatives. Research outputs will be disseminated following knowledge translation plans towards improving stroke patient care. Significant findings will be published in scientific journals. Anticipated deliverables include computer solutions for improved clinical assessment of haematoma using NCCT. PMID:29674371

Clinical records anonymisation and text extraction (CRATE): an open-source software system.

PubMed

Cardinal, Rudolf N

2017-04-26

Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows research uses of clinical data without explicit consent. This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research. Creation and management of a research database from sensitive clinical records with secure pseudonym generation, full-text indexing, and a consent-to-contact process is possible and practical using entirely free and open-source software.

Social and behavioral research in genomic sequencing: approaches from the Clinical Sequencing Exploratory Research Consortium Outcomes and Measures Working Group.

PubMed

Gray, Stacy W; Martins, Yolanda; Feuerman, Lindsay Z; Bernhardt, Barbara A; Biesecker, Barbara B; Christensen, Kurt D; Joffe, Steven; Rini, Christine; Veenstra, David; McGuire, Amy L

2014-10-01

The routine use of genomic sequencing in clinical medicine has the potential to dramatically alter patient care and medical outcomes. To fully understand the psychosocial and behavioral impact of sequencing integration into clinical practice, it is imperative that we identify the factors that influence sequencing-related decision making and patient outcomes. In an effort to develop a collaborative and conceptually grounded approach to studying sequencing adoption, members of the National Human Genome Research Institute's Clinical Sequencing Exploratory Research Consortium formed the Outcomes and Measures Working Group. Here we highlight the priority areas of investigation and psychosocial and behavioral outcomes identified by the Working Group. We also review some of the anticipated challenges to measurement in social and behavioral research related to genomic sequencing; opportunities for instrument development; and the importance of qualitative, quantitative, and mixed-method approaches. This work represents the early, shared efforts of multiple research teams as we strive to understand individuals' experiences with genomic sequencing. The resulting body of knowledge will guide recommendations for the optimal use of sequencing in clinical practice.

Closing the translation gap for justice requirements in international research.

PubMed

Pratt, Bridget; Zion, Deborah; Lwin, Khin Maung; Cheah, Phaik Yeong; Nosten, Francois; Loff, Bebe

2012-09-01

Bioethicists have long debated the content of sponsors and researchers' obligations of justice in international clinical research. However, there has been little empirical investigation as to whether and how obligations of responsiveness, ancillary care, post-trial benefits and research capacity strengthening are upheld in low- and middle-income country settings. In this paper, the authors argue that research ethics guidelines need to be more informed by international research practice. Practical guidance on how to fulfil these obligations is needed if research groups and other actors are to successfully translate them into practice because doing so is often a complicated, context-specific process. Case study research methods offer one avenue for collecting data to develop this guidance. The authors describe how such methods have been used in relation to the Shoklo Malaria Research Unit's vivax malaria treatment (VHX) trial (NCT01074905). Relying on the VHX trial example, the paper shows how information can be gathered from not only international clinical researchers but also trial participants, community advisory board members and research funder representatives in order to: (1) measure evidence of responsiveness, provision of ancillary care, access to post-trial benefits and research capacity strengthening in international clinical research; and (2) identify the contextual factors and roles and responsibilities that were instrumental in the fulfilment of these ethical obligations. Such empirical work is necessary to inform the articulation of obligations of justice in international research and to develop guidance on how to fulfil them in order to facilitate better adherence to guidelines' requirements.

Clinical versus actuarial judgment.

PubMed

Dawes, R M; Faust, D; Meehl, P E

1989-03-31

Professionals are frequently consulted to diagnose and predict human behavior; optimal treatment and planning often hinge on the consultant's judgmental accuracy. The consultant may rely on one of two contrasting approaches to decision-making--the clinical and actuarial methods. Research comparing these two approaches shows the actuarial method to be superior. Factors underlying the greater accuracy of actuarial methods, sources of resistance to the scientific findings, and the benefits of increased reliance on actuarial approaches are discussed.

[Not Available].

PubMed

Paturzo, Marco; Colaceci, Sofia; Clari, Marco; Mottola, Antonella; Alvaro, Rosaria; Vellone, Ercole

2016-01-01

. Mixed methods designs: an innovative methodological approach for nursing research. The mixed method research designs (MM) combine qualitative and quantitative approaches in the research process, in a single study or series of studies. Their use can provide a wider understanding of multifaceted phenomena. This article presents a general overview of the structure and design of MM to spread this approach in the Italian nursing research community. The MM designs most commonly used in the nursing field are the convergent parallel design, the sequential explanatory design, the exploratory sequential design and the embedded design. For each method a research example is presented. The use of MM can be an added value to improve clinical practices as, through the integration of qualitative and quantitative methods, researchers can better assess complex phenomena typical of nursing.

A scoping review of the potential for chart stimulated recall as a clinical research method.

PubMed

Sinnott, Carol; Kelly, Martina A; Bradley, Colin P

2017-08-22

Chart-stimulated recall (CSR) is a case-based interviewing technique, which is used in the assessment of clinical decision-making in medical education and professional certification. Increasingly, clinical decision-making is a concern for clinical research in primary care. In this study, we review the prior application and utility of CSR as a technique for research interviews in primary care. Following Arksey & O'Malley's method for scoping reviews, we searched seven databases, grey literature, reference lists, and contacted experts in the field. We excluded studies on medical education or competence assessment. Retrieved citations were screened by one reviewer and full texts were ordered for all potentially relevant abstracts. Two researchers independently reviewed full texts and performed data extraction and quality appraisal if inclusion criteria were met. Data were collated and summarised using a published framework on the reporting of qualitative interview techniques, which was chosen a priori. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines informed the review report. From an initial list of 789 citations, eight studies using CSR in research interviews were included in the review: six from North America, one from the Netherlands, and one from Ireland. The most common purpose of included studies was to examine the influence of guidelines on physicians' decisions. The number of interviewees ranged from seven to twenty nine, while the number of charts discussed per interview ranged from one to twelve. CSR gave insights into physicians' reasoning for actions taken or not taken; the unrecorded social and clinical influences on decisions; and discrepancies between physicians' real and perceived practice. Ethical concerns and the training and influence of the researcher were poorly discussed in most of the studies. Potential pitfalls included the risk of recall, selection and observation biases. Despite the proven validity, reliability and acceptability of CSR in assessment interviews in medical education, its use in clinical research is limited. Application of CSR in qualitative research brings interview data closer to the reality of practice. Although further development of the approach is required, we recommend a role for CSR in research interviews on decision-making in clinical practice.

Clinical Trials Methods for Evaluation of Potential Reduced Exposure Products

PubMed Central

Hatsukami, Dorothy K.; Hanson, Karen; Briggs, Anna; Parascandola, Mark; Genkinger, Jeanine M.; O'Connor, Richard; Shields, Peter

2009-01-01

Potential reduced exposure tobacco products (PREPs) may have promise in reducing tobacco-related morbidity or mortality or may promote greater harm to individuals or the population. Critical to determining the risks or benefits from these products are valid human clinical trial PREP assessment methods. Assessment involves determining the effects of these products on biomarkers of exposure and of effect, which serve as proxies for harm, and assessing the potential for consumer uptake and abuse of the product. This article raises the critical methodological issues associated with PREP assessment, reviews the methods that have been used to assess PREPs, and describes the strengths and limitations of these methods. Additionally, recommendations for clinical trials PREP assessment methods and future research directions in this area based on this review and on the deliberations from a National Cancer Institute sponsored Clinical Trials PREP Methods Workshop are provided. PMID:19959672

Evidence flowers: An innovative, visual method of presenting "best evidence" summaries to health professional and lay audiences.

PubMed

Babatunde, O O; Tan, V; Jordan, J L; Dziedzic, K; Chew-Graham, C A; Jinks, C; Protheroe, J; van der Windt, D A

2018-06-01

Barriers to dissemination and engagement with evidence pose a threat to implementing evidence-based medicine. Understanding, retention, and recall can be enhanced by visual presentation of information. The aim of this exploratory research was to develop and evaluate the accessibility and acceptability of visual summaries for presenting evidence syntheses with multiple exposures or outcomes to professional and lay audiences. "Evidence flowers" were developed as a visual method of presenting data from 4 case scenarios: 2 complex evidence syntheses with multiple outcomes, Cochrane reviews, and clinical guidelines. Petals of evidence flowers were coloured according to the GRADE evidence rating system to display key findings and recommendations from the evidence summaries. Application of evidence flowers was observed during stakeholder workshops. Evaluation and feedback were conducted via questionnaires and informal interviews. Feedback from stakeholders on the evidence flowers collected from workshops, questionnaires, and interviews was encouraging and helpful for refining the design of the flowers. Comments were made on the content and design of the flowers, as well as the usability and potential for displaying different types of evidence. Evidence flowers are a novel and visually stimulating method for presenting research evidence from evidence syntheses with multiple exposures or outcomes, Cochrane reviews, and clinical guidelines. To promote access and engagement with research evidence, evidence flowers may be used in conjunction with other evidence synthesis products, such as (lay) summaries, evidence inventories, rapid reviews, and clinical guidelines. Additional research on potential adaptations and applications of the evidence flowers may further bridge the gap between research evidence and clinical practice. Copyright © 2018 John Wiley & Sons, Ltd.

'Nursing research culture' in the context of clinical nursing practice: addressing a conceptual problem.

PubMed

Berthelsen, Connie Bøttcher; Hølge-Hazelton, Bibi

2017-05-01

To report an analysis of the concept of nursing research culture in the context of clinical nursing practice. Nursing research culture should be valued for its contribution to improving patient care and should be considered as a routine hospital activity. However, the demand for efficiency, nurses' barriers to research use and the lack of definition of the concept of nursing research culture make it difficult to establish. Concept analysis. Data were collected through a literature review in PubMed, CINAHL and PsycINFO during March 2016. Walker and Avant's eight-step framework for concept analysis. Five defining attributes of nursing research culture in the context of clinical nursing practice were identified: strong monodisciplinary nursing professionalism, academic thinking and socialization, research use as a part of daily nursing practice, acceptance by colleagues and management and facilitation of resources from management and organization. Although the method of concept analysis has been criticized and heavily debated, the development of nursing research cultures based on the defining attributes and antecedents of the concept will be important to emphasize evidence-based clinical nursing care. Further research should support the development and the implementation of nursing research culture in clinical nursing practice. © 2016 John Wiley & Sons Ltd.

Methods of albumin estimation in clinical biochemistry: Past, present, and future.

PubMed

Kumar, Deepak; Banerjee, Dibyajyoti

2017-06-01

Estimation of serum and urinary albumin is routinely performed in clinical biochemistry laboratories. In the past, precipitation-based methods were popular for estimation of human serum albumin (HSA). Currently, dye-binding or immunochemical methods are widely practiced. Each of these methods has its limitations. Research endeavors to overcome such limitations are on-going. The current trends in methodological aspects of albumin estimation guiding the field have not been reviewed. Therefore, it is the need of the hour to review several aspects of albumin estimation. The present review focuses on the modern trends of research from a conceptual point of view and gives an overview of recent developments to offer the readers a comprehensive understanding of the subject. Copyright © 2017 Elsevier B.V. All rights reserved.

["Practical clinical competence" - a joint programme to improve training in surgery].

PubMed

Ruesseler, M; Schill, A; Stibane, T; Damanakis, A; Schleicher, I; Menzler, S; Braunbeck, A; Walcher, F

2013-12-01

Practical clinical competence is, as a result of the complexity of the required skills and the immediate consequences of their insufficient mastery, fundamentally important for undergraduate medical education. However, in the daily clinical routine, undergraduate training competes with patient care and experimental research, mostly to the disadvantage of the training of clinical skills and competencies. All students have to spend long periods in compulsory surgical training courses during their undergraduate studies. Thus, surgical undergraduate training is predestined to exemplarily develop, analyse and implement a training concept comprising defined learning objectives, elaborated teaching materials, analysed teaching methods, as well as objective and reliable assessment methods. The aim of this project is to improve and strengthen undergraduate training in practical clinical skills and competencies. The project is funded by the German Federal Ministry of Education and Research with almost two million Euro as a joint research project of the medical faculties of the universities of Frankfurt/Main, Gießen and Marburg, in collaboration with the German Society of Surgery, the German Society of Medical Education and the German Medical Students' Association. Nine packages in three pillars are combined in order to improve undergraduate medical training on a methodical, didactic and curricular level in a nation-wide network. Each partner of this network provides a systematic contribution to the project based on individual experience and competence. Based on the learning objectives, which were defined by the working group "Education" of the German Society of Surgery, teaching contents will be analysed with respect to their quality and will be available for both teachers and students as mobile learning tool (first pillar). The existing surgical curricula at the cooperating medical faculties will be analysed and teaching methods as well as assessment methods for clinical skills will be evaluated regarding their methodological quality and evidence. The existing surgical curricula will be revised and adapted on the basis of these results (second pillar). Qualification programmes for physicians will be implemented in order to improve both undergraduate education and the attractiveness of educational research, the required teaching quality will be imparted in a nationwide "train-the-teacher" program for surgical clinical skills (third pillar). Georg Thieme Verlag KG Stuttgart · New York.

Research on the Method of Big Data Collecting, Storing and Analyzing of Tongue Diagnosis System

NASA Astrophysics Data System (ADS)

Chen, Xiaowei; Wu, Qingfeng

2018-03-01

This paper analyzes the contents of the clinical data of tongue diagnosis of TCM (Traditional Chinese Medicine), and puts forward a method to collect, store and analyze the clinical data of tongue diagnosis. Under the guidance of TCM theory of syndrome differentiation and treatment, this method combines with Hadoop, which is a distributed computing system with strong expansibility, and integrates the functions of analysis and conversion of big data of clinic tongue diagnosis. At the same time, the consistency, scalability and security of big data in tongue diagnosis are realized.

The clinical content of NHS trust board meetings: an initial exploration.

PubMed

Watkins, Mary; Jones, Ray; Lindsey, Laura; Sheaff, Rod

2008-09-01

To differentiate between English NHS trust board meetings according to the percentage of clinical content and to explore which characteristics of board meetings might explain this. Definition of scoring system for clinical content. Scoring of minutes for a random sample of 60 trusts. Qualitative analysis of a sub-sample, generated hypotheses about factors leading to higher percentage of clinical items was undertaken; testing of hypotheses in a longitudinal sample of minutes from 24 trusts over 1 year. Clinical content varied from 2% to 30%. Boards with a more clinical focus tended to link other issues including finance to clinical issues; have non-executive directors able to question board executives openly; make less use of acronyms in minutes; had more liaison with social services; and accepted questions from the public. Counting items in board minutes has prima facie validity as a means of defining how clinically focussed board meetings are, although more research is required to refine the method. The present method of analysing board minutes may provide one way of assessing board culture. Directors of nursing can help focus trust board meetings on clinical matters. Further research is required to determine whether greater clinical content in trust board meetings has impacts on clinical practice or organizational performance.

How blockchain-timestamped protocols could improve the trustworthiness of medical science

PubMed Central

Irving, Greg; Holden, John

2017-01-01

Trust in scientific research is diminished by evidence that data are being manipulated. Outcome switching, data dredging and selective publication are some of the problems that undermine the integrity of published research. Methods for using blockchain to provide proof of pre-specified endpoints in clinical trial protocols were first reported by Carlisle. We wished to empirically test such an approach using a clinical trial protocol where outcome switching has previously been reported. Here we confirm the use of blockchain as a low cost, independently verifiable method to audit and confirm the reliability of scientific studies. PMID:27239273

How blockchain-timestamped protocols could improve the trustworthiness of medical science.

PubMed

Irving, Greg; Holden, John

2016-01-01

Trust in scientific research is diminished by evidence that data are being manipulated. Outcome switching, data dredging and selective publication are some of the problems that undermine the integrity of published research. Methods for using blockchain to provide proof of pre-specified endpoints in clinical trial protocols were first reported by Carlisle. We wished to empirically test such an approach using a clinical trial protocol where outcome switching has previously been reported. Here we confirm the use of blockchain as a low cost, independently verifiable method to audit and confirm the reliability of scientific studies.

Translating Evidence Into Practice via Social Media: A Mixed-Methods Study.

PubMed

Maloney, Stephen; Tunnecliff, Jacqueline; Morgan, Prue; Gaida, Jamie E; Clearihan, Lyn; Sadasivan, Sivalal; Davies, David; Ganesh, Shankar; Mohanty, Patitapaban; Weiner, John; Reynolds, John; Ilic, Dragan

2015-10-26

Approximately 80% of research evidence relevant to clinical practice never reaches the clinicians delivering patient care. A key barrier for the translation of evidence into practice is the limited time and skills clinicians have to find and appraise emerging evidence. Social media may provide a bridge between health researchers and health service providers. The aim of this study was to determine the efficacy of social media as an educational medium to effectively translate emerging research evidence into clinical practice. The study used a mixed-methods approach. Evidence-based practice points were delivered via social media platforms. The primary outcomes of attitude, knowledge, and behavior change were assessed using a preintervention/postintervention evaluation, with qualitative data gathered to contextualize the findings. Data were obtained from 317 clinicians from multiple health disciplines, predominantly from the United Kingdom, Australia, the United States, India, and Malaysia. The participants reported an overall improvement in attitudes toward social media for professional development (P<.001). The knowledge evaluation demonstrated a significant increase in knowledge after the training (P<.001). The majority of respondents (136/194, 70.1%) indicated that the education they had received via social media had changed the way they practice, or intended to practice. Similarly, a large proportion of respondents (135/193, 69.9%) indicated that the education they had received via social media had increased their use of research evidence within their clinical practice. Social media may be an effective educational medium for improving knowledge of health professionals, fostering their use of research evidence, and changing their clinical behaviors by translating new research evidence into clinical practice.

Novel survey disseminated through Twitter supports its utility for networking, disseminating research, advocacy, clinical practice and other professional goals.

PubMed

Borgmann, Hendrik; DeWitt, Sasha; Tsaur, Igor; Haferkamp, Axel; Loeb, Stacy

2015-01-01

Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users' clinical practice, research, and other professional activities. We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method.

Clinical diabetes research using data mining: a Canadian perspective.

PubMed

Shah, Baiju R; Lipscombe, Lorraine L

2015-06-01

With the advent of the digitization of large amounts of information and the computer power capable of analyzing this volume of information, data mining is increasingly being applied to medical research. Datasets created for administration of the healthcare system provide a wealth of information from different healthcare sectors, and Canadian provinces' single-payer universal healthcare systems mean that data are more comprehensive and complete in this country than in many other jurisdictions. The increasing ability to also link clinical information, such as electronic medical records, laboratory test results and disease registries, has broadened the types of data available for analysis. Data-mining methods have been used in many different areas of diabetes clinical research, including classic epidemiology, effectiveness research, population health and health services research. Although methodologic challenges and privacy concerns remain important barriers to using these techniques, data mining remains a powerful tool for clinical research. Copyright © 2015 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

Creating a Research Agenda and Setting Research Priorities for Clinical Nurse Specialists.

PubMed

Foster, Jan; Bautista, Cynthia; Ellstrom, Kathleen; Kalowes, Peggy; Manning, Jennifer; Pasek, Tracy Ann

The purpose of this article is to describe the evolution and results of the process for establishing a research agenda and identification of research priorities for clinical nurse specialists, approved by the National Association of Clinical Nurse Specialists (NACNS) membership and sanctioned by the NACNS Board of Directors. Development of the research agenda and identification of the priorities were an iterative process and involved a review of the literature; input from multiple stakeholders, including individuals with expertise in conducting research serving as task force members, and NACNS members; and feedback from national board members. A research agenda, which is to provide an enduring research platform, was established and research priorities, which are to be applied in the immediate future, were identified as a result of this process. Development of a research agenda and identification of research priorities are a key method of fulfilling the mission and goals of NACNS. The process and outcomes are described in this article.

The (in)stability of 21st century orthopedic patient contact information and its implications on clinical research: a cross-sectional study

PubMed Central

London, Daniel A; Stepan, Jeffrey G; Goldfarb, Charles A; Boyer, Martin I; Calfee, Ryan P

2016-01-01

Background In clinical research, minimizing patients lost to follow-up is essential for data validity. Researchers can employ better methodology to prevent patient loss. We examined how orthopedic surgery patients’ contact information changes over time to optimize data collection for long-term outcomes research. Methods Patients presenting to orthopedic outpatient clinics completed questionnaires regarding methods of contact: home phone, cell phone, mailing address, and e-mail address. They reported currently available methods of contact, if they changed in the past five and ten years, and when they changed. Differences in the rates of change amongst methods were assessed via Fisher exact tests. Whether participants changed any of their contact information in the past five and ten years was determined via multivariate modeling, controlling for demographic variables. Results Among 152 patients, 51% changed at least one form of contact information within 5 years, and 66% changed at least one form within 10 years. The rate of change for each contact method was similar over five (15-28%) and ten years (26-41%). One patient changed all 4 methods of contact within the past five years, and seven within the past ten years. Females and younger patients were more likely to change some type of contact information. Conclusions The type of contact information least likely to change over five to ten years is influenced by demographic factors such as sex and age, with females and younger participants more likely to change some aspect of their contact information. Collecting all contact methods appears necessary to minimize patients lost to follow-up, especially as technological norms evolve. PMID:28359191

Proposed Standardized Neurological Endpoints for Cardiovascular Clinical Trials: An Academic Research Consortium Initiative.

PubMed

Lansky, Alexandra J; Messé, Steven R; Brickman, Adam M; Dwyer, Michael; Bart van der Worp, H; Lazar, Ronald M; Pietras, Cody G; Abrams, Kevin J; McFadden, Eugene; Petersen, Nils H; Browndyke, Jeffrey; Prendergast, Bernard; Ng, Vivian G; Cutlip, Donald E; Kapadia, Samir; Krucoff, Mitchell W; Linke, Axel; Scala Moy, Claudia; Schofer, Joachim; van Es, Gerrit-Anne; Virmani, Renu; Popma, Jeffrey; Parides, Michael K; Kodali, Susheel; Bilello, Michel; Zivadinov, Robert; Akar, Joseph; Furie, Karen L; Gress, Daryl; Voros, Szilard; Moses, Jeffrey; Greer, David; Forrest, John K; Holmes, David; Kappetein, Arie P; Mack, Michael; Baumbach, Andreas

2018-05-14

Surgical and catheter-based cardiovascular procedures and adjunctive pharmacology have an inherent risk of neurological complications. The current diversity of neurological endpoint definitions and ascertainment methods in clinical trials has led to uncertainties in the neurological risk attributable to cardiovascular procedures and inconsistent evaluation of therapies intended to prevent or mitigate neurological injury. Benefit-risk assessment of such procedures should be on the basis of an evaluation of well-defined neurological outcomes that are ascertained with consistent methods and capture the full spectrum of neurovascular injury and its clinical effect. The Neurologic Academic Research Consortium is an international collaboration intended to establish consensus on the definition, classification, and assessment of neurological endpoints applicable to clinical trials of a broad range of cardiovascular interventions. Systematic application of the proposed definitions and assessments will improve our ability to evaluate the risks of cardiovascular procedures and the safety and effectiveness of preventive therapies.

Future Directions for Cardiovascular Disease Comparative Effectiveness Research

PubMed Central

Hlatky, Mark A; Douglas, Pamela S; Cook, Nakela L; Wells, Barbara; Benjamin, Emelia J; Dickersin, Kay; Goff, David C; Hirsch, Alan T; Hylek, Elaine M; Peterson, Eric; Roger, Véronique L; Selby, Joseph V; Udelson, James E; Lauer, Michael S

2012-01-01

Comparative effectiveness research (CER) aims to provide decision-makers the evidence needed to evaluate the benefits and harms of alternative clinical management strategies. CER has become a national priority, with considerable new research funding allocated. Cardiovascular disease is a priority area for CER. This workshop report provides an overview of CER methods, with an emphasis on practical clinical trials and observational treatment comparisons. The report also details recommendations to the National Heart Lung and Blood Institute for a new framework for evidence development to foster cardiovascular CER, and specific studies to address eight clinical issues identified by the Institute of Medicine as high priorities for cardiovascular CER. PMID:22796257

Fracture healing: A review of clinical, imaging and laboratory diagnostic options.

PubMed

Cunningham, Brian P; Brazina, Sloane; Morshed, Saam; Miclau, Theodore

2017-06-01

A fundamental issue in clinical orthopaedics is the determination of when a fracture is united. However, there are no established "gold standards," nor standardized methods for assessing union, which has resulted in significant disagreement among orthopaedic surgeons in both clinical practice and research. A great deal of investigative work has been directed to addressing this problem, with a number of exciting new techniques described. This review provides a brief summary of the burden of nonunion fractures and addresses some of the challenges related to the assessment of fracture healing. The tools currently available to determine union are discussed, including various imaging modalities, biomechanical testing methods, and laboratory and clinical assessments. The evaluation of fracture healing in the setting of both patient care and clinical research is integral to the orthopaedic practice. Weighted integration of several available metrics must be considered to create a composite outcome measure of patient prognosis. Copyright © 2017 Elsevier Ltd. All rights reserved.

[Discussion on efficacy evaluation thought and method for innovation medicine of Chinese herbal compound formula based on clinical application characteristics].

PubMed

Sun, Jian-Ning; Sun, Wen-Yan; Dong, Shi-Fen

2017-03-01

The Chinese herbal compound formula preparation was made based on theory of Chinese medicine, which was confirmed by long period clinical application, and with multi-compound and multi-target characteristics. During the exploitation process of innovation medicine of Chinese herbal compound formula, selecting and speeding up the research development of drugs with clinical value shall be paid more attention, and as request of rules involved in new drug research and development, the whole process management should be carried out, including project evaluation, manufacturing process determination, establishment of quality control standards, evaluation for pharmacological and toxic effect, as well as new drug application process. This reviews was aimed to give some proposals for pharmacodynamics research methods involved in exploration of Chinese herbal compound formula preparation, including： ①the endpoint criteria should meet the clinical attribution of new drugs; ②the pre-clinical pharmacodynamics evaluation should be carried on appropriate animal models according to the characteristics of diagnosis and therapy of Chinese medicine and observation indexes; ③during the innovation of drug for infants and children, information on drug action conforming to physiological characteristics of infants and children should be supplied, and the pharmacodynamics and toxicology research shall be conducted in immature rats according to the body weight of children. In a summary, the clinical application characteristics are the important criteria for evaluation of pharmacological effect of innovation medicine of Chinese herbal compound formula. Copyright© by the Chinese Pharmaceutical Association.

Factors and outcomes of decision making for cancer clinical trial participation.

PubMed

Biedrzycki, Barbara A

2011-09-01

To describe factors and outcomes related to the decision-making process regarding participation in a cancer clinical trial. Cross-sectional, descriptive. Urban, academic, National Cancer Institute-designated comprehensive cancer center in the mid-Atlantic United States. 197 patients with advanced gastrointestinal cancer. Mailed survey using one investigator-developed instrument, eight instruments used in published research, and a medical record review. disease context, sociodemographics, hope, quality of life, trust in healthcare system, trust in health professional, preference for research decision control, understanding risks, and information. decision to accept or decline research participation and satisfaction with this decision. All of the factors within the Research Decision Making Model together predicted cancer clinical trial participation and satisfaction with this decision. The most frequently preferred decision-making style for research participation was shared (collaborative) (83%). Multiple factors affect decision making for cancer clinical trial participation and satisfaction with this decision. Shared decision making previously was an unrecognized factor and requires further investigation. Enhancing the process of research decision making may facilitate an increase in cancer clinical trial enrollment rates. Oncology nurses have unique opportunities as educators and researchers to support shared decision making by those who prefer this method for deciding whether to accept or decline cancer clinical trial participation.

A clinical research analytics toolkit for cohort study.

PubMed

Yu, Yiqin; Zhu, Yu; Sun, Xingzhi; Tao, Ying; Zhang, Shuo; Xu, Linhao; Pan, Yue

2012-01-01

This paper presents a clinical informatics toolkit that can assist physicians to conduct cohort studies effectively and efficiently. The toolkit has three key features: 1) support of procedures defined in epidemiology, 2) recommendation of statistical methods in data analysis, and 3) automatic generation of research reports. On one hand, our system can help physicians control research quality by leveraging the integrated knowledge of epidemiology and medical statistics; on the other hand, it can improve productivity by reducing the complexities for physicians during their cohort studies.

Varying ethics rules in clinical research and routine patient care – research ethics committee chairpersons’ views in Finland

PubMed Central

2014-01-01

Background To present empirical data on how the variation in regulating clinical research and patient care was perceived in Finland between 2009 and 2012. Methods Notes of interviews with 22 research ethics committee (REC) chairpersons were analyzed to identify whether differences in the regulation of clinical research and patient care were addressed. REC chairpersons’ opinions on three imaginary cases of clinical research projects challenging current research ethics rules (vignettes) were requested with a questionnaire; 18 of the 22 interviewed chairpersons responded. Results Based on REC chairpersons’ interviews, the differences between care and research regulation were not considered important issues in Finland. In the vignettes, REC chairpersons’ assumptions on how their REC would decide varied in regard to allowing research without informed consent, while solutions that are not allowed by current law were even anticipated. Mostly, but not always, the chairpersons’ own personal view agreed with their REC. Conclusions The distinction between care and research regulation has not been publicly challenged by Finnish RECs, even though it is a challenge when research relevant to health care is carried out. There is a need for debate and changes in laws and practices. PMID:24666735

Aacap 2001 Research Forum: Challenges and Recommendations regarding Recruitment and Retention of Participants in Research Investigations

ERIC Educational Resources Information Center

Hinshaw, Stephen P.; Hoagwood, Kimberly; Jensen, Peter S.; Kratochvil, Christopher; Bickman, Leonard; Clarke, Greg; Abikoff, Howard B.; Atkins, Marc; Vitiello, Benedetto

2004-01-01

Objective: Clinical research depends on the participation of representative samples. At the 2001 Annual Meeting of the American Academy of Child and Adolescent Psychiatry, the Workgroup on Research conducted a research forum with the purpose of improving recruitment and retention of children and adolescents in research protocols. Method: An…

Award for Distinguished Professional Contributions to Applied Research: Luciano L'Abate

ERIC Educational Resources Information Center

American Psychologist, 2009

2009-01-01

Luciano L'Abate, recipient of the Award for Distinguished Professional Contributions to Applied Research, contributed to applied research through the introduction of the laboratory method in clinical psychology assessment and intervention, leading to the development of the first automated playroom, linking play therapy with research in child…

The Mayo Clinic Author Catalog: A Living Repository of Medical Knowledge

PubMed Central

Key, Jack D.; Sholtz, Katherine J.

1973-01-01

Since 1907 records have been kept of publications by staff members of the Mayo Clinic, and this information has been invaluable. The Author Catalog has proved itself such a useful tool for the Mayo Clinic that other libraries, large and small, may wish to consider adopting such a service. The Mayo medical complex is a large institution with more than 500 staff and faculty members engaged in the publication of clinical, educational, and research findings. The great amount of cross-disciplinary cooperation and interdepartmental research makes essential an up-to-date record of what is going on. The Mayo Clinic Library developed a comprehensive computerized method for identifying research and for identifying and indexing publications of Mayo staff members. At the end of 1971 more than 25,000 citations had been stored on computer tape. Images PMID:4122094

Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact.

PubMed

Curran, Geoffrey M; Bauer, Mark; Mittman, Brian; Pyne, Jeffrey M; Stetler, Cheryl

2012-03-01

This study proposes methods for blending design components of clinical effectiveness and implementation research. Such blending can provide benefits over pursuing these lines of research independently; for example, more rapid translational gains, more effective implementation strategies, and more useful information for decision makers. This study proposes a "hybrid effectiveness-implementation" typology, describes a rationale for their use, outlines the design decisions that must be faced, and provides several real-world examples. An effectiveness-implementation hybrid design is one that takes a dual focus a priori in assessing clinical effectiveness and implementation. We propose 3 hybrid types: (1) testing effects of a clinical intervention on relevant outcomes while observing and gathering information on implementation; (2) dual testing of clinical and implementation interventions/strategies; and (3) testing of an implementation strategy while observing and gathering information on the clinical intervention's impact on relevant outcomes. The hybrid typology proposed herein must be considered a construct still in evolution. Although traditional clinical effectiveness and implementation trials are likely to remain the most common approach to moving a clinical intervention through from efficacy research to public health impact, judicious use of the proposed hybrid designs could speed the translation of research findings into routine practice.

A Method of Classifying Tongue Colors for Traditional Chinese Medicine Diagnosis Based on the CIELAB Color Space

NASA Astrophysics Data System (ADS)

Li, Bocong; Huang, Qingmei; Lu, Yan; Chen, Songhe; Liang, Rong; Wang, Zhaoping

Objective tongue color analysis is an important research point for tongue diagnosis in Traditional Chinese Medicine. In this paper a research based on the clinical process of diagnosing tongue color is reported. The color data in RGB color space were first transformed into the data in CIELAB color space, and the color gamut of the displayed tongue was obtained. Then a numerical method of tongue color classification based on the Traditional Chinese Medicine (for example: light white tongue, light red tongue, red tongue) was developed. The conclusion is that this research can give the description and classification of the tongue color close to those given by human vision and may be carried out in clinical diagnosis.

Causal inference from observational data.

PubMed

Listl, Stefan; Jürges, Hendrik; Watt, Richard G

2016-10-01

Randomized controlled trials have long been considered the 'gold standard' for causal inference in clinical research. In the absence of randomized experiments, identification of reliable intervention points to improve oral health is often perceived as a challenge. But other fields of science, such as social science, have always been challenged by ethical constraints to conducting randomized controlled trials. Methods have been established to make causal inference using observational data, and these methods are becoming increasingly relevant in clinical medicine, health policy and public health research. This study provides an overview of state-of-the-art methods specifically designed for causal inference in observational data, including difference-in-differences (DiD) analyses, instrumental variables (IV), regression discontinuity designs (RDD) and fixed-effects panel data analysis. The described methods may be particularly useful in dental research, not least because of the increasing availability of routinely collected administrative data and electronic health records ('big data'). © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

United States Private-Sector Physicians and Pharmaceutical Contract Research: A Qualitative Study

PubMed Central

Fisher, Jill A.; Kalbaugh, Corey A.

