Touchet, Bryan; Walker, Ashley; Flanders, Sarah; McIntosh, Heather
2018-04-01
In the first year of training, psychiatry residents progress from direct supervision to indirect supervision but factors predicting time to transition between these levels of supervision are unknown. This study aimed to examine times for transition to indirect levels of supervision and to identify resident factors associated with slower progression. The authors compiled data from training files from years 2011-2015, including licensing exam scores, age, gender, medical school, month of first inpatient psychiatry rotation, and transition times between levels of supervision. Correlational analysis examined the relationship between these factors. Univariate analysis further examined the relationship between medical school training and transition times between supervision levels. Among the factors studied, only international medical school training was positively correlated with time to transition to indirect supervision and between levels of indirect supervision. International medical graduate (IMG) interns in psychiatry training may benefit from additional training and support to reach competencies required for the transition to indirect supervision.
Mental health nurses' experiences of managing work-related emotions through supervision.
MacLaren, Jessica; Stenhouse, Rosie; Ritchie, Deborah
2016-10-01
The aim of this study was to explore emotion cultures constructed in supervision and consider how supervision functions as an emotionally safe space promoting critical reflection. Research published between 1995-2015 suggests supervision has a positive impact on nurses' emotional well-being, but there is little understanding of the processes involved in this and how styles of emotion interaction are established in supervision. A narrative approach was used to investigate mental health nurses' understandings and experiences of supervision. Eight semi-structured interviews were conducted with community mental health nurses in the UK during 2011. Analysis of audio data used features of speech to identify narrative discourse and illuminate meanings. A topic-centred analysis of interview narratives explored discourses shared between the participants. This supported the identification of feeling rules in participants' narratives and the exploration of the emotion context of supervision. Effective supervision was associated with three feeling rules: safety and reflexivity; staying professional; managing feelings. These feeling rules allowed the expression and exploration of emotions, promoting critical reflection. A contrast was identified between the emotion culture of supervision and the nurses' experience of their workplace cultures as requiring the suppression of difficult emotions. Despite this, contrast supervision functioned as an emotion micro-culture with its own distinctive feeling rules. The analytical construct of feeling rules allows us to connect individual emotional experiences to shared normative discourses, highlighting how these shape emotional processes taking place in supervision. This understanding supports an explanation of how supervision may positively influence nurses' emotion management and perhaps reduce burnout. © 2016 John Wiley & Sons Ltd.
A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification.
Peikari, Mohammad; Salama, Sherine; Nofech-Mozes, Sharon; Martel, Anne L
2018-05-08
Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points with the help of a large number of unlabeled data points. In this paper, we investigated the possibility of using clustering analysis to identify the underlying structure of the data space for SSL. A cluster-then-label method was proposed to identify high-density regions in the data space which were then used to help a supervised SVM in finding the decision boundary. We have compared our method with other supervised and semi-supervised state-of-the-art techniques using two different classification tasks applied to breast pathology datasets. We found that compared with other state-of-the-art supervised and semi-supervised methods, our SSL method is able to improve classification performance when a limited number of labeled data instances are made available. We also showed that it is important to examine the underlying distribution of the data space before applying SSL techniques to ensure semi-supervised learning assumptions are not violated by the data.
Processes that Inform Multicultural Supervision: A Qualitative Meta-Analysis.
Tohidian, Nilou B; Quek, Karen Mui-Teng
2017-10-01
As the fields of counseling and psychotherapy have become more cognizant that individuals, couples, and families bring with them a myriad of diversity factors into therapy, multicultural competency has also become a crucial component in the development of clinicians during clinical supervision and training. We employed a qualitative meta-analysis to provide a detailed and comprehensive description of similar themes identified in primary qualitative studies that have investigated supervisory practices with an emphasis on diversity. Findings revealed six meta-categories, namely: (a) Supervisor's Multicultural Stances; (b) Supervisee's Multicultural Encounters; (c) Competency-Based Content in Supervision; (d) Processes Surrounding Multicultural Supervision; (e) Culturally Attuned Interventions; and (f) Multicultural Supervisory Alliance. Implications for practice are discussed. © 2017 American Association for Marriage and Family Therapy.
Onder, Devrim; Sarioglu, Sulen; Karacali, Bilge
2013-04-01
Quasi-supervised learning is a statistical learning algorithm that contrasts two datasets by computing estimate for the posterior probability of each sample in either dataset. This method has not been applied to histopathological images before. The purpose of this study is to evaluate the performance of the method to identify colorectal tissues with or without adenocarcinoma. Light microscopic digital images from histopathological sections were obtained from 30 colorectal radical surgery materials including adenocarcinoma and non-neoplastic regions. The texture features were extracted by using local histograms and co-occurrence matrices. The quasi-supervised learning algorithm operates on two datasets, one containing samples of normal tissues labelled only indirectly, and the other containing an unlabeled collection of samples of both normal and cancer tissues. As such, the algorithm eliminates the need for manually labelled samples of normal and cancer tissues for conventional supervised learning and significantly reduces the expert intervention. Several texture feature vector datasets corresponding to different extraction parameters were tested within the proposed framework. The Independent Component Analysis dimensionality reduction approach was also identified as the one improving the labelling performance evaluated in this series. In this series, the proposed method was applied to the dataset of 22,080 vectors with reduced dimensionality 119 from 132. Regions containing cancer tissue could be identified accurately having false and true positive rates up to 19% and 88% respectively without using manually labelled ground-truth datasets in a quasi-supervised strategy. The resulting labelling performances were compared to that of a conventional powerful supervised classifier using manually labelled ground-truth data. The supervised classifier results were calculated as 3.5% and 95% for the same case. The results in this series in comparison with the benchmark classifier, suggest that quasi-supervised image texture labelling may be a useful method in the analysis and classification of pathological slides but further study is required to improve the results. Copyright © 2013 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Haining, Wang; Lei, Wang; Qian, Zhang; Zongqiang, Zheng; Hongyu, Zhou; Chuncheng, Gao
2018-03-01
For the uncertain problems in the comprehensive evaluation of supervision risk in electricity transaction, this paper uses the unidentified rational numbers to evaluation the supervision risk, to obtain the possible result and corresponding credibility of evaluation and realize the quantification of risk indexes. The model can draw the risk degree of various indexes, which makes it easier for the electricity transaction supervisors to identify the transaction risk and determine the risk level, assisting the decision-making and realizing the effective supervision of the risk. The results of the case analysis verify the effectiveness of the model.
The complexities of power in feminist multicultural psychotherapy supervision.
Arczynski, Alexis V; Morrow, Susan L
2017-03-01
The goal of the present study was to understand how current feminist multicultural supervisors understand and implement their feminist multicultural principles into clinical supervision. We addressed this aim by answering the following research question: How do self-identified feminist multicultural psychotherapy supervisors conceptualize and practice feminist supervision that is explicitly multicultural? The perspectives of 14 participant supervisors were obtained by using semistructured initial interviews, follow-up interviews, and feedback interviews and were investigated via a feminist constructivist grounded theory design and analysis. Most participants identified as counseling psychologists (n = 12), women (n = 11) and temporarily able-bodied (n = 11); but they identified with diverse racial/ethnic, sexual, spiritual/religious, generational, and nationality statuses. A 7-category empirical framework emerged that explained how the participants anticipated and managed power in supervision. The core category, the complexities of power in supervision, explained how participants conceptualized power in supervisory relationships. The 6 remaining categories were bringing history into the supervision room, creating trust through openness and honesty, using a collaborative process, meeting shifting developmental (a)symmetries, cultivating critical reflexivity, and looking at and counterbalancing the impact of context. Limitations of the study, implications for research, and suggestions to use the theoretical framework to transform supervisory practice and training are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Simpson-Southward, Chloe; Waller, Glenn; Hardy, Gillian E
2017-11-01
Clinical supervision for psychotherapies is widely used in clinical and research contexts. Supervision is often assumed to ensure therapy adherence and positive client outcomes, but there is little empirical research to support this contention. Regardless, there are numerous supervision models, but it is not known how consistent their recommendations are. This review aimed to identify which aspects of supervision are consistent across models, and which are not. A content analysis of 52 models revealed 71 supervisory elements. Models focus more on supervisee learning and/or development (88.46%), but less on emotional aspects of work (61.54%) or managerial or ethical responsibilities (57.69%). Most models focused on the supervisee (94.23%) and supervisor (80.77%), rather than the client (48.08%) or monitoring client outcomes (13.46%). Finally, none of the models were clearly or adequately empirically based. Although we might expect clinical supervision to contribute to positive client outcomes, the existing models have limited client focus and are inconsistent. Therefore, it is not currently recommended that one should assume that the use of such models will ensure consistent clinician practice or positive therapeutic outcomes. There is little evidence for the effectiveness of supervision. There is a lack of consistency in supervision models. Services need to assess whether supervision is effective for practitioners and patients. Copyright © 2017 John Wiley & Sons, Ltd.
Martin, Priya; Kumar, Saravana; Lizarondo, Lucylynn; VanErp, Ans
2015-09-24
Health professionals practising in countries with dispersed populations such as Australia rely on clinical supervision for professional support. While there are directives and guidelines in place to govern clinical supervision, little is known about how it is actually conducted and what makes it effective. The purpose of this study was to explore the enablers of and barriers to high quality clinical supervision among occupational therapists across Queensland in Australia. This qualitative study took place as part of a broader project. Individual, in-depth, semi-structured interviews were conducted with occupational therapy supervisees in Queensland. The interviews explored the enablers of and barriers to high quality clinical supervision in this group. They further explored some findings from the initial quantitative study. Content analysis of the interview data resulted in eight themes. These themes were broadly around the importance of the supervisory relationship, the impact of clinical supervision and the enablers of and barriers to high quality clinical supervision. This study identified a number of factors that were perceived to be associated with high quality clinical supervision. Supervisor-supervisee matching and fit, supervisory relationship and availability of supervisor for support in between clinical supervision sessions appeared to be associated with perceptions of higher quality of clinical supervision received. Some face-to-face contact augmented with telesupervision was found to improve perceptions of the quality of clinical supervision received via telephone. Lastly, dual roles where clinical supervision and line management were provided by the same person were not considered desirable by supervisees. A number of enablers of and barriers to high quality clinical supervision were also identified. With clinical supervision gaining increasing prominence as part of organisational and professional governance, this study provides important lessons for successful and sustainable clinical supervision in practice contexts.
Using Insider Research in MEd Final Projects to Bridge the Theory/Practice Gap
ERIC Educational Resources Information Center
Arar, Khalid
2018-01-01
This paper aims to identify key issues involved in MEd final project supervision and to highlight the potential of supervision from an academic institution to change educational reality through the postgraduate student-teachers' work-based final project as insider researchers in Israeli schools. It draws on analysis of case-study data from two…
A semi-supervised classification algorithm using the TAD-derived background as training data
NASA Astrophysics Data System (ADS)
Fan, Lei; Ambeau, Brittany; Messinger, David W.
2013-05-01
In general, spectral image classification algorithms fall into one of two categories: supervised and unsupervised. In unsupervised approaches, the algorithm automatically identifies clusters in the data without a priori information about those clusters (except perhaps the expected number of them). Supervised approaches require an analyst to identify training data to learn the characteristics of the clusters such that they can then classify all other pixels into one of the pre-defined groups. The classification algorithm presented here is a semi-supervised approach based on the Topological Anomaly Detection (TAD) algorithm. The TAD algorithm defines background components based on a mutual k-Nearest Neighbor graph model of the data, along with a spectral connected components analysis. Here, the largest components produced by TAD are used as regions of interest (ROI's),or training data for a supervised classification scheme. By combining those ROI's with a Gaussian Maximum Likelihood (GML) or a Minimum Distance to the Mean (MDM) algorithm, we are able to achieve a semi supervised classification method. We test this classification algorithm against data collected by the HyMAP sensor over the Cooke City, MT area and University of Pavia scene.
Clinical group supervision for integrating ethical reasoning: Views from students and supervisors.
Blomberg, Karin; Bisholt, Birgitta
2016-11-01
Clinical group supervision has existed for over 20 years in nursing. However, there is a lack of studies about the role of supervision in nursing students' education and especially the focus on ethical reasoning. The aim of this study was to explore and describe nursing students' ethical reasoning and their supervisors' experiences related to participation in clinical group supervision. The study is a qualitative interview study with interpretative description as an analysis approach. A total of 17 interviews were conducted with nursing students (n = 12) who had participated in clinical group supervision in their first year of nursing education, and with their supervisors (n = 5). The study was based on the ethical principles outlined in the Declaration of Helsinki, and permission was obtained from the Regional Ethical Review Board in Sweden. The analysis revealed that both the form and content of clinical group supervision stimulated reflection and discussion of handling of situations with ethical aspects. Unethical situations were identified, and the process uncovered underlying caring actions. Clinical group supervision is a model that can be used in nursing education to train ethical reflection and to develop an ethical competence among nursing students. Outcomes from the model could also improve nursing education itself, as well as healthcare organizations, in terms of reducing moral blindness and unethical nursing practice. © The Author(s) 2015.
Liang, Yong; Chai, Hua; Liu, Xiao-Ying; Xu, Zong-Ben; Zhang, Hai; Leung, Kwong-Sak
2016-03-01
One of the most important objectives of the clinical cancer research is to diagnose cancer more accurately based on the patients' gene expression profiles. Both Cox proportional hazards model (Cox) and accelerated failure time model (AFT) have been widely adopted to the high risk and low risk classification or survival time prediction for the patients' clinical treatment. Nevertheless, two main dilemmas limit the accuracy of these prediction methods. One is that the small sample size and censored data remain a bottleneck for training robust and accurate Cox classification model. In addition to that, similar phenotype tumours and prognoses are actually completely different diseases at the genotype and molecular level. Thus, the utility of the AFT model for the survival time prediction is limited when such biological differences of the diseases have not been previously identified. To try to overcome these two main dilemmas, we proposed a novel semi-supervised learning method based on the Cox and AFT models to accurately predict the treatment risk and the survival time of the patients. Moreover, we adopted the efficient L1/2 regularization approach in the semi-supervised learning method to select the relevant genes, which are significantly associated with the disease. The results of the simulation experiments show that the semi-supervised learning model can significant improve the predictive performance of Cox and AFT models in survival analysis. The proposed procedures have been successfully applied to four real microarray gene expression and artificial evaluation datasets. The advantages of our proposed semi-supervised learning method include: 1) significantly increase the available training samples from censored data; 2) high capability for identifying the survival risk classes of patient in Cox model; 3) high predictive accuracy for patients' survival time in AFT model; 4) strong capability of the relevant biomarker selection. Consequently, our proposed semi-supervised learning model is one more appropriate tool for survival analysis in clinical cancer research.
