A framework for assessing Health Economic Evaluation (HEE) quality appraisal instruments.
Langer, Astrid
2012-08-16
Health economic evaluations support the health care decision-making process by providing information on costs and consequences of health interventions. The quality of such studies is assessed by health economic evaluation (HEE) quality appraisal instruments. At present, there is no instrument for measuring and improving the quality of such HEE quality appraisal instruments. Therefore, the objectives of this study are to establish a framework for assessing the quality of HEE quality appraisal instruments to support and improve their quality, and to apply this framework to those HEE quality appraisal instruments which have been subject to more scrutiny than others, in order to test the framework and to demonstrate the shortcomings of existing HEE quality appraisal instruments. To develop the quality assessment framework for HEE quality appraisal instruments, the experiences of using appraisal tools for clinical guidelines are used. Based on a deductive iterative process, clinical guideline appraisal instruments identified through literature search are reviewed, consolidated, and adapted to produce the final quality assessment framework for HEE quality appraisal instruments. The final quality assessment framework for HEE quality appraisal instruments consists of 36 items organized within 7 dimensions, each of which captures a specific domain of quality. Applying the quality assessment framework to four existing HEE quality appraisal instruments, it is found that these four quality appraisal instruments are of variable quality. The framework described in this study should be regarded as a starting point for appraising the quality of HEE quality appraisal instruments. This framework can be used by HEE quality appraisal instrument producers to support and improve the quality and acceptance of existing and future HEE quality appraisal instruments. By applying this framework, users of HEE quality appraisal instruments can become aware of methodological deficiencies inherent in existing HEE quality appraisal instruments. These shortcomings of existing HEE quality appraisal instruments are illustrated by the pilot test.
A framework for assessing Health Economic Evaluation (HEE) quality appraisal instruments
2012-01-01
Background Health economic evaluations support the health care decision-making process by providing information on costs and consequences of health interventions. The quality of such studies is assessed by health economic evaluation (HEE) quality appraisal instruments. At present, there is no instrument for measuring and improving the quality of such HEE quality appraisal instruments. Therefore, the objectives of this study are to establish a framework for assessing the quality of HEE quality appraisal instruments to support and improve their quality, and to apply this framework to those HEE quality appraisal instruments which have been subject to more scrutiny than others, in order to test the framework and to demonstrate the shortcomings of existing HEE quality appraisal instruments. Methods To develop the quality assessment framework for HEE quality appraisal instruments, the experiences of using appraisal tools for clinical guidelines are used. Based on a deductive iterative process, clinical guideline appraisal instruments identified through literature search are reviewed, consolidated, and adapted to produce the final quality assessment framework for HEE quality appraisal instruments. Results The final quality assessment framework for HEE quality appraisal instruments consists of 36 items organized within 7 dimensions, each of which captures a specific domain of quality. Applying the quality assessment framework to four existing HEE quality appraisal instruments, it is found that these four quality appraisal instruments are of variable quality. Conclusions The framework described in this study should be regarded as a starting point for appraising the quality of HEE quality appraisal instruments. This framework can be used by HEE quality appraisal instrument producers to support and improve the quality and acceptance of existing and future HEE quality appraisal instruments. By applying this framework, users of HEE quality appraisal instruments can become aware of methodological deficiencies inherent in existing HEE quality appraisal instruments. These shortcomings of existing HEE quality appraisal instruments are illustrated by the pilot test. PMID:22894708
McMahon, Christiana; Denaxas, Spiros
2016-01-01
Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly. PMID:27570670
McMahon, Christiana; Denaxas, Spiros
2016-01-01
Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly.
E-Services quality assessment framework for collaborative networks
NASA Astrophysics Data System (ADS)
Stegaru, Georgiana; Danila, Cristian; Sacala, Ioan Stefan; Moisescu, Mihnea; Mihai Stanescu, Aurelian
2015-08-01
In a globalised networked economy, collaborative networks (CNs) are formed to take advantage of new business opportunities. Collaboration involves shared resources and capabilities, such as e-Services that can be dynamically composed to automate CN participants' business processes. Quality is essential for the success of business process automation. Current approaches mostly focus on quality of service (QoS)-based service selection and ranking algorithms, overlooking the process of service composition which requires interoperable, adaptable and secure e-Services to ensure seamless collaboration, data confidentiality and integrity. Lack of assessment of these quality attributes can result in e-Service composition failure. The quality of e-Service composition relies on the quality of each e-Service and on the quality of the composition process. Therefore, there is the need for a framework that addresses quality from both views: product and process. We propose a quality of e-Service composition (QoESC) framework for quality assessment of e-Service composition for CNs which comprises of a quality model for e-Service evaluation and guidelines for quality of e-Service composition process. We implemented a prototype considering a simplified telemedicine use case which involves a CN in e-Healthcare domain. To validate the proposed quality-driven framework, we analysed service composition reliability with and without using the proposed framework.
Assessing Quality of Data Standards: Framework and Illustration Using XBRL GAAP Taxonomy
NASA Astrophysics Data System (ADS)
Zhu, Hongwei; Wu, Harris
The primary purpose of data standards or metadata schemas is to improve the interoperability of data created by multiple standard users. Given the high cost of developing data standards, it is desirable to assess the quality of data standards. We develop a set of metrics and a framework for assessing data standard quality. The metrics include completeness and relevancy. Standard quality can also be indirectly measured by assessing interoperability of data instances. We evaluate the framework using data from the financial sector: the XBRL (eXtensible Business Reporting Language) GAAP (Generally Accepted Accounting Principles) taxonomy and US Securities and Exchange Commission (SEC) filings produced using the taxonomy by approximately 500 companies. The results show that the framework is useful and effective. Our analysis also reveals quality issues of the GAAP taxonomy and provides useful feedback to taxonomy users. The SEC has mandated that all publicly listed companies must submit their filings using XBRL. Our findings are timely and have practical implications that will ultimately help improve the quality of financial data.
A Transparent and Transferable Framework for Tracking Quality Information in Large Datasets
Smith, Derek E.; Metzger, Stefan; Taylor, Jeffrey R.
2014-01-01
The ability to evaluate the validity of data is essential to any investigation, and manual “eyes on” assessments of data quality have dominated in the past. Yet, as the size of collected data continues to increase, so does the effort required to assess their quality. This challenge is of particular concern for networks that automate their data collection, and has resulted in the automation of many quality assurance and quality control analyses. Unfortunately, the interpretation of the resulting data quality flags can become quite challenging with large data sets. We have developed a framework to summarize data quality information and facilitate interpretation by the user. Our framework consists of first compiling data quality information and then presenting it through 2 separate mechanisms; a quality report and a quality summary. The quality report presents the results of specific quality analyses as they relate to individual observations, while the quality summary takes a spatial or temporal aggregate of each quality analysis and provides a summary of the results. Included in the quality summary is a final quality flag, which further condenses data quality information to assess whether a data product is valid or not. This framework has the added flexibility to allow “eyes on” information on data quality to be incorporated for many data types. Furthermore, this framework can aid problem tracking and resolution, should sensor or system malfunctions arise. PMID:25379884
Incorporating Contaminant Bioavailability into Sediment Quality Assessment Frameworks
The recently adopted sediment quality assessment framework for evaluating bay and estuarine sediments in the State of California incorporates bulk sediment chemistry as a key line of evidence(LOE) but does not address the bioavailability of measured contaminants. Thus, the chemis...
A Risk-based Assessment And Management Framework For Multipollutant Air Quality
Frey, H. Christopher; Hubbell, Bryan
2010-01-01
The National Research Council recommended both a risk- and performance-based multipollutant approach to air quality management. Specifically, management decisions should be based on minimizing the exposure to, and risk of adverse effects from, multiple sources of air pollution and that the success of these decisions should be measured by how well they achieved this objective. We briefly describe risk analysis and its application within the current approach to air quality management. Recommendations are made as to how current practice could evolve to support a fully risk- and performance-based multipollutant air quality management system. The ability to implement a risk assessment framework in a credible and policy-relevant manner depends on the availability of component models and data which are scientifically sound and developed with an understanding of their application in integrated assessments. The same can be said about accountability assessments used to evaluate the outcomes of decisions made using such frameworks. The existing risk analysis framework, although typically applied to individual pollutants, is conceptually well suited for analyzing multipollutant management actions. Many elements of this framework, such as emissions and air quality modeling, already exist with multipollutant characteristics. However, the framework needs to be supported with information on exposure and concentration response relationships that result from multipollutant health studies. Because the causal chain that links management actions to emission reductions, air quality improvements, exposure reductions and health outcomes is parallel between prospective risk analyses and retrospective accountability assessments, both types of assessment should be placed within a single framework with common metrics and indicators where possible. Improvements in risk reductions can be obtained by adopting a multipollutant risk analysis framework within the current air quality management system, e.g. focused on standards for individual pollutants and with separate goals for air toxics and ambient pollutants. However, additional improvements may be possible if goals and actions are defined in terms of risk metrics that are comparable across criteria pollutants and air toxics (hazardous air pollutants), and that encompass both human health and ecological risks. PMID:21209847
Measuring patient-perceived hospital service quality: a conceptual framework.
Pai, Yogesh P; Chary, Satyanarayana T
2016-04-18
Purpose - Although measuring healthcare service quality is not a new phenomenon, the instruments used to measure are timeworn. With the shift in focus to patient centric processes in hospitals and recognizing healthcare to be different compared to other services, service quality measurement needs to be tuned specifically to healthcare. The purpose of this paper is to design a conceptual framework for measuring patient perceived hospital service quality (HSQ), based on existing service quality literature. Design/methodology/approach - Using HSQ theories, expanding existing healthcare service models and literature, a conceptual framework is proposed to measure HSQ. The paper outlines patient perceived service quality dimensions. Findings - An instrument for measuring HSQ dimensions is developed and compared with other service quality measuring instruments. The latest dimensions are in line with previous studies, but a relationship dimension is added. Practical implications - The framework empowers managers to assess healthcare quality in corporate, public and teaching hospitals. Originality/value - The paper helps academics and practitioners to assess HSQ from a patient perspective.
Water Quality Assessment and Management
Overview of Clean Water Act (CWA) restoration framework including; water quality standards, monitoring/assessment, reporting water quality status, TMDL development, TMDL implementation (point & nonpoint source control)
ERIC Educational Resources Information Center
Clerehan, Rosemary; Buchbinder, Rachelle; Moodie, Jane
2005-01-01
Patient information leaflets are an important adjunct to verbal exchange between doctor and patient. Their value is dependent upon whether they contain useful information from the viewpoint of the patient and are easily understood. We developed a framework based upon linguistic theory for assessing the quality of written patient information and…
A Quality Framework for Continuous Improvement of e-Learning: The e-Learning Maturity Model
ERIC Educational Resources Information Center
Marshall, Stephen
2010-01-01
The E-Learning Maturity Model (eMM) is a quality improvement framework designed to help institutional leaders assess their institution's e-learning maturity. This paper reviews the eMM, drawing on examples of assessments conducted in New Zealand, Australia, the UK and the USA to show how it helps institutional leaders assess and compare their…
A flexible framework has been created for modeling multi-dimensional hydrological and water quality processes within stormwater green infrastructures (GIs). The framework models a GI system using a set of blocks (spatial features) and connectors (interfaces) representing differen...
Assessing Higher-Order Cognitive Constructs by Using an Information-Processing Framework
ERIC Educational Resources Information Center
Dickison, Philip; Luo, Xiao; Kim, Doyoung; Woo, Ada; Muntean, William; Bergstrom, Betty
2016-01-01
Designing a theory-based assessment with sound psychometric qualities to measure a higher-order cognitive construct is a highly desired yet challenging task for many practitioners. This paper proposes a framework for designing a theory-based assessment to measure a higher-order cognitive construct. This framework results in a modularized yet…
A conceptual framework for quality assessment and management of biodiversity data.
Veiga, Allan Koch; Saraiva, Antonio Mauro; Chapman, Arthur David; Morris, Paul John; Gendreau, Christian; Schigel, Dmitry; Robertson, Tim James
2017-01-01
The increasing availability of digitized biodiversity data worldwide, provided by an increasing number of institutions and researchers, and the growing use of those data for a variety of purposes have raised concerns related to the "fitness for use" of such data and the impact of data quality (DQ) on the outcomes of analyses, reports, and decisions. A consistent approach to assess and manage data quality is currently critical for biodiversity data users. However, achieving this goal has been particularly challenging because of idiosyncrasies inherent in the concept of quality. DQ assessment and management cannot be performed if we have not clearly established the quality needs from a data user's standpoint. This paper defines a formal conceptual framework to support the biodiversity informatics community allowing for the description of the meaning of "fitness for use" from a data user's perspective in a common and standardized manner. This proposed framework defines nine concepts organized into three classes: DQ Needs, DQ Solutions and DQ Report. The framework is intended to formalize human thinking into well-defined components to make it possible to share and reuse concepts of DQ needs, solutions and reports in a common way among user communities. With this framework, we establish a common ground for the collaborative development of solutions for DQ assessment and management based on data fitness for use principles. To validate the framework, we present a proof of concept based on a case study at the Museum of Comparative Zoology of Harvard University. In future work, we will use the framework to engage the biodiversity informatics community to formalize and share DQ profiles related to DQ needs across the community.
A conceptual framework for quality assessment and management of biodiversity data
Saraiva, Antonio Mauro; Chapman, Arthur David; Morris, Paul John; Gendreau, Christian; Schigel, Dmitry; Robertson, Tim James
2017-01-01
The increasing availability of digitized biodiversity data worldwide, provided by an increasing number of institutions and researchers, and the growing use of those data for a variety of purposes have raised concerns related to the "fitness for use" of such data and the impact of data quality (DQ) on the outcomes of analyses, reports, and decisions. A consistent approach to assess and manage data quality is currently critical for biodiversity data users. However, achieving this goal has been particularly challenging because of idiosyncrasies inherent in the concept of quality. DQ assessment and management cannot be performed if we have not clearly established the quality needs from a data user’s standpoint. This paper defines a formal conceptual framework to support the biodiversity informatics community allowing for the description of the meaning of "fitness for use" from a data user’s perspective in a common and standardized manner. This proposed framework defines nine concepts organized into three classes: DQ Needs, DQ Solutions and DQ Report. The framework is intended to formalize human thinking into well-defined components to make it possible to share and reuse concepts of DQ needs, solutions and reports in a common way among user communities. With this framework, we establish a common ground for the collaborative development of solutions for DQ assessment and management based on data fitness for use principles. To validate the framework, we present a proof of concept based on a case study at the Museum of Comparative Zoology of Harvard University. In future work, we will use the framework to engage the biodiversity informatics community to formalize and share DQ profiles related to DQ needs across the community. PMID:28658288
ERIC Educational Resources Information Center
DiRanna, Kathy; Osmundson, Ellen; Topps, Jo; Gearhart, Maryl
2008-01-01
In this article, the authors describe an assessment-centered teaching (ACT) framework they developed to communicate the integration of assessment and instruction. The framework is a visual representation of the relationships among the fundamental elements of assessment knowledge: the characteristics of quality goals for student learning and…
Patient-perceived hospital service quality: an empirical assessment.
Pai, Yogesh P; Chary, Satyanarayana T; Pai, Rashmi Yogesh
2018-02-12
Purpose The purpose of this paper is to appraise Pai and Chary's (2016) conceptual framework for measuring patient-perceived hospital service quality (HSQ). Design/methodology/approach A structured questionnaire was used to obtain data from teaching, public and corporate hospital patients. Several tests were conducted to assess the instrument's reliability and validity. Pai and Chary's (2016) nine dimensions for measuring HSQ were examined in this paper. Findings The tests confirm that Pai and Chary's (2016) conceptual framework is reliable and valid. The study also establishes that the nine dimensions measure HSQ. Practical implications The framework empowers managers to assess service quality in any hospital settings, corporate, public and teaching, using an approach that is superior to the existing HSQ scales. Originality/value This paper helps researchers and practitioners to assess HSQ from patient perspectives in any hospital setting.
Maximising Confidence in Assessment Decision-Making: A Springboard to Quality in Assessment.
ERIC Educational Resources Information Center
Clayton, Berwyn; Booth, Robin; Roy, Sue
The introduction of training packages has focused attention on the quality of assessment in the Australian vocational education and training (VET) sector on the quality of assessment. For the process of mutual recognition under the Australian Recognition Framework (ARF) to work effectively, there needs to be confidence in assessment decisions made…
Framework for an Effective Assessment and Accountability Program: The Philadelphia Example
ERIC Educational Resources Information Center
Porter, Andrew C.; Chester, Mitchell D.; Schlesinger, Michael D.
2004-01-01
The purpose of this article is to put in the hands of researchers, practitioners, and policy makers a powerful framework for building and studying the effects of high-quality assessment and accountability programs. The framework is illustrated through a description and analysis of the assessment and accountability program in the School District of…
2011-01-01
Background A framework for high quality in post graduate training has been defined by the World Federation of Medical Education (WFME). The objective of this paper is to perform a systematic review of reviews to find current evidence regarding aspects of quality of post graduate training and to organise the results following the 9 areas of the WFME framework. Methods The systematic literature review was conducted in 2009 in Medline Ovid, EMBASE, ERIC and RDRB databases from 1995 onward. The reviews were selected by two independent researchers and a quality appraisal was based on the SIGN tool. Results 31 reviews met inclusion criteria. The majority of the reviews provided information about the training process (WFME area 2), the assessment of trainees (WFME area 3) and the trainees (WFME area 4). One review covered the area 8 'governance and administration'. No review was found in relation to the mission and outcomes, the evaluation of the training process and the continuous renewal (respectively areas 1, 7 and 9 of the WFME framework). Conclusions The majority of the reviews provided information about the training process, the assessment of trainees and the trainees. Indicators used for quality assessment purposes of post graduate training should be based on this evidence but further research is needed for some areas in particular to assess the quality of the training process. PMID:21977898
Holguin-Gonzalez, Javier E; Boets, Pieter; Everaert, Gert; Pauwels, Ine S; Lock, Koen; Gobeyn, Sacha; Benedetti, Lorenzo; Amerlinck, Youri; Nopens, Ingmar; Goethals, Peter L M
2014-01-01
Worldwide, large investments in wastewater treatment are made to improve water quality. However, the impacts of these investments on river water quality are often not quantified. To assess water quality, the European Water Framework Directive (WFD) requires an integrated approach. The aim of this study was to develop an integrated ecological modelling framework for the River Drava (Croatia) that includes physical-chemical and hydromorphological characteristics as well as the ecological river water quality status. The developed submodels and the integrated model showed accurate predictions when comparing the modelled results to the observations. Dissolved oxygen and nitrogen concentrations (ammonium and organic nitrogen) were the most important variables in determining the ecological water quality (EWQ). The result of three potential investment scenarios of the wastewater treatment infrastructure in the city of Varaždin on the EWQ of the River Drava was assessed. From this scenario-based analysis, it was concluded that upgrading the existing wastewater treatment plant with nitrogen and phosphorus removal will be insufficient to reach a good EWQ. Therefore, other point and diffuse pollution sources in the area should also be monitored and remediated to meet the European WFD standards.
Huang, Yunyu; Voorham, Jaco; Haaijer-Ruskamp, Flora M
2016-07-01
Details of data quality and how quality issues were solved have not been reported in published comparative effectiveness studies using electronic health record data. We developed a conceptual framework of data quality assessment and preprocessing and apply it to a study comparing angiotensin-converting enzyme inhibitors with angiotensin receptor blockerss on renal function decline in diabetes patients. The framework establishes a line of thought to identify and act on data issues. The core concept is to evaluate whether data are fit-for-use for research tasks. Possible quality problems are listed through specific signal detections, and verified whether they are true problems. Optimal solutions are selected for the identified problems. This framework can be used in observational studies to improve validity of results.
Framework and tools for agricultural landscape assessment relating to water quality protection.
Gascuel-Odoux, Chantal; Massa, Florence; Durand, Patrick; Merot, Philippe; Troccaz, Olivier; Baudry, Jacques; Thenail, Claudine
2009-05-01
While many scientific studies show the influence of agricultural landscape patterns on water cycle and water quality, only a few of these have proposed scientifically based and operational methods to improve water management. Territ'eau is a framework developed to adapt agricultural landscapes to water quality protection, using components such as farmers' fields, seminatural areas, and human infrastructures, which can act as sources, sinks, or buffers on water quality. This framework allows us to delimit active areas contributing to water quality, defined by the following three characteristics: (i) the dominant hydrological processes and their flow pathways, (ii) the characteristics of each considered pollutant, and (iii) the main landscape features. These areas are delineated by analyzing the flow connectivity from the stream to the croplands, by assessing the buffer functions of seminatural areas according to their flow pathways. Hence, this framework allows us to identify functional seminatural areas in terms of water quality and assess their limits and functions; it helps in proposing different approaches for changing agricultural landscape, acting on agricultural practices or systems, and/or conserving or rebuilding seminatural areas in controversial landscapes. Finally, it allows us to objectivize the functions of the landscape components, for adapting these components to new environmental constraints.
Assessing the Ethical and Content Quality of Online Parenting Resources
ERIC Educational Resources Information Center
Suárez-Perdomo, Arminda; Byrne, Sonia; Rodrigo, Maria-José
2018-01-01
The quality of the online resources for parents offering access to open knowledge has hardly received attention despite their increasing number. This paper provides a framework to examine the ethical and content quality of parenting resources. The ethical criteria were based on "the Health on the Net" (HON) framework whereas the content…
Ontario's Quality Assurance Framework: A Critical Response
ERIC Educational Resources Information Center
Heap, James
2013-01-01
Ontario's Quality Assurance Framework (QAF) is reviewed and found not to meet all five criteria proposed for a strong quality assurance system focused on student learning. The QAF requires a statement of student learning outcomes and a method and means of assessing those outcomes, but it does not require that data on achievement of intended…
Educational Quality, Outcomes Assessment, and Policy Change: The Virginia Example
ERIC Educational Resources Information Center
Culver, Steve
2010-01-01
The higher education system in the Commonwealth of Virginia in the United States provides a case model for how discussions regarding educational quality and assessment of that quality have affected institutions' policy decisions and implementation. Using Levin's (1998) policy analysis framework, this essay explores how assessment of student…
ERIC Educational Resources Information Center
Danielsen, Solveig; Boa, Eric; Mafabi, Moses; Mutebi, Emmanuel; Reeder, Robert; Kabeere, Flavia; Karyeija, Robert
2013-01-01
Purpose: This study developed a framework for quality assessment of diagnoses and advice given at plant clinics. Design/methodology/approach: Clinic registers from five plant clinics in Uganda (2006-2010) were used to develop quality assessment protocols for diagnoses and advice given by plant doctors. Assessment of quality of diagnoses was based…
A new framework for interactive quality assessment with application to light field coding
NASA Astrophysics Data System (ADS)
Viola, Irene; Ebrahimi, Touradj
2017-09-01
In recent years, light field has experienced a surge of popularity, mainly due to the recent advances in acquisition and rendering technologies that have made it more accessible to the public. Thanks to image-based rendering techniques, light field contents can be rendered in real time on common 2D screens, allowing virtual navigation through the captured scenes in an interactive fashion. However, this richer representation of the scene poses the problem of reliable quality assessments for light field contents. In particular, while subjective methodologies that enable interaction have already been proposed, no work has been done on assessing how users interact with light field contents. In this paper, we propose a new framework to subjectively assess the quality of light field contents in an interactive manner and simultaneously track users behaviour. The framework is successfully used to perform subjective assessment of two coding solutions. Moreover, statistical analysis performed on the results shows interesting correlation between subjective scores and average interaction time.
NASA Astrophysics Data System (ADS)
Kostyuchenko, Yuriy V.; Sztoyka, Yulia; Kopachevsky, Ivan; Artemenko, Igor; Yuschenko, Maxim
2017-10-01
Multi-model approach for remote sensing data processing and interpretation is described. The problem of satellite data utilization in multi-modeling approach for socio-ecological risks assessment is formally defined. Observation, measurement and modeling data utilization method in the framework of multi-model approach is described. Methodology and models of risk assessment in framework of decision support approach are defined and described. Method of water quality assessment using satellite observation data is described. Method is based on analysis of spectral reflectance of aquifers. Spectral signatures of freshwater bodies and offshores are analyzed. Correlations between spectral reflectance, pollutions and selected water quality parameters are analyzed and quantified. Data of MODIS, MISR, AIRS and Landsat sensors received in 2002-2014 have been utilized verified by in-field spectrometry and lab measurements. Fuzzy logic based approach for decision support in field of water quality degradation risk is discussed. Decision on water quality category is making based on fuzzy algorithm using limited set of uncertain parameters. Data from satellite observations, field measurements and modeling is utilizing in the framework of the approach proposed. It is shown that this algorithm allows estimate water quality degradation rate and pollution risks. Problems of construction of spatial and temporal distribution of calculated parameters, as well as a problem of data regularization are discussed. Using proposed approach, maps of surface water pollution risk from point and diffuse sources are calculated and discussed.
DESCQA: Synthetic Sky Catalog Validation Framework
NASA Astrophysics Data System (ADS)
Mao, Yao-Yuan; Uram, Thomas D.; Zhou, Rongpu; Kovacs, Eve; Ricker, Paul M.; Kalmbach, J. Bryce; Padilla, Nelson; Lanusse, François; Zu, Ying; Tenneti, Ananth; Vikraman, Vinu; DeRose, Joseph
2018-04-01
The DESCQA framework provides rigorous validation protocols for assessing the quality of high-quality simulated sky catalogs in a straightforward and comprehensive way. DESCQA enables the inspection, validation, and comparison of an inhomogeneous set of synthetic catalogs via the provision of a common interface within an automated framework. An interactive web interface is also available at portal.nersc.gov/project/lsst/descqa.
USING SEDIMENT QUALITY GUIDELINES IN DREDGED MATERIAL ASSESSMENTS
Sediment quality guidelines (SQGs) are not formally included in the frameworks described in the Inland Testing manual and the Green Book because these frameworks are biologically based. The SQGs are often used informally, however, to help put the results of biological testing in ...
Sustainable Water Management & Satellite Remote Sensing
Eutrophication assessment frameworks such as the Australian National Water Quality Management Strategy, Oslo Paris (OSPAR) Commission Common Procedure, Water Framework Directive (WFD) of the European Union, Marine Strategy Framework Directive (MSFD) from the European Commission, ...
Evaluating the Quality of Competency Assessment in Pharmacy: A Framework for Workplace Learning.
Shah, Shailly; McLaughlin, Jacqueline E; Eckel, Stephen F; Mangun, Jesica; Hawes, Emily
2016-01-19
Demonstration of achieved competencies is critical in the pharmacy workplace. The purpose of this study was to evaluate the quality of the competency assessment program for pharmacy residents at an academic medical center. The competency assessment program (CAP) survey is a validated, 48-item instrument that evaluates the quality of an assessment program based on 12 criteria, each measured by four questions on a scale of 0 to 100. The CAP was completed by residents ( n = 23) and preceptors ( n = 28) from the pharmacy residency program between 2010 and 2013. Results were analyzed using descriptive statistics, Cronbach's alpha, and non-parametric tests. Educational Consequences was the only quality criteria falling below the standard for "good quality." Participants that completed residency training elsewhere rated the Comparability (0.04) and Meaningfulness (0.01) of the assessment program higher than those that completed residency at the academic medical center. There were no significant differences between resident and preceptor scores. Overall, the quality of the assessment program was rated highly by residents and preceptors. The process described here provides a useful framework for understanding the quality of workplace learning assessments in pharmacy practice.
IMPLEMENTING ACCOUNTABILITY WITHIN A MULTI-POLLUTANT AIR QUALITY MANAGEMENT FRAMEWORK
In 2004, the National Research Council (NRC) published a major assessment of air quality management practices: Air Quality Management in the United States. The assessment resulted from a Congressional directive that the U.S. Environmental Protection Agency commission the Nationa...
Quality Management Framework for Total Diet Study centres in Europe.
Pité, Marina; Pinchen, Hannah; Castanheira, Isabel; Oliveira, Luisa; Roe, Mark; Ruprich, Jiri; Rehurkova, Irena; Sirot, Veronique; Papadopoulos, Alexandra; Gunnlaugsdóttir, Helga; Reykdal, Ólafur; Lindtner, Oliver; Ritvanen, Tiina; Finglas, Paul
2018-02-01
A Quality Management Framework to improve quality and harmonization of Total Diet Study practices in Europe was developed within the TDS-Exposure Project. Seventeen processes were identified and hazards, Critical Control Points and associated preventive and corrective measures described. The Total Diet Study process was summarized in a flowchart divided into planning and practical (sample collection, preparation and analysis; risk assessment analysis and publication) phases. Standard Operating Procedures were developed and implemented in pilot studies in five organizations. The flowchart was used to develop a quality framework for Total Diet Studies that could be included in formal quality management systems. Pilot studies operated by four project partners were visited by project assessors who reviewed implementation of the proposed framework and identified areas that could be improved. The quality framework developed can be the starting point for any Total Diet Study centre and can be used within existing formal quality management approaches. Copyright © 2017 Elsevier Ltd. All rights reserved.
A new framework for designing programmes of assessment
Van der Vleuten, C. P. M.; Schuwirth, L. W. T.
2009-01-01
Research on assessment in medical education has strongly focused on individual measurement instruments and their psychometric quality. Without detracting from the value of this research, such an approach is not sufficient to high quality assessment of competence as a whole. A programmatic approach is advocated which presupposes criteria for designing comprehensive assessment programmes and for assuring their quality. The paucity of research with relevance to programmatic assessment, and especially its development, prompted us to embark on a research project to develop design principles for programmes of assessment. We conducted focus group interviews to explore the experiences and views of nine assessment experts concerning good practices and new ideas about theoretical and practical issues in programmes of assessment. The discussion was analysed, mapping all aspects relevant for design onto a framework, which was iteratively adjusted to fit the data until saturation was reached. The overarching framework for designing programmes of assessment consists of six assessment programme dimensions: Goals, Programme in Action, Support, Documenting, Improving and Accounting. The model described in this paper can help to frame programmes of assessment; it not only provides a common language, but also a comprehensive picture of the dimensions to be covered when formulating design principles. It helps identifying areas concerning assessment in which ample research and development has been done. But, more importantly, it also helps to detect underserved areas. A guiding principle in design of assessment programmes is fitness for purpose. High quality assessment can only be defined in terms of its goals. PMID:19821042
A new framework for designing programmes of assessment.
Dijkstra, J; Van der Vleuten, C P M; Schuwirth, L W T
2010-08-01
Research on assessment in medical education has strongly focused on individual measurement instruments and their psychometric quality. Without detracting from the value of this research, such an approach is not sufficient to high quality assessment of competence as a whole. A programmatic approach is advocated which presupposes criteria for designing comprehensive assessment programmes and for assuring their quality. The paucity of research with relevance to programmatic assessment, and especially its development, prompted us to embark on a research project to develop design principles for programmes of assessment. We conducted focus group interviews to explore the experiences and views of nine assessment experts concerning good practices and new ideas about theoretical and practical issues in programmes of assessment. The discussion was analysed, mapping all aspects relevant for design onto a framework, which was iteratively adjusted to fit the data until saturation was reached. The overarching framework for designing programmes of assessment consists of six assessment programme dimensions: Goals, Programme in Action, Support, Documenting, Improving and Accounting. The model described in this paper can help to frame programmes of assessment; it not only provides a common language, but also a comprehensive picture of the dimensions to be covered when formulating design principles. It helps identifying areas concerning assessment in which ample research and development has been done. But, more importantly, it also helps to detect underserved areas. A guiding principle in design of assessment programmes is fitness for purpose. High quality assessment can only be defined in terms of its goals.
Assessing Quality of Critical Thought in Online Discussion
ERIC Educational Resources Information Center
Weltzer-Ward, Lisa; Baltes, Beate; Lynn, Laura Knight
2009-01-01
Purpose: The purpose of this paper is to describe a theoretically based coding framework for an integrated analysis and assessment of critical thinking in online discussion. Design/methodology/approach: The critical thinking assessment framework (TAF) is developed through review of theory and previous research, verified by comparing results to…
ACSPRI 2014 4th International Social Science Methodology Conference Report
2015-04-01
Validity, trustworthiness and rigour: quality and the idea of qualitative research . Journal of Advanced Nursing, 304-310. Spencer, L., Ritchie, J...increasing data quality; the Total Survey Error framework; multi-modal on-line surveying, quality frameworks for assessing qualitative research ; and...provided an overview of the current perspectives on causal claims in qualitative research . Three approaches to generating plausible causal
Halbesleben, Jonathon R B; Whitman, Marilyn V
2013-01-01
Objective To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias. Study Design A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post-data collection techniques that researchers should consider. Principal Findings Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five-question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each. Conclusions It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates. PMID:23046097
van der Togt, Remko; Bakker, Piet J M; Jaspers, Monique W M
2011-04-01
RFID offers great opportunities to health care. Nevertheless, prior experiences also show that RFID systems have not been designed and tested in response to the particular needs of health care settings and might introduce new risks. The aim of this study is to present a framework that can be used to assess the performance of RFID systems particularly in health care settings. We developed a framework describing a systematic approach that can be used for assessing the feasibility of using an RFID technology in a particular healthcare setting; more specific for testing the impact of environmental factors on the quality of RFID generated data and vice versa. This framework is based on our own experiences with an RFID pilot implementation in an academic hospital in The Netherlands and a literature review concerning RFID test methods and current insights of RFID implementations in healthcare. The implementation of an RFID system within the blood transfusion chain inside a hospital setting was used as a show case to explain the different phases of the framework. The framework consists of nine phases, including an implementation development plan, RFID and medical equipment interference tests, data accuracy- and data completeness tests to be run in laboratory, simulated field and real field settings. The potential risks that RFID technologies may bring to the healthcare setting should be thoroughly evaluated before they are introduced into a vital environment. The RFID performance assessment framework that we present can act as a reference model to start an RFID development, engineering, implementation and testing plan and more specific, to assess the potential risks of interference and to test the quality of the RFID generated data potentially influenced by physical objects in specific health care environments. Copyright © 2010 Elsevier Inc. All rights reserved.
Effective integrated frameworks for assessing mining sustainability.
Virgone, K M; Ramirez-Andreotta, M; Mainhagu, J; Brusseau, M L
2018-05-28
The objectives of this research are to review existing methods used for assessing mining sustainability, analyze the limited prior research that has evaluated the methods, and identify key characteristics that would constitute an enhanced sustainability framework that would serve to improve sustainability reporting in the mining industry. Five of the most relevant frameworks were selected for comparison in this analysis, and the results show that there are many commonalities among the five, as well as some disparities. In addition, relevant components are missing from all five. An enhanced evaluation system and framework were created to provide a more holistic, comprehensive method for sustainability assessment and reporting. The proposed framework has five components that build from and encompass the twelve evaluation characteristics used in the analysis. The components include Foundation, Focus, Breadth, Quality Assurance, and Relevance. The enhanced framework promotes a comprehensive, location-specific reporting approach with a concise set of well-defined indicators. Built into the framework is quality assurance, as well as a defined method to use information from sustainability reports to inform decisions. The framework incorporates human health and socioeconomic aspects via initiatives such as community-engaged research, economic valuations, and community-initiated environmental monitoring.
Martínez-Gómez, Concepción; Fernández, Beatriz; Robinson, Craig D; Campillo, J Antonio; León, Víctor M; Benedicto, José; Hylland, Ketil; Vethaak, A Dick
2017-03-01
Cartagena coastal zone (W Mediterranean) was chosen for a practical case study to investigate the suitability of an integrated indicator framework for marine monitoring and assessment of chemicals and their effects, which was developed by ICES and OSPAR. Red mullet (Mullus barbatus) and the Mediterranean mussel (Mytilus galloprovincialis) were selected as target species. Concentrations of contaminants in sediment and biota, and contaminant-related biomarkers were analysed. To assess environmental quality in the Cartagena coastal zone with respect to chemical pollution, data were assessed using available assessment criteria, and then integrated for different environmental matrices. A qualitative scoring method was used to rank the overall assessments into selected categories and to evaluate the confidence level of the final integrated assessment. The ICES/OSPAR integrated assessment framework, originally designed for the North Atlantic, was found to be applicable for Mediterranean species and environmental matrices. Further development of assessment criteria of chemical and biological parameters in sediments and target species from the Mediterranean will, however, be required before this framework can be fully applied for determining Good Environmental Status (GES) of the Marine Strategy Framework Directive in these regions. Copyright © 2016 Elsevier Ltd. All rights reserved.
Evaluation of the causal framework used for setting national ambient air quality standards.
Goodman, Julie E; Prueitt, Robyn L; Sax, Sonja N; Bailey, Lisa A; Rhomberg, Lorenz R
2013-11-01
Abstract A scientifically sound assessment of the potential hazards associated with a substance requires a systematic, objective and transparent evaluation of the weight of evidence (WoE) for causality of health effects. We critically evaluated the current WoE framework for causal determination used in the United States Environmental Protection Agency's (EPA's) assessments of the scientific data on air pollutants for the National Ambient Air Quality Standards (NAAQS) review process, including its methods for literature searches; study selection, evaluation and integration; and causal judgments. The causal framework used in recent NAAQS evaluations has many valuable features, but it could be more explicit in some cases, and some features are missing that should be included in every WoE evaluation. Because of this, it has not always been applied consistently in evaluations of causality, leading to conclusions that are not always supported by the overall WoE, as we demonstrate using EPA's ozone Integrated Science Assessment as a case study. We propose additions to the NAAQS causal framework based on best practices gleaned from a previously conducted survey of available WoE frameworks. A revision of the NAAQS causal framework so that it more closely aligns with these best practices and the full and consistent application of the framework will improve future assessments of the potential health effects of criteria air pollutants by making the assessments more thorough, transparent, and scientifically sound.
A comprehensive framework for data quality assessment in CER.
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 .
Validity as a social imperative for assessment in health professions education: a concept analysis.
Marceau, Mélanie; Gallagher, Frances; Young, Meredith; St-Onge, Christina
2018-06-01
Assessment can have far-reaching consequences for future health care professionals and for society. Thus, it is essential to establish the quality of assessment. Few modern approaches to validity are well situated to ensure the quality of complex assessment approaches, such as authentic and programmatic assessments. Here, we explore and delineate the concept of validity as a social imperative in the context of assessment in health professions education (HPE) as a potential framework for examining the quality of complex and programmatic assessment approaches. We conducted a concept analysis using Rodgers' evolutionary method to describe the concept of validity as a social imperative in the context of assessment in HPE. Supported by an academic librarian, we developed and executed a search strategy across several databases for literature published between 1995 and 2016. From a total of 321 citations, we identified 67 articles that met our inclusion criteria. Two team members analysed the texts using a specified approach to qualitative data analysis. Consensus was achieved through full team discussions. Attributes that characterise the concept were: (i) demonstration of the use of evidence considered credible by society to document the quality of assessment; (ii) validation embedded through the assessment process and score interpretation; (iii) documented validity evidence supporting the interpretation of the combination of assessment findings, and (iv) demonstration of a justified use of a variety of evidence (quantitative and qualitative) to document the quality of assessment strategies. The emerging concept of validity as a social imperative highlights some areas of focus in traditional validation frameworks, whereas some characteristics appear unique to HPE and move beyond traditional frameworks. The study reflects the importance of embedding consideration for society and societal concerns throughout the assessment and validation process, and may represent a potential lens through which to examine the quality of complex and programmatic assessment approaches. © 2018 John Wiley & Sons Ltd and The Association for the Study of Medical Education.
Renewing focus on family planning service quality globally.
Hancock, Nancy L; Stuart, Gretchen S; Tang, Jennifer H; Chibwesha, Carla J; Stringer, Jeffrey S A; Chi, Benjamin H
2016-01-01
Reducing the global unmet need for contraception is currently a priority for many governments, multi-lateral initiatives, non-governmental organizations, and donors. Evidence strongly suggests that the provision of quality family planning services can increase uptake, prevalence, and continuation of contraception. While an accepted framework to define the components of family planning service quality exists, translating this framework into assessment tools that are accessible, easily utilized, and valid for service providers has remained a challenge. We propose new approaches to improve the standardization and accessibility of family planning service quality assessment tools to simplify family planning service quality evaluation. With easier approaches to program evaluation, quality improvements can be performed more swiftly to help increase uptake and continuation of contraception to improve the health of women and their families.
ERIC Educational Resources Information Center
Irvine, Susan; Price, Julie
2014-01-01
In 2012, Australia introduced a new "National Quality Framework" (NQF), comprising enhanced quality expectations for early childhood education and care services, two national learning frameworks and a new assessment and rating system spanning childcare centres, kindergartens and preschools, family day care and outside school hours care.…
Redox processes and water quality of selected principal aquifer systems
McMahon, P.B.; Chapelle, F.H.
2008-01-01
Reduction/oxidation (redox) conditions in 15 principal aquifer (PA) systems of the United States, and their impact on several water quality issues, were assessed from a large data base collected by the National Water-Quality Assessment Program of the USGS. The logic of these assessments was based on the observed ecological succession of electron acceptors such as dissolved oxygen, nitrate, and sulfate and threshold concentrations of these substrates needed to support active microbial metabolism. Similarly, the utilization of solid-phase electron acceptors such as Mn(IV) and Fe(III) is indicated by the production of dissolved manganese and iron. An internally consistent set of threshold concentration criteria was developed and applied to a large data set of 1692 water samples from the PAs to assess ambient redox conditions. The indicated redox conditions then were related to the occurrence of selected natural (arsenic) and anthropogenic (nitrate and volatile organic compounds) contaminants in ground water. For the natural and anthropogenic contaminants assessed in this study, considering redox conditions as defined by this framework of redox indicator species and threshold concentrations explained many water quality trends observed at a regional scale. An important finding of this study was that samples indicating mixed redox processes provide information on redox heterogeneity that is useful for assessing common water quality issues. Given the interpretive power of the redox framework and given that it is relatively inexpensive and easy to measure the chemical parameters included in the framework, those parameters should be included in routine water quality monitoring programs whenever possible.
The Complexities of Assessments in Professional Hospitality Education
ERIC Educational Resources Information Center
Brinkman-Staneva, Marina
2015-01-01
Purpose: The purpose of this paper is to highlight some inadequacies of the position of lecturers' qualifications to design assessments within hospitality curricula while meeting the requirements of international and national quality frameworks.The Framework for Qualifications of the European Higher Education Area leaves the responsibility for…
Pahn, Gregor; Skornitzke, Stephan; Schlemmer, Hans-Peter; Kauczor, Hans-Ulrich; Stiller, Wolfram
2016-01-01
Based on the guidelines from "Report 87: Radiation Dose and Image-quality Assessment in Computed Tomography" of the International Commission on Radiation Units and Measurements (ICRU), a software framework for automated quantitative image quality analysis was developed and its usability for a variety of scientific questions demonstrated. The extendable framework currently implements the calculation of the recommended Fourier image quality (IQ) metrics modulation transfer function (MTF) and noise-power spectrum (NPS), and additional IQ quantities such as noise magnitude, CT number accuracy, uniformity across the field-of-view, contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) of simulated lesions for a commercially available cone-beam phantom. Sample image data were acquired with different scan and reconstruction settings on CT systems from different manufacturers. Spatial resolution is analyzed in terms of edge-spread function, line-spread-function, and MTF. 3D NPS is calculated according to ICRU Report 87, and condensed to 2D and radially averaged 1D representations. Noise magnitude, CT numbers, and uniformity of these quantities are assessed on large samples of ROIs. Low-contrast resolution (CNR, SNR) is quantitatively evaluated as a function of lesion contrast and diameter. Simultaneous automated processing of several image datasets allows for straightforward comparative assessment. The presented framework enables systematic, reproducible, automated and time-efficient quantitative IQ analysis. Consistent application of the ICRU guidelines facilitates standardization of quantitative assessment not only for routine quality assurance, but for a number of research questions, e.g. the comparison of different scanner models or acquisition protocols, and the evaluation of new technology or reconstruction methods. Copyright © 2015 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.
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
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.
Drinking water quality management: a holistic approach.
Rizak, S; Cunliffe, D; Sinclair, M; Vulcano, R; Howard, J; Hrudey, S; Callan, P
2003-01-01
A growing list of water contaminants has led to some water suppliers relying primarily on compliance monitoring as a mechanism for managing drinking water quality. While such monitoring is a necessary part of drinking water quality management, experiences with waterborne disease threats and outbreaks have shown that compliance monitoring for numerical limits is not, in itself, sufficient to guarantee the safety and quality of drinking water supplies. To address these issues, the Australian National Health and Medical Research Council (NHMRC) has developed a Framework for Management of Drinking Water Quality (the Framework) for incorporation in the Australian Drinking Water Guidelines, the primary reference on drinking water quality in Australia. The Framework was developed specifically for drinking water supplies and provides a comprehensive and preventive risk management approach from catchment to consumer. It includes holistic guidance on a range of issues considered good practice for system management. The Framework addresses four key areas: Commitment to Drinking Water Quality Management, System Analysis and System Management, Supporting Requirements, and Review. The Framework represents a significantly enhanced approach to the management and regulation of drinking water quality and offers a flexible and proactive means of optimising drinking water quality and protecting public health. Rather than the primary reliance on compliance monitoring, the Framework emphasises prevention, the importance of risk assessment, maintaining the integrity of water supply systems and application of multiple barriers to assure protection of public health. Development of the Framework was undertaken in collaboration with the water industry, regulators and other stakeholder, and will promote a common and unified approach to drinking water quality management throughout Australia. The Framework has attracted international interest.
A New Framework for Designing Programmes of Assessment
ERIC Educational Resources Information Center
Dijkstra, J.; Van der Vleuten, C. P. M.; Schuwirth, L. W. T.
2010-01-01
Research on assessment in medical education has strongly focused on individual measurement instruments and their psychometric quality. Without detracting from the value of this research, such an approach is not sufficient to high quality assessment of competence as a whole. A programmatic approach is advocated which presupposes criteria for…
Mind the Gap: An Analysis of How Quality Assurance Processes Influence Programme Assessment Patterns
ERIC Educational Resources Information Center
Jessop, Tansy; McNab, Nicole; Gubby, Laura
2012-01-01
This article explores the relationship between the lack of visible attention to formative assessment in degree specifications and its marginalization in practice. Degree specification documents form part of the quality apparatus emphasizing the accountability and certification duties of assessment. Ironically, a framework designed to assure…
Kahn, Michael G; Callahan, Tiffany J; Barnard, Juliana; Bauck, Alan E; Brown, Jeff; Davidson, Bruce N; Estiri, Hossein; Goerg, Carsten; Holve, Erin; Johnson, Steven G; Liaw, Siaw-Teng; Hamilton-Lopez, Marianne; Meeker, Daniella; Ong, Toan C; Ryan, Patrick; Shang, Ning; Weiskopf, Nicole G; Weng, Chunhua; Zozus, Meredith N; Schilling, Lisa
2016-01-01
Harmonized data quality (DQ) assessment terms, methods, and reporting practices can establish a common understanding of the strengths and limitations of electronic health record (EHR) data for operational analytics, quality improvement, and research. Existing published DQ terms were harmonized to a comprehensive unified terminology with definitions and examples and organized into a conceptual framework to support a common approach to defining whether EHR data is 'fit' for specific uses. DQ publications, informatics and analytics experts, managers of established DQ programs, and operational manuals from several mature EHR-based research networks were reviewed to identify potential DQ terms and categories. Two face-to-face stakeholder meetings were used to vet an initial set of DQ terms and definitions that were grouped into an overall conceptual framework. Feedback received from data producers and users was used to construct a draft set of harmonized DQ terms and categories. Multiple rounds of iterative refinement resulted in a set of terms and organizing framework consisting of DQ categories, subcategories, terms, definitions, and examples. The harmonized terminology and logical framework's inclusiveness was evaluated against ten published DQ terminologies. Existing DQ terms were harmonized and organized into a framework by defining three DQ categories: (1) Conformance (2) Completeness and (3) Plausibility and two DQ assessment contexts: (1) Verification and (2) Validation. Conformance and Plausibility categories were further divided into subcategories. Each category and subcategory was defined with respect to whether the data may be verified with organizational data, or validated against an accepted gold standard, depending on proposed context and uses. The coverage of the harmonized DQ terminology was validated by successfully aligning to multiple published DQ terminologies. Existing DQ concepts, community input, and expert review informed the development of a distinct set of terms, organized into categories and subcategories. The resulting DQ terms successfully encompassed a wide range of disparate DQ terminologies. Operational definitions were developed to provide guidance for implementing DQ assessment procedures. The resulting structure is an inclusive DQ framework for standardizing DQ assessment and reporting. While our analysis focused on the DQ issues often found in EHR data, the new terminology may be applicable to a wide range of electronic health data such as administrative, research, and patient-reported data. A consistent, common DQ terminology, organized into a logical framework, is an initial step in enabling data owners and users, patients, and policy makers to evaluate and communicate data quality findings in a well-defined manner with a shared vocabulary. Future work will leverage the framework and terminology to develop reusable data quality assessment and reporting methods.
Defining and Assessing Quality Improvement Outcomes: A Framework for Public Health
Nawaz, Saira; Thomas, Craig; Young, Andrea
2015-01-01
We describe an evidence-based framework to define and assess the impact of quality improvement (QI) in public health. Developed to address programmatic and research-identified needs for articulating the value of public health QI in aggregate, this framework proposes a standardized set of measures to monitor and improve the efficiency and effectiveness of public health programs and operations. We reviewed the scientific literature and analyzed QI initiatives implemented through the Centers for Disease Control and Prevention’s National Public Health Improvement Initiative to inform the selection of 5 efficiency and 8 effectiveness measures. This framework provides a model for identifying the types of improvement outcomes targeted by public health QI efforts and a means to understand QI’s impact on the practice of public health. PMID:25689185
The Effects of Quality of Care on Costs: A Conceptual Framework
Nuckols, Teryl K; Escarce, José J; Asch, Steven M
2013-01-01
Context The quality of health care and the financial costs affected by receiving care represent two fundamental dimensions for judging health care performance. No existing conceptual framework appears to have described how quality influences costs. Methods We developed the Quality-Cost Framework, drawing from the work of Donabedian, the RAND/UCLA Appropriateness Method, reports by the Institute of Medicine, and other sources. Findings The Quality-Cost Framework describes how health-related quality of care (aspects of quality that influence health status) affects health care and other costs. Structure influences process, which, in turn, affects proximate and ultimate outcomes. Within structure, subdomains include general structural characteristics, circumstance-specific (e.g., disease-specific) structural characteristics, and quality-improvement systems. Process subdomains include appropriateness of care and medical errors. Proximate outcomes consist of disease progression, disease complications, and care complications. Each of the preceding subdomains influences health care costs. For example, quality improvement systems often create costs associated with monitoring and feedback. Providing appropriate care frequently requires additional physician visits and medications. Care complications may result in costly hospitalizations or procedures. Ultimate outcomes include functional status as well as length and quality of life; the economic value of these outcomes can be measured in terms of health utility or health-status-related costs. We illustrate our framework using examples related to glycemic control for type 2 diabetes mellitus or the appropriateness of care for low back pain. Conclusions The Quality-Cost Framework describes the mechanisms by which health-related quality of care affects health care and health status–related costs. Additional work will need to validate the framework by applying it to multiple clinical conditions. Applicability could be assessed by using the framework to classify the measures of quality and cost reported in published studies. Usefulness could be demonstrated by employing the framework to identify design flaws in published cost analyses, such as omitting the costs attributable to a relevant subdomain of quality. PMID:23758513
The Evidence-Based Reasoning Framework: Assessing Scientific Reasoning
ERIC Educational Resources Information Center
Brown, Nathaniel J. S.; Furtak, Erin Marie; Timms, Michael; Nagashima, Sam O.; Wilson, Mark
2010-01-01
Recent science education reforms have emphasized the importance of students engaging with and reasoning from evidence to develop scientific explanations. A number of studies have created frameworks based on Toulmin's (1958/2003) argument pattern, whereas others have developed systems for assessing the quality of students' reasoning to support…
NASA Astrophysics Data System (ADS)
Dolly, Steven R.; Anastasio, Mark A.; Yu, Lifeng; Li, Hua
2017-03-01
In current radiation therapy practice, image quality is still assessed subjectively or by utilizing physically-based metrics. Recently, a methodology for objective task-based image quality (IQ) assessment in radiation therapy was proposed by Barrett et al.1 In this work, we present a comprehensive implementation and evaluation of this new IQ assessment methodology. A modular simulation framework was designed to perform an automated, computer-simulated end-to-end radiation therapy treatment. A fully simulated framework was created that utilizes new learning-based stochastic object models (SOM) to obtain known organ boundaries, generates a set of images directly from the numerical phantoms created with the SOM, and automates the image segmentation and treatment planning steps of a radiation therapy work ow. By use of this computational framework, therapeutic operating characteristic (TOC) curves can be computed and the area under the TOC curve (AUTOC) can be employed as a figure-of-merit to guide optimization of different components of the treatment planning process. The developed computational framework is employed to optimize X-ray CT pre-treatment imaging. We demonstrate that use of the radiation therapy-based-based IQ measures lead to different imaging parameters than obtained by use of physical-based measures.
NASA Astrophysics Data System (ADS)
Johnston, J. M.
2013-12-01
Freshwater habitats provide fishable, swimmable and drinkable resources and are a nexus of geophysical and biological processes. These processes in turn influence the persistence and sustainability of populations, communities and ecosystems. Climate change and landuse change encompass numerous stressors of potential exposure, including the introduction of toxic contaminants, invasive species, and disease in addition to physical drivers such as temperature and hydrologic regime. A systems approach that includes the scientific and technologic basis of assessing the health of ecosystems is needed to effectively protect human health and the environment. The Integrated Environmental Modeling Framework 'iemWatersheds' has been developed as a consistent and coherent means of forecasting the cumulative impact of co-occurring stressors. The Framework consists of three facilitating technologies: Data for Environmental Modeling (D4EM) that automates the collection and standardization of input data; the Framework for Risk Assessment of Multimedia Environmental Systems (FRAMES) that manages the flow of information between linked models; and the Supercomputer for Model Uncertainty and Sensitivity Evaluation (SuperMUSE) that provides post-processing and analysis of model outputs, including uncertainty and sensitivity analysis. Five models are linked within the Framework to provide multimedia simulation capabilities for hydrology and water quality processes: the Soil Water Assessment Tool (SWAT) predicts surface water and sediment runoff and associated contaminants; the Watershed Mercury Model (WMM) predicts mercury runoff and loading to streams; the Water quality Analysis and Simulation Program (WASP) predicts water quality within the stream channel; the Habitat Suitability Index (HSI) model scores physicochemical habitat quality for individual fish species; and the Bioaccumulation and Aquatic System Simulator (BASS) predicts fish growth, population dynamics and bioaccumulation of toxic substances. The capability of the Framework to address cumulative impacts will be demonstrated for freshwater ecosystem services and mountaintop mining.
The National Water Quality Monitoring Council (NWQMC) developed a common framework for aquatic resource monitoring. The framework is described in a series of articles published in Water Resources IMPACT, September, 2003. One objective of the framework is to encourage consistenc...
Federal Register 2010, 2011, 2012, 2013, 2014
2012-08-07
... Assessment in Environmental Decision- Making'' (EPA-SAB-08-002). Background information about this advisory... ecological assessment action plan and (2) an SAB draft review report on EPA's accounting framework for... ``SAB Review (7-26-12 Draft) of EPA's Accounting Framework for Biogenic CO 2 Emissions from Stationary...
Kahn, Michael G.; Callahan, Tiffany J.; Barnard, Juliana; Bauck, Alan E.; Brown, Jeff; Davidson, Bruce N.; Estiri, Hossein; Goerg, Carsten; Holve, Erin; Johnson, Steven G.; Liaw, Siaw-Teng; Hamilton-Lopez, Marianne; Meeker, Daniella; Ong, Toan C.; Ryan, Patrick; Shang, Ning; Weiskopf, Nicole G.; Weng, Chunhua; Zozus, Meredith N.; Schilling, Lisa
2016-01-01
Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting practices can establish a common understanding of the strengths and limitations of electronic health record (EHR) data for operational analytics, quality improvement, and research. Existing published DQ terms were harmonized to a comprehensive unified terminology with definitions and examples and organized into a conceptual framework to support a common approach to defining whether EHR data is ‘fit’ for specific uses. Materials and Methods: DQ publications, informatics and analytics experts, managers of established DQ programs, and operational manuals from several mature EHR-based research networks were reviewed to identify potential DQ terms and categories. Two face-to-face stakeholder meetings were used to vet an initial set of DQ terms and definitions that were grouped into an overall conceptual framework. Feedback received from data producers and users was used to construct a draft set of harmonized DQ terms and categories. Multiple rounds of iterative refinement resulted in a set of terms and organizing framework consisting of DQ categories, subcategories, terms, definitions, and examples. The harmonized terminology and logical framework’s inclusiveness was evaluated against ten published DQ terminologies. Results: Existing DQ terms were harmonized and organized into a framework by defining three DQ categories: (1) Conformance (2) Completeness and (3) Plausibility and two DQ assessment contexts: (1) Verification and (2) Validation. Conformance and Plausibility categories were further divided into subcategories. Each category and subcategory was defined with respect to whether the data may be verified with organizational data, or validated against an accepted gold standard, depending on proposed context and uses. The coverage of the harmonized DQ terminology was validated by successfully aligning to multiple published DQ terminologies. Discussion: Existing DQ concepts, community input, and expert review informed the development of a distinct set of terms, organized into categories and subcategories. The resulting DQ terms successfully encompassed a wide range of disparate DQ terminologies. Operational definitions were developed to provide guidance for implementing DQ assessment procedures. The resulting structure is an inclusive DQ framework for standardizing DQ assessment and reporting. While our analysis focused on the DQ issues often found in EHR data, the new terminology may be applicable to a wide range of electronic health data such as administrative, research, and patient-reported data. Conclusion: A consistent, common DQ terminology, organized into a logical framework, is an initial step in enabling data owners and users, patients, and policy makers to evaluate and communicate data quality findings in a well-defined manner with a shared vocabulary. Future work will leverage the framework and terminology to develop reusable data quality assessment and reporting methods. PMID:27713905
ERIC Educational Resources Information Center
Torney-Purta, Judith; Cabrera, Julio C.; Roohr, Katrina Crotts; Liu, Ou Lydia; Rios, Joseph A.
2015-01-01
Civic learning is increasingly recognized as important by the higher education and workforce communities. The development of high-quality assessments that can be used to evaluate students' civic learning during the college years has become a priority. This paper presents a comprehensive review of existing frameworks, definitions, and assessments…
Carinci, F; Van Gool, K; Mainz, J; Veillard, J; Pichora, E C; Januel, J M; Arispe, I; Kim, S M; Klazinga, N S
2015-04-01
To review and update the conceptual framework, indicator content and research priorities of the Organisation for Economic Cooperation and Development's (OECD) Health Care Quality Indicators (HCQI) project, after a decade of collaborative work. A structured assessment was carried out using a modified Delphi approach, followed by a consensus meeting, to assess the suite of HCQI for international comparisons, agree on revisions to the original framework and set priorities for research and development. International group of countries participating to OECD projects. Members of the OECD HCQI expert group. A reference matrix, based on a revised performance framework, was used to map and assess all seventy HCQI routinely calculated by the OECD expert group. A total of 21 indicators were agreed to be excluded, due to the following concerns: (i) relevance, (ii) international comparability, particularly where heterogeneous coding practices might induce bias, (iii) feasibility, when the number of countries able to report was limited and the added value did not justify sustained effort and (iv) actionability, for indicators that were unlikely to improve on the basis of targeted policy interventions. The revised OECD framework for HCQI represents a new milestone of a long-standing international collaboration among a group of countries committed to building common ground for performance measurement. The expert group believes that the continuation of this work is paramount to provide decision makers with a validated toolbox to directly act on quality improvement strategies. © The Author 2015. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.
Eutrophication of lakes and reservoirs: A framework for making management decisions
Rast, W.; Holland, M.
1988-01-01
The development of management strategies for the protection of environmental quality usually involves consideration both of technical and nontechnical issues. A logical, step-by-step framework for development of such strategies is provided. Its application to the control of cultured eutrophication of lakes and reservoirs illustrates its potential usefulness. From the perspective of the policymaker, the main consideration is that the eutrophication-related water quality of a lake or reservoir can be managed for given water uses. The approach presented here allows the rational assessment of relevant water-quality parameters and establishment of water-quality goals, consideration of social and other nontechnical issues, the possibilities of public involvement in the decision-making process, and a reasonable economic analysis within a management framework.
Forest Inventory and Analysis National Data Quality Assessment Report for 2000 to 2003
James E. Pollard; James A. Westfall; Paul L. Patterson; David L. Gartner; Mark Hansen; Olaf Kuegler
2006-01-01
The Forest Inventory and Analysis program (FIA) is the key USDA Forest Service (USFS) program that provides the information needed to assess the status and trends in the environmental quality of the Nation's forests. The goal of the FIA Quality Assurance (QA) program is to provide a framework to assure the production of complete, accurate and unbiased forest...
NASA Astrophysics Data System (ADS)
Bhardwaj, Jyotirmoy; Gupta, Karunesh K.; Gupta, Rajiv
2018-02-01
New concepts and techniques are replacing traditional methods of water quality parameter measurement systems. This paper introduces a cyber-physical system (CPS) approach for water quality assessment in a distribution network. Cyber-physical systems with embedded sensors, processors and actuators can be designed to sense and interact with the water environment. The proposed CPS is comprised of sensing framework integrated with five different water quality parameter sensor nodes and soft computing framework for computational modelling. Soft computing framework utilizes the applications of Python for user interface and fuzzy sciences for decision making. Introduction of multiple sensors in a water distribution network generates a huge number of data matrices, which are sometimes highly complex, difficult to understand and convoluted for effective decision making. Therefore, the proposed system framework also intends to simplify the complexity of obtained sensor data matrices and to support decision making for water engineers through a soft computing framework. The target of this proposed research is to provide a simple and efficient method to identify and detect presence of contamination in a water distribution network using applications of CPS.
Using Feedback from Data Consumers to Capture Quality Information on Environmental Research Data
NASA Astrophysics Data System (ADS)
Devaraju, A.; Klump, J. F.