2012-01-01

Background There have been dramatic increases over the past 20 years in the number of nonacademic, private-sector physicians who serve as principal investigators on US clinical trials sponsored by the pharmaceutical industry. However, there has been little research on the implications of these investigators' role in clinical investigation. Our objective was to study private-sector clinics involved in US pharmaceutical clinical trials to understand the contract research arrangements supporting drug development, and specifically how private-sector physicians engaged in contract research describe their professional identities. Methods and Findings We conducted a qualitative study in 2003–2004 combining observation at 25 private-sector research organizations in the southwestern United States and 63 semi-structured interviews with physicians, research staff, and research participants at those clinics. We used grounded theory to analyze and interpret our data. The 11 private-sector physicians who participated in our study reported becoming principal investigators on industry clinical trials primarily because contract research provides an additional revenue stream. The physicians reported that they saw themselves as trial practitioners and as businesspeople rather than as scientists or researchers. Conclusions Our findings suggest that in addition to having financial motivation to participate in contract research, these US private-sector physicians have a professional identity aligned with an industry-based approach to research ethics. The generalizability of these findings and whether they have changed in the intervening years should be addressed in future studies. Please see later in the article for the Editors' Summary. PMID:22911055

The current deconstruction of paradoxes: one sign of the ongoing methodological "revolution".

PubMed

Porta, Miquel; Vineis, Paolo; Bolúmar, Francisco

2015-10-01

The current deconstruction of paradoxes is one among several signs that a profound renewal of methods for clinical and epidemiological research is taking place; perhaps for some basic life sciences as well. The new methodological approaches have already deconstructed and explained long puzzling apparent paradoxes, including the (non-existent) benefits of obesity in diabetics, or of smoking in low birth weight. Achievements of the new methods also comprise the elucidation of the causal structure of long-disputed and highly complex questions, as Berkson's bias and Simpson's paradox, and clarifying reasons for deep controversies, as those on estrogens and endometrial cancer, or on adverse effects of hormone replacement therapy. These are signs that the new methods can go deeper and beyond the methods in current use. A major example of a highly relevant idea is: when we condition on a common effect of a pair of variables, then a spurious association between such pair is likely. The implications of these ideas are potentially vast. A substantial number of apparent paradoxes may simply be the result of collider biases, a source of selection bias that is common not just in epidemiologic research, but in many types of research in the health, life, and social sciences. The new approaches develop a new framework of concepts and methods, as collider, instrumental variables, d-separation, backdoor path and, notably, Directed Acyclic Graphs (DAGs). The current theoretical and methodological renewal-or, perhaps, "revolution"-may be changing deeply how clinical and epidemiological research is conceived and performed, how we assess the validity and relevance of findings, and how causal inferences are made. Clinical and basic researchers, among others, should get acquainted with DAGs and related concepts.

Promoting the Self-Regulation of Clinical Reasoning Skills in Nursing Students

PubMed Central

Kuiper, R; Pesut, D; Kautz, D

2009-01-01

Aim: The purpose of this paper is to describe the research surrounding the theories and models the authors united to describe the essential components of clinical reasoning in nursing practice education. The research was conducted with nursing students in health care settings through the application of teaching and learning strategies with the Self-Regulated Learning Model (SRL) and the Outcome-Present-State-Test (OPT) Model of Reflective Clinical Reasoning. Standardized nursing languages provided the content and clinical vocabulary for the clinical reasoning task. Materials and Methods: This descriptive study described the application of the OPT model of clinical reasoning, use of nursing language content, and reflective journals based on the SRL model with 66 undergraduate nursing students over an 8 month period of time. The study tested the idea that self-regulation of clinical reasoning skills can be developed using self-regulation theory and the OPT model. Results: This research supports a framework for effective teaching and learning methods to promote and document learner progress in mastering clinical reasoning skills. Self-regulated Learning strategies coupled with the OPT model suggest benefits of self-observation and self-monitoring during clinical reasoning activities, and pinpoints where guidance is needed for the development of cognitive and metacognitive awareness. Recommendations and Conclusions: Thinking and reasoning about the complexities of patient care needs requires attention to the content, processes and outcomes that make a nursing care difference. These principles and concepts are valuable to clinical decision making for nurses globally as they deal with local, regional, national and international health care issues. PMID:19888432

Preparing clinical pharmacy scientists for careers in clinical/translational research: can we meet the challenge?: ACCP Research Affairs Committee Commentary.

PubMed

Parker, Robert B; Ellingrod, Vicki; DiPiro, Joseph T; Bauman, Jerry L; Blouin, Robert A; Welage, Lynda S

2013-12-01

Developing clinical pharmacists' research skills and their ability to compete for extramural funding is an important component of the American College of Clinical Pharmacy's (ACCP) vision for pharmacists to play a prominent role in generating the new knowledge used to guide patient pharmacotherapy. Given the recent emphasis on clinical/translational research at the National Institutes of Health (NIH) and the key role of drug therapy in the management of many diseases, there is an unprecedented opportunity for the profession to contribute to this enterprise. A crucial question facing the profession is whether we can generate enough appropriately trained scientists to take advantage of these opportunities to generate the new knowledge to advance drug therapy. Since the 2009 publication of the ACCP Research Affairs Committee editorial recommending the Ph.D. degree (as opposed to fellowship training) as the optimal method for preparing pharmacists as clinical/translational scientists, significant changes have occurred in the economic, professional, political, and research environments. As a result, the 2012 ACCP Research Affairs Committee was charged with reexamining the college's position on training clinical pharmacy scientists in the context of these substantial environmental changes. In this commentary, the potential impact of these changes on opportunities for pharmacists in clinical/translational research are discussed as are strategies for ACCP, colleges of pharmacy, and the profession to increase the number and impact of clinical pharmacy scientists. Failure of our profession to take advantage of these opportunities risks our ability to contribute substantively to the biomedical research enterprise and ultimately improve the pharmacotherapy of our patients. © 2013 Pharmacotherapy Publications, Inc.

Understanding requirements of novel healthcare information systems for management of advanced prostate cancer.

PubMed

Wagholikar, Amol S; Fung, Maggie; Nelson, Colleen C

2012-01-01

Effective management of chronic diseases is a global health priority. A healthcare information system offers opportunities to address challenges of chronic disease management. However, the requirements of health information systems are often not well understood. The accuracy of requirements has a direct impact on the successful design and implementation of a health information system. Our research describes methods used to understand the requirements of health information systems for advanced prostate cancer management. The research conducted a survey to identify heterogeneous sources of clinical records. Our research showed that the General Practitioner was the common source of patient's clinical records (41%) followed by the Urologist (14%) and other clinicians (14%). Our research describes a method to identify diverse data sources and proposes a novel patient journey browser prototype that integrates disparate data sources.

Analyzing Multiple Outcomes in Clinical Research Using Multivariate Multilevel Models

PubMed Central

Baldwin, Scott A.; Imel, Zac E.; Braithwaite, Scott R.; Atkins, David C.

2014-01-01

Objective Multilevel models have become a standard data analysis approach in intervention research. Although the vast majority of intervention studies involve multiple outcome measures, few studies use multivariate analysis methods. The authors discuss multivariate extensions to the multilevel model that can be used by psychotherapy researchers. Method and Results Using simulated longitudinal treatment data, the authors show how multivariate models extend common univariate growth models and how the multivariate model can be used to examine multivariate hypotheses involving fixed effects (e.g., does the size of the treatment effect differ across outcomes?) and random effects (e.g., is change in one outcome related to change in the other?). An online supplemental appendix provides annotated computer code and simulated example data for implementing a multivariate model. Conclusions Multivariate multilevel models are flexible, powerful models that can enhance clinical research. PMID:24491071

Attention bias modification for anxiety and phobias: current status and future directions.

PubMed

Kuckertz, Jennie M; Amir, Nader

2015-02-01

Attention bias modification (ABM) was introduced over a decade ago as a computerized method of manipulating attentional bias and has been followed by intense interest in applying ABM for clinical purposes. While meta-analyses support ABM as a method of modifying attentional biases and reducing anxiety symptoms, there have been notable discrepancies in findings published within the last several years. In this review, we comment on recent research that may help explain some of the inconsistencies across ABM studies. More relevant to the future of ABM research, we highlight areas in which continuing research is needed. We suggest that ABM appears to be a promising treatment for anxiety disorders, but relative to other interventions, ABM is in its infancy. Thus, research is needed in order to improve ABM as a clinical treatment and advance the psychological science of ABM.

[Exploration on method and strategy of Gegen decoction from its novel application in primary dysmenorrhea].

PubMed

Chai, Cheng-Zhi; Yu, Bo-Yang

2018-06-01

Many classical prescriptions still have superior clinical values nowadays, and their modern studies also have far-reaching scientific research demonstration values. Gegen decoction, a representative prescription for common cold due to wind-cold, can treat primary dysmenorrhea due to cold and dampness, characterized by continuous administration without recurrence. It is not only in accordance with the principle of homotherapy for heteropathy, but also demonstrates the unique feature of traditional Chinese medicine of relieving the primary and secondary symptoms simultaneously. This article aimed to discuss the method and strategy of Gegen decoction study based on the discovery of its novel application in treatment of primary dysmenorrhea and previous research progress of our group. It was assumed that modern medicine and biology studies, as well as chemical research based on biological activity should be used for reference. Principal active ingredients (groups) in Gegen decoction could be accurately and effectively identified, and its possible mechanism in treatment of primary dysmenorrhea could be eventually elucidated as well. Simultaneously, the theoretical and clinical advantages of traditional Chinese medicine were explored in this paper, focusing on the compatibility characteristics of Gegen decoction. The research hypothesis showed the necessity of following the characteristics and advantages of traditional Chinese medicine in the modern research and reflected the importance of basic research based on the clinical efficacy, expecting to provide some ideas and methods for reference for further modern studies of classical prescriptions. Copyright© by the Chinese Pharmaceutical Association.

Parturition prediction and timing of canine pregnancy

PubMed Central

Kim, YeunHee; Travis, Alexander J.; Meyers-Wallen, Vicki N.

2007-01-01

An accurate method of predicting the date of parturition in the bitch is clinically useful to minimize or prevent reproductive losses by timely intervention. Similarly, an accurate method of timing canine ovulation and gestation is critical for development of assisted reproductive technologies, e.g. estrous synchronization and embryo transfer. This review discusses present methods for accurately timing canine gestational age and outlines their use in clinical management of high-risk pregnancies and embryo transfer research. PMID:17904630

The Acceptability Among Health Researchers and Clinicians of Social Media to Translate Research Evidence to Clinical Practice: Mixed-Methods Survey and Interview Study

PubMed Central

Tunnecliff, Jacqueline; Ilic, Dragan; Morgan, Prue; Keating, Jennifer; Gaida, James E; Clearihan, Lynette; Sadasivan, Sivalal; Davies, David; Ganesh, Shankar; Mohanty, Patitapaban; Weiner, John; Reynolds, John

2015-01-01

Background Establishing and promoting connections between health researchers and health professional clinicians may help translate research evidence to clinical practice. Social media may have the capacity to enhance these connections. Objective The aim of this study was to explore health researchers’ and clinicians’ current use of social media and their beliefs and attitudes towards the use of social media for communicating research evidence. Methods This study used a mixed-methods approach to obtain qualitative and quantitative data. Participation was open to health researchers and clinicians. Data regarding demographic details, current use of social media, and beliefs and attitudes towards the use of social media for professional purposes were obtained through an anonymous Web-based survey. The survey was distributed via email to research centers, educational and clinical institutions, and health professional associations in Australia, India, and Malaysia. Consenting participants were stratified by country and role and selected at random for semistructured telephone interviews to explore themes arising from the survey. Results A total of 856 participants completed the questionnaire with 125 participants declining to participate, resulting in a response rate of 87.3%. 69 interviews were conducted with participants from Australia, India, and Malaysia. Social media was used for recreation by 89.2% (749/840) of participants and for professional purposes by 80.0% (682/852) of participants. Significant associations were found between frequency of professional social media use and age, gender, country of residence, and graduate status. Over a quarter (26.9%, 229/852) of participants used social media for obtaining research evidence, and 15.0% (128/852) of participants used social media for disseminating research evidence. Most participants (95.9%, 810/845) felt there was a role for social media in disseminating or obtaining research evidence. Over half of the participants (449/842, 53.3%) felt they had a need for training in the use of social media for professional development. A key barrier to the professional use of social media was concerns regarding trustworthiness of information. Conclusions A large majority of health researchers and clinicians use social media in recreational and professional contexts. Social media is less frequently used for communication of research evidence. Training in the use of social media for professional development and methods to improve the trustworthiness of information obtained via social media may enhance the utility of social media for communicating research evidence. Future studies should investigate the efficacy of social media in translating research evidence to clinical practice. PMID:25995192

Manufacturing/Cell Therapy Specialist | Center for Cancer Research

Cancer.gov

Within the Leidos Biomedical Research Inc.’s Clinical Research Directorate, the Clinical Monitoring Research Program (CMRP) provides high-quality comprehensive and strategic operational support to the high-profile domestic and international clinical research initiatives of the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases (NIAID), Clinical Center (CC), National Institute of Heart, Lung and Blood Institute (NHLBI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Center for Advancing Translational Sciences (NCATS), National Institute of Neurological Disorders and Stroke (NINDS), and the National Institute of Mental Health (NIMH). Since its inception in 2001, CMRP’s ability to provide rapid responses, high-quality solutions, and to recruit and retain experts with a variety of backgrounds to meet the growing research portfolios of NCI, NIAID, CC, NHLBI, NIAMS, NCATS, NINDS, and NIMH has led to the considerable expansion of the program and its repertoire of support services. CMRP’s support services are strategically aligned with the program’s mission to provide comprehensive, dedicated support to assist National Institutes of Health researchers in providing the highest quality of clinical research in compliance with applicable regulations and guidelines, maintaining data integrity, and protecting human subjects. For the scientific advancement of clinical research, CMRP services include comprehensive clinical trials, regulatory, pharmacovigilance, protocol navigation and development, and programmatic and project management support for facilitating the conduct of 400+ Phase I, II, and III domestic and international trials on a yearly basis. These trials investigate the prevention, diagnosis, treatment of, and therapies for cancer, influenza, HIV, and other infectious diseases and viruses such as hepatitis C, tuberculosis, malaria, and Ebola virus; heart, lung, and blood diseases and conditions; parasitic infections; rheumatic and inflammatory diseases; and rare and neglected diseases. CMRP’s collaborative approach to clinical research and the expertise and dedication of staff to the continuation and success of the program’s mission has contributed to improving the overall standards of public health on a global scale. The Clinical Monitoring Research Program (CMRP) provides cell culture experience to work on innovative Vector Production and T-cell therapies for cancer treatment, and responsible for cell culture media preparation, vector production, and/or cell processing and cell expansion in the cGMP clinical manufacturing facility in support of the National Cancer Institute’s (NCI’s), Center for Cancer Research (CCR), Surgery Branch (SB). KEY ROLES/RESPONSIBILITIES-THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL Performs testing of raw materials, intermediates, and final products by following analytical methods Maintains, calibrates and operates equipment and instruments supporting cell bioassays, Flow Cytometry, ELISA and PCR assay Tracks and tests products according to protocols Maintains lab in an optimal state Monitors and trends data, completes routine record review of test data and related documents for in-process testing, drug substance and drug product release Generates CoAs for product release Assists in the preparation of dossiers and data packages for interactions between Surgery Branch and Regulatory agencies Develops, revises, and reviews SOPs, qualification/validation protocols and reports Participates in investigations regarding out of specifications (OOS) results; address and manage deviations related to analytical procedures Provides updates at daily and weekly meetings Monitors the GMP systems currently in place to ensure compliance with documented policies Reviews proposed changes to systems, procedures, methods, and submissions to regulatory agencies, as appropriate Gathers metric information for use in continuous improvement of areas of responsibility May develop testing and analysis methods and procedures in accordance with established guidelines

Vertebral rotation measurement: a summary and comparison of common radiographic and CT methods

PubMed Central

Lam, Gabrielle C; Hill, Doug L; Le, Lawrence H; Raso, Jim V; Lou, Edmond H

2008-01-01

Current research has provided a more comprehensive understanding of Adolescent Idiopathic Scoliosis (AIS) as a three-dimensional spinal deformity, encompassing both lateral and rotational components. Apart from quantifying curve severity using the Cobb angle, vertebral rotation has become increasingly prominent in the study of scoliosis. It demonstrates significance in both preoperative and postoperative assessment, providing better appreciation of the impact of bracing or surgical interventions. In the past, the need for computer resources, digitizers and custom software limited studies of rotation to research performed after a patient left the scoliosis clinic. With advanced technology, however, rotation measurements are now more feasible. While numerous vertebral rotation measurement methods have been developed and tested, thorough comparisons of these are still relatively unexplored. This review discusses the advantages and disadvantages of six common measurement techniques based on technology most pertinent in clinical settings: radiography (Cobb, Nash-Moe, Perdriolle and Stokes' method) and computer tomography (CT) imaging (Aaro-Dahlborn and Ho's method). Better insight into the clinical suitability of rotation measurement methods currently available is presented, along with a discussion of critical concerns that should be addressed in future studies and development of new methods. PMID:18976498

Application of Higuchi's fractal dimension from basic to clinical neurophysiology: A review.

PubMed

Kesić, Srdjan; Spasić, Sladjana Z

2016-09-01

For more than 20 years, Higuchi's fractal dimension (HFD), as a nonlinear method, has occupied an important place in the analysis of biological signals. The use of HFD has evolved from EEG and single neuron activity analysis to the most recent application in automated assessments of different clinical conditions. Our objective is to provide an updated review of the HFD method applied in basic and clinical neurophysiological research. This article summarizes and critically reviews a broad literature and major findings concerning the applications of HFD for measuring the complexity of neuronal activity during different neurophysiological conditions. The source of information used in this review comes from the PubMed, Scopus, Google Scholar and IEEE Xplore Digital Library databases. The review process substantiated the significance, advantages and shortcomings of HFD application within all key areas of basic and clinical neurophysiology. Therefore, the paper discusses HFD application alone, combined with other linear or nonlinear measures, or as a part of automated methods for analyzing neurophysiological signals. The speed, accuracy and cost of applying the HFD method for research and medical diagnosis make it stand out from the widely used linear methods. However, only a combination of HFD with other nonlinear methods ensures reliable and accurate analysis of a wide range of neurophysiological signals. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Explant culture: An advantageous method for isolation of mesenchymal stem cells from human tissues.

PubMed

Hendijani, Fatemeh

2017-04-01

Mesenchymal stem cell (MSC) research progressively moves towards clinical phases. Accordingly, a wide range of different procedures were presented in the literature for MSC isolation from human tissues; however, there is not yet any close focus on the details to offer precise information for best method selection. Choosing a proper isolation method is a critical step in obtaining cells with optimal quality and yield in companion with clinical and economical considerations. In this concern, current review widely discusses advantages of omitting proteolysis step in isolation process and presence of tissue pieces in primary culture of MSCs, including removal of lytic stress on cells, reduction of in vivo to in vitro transition stress for migrated/isolated cells, reduction of price, processing time and labour, removal of viral contamination risk, and addition of supporting functions of extracellular matrix and released growth factors from tissue explant. In next sections, it provides an overall report of technical highlights and molecular events of explant culture method for isolation of MSCs from human tissues including adipose tissue, bone marrow, dental pulp, hair follicle, cornea, umbilical cord and placenta. Focusing on informative collection of molecular and methodological data about explant methods can make it easy for researchers to choose an optimal method for their experiments/clinical studies and also stimulate them to investigate and optimize more efficient procedures according to clinical and economical benefits. © 2017 John Wiley & Sons Ltd.

Detecting clinically relevant new information in clinical notes across specialties and settings.

PubMed

Zhang, Rui; Pakhomov, Serguei V S; Arsoniadis, Elliot G; Lee, Janet T; Wang, Yan; Melton, Genevieve B

2017-07-05

Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and clinical research, respectively. We evaluated methods to automatically identify clinically relevant new information in clinical notes, and compared the quantity of redundant information across specialties and clinical settings. Statistical language models augmented with semantic similarity measures were evaluated as a means to detect and quantify clinically relevant new and redundant information over longitudinal clinical notes for a given patient. A corpus of 591 progress notes over 40 inpatient admissions was annotated for new information longitudinally by physicians to generate a reference standard. Note redundancy between various specialties was evaluated on 71,021 outpatient notes and 64,695 inpatient notes from 500 solid organ transplant patients (April 2015 through August 2015). Our best method achieved at best performance of 0.87 recall, 0.62 precision, and 0.72 F-measure. Addition of semantic similarity metrics compared to baseline improved recall but otherwise resulted in similar performance. While outpatient and inpatient notes had relatively similar levels of high redundancy (61% and 68%, respectively), redundancy differed by author specialty with mean redundancy of 75%, 66%, 57%, and 55% observed in pediatric, internal medicine, psychiatry and surgical notes, respectively. Automated techniques with statistical language models for detecting redundant versus clinically relevant new information in clinical notes do not improve with the addition of semantic similarity measures. While levels of redundancy seem relatively similar in the inpatient and ambulatory settings in the Fairview Health Services, clinical note redundancy appears to vary significantly with different medical specialties.

Children with ADHD and Depression: A Multisource, Multimethod Assessment of Clinical, Social, and Academic Functioning

ERIC Educational Resources Information Center

Blackman, Gabrielle L.; Ostrander, Rick; Herman, Keith C.

2005-01-01

Although ADHD and depression are common comorbidities in youth, few studies have examined this particular clinical presentation. To address method bias limitations of previous research, this study uses multiple informants to compare the academic, social, and clinical functioning of children with ADHD, children with ADHD and depression, and…

Advances in Statistical Methods for Substance Abuse Prevention Research

PubMed Central

MacKinnon, David P.; Lockwood, Chondra M.

2010-01-01

The paper describes advances in statistical methods for prevention research with a particular focus on substance abuse prevention. Standard analysis methods are extended to the typical research designs and characteristics of the data collected in prevention research. Prevention research often includes longitudinal measurement, clustering of data in units such as schools or clinics, missing data, and categorical as well as continuous outcome variables. Statistical methods to handle these features of prevention data are outlined. Developments in mediation, moderation, and implementation analysis allow for the extraction of more detailed information from a prevention study. Advancements in the interpretation of prevention research results include more widespread calculation of effect size and statistical power, the use of confidence intervals as well as hypothesis testing, detailed causal analysis of research findings, and meta-analysis. The increased availability of statistical software has contributed greatly to the use of new methods in prevention research. It is likely that the Internet will continue to stimulate the development and application of new methods. PMID:12940467

Ethnographic process evaluation in primary care: explaining the complexity of implementation.

PubMed

Bunce, Arwen E; Gold, Rachel; Davis, James V; McMullen, Carmit K; Jaworski, Victoria; Mercer, MaryBeth; Nelson, Christine

2014-12-05

The recent growth of implementation research in care delivery systems has led to a renewed interest in methodological approaches that deliver not only intervention outcome data but also deep understanding of the complex dynamics underlying the implementation process. We suggest that an ethnographic approach to process evaluation, when informed by and integrated with quantitative data, can provide this nuanced insight into intervention outcomes. The specific methods used in such ethnographic process evaluations are rarely presented in detail; our objective is to stimulate a conversation around the successes and challenges of specific data collection methods in health care settings. We use the example of a translational clinical trial among 11 community clinics in Portland, OR that are implementing an evidence-based, health-information technology (HIT)-based intervention focused on patients with diabetes. Our ethnographic process evaluation employed weekly diaries by clinic-based study employees, observation, informal and formal interviews, document review, surveys, and group discussions to identify barriers and facilitators to implementation success, provide insight into the quantitative study outcomes, and uncover lessons potentially transferable to other implementation projects. These methods captured the depth and breadth of factors contributing to intervention uptake, while minimizing disruption to clinic work and supporting mid-stream shifts in implementation strategies. A major challenge is the amount of dedicated researcher time required. The deep understanding of the 'how' and 'why' behind intervention outcomes that can be gained through an ethnographic approach improves the credibility and transferability of study findings. We encourage others to share their own experiences with ethnography in implementation evaluation and health services research, and to consider adapting the methods and tools described here for their own research.

Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass-Spectrometry (MALDI-TOF MS) Based Microbial Identifications: Challenges and Scopes for Microbial Ecologists

PubMed Central

Rahi, Praveen; Prakash, Om; Shouche, Yogesh S.

2016-01-01

Matrix-assisted laser desorption/ionization time-of-flight mass-spectrometry (MALDI-TOF MS) based biotyping is an emerging technique for high-throughput and rapid microbial identification. Due to its relatively higher accuracy, comprehensive database of clinically important microorganisms and low-cost compared to other microbial identification methods, MALDI-TOF MS has started replacing existing practices prevalent in clinical diagnosis. However, applicability of MALDI-TOF MS in the area of microbial ecology research is still limited mainly due to the lack of data on non-clinical microorganisms. Intense research activities on cultivation of microbial diversity by conventional as well as by innovative and high-throughput methods has substantially increased the number of microbial species known today. This important area of research is in urgent need of rapid and reliable method(s) for characterization and de-replication of microorganisms from various ecosystems. MALDI-TOF MS based characterization, in our opinion, appears to be the most suitable technique for such studies. Reliability of MALDI-TOF MS based identification method depends mainly on accuracy and width of reference databases, which need continuous expansion and improvement. In this review, we propose a common strategy to generate MALDI-TOF MS spectral database and advocated its sharing, and also discuss the role of MALDI-TOF MS based high-throughput microbial identification in microbial ecology studies. PMID:27625644

Reporting standards for Bland-Altman agreement analysis in laboratory research: a cross-sectional survey of current practice.

PubMed

Chhapola, Viswas; Kanwal, Sandeep Kumar; Brar, Rekha

2015-05-01

To carry out a cross-sectional survey of the medical literature on laboratory research papers published later than 2012 and available in the common search engines (PubMed, Google Scholar) on the quality of statistical reporting of method comparison studies using Bland-Altman (B-A) analysis. Fifty clinical studies were identified which had undertaken method comparison of laboratory analytes using B-A. The reporting of B-A was evaluated using a predesigned checklist with following six items: (1) correct representation of x-axis on B-A plot, (2) representation and correct definition of limits of agreement (LOA), (3) reporting of confidence interval (CI) of LOA, (4) comparison of LOA with a priori defined clinical criteria, (5) evaluation of the pattern of the relationship between difference (y-axis) and average (x-axis) and (6) measures of repeatability. The x-axis and LOA were presented correctly in 94%, comparison with a priori clinical criteria in 74%, CI reporting in 6%, evaluation of pattern in 28% and repeatability assessment in 38% of studies. There is incomplete reporting of B-A in published clinical studies. Despite its simplicity, B-A appears not to be completely understood by researchers, reviewers and editors of journals. There appear to be differences in the reporting of B-A between laboratory medicine journals and other clinical journals. A uniform reporting of B-A method will enhance the generalizability of results. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Researchers’ and Clinicians’ Perceptions of Recruiting Participants to Clinical Research: A Thematic Meta-Synthesis

PubMed Central

Newington, Lisa; Metcalfe, Alison

2014-01-01

Background Recruiting the desired number of research participants is frequently problematic with resulting financial and clinical implications. The views of individuals responsible for participant recruitment have not been previously reviewed. This systematic review and thematic meta-synthesis explores researchers’ and clinicians’ experiences and perceptions of recruiting participants to clinical research, with the aim of informing improved recruitment systems and strategies. Methods Studies published between January 1995 and May 2013 were identified from: Ovid MEDLINE, Ovid EMBASE, Ovid PSYCHINFO, ASSIA, British Nursing Index, Scopus, Web of Science, CINAHL and PubMed. Included studies were original peer reviewed research, with qualitative methodologies and an aim of exploring the views of clinicians and/or researchers on recruitment to clinical research. Studies discussing the recruitment of patients unable to give informed consent were excluded. The findings sections of the relevant studies were free coded to identify key concepts which were grouped into hierarchical themes. The quality of the identified studies was assessed and the relative contribution of each paper was checked to ensure individual studies did not dominate in any theme. Results Eighteen relevant papers were identified which examined the views of researchers and clinicians in 10 clinical specialties. Five main themes emerged: building a research community, securing resources, the nature of research, professional identities and recruitment strategies. The views of researchers and clinicians were similar, although the role of ‘researcher’ was inconsistently defined. Conclusions The general experience of recruiting participants to clinical research was one of competition and compromise. Competition arose over funding, staffing and participants, and between clinical and research responsibilities. Compromise was needed to create study designs that were acceptable to patients, clinicians and researchers. Forging relationships between clinical and research teams featured extensively, however the involvement of patients and the public within the research community was rarely discussed. PMID:24734142

Using Virtual Social Networks for Case Finding in Clinical Studies: An Experiment from Adolescence, Brain, Cognition, and Diabetes Study.

PubMed

Pourabbasi, Ata; Farzami, Jalal; Shirvani, Mahbubeh-Sadat Ebrahimnegad; Shams, Amir Hossein; Larijani, Bagher

2017-01-01

One of the main usages of social networks in clinical studies is facilitating the process of sampling and case finding for scientists. The main focus of this study is on comparing two different methods of sampling through phone calls and using social network, for study purposes. One of the researchers started calling 214 families of children with diabetes during 90 days. After this period, phone calls stopped, and the team started communicating with families through telegram, a virtual social network for 30 days. The number of children who participated in the study was evaluated. Although the telegram method was 60 days shorter than the phone call method, researchers found that the number of participants from telegram (17.6%) did not have any significant differences compared with the ones being phone called (12.9%). Using social networks can be suggested as a beneficial method for local researchers who look for easier sampling methods, winning their samples' trust, following up with the procedure, and an easy-access database.

An evidence-based guide to clinical instruction in audiology.

PubMed

Mormer, Elaine; Palmer, Catherine; Messick, Cheryl; Jorgensen, Lindsey

2013-05-01

A significant portion of the AuD curriculum occurs in clinical settings outside the classroom. Expert clinicians, employed within and outside of the university, are called upon to provide this clinical education. Most have had little or no formal training in clinical teaching yet face pedagogical and logistical challenges when simultaneously providing clinical service and teaching. Training to provide optimal methods and approaches to clinical instruction should be based on research evidence; however, there is a paucity of research in this area within the audiology discipline. This article provides a review of literature supplying evidence for important concepts, elements, and approaches to the clinical instruction process. Additionally, we provide readers with some practical tools with which to facilitate application of optimal clinical teaching principles. We conducted a systematic review of literature on clinical education in audiology and across a wide array of health professions. Through the use of content analysis we identified four elements of the clinical teaching process most critical in examining optimal practices. The elements identified as critical to positive clinical learning outcomes include the establishment of mutual expectations and goals; structured content and delivery of feedback; establishment of a positive instructor/student relationship; and questioning strategies that lead to the development of critical thinking skills. Many disciplines outside of audiology demonstrate robust research activity related to understanding and optimizing the clinical education process. The application of a number of evidence-based clinical teaching principles should allow us to improve student outcomes in audiology. Researchers in our field might consider if and how we should develop our own research literature in clinical education. American Academy of Audiology.

Clinical research in small genomically stratified patient populations.

PubMed

Martin-Liberal, J; Rodon, J

2017-07-01

The paradigm of early drug development in cancer is shifting from 'histology-oriented' to 'molecularly oriented' clinical trials. This change can be attributed to the vast amount of tumour biology knowledge generated by large international research initiatives such as The Cancer Genome Atlas (TCGA) and the use of next generation sequencing (NGS) techniques developed in recent years. However, targeting infrequent molecular alterations entails a series of special challenges. The optimal molecular profiling method, the lack of standardised biological thresholds, inter- and intra-tumor heterogeneity, availability of enough tumour material, correct clinical trials design, attrition rate, logistics or costs are only some of the issues that need to be taken into consideration in clinical research in small genomically stratified patient populations. This article examines the most relevant challenges inherent to clinical research in these populations. Moreover, perspectives from the Academia point of view are reviewed as well as initiatives to be taken in forthcoming years. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment.

PubMed

Hemmsen, Martin Christian; Lange, Theis; Brandt, Andreas Hjelm; Nielsen, Michael Bachmann; Jensen, Jorgen Arendt

2017-01-01

This paper discusses the methods for the assessment of ultrasound image quality based on our experiences with evaluating new methods for anatomic imaging. It presents a methodology to ensure a fair assessment between competing imaging methods using clinically relevant evaluations. The methodology is valuable in the continuing process of method optimization and guided development of new imaging methods. It includes a three phased study plan covering from initial prototype development to clinical assessment. Recommendations to the clinical assessment protocol, software, and statistical analysis are presented. Earlier uses of the methodology has shown that it ensures validity of the assessment, as it separates the influences between developer, investigator, and assessor once a research protocol has been established. This separation reduces confounding influences on the result from the developer to properly reveal the clinical value. This paper exemplifies the methodology using recent studies of synthetic aperture sequential beamforming tissue harmonic imaging.

Journal of the American Board of Family Medicine Sixth Annual Practice-based Research Network theme issue--They just keep getting better and better.

PubMed

Bowman, Marjorie A; Neale, Anne Victoria

2011-01-01

We have quite a rich issue this month related to practice-based research networks (PBRNs)--reflections on where they have been, where they should go, how they should happen; lessons learned about recruiting physicians and patients and new research methods; and several clinical studies from existing PBRNs. We had an amazing number of manuscripts submitted this year for the PBRN issue; as a result, this is a powerful issue. Some are under revision for future issues of the Journal of the American Board of Family Medicine, just as we have some articles from PBRNs appearing in most issues. PBRNs have deepened the family medicine research tradition. The importance of primary care research to build the evidence base of our clinical practice, plus the useful work building the methods of primary care research, distinguishes the pioneers in PBRNs. PBRNs are Health Improvement Networks and national treasures to be nurtured.

NAA For Human Serum Analysis: Comparison With Conventional Analyses

DOE Office of Scientific and Technical Information (OSTI.GOV)

Oliveira, Laura C.; Zamboni, Cibele B.; Medeiros, Jose A. G.

2010-08-04

Instrumental and Comparator methods of Neutron Activation Analysis (NAA) were applied to determine elements of clinical relevancy in serum samples of adult population (Sao Paulo city, Brazil). A comparison with the conventional analyses, Colorimetric for calcium, Titrymetric for chlorine and Ion Specific Electrode for sodium and potassium determination were also performed permitting a discussion about the performance of NAA methods for clinical chemistry research.