Schriver, Michael; Cubaka, Vincent Kalumire; Vedsted, Peter; Besigye, Innocent; Kallestrup, Per
2018-01-01
External supervision of primary health care facilities to monitor and improve services is common in low-income countries. Currently there are no tools to measure the quality of support in external supervision in these countries. To develop a provider-reported instrument to assess the support delivered through external supervision in Rwanda and other countries. "External supervision: Provider Evaluation of Supervisor Support" (ExPRESS) was developed in 18 steps, primarily in Rwanda. Content validity was optimised using systematic search for related instruments, interviews, translations, and relevance assessments by international supervision experts as well as local experts in Nigeria, Kenya, Uganda and Rwanda. Construct validity and reliability were examined in two separate field tests, the first using exploratory factor analysis and a test-retest design, the second for confirmatory factor analysis. We included 16 items in section A ('The most recent experience with an external supervisor'), and 13 items in section B ('The overall experience with external supervisors'). Item-content validity index was acceptable. In field test I, test-retest had acceptable kappa values and exploratory factor analysis suggested relevant factors in sections A and B used for model hypotheses. In field test II, models were tested by confirmatory factor analysis fitting a 4-factor model for section A, and a 3-factor model for section B. ExPRESS is a promising tool for evaluation of the quality of support of primary health care providers in external supervision of primary health care facilities in resource-constrained settings. ExPRESS may be used as specific feedback to external supervisors to help identify and address gaps in the supervision they provide. Further studies should determine optimal interpretation of scores and the number of respondents needed per supervisor to obtain precise results, as well as test the functionality of section B.
Carlin, Charles H.; Boarman, Katie; Carlin, Emily; Inselmann, Karissa
2013-01-01
In the present feasibility study, e-supervision was used to provide university liaison supervision to speech-language pathology (SLP) graduate students enrolled in student teaching practica. Utilizing a mixed methodology approach, interview and survey data were compared in order to identify similarities and differences between in-person and e-supervision, and guide future practice. Results showed e-supervised graduate students perceived that they received adequate supervision, feedback, support, and communication. Further, e-supervision provided additional benefits to supervisors, children on the caseload, and universities. Despite the benefits, disadvantages emerged. Implications for future practice and limitations of the study were identified. PMID:25945215
Hashimoto, Shinichi; Ogihara, Hiroyuki; Suenaga, Masato; Fujita, Yusuke; Terai, Shuji; Hamamoto, Yoshihiko; Sakaida, Isao
2017-08-01
Visibility in capsule endoscopic images is presently evaluated through intermittent analysis of frames selected by a physician. It is thus subjective and not quantitative. A method to automatically quantify the visibility on capsule endoscopic images has not been reported. Generally, when designing automated image recognition programs, physicians must provide a training image; this process is called supervised learning. We aimed to develop a novel automated self-learning quantification system to identify visible areas on capsule endoscopic images. The technique was developed using 200 capsule endoscopic images retrospectively selected from each of three patients. The rate of detection of visible areas on capsule endoscopic images between a supervised learning program, using training images labeled by a physician, and our novel automated self-learning program, using unlabeled training images without intervention by a physician, was compared. The rate of detection of visible areas was equivalent for the supervised learning program and for our automatic self-learning program. The visible areas automatically identified by self-learning program correlated to the areas identified by an experienced physician. We developed a novel self-learning automated program to identify visible areas in capsule endoscopic images.
Semi-supervised prediction of gene regulatory networks using machine learning algorithms.
Patel, Nihir; Wang, Jason T L
2015-10-01
Use of computational methods to predict gene regulatory networks (GRNs) from gene expression data is a challenging task. Many studies have been conducted using unsupervised methods to fulfill the task; however, such methods usually yield low prediction accuracies due to the lack of training data. In this article, we propose semi-supervised methods for GRN prediction by utilizing two machine learning algorithms, namely, support vector machines (SVM) and random forests (RF). The semi-supervised methods make use of unlabelled data for training. We investigated inductive and transductive learning approaches, both of which adopt an iterative procedure to obtain reliable negative training data from the unlabelled data. We then applied our semi-supervised methods to gene expression data of Escherichia coli and Saccharomyces cerevisiae, and evaluated the performance of our methods using the expression data. Our analysis indicated that the transductive learning approach outperformed the inductive learning approach for both organisms. However, there was no conclusive difference identified in the performance of SVM and RF. Experimental results also showed that the proposed semi-supervised methods performed better than existing supervised methods for both organisms.
Supervision Experiences of Professional Counselors Providing Crisis Counseling
ERIC Educational Resources Information Center
Dupre, Madeleine; Echterling, Lennis G.; Meixner, Cara; Anderson, Robin; Kielty, Michele
2014-01-01
In this phenomenological study, the authors explored supervision experiences of 13 licensed professional counselors in situations requiring crisis counseling. Five themes concerning crisis and supervision were identified from individual interviews. Findings support intensive, immediate crisis supervision and postlicensure clinical supervision.
Critical components of reflective supervision: responses from expert supervisors in the field.
Tomlin, Angela M; Weatherston, Deborah J; Pavkov, Thomas
2014-01-01
This article offers a brief review of the history of supervision, defines reflective supervision, and reports the results of a Delphi study designed to identify critical components of reflective supervision. Academicians and master clinicians skilled in providing reflective supervision participated in a three-phase survey to elicit beliefs about best practice when engaging in reflective supervision. The process yielded consensus descriptions of optimal characteristics and behaviors of supervisors and supervisees when entering into supervisory relationships that encourage reflective practice. These results, although preliminary, suggest that it is possible to identify elements that are integral to effective reflective supervision. These initial findings may be used for future study of the reflective supervisory process. © 2013 Michigan Association for Infant Mental Health.
A break-even analysis of optimum faculty assignment for ambulatory primary care training.
Xakellis, G C; Gjerde, C L; Xakellis, M G; Klitgaard, D
1996-12-01
The increased demand that faculty teach residents in ambulatory clinics necessitates the development of ambulatory care teaching models that are both educationally effective and financially viable. This study was designed to identify the resident-to-faculty ratios needed to provide financially viable faculty supervision of residents while maintaining acceptable resident waiting times for teaching. A computer simulation was developed to estimate the number of residents one or two faculty teachers could supervise in a university-based primary care teaching clinic. The number of residents was calculated for three waiting-time constraints and three scenarios of faculty tasks. A financial analysis of each model was performed. With no non-teaching tasks, two teachers were able to supervise 11 residents and keep waiting times under two minutes, while one teacher was able to supervise only three residents with this waiting-time constraint. The financial break-even point was achieved by all of the two-teacher models, but by none of the one-teacher models. In all three scenarios, using two teachers resulted in more than double the number of residents supervised and in higher utilization of faculty time (higher productivity) than did using one teacher. The two-teacher models of ambulatory supervision allowed for sufficient numbers of residents to be supervised so that teaching costs could be covered from patient care revenues; the one-teacher models did not break even financially. These simulations offer a viable option for academic institutions that are struggling to maintain teaching quality in the face of financial constraints.
Pitkänen, Salla; Kääriäinen, Maria; Oikarainen, Ashlee; Tuomikoski, Anna-Maria; Elo, Satu; Ruotsalainen, Heidi; Saarikoski, Mikko; Kärsämänoja, Taina; Mikkonen, Kristina
2018-03-01
The purpose of clinical placements and supervision is to promote the development of healthcare students´ professional skills. High-quality clinical learning environments and supervision were shown to have significant influence on healthcare students´ professional development. This study aimed to describe healthcare students` evaluation of the clinical learning environment and supervision, and to identify the factors that affect these. The study was performed as a cross-sectional study. The data (n = 1973) were gathered through an online survey using the Clinical Learning Environment, Supervision and Nurse Teacher scale during the academic year 2015-2016 from all healthcare students (N = 2500) who completed their clinical placement at a certain university hospital in Finland. The data were analysed using descriptive statistics and binary logistic regression analysis. More than half of the healthcare students had a named supervisor and supervision was completed as planned. The students evaluated the clinical learning environment and supervision as 'good'. The students´ readiness to recommend the unit to other students and the frequency of separate private unscheduled sessions with the supervisor were the main factors that affect healthcare students` evaluation of the clinical learning environment and supervision. Individualized and goal-oriented supervision in which the student had a named supervisor and where supervision was completed as planned in a positive environment that supported learning had a significant impact on student's learning. The clinical learning environment and supervision support the development of future healthcare professionals' clinical competence. The supervisory relationship was shown to have a significant effect on the outcomes of students' experiences. We recommend the planning of educational programmes for supervisors of healthcare students for the enhancement of supervisors' pedagogical competencies in supervising students in the clinical practice. Copyright © 2018 Elsevier Ltd. All rights reserved.
Martin, Priya; Lizarondo, Lucylynn; Kumar, Saravana
2018-05-01
Introduction Whilst telesupervision (clinical supervision undertaken using communication technology) is being used more frequently, there is limited information on what factors influence its effectiveness and quality. We undertook this systematic review to address this gap. Methods Eligible telesupervision studies were identified following targeted search of electronic databases and the grey literature. Data were synthesised thematically, resulting in development of core themes. Results We identified 286 papers for initial relevancy screening by title and abstract. The full text of 36 papers were then retrieved and assessed for further relevance. A total of 11 papers were included in the final analysis. We identified eight themes that contribute to effective and high-quality telesupervision: supervisee characteristics, supervisor characteristics, supervision characteristics, supervisory relationship, communication strategies, prior face-to-face contact, environmental factors and technological considerations. Conclusion From the available evidence, telesupervision can be a feasible and acceptable form of clinical supervision if set up well. Further studies with robust designs are required to strengthen the existing evidence on what makes telesupervision effective, as well as to examine its cost-effectiveness.
Walton, Merrilyn; Harrison, Reema; Burgess, Annette; Foster, Kirsty
2015-10-01
Preventable harm is one of the top six health problems in the developed world. Developing patient safety skills and knowledge among advanced trainee doctors is critical. Clinical supervision is the main form of training for advanced trainees. The use of supervision to develop patient safety competence has not been established. To establish the use of clinical supervision and other workplace training to develop non-technical patient safety competency in advanced trainee doctors. Keywords, synonyms and subject headings were used to search eight electronic databases in addition to hand-searching of relevant journals up to 1 March 2014. Titles and abstracts of retrieved publications were screened by two reviewers and checked by a third. Full-text articles were screened against the eligibility criteria. Data on design, methods and key findings were extracted. Clinical supervision documents were assessed against components common to established patient safety frameworks. Findings from the reviewed articles and document analysis were collated in a narrative synthesis. Clinical supervision is not identified as an avenue for embedding patient safety skills in the workplace and is consequently not evaluated as a method to teach trainees these skills. Workplace training in non-technical patient safety skills is limited, but one-off training courses are sometimes used. Clinical supervision is the primary avenue for learning in postgraduate medical education but the most overlooked in the context of patient safety learning. The widespread implementation of short courses is not matched by evidence of rigorous evaluation. Supporting supervisors to identify teaching moments during supervision and to give weight to non-technical skills and technical skills equally is critical. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
2013-01-01
Background Mental health professionals face unique demands and stressors in their work, resulting in high rates of burnout and distress. Clinical supervision is a widely adopted and valued mechanism of professional support, development, and accountability, despite the very limited evidence of specific impacts on therapist or client outcomes. The current study aims to address this by exploring how psychotherapists develop competence through clinical supervision and what impact this has on the supervisees’ practice and their clients’ outcomes. This paper provides a rationale for the study and describes the protocol for an in-depth qualitative study of supervisory dyads, highlighting how it addresses gaps in the literature. Methods/Design The study of 16–20 supervisor-supervisee dyads uses a qualitative mixed method design, with two phases. In phase one, supervisors who are nominated as expert by their peers are interviewed about their supervision practice. In phase two, supervisors record a supervision session with a consenting supervisee; interpersonal process recall interviews are conducted separately with supervisor and supervisee to reflect in depth on the teaching and learning processes occurring. All interviews will be transcribed, coded and analysed to identify the processes that build competence, using a modified form of Consensual Qualitative Research (CQR) strategies. Using a theory-building case study method, data from both phases of the study will be integrated to develop a model describing the processes that build competence and support wellbeing in practising psychotherapists, reflecting the accumulated wisdom of the expert supervisors. Discussion The study addresses past study limitations by examining expert supervisors and their supervisory interactions, by reflecting on actual supervision sessions, and by using dyadic analysis of the supervisory pairs. The study findings will inform the development of future supervision training and practice and identify fruitful avenues for future research. PMID:23298408
Ray, Robin; Sabesan, Sabe
2015-01-01
Objectives Telemedicine has revolutionised the ability to provide care to patients, relieve professional isolation and provide guidance and supervision to junior medical officers in rural areas. This study evaluated the Townsville teleoncology supervision model for the training of junior medical officers in rural areas of North Queensland, Australia. Specifically, the perspectives of junior and senior medical officers were explored to identify recommendations for future implementation. Design A qualitative approach incorporating observation and semistructured interviews was used to collect data. Interviews were uploaded into NVivo 10 data management software. Template analysis enabled themes to be tested and developed through consensus between researchers. Setting One tertiary level and four secondary level healthcare centres in rural and regional Queensland, Australia. Participants 10 junior medical officers (Interns, Registrars) and 10 senior medical officers (Senior Medical Officers, Consultants) who participated in the Townsville teleoncology model of remote supervision via videoconference (TTMRS) were included in the study. Primary and Secondary outcome measures Perspectives on the telemedicine experience, technology, engagement, professional support, satisfaction and limitations were examined. Perspectives on topics raised by participants were also examined as the interviews progressed. Results Four major themes with several subthemes emerged from the data: learning environment, beginning the learning relationship, stimulus for learning and practicalities of remote supervision via videoconference. While some themes were consistent with the current literature, new themes like increased professional edge, recognising non-verbal cues and physical examination challenges were identified. Conclusions Remote supervision via videoconference provides readily available guidance to trainees supporting their delivery of appropriate care to patients. However, resources required for upskilling, training in the use of supervision via videoconference, administration issues and nursing support, as well as physical barriers to examinations, must be addressed to enable more efficient implementation. PMID:25795687
Schofield, Margot J; Grant, Jan
2013-01-08
Mental health professionals face unique demands and stressors in their work, resulting in high rates of burnout and distress. Clinical supervision is a widely adopted and valued mechanism of professional support, development, and accountability, despite the very limited evidence of specific impacts on therapist or client outcomes. The current study aims to address this by exploring how psychotherapists develop competence through clinical supervision and what impact this has on the supervisees' practice and their clients' outcomes. This paper provides a rationale for the study and describes the protocol for an in-depth qualitative study of supervisory dyads, highlighting how it addresses gaps in the literature. The study of 16-20 supervisor-supervisee dyads uses a qualitative mixed method design, with two phases. In phase one, supervisors who are nominated as expert by their peers are interviewed about their supervision practice. In phase two, supervisors record a supervision session with a consenting supervisee; interpersonal process recall interviews are conducted separately with supervisor and supervisee to reflect in depth on the teaching and learning processes occurring. All interviews will be transcribed, coded and analysed to identify the processes that build competence, using a modified form of Consensual Qualitative Research (CQR) strategies. Using a theory-building case study method, data from both phases of the study will be integrated to develop a model describing the processes that build competence and support wellbeing in practising psychotherapists, reflecting the accumulated wisdom of the expert supervisors. The study addresses past study limitations by examining expert supervisors and their supervisory interactions, by reflecting on actual supervision sessions, and by using dyadic analysis of the supervisory pairs. The study findings will inform the development of future supervision training and practice and identify fruitful avenues for future research.