2015-12-01
Data quality information is essential to facilitate reuse of Earth science data. Recorded quality information must be sufficient for other researchers to select suitable data sets for their analysis and confirm the results and conclusions. In the research data ecosystem, several entities are responsible for data quality. Data producers (researchers and agencies) play a major role in this aspect as they often include validation checks or data cleaning as part of their work. It is possible that the quality information is not supplied with published data sets; if it is available, the descriptions might be incomplete, ambiguous or address specific quality aspects. Data repositories have built infrastructures to share data, but not all of them assess data quality. They normally provide guidelines of documenting quality information. Some suggests that scholarly and data journals should take a role in ensuring data quality by involving reviewers to assess data sets used in articles, and incorporating data quality criteria in the author guidelines. However, this mechanism primarily addresses data sets submitted to journals. We believe that data consumers will complement existing entities to assess and document the quality of published data sets. This has been adopted in crowd-source platforms such as Zooniverse, OpenStreetMap, Wikipedia, Mechanical Turk and Tomnod. This paper presents a framework designed based on open source tools to capture and share data users' feedback on the application and assessment of research data. The framework comprises a browser plug-in, a web service and a data model such that feedback can be easily reported, retrieved and searched. The feedback records are also made available as Linked Data to promote integration with other sources on the Web. Vocabularies from Dublin Core and PROV-O are used to clarify the source and attribution of feedback. The application of the framework is illustrated with the CSIRO's Data Access Portal.
A Review of Auditing Methods Applied to the Content of Controlled Biomedical Terminologies
Zhu, Xinxin; Fan, Jung-Wei; Baorto, David M.; Weng, Chunhua; Cimino, James J.
2012-01-01
Although controlled biomedical terminologies have been with us for centuries, it is only in the last couple of decades that close attention has been paid to the quality of these terminologies. The result of this attention has been the development of auditing methods that apply formal methods to assessing whether terminologies are complete and accurate. We have performed an extensive literature review to identify published descriptions of these methods and have created a framework for characterizing them. The framework considers manual, systematic and heuristic methods that use knowledge (within or external to the terminology) to measure quality factors of different aspects of the terminology content (terms, semantic classification, and semantic relationships). The quality factors examined included concept orientation, consistency, non-redundancy, soundness and comprehensive coverage. We reviewed 130 studies that were retrieved based on keyword search on publications in PubMed, and present our assessment of how they fit into our framework. We also identify which terminologies have been audited with the methods and provide examples to illustrate each part of the framework. PMID:19285571
Teacher-Child Interactions in Chile and Their Associations with Prekindergarten Outcomes
ERIC Educational Resources Information Center
Leyva, Diana; Weiland, Christina; Barata, M.; Yoshikawa, Hirokazu; Snow, Catherine; Treviño, Ernesto; Rolla, Andrea
2015-01-01
Quality of teacher-child interactions is central to prekindergarten children's learning. In the United States, the quality of teacher-child interactions is commonly assessed using the teaching through interactions conceptual framework and an associated observational tool, the Classroom Assessment Scoring System (CLASS). This study examined: (a)…
USDA-ARS?s Scientific Manuscript database
To ensure current land use strategies and management practices are economically, environmentally, and socially sustainable, tools and techniques for assessing and quantifying changes in soil quality/health (SQ) need to be developed through rigorous research and potential use by consultants, and othe...
Nowlin, Jon O.; Brown, W.M.; Smith, L.H.; Hoffman, R.J.
1980-01-01
The objectives of the Geological Survey 's river-quality assessment in the Truckee and Carson River basins in California and Nevada are to identify the significant resource management problems; to develop techniques to assess the problems; and to effectively communicate results to responsible managers. Six major elements of the assessment to be completed by October 1981 are (1) a detailing of the legal, institutional, and structural development of water resources in the basins and the current problems and conflicts; (2) a compilation and synthesis of the physical hydrology of the basins; (3) development of a special workshop approach to involve local management in the direction and results of the study; (4) development of a comprehensive streamflow model emcompassing both basins to provide a quantitative hydrologic framework for water-quality analysis; (5) development of a water-quality transport model for selected constituents and characteristics on selected reaches of the Truckee River; and (6) a detailed examination of selected fish habitats for specified reaches of the Truckee River. Progress will be periodically reported in reports, maps, computer data files, mathematical models, a bibliography, and public presentations. In building a basic framework to develop techniques, the basins were viewed as a single hydrologic unit because of interconnecting diversion structures. The framework comprises 13 hydrographic subunits to facilitate modeling and sampling. Several significant issues beyond the scope of the assessment were considered as supplementary proposals; water-quality loadings in Truckee and Carson Rivers, urban runoff in Reno and management alternatives, and a model of limnological processes in Lahontan Reservoir. (USGS)
Gao, Yuan; Peters, Ove A; Wu, Hongkun; Zhou, Xuedong
2009-02-01
The purpose of this study was to customize an application framework by using the MeVisLab image processing and visualization platform for three-dimensional reconstruction and assessment of tooth and root canal morphology. One maxillary first molar was scanned before and after preparation with ProTaper by using micro-computed tomography. With a customized application framework based on MeVisLab, internal and external anatomy was reconstructed. Furthermore, the dimensions of root canal and radicular dentin were quantified, and effects of canal preparation were assessed. Finally, a virtual preparation with risk analysis was performed to simulate the removal of a broken instrument. This application framework provided an economical platform and met current requirements of endodontic research. The broad-based use of high-quality free software and the resulting exchange of experience might help to improve the quality of endodontic research with micro-computed tomography.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dolly, S; Mutic, S; Anastasio, M
Purpose: Traditionally, image quality in radiation therapy is assessed subjectively or by utilizing physically-based metrics. Some model observers exist for task-based medical image quality assessment, but almost exclusively for diagnostic imaging tasks. As opposed to disease diagnosis, the task for image observers in radiation therapy is to utilize the available images to design and deliver a radiation dose which maximizes patient disease control while minimizing normal tissue damage. The purpose of this study was to design and implement a new computer simulation model observer to enable task-based image quality assessment in radiation therapy. Methods: A modular computer simulation framework wasmore » developed to resemble the radiotherapy observer by simulating an end-to-end radiation therapy treatment. Given images and the ground-truth organ boundaries from a numerical phantom as inputs, the framework simulates an external beam radiation therapy treatment and quantifies patient treatment outcomes using the previously defined therapeutic operating characteristic (TOC) curve. As a preliminary demonstration, TOC curves were calculated for various CT acquisition and reconstruction parameters, with the goal of assessing and optimizing simulation CT image quality for radiation therapy. Sources of randomness and bias within the system were analyzed. Results: The relationship between CT imaging dose and patient treatment outcome was objectively quantified in terms of a singular value, the area under the TOC (AUTOC) curve. The AUTOC decreases more rapidly for low-dose imaging protocols. AUTOC variation introduced by the dose optimization algorithm was approximately 0.02%, at the 95% confidence interval. Conclusion: A model observer has been developed and implemented to assess image quality based on radiation therapy treatment efficacy. It enables objective determination of appropriate imaging parameter values (e.g. imaging dose). Framework flexibility allows for incorporation of additional modules to include any aspect of the treatment process, and therefore has great potential for both assessment and optimization within radiation therapy.« less
[Informatics data quality and management].
Feng, Rung-Chuang
2009-06-01
While the quality of data affects every aspect of business, it is frequently overlooked in terms of customer data integration, data warehousing, business intelligence and enterprise applications. Regardless of which data terms are used, a high level of data quality is a critical base condition essential to satisfy user needs and facilitate the development of effective applications. In this paper, the author introduces methods, a management framework and the major factors involved in data quality assessment. Author also integrates expert opinions to develop data quality assessment tools.
Quantitative Procedures for the Assessment of Quality in Higher Education Institutions.
ERIC Educational Resources Information Center
Moran, Tom; Rowse, Glenwood
The development of procedures designed to provide quantitative assessments of quality in higher education institutions are reviewed. These procedures employ a systems framework and utilize quantitative data to compare institutions or programs of similar types with one another. Three major elements essential in the development of models focusing on…
Quality Management and Self Assessment Tools for Public Libraries.
ERIC Educational Resources Information Center
Evans, Margaret Kinnell
This paper describes a two-year study by the British Library Research and Innovation Centre that examined the potential of self-assessment for public library services. The approaches that formed the basis for the investigation were the Business Excellence Model, the Quality Framework, and the Democratic Approach. Core values were identified by…
Professionalization in Universities and European Convergence
ERIC Educational Resources Information Center
Vivas, Amparo Jimenez; Hevia, David Menendez Alvarez
2009-01-01
The constant assessment of the quality of higher education within the framework of European convergence is a challenge for all those universities that wish their degrees and diplomas to reflect a unified Europe. As is the case in any assessment, change and review process, the quest to improve quality implies measuring achievement of the objectives…
Preparing Impact Submissions for REF 2014: An Evaluation. Findings and Observations
ERIC Educational Resources Information Center
Manville, Catriona; Jones, Molly Morgan; Frearson, Michael; Castle-Clarke, Sophie; Henham, Marie-Louise; Gunashekar, Salil; Grant, Jonathan
2015-01-01
The Research Excellence Framework (REF) 2014 is a nationwide initiative designed to assess the quality of research in UK higher education institutions (HEIs). For the first time, REF 2014 introduced the wider impact of research, alongside the quality of research and the vitality of the research environment, into the assessment of research…
Preparing Impact Submissions for REF 2014: An Evaluation. Research Brief
ERIC Educational Resources Information Center
Manville, Catriona; Jones, Molly Morgan; Frearson, Michael; Castle-Clarke, Sophie; Henham, Marie-Louise; Gunashekar, Salil; Grant, Jonathan
2015-01-01
The Research Excellence Framework (REF) 2014 is a nationwide initiative designed to assess the quality of research in UK higher education institutions (HEIs). For the first time, REF 2014 introduced the wider impact of research, alongside the quality of research and the vitality of the research environment, into the assessment of research…
Preparing Impact Submissions for REF 2014: An Evaluation. Approach and Evidence
ERIC Educational Resources Information Center
Manville, Catriona; Jones, Molly Morgan; Henham, Marie-Louise; Castle-Clarke, Sophie; Frearson, Michael; Gunashekar, Salil; Grant, Jonathan
2015-01-01
The Research Excellence Framework (REF) 2014 is a nationwide initiative designed to assess the quality of research in UK higher education institutions (HEIs). For the first time, REF 2014 introduced the wider impact of research, alongside the quality of research and the vitality of the research environment, into the assessment of research…
A Methodological Proposal for Learning Games Selection and Quality Assessment
ERIC Educational Resources Information Center
Dondi, Claudio; Moretti, Michela
2007-01-01
This paper presents a methodological proposal elaborated in the framework of two European projects dealing with game-based learning, both of which have focused on "quality" aspects in order to create suitable tools that support European educators, practitioners and lifelong learners in selecting and assessing learning games for use in…
The GRADE approach and Bradford Hill's criteria for causation.
Schünemann, Holger; Hill, Suzanne; Guyatt, Gordon; Akl, Elie A; Ahmed, Faruque
2011-05-01
This article describes how the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to grading the quality of evidence and strength of recommendations considers the Bradford Hill criteria for causation and how GRADE may relate to questions in public health. A primary concern in public health is that evidence from non-randomised studies may provide a more adequate or best available measure of a public health strategy's impact, but that such evidence might be graded as lower quality in the GRADE framework. GRADE, however, presents a framework that describes both criteria for assessing the quality of research evidence and the strength of recommendations that includes considerations arising from the Bradford Hill criteria. GRADE places emphasis on recommendations and in assessing quality of evidence; GRADE notes that randomisation is only one of many relevant factors. This article describes how causation may relate to developing recommendations and how the Bradford Hill criteria are considered in GRADE, using examples from the public health literature with a focus on immunisation.
A Mixed-Methods Research Framework for Healthcare Process Improvement.
Bastian, Nathaniel D; Munoz, David; Ventura, Marta
2016-01-01
The healthcare system in the United States is spiraling out of control due to ever-increasing costs without significant improvements in quality, access to care, satisfaction, and efficiency. Efficient workflow is paramount to improving healthcare value while maintaining the utmost standards of patient care and provider satisfaction in high stress environments. This article provides healthcare managers and quality engineers with a practical healthcare process improvement framework to assess, measure and improve clinical workflow processes. The proposed mixed-methods research framework integrates qualitative and quantitative tools to foster the improvement of processes and workflow in a systematic way. The framework consists of three distinct phases: 1) stakeholder analysis, 2a) survey design, 2b) time-motion study, and 3) process improvement. The proposed framework is applied to the pediatric intensive care unit of the Penn State Hershey Children's Hospital. The implementation of this methodology led to identification and categorization of different workflow tasks and activities into both value-added and non-value added in an effort to provide more valuable and higher quality patient care. Based upon the lessons learned from the case study, the three-phase methodology provides a better, broader, leaner, and holistic assessment of clinical workflow. The proposed framework can be implemented in various healthcare settings to support continuous improvement efforts in which complexity is a daily element that impacts workflow. We proffer a general methodology for process improvement in a healthcare setting, providing decision makers and stakeholders with a useful framework to help their organizations improve efficiency. Published by Elsevier Inc.
USDA-ARS?s Scientific Manuscript database
AgroEcoSystem-Watershed (AgES-W) is a modular, Java-based spatially distributed model which implements hydrologic and water quality (H/WQ) simulation components under the Java Connection Framework (JCF) and the Object Modeling System (OMS) environmental modeling framework. AgES-W is implicitly scala...
Revised Methods for Characterizing Stream Habitat in the National Water-Quality Assessment Program
Fitzpatrick, Faith A.; Waite, Ian R.; D'Arconte, Patricia J.; Meador, Michael R.; Maupin, Molly A.; Gurtz, Martin E.
1998-01-01
Stream habitat is characterized in the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program as part of an integrated physical, chemical, and biological assessment of the Nation's water quality. The goal of stream habitat characterization is to relate habitat to other physical, chemical, and biological factors that describe water-quality conditions. To accomplish this goal, environmental settings are described at sites selected for water-quality assessment. In addition, spatial and temporal patterns in habitat are examined at local, regional, and national scales. This habitat protocol contains updated methods for evaluating habitat in NAWQA Study Units. Revisions are based on lessons learned after 6 years of applying the original NAWQA habitat protocol to NAWQA Study Unit ecological surveys. Similar to the original protocol, these revised methods for evaluating stream habitat are based on a spatially hierarchical framework that incorporates habitat data at basin, segment, reach, and microhabitat scales. This framework provides a basis for national consistency in collection techniques while allowing flexibility in habitat assessment within individual Study Units. Procedures are described for collecting habitat data at basin and segment scales; these procedures include use of geographic information system data bases, topographic maps, and aerial photographs. Data collected at the reach scale include channel, bank, and riparian characteristics.
Campbell, S M; Roland, M O; Buetow, S A
2000-12-01
This paper defines quality of health care. We suggest that there are two principal dimensions of quality of care for individual patients; access and effectiveness. In essence, do users get the care they need, and is the care effective when they get it? Within effectiveness, we define two key components--effectiveness of clinical care and effectiveness of inter-personal care. These elements are discussed in terms of the structure of the health care system, processes of care, and outcomes resulting from care. The framework relates quality of care to individual patients and we suggest that quality of care is a concept that is at its most meaningful when applied to the individual user of health care. However, care for individuals must placed in the context of providing health care for populations which introduces additional notions of equity and efficiency. We show how this framework can be of practical value by applying the concepts to a set of quality indicators contained within the UK National Performance Assessment Framework and to a set of widely used indicators in the US (HEDIS). In so doing we emphasise the differences between US and UK measures of quality. Using a conceptual framework to describe the totality of quality of care shows which aspects of care any set of quality indicators actually includes and measures and, and which are not included.
Padula, William V; Mishra, Manish K; Makic, Mary Beth F; Valuck, Robert J
2014-06-01
To enhance the learner's competence with knowledge about a framework of quality improvement (QI) interventions to implement evidence-based practices for pressure ulcer (PrU) prevention. This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. After participating in this educational activity, the participant should be better able to:1. Summarize the process of creating and initiating the best-practice framework of QI for PrU prevention.2. Identify the domains and QI interventions for the best-practice framework of QI for PrU prevention. Pressure ulcer (PrU) prevention is a priority issue in US hospitals. The National Pressure Ulcer Advisory Panel endorses an evidence-based practice (EBP) protocol to help prevent PrUs. Effective implementation of EBPs requires systematic change of existing care units. Quality improvement interventions offer a mechanism of change to existing structures in order to effectively implement EBPs for PrU prevention. The best-practice framework developed by Nelson et al is a useful model of quality improvement interventions that targets process improvement in 4 domains: leadership, staff, information and information technology, and performance and improvement. At 2 academic medical centers, the best-practice framework was shown to physicians, nurses, and health services researchers. Their insight was used to modify the best-practice framework as a reference tool for quality improvement interventions in PrU prevention. The revised framework includes 25 elements across 4 domains. Many of these elements support EBPs for PrU prevention, such as updates in PrU staging and risk assessment. The best-practice framework offers a reference point to initiating a bundle of quality improvement interventions in support of EBPs. Hospitals and clinicians tasked with quality improvement efforts can use this framework to problem-solve PrU prevention and other critical issues.
Family Quality of Life of Chinese Families of Children with Intellectual Disabilities
ERIC Educational Resources Information Center
Hu, X.; Wang, M.; Fei, X.
2012-01-01
Background: The concepts of quality of life and family quality of life (FQOL) are increasingly being studied in the field of intellectual disabilities (ID) in China as important frameworks for: (1) assessing families' need for supports and services; (2) guiding organisational and service delivery system changes; and (3) evaluating quality family…
Educational Quality in Music Teacher Education: Components of a Foundation for Research
ERIC Educational Resources Information Center
Johansen, Geir
2007-01-01
Increasing demands for educational quality in higher education affect both higher music education and music teacher education. A theoretical framework is needed if we are to question what is meant by "educational quality" in the latter. To establish programs for quality development and assessment requires basic subject-specific research on the…
Secanell, Mariona; Groene, Oliver; Arah, Onyebuchi A; Lopez, Maria Andrée; Kutryba, Basia; Pfaff, Holger; Klazinga, Niek; Wagner, Cordula; Kristensen, Solvejg; Bartels, Paul Daniel; Garel, Pascal; Bruneau, Charles; Escoval, Ana; França, Margarida; Mora, Nuria; Suñol, Rosa
2014-04-01
This paper provides an overview of the DUQuE (Deepening our Understanding of Quality Improvement in Europe) project, the first study across multiple countries of the European Union (EU) to assess relationships between quality management and patient outcomes at EU level. The paper describes the conceptual framework and methods applied, highlighting the novel features of this study. DUQuE was designed as a multi-level cross-sectional study with data collection at hospital, pathway, professional and patient level in eight countries. We aimed to collect data for the assessment of hospital-wide constructs from up to 30 randomly selected hospitals in each country, and additional data at pathway and patient level in 12 of these 30. A comprehensive conceptual framework was developed to account for the multiple levels that influence hospital performance and patient outcomes. We assessed hospital-specific constructs (organizational culture and professional involvement), clinical pathway constructs (the organization of care processes for acute myocardial infarction, stroke, hip fracture and deliveries), patient-specific processes and outcomes (clinical effectiveness, patient safety and patient experience) and external constructs that could modify hospital quality (external assessment and perceived external pressure). Data was gathered from 188 hospitals in 7 participating countries. The overall participation and response rate were between 75% and 100% for the assessed measures. This is the first study assessing relation between quality management and patient outcomes at EU level. The study involved a large number of respondents and achieved high response rates. This work will serve to develop guidance in how to assess quality management and makes recommendations on the best ways to improve quality in healthcare for hospital stakeholders, payers, researchers, and policy makers throughout the EU.
Van Such, Monica B.; Nesse, Robert E.; Dilling, James A.; Swensen, Stephen J.; Thompson, Kristine M.; Orlowski, Janis M.; Santrach, Paula J.
2017-01-01
The majority of quality measures used to assess providers and hospitals are based on easily obtained data, focused on a few dimensions of quality, and developed mainly for primary/community care and population health. While this approach supports efforts focused on addressing the triple aim of health care, many current quality report cards and assessments do not reflect the breadth or complexity of many referral center practices. In this article, the authors highlight the differences between population health efforts and referral care and address issues related to value measurement and performance assessment. They discuss why measures may need to differ across the three levels of care (primary/community care, secondary care, complex care) and illustrate the need for further risk adjustment to eliminate referral bias. With continued movement toward value-based purchasing, performance measures and reimbursement schemes need to reflect the increased level of intensity required to provide complex care. The authors propose a framework to operationalize value measurement and payment for specialty care, and they make specific recommendations to improve performance measurement for complex patients. Implementing such a framework to differentiate performance measures by level of care involves coordinated efforts to change both policy and operational platforms. An essential component of this framework is a new model that defines the characteristics of patients who require complex care and standardizes metrics that incorporate those definitions. PMID:28353502
Naessens, James M; Van Such, Monica B; Nesse, Robert E; Dilling, James A; Swensen, Stephen J; Thompson, Kristine M; Orlowski, Janis M; Santrach, Paula J
2017-07-01
The majority of quality measures used to assess providers and hospitals are based on easily obtained data, focused on a few dimensions of quality, and developed mainly for primary/community care and population health. While this approach supports efforts focused on addressing the triple aim of health care, many current quality report cards and assessments do not reflect the breadth or complexity of many referral center practices.In this article, the authors highlight the differences between population health efforts and referral care and address issues related to value measurement and performance assessment. They discuss why measures may need to differ across the three levels of care (primary/community care, secondary care, complex care) and illustrate the need for further risk adjustment to eliminate referral bias.With continued movement toward value-based purchasing, performance measures and reimbursement schemes need to reflect the increased level of intensity required to provide complex care. The authors propose a framework to operationalize value measurement and payment for specialty care, and they make specific recommendations to improve performance measurement for complex patients. Implementing such a framework to differentiate performance measures by level of care involves coordinated efforts to change both policy and operational platforms. An essential component of this framework is a new model that defines the characteristics of patients who require complex care and standardizes metrics that incorporate those definitions.
De Vries, Raymond; Stanczyk, Aimee E.; Ryan, Kerry A.; Kim, Scott Y. H.
2012-01-01
The goal of democratic deliberation (DD) bioethics research is to elicit informed and considered opinions on ethically controversial issues. But the trustworthiness of DD outcomes depends on the quality of deliberations. We provide a framework to evaluate the quality of deliberations and apply that framework to a DD project on surrogate consent for dementia research involving randomly selected samples of the older general public. Using a mixed method approach, we found that participants were very satisfied with the sessions, learned and used new information, were respectful and collaborative, and were able to “reason together” to arrive at societal policy recommendations. Implications and limitations of the paper are also discussed. PMID:21931233
Walking the Talk: Continuous Improvement of a Quality Management Field Exercise
ERIC Educational Resources Information Center
Coy, Steven; Adams, Jeffery
2012-01-01
This article provides results from a three semester case study of the pedagogical efficacy of an innovative quality management field exercise. A series of direct and indirect measures were used to assess the extent to which the field exercise met a set of learning objectives. The results indicate that the assessment framework is useful in…
360-degree physician performance assessment.
Dubinsky, Isser; Jennings, Kelly; Greengarten, Moshe; Brans, Amy
2010-01-01
Few jurisdictions have a robust common approach to assessing the quantitative and qualitative dimensions of physician performance. In this article, we examine the need for 360-degree physician performance assessment and review the literature supporting comprehensive physician assessment. An evidence-based, "best practice" approach to the development of a 360-degree physician performance assessment framework is presented, including an overview of a tool kit to support implementation. The focus of the framework is to support physician career planning and to enhance the quality of patient care. Finally, the legal considerations related to implementing 360-degree physician performance assessment are explored.
Understanding human quality judgment in assessing online forum contents for thread retrieval purpose
NASA Astrophysics Data System (ADS)
Ismail, Zuriati; Salim, Naomie; Huspi, Sharin Hazlin
2017-10-01
Compared to traditional materials or journals, user-generated contents are not peer-reviewed. Lack of quality control and the explosive growth of web contents make the task of finding quality information on the web especially critical. The existence of new facilities for producing web contents such as forum makes this issue more significant. This study focuses on online forums threads or discussion, where the forums contain valuable human-generated information in a form of discussions. Due to the unique structure of the online forum pages, special techniques are required to organize and search for information in these forums. Quality biased retrieval is a retrieval approach that search for relevant document and prioritized higher quality documents. Despite major concern of quality content and recent development of quality biased retrieval, there is an urgent need to understand how quality content is being judged, for retrieval and performance evaluation purposes. Furthermore, even though there are various studies on the quality of information, there is no standard framework that has been established. The primary aim of this paper is to contribute to the understanding of human quality judgment in assessing online forum contents. The foundation of this study is to compare and evaluate different frameworks (for quality biased retrieval and information quality). This led to the finding that many quality dimensions are redundant and some dimensions are understood differently between different studies. We conducted a survey on crowdsourcing community to measure the importance of each quality dimensions found in various frameworks. Accuracy and ease of understanding are among top important dimensions while threads popularity and contents manipulability are among least important dimensions. This finding is beneficial in evaluating contents of online forum.
Quality of Life for Marines at Camp Pendleton
1995-12-01
A comprehensive assessment of Quality of Life (QOL) in the Marine Corps, using a life domain framework, in which were included the domains of...other relatives, income/standard of living, job, and self, was conducted in 1993. This report focuses on data for Camp Pendleton only. Global quality of life was
Quality of Life for Marines at Camp Lejeune.
1996-02-01
A comprehensive assessment of Quality of Life (QOL) in the Marine Corps, using a life domain framework, in which were included the domains of...other relatives, income/standard of living, job, and self, was conducted in 1993. This report focuses on data for Camp Lejeune only. Global quality of life was
Quality of Life for Marines at COMCABEAST.
1996-03-01
A comprehensive assessment of Quality of Life (QOL) in the Marine Corps, using a life domain framework, in which were included the domains of...other relatives, income/standard of living, job, and self, was conducted in 1993. This report focuses on data for COMCABEAST only. Global quality of life was
Quality of Life for Marines on Okinawa.
1996-03-01
A comprehensive assessment of Quality of Life (QOL) in the Marine Corps, using a life domain framework, in which were included the domains of...other relatives, income/standard of living, job, and self, was conducted in 1993. This report focuses on data for Okinawa only. Global quality of life was
Quality of Life for Marines at COMCABWEST.
1996-03-01
A comprehensive assessment of Quality of Life (QOL) in the Marine Corps, using a life domain framework, in which were included the domains of...other relatives, income/standard of living, job, and self, was conducted in 1993. This report focuses on data for COMCABWEST only. Global quality of life was
Mitchell, Erica L; Lee, Dae Y; Arora, Sonal; Kenney-Moore, Pat; Liem, Timothy K; Landry, Gregory J; Moneta, Gregory L; Sevdalis, Nick
2013-06-01
Surgical morbidity and mortality conferences (M&MCs) provide surgeons with an opportunity to confront medical errors, discuss adverse events, and learn from their mistakes. Yet, no standardized format for these conferences exists. The authors hypothesized that introducing a standardized presentation format using a validated framework would improve presentation quality and educational outcomes for all attendees. Following a review of the literature and the solicitation of experts' opinions, the authors adapted a validated communication tool-the SBAR (Situation, Background, Assessment, Recommendations) framework. In 2010, they then introduced this novel standardized presentation format into the surgical M&MCs at the Oregon Health & Science University. The authors assessed three outcome measures--user satisfaction, presentation quality, and education outcomes--before and after implementation of their standardized presentation format. Over the six-month study period, residents delivered 66 presentations to 197 faculty, resident, and medical student attendees. Attendees' performance on the multiple-choice questionnaires improved after the intervention, indicating an improvement in their knowledge. Presentation quality also improved significantly after the intervention, according to evaluations by trained faculty assessors. They noted specific improvements in the quality of the Background, Assessment, and Recommendation sections. The M&MC plays a pivotal role in educating residents and improving patient safety. Standardizing the M&MC presentation format using an adapted SBAR framework improved the quality of residents' presentations and attendees' educational outcomes. The authors recommend using such a standardized presentation format to enhance the educational value of M&MCs, with the goal of improving surgeons' knowledge, skills, and patient care practices.
Development of risk-based air quality management strategies under impacts of climate change.
Liao, Kuo-Jen; Amar, Praveen; Tagaris, Efthimios; Russell, Armistead G
2012-05-01
Climate change is forecast to adversely affect air quality through perturbations in meteorological conditions, photochemical reactions, and precursor emissions. To protect the environment and human health from air pollution, there is an increasing recognition of the necessity of developing effective air quality management strategies under the impacts of climate change. This paper presents a framework for developing risk-based air quality management strategies that can help policy makers improve their decision-making processes in response to current and future climate change about 30-50 years from now. Development of air quality management strategies under the impacts of climate change is fundamentally a risk assessment and risk management process involving four steps: (1) assessment of the impacts of climate change and associated uncertainties; (2) determination of air quality targets; (3) selections of potential air quality management options; and (4) identification of preferred air quality management strategies that minimize control costs, maximize benefits, or limit the adverse effects of climate change on air quality when considering the scarcity of resources. The main challenge relates to the level of uncertainties associated with climate change forecasts and advancements in future control measures, since they will significantly affect the risk assessment results and development of effective air quality management plans. The concept presented in this paper can help decision makers make appropriate responses to climate change, since it provides an integrated approach for climate risk assessment and management when developing air quality management strategies. Development of climate-responsive air quality management strategies is fundamentally a risk assessment and risk management process. The risk assessment process includes quantification of climate change impacts on air quality and associated uncertainties. Risk management for air quality under the impacts of climate change includes determination of air quality targets, selections of potential management options, and identification of effective air quality management strategies through decision-making models. The risk-based decision-making framework can also be applied to develop climate-responsive management strategies for the other environmental dimensions and assess costs and benefits of future environmental management policies.
Venkataraman, Vinay; Turaga, Pavan; Baran, Michael; Lehrer, Nicole; Du, Tingfang; Cheng, Long; Rikakis, Thanassis; Wolf, Steven L.
2016-01-01
In this paper, we propose a general framework for tuning component-level kinematic features using therapists’ overall impressions of movement quality, in the context of a Home-based Adaptive Mixed Reality Rehabilitation (HAMRR) system. We propose a linear combination of non-linear kinematic features to model wrist movement, and propose an approach to learn feature thresholds and weights using high-level labels of overall movement quality provided by a therapist. The kinematic features are chosen such that they correlate with the quality of wrist movements to clinical assessment scores. Further, the proposed features are designed to be reliably extracted from an inexpensive and portable motion capture system using a single reflective marker on the wrist. Using a dataset collected from ten stroke survivors, we demonstrate that the framework can be reliably used for movement quality assessment in HAMRR systems. The system is currently being deployed for large-scale evaluations, and will represent an increasingly important application area of motion capture and activity analysis. PMID:25438331
The development of an evaluation framework for injury surveillance systems
Mitchell, Rebecca J; Williamson, Ann M; O'Connor, Rod
2009-01-01
Background Access to good quality information from injury surveillance is essential to develop and monitor injury prevention activities. To determine if information obtained from surveillance is of high quality, the limitations and strengths of a surveillance system are often examined. Guidelines have been developed to assist in evaluating certain types of surveillance systems. However, to date, no standard guidelines have been developed to specifically evaluate an injury surveillance system. The aim of this research is to develop a framework to guide the evaluation of injury surveillance systems. Methods The development of an Evaluation Framework for Injury Surveillance Systems (EFISS) involved a four stage process. First, a literature review was conducted to identify an initial set of characteristics that were recognised as important and/or had been recommended to be assessed in an evaluation of a surveillance system. Second, this set of characteristics was assessed using SMART criteria. Third, those surviving were presented to an expert panel using a two round modified-Delphi study to gain an alternative perspective on characteristic definitions, practicality of assessment, and characteristic importance. Finally, a rating system was created for the EFISS characteristics. Results The resulting EFISS consisted of 18 characteristics that assess three areas of an injury surveillance system – five characteristics assess data quality, nine characteristics assess the system's operation, and four characteristics assess the practical capability of an injury surveillance system. A rating system assesses the performance of each characteristic. Conclusion The development of the EFISS builds upon existing evaluation guidelines for surveillance systems and provides a framework tailored to evaluate an injury surveillance system. Ultimately, information obtained through an evaluation of an injury data collection using the EFISS would be useful for agencies to recommend how a collection could be improved to increase its usefulness for injury surveillance and in the long-term injury prevention. PMID:19627617
Framework development for the assessment of interprofessional teamwork in mental health settings.
Tomizawa, Ryoko; Shigeta, Masahiro; Reeves, Scott
2017-01-01
In mental health settings, interprofessional practice is regarded as a comprehensive approach to prevent relapse and manage chronic conditions with practice of various teamwork interventions. To reinforce the potential of interprofessional teamwork, it is recommended that theories or conceptual frameworks be employed. There continues, however, to be a limited use of such approaches that assess the quality of interprofessional teamwork in mental health settings. This article aimed to present a new conceptual framework for the assessment of interprofessional teamwork based on the findings of a scoping review of the literature. This review was undertaken to identify conceptual frameworks utilised in interprofessional teamwork in mental health settings. After reviewing 952 articles, the methodological characteristics extracted from 12 articles were considered. The included studies were synthesised into the Donabedian structure-process-outcome model. The findings revealed that structural issues comprised three elements: professional characteristics, client-care characteristics, and contextual characteristics in organisations. Process issues comprised two elements: team mechanisms and community-oriented services. Finally, outcome issues comprised the following elements: clients' outcomes and professionals' outcomes. The review findings suggested possibilities for further development of how to assess the quality of interprofessional teamwork and provided information about what specific approach is required to improve interprofessional teamwork. Future research should utilise various areas and cultures to clarify the adaptation potential.
LeRouge, Cynthia; Smith, K Jody; De Leo, Gianluca
2017-01-01
Background Today’s health care environment encourages health care consumers to take an active role in managing their health. As digital natives, young educated adults do much of their health information management through the Internet and consider it a valid source of health advice. However, the quality of information on health websites is highly variable and dynamic. Little is known about the understandings and perceptions that young educated adults have garnered on the quality of information on health websites used for health care–related purposes. Objective To fill this gap, the aim of this study was to develop a conceptual framework of health website information quality with quality dimensions (ie, criteria) and associated quality drivers (ie, attributes) specified in the context of young educated adults’ use of health websites for health care–related purposes. This aim was achieved by (1) identifying information quality dimensions of health websites from the perspective of young educated adults; (2) identifying the importance ratings of these quality dimensions; and (3) constructing a framework of health website information quality with quality dimensions and associated drivers specified in the context of young educated adults’ use of health websites for health care–related purposes. Methods The study employed both qualitative and quantitative methods. Methods included semistructured group interviews and an individual quality assessment exercise grounded in visiting various websites and responding to Likert scale questions regarding the importance ratings of information quality dimensions and open-ended questions with specifying website quality drivers. Study participants included junior and senior undergraduate and graduate students in business, allied health, and public health majors. Qualitative, open-coding procedures were used to develop the conceptual framework reflecting the participants’ means of assessing information quality on health websites. Results Five dimensions of information quality for health websites were identified: Completeness of information, Understandability of information, Relevance of information, Depth of information, and Accuracy of information. Completeness of information and Understandability of information were rated as the two most important quality dimensions by the study participants. Results indicated that these five information quality dimensions for health websites were supported by the following main driver themes: Content, Design, Links, Consumer resources, Search functionality, Supporting references, User focus, Content FAQ, Open access, Policy statements, and Site performance. Conclusions This study contributes to the literature by developing a health website information quality conceptual framework with quality dimensions and associated drivers specified for a young educated adult population. The detailed quality drivers supporting the corresponding quality dimensions provide a rich picture of young educated adults’ perceptions on health website information quality. This framework can be used to guide the development of health websites, as well as the foundation for a means to evaluate health information from existing health websites with young educated adults as the target audience. PMID:28986336
Tao, Donghua; LeRouge, Cynthia; Smith, K Jody; De Leo, Gianluca
2017-10-06
Today's health care environment encourages health care consumers to take an active role in managing their health. As digital natives, young educated adults do much of their health information management through the Internet and consider it a valid source of health advice. However, the quality of information on health websites is highly variable and dynamic. Little is known about the understandings and perceptions that young educated adults have garnered on the quality of information on health websites used for health care-related purposes. To fill this gap, the aim of this study was to develop a conceptual framework of health website information quality with quality dimensions (ie, criteria) and associated quality drivers (ie, attributes) specified in the context of young educated adults' use of health websites for health care-related purposes. This aim was achieved by (1) identifying information quality dimensions of health websites from the perspective of young educated adults; (2) identifying the importance ratings of these quality dimensions; and (3) constructing a framework of health website information quality with quality dimensions and associated drivers specified in the context of young educated adults' use of health websites for health care-related purposes. The study employed both qualitative and quantitative methods. Methods included semistructured group interviews and an individual quality assessment exercise grounded in visiting various websites and responding to Likert scale questions regarding the importance ratings of information quality dimensions and open-ended questions with specifying website quality drivers. Study participants included junior and senior undergraduate and graduate students in business, allied health, and public health majors. Qualitative, open-coding procedures were used to develop the conceptual framework reflecting the participants' means of assessing information quality on health websites. Five dimensions of information quality for health websites were identified: Completeness of information, Understandability of information, Relevance of information, Depth of information, and Accuracy of information. Completeness of information and Understandability of information were rated as the two most important quality dimensions by the study participants. Results indicated that these five information quality dimensions for health websites were supported by the following main driver themes: Content, Design, Links, Consumer resources, Search functionality, Supporting references, User focus, Content FAQ, Open access, Policy statements, and Site performance. This study contributes to the literature by developing a health website information quality conceptual framework with quality dimensions and associated drivers specified for a young educated adult population. The detailed quality drivers supporting the corresponding quality dimensions provide a rich picture of young educated adults' perceptions on health website information quality. This framework can be used to guide the development of health websites, as well as the foundation for a means to evaluate health information from existing health websites with young educated adults as the target audience. ©Donghua Tao, Cynthia LeRouge, K Jody Smith, Gianluca De Leo. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 06.10.2017.
Frameworks for Assessing the Quality of Modeling and Simulation Capabilities
NASA Astrophysics Data System (ADS)
Rider, W. J.
2012-12-01
The importance of assuring quality in modeling and simulation has spawned several frameworks for structuring the examination of quality. The format and content of these frameworks provides an emphasis, completeness and flow to assessment activities. I will examine four frameworks that have been developed and describe how they can be improved and applied to a broader set of high consequence applications. Perhaps the first of these frameworks was known as CSAU [Boyack] (code scaling, applicability and uncertainty) used for nuclear reactor safety and endorsed the United States' Nuclear Regulatory Commission (USNRC). This framework was shaped by nuclear safety practice, and the practical structure needed after the Three Mile Island accident. It incorporated the dominant experimental program, the dominant analysis approach, and concerns about the quality of modeling. The USNRC gave it the force of law that made the nuclear industry take it seriously. After the cessation of nuclear weapons' testing the United States began a program of examining the reliability of these weapons without testing. This program utilizes science including theory, modeling, simulation and experimentation to replace the underground testing. The emphasis on modeling and simulation necessitated attention on the quality of these simulations. Sandia developed the PCMM (predictive capability maturity model) to structure this attention [Oberkampf]. PCMM divides simulation into six core activities to be examined and graded relative to the needs of the modeling activity. NASA [NASA] has built yet another framework in response to the tragedy of the space shuttle accidents. Finally, Ben-Haim and Hemez focus upon modeling robustness and predictive fidelity in another approach. These frameworks are similar, and applied in a similar fashion. The adoption of these frameworks at Sandia and NASA has been slow and arduous because the force of law has not assisted acceptance. All existing frameworks are incomplete and need to be extended incorporating elements from the other as well as new elements related to how models are solved, and how the model will be applied. I will describe this merger of approach and how it should be applied. The problems in adoption are related to basic human nature in that no one likes to be graded, or told they are not sufficiently quality oriented. Rather than engage in an adversarial role, I suggest that the frameworks be viewed as a collaborative tool. Instead these frameworks should be used to structure collaborations that can be used to assist the modeling and simulation efforts to be high quality. The framework provides a comprehensive setting of modeling and simulation themes that should be explored in providing high quality. W. Oberkampf, M. Pilch, and T. Trucano, Predictive Capability Maturity Model for Computational Modeling and Simulation, SAND2007-5948, 2007. B. Boyack, Quantifying Reactor Safety Margins Part 1: An Overview of the Code Scaling, Applicability, and Uncertainty Evaluation Methodology, Nuc. Eng. Design, 119, pp. 1-15, 1990. National Aeronautics and Space Administration, STANDARD FOR MODELS AND SIMULATIONS, NASA-STD-7009, 2008. Y. Ben-Haim and F. Hemez, Robustness, fidelity and prediction-looseness of models, Proc. R. Soc. A (2012) 468, 227-244.
Analytic Frameworks for Assessing Dialogic Argumentation in Online Learning Environments
ERIC Educational Resources Information Center
Clark, Douglas B; Sampson, Victor; Weinberger, Armin; Erkens, Gijsbert
2007-01-01
Over the last decade, researchers have developed sophisticated online learning environments to support students engaging in dialogic argumentation. This review examines five categories of analytic frameworks for measuring participant interactions within these environments focusing on (1) formal argumentation structure, (2) conceptual quality, (3)…
Hotchkiss, David R; Aqil, Anwer; Lippeveld, Theo; Mukooyo, Edward
2010-07-03
Sound policy, resource allocation and day-to-day management decisions in the health sector require timely information from routine health information systems (RHIS). In most low- and middle-income countries, the RHIS is viewed as being inadequate in providing quality data and continuous information that can be used to help improve health system performance. In addition, there is limited evidence on the effectiveness of RHIS strengthening interventions in improving data quality and use. The purpose of this study is to evaluate the usefulness of the newly developed Performance of Routine Information System Management (PRISM) framework, which consists of a conceptual framework and associated data collection and analysis tools to assess, design, strengthen and evaluate RHIS. The specific objectives of the study are: a) to assess the reliability and validity of the PRISM instruments and b) to assess the validity of the PRISM conceptual framework. Facility- and worker-level data were collected from 110 health care facilities in twelve districts in Uganda in 2004 and 2007 using records reviews, structured interviews and self-administered questionnaires. The analysis procedures include Cronbach's alpha to assess internal consistency of selected instruments, test-retest analysis to assess the reliability and sensitivity of the instruments, and bivariate and multivariate statistical techniques to assess validity of the PRISM instruments and conceptual framework. Cronbach's alpha analysis suggests high reliability (0.7 or greater) for the indices measuring a promotion of a culture of information, RHIS tasks self-efficacy and motivation. The study results also suggest that a promotion of a culture of information influences RHIS tasks self-efficacy, RHIS tasks competence and motivation, and that self-efficacy and the presence of RHIS staff have a direct influence on the use of RHIS information, a key aspect of RHIS performance. The study results provide some empirical support for the reliability and validity of the PRISM instruments and the validity of the PRISM conceptual framework, suggesting that the PRISM approach can be effectively used by RHIS policy makers and practitioners to assess the RHIS and evaluate RHIS strengthening interventions. However, additional studies with larger sample sizes are needed to further investigate the value of the PRISM instruments in exploring the linkages between RHIS data quality and use, and health systems performance.
Bereskie, Ty; Haider, Husnain; Rodriguez, Manuel J; Sadiq, Rehan
2017-08-23
Traditional approaches for benchmarking drinking water systems are binary, based solely on the compliance and/or non-compliance of one or more water quality performance indicators against defined regulatory guidelines/standards. The consequence of water quality failure is dependent on location within a water supply system as well as time of the year (i.e., season) with varying levels of water consumption. Conventional approaches used for water quality comparison purposes fail to incorporate spatiotemporal variability and degrees of compliance and/or non-compliance. This can lead to misleading or inaccurate performance assessment data used in the performance benchmarking process. In this research, a hierarchical risk-based water quality performance benchmarking framework is proposed to evaluate small drinking water systems (SDWSs) through cross-comparison amongst similar systems. The proposed framework (R WQI framework) is designed to quantify consequence associated with seasonal and location-specific water quality issues in a given drinking water supply system to facilitate more efficient decision-making for SDWSs striving for continuous performance improvement. Fuzzy rule-based modelling is used to address imprecision associated with measuring performance based on singular water quality guidelines/standards and the uncertainties present in SDWS operations and monitoring. This proposed R WQI framework has been demonstrated using data collected from 16 SDWSs in Newfoundland and Labrador and Quebec, Canada, and compared to the Canadian Council of Ministers of the Environment WQI, a traditional, guidelines/standard-based approach. The study found that the R WQI framework provides an in-depth state of water quality and benchmarks SDWSs more rationally based on the frequency of occurrence and consequence of failure events.
Partnerships in Assessment: Auspicing in Action.
ERIC Educational Resources Information Center
Bateman, Andrea; Clayton, Berwyn
Auspicing in Australia's vocational education and training (VET) sector involves organizations entering into partnerships with registered training organizations (RTOs) to have the training and assessment they undertake recognized under the National Training Framework. RTOs bear responsibility for assuring the quality of the assessments conducted…
Why Is It Difficult to Grasp the Impacts of the Portuguese Quality Assurance System?
ERIC Educational Resources Information Center
Veiga, Amélia; Rosa, Maria João; Dias, Diana; Amaral, Alberto
2013-01-01
This article analyses the impacts of the Portuguese quality assurance system on academic cultures, using the Cultural Theory proposed by Douglas (1970, 1982) and developed by Thompson, Ellis and Wildavsky (1990) as an explanatory framework for Portuguese academics' preference formation in relation to quality assessment. The Portuguese higher…
The Accountability Dimension in Quality Assurance: An International Comparison
ERIC Educational Resources Information Center
Stensaker, Bjorn; Harvey, Lee
2013-01-01
The paper reports from a comparative study on systems of quality assurance in 19 countries around the globe, and how these systems function as accountability mechanisms. Based on a theoretical framework for assessing how accountability mechanisms can contribute to build trust in the higher education sector, the analysis of the quality assurance…
A Strategic Quality Assurance Framework in an African Higher Education Context
ERIC Educational Resources Information Center
Ansah, Francis
2015-01-01
This study is based on a pragmatist analysis of selected international accounts on quality assurance in higher education. A pragmatist perspective was used to conceptualise a logical internal quality assurance model to embed and support the alignment of graduate competencies in curriculum and assessment of Ghanaian polytechnics. Through focus…
Leadership qualities framework provides a useful tool for nurses.
Guelbert, Catherine
2003-11-01
Good leadership can be difficult to define, but it is vital to inspiring staff to improve services. A framework has been developed to enable NHS leaders at all levels to assess their strengths and identify their development needs. It is applicable to leadership roles at any level, including nurses.
Quality and the Rise of Value-Added in Education: The Case of Ireland
ERIC Educational Resources Information Center
Brown, Martin; McNamara, Gerry; O'Hara, Joe
2016-01-01
This paper examines the rise of value-added as a measure of quality in education. As a point of departure, the paper begins with an analysis of the rise of the concept of quality in education and discusses how, at times, various contradictory determinants of quality have managed to influence the evaluation and assessment frameworks of most…
Effect of soil in nutrient cycle assessment at dairy farms
NASA Astrophysics Data System (ADS)
van Leeuwen, Maricke; de Boer, Imke; van Dam, Jos; van Middelaar, Corina; Stoof, Cathelijne
2016-04-01
Annual farm nutrient cycle assessments give valuable insight in the nutrient cycles and nutrient losses at dairy farms. It describes nutrient use efficiencies for the entire farm and for the underlying components cattle, manure, crops and soil. In many modelling studies, soil is kept as a constant factor, while soil quality is vital for soil functioning of the ecosystem. Improving soil quality will improve the nutrient cycle, and will also have positive effect on the soil functions crop production, water cycling and greenhouse gas mitigation. Spatial variation of soil properties within a farm, however, are not included in annual nutrient cycle assessments. Therefore it is impossible to identify fields where most profit can be gained by improving farm management at field level, and it is not possible to identify and to quantify nutrient flow path ways. The aim of this study is to develop a framework to improve the annual nutrient cycle assessment at Dutch dairy farms, by including soil properties and their spatial variation within farms. Soil type and soil quality will be described by visual soil assessment of soil quality characteristics. The visual observations will be linked to the nutrient cycle assessment, using soil-hydrological model SWAP. We will demonstrate how soil quality at field level can impact on crop production, eutrophication potential and greenhouse gas potential at farm level. Also, we will show how this framework can be used by farmers to improve their farm management. This new approach is focusing on annual nutrient cycle assessment, but could also be used in life cycle assessment. It will improve understanding of soil functioning and dairy farm management.
Kunz, Sarah N; McAdams, Ryan M; Diekema, Douglas S; Opel, Douglas J
2015-01-01
Parental refusal of a recommended treatment is not an uncommon scenario in the neonatal intensive care unit. These refusals may be based upon the parents' perceptions of their child's projected quality of life. The inherent subjectivity of quality of life assessments, however, can exacerbate disagreement between parents and healthcare providers. We present a case of parental refusal of surgical intervention for necrotizing enterocolitis in an infant with Bartter syndrome and develop an ethical framework in which to consider the appropriateness of parental refusal based upon an infant's projected quality of life. Copyright 2015 The Journal of Clinical Ethics. All rights reserved.
Choueri, R B; Cesar, A; Abessa, D M S; Torres, R J; Riba, I; Pereira, C D S; Nascimento, M R L; Morais, R D; Mozeto, A A; DelValls, T A
2010-04-01
This paper presents a harmonised framework of sediment quality assessment and dredging material characterisation for estuaries and port zones of North and South Atlantic. This framework, based on the weight-of-evidence approach, provides a structure and a process for conducting sediment/dredging material assessment that leads to a decision. The main structure consists of "step 1" (examination of available data); "step 2" (chemical characterisation and toxicity assessment); "decision 1" (any chemical level higher than reference values? are sediments toxic?); "step 3" (assessment of benthic community structure); "step 4" (integration of the results); "decision 2" (are sediments toxic or benthic community impaired?); "step 5" (construction of the decision matrix) and "decision 3" (is there environmental risk?). The sequence of assessments may be interrupted when the information obtained is judged to be sufficient for a correct characterisation of the risk posed by the sediments/dredging material. This framework brought novel features compared to other sediment/dredging material risk assessment frameworks: data integration through multivariate analysis allows the identification of which samples are toxic and/or related to impaired benthic communities; it also discriminates the chemicals responsible for negative biological effects; and the framework dispenses the use of a reference area. We demonstrated the successful application of this framework in different port and estuarine zones of the North (Gulf of Cádiz) and South Atlantic (Santos and Paranaguá Estuarine Systems).
ORD Human Health Risk Assessment (HHRA) Research Program Mid-Cycle Progress Report and Review - 2010
The principal charge to the BOSC reviewers was to evaluate ORD’s HHRA Program from a program assessment framework relative to program relevance, structure, performance, quality, leadership, communication, and outcomes.
An empirical assessment of high-performing medical groups: results from a national study.
Shortell, Stephen M; Schmittdiel, Julie; Wang, Margaret C; Li, Rui; Gillies, Robin R; Casalino, Lawrence P; Bodenheimer, Thomas; Rundall, Thomas G
2005-08-01
The performance of medical groups is receiving increased attention. Relatively little conceptual or empirical work exists that examines the various dimensions of medical group performance. Using a national database of 693 medical groups, this article develops a scorecard approach to assessing group performance and presents a theory-driven framework for differentiating between high-performing versus low-performing medical groups. The clinical quality of care, financial performance, and organizational learning capability of medical groups are assessed in relation to environmental forces, resource acquisition and resource deployment factors, and a quality-centered culture. Findings support the utility of the performance scorecard approach and identification of a number of key factors differentiating high-performing from low-performing groups including, in particular, the importance of a quality-centered culture and the requirement of outside reporting from third party organizations. The findings hold a number of important implications for policy and practice, and the framework presented provides a foundation for future research.
Helfrich, Christian D; Li, Yu-Fang; Sharp, Nancy D; Sales, Anne E
2009-01-01
Background The Promoting Action on Research Implementation in Health Services, or PARIHS, framework is a theoretical framework widely promoted as a guide to implement evidence-based clinical practices. However, it has as yet no pool of validated measurement instruments that operationalize the constructs defined in the framework. The present article introduces an Organizational Readiness to Change Assessment instrument (ORCA), organized according to the core elements and sub-elements of the PARIHS framework, and reports on initial validation. Methods We conducted scale reliability and factor analyses on cross-sectional, secondary data from three quality improvement projects (n = 80) conducted in the Veterans Health Administration. In each project, identical 77-item ORCA instruments were administered to one or more staff from each facility involved in quality improvement projects. Items were organized into 19 subscales and three primary scales corresponding to the core elements of the PARIHS framework: (1) Strength and extent of evidence for the clinical practice changes represented by the QI program, assessed with four subscales, (2) Quality of the organizational context for the QI program, assessed with six subscales, and (3) Capacity for internal facilitation of the QI program, assessed with nine subscales. Results Cronbach's alpha for scale reliability were 0.74, 0.85 and 0.95 for the evidence, context and facilitation scales, respectively. The evidence scale and its three constituent subscales failed to meet the conventional threshold of 0.80 for reliability, and three individual items were eliminated from evidence subscales following reliability testing. In exploratory factor analysis, three factors were retained. Seven of the nine facilitation subscales loaded onto the first factor; five of the six context subscales loaded onto the second factor; and the three evidence subscales loaded on the third factor. Two subscales failed to load significantly on any factor. One measured resources in general (from the context scale), and one clinical champion role (from the facilitation scale). Conclusion We find general support for the reliability and factor structure of the ORCA. However, there was poor reliability among measures of evidence, and factor analysis results for measures of general resources and clinical champion role did not conform to the PARIHS framework. Additional validation is needed, including criterion validation. PMID:19594942
Helfrich, Christian D; Li, Yu-Fang; Sharp, Nancy D; Sales, Anne E
2009-07-14
The Promoting Action on Research Implementation in Health Services, or PARIHS, framework is a theoretical framework widely promoted as a guide to implement evidence-based clinical practices. However, it has as yet no pool of validated measurement instruments that operationalize the constructs defined in the framework. The present article introduces an Organizational Readiness to Change Assessment instrument (ORCA), organized according to the core elements and sub-elements of the PARIHS framework, and reports on initial validation. We conducted scale reliability and factor analyses on cross-sectional, secondary data from three quality improvement projects (n = 80) conducted in the Veterans Health Administration. In each project, identical 77-item ORCA instruments were administered to one or more staff from each facility involved in quality improvement projects. Items were organized into 19 subscales and three primary scales corresponding to the core elements of the PARIHS framework: (1) Strength and extent of evidence for the clinical practice changes represented by the QI program, assessed with four subscales, (2) Quality of the organizational context for the QI program, assessed with six subscales, and (3) Capacity for internal facilitation of the QI program, assessed with nine subscales. Cronbach's alpha for scale reliability were 0.74, 0.85 and 0.95 for the evidence, context and facilitation scales, respectively. The evidence scale and its three constituent subscales failed to meet the conventional threshold of 0.80 for reliability, and three individual items were eliminated from evidence subscales following reliability testing. In exploratory factor analysis, three factors were retained. Seven of the nine facilitation subscales loaded onto the first factor; five of the six context subscales loaded onto the second factor; and the three evidence subscales loaded on the third factor. Two subscales failed to load significantly on any factor. One measured resources in general (from the context scale), and one clinical champion role (from the facilitation scale). We find general support for the reliability and factor structure of the ORCA. However, there was poor reliability among measures of evidence, and factor analysis results for measures of general resources and clinical champion role did not conform to the PARIHS framework. Additional validation is needed, including criterion validation.
Video quality assessment using a statistical model of human visual speed perception.
Wang, Zhou; Li, Qiang
2007-12-01
Motion is one of the most important types of information contained in natural video, but direct use of motion information in the design of video quality assessment algorithms has not been deeply investigated. Here we propose to incorporate a recent model of human visual speed perception [Nat. Neurosci. 9, 578 (2006)] and model visual perception in an information communication framework. This allows us to estimate both the motion information content and the perceptual uncertainty in video signals. Improved video quality assessment algorithms are obtained by incorporating the model as spatiotemporal weighting factors, where the weight increases with the information content and decreases with the perceptual uncertainty. Consistent improvement over existing video quality assessment algorithms is observed in our validation with the video quality experts group Phase I test data set.
ERIC Educational Resources Information Center
Stensaker, Bjørn; Leiber, Theodor
2015-01-01
The aim of the article is to provide a framework in which the organisational impact of external quality assurance (EQA) can be assessed. Based on existing studies of the impact of EQA in universities and colleges it is suggested that greater systematisation of how impact is measured is needed for a better understanding of how EQA can be used as a…
Sandoval, Guillermo A; Brown, Adalsteinn D; Wodchis, Walter P; Anderson, Geoffrey M
2018-05-17
Measuring the value of medical imaging is challenging, in part, due to the lack of conceptual frameworks underlying potential mechanisms where value may be assessed. To address this gap, this article proposes a framework that builds on the large body of literature on quality of hospital care and the classic structure-process-outcome paradigm. The framework was also informed by the literature on adoption of technological innovations and introduces 2 distinct though related aspects of imaging technology not previously addressed specifically in the literature on quality of hospital care: adoption (a structural hospital characteristic) and use (an attribute of the process of care). The framework hypothesizes a 2-part causality where adoption is proposed to be a central, linking factor between hospital structural characteristics, market factors, and hospital outcomes (ie, quality and efficiency). The first part indicates that hospital structural characteristics and market factors influence or facilitate the adoption of high technology medical imaging within an institution. The presence of this technology, in turn, is hypothesized to improve the ability of the hospital to deliver high quality and efficient care. The second part describes this ability throughout 3 main mechanisms pointing to the importance of imaging use on patients, to the presence of staff and qualified care providers, and to some elements of organizational capacity capturing an enhanced clinical environment. The framework has the potential to assist empirical investigations of the value of adoption and use of medical imaging, and to advance understanding of the mechanisms that produce quality and efficiency in hospitals. Copyright © 2018 John Wiley & Sons, Ltd.
Hirsh, Di; Clerehan, Rosemary; Staples, Margaret; Osborne, Richard H; Buchbinder, Rachelle
2009-11-01
To obtain patient feedback about the structure and quality of medication information leaflets and validate the usefulness of the Evaluative Linguistic Framework (ELF) for improving written communication with patients. Triangulated feedback about a set of rheumatoid arthritis (RA) medication leaflets, some developed with knowledge of the ELF, was obtained from 27 people with RA from interviews, focus group discussion and self-administered questionnaires. The principal elements of the framework were investigated: overall generic structure and functions of each stage, interpersonal relationship between writer and reader, technicality of language and density of information. Participant assessments of the leaflets aligned with the framework in terms of what constituted a good leaflet. While the main purpose of the leaflets was identified as being information provision, participants also wanted clear instructions, benefits to be highlighted and side effects to be comprehensively listed. For comprehensiveness and user-friendliness, leaflets developed with guidance of the ELF were consistently preferred. According to people with RA, leaflets generated from a linguistic framework are clearer and more effective in communicating information about medications. The ELF is a user-friendly, structured analytic system that can assist with the development of effective high quality patient information materials.
Owens, Elizabeth Oesterling; Patel, Molini M; Kirrane, Ellen; Long, Thomas C; Brown, James; Cote, Ila; Ross, Mary A; Dutton, Steven J
2017-08-01
To inform regulatory decisions on the risk due to exposure to ambient air pollution, consistent and transparent communication of the scientific evidence is essential. The United States Environmental Protection Agency (U.S. EPA) develops the Integrated Science Assessment (ISA), which contains evaluations of the policy-relevant science on the effects of criteria air pollutants and conveys critical science judgments to inform decisions on the National Ambient Air Quality Standards. This article discusses the approach and causal framework used in the ISAs to evaluate and integrate various lines of scientific evidence and draw conclusions about the causal nature of air pollution-induced health effects. The framework has been applied to diverse pollutants and cancer and noncancer effects. To demonstrate its flexibility, we provide examples of causality judgments on relationships between health effects and pollutant exposures, drawing from recent ISAs for ozone, lead, carbon monoxide, and oxides of nitrogen. U.S. EPA's causal framework has increased transparency by establishing a structured process for evaluating and integrating various lines of evidence and uniform approach for determining causality. The framework brings consistency and specificity to the conclusions in the ISA, and the flexibility of the framework makes it relevant for evaluations of evidence across media and health effects. Published by Elsevier Inc.
Maxim, Laura; van der Sluijs, Jeroen P.
2014-01-01
In regulatory toxicology, quality assessment of in vivo studies is a critical step for assessing chemical risks. It is crucial for preserving public health studies that are considered suitable for regulating chemicals are robust. Current procedures for conducting quality assessments in safety agencies are not structured, clear or consistent. This leaves room for criticism about lack of transparency, subjective influence and the potential for insufficient protection provided by resulting safety standards. We propose a tool called “Qualichem in vivo” that is designed to systematically and transparently assess the quality of in vivo studies used in chemical health risk assessment. We demonstrate its use here with 12 experts, using two controversial studies on Bisphenol A (BPA) that played an important role in BPA regulation in Europe. The results obtained with Qualichem contradict the quality assessments conducted by expert committees in safety agencies for both of these studies. Furthermore, they show that reliance on standardized guidelines to ensure scientific quality is only partially justified. Qualichem allows experts with different disciplinary backgrounds and professional experiences to express their individual and sometimes divergent views—an improvement over the current way of dealing with minority opinions. It provides a transparent framework for expressing an aggregated, multi-expert level of confidence in a study, and allows a simple graphical representation of how well the study integrates the best available scientific knowledge. Qualichem can be used to compare assessments of the same study by different health agencies, increasing transparency and trust in the work of expert committees. In addition, it may be used in systematic evaluation of in vivo studies submitted by industry in the dossiers that are required for compliance with the REACH Regulation. Qualichem provides a balanced, common framework for assessing the quality of studies that may or may not be following standardized guidelines. PMID:24489958
Incorporating Risk and Indicators into a Water Security Framework
NASA Astrophysics Data System (ADS)
Allen, D. M.; Bakker, K.; Simpson, M. W.; Norman, E.; Dunn, G.
2010-12-01
The concept of water security has received growing attention over the past five years in academic debates and policy circles, particularly with respect to cumulative impacts assessment and watershed management. We propose an integrative definition for water security; one that considers both stressors and impacts (or effects) on hydrological systems. We present a water security assessment framework that considers status and risk indicators for both water quality and quantity as measures of impacts. This assessment framework also integrates the social sciences with natural science, engineering, and public health, providing opportunities to address environmental challenges, including the relationship between water and land use dynamics, the integration of aquatic ecosystem and human health concerns, and the alignment of governance with water management imperatives. We argue that this framework has the potential to advance water science, the contributing disciplines, and water policy and management.
Assessing Learning Quality: Reconciling Institutional, Staff and Educational Demands.
ERIC Educational Resources Information Center
Biggs, John
1996-01-01
Two frameworks for educational assessment distinguished, which is quantitative, adequate for construing some kinds of learning, and qualitative, which is more appropriate for most objectives in higher education. The paper argues that institutions implicitly encourage quantitative assessment, thus encouraging a surface approach to learning although…
INDOOR AIR ASSESSMENT - A REVIEW OF INDOOR AIR QUALITY RISK CHARACTERIZATION
Risk assessment methodologies provide a mechanism for incorporating scientific evidence and Judgments Into the risk management decision process. isk characterization framework has been developed to provide a systematic approach for analysis and presentation of risk characterizati...