Classroom to Clinic: Merging Education and Research to Efficiently Prototype Medical Devices

PubMed Central

Begg, Nikolai D.; Walsh, Conor; Custer, David; Gupta, Rajiv; Osborn, Lynn R.; Slocum, Alexander H.

2013-01-01

Innovation in patient care requires both clinical and technical skills, and this paper presents the methods and outcomes of a nine-year, clinical-academic collaboration to develop and evaluate new medical device technologies, while teaching mechanical engineering. Together, over the course of a single semester, seniors, graduate students, and clinicians conceive, design, build, and test proof-of-concept prototypes. Projects initiated in the course have generated intellectual property and peer-reviewed publications, stimulated further research, furthered student and clinician careers, and resulted in technology licenses and start-up ventures. PMID:27170859

Classroom to Clinic: Merging Education and Research to Efficiently Prototype Medical Devices.

PubMed

Hanumara, Nevan C; Begg, Nikolai D; Walsh, Conor; Custer, David; Gupta, Rajiv; Osborn, Lynn R; Slocum, Alexander H

2013-01-01

Innovation in patient care requires both clinical and technical skills, and this paper presents the methods and outcomes of a nine-year, clinical-academic collaboration to develop and evaluate new medical device technologies, while teaching mechanical engineering. Together, over the course of a single semester, seniors, graduate students, and clinicians conceive, design, build, and test proof-of-concept prototypes. Projects initiated in the course have generated intellectual property and peer-reviewed publications, stimulated further research, furthered student and clinician careers, and resulted in technology licenses and start-up ventures.

Effective stakeholder participation in setting research priorities using a Global Evidence Mapping approach.

PubMed

Clavisi, Ornella; Bragge, Peter; Tavender, Emma; Turner, Tari; Gruen, Russell L

2013-05-01

We present a multistep process for identifying priority research areas in rehabilitation and long-term care of traumatic brain-injured (TBI) patients. In particular, we aimed to (1) identify which stakeholders should be involved; (2) identify what methods are appropriate; (3) examine different criteria for the generation of research priority areas; and (4) test the feasibility of linkage and exchange among researchers, decision makers, and other potential users of the research. Potential research questions were identified and developed using an initial scoping meeting and preliminary literature search, followed by a facilitated mapping workshop and an online survey. Identified research questions were then prioritized against specific criteria (clinical importance, novelty, and controversy). Existing evidence was then mapped to the high-priority questions using usual processes for search, screening, and selection. A broad range of stakeholders were then brought together at a forum to identify priority research themes for future research investment. Using clinical and research leaders, smaller targeted planning workshops prioritized specific research projects for each of the identified themes. Twenty-six specific questions about TBI rehabilitation were generated, 14 of which were high priority. No one method identified all high-priority questions. Methods that relied solely on the views of clinicians and researchers identified fewer high-priority questions compared with methods that used broader stakeholder engagement. Evidence maps of these high-priority questions yielded a number of evidence gaps. Priority questions and evidence maps were then used to inform a research forum, which identified 12 priority themes for future research. Our research demonstrates the value of a multistep and multimethod process involving many different types of stakeholders for prioritizing research to improve the rehabilitation outcomes of people who have suffered TBI. Enhancing stakeholder representation can be augmented using a combination of methods and a process of linkage and exchange. This process can inform decisions about prioritization of research areas. Copyright © 2013 Elsevier Inc. All rights reserved.

Supporting new graduate professional development: a clinical learning framework.

PubMed

Fitzgerald, Cate; Moores, Alis; Coleman, Allison; Fleming, Jennifer

2015-02-01

New graduate occupational therapists are required to competently deliver health-care practices within complex care environments. An occupational therapy clinical education programme within a large public sector health service sought to investigate methods to support new graduates in their clinical learning and professional development. Three cycles of an insider action research approach each using the steps of planning, action, critical observation and reflection were undertaken to investigate new graduate learning strategies, develop a learning framework and pilot its utility. Qualitative research methods were used to analyse data gathered during the action research cycles. Action research identified variations in current practices to support new graduate learning and to the development of the Occupational Therapy Clinical Learning Framework (OTCLF). Investigation into the utility of the OTCLF revealed two themes associated with its implementation namely (i) contribution to learning goal development and (ii) compatibility with existing learning supports. The action research cycles aimed to review current practices to support new graduate learning. The learning framework developed encourages reflection to identify learning needs and the review, discussion of, and engagement in, goal setting and learning strategies. Preliminary evidence indicates that the OTCLF has potential as an approach to guide new graduate goal development supported by supervision. Future opportunity to implement a similar learning framework in other allied health professions was identified, enabling a continuation of the cyclical nature of enquiry, integral to this research approach within the workplace. © 2014 Occupational Therapy Australia.

77 FR 31625 - Center For Scientific Review; Notice of Closed Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-29

... Integrated Review Group, Biostatistical Methods and Research Design Study Section. Date: June 22, 2012. Time... Domestic Assistance Program Nos. 93.306, Comparative Medicine; 93.333, Clinical Research, 93.306, 93.333...

Linking quality indicators to clinical trials: an automated approach

PubMed Central

Coiera, Enrico; Choong, Miew Keen; Tsafnat, Guy; Hibbert, Peter; Runciman, William B.

2017-01-01

Abstract Objective Quality improvement of health care requires robust measurable indicators to track performance. However identifying which indicators are supported by strong clinical evidence, typically from clinical trials, is often laborious. This study tests a novel method for automatically linking indicators to clinical trial registrations. Design A set of 522 quality of care indicators for 22 common conditions drawn from the CareTrack study were automatically mapped to outcome measures reported in 13 971 trials from ClinicalTrials.gov. Intervention Text mining methods extracted phrases mentioning indicators and outcome phrases, and these were compared using the Levenshtein edit distance ratio to measure similarity. Main Outcome Measure Number of care indicators that mapped to outcome measures in clinical trials. Results While only 13% of the 522 CareTrack indicators were thought to have Level I or II evidence behind them, 353 (68%) could be directly linked to randomized controlled trials. Within these 522, 50 of 70 (71%) Level I and II evidence-based indicators, and 268 of 370 (72%) Level V (consensus-based) indicators could be linked to evidence. Of the indicators known to have evidence behind them, only 5.7% (4 of 70) were mentioned in the trial reports but were missed by our method. Conclusions We automatically linked indicators to clinical trial registrations with high precision. Whilst the majority of quality indicators studied could be directly linked to research evidence, a small portion could not and these require closer scrutiny. It is feasible to support the process of indicator development using automated methods to identify research evidence. PMID:28651340

The Prevention of Hemorrhagic Stroke

PubMed Central

Raymond, J.; Mohr, JP; the TEAM-ARUBA collaborative groups

2008-01-01

Summary There is currently no evidence that preventive treatment of unruptured aneurysms or AVMs is beneficial and randomized trials have been proposed to address this clinical uncertainty. Participation in a trial may necessitate a shift of point of view compared to a certain habitual clinical mentality. A review of the ethical and rational principles governing the design and realization of a trial may help integrate clinical research into expert clinical practices. The treatment of unruptured aneurysms and AVMs remains controversial, and data from observational studies cannot provide a normative basis for clinical decisions. Prevention targets healthy individuals and hence has an obligation of results. There is no opposition between the search for objective facts using scientific methods and the ethics of medical practice since a good practice cannot forbid physicians the means to define what could be beneficial to patients. Perhaps the most difficult task is to recognize the uncertainty that is crucial to allow resorting to trial methodology. The reasoning that is used in research and analysis differs from the casuistic methods typical of clinical work, but clinical judgement remains the dominant factor that decides both who enters the trial and to whom the results of the trial will apply. Randomization is still perceived as a difficult and strange method to integrate into normal practice, but in the face of uncertainty it assures the best chances for the best outcome to each participant. Some tension exists between scientific methods and normal practice, but they need to coexist if we are to progress at the same time we care for patients. PMID:20557736

A comparison of three clustering methods for finding subgroups in MRI, SMS or clinical data: SPSS TwoStep Cluster analysis, Latent Gold and SNOB.

PubMed

Kent, Peter; Jensen, Rikke K; Kongsted, Alice

2014-10-02

There are various methodological approaches to identifying clinically important subgroups and one method is to identify clusters of characteristics that differentiate people in cross-sectional and/or longitudinal data using Cluster Analysis (CA) or Latent Class Analysis (LCA). There is a scarcity of head-to-head comparisons that can inform the choice of which clustering method might be suitable for particular clinical datasets and research questions. Therefore, the aim of this study was to perform a head-to-head comparison of three commonly available methods (SPSS TwoStep CA, Latent Gold LCA and SNOB LCA). The performance of these three methods was compared: (i) quantitatively using the number of subgroups detected, the classification probability of individuals into subgroups, the reproducibility of results, and (ii) qualitatively using subjective judgments about each program's ease of use and interpretability of the presentation of results.We analysed five real datasets of varying complexity in a secondary analysis of data from other research projects. Three datasets contained only MRI findings (n = 2,060 to 20,810 vertebral disc levels), one dataset contained only pain intensity data collected for 52 weeks by text (SMS) messaging (n = 1,121 people), and the last dataset contained a range of clinical variables measured in low back pain patients (n = 543 people). Four artificial datasets (n = 1,000 each) containing subgroups of varying complexity were also analysed testing the ability of these clustering methods to detect subgroups and correctly classify individuals when subgroup membership was known. The results from the real clinical datasets indicated that the number of subgroups detected varied, the certainty of classifying individuals into those subgroups varied, the findings had perfect reproducibility, some programs were easier to use and the interpretability of the presentation of their findings also varied. The results from the artificial datasets indicated that all three clustering methods showed a near-perfect ability to detect known subgroups and correctly classify individuals into those subgroups. Our subjective judgement was that Latent Gold offered the best balance of sensitivity to subgroups, ease of use and presentation of results with these datasets but we recognise that different clustering methods may suit other types of data and clinical research questions.

Periprosthetic Joint Infections: Clinical and Bench Research

PubMed Central

Legout, Laurence; Senneville, Eric

2013-01-01

Prosthetic joint infection is a devastating complication with high morbidity and substantial cost. The incidence is low but probably underestimated. Despite a significant basic and clinical research in this field, many questions concerning the definition of prosthetic infection as well the diagnosis and the management of these infections remained unanswered. We review the current literature about the new diagnostic methods, the management and the prevention of prosthetic joint infections. PMID:24288493

How to report a research study.

PubMed

Cronin, Paul; Rawson, James V; Heilbrun, Marta E; Lee, Janie M; Kelly, Aine M; Sanelli, Pina C; Bresnahan, Brian W; Paladin, Angelisa M

2014-09-01

Incomplete reporting hampers the evaluation of results and bias in clinical research studies. Guidelines for reporting study design and methods have been developed to encourage authors and journals to include the required elements. Recent efforts have been made to standardize the reporting of clinical health research including clinical guidelines. In this article, the reporting of diagnostic test accuracy studies, screening studies, therapeutic studies, systematic reviews and meta-analyses, cost-effectiveness assessments (CEA), recommendations and/or guidelines, and medical education studies is discussed. The available guidelines, many of which can be found at the Enhancing the QUAlity and Transparency Of health Research network, on how to report these different types of health research are also discussed. We also hope that this article can be used in academic programs to educate the faculty and trainees of the available resources to improve our health research. Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Nonsurgical Treatment of Acetabular Labral Tears.

PubMed

Theige, Melissa; David, Shannon

2018-05-04

Clinical Scenario: Surgical treatment of acetabular labral tears has been explored in multiple studies, while there is a lack of research on the effectiveness of conservative methods. Focused Clinical Question: To what extent can nonsurgical treatment produce symptomatic or functional improvements in athletes with an acetabular labral tear? Summary of Search, Best Evidence Appraised, and Key Findings: The literature was searched for studies of patients with confirmed acetabular labral tears who participated in any level of sport. Four studies were located, all of which were included. Clinical Bottom Line: The research discussed in this review agreed that conservative management of acetabular labral tears produced measurable improvements in pain and function among the athletes studied, including their ability to participate in sport activities. Based on these findings, it appears that conservative management is effective at rehabilitating athletes with acetabular labral tears. However, this method should not be applied to every athlete based on the low strength of current research. Treatment plans should be decided upon on a case-by-case basis. Strength of Recommendation: The studies located were of low quality. The highest Oxford Center for Evidence-Based Medicine Level of Evidence achieved was 4. Higher level studies must be conducted before the conclusions of this research can be applied clinically with assertion. Strength of recommendation is level 3.

Clinical Risk Assessment in Intensive Care Unit

PubMed Central

Asefzadeh, Saeed; Yarmohammadian, Mohammad H.; Nikpey, Ahmad; Atighechian, Golrokh

2013-01-01

Background: Clinical risk management focuses on improving the quality and safety of health care services by identifying the circumstances and opportunities that put patients at risk of harm and acting to prevent or control those risks. The goal of this study is to identify and assess the failure modes in the ICU of Qazvin's Social Security Hospital (Razi Hospital) through Failure Mode and Effect Analysis (FMEA). Methods: This was a qualitative-quantitative research by Focus Discussion Group (FDG) performed in Qazvin Province, Iran during 2011. The study population included all individuals and owners who are familiar with the process in ICU. Sampling method was purposeful and the FDG group members were selected by the researcher. The research instrument was standard worksheet that has been used by several researchers. Data was analyzed by FMEA technique. Results: Forty eight clinical errors and failure modes identified, results showed that the highest risk probability number (RPN) was in respiratory care “Ventilator's alarm malfunction (no alarm)” with the score 288, and the lowest was in gastrointestinal “not washing the NG-Tube” with the score 8. Conclusions: Many of the identified errors can be prevented by group members. Clinical risk assessment and management is the key to delivery of effective health care. PMID:23930171

The (in)stability of 21st century orthopedic patient contact information and its implications on clinical research: A cross-sectional study.

PubMed

London, Daniel A; Stepan, Jeffrey G; Goldfarb, Charles A; Boyer, Martin I; Calfee, Ryan P

2017-04-01

In clinical research, minimizing patients lost to follow-up is essential for data validity. Researchers can employ better methodology to prevent patient loss. We examined how orthopedic surgery patients' contact information changes over time to optimize data collection for long-term outcomes research. Patients presenting to orthopedic outpatient clinics completed questionnaires regarding methods of contact: home phone, cell phone, mailing address, and e-mail address. They reported currently available methods of contact, if they changed in the past 5 and 10 years, and when they changed. Differences in the rates of change among methods were assessed via Fisher's exact tests. Whether participants changed any of their contact information in the past 5 and 10 years was determined via multivariate modeling, controlling for demographic variables. Among 152 patients, 51% changed at least one form of contact information within 5 years, and 66% changed at least one form within 10 years. The rate of change for each contact method was similar over 5 (15%-28%) and 10 years (26%-41%). One patient changed all four methods of contact within the past 5 years and seven within the past 10 years. Females and younger patients were more likely to change some type of contact information. The type of contact information least likely to change over 5-10 years is influenced by demographic factors such as sex and age, with females and younger participants more likely to change some aspect of their contact information. Collecting all contact methods appears necessary to minimize patients lost to follow-up, especially as technological norms evolve.

Optimizing the use of video-tapes of clinical sessions: the data-mining approach for scale construction and theory building for bereaved persons in Hong Kong.

PubMed

Chow, Amy Yin Man

2010-01-01

Video-taping clinical sessions is a common practice among social workers so that the tapes may be used for clinical supervision and reviewed with the individuals or families involved. They are usually underused for research purposes. This article reports on an innovative research method using such tapes as a basis for clinical data mining to explore the bereavement experience of Chinese people in Hong Kong. Using this data, a rich item pool, containing both negative and positive reactions, was generated to allow the development of a culturally relevant measurement tool of grief reactions. The data also facilitated theory building in the area of grief and bereavement. This study extended the use of video-tapes in clinical sessions for research purposes and helped to collect reliable and timely data in a non-intrusive way. It has also advanced the use of quantitative data in the clinical data-mining approach. The study encouraged collaboration between clinicians and researchers to develop knowledge and skills about their special target group of clients.

From the Editor: An Introduction to the JSLHR Supplement on Implementation Science.

PubMed

Paul, Rhea

2015-12-01

The JSLHR Supplement on Implementation Science is aimed at providing discussion and examples of research in implementation science, the study of methods designed to promote the incorporation of research findings into clinical practice. Practitioners in the language science area were invited to submit articles that address their experience with various aspects of implementation science. Six articles from several research groups comprise this supplement. Implementation science is an aspect of intervention research that merits consideration by communication disorders scientists. More extensive practice of implementation science will improve uptake of evidence-based practice in the clinical community.

Assessment of critical thinking: a Delphi study.

PubMed

Paul, Sheila A

2014-11-01

Nurse educators are responsible for preparing nurses who critically analyze patient information and provide meaningful interventions in today's complex health care system. By using the Delphi research method, this study, utilized the specialized and experiential knowledge of Certified Nurse Educators. This original Delphi research study asked Certified Nurse Educators how to assess the critical-thinking ability of nursing students in the clinical setting. The results showed that nurse educators need time, during the clinical experience, to accurately assess each individual nursing student. This study demonstrated the need for extended student clinical time, and a variety of clinical learning assessment tools. Copyright © 2014 Elsevier Ltd. All rights reserved.

Characteristics Desired in Clinical Data Warehouse for Biomedical Research

PubMed Central

Shin, Soo-Yong; Kim, Woo Sung

2014-01-01

Objectives Due to the unique characteristics of clinical data, clinical data warehouses (CDWs) have not been successful so far. Specifically, the use of CDWs for biomedical research has been relatively unsuccessful thus far. The characteristics necessary for the successful implementation and operation of a CDW for biomedical research have not clearly defined yet. Methods Three examples of CDWs were reviewed: a multipurpose CDW in a hospital, a CDW for independent multi-institutional research, and a CDW for research use in an institution. After reviewing the three CDW examples, we propose some key characteristics needed in a CDW for biomedical research. Results A CDW for research should include an honest broker system and an Institutional Review Board approval interface to comply with governmental regulations. It should also include a simple query interface, an anonymized data review tool, and a data extraction tool. Also, it should be a biomedical research platform for data repository use as well as data analysis. Conclusions The proposed characteristics desired in a CDW may have limited transfer value to organizations in other countries. However, these analysis results are still valid in Korea, and we have developed clinical research data warehouse based on these desiderata. PMID:24872909

Measurement of Clinical Performance of Nurses: A Literature Review.

ERIC Educational Resources Information Center

Robb, Yvonne; Fleming, Valerie; Dietert, Christine

2002-01-01

A research review (n=12) yielded a number of tools for assessing nurses' clinical competence but none that is universally accepted. The review did identify methods that could be used to develop a useful instrument. (Contains 23 references.) (SK)

Quasi-Clinical Inquiry in Research on Classroom Teaching and Learning.

ERIC Educational Resources Information Center

Fisher, Charles W.; Berliner, David C.

In this paper a broad perspective on the phenomenon of teaching and learning is presented. The complex dynamics of interaction between teacher, student, and educational researcher are explored. Conventional research in education is characterized as relying heavily on methods adopted from other types of research in such fields as agriculture and…

Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT.

PubMed

Shouval, R; Bondi, O; Mishan, H; Shimoni, A; Unger, R; Nagler, A

2014-03-01

Data collected from hematopoietic SCT (HSCT) centers are becoming more abundant and complex owing to the formation of organized registries and incorporation of biological data. Typically, conventional statistical methods are used for the development of outcome prediction models and risk scores. However, these analyses carry inherent properties limiting their ability to cope with large data sets with multiple variables and samples. Machine learning (ML), a field stemming from artificial intelligence, is part of a wider approach for data analysis termed data mining (DM). It enables prediction in complex data scenarios, familiar to practitioners and researchers. Technological and commercial applications are all around us, gradually entering clinical research. In the following review, we would like to expose hematologists and stem cell transplanters to the concepts, clinical applications, strengths and limitations of such methods and discuss current research in HSCT. The aim of this review is to encourage utilization of the ML and DM techniques in the field of HSCT, including prediction of transplantation outcome and donor selection.

Emerging MRI Methods in Translational Cardiovascular Research

PubMed Central

Vandsburger, Moriel H; Epstein, Frederick H

2011-01-01

Cardiac magnetic resonance imaging (CMR) has become a reference standard modality for imaging of left ventricular (LV) structure and function, and, using late gadolinium enhancement, for imaging myocardial infarction. Emerging CMR techniques enable a more comprehensive examination of the heart, making CMR an excellent tool for use in translational cardiovascular research. Specifically, emerging CMR methods have been developed to measure the extent of myocardial edema, changes in ventricular mechanics, changes in tissue composition as a result of fibrosis, and changes in myocardial perfusion as a function of both disease and infarct healing. New CMR techniques also enable the tracking of labeled cells, molecular imaging of biomarkers of disease, and changes in calcium flux in cardiomyocytes. In addition, MRI can quantify blood flow velocity and wall shear stress in large blood vessels. Almost all of these techniques can be applied in both pre-clinical and clinical settings, enabling both the techniques themselves and the knowledge gained using such techniques in pre-clinical research to be translated from the lab bench to the patient bedside. PMID:21452060

Methodology Series Module 5: Sampling Strategies.

PubMed

Setia, Maninder Singh

2016-01-01

Once the research question and the research design have been finalised, it is important to select the appropriate sample for the study. The method by which the researcher selects the sample is the ' Sampling Method'. There are essentially two types of sampling methods: 1) probability sampling - based on chance events (such as random numbers, flipping a coin etc.); and 2) non-probability sampling - based on researcher's choice, population that accessible & available. Some of the non-probability sampling methods are: purposive sampling, convenience sampling, or quota sampling. Random sampling method (such as simple random sample or stratified random sample) is a form of probability sampling. It is important to understand the different sampling methods used in clinical studies and mention this method clearly in the manuscript. The researcher should not misrepresent the sampling method in the manuscript (such as using the term ' random sample' when the researcher has used convenience sample). The sampling method will depend on the research question. For instance, the researcher may want to understand an issue in greater detail for one particular population rather than worry about the ' generalizability' of these results. In such a scenario, the researcher may want to use ' purposive sampling' for the study.

Understanding and Improving Recruitment to Randomised Controlled Trials: Qualitative Research Approaches.

PubMed

Elliott, Daisy; Husbands, Samantha; Hamdy, Freddie C; Holmberg, Lars; Donovan, Jenny L

2017-11-01

The importance of evidence from randomised trials is now widely recognised, although recruitment is often difficult. Qualitative research has shown promise in identifying the key barriers to recruitment, and interventions have been developed to reduce organisational difficulties and support clinicians undertaking recruitment. This article provides an introduction to qualitative research techniques and explains how this approach can be used to understand-and subsequently improve-recruitment and informed consent within a range of clinical trials. A literature search was performed using Medline, Embase, and CINAHL. All studies with qualitative research methods that focused on the recruitment activity of clinicians were included in the review. The majority of studies reported that organisational difficulties and lack of time for clinical staff were key barriers to recruitment. However, a synthesis of qualitative studies highlighted the intellectual and emotional challenges that arise when combining research with clinical roles, particularly in relation to equipoise and patient eligibility. To support recruiters to become more comfortable with the design and principles of randomised controlled trials, interventions have been developed, including the QuinteT Recruitment Intervention, which comprises in-depth investigation of recruitment obstacles in real time, followed by implementation of tailored strategies to address these challenges as the trial proceeds. Qualitative research can provide important insights into the complexities of recruitment to trials and inform the development of interventions, and provide support and training initiatives as required. Investigators should consider implementing such methods in trials expected to be challenging or recruiting below target. Qualitative research is a term used to describe a range of methods that can be implemented to understand participants' perspectives and behaviours. Data are gathered from interviews, focus groups, or observations. In this review, we demonstrate how this approach can be used to understand-and improve-recruitment to clinical trials. Taken together, our review suggests that healthcare professionals can find recruiting to trials challenging and require support with this process. Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Iliotibial band friction syndrome

PubMed Central

2010-01-01

Published articles on iliotibial band friction syndrome have been reviewed. These articles cover the epidemiology, etiology, anatomy, pathology, prevention, and treatment of the condition. This article describes (1) the various etiological models that have been proposed to explain iliotibial band friction syndrome; (2) some of the imaging methods, research studies, and clinical experiences that support or call into question these various models; (3) commonly proposed treatment methods for iliotibial band friction syndrome; and (4) the rationale behind these methods and the clinical outcome studies that support their efficacy. PMID:21063495

Toxicogenomics and clinical toxicology: an example of the connection between basic and applied sciences.

PubMed

Ferrer-Dufol, Ana; Menao-Guillen, Sebastian

2009-04-10

The relationship between basic research and its potential clinical applications is often a difficult subject. Clinical toxicology has always been very dependent on experimental research whose usefulness has been impaired by the existence of huge differences in the toxicity expression of different substances, inter- and intra-species which make it difficult to predict clinical effects in humans. The new methods in molecular biology developed in the last decades are furnishing very useful tools to study some of the more relevant molecules implied in toxicokinetic and toxicodynamic processes. We aim to show some meaningful examples of how recent research developments with genes and proteins have clear applications to understand significant clinical matters, such as inter-individual variations in susceptibility to chemicals, and other phenomena related to the way some substances act to induce variations in the expression and functionality of these targets.

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks

PubMed Central

Jung, Kenneth; LePendu, Paea; Iyer, Srinivasan; Bauer-Mehren, Anna; Percha, Bethany; Shah, Nigam H

2015-01-01

Objective The trade-off between the speed and simplicity of dictionary-based term recognition and the richer linguistic information provided by more advanced natural language processing (NLP) is an area of active discussion in clinical informatics. In this paper, we quantify this trade-off among text processing systems that make different trade-offs between speed and linguistic understanding. We tested both types of systems in three clinical research tasks: phase IV safety profiling of a drug, learning adverse drug–drug interactions, and learning used-to-treat relationships between drugs and indications. Materials We first benchmarked the accuracy of the NCBO Annotator and REVEAL in a manually annotated, publically available dataset from the 2008 i2b2 Obesity Challenge. We then applied the NCBO Annotator and REVEAL to 9 million clinical notes from the Stanford Translational Research Integrated Database Environment (STRIDE) and used the resulting data for three research tasks. Results There is no significant difference between using the NCBO Annotator and REVEAL in the results of the three research tasks when using large datasets. In one subtask, REVEAL achieved higher sensitivity with smaller datasets. Conclusions For a variety of tasks, employing simple term recognition methods instead of advanced NLP methods results in little or no impact on accuracy when using large datasets. Simpler dictionary-based methods have the advantage of scaling well to very large datasets. Promoting the use of simple, dictionary-based methods for population level analyses can advance adoption of NLP in practice. PMID:25336595

A Course Model for Teaching Research Evaluation in Colleges of Pharmacy.

ERIC Educational Resources Information Center

Draugalis, JoLaine R.; Slack, Marion K.

1992-01-01

A University of Arizona undergraduate pharmacy course designed to develop student skills in evaluation of research has five parts: introduction to the scientific method; statistical techniques/data analysis review; research design; fundamentals of clinical studies; and practical applications. Prerequisites include biostatistics and drug…

Strategies to Support Recruitment of Patients with Life-limiting illness for Research: The Palliative Care Research Cooperative Group

PubMed Central

Hanson, Laura C.; Bull, Janet; Wessell, Kathryn; Massie, Lisa; Bennett, Rachael E.; Kutner, Jean S.; Aziz, Noreen M.; Abernethy, Amy

2014-01-01

Context The Palliative Care Research Cooperative group (PCRC) is the first clinical trials cooperative for palliative care in the United States. Objectives To describe barriers and strategies for recruitment during the inaugural PCRC clinical trial. Methods The parent study was a multi-site randomized controlled trial enrolling adults with life expectancy anticipated to be 1–6 months, randomized to discontinue statins (intervention) vs. to continue on statins (control). To study recruitment best practices, we conducted semi-structured interviews with 18 site Principal Investigators (PI) and Clinical Research Coordinators (CRC), and reviewed recruitment rates. Interviews covered 3 topics – 1) successful strategies for recruitment, 2) barriers to recruitment, and 3) optimal roles of the PI and CRC. Results All eligible site PIs and CRCs completed interviews and provided data on statin protocol recruitment. The parent study completed recruitment of n=381 patients. Site enrollment ranged from 1–109 participants, with an average of 25 enrolled per site. Five major barriers included difficulty locating eligible patients, severity of illness, family and provider protectiveness, seeking patients in multiple settings, and lack of resources for recruitment activities. Five effective recruitment strategies included systematic screening of patient lists, thoughtful messaging to make research relevant, flexible protocols to accommodate patients’ needs, support from clinical champions, and the additional resources of a trials cooperative group. Conclusion The recruitment experience from the multi-site PCRC yields new insights into methods for effective recruitment to palliative care clinical trials. These results will inform training materials for the PCRC and may assist other investigators in the field. PMID:24863152

Case Reports, Case Series - From Clinical Practice to Evidence-Based Medicine in Graduate Medical Education.

PubMed

Sayre, Jerry W; Toklu, Hale Z; Ye, Fan; Mazza, Joseph; Yale, Steven

2017-08-07

Case reports and case series or case study research are descriptive studies that are prepared for illustrating novel, unusual, or atypical features identified in patients in medical practice, and they potentially generate new research questions. They are empirical inquiries or investigations of a patient or a group of patients in a natural, real-world clinical setting. Case study research is a method that focuses on the contextual analysis of a number of events or conditions and their relationships. There is disagreement among physicians on the value of case studies in the medical literature, particularly for educators focused on teaching evidence-based medicine (EBM) for student learners in graduate medical education. Despite their limitations, case study research is a beneficial tool and learning experience in graduate medical education and among novice researchers. The preparation and presentation of case studies can help students and graduate medical education programs evaluate and apply the six American College of Graduate Medical Education (ACGME) competencies in the areas of medical knowledge, patient care, practice-based learning, professionalism, systems-based practice, and communication. A goal in graduate medical education should be to assist residents to expand their critical thinking, problem-solving, and decision-making skills. These attributes are required in the teaching and practice of EBM. In this aspect, case studies provide a platform for developing clinical skills and problem-based learning methods. Hence, graduate medical education programs should encourage, assist, and support residents in the publication of clinical case studies; and clinical teachers should encourage graduate students to publish case reports during their graduate medical education.

Invited review: study design considerations for clinical research in veterinary radiology and radiation oncology.

PubMed

Scrivani, Peter V; Erb, Hollis N

2013-01-01

High quality clinical research is essential for advancing knowledge in the areas of veterinary radiology and radiation oncology. Types of clinical research studies may include experimental studies, method-comparison studies, and patient-based studies. Experimental studies explore issues relative to pathophysiology, patient safety, and treatment efficacy. Method-comparison studies evaluate agreement between techniques or between observers. Patient-based studies investigate naturally acquired disease and focus on questions asked in clinical practice that relate to individuals or populations (e.g., risk, accuracy, or prognosis). Careful preplanning and study design are essential in order to achieve valid results. A key point to planning studies is ensuring that the design is tailored to the study objectives. Good design includes a comprehensive literature review, asking suitable questions, selecting the proper sample population, collecting the appropriate data, performing the correct statistical analyses, and drawing conclusions supported by the available evidence. Most study designs are classified by whether they are experimental or observational, longitudinal or cross-sectional, and prospective or retrospective. Additional features (e.g., controlled, randomized, or blinded) may be described that address bias. Two related challenging aspects of study design are defining an important research question and selecting an appropriate sample population. The sample population should represent the target population as much as possible. Furthermore, when comparing groups, it is important that the groups are as alike to each other as possible except for the variables of interest. Medical images are well suited for clinical research because imaging signs are categorical or numerical variables that might be predictors or outcomes of diseases or treatments. © 2013 Veterinary Radiology & Ultrasound.

Estimates of Dietary Sodium Consumption in Patients With Chronic Heart Failure.

PubMed

Colin-Ramirez, Eloisa; Arcand, JoAnne; Ezekowitz, Justin A

2015-12-01

Estimating dietary sodium intake is a key component of dietary assessment in the clinical setting of HF to effectively implement appropriate dietary interventions for sodium reduction and monitor adherence to the dietary treatment. In a research setting, assessment of sodium intake is crucial to an essential methodology to evaluate outcomes after a dietary or behavioral intervention. Current available sodium intake assessment methods include 24-hour urine collection, spot urine collections, multiple day food records, food recalls, and food frequency questionnaires. However, these methods have inherent limitations that make assessment of sodium intake challenging, and the utility of traditional methods may be questionable for estimating sodium intake in patients with HF. Thus, there are remaining questions about how to best assess dietary sodium intake in this patient population, and there is a need to identify a reliable method to assess and monitor sodium intake in the research and clinical setting of HF. This paper provides a comprehensive review of the current methods for sodium intake assessment, addresses the challenges for its accurate evaluation, and highlights the relevance of applying the highest-quality measurement methods in the research setting to minimize the risk of biased data. Copyright © 2015 Elsevier Inc. All rights reserved.

Managerial leadership for research use in nursing and allied health care professions: a narrative synthesis protocol

PubMed Central

2014-01-01

Background Nurses and allied health care professionals (physiotherapists, occupational therapists, speech and language pathologists, dietitians) form more than half of the clinical health care workforce and play a central role in health service delivery. There is a potential to improve the quality of health care if these professionals routinely use research evidence to guide their clinical practice. However, the use of research evidence remains unpredictable and inconsistent. Leadership is consistently described in implementation research as critical to enhancing research use by health care professionals. However, this important literature has not yet been synthesized and there is a lack of clarity on what constitutes effective leadership for research use, or what kinds of intervention effectively develop leadership for the purpose of enabling and enhancing research use in clinical practice. We propose to synthesize the evidence on leadership behaviours amongst front line and senior managers that are associated with research evidence by nurses and allied health care professionals, and then determine the effectiveness of interventions that promote these behaviours. Methods/Design Using an integrated knowledge translation approach that supports a partnership between researchers and knowledge users throughout the research process, we will follow principles of knowledge synthesis using a systematic method to synthesize different types of evidence involving: searching the literature, study selection, data extraction and quality assessment, and analysis. A narrative synthesis will be conducted to explore relationships within and across studies and meta-analysis will be performed if sufficient homogeneity exists across studies employing experimental randomized control trial designs. Discussion With the engagement of knowledge users in leadership and practice, we will synthesize the research from a broad range of disciplines to understand the key elements of leadership that supports and enables research use by health care practitioners, and how to develop leadership for the purpose of enhancing research use in clinical practice. Trial registration PROSPERO CRD42014007660. PMID:24903267

Highlights From the Third Annual Mayo Clinic Conference on Systems Engineering and Operations Research in Health Care

PubMed Central

Kamath, Janine R. A.; Osborn, John B.; Roger, Véronique L.; Rohleder, Thomas R.