How Multiple Interventions Influenced Employee Turnover: A Case Study.
ERIC Educational Resources Information Center
Hatcher, Timothy
1999-01-01
A 3-year study of 46 textile industry workers identified causes of employee turnover (supervision, training, organizational communication) using performance analysis. A study of multiple interventions based on the analysis resulted in changes in orientation procedures, organizational leadership, and climate, reducing turnover by 24%. (SK)
Clinical supervision for allied health staff: necessary but not sufficient.
Leggat, Sandra G; Phillips, Bev; Pearce, Philippa; Dawson, Margaret; Schulz, Debbie; Smith, Jenni
2016-09-01
Objectives The aim of the present study was to explore the perspectives of allied health professionals on appropriate content for effective clinical supervision of staff. Methods A set of statements regarding clinical supervision was identified from the literature and confirmed through a Q-sort process. The final set was administered as an online survey to 437 allied health professionals working in two Australian health services. Results Of the 120 respondents, 82 had experienced six or more clinical supervision sessions and were included in the analysis. Respondents suggested that clinical supervision was beneficial to both staff and patients, and was distinct from line management performance monitoring and development. Curiously, some of the respondents did not agree that observation of the supervisee's clinical practice was an aspect of clinical supervision. Conclusions Although clinical supervision is included as a pillar of clinical governance, current practice may not be effective in addressing clinical risk. Australian health services need clear organisational policies that outline the relationship between supervisor and supervisee, the role and responsibilities of managers, the involvement of patients and the types of situations to be communicated to the line managers. What is known about the topic? Clinical supervision for allied health professionals is an essential component of clinical governance and is aimed at ensuring safe and high-quality care. However, there is varied understanding of the relationship between clinical supervision and performance management. What does this paper add? This paper provides the perspectives of allied health professionals who are experienced as supervisors or who have experienced supervision. The findings suggest a clear role for clinical supervision that needs to be better recognised within organisational policy and procedure. What are the implications for practitioners? Supervisors and supervisees must remember their duty of care and ensure compliance with organisational policies in their clinical supervisory practices.
Zhang, Jiang; Liu, Qi; Chen, Huafu; Yuan, Zhen; Huang, Jin; Deng, Lihua; Lu, Fengmei; Zhang, Junpeng; Wang, Yuqing; Wang, Mingwen; Chen, Liangyin
2015-01-01
Clustering analysis methods have been widely applied to identifying the functional brain networks of a multitask paradigm. However, the previously used clustering analysis techniques are computationally expensive and thus impractical for clinical applications. In this study a novel method, called SOM-SAPC that combines self-organizing mapping (SOM) and supervised affinity propagation clustering (SAPC), is proposed and implemented to identify the motor execution (ME) and motor imagery (MI) networks. In SOM-SAPC, SOM was first performed to process fMRI data and SAPC is further utilized for clustering the patterns of functional networks. As a result, SOM-SAPC is able to significantly reduce the computational cost for brain network analysis. Simulation and clinical tests involving ME and MI were conducted based on SOM-SAPC, and the analysis results indicated that functional brain networks were clearly identified with different response patterns and reduced computational cost. In particular, three activation clusters were clearly revealed, which include parts of the visual, ME and MI functional networks. These findings validated that SOM-SAPC is an effective and robust method to analyze the fMRI data with multitasks.
Martin, Priya; Kumar, Saravana; Burge, Vanessa; Abernathy, LuJuana
2015-01-01
Abstract Objective Improving the quality and safety of health care in Australia is imperative to ensure the right treatment is delivered to the right person at the right time. Achieving this requires appropriate clinical governance and support for health professionals, including professional supervision. This study investigates the usefulness and effectiveness of and barriers to supervision in rural and remote Queensland. Design As part of the evaluation of the Allied Health Rural and Remote Training and Support program, a qualitative descriptive study was conducted involving semi‐structured interviews with 42 rural or remote allied health professionals, nine operational managers and four supervisors. The interviews explored perspectives on their supervision arrangements, including the perceived usefulness, effect on practice and barriers. Results Themes of reduced isolation; enhanced professional enthusiasm, growth and commitment to the organisation; enhanced clinical skills, knowledge and confidence; and enhanced patient safety were identified as perceived outcomes of professional supervision. Time, technology and organisational factors were identified as potential facilitators as well as potential barriers to effective supervision. Conclusions This research provides current evidence on the impact of professional supervision in rural and remote Queensland. A multidimensional model of organisational factors associated with effective supervision in rural and remote settings is proposed identifying positive supervision culture and a good supervisor–supervisee fit as key factors associated with effective arrangements. PMID:26052949
"Unscrambling what's in your head": A mixed method evaluation of clinical supervision for midwives.
Love, Bev; Sidebotham, Mary; Fenwick, Jennifer; Harvey, Susan; Fairbrother, Greg
2017-08-01
As a strategy to promote workforce sustainability a number of midwives working in one health district in New South Wales, Australia were trained to offer a reflective model of clinical supervision. The expectation was that these midwives would then be equipped to facilitate clinical supervision for their colleagues with the organisational aim of supporting professional development and promoting emotional well-being. To identify understanding, uptake, perceptions of impact, and the experiences of midwives accessing clinical supervision. Mixed Methods. In phase one 225 midwives were invited to complete a self-administered survey. Descriptive and inferential statistics were used to analyse the data. In phase two 12 midwives were interviewed. Thematic analysis was used to deepen understanding of midwives' experiences of receiving clinical supervision. Sixty percent of midwives responding in phase one had some experience of clinical supervision. Findings from both phases were complementary with midwives reporting a positive impact on their work, interpersonal skills, situational responses and career goals. Midwives described clinical supervision as a formal, structured and confidential space for 'safe reflection' that was valued as an opportunity for self-care. Barriers included misconceptions, perceived work related pressures and a sense that taking time out was unjustifiable. Education, awareness raising and further research into reflective clinical supervision, to support emotional well-being and professional midwifery practice is needed. In addition, health organisations need to design, implement and evaluate strategies that support the embedding of clinical supervision within midwives' clinical practice. Copyright © 2016 Australian College of Midwives. Published by Elsevier Ltd. All rights reserved.
Newton, Louise; Pront, Leeanne; Giles, Tracey M
2016-06-01
To examine the literature reporting the experiences and perceptions of registered nurses who supervise international nursing students in the clinical and classroom setting. Nursing education relies on clinical experts to supervise students during classroom and clinical education, and the quality of that supervision has a significant impact on student development and learning. Global migration and internationalisation of nursing education have led to increasing numbers of registered nurses supervising international nursing students. However, a paucity of relevant literature limits our understanding of these experiences. An integrative literature review. Comprehensive database searches of CINAHL, Informit, PubMed, Journals@Ovid, Findit@flinders and Medline were undertaken. Screening of 179 articles resulted in 10 included for review. Appraisal and analysis using Whittemore and Knafl's (Journal of Advanced Nursing, 52, 2005, 546) five stage integrative review recommendations was undertaken. This review highlighted some unique challenges for registered nurses supervising international nursing students. Identified issues were, a heightened sense of responsibility, additional pastoral care challenges, considerable time investments, communication challenges and cultural differences between teaching and learning styles. It is possible that these unique challenges could be minimised by implementing role preparation programmes specific to international nursing student supervision. Further research is needed to provide an in-depth exploration of current levels of preparation and support to make recommendations for future practice, education and policy development. An awareness of the specific cultural learning needs of international nursing students is an important first step to the provision of culturally competent supervision for this cohort of students. There is an urgent need for education and role preparation for all registered nurses supervising international nursing students, along with adequate recognition of the additional time required to effectively supervise these students. © 2016 John Wiley & Sons Ltd.
Martin, Priya; Kumar, Saravana; Lizarondo, Lucylynn; Tyack, Zephanie
2016-10-01
Clinical supervision is important for effective health service delivery, professional development and practice. Despite its importance there is a lack of evidence regarding the factors that improve its quality. This study aimed to investigate the factors that influence the quality of clinical supervision of occupational therapists employed in a large public sector health service covering mental health, paediatrics, adult physical and other practice areas. A mixed method, sequential explanatory study design was used consisting of two phases. This article reports the quantitative phase (Phase One) which involved administration of the Manchester Clinical Supervision Scale (MCSS-26) to 207 occupational therapists. Frequency of supervision sessions, choice of supervisor and the type of supervision were found to be the predictor variables with a positive and significant influence on the quality of clinical supervision. Factors such as age, length of supervision and the area of practice were found to be the predictor variables with a negative and significant influence on the quality of clinical supervision. Factors that influence the perceived quality of clinical supervision among occupational therapists have been identified. High quality clinical supervision is an important component of clinical governance and has been shown to be beneficial to practitioners, patients and the organisation. Information on factors that make clinical supervision effective identified in this study can be added to existing supervision training and practices to improve the quality of clinical supervision. © 2016 Occupational Therapy Australia.
Identifying Challenges in Supervising School Psychologists
ERIC Educational Resources Information Center
Harvey, Virginia Smith; Pearrow, Melissa
2010-01-01
Previous studies suggest that the majority of school psychologists do not believe they receive sufficient supervision, despite a growing body of research providing empirical support for supervision to maintain and improve skills. This study explores the dynamics underlying the challenges of providing adequate supervision to school psychologists.…
Ducat, Wendy; Martin, Priya; Kumar, Saravana; Burge, Vanessa; Abernathy, LuJuana
2016-02-01
Improving the quality and safety of health care in Australia is imperative to ensure the right treatment is delivered to the right person at the right time. Achieving this requires appropriate clinical governance and support for health professionals, including professional supervision. This study investigates the usefulness and effectiveness of and barriers to supervision in rural and remote Queensland. As part of the evaluation of the Allied Health Rural and Remote Training and Support program, a qualitative descriptive study was conducted involving semi-structured interviews with 42 rural or remote allied health professionals, nine operational managers and four supervisors. The interviews explored perspectives on their supervision arrangements, including the perceived usefulness, effect on practice and barriers. Themes of reduced isolation; enhanced professional enthusiasm, growth and commitment to the organisation; enhanced clinical skills, knowledge and confidence; and enhanced patient safety were identified as perceived outcomes of professional supervision. Time, technology and organisational factors were identified as potential facilitators as well as potential barriers to effective supervision. This research provides current evidence on the impact of professional supervision in rural and remote Queensland. A multidimensional model of organisational factors associated with effective supervision in rural and remote settings is proposed identifying positive supervision culture and a good supervisor-supervisee fit as key factors associated with effective arrangements. © 2015 Commonwealth of Australia. Australian Journal of Rural Health published by Wiley Publishing Asia Pty Ltd. on behalf of National Rural Health Alliance Inc.
Trainees' use of supervision for therapy with sexual minority clients: A qualitative study.
Chui, Harold; McGann, Kevin J; Ziemer, Kathryn S; Hoffman, Mary Ann; Stahl, Jessica
2018-01-01
In the supervision literature, research on sexual orientation considerations often focuses on sexual minority supervisees and less often on their work with sexual minority clients. Yet both heterosexual and sexual minority supervisees serve sexual minority clients and may have different supervision needs. Twelve predoctoral interns from 12 APA-accredited counseling center internships were interviewed about how they made use of supervision for their work with a sexual minority client. The sample consisted of 6 heterosexual-identified supervisees and 6 supervisees who identified as lesbian, gay, or queer (LGQ). Data were analyzed using consensual qualitative research. All participants reported positive gains from supervision that carried over to their work with heterosexual and sexual minority clients, even when not all supervisors disclosed or discussed their own sexual orientation. Heterosexual supervisees used supervision to ensure that their heterosexuality does not interfere with an affirmative experience for their sexual minority client, whereas LGQ supervisees used supervision to explore differences in sexual identity development between themselves and their client to minimize the negative impact of overidentification. Thus, affirmative supervision may unfold with different foci depending on supervisees' sexual identity. Implications for training and supervision are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
9 CFR 590.418 - Supervision of marking and packaging.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 9 Animals and Animal Products 2 2013-01-01 2013-01-01 false Supervision of marking and packaging...) Identifying and Marking Product § 590.418 Supervision of marking and packaging. (a) Evidence of label approval... container except by an inspector or under the supervision of an inspector or other person authorized by the...
9 CFR 590.418 - Supervision of marking and packaging.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision of marking and packaging...) Identifying and Marking Product § 590.418 Supervision of marking and packaging. (a) Evidence of label approval... container except by an inspector or under the supervision of an inspector or other person authorized by the...
9 CFR 590.418 - Supervision of marking and packaging.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 9 Animals and Animal Products 2 2011-01-01 2011-01-01 false Supervision of marking and packaging...) Identifying and Marking Product § 590.418 Supervision of marking and packaging. (a) Evidence of label approval... container except by an inspector or under the supervision of an inspector or other person authorized by the...
9 CFR 590.418 - Supervision of marking and packaging.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 9 Animals and Animal Products 2 2014-01-01 2014-01-01 false Supervision of marking and packaging...) Identifying and Marking Product § 590.418 Supervision of marking and packaging. (a) Evidence of label approval... container except by an inspector or under the supervision of an inspector or other person authorized by the...