An appraisal of the quality of published qualitative dental research.
Masood, Mohd; Thaliath, Ebin T; Bower, Elizabeth J; Newton, J Timothy
2011-06-01
To appraise the quality of published qualitative research in dentistry and identify aspects of quality, which require attention in future research. Qualitative research studies on dental topics were appraised using the critical appraisal skills programme (CASP) appraisal framework for qualitative research. The percentage of CASP criteria fully met during the assessment was used as an indication of the quality of each paper. Individual criteria were not weighted. Forty-three qualitative studies were identified for appraisal of which 48% had a dental public health focus. Deficiencies in detail of reporting, research design, methodological rigour, presentation of findings, reflexivity, credibility of findings and relevance of study were identified. Problems with quality were apparent irrespective of journal impact factor, although papers from low impact factor journals exhibited the most deficiencies. Journals with the highest impact factors published the least qualitative research. The quality of much of the qualitative research published on dental topics is mediocre. Qualitative methods are underutilized in oral health research. If quality guidelines such as the CASP framework are used in the context of a thorough understanding of qualitative research design and data analysis, they can promote good practice and the systematic assessment of qualitative research. © 2010 John Wiley & Sons A/S.
Estimation of Effect Thresholds for the Development of Water Quality Criteria
Biological and ecological effect thresholds can be used for determining safe levels of nontraditional stressors. The U.S. EPA Framework for Developing Suspended and Bedded Sediments (SABS) Water Quality Criteria (WQC) [36] uses a risk assessment approach to estimate effect thre...
Children's Perceptions of the Qualities of Sibling Relationships.
ERIC Educational Resources Information Center
Furman, Wyndol; Buhrmester, Duane
1985-01-01
Developed a framework for describing and assessing the qualities of sibling relationships by interviewing upper elementary school children and administering a self-report questionnaire to fifth- and sixth-grade children. Component analysis yielded four underlying factors: warmth/closeness, relative status/power, conflict, and rivalry. Relative…
Fathi, Roya; Sheehan, Orla C; Garrigues, Sarah K; Saliba, Debra; Leff, Bruce; Ritchie, Christine S
2016-08-01
The unique needs of homebound adults receiving home-based medical care (HBMC) (ie, home-based primary care and home-based palliative care services) are ideally provided by interdisciplinary care teams (IDTs) that provide coordinated care. The composition of team members from an array of organizations and the unique dimension of providing care in the home present specific challenges to timely access and communication of patient care information. The objective of this work was to develop a conceptual framework and corresponding quality indicators (QIs) that assess how IDT members for HBMC practices access and communicate key patient information with each other. A systematic review of peer-reviewed and gray literature was performed to inform a framework for care coordination in the home and the development of candidate QIs to assess processes by which all IDT members optimally access and use patient information. A technical expert panel (TEP) participated in a modified Delphi process to assess the validity and feasibility of each QI and to identify which would be most suitable for testing in the field. Thematic analysis of literature revealed 4 process themes for how HBMC practices might engage in high-quality care coordination: using electronic medical records, conducting interdisciplinary team meetings, sharing standardized patient assessments, and communicating via secure e-messaging. Based on these themes, 9 candidate QIs were developed to reflect these processes. Three candidate QIs were assessed by the TEP as valid and feasible to measure in an HBMC practice setting. These indicators focused on use of IDT meetings, standardized patient assessments, and secure e-messaging. Translating the complex issue of care coordination into QIs will improve care delivered to vulnerable home-limited adults who receive HBMC. Guided by the literature, we developed a framework to reflect optimal care coordination in the home setting and identified 3 candidate QIs to field-test in HBMC practices. Published by Elsevier Inc.
ERIC Educational Resources Information Center
Barenfanger, Olaf; Tschirner, Erwin
2008-01-01
The major goal of the Council of Europe to promote and facilitate communication and interaction among Europeans of different mother tongues has led to the development of the "Common European Framework of Reference for Languages: Learning, Teaching, Assessment" (CEFR). Among other things, the CEFR is intended to help language…
We demonstrate a spatially-explicit regional assessment of current condition of aquatic ecoservices in the Coal River Basin (CRB), with limited sensitivity analysis for the atmospheric contaminant mercury. The integrated modeling framework (IMF) forecasts water quality and quant...
ERIC Educational Resources Information Center
Elizabeth, Tracy; Ross Anderson, Trisha L.; Snow, Elana H.; Selman, Robert L.
2012-01-01
This article describes the structure of academic discussions during the implementation of a literacy curriculum in the upper elementary grades. The authors examine the quality of academic discussion, using existing discourse analysis frameworks designed to evaluate varying attributes of classroom discourse. To integrate the overlapping qualities…
Assessing Impact Submissions for REF 2014: An Evaluation
ERIC Educational Resources Information Center
Manville, Catriona; Guthrie, Susan; Henham, Marie-Louise; Garrod, Bryn; Sousa, Sonia; Kirtley, Anne; Castle-Clarke, Sophie; Ling, Tom
2015-01-01
The Research Excellence Framework (REF) is a new system for assessing the quality of research in UK higher education institutions (HEIs). For the first time, part of the assessment included the wider impact of research. RAND Europe was commissioned to evaluate the assessment process of the impact element of REF submissions, and to explore the…
Assessing Inquiry Learning: How Much Is a Cubic Metre?
ERIC Educational Resources Information Center
Fry, Kym
2014-01-01
In this article, Kym Fry uses the "Programme for International Student Assessment" (PISA) assessment framework to break down what her Year 6 students learned as they explored the inquiry question, "How much is a cubic metre?" First, an overview of the lessons in the unit is provided. Quality assessment opportunities are…
Secanell, Mariona; Groene, Oliver; Arah, Onyebuchi A.; Lopez, Maria Andrée; Kutryba, Basia; Pfaff, Holger; Klazinga, Niek; Wagner, Cordula; Kristensen, Solvejg; Bartels, Paul Daniel; Garel, Pascal; Bruneau, Charles; Escoval, Ana; França, Margarida; Mora, Nuria; Suñol, Rosa; Klazinga, N; Kringos, DS; Lopez, MA; Secanell, M; Sunol, R; Vallejo, P; Bartels, P; Kristensen, S; Michel, P; Saillour-Glenisson, F; Vlcek, F; Car, M; Jones, S; Klaus, E; Bottaro, S; Garel, P; Saluvan, M; Bruneau, C; Depaigne-Loth, A; Shaw, C; Hammer, A; Ommen, O; Pfaff, H; Groene, O; Botje, D; Wagner, C; Kutaj-Wasikowska, H; Kutryba, B; Escoval, A; Lívio, A; Eiras, M; Franca, M; Leite, I; Almeman, F; Kus, H; Ozturk, K; Mannion, R; Arah, OA; Chow, A; DerSarkissian, M; Thompson, CA; Wang, A; Thompson, A
2014-01-01
Introduction and Objective This paper provides an overview of the DUQuE (Deepening our Understanding of Quality Improvement in Europe) project, the first study across multiple countries of the European Union (EU) to assess relationships between quality management and patient outcomes at EU level. The paper describes the conceptual framework and methods applied, highlighting the novel features of this study. Design DUQuE was designed as a multi-level cross-sectional study with data collection at hospital, pathway, professional and patient level in eight countries. Setting and Participants We aimed to collect data for the assessment of hospital-wide constructs from up to 30 randomly selected hospitals in each country, and additional data at pathway and patient level in 12 of these 30. Main outcome measures A comprehensive conceptual framework was developed to account for the multiple levels that influence hospital performance and patient outcomes. We assessed hospital-specific constructs (organizational culture and professional involvement), clinical pathway constructs (the organization of care processes for acute myocardial infarction, stroke, hip fracture and deliveries), patient-specific processes and outcomes (clinical effectiveness, patient safety and patient experience) and external constructs that could modify hospital quality (external assessment and perceived external pressure). Results Data was gathered from 188 hospitals in 7 participating countries. The overall participation and response rate were between 75% and 100% for the assessed measures. Conclusions This is the first study assessing relation between quality management and patient outcomes at EU level. The study involved a large number of respondents and achieved high response rates. This work will serve to develop guidance in how to assess quality management and makes recommendations on the best ways to improve quality in healthcare for hospital stakeholders, payers, researchers, and policy makers throughout the EU. PMID:24671120
Dellefield, Mary Ellen; Corazzini, Kirsten
2015-01-01
Development of the comprehensive care plan (CCP) is a requirement for nursing homes participating in the federal Medicare and Medicaid programs, referred to as skilled nursing facilities. The plan must be developed within the context of the comprehensive interdisciplinary assessment framework—the Resident Assessment Instrument (RAI). Consistent compliance with this requirement has been difficult to achieve. To improve the quality of CCP development within this framework, an increased understanding of complex factors contributing to inconsistent compliance is required. In this commentary, we examine the history of the comprehensive care plan; its development within the RAI framework; linkages between the RAI and registered nurse staffing; empirical evidence of the CCP’s efficacy; and the limitations of extant standards of practices in CCP development. Because of the registered nurse’s educational preparation, professional practice standards, and licensure obligations, the essential contributions of professional nurses in CCP development are emphasized. Recommendations for evidence-based micro and macro level practice changes with the potential to improve the quality of CCP development and regulatory compliance are presented. Suggestions for future research are given. PMID:27417811
An adaptive framework to differentiate receiving water quality impacts on a multi-scale level.
Blumensaat, F; Tränckner, J; Helm, B; Kroll, S; Dirckx, G; Krebs, P
2013-01-01
The paradigm shift in recent years towards sustainable and coherent water resources management on a river basin scale has changed the subject of investigations to a multi-scale problem representing a great challenge for all actors participating in the management process. In this regard, planning engineers often face an inherent conflict to provide reliable decision support for complex questions with a minimum of effort. This trend inevitably increases the risk to base decisions upon uncertain and unverified conclusions. This paper proposes an adaptive framework for integral planning that combines several concepts (flow balancing, water quality monitoring, process modelling, multi-objective assessment) to systematically evaluate management strategies for water quality improvement. As key element, an S/P matrix is introduced to structure the differentiation of relevant 'pressures' in affected regions, i.e. 'spatial units', which helps in handling complexity. The framework is applied to a small, but typical, catchment in Flanders, Belgium. The application to the real-life case shows: (1) the proposed approach is adaptive, covers problems of different spatial and temporal scale, efficiently reduces complexity and finally leads to a transparent solution; and (2) water quality and emission-based performance evaluation must be done jointly as an emission-based performance improvement does not necessarily lead to an improved water quality status, and an assessment solely focusing on water quality criteria may mask non-compliance with emission-based standards. Recommendations derived from the theoretical analysis have been put into practice.
Persenius, Mona; Hall-Lord, Marie-Louise; Wilde-Larsson, Bodil; Carlsson, Eva
2015-09-01
To describe nursing leaders' perceptions of nutrition quality in Swedish stroke wards. A high risk of undernutrition places great demand on nutritional care in stroke wards. Evidence-based guidelines exist, but healthcare professionals have reported low interest in nutritional care. The Donabedian framework of structure, process and outcome is recommended to monitor and improve nutrition quality. Using a descriptive cross-sectional design, a web-based questionnaire regarding nutritional care quality was delivered to eligible participants. Most clinical nursing leaders reported structure indicators, e.g. access to dieticians. Among process indicators, regular assessment of patients' swallowing was most frequently reported in comprehensive stroke wards compared with other stroke wards. Use of outcomes to monitor nutrition quality was not routine. Wards using standard care plans showed significantly better results. Using the structure, process and outcome framework to examine nutrition quality, quality-improvement needs became visible. To provide high-quality nutrition, all three structure, process and outcome components must be addressed. The use of care pathways, standard care plans, the Senior Alert registry, as well as systematic use of outcome measures could improve nutrition quality. To assist clinical nursing leaders in managing all aspects of quality, structure, process and outcome can be a valuable framework. © 2013 John Wiley & Sons Ltd.
Framework for a ground-water quality monitoring and assessment program for California
Belitz, Kenneth; Dubrovsky, Neil M.; Burow, Karen; Jurgens, Bryant C.; John, Tyler
2003-01-01
The State of California uses more ground water than any other State in the Nation. With a population of over 30 million people, an agricultural economy based on intensive irrigation, large urban industrial areas, and naturally elevated concentrations of some trace elements, there is a wide range of contaminant sources that have the potential to contaminate ground water and limit its beneficial uses. In response to the many-and different-potential sources of ground-water contamination, the State of California has evolved an extensive set of rules and programs to protect ground-water quality, and agencies to implement the rules and programs. These programs have in common a focus on compliance with regulations governing chemical use and (or) ground-water quality. Although appropriate for, and successful at, their specific missions, these programs do not at present provide a comprehensive view of ground-water quality in the State of California. In October 2001, The California Assembly passed a bill, AB 599, establishing the Ground-Water- Quality Monitoring Act of 2001.' The goal of AB 599 is to improve Statewide comprehensive ground-water monitoring and increase availability of information about ground-water quality to the public. AB 599 requires the State Water Resources Control Board (SWRCB), in collaboration with an interagency task force (ITF) and a public advisory committee (PAC), to develop a plan for a comprehensive ground-water monitoring program. AB 599 specifies that the comprehensive program should be capable of assessing each ground-water basin in the State through direct and other statistically reliable sampling approaches, and that the program should integrate existing monitoring programs and design new program elements, as necessary. AB 599 also stresses the importance of prioritizing ground-water basins that provide drinking water. The United States Geological Survey (USGS), in cooperation with the SWRCB, and in coordination with the ITF and PAC, has developed a framework for a comprehensive ground-water-quality monitoring and assessment program for California. The proposed framework relies extensively on previous work conducted by the USGS through its National Water-Quality Assessment (NAWQA) program. In particular, the NAWQA program defines three types of ground-water assessment: (1) status, the assessment of the current quality of the ground-water resource; (2) trends, the detection of changes in water quality, and (3) understanding, assessing the human and natural factors that affect ground-water quality. A Statewide, comprehensive ground-water quality-monitoring and assessment program is most efficiently accomplished by applying uniform and consistent study-design and data-collection protocols to the entire State. At the same time, a comprehensive program should be relevant at a variety of scales, and therefore needs to retain flexibility to address regional and local issues. Consequently, many of the program components include a predominant element that will be consistently applied in all basins, and a secondary element that may be applied in specific basins where local conditions warrant attention.
State Early Childhood Inclusion Self-Assessment
ERIC Educational Resources Information Center
Whaley, Kathy T.; Cate, Debbie; Dell, Penny; Vinh, Megan; Neitzel, Jen
2017-01-01
This self-assessment tool provides a framework for examining key aspects of a State infrastructure that are useful for promoting high quality inclusive practices, programs and policies. The sections of the self-assessment are organized by the nine state recommendations of the "Policy Statement on Inclusion of Children with Disabilities in…
Best practices for assessing ocean health in multiple contexts using tailorable frameworks
Pacheco, Erich J.; Best, Benjamin D.; Scarborough, Courtney; Longo, Catherine; Katona, Steven K.; Halpern, Benjamin S.
2015-01-01
Marine policy is increasingly calling for maintaining or restoring healthy oceans while human activities continue to intensify. Thus, successful prioritization and management of competing objectives requires a comprehensive assessment of the current state of the ocean. Unfortunately, assessment frameworks to define and quantify current ocean state are often site-specific, limited to a few ocean components, and difficult to reproduce in different geographies or even through time, limiting spatial or temporal comparisons as well as the potential for shared learning. Ideally, frameworks should be tailorable to accommodate use in disparate locations and contexts, removing the need to develop frameworks de novo and allowing efforts to focus on the assessments themselves to advise action. Here, we present some of our experiences using the Ocean Health Index (OHI) framework, a tailorable and repeatable approach that measures health of coupled human-ocean ecosystems in different contexts by accommodating differences in local environmental characteristics, cultural priorities, and information availability and quality. Since its development in 2012, eleven assessments using the OHI framework have been completed at global, national, and regional scales, four of which have been led by independent academic or government groups. We have found the following to be best practices for conducting assessments: Incorporate key characteristics and priorities into the assessment framework design before gathering information; Strategically define spatial boundaries to balance information availability and decision-making scales; Maintain the key characteristics and priorities of the assessment framework regardless of information limitations; and Document and share the assessment process, methods, and tools. These best practices are relevant to most ecosystem assessment processes, but also provide tangible guidance for assessments using the OHI framework. These recommendations also promote transparency around which decisions were made and why, reproducibility through access to detailed methods and computational code, repeatability via the ability to modify methods and computational code, and ease of communication to wide audiences, all of which are critical for any robust assessment process. PMID:26713251
Best practices for assessing ocean health in multiple contexts using tailorable frameworks.
Lowndes, Julia S Stewart; Pacheco, Erich J; Best, Benjamin D; Scarborough, Courtney; Longo, Catherine; Katona, Steven K; Halpern, Benjamin S
2015-01-01
Marine policy is increasingly calling for maintaining or restoring healthy oceans while human activities continue to intensify. Thus, successful prioritization and management of competing objectives requires a comprehensive assessment of the current state of the ocean. Unfortunately, assessment frameworks to define and quantify current ocean state are often site-specific, limited to a few ocean components, and difficult to reproduce in different geographies or even through time, limiting spatial or temporal comparisons as well as the potential for shared learning. Ideally, frameworks should be tailorable to accommodate use in disparate locations and contexts, removing the need to develop frameworks de novo and allowing efforts to focus on the assessments themselves to advise action. Here, we present some of our experiences using the Ocean Health Index (OHI) framework, a tailorable and repeatable approach that measures health of coupled human-ocean ecosystems in different contexts by accommodating differences in local environmental characteristics, cultural priorities, and information availability and quality. Since its development in 2012, eleven assessments using the OHI framework have been completed at global, national, and regional scales, four of which have been led by independent academic or government groups. We have found the following to be best practices for conducting assessments: Incorporate key characteristics and priorities into the assessment framework design before gathering information; Strategically define spatial boundaries to balance information availability and decision-making scales; Maintain the key characteristics and priorities of the assessment framework regardless of information limitations; and Document and share the assessment process, methods, and tools. These best practices are relevant to most ecosystem assessment processes, but also provide tangible guidance for assessments using the OHI framework. These recommendations also promote transparency around which decisions were made and why, reproducibility through access to detailed methods and computational code, repeatability via the ability to modify methods and computational code, and ease of communication to wide audiences, all of which are critical for any robust assessment process.
A weight of evidence framework for environmental assessments: Inferring Qualities
The weighing of heterogeneous evidence such as conventional laboratory toxicity tests, field tests, biomarkers, and community surveys is essential to environmental assessments. Evidence synthesis and weighing is needed to determine causes of observed effects, hazards posed by ch...
A Framework to Assess Where and How Children Connect to Nature.
Giusti, Matteo; Svane, Ulrika; Raymond, Christopher M; Beery, Thomas H
2017-01-01
The design of the green infrastructure in urban areas largely ignores how people's relation to nature, or human-nature connection (HNC), can be nurtured. One practical reason for this is the lack of a framework to guide the assessment of where people, and more importantly children, experience significant nature situations and establish nature routines. This paper develops such a framework. We employed a mixed-method approach to understand what qualities of nature situations connect children to nature (RQ1), what constitutes children's HNC (RQ2), and how significant nature situations and children's HNC relate to each other over time (RQ3). We first interviewed professionals in the field of connecting children to nature ( N = 26), performed inductive thematic analysis of these interviews, and then further examined the inductive findings by surveying specialists ( N = 275). We identified 16 qualities of significant nature situations (e.g., "awe," "engagement of senses," "involvement of mentors") and 10 abilities that constitute children's HNC (e.g., "feeling comfortable in natural spaces," "feeling attached to natural spaces," "taking care of nature"). We elaborated three principles to answer our research questions: (1) significant nature situations are various and with differing consequences for children's HNC; (2) children's HNC is a complex embodied ability; (3) children's HNC progresses over time through diverse nature routines. Together, these findings form the Assessment framework for Children's Human Nature Situations (ACHUNAS). ACHUNAS is a comprehensive framework that outlines what to quantify or qualify when assessing "child-nature connecting" environments. It guides the assessment of where and how children connect to nature, stimulating both the design of nature-connecting human habitats as well as pedagogical approaches to HNC.
Tawfik-Shukor, Ali R; Klazinga, Niek S; Arah, Onyebuchi A
2007-01-01
Background Given the proliferation and the growing complexity of performance measurement initiatives in many health systems, the Netherlands and Ontario, Canada expressed interests in cross-national comparisons in an effort to promote knowledge transfer and best practise. To support this cross-national learning, a study was undertaken to compare health system performance approaches in The Netherlands with Ontario, Canada. Methods We explored the performance assessment framework and system of each constituency, the embeddedness of performance data in management and policy processes, and the interrelationships between the frameworks. Methods used included analysing governmental strategic planning and policy documents, literature and internet searches, comparative descriptive tables, and schematics. Data collection and analysis took place in Ontario and The Netherlands. A workshop to validate and discuss the findings was conducted in Toronto, adding important insights to the study. Results Both Ontario and The Netherlands conceive health system performance within supportive frameworks. However they differ in their assessment approaches. Ontario's Scorecard links performance measurement with strategy, aimed at health system integration. The Dutch Health Care Performance Report (Zorgbalans) does not explicitly link performance with strategy, and focuses on the technical quality of healthcare by measuring dimensions of quality, access, and cost against healthcare needs. A backbone 'five diamond' framework maps both frameworks and articulates the interrelations and overlap between their goals, themes, dimensions and indicators. The workshop yielded more contextual insights and further validated the comparative values of each constituency's performance assessment system. Conclusion To compare the health system performance approaches between The Netherlands and Ontario, Canada, several important conceptual and contextual issues must be addressed, before even attempting any future content comparisons and benchmarking. Such issues would lend relevant interpretational credibility to international comparative assessments of the two health systems. PMID:17319947
A Framework to Assess Where and How Children Connect to Nature
Giusti, Matteo; Svane, Ulrika; Raymond, Christopher M.; Beery, Thomas H.
2018-01-01
The design of the green infrastructure in urban areas largely ignores how people's relation to nature, or human-nature connection (HNC), can be nurtured. One practical reason for this is the lack of a framework to guide the assessment of where people, and more importantly children, experience significant nature situations and establish nature routines. This paper develops such a framework. We employed a mixed-method approach to understand what qualities of nature situations connect children to nature (RQ1), what constitutes children's HNC (RQ2), and how significant nature situations and children's HNC relate to each other over time (RQ3). We first interviewed professionals in the field of connecting children to nature (N = 26), performed inductive thematic analysis of these interviews, and then further examined the inductive findings by surveying specialists (N = 275). We identified 16 qualities of significant nature situations (e.g., “awe,” “engagement of senses,” “involvement of mentors”) and 10 abilities that constitute children's HNC (e.g., “feeling comfortable in natural spaces,” “feeling attached to natural spaces,” “taking care of nature”). We elaborated three principles to answer our research questions: (1) significant nature situations are various and with differing consequences for children's HNC; (2) children's HNC is a complex embodied ability; (3) children's HNC progresses over time through diverse nature routines. Together, these findings form the Assessment framework for Children's Human Nature Situations (ACHUNAS). ACHUNAS is a comprehensive framework that outlines what to quantify or qualify when assessing “child-nature connecting” environments. It guides the assessment of where and how children connect to nature, stimulating both the design of nature-connecting human habitats as well as pedagogical approaches to HNC. PMID:29354088
Developing a framework of, and quality indicators for, general practice management in Europe.
Engels, Yvonne; Campbell, Stephen; Dautzenberg, Maaike; van den Hombergh, Pieter; Brinkmann, Henrik; Szécsényi, Joachim; Falcoff, Hector; Seuntjens, Luc; Kuenzi, Beat; Grol, Richard
2005-04-01
To develop a framework for general practice management made up of quality indicators shared by six European countries. Two-round postal Delphi questionnaire in the setting of general practice in Belgium, France, Germany, The Netherlands, Switzerland and the United Kingdom. Six national expert panels, each consisting of 10 members, primarily primary care practitioners and experts in the field of quality in primary care participated in the study. The main outcome measures were: (a) a European framework with indicators for the organization of primary care; and (b) ratings of the face validity of the usefulness of the indicators by expert panels in six countries. Agreement was reached about a definition of practice management across five domains (infrastructure, staff, information, finance, and quality and safety), and a common set of indicators for the organization of general practice. The panellist response rate was 95%. Sixty-two indicators (37%) were rated face valid by all six panels. Examples include out of hours service, accessibility, the content of doctors' bags and staff involvement in quality improvement. No indicators were rated invalid by all six panels. It proved to be possible to develop a European set of indicators for assessing the quality of practice management, despite the differences in health care systems and cultures in the six different countries. These indicators will now be used in a quality assessment procedure of practice management in nine European countries. While organizational indicators are part of the new GMS contract in the UK, this research shows that many practice management issues within primary care are also of relevance in other European countries.
De Geest, Sabina; Burkhalter, Hanna; Berben, Lut; Bogert, Laura Jane; Denhaerynck, Kris; Glass, Tracy R; Goetzmann, Lutz; Kirsch, Monika; Kiss, Alexander; Koller, Michael T; Piot-Ziegler, Chantal; Schmidt-Trucksäss, Arno
2013-09-01
Understanding outcomes after transplant requires a biopsychosocial model that includes biomedical and psychosocial factors. The latter, to date, are assessed only in a limited way as part of transplant registries or cohort studies. The Swiss Transplant Cohort Study (STCS) is a nationwide open cohort study (starting May 2008) to systematically and prospectively assess psychosocial factors. This article describes the framework underpinning STCS's psychosocial assessment. The STCS framework was adapted from the multidimensional conceptual perspective of Dew et al to describe transplant psychosocial domains and specific outcomes by adding a time perspective, a system perspective, and interaction among domains. We propose a multidimensional, multilevel biopsychosocial framework representing mutually influencing domains from before to after transplant, and exemplify each domain by factors included in STCS and their measurement. The transplant patient, centrally positioned, is described by clinical and sociodemographic characteristics (eg, socioeconomic status, educational, professional, and relationship status). The following psychosocial domains further describe the patient: (1) physical/functional (eg, perceived health status, sleep quality, daytime sleepiness), (2) psychological (eg, depression, stress), (3) behavioral (eg, medication adherence, smoking, drug use, physical activity, sun protection), (4) social (eg, work capacity/return to work), and (5) global quality of life. Factors associated with health care system level (eg, trust in transplant team) are also included in the model. The STCS's psychosocial framework provides a basis for studying the interplay of biomedical, sociodemographic, psychosocial, behavioral, and health care system factors in view of transplant outcomes and therefore has the potential to guide biopsychosocial transplant research.
Personality Assessment: A Competency-Capability Perspective.
Kaslow, Nadine J; Finklea, J Tyler; Chan, Ginny
2018-01-01
This article begins by reviewing the proficiency of personality assessment in the context of the competencies movement, which has dominated health service psychology in recent years. It examines the value of including a capability framework for advancing this proficiency and enhancing the quality of personality assessments, including Therapeutic Assessment (Finn & Tonsager, 1997 ), that include a personality assessment component. This hybrid competency-capability framework is used to set the stage for the conduct of personality assessments in a variety of contexts and for the optimal training of personality assessment. Future directions are offered in terms of ways psychologists can strengthen their social contract with the public and offer a broader array of personality assessments in more diverse contexts and by individuals who are both competent and capable.
Service quality in contracted facilities.
Rabbani, Fauziah; Pradhan, Nousheen Akber; Zaidi, Shehla; Azam, Syed Iqbal; Yousuf, Farheen
2015-01-01
The purpose of this paper is to explore the readiness of contracted and non-contracted first-level healthcare facilities in Pakistan to deliver quality maternal and neonatal health (MNH) care. A balanced scorecard (BSC) was used as the assessment framework. Using a cross-sectional study design, two rural health centers (RHCs) contracted out to Aga Khan Health Service, Pakistan were compared with four government managed RHCs. A BSC was designed to assess RHC readiness to deliver good quality MNH care. In total 20 indicators were developed, representing five BSC domains: health facility functionality, service provision, staff capacity, staff and patient satisfaction. Validated data collection tools were used to collect information. Pearson χ2, Fisher's Exact and the Mann-Whitney tests were applied as appropriate to detect significant service quality differences among the two facilities. Contracted facilities were generally found to be better than non-contracted facilities in all five BSC domains. Patients' inclination for facility-based delivery at contracted facilities was, however, significantly higher than non-contracted facilities (80 percent contracted vs 43 percent non-contracted, p=0.006). The study shows that contracting out initiatives have the potential to improve MNH care. This is the first study to compare MNH service delivery quality across contracted and non-contracted facilities using BSC as the assessment framework.
Developing a multidisciplinary robotic surgery quality assessment program.
Gonsenhauser, Iahn; Abaza, Ronney; Mekhjian, Hagop; Moffatt-Bruce, Susan D
2012-01-01
The objective of this study was to test the feasibility of a novel quality-improvement (QI) program designed to incorporate multiple robotic surgical sub-specialties in one health care system. A robotic surgery quality assessment program was developed by The Ohio State University College of Medicine (OSUMC) in conjunction with The Ohio State University Medical Center Quality Improvement and Operations Department. A retrospective review of cases was performed using data interrogated from the OSUMC Information Warehouse from January 2007 through August 2009. Robotic surgery cases (n=2200) were assessed for operative times, length of stay (LOS), conversions, returns to surgery, readmissions and cancellations as potential quality indicators. An actionable and reproducible framework for the quality measurement and assessment of a multidisciplinary and interdepartmental robotic surgery program was successfully completed demonstrating areas for improvement opportunities. This report supports that standard quality indicators can be applied to multiple specialties within a health care system to develop a useful quality tracking and assessment tool in the highly specialized area of robotic surgery. © 2012 National Association for Healthcare Quality.
Milando, Chad W.; Martenies, Sheena E.; Batterman, Stuart A.
2017-01-01
In air quality management, reducing emissions from pollutant sources often forms the primary response to attaining air quality standards and guidelines. Despite the broad success of air quality management in the US, challenges remain. As examples: allocating emissions reductions among multiple sources is complex and can require many rounds of negotiation; health impacts associated with emissions, the ultimate driver for the standards, are not explicitly assessed; and long dispersion model run-times, which result from the increasing size and complexity of model inputs, limit the number of scenarios that can be evaluated, thus increasing the likelihood of missing an optimal strategy. A new modeling framework, called the "Framework for Rapid Emissions Scenario and Health impact ESTimation" (FRESH-EST), is presented to respond to these challenges. FRESH-EST estimates concentrations and health impacts of alternative emissions scenarios at the urban scale, providing efficient computations from emissions to health impacts at the Census block or other desired spatial scale. In addition, FRESH-EST can optimize emission reductions to meet specified environmental and health constraints, and a convenient user interface and graphical displays are provided to facilitate scenario evaluation. The new framework is demonstrated in an SO2 non-attainment area in southeast Michigan with two optimization strategies: the first minimizes emission reductions needed to achieve a target concentration; the second minimizes concentrations while holding constant the cumulative emissions across local sources (e.g., an emissions floor). The optimized strategies match outcomes in the proposed SO2 State Implementation Plan without the proposed stack parameter modifications or shutdowns. In addition, the lower health impacts estimated for these strategies suggest the potential for FRESH-EST to identify pollution control alternatives for air quality management planning. PMID:27318620
Outcomes-Balanced Framework for Emergency Management: A Predictive Model for Preparedness
2013-09-01
Management Total Quality Management (TQM) was developed by W. Edwards Deming in the post-World War II reconstruction period in Japan. It ushered in a...FIGURES Figure 1. From Total Quality Management Principles ....................................................30 Figure 2. Outcomes Logic Model (After...THIRA Threat and Hazard Identification and Risk Assessment TQM Total Quality Management UTL Universal Task List xiv ACKNOWLEDGMENTS German
Ory, Marcia G; Altpeter, Mary; Belza, Basia; Helduser, Janet; Zhang, Chen; Smith, Matthew Lee
2014-01-01
Dissemination and implementation (D&I) frameworks are increasingly being promoted in public health research. However, less is known about their uptake in the field, especially for diverse sets of programs. Limited questionnaires exist to assess the ways that frameworks can be utilized in program planning and evaluation. We present a case study from the United States that describes the implementation of the RE-AIM framework by state aging services providers and public health partners and a questionnaire that can be used to assess the utility of such frameworks in practice. An online questionnaire was developed to capture community perspectives about the utility of the RE-AIM framework. Distributed to project leads in 27 funded states in an evidence-based disease prevention initiative for older adults, 40 key stakeholders responded representing a 100% state-participation rate among the 27 funded states. Findings suggest that there is perceived utility in using the RE-AIM framework when evaluating grand-scale initiatives for older adults. The RE-AIM framework was seen as useful for planning, implementation, and evaluation with relevance for evaluators, providers, community leaders, and policy makers. Yet, the uptake was not universal, and some respondents reported difficulties in use, especially adopting the framework as a whole. This questionnaire can serve as the basis to assess ways the RE-AIM framework can be utilized by practitioners in state-wide D&I efforts. Maximal benefit can be derived from examining the assessment of RE-AIM-related knowledge and confidence as part of a continual quality assurance process. We recommend such an assessment be performed before the implementation of new funding initiatives and throughout their course to assess RE-AIM uptake and to identify areas for technical assistance.
Celedonio Aguirre-Bravo; Carlos Rodriguez Franco
1999-01-01
The general objective of this Symposium was to build on the best science and technology available to assure that the data and information produced in future inventory and monitoring programs are comparable, quality assured, available, and adequate for their intended purposes, thereby providing a reliable framework for characterization, assessment, and management of...
Designing a Teaching Excellence Framework: Lessons from Other Sectors. Occasional Paper 13
ERIC Educational Resources Information Center
Darian, Louisa
2016-01-01
The Government is committed to introducing a Teaching Excellence Framework (TEF) to assess the quality of teaching and learning in higher education. Designing the right solution is challenging. There is no off-the-shelf solution from other countries that we can lift. But we can learn lessons from other sectors. This pamphlet explores rating…
Quality Assessment and Development in the Course of the EFMD CEL Programme Accreditation
ERIC Educational Resources Information Center
Meier, C.; Seufert, S.; Euler, D.
2012-01-01
This paper reviews the experiences and learnings derived from the European Foundation for Management Development's programme accreditation teChnology-Enhanced Learning (EFMD CEL) programme accreditation. The EFMD CEL quality framework is briefly described, and an overview of the programmes that have pursued accreditation is presented.…
O'Connor, Nick; Paton, Michael
2008-04-01
A framework developed to promote the understanding and application of clinical governance principles in an area mental health service is described. The framework is operationalized through systems, processes, roles and responsibilities. The development of an explicit and operationalizable framework for clinical governance arose from the authors' experiences in leading and managing mental health services. There is a particular emphasis on improvement of quality of care and patient safety. The framework is informed by recent developments in thinking about clinical governance, including key documents from Australia and the United Kingdom. The operational nature of the framework allows for key components of clinical governance to be described explicitly, communicated effectively, and continually tested and improved. Further consideration and assessment of the value of differing approaches to this task are required. For example, a general, illustrative approach to raise clinician awareness can be contrasted with prescriptive and specified approaches which progressively encompass the many functions and processes of a mental health service. Mental health clinicians and managers can be guided by a framework that will ensure safe, high quality and continually improving processes of care.
Karlberg, Micael; von Stosch, Moritz; Glassey, Jarka
2018-03-07
In today's biopharmaceutical industries, the lead time to develop and produce a new monoclonal antibody takes years before it can be launched commercially. The reasons lie in the complexity of the monoclonal antibodies and the need for high product quality to ensure clinical safety which has a significant impact on the process development time. Frameworks such as quality by design are becoming widely used by the pharmaceutical industries as they introduce a systematic approach for building quality into the product. However, full implementation of quality by design has still not been achieved due to attrition mainly from limited risk assessment of product properties as well as the large number of process factors affecting product quality that needs to be investigated during the process development. This has introduced a need for better methods and tools that can be used for early risk assessment and predictions of critical product properties and process factors to enhance process development and reduce costs. In this review, we investigate how the quantitative structure-activity relationships framework can be applied to an existing process development framework such as quality by design in order to increase product understanding based on the protein structure of monoclonal antibodies. Compared to quality by design, where the effect of process parameters on the drug product are explored, quantitative structure-activity relationships gives a reversed perspective which investigates how the protein structure can affect the performance in different unit operations. This provides valuable information that can be used during the early process development of new drug products where limited process understanding is available. Thus, quantitative structure-activity relationships methodology is explored and explained in detail and we investigate the means of directly linking the structural properties of monoclonal antibodies to process data. The resulting information as a decision tool can help to enhance the risk assessment to better aid process development and thereby overcome some of the limitations and challenges present in QbD implementation today.
Ferlie, E B; Shortell, S M
2001-01-01
Fueled by public incidents and growing evidence of deficiencies in care, concern over the quality and outcomes of care has increased in both the United Kingdom and the United States. Both countries have launched a number of initiatives to deal with these issues. These initiatives are unlikely to achieve their objectives without explicit consideration of the multilevel approach to change that includes the individual, group/team, organization, and larger environment/system level. Attention must be given to issues of leadership, culture, team development, and information technology at all levels. A number of contingent factors influence these efforts in both countries, which must each balance a number of tradeoffs between centralization and decentralization in efforts to sustain the impetus for quality improvement over time. The multilevel change framework and associated properties provide a framework for assessing progress along the journey.
Towards an IMU Evaluation Framework for Human Body Tracking.
Venek, Verena; Kremser, Wolfgang; Schneider, Cornelia
2018-01-01
Existing full-body tracking systems, which use Inertial Measurement Units (IMUs) as sensing unit, require expert knowledge for setup and data collection. Thus, the daily application for human body tracking is difficult. In particular, in the field of active and assisted living (AAL), tracking human movements would enable novel insights not only into the quantity but also into the quality of human movement, for example by monitoring functional training. While the current market offers a wide range of products with vastly different properties, literature lacks guidelines for choosing IMUs for body tracking applications. Therefore, this paper introduces developments towards an IMU evaluation framework for human body tracking which compares IMUs against five requirement areas that consider device features and data quality. The data quality is assessed by conducting a static and a dynamic error analysis. In a first application to four IMUs of different component consumption, the IMU evaluation framework convinced as promising tool for IMU selection.
Informing the NCA: EPA's Climate Change Impact and Risk Analysis Framework
NASA Astrophysics Data System (ADS)
Sarofim, M. C.; Martinich, J.; Kolian, M.; Crimmins, A. R.
2017-12-01
The Climate Change Impact and Risk Analysis (CIRA) framework is designed to quantify the physical impacts and economic damages in the United States under future climate change scenarios. To date, the framework has been applied to 25 sectors, using scenarios and projections developed for the Fourth National Climate Assessment. The strength of this framework has been in the use of consistent climatic, socioeconomic, and technological assumptions and inputs across the impact sectors to maximize the ease of cross-sector comparison. The results of the underlying CIRA sectoral analyses are informing the sustained assessment process by helping to address key gaps related to economic valuation and risk. Advancing capacity and scientific literature in this area has created opportunity to consider future applications and strengthening of the framework. This presentation will describe the CIRA framework, present results for various sectors such as heat mortality, air & water quality, winter recreation, and sea level rise, and introduce potential enhancements that can improve the utility of the framework for decision analysis.
Comparison of Two Vegetation Height Methods for Assessing Greater Sage-Grouse Seasonal Habitat
USDA-ARS?s Scientific Manuscript database
The 2015 Sage-Grouse Habitat Assessment Framework (HAF) was developed to evaluate habitat quality for sage-grouse (Centrocercus spp.), with the greater sage-grouse (C. urophasianus) as the primary focus of HAF evaluations and basis of the indicators in the HAF. Site-scale assessments of sage-grouse ...
OECD Reviews of Evaluation and Assessment in Education: Australia
ERIC Educational Resources Information Center
Santiago, Paulo; Donaldson, Graham; Herman, Joan; Shewbridge, Claire
2011-01-01
This report for Australia forms part of the Organisation for Economic Cooperation and Development (OECD) Review on Evaluation and Assessment Frameworks for Improving School Outcomes. The purpose of the Review is to explore how systems of evaluation and assessment can be used to improve the quality, equity and efficiency of school education. The…
Sandle, Tim
2012-01-01
Environmental monitoring programs are essential for pharmaceutical facilities in order to assess the level of environmental control. For biotechnology facilities there is little advice as to the frequency at which viable environmental monitoring should be conducted. This paper outlines an approach, based on the principles of quality risk management, for the development of a framework from which monitoring frequencies can be determined. This involved the identification of common hazards and the evaluation those hazards in terms of the severity of contamination and the probability of contamination occurring. These elements of risk were evaluated for different cleanrooms and the relative risks ranked. Once the risk scores were calculated, the methods for detecting risks within the cleanrooms were assessed. Risk filtering was then used to group different cleanrooms based on their relative risks and detection methods against predetermined monitoring frequencies. Through use of case study examples, the paper presents the model and describes how appropriate frequencies for the environmental monitoring of cleanrooms can be set. Cleanrooms in which biotechnology pharmaceutical processing takes place are subject to environmental monitoring. The frequency at which such monitoring should be performed can be difficult to determine. This paper uses quality risk assessment methods to construct a framework for determining monitoring frequencies and illustrates the suitability of the framework through a case study.
The quality of mental disorder information websites: a review.
Reavley, Nicola J; Jorm, Anthony F
2011-11-01
This paper reviews studies assessing the quality of websites providing information about mental disorders. The review included 31 articles identified by searching research databases in March 2010. Topics covered included affective disorders, anxiety disorders, eating disorders, substance use disorders and schizophrenia/psychosis. The largest number of articles (13) reported studies assessing affective disorder information quality. Methodologies varied in site selection and rating methods, with some of limited validity. Most concluded that quality was poor, although quality of affective disorder sites may be improving. There is currently very little understanding of the influence of website quality on user behaviour. Future quality assessments might use the criteria informed by key behaviour change theories. A possible approach to research on websites and user behaviour might be to develop an evaluation framework incorporating strategies from behaviour change models, key mental health literacy elements and health outcomes relevant to mental health promotion. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
Considerations that will determine if competency-based assessment is a sustainable innovation.
Dauphinee, W Dale; Boulet, John R; Norcini, John J
2018-05-18
Educational assessment for the health professions has seen a major attempt to introduce competency based frameworks. As high level policy developments, the changes were intended to improve outcomes by supporting learning and skills development. However, we argue that previous experiences with major innovations in assessment offer an important road map for developing and refining assessment innovations, including careful piloting and analyses of their measurement qualities and impacts. Based on the literature, numerous assessment workshops, personal interactions with potential users, and our 40 years of experience in implementing assessment change, we lament the lack of a coordinated approach to clarify and improve measurement qualities and functionality of competency based assessment (CBA). To address this worrisome situation, we offer two roadmaps to guide CBA's further development. Initially, reframe and address CBA as a measurement development opportunity. Secondly, using a roadmap adapted from the management literature on sustainable innovation, the medical assessment community needs to initiate an integrated plan to implement CBA as a sustainable innovation within existing educational programs and self-regulatory enterprises. Further examples of down-stream opportunities to refocus CBA at the implementation level within faculties and within the regulatory framework of the profession are offered. In closing, we challenge the broader assessment community in medicine to step forward and own the challenge and opportunities to reframe CBA as an innovation to improve the quality of the clinical educational experience. The goal is to optimize assessment in health education and ultimately improve the public's health.
D'Cruz, O'Neill
2015-12-01
Clinicians who manage patients with epilepsy are expected to assess the relevance of clinical trial results to their practice, integrate new treatments into the care algorithm, and implement epilepsy quality measures, with the overall goal of improving patient outcomes. A disease-based clinical framework that helps with choice and combinations of interventions facilitates provision of efficient, cost-effective, and high-quality care. This article addresses the current conceptual framework that informs clinical evaluation of epilepsy, explores gaps between development of treatment options, quality measures and clinical goals, and proposes an outcome-centered approach that bridges these gaps with the aim of improving patient and population-level clinical outcomes in epilepsy. Copyright © 2015 The Author. Published by Elsevier Inc. All rights reserved.
Bujar, Magdalena; McAuslane, Neil; Walker, Stuart R; Salek, Sam
2017-01-01
Introduction: Although pharmaceutical companies, regulatory authorities, and health technology assessment (HTA) agencies have been increasingly using decision-making frameworks, it is not certain whether these enable better quality decision making. This could be addressed by formally evaluating the quality of decision-making process within those organizations. The aim of this literature review was to identify current techniques (tools, questionnaires, surveys, and studies) for measuring the quality of the decision-making process across the three stakeholders. Methods: Using MEDLINE, Web of Knowledge, and other Internet-based search engines, a literature review was performed to systematically identify techniques for assessing quality of decision making in medicines development, regulatory review, and HTA. A structured search was applied using key words and a secondary review was carried out. In addition, the measurement properties of each technique were assessed and compared. Ten Quality Decision-Making Practices (QDMPs) developed previously were then used as a framework for the evaluation of techniques identified in the review. Due to the variation in studies identified, meta-analysis was inappropriate. Results: This review identified 13 techniques, where 7 were developed specifically to assess decision making in medicines' development, regulatory review, or HTA; 2 examined corporate decision making, and 4 general decision making. Regarding how closely each technique conformed to the 10 QDMPs, the 13 techniques assessed a median of 6 QDMPs, with a mode of 3 QDMPs. Only 2 techniques evaluated all 10 QDMPs, namely the Organizational IQ and the Quality of Decision Making Orientation Scheme (QoDoS), of which only one technique, QoDoS could be applied to assess decision making of both individuals and organizations, and it possessed generalizability to capture issues relevant to companies as well as regulatory authorities. Conclusion: This review confirmed a general paucity of research in this area, particularly regarding the development and systematic application of techniques for evaluating quality decision making, with no consensus around a gold standard. This review has identified QoDoS as the most promising available technique for assessing decision making in the lifecycle of medicines and the next steps would be to further test its validity, sensitivity, and reliability.
ERIC Educational Resources Information Center
Reinders, Hans S.; Schalock, Robert L.
2014-01-01
This article presents the framework of a dynamic approach to quality of life (QOL) enhancement based on the conceptualization and measurement of individual-referenced quality of life. Sections of the article summarize the premises of QOL enhancement, provide the rationale for a dynamic approach to QOL enhancement, discuss six components of QOL…
ERIC Educational Resources Information Center
Cagran, B.; Schmidt, M.; Brown, I.
2011-01-01
Background: Research was conducted, within the framework of the International Family Quality of Life Project, on the quality of life of families with a member who has a disability. We concentrated on the nine specific domains that the family life measure used, and recorded data from five of its six measurement dimensions: "Importance,…
Subjective Values of Quality of Life Dimensions in Elderly People. A SEM Preference Model Approach
ERIC Educational Resources Information Center
Elosua, Paula
2011-01-01
This article proposes a Thurstonian model in the framework of Structural Equation Modelling (SEM) to assess preferences among quality of life dimensions for the elderly. Data were gathered by a paired comparison design in a sample comprised of 323 people aged from 65 to 94 years old. Five dimensions of quality of life were evaluated: Health,…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Spickett, Jeffery, E-mail: J.Spickett@curtin.edu.au; Faculty of Health Sciences, School of Public Health, Curtin University, Perth, Western Australia; Katscherian, Dianne
The approaches used for setting or reviewing air quality standards vary from country to country. The purpose of this research was to consider the potential to improve decision-making through integration of HIA into the processes to review and set air quality standards used in Australia. To assess the value of HIA in this policy process, its strengths and weaknesses were evaluated aligned with review of international processes for setting air quality standards. Air quality standard setting programmes elsewhere have either used HIA or have amalgamated and incorporated factors normally found within HIA frameworks. They clearly demonstrate the value of amore » formalised HIA process for setting air quality standards in Australia. The following elements should be taken into consideration when using HIA in standard setting. (a) The adequacy of a mainly technical approach in current standard setting procedures to consider social determinants of health. (b) The importance of risk assessment criteria and information within the HIA process. The assessment of risk should consider equity, the distribution of variations in air quality in different locations and the potential impacts on health. (c) The uncertainties in extrapolating evidence from one population to another or to subpopulations, especially the more vulnerable, due to differing environmental factors and population variables. (d) The significance of communication with all potential stakeholders on issues associated with the management of air quality. In Australia there is also an opportunity for HIA to be used in conjunction with the NEPM to develop local air quality standard measures. The outcomes of this research indicated that the use of HIA for air quality standard setting at the national and local levels would prove advantageous. -- Highlights: • Health Impact Assessment framework has been applied to a policy development process. • HIA process was evaluated for application in air quality standard setting. • Advantages of HIA in the air quality standard setting process are demonstrated.« less
Marinangeli, Christopher P F; House, James D
2017-01-01
Abstract Regulatory frameworks for protein content claims in Canada and the United States are underpinned by the protein efficiency ratio and protein digestibility-corrected amino acid score (PDCAAS), respectively, which are used to assess the protein quality of a given food. The digestible indispensable amino acid score (DIAAS) is a novel approach to measuring the protein quality of foods and is supported by the Food and Agriculture Organization of the United Nations. Methodological concerns about the PDCAAS are addressed by the DIAAS through introduction of the use of ileal amino acid digestibility coefficients and untruncated protein scores. However, before the DIAAS is widely adopted within regulatory frameworks, a comprehensive assessment is required. Accordingly, this review addresses the potential impact of the DIAAS on regulation, communication, and public health, as well as knowledge gaps, analytical challenges, and cost of implementation. A pragmatic approach to addressing protein quality is advocated by suggesting the use of conservative coefficients of digestibility that are derived from in vitro methods. Before adopting the DIAAS as a framework for supporting protein content claims, updated food-related regulations and policies should also be evaluated through a lens that anticipates the impact on consumer-facing nutrition communication, the adoption of dietary patterns that are nutritionally adequate, and a food value chain that fosters a spirit of food and nutritional innovation. PMID:28969364
ERIC Educational Resources Information Center
Reumann-Moore, Rebecca; Lawrence, Nancy; Sanders, Felicia; Christman, Jolley Bruce; Duffy, Mark
2011-01-01
The Bill and Melinda Gates Foundation has invested in the development and dissemination of high-quality instructional and formative assessment tools to support teachers' incorporation of the Core Common State Standards (CCSS) into their classroom instruction. Literacy experts have developed a framework and a set of templates that teachers can use…
Water is a vital resource for natural ecosystems and human life, and assuring a high quality of water and protectingit from chemical contamination is a major societal goal in the European Union. The Water Framework Directive(WFD) and its daughter directives are the major body of ...
ERIC Educational Resources Information Center
Chen, Chung-Yang; Chang, Huiju; Hsu, Wen-Chin; Sheen, Gwo-Ji
2017-01-01
This paper proposes a training model for raters, with the goal to improve the intra- and inter-consistency of evaluation quality for higher education curricula. The model, termed the learning, behaviour and reaction (LBR) circular training model, is an interdisciplinary application from the business and organisational training domain. The…
The Water Quality Analysis Simulation Program (WASP) is a dynamic, spatially-resolved, differential mass balance fate and transport modeling framework. WASP is used to develop models to simulate concentrations of environmental contaminants in surface waters and sediments. As a mo...
Evaluation Criterion for Quality Assessment of E-Learning Content
ERIC Educational Resources Information Center
Al-Alwani, Abdulkareem
2014-01-01
Research trends related to e-learning systems are oriented towards increasing the efficiency and capacity of the systems, thus they reflect a large variance in performance when considering content conformity and quality standards. The Framework related to standardisation of digital content for e-learning systems is likely to play a significant…
Evaluating Online Bilingual Dictionaries: The Case of Popular Free English-Polish Dictionaries
ERIC Educational Resources Information Center
Lew, Robert; Szarowska, Agnieszka
2017-01-01
Language learners today exhibit a strong preference for free online resources. One problem with such resources is that their quality can vary dramatically. Building on related work on monolingual resources for English, we propose an evaluation framework for online bilingual dictionaries, designed to assess lexicographic quality in four major…
Framework for Optimizing the Evaluation of Data From Contaminated Soil in Sweden
The Swedish guidelines for the evaluation of data for the purpose of a risk assessment at contaminated sites are of a qualitative character, as opposed to the USEPA’s Data Quality Objective Process. In Sweden, this can sometimes be a problem because the demands on data quality ar...
Davis, Jenny; Morgans, Amee; Burgess, Stephen
2016-04-01
Efficient information systems support the provision of multi-disciplinary aged care and a variety of organisational purposes, including quality, funding, communication and continuity of care. Agreed minimum data sets enable accurate communication across multiple care settings. However, in aged care multiple and poorly integrated data collection frameworks are commonly used for client assessment, government reporting and funding purposes. To determine key information needs in aged care settings to improve information quality, information transfer, safety, quality and continuity of care to meet the complex needs of aged care clients. Modified Delphi methods involving five stages were employed by one aged care provider in Victoria, Australia, to establish stakeholder consensus for a derived minimum data set and address barriers to data quality. Eleven different aged care programs were identified; with five related data dictionaries, three minimum data sets, five program standards or quality frameworks. The remaining data collection frameworks related to diseases classification, funding, service activity reporting, and statistical standards and classifications. A total of 170 different data items collected across seven internal information systems were consolidated to a derived set of 60 core data items and aligned with nationally consistent data collection frameworks. Barriers to data quality related to inconsistencies in data items, staff knowledge, workflow, system access and configuration. The development an internal aged care minimum data set highlighted the critical role of primary data quality in the upstream and downstream use of client information; and presents a platform to build national consistency across the sector.
A new statistical framework to assess structural alignment quality using information compression
Collier, James H.; Allison, Lloyd; Lesk, Arthur M.; Garcia de la Banda, Maria; Konagurthu, Arun S.
2014-01-01
Motivation: Progress in protein biology depends on the reliability of results from a handful of computational techniques, structural alignments being one. Recent reviews have highlighted substantial inconsistencies and differences between alignment results generated by the ever-growing stock of structural alignment programs. The lack of consensus on how the quality of structural alignments must be assessed has been identified as the main cause for the observed differences. Current methods assess structural alignment quality by constructing a scoring function that attempts to balance conflicting criteria, mainly alignment coverage and fidelity of structures under superposition. This traditional approach to measuring alignment quality, the subject of considerable literature, has failed to solve the problem. Further development along the same lines is unlikely to rectify the current deficiencies in the field. Results: This paper proposes a new statistical framework to assess structural alignment quality and significance based on lossless information compression. This is a radical departure from the traditional approach of formulating scoring functions. It links the structural alignment problem to the general class of statistical inductive inference problems, solved using the information-theoretic criterion of minimum message length. Based on this, we developed an efficient and reliable measure of structural alignment quality, I-value. The performance of I-value is demonstrated in comparison with a number of popular scoring functions, on a large collection of competing alignments. Our analysis shows that I-value provides a rigorous and reliable quantification of structural alignment quality, addressing a major gap in the field. Availability: http://lcb.infotech.monash.edu.au/I-value Contact: arun.konagurthu@monash.edu Supplementary information: Online supplementary data are available at http://lcb.infotech.monash.edu.au/I-value/suppl.html PMID:25161241
DOE Office of Scientific and Technical Information (OSTI.GOV)
Goodman, Julie, E-mail: jgoodman@gradientcorp.com
Background: The International Agency for Research on Cancer (IARC) recently developed a framework for evaluating mechanistic evidence that includes a list of 10 key characteristics of carcinogens. This framework is useful for identifying and organizing large bodies of literature on carcinogenic mechanisms, but it lacks sufficient guidance for conducting evaluations that fully integrate mechanistic evidence into hazard assessments. Objectives: We summarize the framework, and suggest approaches to strengthen the evaluation of mechanistic evidence using this framework. Discussion: While the framework is useful for organizing mechanistic evidence, its lack of guidance for implementation limits its utility for understanding human carcinogenic potential.more » Specifically, it does not include explicit guidance for evaluating the biological significance of mechanistic endpoints, inter- and intra-individual variability, or study quality and relevance. It also does not explicitly address how mechanistic evidence should be integrated with other realms of evidence. Because mechanistic evidence is critical to understanding human cancer hazards, we recommend that IARC develop transparent and systematic guidelines for the use of this framework so that mechanistic evidence will be evaluated and integrated in a robust manner, and concurrently with other realms of evidence, to reach a final human cancer hazard conclusion. Conclusions: IARC does not currently provide a standardized approach to evaluating mechanistic evidence. Incorporating the recommendations discussed here will make IARC analyses of mechanistic evidence more transparent, and lead to assessments of cancer hazards that reflect the weight of the scientific evidence and allow for scientifically defensible decision-making. - Highlights: • IARC has a revised framework for evaluating literature on carcinogenic mechanisms. • The framework is based on 10 key characteristics of carcinogens. • IARC should develop transparent and systematic guidelines for using the framework. • It should better address biological significance, study quality, and relevance. • It should better address integrating mechanistic evidence with other evidence.« less
NASA Astrophysics Data System (ADS)
Wang, Weibao; Overall, Gary; Riggs, Travis; Silveston-Keith, Rebecca; Whitney, Julie; Chiu, George; Allebach, Jan P.
2013-01-01
Assessment of macro-uniformity is a capability that is important for the development and manufacture of printer products. Our goal is to develop a metric that will predict macro-uniformity, as judged by human subjects, by scanning and analyzing printed pages. We consider two different machine learning frameworks for the metric: linear regression and the support vector machine. We have implemented the image quality ruler, based on the recommendations of the INCITS W1.1 macro-uniformity team. Using 12 subjects at Purdue University and 20 subjects at Lexmark, evenly balanced with respect to gender, we conducted subjective evaluations with a set of 35 uniform b/w prints from seven different printers with five levels of tint coverage. Our results suggest that the image quality ruler method provides a reliable means to assess macro-uniformity. We then defined and implemented separate features to measure graininess, mottle, large area variation, jitter, and large-scale non-uniformity. The algorithms that we used are largely based on ISO image quality standards. Finally, we used these features computed for a set of test pages and the subjects' image quality ruler assessments of these pages to train the two different predictors - one based on linear regression and the other based on the support vector machine (SVM). Using five-fold cross-validation, we confirmed the efficacy of our predictor.
[Quality assurance: concepts, actions and reflexions].
Ruelas Barajas, E
1994-01-01
Importance that the topic of quality of medical care has acquired in recent years, a number of concepts have been utilized to mean many strategies to improve the quality of care. This situation has frequently created confusion between terms such as: quality assessment, quality assurance, total quality management, quality guarantee, etc. The purpose of this paper is to propose a conceptual framework that allows not only to clarify the concepts but also the actions towards the improvement of the quality of care. Therefore, a multidimensional matrix is also proposed in order to classify the multiple actions referred about in the literature and to organize them. The conclusions are: 1) The term "Quality guarantee", at least in spanish, is absolutely pertinent when referred to the quality of medical care; 2) This concept becomes a solid starting point to implement concret actions by integrating different concepts and avoiding confusions; 3) The multidimensional matrix allows to systematize multiple actions; 4) Since there was not a similar conceptual framework it is expected that this paper allows to close the gap between thinking and doing on behalf of every body.
BEACON: A Summary Framework to Overcome Potential Reimbursement Hurdles.
Dunlop, William C N; Mullins, C Daniel; Pirk, Olaf; Goeree, Ron; Postma, Maarten J; Enstone, Ashley; Heron, Louise
2016-10-01
To provide a framework for addressing payers' criteria during the development of pharmaceuticals. A conceptual framework was presented to an international health economic expert panel for discussion. A structured literature search (from 2010 to May 2015), using the following databases in Ovid: Medline(®) and Medline(®) In-Process (PubMed), Embase (Ovid), EconLit (EBSCOhost) and the National Health Service Economic Evaluation Database (NHS EED), and a 'grey literature' search, were conducted to identify existing criteria from the payer perspective. The criteria assessed by existing frameworks and guidelines were collated; the most commonly reported criteria were considered for inclusion in the framework. A mnemonic was conceived as a memory aide to summarise these criteria. Overall, 41 publications were identified as potentially relevant to the objective. Following further screening, 26 were excluded upon full-text review on the basis of no framework presented (n = 13), redundancy (n = 11) or abstract only (n = 2). Frameworks that captured criteria developed for or utilised by the pharmaceutical industry (n = 5) and reimbursement guidance (n = 10) were reviewed. The most commonly identified criteria-unmet need/patient burden, safety, efficacy, quality-of-life outcomes, environment, evidence quality, budget impact and comparator-were incorporated into the summary framework. For ease of communication, the following mnemonic was developed: BEACON (Burden/target population, Environment, Affordability/value, Comparator, Outcomes, Number of studies/quality of evidence). The BEACON framework aims to capture the 'essence' of payer requirements by addressing the most commonly described criteria requested by payers regarding the introduction of a new pharmaceutical.
Molinos-Senante, María; Perez Carrera, Alejo; Hernández-Sancho, Francesc; Fernández-Cirelli, Alicia; Sala-Garrido, Ramón
2014-12-01
Economic studies are essential in evaluating the potential external investment support and/or internal tariffs available to improve drinking water quality. Cost-benefit analysis (CBA) is a useful tool to assess the economic feasibility of such interventions, i.e. to take some form of action to improve the drinking water quality. CBA should involve the market and non-market effects associated with the intervention. An economic framework was proposed in this study, which estimated the health avoided costs and the environmental benefits for the net present value of reducing the pollutant concentrations in drinking water. We conducted an empirical application to assess the economic feasibility of removing arsenic from water in a rural area of Argentina. Four small-scale methods were evaluated in our study. The results indicated that the inclusion of non-market benefits was integral to supporting investment projects. In addition, the application of the proposed framework will provide water authorities with more complete information for the decision-making process.
Gimbel, Sarah; Mwanza, Moses; Nisingizwe, Marie Paul; Michel, Cathy; Hirschhorn, Lisa
2017-12-21
High-quality data are critical to inform, monitor and manage health programs. Over the seven-year African Health Initiative of the Doris Duke Charitable Foundation, three of the five Population Health Implementation and Training (PHIT) partnership projects in Mozambique, Rwanda, and Zambia introduced strategies to improve the quality and evaluation of routinely-collected data at the primary health care level, and stimulate its use in evidence-based decision-making. Using the Consolidated Framework for Implementation Research (CFIR) as a guide, this paper: 1) describes and categorizes data quality assessment and improvement activities of the projects, and 2) identifies core intervention components and implementation strategy adaptations introduced to improve data quality in each setting. The CFIR was adapted through a qualitative theme reduction process involving discussions with key informants from each project, who identified two domains and ten constructs most relevant to the study aim of describing and comparing each country's data quality assessment approach and implementation process. Data were collected on each project's data quality improvement strategies, activities implemented, and results via a semi-structured questionnaire with closed and open-ended items administered to health management information systems leads in each country, with complementary data abstraction from project reports. Across the three projects, intervention components that aligned with user priorities and government systems were perceived to be relatively advantageous, and more readily adapted and adopted. Activities that both assessed and improved data quality (including data quality assessments, mentorship and supportive supervision, establishment and/or strengthening of electronic medical record systems), received higher ranking scores from respondents. Our findings suggest that, at a minimum, successful data quality improvement efforts should include routine audits linked to ongoing, on-the-job mentoring at the point of service. This pairing of interventions engages health workers in data collection, cleaning, and analysis of real-world data, and thus provides important skills building with on-site mentoring. The effect of these core components is strengthened by performance review meetings that unify multiple health system levels (provincial, district, facility, and community) to assess data quality, highlight areas of weakness, and plan improvements.