2011-01-01

In August 2010, the Third Annual Mayo Clinic Conference on Systems Engineering and Operations Research in Health Care was held. The continuing mission of the conference is to gather a multidisciplinary group of systems engineers, clinicians, administrators, and academic professors to discuss the translation of systems engineering methods to more effective health care delivery. Education, research, and practice were enhanced via a mix of formal presentations, tutorials, and informal gatherings of participants with diverse backgrounds. Although the conference promotes a diversity of perspectives and methods, participants are united in their desire to find ways in which systems engineering can transform health care, especially in the context of health care reform and other significant changes affecting the delivery of health care. PMID:21803959

Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users

PubMed Central

Baumgartner, Peter; Peiper, Nicholas

2017-01-01

Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical and population-based samples. Studies leveraging big data, social media, and social network analysis have emerged as a promising mechanism to generate timely insights that can inform treatment and prevention research. This study extends a novel method called stochastic block modeling to derive communities of cannabis consumers as part of a complex social network on Twitter. A set of examples illustrate how this method can ascertain candidate samples of medical, recreational, and illicit cannabis users. Implications for research planning, intervention design, and public health surveillance are discussed. PMID:28615950

Reshaping clinical science: Introduction to the Special Issue on Psychophysiology and the NIMH Research Domain Criteria (RDoC) initiative.

PubMed

Patrick, Christopher J; Hajcak, Greg

2016-03-01

The National Institute of Mental Health's (NIMH) Research Domain Criteria (RDoC) initiative seeks to establish new dimensional conceptions of mental health problems, through the investigation of clinically relevant "process" constructs that have neurobiological as well as psychological referents. This special issue provides a detailed overview of the RDoC framework by NIMH officials Michael Kozak and Bruce Cuthbert, and spotlights RDoC-oriented investigative efforts by leading psychophysiological research groups as examples of how clinical science might be reshaped through application of RDoC principles. Accompanying commentaries highlight key aspects of the work by each group, and discuss reported methods/findings in relation to promises and challenges of the RDoC initiative more broadly. © 2016 Society for Psychophysiological Research.

Development of an Agile Knowledge Engineering Framework in Support of Multi-Disciplinary Translational Research

PubMed Central

Borlawsky, Tara B.; Dhaval, Rakesh; Hastings, Shannon L.; Payne, Philip R. O.

2009-01-01

In October 2006, the National Institutes of Health launched a new national consortium, funded through Clinical and Translational Science Awards (CTSA), with the primary objective of improving the conduct and efficiency of the inherently multi-disciplinary field of translational research. To help meet this goal, the Ohio State University Center for Clinical and Translational Science has launched a knowledge management initiative that is focused on facilitating widespread semantic interoperability among administrative, basic science, clinical and research computing systems, both internally and among the translational research community at-large, through the integration of domain-specific standard terminologies and ontologies with local annotations. This manuscript describes an agile framework that builds upon prevailing knowledge engineering and semantic interoperability methods, and will be implemented as part this initiative. PMID:21347164

Development of an agile knowledge engineering framework in support of multi-disciplinary translational research.

PubMed

Borlawsky, Tara B; Dhaval, Rakesh; Hastings, Shannon L; Payne, Philip R O

2009-03-01

In October 2006, the National Institutes of Health launched a new national consortium, funded through Clinical and Translational Science Awards (CTSA), with the primary objective of improving the conduct and efficiency of the inherently multi-disciplinary field of translational research. To help meet this goal, the Ohio State University Center for Clinical and Translational Science has launched a knowledge management initiative that is focused on facilitating widespread semantic interoperability among administrative, basic science, clinical and research computing systems, both internally and among the translational research community at-large, through the integration of domain-specific standard terminologies and ontologies with local annotations. This manuscript describes an agile framework that builds upon prevailing knowledge engineering and semantic interoperability methods, and will be implemented as part this initiative.

Consensus of recommendations guiding comparative effectiveness research methods.

PubMed

Morton, Jacob B; McConeghy, Robert; Heinrich, Kirstin; Gatto, Nicolle M; Caffrey, Aisling R

2016-12-01

Because of an increasing demand for quality comparative effectiveness research (CER), methods guidance documents have been published, such as those from the Agency for Healthcare Research and Quality (AHRQ) and the Patient-Centered Outcomes Research Institute (PCORI). Our objective was to identify CER methods guidance documents and compare them to produce a summary of important recommendations which could serve as a consensus of CER method recommendations. We conducted a systematic literature review to identify CER methods guidance documents published through 2014. Identified documents were analyzed for methods guidance recommendations. Individual recommendations were categorized to determine the degree of overlap. We identified nine methods guidance documents, which contained a total of 312 recommendations, 97% of which were present in two or more documents. All nine documents recommended transparency and adaptation for relevant stakeholders in the interpretation and dissemination of results. Other frequently shared CER methods recommendations included: study design and operational definitions should be developed a priori and allow for replication (n = 8 documents); focus on areas with gaps in current clinical knowledge that are relevant to decision-makers (n = 7); validity of measures, instruments, and data should be assessed and discussed (n = 7); outcomes, including benefits and harms, should be clinically meaningful, and objectively measured (n = 7). Assessment for and strategies to minimize bias (n = 6 documents), confounding (n = 6), and heterogeneity (n = 4) were also commonly shared recommendations between documents. We offer a field-consensus guide based on nine CER methods guidance documents that will aid researchers in designing CER studies and applying CER methods. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Platelet Immunology in China: Research and Clinical Applications.

PubMed

Wu, Guoguang; Zhou, Yan; Li, Lilan; Zhong, Zhoulin; Li, Hengchong; Li, Haiyan; Yu, Mei; Shen, Weidong; Ni, Heyu

2017-04-01

Immunization against human platelet alloantigens (HPAs) is associated with a number of clinical complications. The detection and identification of clinically relevant platelet antibodies are important for the diagnosis and management of patients affected with immune-mediated thrombocytopenias. Human platelet alloantigen frequencies and the characteristics of antiplatelet antibodies vary widely between ethnic groups. Since 2008, the importance of platelet immunology in the field of transfusion medicine has gained greater recognition by clinical laboratories in China. Laboratories in China have established and improved methods for platelet antibody detection and HPA genotyping techniques, which are used for the diagnosis of alloimmune platelet disorders in clinic and research environments. Research has revealed the frequencies of HPA alleles in different Chinese ethnic groups and compared the differences in HPA gene frequencies between the Chinese Han and other ethnic groups of the world. Production of anti-CD36 isoantibodies is an important risk factor for immune-mediated thrombocytopenia in the Chinese population. Advances in research and clinical application of platelet immunology have significantly improved the clinical diagnosis, treatment including transfusion support, and prevention of alloimmune platelet disorders in the Chinese population. Copyright © 2017. Published by Elsevier Inc.

Effectiveness-implementation Hybrid Designs

PubMed Central

Curran, Geoffrey M.; Bauer, Mark; Mittman, Brian; Pyne, Jeffrey M.; Stetler, Cheryl

2013-01-01

Objectives This study proposes methods for blending design components of clinical effectiveness and implementation research. Such blending can provide benefits over pursuing these lines of research independently; for example, more rapid translational gains, more effective implementation strategies, and more useful information for decision makers. This study proposes a “hybrid effectiveness-implementation” typology, describes a rationale for their use, outlines the design decisions that must be faced, and provides several real-world examples. Results An effectiveness-implementation hybrid design is one that takes a dual focus a priori in assessing clinical effectiveness and implementation. We propose 3 hybrid types: (1) testing effects of a clinical intervention on relevant outcomes while observing and gathering information on implementation; (2) dual testing of clinical and implementation interventions/strategies; and (3) testing of an implementation strategy while observing and gathering information on the clinical intervention’s impact on relevant outcomes. Conclusions The hybrid typology proposed herein must be considered a construct still in evolution. Although traditional clinical effectiveness and implementation trials are likely to remain the most common approach to moving a clinical intervention through from efficacy research to public health impact, judicious use of the proposed hybrid designs could speed the translation of research findings into routine practice. PMID:22310560

BoB, a best-of-breed automated text de-identification system for VHA clinical documents.

PubMed

Ferrández, Oscar; South, Brett R; Shen, Shuying; Friedlin, F Jeffrey; Samore, Matthew H; Meystre, Stéphane M

2013-01-01

De-identification allows faster and more collaborative clinical research while protecting patient confidentiality. Clinical narrative de-identification is a tedious process that can be alleviated by automated natural language processing methods. The goal of this research is the development of an automated text de-identification system for Veterans Health Administration (VHA) clinical documents. We devised a novel stepwise hybrid approach designed to improve the current strategies used for text de-identification. The proposed system is based on a previous study on the best de-identification methods for VHA documents. This best-of-breed automated clinical text de-identification system (aka BoB) tackles the problem as two separate tasks: (1) maximize patient confidentiality by redacting as much protected health information (PHI) as possible; and (2) leave de-identified documents in a usable state preserving as much clinical information as possible. We evaluated BoB with a manually annotated corpus of a variety of VHA clinical notes, as well as with the 2006 i2b2 de-identification challenge corpus. We present evaluations at the instance- and token-level, with detailed results for BoB's main components. Moreover, an existing text de-identification system was also included in our evaluation. BoB's design efficiently takes advantage of the methods implemented in its pipeline, resulting in high sensitivity values (especially for sensitive PHI categories) and a limited number of false positives. Our system successfully addressed VHA clinical document de-identification, and its hybrid stepwise design demonstrates robustness and efficiency, prioritizing patient confidentiality while leaving most clinical information intact.

Variable selection for distribution-free models for longitudinal zero-inflated count responses.

PubMed

Chen, Tian; Wu, Pan; Tang, Wan; Zhang, Hui; Feng, Changyong; Kowalski, Jeanne; Tu, Xin M

2016-07-20

Zero-inflated count outcomes arise quite often in research and practice. Parametric models such as the zero-inflated Poisson and zero-inflated negative binomial are widely used to model such responses. Like most parametric models, they are quite sensitive to departures from assumed distributions. Recently, new approaches have been proposed to provide distribution-free, or semi-parametric, alternatives. These methods extend the generalized estimating equations to provide robust inference for population mixtures defined by zero-inflated count outcomes. In this paper, we propose methods to extend smoothly clipped absolute deviation (SCAD)-based variable selection methods to these new models. Variable selection has been gaining popularity in modern clinical research studies, as determining differential treatment effects of interventions for different subgroups has become the norm, rather the exception, in the era of patent-centered outcome research. Such moderation analysis in general creates many explanatory variables in regression analysis, and the advantages of SCAD-based methods over their traditional counterparts render them a great choice for addressing this important and timely issues in clinical research. We illustrate the proposed approach with both simulated and real study data. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

NASPGHAN Capsule Endoscopy Clinical Report.

PubMed

Friedlander, Joel A; Liu, Quin Y; Sahn, Benjamin; Kooros, Koorosh; Walsh, Catharine M; Kramer, Robert E; Lightdale, Jenifer R; Khlevner, Julie; McOmber, Mark; Kurowski, Jacob; Giefer, Matthew J; Pall, Harpreet; Troendle, David M; Utterson, Elizabeth C; Brill, Herbert; Zacur, George M; Lirio, Richard A; Lerner, Diana G; Reynolds, Carrie; Gibbons, Troy E; Wilsey, Michael; Liacouras, Chris A; Fishman, Douglas S

2017-03-01

Wireless capsule endoscopy (CE) was introduced in 2000 as a less invasive method to visualize the distal small bowel in adults. Because this technology has advanced it has been adapted for use in pediatric gastroenterology. Several studies have described its clinical use, utility, and various training methods but pediatric literature regarding CE is limited. This clinical report developed by the Endoscopic and Procedures Committee of the North American Society of Pediatric Gastroenterology, Hepatology and Nutrition outlines the current literature, and describes the recommended current role, use, training, and future areas of research for CE in pediatrics.

What can Natural Language Processing do for Clinical Decision Support?

PubMed Central

Demner-Fushman, Dina; Chapman, Wendy W.; McDonald, Clement J.

2009-01-01

Computerized Clinical Decision Support (CDS) aims to aid decision making of health care providers and the public by providing easily accessible health-related information at the point and time it is needed. Natural Language Processing (NLP) is instrumental in using free-text information to drive CDS, representing clinical knowledge and CDS interventions in standardized formats, and leveraging clinical narrative. The early innovative NLP research of clinical narrative was followed by a period of stable research conducted at the major clinical centers and a shift of mainstream interest to biomedical NLP. This review primarily focuses on the recently renewed interest in development of fundamental NLP methods and advances in the NLP systems for CDS. The current solutions to challenges posed by distinct sublanguages, intended user groups, and support goals are discussed. PMID:19683066

[Importance of clinical trial design and standardized implementation in ophthalmology].

PubMed

Xu, Xun

2013-06-01

Clinical trial is an important medical research method, as well as the bridge of translational medicine. The results of scientific evidences are useful to make clinical practice guidelines. At present,much experience of carrying out ophthalmology clinical trials has been obtained and achieved, but there are still some scientific, practical and ethical problems to be solved,because of their impact on the authenticity and reliability of the results. Therefore, attaching great importance to design of the clinical research and implement of the standardization would be the goal and the development direction. Clinical trial design rely on objective, follow international design principles on the ethics,randomization, blinding and placebo setting. During the trial implementation, personnel training,project management and monitoring would help to reduce protocol deviation and ensure data authenticity.

Innovative research methods for studying treatments for rare diseases: methodological review.

PubMed

Gagne, Joshua J; Thompson, Lauren; O'Keefe, Kelly; Kesselheim, Aaron S

2014-11-24

To examine methods for generating evidence on health outcomes in patients with rare diseases. Methodological review of existing literature. PubMed, Embase, and Academic Search Premier searched for articles describing innovative approaches to randomized trial design and analysis methods and methods for conducting observational research in patients with rare diseases. We assessed information related to the proposed methods, the specific rare disease being studied, and outcomes from the application of the methods. We summarize methods with respect to their advantages in studying health outcomes in rare diseases and provide examples of their application. We identified 46 articles that proposed or described methods for studying patient health outcomes in rare diseases. Articles covered a wide range of rare diseases and most (72%) were published in 2008 or later. We identified 16 research strategies for studying rare disease. Innovative clinical trial methods minimize sample size requirements (n=4) and maximize the proportion of patients who receive active treatment (n=2), strategies crucial to studying small populations of patients with limited treatment choices. No studies describing unique methods for conducting observational studies in patients with rare diseases were identified. Though numerous studies apply unique clinical trial designs and considerations to assess patient health outcomes in rare diseases, less attention has been paid to innovative methods for studying rare diseases using observational data. © Gagne et al 2014.

Case Study in Designing a Research Fundamentals Curriculum for Community Health Workers: A University - Community Clinic Collaborative

PubMed Central

Dumbauld, Jill; Kalichman, Michael; Bell, Yvonne; Dagnino, Cynthia; Taras, Howard

2014-01-01

Introduction Community health workers are increasingly incorporated into research teams. Training them in research methodology and ethics, while relating these themes to a community’s characteristics, may help to better integrate these health promotion personnel into research teams. Approach and Strategies This pilot project involved the design and implementation of an interactive training course on research fundamentals for community health workers from clinics in a rural, predominately Latino setting. Curriculum development was guided by collaborative activities arising from a university - clinic partnership, a community member focus group, and the advice of community-based researchers. The resulting curriculum was interactive and stimulated dialogue between trainees and academic researchers. Discussion and Conclusions Collaboration between researchers and health agency professionals proved to be a practical method to develop curriculum for clinic staff. An interactive curriculum allowed trainees to incorporate community-specific themes into the discussion. This interaction educated course instructors from academia about the community as much as it educated course participants about research. The bidirectional engagement that occurs during the development and teaching of this course can potentially lead to research partnerships between community agencies and academia, better-informed members of the public, and research protocols that accommodate community characteristics. PMID:24121537

Evaluating the Risks of Clinical Research: Direct Comparative Analysis

PubMed Central

Abdoler, Emily; Roberson-Nay, Roxann; Pine, Daniel S.; Wendler, David

2014-01-01

Abstract Objectives: Many guidelines and regulations allow children and adolescents to be enrolled in research without the prospect of clinical benefit when it poses minimal risk. However, few systematic methods exist to determine when research risks are minimal. This situation has led to significant variation in minimal risk judgments, raising concern that some children are not being adequately protected. To address this concern, we describe a new method for implementing the widely endorsed “risks of daily life” standard for minimal risk. This standard defines research risks as minimal when they do not exceed the risks posed by daily life activities or routine examinations. Methods: This study employed a conceptual and normative analysis, and use of an illustrative example. Results: Different risks are composed of the same basic elements: Type, likelihood, and magnitude of harm. Hence, one can compare the risks of research and the risks of daily life by comparing the respective basic elements with each other. We use this insight to develop a systematic method, direct comparative analysis, for implementing the “risks of daily life” standard for minimal risk. The method offers a way of evaluating research procedures that pose the same types of risk as daily life activities, such as the risk of experiencing anxiety, stress, or other psychological harm. We thus illustrate how direct comparative analysis can be applied in practice by using it to evaluate whether the anxiety induced by a respiratory CO2 challenge poses minimal or greater than minimal risks in children and adolescents. Conclusions: Direct comparative analysis is a systematic method for applying the “risks of daily life” standard for minimal risk to research procedures that pose the same types of risk as daily life activities. It thereby offers a method to protect children and adolescents in research, while ensuring that important studies are not blocked because of unwarranted concerns about research risks. PMID:25210944

The standard of healthcare accreditation standards: a review of empirical research underpinning their development and impact

PubMed Central

2012-01-01

Background Healthcare accreditation standards are advocated as an important means of improving clinical practice and organisational performance. Standard development agencies have documented methodologies to promote open, transparent, inclusive development processes where standards are developed by members. They assert that their methodologies are effective and efficient at producing standards appropriate for the health industry. However, the evidence to support these claims requires scrutiny. The study’s purpose was to examine the empirical research that grounds the development methods and application of healthcare accreditation standards. Methods A multi-method strategy was employed over the period March 2010 to August 2011. Five academic health research databases (Medline, Psych INFO, Embase, Social work abstracts, and CINAHL) were interrogated, the websites of 36 agencies associated with the study topic were investigated, and a snowball search was undertaken. Search criteria included accreditation research studies, in English, addressing standards and their impact. Searching in stage 1 initially selected 9386 abstracts. In stage 2, this selection was refined against the inclusion criteria; empirical studies (n = 2111) were identified and refined to a selection of 140 papers with the exclusion of clinical or biomedical and commentary pieces. These were independently reviewed by two researchers and reduced to 13 articles that met the study criteria. Results The 13 articles were analysed according to four categories: overall findings; standards development; implementation issues; and impact of standards. Studies have only occurred in the acute care setting, predominately in 2003 (n = 5) and 2009 (n = 4), and in the United States (n = 8). A multidisciplinary focus (n = 9) and mixed method approach (n = 11) are common characteristics. Three interventional studies were identified, with the remaining 10 studies having research designs to investigate clinical or organisational impacts. No study directly examined standards development or other issues associated with their progression. Only one study noted implementation issues, identifying several enablers and barriers. Standards were reported to improve organisational efficiency and staff circumstances. However, the impact on clinical quality was mixed, with both improvements and a lack of measurable effects recorded. Conclusion Standards are ubiquitous within healthcare and are generally considered to be an important means by which to improve clinical practice and organisational performance. However, there is a lack of robust empirical evidence examining the development, writing, implementation and impacts of healthcare accreditation standards. PMID:22995152

Methodology Series Module 5: Sampling Strategies

PubMed Central

Setia, Maninder Singh

2016-01-01

Once the research question and the research design have been finalised, it is important to select the appropriate sample for the study. The method by which the researcher selects the sample is the ‘ Sampling Method’. There are essentially two types of sampling methods: 1) probability sampling – based on chance events (such as random numbers, flipping a coin etc.); and 2) non-probability sampling – based on researcher's choice, population that accessible & available. Some of the non-probability sampling methods are: purposive sampling, convenience sampling, or quota sampling. Random sampling method (such as simple random sample or stratified random sample) is a form of probability sampling. It is important to understand the different sampling methods used in clinical studies and mention this method clearly in the manuscript. The researcher should not misrepresent the sampling method in the manuscript (such as using the term ‘ random sample’ when the researcher has used convenience sample). The sampling method will depend on the research question. For instance, the researcher may want to understand an issue in greater detail for one particular population rather than worry about the ‘ generalizability’ of these results. In such a scenario, the researcher may want to use ‘ purposive sampling’ for the study. PMID:27688438

Minding the gap between positivism and hermeneutics in psychoanalytic research.

PubMed

Luyten, Patrick; Blatt, Sidney J; Corveleyn, Jozef

2006-01-01

Two quite different cultures are to be found within psychoanalysis, one more clinical in orientation, more focused on meaning and interpretation, and relying primarily on the traditional case study method, the other more research-oriented, focused on cause-and-effect relationships, and relying primarily on methods borrowed from the natural and social sciences. The history of this divide is reviewed and arguments, pro and con, about the potential contributions of specific types of empirical investigation are discussed. Increasingly, it seems, criticisms concerning the scientific status of psychoanalysis are being responded to by empirical research. This has contributed to a growing recognition within the scientific community of the credibility of aspects of psychoanalytic theories and of the effectiveness of psychodynamic treatment. However, some segments of the psychoanalytic community are concerned that this increase in the quantity and quality of empirical research on psychoanalytic concepts risks creating an empirical one-sidedness, while other segments are concerned that not engaging in systematic empirical research can lead to intellectual isolation, fragmentation, stagnation, and orthodoxy. To counter this polarizing tendency, a recommendation is made for methodological pluralism. Adopting this stance could contribute to an enriched understanding of the clinical process and to the development of new research methodologies to investigate complex psychodynamic hypotheses, thus bridging the gap between the two psychoanalytic cultures, as well as the gap between research and clinical practice.

Methodology Series Module 10: Qualitative Health Research

PubMed Central

Setia, Maninder Singh

2017-01-01

Although quantitative designs are commonly used in clinical research, some studies require qualitative methods. These designs are different from quantitative methods; thus, researchers should be aware of data collection methods and analyses for qualitative research. Qualitative methods are particularly useful to understand patient experiences with the treatment or new methods of management or to explore issues in detail. These methods are useful in social and behavioral research. In qualitative research, often, the main focus is to understand the issue in detail rather than generalizability; thus, the sampling methods commonly used are purposive sampling; quota sampling; and snowball sampling (for hard to reach groups). Data can be collected using in-depth interviews (IDIs) or focus group discussions (FGDs). IDI is a one-to-one interview with the participant. FGD is a method of group interview or discussion, in which more than one participant is interviewed at the same time and is usually led by a facilitator. The commonly used methods for data analysis are: thematic analysis; grounded theory analysis; and framework analysis. Qualitative data collection and analysis require special expertise. Hence, if the reader plans to conduct qualitative research, they should team up with a qualitative researcher. PMID:28794545

Methodology Series Module 10: Qualitative Health Research.

PubMed

Setia, Maninder Singh

2017-01-01

Although quantitative designs are commonly used in clinical research, some studies require qualitative methods. These designs are different from quantitative methods; thus, researchers should be aware of data collection methods and analyses for qualitative research. Qualitative methods are particularly useful to understand patient experiences with the treatment or new methods of management or to explore issues in detail. These methods are useful in social and behavioral research. In qualitative research, often, the main focus is to understand the issue in detail rather than generalizability; thus, the sampling methods commonly used are purposive sampling; quota sampling; and snowball sampling (for hard to reach groups). Data can be collected using in-depth interviews (IDIs) or focus group discussions (FGDs). IDI is a one-to-one interview with the participant. FGD is a method of group interview or discussion, in which more than one participant is interviewed at the same time and is usually led by a facilitator. The commonly used methods for data analysis are: thematic analysis; grounded theory analysis; and framework analysis. Qualitative data collection and analysis require special expertise. Hence, if the reader plans to conduct qualitative research, they should team up with a qualitative researcher.

On the integration of personality assessment methods: the Rorschach and MMPI.

PubMed

Meyer, G J

1997-04-01

Despite being the most studied and used personality assessment tools, data from the Rorschach and MMPI generally disagree (Archer & Krishnamurthy, 1993a, 1993b). Independence is proposed to result from at least 3 factors: (a) the methods tap unique levels of personality, (b) personality has a complex organization, and (c) response styles generate considerable method variance that must be considered in nomothetic research. These ideas led to 5 hypotheses, each of which received support. Rorschach and MMPI response styles are uncorrelated, although response styles are quite consistent within a method family. MMPI-2 and Rorschach constructs of dysphoria, psychosis, or wariness are uncorrelated when response styles are ignored. However, robust convergent validity is evident when patients have similar response styles on each method (e.g., for dysphoria, M r = .59) and dysphoria is expressed in opposing ways on each method when response styles are discordant (i.e., M r = -.54). Data from the latter analyses were correlated with genuine clinical phenomena and implications were discussed for clinical practice and research.

Clinical trial design for orthodontists.

PubMed

Pandis, Nikolaos; Cobourne, Martyn T

2013-06-01

High-quality research should form the basis of all clinical practice. Randomized controlled trials currently provide the gold standard for investigating the effectiveness of treatment interventions and these are increasingly being used in orthodontics. Here we discuss the reasons why this form of investigation provides the most useful evidence for assessing treatment outcome. The methods available to achieve true randomization, a fundamental component in the design of these trials, are also discussed. In addition, we focus on how to minimize bias in clinical research, not only during the design and management of a trial, but also when disseminating results. We focus on the importance of using control groups correctly and describe methods that are available to adequately power a trial. Finally, we emphasise the importance of accurate and transparent reporting, which facilitates correct communication and assessment of the evidence.

An Argument for Fewer Clinical Trials.

PubMed

Borgerson, Kirstin

2016-11-01

The volume of clinical research is increasing exponentially-far beyond our ability to process and absorb the results. Given this situation, it may be beneficial to consider reducing the flow at its source. In what follows, I will motivate and critically evaluate the following proposal: researchers should conduct fewer clinical trials. More specifically, I c onsider whether researchers should be permitted to conduct only clinical research of very high quality and, in turn, whether research ethics committees (RECs) should prohibit all other, lower-quality research, even when it might appear to meet some minimal ethical standard. Following a close analysis of the social-value requirement of ethical clinical research, I argue that this proposal is defensible. The problem identified in this paper has two parts, quantity and quality, and some clarification is needed about the latter because "quality" is a highly contested term in the medical literature. When some scholars advocate for high-quality trials, they mean large-scale, simple, explanatory randomized controlled trials. Others, including myself, have defended a different characterization of high-quality research that tends more toward pragmatic trial design and the use of methods other than RCTs. Pragmatic trials aim to provide evidence that directly supports clinical decision-making in "usual" care settings. Unlike explanatory trials, which aim to abstract away from particular settings and patients, in the hopes of creating ideal conditions for the success of an intervention, pragmatic trials deliberately pursue knowledge of high applicability, through the use of representative subjects, clinically important questions, flexible treatment protocols, patient-oriented outcome measures, and so on. I see applicability as a marker of high-quality research. The context in which research is meant to be applied should be the context in which new interventions are evaluated. © 2016 The Hastings Center.

Recruiting Pregnant Patients for Survey Research: A Head to Head Comparison of Social Media-Based Versus Clinic-Based Approaches.

PubMed

Admon, Lindsay; Haefner, Jessica K; Kolenic, Giselle E; Chang, Tammy; Davis, Matthew M; Moniz, Michelle H

2016-12-21

Recruiting a diverse sample of pregnant women for clinical research is a challenging but crucial task for improving obstetric services and maternal and child health outcomes. To compare the feasibility and cost of recruiting pregnant women for survey research using social media-based and clinic-based approaches. Advertisements were used to recruit pregnant women from the social media website Facebook. In-person methods were used to recruit pregnant women from the outpatient clinic of a large, tertiary care center. In both approaches, potential respondents were invited to participate in a 15-minute Web-based survey. Each recruitment method was monitored for 1 month. Using bivariate statistics, we compared the number, demographic characteristics, and health characteristics of women recruited and the cost per completed survey for each recruitment method. The social media-based approach recruited 1178 women and the clinic-based approach recruited 219 women. A higher proportion of subjects recruited through social media identified as African American (29.4%, 207/705 vs 11.2%, 20/179), reported household incomes

The CONSENSUS study: protocol for a mixed methods study to establish which outcomes should be included in a core outcome set for oropharyngeal cancer

PubMed Central

2014-01-01

Background The incidence of oropharyngeal cancer is increasing in the developed world. This has led to a large rise in research activity and clinical trials in this area, yet there is no consensus on which outcomes should be measured. As a result, the outcomes measured often differ between trials of comparable interventions, making the combination or comparison of results between trials impossible. Outcomes may also be ‘cherry-picked’, such that favourable results are reported, and less favourable results withheld. The development of a minimum outcome reporting standard, known as a core outcome set, goes some way to addressing these problems. Core outcome sets are ideally developed using a patient-centred approach so that the outcomes measured are relevant to patients and clinical practice. Core outcome sets drive up the quality and relevance of research by ensuring that the right outcomes are consistently measured and reported in trials in specific areas of health or healthcare. Methods/Design This is a mixed methods study involving three phases to develop a core outcome set for oropharyngeal cancer clinical trials. Firstly, a systematic review will establish which outcomes are measured in published oropharyngeal cancer randomised controlled trials (RCTs). Secondly, qualitative interviews with patients and carers in the UK and the USA will aim to establish which outcomes are important to these stakeholders. Data from these first two stages will be used to develop a comprehensive list of outcomes to be considered for inclusion in the core outcome set. In the third stage, patients and clinicians will participate in an iterative consensus exercise known as a Delphi study to refine the contents of the core outcome set. This protocol lays out the methodology to be implemented in the CONSENSUS study. Discussion A core outcome set defines a minimum outcome reporting standard for clinical trials in a particular area of health or healthcare. Its consistent implementation in oropharyngeal cancer clinical trials will improve the quality and relevance of research. Trials and registration This study is registered at the National Institute for Health Research (NIHR) Clinical Research Network (CRN) portfolio, ID 13823 (17 January 2013). PMID:24885068

Next-generation sequencing for endocrine cancers: Recent advances and challenges.

PubMed

Suresh, Padmanaban S; Venkatesh, Thejaswini; Tsutsumi, Rie; Shetty, Abhishek

2017-05-01

Contemporary molecular biology research tools have enriched numerous areas of biomedical research that address challenging diseases, including endocrine cancers (pituitary, thyroid, parathyroid, adrenal, testicular, ovarian, and neuroendocrine cancers). These tools have placed several intriguing clues before the scientific community. Endocrine cancers pose a major challenge in health care and research despite considerable attempts by researchers to understand their etiology. Microarray analyses have provided gene signatures from many cells, tissues, and organs that can differentiate healthy states from diseased ones, and even show patterns that correlate with stages of a disease. Microarray data can also elucidate the responses of endocrine tumors to therapeutic treatments. The rapid progress in next-generation sequencing methods has overcome many of the initial challenges of these technologies, and their advantages over microarray techniques have enabled them to emerge as valuable aids for clinical research applications (prognosis, identification of drug targets, etc.). A comprehensive review describing the recent advances in next-generation sequencing methods and their application in the evaluation of endocrine and endocrine-related cancers is lacking. The main purpose of this review is to illustrate the concepts that collectively constitute our current view of the possibilities offered by next-generation sequencing technological platforms, challenges to relevant applications, and perspectives on the future of clinical genetic testing of patients with endocrine tumors. We focus on recent discoveries in the use of next-generation sequencing methods for clinical diagnosis of endocrine tumors in patients and conclude with a discussion on persisting challenges and future objectives.

Linked symptom monitoring and depression treatment programmes for specialist cancer services: protocol for a mixed-methods implementation study

PubMed Central

Walker, Jane; Burke, Katy; Sevdalis, Nick; Richardson, Alison; Mulick, Amy; Frost, Chris; Sharpe, Michael

2017-01-01

Introduction There is growing awareness that cancer services need to address patients’ well-being as well as treating their cancer. We developed systematic approaches to (1) monitoring patients’ symptoms including depression using a ‘Symptom Monitoring Service’ and (2) providing treatment for those with major depression using a programme called ‘Depression Care for People with Cancer’. Used together, these two programmes were found to be highly effective and cost-effective in clinical trials. The overall aims of this project are to: (1) study the process of introducing these programmes into routine clinical care in a large cancer service, (2) identify the challenges associated with implementation and how these are overcome, (3) determine their effectiveness in a routine non-research setting and (4) describe patients’ and clinicians’ experience of the programmes. Methods and analysis This is a mixed-methods longitudinal implementation study. We will study the process of implementation in three phases (April 2016–December 2018): ‘Pre-implementation’ (setting up of the new programmes), ‘Early Implementation’ (implementation of the programmes in a small number of clinics) and ‘Implementation and Maintenance’ (implementation in the majority of clinics). We will use the following methods of data collection: (1) contemporaneous logs of the implementation process, (2) interviews with healthcare professionals and managers, (3) interviews with patients and (4) routinely collected clinical data. Ethics and dissemination The study has been reviewed by a joint committee of Oxford University Hospitals National Health Service Foundation Trust Research and Development Department and the University of Oxford’s Clinical Trials and Research Governance Department and judged to be service evaluation, not requiring ethics committee approval. The findings of this study will guide the scaling up implementation of the programmes across the UK and will enable us to construct an implementation toolkit. We will disseminate our findings in publications and at relevant national and international conferences. PMID:28674143

Implementation of customized health information technology in diabetes self management programs.