9 CFR 590.418 - Supervision of marking and packaging.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 9 Animals and Animal Products 2 2012-01-01 2012-01-01 false Supervision of marking and packaging...) Identifying and Marking Product § 590.418 Supervision of marking and packaging. (a) Evidence of label approval... container except by an inspector or under the supervision of an inspector or other person authorized by the...
Improving Supervision for Students at a Distance: Videoconferencing for Group Meetings
ERIC Educational Resources Information Center
Könings, Karen D.; Popa, Daniela; Gerken, Maike; Giesbers, Bas; Rienties, Bart C.; van der Vleuten, Cees P. M.; van Merriënboer, Jeroen J. G.
2016-01-01
Every year, thousands of students go abroad for part of their study programme. Supervision from the home institution is then crucial for good study progress. Providing supervision and feedback at a distance is challenging. This project aims to identify bottlenecks for supervision and hypothesises that online supervisory group meetings with…
Clinical supervision in the emergency department: a critical incident study
Kilroy, D A
2006-01-01
Objectives To identify the key features of effective clinical supervision in the emergency department (ED) from the perspectives of enthusiastic consultants and specialist registrars. To highlight the importance of clinical supervision within emergency medicine, and identify obstructions to its occurrence in everyday practice. Methods A critical incident study was undertaken consisting of structured interviews, conducted by telephone or in person, with 18 consultants and higher level trainees selected for their interest in supervision. Results Direct clinical supervision of key practical skills and patient management steps was considered to be of paramount importance in providing quality patient care and significantly enhancing professional confidence. The adequacy of supervision varied depending upon patient presentation. Trainees were concerned with the competence and skills of their supervisor; consultants were concerned with wider systemic constraints upon the provision of adequate supervision to juniors. Conclusions The value of supervision extends to all patient presentations in the ED. The study raised questions concerning the appropriate attitudes and qualifications for supervisors. Protected supervisory time for those with trainees is mandatory, and must be incorporated within ED consultant job planning. PMID:16439737
Morrongiello, Barbara A; Zdzieborski, Daniel; Sandomierski, Megan; Lasenby-Lessard, Jennifer
2009-03-01
Recent research reveals that supervision can be a protective factor for childhood injury. Parents who closely supervise young children at home have children who experience fewer injuries. What is not known, however, is what messaging approaches (e.g., injury statistics, graphic images of injured children, personal testimonials by parents) are best to persuade parents to supervise more closely. Using video as the medium, the present focus group study of urban Canadian mothers explored their reactions to different formats and messages in order to: identify best practices to convince mothers that childhood injury prevention is important; determine how best to communicate messages about supervision to mothers; and identify what the nature and scope of these messages should be for motivating and empowering mothers to supervise closely. Results suggest that those who become aware of the scope of childhood injuries are motivated to pay attention to messaging about supervision, that such messages must be delivered with care so that parents do not feel guilty or blamed for acknowledging they could more closely supervise than they already are, that certain messages are not useful for encouraging closer supervision, and that both the content and presentation characteristics (images, accompanying sound) of messages are important determinants of effectiveness for motivating mothers to supervise more closely. Implications for developing interventions that effectively communicate information about child-injury risk and supervision to mothers are discussed.
Barriers impacting the utilization of supervision techniques in genetic counseling.
Masunga, Abigail; Wusik, Katie; He, Hua; Yager, Geoffrey; Atzinger, Carrie
2014-12-01
Clinical supervision is an essential element in training genetic counselors. Although live supervision has been identified as the most common supervision technique utilized in genetic counseling, there is limited information on factors influencing its use as well as the use of other techniques. The purpose of this study was to identify barriers supervisors face when implementing supervision techniques. All participants (N = 141) reported utilizing co-counseling. This was most used with novice students (96.1%) and intermediate students (93.7%). Other commonly used techniques included live supervision where the supervisor is silent during session (98.6%) which was used most frequently with advanced students (94.0%), and student self-report (64.7%) used most often with advanced students (61.2%). Though no barrier to these commonly used techniques was identified by a majority of participants, the most frequently reported barriers included time and concern about patient's welfare. The remaining supervision techniques (live remote observation, video, and audio recording) were each used by less than 10% of participants. Barriers that significantly influenced use of these techniques included lack of facilities/equipment and concern about patient reactions to technique. Understanding barriers to implementation of supervisory techniques may allow students to be efficiently trained in the future by reducing supervisor burnout and increasing the diversity of techniques used.
A Meta-analysis of universal mental health prevention programs for higher education students.
Conley, Colleen S; Durlak, Joseph A; Kirsch, Alexandra C
2015-05-01
This meta-analysis investigated the effectiveness of universal mental health prevention programs for higher education students on a range of adjustment outcomes. A systematic literature search identified 103 controlled published and unpublished interventions involving college, graduate, or professional students. As hypothesized, skill-training programs that included a supervised practice component were significantly more effective overall (mean effect size = 0.45, confidence interval (CI) = 0.39 to 0.52) compared to skill-training programs without supervised practice (0.11, CI = -0.01 to 0.22) and psychoeducational (information-only) programs (0.13, CI = 0.06 to 0.21). When comparisons on specific outcomes were possible, skill-training programs including supervised practice were significantly more effective than the other two groups of programs in reducing symptoms of depression, anxiety, stress, and general psychological distress, and in improving social-emotional skills, self-perceptions, and academic behaviors and performance. The magnitude of effects achieved in several outcome areas is comparable to or higher than that reported in other reviews of universal programs, suggesting that skill-training programs for higher education students that incorporate supervised practice now join the ranks of other effective preventive mental health interventions. This review offers several recommendations to improve the experimental rigor of future research.
Lacroix, André; Hortobágyi, Tibor; Beurskens, Rainer; Granacher, Urs
2017-11-01
Balance and resistance training can improve healthy older adults' balance and muscle strength. Delivering such exercise programs at home without supervision may facilitate participation for older adults because they do not have to leave their homes. To date, no systematic literature analysis has been conducted to determine if supervision affects the effectiveness of these programs to improve healthy older adults' balance and muscle strength/power. The objective of this systematic review and meta-analysis was to quantify the effectiveness of supervised vs. unsupervised balance and/or resistance training programs on measures of balance and muscle strength/power in healthy older adults. In addition, the impact of supervision on training-induced adaptive processes was evaluated in the form of dose-response relationships by analyzing randomized controlled trials that compared supervised with unsupervised trials. A computerized systematic literature search was performed in the electronic databases PubMed, Web of Science, and SportDiscus to detect articles examining the role of supervision in balance and/or resistance training in older adults. The initially identified 6041 articles were systematically screened. Studies were included if they examined balance and/or resistance training in adults aged ≥65 years with no relevant diseases and registered at least one behavioral balance (e.g., time during single leg stance) and/or muscle strength/power outcome (e.g., time for 5-Times-Chair-Rise-Test). Finally, 11 studies were eligible for inclusion in this meta-analysis. Weighted mean standardized mean differences between subjects (SMD bs ) of supervised vs. unsupervised balance/resistance training studies were calculated. The included studies were coded for the following variables: number of participants, sex, age, number and type of interventions, type of balance/strength tests, and change (%) from pre- to post-intervention values. Additionally, we coded training according to the following modalities: period, frequency, volume, modalities of supervision (i.e., number of supervised/unsupervised sessions within the supervised or unsupervised training groups, respectively). Heterogeneity was computed using I 2 and χ 2 statistics. The methodological quality of the included studies was evaluated using the Physiotherapy Evidence Database scale. Our analyses revealed that in older adults, supervised balance/resistance training was superior compared with unsupervised balance/resistance training in improving measures of static steady-state balance (mean SMD bs = 0.28, p = 0.39), dynamic steady-state balance (mean SMD bs = 0.35, p = 0.02), proactive balance (mean SMD bs = 0.24, p = 0.05), balance test batteries (mean SMD bs = 0.53, p = 0.02), and measures of muscle strength/power (mean SMD bs = 0.51, p = 0.04). Regarding the examined dose-response relationships, our analyses showed that a number of 10-29 additional supervised sessions in the supervised training groups compared with the unsupervised training groups resulted in the largest effects for static steady-state balance (mean SMD bs = 0.35), dynamic steady-state balance (mean SMD bs = 0.37), and muscle strength/power (mean SMD bs = 1.12). Further, ≥30 additional supervised sessions in the supervised training groups were needed to produce the largest effects on proactive balance (mean SMD bs = 0.30) and balance test batteries (mean SMD bs = 0.77). Effects in favor of supervised programs were larger for studies that did not include any supervised sessions in their unsupervised programs (mean SMD bs : 0.28-1.24) compared with studies that implemented a few supervised sessions in their unsupervised programs (e.g., three supervised sessions throughout the entire intervention program; SMD bs : -0.06 to 0.41). The present findings have to be interpreted with caution because of the low number of eligible studies and the moderate methodological quality of the included studies, which is indicated by a median Physiotherapy Evidence Database scale score of 5. Furthermore, we indirectly compared dose-response relationships across studies and not from single controlled studies. Our analyses suggest that supervised balance and/or resistance training improved measures of balance and muscle strength/power to a greater extent than unsupervised programs in older adults. Owing to the small number of available studies, we were unable to establish a clear dose-response relationship with regard to the impact of supervision. However, the positive effects of supervised training are particularly prominent when compared with completely unsupervised training programs. It is therefore recommended to include supervised sessions (i.e., two out of three sessions/week) in balance/resistance training programs to effectively improve balance and muscle strength/power in older adults.
Ndima, Sozinho Daniel; Sidat, Mohsin; Give, Celso; Ormel, Hermen; Kok, Maryse Catelijne; Taegtmeyer, Miriam
2015-09-01
Community health workers (CHWs) in Mozambique (known as Agentes Polivalentes Elementares (APEs)) are key actors in providing health services in rural communities. Supervision of CHWs has been shown to improve their work, although details of how it is implemented are scarce. In Mozambique, APE supervision structures and scope of work are clearly outlined in policy and rely on supervisors at the health facility of reference. The aim of this study was to understand how and which aspects of supervision impact on APE motivation and programme implementation. Qualitative research methodologies were used. Twenty-nine in-depth interviews were conducted to capture experiences and perceptions of purposefully selected participants. These included APEs, health facility supervisors, district APE supervisors and community leaders. Interviews were recorded, translated and transcribed, prior to the development of a thematic framework. Supervision was structured as dictated by policy but in practice was irregular and infrequent, which participants identified as affecting APE's motivation. When it did occur, supervision was felt to focus more on fault-finding than being supportive in nature and did not address all areas of APE's work - factors that APEs identified as demotivating. Supervisors, in turn, felt unsupported and felt this negatively impacted performance. They had a high workload in health facilities, where they had multiple roles, including provision of health services, taking care of administrative issues and supervising APEs in communities. A lack of resources for supervision activities was identified, and supervisors felt caught up in administrative issues around APE allowances that they were unable to solve. Many supervisors were not trained in providing supportive supervision. Community governance and accountability mechanisms were only partially able to fill the gaps left by the supervision provided by the health system. The findings indicate the need for an improved supervision system to enhance support and motivation and ultimately performance of APEs. Our study found disconnections between the APE programme policy and its implementation, with gaps in skills, training and support of supervisors leading to sub-optimal supervision. Improved methods of supervision could be implemented including those that maximize the opportunities during face-to-face meetings and through community-monitoring mechanisms.
Cornwell, Brittany L; Brockmann, Laurie M; Lasky, Elaine C; Mach, Jennifer; McCarthy, John F
2018-06-01
The Veterans Health Administration (VHA) has achieved substantial national implementation of primary care-mental health integration (PC-MHI) services. However, little is known regarding program characteristics, variation in characteristics across settings, or associations between program fidelity and performance. This study identified core elements of PC-MHI services and evaluated their associations with program characteristics and performance. A principal-components analysis (PCA) of reports from 349 sites identified factors associated with PC-MHI fidelity. Analyses assessed the correlation among factors and between each factor and facility type (medical center or community-based outpatient clinic), primary care population size, and performance indicators (receipt of PC-MHI services, same-day access to mental health and primary care services, and extended duration of services). PCA identified seven factors: core implementation, care management (CM) assessments and supervision, CM supervision receipt, colocated collaborative care (CCC) by prescribing providers, CCC by behavioral health providers, participation in patient aligned care teams (PACTs) for special populations, and treatment of complex mental health conditions. Sites serving larger populations had greater core implementation scores. Medical centers and sites serving larger populations had greater scores for CCC by prescribing providers, CM assessments and supervision, and participation in PACTs. Greater core implementation scores were associated with greater same-day access. Sites with greater scores for CM assessments and supervision had lower scores for treatment of complex conditions. Outpatient clinics and sites serving smaller populations experienced challenges in integrated care implementation. To enhance same-day access, VHA should continue to prioritize PC-MHI implementation. Providing brief, problem-focused care may enhance CM implementation.
Supervision, transference and countertransference.
Fink, Klaus
2007-10-01
The author discusses supervision, transference and countertransference as seen in the context of the clinical case of a patient who had been first seen as a training analysis case and who later, in a fortuitous way, was treated by the supervisor of the training analysis. The supervisor, who in the first instance did not recognize the patient, discusses the reasons for this unusual experience in terms of the presence and absence of transference during the analysis of this patient as a training case and the problems inherent in the task of supervising. The patient's feelings towards the first and the second analyst and the vicissitudes of transference and countertransference during the supervision of the training analysis and its influence on the presentation of the analytical sessions by the student are also detailed and discussed. The question of recorded supervision presentations and their possible influence on the dynamics of supervision is raised.
Saxby, Christine; Wilson, Jill; Newcombe, Peter
2015-09-01
Clinical supervision is widely recognised as a mechanism for providing professional support, professional development and clinical governance for healthcare workers. There have been limited studies about the effectiveness of clinical supervision for allied health and minimal studies conducted within the Australian health context. The aim of the present study was to identify whether clinical supervision was perceived to be effective by allied health professionals and to identify components that contributed to effectiveness. Participants completed an anonymous online questionnaire, administered through the health service's intranet. A cross-sectional study was conducted with community allied health workers (n = 82) 8 months after implementation of structured clinical supervision. Demographic data (age, gender), work-related history (profession employment level, years of experience), and supervision practice (number and length of supervision sessions) were collected through an online survey. The outcome measure, clinical supervision effectiveness, was operationalised using the Manchester Clinical Supervision Scale-26 (MCSS-26). Data were analysed with Pearson correlation (r) and independent sample t-tests (t) with significance set at 0.05 (ie the probability of significant difference set at P < 0.05). The length of the supervision sessions (r(s) ≥ 0.44), the number of sessions (r(s) ≥ 0.35) and the total period supervision had been received (r(s) ≥ 0.42) were all significantly positively correlated with the MCSS-26 domains of clinical supervision effectiveness. Three individual variables, namely 'receiving clinical supervision', 'having some choice in the allocation of clinical supervisor' and 'having a completed clinical supervision agreement', were also significantly associated with higher total MCSS-26 scores (P(s) < 0.014). The results of the study demonstrate that when clinical supervision uses best practice principles, it can provide professional support for allied health workers, even during times of rapid organisational change.