Excellence in Higher Education Workbook and Scoring Guide
ERIC Educational Resources Information Center
Ruben, Brent D.
2007-01-01
Self-assessment leads to stronger performance in the nation's colleges and universities. That's the premise of "Excellence in Higher Education," a model self-assessment program that has earned accolades from the higher education community. Based on the Malcolm Baldrige National Quality Award framework, the fourth edition of this bestseller is the…
ERIC Educational Resources Information Center
Blazar, David; Braslow, David; Charalambous, Charalambos Y.
2015-01-01
Over the past several years, research teams have developed observational instruments to measure the quality of teachers' instructional practices. Instruments such as Framework for Teaching (FFT) and the Classroom Assessment Scoring System (CLASS) assess general teaching practices, including student-teacher interactions, behavior management, and…
Narratives of Infants' Encounters with Curriculum: Beyond the Curriculum of Care
ERIC Educational Resources Information Center
Cheeseman, Sandra
2017-01-01
Australia's National Quality Framework identifies responsibilities for early childhood educators who work with infants to plan for and assess their learning. Educators are urged to be "responsive to children's ideas and play" and to "assess, anticipate and extend children's learning". Responsiveness in relation to infants is…
Carbon, Claus-Christian
2016-02-01
Nilsson and Axelsson (2015) made an important contribution by linking recent scientific approaches from the field of empirical aesthetics with everyday demands of museum conservators of deciding which items to be preserved or not. The authors made an important effort in identifying the valuable candidates of variables - but focused on visual properties only and on quite high-expertise aspects of aesthetic quality based on very sophisticated evaluations. The present article responds to the target paper by developing the outline of a more holistic approach for future research as a kind of framework that should assist a multi-modal approach, mainly including tactile sense. © The Author(s) 2016.
ERIC Educational Resources Information Center
General Accounting Office, Washington, DC. Program Evaluation and Methodology Div.
The General Accounting Office (GAO) examined the feasibility of assessing the quality of the federal civilian work force, focusing on professional and administrative staff. The agency developed a measurable definition of quality centered on attributes of the individual and the match of the individual's capabilities to the needs of the job. It…
Sizo, Anton; Noble, Bram F; Bell, Scott
2016-03-01
This paper presents and demonstrates a spatial framework for the application of strategic environmental assessment (SEA) in the context of change analysis for urban wetland environments. The proposed framework is focused on two key stages of the SEA process: scoping and environmental baseline assessment. These stages are arguably the most information-intense phases of SEA and have a significant effect on the quality of the SEA results. The study aims to meet the needs for proactive frameworks to assess and protect wetland habitat and services more efficiently, toward the goal of advancing more intelligent urban planning and development design. The proposed framework, adopting geographic information system and remote sensing tools and applications, supports the temporal evaluation of wetland change and sustainability assessment based on landscape indicator analysis. The framework was applied to a rapidly developing urban environment in the City of Saskatoon, Saskatchewan, Canada, analyzing wetland change and land-use pressures from 1985 to 2011. The SEA spatial scale was rescaled from administrative urban planning units to an ecologically meaningful area. Landscape change assessed was based on a suite of indicators that were subsequently rolled up into a single, multi-dimensional, and easy to understand and communicate index to examine the implications of land-use change for wetland sustainability. The results show that despite the recent extremely wet period in the Canadian prairie region, land-use change contributed to increasing threats to wetland sustainability.
NASA Astrophysics Data System (ADS)
Sizo, Anton; Noble, Bram F.; Bell, Scott
2016-03-01
This paper presents and demonstrates a spatial framework for the application of strategic environmental assessment (SEA) in the context of change analysis for urban wetland environments. The proposed framework is focused on two key stages of the SEA process: scoping and environmental baseline assessment. These stages are arguably the most information-intense phases of SEA and have a significant effect on the quality of the SEA results. The study aims to meet the needs for proactive frameworks to assess and protect wetland habitat and services more efficiently, toward the goal of advancing more intelligent urban planning and development design. The proposed framework, adopting geographic information system and remote sensing tools and applications, supports the temporal evaluation of wetland change and sustainability assessment based on landscape indicator analysis. The framework was applied to a rapidly developing urban environment in the City of Saskatoon, Saskatchewan, Canada, analyzing wetland change and land-use pressures from 1985 to 2011. The SEA spatial scale was rescaled from administrative urban planning units to an ecologically meaningful area. Landscape change assessed was based on a suite of indicators that were subsequently rolled up into a single, multi-dimensional, and easy to understand and communicate index to examine the implications of land-use change for wetland sustainability. The results show that despite the recent extremely wet period in the Canadian prairie region, land-use change contributed to increasing threats to wetland sustainability.
BASINS enables users to efficiently access nationwide environmental databases and local user-specified datasets, apply assessment and planning tools, and run a variety of proven nonpoint loading and water quality models within a single GIS format.
USDA-ARS?s Scientific Manuscript database
AgroEcoSystem-Watershed (AgES-W) is a modular, Java-based spatially distributed model which implements hydrologic/water quality (H/WQ) simulation components under the Object Modeling System (OMS3) environmental modeling framework. AgES-W has recently been enhanced with the addition of nitrogen (N) a...
Automated antibody structure prediction using Accelrys tools: Results and best practices
Fasnacht, Marc; Butenhof, Ken; Goupil-Lamy, Anne; Hernandez-Guzman, Francisco; Huang, Hongwei; Yan, Lisa
2014-01-01
We describe the methodology and results from our participation in the second Antibody Modeling Assessment experiment. During the experiment we predicted the structure of eleven unpublished antibody Fv fragments. Our prediction methods centered on template-based modeling; potential templates were selected from an antibody database based on their sequence similarity to the target in the framework regions. Depending on the quality of the templates, we constructed models of the antibody framework regions either using a single, chimeric or multiple template approach. The hypervariable loop regions in the initial models were rebuilt by grafting the corresponding regions from suitable templates onto the model. For the H3 loop region, we further refined models using ab initio methods. The final models were subjected to constrained energy minimization to resolve severe local structural problems. The analysis of the models submitted show that Accelrys tools allow for the construction of quite accurate models for the framework and the canonical CDR regions, with RMSDs to the X-ray structure on average below 1 Å for most of these regions. The results show that accurate prediction of the H3 hypervariable loops remains a challenge. Furthermore, model quality assessment of the submitted models show that the models are of quite high quality, with local geometry assessment scores similar to that of the target X-ray structures. Proteins 2014; 82:1583–1598. © 2014 The Authors. Proteins published by Wiley Periodicals, Inc. PMID:24833271
Clerehan, Rosemary; Guillemin, Francis; Epstein, Jonathan; Buchbinder, Rachelle
2016-06-01
The Evaluative Linguistic Framework (ELF) was developed to judge the quality of health care texts for patients, based on systemic functional linguistic theory. This approach considers key variables such as context and structure, known to be important for communication. Our objective was to adapt the ELF to evaluate the quality of self-report questionnaires. We reviewed the Health Literacy Questionnaire using the ELF. On the basis of these data, we drafted the preliminary version of the Evaluative Linguistic Framework for Questionnaires (ELF-Q) and applied it to English- and French-language versions of two arthritis self-report questionnaires and to Spanish, Dutch, and Turkish versions of an arthritis questionnaire. The developed ELF-Q was found to be effective for evaluating questionnaires in English and in four other languages. It contains nine items with new descriptions and assessment probes. These include overall organizational or generic structure of the questionnaire, metadiscourse (or text about the text), headings, rhetorical elements (function of each "move" or stage of the text in relation to the reader), the writer-reader relationship, technicality of vocabulary, lexical density (proportion of content words in the text), format, and overall judgment. We added assessment responses on a two- or three-point Likert scale to complement the assessment probes and make the intent and meaning of the probes fully explicit for the questionnaire developer or assessor. The ELF-Q is a framework practical to use for the development or assessment of any type of self-report questionnaire. Its application can identify features of a self-report questionnaire that could be improved to optimize its comprehensibility. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Strong, Mark; South, Gail; Carlisle, Robin
2009-01-01
Background Accurate spirometry is important in the management of COPD. The UK Quality and Outcomes Framework pay-for-performance scheme for general practitioners includes spirometry related indicators within its COPD domain. It is not known whether high achievement against QOF spirometry indicators is associated with spirometry to BTS standards. Methods Data were obtained from the records of 3,217 patients randomly sampled from 5,649 patients with COPD in 38 general practices in Rotherham, UK. Severity of airflow obstruction was categorised by FEV1 (% predicted) according to NICE guidelines. This was compared with clinician recorded COPD severity. The proportion of patients whose spirometry met BTS standards was calculated in each practice using a random sub-sample of 761 patients. The Spearman rank correlation between practice level QOF spirometry achievement and performance against BTS spirometry standards was calculated. Results Spirometry as assessed by clinical records was to BTS standards in 31% of cases (range at practice level 0% to 74%). The categorisation of airflow obstruction according to the most recent spirometry results did not agree well with the clinical categorisation of COPD recorded in the notes (Cohen's kappa = 0.34, 0.30 – 0.38). 12% of patients on COPD registers had FEV1 (% predicted) results recorded that did not support the diagnosis of COPD. There was no association between quality, as measured by adherence to BTS spirometry standards, and either QOF COPD9 achievement (Spearman's rho = -0.11), or QOF COPD10 achievement (rho = 0.01). Conclusion The UK Quality and Outcomes Framework currently assesses the quantity, but not the quality of spirometry. PMID:19558719
Strong, Mark; South, Gail; Carlisle, Robin
2009-06-28
Accurate spirometry is important in the management of COPD. The UK Quality and Outcomes Framework pay-for-performance scheme for general practitioners includes spirometry related indicators within its COPD domain. It is not known whether high achievement against QOF spirometry indicators is associated with spirometry to BTS standards. Data were obtained from the records of 3,217 patients randomly sampled from 5,649 patients with COPD in 38 general practices in Rotherham, UK. Severity of airflow obstruction was categorised by FEV1 (% predicted) according to NICE guidelines. This was compared with clinician recorded COPD severity. The proportion of patients whose spirometry met BTS standards was calculated in each practice using a random sub-sample of 761 patients. The Spearman rank correlation between practice level QOF spirometry achievement and performance against BTS spirometry standards was calculated. Spirometry as assessed by clinical records was to BTS standards in 31% of cases (range at practice level 0% to 74%). The categorisation of airflow obstruction according to the most recent spirometry results did not agree well with the clinical categorisation of COPD recorded in the notes (Cohen's kappa = 0.34, 0.30 - 0.38). 12% of patients on COPD registers had FEV1 (% predicted) results recorded that did not support the diagnosis of COPD. There was no association between quality, as measured by adherence to BTS spirometry standards, and either QOF COPD9 achievement (Spearman's rho = -0.11), or QOF COPD10 achievement (rho = 0.01). The UK Quality and Outcomes Framework currently assesses the quantity, but not the quality of spirometry.
Ory, Marcia G.; Altpeter, Mary; Belza, Basia; Helduser, Janet; Zhang, Chen; Smith, Matthew Lee
2015-01-01
Dissemination and implementation (D&I) frameworks are increasingly being promoted in public health research. However, less is known about their uptake in the field, especially for diverse sets of programs. Limited questionnaires exist to assess the ways that frameworks can be utilized in program planning and evaluation. We present a case study from the United States that describes the implementation of the RE-AIM framework by state aging services providers and public health partners and a questionnaire that can be used to assess the utility of such frameworks in practice. An online questionnaire was developed to capture community perspectives about the utility of the RE-AIM framework. Distributed to project leads in 27 funded states in an evidence-based disease prevention initiative for older adults, 40 key stakeholders responded representing a 100% state-participation rate among the 27 funded states. Findings suggest that there is perceived utility in using the RE-AIM framework when evaluating grand-scale initiatives for older adults. The RE-AIM framework was seen as useful for planning, implementation, and evaluation with relevance for evaluators, providers, community leaders, and policy makers. Yet, the uptake was not universal, and some respondents reported difficulties in use, especially adopting the framework as a whole. This questionnaire can serve as the basis to assess ways the RE-AIM framework can be utilized by practitioners in state-wide D&I efforts. Maximal benefit can be derived from examining the assessment of RE-AIM-related knowledge and confidence as part of a continual quality assurance process. We recommend such an assessment be performed before the implementation of new funding initiatives and throughout their course to assess RE-AIM uptake and to identify areas for technical assistance. PMID:25964897
Shen, Nelson; Yufe, Shira; Saadatfard, Omid; Sockalingam, Sanjeev; Wiljer, David
2017-01-01
Information system research has stressed the importance of theory in understanding how user perceptions can motivate the use and adoption of technology such as web-based continuing professional development programs for interprofessional education (WCPD-IPE). A systematic review was conducted to provide an information system perspective on the current state of WCPD-IPE program evaluation and how current evaluations capture essential theoretical constructs in promoting technology adoption. Six databases were searched to identify studies evaluating WCPD-IPE. Three investigators determined eligibility of the articles. Evaluation items extracted from the studies were assessed using the Kirkpatrick-Barr framework and mapped to the Benefits Evaluation Framework. Thirty-seven eligible studies yielded 362 evaluation items for analysis. Most items (n = 252) were assessed as Kirkpatrick-Barr level 1 (reaction) and were mainly focused on the quality (information, service, and quality) and satisfaction dimensions of the Benefits Evaluation. System quality was the least evaluated quality dimension, accounting for 26 items across 13 studies. WCPD-IPE use was reported in 17 studies and its antecedent factors were evaluated in varying degrees of comprehensiveness. Although user reactions were commonly evaluated, greater focus on user perceptions of system quality (ie, functionality and performance), usefulness, and usability of the web-based platform is required. Surprisingly, WCPD-IPE use was reported in less than half of the studies. This is problematic as use is a prerequisite to realizing any individual, organizational, or societal benefit of WCPD-IPE. This review proposes an integrated framework which accounts for these factors and provides a theoretically grounded guide for future evaluations.
Ma, Deqiang; Zhang, Liyu; Fang, Qinhua; Jiang, Yuwu; Elliott, Michael
2017-05-15
Large scale coastal land-claim and sea-enclosing (CLASE) activities have caused habitat destruction, biodiversity losses and water deterioration, thus the local governments in China have recently undertaken seabed dredging and dyke opening (SDADO) as typical ecological restoration projects. However, some projects focus on a single impact on hydrodynamic conditions, water quality or marine organisms. In a case study in Xiamen, China, an integrated effects assessment framework centres on ecohydrology, using modeling of hydrodynamic conditions and statistical analysis of water quality, was developed to assess the effects of ecological restoration projects. The benefits of SDADO projects include improving hydrodynamic conditions and water quality, as a precursor to further marine biological improvements. This study highlights the need to comprehensively consider ecological effects of SDADO projects in the planning stage, and an integrative assessment method combining cumulative effects of hydrodynamic conditions, water quality and biological factors. Copyright © 2017 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Liu, Ou Lydia; Frankel, Lois; Roohr, Katrina Crotts
2014-01-01
Critical thinking is one of the most important skills deemed necessary for college graduates to become effective contributors in the global workforce. The first part of this article provides a comprehensive review of its definitions by major frameworks in higher education and the workforce, existing assessments and their psychometric qualities,…
ERIC Educational Resources Information Center
Ruben, Brent D.
2007-01-01
Self-assessment leads to stronger performance in the nation's colleges and universities. That's the premise of "Excellence in Higher Education," a model self-assessment program that has earned accolades from the higher education community. Based on the Malcolm Baldrige National Quality Award framework, the fourth edition of this bestseller is the…
Classifying indicators of quality: a collaboration between Dutch and English regulators.
Mears, Alex; Vesseur, Jan; Hamblin, Richard; Long, Paul; Den Ouden, Lya
2011-12-01
Many approaches to measuring quality in healthcare exist, generally employing indicators or metrics. While there are important differences, most of these approaches share three key areas of measurement: safety, effectiveness and patient experience. The European Partnership for Supervisory Organisations in Health Services and Social Care (EPSO) exists as a working group and discussion forum for European regulators. This group undertook to identify a common framework within which European approaches to indicators could be compared. A framework was developed to classify indicators, using four sets of criteria: conceptualization of quality, Donabedian definition (structure, process, outcome), data type (derivable, collectable from routine sources, special collections, samples) and data use (judgement (singular or part of framework) benchmarking, risk assessment). Indicators from English and Dutch hospital measurement programmes were put into the framework, showing areas of agreement and levels of comparability. In the first instance, results are only illustrative. The EPSO has been a powerful driver for undertaking cross-European research, and this project is the first of many to take advantage of the access to international expertize. It has shown that through development of a framework that deconstructs national indicators, commonalities can be identified. Future work will attempt to incorporate other nations' indicators, and attempt cross-national comparison.
A Framework and Improvements of the Korea Cloud Services Certification System.
Jeon, Hangoo; Seo, Kwang-Kyu
2015-01-01
Cloud computing service is an evolving paradigm that affects a large part of the ICT industry and provides new opportunities for ICT service providers such as the deployment of new business models and the realization of economies of scale by increasing efficiency of resource utilization. However, despite benefits of cloud services, there are some obstacles to adopt such as lack of assessing and comparing the service quality of cloud services regarding availability, security, and reliability. In order to adopt the successful cloud service and activate it, it is necessary to establish the cloud service certification system to ensure service quality and performance of cloud services. This paper proposes a framework and improvements of the Korea certification system of cloud service. In order to develop it, the critical issues related to service quality, performance, and certification of cloud service are identified and the systematic framework for the certification system of cloud services and service provider domains are developed. Improvements of the developed Korea certification system of cloud services are also proposed.
A Framework and Improvements of the Korea Cloud Services Certification System
Jeon, Hangoo
2015-01-01
Cloud computing service is an evolving paradigm that affects a large part of the ICT industry and provides new opportunities for ICT service providers such as the deployment of new business models and the realization of economies of scale by increasing efficiency of resource utilization. However, despite benefits of cloud services, there are some obstacles to adopt such as lack of assessing and comparing the service quality of cloud services regarding availability, security, and reliability. In order to adopt the successful cloud service and activate it, it is necessary to establish the cloud service certification system to ensure service quality and performance of cloud services. This paper proposes a framework and improvements of the Korea certification system of cloud service. In order to develop it, the critical issues related to service quality, performance, and certification of cloud service are identified and the systematic framework for the certification system of cloud services and service provider domains are developed. Improvements of the developed Korea certification system of cloud services are also proposed. PMID:26125049
Carney, Patricia A; Palmer, Ryan T; Fuqua Miller, Marissa; Thayer, Erin K; Estroff, Sue E; Litzelman, Debra K; Biagioli, Frances E; Teal, Cayla R; Lambros, Ann; Hatt, William J; Satterfield, Jason M
2016-05-01
Behavioral and social science (BSS) competencies are needed to provide quality health care, but psychometrically validated measures to assess these competencies are difficult to find. Moreover, they have not been mapped to existing frameworks, like those from the Liaison Committee on Medical Education (LCME) and Accreditation Council for Graduate Medical Education (ACGME). This systematic review aimed to identify and evaluate the quality of assessment tools used to measure BSS competencies. The authors searched the literature published between January 2002 and March 2014 for articles reporting psychometric or other validity/reliability testing, using OVID, CINAHL, PubMed, ERIC, Research and Development Resource Base, SOCIOFILE, and PsycINFO. They reviewed 5,104 potentially relevant titles and abstracts. To guide their review, they mapped BSS competencies to existing LCME and ACGME frameworks. The final included articles fell into three categories: instrument development, which were of the highest quality; educational research, which were of the second highest quality; and curriculum evaluation, which were of lower quality. Of the 114 included articles, 33 (29%) yielded strong evidence supporting tools to assess communication skills, cultural competence, empathy/compassion, behavioral health counseling, professionalism, and teamwork. Sixty-two (54%) articles yielded moderate evidence and 19 (17%) weak evidence. Articles mapped to all LCME standards and ACGME core competencies; the most common was communication skills. These findings serve as a valuable resource for medical educators and researchers. More rigorous measurement validation and testing and more robust study designs are needed to understand how educational strategies contribute to BSS competency development.
Tools to Assess Behavioral and Social Science Competencies in Medical Education: A Systematic Review
Carney, Patricia A.; Palmer, Ryan T.; Miller, Marissa Fuqua; Thayer, Erin K.; Estroff, Sue E.; Litzelman, Debra K.; Biagioli, Frances E.; Teal, Cayla R.; Lambros, Ann; Hatt, William J.; Satterfield, Jason M.
2015-01-01
Purpose Behavioral and social science (BSS) competencies are needed to provide quality health care, but psychometrically validated measures to assess these competencies are difficult to find. Moreover, they have not been mapped to existing frameworks, like those from the Liaison Committee on Medical Education (LCME) and Accreditation Council for Graduate Medical Education (ACGME). This systematic review aimed to identify and evaluate the quality of assessment tools used to measure BSS competencies. Method The authors searched the literature published between January 2002 and March 2014 for articles reporting psychometric or other validity/reliability testing, using OVID, CINAHL, PubMed, ERIC, Research and Development Resource Base, SOCIOFILE, and PsycINFO. They reviewed 5,104 potentially relevant titles and abstracts. To guide their review, they mapped BSS competencies to existing LCME and ACGME frameworks. The final, included articles fell into three categories: instrument development, which were of the highest quality; educational research, which were of the second highest quality; and curriculum evaluation, which were of lower quality. Results Of the 114 included articles, 33 (29%) yielded strong evidence supporting tools to assess communication skills, cultural competence, empathy/compassion, behavioral health counseling, professionalism, and teamwork. Sixty-two (54%) articles yielded moderate evidence and 19 (17%) weak evidence. Articles mapped to all LCME standards and ACGME core competencies; the most common was communication skills. Conclusions These findings serve as a valuable resource for medical educators and researchers. More rigorous measurement validation and testing and more robust study designs are needed to understand how educational strategies contribute to BSS competency development. PMID:26796091
Advancing Value Assessment in the United States: A Multistakeholder Perspective.
Sorenson, Corinna; Lavezzari, Gabriela; Daniel, Gregory; Burkholder, Randy; Boutin, Marc; Pezalla, Edmund; Sanders, Gillian; McClellan, Mark
2017-02-01
Rising costs without perceived proportional improvements in quality and outcomes have motivated fundamental shifts in health care delivery and payment to achieve better value. Aligned with these efforts, several value assessment frameworks have been introduced recently to help providers, patients, and payers better understand the potential value of drugs and other interventions and make informed decisions about their use. Given their early stage of development, it is imperative to evaluate these efforts on an ongoing basis to identify how best to support and improve them moving forward. This article provides a multistakeholder perspective on the key limitations and opportunities posed by the current value assessment frameworks and areas of and actions for improvement. In particular, we outline 10 fundamental guiding principles and associated strategies that should be considered in subsequent iterations of the existing frameworks or by emerging initiatives in the future. Although value assessment frameworks may not be able to meet all the needs and preferences of stakeholders, we contend that there are common elements and potential next steps that can be supported to advance value assessment in the United States. Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Milando, Chad W; Martenies, Sheena E; Batterman, Stuart A
2016-09-01
In air quality management, reducing emissions from pollutant sources often forms the primary response to attaining air quality standards and guidelines. Despite the broad success of air quality management in the US, challenges remain. As examples: allocating emissions reductions among multiple sources is complex and can require many rounds of negotiation; health impacts associated with emissions, the ultimate driver for the standards, are not explicitly assessed; and long dispersion model run-times, which result from the increasing size and complexity of model inputs, limit the number of scenarios that can be evaluated, thus increasing the likelihood of missing an optimal strategy. A new modeling framework, called the "Framework for Rapid Emissions Scenario and Health impact ESTimation" (FRESH-EST), is presented to respond to these challenges. FRESH-EST estimates concentrations and health impacts of alternative emissions scenarios at the urban scale, providing efficient computations from emissions to health impacts at the Census block or other desired spatial scale. In addition, FRESH-EST can optimize emission reductions to meet specified environmental and health constraints, and a convenient user interface and graphical displays are provided to facilitate scenario evaluation. The new framework is demonstrated in an SO2 non-attainment area in southeast Michigan with two optimization strategies: the first minimizes emission reductions needed to achieve a target concentration; the second minimizes concentrations while holding constant the cumulative emissions across local sources (e.g., an emissions floor). The optimized strategies match outcomes in the proposed SO2 State Implementation Plan without the proposed stack parameter modifications or shutdowns. In addition, the lower health impacts estimated for these strategies suggest that FRESH-EST could be used to identify potentially more desirable pollution control alternatives in air quality management planning. Copyright © 2016 Elsevier Ltd. All rights reserved.
Urban local air quality management framework for non-attainment areas in Indian cities.
Gulia, Sunil; Nagendra, S M Shiva; Barnes, Jo; Khare, Mukesh
2018-04-01
Increasing urban air pollution level in Indian cities is one of the major concerns for policy makers due to its impact on public health. The growth in population and increase in associated motorised road transport demand is one of the major causes of increasing air pollution in most urban areas along with other sources e.g., road dust, construction dust, biomass burning etc. The present study documents the development of an urban local air quality management (ULAQM) framework at urban hotspots (non-attainment area) and a pathway for the flow of information from goal setting to policy making. The ULAQM also includes assessment and management of air pollution episodic conditions at these hotspots, which currently available city/regional-scale air quality management plans do not address. The prediction of extreme pollutant concentrations using a hybrid model differentiates the ULAQM from other existing air quality management plans. The developed ULAQM framework has been applied and validated at one of the busiest traffic intersections in Delhi and Chennai cities. Various scenarios have been tested targeting the effective reductions in elevated levels of NO x and PM 2.5 concentrations. The results indicate that a developed ULAQM framework is capable of providing an evidence-based graded action to reduce ambient pollution levels within the specified standard level at pre-identified locations. The ULAQM framework methodology is generalised and therefore can be applied to other non-attainment areas of the country. Copyright © 2017 Elsevier B.V. All rights reserved.
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecore...
Sediment toxicity testing has become a fundamental component of regulatory frameworks for assessing the risks posed by contaminated sediments and for development of chemical sediment quality guidelines. Over the past two decades, sediment toxicity testing methods have advanced co...
Communities at the proximity of roadways are exposed to high levels of air pollution from automobile exhaust and are under potential risk of adverse health effects. To understand the relationship between air pollution and adverse health effects, exposure and risk assessment studi...
Using the ACRL Framework to Develop a Student-Centered Model for Program-Level Assessment
ERIC Educational Resources Information Center
Gammons, Rachel Wilder; Inge, Lindsay Taylor
2017-01-01
Information literacy instruction presents a difficult balance between quantity and quality, particularly for large-scale general education courses. This paper discusses the overhaul of the freshman composition instruction program at the University of Maryland Libraries, focusing on the transition from survey assessments to a student-centered and…
Assessing health system performance in developing countries: a review of the literature.
Kruk, Margaret Elizabeth; Freedman, Lynn P
2008-03-01
With the setting of ambitious international health goals and an influx of additional development assistance for health, there is growing interest in assessing the performance of health systems in developing countries. This paper proposes a framework for the assessment of health system performance and reviews the literature on indicators currently in use to measure performance using online medical and public health databases. This was complemented by a review of relevant books and reports in the grey literature. The indicators were organized into three categories: effectiveness, equity, and efficiency. Measures of health system effectiveness were improvement in health status, access to and quality of care and, increasingly, patient satisfaction. Measures of equity included access and quality of care for disadvantaged groups together with fair financing, risk protection and accountability. Measures of efficiency were appropriate levels of funding, the cost-effectiveness of interventions, and effective administration. This framework and review of indicators may be helpful to health policy makers interested in assessing the effects of different policies, expenditures, and organizational structures on health outputs and outcomes in developing countries.
Friedel, Michael J.
2008-01-01
Mauritania anticipates an increase in mining activities throughout the country and into the foreseeable future. Because mining-induced changes in the landscape are likely to affect their limited ground-water resources and sensitive aquatic ecosystems, a water-quality assessment program was designed for Mauritania that is based on a nationally consistent environmental stratification framework. The primary objectives of this program are to ensure that the environmental monitoring systems can quantify near real-time changes in surface-water chemistry at a local scale, and quantify intermediate- to long-term changes in groundwater and aquatic ecosystems over multiple scales.
Schneebeli, Esther; Brägger, Urs; Scherrer, Susanne S; Keller, Andrea; Wittneben, Julia G; Hicklin, Stefan P
2017-07-01
The aim of this study was to assess and compare quality as well as economic aspects of CAD/CAM high strength ceramic three-unit FDP frameworks ordered from dental laboratories located in emerging countries and Switzerland. The master casts of six cases were sent to five dental laboratories located in Thailand (Bangkok), China (Peking and Shenzhen), Turkey (Izmir), and Switzerland (Bern). Each laboratory was using a different CAD/CAM system. The clinical fit of the frameworks was qualitatively assessed, and the thickness of the framework material, the connector height, the width, and the diameter were evaluated using a measuring sensor. The analysis of the internal fit of the frameworks was performed by means of a replica technique, whereas the inner and outer surfaces of the frameworks were evaluated for traces of postprocessing and damage to the intaglio surface with light and electronic microscopes. Groups (dental laboratories and cases) were compared for statistically significant differences using Mann-Whitney U-tests after Bonferroni correction. An acceptable clinical fit was found at 97.9% of the margins produced in laboratory E, 87.5% in B, 93.7% in C, 79.2% in A, and 62.5% in D. The mean framework thicknesses were not statistically significantly different for the premolar regions; however, for the molar area 4/8 of the evaluated sites were statistically significantly different. Circumference, surface, and width of the connectors produced in the different laboratories were statistically significantly different but not the height. There were great differences in the designs for the pontic and connector regions, and some of the frameworks would not be recommended for clinical use. Traces of heavy postprocessing were found in frameworks from some of the laboratories. The prices per framework ranged from US$177 to US$896. By ordering laboratory work in developing countries, a considerable price reduction was obtained compared to the price level in Switzerland. Despite the use of the standardized CAD/CAM chains of production in all laboratories, a large variability in the quality aspects, such as clinical marginal fit, connector and pontic design, as well as postprocessing traces was noted. Recommended sound handling of postprocessing was not applied in all laboratories. Dentists should be aware of the true and factitious advantages of CAD/CAM production chains and not lose control over the process. © 2015 by the American College of Prosthodontists.
Risk assessment of vector-borne diseases for public health governance.
Sedda, L; Morley, D W; Braks, M A H; De Simone, L; Benz, D; Rogers, D J
2014-12-01
In the context of public health, risk governance (or risk analysis) is a framework for the assessment and subsequent management and/or control of the danger posed by an identified disease threat. Generic frameworks in which to carry out risk assessment have been developed by various agencies. These include monitoring, data collection, statistical analysis and dissemination. Due to the inherent complexity of disease systems, however, the generic approach must be modified for individual, disease-specific risk assessment frameworks. The analysis was based on the review of the current risk assessments of vector-borne diseases adopted by the main Public Health organisations (OIE, WHO, ECDC, FAO, CDC etc…). Literature, legislation and statistical assessment of the risk analysis frameworks. This review outlines the need for the development of a general public health risk assessment method for vector-borne diseases, in order to guarantee that sufficient information is gathered to apply robust models of risk assessment. Stochastic (especially spatial) methods, often in Bayesian frameworks are now gaining prominence in standard risk assessment procedures because of their ability to assess accurately model uncertainties. Risk assessment needs to be addressed quantitatively wherever possible, and submitted with its quality assessment in order to enable successful public health measures to be adopted. In terms of current practice, often a series of different models and analyses are applied to the same problem, with results and outcomes that are difficult to compare because of the unknown model and data uncertainties. Therefore, the risk assessment areas in need of further research are identified in this article. Copyright © 2014 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.
Bujar, Magdalena; McAuslane, Neil; Walker, Stuart R.; Salek, Sam
2017-01-01
Introduction: Although pharmaceutical companies, regulatory authorities, and health technology assessment (HTA) agencies have been increasingly using decision-making frameworks, it is not certain whether these enable better quality decision making. This could be addressed by formally evaluating the quality of decision-making process within those organizations. The aim of this literature review was to identify current techniques (tools, questionnaires, surveys, and studies) for measuring the quality of the decision-making process across the three stakeholders. Methods: Using MEDLINE, Web of Knowledge, and other Internet-based search engines, a literature review was performed to systematically identify techniques for assessing quality of decision making in medicines development, regulatory review, and HTA. A structured search was applied using key words and a secondary review was carried out. In addition, the measurement properties of each technique were assessed and compared. Ten Quality Decision-Making Practices (QDMPs) developed previously were then used as a framework for the evaluation of techniques identified in the review. Due to the variation in studies identified, meta-analysis was inappropriate. Results: This review identified 13 techniques, where 7 were developed specifically to assess decision making in medicines' development, regulatory review, or HTA; 2 examined corporate decision making, and 4 general decision making. Regarding how closely each technique conformed to the 10 QDMPs, the 13 techniques assessed a median of 6 QDMPs, with a mode of 3 QDMPs. Only 2 techniques evaluated all 10 QDMPs, namely the Organizational IQ and the Quality of Decision Making Orientation Scheme (QoDoS), of which only one technique, QoDoS could be applied to assess decision making of both individuals and organizations, and it possessed generalizability to capture issues relevant to companies as well as regulatory authorities. Conclusion: This review confirmed a general paucity of research in this area, particularly regarding the development and systematic application of techniques for evaluating quality decision making, with no consensus around a gold standard. This review has identified QoDoS as the most promising available technique for assessing decision making in the lifecycle of medicines and the next steps would be to further test its validity, sensitivity, and reliability. PMID:28443022
John M. Johnston; Mahion C. Barber; Kurt Wolfe; Mike Galvin; Mike Cyterski; Rajbir Parmar; Luis Suarez
2016-01-01
We demonstrate a spatially-explicit regional assessment of current condition of aquatic ecoservices in the Coal River Basin (CRB), with limited sensitivity analysis for the atmospheric contaminant mercury. The integrated modeling framework (IMF) forecasts water quality and quantity, habitat suitability for aquatic biota, fish biomasses, population densities, ...
Quality Attribute Techniques Framework
NASA Astrophysics Data System (ADS)
Chiam, Yin Kia; Zhu, Liming; Staples, Mark
The quality of software is achieved during its development. Development teams use various techniques to investigate, evaluate and control potential quality problems in their systems. These “Quality Attribute Techniques” target specific product qualities such as safety or security. This paper proposes a framework to capture important characteristics of these techniques. The framework is intended to support process tailoring, by facilitating the selection of techniques for inclusion into process models that target specific product qualities. We use risk management as a theory to accommodate techniques for many product qualities and lifecycle phases. Safety techniques have motivated the framework, and safety and performance techniques have been used to evaluate the framework. The evaluation demonstrates the ability of quality risk management to cover the development lifecycle and to accommodate two different product qualities. We identify advantages and limitations of the framework, and discuss future research on the framework.
Zessner, Matthias; Schönhart, Martin; Parajka, Juraj; Trautvetter, Helene; Mitter, Hermine; Kirchner, Mathias; Hepp, Gerold; Blaschke, Alfred Paul; Strenn, Birgit; Schmid, Erwin
2017-02-01
Changes in climatic conditions will directly affect the quality and quantity of water resources. Further on, they will affect them indirectly through adaptation in land use which ultimately influences diffuse nutrient emissions to rivers and therefore potentially the compliance with good ecological status according to the EU Water Framework Directive (WFD). We present an integrated impact modelling framework (IIMF) to track and quantify direct and indirect pollution impacts along policy-economy-climate-agriculture-water interfaces. The IIMF is applied to assess impacts of climatic and socio-economic drivers on agricultural land use (crop choices, farming practices and fertilization levels), river flows and the risk for exceedance of environmental quality standards for determination of the ecological water quality status in Austria. This article also presents model interfaces as well as validation procedures and results of single models and the IIMF with respect to observed state variables such as land use, river flow and nutrient river loads. The performance of the IIMF for calculations of river nutrient loads (120 monitoring stations) shows a Nash-Sutcliffe Efficiency of 0.73 for nitrogen and 0.51 for phosphorus. Most problematic is the modelling of phosphorus loads in the alpine catchments dominated by forests and mountainous landscape. About 63% of these catchments show a deviation between modelled and observed loads of 30% and more. In catchments dominated by agricultural production, the performance of the IIMF is much better as only 30% of cropland and 23% of permanent grassland dominated areas have a deviation of >30% between modelled and observed loads. As risk of exceedance of environmental quality standards is mainly recognized in catchments dominated by cropland, the IIMF is well suited for assessing the nutrient component of the WFD ecological status. Copyright © 2016 British Geological Survey, NERC. Published by Elsevier B.V. All rights reserved.
A Framework for Revitalizing American Manufacturing
2009-12-01
remedial education and support services, modernize facilities, and expand high-quality online course offerings. Invest in high-quality job... risk , high-reward research in areas of critical national need. One 17 current area of focus is research on advanced manufacturing processes and...competitiveness. The Department is working to streamline the delivery of government services to businesses so that they can better assess their needs
Bajoub, Aadil; Bendini, Alessandra; Fernández-Gutiérrez, Alberto; Carrasco-Pancorbo, Alegría
2018-03-24
Over the last decades, olive oil quality and authenticity control has become an issue of great importance to consumers, suppliers, retailers, and regulators in both traditional and emerging olive oil producing countries, mainly due to the increasing worldwide popularity and the trade globalization of this product. Thus, in order to ensure olive oil authentication, various national and international laws and regulations have been adopted, although some of them are actually causing an enormous debate about the risk that they can represent for the harmonization of international olive oil trade standards. Within this context, this review was designed to provide a critical overview and comparative analysis of selected regulatory frameworks for olive oil authentication, with special emphasis on the quality and purity criteria considered by these regulation systems, their thresholds and the analytical methods employed for monitoring them. To complete the general overview, recent analytical advances to overcome drawbacks and limitations of the official methods to evaluate olive oil quality and to determine possible adulterations were reviewed. Furthermore, the latest trends on analytical approaches to assess the olive oil geographical and varietal origin traceability were also examined.
McDonald, Heather; Charles, Cathy; Gafni, Amiram
2011-01-01
Abstract Context Promoting patient participation in treatment decision making is of increasing interest to researchers, clinicians and policy makers. Decision aids (DAs) are advocated as one way to help achieve this goal. Despite their proliferation, there has been little agreement on criteria or standards for evaluating these tools. To fill this gap, an international collaboration of researchers and others interested in the development, content and quality of DAs have worked over the past several years to develop a checklist and, based on this checklist, an instrument for determining whether any given DA meets a defined set of quality criteria. Objective/Methods In this paper, we offer a framework for assessing the conceptual clarity and evidence base used to support the development of quality criteria/standards for evaluating DAs. We then apply this framework to assess the conceptual clarity and evidence base underlying the International Patient Decision Aids Standards (IPDAS) checklist criteria for one of the checklist domains: how best to present in DAs probability information to patients on treatment benefits and risks. Conclusion We found that some of the central concepts underlying the presenting probabilities domain were not defined. We also found gaps in the empirical evidence and theoretical support for this domain and criteria within this domain. Finally, we offer suggestions for steps that should be undertaken for further development and refinement of quality standards for DAs in the future. PMID:22050440
Bresciani, Mariano; Stroppiana, Daniela; Odermatt, Daniel; Morabito, Giuseppe; Giardino, Claudia
2011-08-01
The lakes of the European perialpine region constitute a large water reservoir, which is threatened by the anthropogenic pressure altering water quality. The Water Framework Directive of the European Commission aims to protect water resources and monitoring is seen as an essential step for achieving this goal. Remote sensing can provide frequent data for large scale studies of water quality parameters such as chlorophyll-a (chl-a). In this work we use a dataset of maps of chl-a derived from over 200 MERIS (MEdium Resolution Imaging Spectrometer) satellite images for comparing water quality of 12 perialpine lakes in the period 2003-2009. Besides the different trophic levels of the lakes, results confirm that the seasonal variability of chl-a concentration is particularly pronounced during spring and autumn especially for the more eutrophic lakes. We show that relying on only one sample for the assessment of lake water quality during the season might lead to misleading results and erroneous assignments to quality classes. Time series MERIS data represents a suitable and cost-effective technology to fill this gap, depicting the dynamics of the surface waters of lakes in agreement with the evolution of natural phenomena. Copyright © 2011 Elsevier B.V. All rights reserved.
Development of a new approach to cumulative effects assessment: a northern river ecosystem example.
Dubé, Monique; Johnson, Brian; Dunn, Gary; Culp, Joseph; Cash, Kevin; Munkittrick, Kelly; Wong, Isaac; Hedley, Kathlene; Booty, William; Lam, David; Resler, Oskar; Storey, Alex
2006-02-01
If sustainable development of Canadian waters is to be achieved, a realistic and manageable framework is required for assessing cumulative effects. The objective of this paper is to describe an approach for aquatic cumulative effects assessment that was developed under the Northern Rivers Ecosystem Initiative. The approach is based on a review of existing monitoring practices in Canada and the presence of existing thresholds for aquatic ecosystem health assessments. It suggests that a sustainable framework is possible for cumulative effects assessment of Canadian waters that would result in integration of national indicators of aquatic health, integration of national initiatives (e.g., water quality index, environmental effects monitoring), and provide an avenue where long-term monitoring programs could be integrated with baseline and follow-up monitoring conducted under the environmental assessment process.
A framework for institutionalizing quality assurance.
Silimperi, Diana R; Franco, Lynne Miller; Veldhuyzen van Zanten, Tisna; MacAulay, Catherine
2002-12-01
To develop a framework to support the institutionalization of quality assurance (QA). The framework for institutionalizing QA consists of a model of eight essential elements and a 'roadmap' for the process of institutionalization. The essential elements are the building blocks required for implementing and sustaining QA activities. Core QA activities include defining, measuring and improving quality. The essential elements are grouped under three categories: the internal enabling environment (internal to the organization or system), organizing for quality, and support functions. The enabling environment contains the essential elements of leadership, policy, core values, and resources. Organizing for quality includes the structure for implementing QA. Three essential elements are primarily support functions: capacity building, communication and information, and rewarding quality. The model can be applied at the level of an organization or a system. The paper also describes the process of institutionalizing QA, starting from a state of preawareness, passing through four phases (awareness, experiential, expansion, and consolidation), and culminating in a state of maturity. The process is not linear; an organization may regress, vacillate between phases, or even remain stagnant. Some phases (e.g. awareness and experiential) may occur simultaneously. The framework has been introduced in nearly a dozen countries in Latin America and Africa. The conceptual model has been used to support strategic planning and directing Ministry of Health work plans, and also as a resource for determining the elements necessary to strengthen and sustain QA. The next step will be the development and evaluation of an assessment tool to monitor developmental progress in the institutionalization of QA.
MAP OF ECOREGIONS OF MISSISSIPPI
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecore...
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. Ecoreg...
Quality Health Care for Children and the Affordable Care Act: A Voltage Drop Checklist
Wise, Paul H.; Halfon, Neal
2014-01-01
The Affordable Care Act (ACA) introduces enormous policy changes to the health care system with several anticipated benefits and a growing number of unanticipated challenges for child and adolescent health. Because the ACA gives each state and their payers substantial autonomy and discretion on implementation, understanding potential effects will require state-by-state monitoring of policies and their impact on children. The “voltage drop” framework is a useful interpretive guide for assessing the impact of insurance market change on the quality of care received. Using this framework we suggest a state-level checklist to examine ACA statewide implementation, assess its impact on health care delivery, and frame policy correctives to improve child health system performance. Although children’s health care is a small part of US health care spending, child health provides the foundation for adult health and must be protected in ACA implementation. PMID:25225140
Theadore, Fred; Jellison, James B.
2012-01-01
Currently, public health emergency preparedness (PHEP) is not well defined. Discussions about public health preparedness often make little progress, for lack of a shared understanding of the topic. We present a concise yet comprehensive framework describing PHEP activities. The framework, which was refined for 3 years by state and local health departments, uses terms easily recognized by the public health workforce within an information flow consistent with the National Incident Management System. To assess the framework's completeness, strengths, and weaknesses, we compare it to 4 other frameworks: the RAND Corporation's PREPARE Pandemic Influenza Quality Improvement Toolkit, the National Response Framework's Public Health and Medical Services Functional Areas, the National Health Security Strategy Capabilities List, and the Centers for Disease Control and Prevention's PHEP Capabilities. PMID:22397343
Mishra, Harshit; Rathod, Merwan; Karmakar, Subhankar; Kumar, Rakesh
2016-06-01
Rapid industrialisation, growing population and changing lifestyles are the root causes for the generation of huge amounts of solid waste in developing countries. In India, disposal of municipal solid waste (MSW) through open dumping is the most common waste disposal method. Unfortunately, leachate generation from landfill is high due to the prolonged and prominent monsoon season in India. As leachate generation rate is high in most of the tropical countries, long-term and extensive monitoring efforts are expected to evaluate actual environmental pollution potential due to leachate contamination. However, the leachate characterisation involves a comprehensive process, which has numerous shortcomings and uncertainties possibly due to the complex nature of landfilling process, heterogeneous waste characteristics, widely varying hydrologic conditions and selection of analytes. In order to develop a sustainable MSW management strategy for protecting the surface and ground water resources, particularly from MSW landfill leachate contamination, assessment and characterisation of leachate are necessary. Numerous studies have been conducted in the past to characterise leachate quality from various municipal landfills; unfortunately, none of these propose a framework or protocol. The present study proposes a generic framework for municipal landfill leachate assessment and characterisation. The proposed framework can be applied to design any type of landfill leachate quality monitoring programme and also to facilitate improved leachate treatment activities. A landfill site located at Turbhe, Navi Mumbai, India, which had not been investigated earlier, has been selected as a case study. The proposed framework has been demonstrated on the Turbhe landfill site which is a comparatively new and the only sanitary landfill in Navi Mumbai.
dos Santos, Camila Mello; Martins, Aline Blaya; de Marchi, Renato José; Hilgert, Juliana Balbinot; Hugo, Fernando Neves; Padilha, Dalva Maria Pereira
2013-09-01
To describe changes in oral health-related quality of life and to evaluate the associations of these changes in community-dwelling older people. In this longitudinal study a representative sample of 872 older people, living in Brazil, was evaluated during 2004. The follow-up was carried out during 2008, with 587 older persons evaluated. A questionnaire assessing socio-demographic information, health history, oral health-impact profile and number of natural teeth was used. Changes in oral health-related quality of life were categorized as improvement or deterioration. Data analysis was performed using a hierarchical approach based in a conceptual framework. A hierarchal approach was carried out using Poisson regressions. Older persons living in rural areas, those who reported brushing once a day or less and older persons with fewer natural teeth had an increased chance of reporting deterioration in oral health-related quality of life. Women and participants who received a minimum wage of less than US $219.50 were more likely to report improvement in oral health-related quality of life. The results of this study suggest that changes in the oral health-related quality of life are influenced by many of the variables that were included in the conceptual framework. © 2012 John Wiley & Sons A/S and The Gerodontology Society. Published by John Wiley & Sons Ltd.
Chambers, Duncan; Wilson, Paul
2012-07-09
We have developed a framework for translating existing sources of synthesized and quality-assessed evidence, primarily systematic reviews, into actionable messages in the form of short accessible briefings. The service aims to address real-life problems in response to requests from decision-makers.Development of the framework was based on a scoping review of existing resources and our initial experience with two briefing topics, including models of service provision for young people with eating disorders. We also drew on previous experience in dissemination research and practice. Where appropriate, we made use of the SUPporting POlicy relevant Reviews and Trials (SUPPORT) tools for evidence-informed policymaking. To produce a product that it is fit for this purpose it has been necessary to go beyond a traditional summary of the available evidence relating to effectiveness. Briefings have, therefore, included consideration of cost effectiveness, local applicability, implications relating to local service delivery, budgets, implementation and equity. Our first evidence briefings produced under this framework cover diagnostic endoscopy by specialist nurses and integrated care pathways in mental healthcare settings. The framework will enable researchers to present and contextualize evidence from systematic reviews and other sources of synthesized and quality-assessed evidence. The approach is designed to address the wide range of questions of interest to decision-makers, especially those commissioning services or managing service delivery and organization in primary or secondary care. Evaluation of the use and usefulness of the evidence briefings we produce is an integral part of the framework and will help to fill a gap in the literature.
De Lusignan, Simon; Liyanage, Harshana; Di Iorio, Concetta Tania; Chan, Tom; Liaw, Siaw-Teng
2016-01-19
The use of health data for public health, surveillance, quality improvement and research is crucial to improve health systems and health care. However, bodies responsible for privacy and ethics often limit access to routinely collected health data. Ethical approvals, issues around protecting privacy and data access are often dealt with by different layers of regulations, making approval processes appear disjointed. To create a comprehensive framework for defining the ethical and privacy status of a project and for providing guidance on data access. The framework comprises principles and related questions. The core of the framework will be built using standard terminology definitions such as ethics-related controlled vocabularies and regional directives. It is built in this way to reduce ambiguity between different definitions. The framework is extensible: principles can be retired or added to, as can their related questions. Responses to these questions should allow data processors to define ethical issues, privacy risk and other unintended consequences. The framework contains three steps: (1) identifying possible ethical and privacy principles relevant to the project; (2) providing ethics and privacy guidance questions that inform the type of approval needed; and (3) assessing case-specific ethics and privacy issues. The outputs from this process should inform whether the balance between public interests and privacy breach and any ethical considerations are tipped in favour of societal benefits. If they are then this should be the basis on which data access is permitted. Tightly linking ethical principles to governance and data access may help maintain public trust.
What is a good life? Selecting capabilities to assess women's quality of life in rural Malawi.
Greco, Giulia; Skordis-Worrall, Jolene; Mkandawire, Bryan; Mills, Anne
2015-04-01
There is growing interest in using Sen's Capability Approach to assess quality of life and to evaluate social policies. This paper describes the formative stages of developing a quality of life measure: the selection of the relevant capabilities. This measure is intended to provide a more comprehensive outcome measure for the evaluation of complex interventions such as Maimwana womens' groups, a community based participatory intervention to improve maternal health in rural Malawi. Fifteen focus group discussions with 129 women were conducted to explore relevant concepts of quality of life in rural Malawi. Data collection started in October 2009. Findings were elicited based on framework analysis. The findings portray a complex and highly nuanced perception that women in rural Malawi have of their life and wellbeing. Quality of life was described using a variety of dimensions that are highly interconnected. Quality of life emerges to be not only shaped by the realisation of basic material needs such as being sufficiently nourished and adequately sheltered, but is also highly dependent on complex feelings, relations and social norms. The full exposition of wellbeing with its domains was organised into a framework constituting six different spheres of wellbeing: physical strength, inner wellbeing, household wellbeing, community relations, economic security and happiness. Despite the list being developed in a specific context and for a specific group of people, the similarities with lists developed in other contexts, with different methods and for different purposes, are considerable. This suggests that there are a number of core aspects of wellbeing considered a minimum requirement for a life of human dignity, that should be included in any attempt to assess quality of life and human development across populations. Copyright © 2015 Elsevier Ltd. All rights reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tallis, Heather, E-mail: htallis@tnc.org; Kennedy, Christina M., E-mail: ckennedy@tnc.org; Ruckelshaus, Mary
Emerging development policies and lending standards call for consideration of ecosystem services when mitigating impacts from development, yet little guidance exists to inform this process. Here we propose a comprehensive framework for advancing both biodiversity and ecosystem service mitigation. We have clarified a means for choosing representative ecosystem service targets alongside biodiversity targets, identified servicesheds as a useful spatial unit for assessing ecosystem service avoidance, impact, and offset options, and discuss methods for consistent calculation of biodiversity and ecosystem service mitigation ratios. We emphasize the need to move away from area- and habitat-based assessment methods for both biodiversity and ecosystemmore » services towards functional assessments at landscape or seascape scales. Such comprehensive assessments more accurately reflect cumulative impacts and variation in environmental quality, social needs and value preferences. The integrated framework builds on the experience of biodiversity mitigation while addressing the unique opportunities and challenges presented by ecosystem service mitigation. These advances contribute to growing potential for economic development planning and execution that will minimize impacts on nature and maximize human wellbeing. - Highlights: • This is the first framework for biodiversity and ecosystem service mitigation. • Functional, landscape scale assessments are ideal for avoidance and offsets. • Servicesheds define the appropriate spatial extent for ecosystem service mitigation. • Mitigation ratios should be calculated consistently and based on standard factors. • Our framework meets the needs of integrated mitigation assessment requirements.« less
Reinders, Hans S; Schalock, Robert L
2014-07-01
This article presents the framework of a dynamic approach to quality of life (QOL) enhancement based on the conceptualization and measurement of individual-referenced quality of life. Sections of the article summarize the premises of QOL enhancement, provide the rationale for a dynamic approach to QOL enhancement, discuss six components of QOL enhancement, and discuss the parameters of an emerging theory of quality of life and the contributions such a theory would make to service delivery, policy development, and QOL-related research.
LEVEL III AND IV ECOREGIONS OF FLORIDA
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem compon...
LEVEL III AND IV ECOREGIONS OF WISCONSIN
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem compon...
Framework for the quantitative weight-of-evidence analysis of 'omics data for regulatory purposes.
Bridges, Jim; Sauer, Ursula G; Buesen, Roland; Deferme, Lize; Tollefsen, Knut E; Tralau, Tewes; van Ravenzwaay, Ben; Poole, Alan; Pemberton, Mark
2017-12-01
A framework for the quantitative weight-of-evidence (QWoE) analysis of 'omics data for regulatory purposes is presented. The QWoE framework encompasses seven steps to evaluate 'omics data (also together with non-'omics data): (1) Hypothesis formulation, identification and weighting of lines of evidence (LoEs). LoEs conjoin different (types of) studies that are used to critically test the hypothesis. As an essential component of the QWoE framework, step 1 includes the development of templates for scoring sheets that predefine scoring criteria with scores of 0-4 to enable a quantitative determination of study quality and data relevance; (2) literature searches and categorisation of studies into the pre-defined LoEs; (3) and (4) quantitative assessment of study quality and data relevance using the respective pre-defined scoring sheets for each study; (5) evaluation of LoE-specific strength of evidence based upon the study quality and study relevance scores of the studies conjoined in the respective LoE; (6) integration of the strength of evidence from the individual LoEs to determine the overall strength of evidence; (7) characterisation of uncertainties and conclusion on the QWoE. To put the QWoE framework in practice, case studies are recommended to confirm the relevance of its different steps, or to adapt them as necessary. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
Individual Quality of Life: Can It Be Accounted for by Psychological or Subjective Well-Being?
ERIC Educational Resources Information Center
Ring, L.; Hofer, S.; McGee, H.; Hickey, A.; O'Boyle, C. A.
2007-01-01
There is ongoing discussion in the scientific literature about the need for a more theoretical foundation to underpin quality of life (QoL) measurement. This paper applied Keyes et al.'s ["J. Pers. Soc. Psychol." 82 (2002) 1007] model of well-being as a framework to assess whether respondents (n = 136 students) focus on elements of subjective…
Pennelli, Bruno; Nagel, Karl-Otto; Crivellaro, Giuseppe; Fabiani, Claudio; Vancova, Alexandra; Mancini, Laura
2006-04-01
The European Union Water Framework Directive requires the achievement of environmental objectives for the ecological quality of water bodies. A comparable implementation of the Directive throughout member countries of the European Union is necessary to verify equal protection of surface waters. The Directive specifies that member states determine ecological quality by means of biological indices. To improve comparability of water quality assessment, this research carried out an intercalibration trial between the Slovak Saprobic Index and the Italian protocol of the Extended Biotic Index, as part of a cooperative program between Italy and the Slovak Republic. When assessing streams with no or low pollution, statistics showed similar results for both methods. In contrast, the comparison of indices was not accurate in the case of severely affected waters. Reliable conversion formulas are feasible to transform the Italian Extended Biotic Index into the Slovak Saprobic Index, and not vice versa.
A software framework for developing measurement applications under variable requirements.
Arpaia, Pasquale; Buzio, Marco; Fiscarelli, Lucio; Inglese, Vitaliano
2012-11-01
A framework for easily developing software for measurement and test applications under highly and fast-varying requirements is proposed. The framework allows the software quality, in terms of flexibility, usability, and maintainability, to be maximized. Furthermore, the development effort is reduced and finalized, by relieving the test engineer of development details. The framework can be configured for satisfying a large set of measurement applications in a generic field for an industrial test division, a test laboratory, or a research center. As an experimental case study, the design, the implementation, and the assessment inside the application to a measurement scenario of magnet testing at the European Organization for Nuclear Research is reported.
Reviews of theoretical frameworks: Challenges and judging the quality of theory application.
Hean, Sarah; Anderson, Liz; Green, Chris; John, Carol; Pitt, Richard; O'Halloran, Cath
2016-06-01
Rigorous reviews of available information, from a range of resources, are required to support medical and health educators in their decision making. The aim of this article is to highlight the importance of a review of theoretical frameworks specifically as a supplement to reviews that focus on a synthesis of the empirical evidence alone. Establishing a shared understanding of theory as a concept is highlighted as a challenge and some practical strategies to achieving this are presented. This article also introduces the concept of theoretical quality, arguing that a critique of how theory is applied should complement the methodological appraisal of the literature in a review. We illustrate the challenge of establishing a shared meaning of theory through reference to experiences of an on-going review of this kind conducted in the field of interprofessional education (IPE) and use a high scoring paper selected in this review to illustrate how theoretical quality can be assessed. In reaching a shared understanding of theory as a concept, practical strategies that promote experiential and practical ways of knowing are required in addition to more propositional ways of sharing knowledge. Concepts of parsimony, testability, operational adequacy and empirical adequacy are explored as concepts that establish theoretical quality. Reviews of theoretical frameworks used in medical education are required to inform educational practice. Review teams should make time and effort to reach a shared understanding of the term theory. Theory reviews, and reviews more widely, should add an assessment of theory application to the protocol of their review method.
Achleitner, Stefan; De Toffol, Sara; Engelhard, Carolina; Rauch, Wolfgang
2005-04-01
The European Water framework directive (WFD) is probably the most important environmental management directive that has been enacted over the last decade in the European Union. The directive aims at achieving an overall good ecological status in all European water bodies. In this article, we discuss the implementation steps of the WFD and their implications for environmental engineering practice while focusing on rivers as the main receiving waters. Arising challenges for engineers and scientists are seen in the quantitative assessment of water quality, where standardized systems are needed to estimate the biological status. This is equally of concern in engineering planning, where the prediction of ecological impacts is required. Studies dealing with both classification and prediction of the ecological water quality are reviewed. Further, the combined emission-water quality approach is discussed. Common understanding of this combined approach is to apply the most stringent of either water quality or emission standard to a certain case. In contrast, for example, the Austrian water act enables the application of only the water quality based approach--at least on a temporary basis.
Nicol, Sam; Wiederholt, Ruscena; Diffendorfer, James E.; Mattsson, Brady; Thogmartin, Wayne E.; Semmens, Darius J.; Laura Lopez-Hoffman,; Norris, Ryan
2016-01-01
Mobile species with complex spatial dynamics can be difficult to manage because their population distributions vary across space and time, and because the consequences of managing particular habitats are uncertain when evaluated at the level of the entire population. Metrics to assess the importance of habitats and pathways connecting habitats in a network are necessary to guide a variety of management decisions. Given the many metrics developed for spatially structured models, it can be challenging to select the most appropriate one for a particular decision. To guide the management of spatially structured populations, we define three classes of metrics describing habitat and pathway quality based on their data requirements (graph-based, occupancy-based, and demographic-based metrics) and synopsize the ecological literature relating to these classes. Applying the first steps of a formal decision-making approach (problem framing, objectives, and management actions), we assess the utility of metrics for particular types of management decisions. Our framework can help managers with problem framing, choosing metrics of habitat and pathway quality, and to elucidate the data needs for a particular metric. Our goal is to help managers to narrow the range of suitable metrics for a management project, and aid in decision-making to make the best use of limited resources.
Water quality data for selected wells in the Coastal Plain of New Jersey, 1996-98
Hibbs, Kathleen L.; Stackelberg, Paul E.; Kauffman, Leon J.; Ayers, Mark A.
2001-01-01
Water-quality data were collected during 1996-98 for 217 wells in New Jersey and 3 wells in New York as part of the U. S. Geological Survey's National Water Quality Assessment Program. Samples were collected for five ground-water surveys that were designed to assess water quality in major aquifer systems, with an emphasis on recently recharged (shallow) ground water associated with present and recent human activities. This report (1) summarizes the hydrogeologic framework in the areas of data collection; (2) describes the objectives and procedures for designing each ground-water survey; (3) summarizes the procedures and protocols for data collec-tion, analysis, and quality control; and (4) lists the concentrations of inorganic constituents, volatile organic compounds, pesticides, nutrients, and trace elements present in the ground-water samples.
LEVEL III AND IV ECOREGIONS OF OKLAHOMA
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By rec...
LEVEL III AND IV ECOREGIONS OF NEBRASKA
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By re...
LEVEL III AND IV ECOREGIONS OF EPA REGION 7
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem compon...
LEVEL III AND IV ECOREGIONS OF KANSAS
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By re...
Vidal-Abarca, M R; Santos-Martín, F; Martín-López, B; Sánchez-Montoya, M M; Suárez Alonso, M L
2016-06-01
We explored the capacity of the biological and hydromorphological indices used in the Water Framework Directive (WFD) to assess ecosystem services by evaluating the ecological status of Spanish River Basins. This analysis relies on an exhaustive bibliography review which showed scientific evidence of the interlinkages between some ecosystem services and different hydromorphological and biological elements which have been used as indices in the WFD. Our findings indicate that, of a total of 38 ecosystem services analyzed, biological and hydromorphological indices can fully evaluate four ecosystem services. In addition, 18 ecosystem services can be partly evaluated by some of the analyzed indices, while 11 are not related with the indices. While Riparian Forest Quality was the index that was able to assess the largest number of ecosystem services (N = 12), the two indices of macrophytes offered very poor guarantees. Finally, biological indices related to diatoms and aquatic invertebrates and the Fluvial Habitat Index can be related with 7, 6, and 6 ecosystem services, respectively. Because the WFD indices currently used in Spain are not able to assess most of the ecosystem services analyzed, we suggest that there is potential to develop the second phase of the WFD implementation taking this approach into consideration. The incorporation of the ecosystem services approach into the WFD could provide the framework for assess the impacts of human activities on the quality of fluvial ecosystems and could give insights for water and watershed management in order to guarantee the delivery of multiple ecosystem services.