PubMed

Alexander, Susan; Frith, Karen H; O'Keefe, Louise; Hennigan, Michael A

2011-01-01

The project was a nurse-led implementation of a software application, designed to combine clinical and demographic records for a diabetes education program, which would result in secure, long-term record storage. Clinical information systems may be prohibitively expensive for small practices and require extensive training for implementation. A review of the literature suggests that the use of simple, practice-based registries offer an economical method of monitoring the outcomes of diabetic patients. The database was designed using a common software application, Microsoft Access. The theory used to guide implementation and staff training was Rogers' Diffusion of Innovations theory (1995). Outcomes after a 3-month period included incorporation of 100% of new clinical and demographic patient records into the database and positive changes in staff attitudes regarding software applications used in diabetes self-management training. These objectives were met while keeping project costs under budgeted amounts. As a function of the clinical nurse specialist (CNS) researcher role, there is a need for CNSs to identify innovative and economical methods of data collection. The success of this nurse-led project reinforces suggestions in the literature for less costly methods of data maintenance in small practice settings. Ongoing utilization and enhancement have resulted in the creation of a robust database that could aid in the research of multiple clinical issues. Clinical nurse specialists can use existing evidence to guide and improve both their own practice and outcomes for patients and organizations. Further research regarding specific factors that predict efficient transition of informatics applications, how these factors vary according to practice settings, and the role of the CNS in implementation of such applications is needed.

Matrix-assisted laser desorption ionization-time of flight mass spectrometry: a fundamental shift in the routine practice of clinical microbiology.

PubMed

Clark, Andrew E; Kaleta, Erin J; Arora, Amit; Wolk, Donna M

2013-07-01

Within the past decade, clinical microbiology laboratories experienced revolutionary changes in the way in which microorganisms are identified, moving away from slow, traditional microbial identification algorithms toward rapid molecular methods and mass spectrometry (MS). Historically, MS was clinically utilized as a high-complexity method adapted for protein-centered analysis of samples in chemistry and hematology laboratories. Today, matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) MS is adapted for use in microbiology laboratories, where it serves as a paradigm-shifting, rapid, and robust method for accurate microbial identification. Multiple instrument platforms, marketed by well-established manufacturers, are beginning to displace automated phenotypic identification instruments and in some cases genetic sequence-based identification practices. This review summarizes the current position of MALDI-TOF MS in clinical research and in diagnostic clinical microbiology laboratories and serves as a primer to examine the "nuts and bolts" of MALDI-TOF MS, highlighting research associated with sample preparation, spectral analysis, and accuracy. Currently available MALDI-TOF MS hardware and software platforms that support the use of MALDI-TOF with direct and precultured specimens and integration of the technology into the laboratory workflow are also discussed. Finally, this review closes with a prospective view of the future of MALDI-TOF MS in the clinical microbiology laboratory to accelerate diagnosis and microbial identification to improve patient care.

Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry: a Fundamental Shift in the Routine Practice of Clinical Microbiology

PubMed Central

Clark, Andrew E.; Kaleta, Erin J.; Arora, Amit

2013-01-01

SUMMARY Within the past decade, clinical microbiology laboratories experienced revolutionary changes in the way in which microorganisms are identified, moving away from slow, traditional microbial identification algorithms toward rapid molecular methods and mass spectrometry (MS). Historically, MS was clinically utilized as a high-complexity method adapted for protein-centered analysis of samples in chemistry and hematology laboratories. Today, matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) MS is adapted for use in microbiology laboratories, where it serves as a paradigm-shifting, rapid, and robust method for accurate microbial identification. Multiple instrument platforms, marketed by well-established manufacturers, are beginning to displace automated phenotypic identification instruments and in some cases genetic sequence-based identification practices. This review summarizes the current position of MALDI-TOF MS in clinical research and in diagnostic clinical microbiology laboratories and serves as a primer to examine the “nuts and bolts” of MALDI-TOF MS, highlighting research associated with sample preparation, spectral analysis, and accuracy. Currently available MALDI-TOF MS hardware and software platforms that support the use of MALDI-TOF with direct and precultured specimens and integration of the technology into the laboratory workflow are also discussed. Finally, this review closes with a prospective view of the future of MALDI-TOF MS in the clinical microbiology laboratory to accelerate diagnosis and microbial identification to improve patient care. PMID:23824373

Data for cancer comparative effectiveness research: past, present, and future potential.

PubMed

Meyer, Anne-Marie; Carpenter, William R; Abernethy, Amy P; Stürmer, Til; Kosorok, Michael R

2012-11-01

Comparative effectiveness research (CER) can efficiently and rapidly generate new scientific evidence and address knowledge gaps, reduce clinical uncertainty, and guide health care choices. Much of the potential in CER is driven by the application of novel methods to analyze existing data. Despite its potential, several challenges must be identified and overcome so that CER may be improved, accelerated, and expeditiously implemented into the broad spectrum of cancer care and clinical practice. To identify and characterize the challenges to cancer CER, the authors reviewed the literature and conducted semistructured interviews with 41 cancer CER researchers at the Agency for Healthcare Research and Quality's Developing Evidence to Inform Decisions about Effectiveness (DEcIDE) Cancer CER Consortium. Several data sets for cancer CER were identified and differentiated into an ontology of 8 categories and were characterized in terms of strengths, weaknesses, and utility. Several themes emerged during the development of this ontology and discussions with CER researchers. Dominant among them was accelerating cancer CER and promoting the acceptance of findings, which will necessitate transcending disciplinary silos to incorporate diverse perspectives and expertise. Multidisciplinary collaboration is required, including those with expertise in nonexperimental data, statistics, outcomes research, clinical trials, epidemiology, generalist and specialty medicine, survivorship, informatics, data, and methods, among others. Recommendations highlight the systematic, collaborative identification of critical measures; application of more rigorous study design and sampling methods; policy-level resolution of issues in data ownership, governance, access, and cost; and development and application of consistent standards for data security, privacy, and confidentiality. Copyright © 2012 American Cancer Society.

REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap

PubMed Central

Dunn, William D; Cobb, Jake; Levey, Allan I; Gutman, David A

2017-01-01

Objective A memory clinic at an academic medical center has relied on several ad hoc data capture systems including Microsoft Access and Excel for cognitive assessments over the last several years. However these solutions are challenging to maintain and limit the potential of hypothesis-driven or longitudinal research. REDCap, a secure web application based on php and MySQL, is a practical solution for improving data capture and organization. Here, we present a workflow and toolset to facilitate legacy data migration and real-time clinical research data collection into REDCap as well as challenges encountered. Materials and Methods Legacy data consisted of neuropsychological tests stored in over 4,000 Excel workbooks. Functions for data extraction, norm scoring, converting to REDCap-compatible formats, accessing the REDCap API, and clinical report generation were developed and executed in Python. Results Over 400 unique data points for each workbook were migrated and integrated into our REDCap database. Moving forward, our REDCap-based system replaces the Excel-based data collection method as well as eases the integration to the Electronic Health Record. Conclusion In the age of growing data, efficient organization and storage of clinical and research data is critical for advancing research and providing efficient patient care. We believe that the tools and workflow described in this work to promote legacy data integration as well as real time data collection into REDCap ultimately facilitate these goals. PMID:27396629

How a modified approach to dental coding can benefit personal and professional development with improved clinical outcomes.

PubMed

Lam, Raymond; Kruger, Estie; Tennant, Marc

2014-12-01

One disadvantage of the remarkable achievements in dentistry is that treatment options have never been more varied or confusing. This has made the concept of Evidenced Based Dentistry more applicable to modern dental practice. Despite merit in the concept whereby clinical decisions are guided by scientific evidence, there are problems with establishing a scientific base. This is no more challenging than in modern dentistry where the gap between rapidly developing products/procedures and its evidence base are widening. Furthermore, the burden of oral disease continues to remain high at the population level. These problems have prompted new approaches to enhancing research. The aim of this paper is to outline how a modified approach to dental coding may benefit clinical and population level research. Using publically assessable data obtained from the Australian Chronic Disease Dental Scheme and item codes contained within the Australian Schedule of Dental Services and Glossary, a suggested approach to dental informatics is illustrated. A selection of item codes have been selected and expanded with the addition of suffixes. These suffixes provided circumstantial information that will assist in assessing clinical outcomes such as success rates and prognosis. The use of item codes in administering the CDDS yielded a large database of item codes. These codes are amenable to dental informatics which has been shown to enhance research at both the clinical and population level. This is a cost effective method to supplement existing research methods. Copyright © 2014 Elsevier Inc. All rights reserved.

"Theory Becoming Alive": The Learning Transition Process of Newly Graduated Nurses in Canada.

PubMed

Nour, Violet; Williams, Anne M

2018-01-01

Background Newly graduated nurses often encounter a gap between theory and practice in clinical settings. Although this has been the focus of considerable research, little is known about the learning transition process. Purpose The purpose of this study was to explore the experiences of newly graduated nurses in acute healthcare settings within Canada. This study was conducted to gain a greater understanding of the experiences and challenges faced by graduates. Methods Grounded theory method was utilized with a sample of 14 registered nurses who were employed in acute-care settings. Data were collected using in-depth interviews. Constant comparative analysis was used to analyze data. Results Findings revealed a core category, "Theory Becoming Alive," and four supporting categories: Entry into Practice, Immersion, Committing, and Evolving. Theory Becoming Alive described the process of new graduate nurses' clinical learning experiences as well as the challenges that they encountered in clinical settings after graduating. Conclusions This research provides a greater understanding of learning process of new graduate nurses in Canada. It highlights the importance of providing supportive environments to assist new graduate nurses to develop confidence as independent registered nurses in clinical areas. Future research directions as well as supportive educational strategies are described.

Analysis of professional competencies for the clinical research data management profession: implications for training and professional certification.

PubMed

Zozus, Meredith N; Lazarov, Angel; Smith, Leigh R; Breen, Tim E; Krikorian, Susan L; Zbyszewski, Patrick S; Knoll, Shelly K; Jendrasek, Debra A; Perrin, Derek C; Zambas, Demetris N; Williams, Tremaine B; Pieper, Carl F

2017-07-01

To assess and refine competencies for the clinical research data management profession. Based on prior work developing and maintaining a practice standard and professional certification exam, a survey was administered to a captive group of clinical research data managers to assess professional competencies, types of data managed, types of studies supported, and necessary foundational knowledge. Respondents confirmed a set of 91 professional competencies. As expected, differences were seen in job tasks between early- to mid-career and mid- to late-career practitioners. Respondents indicated growing variability in types of studies for which they managed data and types of data managed. Respondents adapted favorably to the separate articulation of professional competencies vs foundational knowledge. The increases in the types of data managed and variety of research settings in which data are managed indicate a need for formal education in principles and methods that can be applied to different research contexts (ie, formal degree programs supporting the profession), and stronger links with the informatics scientific discipline, clinical research informatics in particular. The results document the scope of the profession and will serve as a foundation for the next revision of the Certified Clinical Data Manager TM exam. A clear articulation of professional competencies and necessary foundational knowledge could inform the content of graduate degree programs or tracks in areas such as clinical research informatics that will develop the current and future clinical research data management workforce. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Recent developments in the behavioural and pharmacological enhancement of extinction of drug seeking.

PubMed

Chesworth, Rose; Corbit, Laura H

2017-01-01

One of the principal barriers to overcoming addiction is the propensity to relapse, even after months or years of abstinence. Relapse can be precipitated by cues and contexts associated with drug use; thus, decreasing the conditioned properties of these cues and contexts may assist in preventing relapse. The predictive power of drug cues and contexts can be reduced by repeatedly presenting them in the absence of the drug reinforcer, a process known as extinction. The potential of extinction to limit relapse has generated considerable interest and research over the past few decades. While pre-clinical animal models suggest extinction learning assists relapse prevention, treatment efficacy is often lacking when extinction learning principles are translated into clinical trials. Conklin and Tiffany (Addiction, 2002) suggest the lack of efficacy in clinical practice may be due to limited translation of procedures demonstrated through animal research and propose several methodological improvements to enhance extinction learning for drug addiction. This review will examine recent advances in the behavioural and pharmacological manipulation of extinction learning, based on research from pre-clinical models. In addition, the translation of pre-clinical findings-both those suggested by Conklin and Tiffany () and novel demonstrations from the past 13 years-into clinical trials and the efficacy of these methods in reducing craving and relapse, where available, will be discussed. Finally, we highlight areas where promising pre-clinical models have not yet been integrated into current clinical practice but, if applied, could improve upon existing behavioural and pharmacological methods. © 2015 Society for the Study of Addiction.

Generating Knowledge in a Learning Study--From the Perspective of a Teacher Researcher

ERIC Educational Resources Information Center

Thorsten, Anja

2017-01-01

The purpose of this article is to discuss and describe how a clinical research method can be used to generate knowledge about teaching and learning. This will be addressed from a teacher researcher's perspective, taking a conducted Learning Study as the departure. Learning Study is an interventionist, iterative and collaborative research approach,…

Assessing Clinical Trial–Associated Workload in Community-Based Research Programs Using the ASCO Clinical Trial Workload Assessment Tool

PubMed Central

Hurley, Patricia; Woo, Kaitlin M.; Szczepanek, Connie; Stewart, Teresa; Robert, Nicholas; Lyss, Alan; Gönen, Mithat; Lilenbaum, Rogerio

2016-01-01

Purpose: Clinical research program managers are regularly faced with the quandary of determining how much of a workload research staff members can manage while they balance clinical practice and still achieve clinical trial accrual goals, maintain data quality and protocol compliance, and stay within budget. A tool was developed to measure clinical trial–associated workload, to apply objective metrics toward documentation of work, and to provide clearer insight to better meet clinical research program challenges and aid in balancing staff workloads. A project was conducted to assess the feasibility and utility of using this tool in diverse research settings. Methods: Community-based research programs were recruited to collect and enter clinical trial–associated monthly workload data into a web-based tool for 6 consecutive months. Descriptive statistics were computed for self-reported program characteristics and workload data, including staff acuity scores and number of patient encounters. Results: Fifty-one research programs that represented 30 states participated. Median staff acuity scores were highest for staff with patients enrolled in studies and receiving treatment, relative to staff with patients in follow-up status. Treatment trials typically resulted in higher median staff acuity, relative to cancer control, observational/registry, and prevention trials. Industry trials exhibited higher median staff acuity scores than trials sponsored by the National Institutes of Health/National Cancer Institute, academic institutions, or others. Conclusion: The results from this project demonstrate that trial-specific acuity measurement is a better measure of workload than simply counting the number of patients. The tool was shown to be feasible and useable in diverse community-based research settings. PMID:27006354

77 FR 61010 - Center for Scientific Review; Notice of Closed Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-05

... Scientific Review Special Emphasis Panel Member Conflict; Biostatistical Methods and Research Design. Date..., Comparative Medicine; 93.333, Clinical Research, 93.306, 93.333, 93.337, 93.393-93.396, 93.837-93.844, 93.846...

Transparency in the reporting of in vivo pre-clinical pain research: The relevance and implications of the ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines.

PubMed

Rice, Andrew S C; Morland, Rosemary; Huang, Wenlong; Currie, Gillian L; Sena, Emily S; Macleod, Malcolm R

2017-12-29

Clear reporting of research is crucial to the scientific process. Poorly designed and reported studies are damaging not only to the efforts of individual researchers, but also to science as a whole. Standardised reporting methods, such as those already established for reporting randomised clinical trials, have led to improved study design and facilitated the processes of clinical systematic review and meta-analysis. Such standards were lacking in the pre-clinical field until the development of the ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines. These were prompted following a survey which highlighted a widespread lack of robust and consistent reporting of pre-clinical in vivo research, with reports frequently omitting basic information required for study replication and quality assessment. The resulting twenty item checklist in ARRIVE covers all aspects of experimental design with particular emphasis on bias reduction and methodological transparency. Influential publishers and research funders have already adopted ARRIVE. Further dissemination and acknowledgement of the importance of these guidelines is vital to their widespread implementation. Conclusions and implications Wide implementation of the ARRIVE guidelines for reporting of in vivo preclinical research, especially pain research, are essential for a much needed increased transparency and quality in publishing such research. ARRIVE will also positively influence improvements in experimental design and quality, assist the conduct of accurate replication studies of important new findings and facilitate meta-analyses of preclinical research.

Proteomic Data Resources for EDRN Ovary Cancer Researchers within the EDRN — EDRN Public Portal

Cancer.gov

This project will generate a highly valuable data resource and make it available to all EDRN ovarian cancer researchers. The resource will include comprehensive proteomic (tandem mass spectrometry, MS/MS) data generated from plasma samples that have been collected between four months and four years prior to clinical detection of ovarian cancer. These pre-clinical samples, provided from the Beta Carotene and Retinol Efficacy Trial (CARET) prospective study, will be interrogated using IPAS, the proteomic profiling method developed by the Hanash Laboratory and with the quantitative methods developed by the McIntosh laboratory. In addition, we will combine these pre-clinical data with already completed IPAS interrogations of plasma collected at the time of ovarian cancer diagnosis. Thus together we will provide information on both pre-clinical and clinical behavior of a large number of proteins. Based on our preliminary work we are able to quantify over 500 plasma proteins in each of these experiments, many of which are putative ovarian cancer biomarkers, showing the platform is capable of providing useful information regarding biomarker candidates.

Delineating the joint hierarchical structure of clinical and personality disorders in an outpatient psychiatric sample.

PubMed

Forbes, Miriam K; Kotov, Roman; Ruggero, Camilo J; Watson, David; Zimmerman, Mark; Krueger, Robert F

2017-11-01

A large body of research has focused on identifying the optimal number of dimensions - or spectra - to model individual differences in psychopathology. Recently, it has become increasingly clear that ostensibly competing models with varying numbers of spectra can be synthesized in empirically derived hierarchical structures. We examined the convergence between top-down (bass-ackwards or sequential principal components analysis) and bottom-up (hierarchical agglomerative cluster analysis) statistical methods for elucidating hierarchies to explicate the joint hierarchical structure of clinical and personality disorders. Analyses examined 24 clinical and personality disorders based on semi-structured clinical interviews in an outpatient psychiatric sample (n=2900). The two methods of hierarchical analysis converged on a three-tier joint hierarchy of psychopathology. At the lowest tier, there were seven spectra - disinhibition, antagonism, core thought disorder, detachment, core internalizing, somatoform, and compulsivity - that emerged in both methods. These spectra were nested under the same three higher-order superspectra in both methods: externalizing, broad thought dysfunction, and broad internalizing. In turn, these three superspectra were nested under a single general psychopathology spectrum, which represented the top tier of the hierarchical structure. The hierarchical structure mirrors and extends upon past research, with the inclusion of a novel compulsivity spectrum, and the finding that psychopathology is organized in three superordinate domains. This hierarchy can thus be used as a flexible and integrative framework to facilitate psychopathology research with varying levels of specificity (i.e., focusing on the optimal level of detailed information, rather than the optimal number of factors). Copyright © 2017 Elsevier Inc. All rights reserved.

Performing skin microbiome research: A method to the madness

PubMed Central

Kong, Heidi H.; Andersson, Björn; Clavel, Thomas; Common, John E.; Jackson, Scott A.; Olson, Nathan D.; Segre, Julia A.; Traidl-Hoffmann, Claudia

2017-01-01

Growing interest in microbial contributions to human health and disease has increasingly led investigators to examine the microbiome in both healthy skin and cutaneous disorders, including acne, psoriasis and atopic dermatitis. The need for common language, effective study design, and validated methods are critical for high-quality, standardized research. Features, unique to skin, pose particular challenges when conducting microbiome research. This review discusses microbiome research standards and highlights important factors to consider, including clinical study design, skin sampling, sample processing, DNA sequencing, control inclusion, and data analysis. PMID:28063650

A comprehensive test of clinical reasoning for medical students: An olympiad experience in Iran

PubMed Central

Monajemi, Alireza; Arabshahi, Kamran Soltani; Soltani, Akbar; Arbabi, Farshid; Akbari, Roghieh; Custers, Eugene; Hadadgar, Arash; Hadizadeh, Fatemeh; Changiz, Tahereh; Adibi, Peyman

2012-01-01

Background: Although some tests for clinical reasoning assessment are now available, the theories of medical expertise have not played a major role in this filed. In this paper, illness script theory was chose as a theoretical framework and contemporary clinical reasoning tests were put together based on this theoretical model. Materials and Methods: This paper is a qualitative study performed with an action research approach. This style of research is performed in a context where authorities focus on promoting their organizations’ performance and is carried out in the form of teamwork called participatory research. Results: Results are presented in four parts as basic concepts, clinical reasoning assessment, test framework, and scoring. Conclusion: we concluded that no single test could thoroughly assess clinical reasoning competency, and therefore a battery of clinical reasoning tests is needed. This battery should cover all three parts of clinical reasoning process: script activation, selection and verification. In addition, not only both analytical and non-analytical reasoning, but also both diagnostic and management reasoning should evenly take into consideration in this battery. This paper explains the process of designing and implementing the battery of clinical reasoning in the Olympiad for medical sciences students through an action research. PMID:23555113

What techniques might be used to harness placebo effects in non-malignant pain? A literature review and survey to develop a taxonomy.

PubMed

Bishop, Felicity L; Coghlan, Beverly; Geraghty, Adam Wa; Everitt, Hazel; Little, Paul; Holmes, Michelle M; Seretis, Dionysis; Lewith, George

2017-06-30

Placebo effects can be clinically meaningful but are seldom fully exploited in clinical practice. This review aimed to facilitate translational research by producing a taxonomy of techniques that could augment placebo analgesia in clinical practice. Literature review and survey. We systematically analysed methods which could plausibly be used to elicit placebo effects in 169 clinical and laboratory-based studies involving non-malignant pain, drawn from seven systematic reviews. In a validation exercise, we surveyed 33 leading placebo researchers (mean 12 years’ research experience, SD 9.8), who were asked to comment on and add to the draft taxonomy derived from the literature. The final taxonomy defines 30 procedures that may contribute to placebo effects in clinical and experimental research, proposes 60 possible clinical applications and classifies procedures into five domains: the patient’s characteristics and belief (5 procedures and 11 clinical applications), the practitioner’s characteristics and beliefs (2 procedures and 4 clinical applications), the healthcare setting (8 procedures and 13 clinical applications), treatment characteristics (8 procedures and 14 clinical applications) and the patientâ€"practitioner interaction (7 procedures and 18 clinical applications). The taxonomy provides a preliminary and novel tool with potential to guide translational research aiming to harness placebo effects for patient benefit in practice. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Measurement of Bone: Diagnosis of SCI-Induced Osteoporosis and Fracture Risk Prediction

PubMed Central

Morse, Leslie R.

2015-01-01

Background: Spinal cord injury (SCI) is associated with a rapid loss of bone mass, resulting in severe osteoporosis and a 5- to 23-fold increase in fracture risk. Despite the seriousness of fractures in SCI, there are multiple barriers to osteoporosis diagnosis and wide variations in treatment practices for SCI-induced osteoporosis. Methods: We review the biological and structural changes that are known to occur in bone after SCI in the context of promoting future research to prevent or reduce risk of fracture in this population. We also review the most commonly used methods for assessing bone after SCI and discuss the strengths, limitations, and clinical applications of each method. Conclusions: Although dual-energy x-ray absorptiometry assessments of bone mineral density may be used clinically to detect changes in bone after SCI, 3-dimensional methods such as quantitative CT analysis are recommended for research applications and are explained in detail. PMID:26689691

How Qualitative Research Informs Clinical and Policy Decision Making in Transplantation: A Review.

PubMed

Tong, Allison; Morton, Rachael L; Webster, Angela C

2016-09-01

Patient-centered care is no longer just a buzzword. It is now widely touted as a cornerstone in delivering quality care across all fields of medicine. However, patient-centered strategies and interventions necessitate evidence about patients' decision-making processes, values, priorities, and needs. Qualitative research is particularly well suited to understanding the experience and perspective of patients, donors, clinicians, and policy makers on a wide range of transplantation-related topics including organ donation and allocation, adherence to prescribed therapy, pretransplant and posttransplant care, implementation of clinical guidelines, and doctor-patient communication. In transplantation, evidence derived from qualitative research has been integrated into strategies for shared decision-making, patient educational resources, process evaluations of trials, clinical guidelines, and policies. The aim of this article is to outline key concepts and methods used in qualitative research, guide the appraisal of qualitative studies, and assist clinicians to understand how qualitative research may inform their practice and policy.

Cervical spondylotic myelopathy: methodological approaches to evaluate the literature and establish best evidence.

PubMed

Skelly, Andrea C; Hashimoto, Robin E; Norvell, Daniel C; Dettori, Joseph R; Fischer, Dena J; Wilson, Jefferson R; Tetreault, Lindsay A; Fehlings, Michael G

2013-10-15

Review of methods. To provide a detailed description of the methods undertaken in the articles in this focus issue pertaining to cervical spondylotic myelopathy (CSM) and ossification of the posterior longitudinal ligament (OPLL) and to describe the process used to develop summary statements and clinical recommendations regarding factors associated with the mechanisms, diagnosis, progression, and treatment of CSM and OPLL. We present methods used in conducting the systematic, evidence-based reviews and development of expert panel summary statements and clinical recommendations of the mechanisms, diagnosis, progression, and treatment of CSM and OPLL. Our intent is that clinicians will combine the information from these systematic reviews, narrative reviews, and primary research studies with an understanding of their own capacities and experience to better manage patients with CSM or OPLL and consider future research for the diagnosis and treatment of these diseases. For the systematic reviews, which make up the bulk of the studies in this focus issue, a systematic search and critical review of the English language literature was undertaken for articles published on the mechanisms, diagnosis, progression, and treatment of CSM and OPLL. Articles were screened for relevance using a priori criteria and relevant articles were critically reviewed. Whether an article was included for review depended on whether the study question was descriptive, one of therapy, or one of prognosis. The strength of evidence for the overall body of literature in each topic area was determined by 2 independent reviewers considering risk of bias, consistency, directness, and precision of results using a modification of the Grading of Recommendation Assessment, Development and Evaluation criteria. Disagreements were resolved by consensus. Findings from articles meeting inclusion criteria were summarized. From these summaries, summary statements or clinical recommendations were formulated among subject experts through a modified Delphi process using the Grading of Recommendation Assessment, Development and Evaluation approach. Methods for the 2 primary research studies and the narrative reviews are also reviewed. Because of the nature of questions that needed to be addressed, not all studies in this focus issue were amenable to systematic review. As a result, this focus issue consists of several different article types, including 1 research protocol, 2 primary research studies, 2 narrative literature reviews, 7 systematic reviews, and 3 articles that combine a systematic review component with either a narrative section (n = 2) or a provider survey (n = 1). In general, the strength of evidence ratings ranged from insufficient to moderate. Summary statements or clinical recommendations were made according to available evidence and study type: 16 summary statements were made across 8 articles, and 17 clinical recommendations were made across 9 articles. Three articles had both summary statements and clinical recommendations, 5 had summary statements only, 6 had clinical recommendations only, and 1 (the research protocol) was not amenable to either. Systematic reviews, narrative reviews, and primary research studies were undertaken to understand the mechanisms, diagnosis, progression, and treatment of CSM and OPLL and to provide summary statements and clinical recommendations. This article reports the methods used in the studies in this focus issue. SUMMARY STATEMENTS: The objectives of this focus issue were met using a variety of article and study designs, each of which has some unique methodological aspects associated with it. The reader should refer to the full article in this issue for additional details specific to that topic. The methods for systematic review follow accepted standards for rigor and, together with the application of Grading of Recommendation Assessment, Development and Evaluation, are intended to allow for transparency in the process for creating the clinical recommendation.

Clinical and technical considerations in the analysis of gingival crevicular fluid.

PubMed

Wassall, Rebecca R; Preshaw, Philip M

2016-02-01

Despite the technical challenges involved when collecting, processing and analyzing gingival crevicular fluid samples, research using gingival crevicular fluid has, and will continue to play, a fundamental role in expanding our understanding of periodontal pathogenesis and healing outcomes following treatment. A review of the literature, however, clearly demonstrates that there is considerable variation in the methods used for collection, processing and analysis of gingival crevicular fluid samples by different research groups around the world. Inconsistent or inadequate reporting impairs interpretation of results, prevents accurate comparison of data between studies and potentially limits the conclusions that can be made from a larger body of evidence. The precise methods used for collection and analysis of gingival crevicular fluid (including calibration studies required before definitive clinical studies) should be reported in detail, either in the methods section of published papers or as an online supplementary file, so that other researchers may reproduce the methodology. Only with clear and transparent reporting will the full impact of future gingival crevicular fluid research be realized. This paper discusses the complexities of gingival crevicular fluid collection and analysis and provides guidance to researchers working in this field. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Illustrating idiographic methods for translation research: moderation effects, natural clinical experiments, and complex treatment-by-subgroup interactions.

PubMed

Ridenour, Ty A; Wittenborn, Andrea K; Raiff, Bethany R; Benedict, Neal; Kane-Gill, Sandra

2016-03-01

A critical juncture in translation research involves the preliminary studies of intervention tools, provider training programs, policies, and other mechanisms used to leverage knowledge garnered at one translation stage into another stage. Potentially useful for such studies are rigorous techniques for conducting within-subject clinical trials, which have advanced incrementally over the last decade. However, these methods have largely not been utilized within prevention or translation contexts. The purpose of this manuscript is to demonstrate the flexibility, wide applicability, and rigor of idiographic clinical trials for preliminary testing of intervention mechanisms. Specifically demonstrated are novel uses of state-space modeling for testing intervention mechanisms of short-term outcomes, identifying heterogeneity in and moderation of within-person treatment mechanisms, a horizontal line plot to refine sampling design during the course of a clinic-based experimental study, and the need to test a treatment's efficacy as treatment is administered along with (e.g., traditional 12-month outcomes).

Implementation of the Exception from Informed Consent Regulations in a Large Multicenter Emergency Clinical Trials Network; the RAMPART Experience

PubMed Central

Silbergleit, Robert; Biros, Michelle H.; Harney, Deneil; Dickert, Neal; Baren, Jill

2012-01-01

Clinical trials investigating therapies for acutely and critically ill and injured patients in the earliest phases of treatment often can only be performed under regulations allowing for exception from informed consent (EFIC) for emergency research. Implementation of these regulations in multicenter clinical trials involves special challenges and opportunities. The Rapid Anticonvulsant Medication Prior to Arrival Trial (RAMPART), the first EFIC trial conducted by the Neurological Emergencies Treatment Trials (NETT) network, combined centralized resources and coordination with retention of local control and flexibility to facilitate compliance with the EFIC regulations. Specific methods used by the NETT included common tools for community consultation and public disclosure, sharing of experiences and knowledge, and reporting of aggregate results. Tracking of community consultation and public disclosure activities and feedback facilitates empirical research on EFIC methods in the network and supports quality improvements for future NETT trials. The NETT model used in RAMPART demonstrates how EFIC may be effectively performed in established clinical trial networks. PMID:22506949

Proposed Standardized Neurological Endpoints for Cardiovascular Clinical Trials: An Academic Research Consortium Initiative.

PubMed

Lansky, Alexandra J; Messé, Steven R; Brickman, Adam M; Dwyer, Michael; van der Worp, H Bart; Lazar, Ronald M; Pietras, Cody G; Abrams, Kevin J; McFadden, Eugene; Petersen, Nils H; Browndyke, Jeffrey; Prendergast, Bernard; Ng, Vivian G; Cutlip, Donald E; Kapadia, Samir; Krucoff, Mitchell W; Linke, Axel; Moy, Claudia Scala; Schofer, Joachim; van Es, Gerrit-Anne; Virmani, Renu; Popma, Jeffrey; Parides, Michael K; Kodali, Susheel; Bilello, Michel; Zivadinov, Robert; Akar, Joseph; Furie, Karen L; Gress, Daryl; Voros, Szilard; Moses, Jeffrey; Greer, David; Forrest, John K; Holmes, David; Kappetein, Arie P; Mack, Michael; Baumbach, Andreas

2017-02-14

Surgical and catheter-based cardiovascular procedures and adjunctive pharmacology have an inherent risk of neurological complications. The current diversity of neurological endpoint definitions and ascertainment methods in clinical trials has led to uncertainties in the neurological risk attributable to cardiovascular procedures and inconsistent evaluation of therapies intended to prevent or mitigate neurological injury. Benefit-risk assessment of such procedures should be on the basis of an evaluation of well-defined neurological outcomes that are ascertained with consistent methods and capture the full spectrum of neurovascular injury and its clinical effect. The Neurologic Academic Research Consortium is an international collaboration intended to establish consensus on the definition, classification, and assessment of neurological endpoints applicable to clinical trials of a broad range of cardiovascular interventions. Systematic application of the proposed definitions and assessments will improve our ability to evaluate the risks of cardiovascular procedures and the safety and effectiveness of preventive therapies. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.

PubMed

Storelli, L; Pagani, E; Rocca, M A; Horsfield, M A; Gallo, A; Bisecco, A; Battaglini, M; De Stefano, N; Vrenken, H; Thomas, D L; Mancini, L; Ropele, S; Enzinger, C; Preziosa, P; Filippi, M

2016-07-21

The automatic segmentation of MS lesions could reduce time required for image processing together with inter- and intraoperator variability for research and clinical trials. A multicenter validation of a proposed semiautomatic method for hyperintense MS lesion segmentation on dual-echo MR imaging is presented. The classification technique used is based on a region-growing approach starting from manual lesion identification by an expert observer with a final segmentation-refinement step. The method was validated in a cohort of 52 patients with relapsing-remitting MS, with dual-echo images acquired in 6 different European centers. We found a mathematic expression that made the optimization of the method independent of the need for a training dataset. The automatic segmentation was in good agreement with the manual segmentation (dice similarity coefficient = 0.62 and root mean square error = 2 mL). Assessment of the segmentation errors showed no significant differences in algorithm performance between the different MR scanner manufacturers (P > .05). The method proved to be robust, and no center-specific training of the algorithm was required, offering the possibility for application in a clinical setting. Adoption of the method should lead to improved reliability and less operator time required for image analysis in research and clinical trials in MS. © 2016 American Society of Neuroradiology.

Rational decision-making in mental health: the role of systematic reviews.