Supervised group Lasso with applications to microarray data analysis
Ma, Shuangge; Song, Xiao; Huang, Jian
2007-01-01
Background A tremendous amount of efforts have been devoted to identifying genes for diagnosis and prognosis of diseases using microarray gene expression data. It has been demonstrated that gene expression data have cluster structure, where the clusters consist of co-regulated genes which tend to have coordinated functions. However, most available statistical methods for gene selection do not take into consideration the cluster structure. Results We propose a supervised group Lasso approach that takes into account the cluster structure in gene expression data for gene selection and predictive model building. For gene expression data without biological cluster information, we first divide genes into clusters using the K-means approach and determine the optimal number of clusters using the Gap method. The supervised group Lasso consists of two steps. In the first step, we identify important genes within each cluster using the Lasso method. In the second step, we select important clusters using the group Lasso. Tuning parameters are determined using V-fold cross validation at both steps to allow for further flexibility. Prediction performance is evaluated using leave-one-out cross validation. We apply the proposed method to disease classification and survival analysis with microarray data. Conclusion We analyze four microarray data sets using the proposed approach: two cancer data sets with binary cancer occurrence as outcomes and two lymphoma data sets with survival outcomes. The results show that the proposed approach is capable of identifying a small number of influential gene clusters and important genes within those clusters, and has better prediction performance than existing methods. PMID:17316436
Kennelly, Jeanette D; Baker, Felicity A; Daveson, Barbara A
2017-03-01
Limited research exists to inform a music therapist's supervision story from their pre-professional training to their practice as a professional. Evidence is needed to understand the complex nature of supervision experiences and their impact on professional practice. This qualitative study explored the supervisory experiences of Australian-based Registered Music Therapists, according to the: 1) themes that characterize their experiences, 2) influences of the supervisor's professional background, 3) outcomes of supervision, and 4) roles of the employer, the professional music therapy association, and the university in supervision standards and practice. Seven professionals were interviewed for this study. Five stages of narrative analysis were used to create their supervision stories: a life course graph, narrative psychological analysis, component story framework and narrative analysis, analysis of narratives, and final integration of the seven narrative summaries. Findings revealed that supervision practice is influenced by a supervisee's personal and professional needs. A range of supervision models or approaches is recommended, including the access of supervisors from different professional backgrounds to support each stage of learning and development. A quality supervisory experience facilitates shifts in awareness and insight, which results in improved or increased skills, confidence, and accountability of practice. Participants' concern about stakeholders included a limited understanding of the role of the supervisor, a lack of clarity about accountability of supervisory practice, and minimal guidelines, which monitor professional competencies. The benefits of supervision in music therapy depend on the quality of the supervision provided, and clarity about the roles of those involved. Research and guidelines are recommended to target these areas. © the American Music Therapy Association 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
Alfonsson, Sven; Spännargård, Åsa; Parling, Thomas; Andersson, Gerhard; Lundgren, Tobias
2017-05-11
Clinical supervision by a senior therapist is a very common practice in psychotherapist training and psychiatric care settings. Though clinical supervision is advocated by most educational and governing institutions, the effects of clinical supervision on the supervisees' competence, e.g., attitudes, behaviors, and skills, as well as on treatment outcomes and other patient variables are debated and largely unknown. Evidence-based practice is advocated in clinical settings but has not yet been fully implemented in educational or clinical training settings. The aim of this systematic review is to synthesize and present the empirical literature regarding effects of clinical supervision in cognitive-behavioral therapy. This study will include a systematic review of the literature to identify studies that have empirically investigated the effects of supervision on supervised psychotherapists and/or the supervisees' patients. A comprehensive search strategy will be conducted to identify published controlled studies indexed in the MEDLINE, EMBASE, PsycINFO, and Cochrane Library databases. Data on supervision outcomes in both psychotherapists and their patients will be extracted, synthesized, and reported. Risk of bias and quality of the included studies will be assessed systematically. This systematic review will rigorously follow established guidelines for systematic reviews in order to summarize and present the evidence base for clinical supervision in cognitive-behavioral therapy and may aid further research and discussion in this area. PROSPERO CRD42016046834.
An Analysis of a Multidimensional Success: Measure for PSDS Students.
ERIC Educational Resources Information Center
Spuck, Dennis W.
The Program of Special Directed Studies (PSDS) identifies persons with intellectual ability whose academic achievement, as indicated by traditional measures, is inadequate to secure admission to selective colleges. Then, through a program of supervised college courses, special services and individual tutoring, it attempts to prepare these students…
ERIC Educational Resources Information Center
Tubsuli, Nattapong; Julsuwan, Suwat; Tesaputa, Kowat
2017-01-01
Internal supervision in the school is currently experiencing various problems. Supervision preparation problems are related to: lacking of supervision plan, lacking of holistic and systematic planning, and lacking of analysis in current conditions or requirements. While supervision operational problems are included: lacking of supervision…
ERIC Educational Resources Information Center
Carlson, Ryan G.; Lambie, Glenn W.
2012-01-01
Supervision models for marriage and family counseling student interns primarily focus on the use of traditional systemic techniques. In addition, a supervisee's level of development may not be considered when utilizing systemic tools. Furthermore, the supervisory relationship has been identified as a significant indicator of quality supervision,…
Possible influences on clinical supervision.
Jones, A
This article discusses clinical supervision and suggests that, aside from helping nurses to enhance their clinical effectiveness, it could offer experiential methods of assisting nurses to identify and locate supportive networks in the workplace. The advantages and difficulties of supervision relationships are described in context, including some consideration of authority and control.
Applying Services Marketing Principles to Postgraduate Supervision
ERIC Educational Resources Information Center
Dann, Stephen
2008-01-01
Purpose: The paper aims to describe the application of two key service quality frameworks for improving the delivery of postgraduate research supervision. The services quality frameworks are used to identify key areas of overlap between services marketing practice and postgraduate supervision that can be used by the supervisor to improve research…
Cross-Cultural Supervision: Guiding the Conversation toward Race and Ethnicity
ERIC Educational Resources Information Center
Estrada, Diane; Frame, Marsha Wiggins; Williams, Carmen Braun
2004-01-01
The following article examines the importance of meaningful discussion of race and ethnicity in cross-cultural supervision. They identify common errors in cross-cultural supervision. Through a case illustration, the authors showcase problems that may arise when racial and cultural factors are inappropriately addressed. Strategies for effective…
Rabbani, Fauziah; Shipton, Leah; Aftab, Wafa; Sangrasi, Kashif; Perveen, Shagufta; Zahidie, Aysha
2016-08-17
Community health worker motivation is an important consideration for improving performance and addressing maternal, newborn, and child health in low and middle-income countries. Therefore, identifying health system interventions that address motivating factors in resource-strained settings is essential. This study is part of a larger implementation research project called Nigraan, which is intervening on supportive supervision in the Lady Health Worker Programme to improve community case management of pneumonia and diarrhea in rural Pakistan. This study explored the motivation of Lady Health Supervisors, a cadre of community health workers, with particular attention to their views on supportive supervision. Twenty-nine lady health supervisors enrolled in Nigraan completed open-ended structured surveys with questions exploring factors that affect their motivation. Thematic analysis was conducted using a conceptual framework categorizing motivating factors at individual, community, and health system levels. Supportive supervision, recognition, training, logistics, and salaries are community and health system motivating factors for lady health supervisors. Lady health supervisors are motivated by both their role in providing supportive supervision to lady health workers and by the supervisory support received from their coordinators and managers. Family support, autonomy, and altruism are individual level motivating factors. Health system factors, including supportive supervision, are crucial to improving lady health supervisor motivation. As health worker motivation influences their performance, evaluating the impact of health system interventions on community health worker motivation is important to improving the effectiveness of community health worker programs.
Semi-Supervised Marginal Fisher Analysis for Hyperspectral Image Classification
NASA Astrophysics Data System (ADS)
Huang, H.; Liu, J.; Pan, Y.
2012-07-01
The problem of learning with both labeled and unlabeled examples arises frequently in Hyperspectral image (HSI) classification. While marginal Fisher analysis is a supervised method, which cannot be directly applied for Semi-supervised classification. In this paper, we proposed a novel method, called semi-supervised marginal Fisher analysis (SSMFA), to process HSI of natural scenes, which uses a combination of semi-supervised learning and manifold learning. In SSMFA, a new difference-based optimization objective function with unlabeled samples has been designed. SSMFA preserves the manifold structure of labeled and unlabeled samples in addition to separating labeled samples in different classes from each other. The semi-supervised method has an analytic form of the globally optimal solution, and it can be computed based on eigen decomposition. Classification experiments with a challenging HSI task demonstrate that this method outperforms current state-of-the-art HSI-classification methods.
White, Andrew A; Wright, Seth W; Blanco, Roberto; Lemonds, Brent; Sisco, Janice; Bledsoe, Sandy; Irwin, Cindy; Isenhour, Jennifer; Pichert, James W
2004-10-01
Identifying the etiologies of adverse outcomes is an important first step in improving patient safety and reducing malpractice risks. However, relatively little is known about the causes of emergency department-related adverse outcomes. The objective was to describe a method for identification of common causes of adverse outcomes in an emergency department. This methodology potentially can suggest ways to improve care and might provide a model for identification of factors associated with adverse outcomes. This was a retrospective analysis of 74 consecutive files opened by a malpractice insurer between 1995 and 2000. Each risk-management file was analyzed to identify potential causes of adverse outcomes. The main outcomes were rater-assigned codes for alleged problems with care (e.g., failures of communication or problems related to diagnosis). About 50% of cases were related to injuries or abdominal complaints. A contributing cause was found in 92% of cases, and most had more than one contributing cause. The most frequent contributing categories included failure to diagnose (45%), supervision problems (31%), communication problems (30%), patient behavior (24%), administrative problems (20%), and documentation (20%). Specific relating factors within these categories, such as lack of timely resident supervision and failure to follow policies and procedures, were identified. This project documented that an aggregate analysis of risk-management files has the potential to identify shared causes related to real or perceived adverse outcomes. Several potentially correctable systems problems were identified using this methodology. These simple, descriptive management tools may be useful in identifying issues for problem solving and can be easily learned by physicians and managers.
A Content Analysis of Peer Feedback in Triadic Supervision
ERIC Educational Resources Information Center
Avent, Janeé R.; Wahesh, Edward; Purgason, Lucy L.; Borders, L. DiAnne; Mobley, A. Keith
2015-01-01
There is limited research on the types of peer feedback exchanged during triadic supervision. Through a content analysis, the authors found that students provided feedback about counseling performance and cognitive counseling skills most often in supervision sessions. However, there were differences in the types of feedback exchanged across three…
Subramaniam, Anusuiya; Silong, Abu Daud; Uli, Jegak; Ismail, Ismi Arif
2015-08-13
Effective talent development requires robust supervision. However, the effects of supervisory styles (coaching, mentoring and abusive supervision) on talent development and the moderating effects of clinical learning environment in the relationship between supervisory styles and talent development among public hospital trainee doctors have not been thoroughly researched. In this study, we aim to achieve the following, (1) identify the extent to which supervisory styles (coaching, mentoring and abusive supervision) can facilitate talent development among trainee doctors in public hospital and (2) examine whether coaching, mentoring and abusive supervision are moderated by clinical learning environment in predicting talent development among trainee doctors in public hospital. A questionnaire-based critical survey was conducted among trainee doctors undergoing housemanship at six public hospitals in the Klang Valley, Malaysia. Prior permission was obtained from the Ministry of Health Malaysia to conduct the research in the identified public hospitals. The survey yielded 355 responses. The results were analysed using SPSS 20.0 and SEM with AMOS 20.0. The findings of this research indicate that coaching and mentoring supervision are positively associated with talent development, and that there is no significant relationship between abusive supervision and talent development. The findings also support the moderating role of clinical learning environment on the relationships between coaching supervision-talent development, mentoring supervision-talent development and abusive supervision-talent development among public hospital trainee doctors. Overall, the proposed model indicates a 26 % variance in talent development. This study provides an improved understanding on the role of the supervisory styles (coaching and mentoring supervision) on facilitating talent development among public hospital trainee doctors. Furthermore, this study extends the literature to better understand the effects of supervisory styles on trainee doctors' talent development are contigent on the trainee doctors' clinical learning environment. In summary, supervisors are stakeholders with the responsibility of facilitating learning conditions that hold sufficient structure and support to optimise the trainee doctors learning.
In-situ trainable intrusion detection system
DOE Office of Scientific and Technical Information (OSTI.GOV)
Symons, Christopher T.; Beaver, Justin M.; Gillen, Rob
A computer implemented method detects intrusions using a computer by analyzing network traffic. The method includes a semi-supervised learning module connected to a network node. The learning module uses labeled and unlabeled data to train a semi-supervised machine learning sensor. The method records events that include a feature set made up of unauthorized intrusions and benign computer requests. The method identifies at least some of the benign computer requests that occur during the recording of the events while treating the remainder of the data as unlabeled. The method trains the semi-supervised learning module at the network node in-situ, such thatmore » the semi-supervised learning modules may identify malicious traffic without relying on specific rules, signatures, or anomaly detection.« less
Supervising Counsellors and Psychotherapists Who Work with Trauma: A Delphi Study
ERIC Educational Resources Information Center
West, Angela
2010-01-01
In this study the Delphi technique was used to identify the main supervision issues that require attention and consideration when supervising counsellors and psychotherapists working with trauma. A panel of supervisors, who were additionally experienced in working with trauma in adulthood, completed a series of three questionnaires comprising two…
Supervising Family Therapy Trainees in Primary Care Medical Settings: Context Matters
ERIC Educational Resources Information Center
Edwards, Todd M.; Patterson, Jo Ellen
2006-01-01
The purpose of this article is to identify and describe four essential skills for effective supervision of family therapy trainees in primary care medical settings. The supervision skills described include: (1) Understand medical culture; (2) Locate the trainee in the treatment system; (3) Investigate the biological/health issues; and (4) Be…
Supervisory needs of research doctoral students in a university teaching hospital setting.