Neumann, Peter J; Willke, Richard J; Garrison, Louis P
2018-02-01
Concerns about rising spending on prescription drugs and other areas of health care have led to multiple initiatives in the United States designed to measure and communicate the value of pharmaceuticals and other technologies for decision making. In this section we introduce the work of the International Society for Pharmacoeconomics and Outcomes Research Special Task Force on US Value Assessment Frameworks formed to review relevant perspectives and appropriate approaches and methods to support the definition and use of high-quality value frameworks. The Special Task Force was part of the International Society for Pharmacoeconomics and Outcomes Research Initiative on US Value Assessment Frameworks, which enlisted the expertise of leading health economists, concentrating on what the field of health economics can provide to help inform the development and use of value assessment frameworks. We focus on five value framework initiatives: the American College of Cardiology/American Heart Association, the American Society of Clinical Oncology, the Institute for Clinical and Economic Review, the Memorial Sloan Kettering Cancer Center, and the National Comprehensive Cancer Network. These entities differ in their missions, scope of activities, and methodological approaches. Because they are gaining visibility and some traction in the United States, it is essential to scrutinize whether the frameworks use approaches that are transparent as well as conceptually and methodologically sound. Our objectives were to describe the conceptual bases for value and its use in decision making, critically examine existing value frameworks, discuss the importance of sound conceptual underpinning, identify key elements of value relevant to specific decision contexts, and recommend good practice in value definition and implementation as well as areas for further research. Copyright © 2018 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Chhapola, Viswas; Tiwari, Soumya; Deepthi, Bobbity; Henry, Brandon Michael; Brar, Rekha; Kanwal, Sandeep Kumar
2018-06-01
A plethora of research is available on ultrasonographic kidney size standards. We performed a systematic review of methodological quality of ultrasound studies aimed at developing normative renal parameters in healthy children, by evaluating the risk of bias (ROB) using the 'Anatomical Quality Assessment (AQUA)' tool. We searched Medline, Scopus, CINAHL, and Google Scholar on June 04 2018, and observational studies measuring kidney size by ultrasonography in healthy children (0-18 years) were included. The ROB of each study was evaluated in five domains using a 20 item coding scheme based on AQUA tool framework. Fifty-four studies were included. Domain 1 (subject characteristics) had a high ROB in 63% of studies due to the unclear description of age, sex, and ethnicity. The performance in Domain 2 (study design) was the best with 85% of studies having a prospective design. Methodological characterization (Domain 3) was poor across the studies (< 10% compliance), with suboptimal performance in the description of patient positioning, operator experience, and assessment of intra/inter-observer reliability. About three-fourth of the studies had a low ROB in Domain 4 (descriptive anatomy). Domain 5 (reporting of results) had a high ROB in approximately half of the studies, the majority reporting results in the form of central tendency measures. Significant deficiencies and heterogeneity were observed in the methodological quality of USG studies performed to-date for measurement of kidney size in children. We hereby provide a framework for the conducting such studies in future. PROSPERO (CRD42017071601).
ERIC Educational Resources Information Center
Marques, Marcelo; Powell, Justin J. W.; Zapp, Mike; Biesta, Gert
2017-01-01
Research evaluation systems in many countries aim to improve the quality of higher education. Among the first of such systems, the UK's Research Assessment Exercise (RAE) dating from 1986 is now the Research Excellence Framework (REF). Highly institutionalised, it transforms research to be more accountable. While numerous studies describe the…
ERIC Educational Resources Information Center
Herman, Joan L.; Choi, Kilchan
2008-01-01
This article articulates a framework for examining the quality of formative assessment practice and provides empirical evidence in support of one of its components. Based on a study of middle school science, the study examines the accuracy of teachers' judgments of students' understanding and the relationship of such accuracy to middle school …
ERIC Educational Resources Information Center
Walker, Ruth
2010-01-01
Five years after implementation, the Certificate IV in Training and Assessment (TAA40104, and hereafter also referred to as the Certificate IV) remains a pivotal qualification in the national vocational education and training (VET) system. Under the Australian Quality Training Framework (AQTF) it is the qualification required by both workplace…
Palacio-Torralba, Javier; Hammer, Steven; Good, Daniel W; Alan McNeill, S; Stewart, Grant D; Reuben, Robert L; Chen, Yuhang
2015-01-01
Although palpation has been successfully employed for centuries to assess soft tissue quality, it is a subjective test, and is therefore qualitative and depends on the experience of the practitioner. To reproduce what the medical practitioner feels needs more than a simple quasi-static stiffness measurement. This paper assesses the capacity of dynamic mechanical palpation to measure the changes in viscoelastic properties that soft tissue can exhibit under certain pathological conditions. A diagnostic framework is proposed to measure elastic and viscous behaviors simultaneously using a reduced set of viscoelastic parameters, giving a reliable index for quantitative assessment of tissue quality. The approach is illustrated on prostate models reconstructed from prostate MRI scans. The examples show that the change in viscoelastic time constant between healthy and cancerous tissue is a key index for quantitative diagnostics using point probing. The method is not limited to any particular tissue or material and is therefore useful for tissue where defining a unique time constant is not trivial. The proposed framework of quantitative assessment could become a useful tool in clinical diagnostics for soft tissue. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.
Deriving Chesapeake Bay Water Quality Standards
Tango, Peter J.; Batiuk, Richard A.
2013-01-01
Achieving and maintaining the water quality conditions necessary to protect the aquatic living resources of the Chesapeake Bay and its tidal tributaries has required a foundation of quantifiable water quality criteria. Quantitative criteria serve as a critical basis for assessing the attainment of designated uses and measuring progress toward meeting water quality goals of the Chesapeake Bay Program partnership. In 1987, the Chesapeake Bay Program partnership committed to defining the water quality conditions necessary to protect aquatic living resources. Under section 303(c) of the Clean Water Act, States and authorized tribes have the primary responsibility for adopting water quality standards into law or regulation. The Chesapeake Bay Program partnership worked with U.S. Environmental Protection Agency to develop and publish a guidance framework of ambient water quality criteria with designated uses and assessment procedures for dissolved oxygen, water clarity, and chlorophyll a for Chesapeake Bay and its tidal tributaries in 2003. This article reviews the derivation of the water quality criteria, criteria assessment protocols, designated use boundaries, and their refinements published in six addendum documents since 2003 and successfully adopted into each jurisdiction's water quality standards used in developing the Chesapeake Bay Total Maximum Daily Load.
FRAMEWORK FOR DEVELOPING AMBIENT WATER ...
Currently, Ambient Water Quality Criteria (AWQC) for aquatic life protection are derived according to the Guidelines for Derivation of Ambient Water Quality Criteria for the Protection of Aquatic Life and Their Uses, published in 1985. To ensure that AWQC are derived from the best available science, Office of Water assessed the need to update the Guidelines and identified issues that should be addressed in the revisions. In December 2002, EPA's Science Advisory Board concurred with EPA's assessment of the need to update the Guidelines as well as with the issues EPA identified to address. Updating the Guidelines is a Priority Strategic Action included in OST's Strategy for Water Quality Standards and Criteria (Next Priority Strategic Action #1). To revise existing methodology for deriving ambient water quality criteria for the protection of aquatic life.
A framework of teaching competencies across the medical education continuum.
Molenaar, W M; Zanting, A; van Beukelen, P; de Grave, W; Baane, J A; Bustraan, J A; Engbers, R; Fick, Th E; Jacobs, J C G; Vervoorn, J M
2009-05-01
The quality of teachers in higher education is subject of increasing attention, as exemplified by the development and implementation of guidelines for teacher qualifications at Universities in The Netherlands. Because medical education takes a special position in higher education the Council of Deans of Medical Schools in The Netherlands installed a national task force to explore a method to weigh criteria for teacher qualifications of medical teachers. A framework was developed covering competencies of teachers throughout the medical education continuum and including medicine, dentistry and veterinary medicine. The framework distinguishes 3 dimensions: (a) six domains of teaching (development - organization - execution - coaching - assessment - evaluation); (b) three levels in the organization at which teachers perform (micro, meso and macro level) and (c) competencies as integration of knowledge, skills and attitude and described as behaviour in specific context. The current framework is the result of several cycles of descriptions, feedback from the field and adaptations. It is meant as a guideline, leaving room for local detailing. The framework provides a common language that may be used not only by teachers and teacher trainers, but also by quality assurance committees, human resource managers and institutional boards.
Braithwaite, Jeffrey; Hibbert, Peter; Blakely, Brette; Plumb, Jennifer; Hannaford, Natalie; Long, Janet Cameron; Marks, Danielle
2017-01-01
Objectives: Performance indicators are a popular mechanism for measuring the quality of healthcare to facilitate both quality improvement and systems management. Few studies make comparative assessments of different countries’ performance indicator frameworks. This study identifies and compares frameworks and performance indicators used in selected Organisation for Economic Co-operation and Development health systems to measure and report on the performance of healthcare organisations and local health systems. Countries involved are Australia, Canada, Denmark, England, the Netherlands, New Zealand, Scotland and the United States. Methods: Identification of comparable international indicators and analyses of their characteristics and of their broader national frameworks and contexts were undertaken. Two dimensions of indicators – that they are nationally consistent (used across the country rather than just regionally) and locally relevant (measured and reported publicly at a local level, for example, a health service) – were deemed important. Results: The most commonly used domains in performance frameworks were safety, effectiveness and access. The search found 401 indicators that fulfilled the ‘nationally consistent and locally relevant’ criteria. Of these, 45 indicators are reported in more than one country. Cardiovascular, surgery and mental health were the most frequently reported disease groups. Conclusion: These comparative data inform researchers and policymakers internationally when designing health performance frameworks and indicator sets. PMID:28228948
2011-01-01
Background Caregiver interventions may help improve the quality of informal care. Yet the lack of a systematic framework specifying the targets and outcomes of caregiver interventions hampers our ability to understand what has been studied, to evaluate existing programs, and to inform the design of future programs. Our goal was to develop an organizing framework detailing the components of the caregiving activities and the caregiver and care recipient outcomes that should be affected by an intervention. In so doing, we characterize what has been measured in the published literature to date and what should be measured in future studies to enable comparisons across interventions and across time. Methods Our data set comprises 121 reports of caregiver interventions conducted in the United States and published between 2000 and 2009. We extracted information on variables that have been examined as primary and secondary outcomes. These variables were grouped into categories, which then informed the organizing framework. We calculated the frequency with which the interventions examined each framework component to identify areas about which we have the most knowledge and under-studied areas that deserve attention in future research. Results The framework stipulates that caregiver interventions seek to change caregiving activities, which in turn affect caregiver and care recipient outcomes. The most frequently assessed variables have been caregiver psychological outcomes (especially depression and burden) and care recipient physical and health care use outcomes. Conclusions Based on the organizing framework, we make three key recommendations to guide interventions and inform research and policy. First, all intervention studies should assess quality and/or quantity of caregiving activities to help understand to what extent and how well the intervention worked. Second, intervention studies should assess a broad range of caregiver and care recipient outcomes, including considering whether expanding to economic status and health care use of the caregiver can be accommodated, to ease subsequent economic evaluations of caregiving. Third, intervention studies should measure a common set of outcomes to facilitate cross-time and cross-study comparisons of effectiveness. PMID:22107600
AN INTEGRATED FRAMEWORK FOR WATERSHED ASSESSMENT AND MANAGEMENT
Watershed approaches to water quality management have become popular, because they can address multiple point and non-point sources and the influences of land use. Developing technically-sound watershed management strategies can be challenging due to the need to 1) account for mu...
LEVEL III AND IV ECOREGIONS OF MASSACHUSETTS, CONNECTICUT, NAD RHODE ISLAND
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem compo...
LEVEL III AND IV ECOREGIONS OF KANSAS AND NEBRASKA
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By re...
LEVEL III AND IV ECOREGIONS OF THE CONTINENTAL UNITED STATES
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By rec...
Masanganise, Kaurai E; Matope, Gift; Pfukenyi, Davies M
2013-01-01
The purpose of this study was to explore the audits, quality assurance (QA) programmes and legal frameworks used in selected abattoirs in Zimbabwe and slaughterhouse workers' perceptions on their effectiveness. Data on slaughterhouse workers was gathered through a self-completed questionnaire and additional information was obtained from slaughterhouse and government records. External auditing was conducted mainly by the Department of Veterinary Public Health with little contribution from third parties. Internal auditing was restricted to export abattoirs. The checklist used on auditing lacked objective assessment criteria and respondents cited several faults in the current audit system. Most respondents (> 50.0%) knew the purposes and benefits of audit and QA inspections. All export abattoirs had QA programmes such as hazard analysis critical control point and ISO 9001 (a standard used to certify businesses' quality management systems) but their implementation varied from minimal to nil. The main regulatory defect observed was lack of requirements for a QA programme. Audit and quality assurance communications to the selected abattoirs revealed a variety of non-compliances with most respondents revealing that corrective actions to audit (84.3%) and quality assurance (92.3%) shortfalls were not done. A high percentage of respondents indicated that training on quality (76.8%) and regulations (69.8%) was critical. Thus, it is imperative that these abattoirs develop a food safety management system comprising of QA programmes, a microbial assessment scheme, regulatory compliance, standard operating procedures, internal and external auditing and training of workers.
Clinical governance is "ACE"--using the EFQM excellence model to support baseline assessment.
Holland, K; Fennell, S
2000-01-01
The introduction of clinical governance in the "new NHS" means that National Health Service (NHS) organisations are now accountable for the quality of the services they provide to their local communities. As part of the implementation of clinical governance in the NHS, Trusts and health authorities had to complete a baseline assessment of their capability and capacity by September 1999. Describes one Trust's approach to developing and implementing its baseline assessment tool, based upon its existing use of the European Foundation for Quality Management (EFQM) Excellence Model. An initial review of the process suggests that the model provides an adaptable framework for the development of a comprehensive and practical assessment tool and that self-assessment ensures ownership of action plans at service level.
Assessing the quality of healthcare provided to children.
Mangione-Smith, R; McGlynn, E A
1998-10-01
To present a conceptual framework for evaluating quality of care for children and adolescents, summarize the key issues related to developing measures to assess pediatric quality of care, examine some existing measures, and present evidence about their current level of performance. Assessing the quality of care for children poses many challenges not encountered when making these measurements in the adult population. Children and adolescents (from this point forward referred to collectively as children unless differentiation is necessary) differ from adults in two clinically important ways (Jameson and Wehr 1993): (1) their normal developmental trajectory is characterized by change, and (2) they have differential morbidity. These factors contribute to the limitations encountered when developing measures to assess the quality of care for children. The movement of a child through the various stages of development makes it difficult to establish what constitutes a "normal" outcome and by extension what constitutes a poor outcome. Additionally, salient developmental outcomes that result from poor quality of care may not be observed for several years. This implies that poor outcomes may be observed when the child is receiving care from a delivery system other than the one that provided the low-quality care. Attributing the suboptimal outcome to the new delivery system would be inappropriate. Differential morbidity refers to the fact that the type, prevalence, and severity of illness experienced by children is measurably different from that observed in adults. Most children experience numerous self-limited illness of mild severity. A minority of children suffer from markedly more severe diseases. Thus, condition-specific measures in children are problematic to implement for routine assessments because of the extremely low incidence and prevalence of most severe pediatric diseases (Halfon 1996). However, children with these conditions are potentially the segment of the pediatric population that can be most affected by variations in the quality of care. Improving the care provided to these children is likely to have the largest impact on quality of life and longevity. The low prevalence of most severe pediatric diseases also makes it difficult to evaluate the effectiveness of new treatment modalities; multi-center trials or long enrollment periods are usually required to obtain a large enough patient sample to conduct the necessary randomized controlled trials or cohort studies. Another challenge encountered when measuring quality of care for children is that, in most cases, they depend on adults to both obtain care and to report on the outcomes of that care. Parents and their children may have different perceptions of what defines health or have different levels of satisfaction with the care they receive. Children, particularly those with special needs, also depend on a broad range of services including the medical system, community intervention programs, social programs, and school-based services. Dependency on these various services adds to the difficulty of measuring and appropriately attributing health outcomes observed in children to a particular service delivery entity. Adolescents also depend on adults for access to some of their care; however, they have special needs related to confidentiality and parent-child information sharing. Adolescents commonly seek care at facilities, such as school-based clinics, that allow them to obtain confidential care. These facilities usually provide out-of-health plan care for these children, which raises special issues related to information availability for quality assessments and for assessing utilization patterns in this population. If the source of poor health outcomes is not known, quality improvement is not possible. The many challenges faced when constructing pediatric (this term will be used to refer to both children and adolescents) quality of care measures have resulted in few of these instruments being developed specifically for children. Most of the measures developed to date have either a very limited pediatric component or still require the process or outcome validation step. Although several practice guidelines and indicators of quality have been constructed, a conceptual framework to guide the development of such tools for quality assessment in the pediatric population is lacking. Pediatric health services researchers and the organizations that fund this work need to focus on developing a set of quality assessment tools that will address several challenging issues. Working within the context of the conceptual framework presented, we draw several conclusions related to issues that should be considered in developing quality of care measures for children.
Maruya, Keith A; Dodder, Nathan G; Mehinto, Alvine C; Denslow, Nancy D; Schlenk, Daniel; Snyder, Shane A; Weisberg, Stephen B
2016-07-01
The chemical-specific risk-based paradigm that informs monitoring and assessment of environmental contaminants does not apply well to the many thousands of new chemicals that are being introduced into ambient receiving waters. We propose a tiered framework that incorporates bioanalytical screening tools and diagnostic nontargeted chemical analysis to more effectively monitor for contaminants of emerging concern (CECs). The framework is based on a comprehensive battery of in vitro bioassays to first screen for a broad spectrum of CECs and nontargeted analytical methods to identify bioactive contaminants missed by the currently favored targeted analyses. Water quality managers in California have embraced this strategy with plans to further develop and test this framework in regional and statewide pilot studies on waterbodies that receive discharge from municipal wastewater treatment plants and stormwater runoff. In addition to directly informing decisions, the data obtained using this framework can be used to construct and validate models that better predict CEC occurrence and toxicity. The adaptive interplay among screening results, diagnostic assessment and predictive modeling will allow managers to make decisions based on the most current and relevant information, instead of extrapolating from parameters with questionable linkage to CEC impacts. Integr Environ Assess Manag 2016;12:540-547. © 2015 SETAC. © 2015 SETAC.
A framework for the evaluation of patient information leaflets
Garner, Mark; Ning, Zhenye; Francis, Jill
2011-01-01
Abstract Background The provision of patient information leaflets (PILs) is an important part of health care. PILs require evaluation, but the frameworks that are used for evaluation are largely under‐informed by theory. Most evaluation to date has been based on indices of readability, yet several writers argue that readability is not enough. We propose a framework for evaluating PILs that reflect the central role of the patient perspective in communication and use methods for evaluation based on simple linguistic principles. The proposed framework The framework has three elements that give rise to three approaches to evaluation. Each element is a necessary but not sufficient condition for effective communication. Readability (focussing on text) may be assessed using existing well‐established procedures. Comprehensibility (focussing on reader and text) may be assessed using multiple‐choice questions based on the lexical and semantic features of the text. Communicative effectiveness (focussing on reader) explores the relationship between the emotional, cognitive and behavioural responses of the reader and the objectives of the PIL. Suggested methods for assessment are described, based on our preliminary empirical investigations. Conclusions The tripartite model of communicative effectiveness is a patient‐centred framework for evaluating PILs. It may assist the field in moving beyond readability to broader indicators of the quality and appropriateness of printed information provided to patients. PMID:21332620
Warner, Kelly L.; Arnold, Terri L.
2005-01-01
The glacial aquifer system is the largest principal aquifer in aerial extent and ground-water use for public supply in the United States. A principal aquifer is defined as a regionally extensive aquifer or aquifer system that has the potential to be used as a source of potable water (U.S. Geological Survey, 2003). Multiple aquifers often are grouped into large, extensive aquifer systems such as the glacial aquifer system. The glacial aquifer system is considered here to include all unconsolidated aquifers above bedrock north of the line of continental glaciation throughout the country (fig. 1). Total withdrawals from the glacial aquifer system were 3,560 million gallons per day in 2000, which constitutes almost 5 percent of total withdrawals from all aquifers in the United States (Maupin and Barber, 2005). Approximately 41 million people relied on the glacial aquifer for public supply and domestic use in 2000. The U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program began assessing the glacial aquifer system in 1991. The assessment of water-quality data on a regional scale, such as the glacial aquifer system, is coincident with the regional framework established by the Regional Aquifer-System Analysis Program (RASA) (Sun and others, 1997). From 1978 to 1995, the RASA Program systematically evaluated 25 of the Nation's most important groundwater systems including studies in the glacial aquifer system in the northeast, Midwest, and northern Midwest United States. The NAWQA Program is building on the work of the RASA Program to study the water quality of 16 of the most important ground-water systems (Lapham and others, 2005). Over 1,700 water-quality samples have been collected by the NAWQA Program from 1991 to 2004 to assess the glacial aquifer system. This large data set is unique in that the samples have been collected using a consistent sampling protocol, and multiple nested samples. The nested samples address the recently recharged shallow ground water, deeper water from principal aquifers often used for domestic supply, and source water used for public supplies within the glacial aquifer system. Information concerning the NAWQA Program including study unit boundaries is shown in figure 1 (Lapham and others, 2005). A framework for comparison of water quality across the glacial aquifer system has been developed based on two primary characteristics: intrinsic susceptibility and vulnerability. Intrinsic susceptibility, which is a measure of the ease at which water enters and moves through aquifer material, is a characteristic of the aquifer and overlying material and of the hydrologic conditions. Intrinsic susceptibility is independent of the chemical characteristics of the contaminant and its sources. In this way, intrinsic susceptibility assessments do not target specific natural or anthropogenic sources of contamination but instead consider only the physical factors affecting the flow of water to, and through the ground-water resource (Focazio and others, 2002). On a regional scale, intrinsic susceptibility is represented by the spatial distribution of fine- or coarse-grained material at the land surface, and the physical setting of the aquifer system. Vulnerability, which is a function of both intrinsic susceptibility and the proximity and characteristics of contaminant sources, includes consideration of features related to anthropogenic sources of contaminants, such as the character of the upgradient land use (for example, urban, agricultural, undeveloped, and others); as well as features related to natural sources of contaminants, such as the mineralogy of the aquifer material or the geochemical conditions within the aquifer system. The framework helps categorize this large region into areas of similar hydrogeologic characteristics for which water quality can be compared. The purpose of this report is to describe this framework and how it will be used for regional synthesis of water-quality da
[Updating the problems of human ecology and environmental health and the ways of solving them].
Rakhmanin, Iu A
2012-01-01
Displaying a variety of scientific areas studying the influence of the environment on human health, the state and modern issues of assessment of environmental quality, hygienic standardization of chemical and biological contamination, methodical support of sanitarian and health monitoring and risk assessment of pollution, environmental health, the need for improvement and harmonization with the international instruments of the legal and methodological framework for the protection of the human environment, of the development of a modern management system of her quality based on epidemiological methods for simulation, risk analysis, assessment of economic damage to the environment and health of the population, forming a new branch of medicine--medicine of environment.
[Quality improvement potential in the pharmaceutical industry].
Nusser, Michael
2007-01-01
The performance of the German pharmaceutical industry, future challenges and obstacles to quality improvement are assessed from a systems-of-innovation perspective, using appropriate innovation indicators. The current close-to-market performance indicators paint an unfavourable picture. Early R&D indicators (e.g., publications, patents), however, reveal a positive trend. A lot of obstacles to quality improvements are identified with respect to knowledge base, knowledge/technology transfer, industrial R&D processes, capital markets, market attractiveness and both regulatory and political framework conditions. On this basis, recommendations will finally be derived to improve quality in the pharmaceutical industry.
Patient's Perspective on Quality of Teleconsultation Services.
Thijssing, Leonie; Tensen, Esmée; Jaspers, Monique
2016-01-01
Patient satisfaction with teleconsultation services can increase their acceptance. Validated and standardized questionnaires to measure the quality aspects of teleconsultation relevant from the patients' perspective are not available yet. We aim to develop such a questionnaire. First, a systematic literature search was performed and focus groups were held to acquire quality aspects of teleconsultations patients perceive as important. Thirty-seven unique quality aspects distilled from these activities, were used for questionnaire development based on the framework of the Consumer Quality Index. In future research, the comprehensiveness, relevance and unambiguousness of the concept questionnaire need to be tested and the reliability and internal cohesion of the questionnaire assessed.
So, Rita; Teakles, Andrew; Baik, Jonathan; Vingarzan, Roxanne; Jones, Keith
2018-05-01
Visibility degradation, one of the most noticeable indicators of poor air quality, can occur despite relatively low levels of particulate matter when the risk to human health is low. The availability of timely and reliable visibility forecasts can provide a more comprehensive understanding of the anticipated air quality conditions to better inform local jurisdictions and the public. This paper describes the development of a visibility forecasting modeling framework, which leverages the existing air quality and meteorological forecasts from Canada's operational Regional Air Quality Deterministic Prediction System (RAQDPS) for the Lower Fraser Valley of British Columbia. A baseline model (GM-IMPROVE) was constructed using the revised IMPROVE algorithm based on unprocessed forecasts from the RAQDPS. Three additional prototypes (UMOS-HYB, GM-MLR, GM-RF) were also developed and assessed for forecast performance of up to 48 hr lead time during various air quality and meteorological conditions. Forecast performance was assessed by examining their ability to provide both numerical and categorical forecasts in the form of 1-hr total extinction and Visual Air Quality Ratings (VAQR), respectively. While GM-IMPROVE generally overestimated extinction more than twofold, it had skill in forecasting the relative species contribution to visibility impairment, including ammonium sulfate and ammonium nitrate. Both statistical prototypes, GM-MLR and GM-RF, performed well in forecasting 1-hr extinction during daylight hours, with correlation coefficients (R) ranging from 0.59 to 0.77. UMOS-HYB, a prototype based on postprocessed air quality forecasts without additional statistical modeling, provided reasonable forecasts during most daylight hours. In terms of categorical forecasts, the best prototype was approximately 75 to 87% correct, when forecasting for a condensed three-category VAQR. A case study, focusing on a poor visual air quality yet low Air Quality Health Index episode, illustrated that the statistical prototypes were able to provide timely and skillful visibility forecasts with lead time up to 48 hr. This study describes the development of a visibility forecasting modeling framework, which leverages the existing air quality and meteorological forecasts from Canada's operational Regional Air Quality Deterministic Prediction System. The main applications include tourism and recreation planning, input into air quality management programs, and educational outreach. Visibility forecasts, when supplemented with the existing air quality and health based forecasts, can assist jurisdictions to anticipate the visual air quality impacts as perceived by the public, which can potentially assist in formulating the appropriate air quality bulletins and recommendations.
A Systematic Approach for Quantitative Analysis of Multidisciplinary Design Optimization Framework
NASA Astrophysics Data System (ADS)
Kim, Sangho; Park, Jungkeun; Lee, Jeong-Oog; Lee, Jae-Woo
An efficient Multidisciplinary Design and Optimization (MDO) framework for an aerospace engineering system should use and integrate distributed resources such as various analysis codes, optimization codes, Computer Aided Design (CAD) tools, Data Base Management Systems (DBMS), etc. in a heterogeneous environment, and need to provide user-friendly graphical user interfaces. In this paper, we propose a systematic approach for determining a reference MDO framework and for evaluating MDO frameworks. The proposed approach incorporates two well-known methods, Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD), in order to provide a quantitative analysis of the qualitative criteria of MDO frameworks. Identification and hierarchy of the framework requirements and the corresponding solutions for the reference MDO frameworks, the general one and the aircraft oriented one were carefully investigated. The reference frameworks were also quantitatively identified using AHP and QFD. An assessment of three in-house frameworks was then performed. The results produced clear and useful guidelines for improvement of the in-house MDO frameworks and showed the feasibility of the proposed approach for evaluating an MDO framework without a human interference.
Innovation value chain capability in Malaysian-owned company: A theoretical framework
NASA Astrophysics Data System (ADS)
Abidin, Norkisme Zainal; Suradi, Nur Riza Mohd
2014-09-01
Good quality products or services are no longer adequate to guarantee the sustainability of a company in the present competitive business. Prior research has developed various innovation models with the hope to better understand the innovativeness of the company. Due to countless definitions, indicators, factors, parameter and approaches in the study of innovation, it is difficult to ensure which one will best suit the Malaysian-owned company innovativeness. This paper aims to provide a theoretical background to support the framework of the innovation value chain capability in Malaysian-owned Company. The theoretical framework was based on the literature reviews, expert interviews and focus group study. The framework will be used to predict and assess the innovation value chain capability in Malaysian-owned company.
Clinical governance in practice: closing the loop with integrated audit systems.
Taylor, L; Jones, S
2006-04-01
Clinical governance has been acknowledged as the driving force behind National Health Service (NHS) reform since the government white paper outlined a new style of NHS in the UK in 1997. The framework of clinical governance ensures that NHS organizations are accountable for continually improving the quality of their services and safeguarding high standards of care by creating an environment in which excellence in clinical care will develop. A major component of a clinical governance framework requires utilizing audit procedures, which assess the effectiveness of current systems and ultimately direct continual quality improvement. This paper describes the audit component of a local clinical governance framework designed for a unit based within an NHS trust, which has utilized a multidisciplinary approach to assess the effectiveness of a newly commissioned service and its impact on the residents and staff. The unit is a 12-bedded, low-secure-intensive rehabilitation unit for clients with severe and enduring mental illness. Using recognized and standardized psychometric outcome measures, information was collected on clinical symptoms, social functioning, social behaviour, quality of life, relationship quality with named nurses and medication side-effects. Additionally, confidential staff measures were included to assess levels of burnout, identify expressed emotion and assess staff perception of models of illness. The paper includes a comprehensive account of how managerial commitment, teaching processes and application of technology ensured prompt data collection and maintained the momentum through the audit timescale. Data analysis and presentation of data in both clinical reviews and in senior management meetings within the unit are discussed. Findings highlight the full integration of the audit system into the processes of the unit. Clinically, the paper highlights the enhancement of the knowledge base of the client group and the influence on clinical decision-making processes and care delivery as a result of the audit. Brief clinical examples are given. In conclusion, the impact of the audit on unit strategy and organizational efficiency are discussed to highlight the importance of closing the audit loop and completing the cycle of clinical governance. The audit system has positive implications for replication in other services.
Pianta, Robert C; Hamre, Bridget K
2009-01-01
The National Research Council's (NRC) statement and description of features of settings that have value for positive youth development have been of great importance in shifting discourse toward creating programs that capitalize on youth motivations toward competence and connections with others. This assets-based approach to promote development is consistent with the Classroom Assessment Scoring System (CLASS) framework for measuring and improving the quality of teacher-student interactions in classroom settings. This chapter highlights the similarities between the CLASS and NRC systems and describes the CLASS as a tool for standardized measurement and improvement of classrooms and their effects on children. It argues that the next important steps to be taken in extending the CLASS and NRC frameworks involve reengineering assessments of teacher and classroom quality and professional development around observations of teachers' performance. This might include using observations in policies regarding teacher quality or a "highly effective teacher" that may emanate from the reauthorization of No Child Left Behind and moving away from a course or workshop mode of professional development to one that ties supports directly to teachers' practices in classroom settings.
Assessing river health in Europe and Switzerland
NASA Astrophysics Data System (ADS)
Milano, Marianne; Chèvre, Nathalie; Reynard, Emmanuel
2017-04-01
River conditions and welfare of aquatic ecosystems are threatened by anthropogenic and climatic changes. The release of personal-care products, pharmaceuticals and crop protection products is increasing and climate change is likely to cause significant changes in hydrological regimes affecting water resources' capacity to dissolve pollutants. Assessing river health, i.e. the ability of a river to support and maintain a balanced ecosystem close to the natural habitat, is thus of major concern to ensure the development of ecosystems and to provide enough clean useable water to users. Such studies involve physical, chemical and biological processes and characteristics. In Europe and Switzerland, standardized procedures have been developed to assess the hydromorphological, ecological and toxicological status of rivers. The European Water Framework Directive sets ecological requirements and chemical guidelines while the Swiss Modular Stepwise Procedure suggests methods to apprehend ecological deficits and promote water management plans. In this study, both procedures were applied and compared in order (i) to address their capacity to follow-up the spatial and temporal variability of the river's water quality and (ii) to identify challenges that still need to be addressed to assess river's health. Applied on the Boiron River (canton of Vaud, Switzerland) for a 11-year period (2005-2015), both frameworks highlight that no section of the river currently meets a good environmental state. This river flows through a diversified agricultural area causing a progressive deterioration of its chemical and biological quality. The two methods also identify two periods of time with significant changes of the river's water quality. The 2009-2011 period is characterized by a significant deterioration of the river's ecological and toxicological state due to severe low flows and an increased use of pesticides. However, since 2013, an improvement in water quality is identified in relationship with spatial planning and landscaping projects and the first Swiss pilot crop protection product control program developed by the canton of Vaud with the support of the Swiss Confederation. Therefore, the Swiss and EU frameworks are useful tools to address the annual evolution of watercourses' quality but major challenges remain. They relate to (i) experts' training and monitoring, (ii) environmental target values and evaluation rules, (iii) the relationships between modules and (iv) the incorporation of water uses.
Cheimonopoulou, Maria Th; Bobori, Dimitra C; Theocharopoulos, Ioannis; Lazaridou, Maria
2011-02-01
Biological elements, such as benthic macroinvertebrates and fish, have been used in assessing the ecological quality of rivers according to the requirements of the Water Framework Directive. However, the concurrent use of multiple organism groups provides a broader perspective for such evaluations, since each biological element may respond differently to certain environmental variables. In the present study, we assessed the ecological quality of a Greek river (RM4 type), during autumn 2003 and spring 2004 at 10 sites, with benthic macroinvertebrates and fish. Hydromorphological and physicochemical parameters, habitat structure, and riparian vegetation were also considered. Pollution sensitive macroinvertebrate taxa were more abundant at headwaters, which had good/excellent water quality according to the Hellenic Evaluation System (HES). The main river reaches possessed moderate water quality, while downstream sites were mainly characterised as having bad or poor water quality, dominated by pollution-tolerant macroinvertebrate taxa. Macroinvertebrates related strongly to local stressors as chemical degradation (ordination analysis CCA) and riparian quality impairment (bivariate analysis) while fish did not. Fish were absent from the severely impacted lower river reaches. Furthermore, external pathological signs were observed in fish caught at certain sites. A combined use of both macroinvertebrates and fish in biomonitoring programs is proposed for providing a safer assessment of local and regional habitat impairment.
Yu, Hwa-Lung; Wang, Chih-Hsin
2013-02-05
Understanding the daily changes in ambient air quality concentrations is important to the assessing human exposure and environmental health. However, the fine temporal scales (e.g., hourly) involved in this assessment often lead to high variability in air quality concentrations. This is because of the complex short-term physical and chemical mechanisms among the pollutants. Consequently, high heterogeneity is usually present in not only the averaged pollution levels, but also the intraday variance levels of the daily observations of ambient concentration across space and time. This characteristic decreases the estimation performance of common techniques. This study proposes a novel quantile-based Bayesian maximum entropy (QBME) method to account for the nonstationary and nonhomogeneous characteristics of ambient air pollution dynamics. The QBME method characterizes the spatiotemporal dependence among the ambient air quality levels based on their location-specific quantiles and accounts for spatiotemporal variations using a local weighted smoothing technique. The epistemic framework of the QBME method can allow researchers to further consider the uncertainty of space-time observations. This study presents the spatiotemporal modeling of daily CO and PM10 concentrations across Taiwan from 1998 to 2009 using the QBME method. Results show that the QBME method can effectively improve estimation accuracy in terms of lower mean absolute errors and standard deviations over space and time, especially for pollutants with strong nonhomogeneous variances across space. In addition, the epistemic framework can allow researchers to assimilate the site-specific secondary information where the observations are absent because of the common preferential sampling issues of environmental data. The proposed QBME method provides a practical and powerful framework for the spatiotemporal modeling of ambient pollutants.
Elvik, Rune
2011-11-01
A large number of studies have tried to assess how various aspects of driver health influence driver involvement in accidents. The objective of this paper is to provide a framework for a critical assessment of the quality these studies from a methodological point of view. Examples are given of how various sources of bias and confounding can produce study findings that are highly misleading. Ten potential sources of error and bias in epidemiological studies of the contribution of driver health impairments to road accidents are discussed: (1) Poor description of the medical conditions whose effects are studied (measurement error). (2) Inadequate control for the effects of exposure on accident rate. (3) Sampling endogeneity with respect to assessment for fitness to drive (outcome-based sampling; self-selection bias). (4) Combined exposure to several risk factors. (5) Poor control for potentially confounding factors. (6) Failure to specify potentially moderating factors (interaction effects). (7) Failure to consider a severity gradient with respect to the effect of health impairments. (8) Failure to specify the compliance of drivers with medical treatments or treatment effectiveness. (9) No data on the population prevalence of various health conditions. (10) The use of multiple study approaches and methods making the comparison and synthesis of findings difficult. Examples are given of how all these items may influence the findings of a single study or make synthesising findings from multiple studies difficult. A checklist for assessing study quality is provided. Copyright © 2011 Elsevier Ltd. All rights reserved.
Assessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinations.
Lacson, Ronilda; Raja, Ali S; Osterbur, David; Ip, Ivan; Schneider, Louise; Bain, Paul; Mita, Carol; Whelan, Julia; Silveira, Patricia; Dement, David; Khorasani, Ramin
2016-05-01
For health information technology tools to fully inform evidence-based decisions, recommendations must be reliably assessed for quality and strength of evidence. We aimed to create an annotation framework for grading recommendations regarding appropriate use of diagnostic imaging examinations. The annotation framework was created by an expert panel (clinicians in three medical specialties, medical librarians, and biomedical scientists) who developed a process for achieving consensus in assessing recommendations, and evaluated by measuring agreement in grading the strength of evidence for 120 empirically selected recommendations using the Oxford Levels of Evidence. Eighty-two percent of recommendations were assigned to Level 5 (expert opinion). Inter-annotator agreement was 0.70 on initial grading (κ = 0.35, 95% CI, 0.23-0.48). After systematic discussion utilizing the annotation framework, agreement increased significantly to 0.97 (κ = 0.88, 95% CI, 0.77-0.99). A novel annotation framework was effective for grading the strength of evidence supporting appropriate use criteria for diagnostic imaging exams. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Munthe, John; Brorström-Lundén, Eva; Rahmberg, Magnus; Posthuma, Leo; Altenburger, Rolf; Brack, Werner; Bunke, Dirk; Engelen, Guy; Gawlik, Bernd Manfred; van Gils, Jos; Herráez, David López; Rydberg, Tomas; Slobodnik, Jaroslav; van Wezel, Annemarie
2017-01-01
This paper describes a conceptual framework for solutions-focused management of chemical contaminants built on novel and systematic approaches for identifying, quantifying and reducing risks of these substances. The conceptual framework was developed in interaction with stakeholders representing relevant authorities and organisations responsible for managing environmental quality of water bodies. Stakeholder needs were compiled via a survey and dialogue. The content of the conceptual framework was thereafter developed with inputs from relevant scientific disciplines. The conceptual framework consists of four access points: Chemicals, Environment, Abatement and Society, representing different aspects and approaches to engaging in the issue of chemical contamination of surface waters. It widens the scope for assessment and management of chemicals in comparison to a traditional (mostly) perchemical risk assessment approaches by including abatement- and societal approaches as optional solutions. The solution-focused approach implies an identification of abatement- and policy options upfront in the risk assessment process. The conceptual framework was designed for use in current and future chemical pollution assessments for the aquatic environment, including the specific challenges encountered in prioritising individual chemicals and mixtures, and is applicable for the development of approaches for safe chemical management in a broader sense. The four access points of the conceptual framework are interlinked by four key topics representing the main scientific challenges that need to be addressed, i.e.: identifying and prioritising hazardous chemicals at different scales; selecting relevant and efficient abatement options; providing regulatory support for chemicals management; predicting and prioritising future chemical risks. The conceptual framework aligns current challenges in the safe production and use of chemicals. The current state of knowledge and implementation of these challenges is described. The use of the conceptual framework, and addressing the challenges, is intended to support: (1) forwarding sustainable use of chemicals, (2) identification of pollutants of priority concern for cost-effective management, (3) the selection of optimal abatement options and (4) the development and use of optimised legal and policy instruments.
Electronic immunization data collection systems: application of an evaluation framework.
Heidebrecht, Christine L; Kwong, Jeffrey C; Finkelstein, Michael; Quan, Sherman D; Pereira, Jennifer A; Quach, Susan; Deeks, Shelley L
2014-01-14
Evaluating the features and performance of health information systems can serve to strengthen the systems themselves as well as to guide other organizations in the process of designing and implementing surveillance tools. We adapted an evaluation framework in order to assess electronic immunization data collection systems, and applied it in two Ontario public health units. The Centers for Disease Control and Prevention's Guidelines for Evaluating Public Health Surveillance Systems are broad in nature and serve as an organizational tool to guide the development of comprehensive evaluation materials. Based on these Guidelines, and informed by other evaluation resources and input from stakeholders in the public health community, we applied an evaluation framework to two examples of immunization data collection and examined several system attributes: simplicity, flexibility, data quality, timeliness, and acceptability. Data collection approaches included key informant interviews, logic and completeness assessments, client surveys, and on-site observations. Both evaluated systems allow high-quality immunization data to be collected, analyzed, and applied in a rapid fashion. However, neither system is currently able to link to other providers' immunization data or provincial data sources, limiting the comprehensiveness of coverage assessments. We recommended that both organizations explore possibilities for external data linkage and collaborate with other jurisdictions to promote a provincial immunization repository or data sharing platform. Electronic systems such as the ones described in this paper allow immunization data to be collected, analyzed, and applied in a rapid fashion, and represent the infostructure required to establish a population-based immunization registry, critical for comprehensively assessing vaccine coverage.
Strickland, Bonnie B; Jones, Jessica R; Newacheck, Paul W; Bethell, Christina D; Blumberg, Stephen J; Kogan, Michael D
2015-02-01
To provide a national, population-based assessment of the quality of the health care system for children and youth with special health care needs using a framework of six health care system quality indicators. 49,242 interviews with parents of children with special health care needs from the 2009-10 National Survey of Children with Special Health Care Needs (NS-CSHCN) were examined to determine the extent to which CSHCN had access to six quality indicators of a well-functioning system of services. Criteria for determining access to each indicator were established and applied to the survey data to estimate the proportion of CSHCN meeting each quality indicator by socio-demographic status and functional limitations. 17.6% of CSHCN received care consistent with all six quality indicators. Results for each component of the system quality framework ranged from a high of 70.3% of parents reporting that they shared decision-making with healthcare providers to a low of 40% of parents reporting receipt of services needed for transition to adult health care. Attainment rates were lower for CSHCN of minority racial and ethnic groups, those residing in households where English was not the primary language, those in lower income households, and those most impacted by their health condition. Only a small proportion of CSHCN receive all identified attributes of a high-quality system of services. Moreover, significant disparities exist whereby those most impacted by their conditions and those in traditionally disadvantaged groups are served least well by the current system. A small proportion of CSHCN appear to remain essentially outside of the system, having met few if any of the elements studied.
Jones, Jessica R.; Newacheck, Paul W.; Bethell, Christina D.; Blumberg, Stephen J.; Kogan, Michael D.
2016-01-01
To provide a national, population-based assessment of the quality of the health care system for children and youth with special health care needs using a framework of six health care system quality indicators. 49,242 interviews with parents of children with special health care needs from the 2009–10 National Survey of Children with Special Health Care Needs (NS-CSHCN) were examined to determine the extent to which CSHCN had access to six quality indicators of a well-functioning system of services. Criteria for determining access to each indicator were established and applied to the survey data to estimate the proportion of CSHCN meeting each quality indicator by socio-demographic status and functional limitations. 17.6 % of CSHCN received care consistent with all six quality indicators. Results for each component of the system quality framework ranged from a high of 70.3 % of parents reporting that they shared decision-making with healthcare providers to a low of 40 % of parents reporting receipt of services needed for transition to adult health care. Attainment rates were lower for CSHCN of minority racial and ethnic groups, those residing in households where English was not the primary language, those in lower income households, and those most impacted by their health condition. Only a small proportion of CSHCN receive all identified attributes of a high-quality system of services. Moreover, significant disparities exist whereby those most impacted by their conditions and those in traditionally disadvantaged groups are served least well by the current system. A small proportion of CSHCN appear to remain essentially outside of the system, having met few if any of the elements studied. PMID:24912943
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data.
Gu, Ke; Tao, Dacheng; Qiao, Jun-Fei; Lin, Weisi
2018-04-01
In this paper, we investigate into the problem of image quality assessment (IQA) and enhancement via machine learning. This issue has long attracted a wide range of attention in computational intelligence and image processing communities, since, for many practical applications, e.g., object detection and recognition, raw images are usually needed to be appropriately enhanced to raise the visual quality (e.g., visibility and contrast). In fact, proper enhancement can noticeably improve the quality of input images, even better than originally captured images, which are generally thought to be of the best quality. In this paper, we present two most important contributions. The first contribution is to develop a new no-reference (NR) IQA model. Given an image, our quality measure first extracts 17 features through analysis of contrast, sharpness, brightness and more, and then yields a measure of visual quality using a regression module, which is learned with big-data training samples that are much bigger than the size of relevant image data sets. The results of experiments on nine data sets validate the superiority and efficiency of our blind metric compared with typical state-of-the-art full-reference, reduced-reference and NA IQA methods. The second contribution is that a robust image enhancement framework is established based on quality optimization. For an input image, by the guidance of the proposed NR-IQA measure, we conduct histogram modification to successively rectify image brightness and contrast to a proper level. Thorough tests demonstrate that our framework can well enhance natural images, low-contrast images, low-light images, and dehazed images. The source code will be released at https://sites.google.com/site/guke198701/publications.
Kahn, Jeremy M; Gould, Michael K; Krishnan, Jerry A; Wilson, Kevin C; Au, David H; Cooke, Colin R; Douglas, Ivor S; Feemster, Laura C; Mularski, Richard A; Slatore, Christopher G; Wiener, Renda Soylemez
2014-05-01
Many health care performance measures are either not based on high-quality clinical evidence or not tightly linked to patient-centered outcomes, limiting their usefulness in quality improvement. In this report we summarize the proceedings of an American Thoracic Society workshop convened to address this problem by reviewing current approaches to performance measure development and creating a framework for developing high-quality performance measures by basing them directly on recommendations from well-constructed clinical practice guidelines. Workshop participants concluded that ideally performance measures addressing care processes should be linked to clinical practice guidelines that explicitly rate the quality of evidence and the strength of recommendations, such as the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process. Under this framework, process-based performance measures would only be developed from strong recommendations based on high- or moderate-quality evidence. This approach would help ensure that clinical processes specified in performance measures are both of clear benefit to patients and supported by strong evidence. Although this approach may result in fewer performance measures, it would substantially increase the likelihood that quality-improvement programs based on these measures actually improve patient care.
NASA Astrophysics Data System (ADS)
Kolosionis, Konstantinos; Papadopoulou, Maria P.
2017-04-01
Monitoring networks provide essential information for water resources management especially in areas with significant groundwater exploitation due to extensive agricultural activities. In this work, a simulation-optimization framework is developed based on heuristic optimization methodologies and geostatistical modeling approaches to obtain an optimal design for a groundwater quality monitoring network. Groundwater quantity and quality data obtained from 43 existing observation locations at 3 different hydrological periods in Mires basin in Crete, Greece will be used in the proposed framework in terms of Regression Kriging to develop the spatial distribution of nitrates concentration in the aquifer of interest. Based on the existing groundwater quality mapping, the proposed optimization tool will determine a cost-effective observation wells network that contributes significant information to water managers and authorities. The elimination of observation wells that add little or no beneficial information to groundwater level and quality mapping of the area can be obtain using estimations uncertainty and statistical error metrics without effecting the assessment of the groundwater quality. Given the high maintenance cost of groundwater monitoring networks, the proposed tool could used by water regulators in the decision-making process to obtain a efficient network design that is essential.
Marshall, Martin; Klazinga, Niek; Leatherman, Sheila; Hardy, Charlie; Bergmann, Eckhard; Pisco, Luis; Mattke, Soeren; Mainz, Jan
2006-09-01
This article describes a project undertaken as part of the Organization for Economic Co-operation and Development (OECD)'s Healthcare Quality Indicator (HCQI) Project, which aimed to develop a set of quality indicators representing the domains of primary care, prevention and health promotion, and which could be used to assess the performance of primary care systems. Existing quality indicators from around the world were mapped to an organizing framework which related primary care, prevention, and health promotion. The indicators were judged against the US Institute of Medicine's assessment criteria of importance and scientific soundness, and only those which met these criteria and were likely to be feasible were included. An initial large set of indicators was reduced by the primary care expert panel using a modified Delphi process. A set of 27 indicators was produced. Six of them were related to health promotion, covering health-related behaviours that are typically targeted by health education and outreach campaigns, 13 to preventive care with a focus on prenatal care and immunizations and eight to primary clinical care mainly addressing activities related to risk reduction. The indicators selected placed a strong emphasis on the public health aspects of primary care. This project represents an important but preliminary step towards a set of measures to evaluate and compare primary care quality. Further work is required to assess the operational feasibility of the indicators and the validity of any benchmarking data drawn from international comparisons. A conceptual framework needs to be developed that comprehensively captures the complex construct of primary care as a basis for the selection of additional indicators.
Academic Standards and Regulatory Frameworks: Necessary Compromises?
ERIC Educational Resources Information Center
Stowell, Marie; Falahee, Marie; Woolf, Harvey
2016-01-01
Assessment regulations in higher education, which are important for assuring threshold academic standards, reflect institutional cultures and histories, and are shaped by pragmatic concerns about quality indicators such as retention and progression rates, as well as principles of equity. This paper articulates some of the tensions that confront…
. To assess the ambient concentration levels of the six criteria air pollutants regulated by National Ambient Air Quality Standards (NAAQS), the U.S. Environmental Protection Agency (EPA) developed a systematic framework of: (a) field measurements of ambient air pollutant levels ...
The Organizational Values of "Gimnazija" in Slovenia
ERIC Educational Resources Information Center
Pang, Nicholas Sun-Keung
2006-01-01
This article assesses the organizational values of "gimnazija" in Slovenia and examines the factors that contribute to the building of quality management. The theoretical framework is built on Schein's model of levels of culture, Sathe's interpretation of organizational culture and Getzels and Guba's model of organizational behaviour.…
The challenges Concentrated Animal Feeding Operations (CAFOs) directly pose to sustainability include their impact on human health, receiving water bodies, groundwater, and air quality. These challenges result from the large quantities of macronutrients (carbon, nitrogen, and pho...
Hoyt, Michael A; Cano, Stefan J; Saigal, Christopher S; Stanton, Annette L
2013-12-01
Patient-reported outcome instruments are needed to measure health-related quality of life (HRQOL) in young adults with cancer. The purpose of this project was to establish a conceptual model and measurement instrument for assessment of HRQOL in young men with testicular cancer. Patient interviews and a literature review were used to develop a conceptual framework of biopsychosocial domains of cancer-related quality of life and an initial pool of questionnaire items. Items were piloted and refined. Revised items were administered to a sample (N = 171) of young (ages 18-29) men with testicular cancer and repeated 4 weeks later. Rasch measurement methods guided item reduction and scale construction. Traditional psychometric analyses were also performed to allow for comparison with existing measures. The conceptual framework included seven biopsychosocial domains: physical, sexual, intrapersonal, cognitive-emotional, social-relational, educational-vocational-avocational, and spiritual to form independent scales of the resulting questionnaire, the Cancer Assessment for Young Adults-Testicular (CAYA-T). Each scale fulfilled Rasch and traditional psychometric criteria (i.e., person separation index, 0.34-0.82; Cronbach's alpha, 0.70-0.91; and an expected pattern of convergent and discriminant validity correlations). The CAYA-T can be used to assess HRQOL across a comprehensive set of domains as identified by young men with cancer. It passes strict psychometric criteria and has potential as a useful research and clinical tool. The CAYA-T has potential research and clinical value for addressing inter-related aspects of HRQOL in young adult men with cancer. The measure may assist with assessing and monitoring HRQOL across a range of domains and contributing to more comprehensive assessment of biopsychosocial needs of young adults.
Academic Libraries and Quality: An Analysis and Evaluation Framework
ERIC Educational Resources Information Center
Atkinson, Jeremy
2017-01-01
The paper proposes and describes a framework for academic library quality to be used by new and more experienced library practitioners and by others involved in considering the quality of academic libraries' services and provision. The framework consists of eight themes and a number of questions to examine within each theme. The framework was…
NASA Astrophysics Data System (ADS)
Bo, Nyan Bo; Deboeverie, Francis; Veelaert, Peter; Philips, Wilfried
2017-09-01
Occlusion is one of the most difficult challenges in the area of visual tracking. We propose an occlusion handling framework to improve the performance of local tracking in a smart camera view in a multicamera network. We formulate an extensible energy function to quantify the quality of a camera's observation of a particular target by taking into account both person-person and object-person occlusion. Using this energy function, a smart camera assesses the quality of observations over all targets being tracked. When it cannot adequately observe of a target, a smart camera estimates the quality of observation of the target from view points of other assisting cameras. If a camera with better observation of the target is found, the tracking task of the target is carried out with the assistance of that camera. In our framework, only positions of persons being tracked are exchanged between smart cameras. Thus, communication bandwidth requirement is very low. Performance evaluation of our method on challenging video sequences with frequent and severe occlusions shows that the accuracy of a baseline tracker is considerably improved. We also report the performance comparison to the state-of-the-art trackers in which our method outperforms.
Luckett, Tim; Bhattarai, Priyanka; Phillips, Jane; Agar, Meera; Currow, David; Krastev, Yordanka; Davidson, Patricia M
2015-11-01
A drive to promote advance care planning at a population level has led to a proliferation of online advance care directive (ACD) templates but little information to guide consumer choice. The current study aimed to appraise the quality of online ACD templates promoted for use in Australia. A systematic review of online Australian ACD templates was conducted in February 2014. ACD templates were identified via Google searches, and quality was independently appraised by two reviewers against criteria from the 2011 report A National Frameworkfor Advance Care Directives. Bias either towards or against future medical treatment was assessed using criteria designed to limit subjectivity. Fourteen online ACD templates were included, all of which were available only in English. Templates developed by Southern Cross University best met the framework criteria. One ACD template was found to be biased against medical treatment--the Dying with Dignity Victoria Advance Healthcare Directive. More research is needed to understand how online resources can optimally elicit and record consumers' individual preferences for future care. Future iterations of the framework should address online availability and provide a simple rating system to inform choice and drive quality improvement.
Dreiling, Katharina; Montano, Diego; Poinstingl, Herbert; Müller, Tjark; Schiekirka-Schwake, Sarah; Anders, Sven; von Steinbüchel, Nicole; Raupach, Tobias
2017-08-01
Evaluation is an integral part of curriculum development in medical education. Given the peculiarities of bedside teaching, specific evaluation tools for this instructional format are needed. Development of these tools should be informed by appropriate frameworks. The purpose of this study was to develop a specific evaluation tool for bedside teaching based on the Stanford Faculty Development Program's clinical teaching framework. Based on a literature review yielding 47 evaluation items, an 18-item questionnaire was compiled and subsequently completed by undergraduate medical students at two German universities. Reliability and validity were assessed in an exploratory full information item factor analysis (study one) and a confirmatory factor analysis as well as a measurement invariance analysis (study two). The exploratory analysis involving 824 students revealed a three-factor structure. Reliability estimates of the subscales were satisfactory (α = 0.71-0.84). The model yielded satisfactory fit indices in the confirmatory factor analysis involving 1043 students. The new questionnaire is short and yet based on a widely-used framework for clinical teaching. The analyses presented here indicate good reliability and validity of the instrument. Future research needs to investigate whether feedback generated from this tool helps to improve teaching quality and student learning outcome.
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
NASA Astrophysics Data System (ADS)
Mao, Yao-Yuan; Kovacs, Eve; Heitmann, Katrin; Uram, Thomas D.; Benson, Andrew J.; Campbell, Duncan; Cora, Sofía A.; DeRose, Joseph; Di Matteo, Tiziana; Habib, Salman; Hearin, Andrew P.; Bryce Kalmbach, J.; Krughoff, K. Simon; Lanusse, François; Lukić, Zarija; Mandelbaum, Rachel; Newman, Jeffrey A.; Padilla, Nelson; Paillas, Enrique; Pope, Adrian; Ricker, Paul M.; Ruiz, Andrés N.; Tenneti, Ananth; Vega-Martínez, Cristian A.; Wechsler, Risa H.; Zhou, Rongpu; Zu, Ying; The LSST Dark Energy Science Collaboration
2018-02-01
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fundamental physics in cosmological observables, understanding the effect of systematic uncertainties on measured signals and testing mitigation strategies for reducing these uncertainties, aiding analysis pipeline development and testing, and survey strategy optimization. The list of applications is growing with improvements in the quality of the catalogs and the details that they can provide. Given the importance of simulated catalogs, it is critical to provide rigorous validation protocols that enable both catalog providers and users to assess the quality of the catalogs in a straightforward and comprehensive way. For this purpose, we have developed the DESCQA framework for the Large Synoptic Survey Telescope Dark Energy Science Collaboration as well as for the broader community. The goal of DESCQA is to enable the inspection, validation, and comparison of an inhomogeneous set of synthetic catalogs via the provision of a common interface within an automated framework. In this paper, we present the design concept and first implementation of DESCQA. In order to establish and demonstrate its full functionality we use a set of interim catalogs and validation tests. We highlight several important aspects, both technical and scientific, that require thoughtful consideration when designing a validation framework, including validation metrics and how these metrics impose requirements on the synthetic sky catalogs.
Meyns, Pieter; Roman de Mettelinge, Tine; van der Spank, Judith; Coussens, Marieke; Van Waelvelde, Hilde
2017-03-09
Motivation is suggested as an important factor in pediatric motor rehabilitation. Therefore, we reviewed the existing evidence of (motivational) motor rehabilitation paradigms, and how motivation influences rehabilitation outcome using self-determination theory as conceptual framework. PubMed and Web-of-Science databases were systematically searched until June 2015. Data were independently extracted and critiqued for quality by three authors. Studies reporting motivational aspects were included. Most studies examined new technology (e.g., virtual reality [VR]). Out of 479 records, three RCT, six case-control, and six non-comparative studies were included with mixed quality. Motivation was rarely reported. Training individualization to the child's capabilities with more variety seemed promising to increase motivation. Motivation increased when the exercises seemed helpful for daily activities. Motivation in pediatric rehabilitation should be comprehensively assessed within a theoretical framework as there are indications that motivated children have better rehabilitation outcomes, depending on the aspect of motivation.
Munroe, Belinda; Curtis, Kate; Murphy, Margaret; Strachan, Luke; Considine, Julie; Hardy, Jennifer; Wilson, Mark; Ruperto, Kate; Fethney, Judith; Buckley, Thomas
2016-08-01
The aim of this study was to evaluate the effect of the new evidence-informed nursing assessment framework HIRAID (History, Identify Red flags, Assessment, Interventions, Diagnostics, reassessment and communication) on the quality of patient assessment and fundamental nontechnical skills including communication, decision making, task management and situational awareness. Assessment is a core component of nursing practice and underpins clinical decisions and the safe delivery of patient care. Yet there is no universal or validated system used to teach emergency nurses how to comprehensively assess and care for patients. A pre-post design was used. The performance of thirty eight emergency nurses from five Australian hospitals was evaluated before and after undertaking education in the application of the HIRAID assessment framework. Video recordings of participant performance in immersive simulations of common presentations to the emergency department were evaluated, as well as participant documentation during the simulations. Paired parametric and nonparametric tests were used to compare changes from pre to postintervention. From pre to postintervention, participant performance increases were observed in the percentage of patient history elements collected, critical indicators of urgency collected and reported to medical officers, and patient reassessments performed. Participants also demonstrated improvement in each of the four nontechnical skills categories: communication, decision making, task management and situational awareness. The HIRAID assessment framework improves clinical patient assessments performed by emergency nurses and has the potential to enhance patient care. HIRAID should be considered for integration into clinical practice to provide nurses with a systematic approach to patient assessment and potentially improve the delivery of safe patient care. © 2016 John Wiley & Sons Ltd.
Postacute rehabilitation quality of care: toward a shared conceptual framework.
Jesus, Tiago Silva; Hoenig, Helen
2015-05-01
There is substantial interest in mechanisms for measuring, reporting, and improving the quality of health care, including postacute care (PAC) and rehabilitation. Unfortunately, current activities generally are either too narrow or too poorly specified to reflect PAC rehabilitation quality of care. In part, this is caused by a lack of a shared conceptual understanding of what construes quality of care in PAC rehabilitation. This article presents the PAC-rehab quality framework: an evidence-based conceptual framework articulating elements specifically pertaining to PAC rehabilitation quality of care. The widely recognized Donabedian structure, process, and outcomes (SPO) model furnished the underlying structure for the PAC-rehab quality framework, and the International Classification of Functioning, Disability and Health (ICF) framed the functional outcomes. A comprehensive literature review provided the evidence base to specify elements within the SPO model and ICF-derived framework. A set of macrolevel-outcomes (functional performance, quality of life of patient and caregivers, consumers' experience, place of discharge, health care utilization) were defined for PAC rehabilitation and then related to their (1) immediate and intermediate outcomes, (2) underpinning care processes, (3) supportive team functioning and improvement processes, and (4) underlying care structures. The role of environmental factors and centrality of patients in the framework are explicated as well. Finally, we discuss why outcomes may best measure and reflect the quality of PAC rehabilitation. The PAC-rehab quality framework provides a conceptually sound, evidence-based framework appropriate for quality of care activities across the PAC rehabilitation continuum. Copyright © 2015 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Supporting and activating clinical governance development in Ireland: sharing our learning.
Flynn, Maureen A; Burgess, Thora; Crowley, Philip
2015-01-01
The purpose of this paper is to present a description of the Irish national clinical governance development initiative and an evaluation of the initiative with the purpose of sharing the learning and proposing actions to activate structures and processes for quality and safety. The Quality and Patient Safety Division of the Health Service Executive established the initiative to counterbalance a possible focus on finances during the economic crisis in Ireland and bring attention to the quality of clinical care. A clinical governance framework for quality in healthcare in Ireland was developed to clearly articulate the fundamentals of clinical governance. The project plan involved three overlapping phases. The first was designing resources for practice; the second testing the implementation of the national resources in practice; and the third phase focused on gathering feedback and learning. Staff responded positively to the clinical governance framework. At a time when there are a lot of demands (measurement and scrutiny) the health services leads and responds well to focused support as they improve the quality and safety of services. Promoting the use of the term "governance for quality and safety" assisted in gaining an understanding of the more traditional term "clinical governance". The experience and outcome of the initiative informed the identification of 12 key learning points and a series of recommendations The initial evaluation was conducted at 24 months so at this stage it is not possible to assess the broader impact of the clinical governance framework beyond the action project hospitals. The single most important obligation for any health system is patient safety and improving the quality of care. The easily accessible, practical resources assisted project teams to lead changes in structures and processes within their services. This paper describes the fundamentals of the clinical governance framework which might serve as a guide for more integrative research endeavours on governance for quality and safety. Experience was gained in both the development of national guidance and their practical use in targeted action projects activating structures and processes that are a prerequisite to delivering safe quality services.