PubMed

Gilbody, Simon M.; Petticrew, Mark

1999-09-01

BACKGROUND: "Systematic reviews" have come to be recognized as the most rigorous method of summarizing confusing and often contradictory primary research in a transparent and reproducible manner. Their greatest impact has been in the summarization of epidemiological literature - particularly that relating to clinical effectiveness. Systematic reviews also have a potential to inform rational decision-making in healthcare policy and to form a component of economic evaluation. AIMS OF THE STUDY: This article aims to introduce the rationale behind systematic reviews and, using examples from mental health, to introduce the strengths and limitations of systematic reviews, particularly in informing mental health policy and economic evaluation. METHODS: Examples are selected from recent controversies surrounding the introduction of new psychiatric drugs (anti-depressants and anti-schizophrenia drugs) and methods of delivering psychiatric care in the community (case management and assertive community treatment). The potential for systematic reviews to (i) produce best estimates of clinical efficacy and effectiveness, (ii) aid economic evaluation and policy decision-making and (iii) highlight gaps in the primary research knowledge base are discussed. Lastly examples are selected from outside mental health to show how systematic reviews have a potential to be explicitly used in economic and health policy evaluation. RESULTS: Systematic reviews produce the best estimates of clinical efficacy, which can form an important component of economic evaluation. Importantly, serious methodological flaws and areas of uncertainty in the primary research literature are identified within an explicit framework. Summary indices of clinical effectiveness can be produced, but it is difficult to produce such summary indices of cost effectiveness by pooling economic data from primary studies. Modelling is commonly used in economic and policy evaluation. Here, systematic reviews can provide the best estimates of effectiveness and, importantly, highlight areas of uncertainty that can be used in "sensitivity analysis". DISCUSSION: Systematic reviews are an important recent methodological advance, the potential for which has only begun to be realized in mental health. This use of systematic reviews is probably most advanced in producing critical summaries of clinical effectiveness data. Systematic reviews cannot produce valid and believable conclusions when the primary research literature is of poor quality. An important function of systematic reviews will be in highlighting this poor quality research which is of little use in mental health decision making. IMPLICATIONS FOR HEALTH PROVISION: Health care provision should be both clinically and cost effective. Systematic reviews are a key component in ensuring that this goal is achieved. IMPLICATIONS FOR HEALTH POLICIES: Systematic reviews have potential to inform health policy. Examples presented show that health policy is often made without due consideration of the research evidence. Systematic reviews can provide robust and believable answers, which can help inform rational decision-making. Importantly, systematic reviews can highlight the need for important primary research and can inform the design of this research such that it provides answers that will help in forming healthcare policy. IMPLICATIONS FOR FURTHER RESEARCH: Systematic reviews should precede costly (and often unnecessary) primary research. Many areas of health policy and practice have yet to be evaluated using systematic review methodology. Methods for the summarization of economic data are methodologically complex and deserve further research

African Americans and participation in clinical trials: differences in beliefs and attitudes by gender.

PubMed

BeLue, R; Taylor-Richardson, K D; Lin, J; Rivera, A T; Grandison, D

2006-12-01

To explore gender differences in perceptions of 1) barriers and motivators to participation in clinical trials and perceived need of clinical trials and 2) perceptions of risks and benefits of participation in clinical trials in African American men and women. Focus groups were conducted among African American participants by gender. A total of 67 African American participated in the focus groups. All focus groups were audio-taped and transcribed verbatim. Data analysis was performed by combining the key elements of grounded theory and content analysis with the assistance of the qualitative software ATLAS.ti 5.0. Different themes emerged for men versus women. The business and economic of research were important to male participants. The researcher-participant relationship emerged as one of the strongest themes related to potential female participation in research. Focus group results indicate that African American men and women present different preferences, beliefs and barriers to participation. Men expressed the desire to know information on funding issues, financial benefit and impact of the research. Women expressed the desire to be treated respectfully and as an individual as opposed to just a study subject. Integrating gender preferences into researcher-participant interactions, advertisement, informed consent delivery and advertisement of research studies may lead to increased participation rates. Discussing and presenting relevant information on clinical research funding mechanisms, and the business of clinical research with potential participants may be helpful in building trust with the researcher and the research team. Creating a process for information exchange and methods to minimize the power imbalance between the researcher and participant may also build trust and help participants feel more comfortable to participate in research.

GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.

PubMed

Doel, Tom; Shakir, Dzhoshkun I; Pratt, Rosalind; Aertsen, Michael; Moggridge, James; Bellon, Erwin; David, Anna L; Deprest, Jan; Vercauteren, Tom; Ourselin, Sébastien

2017-02-01

Clinical imaging data are essential for developing research software for computer-aided diagnosis, treatment planning and image-guided surgery, yet existing systems are poorly suited for data sharing between healthcare and academia: research systems rarely provide an integrated approach for data exchange with clinicians; hospital systems are focused towards clinical patient care with limited access for external researchers; and safe haven environments are not well suited to algorithm development. We have established GIFT-Cloud, a data and medical image sharing platform, to meet the needs of GIFT-Surg, an international research collaboration that is developing novel imaging methods for fetal surgery. GIFT-Cloud also has general applicability to other areas of imaging research. GIFT-Cloud builds upon well-established cross-platform technologies. The Server provides secure anonymised data storage, direct web-based data access and a REST API for integrating external software. The Uploader provides automated on-site anonymisation, encryption and data upload. Gateways provide a seamless process for uploading medical data from clinical systems to the research server. GIFT-Cloud has been implemented in a multi-centre study for fetal medicine research. We present a case study of placental segmentation for pre-operative surgical planning, showing how GIFT-Cloud underpins the research and integrates with the clinical workflow. GIFT-Cloud simplifies the transfer of imaging data from clinical to research institutions, facilitating the development and validation of medical research software and the sharing of results back to the clinical partners. GIFT-Cloud supports collaboration between multiple healthcare and research institutions while satisfying the demands of patient confidentiality, data security and data ownership. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Using EHR Data to Detect Prescribing Errors in Rapidly Discontinued Medication Orders.

PubMed

Burlison, Jonathan D; McDaniel, Robert B; Baker, Donald K; Hasan, Murad; Robertson, Jennifer J; Howard, Scott C; Hoffman, James M

2018-01-01

Previous research developed a new method for locating prescribing errors in rapidly discontinued electronic medication orders. Although effective, the prospective design of that research hinders its feasibility for regular use. Our objectives were to assess a method to retrospectively detect prescribing errors, to characterize the identified errors, and to identify potential improvement opportunities. Electronically submitted medication orders from 28 randomly selected days that were discontinued within 120 minutes of submission were reviewed and categorized as most likely errors, nonerrors, or not enough information to determine status. Identified errors were evaluated by amount of time elapsed from original submission to discontinuation, error type, staff position, and potential clinical significance. Pearson's chi-square test was used to compare rates of errors across prescriber types. In all, 147 errors were identified in 305 medication orders. The method was most effective for orders that were discontinued within 90 minutes. Duplicate orders were most common; physicians in training had the highest error rate ( p  < 0.001), and 24 errors were potentially clinically significant. None of the errors were voluntarily reported. It is possible to identify prescribing errors in rapidly discontinued medication orders by using retrospective methods that do not require interrupting prescribers to discuss order details. Future research could validate our methods in different clinical settings. Regular use of this measure could help determine the causes of prescribing errors, track performance, and identify and evaluate interventions to improve prescribing systems and processes. Schattauer GmbH Stuttgart.

The acceptability of an injectable, once-a-month male contraceptive in China.

PubMed

Zhang, Liying; Shah, Iqbal H; Liu, Yunrong; Vogelsong, Kirsten M; Zhang, Lihong

2006-05-01

An acceptability study of an injectable preparation of the synthetic steroid testosterone undecanoate as a once-a-month male contraceptive method was carried out concurrently with, but independently from, a clinical safety and efficacy trial of this preparation in China, from 1997 to 1999. Three hundred eight men, the entire group of volunteers enrolled in the clinical trial, were interviewed using a structured questionnaire. In addition, 24 sessions of focus group discussions and 54 in-depth interviews were conducted with a broad range of stakeholders, including men enrolled in the trial and their wives, potential users, service providers, principal investigators of the six participating clinical trial centers, provincial and national policy makers, and experts engaged in research and development of male methods of contraception. Overall, men found the regimen to be acceptable, and most reported no change or an improvement in their well-being as a result of participating in the clinical study. The frequency of the injections, monthly semen analyses and the need to use another contraceptive method during the period of sperm suppression were reported inconveniences of the trial. Further research is needed to assess the long-term safety, continuation rates, satisfaction among users and issues related to service delivery.

Advances in Patient-Reported Outcomes: The NIH PROMIS® Measures

PubMed Central

Broderick, Joan E.; DeWitt, Esi Morgan; Rothrock, Nan; Crane, Paul K.; Forrest, Christopher B.

2013-01-01

Patient-reported outcomes (PRO) are questionnaire measures of patients’ symptoms, functioning, and health-related quality of life. They are designed to provide important clinical information that generally cannot be captured with objective medical testing. In 2004, the National Institutes of Health launched a research initiative to improve the clinical research enterprise by developing state-of-the-art PROs. The NIH Patient-Reported Outcomes Measurement System (PROMIS) and Assessment Center are the products of that initiative. Adult, pediatric, and parent-proxy item banks have been developed by using contemporary psychometric methods, yielding rapid, accurate measurements. PROMIS currently provides tools for assessing physical, mental, and social health using short-form and computer-adaptive testing methods. The PROMIS tools are being adopted for use in clinical trials and translational research. They are also being introduced in clinical medicine to assess a broad range of disease outcomes. Recent legislative developments in the United States support greater efforts to include patients’ reports of health experience in order to evaluate treatment outcomes, engage in shared decision-making, and prioritize the focus of treatment. PROs have garnered increased attention by the Food and Drug Administration (FDA) for evaluating drugs and medical devices. Recent calls for comparative effectiveness research favor inclusion of PROs. PROs could also potentially improve quality of care and disease outcomes, provide patient-centered assessment for comparative effectiveness research, and enable a common metric for tracking outcomes across providers and medical systems. PMID:25848562

A targeted metabolomics approach for clinical diagnosis of inborn errors of metabolism.

PubMed

Jacob, Minnie; Malkawi, Abeer; Albast, Nour; Al Bougha, Salam; Lopata, Andreas; Dasouki, Majed; Abdel Rahman, Anas M

2018-09-26

Metabolome, the ultimate functional product of the genome, can be studied through identification and quantification of small molecules. The global metabolome influences the individual phenotype through clinical and environmental interventions. Metabolomics has become an integral part of clinical research and allowed for another dimension of better understanding of disease pathophysiology and mechanism. More than 95% of the clinical biochemistry laboratory routine workload is based on small molecular identification, which can potentially be analyzed through metabolomics. However, multiple challenges in clinical metabolomics impact the entire workflow and data quality, thus the biological interpretation needs to be standardized for a reproducible outcome. Herein, we introduce the establishment of a comprehensive targeted metabolomics method for a panel of 220 clinically relevant metabolites using Liquid chromatography-tandem mass spectrometry (LC-MS/MS) standardized for clinical research. The sensitivity, reproducibility and molecular stability of each targeted metabolite (amino acids, organic acids, acylcarnitines, sugars, bile acids, neurotransmitters, polyamines, and hormones) were assessed under multiple experimental conditions. The metabolic tissue distribution was determined in various rat organs. Furthermore, the method was validated in dry blood spot (DBS) samples collected from patients known to have various inborn errors of metabolism (IEMs). Using this approach, our panel appears to be sensitive and robust as it demonstrated differential and unique metabolic profiles in various rat tissues. Also, as a prospective screening method, this panel of diverse metabolites has the ability to identify patients with a wide range of IEMs who otherwise may need multiple, time-consuming and expensive biochemical assays causing a delay in clinical management. Copyright © 2018 Elsevier B.V. All rights reserved.

Case study and case-based research in emergency nursing and care: Theoretical foundations and practical application in paramedic pre-hospital clinical judgment and decision-making of patients with mental illness.

PubMed

Shaban, Ramon Z; Considine, Julie; Fry, Margaret; Curtis, Kate

2017-02-01

Generating knowledge through quality research is fundamental to the advancement of professional practice in emergency nursing and care. There are multiple paradigms, designs and methods available to researchers to respond to challenges in clinical practice. Systematic reviews, randomised control trials and other forms of experimental research are deemed the gold standard of evidence, but there are comparatively few such trials in emergency care. In some instances it is not possible or appropriate to undertake experimental research. When exploring new or emerging problems where there is limited evidence available, non-experimental methods are required and appropriate. This paper provides the theoretical foundations and an exemplar of the use of case study and case-based research to explore a new and emerging problem in the context of emergency care. It examines pre-hospital clinical judgement and decision-making of mental illness by paramedics. Using an exemplar the paper explores the theoretical foundations and conceptual frameworks of case study, it explains how cases are defined and the role researcher in this form of inquiry, it details important principles and the procedures for data gathering and analysis, and it demonstrates techniques to enhance trustworthiness and credibility of the research. Moreover, it provides theoretically and practical insights into using case study in emergency care. Copyright © 2017 College of Emergency Nursing Australasia. Published by Elsevier Ltd. All rights reserved.

Instructional Methods for Neuroscience in Nurse Anesthesia Graduate Programs: A Survey of Educational Programs

DTIC Science & Technology

1999-10-01

Instructional Methods 4 December 5, 1998). Taught simultaneously with the Human Anatomy course, the neuroscience courses clinically orient the students...drama. His medical writings showed penetrating and often accurate observations on human anatomy , including the nervous system. He established the...Pathophysiology, Advanced Anesthesia Courses, Pharmacology and Human Anatomy . Research Question # 2 The second research question was What are the

Comparative effectiveness research.

PubMed

Hirsch, J A; Schaefer, P W; Romero, J M; Rabinov, J D; Sanelli, P C; Manchikanti, L

2014-09-01

The goal of comparative effectiveness research is to improve health care while dealing with the seemingly ever-rising cost. An understanding of comparative effectiveness research as a core topic is important for neuroradiologists. It can be used in a variety of ways. Its goal is to look at alternative methods of interacting with a clinical condition, ideally, while improving delivery of care. While the Patient-Centered Outcome Research initiative is the most mature US-based foray into comparative effectiveness research, it has been used more robustly in decision-making in other countries for quite some time. The National Institute for Health and Clinical Excellence of the United Kingdom is a noteworthy example of comparative effectiveness research in action. © 2014 by American Journal of Neuroradiology.

The Human Microbiome and Understanding the 16S rRNA Gene in Translational Nursing Science.

PubMed

Ames, Nancy J; Ranucci, Alexandra; Moriyama, Brad; Wallen, Gwenyth R

As more is understood regarding the human microbiome, it is increasingly important for nurse scientists and healthcare practitioners to analyze these microbial communities and their role in health and disease. 16S rRNA sequencing is a key methodology in identifying these bacterial populations that has recently transitioned from use primarily in research to having increased utility in clinical settings. The objectives of this review are to (a) describe 16S rRNA sequencing and its role in answering research questions important to nursing science; (b) provide an overview of the oral, lung, and gut microbiomes and relevant research; and (c) identify future implications for microbiome research and 16S sequencing in translational nursing science. Sequencing using the 16S rRNA gene has revolutionized research and allowed scientists to easily and reliably characterize complex bacterial communities. This type of research has recently entered the clinical setting, one of the best examples involving the use of 16S sequencing to identify resistant pathogens, thereby improving the accuracy of bacterial identification in infection control. Clinical microbiota research and related requisite methods are of particular relevance to nurse scientists-individuals uniquely positioned to utilize these techniques in future studies in clinical settings.

The role of scripts in psychological maladjustment and psychotherapy.

PubMed

Demorest, Amy P

2013-12-01

This article considers the value of script theory for understanding psychological maladjustment and psychotherapy. Scripts are implicit expectations that individuals develop to understand and deal with emotionally significant life experiences. Script theory provides a way to understand the complex patterns of thinking, feeling, and behavior that characterize personal consistency, as well as a way to address personality development and change. As such it is a vital model for understanding both personality and clinical phenomena. The article begins by describing script theory and noting similar models in personality and clinical psychology. It then outlines both idiographic and nomothetic methods for assessing scripts and discusses the strengths and weaknesses of each. A survey of the author's program of research follows, using a nomothetic method to examine the role of interpersonal scripts in psychological maladjustment and psychotherapy. The article concludes by presenting a promising method for future research synthesizing idiographic and nomothetic approaches and raising important questions for future research on the role of scripts in psychological maladjustment and psychotherapy. © 2012 Wiley Periodicals, Inc.

Protecting the privacy of individual general practice patient electronic records for geospatial epidemiology research.

PubMed

Mazumdar, Soumya; Konings, Paul; Hewett, Michael; Bagheri, Nasser; McRae, Ian; Del Fante, Peter

2014-12-01

General practitioner (GP) practices in Australia are increasingly storing patient information in electronic databases. These practice databases can be accessed by clinical audit software to generate reports that inform clinical or population health decision making and public health surveillance. Many audit software applications also have the capacity to generate de-identified patient unit record data. However, the de-identified nature of the extracted data means that these records often lack geographic information. Without spatial references, it is impossible to build maps reflecting the spatial distribution of patients with particular conditions and needs. Links to socioeconomic, demographic, environmental or other geographically based information are also not possible. In some cases, relatively coarse geographies such as postcode are available, but these are of limited use and researchers cannot undertake precision spatial analyses such as calculating travel times. We describe a method that allows researchers to implement meaningful mapping and spatial epidemiological analyses of practice level patient data while preserving privacy. This solution has been piloted in a diabetes risk research project in the patient population of a practice in Adelaide. The method offers researchers a powerful means of analysing geographic clinic data in a privacy-protected manner. © 2014 Public Health Association of Australia.

Clarity and strength of implications for practice in medical journal articles: an exploratory analysis

PubMed Central

Owens, Allessia P; Bartunek, Jean M

2011-01-01

Objective To examine how leading clinical journals report research findings, aiming to assess how they frame their implications for medical practice and to compare that literature's patterns with those of the management literature. Data Source Clinically relevant research articles from three leading clinical journals (N Engl J Med, JAMA, and Ann Intern Med). Methods Review of wording of a sequential sample from 2010, with categorisation, comparison among journals, and comparison with management literature. Results Clinical journals usually state that one approach did or did not differ from another approach (35 of 51 articles, 68.6%), but they recommended a specific course of action (‘therefore, x should be done’) in just 25.5%. One article gave instruction on how to implement the changes. Two-thirds of the reports called for further research. Half used tentative language. Management research articles nearly always specified who should use the information and drew from over 60 types of potential users, whereas the clinical literature named the audience in only 23.5% of clinicians. Conclusions Authors and editors of the clinical literature could test being more clear and direct in presenting implications of research findings for practice, including stating when the findings do not justify changes in practice. PMID:21450773

[Establish research model of post-marketing clinical safety evaluation for Chinese patent medicine].

PubMed

Zheng, Wen-ke; Liu, Zhi; Lei, Xiang; Tian, Ran; Zheng, Rui; Li, Nan; Ren, Jing-tian; Du, Xiao-xi; Shang, Hong-cai

2015-09-01

The safety of Chinese patent medicine has become a focus of social. It is necessary to carry out work on post-marketing clinical safety evaluation for Chinese patent medicine. However, there have no criterions to guide the related research, it is urgent to set up a model and method to guide the practice for related research. According to a series of clinical research, we put forward some views, which contained clear and definite the objective and content of clinical safety evaluation, the work flow should be determined, make a list of items for safety evaluation project, and put forward the three level classification of risk control. We set up a model of post-marketing clinical safety evaluation for Chinese patent medicine. Based this model, the list of items can be used for ranking medicine risks, and then take steps for different risks, aims to lower the app:ds:risksrisk level. At last, the medicine can be managed by five steps in sequence. The five steps are, collect risk signal, risk recognition, risk assessment, risk management, and aftereffect assessment. We hope to provide new ideas for the future research.

Information sources for developing the nursing literature.

PubMed

Oermann, Marilyn H; Nordstrom, Cheryl K; Wilmes, Nancy A; Denison, Doris; Webb, Sue A; Featherston, Diane E; Bednarz, Hedi; Striz, Penelope

2008-04-01

Journals are an important method for disseminating research findings and other evidence for practice to nurses. Bibliometric analyses of nursing journals can reveal information about authorship, types of documents cited, and how information is communicated in nursing, among other characteristics. The purposes of our study were to describe the types of documents used to develop the clinical and research literature in nursing, and extent of gray literature cited in those publications. This was a descriptive study of 18,901 citations of articles in clinical specialty and research journals in nursing published between January 2004 and June 2005. The research team reviewed each citation to assess if the cited document was a journal article, book chapter or book, or document falling into the category of gray literature. Frequency counts for each type of cited document were recorded. Most of the citations were to journal articles (n=14,392, 76.1%) and among those, to articles in medical journals (n=7719, 40.8% of all the citations). This was true for the literature as a whole and for the clinical specialty and research literature separately. Although citations to medical journals were most common, in the clinical nursing literature there was a significantly higher proportion of citations to medical journal articles (n=6332, 44.5%) than in the nursing research literature (n=1387, 29.7%) (LR(X)(2)=326.7, p<0.0001). Nearly 10% of the citations were to gray literature. There was an increase in citations to websites (5.7%) compared to a study done only a few years earlier. Our study documented that journal literature was the primary source of information for communication within nursing. This is consistent with other biomedical and hard sciences where the transfer, assimilation, and use of information occur mainly within the scientific community. With a reliance on journal articles for dissemination of research and evidence for clinical practice, improved methods will be needed for integrating this knowledge and presenting it in a usable form to clinicians. As journals proliferate, it will become increasingly difficult for clinicians to keep current with research findings to guide their practice. The development and testing of new methods for integrating and disseminating research evidence to busy clinicians will be increasingly important in nursing. Gray literature was nearly 10% of the citations. The study also revealed an increase in citations to websites, which is anticipated to continue in the future. Further study is needed on the indexing of gray literature relevant to research use and evidence-based practice in nursing and on how to make this literature easily available to clinicians.

New Research Methods Developed for Studying Diabetic Foot Ulceration

NASA Technical Reports Server (NTRS)

1998-01-01

Dr. Brian Davis, one of the Cleveland Clinic Foundation's researchers, has been investigating the risk factors related to diabetic foot ulceration, a problem that accounts for 20 percent of all hospital admissions for diabetic patients. He had developed a sensor pad to measure the friction and pressure forces under a person's foot when walking. As part of NASA Lewis Research Center's Space Act Agreement with the Cleveland Clinic Foundation, Dr. Davis requested Lewis' assistance in visualizing the data from the sensor pad. As a result, Lewis' Interactive Data Display System (IDDS) was installed at the Cleveland Clinic. This computer graphics program is normally used to visualize the flow of air through aircraft turbine engines, producing color two- and three-dimensional images.

Clinical and translational scientist career success: metrics for evaluation.

PubMed

Lee, Linda S; Pusek, Susan N; McCormack, Wayne T; Helitzer, Deborah L; Martina, Camille A; Dozier, Ann M; Ahluwalia, Jasjit S; Schwartz, Lisa S; McManus, Linda M; Reynolds, Brian D; Haynes, Erin N; Rubio, Doris M

2012-10-01

Despite the increased emphasis on formal training in clinical and translational research and the growth in the number and scope of training programs over the past decade, the impact of training on research productivity and career success has yet to be fully evaluated at the institutional level. In this article, the Education Evaluation Working Group of the Clinical and Translational Science Award Consortium introduces selected metrics and methods associated with the assessment of key factors that affect research career success. The goals in providing this information are to encourage more consistent data collection across training sites, to foster more rigorous and systematic exploration of factors associated with career success, and to help address previously identified difficulties in program evaluation. © 2012 Wiley Periodicals, Inc.

Using a handbook to improve nurses' continence care.

PubMed

Williams, K; Roe, B; Sindhu, F

Nursing care should be based on sound research evidence with demonstrated clinical effectiveness. Dissemination of this research evidence is, therefore, of paramount importance. A study using focus groups was undertaken during 1993-1994 to evaluate the dissemination of a clinical handbook for continence care to qualified nurses, in relation to reported nursing practice in care of the elderly wards/units in one health authority. A total of 124 nurses participated in the study and 98 variables were included. Improvements were recorded in nurses' responses between the pre-test and post-test for 84 (86 per cent) variables in the experimental group and 58 (59 per cent) in the control group. This demonstrates the positive value of the clinical handbook as a method of disseminating research evidence.

Behavioral economics and empirical public policy.

PubMed

Hursh, Steven R; Roma, Peter G

2013-01-01

The application of economics principles to the analysis of behavior has yielded novel insights on value and choice across contexts ranging from laboratory animal research to clinical populations to national trends of global impact. Recent innovations in demand curve methods provide a credible means of quantitatively comparing qualitatively different reinforcers as well as quantifying the choice relations between concurrently available reinforcers. The potential of the behavioral economic approach to inform public policy is illustrated with examples from basic research, pre-clinical behavioral pharmacology, and clinical drug abuse research as well as emerging applications to public transportation and social behavior. Behavioral Economics can serve as a broadly applicable conceptual, methodological, and analytical framework for the development and evaluation of empirical public policy. © Society for the Experimental Analysis of Behavior.

78 FR 3904 - Center for Scientific Review; Notice of Closed Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-17

...; Biostatistical Methods and Research Design Study Section. Date: February 15, 2013. Time: 8:00 a.m. to 6:00 p.m... Domestic Assistance Program Nos. 93.306, Comparative Medicine; 93.333, Clinical Research, 93.306, 93.333...

Clinical Research Informatics: Supporting the Research Study Lifecycle.

PubMed

Johnson, S B

2017-08-01

Objectives: The primary goal of this review is to summarize significant developments in the field of Clinical Research Informatics (CRI) over the years 2015-2016. The secondary goal is to contribute to a deeper understanding of CRI as a field, through the development of a strategy for searching and classifying CRI publications. Methods: A search strategy was developed to query the PubMed database, using medical subject headings to both select and exclude articles, and filtering publications by date and other characteristics. A manual review classified publications using stages in the "research study lifecycle", with key stages that include study definition, participant enrollment, data management, data analysis, and results dissemination. Results: The search strategy generated 510 publications. The manual classification identified 125 publications as relevant to CRI, which were classified into seven different stages of the research lifecycle, and one additional class that pertained to multiple stages, referring to general infrastructure or standards. Important cross-cutting themes included new applications of electronic media (Internet, social media, mobile devices), standardization of data and procedures, and increased automation through the use of data mining and big data methods. Conclusions: The review revealed increased interest and support for CRI in large-scale projects across institutions, regionally, nationally, and internationally. A search strategy based on medical subject headings can find many relevant papers, but a large number of non-relevant papers need to be detected using text words which pertain to closely related fields such as computational statistics and clinical informatics. The research lifecycle was useful as a classification scheme by highlighting the relevance to the users of clinical research informatics solutions. Georg Thieme Verlag KG Stuttgart.

Cinnamon intake lowers fasting blood glucose: an updated meta-analysis

USDA-ARS?s Scientific Manuscript database

OBJECTIVE – To determine if meta-analysis of recent clinical studies of cinnamon intake by people with Type II diabetes and/or prediabetes resulted in significant changes in fasting blood glucose. RESEARCH DESIGN AND METHODS -- Published clinical studies were identified using a literature search (P...

Empirical studies of clinical supervision in psychiatric nursing: A systematic literature review and methodological critique.

PubMed

Buus, Niels; Gonge, Henrik

2009-08-01

The objective of this paper was to systematically review and critically evaluate all English language research papers reporting empirical studies of clinical supervision in psychiatric nursing. The first part of the search strategy was a combination of brief and building block strategies in the PubMed, CINAHL, and PsycINFO databases. The second part was a citation pearl growing strategy with reviews of 179 reference lists. In total, the search strategy demonstrated a low level of precision and a high level of recall. Thirty four articles met the criteria of the review and were systematically evaluated using three checklists. The findings were summarized by using a new checklist with nine overall questions regarding the studies' design, methods, findings, and limitations. The studies were categorized as: (i) effect studies; (ii) survey studies; (iii) interview studies; and (iv) case studies. In general, the studies were relatively small scale; they used relatively new and basic methods for data collection and analysis, and rarely included sufficient strategies for identifying confounding factors or how the researchers' preconceptions influenced the analyses. Empirical research of clinical supervision in psychiatric nursing was characterized by a basic lack of agreement about which models and instruments to use. Challenges and recommendations for future research are discussed. Clinical supervision in psychiatric nursing was commonly perceived as a good thing, but there was limited empirical evidence supporting this claim.

Development and Implementation of Clinical Trial Protocol Templates at the National Institute of Allergy and Infectious Diseases

PubMed Central

Bridge, Heather; Smolskis, Mary; Bianchine, Peter; Dixon, Dennis O.; Kelly, Grace; Herpin, Betsey; Tavel, Jorge

2009-01-01

Background: A clinical research protocol document must reflect both sound scientific rationale as well as local, national and, when applicable, international regulatory and human subject protections requirements. These requirements originate from a variety of sources, undergo frequent revision and are subject to interpretation. Tools to assist clinical investigators in the production of clinical protocols could facilitate navigating these requirements and ultimately increase the efficiency of clinical research. Purpose: The National Institute of Allergy and Infectious Diseases (NIAID) developed templates for investigators to serve as the foundation for protocol development. These protocol templates are designed as tools to support investigators in developing clinical protocols. Methods: NIAID established a series of working groups to determine how to improve its capacity to conduct clinical research more efficiently and effectively. The Protocol Template Working Group was convened to determine what protocol templates currently existed within NIAID and whether standard NIAID protocol templates should be produced. After review and assessment of existing protocol documents and requirements, the group reached consensus about required and optional content, determined the format and identified methods for distribution as well as education of investigators in the use of these templates. Results: The templates were approved by the NIAID Executive Committee in 2006 and posted as part of the NIAID Clinical Research Toolkit[1]website for broad access. These documents require scheduled revisions to stay current with regulatory and policy changes. Limitations: The structure of any clinical protocol template, whether comprehensive or specific to a particular study phase, setting or design, affects how it is used by investigators. Each structure presents its own set of advantages and disadvantages. While useful, protocol templates are not stand-alone tools for creating an optimal protocol document but must be complemented by institutional resources and support. Education and guidance of investigators in the appropriate use of templates is necessary to ensure a complete yet concise protocol document. Due to changing regulatory requirements, clinical protocol templates cannot become static but require frequent revisions. Conclusions: Standard protocol templates that meet applicable regulations can be important tools to assist investigators in the effective conduct of clinical research, but they require dedicated resources and ongoing input from key stakeholders. PMID:19625326

Review of measurement instruments in clinical and research ethics, 1999–2003

PubMed Central

Redman, B K

2006-01-01

Every field of practice has the responsibility to evaluate its outcomes and to test its theories. Evidence of the underdevelopment of measurement instruments in bioethics suggests that attending to strengthening existing instruments and developing new ones will facilitate the interpretation of accumulating bodies of research as well as the making of clinical judgements. A review of 65 instruments reported in the published literature showed 10 with even a minimal level of psychometric data. Two newly developed instruments provide examples of the full use of psychometric and ethical theory. Bioethicists use a wide range of methods for knowledge development and verification; each method should meet stringent standards of quality. PMID:16507659

Measuring Workload Demand of Informatics Systems with the Clinical Case Demand Index

PubMed Central

Iyengar, M. Sriram; Rogith, Deevakar; Florez-Arango, Jose F

2017-01-01

Introduction: The increasing use of Health Information Technology (HIT) can add substantially to workload on clinical providers. Current methods for assessing workload do not take into account the nature of clinical cases and the use of HIT tools while solving them. Methods: The Clinical Case Demand Index (CCDI), consisting of a summary score and visual representation, was developed to meet this need. Consistency with current perceived workload measures was evaluated in a Randomized Control Trial of a mobile health system. Results: CCDI is significantly correlated with existing workload measures and inversely related to provider performance. Discussion: CCDI combines subjective and objective characteristics of clinical cases along with cognitive and clinical dimensions. Applications include evaluation of HIT tools, clinician scheduling, medical education. Conclusion: CCDI supports comparative effectiveness research of HIT tools. In addition, CCDI could have numerous applications including training, clinical trials, design of clinical workflows, and others. PMID:29854166

SU-F-P-33: Combining Research and Professional Practice in the Clinical Setting: A Medical Physicist Personal Experience

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lopez-Tarjuelo, J

Purpose: To initiate a discussion on the current and evolving role of Medical Physicists based on author’s professional and research experience in patient safety and quality control. Methods: Several professionals of the departments of Medical Physics and Radiation Oncology, chiefly devoted to clinical tasks, began a research program on patient safety and quality control in a framework provided by the implementation of intraoperative radiotherapy (IORT). We performed studies on virtual simulation for IORT, in vivo dosimetry, failure mode and effect analysis (FMEA), statistical process control (SPC), and receiver operating characteristics of dosimetric equipment. This was done with the support ofmore » our research foundation and different grants while continuing with our departmental clinical routine involving about 1600 annual treatments with two linacs and different brachytherapy techniques. Results: We published 5 papers in international journals in the last two years. This author conducted a doctoral research which resulted in a dissertation in 2015. The extra time spent after treatments was essential to succeed. Funding and support achieved via our foundation played a crucial role; but this would have not been possible without punctual external mentoring and partnership. FMEA conclusions were able to be implemented only with staff commitment; however, conclusions concerning equipment cannot be easily communicated to manufacturers. These tasks required extra training in the appropriated methods. Conclusion: Research needed the support of a dedicated foundation, which would have been very difficult to obtain with the sole participation of our departments. FMEA and SPC results may need engagement of staff and manufacturers, respectively, hard to achieve without strong recommendations or even a regulatory framework. All these fields need evolution of Medical Physicists’ roles and additional training. Devotion to both clinical tasks and research could be unfeasible for Medical Physicists in the clinical setting without the appropriate rearrangement of their schedules and tasks. Supported by grants IPT-300000-2010-3 and PI11/01659. ERDF funds and Spanish Government.« less

Pre-exposure and postexposure prophylaxes and the combination HIV prevention methods (The Combine! Study): protocol for a pragmatic clinical trial at public healthcare clinics in Brazil.