Caldwell, Patrina Hy; Oldmeadow, Wendy; Jones, Cheryl A
2012-10-01
Teaching hospitals affiliated with universities are now common sites for research higher degree supervision. We hypothesised that the hospital environment poses unique challenges to supervision compared with the traditional university research institute setting. This study aimed to identify and rank important supervision issues in a clinical setting from the students' perspective. Using the Delphi method to explore issues and facilitate consensus, small group discussions were conducted with 10 research doctoral students from a tertiary teaching hospital. We identified supervision issues that are unique to the hospital-based context. These include the demands placed on supervisors combining clinical and supervisory roles, the challenges of academic medical/scientific writing and career issues for students who are already established in their professions. Other issues identified, common to all doctoral students, include differing expectations between students and supervisors (with students wanting support for their career plans, training in research skills and increasing autonomy and responsibility), supervisor access, quality and frequency of meetings, lack of training in writing and dealing with conflicts. Our research identified that postgraduate students of supervisors who combine clinical and supervisory roles report significant issues with supervision, some of which are unique to the clinical setting. Clinician researchers who supervise postgraduate students need to balance clinical and supervisory responsibilities, identify and negotiate student expectations early in candidature and provide career counselling to students who are already highly experienced. Furthermore, clinician supervisors should undertake postgraduate supervisor training programme tailored to the hospital setting to better support their students. © 2012 The Authors. Journal of Paediatrics and Child Health © 2012 Paediatrics and Child Health Division (Royal Australasian College of Physicians).
Sato, Atsushi; Okuda, Yutaka; Fujita, Takaaki; Kimura, Norihiko; Hoshina, Noriyuki; Kato, Sayaka; Tanaka, Shigenari
2016-01-01
This study aimed to clarify which cognitive and physical factors are associated with the need for toileting assistance in stroke patients and to calculate cut-off values for discriminating between independent supervision and dependent toileting ability. This cross-sectional study included 163 first-stroke patients in nine convalescent rehabilitation wards. Based on their FIM Ⓡ instrument score for toileting, the patients were divided into an independent-supervision group and a dependent group. Multiple logistic regression analysis and receiver operating characteristic analysis were performed to identify factors related to toileting performance. The Minimental State Examination (MMSE); the Stroke Impairment Assessment Set (SIAS) score for the affected lower limb, speech, and visuospatial functions; and the Functional Assessment for Control of Trunk (FACT) were analyzed as independent variables. The multiple logistic regression analysis showed that the FIM Ⓡ instrument score for toileting was associated with the SIAS score for the affected lower limb function, MMSE, and FACT. On receiver operating characteristic analysis, the SIAS score for the affected lower limb function cut-off value was 8/7 points, the MMSE cut-off value was 25/24 points, and the FACT cut-off value was 14/13 points. Affected lower limb function, cognitive function, and trunk function were related with the need for toileting assistance. These cut-off values may be useful for judging whether toileting assistance is needed in stroke patients.
Psychotherapy-based supervision models in an emerging competency-based era: a commentary.
Falender, Carol A; Shafranske, Edward P
2010-03-01
As psychology engages in a cultural shift to competency-based education and training supervision practice is being transformed to the use of competency frames and the application of benchmark competencies. In this issue, psychotherapy-based models of supervision are conceptualized in a competency framework. This paper reflects on the translation of key components of each psychotherapy-based supervision approach in terms of foundational and functional competencies articulated in the Competencies Benchmarks (Fouad et al., 2009). The commentary concludes with a discussion of implications for supervision practice and identifies directions for future articulation and development, including evidence-based psychotherapy supervision. PsycINFO Database Record (c) 2010 APA, all rights reserved
Classification and analysis of the Rudaki's Area
NASA Astrophysics Data System (ADS)
Zambon, F.; De sanctis, M.; Capaccioni, F.; Filacchione, G.; Carli, C.; Ammannito, E.; Frigeri, A.
2011-12-01
During the first two MESSENGER flybys the Mercury Dual Imaging System (MDIS) has mapped 90% of the Mercury's surface. An effective way to study the different terrain on planetary surfaces is to apply classification methods. These are based on clustering algorithms and they can be divided in two categories: unsupervised and supervised. The unsupervised classifiers do not require the analyst feedback and the algorithm automatically organizes pixels values into classes. In the supervised method, instead, the analyst must choose the "training area" that define the pixels value of a given class. We applied an unsupervised classifier, ISODATA, to the WAC filter images of the Rudaki's area where several kind of terrain have been identified showing differences in albedo, topography and crater density. ISODATA classifier divides this region in four classes: 1) shadow regions, 2) rough regions, 3) smooth plane, 4) highest reflectance area. ISODATA can not distinguish the high albedo regions from highly reflective illuminated edge of the craters, however the algorithm identify four classes that can be considered different units mainly on the basis of their reflectances at the various wavelengths. Is not possible, instead, to extrapolate compositional information because of the absence of clear spectral features. An additional analysis was made using ISODATA to choose the "training area" for further supervised classifications. These approach would allow, for example, to separate more accurately the edge of the craters from the high reflectance areas and the low reflectance regions from the shadow areas.
Trainer Interventions as Instructional Strategies in Air Traffic Control Training
ERIC Educational Resources Information Center
Koskela, Inka; Palukka, Hannele
2011-01-01
Purpose: This paper aims to identify methods of guidance and supervision used in air traffic control training. It also aims to show how these methods facilitate trainee participation in core work activities. Design/methodology/approach: The paper applies the tools of conversation analysis and ethnomethodology to explore the ways in which trainers…
Greacen, Tim; Welniarz, Bertrand; Purper-Ouakil, Diane; Wendland, Jaqueline; Dugravier, Romain; Saïas, Thomas; Tereno, Susana; Tubach, Florence; Haddad, Alain; Guedeney, Antoine
2017-03-01
Individual supervision of home-visiting professionals has proved to be a key element for perinatal home-visiting programs. Although studies have been published concerning quality criteria for supervision in North American contexts, little is known about this subject in other national settings. In the context of the CAPEDP program (Compétences parentales et Attachement dans la Petite Enfance: Diminution des risques liés aux troubles de santé mentale et Promotion de la résilience; Parental Skills and Attachment in Early Childhood: Reducing Mental Health Risks and Promoting Resilience), the first randomized controlled perinatal mental health promotion research program to take place in France, this article describes the results of a study using the Delphi consensus method to identify the program supervisors' points of view concerning best practice for the individual supervision of home visitors involved in such programs. The final 18 recommendations could be grouped into four general themes: the organization and setting of supervision sessions; supervisor competencies; relationship between supervisor and supervisee; and supervisor intervention strategies within the supervision process. The quality criteria identified in this perinatal home-visiting program in the French cultural context underline the importance of clinical supervision and not just reflective supervision when working with families with multiple, highly complex needs. © 2017 Michigan Association for Infant Mental Health.
Health visitors' needs--national perspectives from the Restorative Clinical Supervision Programme.
Wallbank, Sonya
2012-04-01
The restorative clinical supervision programme has been delivering supervision for the last 18 months to over 600 health visitors within trusts across the UK. This opportunity has allowed the supervision team to work with individual organisations to identify the key issues with which health visiting teams are struggling, and provide effective solutions to reduce staff stress, encourage retention and increase job satisfaction. This paper offers an overview of the consistent themes that health visitors are attempting to resolve and of how restorative supervision supports professionals working with complex families to manage these difficulties.
A Content Analysis of 10 Years of Clinical Supervision Articles in Counseling
ERIC Educational Resources Information Center
Bernard, Janine M.; Luke, Melissa
2015-01-01
This content analysis follows Borders's (2005) review of counseling supervision literature and includes 184 counselor supervision articles published over the past 10 years. Articles were coded as representing 1 of 3 research types or 1 of 3 conceptual types. Articles were then analyzed for main topics producing 11 topic categories.
Veyrat-Durebex, Charlotte; Corcia, Philippe; Piver, Eric; Devos, David; Dangoumau, Audrey; Gouel, Flore; Vourc'h, Patrick; Emond, Patrick; Laumonnier, Frédéric; Nadal-Desbarats, Lydie; Gordon, Paul H; Andres, Christian R; Blasco, Hélène
2016-12-01
This study aims to develop a cellular metabolomics model that reproduces the pathophysiological conditions found in amyotrophic lateral sclerosis in order to improve knowledge of disease physiology. We used a co-culture model combining the motor neuron-like cell line NSC-34 and the astrocyte clone C8-D1A, with each over-expressing wild-type or G93C mutant human SOD1, to examine amyotrophic lateral sclerosis (ALS) physiology. We focused on the effects of mutant human SOD1 as well as oxidative stress induced by menadione on intracellular metabolism using a metabolomics approach through gas chromatography coupled with mass spectrometry (GC-MS) analysis. Preliminary non-supervised analysis by Principal Component Analysis (PCA) revealed that cell type, genetic environment, and time of culture influenced the metabolomics profiles. Supervised analysis using orthogonal partial least squares discriminant analysis (OPLS-DA) on data from intracellular metabolomics profiles of SOD1 G93C co-cultures produced metabolites involved in glutamate metabolism and the tricarboxylic acid cycle (TCA) cycle. This study revealed the feasibility of using a metabolomics approach in a cellular model of ALS. We identified potential disruption of the TCA cycle and glutamate metabolism under oxidative stress, which is consistent with prior research in the disease. Analysis of metabolic alterations in an in vitro model is a novel approach to investigation of disease physiology.
Snowdon, David A; Leggat, Sandra G; Taylor, Nicholas F
2017-11-28
To ensure quality of care delivery clinical supervision has been implemented in health services. While clinical supervision of health professionals has been shown to improve patient safety, its effect on other dimensions of quality of care is unknown. The purpose of this systematic review is to determine whether clinical supervision of health professionals improves effectiveness of care and patient experience. Databases MEDLINE, PsychINFO, CINAHL, EMBASE and AMED were searched from earliest date available. Additional studies were identified by searching of reference lists and citation tracking. Two reviewers independently applied inclusion and exclusion criteria. The quality of each study was rated using the Medical Education Research Study Quality Instrument. Data were extracted on effectiveness of care (process of care and patient health outcomes) and patient experience. Seventeen studies across multiple health professions (medical (n = 4), nursing (n = 7), allied health (n = 2) and combination of nursing, medical and/or allied health (n = 4)) met the inclusion criteria. The clinical heterogeneity of the included studies precluded meta-analysis. Twelve of 14 studies investigating 38,483 episodes of care found that clinical supervision improved the process of care. This effect was most predominant in cardiopulmonary resuscitation and African health settings. Three of six studies investigating 1756 patients found that clinical supervision improved patient health outcomes, namely neurological recovery post cardiopulmonary resuscitation (n = 1) and psychological symptom severity (n = 2). None of three studies investigating 1856 patients found that clinical supervision had an effect on patient experience. Clinical supervision of health professionals is associated with effectiveness of care. The review found significant improvement in the process of care that may improve compliance with processes that are associated with enhanced patient health outcomes. While few studies found a direct effect on patient health outcomes, when provided to mental health professionals clinical supervision may be associated with a reduction in psychological symptoms of patients diagnosed with a mental illness. There was no association found between clinical supervision and the patient experience. CRD42015029643 .
Social constructionism and supervision: experiences of AAMFT supervisors and supervised therapists.
Hair, Heather J; Fine, Marshall
2012-10-01
A phenomenological research process was used to investigate the supervision experience for supervisors and therapists when supervisors use a social constructionist perspective. Participants of the one-to-one interviews were six AAMFT Approved Supervisors and six therapists providing counseling to individuals, couples and families. The findings suggest supervisors were committed to their self-identified supervision philosophy and intentionally sought out congruence between epistemology and practice. The shared experience of therapists indicates they associated desirable supervision experiences with their supervisors' social constructionist perspective. Our findings also indicated that supervisors' and therapists' understanding of social constructionism included the more controversial concepts of agency and extra-discursiveness. This research has taken an empirical step in the direction of understanding what the social constructionist supervision experience is like for supervisors and therapists. Our findings suggest a linkage between epistemology and supervision practice and a satisfaction with the supervision process. © 2012 American Association for Marriage and Family Therapy.
NASA Astrophysics Data System (ADS)
Salman, S. S.; Abbas, W. A.
2018-05-01
The goal of the study is to support analysis Enhancement of Resolution and study effect on classification methods on bands spectral information of specific and quantitative approaches. In this study introduce a method to enhancement resolution Landsat 8 of combining the bands spectral of 30 meters resolution with panchromatic band 8 of 15 meters resolution, because of importance multispectral imagery to extracting land - cover. Classification methods used in this study to classify several lands -covers recorded from OLI- 8 imagery. Two methods of Data mining can be classified as either supervised or unsupervised. In supervised methods, there is a particular predefined target, that means the algorithm learn which values of the target are associated with which values of the predictor sample. K-nearest neighbors and maximum likelihood algorithms examine in this work as supervised methods. In other hand, no sample identified as target in unsupervised methods, the algorithm of data extraction searches for structure and patterns between all the variables, represented by Fuzzy C-mean clustering method as one of the unsupervised methods, NDVI vegetation index used to compare the results of classification method, the percent of dense vegetation in maximum likelihood method give a best results.
NASA Astrophysics Data System (ADS)
Löfström, Erika; Pyhältö, Kirsi
2015-11-01
This study focused on exploring students' and supervisors' perceptions of ethical problems in doctoral supervision in the natural sciences. Fifteen supervisors and doctoral students in one research community in the natural sciences were interviewed about their practices and experiences in the doctoral process and supervision. We explored to what extent doctoral students and supervisors experienced similar or different ethical challenges in the supervisory relationship and analyzed how the experiences of ethical dilemmas in supervision could be understood in light of the structure and practices of natural science research groups. The data were analyzed by theory-driven content analysis. Five ethical principles, namely non-maleficence, beneficence, autonomy, fidelity and justice, were used as a framework for identifying ethical issues. The results show that one major question that appears to underpin many of the emerging ethical issues is that the supervisors and students have different expectations of the supervisory role. The second important observation is that doctoral students primarily described their own experiences, whereas the supervisors described their activities as embedded in a system and elaborated on the causes and consequences at a system level.