Perez-Ponce, Hector; Daul, Christian; Wolf, Didier; Noel, Alain
2013-08-01
In mammography, image quality assessment has to be directly related to breast cancer indicator (e.g. microcalcifications) detectability. Recently, we proposed an X-ray source/digital detector (XRS/DD) model leading to such an assessment. This model simulates very realistic contrast-detail phantom (CDMAM) images leading to gold disc (representing microcalcifications) detectability thresholds that are very close to those of real images taken under the simulated acquisition conditions. The detection step was performed with a mathematical observer. The aim of this contribution is to include human observers into the disc detection process in real and virtual images to validate the simulation framework based on the XRS/DD model. Mathematical criteria (contrast-detail curves, image quality factor, etc.) are used to assess and to compare, from the statistical point of view, the cancer indicator detectability in real and virtual images. The quantitative results given in this paper show that the images simulated by the XRS/DD model are useful for image quality assessment in the case of all studied exposure conditions using either human or automated scoring. Also, this paper confirms that with the XRS/DD model the image quality assessment can be automated and the whole time of the procedure can be drastically reduced. Compared to standard quality assessment methods, the number of images to be acquired is divided by a factor of eight. Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.
The Role of Reliability, Vulnerability and Resilience in the Management of Water Quality Systems
NASA Astrophysics Data System (ADS)
Lence, B. J.; Maier, H. R.
2001-05-01
The risk based performance indicators reliability, vulnerability and resilience provide measures of the frequency, magnitude and duration of the failure of water resources systems, respectively. They have been applied primarily to water supply problems, including the assessment of the performance of reservoirs and water distribution systems. Applications to water quality case studies have been limited, although the need to consider the length and magnitude of violations of a particular water quality standard has been recognized for some time. In this research, the role of reliability, vulnerability and resilience in water quality management applications is investigated by examining their significance as performance measures for water quality systems and assessing their potential for assisting in decision making processes. The importance of each performance indicator is discussed and a framework for classifying such systems, based on the relative significance of each of these indicators, is introduced and illustrated qualitatively with various case studies. Quantitative examples drawn from both lake and river water quality modeling exercises are then provided.
Veillard, Jeremy; Cowling, Krycia; Bitton, Asaf; Ratcliffe, Hannah; Kimball, Meredith; Barkley, Shannon; Mercereau, Laure; Wong, Ethan; Taylor, Chelsea; Hirschhorn, Lisa R; Wang, Hong
2017-12-01
Policy Points: Strengthening accountability through better measurement and reporting is vital to ensure progress in improving quality primary health care (PHC) systems and achieving universal health coverage (UHC). The Primary Health Care Performance Initiative (PHCPI) provides national decision makers and global stakeholders with opportunities to benchmark and accelerate performance improvement through better performance measurement. Results from the initial PHC performance assessments in low- and middle-income countries (LMICs) are helping guide PHC reforms and investments and improve the PHCPI's instruments and indicators. Findings from future assessment activities will further amplify cross-country comparisons and peer learning to improve PHC. New indicators and sources of data are needed to better understand PHC system performance in LMICs. The Primary Health Care Performance Initiative (PHCPI), a collaboration between the Bill and Melinda Gates Foundation, The World Bank, and the World Health Organization, in partnership with Ariadne Labs and Results for Development, was launched in 2015 with the aim of catalyzing improvements in primary health care (PHC) systems in 135 low- and middle-income countries (LMICs), in order to accelerate progress toward universal health coverage. Through more comprehensive and actionable measurement of quality PHC, the PHCPI stimulates peer learning among LMICs and informs decision makers to guide PHC investments and reforms. Instruments for performance assessment and improvement are in development; to date, a conceptual framework and 2 sets of performance indicators have been released. The PHCPI team developed the conceptual framework through literature reviews and consultations with an advisory committee of international experts. We generated 2 sets of performance indicators selected from a literature review of relevant indicators, cross-referenced against indicators available from international sources, and evaluated through 2 separate modified Delphi processes, consisting of online surveys and in-person facilitated discussions with experts. The PHCPI conceptual framework builds on the current understanding of PHC system performance through an expanded emphasis on the role of service delivery. The first set of performance indicators, 36 Vital Signs, facilitates comparisons across countries and over time. The second set, 56 Diagnostic Indicators, elucidates underlying drivers of performance. Key challenges include a lack of available data for several indicators and a lack of validated indicators for important dimensions of quality PHC. The availability of data is critical to assessing PHC performance, particularly patient experience and quality of care. The PHCPI will continue to develop and test additional performance assessment instruments, including composite indices and national performance dashboards. Through country engagement, the PHCPI will further refine its instruments and engage with governments to better design and finance primary health care reforms. © 2017 Milbank Memorial Fund.
Understanding Emissions in East Asia - The KORUS 2015 Emissions Inventory
NASA Astrophysics Data System (ADS)
Woo, J. H.; Kim, Y.; Park, R.; Choi, Y.; Simpson, I. J.; Emmons, L. K.; Streets, D. G.
2017-12-01
The air quality over Northeast Asia have been deteriorated for decades due to high population and energy use in the region. Despite of more stringent air pollution control policies by the governments, air quality over the region seems not been improved as much - even worse sometimes. The needs of more scientific understanding of inter-relationship among emissions, transport, chemistry over the region are much higher to effectively protect public health and ecosystems. Two aircraft filed campaigns targeting year 2016, MAPS-Seoul and KORUS-AQ, have been organized to study the air quality of over Korea and East Asia relating to chemical evolution, emission inventories, trans-boundary contribution, and satellite application. We developed a new East-Asia emissions inventory, named KORUS2015, based on NIER/KU-CREATE (Comprehensive Regional Emissions inventory for Atmospheric Transport Experiment), in support of the filed campaigns. For anthropogenic emissions, it has 54 fuel classes, 201 sub-sectors and 13 pollutants, including CO2, SO2, NOx, CO, NMVOC, NH3, PM10, and PM2.5. Since the KORUS2015 emissions framework was developed using the integrated climate and air quality assessment modeling framework (i.e. GAINS) and is fully connected with the comprehensive emission processing/modeling systems (i.e. SMOKE, KU-EPS, and MEGAN), it can be effectively used to support atmospheric field campaigns for science and policy. During the field campaigns, we are providing modeling emissions inventory to participating air quality models, such as CMAQ, WRF-Chem, CAMx, GEOS-Chem, MOZART, for forecasting and post-analysis modes. Based on initial assessment of those results, we are improving our emissions, such as VOC speciation, biogenic VOCs modeling. From the 2nditeration between emissions and modeling/measurement, further analysis results will be presented at the conference. Acknowledgements : This subject is supported by Korea Ministry of Environment as "Climate Change Correspondence Program." This work was supported under the framework of national strategy project on fine particulate matters by Ministry of Science, ICT and Future Planning.
Adverse outcome pathways (AOPs) to enhance EDC ...
Screening and testing for endocrine active chemicals was mandated under 1996 amendments to the Safe Drinking Water Act and Food Quality Protection Act. Efficiencies can be gained in the endocrine disruptor screening program by using available biological and toxicological knowledge to facilitate greater use of high throughput screening data and other data sources to inform endocrine disruptor assessments. Likewise, existing knowledge, when properly organized, can help aid interpretation of test results. The adverse outcome pathway (AOP) framework, which organizes information concerning measureable changes that link initial biological interactions with a chemical to adverse effects that are meaningful to risk assessment and management, can aid this process. This presentation outlines the ways in which the AOP framework has already been employed to support EDSP and how it may further enhance endocrine disruptor assessments in the future. Screening and testing for endocrine active chemicals was mandated under 1996 amendments to the Safe Drinking Water Act and Food Quality Protection Act. Efficiencies can be gained in the endocrine disruptor screening program by using available biological and toxicological knowledge to facilitate greater use of high throughput screening data and other data sources to inform endocrine disruptor assessments. Likewise, existing knowledge, when properly organized, can help aid interpretation of test results. The adverse outcome pathway
Dafalla, Tarig Dafalla Mohamed; Kushniruk, Andre W; Borycki, Elizabeth M
2015-01-01
A pragmatic evaluation framework for evaluating the usability and usefulness of an e-learning intervention for a patient clinical information scheduling system is presented in this paper. The framework was conceptualized based on two different but related concepts (usability and usefulness) and selection of appropriate and valid methods of data collection and analysis that included: (1) Low-Cost Rapid Usability Engineering (LCRUE), (2) Cognitive Task Analysis (CTA), (3) Heuristic Evaluation (HE) criteria for web-based learning, and (4) Software Usability Measurement Inventory (SUMI). The results of the analysis showed some areas where usability that were related to General Interface Usability (GIU), instructional design and content was problematic; some of which might account for the poorly rated aspects of usability when subjectively measured. This paper shows that using a pragmatic framework can be a useful way, not only for measuring the usability and usefulness, but also for providing a practical objective evidences for learning and continuous quality improvement of e-learning systems. The findings should be of interest to educators, developers, designers, researchers, and usability practitioners involved in the development of e-learning systems in healthcare. This framework could be an appropriate method for assessing the usability, usefulness and safety of health information systems both in the laboratory and in the clinical context.
Beyond Academia - Interrogating Research Impact in the Research Excellence Framework.
Terama, Emma; Smallman, Melanie; Lock, Simon J; Johnson, Charlotte; Austwick, Martin Zaltz
2016-01-01
Big changes to the way in which research funding is allocated to UK universities were brought about in the Research Excellence Framework (REF), overseen by the Higher Education Funding Council, England. Replacing the earlier Research Assessment Exercise, the purpose of the REF was to assess the quality and reach of research in UK universities-and allocate funding accordingly. For the first time, this included an assessment of research 'impact', accounting for 20% of the funding allocation. In this article we use a text mining technique to investigate the interpretations of impact put forward via impact case studies in the REF process. We find that institutions have developed a diverse interpretation of impact, ranging from commercial applications to public and cultural engagement activities. These interpretations of impact vary from discipline to discipline and between institutions, with more broad-based institutions depicting a greater variety of impacts. Comparing the interpretations with the score given by REF, we found no evidence of one particular interpretation being more highly rewarded than another. Importantly, we also found a positive correlation between impact score and [overall research] quality score, suggesting that impact is not being achieved at the expense of research excellence.
Beyond Academia – Interrogating Research Impact in the Research Excellence Framework
Smallman, Melanie; Lock, Simon J.; Johnson, Charlotte; Austwick, Martin Zaltz
2016-01-01
Big changes to the way in which research funding is allocated to UK universities were brought about in the Research Excellence Framework (REF), overseen by the Higher Education Funding Council, England. Replacing the earlier Research Assessment Exercise, the purpose of the REF was to assess the quality and reach of research in UK universities–and allocate funding accordingly. For the first time, this included an assessment of research ‘impact’, accounting for 20% of the funding allocation. In this article we use a text mining technique to investigate the interpretations of impact put forward via impact case studies in the REF process. We find that institutions have developed a diverse interpretation of impact, ranging from commercial applications to public and cultural engagement activities. These interpretations of impact vary from discipline to discipline and between institutions, with more broad-based institutions depicting a greater variety of impacts. Comparing the interpretations with the score given by REF, we found no evidence of one particular interpretation being more highly rewarded than another. Importantly, we also found a positive correlation between impact score and [overall research] quality score, suggesting that impact is not being achieved at the expense of research excellence. PMID:27997599
Methods for examining data quality in healthcare integrated data repositories.
Huser, Vojtech; Kahn, Michael G; Brown, Jeffrey S; Gouripeddi, Ramkiran
2018-01-01
This paper summarizes content of the workshop focused on data quality. The first speaker (VH) described data quality infrastructure and data quality evaluation methods currently in place within the Observational Data Science and Informatics (OHDSI) consortium. The speaker described in detail a data quality tool called Achilles Heel and latest development for extending this tool. Interim results of an ongoing Data Quality study within the OHDSI consortium were also presented. The second speaker (MK) described lessons learned and new data quality checks developed by the PEDsNet pediatric research network. The last two speakers (JB, RG) described tools developed by the Sentinel Initiative and University of Utah's service oriented framework. The workshop discussed at the end and throughout how data quality assessment can be advanced by combining best features of each network.
Kim, Yoonsang; Huang, Jidong; Emery, Sherry
2016-02-26
Social media have transformed the communications landscape. People increasingly obtain news and health information online and via social media. Social media platforms also serve as novel sources of rich observational data for health research (including infodemiology, infoveillance, and digital disease detection detection). While the number of studies using social data is growing rapidly, very few of these studies transparently outline their methods for collecting, filtering, and reporting those data. Keywords and search filters applied to social data form the lens through which researchers may observe what and how people communicate about a given topic. Without a properly focused lens, research conclusions may be biased or misleading. Standards of reporting data sources and quality are needed so that data scientists and consumers of social media research can evaluate and compare methods and findings across studies. We aimed to develop and apply a framework of social media data collection and quality assessment and to propose a reporting standard, which researchers and reviewers may use to evaluate and compare the quality of social data across studies. We propose a conceptual framework consisting of three major steps in collecting social media data: develop, apply, and validate search filters. This framework is based on two criteria: retrieval precision (how much of retrieved data is relevant) and retrieval recall (how much of the relevant data is retrieved). We then discuss two conditions that estimation of retrieval precision and recall rely on--accurate human coding and full data collection--and how to calculate these statistics in cases that deviate from the two ideal conditions. We then apply the framework on a real-world example using approximately 4 million tobacco-related tweets collected from the Twitter firehose. We developed and applied a search filter to retrieve e-cigarette-related tweets from the archive based on three keyword categories: devices, brands, and behavior. The search filter retrieved 82,205 e-cigarette-related tweets from the archive and was validated. Retrieval precision was calculated above 95% in all cases. Retrieval recall was 86% assuming ideal conditions (no human coding errors and full data collection), 75% when unretrieved messages could not be archived, 86% assuming no false negative errors by coders, and 93% allowing both false negative and false positive errors by human coders. This paper sets forth a conceptual framework for the filtering and quality evaluation of social data that addresses several common challenges and moves toward establishing a standard of reporting social data. Researchers should clearly delineate data sources, how data were accessed and collected, and the search filter building process and how retrieval precision and recall were calculated. The proposed framework can be adapted to other public social media platforms.
A Framework for Quality Assurance in Child Welfare.
ERIC Educational Resources Information Center
O'Brien, Mary; Watson, Peter
In their search for new ways to assess their agencies' success in working with children and families, child welfare administrators and senior managers are increasingly seeking regular and reliable sources of information that help them evaluate agency performance, make ongoing decisions, and provide an accurate picture for agency staff and external…
In the United States, regional-scale photochemical models are being used to design emission control strategies needed to meet the relevant National Ambient Air Quality Standards (NAAQS) within the framework of the attainment demonstration process. Previous studies have shown that...
Evidencing Learning Outcomes: A Multi-Level, Multi-Dimensional Course Alignment Model
ERIC Educational Resources Information Center
Sridharan, Bhavani; Leitch, Shona; Watty, Kim
2015-01-01
This conceptual framework proposes a multi-level, multi-dimensional course alignment model to implement a contextualised constructive alignment of rubric design that authentically evidences and assesses learning outcomes. By embedding quality control mechanisms at each level for each dimension, this model facilitates the development of an aligned…
Assessing Team Learning in Technology-Mediated Collaboration: An Experimental Study
ERIC Educational Resources Information Center
Andres, Hayward P.; Akan, Obasi H.
2010-01-01
This study examined the effects of collaboration mode (collocated versus non-collocated videoconferencing-mediated) on team learning and team interaction quality in a team-based problem solving context. Situated learning theory and the theory of affordances are used to provide a framework that describes how technology-mediated collaboration…
USDA-ARS?s Scientific Manuscript database
Quantitative risk assessments of pollution and data related to the effectiveness of mitigating best management practices (BMPs) are important aspects of nonpoint source (NPS) pollution control efforts, particularly those driven by specific water quality objectives and by measurable improvement goals...
Counseling Chaos: Techniques for Practitioners
ERIC Educational Resources Information Center
Pryor, Robert G. L.; Bright, Jim E. H.
2006-01-01
The chaos theory of careers draws together a number of themes in current theory and research. This article applies some of these themes to career counseling. The chaos theory of careers is outlined, and a conceptual framework for understanding assessment and counseling issues that focuses on convergent and emergent qualities is presented. Three…
A Proposed Algebra Assessment for Use in a Problem-Analysis Framework
ERIC Educational Resources Information Center
Walick, Christopher M.; Burns, Matthew K.
2017-01-01
Algebra is critical to high school graduation and college success, but student achievement in algebra frequently falls significantly below expected proficiency levels. While existing research emphasizes the importance of quality algebra instruction, there is little research about how to conduct problem analysis for struggling secondary students.…
ERIC Educational Resources Information Center
Raban, Colin; Cairns, David
2015-01-01
In June 2015, the Higher Education Funding Council for England (HEFCE) proposed a lighter touch quality assessment regime that would place greater reliance on institutions' own governance arrangements. In July 2015 the Minister for Higher Education announced a Teaching Excellence Framework (TEF) parts of which appear inconsistent with HEFCE's…
ERIC Educational Resources Information Center
Abi-El-Mona, Issam; Abd-El-Khalick, Fouad
2011-01-01
This study aimed to elucidate college freshmen science students, secondary science teachers, and scientists' perceptions of "scientific" argument; to compare participants' perceptions with Stephen Toulmin's analytical framework of argument; and to characterize the criteria that participants deployed when assessing the "quality"…
Life Esteem: Quantitative and Qualitative Differences.
ERIC Educational Resources Information Center
Wheeler, Robert J.
The development of humanistic psychology has stimulated research that supports the importance of life esteem, or the way people view meaning and purpose in their lives. The Life Esteem survey is a self-report questionnaire designed to measure the four components of life esteem (framework, perspective, commitment, quality) and to assess the…
While nitrogen (N) is an essential element for life, human population growth and demands for energy, transportation and food can lead to excess nitrogen in the environment. A modeling framework is described and implemented to promote a more integrated, process-based and system le...
A Research Analytics Framework-Supported Recommendation Approach for Supervisor Selection
ERIC Educational Resources Information Center
Zhang, Mingyu; Ma, Jian; Liu, Zhiying; Sun, Jianshan; Silva, Thushari
2016-01-01
Identifying a suitable supervisor for a new research student is vitally important for his or her academic career. Current information overload and information disorientation have posed significant challenges for new students. Existing research for supervisor identification focuses on quality assessment of candidates, but ignores indirect relevance…
An assessment model for quality management
NASA Astrophysics Data System (ADS)
Völcker, Chr.; Cass, A.; Dorling, A.; Zilioli, P.; Secchi, P.
2002-07-01
SYNSPACE together with InterSPICE and Alenia Spazio is developing an assessment method to determine the capability of an organisation in the area of quality management. The method, sponsored by the European Space Agency (ESA), is called S9kS (SPiCE- 9000 for SPACE). S9kS is based on ISO 9001:2000 with additions from the quality standards issued by the European Committee for Space Standardization (ECSS) and ISO 15504 - Process Assessments. The result is a reference model that supports the expansion of the generic process assessment framework provided by ISO 15504 to nonsoftware areas. In order to be compliant with ISO 15504, requirements from ISO 9001 and ECSS-Q-20 and Q-20-09 have been turned into process definitions in terms of Purpose and Outcomes, supported by a list of detailed indicators such as Practices, Work Products and Work Product Characteristics. In coordination with this project, the capability dimension of ISO 15504 has been revised to be consistent with ISO 9001. As contributions from ISO 9001 and the space quality assurance standards are separable, the stripped down version S9k offers organisations in all industries an assessment model based solely on ISO 9001, and is therefore interesting to all organisations, which intend to improve their quality management system based on ISO 9001.
A framework for cultural competence in health care organizations.
Castillo, Richard J; Guo, Kristina L
2011-01-01
Increased racial and ethnic diversity in the United States brings challenges and opportunities for health care organizations to provide culturally competent services that effectively meet the needs of diverse populations. The need to provide more culturally competent care is essential to reducing and eliminating health disparities among minorities. By removing barriers to cultural competence and placing a stronger emphasis on culture in health care, health care organizations will be better able to address the unique health care needs of minorities. Organizations should assess cultural differences, gain greater cultural knowledge, and provide cultural competence training to deliver high-quality services. This article develops a framework to guide health care organizations as they focus on establishing culturally competent strategies and implementing best practices aimed to improve quality of care and achieve better outcomes for minority populations.
Nonprofit hospitals' approach to community health needs assessment.
Pennel, Cara L; McLeroy, Kenneth R; Burdine, James N; Matarrita-Cascante, David
2015-03-01
We sought a better understanding of how nonprofit hospitals are fulfilling the community health needs assessment (CHNA) provision of the 2010 Patient Protection and Affordable Care Act to conduct CHNAs and develop CHNA and implementation strategies reports. Through an Internet search of an estimated 179 nonprofit hospitals in Texas conducted between December 1, 2013, and January 5, 2014, we identified and reviewed 95 CHNA and implementation strategies reports. We evaluated and scored reports with specific criteria. We analyzed hospital-related and other report characteristics to understand relationships with report quality. There was wide-ranging diversity in CHNA approaches and report quality. Consultant-led CHNA processes and collaboration with local health departments were associated with higher-quality reports. At the time of this study, the Internal Revenue Service had not yet issued the final regulations for the CHNA requirement. This provides an opportunity to strengthen the CHNA guidance for the final regulations, clarify the purpose of the assessment and planning process and reports, and better align assessment and planning activities through a public health framework.
Forster, Alan J; Bernard, Burnand; Drösler, Saskia E; Gurevich, Yana; Harrison, James; Januel, Jean-Marie; Romano, Patrick S; Southern, Danielle A; Sundararajan, Vijaya; Quan, Hude; Vanderloo, Saskia E; Pincus, Harold A; Ghali, William A
2017-08-01
To assess the utility of the proposed World Health Organization (WHO)'s International Classification of Disease (ICD) framework for classifying patient safety events. Independent classification of 45 clinical vignettes using a web-based platform. The WHO's multi-disciplinary Quality and Safety Topic Advisory Group. The framework consists of three concepts: harm, cause and mode. We defined a concept as 'classifiable' if more than half of the raters could assign an ICD-11 code for the case. We evaluated reasons why cases were nonclassifiable using a qualitative approach. Harm was classifiable in 31 of 45 cases (69%). Of these, only 20 could be classified according to cause and mode. Classifiable cases were those in which a clear cause and effect relationship existed (e.g. medication administration error). Nonclassifiable cases were those without clear causal attribution (e.g. pressure ulcer). Of the 14 cases in which harm was not evident (31%), only 5 could be classified according to cause and mode and represented potential adverse events. Overall, nine cases (20%) were nonclassifiable using the three-part patient safety framework and contained significant ambiguity in the relationship between healthcare outcome and putative cause. The proposed framework enabled classification of the majority of patient safety events. Cases in which potentially harmful events did not cause harm were not classifiable; additional code categories within the ICD-11 are one proposal to address this concern. Cases with ambiguity in cause and effect relationship between healthcare processes and outcomes remain difficult to classify. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
Roeg, Diana; van de Goor, Ien; Garretsen, Henk
2005-06-01
We investigated the concept of 'quality of assertive outreach programmes for severely impaired substance abusers' with the aim of developing a conceptual framework as the basis for an assessment instrument. We held a concept-mapping session with 13 experts in 2003. Fifty measurable elements of quality were mentioned and rated in terms of relative importance on a Likert-type response scale. Subsequently, the experts grouped the statements that were similar in content. The resulting concept map and additional interpretation made up the final quality framework. SETTING/STUDY PARTICIPANTS: Theoretical sampling was used to select Dutch managers, team leaders, and service providers from different assertive outreach delivery systems for substance abusers. Variation in both perspective and region was reflected in the sample. Nine aspects of quality were formulated: preconditions for care, preconditions for service providers' work, relationship to regular care, service providers' activities and goals, service providers' skills, the role of repression, optimal care for the client, goals of assertive outreach, and nuisance reduction to society. Each aspect was presented using a selection of measurable elements. According to the experts, optimal assertive outreach depends on a broad range of aspects that were later classified in three regions: structure, process, and outcomes. Saturation of the elements has not been proved so far. Nevertheless, it is promising that the framework's regions are supported by theory and that it is largely in accordance with clients' perspectives on assertive community treatment.
Salcedo-Sánchez, Edith R; Garrido Hoyos, Sofía E; Esteller Alberich, Ma Vicenta; Martínez Morales, Manuel
2016-10-01
The spatial and temporal variation of water quality in the urban area of the Puebla Valley aquifer was evaluated using historical and present data obtained during this investigation. The current study assessed water quality based on the Water Quality Index developed by the Canadian Council of Ministers of the Environment (CCME-WQI), which provides a mathematical framework to evaluate the quality of water in combination with a set of conditions representing quality criteria, or limits. This index is flexible regarding the type and number of variables used by the evaluation given that the variables of interest are selected according to the characteristics and objectives of development, conservation and compliance with regulations. The CCME-WQI was calculated using several variables that assess the main use of the wells in the urban area that is public supply, according to criteria for human use and consumption established by Mexican law and international standards proposed by the World Health Organization. The assessment of the index shows a gradual deterioration in the quality of the aquifer over time, as the amount of wells with excellent quality have decreased and those with lower index values (poor quality) have increased throughout the urban area of the Puebla Valley aquifer. The parameters affecting groundwater quality are: total dissolved solids, sulfate, calcium, magnesium and total hardness.
DEVELOPING WATER QUALITY CRITERIA FOR SUSPENDED AND BEDDED SEDIMENTS
The U.S. EPA’s Framework for Developing Suspended and Bedded Sediments (SABS) Water Quality Criteria (SABS Framework) is a nationally-consistent process for developing ambient sediment quality criteria for surface waters. The SABS Framework accommodates natural variation among wa...
Simulation-based optimization framework for reuse of agricultural drainage water in irrigation.
Allam, A; Tawfik, A; Yoshimura, C; Fleifle, A
2016-05-01
A simulation-based optimization framework for agricultural drainage water (ADW) reuse has been developed through the integration of a water quality model (QUAL2Kw) and a genetic algorithm. This framework was applied to the Gharbia drain in the Nile Delta, Egypt, in summer and winter 2012. First, the water quantity and quality of the drain was simulated using the QUAL2Kw model. Second, uncertainty analysis and sensitivity analysis based on Monte Carlo simulation were performed to assess QUAL2Kw's performance and to identify the most critical variables for determination of water quality, respectively. Finally, a genetic algorithm was applied to maximize the total reuse quantity from seven reuse locations with the condition not to violate the standards for using mixed water in irrigation. The water quality simulations showed that organic matter concentrations are critical management variables in the Gharbia drain. The uncertainty analysis showed the reliability of QUAL2Kw to simulate water quality and quantity along the drain. Furthermore, the sensitivity analysis showed that the 5-day biochemical oxygen demand, chemical oxygen demand, total dissolved solids, total nitrogen and total phosphorous are highly sensitive to point source flow and quality. Additionally, the optimization results revealed that the reuse quantities of ADW can reach 36.3% and 40.4% of the available ADW in the drain during summer and winter, respectively. These quantities meet 30.8% and 29.1% of the drainage basin requirements for fresh irrigation water in the respective seasons. Copyright © 2016 Elsevier Ltd. All rights reserved.
Development and validation of a child health workforce competence framework.
Smith, Lynda; Hawkins, Jean; McCrum, Anita
2011-05-01
Providing high quality, effective services is fundamental to the delivery of key health outcomes for children and young people. This requires a competent workforce. This paper reports on the development of a validated competence framework tool for the children and young people's health workforce. The framework brings together policy, strategic agendas and existing workforce competences. The framework will contribute to the improvement of children's physical and mental wellbeing by identifying competences required to provide proactive services that respond to children and young people with acute, continuing and complex needs. It details five core competences for the workforce, the functions that underpin them and levels of competence required to deliver a particular service. The framework will be of value to commissioners to inform contracting, to providers to ensure services are delivered by a workforce with relevant competences to meet identified needs, and to the workforce to assess existing capabilities and identify gaps in competence.
Improving care for patients on antiretroviral therapy through a gap analysis framework.
Massoud, M Rashad; Shakir, Fazila; Livesley, Nigel; Muhire, Martin; Nabwire, Juliana; Ottosson, Amanda; Jean-Baptiste, Rachel; Megere, Humphrey; Karamagi-Nkolo, Esther; Gaudreault, Suzanne; Marks, Pamela; Jennings, Larissa
2015-07-01
To improve quality of care through decreasing existing gaps in the areas of coverage, retention, and wellness of patients receiving HIV care and treatment. The antiretroviral therapy (ART) Framework utilizes improvement methods and the Chronic Care Model to address the coverage, retention, and wellness gaps in HIV care and treatment. This is a time-series study. The ART Framework was applied in five health centers in Buikwe District, Uganda. Quality improvement teams, consisting of healthcare workers and expert patients, were established in each of the five healthcare facilities. The intervention period was October 2010 to September 2012. It consisted of quality improvement teams analyzing their facility and systems of care from the perspective of the Chronic Care Model to identify areas of improvement. They implemented the ART Framework, collected data and assessed outcomes, focused on self-management support for patients, to improve coverage, retention, and wellness gaps in HIV care and treatment. Coverage was defined as every patient who needs ART in the catchment area, receives it. Retention was defined as every patient who receives ART stays on ART, and wellness defined as having a positive clinical, immunological, and/or virological response to treatment without intolerable or unmanageable side-effects. Results from Buikwe show the gaps in coverage, retention, and wellness greatly decreased a gap in coverage of 44-19%, gap in retention of 49-24%, and gap in wellness of 53-14% during a 2-year intervention period. The ART Framework is an innovative and practical tool for HIV program managers to improve HIV care and treatment.
Temperature dependent magnon-phonon coupling in bcc Fe from theory and experiment.
Körmann, F; Grabowski, B; Dutta, B; Hickel, T; Mauger, L; Fultz, B; Neugebauer, J
2014-10-17
An ab initio based framework for quantitatively assessing the phonon contribution due to magnon-phonon interactions and lattice expansion is developed. The theoretical results for bcc Fe are in very good agreement with high-quality phonon frequency measurements. For some phonon branches, the magnon-phonon interaction is an order of magnitude larger than the phonon shift due to lattice expansion, demonstrating the strong impact of magnetic short-range order even significantly above the Curie temperature. The framework closes the previous simulation gap between the ferro- and paramagnetic limits.
Dy, Sydney M; Al Hamayel, Nebras Abu; Hannum, Susan M; Sharma, Ritu; Isenberg, Sarina R; Kuchinad, Kamini; Zhu, Junya; Smith, Katherine; Lorenz, Karl A; Kamal, Arif H; Walling, Anne M; Weaver, Sallie J
2017-12-01
Although critical for improving patient outcomes, palliative care quality indicators are not yet widely used. Better understanding of facilitators and barriers to palliative care quality measurement and improvement might improve their use and program quality. Development of a survey tool to assess palliative care team perspectives on facilitators and barriers to quality measurement and improvement in palliative care programs. We used the adapted Consolidated Framework for Implementation Research to define domains and constructs to select instruments. We assembled a draft survey and assessed content validity through pilot testing and cognitive interviews with experts and frontline practitioners for key items. We analyzed responses using a constant comparative process to assess survey item issues and potential solutions. We developed a final survey using these results. The survey includes five published instruments and two additional item sets. Domains include organizational characteristics, individual and team characteristics, intervention characteristics, and process of implementation. Survey modules include Quality Improvement in Palliative Care, Implementing Quality Improvement in the Palliative Care Program, Teamwork and Communication, Measuring the Quality of Palliative Care, and Palliative Care Quality in Your Program. Key refinements from cognitive interviews included item wording on palliative care team members, programs, and quality issues. This novel, adaptable instrument assesses palliative care team perspectives on barriers and facilitators for quality measurement and improvement in palliative care programs. Next steps include evaluation of the survey's construct validity and how survey results correlate with findings from program quality initiatives. Copyright © 2017 American Academy of Hospice and Palliative Medicine. All rights reserved.
Assessment of maternal health care quality: conceptual and methodologic issues.
Lane, D S; Kelman, H R
1975-10-01
Past efforts in assessment of the quality of maternity care have been analyzed in order to develop an evaluation framework that will have utility and applicability beyond a specific program, population, or health discipline. Presently available evaluation approaches have focused attention on either "high risk" populations or upon women experiencing a complicated pregnancy or delivery. Quality has been defined as the extent to which normative or empirically derived standards of obstetrical care have been applied. An alternative approach is suggested which conceives of the pregnancy as a normal physiological event but with the potentiality of either causing or exacerbating social or health problems. Maternity care quality is viewed as the application of those necessary health and health-related services that are required to safeguard the health of the mother and offspring, minimize the noxious consequences of pre-existing or concurrent health hazards or conditions, and upgrade the health and social functioning of those women who require it. Additionally, the system of services should be functionally organized to optimize care. Indicators of quality are suggested which incorporate structural, process, and outcome variables, and which link medical and consumer criteria in a comprehensive community level approach to quality assessment.
2013-01-01
In 2003, the International Patient Decision Aid Standards (IPDAS) Collaboration was established to enhance the quality and effectiveness of patient decision aids by establishing an evidence-informed framework for improving their content, development, implementation, and evaluation. Over this 10 year period, the Collaboration has established: a) the background document on 12 core dimensions to inform the original modified Delphi process to establish the IPDAS checklist (74 items); b) the valid and reliable IPDAS instrument (47 items); and c) the IPDAS qualifying (6 items), certifying (6 items + 4 items for screening), and quality criteria (28 items). The objective of this paper is to describe the evolution of the IPDAS Collaboration and discuss the standardized process used to update the background documents on the theoretical rationales, evidence and emerging issues underlying the 12 core dimensions for assessing the quality of patient decision aids. PMID:24624947
Szwedo, David E.; Mikami, Amori Yee; Allen, Joseph P.
2010-01-01
This study examined associations between characteristics of teenagers’ relationships with their mothers and their later socializing behavior and peer relationship quality online. At age 13, teenagers and their mothers participated in an interaction in which mothers’ and adolescents’ behavior undermining autonomy and relatedness was observed, and indicators of teens’ depressive symptoms and social anxiety were assessed. At age 20, youth self-reported on their online behaviors, youths’ social networking webpages were observationally coded to assess peer relationship quality online, and symptoms of depression and social anxiety were reassessed. Results suggested that problematic mother-teen relationships were predictive of youths’ later preference for online communication and greater likelihood of forming a friendship with someone met online, yet poorer quality in online relationships. Findings are discussed within a developmental framework suggesting the importance of considering youths’ family interactions during early adolescence as predictors of future online socializing behavior and online interactions with peers. PMID:21860584
Szwedo, David E; Mikami, Amori Yee; Allen, Joseph P
2011-09-01
This study examined associations between characteristics of teenagers' relationships with their mothers and their later socializing behavior and peer relationship quality online. At age 13, teenagers and their mothers participated in an interaction in which mothers' and adolescents' behavior undermining autonomy and relatedness was observed, and indicators of teens' depressive symptoms and social anxiety were assessed. At age 20, youth self-reported on their online behaviors, youths' social networking webpages were observationally coded to assess peer relationship quality online, and symptoms of depression and social anxiety were reassessed. Results suggested that problematic mother-teen relationships were predictive of youths' later preference for online communication and greater likelihood of forming a friendship with someone met online, yet poorer quality in online relationships. Findings are discussed within a developmental framework suggesting the importance of considering youths' family interactions during early adolescence as predictors of future online socializing behavior and online interactions with peers.
2010-01-01
Background The measurement of healthcare provider performance is becoming more widespread. Physicians have been guarded about performance measurement, in part because the methodology for comparative measurement of care quality is underdeveloped. Comprehensive quality improvement will require comprehensive measurement, implying the aggregation of multiple quality metrics into composite indicators. Objective To present a conceptual framework to develop comprehensive, robust, and transparent composite indicators of pediatric care quality, and to highlight aspects specific to quality measurement in children. Methods We reviewed the scientific literature on composite indicator development, health systems, and quality measurement in the pediatric healthcare setting. Frameworks were selected for explicitness and applicability to a hospital-based measurement system. Results We synthesized various frameworks into a comprehensive model for the development of composite indicators of quality of care. Among its key premises, the model proposes identifying structural, process, and outcome metrics for each of the Institute of Medicine's six domains of quality (safety, effectiveness, efficiency, patient-centeredness, timeliness, and equity) and presents a step-by-step framework for embedding the quality of care measurement model into composite indicator development. Conclusions The framework presented offers researchers an explicit path to composite indicator development. Without a scientifically robust and comprehensive approach to measurement of the quality of healthcare, performance measurement will ultimately fail to achieve its quality improvement goals. PMID:20181129
Automated Data Quality Assurance using OGC Sensor Web Enablement Frameworks for Marine Observatories
NASA Astrophysics Data System (ADS)
Toma, Daniel; Bghiel, Ikram; del Rio, Joaquin; Hidalgo, Alberto; Carreras, Normandino; Manuel, Antoni
2014-05-01
Over the past years, environmental sensors have continuously improved by becoming smaller, cheaper, and more intelligent. Therefore, many sensor networks are increasingly deployed to monitor our environment. But due to the large number of sensor manufacturers, accompanying protocols and data encoding, automated integration and data quality assurance of diverse sensors in an observing systems is not straightforward, requiring development of data management code and manual tedious configuration. However, over the past few years it has been demonstrated that Open-Geospatial Consortium (OGC) frameworks can enable web services with fully-described sensor systems, including data processing, sensor characteristics and quality control tests and results. So far, the SWE framework does not describe how to integrate sensors on-the-fly with minimal human intervention. The data management software which enables access to sensors, data processing and quality control tests has to be implemented and the results have to be manually mapped to the SWE models. In this contribution, we describe a Sensor Plug & Play infrastructure for the Sensor Web by combining (1) OGC PUCK protocol - a simple standard embedded instrument protocol to store and retrieve directly from the devices the declarative description of sensor characteristics and quality control tests, (2) an automatic mechanism for data processing and quality control tests underlying the Sensor Web - the Sensor Interface Descriptor (SID) concept, as well as (3) a model for the declarative description of sensor which serves as a generic data management mechanism - designed as a profile and extension of OGC SWE's SensorML standard. We implement and evaluate our approach by applying it to the OBSEA Observatory, and can be used to demonstrate the ability to assess data quality for temperature, salinity, air pressure and wind speed and direction observations off the coast of Garraf, in the north-eastern Spain.
Shah, Nirali M; Wang, Wenjuan; Bishai, David M
2011-01-01
Policy makers in developing countries need to assess how public health programmes function across both public and private sectors. We propose an evaluation framework to assist in simultaneously tracking performance on efficiency, quality and access by the poor in family planning services. We apply this framework to field data from family planning programmes in Ethiopia and Pakistan, comparing (1) independent private sector providers; (2) social franchises of private providers; (3) non-government organization (NGO) providers; and (4) government providers on these three factors. Franchised private clinics have higher quality than non-franchised private clinics in both countries. In Pakistan, the costs per client and the proportion of poorest clients showed no differences between franchised and non-franchised private clinics, whereas in Ethiopia, franchised clinics had higher costs and fewer clients from the poorest quintile. Our results highlight that there are trade-offs between access, cost and quality of care that must be balanced as competing priorities. The relative programme performance of various service arrangements on each metric will be context specific. PMID:21729919
Shah, Nirali M; Wang, Wenjuan; Bishai, David M
2011-07-01
Policy makers in developing countries need to assess how public health programmes function across both public and private sectors. We propose an evaluation framework to assist in simultaneously tracking performance on efficiency, quality and access by the poor in family planning services. We apply this framework to field data from family planning programmes in Ethiopia and Pakistan, comparing (1) independent private sector providers; (2) social franchises of private providers; (3) non-government organization (NGO) providers; and (4) government providers on these three factors. Franchised private clinics have higher quality than non-franchised private clinics in both countries. In Pakistan, the costs per client and the proportion of poorest clients showed no differences between franchised and non-franchised private clinics, whereas in Ethiopia, franchised clinics had higher costs and fewer clients from the poorest quintile. Our results highlight that there are trade-offs between access, cost and quality of care that must be balanced as competing priorities. The relative programme performance of various service arrangements on each metric will be context specific.
Beyond image quality: designing engaging interactions with digital products
NASA Astrophysics Data System (ADS)
de Ridder, Huib; Rozendaal, Marco C.
2008-02-01
Ubiquitous computing (or Ambient Intelligence) promises a world in which information is available anytime anywhere and with which humans can interact in a natural, multimodal way. In such world, perceptual image quality remains an important criterion since most information will be displayed visually, but other criteria such as enjoyment, fun, engagement and hedonic quality are emerging. This paper deals with engagement, the intrinsically enjoyable readiness to put more effort into exploring and/or using a product than strictly required, thus attracting and keeping user's attention for a longer period of time. The impact of the experienced richness of an interface, both visually and degree of possible manipulations, was investigated in a series of experiments employing game-like user interfaces. This resulted in the extension of an existing conceptual framework relating engagement to richness by means of two intermediating variables, namely experienced challenge and sense of control. Predictions from this revised framework are evaluated against results of an earlier experiment assessing the ergonomic and hedonic qualities of interactive media. Test material consisted of interactive CD-ROM's containing presentations of three companies for future customers.
Hulton, Louise; Matthews, Zoë; Bandali, Sarah; Izge, Abubakar; Daroda, Ramatu; Stones, William
2016-01-01
Quality of care is essential to maternal and newborn survival. The multidimensional nature of quality of care means that frameworks are useful for capturing it. The present paper proposes an adaptation to a widely used quality of care framework for maternity services. The framework subdivides quality into two inter-related dimensions-provision and experience of care-but suggests adaptations to reflect changes in the concept of quality over the past 15years. The application of the updated framework is presented in a case study, which uses it to measure and inform quality improvements in northern Nigeria across the reproductive, maternal, newborn, and child health continuum of care. Data from 231 sampled basic and comprehensive emergency obstetric and newborn care (BEmONC and CEmONC) facilities in six northern Nigerian states showed that only 35%-47% of facilities met minimum quality standards in infrastructure. Standards for human resources performed better with 49%-73% reaching minimum standards. A framework like this could form the basis for a certification scheme. Certification offers a practical and concrete opportunity to drive quality standards up and reward good performance. It also offers a mechanism to strengthen accountability. Copyright © 2015 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Liu, Bo; Evans, Meredydd; Yu, Sha
Readily available and reliable energy data is fundamental to effective analysis and policymaking for the energy sector. Energy statistics of high quality, systematically compiled and effectively disseminated, not only support governments to ensure national security and evaluate energy policies, but they also guide investment decisions in both the private and public sectors. Because of energy’s close link to greenhouse gas emissions, energy data has a particularly important role in assessing emissions and strategies to reduce emissions. In this study, energy data management in four countries – Canada, Germany, the United Kingdom and the United States – are examined from bothmore » organizational and operational perspectives. With insights from these best practices, we present a framework for the evaluation of national energy data management systems. It can be used by national statistics compilers to assess their chosen model and to identify areas for improvement. We then use India as a test case for this framework. Its government is working to enhance India’s energy data management to improve sustainable growth planning.« less
Deeming, Simon; Searles, Andrew; Reeves, Penny; Nilsson, Michael
2017-03-21
Realising the economic potential of research institutions, including medical research institutes, represents a policy imperative for many Organisation for Economic Co-operation and Development nations. The assessment of research impact has consequently drawn increasing attention. Research impact assessment frameworks (RIAFs) provide a structure to assess research translation, but minimal research has examined whether alternative RIAFs realise the intended policy outcomes. This paper examines the objectives presented for RIAFs in light of economic imperatives to justify ongoing support for health and medical research investment, leverage productivity via commercialisation and outcome-efficiency gains in health systems, and ensure that translation and impact considerations are embedded into the research process. This paper sought to list the stated objectives for RIAFs, to identify existing frameworks and to evaluate whether the identified frameworks possessed the capabilities necessary to address the specified objectives. A scoping review of the literature to identify objectives specified for RIAFs, inform upon descriptive criteria for each objective and identify existing RIAFs. Criteria were derived for each objective. The capability for the existing RIAFs to realise the alternative objectives was evaluated based upon these criteria. The collated objectives for RIAFs included accountability (top-down), transparency/accountability (bottom-up), advocacy, steering, value for money, management/learning and feedback/allocation, prospective orientation, and speed of translation. Of the 25 RIAFs identified, most satisfied objectives such as accountability and advocacy, which are largely sufficient for the first economic imperative to justify research investment. The frameworks primarily designed to optimise the speed of translation or enable the prospective orientation of research possessed qualities most likely to optimise the productive outcomes from research. However, the results show that few frameworks met the criteria for these objectives. It is imperative that the objective(s) for an assessment framework are explicit and that RIAFs are designed to realise these objectives. If the objectives include the capability to pro-actively drive productive research impacts, the potential for prospective orientation and a focus upon the speed of translation merits prioritisation. Frameworks designed to optimise research translation and impact, rather than simply assess impact, offer greater promise to contribute to the economic imperatives compelling their implementation.
Advancing Resident Assessment in Graduate Medical Education
Swing, Susan R.; Clyman, Stephen G.; Holmboe, Eric S.; Williams, Reed G.
2009-01-01
Background The Outcome Project requires high-quality assessment approaches to provide reliable and valid judgments of the attainment of competencies deemed important for physician practice. Intervention The Accreditation Council for Graduate Medical Education (ACGME) convened the Advisory Committee on Educational Outcome Assessment in 2007–2008 to identify high-quality assessment methods. The assessments selected by this body would form a core set that could be used by all programs in a specialty to assess resident performance and enable initial steps toward establishing national specialty databases of program performance. The committee identified a small set of methods for provisional use and further evaluation. It also developed frameworks and processes to support the ongoing evaluation of methods and the longer-term enhancement of assessment in graduate medical education. Outcome The committee constructed a set of standards, a methodology for applying the standards, and grading rules for their review of assessment method quality. It developed a simple report card for displaying grades on each standard and an overall grade for each method reviewed. It also described an assessment system of factors that influence assessment quality. The committee proposed a coordinated, national-level infrastructure to support enhancements to assessment, including method development and assessor training. It recommended the establishment of a new assessment review group to continue its work of evaluating assessment methods. The committee delivered a report summarizing its activities and 5 related recommendations for implementation to the ACGME Board in September 2008. PMID:21975993
Cadorin, Lucia; Bagnasco, Annamaria; Tolotti, Angela; Pagnucci, Nicola; Sasso, Loredana
2016-09-01
To identify, evaluate and describe the psychometric properties of instruments that measure learning outcomes in healthcare students. Meaningful learning is an active process that enables a wider and deeper understanding of concepts. It is the result of an interaction between new and prior knowledge and produces a long-standing change in knowledge and skills. In the field of education, validated and reliable instruments for assessing meaningful learning are needed. A psychometric systematic review. MEDLINE CINAHL, SCOPUS, ERIC, Cochrane Library, Psychology & Behavioural Sciences Collection Database from 1990-December 2013. Using pre-determined inclusion criteria, three reviewers independently identified studies for full-text review. Then they extracted data for quality appraisal and graded instrument validity using the Consensus-based Standards for the selection of the health status Measurement INstruments checklist and the Psychometric Grading Framework. Of the 57 studies identified for full-text review, 16 met the inclusion criteria and 13 different instruments were assessed. Following quality assessment, only one instrument was considered of good quality but it measured meaningful learning only in part; the others were either fair or poor. The Psychometric Grading Framework indicated that one instrument was weak, while the others were very weak. No instrument displayed adequate validity. The systematic review produced a synthesis of the psychometric properties of tools that measure learning outcomes in students of healthcare disciplines. Measuring learning outcomes is very important when educating health professionals. The identified tools may constitute a starting point for the development of other assessment tools. © 2016 John Wiley & Sons Ltd.
Comparison of national mental health quality assessment programs across the globe.
Parameswaran, Sharat; Spaeth-Rublee, Brigitta; Huynh, Phuong Trang; Pincus, Harold Alan
2012-10-01
This study by the International Initiative for Mental Health Leadership Clinical Leaders Project sought to describe ongoing or soon-to-be-established national-level mental health quality measurement programs in 12 participating countries, in order to understand the nature and structure of these programs. A survey was distributed to representatives from the participating countries (Australia, Canada, England, Germany, Ireland, Japan, the Netherlands, New Zealand, Norway, Scotland, Taiwan, and the United States). Data included descriptions of qualifying programs and the organizations responsible for them, quality indicators used, entities assessed, sources and means of the programs' data collection, the level at which data are reported, and how the data are used. Participants were asked to identify which quality domains and subdomains were represented by indicators in each program. Results were analyzed with descriptive statistics. Thirty-eight programs were identified. Most programs were administered by governmental organizations, focused on hospital care, and used encounter or utilization databases as sources of information. Programs used different methods to identify indicators. Program data were used for various purposes. A wide range of domains of quality were represented in the programs reported, although most commonality was seen in domains associated with high-acuity care, with fewer programs assessing recovery-related domains. This study found wide variation among established quality assessment programs, which may reflect a focus on local priorities. The goal of this project is to work toward establishing an international framework for mental health quality assessment and thus a means to compare key measures of performance across countries.
New approach for quality control in manufacturing process
NASA Astrophysics Data System (ADS)
Hanzah, Muhammad Radhi bin; Rahim, Wan Mohd Faizal Wan Abd; Khor, C. Y.; Ishak, Muhammad Ikman; Rosli, M. U.; Jamalludin, Mohd Riduan; Zakaria, M. S.; Nawi, M. A. M.
2017-09-01
This study was regulated exclusively in view of theoretical aspect and further research should be done to demonstrate it in the genuine circumstance. The structure of this investigation including two industrial visits, i.e. interviews and meeting with approved staff from each organization agents. This review is cut up into two sections. Aside from the perception, little gatherings with the staffs from both organizations are held. With the subtle elements, the review is begun up. The aim of the study is characterized as to enhance the assessment strategy at quality control station to minimize defect outflow to the following client. This is to investigate the underlying factor in ebb and flow quality control framework so that another strategy to enhance quality control framework can implemented. Quality is a basic characteristic to be instated so that the end goal to fulfill clients' need is achieved. After a long hypothetical review is made, the best answer for be actualized at QG station to beat defects outflow to the following customer is by photoelectric sensor. It is reasonable, simple to keep up and has a high affectability to identify the defective items at the QG station.
Review of quality assessment tools for the evaluation of pharmacoepidemiological safety studies
Neyarapally, George A; Hammad, Tarek A; Pinheiro, Simone P; Iyasu, Solomon
2012-01-01
Objectives Pharmacoepidemiological studies are an important hypothesis-testing tool in the evaluation of postmarketing drug safety. Despite the potential to produce robust value-added data, interpretation of findings can be hindered due to well-recognised methodological limitations of these studies. Therefore, assessment of their quality is essential to evaluating their credibility. The objective of this review was to evaluate the suitability and relevance of available tools for the assessment of pharmacoepidemiological safety studies. Design We created an a priori assessment framework consisting of reporting elements (REs) and quality assessment attributes (QAAs). A comprehensive literature search identified distinct assessment tools and the prespecified elements and attributes were evaluated. Primary and secondary outcome measures The primary outcome measure was the percentage representation of each domain, RE and QAA for the quality assessment tools. Results A total of 61 tools were reviewed. Most tools were not designed to evaluate pharmacoepidemiological safety studies. More than 50% of the reviewed tools considered REs under the research aims, analytical approach, outcome definition and ascertainment, study population and exposure definition and ascertainment domains. REs under the discussion and interpretation, results and study team domains were considered in less than 40% of the tools. Except for the data source domain, quality attributes were considered in less than 50% of the tools. Conclusions Many tools failed to include critical assessment elements relevant to observational pharmacoepidemiological safety studies and did not distinguish between REs and QAAs. Further, there is a lack of considerations on the relative weights of different domains and elements. The development of a quality assessment tool would facilitate consistent, objective and evidence-based assessments of pharmacoepidemiological safety studies. PMID:23015600
Bhattacharyya, Sanghita; Srivastava, Aradhana; Knight, Marian
2014-11-13
In India there is a thrust towards promoting institutional delivery, resulting in problems of overcrowding and compromise to quality of care. Review of near-miss obstetric events has been suggested to be useful to investigate health system functioning, complementing maternal death reviews. The aim of this project was to identify the key elements required for a near-miss review programme for India. A structured review was conducted to identify methods used in assessing near-miss cases. The findings of the structured review were used to develop a suggested framework for conducting near-miss reviews in India. A pool of experts in near-miss review methods in low and middle income countries (LMICs) was identified for vetting the framework developed. Opinions were sought about the feasibility of implementing near-miss reviews in India, the processes to be followed, factors that made implementation successful and the associated challenges. A draft of the framework was revised based on the experts' opinions. Five broad methods of near-miss case review/audit were identified: Facility-based near-miss case review, confidential enquiries, criterion-based clinical audit, structured case review (South African Model) and home-based interviews. The opinion of the 11 stakeholders highlighted that the methods that a facility adopts should depend on the type and number of cases the facility handles, availability and maintenance of a good documentation system, and local leadership and commitment of staff. A proposed framework for conducting near-miss reviews was developed that included a combination of criterion-based clinical audit and near-miss review methods. The approach allowed for development of a framework for researchers and planners seeking to improve quality of maternal care not only at the facility level but also beyond, encompassing community health workers and referral. Further work is needed to evaluate the implementation of this framework to determine its efficacy in improving the quality of care and hence maternal and perinatal morbidity and mortality.
An overview on the emerging area of identification, characterization, and assessment of health apps.
Paglialonga, Alessia; Lugo, Alessandra; Santoro, Eugenio
2018-05-28
The need to characterize and assess health apps has inspired a significant amount of research in the past years, in search for methods able to provide potential app users with relevant, meaningful knowledge. This article presents an overview of the recent literature in this field and categorizes - by discussing some specific examples - the various methodologies introduced so far for the identification, characterization, and assessment of health apps. Specifically, this article outlines the most significant web-based resources for app identification, relevant frameworks for descriptive characterization of apps' features, and a number of methods for the assessment of quality along its various components (e.g., evidence base, trustworthiness, privacy, or user engagement). The development of methods to characterize the apps' features and to assess their quality is important to define benchmarks and minimum requirements. Similarly, such methods are important to categorize potential risks and challenges in the field so that risks can be minimized, whenever possible, by design. Understanding methods to assess apps is key to raise the standards of quality of health apps on the market, towards the final goal of delivering apps that are built on the pillars of evidence-base, reliability, long-term effectiveness, and user-oriented quality. Copyright © 2018. Published by Elsevier Inc.
Sasaki, Hatoko; Yonemoto, Naohiro; Mori, Rintaro; Nishida, Toshihiko; Kusuda, Satoshi; Nakayama, Takeo
2017-06-01
To assess organizational culture in neonatal intensive care units (NICUs) in Japan. Cross-sectional survey of organizational culture. Forty NICUs across Japan. Physicians and nurses who worked in NICUs (n = 2006). The Competing Values Framework (CVF) was used to assess the organizational culture of the study population. The 20-item CVF was divided into four culture archetypes: Group, Developmental, Hierarchical and Rational. We calculated geometric means (gmean) and 95% bootstrap confidence intervals of the individual dimensions by unit and occupation. The median number of staff, beds, physicians' work hours and work engagement were also calculated to examine the differences by culture archetypes. Group (gmean = 34.6) and Hierarchical (gmean = 31.7) culture archetypes were higher than Developmental (gmean = 16.3) and Rational (gmean = 17.4) among physicians as a whole. Hierarchical (gmean = 36.3) was the highest followed by Group (gmean = 25.8), Developmental (gmean = 16.3) and Rational (gmean = 21.7) among nurses as a whole. Units with dominant Hierarchical culture had a slightly higher number of physicians (median = 7) than dominant Group culture (median = 6). Units with dominant Group culture had a higher number of beds (median = 12) than dominant Hierarchical culture (median = 9) among physicians. Nurses from units with a dominant Group culture (median = 2.8) had slightly higher work engagement compared with those in units with a dominant Hierarchical culture (median = 2.6). Our findings revealed that organizational culture in NICUs varies depending on occupation and group size. Group and Hierarchical cultures predominated in Japanese NICUs. Assessing organizational culture will provide insights into the perceptions of unit values to improve quality of care. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care
Haines, Seth S.; Diffendorfer, Jay E.; Balistrieri, Laurie; ...
2013-05-15
Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sagemore » grouse leks and pinon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. In conclusion, the framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.« less
Haines, Seth S.; Diffendorfer, James; Balistrieri, Laurie S.; Berger, Byron R.; Cook, Troy A.; Gautier, Donald L.; Gallegos, Tanya J.; Gerritsen, Margot; Graffy, Elisabeth; Hawkins, Sarah; Johnson, Kathleen; Macknick, Jordan; McMahon, Peter; Modde, Tim; Pierce, Brenda; Schuenemeyer, John H.; Semmens, Darius; Simon, Benjamin; Taylor, Jason; Walton-Day, Katherine
2013-01-01
Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and piñon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. The framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.
Capturing, Harmonizing and Delivering Data and Quality Provenance
NASA Technical Reports Server (NTRS)
Leptoukh, Gregory; Lynnes, Christopher
2011-01-01
Satellite remote sensing data have proven to be vital for various scientific and applications needs. However, the usability of these data depends not only on the data values but also on the ability of data users to assess and understand the quality of these data for various applications and for comparison or inter-usage of data from different sensors and models. In this paper, we describe some aspects of capturing, harmonizing and delivering this information to users in the framework of distributed web-based data tools.
fRMSDPred: Predicting Local RMSD Between Structural Fragments Using Sequence Information
2007-04-04
machine learning approaches for estimating the RMSD value of a pair of protein fragments. These estimated fragment-level RMSD values can be used to construct the alignment, assess the quality of an alignment, and identify high-quality alignment segments. We present algorithms to solve this fragment-level RMSD prediction problem using a supervised learning framework based on support vector regression and classification that incorporates protein profiles, predicted secondary structure, effective information encoding schemes, and novel second-order pairwise exponential kernel
Currò, Vincenzo; Buonuomo, Paola Sabrina; Zambiano, Annaluce; Vituzzi, Andrea; Onesimo, Roberta; D'Atri, Alessandro
2007-01-01
The aim of this study is to verify the usefulness for parents of a web evaluation framework composed of ten quality criteria to improve their ability to assess the quality level of medical web sites. We conducted a randomised controlled trial that included two groups of parents who independently evaluated five paediatric web sites by filling out two distinct questionnaires: group A with the evaluation framework, group B without it. 40 volunteers were recruited from parents referring to the General Paediatrics Out-patients Department who satisfied the following eligibility criteria: Internet users, at least 1 child under 12 months old, no professional skill in Internet and medicine. The survey was taken between February 2, 2000 and March 22, 2000. Parents evaluated each web site and assigned a score, compared with a gold standard created by a group of experts. Suggesting evaluation criteria to parents seem useful for an improvement of their ability to evaluate web sites.
Tueros, Itziar; Borja, Angel; Larreta, Joana; Rodríguez, J Germán; Valencia, Victoriano; Millán, Esmeralda
2009-09-01
The European Water Framework Directive (WFD) establishes a framework for the protection and improvement of estuarine (transitional) and coastal waters, attempting to achieve good water status by 2015; this includes, within the assessment, biological and chemical elements. The European Commission has proposed a list of priority dangerous substances (including metals such as Cd, Hg, Ni and Pb), with the corresponding list of environmental quality standards (EQS), to assess chemical status, but only for waters. In this contribution, a long-term (1995-2007) dataset of transitional and coastal water and sediment trace elements concentrations, from the Basque Country (northern Spain), has been used to investigate the response of these systems to water treatment programmes. Moreover, the approach proposed in the WFD, for assessing water chemical status (the 'one out, all out' approach), is compared with the integration of water and sediment data, into a unique assessment. For this exercise, background levels are used as reference conditions, identifying the boundary between high and good chemical status. EQS are used as the boundary between good and moderate chemical status. This contribution reveals that the first approach can lead to misclassification, with the second approach representing the pattern shown by the long-term data trends. Finally, the management implications, using each approach are discussed.
GRADE: Assessing the quality of evidence in environmental and occupational health.
Morgan, Rebecca L; Thayer, Kristina A; Bero, Lisa; Bruce, Nigel; Falck-Ytter, Yngve; Ghersi, Davina; Guyatt, Gordon; Hooijmans, Carlijn; Langendam, Miranda; Mandrioli, Daniele; Mustafa, Reem A; Rehfuess, Eva A; Rooney, Andrew A; Shea, Beverley; Silbergeld, Ellen K; Sutton, Patrice; Wolfe, Mary S; Woodruff, Tracey J; Verbeek, Jos H; Holloway, Alison C; Santesso, Nancy; Schünemann, Holger J
2016-01-01
There is high demand in environmental health for adoption of a structured process that evaluates and integrates evidence while making decisions and recommendations transparent. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework holds promise to address this demand. For over a decade, GRADE has been applied successfully to areas of clinical medicine, public health, and health policy, but experience with GRADE in environmental and occupational health is just beginning. Environmental and occupational health questions focus on understanding whether an exposure is a potential health hazard or risk, assessing the exposure to understand the extent and magnitude of risk, and exploring interventions to mitigate exposure or risk. Although GRADE offers many advantages, including its flexibility and methodological rigor, there are features of the different sources of evidence used in environmental and occupational health that will require further consideration to assess the need for method refinement. An issue that requires particular attention is the evaluation and integration of evidence from human, animal, in vitro, and in silico (computer modeling) studies when determining whether an environmental factor represents a potential health hazard or risk. Assessment of the hazard of exposures can produce analyses for use in the GRADE evidence-to-decision (EtD) framework to inform risk-management decisions about removing harmful exposures or mitigating risks. The EtD framework allows for grading the strength of the recommendations based on judgments of the certainty in the evidence (also known as quality of the evidence), as well as other factors that inform recommendations such as social values and preferences, resource implications, and benefits. GRADE represents an untapped opportunity for environmental and occupational health to make evidence-based recommendations in a systematic and transparent manner. The objectives of this article are to provide an overview of GRADE, discuss GRADE's applicability to environmental health, and identify priority areas for method assessment and development. Copyright © 2016 Elsevier Ltd. All rights reserved.