PubMed

Grangeiro, Alexandre; Couto, Márcia Thereza; Peres, Maria Fernanda; Luiz, Olinda; Zucchi, Eliana Miura; de Castilho, Euclides Ayres; Estevam, Denize Lotufo; Alencar, Rosa; Wolffenbüttel, Karina; Escuder, Maria Mercedes; Calazans, Gabriela; Ferraz, Dulce; Arruda, Érico; Corrêa, Maria da Gloria; Amaral, Fabiana Rezende; Santos, Juliane Cardoso Villela; Alvarez, Vivian Salles; Kietzmann, Tiago

2015-08-25

Few results from programmes based on combination prevention methods are available. We propose to analyse the degree of protection provided by postexposure prophylaxis (PEP) for consensual sexual activity at healthcare clinics, its compensatory effects on sexual behaviour; and the effectiveness of combination prevention methods and pre-exposure prophylaxis (PrEP), compared with exclusively using traditional methods. A total of 3200 individuals aged 16 years or older presenting for PEP at 5 sexually transmitted disease (STD)/HIV clinics in 3 regions of Brazil will be allocated to one of two groups: the PEP group-individuals who come to the clinic within 72 h after a sexual exposure and start PEP; and the non-PEP group-individuals who come after 72 h but within 30 days of exposure and do not start PEP. Clinical follow-up will be conducted initially for 6 months and comprise educational interventions based on information and counselling for using prevention methods, including PrEP. In the second study phase, individuals who remain HIV negative will be regrouped according to the reported use of prevention methods and observed for 18 months: only traditional methods; combined methods; and PrEP. Effectiveness will be analysed according to the incidence of HIV, syphilis and hepatitis B and C and protected sexual behaviour. A structured questionnaire will be administered to participants at baseline and every 6 months thereafter. Qualitative methods will be employed to provide a comprehensive understanding of PEP-seeking behaviour, preventive choices and exposure to HIV. This study will be conducted in accordance with the resolution of the School of Medicine Research Ethics Commission of Universidade de São Paulo (protocol no. 251/14). The databases will be available for specific studies, after management committee approval. Findings will be presented to researchers, health managers and civil society members by means of newspapers, electronic media and scientific journals and meetings. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

The use of emotional intelligence capabilities in clinical reasoning and decision-making: A qualitative, exploratory study.

PubMed

Hutchinson, Marie; Hurley, John; Kozlowski, Desirée; Whitehair, Leeann

2018-02-01

To explore clinical nurses' experiences of using emotional intelligence capabilities during clinical reasoning and decision-making. There has been little research exploring whether, or how, nurses employ emotional intelligence (EI) in clinical reasoning and decision-making. Qualitative phase of a larger mixed-methods study. Semistructured qualitative interviews with a purposive sample of registered nurses (n = 12) following EI training and coaching. Constructivist thematic analysis was employed to analyse the narrative transcripts. Three themes emerged: the sensibility to engage EI capabilities in clinical contexts, motivation to actively engage with emotions in clinical decision-making and incorporating emotional and technical perspectives in decision-making. Continuing to separate cognition and emotion in research, theorising and scholarship on clinical reasoning is counterproductive. Understanding more about nurses' use of EI has the potential to improve the calibre of decisions, and the safety and quality of care delivered. © 2017 John Wiley & Sons Ltd.

Mixed-methods research in nursing - a critical review.

PubMed

Bressan, Valentina; Bagnasco, Annamaria; Aleo, Giuseppe; Timmins, Fiona; Barisone, Michela; Bianchi, Monica; Pellegrini, Ramona; Sasso, Loredana

2017-10-01

To review the use of mixed-methods research in nursing with a particular focus on the extent to which current practice informs nurse researchers. It also aimed to highlight gaps in current knowledge, understanding and reporting of this type of research. Mixed-methods research is becoming increasingly popular among nurses and healthcare professionals. Emergent findings from this type of research are very useful for nurses in practice. The combination of both quantitative and qualitative methods provides a scientific base for practice but also richness from the qualitative enquiry. However, at the same time mixed-methods research is underdeveloped. This study identified mixed-methods research papers and critically evaluated their usefulness for research practice. To support the analysis, we performed a two-stage search using CINAHL to find papers with titles that included the key term 'mixed method'. An analysis of studies that used mixed-methods research revealed some inconsistencies in application and reporting. Attempts to use two distinct research methods in these studies often meant that one or both aspects had limitations. Overall methods were applied in a less rigorous way. This has implications for providing somewhat limited direction for novice researchers. There is also potential for application of evidence in healthcare practice that limited validity. This study highlights current gaps in knowledge, understanding and reporting of mixed-methods research. While these methods are useful to gain insight into clinical problems nurses lack guidance with this type of research. This study revealed that the guidance provided by current mixed-methods research is inconsistent and incomplete and this compounds the lack of available direction. There is an urgent need to develop robust guidelines for using mixed-methods research so that findings may be critically implemented in practice. © 2016 John Wiley & Sons Ltd.

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.

PubMed

Jung, Kenneth; LePendu, Paea; Iyer, Srinivasan; Bauer-Mehren, Anna; Percha, Bethany; Shah, Nigam H

2015-01-01

The trade-off between the speed and simplicity of dictionary-based term recognition and the richer linguistic information provided by more advanced natural language processing (NLP) is an area of active discussion in clinical informatics. In this paper, we quantify this trade-off among text processing systems that make different trade-offs between speed and linguistic understanding. We tested both types of systems in three clinical research tasks: phase IV safety profiling of a drug, learning adverse drug-drug interactions, and learning used-to-treat relationships between drugs and indications. We first benchmarked the accuracy of the NCBO Annotator and REVEAL in a manually annotated, publically available dataset from the 2008 i2b2 Obesity Challenge. We then applied the NCBO Annotator and REVEAL to 9 million clinical notes from the Stanford Translational Research Integrated Database Environment (STRIDE) and used the resulting data for three research tasks. There is no significant difference between using the NCBO Annotator and REVEAL in the results of the three research tasks when using large datasets. In one subtask, REVEAL achieved higher sensitivity with smaller datasets. For a variety of tasks, employing simple term recognition methods instead of advanced NLP methods results in little or no impact on accuracy when using large datasets. Simpler dictionary-based methods have the advantage of scaling well to very large datasets. Promoting the use of simple, dictionary-based methods for population level analyses can advance adoption of NLP in practice. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Teaching medical students to discern ethical problems in human clinical research studies.

PubMed

Roberts, Laura Weiss; Warner, Teddy D; Green Hammond, Katherine A; Brody, Janet L; Kaminsky, Alexis; Roberts, Brian B

2005-10-01

Investigators and institutional review boards are entrusted with ensuring the conduct of ethically sound human studies. Assessing ethical aspects of research protocols is a key skill in fulfilling this duty, yet no empirically validated method exists for preparing professionals to attain this skill. The authors performed a randomized controlled educational intervention, comparing a criteria-based learning method, a clinical-research- and experience-based learning method, and a control group. All 300 medical students enrolled at the University of New Mexico School of Medicine in 2001 were invited to participate. After a single half-hour educational session, a written posttest of ability to detect ethical problems in hypothetical protocol vignettes was administered. The authors analyzed responses to ten protocol vignettes that had been evaluated independently by experts. For each vignette, a global assessment of the perceived significance of ethical problems and the identification of specific ethical problems were evaluated. Eighty-three medical students (27%) volunteered: 50 (60%) were women and 55 (66%) were first- and second-year students. On global assessments, the criteria-focused group perceived ethical problems as more significant than did the other two groups (p < .02). Students in the criteria-focused group were better able than students in the control group (p < .03) to discern specific ethical problems, more closely resembling expert assessments. Unexpectedly, the group focused on clinical research participants identified fewer problems than did the control group (p < .05). The criteria-focused intervention produced enhanced ethical evaluation skills. This work supports the potential value of empirically derived methods for preparing professionals to discern ethical aspects of human studies.

Evaluating the risks of clinical research: direct comparative analysis.

PubMed

Rid, Annette; Abdoler, Emily; Roberson-Nay, Roxann; Pine, Daniel S; Wendler, David

2014-09-01

Many guidelines and regulations allow children and adolescents to be enrolled in research without the prospect of clinical benefit when it poses minimal risk. However, few systematic methods exist to determine when research risks are minimal. This situation has led to significant variation in minimal risk judgments, raising concern that some children are not being adequately protected. To address this concern, we describe a new method for implementing the widely endorsed "risks of daily life" standard for minimal risk. This standard defines research risks as minimal when they do not exceed the risks posed by daily life activities or routine examinations. This study employed a conceptual and normative analysis, and use of an illustrative example. Different risks are composed of the same basic elements: Type, likelihood, and magnitude of harm. Hence, one can compare the risks of research and the risks of daily life by comparing the respective basic elements with each other. We use this insight to develop a systematic method, direct comparative analysis, for implementing the "risks of daily life" standard for minimal risk. The method offers a way of evaluating research procedures that pose the same types of risk as daily life activities, such as the risk of experiencing anxiety, stress, or other psychological harm. We thus illustrate how direct comparative analysis can be applied in practice by using it to evaluate whether the anxiety induced by a respiratory CO2 challenge poses minimal or greater than minimal risks in children and adolescents. Direct comparative analysis is a systematic method for applying the "risks of daily life" standard for minimal risk to research procedures that pose the same types of risk as daily life activities. It thereby offers a method to protect children and adolescents in research, while ensuring that important studies are not blocked because of unwarranted concerns about research risks.

The Role of Research in Academic Psychiatric Departments: A Case Study

ERIC Educational Resources Information Center

Pato, Carlos; Abulseoud, Osama; Pato, Michelle

2011-01-01

Objective: The authors demonstrate the role that research can play in the development of an academic department of psychiatry. Method: The authors explore the challenges and achievements in the transition of one department from a strong clinically- and educationally-centered department to one with an equally strong research focus. Results: The…

Passive Consent for Clinical Research in the Age of HIPAA

PubMed Central

Littenberg, Benjamin; MacLean, Charles D

2006-01-01

BACKGROUND Federal laws and regulations, including the Health Insurance Portability and Accountability Act (HIPAA) of 1996, intended primarily to protect individuals, have been described as significant barriers to the use of clinical registries and other population-based tools for health care research. Although these regulations allow for the waiver or alteration of usual consent procedures when the research meets certain specific criteria, waivers and alterations are rarely used in health care research. METHODS The Vermont Diabetes Information System is a multistate randomized trial of a quality improvement intervention that uses a novel alteration of informed consent to help ensure that the study sample is representative of the target population. Patients are notified by mail that they are eligible for the study and that they may opt out of the study, if they desire, by calling a toll-free number. RESULTS Seven thousand five hundred and fifty-eight patients were invited to participate. Two hundred and ten (2.8%) opted out. Three patients (0.04%) filed complaints, all of which were addressed satisfactorily. CONCLUSIONS Health Insurance Portability and Accountability Act and other federal regulations raise challenges to the use of clinical registries in research, but modifications to the consent process, including passive consent methods, are useful tools to overcome these challenges. It is possible to recruit a broad and representative population under current law while maintaining appropriate protections for research subjects. PMID:16637821

Designing clinically useful systems: examples from medicine and dentistry.

PubMed

Koch, S

2003-12-01

Despite promising results in medical informatics research and the development of a large number of different systems, few systems get beyond a prototype state and are really used in practice. Among other factors, the lack of explicit user focus is one main reason. The research projects presented in this paper follow a user-centered system development approach based on extensive work analyses in interdisciplinary working groups, taking into account human cognitive performance. Different medical and health-care specialists, together with researchers in human-computer interaction and medical informatics, specify future clinical work scenarios. Special focus is put on analysis and design of the information and communication flow and on exploration of intuitive visualization and interaction techniques for clinical information. Adequate choice of the technical access device is made depending on the user's work situation. It is the purpose of this paper to apply this method in two different research projects and thereby to show its potential for designing clinically useful systems that do support and not hamper clinical work. These research projects cover IT support for chairside work in dentistry (http://www.dis.uu.se/mdi/research/projects/orquest) and ICT support for home health care of elderly citizens (http://www.medsci.uu.se/mie/project/closecare).

Stakeholder Assessment of the Evidence for Cancer Genomic Tests: Insights from Three Case Studies

PubMed Central

Deverka, Patricia A.; Schully, Sheri D.; Ishibe, Naoko; Carlson, Josh J.; Freedman, Andrew; Goddard, Katrina A.B.; Khoury, Muin J.; Ramsey, Scott D.

2015-01-01

Insufficient evidence on the net benefits and harms of genomic tests in real-world settings is a translational barrier for genomic medicine. Purpose Understanding stakeholders’ assessment of the current evidence base for clinical practice and coverage decisions should be a critical step to influence research, policy, and practice. Methods Twenty-two stakeholders participated in a workshop exploring the evidence of genomic tests for clinical and coverage decision-making. Stakeholders completed a survey prior to and during the meeting. They also discussed if they would recommend for or against current clinical use of each test. Results At baseline, the level of confidence on the clinical validity and clinical utility of each test varied, although the group expressed greater confidence for EGFR mutation and Lynch Syndrome (LS) testing than for Oncotype DX. Following the discussion, survey results reflected even less confidence for Oncotype DX and EGFR testing, but not LS. The majority of stakeholders would consider clinical use for all three tests, but under the conditions of additional research or a shared clinical decision-making approach. Conclusion Stakeholder engagement in unbiased settings is necessary to understand various perspectives about evidentiary thresholds in genomic medicine. Participants recommended the use of various methods for evidence generation and synthesis. PMID:22481130

Radiography Students' Learning: A Literature Review.

PubMed

Holmström, Anneli; Ahonen, Sanna-Mari

2016-01-01

To describe research methodology and findings concerning radiography students' learning. Health sciences databases were searched to perform a traditional narrative literature review. Thirty-five peer-reviewed articles published between 2000 and 2014 were analyzed using thematic analysis. Specific methods of learning were found to be of the most interest. The studies focused primarily on the use and usability of a method or the students' general experiences of it. The most commonly studied methods were e-learning and interprofessional learning, which students perceived as positive methods for theoretical studies and clinical training. Students' learning regarding research was the focus of only one article reporting a wide variety of students' research interests. Most studies reported quantitative research gathered from questionnaires and surveys. Additional research, especially from a qualitative point of view, is needed to deepen the evidence-based knowledge of radiography student learning.

Increasing reliability of APACHE II scores in a medical-surgical intensive care unit: a quality improvement study.

PubMed

Donahoe, Laura; McDonald, Ellen; Kho, Michelle E; Maclennan, Margaret; Stratford, Paul W; Cook, Deborah J

2009-01-01

Given their clinical, research, and administrative purposes, scores on the Acute Physiology and Chronic Health Evaluation (APACHE) II should be reliable, whether calculated by health care personnel or a clinical information system. To determine reliability of APACHE II scores calculated by a clinical information system and by health care personnel before and after a multifaceted quality improvement intervention. APACHE II scores of 37 consecutive patients admitted to a closed, 15-bed, university-affiliated intensive care unit were collected by a research coordinator, a database clerk, and a clinical information system. After a quality improvement intervention focused on health care personnel and the clinical information system, the same methods were used to collect data on 32 consecutive patients. The research coordinator and the clerk did not know each other's scores or the information system's score. The data analyst did not know the source of the scores until analysis was complete. APACHE II scores obtained by the clerk and the research coordinator were highly reliable (intraclass correlation coefficient, 0.88 before vs 0.80 after intervention; P = .25). No significant changes were detected after the intervention; however, compared with scores of the research coordinator, the overall reliability of APACHE II scores calculated by the clinical information system improved (intraclass correlation coefficient, 0.24 before intervention vs 0.91 after intervention, P < .001). After completion of a quality improvement intervention, health care personnel and a computerized clinical information system calculated sufficiently reliable APACHE II scores for clinical, research, and administrative purposes.

Changing physician behavior: what works?

PubMed

Mostofian, Fargoi; Ruban, Cynthiya; Simunovic, Nicole; Bhandari, Mohit

2015-01-01

There are various interventions for guideline implementation in clinical practice, but the effects of these interventions are generally unclear. We conducted a systematic review to identify effective methods of implementing clinical research findings and clinical guidelines to change physician practice patterns, in surgical and general practice. Systematic review of reviews. We searched electronic databases (MEDLINE, EMBASE, and PubMed) for systematic reviews published in English that evaluated the effectiveness of different implementation methods. Two reviewers independently assessed eligibility for inclusion and methodological quality, and extracted relevant data. Fourteen reviews covering a wide range of interventions were identified. The intervention methods used include: audit and feedback, computerized decision support systems, continuing medical education, financial incentives, local opinion leaders, marketing, passive dissemination of information, patient-mediated interventions, reminders, and multifaceted interventions. Active approaches, such as academic detailing, led to greater effects than traditional passive approaches. According to the findings of 3 reviews, 71% of studies included in these reviews showed positive change in physician behavior when exposed to active educational methods and multifaceted interventions. Active forms of continuing medical education and multifaceted interventions were found to be the most effective methods for implementing guidelines into general practice. Additionally, active approaches to changing physician performance were shown to improve practice to a greater extent than traditional passive methods. Further primary research is necessary to evaluate the effectiveness of these methods in a surgical setting.

Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis

PubMed Central

Mowery, D.; South, B. R.; Kvist, M.; Dalianis, H.

2015-01-01

Summary Objectives We present a review of recent advances in clinical Natural Language Processing (NLP), with a focus on semantic analysis and key subtasks that support such analysis. Methods We conducted a literature review of clinical NLP research from 2008 to 2014, emphasizing recent publications (2012-2014), based on PubMed and ACL proceedings as well as relevant referenced publications from the included papers. Results Significant articles published within this time-span were included and are discussed from the perspective of semantic analysis. Three key clinical NLP subtasks that enable such analysis were identified: 1) developing more efficient methods for corpus creation (annotation and de-identification), 2) generating building blocks for extracting meaning (morphological, syntactic, and semantic subtasks), and 3) leveraging NLP for clinical utility (NLP applications and infrastructure for clinical use cases). Finally, we provide a reflection upon most recent developments and potential areas of future NLP development and applications. Conclusions There has been an increase of advances within key NLP subtasks that support semantic analysis. Performance of NLP semantic analysis is, in many cases, close to that of agreement between humans. The creation and release of corpora annotated with complex semantic information models has greatly supported the development of new tools and approaches. Research on non-English languages is continuously growing. NLP methods have sometimes been successfully employed in real-world clinical tasks. However, there is still a gap between the development of advanced resources and their utilization in clinical settings. A plethora of new clinical use cases are emerging due to established health care initiatives and additional patient-generated sources through the extensive use of social media and other devices. PMID:26293867

The factors facilitating and inhibiting effective clinical decision-making in nursing: a qualitative study

PubMed Central

Hagbaghery, Mohsen Adib; Salsali, Mahvash; Ahmadi, Fazlolah

2004-01-01

Background Nurses' practice takes place in a context of ongoing advances in research and technology. The dynamic and uncertain nature of health care environment requires nurses to be competent decision-makers in order to respond to clients' needs. Recently, the public and the government have criticized Iranian nurses because of poor quality of patient care. However nurses' views and experiences on factors that affect their clinical function and clinical decision-making have rarely been studied. Methods Grounded theory methodology was used to analyze the participants' lived experiences and their viewpoints regarding the factors affecting their clinical function and clinical decision-making. Semi-structured interviews and participant observation methods were used to gather the data. Thirty-eight participants were interviewed and twelve sessions of observation were carried out. Constant comparative analysis method was used to analyze the data. Results Five main themes emerged from the data. From the participants' points of view, "feeling competent", "being self-confident", "organizational structure", "nursing education", and "being supported" were considered as important factors in effective clinical decision-making. Conclusion As participants in this research implied, being competent and self-confident are the most important personal factors influencing nurses clinical decision-making. Also external factors such as organizational structure, access to supportive resources and nursing education have strengthening or inhibiting effects on the nurses' decisions. Individual nurses, professional associations, schools of nursing, nurse educators, organizations that employ nurses and government all have responsibility for developing and finding strategies that facilitate nurses' effective clinical decision-making. They are responsible for identifying barriers and enhancing factors within the organizational structure that facilitate nurses' clinical decision-making. PMID:15068484

How the provenance of electronic health record data matters for research: a case example using system mapping.

PubMed

Johnson, Karin E; Kamineni, Aruna; Fuller, Sharon; Olmstead, Danielle; Wernli, Karen J

2014-01-01

The use of electronic health records (EHRs) for research is proceeding rapidly, driven by computational power, analytical techniques, and policy. However, EHR-based research is limited by the complexity of EHR data and a lack of understanding about data provenance, meaning the context under which the data were collected. This paper presents system flow mapping as a method to help researchers more fully understand the provenance of their EHR data as it relates to local workflow. We provide two specific examples of how this method can improve data identification, documentation, and processing. EHRs store clinical and administrative data, often in unstructured fields. Each clinical system has a unique and dynamic workflow, as well as an EHR customized for local use. The EHR customization may be influenced by a broader context such as documentation required for billing. We present a case study with two examples of using system flow mapping to characterize EHR data for a local colorectal cancer screening process. System flow mapping demonstrated that information entered into the EHR during clinical practice required interpretation and transformation before it could be accurately applied to research. We illustrate how system flow mapping shaped our knowledge of the quality and completeness of data in two examples: (1) determining colonoscopy indication as recorded in the EHR, and (2) discovering a specific EHR form that captured family history. Researchers who do not consider data provenance risk compiling data that are systematically incomplete or incorrect. For example, researchers who are not familiar with the clinical workflow under which data were entered might miss or misunderstand patient information or procedure and diagnostic codes. Data provenance is a fundamental characteristic of research data from EHRs. Given the diversity of EHR platforms and system workflows, researchers need tools for evaluating and reporting data availability, quality, and transformations. Our case study illustrates how system mapping can inform researchers about the provenance of their data as it pertains to local workflows.

Dissemination Bias in Systematic Reviews of Animal Research: A Systematic Review

PubMed Central

Mueller, Katharina F.; Briel, Matthias; Strech, Daniel; Meerpohl, Joerg J.; Lang, Britta; Motschall, Edith; Gloy, Viktoria; Lamontagne, Francois; Bassler, Dirk

2014-01-01

Background Systematic reviews of preclinical studies, in vivo animal experiments in particular, can influence clinical research and thus even clinical care. Dissemination bias, selective dissemination of positive or significant results, is one of the major threats to validity in systematic reviews also in the realm of animal studies. We conducted a systematic review to determine the number of published systematic reviews of animal studies until present, to investigate their methodological features especially with respect to assessment of dissemination bias, and to investigate the citation of preclinical systematic reviews on clinical research. Methods Eligible studies for this systematic review constitute systematic reviews that summarize in vivo animal experiments whose results could be interpreted as applicable to clinical care. We systematically searched Ovid Medline, Embase, ToxNet, and ScienceDirect from 1st January 2009 to 9th January 2013 for eligible systematic reviews without language restrictions. Furthermore we included articles from two previous systematic reviews by Peters et al. and Korevaar et al. Results The literature search and screening process resulted in 512 included full text articles. We found an increasing number of published preclinical systematic reviews over time. The methodological quality of preclinical systematic reviews was low. The majority of preclinical systematic reviews did not assess methodological quality of the included studies (71%), nor did they assess heterogeneity (81%) or dissemination bias (87%). Statistics quantifying the importance of clinical research citing systematic reviews of animal studies showed that clinical studies referred to the preclinical research mainly to justify their study or a future study (76%). Discussion Preclinical systematic reviews may have an influence on clinical research but their methodological quality frequently remains low. Therefore, systematic reviews of animal research should be critically appraised before translating them to a clinical context. PMID:25541734

The acceptability among health researchers and clinicians of social media to translate research evidence to clinical practice: mixed-methods survey and interview study.

PubMed

Tunnecliff, Jacqueline; Ilic, Dragan; Morgan, Prue; Keating, Jennifer; Gaida, James E; Clearihan, Lynette; Sadasivan, Sivalal; Davies, David; Ganesh, Shankar; Mohanty, Patitapaban; Weiner, John; Reynolds, John; Maloney, Stephen

2015-05-20

Establishing and promoting connections between health researchers and health professional clinicians may help translate research evidence to clinical practice. Social media may have the capacity to enhance these connections. The aim of this study was to explore health researchers' and clinicians' current use of social media and their beliefs and attitudes towards the use of social media for communicating research evidence. This study used a mixed-methods approach to obtain qualitative and quantitative data. Participation was open to health researchers and clinicians. Data regarding demographic details, current use of social media, and beliefs and attitudes towards the use of social media for professional purposes were obtained through an anonymous Web-based survey. The survey was distributed via email to research centers, educational and clinical institutions, and health professional associations in Australia, India, and Malaysia. Consenting participants were stratified by country and role and selected at random for semistructured telephone interviews to explore themes arising from the survey. A total of 856 participants completed the questionnaire with 125 participants declining to participate, resulting in a response rate of 87.3%. 69 interviews were conducted with participants from Australia, India, and Malaysia. Social media was used for recreation by 89.2% (749/840) of participants and for professional purposes by 80.0% (682/852) of participants. Significant associations were found between frequency of professional social media use and age, gender, country of residence, and graduate status. Over a quarter (26.9%, 229/852) of participants used social media for obtaining research evidence, and 15.0% (128/852) of participants used social media for disseminating research evidence. Most participants (95.9%, 810/845) felt there was a role for social media in disseminating or obtaining research evidence. Over half of the participants (449/842, 53.3%) felt they had a need for training in the use of social media for professional development. A key barrier to the professional use of social media was concerns regarding trustworthiness of information. A large majority of health researchers and clinicians use social media in recreational and professional contexts. Social media is less frequently used for communication of research evidence. Training in the use of social media for professional development and methods to improve the trustworthiness of information obtained via social media may enhance the utility of social media for communicating research evidence. Future studies should investigate the efficacy of social media in translating research evidence to clinical practice.

Interobserver reliability of a "Standardized Psychiatric Examination" (SPE) for case ascertainment (DSM-III).

PubMed

Romanoski, A J; Nestadt, G; Chahal, R; Merchant, A; Folstein, M F; Gruenberg, E M; McHugh, P R

1988-02-01

The authors describe the Standardized Psychiatric Examination (SPE), a new method for conducting psychiatric examinations in both clinical and research settings that preserves the clinical method. The SPE provides a consistent replicable format for eliciting and recording psychiatric history, signs, and symptoms without perturbing the patient-clinician interaction. By means of the SPE, the clinician can formulate diagnoses using DSM-III or ICD-9 criteria and yet generate CATEGO profiles derived from the Present State Examination, 9th edition. Psychiatrists using the SPE demonstrated high interrater reliability in ascertaining individual psychopathological symptoms (Kappa range, 0.55 to 1.0) and in making DSM-III diagnoses (Kappa range, 0.79 to 1.0) among a sample of study subjects (N = 43) drawn from both a psychiatric inpatient population and a large community sample of nonpatients from the Epidemiological Catchment Area (ECA) study. The implications of the SPE for clinical practice and for research are discussed.

The first interview: Anxieties and research on initiating psychoanalysis.

PubMed

Reith, Bernard

2015-06-01

A qualitative clinical study of preliminary interviews by the Working Party on Initiating Psychoanalysis (WPIP) of the European Psychoanalytic Federation suggests that the unconscious dynamics in first interviews are extraordinarily powerful and that they give rise to deep unconscious anxieties in both patient and analyst, with the corresponding defences against them. Furthermore, the group dynamics observed in the clinical workshops and in the research team doing the study suggest that both the anxieties and the defences are conveyed to these groups in the form of unelaborated 'session residues' provoking renewed anxieties and defences in them. These findings contribute to our understanding of what goes on in first interviews, but also raise interesting questions about the psychoanalytic research process in psychoanalysis and how confrontation with the unknown is dealt with in that context. Rather than as a means to avoid anxiety, method in clinical research can be seen as a way to help the research group to contain its reactions and to tolerate them until the group finds its way to further elaboration. These points are illustrated with a clinical case drawn from the study. Copyright © 2014 Institute of Psychoanalysis.

Two-Photon and Second Harmonic Microscopy in Clinical and Translational Cancer Research

PubMed Central

PERRY, SETH W.; BURKE, RYAN M.; BROWN, EDWARD B.

2012-01-01

Application of two-photon microscopy (TPM) to translational and clinical cancer research has burgeoned over the last several years, as several avenues of pre-clinical research have come to fruition. In this review, we focus on two forms of TPM—two-photon excitation fluorescence microscopy, and second harmonic generation microscopy—as they have been used for investigating cancer pathology in ex vivo and in vivo human tissue. We begin with discussion of two-photon theory and instrumentation particularly as applicable to cancer research, followed by an overview of some of the relevant cancer research literature in areas that include two-photon imaging of human tissue biopsies, human skin in vivo, and the rapidly developing technology of two-photon microendoscopy. We believe these and other evolving two-photon methodologies will continue to help translate cancer research from the bench to the bedside, and ultimately bring minimally invasive methods for cancer diagnosis and treatment to therapeutic reality. PMID:22258888

Houston Methodist Variant Viewer: An Application to Support Clinical Laboratory Interpretation of Next-generation Sequencing Data for Cancer

PubMed Central

Christensen, Paul A.; Ni, Yunyun; Bao, Feifei; Hendrickson, Heather L.; Greenwood, Michael; Thomas, Jessica S.; Long, S. Wesley; Olsen, Randall J.

2017-01-01

Introduction: Next-generation-sequencing (NGS) is increasingly used in clinical and research protocols for patients with cancer. NGS assays are routinely used in clinical laboratories to detect mutations bearing on cancer diagnosis, prognosis and personalized therapy. A typical assay may interrogate 50 or more gene targets that encompass many thousands of possible gene variants. Analysis of NGS data in cancer is a labor-intensive process that can become overwhelming to the molecular pathologist or research scientist. Although commercial tools for NGS data analysis and interpretation are available, they are often costly, lack key functionality or cannot be customized by the end user. Methods: To facilitate NGS data analysis in our clinical molecular diagnostics laboratory, we created a custom bioinformatics tool termed Houston Methodist Variant Viewer (HMVV). HMVV is a Java-based solution that integrates sequencing instrument output, bioinformatics analysis, storage resources and end user interface. Results: Compared to the predicate method used in our clinical laboratory, HMVV markedly simplifies the bioinformatics workflow for the molecular technologist and facilitates the variant review by the molecular pathologist. Importantly, HMVV reduces time spent researching the biological significance of the variants detected, standardizes the online resources used to perform the variant investigation and assists generation of the annotated report for the electronic medical record. HMVV also maintains a searchable variant database, including the variant annotations generated by the pathologist, which is useful for downstream quality improvement and research projects. Conclusions: HMVV is a clinical grade, low-cost, feature-rich, highly customizable platform that we have made available for continued development by the pathology informatics community. PMID:29226007

Questionnaires for assessment of female sexual dysfunction: a review and proposal for a standardized screener.

PubMed

Giraldi, Annamaria; Rellini, Alessandra; Pfaus, James G; Bitzer, Johannes; Laan, Ellen; Jannini, Emmanuele A; Fugl-Meyer, Axel R

2011-10-01

There are many methods to evaluate female sexual function and dysfunction (FSD) in clinical and research settings, including questionnaires, structured interviews, and detailed case histories. Of these, questionnaires have become an easy first choice to screen individuals into different categories of FSD. The aim of this study was to review the strengths and weaknesses of different questionnaires currently available to assess different dimensions of women's sexual function and dysfunction, and to suggest a simple screener for FSD. A literature search of relevant databases, books, and articles in journals was used to identify questionnaires that have been used in basic or epidemiological research, clinical trials, or in clinical settings. Measures were grouped in four levels based on their purposes and degree of development, and were reviewed for their psychometric properties and utility in clinical or research settings. A Sexual Complaints Screener for Women (SCS-W) was then proposed based on epidemiological methods. Although many questionnaires are adequate for their own purposes, our review revealed a serious lack of standardized, internationally (culturally) acceptable questionnaires that are truly epidemiologically validated in general populations and that can be used to assess FSD in women with or without a partner and independent of the partner's gender. The SCS-W is proposed as a 10-item screener to aid clinicians in making a preliminary assessment of FSD. The definition of FSD continues to change and basic screening tools are essential to help advance clinical diagnosis and treatment, or to slate patients adequately into the right diagnostic categories for basic and epidemiological research or clinical trials. © 2011 International Society for Sexual Medicine.

Promoting public awareness of randomised clinical trials using the media: the 'Get Randomised' campaign.

PubMed

Mackenzie, Isla S; Wei, Li; Rutherford, Daniel; Findlay, Evelyn A; Saywood, Wendy; Campbell, Marion K; Macdonald, Thomas M

2010-02-01

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT * Recruitment is key to the success of clinical trials. * Many clinical trials fail to achieve adequate recruitment. * Public understanding and engagement in clinical research could be improved. WHAT THIS STUDY ADDS * 'Get Randomised' is the first campaign of its kind in the UK. * It is possible to improve public awareness of clinical research using the media. * Further work is needed to determine whether improved public awareness leads to increased participation in clinical research in the future. AIM To increase public awareness and understanding of clinical research in Scotland. METHODS A generic media campaign to raise public awareness of clinical research was launched in 2008. The 'Get Randomised' campaign was a Scotland-wide initiative led by the University of Dundee in collaboration with other Scottish universities. Television, radio and newspaper advertising showed leading clinical researchers, general practitioners and patients informing the public about the importance of randomised clinical trials (RCTs). 'Get Randomised' was the central message and interested individuals were directed to the http://www.getrandomised.org website for more information. To assess the impact of the campaign, cross-sectional surveys were conducted in representative samples of 1040 adults in Scotland prior to campaign launch and again 6 months later. RESULTS There was an improvement in public awareness of clinical trials following the campaign; 56.7% [95% confidence interval (CI) 51.8, 61.6] of the sample recalled seeing or hearing advertising about RCTs following the campaign compared with 14.8% (10.8, 18.9) prior to the campaign launch (difference = 41.4%; 95% CI for difference 35.6, 48.3; P < 0.01). Of those who recalled the advertising, 49% felt that the main message was that people should take part more in medical research. However, on whether they would personally take part in a clinical trial if asked, there was little difference in response following the campaign ['yes' 31.3% (28.4, 34.1) prior; 30.4% (27.6, 33.2) following; difference =-0.9%; 95% CI for difference -4.8, 3.1%; P= 0.92]. CONCLUSIONS It is possible to raise public awareness of clinical research using the media, but further efforts may be required to influence individuals' decisions to take part in clinical research.

MMP Inhibitors: Past, present and future.