An Examination of the Supervision of Special Education Instruction in Urban Public School Districts
ERIC Educational Resources Information Center
Payne, Suzette Guy
2017-01-01
The purpose of this study was to examine the supervision of special education instruction in urban public elementary schools by interviewing three principals regarding their roles in the supervisory process. Through these interviews the researcher attempted to identify concepts or themes that might guide principals in identifying effective…
Case Studies of Teacher Satisfaction with Three Plans for Evaluation and Supervision
ERIC Educational Resources Information Center
Arp, Jeb-Stuart Bennett
2013-01-01
The purpose of this study was to identify which plans for evaluation and supervision are most satisfactory to teachers. The study's participants come from three school systems in northwest Georgia. Each school district uses a different plan for evaluation and supervision; each claiming that the end goal is to improve teacher performance. Prior…
ERIC Educational Resources Information Center
Gallen, Robert T.; Ash, Jordana; Smith, Conner; Franco, Allison; Willford, Jennifer A.
2016-01-01
Reflective supervision and consultation (RS/C) is often defined as a "relationship for learning"(Fenichel, 1992, p.9). As such, measurement tools should include the perspective of each participant in the supervisory relationship when assessing RS/C fidelity, delivery quality, and the supervisee's experience. The Reflective Supervision…
A Delphi Study and Initial Validation of Counselor Supervision Competencies
ERIC Educational Resources Information Center
Neuer Colburn, Anita A.; Grothaus, Tim; Hays, Danica G.; Milliken, Tammi
2016-01-01
The authors addressed the lack of supervision training standards for doctoral counseling graduates by developing and validating an initial list of supervision competencies. They used content analysis, Delphi polling, and content validity methods to generate a list, vetted by 2 different panels of supervision experts, of 33 competencies grouped…
[Development of the role scale for municipal supervising public health nurses].
Hatono, Yoko; Suzuki, Hiroko; Masaki, Naoko
2013-05-01
As public health nurses are becoming increasingly decentralized in municipalities, recommendations for allocating supervising public health nurses are being made. This study aimed to develop a scale for measuring the implementation of role of municipal supervising public health nurses and to test its reliability and validity. Scale items were developed using results of a qualitative inductive analysis of interview data, and the items were then revised following an examination of content validity by experts, resulting in a provisional scale of 17 items. A self-administered, written questionnaire was then completed by supervising public health nurses or public health nurses holding the most senior positions in all municipalities nationwide, with the exception of three prefectures in the Tohoku region (total 1,621 locations). In total, 1,036 responses were received, and 931 were used for analysis (valid response rate = 57.4%). Of these, 406 were completed by supervising public health nurses. After deleting one item as a result of item analysis and conducting principal component analysis, factor analysis was conducted using the major factor method and Promax rotation. One item with high loading on multiple factors was deleted, resulting in a scale comprising 15 items and 3 factors. The cumulative contribution ratio was 56.10%. The three factors were labeled "Promotion of health activities across the whole locality," "Coordination as a PHN role leader," and "Development of the skills of public health nurses". The reliability coefficient of the RMSP (Role Scale for Municipal Supervising Public Health Nurses) as a whole was 0.84 using the split-half method (Spearman-Brown formula) and 0.91 using Cronbach's alpha, confirming internal consistency. In terms of validity, an examination was conducted of the correlation of two RMSP scale scores (strength of awareness of role as a supervising public health nurse and confidence as a supervising public health nurse) and scores on existing scales assessing management abilities, and a significant correlation (P < 0.01) was obtained. Additionally, a comparison of the RMSP scores of decentralized local public health nurses according to rank and years of service in areas where there were no supervising public health nurses with the RMSP scores of supervising public health nurses showed that the scores of supervising public health nurses were higher. The developed scale was found to be reliable and valid for measuring the implementation of supervising public health nurses' role.
Alfonsson, Sven; Parling, Thomas; Spännargård, Åsa; Andersson, Gerhard; Lundgren, Tobias
2018-05-01
Clinical supervision is a central part of psychotherapist training but the empirical support for specific supervision theories or features is unclear. The aims of this study were to systematically review the empirical research literature regarding the effects of clinical supervision on therapists' competences and clinical outcomes within Cognitive Behavior Therapy (CBT). A comprehensive database search resulted in 4103 identified publications. Of these, 133 were scrutinized and in the end 5 studies were included in the review for data synthesis. The five studies were heterogeneous in scope and quality and only one provided firm empirical support for the positive effects of clinical supervision on therapists' competence. The remaining four studies suffered from methodological weaknesses, but provided some preliminary support that clinical supervision may be beneficiary for novice therapists. No study could show benefits from supervision for patients. The research literature suggests that clinical supervision may have some potential effects on novice therapists' competence compared to no supervision but the effects on clinical outcomes are still unclear. While bug-in-the-eye live supervision may be more effective than standard delayed supervision, the effects of specific supervision models or features are also unclear. There is a continued need for high-quality empirical studies on the effects of clinical supervision in psychotherapy.
Mubuuke, AG; Oria, H; Dhabangi, A; Kiguli, S; Sewankambo, NK
2015-01-01
Introduction To produce health professionals who are oriented towards addressing community priority health needs, the training in medical schools has been transformed to include a component of community-based training. During this period, students spend a part of their training in the communities they are likely to serve upon graduation. They engage and empower local people in the communities to address their health needs during their placements, and at the same time learn from the people. During the community-based component, students are constantly supervised by faculty from the university to ensure that the intended objectives are achieved. The purpose of the present study was to explore student experiences of support supervision from university faculty during their community-based education, research and service (COBERS placements) and to identify ways in which the student learning can be improved through improved faculty supervision. Methods This was a cross-sectional study involving students at the College of Health Sciences, Makerere University, Uganda, who had a community-based component during their training. Data were collected using both questionnaires and focus group discussions. Quantitative data were analyzed using statistical software and thematic approaches were used for the analysis of qualitative data. Results Most students reported satisfaction with the COBERS supervision; however, junior students were less satisfied with the supervision than the more senior students with more experience of community-based training. Although many supervisors assisted students before departure to COBERS sites, a significant number of supervisors made little follow-up while students were in the community. Incorporating the use of information technology avenues such as emails and skype sessions was suggested as a potential way of enhancing supervision amidst resource constraints without faculty physically visiting the sites. Conclusions Although many students were satisfied with COBERS supervision, there are still some challenges, mostly seen with the more junior students. Using information technology could be a solution to some of these challenges. PMID:26626014
Mubuuke, Aloysius G; Oria, Hussein; Dhabangi, Aggrey; Kiguli, Sarah; Sewankambo, Nelson K
2015-01-01
To produce health professionals who are oriented towards addressing community priority health needs, the training in medical schools has been transformed to include a component of community-based training. During this period, students spend a part of their training in the communities they are likely to serve upon graduation. They engage and empower local people in the communities to address their health needs during their placements, and at the same time learn from the people. During the community-based component, students are constantly supervised by faculty from the university to ensure that the intended objectives are achieved. The purpose of the present study was to explore student experiences of support supervision from university faculty during their community-based education, research and service (COBERS placements) and to identify ways in which the student learning can be improved through improved faculty supervision. This was a cross-sectional study involving students at the College of Health Sciences, Makerere University, Uganda, who had a community-based component during their training. Data were collected using both questionnaires and focus group discussions. Quantitative data were analyzed using statistical software and thematic approaches were used for the analysis of qualitative data. Most students reported satisfaction with the COBERS supervision; however, junior students were less satisfied with the supervision than the more senior students with more experience of community-based training. Although many supervisors assisted students before departure to COBERS sites, a significant number of supervisors made little follow-up while students were in the community. Incorporating the use of information technology avenues such as emails and skype sessions was suggested as a potential way of enhancing supervision amidst resource constraints without faculty physically visiting the sites. Although many students were satisfied with COBERS supervision, there are still some challenges, mostly seen with the more junior students. Using information technology could be a solution to some of these challenges.
Semi-supervised clustering methods
Bair, Eric
2013-01-01
Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set. In many situations, however, information about the clusters is available in addition to the values of the features. For example, the cluster labels of some observations may be known, or certain observations may be known to belong to the same cluster. In other cases, one may wish to identify clusters that are associated with a particular outcome variable. This review describes several clustering algorithms (known as “semi-supervised clustering” methods) that can be applied in these situations. The majority of these methods are modifications of the popular k-means clustering method, and several of them will be described in detail. A brief description of some other semi-supervised clustering algorithms is also provided. PMID:24729830
Semi-supervised clustering methods.
Bair, Eric
2013-01-01
Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications, including document processing and modern genetics. Conventional clustering methods are unsupervised, meaning that there is no outcome variable nor is anything known about the relationship between the observations in the data set. In many situations, however, information about the clusters is available in addition to the values of the features. For example, the cluster labels of some observations may be known, or certain observations may be known to belong to the same cluster. In other cases, one may wish to identify clusters that are associated with a particular outcome variable. This review describes several clustering algorithms (known as "semi-supervised clustering" methods) that can be applied in these situations. The majority of these methods are modifications of the popular k-means clustering method, and several of them will be described in detail. A brief description of some other semi-supervised clustering algorithms is also provided.
Supervised DNA Barcodes species classification: analysis, comparisons and results
2014-01-01
Background Specific fragments, coming from short portions of DNA (e.g., mitochondrial, nuclear, and plastid sequences), have been defined as DNA Barcode and can be used as markers for organisms of the main life kingdoms. Species classification with DNA Barcode sequences has been proven effective on different organisms. Indeed, specific gene regions have been identified as Barcode: COI in animals, rbcL and matK in plants, and ITS in fungi. The classification problem assigns an unknown specimen to a known species by analyzing its Barcode. This task has to be supported with reliable methods and algorithms. Methods In this work the efficacy of supervised machine learning methods to classify species with DNA Barcode sequences is shown. The Weka software suite, which includes a collection of supervised classification methods, is adopted to address the task of DNA Barcode analysis. Classifier families are tested on synthetic and empirical datasets belonging to the animal, fungus, and plant kingdoms. In particular, the function-based method Support Vector Machines (SVM), the rule-based RIPPER, the decision tree C4.5, and the Naïve Bayes method are considered. Additionally, the classification results are compared with respect to ad-hoc and well-established DNA Barcode classification methods. Results A software that converts the DNA Barcode FASTA sequences to the Weka format is released, to adapt different input formats and to allow the execution of the classification procedure. The analysis of results on synthetic and real datasets shows that SVM and Naïve Bayes outperform on average the other considered classifiers, although they do not provide a human interpretable classification model. Rule-based methods have slightly inferior classification performances, but deliver the species specific positions and nucleotide assignments. On synthetic data the supervised machine learning methods obtain superior classification performances with respect to the traditional DNA Barcode classification methods. On empirical data their classification performances are at a comparable level to the other methods. Conclusions The classification analysis shows that supervised machine learning methods are promising candidates for handling with success the DNA Barcoding species classification problem, obtaining excellent performances. To conclude, a powerful tool to perform species identification is now available to the DNA Barcoding community. PMID:24721333
Yee, Kwang Chien; Madden, Angela; Nash, Rosie; Connolly, Michael
2017-01-01
Clinical communication and clinical supervision of junior healthcare professionals are identified as the two most common preventable factors to reduce medical errors. While multiple strategies have been implemented to improve clinical communication, clinical supervision has not attracted as much attention. This is in part due to the lack of understanding of clinical supervision. Furthermore, there is a lack of exploration of information communication technology (ICT) in assisting the delivery of clinical supervision from the perspective of users (i.e. junior clinicians). This paper presents a study to understand clinical supervision from the perspective of medical and pharmacy interns. The important elements of good clinical supervisors and good clinical supervision have been presented in this paper based on our study. More importantly, our results suggest a distinction between good supervisors and good supervisions. Both these factors impact on patient safety. Through discussion of user requirements of good supervision by users (interns), this paper then explores and presents a conceptual framework to assist in the discussion and design of ICT by healthcare organisations to improve clinical supervision of interns and therefore improve patient safety.
Ducat, Wendy H; Kumar, Saravana
2015-01-01
Introduction In regional, rural, and remote settings, allied health professional supervision is one organizational mechanism designed to support and retain the workforce, provide clinical governance, and enhance service delivery. A systematic approach to evaluating the evidence of the experience and effects of professional supervision for non-metropolitan allied health practitioners and their service delivery is needed. Methods Studies investigating the experience and effects of professional supervision across 17 allied health disciplines in non-metropolitan health services were systematically searched for using standardized keywords across seven databases. The initial search identified 1,574 references. Of these studies, five met inclusion criteria and were subject to full methodological appraisal by both reviewers. Two studies were primarily qualitative with three studies primarily quantitative in their approach. Studies were appraised using McMaster critical appraisal tools and data were extracted and synthesized. Results Studies reported the context specific benefits and challenges of supervision in non-metropolitan areas and the importance of supervision in enhancing satisfaction and support in these areas. Comparison of findings between metropolitan and non-metropolitan settings within one study suggested that allied health in non-metropolitan settings were more satisfied with supervision though less likely to access it and preferred supervision with other non-metropolitan practitioners over access to more experienced supervisors. One study in a regional health service identified the lack of an agreed upon definition and functions of supervision when supervisors from diverse allied health disciplines were surveyed. While methodologically weak, all studies reported positive perceptions of supervision across professionals, supervisors, and managers. This is in accordance with previous research in the wider supervision literature. Discussion Considering the large pool of studies retrieved for further investigation, few of these met inclusion criteria demonstrating the paucity of primary research in this area. Increased training, policies, and implementation frameworks to ensure the definition and functions of supervision are agreed upon across the allied health disciplines in non-metropolitan areas is needed. Furthermore, systematic evaluation of supervision implementation in non-metropolitan settings, investigation of the experience and effects of distance based supervision (versus face-to-face), and increased rigor in research studies investigating non-metropolitan allied health profession supervision is needed. PMID:26347446
Competencies to enable learning-focused clinical supervision: a thematic analysis of the literature.