GRADE: Assessing the quality of evidence in environmental and occupational health
Morgan, Rebecca L; Thayer, Kristina A; Bero, Lisa; Bruce, Nigel; Falck-Ytter, Yngve; Ghersi, Davina; Guyatt, Gordon; Hooijmans, Carlijn; Langendam, Miranda; Mandrioli, Daniele; Mustafa, Reem A.; Rehfuess, Eva A; Rooney, Andrew A; Shea, Beverley; Silbergeld, Ellen K; Sutton, Patrice; Wolfe, Mary; Woodruff, Tracey J; Verbeek, Jos H; Holloway, Alison C.; Santesso, Nancy; Schünemann, Holger J
2016-01-01
There is high demand in environmental health for adoption of a structured process that evaluates and integrates evidence while making decisions and recommendations transparent. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework holds promise to address this demand. For over a decade, GRADE has been applied successfully to areas of clinical medicine, public health, and health policy, but experience with GRADE in environmental and occupational health is just beginning. Environmental and occupational health questions focus on understanding whether an exposure is a potential health hazard or risk, assessing the exposure to understand the extent and magnitude of risk, and exploring interventions to mitigate exposure or risk. Although GRADE offers many advantages, including its flexibility and methodological rigor, there are features of the different sources of evidence used in environmental and occupational health that will require further consideration to assess the need for method refinement. An issue that requires particular attention is the evaluation and integration of evidence from human, animal, in vitro, and in silico (computer modelling) studies when determining whether an environmental factor represents a potential health hazard or risk. Assessment of the hazard of exposures can produce analyses for use in the GRADE evidence-to-decision (EtD) framework to inform risk-management decisions about removing harmful exposures or mitigating risks. The EtD framework allows for grading the strength of the recommendations based on judgments of the certainty in the evidence (also known as quality of the evidence), as well as other factors that inform recommendations such as social values and preferences, resource implications, and benefits. GRADE represents an untapped opportunity for environmental and occupational health to make evidence-based recommendations in a systematic and transparent manner. The objectives of this article are to provide an overview of GRADE, discuss GRADE’s applicability to environmental health, and identify priority areas for method assessment and development. PMID:26827182
Quality Implementation in Transition: A Framework for Specialists and Administrators.
ERIC Educational Resources Information Center
Wald, Judy L.; Repetto, Jeanne B.
1995-01-01
Quality Implementation in Transition is a framework designed to guide transition specialists and administrators in the implementation of total quality management. The framework uses the tenets set forth by W. Edwards Deming and is intended to help professionals facilitate change within transition programs. (Author/JOW)
Sanaei Nezhad, Faezeh; Anton, Adriana; Michou, Emilia; Jung, JeYoung; Parkes, Laura M.
2017-01-01
γ‐Aminobutyric acid (GABA) and glutamate (Glu), major neurotransmitters in the brain, are recycled through glutamine (Gln). All three metabolites can be measured by magnetic resonance spectroscopy in vivo, although GABA measurement at 3 T requires an extra editing acquisition, such as Mescher–Garwood point‐resolved spectroscopy (MEGA‐PRESS). In a GABA‐edited MEGA‐PRESS spectrum, Glu and Gln co‐edit with GABA, providing the possibility to measure all three in one acquisition. In this study, we investigated the reliability of the composite Glu + Gln (Glx) peak estimation and the possibility of Glu and Gln separation in GABA‐edited MEGA‐PRESS spectra. The data acquired in vivo were used to develop a quality assessment framework which identified MEGA‐PRESS spectra in which Glu and Gln could be estimated reliably. Phantoms containing Glu, Gln, GABA and N‐acetylaspartate (NAA) at different concentrations were scanned using GABA‐edited MEGA‐PRESS at 3 T. Fifty‐six sets of spectra in five brain regions were acquired from 36 healthy volunteers. Based on the Glu/Gln ratio, data were classified as either within or outside the physiological range. A peak‐by‐peak quality assessment was performed on all data to investigate whether quality metrics can discriminate between these two classes of spectra. The quality metrics were as follows: the GABA signal‐to‐noise ratio, the NAA linewidth and the Glx Cramer–Rao lower bound (CRLB). The Glu and Gln concentrations were estimated with precision across all phantoms with a linear relationship between the measured and true concentrations: R 1 = 0.95 for Glu and R 1 = 0.91 for Gln. A quality assessment framework was set based on the criteria necessary for a good GABA‐edited MEGA‐PRESS spectrum. Simultaneous criteria of NAA linewidth <8 Hz and Glx CRLB <16% were defined as optimum features for reliable Glu and Gln quantification. Glu and Gln can be reliably quantified from GABA‐edited MEGA‐PRESS acquisitions. However, this reliability should be controlled using the quality assessment methods suggested in this work. PMID:29130590
ERIC Educational Resources Information Center
Rayner, Gerry; Papakonstantinou, Theo; Gleadow, Roslyn
2016-01-01
The internationalisation of higher education generates several issues related to quality, uniformity of subjects taught across campuses and the role of differences in English-speaking ability, which may affect student learning and skills development. This study used a self-assessment survey framework to investigate Australian (native English…
A vision detailing enhancements made to the Clean Water Act 303(d) Program informed by the experience gained over the past two decades in assessing and reporting on water quality and in developing approximately 65,000 TMDLs.
Teacher Licensing Examinations--True Progress or an Illusion?
ERIC Educational Resources Information Center
Libman, Zipora
2009-01-01
Over the past 10 years, public criticism of student achievement has been accompanied by a multitude of educational reforms, most of which emphasized the importance of setting national standards for student achievement and for the level and quality of teaching. The demand for frameworks to assess the extent to which students and teachers met the…
The Ethics of Research Excellence
ERIC Educational Resources Information Center
Conroy, James C.; Smith, Richard
2017-01-01
We here analyse the ethical dimensions of the UK's "Research Excellence Framework" (REF), the latest (2014) version of an exercise which assesses the quality of university research in the UK every seven or so years. We find many of the common objections to this exercise unfounded, such as that it is excessively expensive by comparison…
Correlates of Quality Sleep and Academic Performance
ERIC Educational Resources Information Center
Becker, Craig M.; Adams, Troy; Orr, Caroline; Quilter, Lyndsay
2008-01-01
Sleep problems have become epidemic and traditional research has discovered many causes of poor sleep. The purpose of this study was to complement existing research by using a salutogenic or health origins framework to investigate the correlates of good sleep. The analysis for this study used the National College Health Assessment data that…
ERIC Educational Resources Information Center
Jung, Sandy; Daniels, Melissa
2012-01-01
The authors examined the psychometric properties of a clinician-rated measure of sex offender denial. Convergent and discriminant validity for the measure was supported, and given its relationship to treatment attitudes, the measure demonstrated utility for assessing treatment change and readiness. (Contains 3 tables.)
Leong, James; McAuslane, Neil; Walker, Stuart; Salek, Sam
2013-09-01
To explore the current status and need for a universal benefit-risk framework for medicines in regulatory agencies and pharmaceutical companies. A questionnaire was developed and sent to 14 mature regulatory agencies and 24 major companies. The data were analysed using descriptive statistics, for a minority of questions preceded by manual grouping of the responses. Overall response rate was 82%, and study participants included key decision makers from agencies and companies. None used a fully quantitative system, most companies preferring a qualitative method. The major reasons for this group not using semi-quantitative or quantitative systems were lack of a universal and scientifically validated framework. The main advantages of a benefit-risk framework were that it provided a systematic standardised approach to decision-making and that it acted as a tool to enhance quality of communication. It was also reported that a framework should be of value to both agencies and companies throughout the life cycle of a product. They believed that it is possible to develop an overarching benefit-risk framework that should involve relevant stakeholders in the development, validation and application of a universal framework. The entire cohort indicated common barriers to implementing a framework were resource limitations, a lack of knowledge and a scientifically validated and acceptable framework. Stakeholders prefer a semi-quantitative, overarching framework that incorporates a toolbox of different methodologies. A coordinating committee of relevant stakeholders should be formed to guide its development and implementation. Through engaging the stakeholders, these outcomes confirm sentiments and need for developing a universal benefit-risk assessment framework. Copyright © 2013 John Wiley & Sons, Ltd.
Schönrock-Adema, Johanna; Visscher, Maartje; Raat, A. N. Janet; Brand, Paul L. P.
2015-01-01
Introduction Current instruments to evaluate the postgraduate medical educational environment lack theoretical frameworks and are relatively long, which may reduce response rates. We aimed to develop and validate a brief instrument that, based on a solid theoretical framework for educational environments, solicits resident feedback to screen the postgraduate medical educational environment quality. Methods Stepwise, we developed a screening instrument, using existing instruments to assess educational environment quality and adopting a theoretical framework that defines three educational environment domains: content, atmosphere and organization. First, items from relevant existing instruments were collected and, after deleting duplicates and items not specifically addressing educational environment, grouped into the three domains. In a Delphi procedure, the item list was reduced to a set of items considered most important and comprehensively covering the three domains. These items were triangulated against the results of semi-structured interviews with 26 residents from three teaching hospitals to achieve face validity. This draft version of the Scan of Postgraduate Educational Environment Domains (SPEED) was administered to residents in a general and university hospital and further reduced and validated based on the data collected. Results Two hundred twenty-three residents completed the 43-item draft SPEED. We used half of the dataset for item reduction, and the other half for validating the resulting SPEED (15 items, 5 per domain). Internal consistencies were high. Correlations between domain scores in the draft and brief versions of SPEED were high (>0.85) and highly significant (p<0.001). Domain score variance of the draft instrument was explained for ≥80% by the items representing the domains in the final SPEED. Conclusions The SPEED comprehensively covers the three educational environment domains defined in the theoretical framework. Because of its validity and brevity, the SPEED is promising as useful and easily applicable tool to regularly screen educational environment quality in postgraduate medical education. PMID:26413836
Water resources vulnerability assessment in the Adriatic Sea region: the case of Corfu Island.
Kanakoudis, Vasilis; Tsitsifli, Stavroula; Papadopoulou, Anastasia; Cencur Curk, Barbara; Karleusa, Barbara
2017-09-01
Cross-border water resources management and protection is a complicated task to achieve, lacking a common methodological framework. Especially in the Adriatic region, water used for drinking water supply purposes pass from many different countries, turning its management into a hard task to achieve. During the DRINKADRIA project, a common methodological framework has been developed, for efficient and effective cross-border water supply and resources management, taking into consideration different resources types (surface and groundwater) emphasizing in drinking water supply intake. The common methodology for water resources management is based on four pillars: climate characteristics and climate change, water resources availability, quality, and security. The present paper assesses both present and future vulnerability of water resources in the Adriatic region, with special focus on Corfu Island, Greece. The results showed that climate change is expected to impact negatively on water resources availability while at the same time, water demand is expected to increase. Water quality problems will be intensified especially due to land use changes and salt water intrusion. The analysis identified areas where water resources are more vulnerable, allowing decision makers develop management strategies.
Science Overview: The LTTG Technology Review Meeting March 2006 Summary Report
NASA Technical Reports Server (NTRS)
Bruning, Claus; Ko, Malcolm; Lee, David; Miake-Lye, Richard
2006-01-01
This report presents an overview of the latest scientific consensus understanding of the effect of aviation emissions on the atmosphere for both local air quality and climate change in order to provide a contextual framework for raising future questions to help assess the environmental benefits of technology goals. Although studies of the two issues share a common framework (of quantifying the emissions, the change in concentrations in the atmosphere, and the environmental impacts), the communities of practitioners are distinctly different. The scientific community will continue to provide guidelines on trade-off among different contributors to a specific environmental impact, such as global climate, or local air quality. Ultimately, monetization of the costs and benefits of mitigation actions is the proper tool for quantifying and analyzing trade-offs between the two issues. Scientific assessment of the impacts and their uncertainties are critical inputs to these analyses. Until environmental effects of aviation emerge as a policy driven issue, there is little incentive within the scientific community to focus on research efforts specific to trade-off studies between local and global impacts.
Street, Richard L
2017-11-01
To critically examine different approaches to the measurement of patient-centered communication. Provides a critique of 7 different measures of patient-centered communication with respect to differences in their assumptions about what constitutes patient-centeredness and in their approaches to measurement. The measures differed significantly with regard to whether the measure captured behavior (what the interactants did) or judgment (how well the behavior was performed), focused on the individual clinician or on the interaction as a whole, and on who makes the assessment (participant or observer). A multidimensional framework for developing patient-centered communication measures is presented that encompasses the patient's perspective and participation, the biopsychosocial context of the patient's health, the clinician-patient relationship, quality of information-exchange, shared understanding, and shared, evidence-based decision-making. The state of measurement of the patient-centered communication construct lacks coherence, in part because current measures were developed either void of a conceptual framework or from very different theoretical perspectives. Assessment of patients' experiences with quality of communication in medical encounters should drill down into specific domains of patient-centeredness. Copyright © 2017. Published by Elsevier B.V.
Guidelines for performing systematic reviews in the development of toxicity factors.
Schaefer, Heather R; Myers, Jessica L
2017-12-01
The Texas Commission on Environmental Quality (TCEQ) developed guidance on conducting systematic reviews during the development of chemical-specific toxicity factors. Using elements from publicly available frameworks, the TCEQ systematic review process was developed in order to supplement the existing TCEQ Guidelines for developing toxicity factors (TCEQ Regulatory Guidance 442). The TCEQ systematic review process includes six steps: 1) Problem Formulation; 2) Systematic Literature Review and Study Selection; 3) Data Extraction; 4) Study Quality and Risk of Bias Assessment; 5) Evidence Integration and Endpoint Determination; and 6) Confidence Rating. This document provides guidance on conducting a systematic literature review and integrating evidence from different data streams when developing chemical-specific reference values (ReVs) and unit risk factors (URFs). However, this process can also be modified or expanded to address other questions that would benefit from systematic review practices. The systematic review and evidence integration framework can improve regulatory decision-making processes, increase transparency, minimize bias, improve consistency between different risk assessments, and further improve confidence in toxicity factor development. Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.
Colonoscopy video quality assessment using hidden Markov random fields
NASA Astrophysics Data System (ADS)
Park, Sun Young; Sargent, Dusty; Spofford, Inbar; Vosburgh, Kirby
2011-03-01
With colonoscopy becoming a common procedure for individuals aged 50 or more who are at risk of developing colorectal cancer (CRC), colon video data is being accumulated at an ever increasing rate. However, the clinically valuable information contained in these videos is not being maximally exploited to improve patient care and accelerate the development of new screening methods. One of the well-known difficulties in colonoscopy video analysis is the abundance of frames with no diagnostic information. Approximately 40% - 50% of the frames in a colonoscopy video are contaminated by noise, acquisition errors, glare, blur, and uneven illumination. Therefore, filtering out low quality frames containing no diagnostic information can significantly improve the efficiency of colonoscopy video analysis. To address this challenge, we present a quality assessment algorithm to detect and remove low quality, uninformative frames. The goal of our algorithm is to discard low quality frames while retaining all diagnostically relevant information. Our algorithm is based on a hidden Markov model (HMM) in combination with two measures of data quality to filter out uninformative frames. Furthermore, we present a two-level framework based on an embedded hidden Markov model (EHHM) to incorporate the proposed quality assessment algorithm into a complete, automated diagnostic image analysis system for colonoscopy video.
Developing a national framework of quality indicators for public hospitals.
Simou, Effie; Pliatsika, Paraskevi; Koutsogeorgou, Eleni; Roumeliotou, Anastasia
2014-01-01
The current study describes the development of a preliminary set of quality indicators for public Greek National Health System (GNHS) hospitals, which were used in the "Health Monitoring Indicators System: Health Map" (Ygeionomikos Chartis) project, with the purpose that these quality indicators would assess the quality of all the aspects relevant to public hospital healthcare workforce and services provided. A literature review was conducted in the MEDLINE database to identify articles referring to international and national hospital quality assessment projects, together with an online search for relevant projects. Studies were included if they were published in English, from 1980 to 2010. A consensus panel took place afterwards with 40 experts in the field and tele-voting procedure. Twenty relevant projects and their 1698 indicators were selected through the literature search, and after the consensus panel process, a list of 67 indicators were selected to be implemented for the assessment of the public hospitals categorized under six distinct dimensions: Quality, Responsiveness, Efficiency, Utilization, Timeliness, and Resources and Capacity. Data gathered and analyzed in this manner provided a novel evaluation and monitoring system for Greece, which can assist decision-makers, healthcare professionals, and patients in Greece to retrieve relevant information, with the long-term goal to improve quality in care in the GNHS hospital sector. Copyright © 2014 John Wiley & Sons, Ltd.
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Backward Registration Based Aspect Ratio Similarity (ARS) for Image Retargeting Quality Assessment.
Zhang, Yabin; Fang, Yuming; Lin, Weisi; Zhang, Xinfeng; Li, Leida
2016-06-28
During the past few years, there have been various kinds of content-aware image retargeting operators proposed for image resizing. However, the lack of effective objective retargeting quality assessment metrics limits the further development of image retargeting techniques. Different from traditional Image Quality Assessment (IQA) metrics, the quality degradation during image retargeting is caused by artificial retargeting modifications, and the difficulty for Image Retargeting Quality Assessment (IRQA) lies in the alternation of the image resolution and content, which makes it impossible to directly evaluate the quality degradation like traditional IQA. In this paper, we interpret the image retargeting in a unified framework of resampling grid generation and forward resampling. We show that the geometric change estimation is an efficient way to clarify the relationship between the images. We formulate the geometric change estimation as a Backward Registration problem with Markov Random Field (MRF) and provide an effective solution. The geometric change aims to provide the evidence about how the original image is resized into the target image. Under the guidance of the geometric change, we develop a novel Aspect Ratio Similarity metric (ARS) to evaluate the visual quality of retargeted images by exploiting the local block changes with a visual importance pooling strategy. Experimental results on the publicly available MIT RetargetMe and CUHK datasets demonstrate that the proposed ARS can predict more accurate visual quality of retargeted images compared with state-of-the-art IRQA metrics.
Soil Productive Lifespans: Rethinking Soil Sustainability for the 21st Century
NASA Astrophysics Data System (ADS)
Evans, Daniel
2017-04-01
The ability for humans to sustainably manage the natural resources on which they depend has been one of the existential challenges facing mankind since the dawn of civilisation. Given the demands from this century's unprecedented global population and the unremitting course of climatic change, that challenge has soared in intensity. Sustainability, in this context, refers to agricultural practices which meet the needs of the present without compromising the ability of future generations to meet their own needs. Ensuring sustainability is arguably of greatest importance when resources, such as soil, are non-renewable. However, there is as yet no tool to evaluate how sustainable conservation strategies are in the long-term. Up to now, many pedologists have assessed sustainability in binary terms, questioning whether management is sustainable or not. In truth, one can never determine whether a practice is ultimately sustainable because of the indefinite nature implied by "future generations". We suggest that a more useful assessment of sustainability for the 21st century should avoid binary questions and instead ask: how sustainable are soils? Indeed, how many future generations can soils provide for? Although the use of modelling is by no means a novelty for the discipline, there are very few holistic models that encompass the fluxes and dynamic relationships between both mass and quality concomitantly. We therefore propose a new conceptual framework - the Soil Productive Lifespan (SPL) - that employs empirically derived residence times of both soil mass and quality, together with pathways of environmental change, to forecast the length of time a soil profile can provide the critical functions. Although mass and quality are considered synergistically, the SPL model allows one to assess whether mass or quality alone presents the greatest limiting factor in the productive lifespans of soils. As a result, more targeted conservation strategies can be designed. Ultimately, we argue that the SPL framework presents an exciting shift for evaluating sustainability. Interim performance indicators currently employed to measure sustainability are only able to assess whether soils still meet the needs of the present and thus only half of the sustainability agenda. We argue that the SPL framework has the ability not only to evaluate conservation based on current soil productivity but also to model the degrees to which soils can meet the needs of future generations.
French, Megan; Alem, Natalie; Edwards, Stephen J; Blanco Coariti, Efraín; Cauthin, Helga; Hudson-Edwards, Karen A; Luyckx, Karen; Quintanilla, Jorge; Sánchez Miranda, Oscar
2017-10-01
Assessing water sources for drinking and irrigation along with community vulnerability, especially in developing and rural regions, is important for reducing risk posed by poor water quality and limited water availability and accessibility. We present a case study of rural mining-agricultural communities in the Lake Poopó Basin, one of the poorest regions on the Bolivian Altiplano. Here, relatively low rainfall, high evaporation, salinization and unregulated mining activity have contributed to environmental degradation and water issues, which is a situation facing many Altiplano communities. Social data from 72 households and chemical water quality data from 27 surface water and groundwater sites obtained between August 2013 and July 2014 were used to develop locally relevant vulnerability assessment methodologies and ratings with respect to water availability and quality, and Chemical Water Quality Hazard Ratings to assess water quality status. Levels of natural and mining-related contamination in many waters (CWQHR ≥ 6; 78% of assessed sites) mean that effective remediation would be challenging and require substantial investment. Although waters of fair to good chemical quality (CWQHR ≤ 5; 22% of assessed sites) do exist, treatment may still be required depending on use, and access issues remain problematic. There is a need to comply with water quality legislation, improve and maintain basic water supply and storage infrastructure, build and operate water and wastewater treatment plants, and adequately and safely contain and treat mine waste. This study serves as a framework that could be used elsewhere for assessing and mitigating water contamination and availability affecting vulnerable populations.
NASA Astrophysics Data System (ADS)
French, Megan; Alem, Natalie; Edwards, Stephen J.; Blanco Coariti, Efraín; Cauthin, Helga; Hudson-Edwards, Karen A.; Luyckx, Karen; Quintanilla, Jorge; Sánchez Miranda, Oscar
2017-10-01
Assessing water sources for drinking and irrigation along with community vulnerability, especially in developing and rural regions, is important for reducing risk posed by poor water quality and limited water availability and accessibility. We present a case study of rural mining-agricultural communities in the Lake Poopó Basin, one of the poorest regions on the Bolivian Altiplano. Here, relatively low rainfall, high evaporation, salinization and unregulated mining activity have contributed to environmental degradation and water issues, which is a situation facing many Altiplano communities. Social data from 72 households and chemical water quality data from 27 surface water and groundwater sites obtained between August 2013 and July 2014 were used to develop locally relevant vulnerability assessment methodologies and ratings with respect to water availability and quality, and Chemical Water Quality Hazard Ratings to assess water quality status. Levels of natural and mining-related contamination in many waters (CWQHR ≥ 6; 78% of assessed sites) mean that effective remediation would be challenging and require substantial investment. Although waters of fair to good chemical quality (CWQHR ≤ 5; 22% of assessed sites) do exist, treatment may still be required depending on use, and access issues remain problematic. There is a need to comply with water quality legislation, improve and maintain basic water supply and storage infrastructure, build and operate water and wastewater treatment plants, and adequately and safely contain and treat mine waste. This study serves as a framework that could be used elsewhere for assessing and mitigating water contamination and availability affecting vulnerable populations.
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
DOE Office of Scientific and Technical Information (OSTI.GOV)
Mao, Yao-Yuan; Kovacs, Eve; Heitmann, Katrin
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fundamental physics in cosmological observables, understanding the effect of systematic uncertainties on measured signals and testing mitigation strategies for reducing these uncertainties, aiding analysis pipeline development and testing, and survey strategy optimization. The list of applications is growing with improvements in the quality of the catalogs and the details that they can provide. Given the importance of simulated catalogs, it is critical to provide rigorous validation protocols that enable both catalog providers and users tomore » assess the quality of the catalogs in a straightforward and comprehensive way. For this purpose, we have developed the DESCQA framework for the Large Synoptic Survey Telescope Dark Energy Science Collaboration as well as for the broader community. The goal of DESCQA is to enable the inspection, validation, and comparison of an inhomogeneous set of synthetic catalogs via the provision of a common interface within an automated framework. Here in this paper, we present the design concept and first implementation of DESCQA. In order to establish and demonstrate its full functionality we use a set of interim catalogs and validation tests. We highlight several important aspects, both technical and scientific, that require thoughtful consideration when designing a validation framework, including validation metrics and how these metrics impose requirements on the synthetic sky catalogs.« less
DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
Mao, Yao-Yuan; Kovacs, Eve; Heitmann, Katrin; ...
2018-02-08
The use of high-quality simulated sky catalogs is essential for the success of cosmological surveys. The catalogs have diverse applications, such as investigating signatures of fundamental physics in cosmological observables, understanding the effect of systematic uncertainties on measured signals and testing mitigation strategies for reducing these uncertainties, aiding analysis pipeline development and testing, and survey strategy optimization. The list of applications is growing with improvements in the quality of the catalogs and the details that they can provide. Given the importance of simulated catalogs, it is critical to provide rigorous validation protocols that enable both catalog providers and users tomore » assess the quality of the catalogs in a straightforward and comprehensive way. For this purpose, we have developed the DESCQA framework for the Large Synoptic Survey Telescope Dark Energy Science Collaboration as well as for the broader community. The goal of DESCQA is to enable the inspection, validation, and comparison of an inhomogeneous set of synthetic catalogs via the provision of a common interface within an automated framework. Here in this paper, we present the design concept and first implementation of DESCQA. In order to establish and demonstrate its full functionality we use a set of interim catalogs and validation tests. We highlight several important aspects, both technical and scientific, that require thoughtful consideration when designing a validation framework, including validation metrics and how these metrics impose requirements on the synthetic sky catalogs.« less
Crocco, Laura; Madill, Catherine J; McCabe, Patricia
2017-01-01
The study systematically reviews evidence-based frameworks for teaching and learning of classical singing training. This is a systematic review. A systematic literature search of 15 electronic databases following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines was conducted. Eligibility criteria included type of publication, participant characteristics, intervention, and report of outcomes. Quality rating scales were applied to support assessment of the included literature. Data analysis was conducted using meta-aggregation. Nine papers met the inclusion criteria. No complete evidence-based teaching and learning framework was found. Thematic content analysis showed that studies either (1) identified teaching practices in one-to-one lessons, (2) identified student learning strategies in one-to-one lessons or personal practice sessions, and (3) implemented a tool to enhance one specific area of teaching and learning in lessons. The included studies showed that research in music education is not always specific to musical genre or instrumental group, with four of the nine studies including participant teachers and students of classical voice training only. The overall methodological quality ratings were low. Research in classical singing training has not yet developed an evidence-based framework for classical singing training. This review has found that introductory information on teaching and learning practices has been provided, and tools have been suggested for use in the evaluation of the teaching-learning process. High-quality methodological research designs are needed. Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
Ali, Syed Mustafa; Anjum, Naveed; Kamel Boulos, Maged N; Ishaq, Muhammad; Aamir, Javariya; Haider, Ghulam Rasool
2018-01-16
Data quality is core theme of programme's performance assessment and many organizations do not have any data quality improvement strategy, wherein data quality dimensions and data quality assessment framework are important constituents. As there is limited published research about the data quality specifics that are relevant to the context of Pakistan's Tuberculosis control programme, this study aims at identifying the applicable data quality dimensions by using the 'fitness-for-purpose' perspective. Forty-two respondents pooled a total of 473 years of professional experience, out of which 223 years (47%) were in TB control related programmes. Based on the responses against 11 practical cases, adopted from the routine recording and reporting system of Pakistan's TB control programme (real identities of patient were masked), completeness, accuracy, consistency, vagueness, uniqueness and timeliness are the applicable data quality dimensions relevant to the programme's context, i.e. work settings and field of practice. Based on a 'fitness-for-purpose' approach to data quality, this study used a test-based approach to measure management's perspective and identified data quality dimensions pertinent to the programme and country specific requirements. Implementation of a data quality improvement strategy and achieving enhanced data quality would greatly help organizations in promoting data use for informed decision making.
Improving data quality in the linked open data: a survey
NASA Astrophysics Data System (ADS)
Hadhiatma, A.
2018-03-01
The Linked Open Data (LOD) is “web of data”, a different paradigm from “web of document” commonly used today. However, the huge LOD still suffers from data quality problems such as completeness, consistency, and accuracy. Data quality problems relate to designing effective methods both to manage and to retrieve information at various data quality levels. Based on review from papers and journals, addressing data quality requires some standards functioning to (1) identification of data quality problems, (2) assessment of data quality for a given context, and (3) correction of data quality problems. However, mostly the methods and strategies dealing with the LOD data quality were not as an integrative approach. Hence, based on those standards and an integrative approach, there are opportunities to improve the LOD data quality in the term of incompleteness, inaccuracy and inconsistency, considering to its schema and ontology, namely ontology refinement. Moreover, the term of the ontology refinement means that it copes not only to improve data quality but also to enrich the LOD. Therefore, it needs (1) a standard for data quality assessment and evaluation which is more appropriate to the LOD; (2) a framework of methods based on statistical relational learning that can improve the correction of data quality problems as well as enrich the LOD.
A review of approaches to quality assurance of veterinary systems for health-status certification.
Stärk, Katharina D C; Salman, Mo; Tempelman, Yuval; Kihm, Ulrich
2002-12-18
Regarding national and international trade of animals and animal products, certificates are required to document specific health levels. The credibility of such certificates depends on the quality of the data used to establish the status. Credibility also depends on the quality of the design and protocols used in the data-gathering process (i.e. on the quality of the surveillance-and-monitoring systems (SMS) and on the quality of the veterinary administrative systems (VAdminS)). The major requirements for the assessment of the SMS and VAdminS are: objectivity, accuracy, transparency, practicality, quantitative in nature. To assess the quality of SMS and VAdminS, systems analysis might provide a suitable framework. Systems analysis requires the identification and description of all components of the system-how they interact with each other and with other systems. Graphical methods (e.g. fault trees) are available to support this procedure. To assess the quality of SMS, scoring systems have been suggested. Their main weakness is the inherent subjectiveness. Alternatively, performance indicators (PI) could be used. For the assessment of VAdminS, questionnaires have been developed and applied. Their main limitations are that they focus on the input rather than on the output and that they are purely descriptive in nature. Thus, comparisons between countries are almost impossible. Semi-quantitative questionnaires using scores now are being developed and tested, although their limitations will be similar to those mentioned above. Another approach is the use of risk assessment including standardised data files assembled by countries volunteering to be assessed. This was applied successfully by the European Union (EU) in the geographic risk assessment for bovine spongiform encephalopathy (BSE). In general, the publication and documentation of veterinary systems needs to be encouraged to make them accessible to peer review.
NASA Astrophysics Data System (ADS)
El-Gafy, Mohamed Anwar
Transportation projects will have impact on the environment. The general environmental pollution and damage caused by roads is closely associated with the level of economic activity. Although Environmental Impact Assessments (EIAs) are dependent on geo-spatial information in order to make an assessment, there are no rules per se how to conduct an environmental assessment. Also, the particular objective of each assessment is dictated case-by-case, based on what information and analyses are required. The conventional way of Environmental Impact Assessment (EIA) study is a time consuming process because it has large number of dependent and independent variables which have to be taken into account, which also have different consequences. With the emergence of satellite remote sensing technology and Geographic Information Systems (GIS), this research presents a new framework for the analysis phase of the Environmental Impact Assessment (EIA) for transportation projects based on the integration between remote sensing technology, geographic information systems, and spatial modeling. By integrating the merits of the map overlay method and the matrix method, the framework analyzes comprehensively the environmental vulnerability around the road and its impact on the environment. This framework is expected to: (1) improve the quality of the decision making process, (2) be applied both to urban and inter-urban projects, regardless of transport mode, and (3) present the data and make the appropriate analysis to support the decision of the decision-makers and allow them to present these data to the public hearings in a simple manner. Case studies, transportation projects in the State of Florida, were analyzed to illustrate the use of the decision support framework and demonstrate its capabilities. This cohesive and integrated system will facilitate rational decisions through cost effective coordination of environmental information and data management that can be tailored to specific projects. The framework would facilitate collecting, organizing, analyzing, archiving, and coordinating the information and data necessary to support technical and policy transportation decisions.
Del Paggio, Joseph C; Sullivan, Richard; Schrag, Deborah; Hopman, Wilma M; Azariah, Biju; Pramesh, C S; Tannock, Ian F; Booth, Christopher M
2017-07-01
The American Society of Clinical Oncology (ASCO) and the European Society for Medical Oncology (ESMO) have developed frameworks that quantify survival gains in light of toxicity and quality of life to assess the benefits of cancer therapies. We applied these frameworks to a cohort of contemporary randomised controlled trials to explore agreement between the two approaches and to assess the relation between treatment benefit and cost. We identified all randomised controlled trials of systemic therapies in non-small-cell lung cancer, breast cancer, colorectal cancer, and pancreatic cancer published between Jan 1, 2011, and Dec 31, 2015, and assessed their abstracts and methods. Trials were eligible for inclusion in our cohort if significant differences favouring the experimental group in a prespecified primary or secondary outcome were reported (secondary outcomes were assessed only if primary outcomes were not significant). We assessed trial endpoints with the ASCO and ESMO frameworks at two timepoints 3 months apart to confirm intra-rater reliability. Cohen's κ statistic was calculated to establish agreement between the two frameworks on the basis of the median ASCO score, which was used as an arbitrary threshold of benefit, and the framework-recommended ESMO threshold. Differences in monthly drug cost between the experimental and control groups of each randomised controlled trial (ie, incremental drug cost) were derived from 2016 average wholesale prices. 109 randomised controlled trials were eligible for inclusion, 42 (39%) in non-small-cell lung cancer, 36 (33%) in breast cancer, 25 (23%) in colorectal cancer, and six (6%) in pancreatic cancer. ASCO scores ranged from 2 to 77; median score was 25 (IQR 16-35). 41 (38%) trials met the benefit thresholds in the ESMO framework. Agreement between the two frameworks was fair (κ=0·326). Among the 100 randomised controlled trials for which drug costing data were available, ASCO benefit score and monthly incremental drug costs were negatively correlated (ρ=-0·207; p=0·039). Treatments that met ESMO benefit thresholds had a lower median incremental drug cost than did those that did not meet benefit thresholds (US$2981 [IQR 320-9059] vs $8621 [1174-13 930]; p=0·018). There is only fair correlation between these two major value care frameworks, and negative correlations between framework outputs and drug costs. Delivery of optimal cancer care in a sustainable health system will necessitate future oncologists, investigators, and policy makers to reconcile the disconnect between drug cost and clinical benefit. None. Copyright © 2017 Elsevier Ltd. All rights reserved.
Service quality framework for clinical laboratories.
Ramessur, Vinaysing; Hurreeram, Dinesh Kumar; Maistry, Kaylasson
2015-01-01
The purpose of this paper is to illustrate a service quality framework that enhances service delivery in clinical laboratories by gauging medical practitioner satisfaction and by providing avenues for continuous improvement. The case study method has been used for conducting the exploratory study, with focus on the Mauritian public clinical laboratory. A structured questionnaire based on the SERVQUAL service quality model was used for data collection, analysis and for the development of the service quality framework. The study confirms the pertinence of the following service quality dimensions within the context of clinical laboratories: tangibility, reliability, responsiveness, turnaround time, technology, test reports, communication and laboratory staff attitude and behaviour. The service quality framework developed, termed LabSERV, is vital for clinical laboratories in the search for improving service delivery to medical practitioners. This is a pioneering work carried out in the clinical laboratory sector in Mauritius. Medical practitioner expectations and perceptions have been simultaneously considered to generate a novel service quality framework for clinical laboratories.
Personnic, Sébastien; Boudouresque, Charles F.; Astruch, Patrick; Ballesteros, Enric; Blouet, Sylvain; Bellan-Santini, Denise; Bonhomme, Patrick; Thibault-Botha, Delphine; Feunteun, Eric; Harmelin-Vivien, Mireille; Pergent, Gérard; Pergent-Martini, Christine; Pastor, Jérémy; Poggiale, Jean-Christophe; Renaud, Florent; Thibaut, Thierry; Ruitton, Sandrine
2014-01-01
Biotic indices, which reflect the quality of the environment, are widely used in the marine realm. Sometimes, key species or ecosystem engineers are selected for this purpose. This is the case of the Mediterranean seagrass Posidonia oceanica, widely used as a biological quality element in the context of the European Union Water Framework Directive (WFD). The good quality of a water body and the apparent health of a species, whether or not an ecosystem engineer such as P. oceanica, is not always indicative of the good structure and functioning of the whole ecosystem. A key point of the recent Marine Strategy Framework Directive (MSFD) is the ecosystem-based approach. Here, on the basis of a simplified conceptual model of the P. oceanica ecosystem, we have proposed an ecosystem-based index of the quality of its functioning, compliant with the MSFD requirements. This index (EBQI) is based upon a set of representative functional compartments, the weighting of these compartments and the assessment of the quality of each compartment by comparison of a supposed baseline. The index well discriminated 17 sites in the north-western Mediterranean (French Riviera, Provence, Corsica, Catalonia and Balearic Islands) covering a wide range of human pressure levels. The strong points of the EBQI are that it is easy to implement, non-destructive, relatively robust, according to the selection of the compartments and to their weighting, and associated with confidence indices that indicate possible weakness and biases and therefore the need for further field data acquisition. PMID:24933020
An approach for quantitative image quality analysis for CT
NASA Astrophysics Data System (ADS)
Rahimi, Amir; Cochran, Joe; Mooney, Doug; Regensburger, Joe
2016-03-01
An objective and standardized approach to assess image quality of Compute Tomography (CT) systems is required in a wide variety of imaging processes to identify CT systems appropriate for a given application. We present an overview of the framework we have developed to help standardize and to objectively assess CT image quality for different models of CT scanners used for security applications. Within this framework, we have developed methods to quantitatively measure metrics that should correlate with feature identification, detection accuracy and precision, and image registration capabilities of CT machines and to identify strengths and weaknesses in different CT imaging technologies in transportation security. To that end we have designed, developed and constructed phantoms that allow for systematic and repeatable measurements of roughly 88 image quality metrics, representing modulation transfer function, noise equivalent quanta, noise power spectra, slice sensitivity profiles, streak artifacts, CT number uniformity, CT number consistency, object length accuracy, CT number path length consistency, and object registration. Furthermore, we have developed a sophisticated MATLAB based image analysis tool kit to analyze CT generated images of phantoms and report these metrics in a format that is standardized across the considered models of CT scanners, allowing for comparative image quality analysis within a CT model or between different CT models. In addition, we have developed a modified sparse principal component analysis (SPCA) method to generate a modified set of PCA components as compared to the standard principal component analysis (PCA) with sparse loadings in conjunction with Hotelling T2 statistical analysis method to compare, qualify, and detect faults in the tested systems.
PRISM: Priority Symptom Management Project phase I: assessment.
Ropka, M E; Spencer-Cisek, P
2001-01-01
To provide an overview of the process, goals, and outcome recommendations from the assessment phase of the Oncology Nursing Society's Priority Symptom Management (PRISM) project and to provide the foundation for a series of evidence-based practice and qualitative systematic review articles generated from the first phase of PRISM. Published articles, abstracts, and books; computerized databases; nonpublished research; personal communications; and proceedings of the PRISM summit meeting. Symptom management is a key component in quality cancer care. The assessment phase of PRISM yielded systematic reviews with an evidence-based framework to evaluate key symptoms, developed a framework for teaching and evaluating other symptoms, and recommended future ONS initiatives. Outcome recommendations from the PRISM summit targeted practice; professional and public education; research; and health policy. These activities provide background for subsequent evidence-based practice and qualitative systematic review articles that will focus on cancer symptom management.
Psychometric Properties of Language Assessments for Children Aged 4–12 Years: A Systematic Review
Denman, Deborah; Speyer, Renée; Munro, Natalie; Pearce, Wendy M.; Chen, Yu-Wei; Cordier, Reinie
2017-01-01
Introduction: Standardized assessments are widely used by speech pathologists in clinical and research settings to evaluate the language abilities of school-aged children and inform decisions about diagnosis, eligibility for services and intervention. Given the significance of these decisions, it is important that assessments have sound psychometric properties. Objective: The aim of this systematic review was to examine the psychometric quality of currently available comprehensive language assessments for school-aged children and identify assessments with the best evidence for use. Methods: Using the PRISMA framework as a guideline, a search of five databases and a review of websites and textbooks was undertaken to identify language assessments and published material on the reliability and validity of these assessments. The methodological quality of selected studies was evaluated using the COSMIN taxonomy and checklist. Results: Fifteen assessments were evaluated. For most assessments evidence of hypothesis testing (convergent and discriminant validity) was identified; with a smaller number of assessments having some evidence of reliability and content validity. No assessments presented with evidence of structural validity, internal consistency or error measurement. Overall, all assessments were identified as having limitations with regards to evidence of psychometric quality. Conclusions: Further research is required to provide good evidence of psychometric quality for currently available language assessments. Of the assessments evaluated, the Assessment of Literacy and Language, the Clinical Evaluation of Language Fundamentals-5th Edition, the Clinical Evaluation of Language Fundamentals-Preschool: 2nd Edition and the Preschool Language Scales-5th Edition presented with most evidence and are thus recommended for use. PMID:28936189
Stoica, C; Camejo, J; Banciu, A; Nita-Lazar, M; Paun, I; Cristofor, S; Pacheco, O R; Guevara, M
2016-01-01
Environmental issues have a worldwide impact on water bodies, including the Danube Delta, the largest European wetland. The Water Framework Directive (2000/60/EC) implementation operates toward solving environmental issues from European and national level. As a consequence, the water quality and the biocenosis structure was altered, especially the composition of the macro invertebrate community which is closely related to habitat and substrate heterogeneity. This study aims to assess the ecological status of Southern Branch of the Danube Delta, Saint Gheorghe, using benthic fauna and a computational method as an alternative for monitoring the water quality in real time. The analysis of spatial and temporal variability of unicriterial and multicriterial indices were used to assess the current status of aquatic systems. In addition, chemical status was characterized. Coliform bacteria and several chemical parameters were used to feed machine-learning (ML) algorithms to simulate a real-time classification method. Overall, the assessment of the water bodies indicated a moderate ecological status based on the biological quality elements or a good ecological status based on chemical and ML algorithms criteria.
Introducing quality assurance and medical audit into the UCSF medical center curriculum.
Barbaccia, J C
1976-05-01
The experience gained by a medical school faculty in developing and piloting a course for undergraduate medical students in medical care evaluation led to a similar effort for house staff. It is recognized that if the profession is to fulfill the demand by society for social accountability in the use of resources for health care, medical care assessment and quality assurance mechanisms must become an intimate part of the clinical experience of medical students and house officers. Teaching these subjects requires a theoretical framework; introduction of content and skills appropriate to the level of the student and continuation of progressively more advanced training throughout medical education; use of assessment and quality assurance techniques by clinician-teachers themselves to provide models for the student; and continued evolution of pedagogic approach and course content based on developments in the area.
Xie, Bo; Su, Zhaohui; Zhang, Wenhui
2017-01-01
Background China has a large population with cardiovascular disease (CVD) that requires extensive self-management. Mobile health (mHealth) apps may be a useful tool for CVD self-management. Little is currently known about the types and quality of health information provided in Chinese CVD mobile apps and whether app functions are conducive to promoting CVD self-management. Objective We undertook a systematic review to evaluate the types and quality of health information provided in Chinese CVD mobile apps and interactive app functions for promoting CVD self-management. Methods Mobile apps targeting end users in China with CVD conditions were selected in February 2017 through a multi-stage process. Three frameworks were used to evaluate the selected apps: (1) types of health information offered were assessed using our Health Information Wants framework, which encompasses 7 types of information; (2) quality of information provided in the apps was assessed using the 11 guidelines recommended by the National Library of Medicine of the National Institutes of Health; and (3) types of interactive app functions for CVD self-management were assessed using a 15-item framework adapted from the literature, including our own prior work. Results Of 578 apps identified, 82 were eligible for final review. Among these, information about self-care (67/82, 82%) and information specifically regarding CVD (63/82, 77%) were the most common types of information provided, while information about health care providers (22/82, 27%) and laboratory tests (5/82, 6%) were least common. The most common indicators of information quality were the revealing of apps’ providers (82/82, 100%) and purpose (82/82, 100%), while the least common quality indicators were the revealing of how apps’ information was selected (1/82, 1%) and app sponsorship (0/82, 0%). The most common interactive functions for CVD self-management were those that enabled user interaction with the app provider (57/82, 70%) and with health care providers (36/82, 44%), while the least common interactive functions were those that enabled lifestyle management (13/82, 16%) and psychological health management (6/82, 7%). None of the apps covered all 7 types of health information, all 11 indicators of information quality, or all 15 interactive functions for CVD self-management. Conclusions Chinese CVD apps are insufficient in providing comprehensive health information, high-quality information, and interactive functions to facilitate CVD self-management. End users should exercise caution when using existing apps. Health care professionals and app developers should collaborate to better understand end users’ preferences and follow evidence-based guidelines to develop mHealth apps conducive to CVD self-management. PMID:29242176
Xie, Bo; Su, Zhaohui; Zhang, Wenhui; Cai, Run
2017-12-14
China has a large population with cardiovascular disease (CVD) that requires extensive self-management. Mobile health (mHealth) apps may be a useful tool for CVD self-management. Little is currently known about the types and quality of health information provided in Chinese CVD mobile apps and whether app functions are conducive to promoting CVD self-management. We undertook a systematic review to evaluate the types and quality of health information provided in Chinese CVD mobile apps and interactive app functions for promoting CVD self-management. Mobile apps targeting end users in China with CVD conditions were selected in February 2017 through a multi-stage process. Three frameworks were used to evaluate the selected apps: (1) types of health information offered were assessed using our Health Information Wants framework, which encompasses 7 types of information; (2) quality of information provided in the apps was assessed using the 11 guidelines recommended by the National Library of Medicine of the National Institutes of Health; and (3) types of interactive app functions for CVD self-management were assessed using a 15-item framework adapted from the literature, including our own prior work. Of 578 apps identified, 82 were eligible for final review. Among these, information about self-care (67/82, 82%) and information specifically regarding CVD (63/82, 77%) were the most common types of information provided, while information about health care providers (22/82, 27%) and laboratory tests (5/82, 6%) were least common. The most common indicators of information quality were the revealing of apps' providers (82/82, 100%) and purpose (82/82, 100%), while the least common quality indicators were the revealing of how apps' information was selected (1/82, 1%) and app sponsorship (0/82, 0%). The most common interactive functions for CVD self-management were those that enabled user interaction with the app provider (57/82, 70%) and with health care providers (36/82, 44%), while the least common interactive functions were those that enabled lifestyle management (13/82, 16%) and psychological health management (6/82, 7%). None of the apps covered all 7 types of health information, all 11 indicators of information quality, or all 15 interactive functions for CVD self-management. Chinese CVD apps are insufficient in providing comprehensive health information, high-quality information, and interactive functions to facilitate CVD self-management. End users should exercise caution when using existing apps. Health care professionals and app developers should collaborate to better understand end users' preferences and follow evidence-based guidelines to develop mHealth apps conducive to CVD self-management. ©Bo Xie, Zhaohui Su, Wenhui Zhang, Run Cai. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 14.12.2017.
Ge, Long; Tian, Jin-hui; Li, Xiu-xia; Song, Fujian; Li, Lun; Zhang, Jun; Li, Ge; Pei, Gai-qin; Qiu, Xia; Yang, Ke-hu
2016-01-01
Because of the methodological complexity of network meta-analyses (NMAs), NMAs may be more vulnerable to methodological risks than conventional pair-wise meta-analysis. Our study aims to investigate epidemiology characteristics, conduction of literature search, methodological quality and reporting of statistical analysis process in the field of cancer based on PRISMA extension statement and modified AMSTAR checklist. We identified and included 102 NMAs in the field of cancer. 61 NMAs were conducted using a Bayesian framework. Of them, more than half of NMAs did not report assessment of convergence (60.66%). Inconsistency was assessed in 27.87% of NMAs. Assessment of heterogeneity in traditional meta-analyses was more common (42.62%) than in NMAs (6.56%). Most of NMAs did not report assessment of similarity (86.89%) and did not used GRADE tool to assess quality of evidence (95.08%). 43 NMAs were adjusted indirect comparisons, the methods used were described in 53.49% NMAs. Only 4.65% NMAs described the details of handling of multi group trials and 6.98% described the methods of similarity assessment. The median total AMSTAR-score was 8.00 (IQR: 6.00–8.25). Methodological quality and reporting of statistical analysis did not substantially differ by selected general characteristics. Overall, the quality of NMAs in the field of cancer was generally acceptable. PMID:27848997
Scott, Anna Mae; Hofmann, Björn; Gutiérrez-Ibarluzea, Iñaki; Bakke Lysdahl, Kristin; Sandman, Lars; Bombard, Yvonne
2017-01-01
Introduction: Assessment of ethics issues is an important part of health technology assessments (HTA). However, in terms of existence of quality assessment tools, ethics for HTA is methodologically underdeveloped in comparison to other areas of HTA, such as clinical or cost effectiveness. Objective: To methodologically advance ethics for HTA by: (1) proposing and elaborating Q-SEA, the first instrument for quality assessment of ethics analyses, and (2) applying Q-SEA to a sample systematic review of ethics for HTA, in order to illustrate and facilitate its use. Methods: To develop a list of items for the Q-SEA instrument, we systematically reviewed the literature on methodology in ethics for HTA, reviewed HTA organizations’ websites, and solicited views from 32 experts in the field of ethics for HTA at two 2-day workshops. We subsequently refined Q-SEA through its application to an ethics analysis conducted for HTA. Results: Q-SEA instrument consists of two domains – the process domain and the output domain. The process domain consists of 5 elements: research question, literature search, inclusion/exclusion criteria, perspective, and ethics framework. The output domain consists of 5 elements: completeness, bias, implications, conceptual clarification, and conflicting values. Conclusion: Q-SEA is the first instrument for quality assessment of ethics analyses in HTA. Further refinements to the instrument to enhance its usability continue. PMID:28326147
Ghebremichael, Lula T; Veith, Tamie L; Hamlett, James M
2013-01-15
Quantitative risk assessments of pollution and data related to the effectiveness of mitigating best management practices (BMPs) are important aspects of nonpoint source pollution control efforts, particularly those driven by specific water quality objectives and by measurable improvement goals, such as the total maximum daily load (TMDL) requirements. Targeting critical source areas (CSAs) that generate disproportionately high pollutant loads within a watershed is a crucial step in successfully controlling nonpoint source pollution. The importance of watershed simulation models in assisting with the quantitative assessments of CSAs of pollution (relative to their magnitudes and extents) and of the effectiveness of associated BMPs has been well recognized. However, due to the distinct disconnect between the hydrological scale in which these models conduct their evaluation and the farm scale at which feasible BMPs are actually selected and implemented, and due to the difficulty and uncertainty involved in transferring watershed model data to farm fields, there are limited practical applications of these tools in the current nonpoint source pollution control efforts by conservation specialists for delineating CSAs and planning targeting measures. There are also limited approaches developed that can assess impacts of CSA-targeted BMPs on farm productivity and profitability together with the assessment of water quality improvements expected from applying these measures. This study developed a modeling framework that integrates farm economics and environmental aspects (such as identification and mitigation of CSAs) through joint use of watershed- and farm-scale models in a closed feedback loop. The integration of models in a closed feedback loop provides a way for environmental changes to be evaluated with regard to the impact on the practical aspects of farm management and economics, adjusted or reformulated as necessary, and revaluated with respect to effectiveness of environmental mitigation at the farm- and watershed-levels. This paper also outlines steps needed to extract important CSA-related information from a watershed model to help inform targeting decisions at the farm scale. The modeling framework is demonstrated with two unique case studies in the northeastern United States (New York and Vermont), with supporting data from numerous published, location-specific studies at both the watershed and farm scales. Using the integrated modeling framework, it can be possible to compare the costs (in terms of changes required in farm system components or financial compensations for retiring crop lands) and benefits (in terms of measurable water quality improvement goals) of implementing targeted BMPs. This multi-scale modeling approach can be used in the multi-objective task of mitigating CSAs of pollution to meet water quality goals while maintaining farm-level economic viability. Copyright © 2012 Elsevier Ltd. All rights reserved.
Quality Assurance and Qualifications Frameworks: Exchanging Good Practice. ENQA Workshop Report 21
ERIC Educational Resources Information Center
Blomqvist, Carita; Donohoe, Tony; Kelo, Maria; Linde, Karin Jarplid; Llavori, Rafael; Maguire, Bryan; Metz, David; Sanchez, Teresa
2012-01-01
The theme of qualifications frameworks and their relation to quality assurance is gaining urgency in the European scene as more and more countries are completing their national qualifications frameworks and quality assurance agencies need to take important decisions on how to implement them. Some of the key features of the qualifications…
Application-Driven No-Reference Quality Assessment for Dermoscopy Images With Multiple Distortions.
Xie, Fengying; Lu, Yanan; Bovik, Alan C; Jiang, Zhiguo; Meng, Rusong
2016-06-01
Dermoscopy images often suffer from blur and uneven illumination distortions that occur during acquisition, which can adversely influence consequent automatic image analysis results on potential lesion objects. The purpose of this paper is to deploy an algorithm that can automatically assess the quality of dermoscopy images. Such an algorithm could be used to direct image recapture or correction. We describe an application-driven no-reference image quality assessment (IQA) model for dermoscopy images affected by possibly multiple distortions. For this purpose, we created a multiple distortion dataset of dermoscopy images impaired by varying degrees of blur and uneven illumination. The basis of this model is two single distortion IQA metrics that are sensitive to blur and uneven illumination, respectively. The outputs of these two metrics are combined to predict the quality of multiply distorted dermoscopy images using a fuzzy neural network. Unlike traditional IQA algorithms, which use human subjective score as ground truth, here ground truth is driven by the application, and generated according to the degree of influence of the distortions on lesion analysis. The experimental results reveal that the proposed model delivers accurate and stable quality prediction results for dermoscopy images impaired by multiple distortions. The proposed model is effective for quality assessment of multiple distorted dermoscopy images. An application-driven concept for IQA is introduced, and at the same time, a solution framework for the IQA of multiple distortions is proposed.
Mumbo, Hazel M; Kinaro, Joyce W
2015-08-13
The World Health Organization lists Kenya among African countries experiencing health workforce crisis catalysed through immigration, underproduction, inconsistent quality of production and unequal distribution. Strengthening health training institutions to increase production of high-quality health workers is acknowledged as a measure to mitigate the crisis.IntraHealth International's USAID-funded FUNZOKenya Project (2012-2017) undertook an assessment to identify the bottlenecks to increasing the number and quality of pre-service graduates in Kenya. The assessment, a cross-sectional descriptive study, collected data through structured respondent interviews among faculty, students in health training institutions, key informants and desk review. The assessment purposively selected 14 institutions from 18 institutions identified for initial collaboration with the project towards strengthening health workforce training. The statistical package for social sciences (SPSS) application helped analyse quantitative data and quotes used to illustrate perceptions on the quality of curricula.The findings revealed major gaps in quality and adequacy of curricula in the training institutions. A national standard framework to guide curricula review process is lacking. Further, curricula did not adequately prepare students for clinical placement, as most failed to directly respond to national health needs. The study recommended reviews of curricula to ensure their responsiveness to emerging issues in the health sector, the formation of curriculum committees to review curricula, development of official curricula review standards and an integrated mechanism to disseminate policies and guidelines.
A framework for modeling contaminant impacts on reservoir water quality
NASA Astrophysics Data System (ADS)
Jeznach, Lillian C.; Jones, Christina; Matthews, Thomas; Tobiason, John E.; Ahlfeld, David P.
2016-06-01
This study presents a framework for using hydrodynamic and water quality models to understand the fate and transport of potential contaminants in a reservoir and to develop appropriate emergency response and remedial actions. In the event of an emergency situation, prior detailed modeling efforts and scenario evaluations allow for an understanding of contaminant plume behavior, including maximum concentrations that could occur at the drinking water intake and contaminant travel time to the intake. A case study assessment of the Wachusett Reservoir, a major drinking water supply for metropolitan Boston, MA, provides an example of an application of the framework and how hydrodynamic and water quality models can be used to quantitatively and scientifically guide management in response to varieties of contaminant scenarios. The model CE-QUAL-W2 was used to investigate the water quality impacts of several hypothetical contaminant scenarios, including hypothetical fecal coliform input from a sewage overflow as well as an accidental railway spill of ammonium nitrate. Scenarios investigated the impacts of decay rates, season, and inter-reservoir transfers on contaminant arrival times and concentrations at the drinking water intake. The modeling study highlights the importance of a rapid operational response by managers to contain a contaminant spill in order to minimize the mass of contaminant that enters the water column, based on modeled reservoir hydrodynamics. The development and use of hydrodynamic and water quality models for surface drinking water sources subject to the potential for contaminant entry can provide valuable guidance for making decisions about emergency response and remediation actions.
2013-01-01
Background Traditional Lot Quality Assurance Sampling (LQAS) designs assume observations are collected using simple random sampling. Alternatively, randomly sampling clusters of observations and then individuals within clusters reduces costs but decreases the precision of the classifications. In this paper, we develop a general framework for designing the cluster(C)-LQAS system and illustrate the method with the design of data quality assessments for the community health worker program in Rwanda. Results To determine sample size and decision rules for C-LQAS, we use the beta-binomial distribution to account for inflated risk of errors introduced by sampling clusters at the first stage. We present general theory and code for sample size calculations. The C-LQAS sample sizes provided in this paper constrain misclassification risks below user-specified limits. Multiple C-LQAS systems meet the specified risk requirements, but numerous considerations, including per-cluster versus per-individual sampling costs, help identify optimal systems for distinct applications. Conclusions We show the utility of C-LQAS for data quality assessments, but the method generalizes to numerous applications. This paper provides the necessary technical detail and supplemental code to support the design of C-LQAS for specific programs. PMID:24160725
Hedt-Gauthier, Bethany L; Mitsunaga, Tisha; Hund, Lauren; Olives, Casey; Pagano, Marcello
2013-10-26
Traditional Lot Quality Assurance Sampling (LQAS) designs assume observations are collected using simple random sampling. Alternatively, randomly sampling clusters of observations and then individuals within clusters reduces costs but decreases the precision of the classifications. In this paper, we develop a general framework for designing the cluster(C)-LQAS system and illustrate the method with the design of data quality assessments for the community health worker program in Rwanda. To determine sample size and decision rules for C-LQAS, we use the beta-binomial distribution to account for inflated risk of errors introduced by sampling clusters at the first stage. We present general theory and code for sample size calculations.The C-LQAS sample sizes provided in this paper constrain misclassification risks below user-specified limits. Multiple C-LQAS systems meet the specified risk requirements, but numerous considerations, including per-cluster versus per-individual sampling costs, help identify optimal systems for distinct applications. We show the utility of C-LQAS for data quality assessments, but the method generalizes to numerous applications. This paper provides the necessary technical detail and supplemental code to support the design of C-LQAS for specific programs.
Gardner, Karen; Davies, G Powell; Edwards, Karen; McDonald, Julie; Findlay, Terry; Kearns, Rachael; Joshi, Chandni; Harris, Mark
2016-01-01
The aim of this systematic review was to assess evidence of the impact of commissioning on health service use, quality, outcomes and value for money and to consider findings in the Australian context. Systematic searches of the literature identified 444 papers and, after exclusions, 36 were subject to full review. The commissioning cycle (planning, contracting, monitoring) formed a framework for analysis and impacts were assessed at individual, subpopulation and population levels. Little evidence of the effectiveness of commissioning at any level was available and observed impacts were highly context-dependent. There was insufficient evidence to identify a preferred model. Lack of skills and capacity were cited as major barriers to the implementation of commissioning. Successful commissioning requires a clear policy framework of national and regional priorities that define agreed targets for commissioning agencies. Engagement of consumers and providers, especially physicians, was considered to be critically important but is time consuming and has proven difficult to sustain. Adequate information on the cost, volume and quality of healthcare services is critically important for setting priorities, and for contracting and monitoring performance. Lack of information resulted in serious problems. High-quality nationally standardised performance measures and data requirements need to be built into contracts and ongoing monitoring and evaluation. In Australia, there is significant work to be done in areas of policy and governance, funding systems and incentives, patient enrolment or registration, information systems, individual and organisational capacity, community engagement and experience in commissioning.
Stojkov, Svetlana; Tadić, Ivana; Crnjanski, Tatjana; Krajnović, Dušanka
2016-09-01
Pharmacists' competence represents a dynamic framework of knowledge, skills and abilities to carry out tasks, and it reflects on improving the quality of life and on patients’ health. One of the documents for the Evaluation and Competency Development of Pharmacists is the Global Competency Framework (GbCF). The aim of this study was to implement the GBCF document into Serbian pharmacies, to perform assessment and self assessment of the competencies. The assessment and self-assessment of pharmacists’ competencies were performed during the period 2012−13 year in eight community pharmacy chains, in seven cities in Serbia. For assessment and self-assessment of pharmacists competencies the GbCF model was applied, which was adjusted to pharmaceutical practice and legislation in Serbia. External assessment was conducted by teams of pharmacists using the structured observation of the work of pharmacists during regular working hours. Evaluated pharmacists filled out the questionnaire about demographic indicators about the pharmacist and the pharmacy where they work. A total of 123 pharmacists were evaluated. Pharmacists’ Professional Competency Cluster (KK1) had the lowest score (average value 2.98), while the cluster Management and Organizational Competency (KK2) had the highest score (average value 3.15). The competence Recognition of the Diagnosis and Patient Counseling (K8), which belonged to the cluster KK1, had the lowest score (average value for assessment and self-assessment were 2.09, and 2.34, respectively) among the all evaluated competencies. GbCF might be considered as an instrument for the competencies' evaluation/selfevaluation and their improvement, accordingly.
Quality and methodological challenges in Internet-based mental health trials.
Ye, Xibiao; Bapuji, Sunita Bayyavarapu; Winters, Shannon; Metge, Colleen; Raynard, Mellissa
2014-08-01
To review the quality of Internet-based mental health intervention studies and their methodological challenges. We searched multiple literature databases to identify relevant studies according to the Population, Interventions, Comparators, Outcomes, and Study Design framework. Two reviewers independently assessed selection bias, allocation bias, confounding bias, blinding, data collection methods, and withdrawals/dropouts, using the Quality Assessment Tool for Quantitative Studies. We rated each component as strong, moderate, or weak and assigned a global rating (strong, moderate, or weak) to each study. We discussed methodological issues related to the study quality. Of 122 studies included, 31 (25%), 44 (36%), and 47 (39%) were rated strong, moderate, and weak, respectively. Only five studies were rated strong for all of the six quality components (three of them were published by the same group). Lack of blinding, selection bias, and low adherence were the top three challenges in Internet-based mental health intervention studies. The overall quality of Internet-based mental health intervention needs to improve. In particular, studies need to improve sample selection, intervention allocation, and blinding.