PubMed

Cathcart, Jillian M; Cao, Jian

2015-06-01

  Development of inhibitors of matrix metalloproteinases (MMPs) has been fraught with challenges. Early compounds largely failed due to poor selectivity and bioavailability. Dose-limiting side effects, off-target interactions, and improperly designed clinical trials significantly impeded clinical success. As information becomes available and technology evolves, tools to combat these obstacles have been developed. Improved methods for high throughput screening and drug design have led to identification of compounds exhibiting high potency, binding affinity, and favorable pharmacokinetic profiles. Current research into MMP inhibitors employs innovative approaches for drug delivery methods and allosteric inhibitors. Such innovation is key for development of clinically successful compounds.

Invited commentary: Evaluating epidemiologic research methods--the importance of response rate calculation.

PubMed

Harris, M Anne

2010-09-15

Epidemiologic research that uses administrative records (rather than registries or clinical surveys) to identify cases for study has been increasingly restricted because of concerns about privacy, making unbiased population-based research less practicable. In their article, Nattinger et al. (Am J Epidemiol. 2010;172(6):637-644) present a method for using administrative data to contact participants that has been well received. However, the methods employed for calculating and reporting response rates require further consideration, particularly the classification of untraceable cases as ineligible. Depending on whether response rates are used to evaluate the potential for bias to influence study results or to evaluate the acceptability of the method of contact, different fractions may be considered. To improve the future study of epidemiologic research methods, a consensus on the calculation and reporting of study response rates should be sought.

Primer in Genetics and Genomics, Article 2-Advancing Nursing Research With Genomic Approaches.

PubMed

Lee, Hyunhwa; Gill, Jessica; Barr, Taura; Yun, Sijung; Kim, Hyungsuk

2017-03-01

Nurses investigate reasons for variable patient symptoms and responses to treatments to inform how best to improve outcomes. Genomics has the potential to guide nursing research exploring contributions to individual variability. This article is meant to serve as an introduction to the novel methods available through genomics for addressing this critical issue and includes a review of methodological considerations for selected genomic approaches. This review presents essential concepts in genetics and genomics that will allow readers to identify upcoming trends in genomics nursing research and improve research practice. It introduces general principles of genomic research and provides an overview of the research process. It also highlights selected nursing studies that serve as clinical examples of the use of genomic technologies. Finally, the authors provide suggestions about how to apply genomic technology in nursing research along with directions for future research. Using genomic approaches in nursing research can advance the understanding of the complex pathophysiology of disease susceptibility and different patient responses to interventions. Nurses should be incorporating genomics into education, clinical practice, and research as the influence of genomics in health-care research and practice continues to grow. Nurses are also well placed to translate genomic discoveries into improved methods for patient assessment and intervention.

Evaluation and validation of social and psychological markers in randomised trials of complex interventions in mental health: a methodological research programme.

PubMed

Dunn, Graham; Emsley, Richard; Liu, Hanhua; Landau, Sabine; Green, Jonathan; White, Ian; Pickles, Andrew

2015-11-01

The development of the capability and capacity to evaluate the outcomes of trials of complex interventions is a key priority of the National Institute for Health Research (NIHR) and the Medical Research Council (MRC). The evaluation of complex treatment programmes for mental illness (e.g. cognitive-behavioural therapy for depression or psychosis) not only is a vital component of this research in its own right but also provides a well-established model for the evaluation of complex interventions in other clinical areas. In the context of efficacy and mechanism evaluation (EME) there is a particular need for robust methods for making valid causal inference in explanatory analyses of the mechanisms of treatment-induced change in clinical outcomes in randomised clinical trials. The key objective was to produce statistical methods to enable trial investigators to make valid causal inferences about the mechanisms of treatment-induced change in these clinical outcomes. The primary objective of this report is to disseminate this methodology, aiming specifically at trial practitioners. The three components of the research were (1) the extension of instrumental variable (IV) methods to latent growth curve models and growth mixture models for repeated-measures data; (2) the development of designs and regression methods for parallel trials; and (3) the evaluation of the sensitivity/robustness of findings to the assumptions necessary for model identifiability. We illustrate our methods with applications from psychological and psychosocial intervention trials, keeping the technical details to a minimum, leaving the reporting of the more theoretical and mathematically demanding results for publication in appropriate specialist journals. We show how to estimate treatment effects and introduce methods for EME. We explain the use of IV methods and principal stratification to evaluate the role of putative treatment effect mediators and therapeutic process measures. These results are extended to the analysis of longitudinal data structures. We consider the design of EME trials. We focus on designs to create convincing IVs, bearing in mind assumptions needed to attain model identifiability. A key area of application that has become apparent during this work is the potential role of treatment moderators (predictive markers) in the evaluation of treatment effect mechanisms for personalised therapies (stratified medicine). We consider the role of targeted therapies and multiarm trials and the use of parallel trials to help elucidate the evaluation of mediators working in parallel. In order to demonstrate both efficacy and mechanism, it is necessary to (1) demonstrate a treatment effect on the primary (clinical) outcome, (2) demonstrate a treatment effect on the putative mediator (mechanism) and (3) demonstrate a causal effect from the mediator to the outcome. Appropriate regression models should be applied for (3) or alternative IV procedures, which account for unmeasured confounding, provided that a valid instrument can be identified. Stratified medicine may provide a setting where such instruments can be designed into the trial. This work could be extended by considering improved trial designs, sample size considerations and measurement properties. The project presents independent research funded under the MRC-NIHR Methodology Research Programme (grant reference G0900678).

The coming of age of telecommunications in psychological research and practice.

PubMed

Jerome, Leigh W; DeLeon, Patrick H; James, Larry C; Folen, Raymond; Earles, Jay; Gedney, Jeffrey J

2000-04-01

Rapid and far-reaching technological advances are revolutionizing the ways in which people relate, communicate, and live their daily lives. Technologies that were hardly used a few years ago, such as the Internet, e-mail, and video teleconferencing, are becoming familiar methods for modern communication. Telecommunications will continue to evolve quickly, spawning telehealth applications for research and the provision of clinical care in communities, university settings, clinics, and medical facilities. The impact on psychology will be significant. This article examines the application of developing technologies as they relate to psychology and discusses implications for professional research and practice.

Assessing mental imagery in clinical psychology: A review of imagery measures and a guiding framework

PubMed Central

Pearson, David G.; Deeprose, Catherine; Wallace-Hadrill, Sophie M.A.; Heyes, Stephanie Burnett; Holmes, Emily A.

2013-01-01

Mental imagery is an under-explored field in clinical psychology research but presents a topic of potential interest and relevance across many clinical disorders, including social phobia, schizophrenia, depression, and post-traumatic stress disorder. There is currently a lack of a guiding framework from which clinicians may select the domains or associated measures most likely to be of appropriate use in mental imagery research. We adopt an interdisciplinary approach and present a review of studies across experimental psychology and clinical psychology in order to highlight the key domains and measures most likely to be of relevance. This includes a consideration of methods for experimentally assessing the generation, maintenance, inspection and transformation of mental images; as well as subjective measures of characteristics such as image vividness and clarity. We present a guiding framework in which we propose that cognitive, subjective and clinical aspects of imagery should be explored in future research. The guiding framework aims to assist researchers in the selection of measures for assessing those aspects of mental imagery that are of most relevance to clinical psychology. We propose that a greater understanding of the role of mental imagery in clinical disorders will help drive forward advances in both theory and treatment. PMID:23123567

Post-market clinical research conducted by medical device manufacturers: a cross-sectional survey

PubMed Central

Ross, Joseph S; Blount, Katrina L; Ritchie, Jessica D; Hodshon, Beth; Krumholz, Harlan M

2015-01-01

Background In the US, once a medical device is made available for use, several requirements have been established by the US Food and Drug Administration (FDA) to ensure ongoing post-market surveillance of device safety and effectiveness. Our objective was to determine how commonly medical device manufacturers initiate post-market clinical studies or augment FDA post-market surveillance requirements for higher-risk devices that are most often approved via the FDA’s pre-market approval (PMA) pathway. Methods and results We conducted a cross-sectional survey of 47 manufacturers with operations in California, Minnesota, and Massachusetts who market devices approved via the PMA pathway. Among 22 respondents (response rate =47%), nearly all self-reported conducting post-market clinical research studies, commonly between 1 and 5; only 1 respondent reported never conducting post-market clinical research studies. While manufacturers most often engaged in these studies to satisfy FDA requirements, other reasons were reported, including performance monitoring and surveillance and market acceptance initiatives. Risks of conducting and not conducting post-market clinical research studies were described through open-ended response to questions. Conclusion Medical device manufacturers commonly initiate post-market clinical studies at the request of the FDA. Clinical data from these studies should be integrated into national post-market surveillance initiatives. PMID:26060416

Practical aspects of recruitment and retention in clinical trials of rare genetic diseases: the phenylketonuria (PKU) experience.

PubMed

DeWard, Stephanie J; Wilson, Ashley; Bausell, Heather; Volz, Ashley S; Mooney, Kimberly

2014-02-01

Bringing treatments for rare genetic diseases to patients requires clinical research. Despite increasing activism from patient support and advocacy groups to increase access to clinical research studies, connecting rare disease patients with the clinical research opportunities that may help them has proven challenging. Chief among these challenges are the low incidence of these diseases resulting in a very small pool of known patients with a particular disease, difficulty of diagnosing rare genetic diseases, logistical issues such as long distances to the nearest treatment center, and substantial disease burden leading to loss of independence. Using clinical studies of phenylketonuria as an example, this paper discusses how, based on the authors' collective experience, partnership among clinicians, patients, study coordinators, genetic counselors, dietitians, industry, patient support groups, and families can help overcome the challenges of recruiting and retaining patients in rare disease clinical trials. We discuss specific methods of collaboration, communication, and education as part of a long-term effort to build a community committed to advancing the medical care of patients with rare genetic diseases. By talking to patients and families regularly about research initiatives and taking steps to make study participation as easy as possible, rare disease clinic staff can help ensure adequate study enrollment and successful study completion.

The experience of Australian project leaders in encouraging practitioners to adopt research evidence in their clinical practice.

PubMed

Henderson, Amanda J; Davies, Jan; Willet, Michaela R

2006-11-01

This paper describes a qualitative program evaluation which sought to identify factors that either assist or impede the adoption of clinical evidence in everyday practice. Thirteen Australian projects were funded in a competitive grant program to adopt innovative strategies to improve the uptake of research evidence in everyday clinical practice. Project leaders' reports were analysed to collate common themes related to 1) critical elements in successful application of research knowledge, 2) barriers to implementing evidence, and 3) lessons for other organisations that might implement a similar project. Despite the diversity of the methods used to establish projects and the range of topics and clinical settings, many similarities were identified in the perceived critical success elements, barriers, and lessons for adopting clinical evidence. Eighteen themes emerged across the data including: leadership support; key stakeholder involvement; practice changes; communication; resources; education of staff; evaluation of outcomes; consumers; knowledge gaps; adoption/implementing staff; access to knowledge; risk assessment; collaboration; effectiveness of clinical research evidence; structure/organisation; cultural barriers; previous experiences; and information technology. Leaders of projects to adopt evidence in clinical practice identified barriers, critical success elements and lessons that impacted on their projects. A range of influences on the adoption of evidence were identified, and this knowledge can be used to assist others undertaking similar projects.

Clinical Bioinformatics: challenges and opportunities

PubMed Central

2012-01-01

Background Network Tools and Applications in Biology (NETTAB) Workshops are a series of meetings focused on the most promising and innovative ICT tools and to their usefulness in Bioinformatics. The NETTAB 2011 workshop, held in Pavia, Italy, in October 2011 was aimed at presenting some of the most relevant methods, tools and infrastructures that are nowadays available for Clinical Bioinformatics (CBI), the research field that deals with clinical applications of bioinformatics. Methods In this editorial, the viewpoints and opinions of three world CBI leaders, who have been invited to participate in a panel discussion of the NETTAB workshop on the next challenges and future opportunities of this field, are reported. These include the development of data warehouses and ICT infrastructures for data sharing, the definition of standards for sharing phenotypic data and the implementation of novel tools to implement efficient search computing solutions. Results Some of the most important design features of a CBI-ICT infrastructure are presented, including data warehousing, modularity and flexibility, open-source development, semantic interoperability, integrated search and retrieval of -omics information. Conclusions Clinical Bioinformatics goals are ambitious. Many factors, including the availability of high-throughput "-omics" technologies and equipment, the widespread availability of clinical data warehouses and the noteworthy increase in data storage and computational power of the most recent ICT systems, justify research and efforts in this domain, which promises to be a crucial leveraging factor for biomedical research. PMID:23095472

The Applicability of Lean and Six Sigma Techniques to Clinical and Translational Research

PubMed Central

Schweikhart, Sharon A.; Dembe, Allard E

2010-01-01

Background Lean and Six Sigma are business management strategies commonly used in production industries to improve process efficiency and quality. During the past decade, these process improvement techniques increasingly have been applied outside of the manufacturing sector, for example, in health care and in software development. This article concerns the potential use of Lean and Six Sigma to improve the processes involved in clinical and translational research. Improving quality, avoiding delays and errors, and speeding up the time to implementation of biomedical discoveries are prime objectives of the NIH Roadmap for Biomedical Research and the NIH Clinical and Translational Science Award (CTSA) program. Methods This article presents a description of the main principles, practices, and methodologies used in Lean and Six Sigma. Available literature involving applications of Lean and Six Sigma to health care, laboratory science, and clinical and translational research is reviewed. Specific issues concerning the use of these techniques in different phases of translational research are identified. Results Examples are provided of Lean and Six Sigma applications that are being planned at a current CTSA site, which could potentially be replicated elsewhere. We describe how different process improvement approaches are best adapted for particularly translational research phases. Conclusions Lean and Six Sigma process improvement methodologies are well suited to help achieve NIH’s goal of making clinical and translational research more efficient and cost-effective, enhancing the quality of the research, and facilitating the successful adoption of biomedical research findings into practice. PMID:19730130

Evaluation systems for clinical governance development: a comparative study.

PubMed

Hooshmand, Elaheh; Tourani, Sogand; Ravaghi, Hamid; Ebrahimipour, Hossein

2014-01-01

Lack of scientific and confirmed researches and expert knowledge about evaluation systems for clinical governance development in Iran have made studies on different evaluation systems for clinical governance development a necessity. These studies must provide applied strategies to design criteria of implementing clinical governance for hospital's accreditation. This is a descriptive and comparative study on development of clinical governance models all over the world. Data have been gathered by reviewing related articles. Models have been studied in comprehensive review method. The evaluated models of clinical governance development were Australian, NHS, SPOCK and OPTIGOV. The final aspects extracted from these models were Responsiveness, Policies and Strategies, Organizational Structure, Allocating Resources, Education and Occupational Development, Performance Evaluation, External Evaluation, Patient Oriented Approach, Risk Management, Personnel's Participation, Information Technology, Human Resources, Research and Development, Evidence Based Medicine, Clinical Audit, Health Technology Assessment and Quality. These results are applicable for completing the present criteria which evaluating clinical governance application and provide practical framework to evaluate country's hospital on the basis of clinical governance elements.

Exploring the value of qualitative research films in clinical education.

PubMed

Toye, Fran; Jenkins, Sue; Seers, Kate; Barker, Karen

2015-11-27

Many healthcare professionals use both quantitative and qualitative research to inform their practice. The usual way to access research findings is through peer-reviewed publications. This study aimed to understand the impact on healthcare professionals of watching and discussing a short research based film. The film, 'Struggling to be me' portrays findings from a qualitative synthesis exploring people's experiences of chronic pain, and was delivered as part of an inter-professional postgraduate e-learning module. The innovation of our study is to be the first to explore the impact of qualitative research portrayed through the medium of film in clinical education. All nineteen healthcare professionals enrolled on the course in December 2013 took part in on-line interviews or focus groups. We recorded and transcribed the interviews verbatim and used the methods of Grounded Theory to analyse the interview transcripts. Watching and discussing the film became a stimulus for learning : (a) A glimpse beneath the surface explored a pro-active way of seeing the person behind the pain (b) Pitfalls of the Medical Model recognised the challenge, for both patient and clinician, of 'sitting with' rather than 'fixing' an ill person; (c) Feeling bombarded by despair acknowledged the intense emotions that the clinicians brings to the clinical encounter; (d) Reconstructing the clinical encounter as a shared journey reconstructed the time-constrained clinical encounter as a single step on a shared journey towards healing, rather than fixing. Films portraying qualitative research findings can stimulate a pro-active and dialectic form of knowing. Research-based qualitative films can make qualitative findings accessible and can be a useful resource in clinical training. Our research presents, for the first time, specific learning themes for clinical education.

About ATMPs, SOPs and GMP: The Hurdles to Produce Novel Skin Grafts for Clinical Use

PubMed Central

Hartmann-Fritsch, Fabienne; Marino, Daniela; Reichmann, Ernst

2016-01-01

Background The treatment of severe full-thickness skin defects represents a significant and common clinical problem worldwide. A bio-engineered autologous skin substitute would significantly reduce the problems observed with today's gold standard. Methods Within 15 years of research, the Tissue Biology Research Unit of the University Children's Hospital Zurich has developed autologous tissue-engineered skin grafts based on collagen type I hydrogels. Those products are considered as advanced therapy medicinal products (ATMPs) and are routinely produced for clinical trials in a clean room facility following the guidelines for good manufacturing practice (GMP). This article focuses on hurdles observed for the translation of ATMPs from research into the GMP environment and clinical application. Results and Conclusion Personalized medicine in the field of rare diseases has great potential. However, ATMPs are mainly developed and promoted by academia, hospitals, and small companies, which face many obstacles such as high financial burdens. PMID:27781022

Annotation: Childhood-Onset Schizophrenia--Clinical and Treatment Issues

ERIC Educational Resources Information Center

Asarnow, Joan Rosenbaum; Tompson, Martha C.; McGrath, Emily P.

2004-01-01

Background: In the past 10 years, there has been increased research on childhood-onset schizophrenia and clear advances have been achieved. Method: This annotation reviews the recent clinical and treatment literature on childhood-onset schizophrenia. Results: There is now strong evidence that the syndrome of childhood-onset schizophrenia exists…

Evidence-Based Clinical Voice Assessment: A Systematic Review

ERIC Educational Resources Information Center

Roy, Nelson; Barkmeier-Kraemer, Julie; Eadie, Tanya; Sivasankar, M. Preeti; Mehta, Daryush; Paul, Diane; Hillman, Robert

2013-01-01

Purpose: To determine what research evidence exists to support the use of voice measures in the clinical assessment of patients with voice disorders. Method: The American Speech-Language-Hearing Association (ASHA) National Center for Evidence-Based Practice in Communication Disorders staff searched 29 databases for peer-reviewed English-language…

Children with Phonological Problems: A Survey of Clinical Practice

ERIC Educational Resources Information Center

Joffe, Victoria; Pring, T.

2008-01-01

Background: Children with phonological problems are a significant proportion of many therapists' caseloads. However, little is known about current clinical practice with these children or whether research on the effects of therapy have influenced this practice. Aims: To investigate the methods of assessment and remediation used by therapists…

Clinical aviation medicine research : comparison of simultaneous measurements of intra-aortic and auscultatory blood pressures with pressure-flow dynamics during rest and excercise.

DOT National Transportation Integrated Search

1966-10-01

The study provides correlative information with respect to the comparative accuracy of the traditional 'cuff' clinical method of obtaining blood pressure and the laboratory catheterization procedure which measures actual blood pressure. The informati...

Giving Voice to Study Volunteers: Comparing views of mentally ill, physically ill, and healthy protocol participants on ethical aspects of clinical research

PubMed Central

Roberts, Laura Weiss; Kim, Jane Paik

2014-01-01

Motivation Ethical controversy surrounds clinical research involving seriously ill participants. While many stakeholders have opinions, the extent to which protocol volunteers themselves see human research as ethically acceptable has not been documented. To address this gap of knowledge, authors sought to assess views of healthy and ill clinical research volunteers regarding the ethical acceptability of human studies involving individuals who are ill or are potentially vulnerable. Methods Surveys and semi-structured interviews were used to query clinical research protocol participants and a comparison group of healthy individuals. A total of 179 respondents participated in this study: 150 in protocols (60 mentally ill, 43 physically ill, and 47 healthy clinical research protocol participants) and 29 healthy individuals not enrolled in protocols. Main outcome measures included responses regarding ethical acceptability of clinical research when it presents significant burdens and risks, involves people with serious mental and physical illness, or enrolls people with other potential vulnerabilities in the research situation. Results Respondents expressed decreasing levels of acceptance of participation in research that posed burdens of increasing severity. Participation in protocols with possibly life-threatening consequences was perceived as least acceptable (mean = 1.82, sd = 1.29). Research on serious illnesses, including HIV, cancer, schizophrenia, depression, and post-traumatic stress disorder, was seen as ethically acceptable across respondent groups (range of means = [4.0, 4.7]). Mentally ill volunteers expressed levels of ethical acceptability for physical illness research and mental illness research as acceptable and similar, while physically ill volunteers expressed greater ethical acceptability for physical illness research than for mental illness research. Mentally ill, physically ill, and healthy participants expressed neutral to favorable perspectives regarding the ethical acceptability of clinical research participation by potentially vulnerable subpopulations (difference in acceptability perceived by mentally ill - healthy=−0.04, CI [−0.46, 0.39]; physically ill – healthy= −0.13, CI [−0.62, −.36]). Conclusions Clinical research volunteers and healthy clinical research-“naive” individuals view studies involving ill people as ethically acceptable, and their responses reflect concern regarding research that poses considerable burdens and risks and research involving vulnerable subpopulations. Physically ill research volunteers may be more willing to see burdensome and risky research as acceptable. Mentally ill research volunteers and healthy individuals expressed similar perspectives in this study, helping to dispel a misconception that those with mental illness should be presumed to hold disparate views. PMID:24931849

Trial Promoter: A Web-Based Tool for Boosting the Promotion of Clinical Research Through Social Media.

PubMed

Reuter, Katja; Ukpolo, Francis; Ward, Edward; Wilson, Melissa L; Angyan, Praveen

2016-06-29

Scarce information about clinical research, in particular clinical trials, is among the top reasons why potential participants do not take part in clinical studies. Without volunteers, on the other hand, clinical research and the development of novel approaches to preventing, diagnosing, and treating disease are impossible. Promising digital options such as social media have the potential to work alongside traditional methods to boost the promotion of clinical research. However, investigators and research institutions are challenged to leverage these innovations while saving time and resources. To develop and test the efficiency of a Web-based tool that automates the generation and distribution of user-friendly social media messages about clinical trials. Trial Promoter is developed in Ruby on Rails, HTML, cascading style sheet (CSS), and JavaScript. In order to test the tool and the correctness of the generated messages, clinical trials (n=46) were randomized into social media messages and distributed via the microblogging social media platform Twitter and the social network Facebook. The percent correct was calculated to determine the probability with which Trial Promoter generates accurate messages. During a 10-week testing phase, Trial Promoter automatically generated and published 525 user-friendly social media messages on Twitter and Facebook. On average, Trial Promoter correctly used the message templates and substituted the message parameters (text, URLs, and disease hashtags) 97.7% of the time (1563/1600). Trial Promoter may serve as a promising tool to render clinical trial promotion more efficient while requiring limited resources. It supports the distribution of any research or other types of content. The Trial Promoter code and installation instructions are freely available online.

Dependence and caring in clinical communication: The relevance of attachment and other theories

PubMed Central

Salmon, Peter; Young, Bridget

2009-01-01

Objective Clinical relationships are usually asymmetric, being defined by patients’ dependence and practitioners’ care. Our aims are to: (i) identify literature that can contribute to theory for researching and teaching clinical communication from this perspective; (ii) highlight where theoretical development is needed; and (iii) test the utility of the emerging theory by identifying whether it leads to implications for educational practice. Methods Selective and critical review of research concerned with dependence and caring in clinical and non-clinical relationships. Results Attachment theory helps to understand patients’ need to seek safety in relationships with expert and authoritative practitioners but is of limited help in understanding practitioners’ caring. Different theories that formulate practitioners’ care as altruistic, rewarded by personal connection or as a contract indicate the potential importance of practitioners’ emotions, values and sense of role in understanding their clinical communication. Conclusion Extending the theoretical grounding of clinical communication can accommodate patients’ dependence and practitioners’ caring without return to medical paternalism. Practice implications A broader theoretical base will help educators to address the inherent subjectivity of clinical relationships, and researchers to distinguish scientific questions about how patients and clinicians are from normative questions about how they should be. PMID:19157761

Describing the implementation of an innovative intervention and evaluating its effectiveness in increasing research capacity of advanced clinical nurses: using the consolidated framework for implementation research.

PubMed

McKee, Gabrielle; Codd, Margaret; Dempsey, Orla; Gallagher, Paul; Comiskey, Catherine

2017-01-01

Despite advanced nursing roles having a research competency, participation in research is low. There are many barriers to participation in research and few interventions have been developed to address these. This paper aims to describe the implementation of an intervention to increase research participation in advanced clinical nursing roles and evaluate its effectiveness. The implementation of the intervention was carried out within one hospital site. The evaluation utilised a mixed methods design and a implementation science framework. All staff in advanced nursing roles were invited to take part, all those who were interested and had a project in mind could volunteer to participate in the intervention. The intervention consisted of the development of small research groups working on projects developed by the nurse participant/s and supported by an academic and a research fellow. The main evaluation was through focus groups. Output was analysed using thematic analysis. In addition, a survey questionnaire was circulated to all participants to ascertain their self-reported research skills before and after the intervention. The results of the survey were analysed using descriptive statistics. Finally an inventory of research outputs was collated. In the first year, twelve new clinical nurse-led research projects were conducted and reported in six peer reviewed papers, two non-peer reviewed papers and 20 conference presentations. The main strengths of the intervention were its promptness to complete research, to publish and to showcase clinical innovations. Main barriers identified were time, appropriate support from academics and from peers. The majority of participants had increased experience at scientific writing and data analysis. This study shows that an intervention, with minor financial resources; a top down approach; support of a hands on research fellow; peer collaboration with academics; strong clinical ownership by the clinical nurse researcher; experiential learning opportunities; focused and with needs based educational sessions, is an intervention that can both increase research outputs and capacity of clinically based nurses. Interventions to further enhance nursing research and their evaluation are crucial if we are to address the deficit of nurse-led patient-centred research in the literature.

Effects of method and format on subjects' responses to a control of variables reasoning problem

NASA Astrophysics Data System (ADS)

Staver, John R.

Excessive time and training demands have rendered Piaget's clinical method of reasoning assessment impractical for researchers and science teachers who work with large numbers of students. The published literature[Note ][See: Lawson, A. E. Journal of Research in Science Teaching, 1978, 15(1), 11-24; Shayer, M., Adey, P., & Wylam, H. Journal of Research in Science Teaching, 1981, 18(2), 157-168; Staver, J. R., & Gabel, D. L. Journal of Research in Science Teaching, 1979, 16(6), 534-544; Tobin, K. G., & Capie, W. Educational and Psychological Measurement, 1981, 41(2), 413-424.] indicates that reliable, valid alternatives to clinical assessment are feasible. However, the overestimate/underestimate of reasoning for different methods and formats remains unresolved through research. The objective of this study was to determine the effects of various methods and formats on subjects' responses to a Piagetian reasoning problem requiring control of variables. The task chosen for this investigation was the Mealworm problem.[Note ][See: Karplus, R., Lawson, A., Wollman, W., Appel, M., Bernoff, R., Howe, A., Rusch, J., & Sullivan, F. Science teaching and the development of reasoning. Berkeley, CA: University of California, 1977.] The task was presented by three methods: (1) individual clinical interview; (2) group presentation of task followed by paper-and-pencil problem with illustration; and (3) group administration of paper-and-pencil instrument with illustration. Each method included four formats: (1) completion answer with essay justification; (2) completion answer with multiplechoice justification; (3) multiple-choice answer with essay justification; and (4) multiple-choice answer with multiple-choice justification. Two hundred and fifty-three (253) students who were enrolled in a freshman level biological science class participated in the study. The research design was a 3 × 4 factorial design with method and format of assessment as the main effects. The participants were in 12 randomly selected laboratory or discussion sections, and each section was randomly assigned to a cell in the research design. Regression analysis with the individual as the unit of analysis showed that format but not method of assessment accounted for a significant amount of variance in student performance. The overall interaction was nonsignificant. Regression analysis with sections as the unit of analysis revealed nonsignificant findings for both method and format. The interrater agreement in the scoring of the Mealworm task was 82.1%. The principal conclusion is that format but not method of task administration influenced the performance of subjects, and the influence is similar for various combinations of method and format. Discussion is focused on the relative importance of the nonsignificant and significant findings for using alternative methods of Piagetian assessment. The results are also discussed with respect to earlier work, and suggestions for future research as well as implications for teachers are set forth.

Transparency and public involvement in animal research.

PubMed

Pound, Pandora; Blaug, Ricardo

2016-05-01

To be legitimate, research needs to be ethical, methodologically sound, of sufficient value to justify public expenditure and be transparent. Animal research has always been contested on ethical grounds, but there is now mounting evidence of poor scientific method, and growing doubts about its clinical value. So what of transparency? Here we examine the increasing focus on openness within animal research in the UK, analysing recent developments within the Home Office and within the main group representing the interests of the sector, Understanding Animal Research. We argue that, while important steps are being taken toward greater transparency, the legitimacy of animal research continues to be undermined by selective openness. We propose that openness could be increased through public involvement, and that this would bring about much needed improvements in animal research, as it has done in clinical research. 2016 FRAME.

Optimizing Clinical Trial Enrollment Methods Through "Goal Programming"

PubMed Central

Davis, J.M.; Sandgren, A.J.; Manley, A.R.; Daleo, M.A.; Smith, S.S.

2014-01-01

Introduction Clinical trials often fail to reach desired goals due to poor recruitment outcomes, including low participant turnout, high recruitment cost, or poor representation of minorities. At present, there is limited literature available to guide recruitment methodology. This study, conducted by researchers at the University of Wisconsin Center for Tobacco Research and Intervention (UW-CTRI), provides an example of how iterative analysis of recruitment data may be used to optimize recruitment outcomes during ongoing recruitment. Study methodology UW-CTRI’s research team provided a description of methods used to recruit smokers in two randomized trials (n = 196 and n = 175). The trials targeted low socioeconomic status (SES) smokers and involved time-intensive smoking cessation interventions. Primary recruitment goals were to meet required sample size and provide representative diversity while working with limited funds and limited time. Recruitment data was analyzed repeatedly throughout each study to optimize recruitment outcomes. Results Estimates of recruitment outcomes based on prior studies on smoking cessation suggested that researchers would be able to recruit 240 low SES smokers within 30 months at a cost of $72,000. With employment of methods described herein, researchers were able to recruit 374 low SES smokers over 30 months at a cost of $36,260. Discussion Each human subjects study presents unique recruitment challenges with time and cost of recruitment dependent on the sample population and study methodology. Nonetheless, researchers may be able to improve recruitment outcomes though iterative analysis of recruitment data and optimization of recruitment methods throughout the recruitment period. PMID:25642125

Building the informatics infrastructure for comparative effectiveness research (CER): a review of the literature.

PubMed

Lopez, Marianne Hamilton; Holve, Erin; Sarkar, Indra Neil; Segal, Courtney

2012-07-01

Technological advances in clinical informatics have made large amounts of data accessible and potentially useful for research. As a result, a burgeoning literature addresses efforts to bridge the fields of health services research and biomedical informatics. The Electronic Data Methods Forum review examines peer-reviewed literature at the intersection of comparative effectiveness research and clinical informatics. The authors are specifically interested in characterizing this literature and identifying cross-cutting themes and gaps in the literature. A 3-step systematic literature search was conducted, including a structured search of PubMed, manual reviews of articles from selected publication lists, and manual reviews of research activities based on prospective electronic clinical data. Two thousand four hundred thirty-five citations were identified as potentially relevant. Ultimately, a full-text review was performed for 147 peer-reviewed papers. One hundred thirty-two articles were selected for inclusion in the review. Of these, 88 articles are the focus of the discussion in this paper. Three types of articles were identified, including papers that: (1) provide historical context or frameworks for using clinical informatics for research, (2) describe platforms and projects, and (3) discuss issues, challenges, and applications of natural language processing. In addition, 2 cross-cutting themes emerged: the challenges of conducting research in the absence of standardized ontologies and data collection; and unique data governance concerns related to the transfer, storage, deidentification, and access to electronic clinical data. Finally, the authors identified several current gaps on important topics such as the use of clinical informatics for cohort identification, cloud computing, and single point access to research data.

Clinical Natural Language Processing in languages other than English: opportunities and challenges.

PubMed

Névéol, Aurélie; Dalianis, Hercules; Velupillai, Sumithra; Savova, Guergana; Zweigenbaum, Pierre

2018-03-30

Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area. We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in other languages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and (3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLP techniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other than English. We classify these studies into three groups: (i) studies describing the development of new NLP systems or components de novo, (ii) studies describing the adaptation of NLP architectures developed for English to another language, and (iii) studies focusing on a particular clinical application. We show the advantages and drawbacks of each method, and highlight the appropriate application context. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.

Enablers and challenges to occupational therapists’ research engagement: A qualitative study

PubMed Central

Di Bona, Laura; Wenborn, Jennifer; Field, Becky; Hynes, Sinéad M; Ledgerd, Ritchard; Mountain, Gail; Swinson, Tom

2017-01-01

Introduction To develop occupational therapy’s evidence base and improve its clinical outcomes, occupational therapists must increase their research involvement. Barriers to research consumption and leadership are well documented, but those relating to delivering research interventions, less so. Yet, interventions need to be researched within practice to demonstrate their clinical effectiveness. This study aims to improve understanding of challenges and enablers experienced by occupational therapists who deliver interventions within research programmes. Method Twenty-eight occupational therapists who participated in the Valuing Active Life in Dementia (VALID) research programme reported their experiences in five focus groups. Data were analysed thematically to identify key and subthemes. Results Occupational therapists reported that overwhelming paperwork, use of videos, recruitment and introducing a new intervention challenged their research involvement, whereas support, protected time and a positive attitude enabled it. The impact of these challenges and enablers varied between therapists and organisations. Conclusion Challenges and enablers to research involvement can be identified but must be addressed within individual and organisational contexts. Multifaceted collective action to minimise challenges and maximise enablers can facilitate clinicians’ involvement in research. Using this approach should enable occupational therapists to increase their research involvement, thus demonstrating the clinical effectiveness of their interventions. PMID:29170592