Predicting Player Position for Talent Identification in Association Football
NASA Astrophysics Data System (ADS)
Razali, Nazim; Mustapha, Aida; Yatim, Faiz Ahmad; Aziz, Ruhaya Ab
2017-08-01
This paper is set to introduce a new framework from the perspective of Computer Science for identifying talents in the sport of football based on the players’ individual qualities; physical, mental, and technical. The combination of qualities as assessed by coaches are then used to predict the players’ position in a match that suits the player the best in a particular team formation. Evaluation of the proposed framework is two-fold; quantitatively via classification experiments to predict player position, and qualitatively via a Talent Identification Site developed to achieve the same goal. Results from the classification experiments using Bayesian Networks, Decision Trees, and K-Nearest Neighbor have shown an average of 98% accuracy, which will promote consistency in decision-making though elimination of personal bias in team selection. The positive reviews on the Football Identification Site based on user acceptance evaluation also indicates that the framework is sufficient to serve as the basis of developing an intelligent team management system in different sports, whereby growth and performance of sport players can be monitored and identified.
An Integrated Framework for Multipollutant Air Quality Management and Its Application in Georgia
NASA Astrophysics Data System (ADS)
Cohan, Daniel S.; Boylan, James W.; Marmur, Amit; Khan, Maudood N.
2007-10-01
Air protection agencies in the United States increasingly confront non-attainment of air quality standards for multiple pollutants sharing interrelated emission origins. Traditional approaches to attainment planning face important limitations that are magnified in the multipollutant context. Recognizing those limitations, the Georgia Environmental Protection Division has adopted an integrated framework to address ozone, fine particulate matter, and regional haze in the state. Rather than applying atmospheric modeling merely as a final check of an overall strategy, photochemical sensitivity analysis is conducted upfront to compare the effectiveness of controlling various precursor emission species and source regions. Emerging software enables the modeling of health benefits and associated economic valuations resulting from air pollution control. Photochemical sensitivity and health benefits analyses, applied together with traditional cost and feasibility assessments, provide a more comprehensive characterization of the implications of various control options. The fuller characterization both informs the selection of control options and facilitates the communication of impacts to affected stakeholders and the public. Although the integrated framework represents a clear improvement over previous attainment-planning efforts, key remaining shortcomings are also discussed.
An integrated framework for multipollutant air quality management and its application in Georgia.
Cohan, Daniel S; Boylan, James W; Marmur, Amit; Khan, Maudood N
2007-10-01
Air protection agencies in the United States increasingly confront non-attainment of air quality standards for multiple pollutants sharing interrelated emission origins. Traditional approaches to attainment planning face important limitations that are magnified in the multipollutant context. Recognizing those limitations, the Georgia Environmental Protection Division has adopted an integrated framework to address ozone, fine particulate matter, and regional haze in the state. Rather than applying atmospheric modeling merely as a final check of an overall strategy, photochemical sensitivity analysis is conducted upfront to compare the effectiveness of controlling various precursor emission species and source regions. Emerging software enables the modeling of health benefits and associated economic valuations resulting from air pollution control. Photochemical sensitivity and health benefits analyses, applied together with traditional cost and feasibility assessments, provide a more comprehensive characterization of the implications of various control options. The fuller characterization both informs the selection of control options and facilitates the communication of impacts to affected stakeholders and the public. Although the integrated framework represents a clear improvement over previous attainment-planning efforts, key remaining shortcomings are also discussed.
Kagan, Jonathan; Giang, Dao Duc; Iademarco, Michael F; Phung, Van Tt; Lau, Chuen-Yen; Quang, Nguyen Ngo
2016-01-01
Although improving health systems promises important benefits, most developing nations lack the resources to support nationally driven clinical research. Strengthened clinical research capacity can advance national health goals by supporting greater autonomy in aligning research with national priorities. From March through June 2010, we assessed six elements of clinical research capacity in Vietnam: research agenda; clinical investigators and biostatisticians; donors and sponsors; community involvement; scientific, ethical, safety, and quality oversight; and clinical research institutions. Assessments were drawn from interviews with investigators, Ministry of Health staff members, nongovernment organizations, and U.S. Mission staff members, and document review. Observations and recommendations were shared with collaborators. Reassessment in 2015 found growth in the number of clinical trials, improved regulation in human subjects protection and community engagement, and modest advances in research agenda setting. Training and investment in institutions remain challenging. A framework for assessing clinical research capacity can affirm strengths and weaknesses and guide the coordination of capacity-building efforts.
Development and delivery of clinical pharmacology in regulatory agencies
Breckenridge, Alasdair
2012-01-01
Medicines regulation is based on a foundation of science, policy and judgement. It operates within several frameworks (scientific, legal and public health), which are interdependent. While safety, quality and efficacy remain the criteria by which medicines are assessed, the benefit-to-harm balance for any medicine or medical device is of paramount importance. While the regulator was hitherto the gatekeeper who allowed a medicine on to the market, payers now require, in addition, assessment of cost and clinical effectiveness before use. As regulatory frameworks develop, several changes will occur, as follows: (i) formal benefit–harm assessment will become an integral part of submission for marketing authorizations; (ii) there will be greater use of surveillance for adverse reactions to new medicines using methods other than voluntary reporting; (iii) risk management plans will become benefit–risk management plans; (iv) life-saving medicines will be approved earlier; and (v) regulation and health technology assessment will take place simultaneously. Clinical pharmacologists will play important roles in these developments. PMID:22360651
A new framework for sustainable hydropower development project
NASA Astrophysics Data System (ADS)
Johan, Kartina; Turan, Faiz Mohd; Gani, Nur Syazwani Abdul
2018-03-01
This project studies on the establishment of a new framework for sustainable hydropower development. A hydropower development is listed as one of the prescribed activities under the Environmental Quality Order 1987. Thus, Environmental Impact Assessment (EIA) guidelines must be referred to comply with the Department of Environment (DoE) requirements. In order to execute EIA, an assessment tool that will be utilized in the final evaluation phase must be determined. The selected assessment tool that will be used is Systematic Sustainability Assessment(SSA) which is a new integrated tool to evaluate the sustainability performance. A pilot run is conducted in five different departments within the Energy Company to validate the efficiency of the SSA tool. The parameters to be evaluated are constructed aligned with the Sustainable Development Goals (SDG) to maintain the sustainability features. Consequently, the performance level of the sustainability with respect to People, Planet and Profit (3P’s) is able to be discovered during evaluation phase in the hydropower development for continuous improvement.
PUBLIC AND PATIENT INVOLVEMENT IN HEALTH TECHNOLOGY ASSESSMENT: A FRAMEWORK FOR ACTION.
Abelson, Julia; Wagner, Frank; DeJean, Deirdre; Boesveld, Sarah; Gauvin, Franςois-Pierre; Bean, Sally; Axler, Renata; Petersen, Stephen; Baidoobonso, Shamara; Pron, Gaylene; Giacomini, Mita; Lavis, John
2016-01-01
As health technology assessment (HTA) organizations in Canada and around the world seek to involve the public and patients in their activities, frameworks to guide decisions about whom to involve, through which mechanisms, and at what stages of the HTA process have been lacking. The aim of this study was to describe the development and outputs of a comprehensive framework for involving the public and patients in a government agency's HTA process. The framework was informed by a synthesis of international practice and published literature, a dialogue with local, national and international stakeholders, and the deliberations of a government agency's public engagement subcommittee in Ontario, Canada. The practice and literature synthesis failed to identify a single, optimal approach to involving the public and patients in HTA. Choice of methods should be considered in the context of each HTA stage, goals for incorporating societal and/or patient perspectives into the process, and relevant societal and/or patient values at stake. The resulting framework is structured around four actionable elements: (i) guiding principles and goals for public and patient involvement (PPI) in HTA, (ii) the establishment of a common language to support PPI efforts, (iii) a flexible array of PPI approaches, and (iv) on-going evaluation of PPI to inform adjustments over time. A public and patient involvement framework has been developed for implementation in a government agency's HTA process. Core elements of this framework may apply to other organizations responsible for HTA and health system quality improvement.
The importance of data collection for timely and accurate risk assessment
NASA Astrophysics Data System (ADS)
Gilsenan, MB
2017-09-01
The European Food Safety Authority (EFSA) is responsible for food safety risk assessments at EU level. It provides independent scientific advice on risks associated with the food chain to support EU risk management decisions. Since its establishment, EFSA has amassed a wealth of data to underpin its risk assessments, such as food consumption data, monitoring data and experimental data. Increasing transparency of its risk assessments is a core objective of EFSA. EFSA aims to enhance the quality and transparency of its outputs by giving insofar as possible access to data and methods underpinning its scientific outputs. This paper provides an overview of the role of EFSA, its core data collections and their regulatory framework, as well as data quality and standardisation aspects. Finally, the paper elaborates on EFSA’s 2020 strategy in relation to data, and describes EFSA scientific data warehouse and Knowledge Junction in this regard.
Chaudhry, Rabia M; Hamilton, Kerry A; Haas, Charles N; Nelson, Kara L
2017-06-13
Although reclaimed water for potable applications has many potential benefits, it poses concerns for chemical and microbial risks to consumers. We present a quantitative microbial risk assessment (QMRA) Monte Carlo framework to compare a de facto water reuse scenario (treated wastewater-impacted surface water) with four hypothetical Direct Potable Reuse (DPR) scenarios for Norovirus, Cryptosporidium , and Salmonella . Consumer microbial risks of surface source water quality (impacted by 0-100% treated wastewater effluent) were assessed. Additionally, we assessed risks for different blending ratios (0-100% surface water blended into advanced-treated DPR water) when source surface water consisted of 50% wastewater effluent. De facto reuse risks exceeded the yearly 10 -4 infections risk benchmark while all modeled DPR risks were significantly lower. Contamination with 1% or more wastewater effluent in the source water, and blending 1% or more wastewater-impacted surface water into the advanced-treated DPR water drove the risk closer to the 10 -4 benchmark. We demonstrate that de facto reuse by itself, or as an input into DPR, drives microbial risks more so than the advanced-treated DPR water. When applied using location-specific inputs, this framework can contribute to project design and public awareness campaigns to build legitimacy for DPR.
Educating and Training the Future Adolescent Health Workforce.
Kokotailo, Patricia K; Baltag, Valentina; Sawyer, Susan M
2018-05-01
Unprecedented attention is now focused on adolescents with growing appreciation of their disease burden and of the opportunities of investing in adolescent health. New investments are required to build the technical capacity for policy, programming, research, and clinical care across the world, especially in resource-poor settings where most adolescents live. Strategies to educate and train the future workforce are needed. Competency-based education and training is the standard of education in preservice (undergraduate and postgraduate) health education and medical specialty training. Yet competency is difficult to quantify and standardize, as are the processes that underpin competency-based education and training. The primary objective of this review was to identify how quality education in adolescent health and medicine is determined. This information was used to inform the development of a conceptual framework for institutions teaching adolescent health, which can be used to assess the quality of teaching and learning and to monitor the implementation of these adolescent health competencies. Specific teaching modalities and assessment tools that have been used to teach adolescent health are described to exemplify how an educational program can be delivered and assessed. This framework is a step toward the development of a more adolescent-competent health workforce. Copyright © 2017 The Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
Chaudhry, Rabia M.; Hamilton, Kerry A.; Haas, Charles N.; Nelson, Kara L.
2017-01-01
Although reclaimed water for potable applications has many potential benefits, it poses concerns for chemical and microbial risks to consumers. We present a quantitative microbial risk assessment (QMRA) Monte Carlo framework to compare a de facto water reuse scenario (treated wastewater-impacted surface water) with four hypothetical Direct Potable Reuse (DPR) scenarios for Norovirus, Cryptosporidium, and Salmonella. Consumer microbial risks of surface source water quality (impacted by 0–100% treated wastewater effluent) were assessed. Additionally, we assessed risks for different blending ratios (0–100% surface water blended into advanced-treated DPR water) when source surface water consisted of 50% wastewater effluent. De facto reuse risks exceeded the yearly 10−4 infections risk benchmark while all modeled DPR risks were significantly lower. Contamination with 1% or more wastewater effluent in the source water, and blending 1% or more wastewater-impacted surface water into the advanced-treated DPR water drove the risk closer to the 10−4 benchmark. We demonstrate that de facto reuse by itself, or as an input into DPR, drives microbial risks more so than the advanced-treated DPR water. When applied using location-specific inputs, this framework can contribute to project design and public awareness campaigns to build legitimacy for DPR. PMID:28608808
NASA Astrophysics Data System (ADS)
Leuchter, S.; Reinert, F.; Müller, W.
2014-06-01
Procurement and design of system architectures capable of network centric operations demand for an assessment scheme in order to compare different alternative realizations. In this contribution an assessment method for system architectures targeted at the C4ISR domain is presented. The method addresses the integration capability of software systems from a complex and distributed software system perspective focusing communication, interfaces and software. The aim is to evaluate the capability to integrate a system or its functions within a system-of-systems network. This method uses approaches from software architecture quality assessment and applies them on the system architecture level. It features a specific goal tree of several dimensions that are relevant for enterprise integration. These dimensions have to be weighed against each other and totalized using methods from the normative decision theory in order to reflect the intention of the particular enterprise integration effort. The indicators and measurements for many of the considered quality features rely on a model based view on systems, networks, and the enterprise. That means it is applicable to System-of-System specifications based on enterprise architectural frameworks relying on defined meta-models or domain ontologies for defining views and viewpoints. In the defense context we use the NATO Architecture Framework (NAF) to ground respective system models. The proposed assessment method allows evaluating and comparing competing system designs regarding their future integration potential. It is a contribution to the system-of-systems engineering methodology.
NASA Astrophysics Data System (ADS)
Pavlidou, Alexandra; Simboura, Nomiki; Rousselaki, Eleni; Tsapakis, Manolis; Pagou, Kalliopi; Drakopoulou, Paraskevi; Assimakopoulou, Georgia; Kontoyiannis, Harilaos; Panayotidis, Panayotis
2015-10-01
A set of methodological tools were tested in order to assess the eutrophication quality of selected coastal areas in Eastern Mediterranean Sea, Greece, in the context of the Water Framework Directive under various anthropogenic pressures. Three, five-step tools, namely, TRIX, chlorophyll-a (chl-a) biomass classification scheme, and eutrophication index (E.I.) were applied in oligotrophic waters for (a) the whole water column and (b) the euphotic zone. The relationship among the eutrophication assessment indices and the ecological quality status (EcoQ) assessment indices for benthic macroinvertebrates (BENTIX index) and macroalgae (ecological evaluation index-EEIc) was also explored. Agricultural activities and mariculture are the pressures mostly related to the eutrophication assessment of the selected Greek coastal water bodies. Chl-a proved to be the criterion with the best overall correlation with the EcoQ indices, while TRIX with the lowest. Moreover, among the eutrophication indices, E.I. showed better overall agreement with BENTIX showing that probably it reflects the indirect relation of macroinvertebrates with water eutrophication in a better way. Among the eutrophication indices used, TRIX rather overestimated the eutrophication status of the selected coastal areas. The first stage of eutrophication was reflected more efficiently using E.I. than TRIX, but E.I. seems to be a rather sensitive index. A future modification of the high to good boundary of E.I. may be needed in order to demonstrate the high status of the relatively undisturbed Greek coastal sites.
Huang, Jidong; Emery, Sherry
2016-01-01
Background Social media have transformed the communications landscape. People increasingly obtain news and health information online and via social media. Social media platforms also serve as novel sources of rich observational data for health research (including infodemiology, infoveillance, and digital disease detection detection). While the number of studies using social data is growing rapidly, very few of these studies transparently outline their methods for collecting, filtering, and reporting those data. Keywords and search filters applied to social data form the lens through which researchers may observe what and how people communicate about a given topic. Without a properly focused lens, research conclusions may be biased or misleading. Standards of reporting data sources and quality are needed so that data scientists and consumers of social media research can evaluate and compare methods and findings across studies. Objective We aimed to develop and apply a framework of social media data collection and quality assessment and to propose a reporting standard, which researchers and reviewers may use to evaluate and compare the quality of social data across studies. Methods We propose a conceptual framework consisting of three major steps in collecting social media data: develop, apply, and validate search filters. This framework is based on two criteria: retrieval precision (how much of retrieved data is relevant) and retrieval recall (how much of the relevant data is retrieved). We then discuss two conditions that estimation of retrieval precision and recall rely on—accurate human coding and full data collection—and how to calculate these statistics in cases that deviate from the two ideal conditions. We then apply the framework on a real-world example using approximately 4 million tobacco-related tweets collected from the Twitter firehose. Results We developed and applied a search filter to retrieve e-cigarette–related tweets from the archive based on three keyword categories: devices, brands, and behavior. The search filter retrieved 82,205 e-cigarette–related tweets from the archive and was validated. Retrieval precision was calculated above 95% in all cases. Retrieval recall was 86% assuming ideal conditions (no human coding errors and full data collection), 75% when unretrieved messages could not be archived, 86% assuming no false negative errors by coders, and 93% allowing both false negative and false positive errors by human coders. Conclusions This paper sets forth a conceptual framework for the filtering and quality evaluation of social data that addresses several common challenges and moves toward establishing a standard of reporting social data. Researchers should clearly delineate data sources, how data were accessed and collected, and the search filter building process and how retrieval precision and recall were calculated. The proposed framework can be adapted to other public social media platforms. PMID:26920122
A Surrogate Approach to the Experimental Optimization of Multielement Airfoils
NASA Technical Reports Server (NTRS)
Otto, John C.; Landman, Drew; Patera, Anthony T.
1996-01-01
The incorporation of experimental test data into the optimization process is accomplished through the use of Bayesian-validated surrogates. In the surrogate approach, a surrogate for the experiment (e.g., a response surface) serves in the optimization process. The validation step of the framework provides a qualitative assessment of the surrogate quality, and bounds the surrogate-for-experiment error on designs "near" surrogate-predicted optimal designs. The utility of the framework is demonstrated through its application to the experimental selection of the trailing edge ap position to achieve a design lift coefficient for a three-element airfoil.
The use of biotopes in assessing the environmental quality of tidal estuaries in Europe
NASA Astrophysics Data System (ADS)
Ducrotoy, Jean-Paul
2010-02-01
In Europe, the Water Framework Directive (WFD) (European Commission 2000) - and the recently proposed EU Marine Strategy Directive - have established a framework for the protection of groundwater, inland surface waters, estuarine (transitional) waters and coastal waters. TheWFD has several objectives: to prevent water ecosystem deterioration, to protect and to enhance the status of water resources but the most important aspect is to achieve a 'Good Ecological Status' (GES) for all waters, by 2015. In essence, the WFD requires a water body to be compared against a reference condition and then its ecological status designated - if the water body does not meet good or high ecological status, i.e. it is in moderate, poor or bad ecological status, then remedial measures have to be taken (e.g. pollution has to be removed). Many indices were developed from benthic work and are often thought fit for purpose. Based on the successional model proposed by Pearson and Rosenberg (1978), most of these indices were effectively established for soft sediment benthos. However, those developed in the framework of the WFD were derived from work on the subtidal. They are difficult to use in the intertidal and in transitional waters. As they were derived from work on organic pollution, there is no or little evident link with chemical and physical pollution. Ecomorphology brings together a biological approach and a sedimentological approach to estuarine ecology. It considers the use of the biotope and related concepts (biocenosis, bio-facies, ecotone, habitat…) as a basis to a novel approach to environmental quality assessment. It addresses the problem of the estuarine quality paradox in recognising the role of nutrients and organic matter in biogeochemical cycles. The discussion shows the complementarity of biotopes with the Sato-Umi and the ecohydrolgy approaches.
Taylor, Michael J; McNicholas, Chris; Nicolay, Chris; Darzi, Ara; Bell, Derek; Reed, Julie E
2014-01-01
Background Plan–do–study–act (PDSA) cycles provide a structure for iterative testing of changes to improve quality of systems. The method is widely accepted in healthcare improvement; however there is little overarching evaluation of how the method is applied. This paper proposes a theoretical framework for assessing the quality of application of PDSA cycles and explores the consistency with which the method has been applied in peer-reviewed literature against this framework. Methods NHS Evidence and Cochrane databases were searched by three independent reviewers. Empirical studies were included that reported application of the PDSA method in healthcare. Application of PDSA cycles was assessed against key features of the method, including documentation characteristics, use of iterative cycles, prediction-based testing of change, initial small-scale testing and use of data over time. Results 73 of 409 individual articles identified met the inclusion criteria. Of the 73 articles, 47 documented PDSA cycles in sufficient detail for full analysis against the whole framework. Many of these studies reported application of the PDSA method that failed to accord with primary features of the method. Less than 20% (14/73) fully documented the application of a sequence of iterative cycles. Furthermore, a lack of adherence to the notion of small-scale change is apparent and only 15% (7/47) reported the use of quantitative data at monthly or more frequent data intervals to inform progression of cycles. Discussion To progress the development of the science of improvement, a greater understanding of the use of improvement methods, including PDSA, is essential to draw reliable conclusions about their effectiveness. This would be supported by the development of systematic and rigorous standards for the application and reporting of PDSAs. PMID:24025320
Moloczij, Natasha; Gough, Karla; Solomon, Benjamin; Ball, David; Mileshkin, Linda; Duffy, Mary; Krishnasamy, Mei
2018-01-11
Patient-reported outcome (PRO) data is central to the delivery of quality health care. Establishing sustainable, reliable and cost-efficient methods for routine collection and integration of PRO data into health information systems is challenging. This protocol paper describes the design and structure of a study to develop and pilot test a PRO framework to systematically and longitudinally collect PRO data from a cohort of lung cancer patients at a comprehensive cancer centre in Australia. Best-practice guidelines for developing registries aimed at collecting PROs informed the development of this PRO framework. Framework components included: achieving consensus on determining the purpose of the framework, the PRO measures to be included, the data collection time points and collection methods (electronic and paper), establishing processes to safeguard the quality of the data collected and to link the PRO framework to an existing hospital-based lung cancer clinical registry. Lung cancer patients will be invited to give feedback on the PRO measures (PROMs) chosen and the data collection time points and methods. Implementation of the framework will be piloted for 12 months. Then a mixed-methods approach used to explore patient and multidisciplinary perspectives on the feasibility of implementing the framework and linking it to the lung cancer clinical registry, its clinical utility, perceptions of data collection burden, and preliminary assessment of resource costs to integrate, implement and sustain the PRO framework. The PRO data set will include: a quality of life questionnaire (EORTC-QLQ-C30) and the EORTC lung cancer specific module (QLQC-LC-13). These will be collected pre-treatment (baseline), 2, 6 and 12 months post-baseline. Also, four social isolation questions (PROMIS) will be collected at baseline. Identifying and deciding on the overall purpose, clinical utility of data and which PROs to collect from patients requires careful consideration. Our study will explore how PRO data collection processes that link to a clinical data set can be developed and integrated; how PRO systems that are easy for patients to complete and professionals to use in practice can be achieved, and will provide indicative costs of developing and integrating a longitudinal PRO framework into routine hospital data collection systems. This study is not a clinical trial and is therefore not registered in any trial registry. However, it has received human research ethics approval (LNR/16/PMCC/45).
Quality of life in long-term survivors of intensive care.
Buckley, T A; Cheng, A Y; Gomersall, C D
2001-05-01
Traditionally, outcome from intensive care has focused on mortality. The cost of intensive care and the limited resources devoted to patients who have a poor prognosis also raises questions about the utilisation of such resources. There is increasing pressure for outcome evaluation of intensive care to incorporate assessment of long-term survival and the quality of life in survivors. The principal objectives of this article were to examine current methods of assessing quality of life measures in critically ill patients surviving intensive care and to determine the quality of life of these survivors. Direct and computerised search of published research articles. Measurement of quality of life after intensive care is not common practice. There is a lack of consensus concerning appropriate measuring instruments to be used and how best to interpret results. Despite the availability of general outcome tools and disease specific instruments, there is a paucity of studies in the literature which include assessments of quality of life following intensive care unit (ICU) care. Generic health indices suggest that the quality of life in ICU survivors is acceptable though in certain sub-groups, e.g. adult respiratory distress syndrome and sepsis, quality of life may be moderately impaired. ICU survivors appear to suffer less disability than chronic physical disease patients. Assessment of outcome after intensive care should include health related quality of life measurements. A unifying framework is required to enhance communication between clinicians, administrators and investigators of quality of life research and also to enable more rational and effective decision making at the bedside. Patients who survive intensive care appear to enjoy a reasonable standard of quality of life. While their health status may not be as good, subjectively patients find this acceptable.
Förstner, Ulrich; Hollert, Henner; Brinkmann, Markus; Eichbaum, Kathrin; Weber, Roland; Salomons, Wim
2016-01-01
A critical review of the last 25 years of dioxin policy in the Elbe river catchment is presented along seven main theses of the River Basin Community (RBC)-Elbe background document "Pollutants" for the Management Plan 2016-2021. In this period, polychlorinated dibenzodioxins/-furans (PCDD/Fs) and dioxin-like polychlorinated biphenyls (dl-PCBs) will play a major role: (i) as new priority substances for which environmental quality standards (EQSs) need to be derived (Directive 2013/39/EC); (ii) in the search for innovative solutions in sediment remediation (i.e., respecting the influence of mechanical processes; Flood Risk Directive 2007/60/EC); and (iii) as indicators at the land-sea interface (Marine Strategy Framework Directive 2008/56/EC). In the Elbe river catchment, aspects of policy and science are closely connected, which became particularly obvious in a classic example of dioxin hot spot contamination, the case of the Spittelwasser creek. Here, the "source-first principle" of the first cycle of the European Water Framework Directive (WFD) had to be confirmed in a controversy on the dioxin hot spots with Saxony-Anhalt's Agency for Contaminated Sites (LAF). At the Spittelwasser site, the move from "inside the creek" to "along the river banks" goes parallel to a general paradigm shift in retrospective risk assessment frameworks and remediation techniques for organic chemicals (Ortega-Calvo et al. 2015). With respect to dioxin, large-scale stabilization applying activated carbon additions is particularly promising. Another important aspect is the assessment of the ecotoxicology of dioxins and dl- PCBs in context of sediment mobility and flood risk assessment, which has been studied in the project framework FloodSearch. Currently, the quality goals of the WFD to reach a "good chemical status" are not met in many catchment areas because substances such as mercury do and others probably will (PCDD/Fs and dl-PCB) exceed biota-EQS values catchment area-wide. So far, relating biota-EQS values to sediment-EQSs is not possible. To overcome these limitations, the DioRAMA project was initiated, which has led to improved approaches for the assessment of dioxin-contaminated sediment using in vitro bioassays and to a robust dataset on the interrelation between dioxins and dioxin-like compounds in sediments and biota.
ERIC Educational Resources Information Center
Watson, Amy C.; Angell, Beth; Vidalon, Theresa; Davis, Kristin
2010-01-01
Despite increased recent attention to improving the quality of encounters between police officers and people with serious mental illness, there are no measures available for assessing how consumers perceive their interactions with police officers. Drawing upon conceptual frameworks developed within social psychology, this study reports the…
ERIC Educational Resources Information Center
Lawrence, Nancy; Sanders, Felicia; Christman, Jolley Bruce; Duffy, Mark
2011-01-01
The Bill and Melinda Gates Foundation has invested in the development and dissemination of high-quality formative assessment tools to support teachers' incorporation of the Core Common State Standards (CCSS) into their classroom instruction. Lessons from the first generation of standards-based reforms suggest that intense attention to high quality…
Development of Mechanical Engineering Curricula at the University of Minho
ERIC Educational Resources Information Center
Teixeira, Jose Carlos Fernandes; da Silva, Jaime Ferreira; Flores, Paulo
2007-01-01
The implementation of the Bologna protocol in the European Union has set new goals for the whole higher education system as: (a) a quality assessment for university courses; (b) a framework for the exchange of students and academics; and (c) an opportunity for changing the teaching/learning procedures and methodologies. Within the context, the…
ERIC Educational Resources Information Center
Ing, Marsha; Shih, Jeffrey C.
2013-01-01
There are situations within middle school settings where measurements of students and teachers are used for high-stakes decisions. For example, student performance is used as an indicator of teacher quality or determines student eligibility for particular types of support services. Given the high-stakes nature of these types of assessments,…
ERIC Educational Resources Information Center
McCowan, Col; McKenzie, Malcolm
2011-01-01
In 2007 the Career Industry Council of Australia developed the Guiding Principles for Career Development Services and Career Information Products as one part of its strategy to produce a national quality framework for career development activities in Australia. An Australian university career service undertook an assessment process against these…
My Tongue on Your Theory: The Bittersweet Reminder of Every-Thing Unnameable
ERIC Educational Resources Information Center
Holmes, Rachel
2016-01-01
Across research in UK Higher Education, the most immanent demands for quality have taken the shape of the Research Assessment Exercise and the Research Excellence Framework (REF). The theorist, Martin, is cautious of the relationship academics have engendered with the process of the REF, asking are we actually creating a Frankenstein monster,…
ERIC Educational Resources Information Center
Westling Allodi, Mara
2007-01-01
The Goals, Attitudes and Values in School (GAVIS) questionnaire was developed on the basis of theoretical frameworks concerning learning environments, universal human values and studies of students' experience of learning environments. The theory hypothesises that learning environments can be described and structured in a circumplex model using…
Nonprofit Hospitals’ Approach to Community Health Needs Assessment
McLeroy, Kenneth R.; Burdine, James N.; Matarrita-Cascante, David
2015-01-01
Objectives. We sought a better understanding of how nonprofit hospitals are fulfilling the community health needs assessment (CHNA) provision of the 2010 Patient Protection and Affordable Care Act to conduct CHNAs and develop CHNA and implementation strategies reports. Methods. Through an Internet search of an estimated 179 nonprofit hospitals in Texas conducted between December 1, 2013, and January 5, 2014, we identified and reviewed 95 CHNA and implementation strategies reports. We evaluated and scored reports with specific criteria. We analyzed hospital-related and other report characteristics to understand relationships with report quality. Results. There was wide-ranging diversity in CHNA approaches and report quality. Consultant-led CHNA processes and collaboration with local health departments were associated with higher-quality reports. Conclusions. At the time of this study, the Internal Revenue Service had not yet issued the final regulations for the CHNA requirement. This provides an opportunity to strengthen the CHNA guidance for the final regulations, clarify the purpose of the assessment and planning process and reports, and better align assessment and planning activities through a public health framework. PMID:25602862
Wu, Hao; Zhang, Yan; Yu, Qi; Ma, Weichun
2018-04-01
In this study, the authors endeavored to develop an effective framework for improving local urban air quality on meso-micro scales in cities in China that are experiencing rapid urbanization. Within this framework, the integrated Weather Research and Forecasting (WRF)/CALPUFF modeling system was applied to simulate the concentration distributions of typical pollutants (particulate matter with an aerodynamic diameter <10 μm [PM 10 ], sulfur dioxide [SO 2 ], and nitrogen oxides [NO x ]) in the urban area of Benxi. Statistical analyses were performed to verify the credibility of this simulation, including the meteorological fields and concentration fields. The sources were then categorized using two different classification methods (the district-based and type-based methods), and the contributions to the pollutant concentrations from each source category were computed to provide a basis for appropriate control measures. The statistical indexes showed that CALMET had sufficient ability to predict the meteorological conditions, such as the wind fields and temperatures, which provided meteorological data for the subsequent CALPUFF run. The simulated concentrations from CALPUFF showed considerable agreement with the observed values but were generally underestimated. The spatial-temporal concentration pattern revealed that the maximum concentrations tended to appear in the urban centers and during the winter. In terms of their contributions to pollutant concentrations, the districts of Xihu, Pingshan, and Mingshan all affected the urban air quality to different degrees. According to the type-based classification, which categorized the pollution sources as belonging to the Bengang Group, large point sources, small point sources, and area sources, the source apportionment showed that the Bengang Group, the large point sources, and the area sources had considerable impacts on urban air quality. Finally, combined with the industrial characteristics, detailed control measures were proposed with which local policy makers could improve the urban air quality in Benxi. In summary, the results of this study showed that this framework has credibility for effectively improving urban air quality, based on the source apportionment of atmospheric pollutants. The authors endeavored to build up an effective framework based on the integrated WRF/CALPUFF to improve the air quality in many cities on meso-micro scales in China. Via this framework, the integrated modeling tool is accurately used to study the characteristics of meteorological fields, concentration fields, and source apportionments of pollutants in target area. The impacts of classified sources on air quality together with the industrial characteristics can provide more effective control measures for improving air quality. Through the case study, the technical framework developed in this study, particularly the source apportionment, could provide important data and technical support for policy makers to assess air pollution on the scale of a city in China or even the world.
Enge, M; Koch, A; Müller, T; Vorländer, T
2010-12-01
The legal responsibilities imposed upon rehabilitation facilities under section 20 (2a) SGB IX, necessitate fundamental decisions to be taken regarding the development of quality management systems over and above the existing framework. This article is intended to provide ideas and suggestions to assist rehabilitation facilities in implementing a quality management system, which is required in addition to participation in the quality assurance programmes stipulated by the rehabilitation carriers. In this context, the additional internal benefit a functioning quality management system can provide for ensuring a high level of quality and for maintaining the competitiveness of the rehabilitation facility should be taken into account. The core element of these observations, hence, is a list of requirements which enables assessment of the quality of consultants' performance in setting up a quality management system. © Georg Thieme Verlag KG Stuttgart · New York.
Greene, Krista L; Tonjes, David J
2014-04-01
The primary objective of waste management technologies and policies in the United States is to reduce the harmful environmental impacts of waste, particularly those relating to energy consumption and climate change. Performance indicators are frequently used to evaluate the environmental quality of municipal waste systems, as well as to compare and rank programs relative to each other in terms of environmental performance. However, there currently is no consensus on the best indicator for performing these environmental evaluations. The purpose of this study is to examine the common performance indicators used to assess the environmental benefits of municipal waste systems to determine if there is agreement between them regarding which system performs best environmentally. Focus is placed on how indicator selection influences comparisons between municipal waste management programs and subsequent system rankings. The waste systems of ten municipalities in the state of New York, USA, were evaluated using each common performance indicator and Spearman correlations were calculated to see if there was a significant association between system rank orderings. Analyses showed that rank orders of waste systems differ substantially when different indicators are used. Therefore, comparative system assessments based on indicators should be considered carefully, especially those intended to gauge environmental quality. Insight was also gained into specific factors which may lead to one system achieving higher rankings than another. However, despite the insufficiencies of indicators for comparative quality assessments, they do provide important information for waste managers and they can assist in evaluating internal programmatic performance and progress. To enhance these types of assessments, a framework for scoring indicators based on criteria that evaluate their utility and value for system evaluations was developed. This framework was used to construct an improved model for waste system performance assessments. Copyright © 2014 Elsevier Ltd. All rights reserved.
Tabrizi, Jafar Sadegh; Gholipour, Kamal; Iezadi, Shabnam; Farahbakhsh, Mostafa; Ghiasi, Akbar
2018-01-01
The aim was to design a district health management performance framework for Iran's healthcare system. The mixed-method study was conducted between September 2015 and May 2016 in Tabriz, Iran. In this study, the indicators of district health management performance were obtained by analyzing the 45 semi-structured surveys of experts in the public health system. Content validity of performance indicators which were generated in qualitative part were reviewed and confirmed based on content validity index (CVI). Also content validity ratio (CVR) was calculated using data acquired from a survey of 21 experts in quantitative part. The result of this study indicated that, initially, 81 indicators were considered in framework of district health management performance and, at the end, 53 indicators were validated and confirmed. These indicators were classified in 11 categories which include: human resources and organizational creativity, management and leadership, rules and ethics, planning and evaluation, district managing, health resources management and economics, community participation, quality improvement, research in health system, health information management, epidemiology and situation analysis. The designed framework model can be used to assess the district health management and facilitates performance improvement at the district level.
Using a social capital framework to enhance measurement of the nursing work environment.
Sheingold, Brenda Helen; Sheingold, Steven H
2013-07-01
To develop, field test and analyse a social capital survey instrument for measuring the nursing work environment. The concept of social capital, which focuses on improving productive capacity by examining relationships and networks, may provide a promising framework to measure and evaluate the nurse work environment in a variety of settings. A survey instrument for measuring social capital in the nurse work environment was developed by adapting the World Bank's Social Capital - Integrated Questionnaire (SC-IQ). Exploratory factor analysis and multiple regression analyses were applied to assess the properties of the instrument. The exploratory factor analysis yielded five factors that align well with the social capital framework, while reflecting unique aspects of the nurse work environment. The results suggest that the social capital framework provides a promising context to assess the nurse work environment. Further work is needed to refine the instrument for a diverse range of health-care providers and to correlate social capital measures with quality of patient care. Social capital measurement of the nurse work environment has the potential to provide managers with an enhanced set of tools for building productive capacity in health-care organisations and achieving desired outcomes. © 2013 John Wiley & Sons Ltd.
Ecosystem Services and Climate Change Considerations for ...
Freshwater habitats provide fishable, swimmable and drinkable resources and are a nexus of geophysical and biological processes. These processes in turn influence the persistence and sustainability of populations, communities and ecosystems. Climate change and landuse change encompass numerous stressors of potential exposure, including the introduction of toxic contaminants, invasive species, and disease in addition to physical drivers such as temperature and hydrologic regime. A systems approach that includes the scientific and technologic basis of assessing the health of ecosystems is needed to effectively protect human health and the environment. The Integrated Environmental Modeling Framework “iemWatersheds” has been developed as a consistent and coherent means of forecasting the cumulative impact of co-occurring stressors. The Framework consists of three facilitating technologies: Data for Environmental Modeling (D4EM) that automates the collection and standardization of input data; the Framework for Risk Assessment of Multimedia Environmental Systems (FRAMES) that manages the flow of information between linked models; and the Supercomputer for Model Uncertainty and Sensitivity Evaluation (SuperMUSE) that provides post-processing and analysis of model outputs, including uncertainty and sensitivity analysis. Five models are linked within the Framework to provide multimedia simulation capabilities for hydrology and water quality processes: the Soil Water
Harder, Thomas; Takla, Anja; Eckmanns, Tim; Ellis, Simon; Forland, Frode; James, Roberta; Meerpohl, Joerg J; Morgan, Antony; Rehfuess, Eva; Schünemann, Holger; Zuiderent-Jerak, Teun; de Carvalho Gomes, Helena; Wichmann, Ole
2017-10-01
Decisions in public health should be based on the best available evidence, reviewed and appraised using a rigorous and transparent methodology. The Project on a Framework for Rating Evidence in Public Health (PRECEPT) defined a methodology for evaluating and grading evidence in infectious disease epidemiology, prevention and control that takes different domains and question types into consideration. The methodology rates evidence in four domains: disease burden, risk factors, diagnostics and intervention. The framework guiding it has four steps going from overarching questions to an evidence statement. In step 1, approaches for identifying relevant key areas and developing specific questions to guide systematic evidence searches are described. In step 2, methodological guidance for conducting systematic reviews is provided; 15 study quality appraisal tools are proposed and an algorithm is given for matching a given study design with a tool. In step 3, a standardised evidence-grading scheme using the Grading of Recommendations Assessment, Development and Evaluation Working Group (GRADE) methodology is provided, whereby findings are documented in evidence profiles. Step 4 consists of preparing a narrative evidence summary. Users of this framework should be able to evaluate and grade scientific evidence from the four domains in a transparent and reproducible way.
Harder, Thomas; Takla, Anja; Eckmanns, Tim; Ellis, Simon; Forland, Frode; James, Roberta; Meerpohl, Joerg J; Morgan, Antony; Rehfuess, Eva; Schünemann, Holger; Zuiderent-Jerak, Teun; de Carvalho Gomes, Helena; Wichmann, Ole
2017-01-01
Decisions in public health should be based on the best available evidence, reviewed and appraised using a rigorous and transparent methodology. The Project on a Framework for Rating Evidence in Public Health (PRECEPT) defined a methodology for evaluating and grading evidence in infectious disease epidemiology, prevention and control that takes different domains and question types into consideration. The methodology rates evidence in four domains: disease burden, risk factors, diagnostics and intervention. The framework guiding it has four steps going from overarching questions to an evidence statement. In step 1, approaches for identifying relevant key areas and developing specific questions to guide systematic evidence searches are described. In step 2, methodological guidance for conducting systematic reviews is provided; 15 study quality appraisal tools are proposed and an algorithm is given for matching a given study design with a tool. In step 3, a standardised evidence-grading scheme using the Grading of Recommendations Assessment, Development and Evaluation Working Group (GRADE) methodology is provided, whereby findings are documented in evidence profiles. Step 4 consists of preparing a narrative evidence summary. Users of this framework should be able to evaluate and grade scientific evidence from the four domains in a transparent and reproducible way. PMID:29019317
NASA Astrophysics Data System (ADS)
Wong, David W. C.; Choy, K. L.; Chow, Harry K. H.; Lin, Canhong
2014-06-01
For the most rapidly growing economic entity in the world, China, a new logistics operation called the indirect cross-border supply chain model has recently emerged. The primary idea of this model is to reduce logistics costs by storing goods at a bonded warehouse with low storage cost in certain Chinese regions, such as the Pearl River Delta (PRD). This research proposes a performance measurement system (PMS) framework to assess the direct and indirect cross-border supply chain models. The PMS covers four categories including cost, time, quality and flexibility in the assessment of the performance of direct and indirect models. Furthermore, a survey was conducted to investigate the logistics performance of third party logistics (3PLs) at the PRD regions, including Guangzhou, Shenzhen and Hong Kong. The significance of the proposed PMS framework allows 3PLs accurately pinpoint the weakness and strengths of it current operations policy at four major performance measurement categories. Hence, this helps 3PLs further enhance the competitiveness and operations efficiency through better resources allocation at the area of warehousing and transportation.
Medical school benchmarking - from tools to programmes.
Wilkinson, Tim J; Hudson, Judith N; Mccoll, Geoffrey J; Hu, Wendy C Y; Jolly, Brian C; Schuwirth, Lambert W T
2015-02-01
Benchmarking among medical schools is essential, but may result in unwanted effects. To apply a conceptual framework to selected benchmarking activities of medical schools. We present an analogy between the effects of assessment on student learning and the effects of benchmarking on medical school educational activities. A framework by which benchmarking can be evaluated was developed and applied to key current benchmarking activities in Australia and New Zealand. The analogy generated a conceptual framework that tested five questions to be considered in relation to benchmarking: what is the purpose? what are the attributes of value? what are the best tools to assess the attributes of value? what happens to the results? and, what is the likely "institutional impact" of the results? If the activities were compared against a blueprint of desirable medical graduate outcomes, notable omissions would emerge. Medical schools should benchmark their performance on a range of educational activities to ensure quality improvement and to assure stakeholders that standards are being met. Although benchmarking potentially has positive benefits, it could also result in perverse incentives with unforeseen and detrimental effects on learning if it is undertaken using only a few selected assessment tools.
NASA Astrophysics Data System (ADS)
Johan, Kartina; Mohd Turan, Faiz
2016-11-01
Malaysian Engineering Accreditation (Engineering Programme Accreditation Manual, 2007) requires all bachelor degree in engineering programmes to incorporate a minimum of two months industrial training in order for the programme to be accredited by the council. The industrial training has the objective to provide students on the insights of being an engineer at the workplace hence increasing their knowledge in employability skills prior to graduation. However the current structure of industrial training is not able to inculcate good leadership ability and prepare students with sustainability competencies needed in the era of Sustainable Development (SD). This paper aims to study project management methodology as a framework to create a training pathway in industrial training for students in engineering programs using Green Project Management (GPM) P5 standard for sustainability in project management. The framework involves students as interns, supervisors from both university and industry and also participation from NonProfit Organisation (NPO). The framework focus on the development of the student's competency in employability skills, lean leadership and sustainability competencies using experiential learning approach. Deliverables of the framework include internship report, professional sustainability report using GPM P5 standard and competency assessment. The post-industrial phase of the framework is constructed for students to be assessed collaboratively by the university, industry and the sustainability practitioner in the country. The ability for the interns to act as a change agent in sustainability practices is measured by the competency assessment and the quality of the sustainability report. The framework support the call for developing holistic students based on Malaysian Education Blueprint (Higher Education) 2015-2025 and address the gap between the statuses of engineering qualification to the sustainability competencies in the 21st century in particular by achieving the Sustainability Graduates (SG) attributes outlined in the framework.
An evidence-based framework to measure quality of allied health care.
Grimmer, Karen; Lizarondo, Lucylynn; Kumar, Saravana; Bell, Erica; Buist, Michael; Weinstein, Philip
2014-02-26
There is no standard way of describing the complexities of allied health (AH) care, or its quality. AH is an umbrella term which excludes medicine and nursing, and variably includes disciplines which provide therapy, diagnostic, or scientific services. This paper outlines a framework for a standard approach to evaluate the quality of AH therapy services. A realist synthesis framework describing what AH does, how it does it, and what is achieved, was developed. This was populated by the findings of a systematic review of literature published since 1980 reporting concepts of quality relevant to AH. Articles were included on quality measurement concepts, theories, debates, and/or hypothetical frameworks. Of 139 included articles, 21 reported on descriptions of quality potentially relevant to AH. From these, 24 measures of quality were identified, with 15 potentially relating to what AH does, 17 to how AH delivers care, 8 relating to short term functional outcomes, and 9 relating to longer term functional and health system outcomes. A novel evidence-based quality framework was proposed to address the complexity of AH therapies. This should assist in better evaluation of AH processes and outcomes, costs, and evidence-based engagement of AH providers in healthcare teams.
Data Driven Performance Evaluation of Wireless Sensor Networks
Frery, Alejandro C.; Ramos, Heitor S.; Alencar-Neto, José; Nakamura, Eduardo; Loureiro, Antonio A. F.
2010-01-01
Wireless Sensor Networks are presented as devices for signal sampling and reconstruction. Within this framework, the qualitative and quantitative influence of (i) signal granularity, (ii) spatial distribution of sensors, (iii) sensors clustering, and (iv) signal reconstruction procedure are assessed. This is done by defining an error metric and performing a Monte Carlo experiment. It is shown that all these factors have significant impact on the quality of the reconstructed signal. The extent of such impact is quantitatively assessed. PMID:22294920
Mouratiadou, Ioanna; Russell, Graham; Topp, Cairistiona; Louhichi, Kamel; Moran, Dominic
2010-01-01
Selecting cost-effective measures to regulate agricultural water pollution to conform to the Water Framework Directive presents multiple challenges. A bio-economic modelling approach is presented that has been used to explore the water quality and economic effects of the 2003 Common Agricultural Policy Reform and to assess the cost-effectiveness of input quotas and emission standards against nitrate leaching, in a representative case study catchment in Scotland. The approach combines a biophysical model (NDICEA) with a mathematical programming model (FSSIM-MP). The results indicate only small changes due to the Reform, with the main changes in farmers' decision making and the associated economic and water quality indicators depending on crop price changes, and suggest the use of target fertilisation in relation to crop and soil requirements, as opposed to measures targeting farm total or average nitrogen use.
A Quality Assurance Framework for Recruiting, Training (and Retaining) Virtual Adjunct Faculty
ERIC Educational Resources Information Center
Sixl-Daniell, Karin; Williams, Jeremy B.; Wong, Amy
2006-01-01
The paper commences with a brief summary of the literature on the quality assurance process in e-Learning in higher education. This is followed by an overview of the U21Global quality assurance framework. Within this framework there is particular emphasis on the process governing the appointment (and re-appointment) of adjunct faculty; a process…
A framework for automatic information quality ranking of diabetes websites.
Belen Sağlam, Rahime; Taskaya Temizel, Tugba
2015-01-01
Objective: When searching for particular medical information on the internet the challenge lies in distinguishing the websites that are relevant to the topic, and contain accurate information. In this article, we propose a framework that automatically identifies and ranks diabetes websites according to their relevance and information quality based on the website content. Design: The proposed framework ranks diabetes websites according to their content quality, relevance and evidence based medicine. The framework combines information retrieval techniques with a lexical resource based on Sentiwordnet making it possible to work with biased and untrusted websites while, at the same time, ensuring the content relevance. Measurement: The evaluation measurements used were Pearson-correlation, true positives, false positives and accuracy. We tested the framework with a benchmark data set consisting of 55 websites with varying degrees of information quality problems. Results: The proposed framework gives good results that are comparable with the non-automated information quality measuring approaches in the literature. The correlation between the results of the proposed automated framework and ground-truth is 0.68 on an average with p < 0.001 which is greater than the other proposed automated methods in the literature (r score in average is 0.33).
Influence of camera parameters on the quality of mobile 3D capture
NASA Astrophysics Data System (ADS)
Georgiev, Mihail; Boev, Atanas; Gotchev, Atanas; Hannuksela, Miska
2010-01-01
We investigate the effect of camera de-calibration on the quality of depth estimation. Dense depth map is a format particularly suitable for mobile 3D capture (scalable and screen independent). However, in real-world scenario cameras might move (vibrations, temp. bend) form their designated positions. For experiments, we create a test framework, described in the paper. We investigate how mechanical changes will affect different (4) stereo-matching algorithms. We also assess how different geometric corrections (none, motion compensation-like, full rectification) will affect the estimation quality (how much offset can be still compensated with "crop" over a larger CCD). Finally, we show how estimated camera pose change (E) relates with stereo-matching, which can be used for "rectification quality" measure.
Funderburk, F R; Pathak, D S; Pleil, A M
1998-01-01
Quality of life is a fascinating field to researchers and practitioners alike. To some researchers, quality of life is of interest because it offers untold challenges in constructing instruments and capturing data necessary to answer key questions about health, disease, and treatment. For such researchers, quality of life is about statistical relationships among questions and about using questions to define the physical, social, and emotional domains of health. To other researchers, this field is about finding practical applications in policy and treatment decision making for the information provided by quality of life assessments. To these researchers, the focus of quality of life is on ways to apply knowledge of quality of life differences between groups with and without specific diseases or ways to use knowledge about how treatments affect the quality of life of various patient populations. To practitioners, quality of life is about treatment outcomes that impact individual patients' daily lives. It is the practitioner that Funderburk, Pleil, and Pathak are considering in their paper in this issue of Pharmacy Practice Management Quarterly. These authors give several important messages to practitioners seeking to serve their patients by incorporating quality of life into their practices. The key message in the paper is that to better understand and determine the impact of treatment on a patient's quality of life, it is critical to start with a baseline or reference point relevant to that patient. From that baseline or reference point, treatment decisions can be made and progress, in quality of life terms, can be evaluated. Critical questions in their framework, which is called the IN*COMPASS (Individualized Client Oriented Method for Preferred Alleviation of Sickness States) Approach, are "How are you now?" and "How would you like to be?" The authors do not endorse particular quality of life tools in their approach; rather they prescribe certain critical questions that must be answered if information captured by any quality of life tool is to be useful at the patient level. Readers should not be put off by the fancy acronym used in this paper; nor must readers be keen students of quality of life to appreciate its message. The IN*COMPASS approach is fundamental to good patient care and can be applied by practitioners with any level of understanding of and appreciation for quality of life assessments.
Education for All in South Africa: Developing a National System for Quality Assurance.
ERIC Educational Resources Information Center
Smith, William J.; Ngoma-Maema, Wendy Yolisa
2003-01-01
Draws on international research, policy, and practice relevant to quality assurance systems to analyze the development of a national framework for educational quality assurance in South Africa. Describes an emerging framework for quality assurance that encompasses evaluation of student achievement, quality audits and reviews, program and service…
NASA Astrophysics Data System (ADS)
Bagheri, H.; Schmitt, M.; Zhu, X. X.
2017-05-01
Recently, with InSAR data provided by the German TanDEM-X mission, a new global, high-resolution Digital Elevation Model (DEM) has been produced by the German Aerospace Center (DLR) with unprecedented height accuracy. However, due to SAR-inherent sensor specifics, its quality decreases over urban areas, making additional improvement necessary. On the other hand, DEMs derived from optical remote sensing imagery, such as Cartosat-1 data, have an apparently greater resolution in urban areas, making their fusion with TanDEM-X elevation data a promising perspective. The objective of this paper is two-fold: First, the height accuracies of TanDEM-X and Cartosat-1 elevation data over different land types are empirically evaluated in order to analyze the potential of TanDEM-XCartosat- 1 DEM data fusion. After the quality assessment, urban DEM fusion using weighted averaging is investigated. In this experiment, both weight maps derived from the height error maps delivered with the DEM data, as well as more sophisticated weight maps predicted by a procedure based on artificial neural networks (ANNs) are compared. The ANN framework employs several features that can describe the height residual performance to predict the weights used in the subsequent fusion step. The results demonstrate that especially the ANN-based framework is able to improve the quality of the final DEM through data fusion.
Correa-de-Araujo, Rosaly; Harris-Love, Michael O; Miljkovic, Iva; Fragala, Maren S; Anthony, Brian W; Manini, Todd M
2017-01-01
A growing body of scientific literature suggests that not only changes in skeletal muscle mass, but also other factors underpinning muscle quality, play a role in the decline in skeletal muscle function and impaired mobility associated with aging. A symposium on muscle quality and the need for standardized assessment was held on April 28, 2016 at the International Conference on Frailty and Sarcopenia Research in Philadelphia, Pennsylvania. The purpose of this symposium was to provide a venue for basic science and clinical researchers and expert clinicians to discuss muscle quality in the context of skeletal muscle function deficit and other aging-related muscle dysfunctions. The present article provides an expanded introduction concerning the emerging definitions of muscle quality and a potential framework for scientific inquiry within the field. Changes in muscle tissue composition, based on excessive levels of inter- and intra-muscular adipose tissue and intramyocellular lipids, have been found to adversely impact metabolism and peak force generation. However, methods to easily and rapidly assess muscle tissue composition in multiple clinical settings and with minimal patient burden are needed. Diagnostic ultrasound and other assessment methods continue to be developed for characterizing muscle pathology, and enhanced sonography using sensors to provide user feedback and improve reliability is currently the subject of ongoing investigation and development. In addition, measures of relative muscle force such as specific force or grip strength adjusted for body size have been proposed as methods to assess changes in muscle quality. Furthermore, performance-based assessments of muscle power via timed tests of function and body size estimates, are associated with lower extremity muscle strength may be responsive to age-related changes in muscle quality. Future aims include reaching consensus on the definition and standardized assessments of muscle quality, and providing recommendations to address critical clinical and technology research gaps within the field.
Strategic Issues in Quality Management: 1. Theoretical Considerations.
ERIC Educational Resources Information Center
Johannsen, Carl Gustav
1996-01-01
Examines the relationship between strategic management and quality management concepts in a library and information services setting. Conceptual frameworks are presented and a new strategic quality management framework, inspired by the Japanese policy deployment approach, is developed that also discusses total quality management. (Author/LRW)
Dziadkowiec, Oliwier; Callahan, Tiffany; Ozkaynak, Mustafa; Reeder, Blaine; Welton, John
2016-01-01
Objectives: We examine the following: (1) the appropriateness of using a data quality (DQ) framework developed for relational databases as a data-cleaning tool for a data set extracted from two EPIC databases, and (2) the differences in statistical parameter estimates on a data set cleaned with the DQ framework and data set not cleaned with the DQ framework. Background: The use of data contained within electronic health records (EHRs) has the potential to open doors for a new wave of innovative research. Without adequate preparation of such large data sets for analysis, the results might be erroneous, which might affect clinical decision-making or the results of Comparative Effectives Research studies. Methods: Two emergency department (ED) data sets extracted from EPIC databases (adult ED and children ED) were used as examples for examining the five concepts of DQ based on a DQ assessment framework designed for EHR databases. The first data set contained 70,061 visits; and the second data set contained 2,815,550 visits. SPSS Syntax examples as well as step-by-step instructions of how to apply the five key DQ concepts these EHR database extracts are provided. Conclusions: SPSS Syntax to address each of the DQ concepts proposed by Kahn et al. (2012)1 was developed. The data set cleaned using Kahn’s framework yielded more accurate results than the data set cleaned without this framework. Future plans involve creating functions in R language for cleaning data extracted from the EHR as well as an R package that combines DQ checks with missing data analysis functions. PMID:27429992
[Extraction of management information from the national quality assurance program].
Stausberg, Jürgen; Bartels, Claus; Bobrowski, Christoph
2007-07-15
Starting with clinically motivated projects, the national quality assurance program has established a legislative obligatory framework. Annual feedback of results is an important means of quality control. The annual reports cover quality-related information with high granularity. A synopsis for corporate management is missing, however. Therefore, the results of the University Clinics in Greifswald, Germany, have been analyzed and aggregated to support hospital management. Strengths were identified by the ranking of results within the state for each quality indicator, weaknesses by the comparison with national reference values. The assessment was aggregated per clinical discipline and per category (indication, process, and outcome). A composition of quality indicators was claimed multiple times. A coherent concept is still missing. The method presented establishes a plausible summary of strengths and weaknesses of a hospital from the point of view of the national quality assurance program. Nevertheless, further adaptation of the program is needed to better assist corporate management.
A scope classification of data quality requirements for food composition data.
Presser, Karl; Hinterberger, Hans; Weber, David; Norrie, Moira
2016-02-15
Data quality is an important issue when managing food composition data since the usage of the data can have a significant influence on policy making and further research. Although several frameworks for data quality have been proposed, general tools and measures are still lacking. As a first step in this direction, we investigated data quality requirements for an information system to manage food composition data, called FoodCASE. The objective of our investigation was to find out if different requirements have different impacts on the intrinsic data quality that must be regarded during data quality assessment and how these impacts can be described. We refer to the resulting classification with its categories as the scope classification of data quality requirements. As proof of feasibility, the scope classification has been implemented in the FoodCASE system. Copyright © 2015 Elsevier Ltd. All rights reserved.
Quality of Mental Health Care for Nursing Home Residents: A Literature Review
Grabowski, David C.; Aschbrenner, Kelly A.; Rome, Vincent F.; Bartels, Stephen J.
2010-01-01
Because of the high proportion of nursing home residents with a mental illness other than dementia, the quality of mental health care in nursing homes is a major clinical and policy issue. The authors apply Donabedian's framework for assessing quality of care based on the triad of structure, process, and outcome-based measures in reviewing the literature on the quality of mental health care in nursing homes. Quality measures used within the literature include mental health consultations and hospitalizations, inappropriate use of medications, and mental health survey deficiencies. Factors related to the resident's welfare (nurse staffing), provider norms (locality), and financial factors (payer mix) were associated with the quality of mental health care. Although future research is necessary, the extant literature suggests that persons with mental illness are frequently admitted to nursing homes and their care is often of poor quality and related to a series of resident and facility factors. PMID:20223943
Kumpel, Emily; Peletz, Rachel; Bonham, Mateyo; Khush, Ranjiv
2016-10-18
Universal access to safe drinking water is prioritized in the post-2015 Sustainable Development Goals. Collecting reliable and actionable water quality information in low-resource settings, however, is challenging, and little is known about the correspondence between water quality data collected by local monitoring agencies and global frameworks for water safety. Using 42 926 microbial water quality test results from 32 surveillance agencies and water suppliers in seven sub-Saharan African countries, we determined the degree to which water sources were monitored, how water quality varied by source type, and institutional responses to results. Sixty-four percent of the water samples were collected from piped supplies, although the majority of Africans rely on nonpiped sources. Piped supplies had the lowest levels of fecal indicator bacteria (FIB) compared to any other source type: only 4% of samples of water piped to plots and 2% of samples from water piped to public taps/standpipes were positive for FIB (n = 14 948 and n = 12 278, respectively). Among other types of improved sources, samples from harvested rainwater and boreholes were less often positive for FIB (22%, n = 167 and 31%, n = 3329, respectively) than protected springs or protected dug wells (39%, n = 472 and 65%, n = 505). When data from different settings were aggregated, the FIB levels in different source types broadly reflected the source-type water safety framework used by the Joint Monitoring Programme. However, the insufficient testing of nonpiped sources relative to their use indicates important gaps in current assessments. Our results emphasize the importance of local data collection for water safety management and measurement of progress toward universal safe drinking water access.
Applying a dryland degradation framework for rangelands: the case of Mongolia.
Jamsranjav, C; Reid, R S; Fernández-Giménez, M E; Tsevlee, A; Yadamsuren, B; Heiner, M
2018-04-01
Livestock-caused rangeland degradation remains a major policy concern globally and the subject of widespread scientific study. This concern persists in part because it is difficult to isolate the effects of livestock from climate and other factors that influence ecosystem conditions. Further, degradation studies seldom use multiple plant and soil indicators linked to a clear definition of and ecologically grounded framework for degradation assessment that distinguishes different levels of degradation. Here, we integrate two globally applicable rangeland degradation frameworks and apply them to a broad-scale empirical data set for the country of Mongolia. We compare our assessment results with two other recent national rangeland degradation assessments in Mongolia to gauge consistency of findings across assessments and evaluate the utility of our framework. We measured livestock-use impacts across Mongolia's major ecological zones: mountain and forest steppe, eastern steppe, steppe, and desert steppe. At 143 sites in 36 counties, we measured livestock-use and degradation indicators at increasing distances from livestock corrals in winter-grazed pastures. At each site, we measured multiple indicators linked to our degradation framework, including plant cover, standing biomass, palatability, species richness, forage quality, vegetation gaps, and soil surface characteristics. Livestock use had no effect on soils, plant species richness, or standing crop biomass in any ecological zone, but subtly affected plant cover and palatable plant abundance. Livestock effects were strongest in the steppe zone, moderate in the desert steppe, and limited in the mountain/forest and eastern steppes. Our results aligned closely with those of two other recent country-wide assessments, suggesting that our framework may have widespread application. All three assessments found that very severe and irreversible degradation is rare in Mongolia (1-18% of land area), with most rangelands slightly (33-53%) or moderately (25-40%) degraded. We conclude that very severe livestock-induced rangeland degradation is overstated in Mongolia. However, targeted rangeland restoration coupled with monitoring, adaptive management and stronger rangeland governance are needed to prevent further degradation where heavy grazing could cause irreversible change. Given the broad applicability of our degradation framework for Mongolia, we suggest it be tested for application in other temperate grasslands throughout Central Asia and North America. © 2018 The Authors Ecological Applications published by Wiley Periodicals, Inc. on behalf of Ecological Society of America.
Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina
2017-01-01
Abstract. We describe a postacquisition, attribute-based quality assessment method for brain magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to the relationship between entropy and image quality attributes. The entropy feature image of a slice is segmented into low- and high-entropy regions. For each entropy region, there are three separate observations of contrast, standard deviation, and sharpness quality attributes. A quality index for a quality attribute is the posterior probability of an entropy region given any corresponding region in a feature image where quality attribute is observed. Prior belief in each entropy region is determined from normalized total clique potential (TCP) energy of the slice. For TCP below the predefined threshold, the prior probability for a region is determined by deviation of its percentage composition in the slice from a standard normal distribution built from 250 MRI volume data provided by Alzheimer’s Disease Neuroimaging Initiative. For TCP above the threshold, the prior is computed using a mathematical model that describes the TCP–noise level relationship in brain MRI images. Our proposed method assesses the image quality of each entropy region and the global image. Experimental results demonstrate good correlation with subjective opinions of radiologists for different types and levels of quality distortions. PMID:28630885