Pront, Leeanne; Gillham, David; Schuwirth, Lambert W T
2016-04-01
Clinical supervision is essential for development of health professional students and widely recognised as a significant factor influencing student learning. Although considered important, delivery is often founded on personal experience or a series of predetermined steps that offer standardised behavioural approaches. Such a view may limit the capacity to promote individualised student learning in complex clinical environments. The objective of this review was to develop a comprehensive understanding of what is considered 'good' clinical supervision, within health student education. The literature provides many perspectives, so collation and interpretation were needed to aid development and understanding for all clinicians required to perform clinical supervision within their daily practice. A comprehensive thematic literature review was carried out, which included a variety of health disciplines and geographical environments. Literature addressing 'good' clinical supervision consists primarily of descriptive qualitative research comprising mostly small studies that repeated descriptions of student and supervisor opinions of 'good' supervision. Synthesis and thematic analysis of the literature resulted in four 'competency' domains perceived to inform delivery of learning-focused or 'good' clinical supervision. Domains understood to promote student learning are co-dependent and include 'to partner', 'to nurture', 'to engage' and 'to facilitate meaning'. Clinical supervision is a complex phenomenon and establishing a comprehensive understanding across health disciplines can influence the future health workforce. The learning-focused clinical supervision domains presented here provide an alternative perspective of clinical supervision of health students. This paper is the first step in establishing a more comprehensive understanding of learning-focused clinical supervision, which may lead to development of competencies for clinical supervision. © 2016 John Wiley & Sons Ltd.
Exercise Effects on Depressive Symptoms in Cancer Survivors: A Systematic Review and Meta-Analysis
Craft, Lynette L.; VanIterson, Erik H.; Helenowski, Irene B.; Rademaker, Alfred W.; Courneya, Kerry S.
2011-01-01
Background Depression is a distressing side effect of cancer and its treatment. In the general population, exercise is an effective antidepressant. Objective We conducted a systematic review and meta-analysis to determine the antidepressant effect of exercise in cancer survivors. Data Sources In May, 2011, we searched MEDLINE, PsycInfo, EMBASE, CINAHL, CDSR, CENTRAL, AMED, Biosis Previews, and Sport Discus, and citations from relevant papers and reviews. Study Eligibility Criteria We included randomized controlled trials (RCTs) comparing exercise interventions to usual care in cancer survivors, utilizing a self-report inventory or clinician rating to assess depressive symptoms, and reporting symptoms pre- and post-intervention. Study Appraisal 7,042 study titles were identified and screened, with 15 RCTs included. Synthesis Methods Effect sizes (ES) were reported as mean change scores. The Q test was conducted to evaluate heterogeneity of ES. Potential moderator variables were evaluated with examination of scatter plots and Wilcoxon rank-sum or Kruskal-Wallis tests. Results The overall ES, under a random effects model, was −0.22 (CI −0.43, −0.09, p = 0.04). Significant moderating variables (ps < .05) were exercise location, exercise supervision, and exercise duration. Limitations Only one study identified depression as the primary endpoint. Conclusions Exercise has modest positive effects on depressive symptoms with larger effects for programs that were supervised or partially supervised, not performed at home, and at least 30 minutes in duration. Impact Our results complement other studies showing that exercise is associated with reduced pain and fatigue and with improvements in quality of life among cancer survivors. PMID:22068286
Sirola-Karvinen, Pirjo; Hyrkäs, Kristiina
2006-11-01
The aim of this systematic literature review was to describe administrative clinical supervision from the nursing leaders', directors' and administrators' perspective. Administrative clinical supervision is a timely and important topic as organizational structures in health care and nursing leadership are changing in addition to the increasing number of complex challenges present in health care. The material in this review was drawn from national and international databases including doctoral dissertations, distinguished thesis and peer-reviewed articles. The material was analysed by means of content analysis. The theoretical framework for the analysis was based on the three main functions of clinical supervision: administrative, educational and supportive. The findings demonstrated that the experiences of the administrative clinical supervision and its supportiveness were varying. The intervention was seen to provide versatility of learning experiences and support in challenging work experiences. Administrative clinical supervision effects and assures the quality of care. The effects as a means of development were explained through its resemblance to a leading specialist community. The findings support earlier perceptions concerning the importance and significance of administrative clinical supervision for nursing managers and administrators. However, more research is needed to develop administrative clinical supervision and to increase understanding of theoretical assumptions and relationships of the concepts on the background.
Visualization techniques for computer network defense
NASA Astrophysics Data System (ADS)
Beaver, Justin M.; Steed, Chad A.; Patton, Robert M.; Cui, Xiaohui; Schultz, Matthew
2011-06-01
Effective visual analysis of computer network defense (CND) information is challenging due to the volume and complexity of both the raw and analyzed network data. A typical CND is comprised of multiple niche intrusion detection tools, each of which performs network data analysis and produces a unique alerting output. The state-of-the-practice in the situational awareness of CND data is the prevalent use of custom-developed scripts by Information Technology (IT) professionals to retrieve, organize, and understand potential threat events. We propose a new visual analytics framework, called the Oak Ridge Cyber Analytics (ORCA) system, for CND data that allows an operator to interact with all detection tool outputs simultaneously. Aggregated alert events are presented in multiple coordinated views with timeline, cluster, and swarm model analysis displays. These displays are complemented with both supervised and semi-supervised machine learning classifiers. The intent of the visual analytics framework is to improve CND situational awareness, to enable an analyst to quickly navigate and analyze thousands of detected events, and to combine sophisticated data analysis techniques with interactive visualization such that patterns of anomalous activities may be more easily identified and investigated.
Hellström-Hyson, Eva; Mårtensson, Gunilla; Kristofferzon, Marja-Leena
2012-01-01
The present study aimed at describing how nursing students engaged in their clinical practice experienced two models of supervision: supervision on student wards and traditional supervision. Supervision for nursing students in clinical practice can be organized in different ways. In the present study, parts of nursing students' clinical practice were carried out on student wards in existing hospital departments. The purpose was to give students the opportunity to assume greater responsibility for their clinical education and to apply the nursing process more independently through peer learning. A descriptive design with a qualitative approach was used. Interviews were carried out with eight nursing students in their final semester of a 3-year degree program in nursing. The data were analyzed using content analysis. Two themes were revealed in the data analysis: When supervised on the student wards, nursing students experienced assuming responsibility and finding one's professional role, while during traditional supervision, they experienced being an onlooker and having difficulties assuming responsibility. Supervision on a student ward was found to give nursing students a feeling of acknowledgment and more opportunities to develop independence, continuity, cooperation and confidence. Copyright © 2011 Elsevier Ltd. All rights reserved.
[Nurse supervision in health basic units].
Correia, Valesca Silveira; Servo, Maria Lúcia Silva
2006-01-01
This qualitative study intends to evaluate the pattern of supervision of the nurse in health basic units, in Feira de Santana city (Bahía-Brasil), between August 2001 and June 2002. The objective was to describe the supervision and the existence of supervision systematics for the nurse. A questionnaire was used to take informations from a group of sixteen (16) nurses in actual professional work. Descriptive statistical procedures for data analysis were used. It can be concluded that systematic supervision is practiced in 64% of the nurses and in 36% of the cases systematic supervision do not occur.
William H. Cooke; Dennis M. Jacobs
2002-01-01
FIA annual inventories require rapid updating of pixel-based Phase 1 estimates. Scientists at the Southern Research Station are developing an automated methodology that uses a Normalized Difference Vegetation Index (NDVI) for identifying and eliminating problem FIA plots from the analysis. Problem plots are those that have questionable land useiland cover information....
Networks of Professional Supervision
ERIC Educational Resources Information Center
Annan, Jean; Ryba, Ken
2013-01-01
An ecological analysis of the supervisory activity of 31 New Zealand school psychologists examined simultaneously the theories of school psychology, supervision practices, and the contextual qualities that mediated participants' supervisory actions. The findings indicated that the school psychologists worked to achieve the supervision goals of…
New graduate transition to practice: how can the literature inform support strategies?
Moores, Alis; Fitzgerald, Cate
2017-07-01
Objective The transition to practice for new graduate health professionals has been identified as challenging, with health services typically adopting a range of support and management strategies to assist safe professional practice. Queensland's state-wide Occupational Therapy Clinical Education Program supporting new graduates within public sector health facilities conducted a narrative literature review to identify evidence-based recommended actions that would assist new graduate occupational therapists' to transition from student to practitioner. Method Searches of Medline, CINAHL and PubMed databases were used to locate articles describing or evaluating occupational therapy new graduate support actions. Results The themes of supervision, support and education emerged from the literature. Additionally, four interactions were identified as factors potentially influencing and being influenced by the processes and outcomes of supervision, support and education actions. The interactions identified were professional reasoning, professional identity, an active approach to learning and reflective practice. Conclusions The interactions emerging from the literature will serve to inform the delivery and focus of supervision, support and education for new graduate occupational therapists as they transition to practice. The results may have application for other health professions. What is known about the topic? The transition to practice for new graduate occupational therapists has been reported as challenging with health services implementing various actions to support and assist this transition. A previous literature review of recommended support strategies could not be found providing an impetus for this enquiry. What does this paper add? This narrative literature review identified three themes of actions supporting the transition of new graduates from student to practitioner. In addition to these themes of supervision, support and education, also emerging from the literature were factors identified as important to facilitating the transition of new graduates to the workplace. These factors, or interactions, are identified in this paper as professional reasoning, professional identity, an active approach to learning, and reflective practice. It is proposed that these interactions have an effect on and can be effected by supervision, support and education actions. The articulation between the interactions and the themes was a notable outcome emerging from this literature review. What are the implications for practitioners? This literature review will assist those planning actions to guide new graduates' transition into practice. It is proposed that the methods of implementing supervision, support and education actions are optimised by the identified interactions.
Milestone Ratings and Supervisory Role Categorizations Swim Together, but is the Water Muddy?
Schumacher, Daniel J; Bartlett, Kathleen W; Elliott, Sean P; Michelson, Catherine; Sharma, Tanvi; Garfunkel, Lynn C; King, Beth; Schwartz, Alan
2018-06-17
This single specialty, multi-institutional study aimed to determine: 1) the association between milestone ratings for individual competencies and average milestone ratings (AMRs) and 2) the association between AMRs and recommended supervisory role categorizations made by individual clinical competency committee (CCC) members. During the 2015-16 academic year, CCC members at 14 pediatric residencies reported milestone ratings for 21 competencies and recommended supervisory role categories (may not supervise, may supervise in some settings, may supervise in all settings) for residents they reviewed. An exploratory factor analysis of competencies was conducted. The associations between individual competencies, the AMR, and supervisory role categorizations were determined by computing bivariate correlations. The relationship between AMRs and recommended supervisory role categorizations was examined using an ordinal mixed logistic regression model. 68/155 CCC members completed both milestone assignments and supervision categorizations for 451 residents. Factor analysis of individual competencies controlling for clustering of residents in raters and sites resulted in a single-factor solution (cumulative variance 0.75). All individual competencies had large positive correlations with the AMR (correlation coefficient: 0.84-0.93), except for two professionalism competencies (Prof1: 0.63 and Prof4: 0.65). When combined across training year and time points, the AMR and supervisory role categorization had a moderately positive correlation (0.56). This exploratory study identified a modest correlation between average milestone ratings and supervisory role categorization. Convergence of competencies on a single factor deserves further exploration, with possible rater effects warranting attention. Copyright © 2018. Published by Elsevier Inc.
A review of supervised object-based land-cover image classification
NASA Astrophysics Data System (ADS)
Ma, Lei; Li, Manchun; Ma, Xiaoxue; Cheng, Liang; Du, Peijun; Liu, Yongxue
2017-08-01
Object-based image classification for land-cover mapping purposes using remote-sensing imagery has attracted significant attention in recent years. Numerous studies conducted over the past decade have investigated a broad array of sensors, feature selection, classifiers, and other factors of interest. However, these research results have not yet been synthesized to provide coherent guidance on the effect of different supervised object-based land-cover classification processes. In this study, we first construct a database with 28 fields using qualitative and quantitative information extracted from 254 experimental cases described in 173 scientific papers. Second, the results of the meta-analysis are reported, including general characteristics of the studies (e.g., the geographic range of relevant institutes, preferred journals) and the relationships between factors of interest (e.g., spatial resolution and study area or optimal segmentation scale, accuracy and number of targeted classes), especially with respect to the classification accuracy of different sensors, segmentation scale, training set size, supervised classifiers, and land-cover types. Third, useful data on supervised object-based image classification are determined from the meta-analysis. For example, we find that supervised object-based classification is currently experiencing rapid advances, while development of the fuzzy technique is limited in the object-based framework. Furthermore, spatial resolution correlates with the optimal segmentation scale and study area, and Random Forest (RF) shows the best performance in object-based classification. The area-based accuracy assessment method can obtain stable classification performance, and indicates a strong correlation between accuracy and training set size, while the accuracy of the point-based method is likely to be unstable due to mixed objects. In addition, the overall accuracy benefits from higher spatial resolution images (e.g., unmanned aerial vehicle) or agricultural sites where it also correlates with the number of targeted classes. More than 95.6% of studies involve an area less than 300 ha, and the spatial resolution of images is predominantly between 0 and 2 m. Furthermore, we identify some methods that may advance supervised object-based image classification. For example, deep learning and type-2 fuzzy techniques may further improve classification accuracy. Lastly, scientists are strongly encouraged to report results of uncertainty studies to further explore the effects of varied factors on supervised object-based image classification.
Hill, Zelee; Dumbaugh, Mari; Benton, Lorna; Källander, Karin; Strachan, Daniel; Asbroek, Augustinus ten; Tibenderana, James; Kirkwood, Betty; Meek, Sylvia
2014-01-01
Background Community health workers (CHWs) are an increasingly important component of health systems and programs. Despite the recognized role of supervision in ensuring CHWs are effective, supervision is often weak and under-supported. Little is known about what constitutes adequate supervision and how different supervision strategies influence performance, motivation, and retention. Objective To determine the impact of supervision strategies used in low- and middle-income countries and discuss implementation and feasibility issues with a focus on CHWs. Design A search of peer-reviewed, English language articles evaluating health provider supervision strategies was conducted through November 2013. Included articles evaluated the impact of supervision in low- or middle-income countries using a controlled, pre-/post- or observational design. Implementation and feasibility literature included both peer-reviewed and gray literature. Results A total of 22 impact papers were identified. Papers were from a range of low- and middle-income countries addressing the supervision of a variety of health care providers. We classified interventions as testing supervision frequency, the supportive/facilitative supervision package, supervision mode (peer, group, and community), tools (self-assessment and checklists), focus (quality assurance/problem solving), and training. Outcomes included coverage, performance, and perception of quality but were not uniform across studies. Evidence suggests that improving supervision quality has a greater impact than increasing frequency of supervision alone. Supportive supervision packages, community monitoring, and quality improvement/problem-solving approaches show the most promise; however, evaluation of all strategies was weak. Conclusion Few supervision strategies have been rigorously tested and data on CHW supervision is particularly sparse. This review highlights the diversity of supervision approaches that policy makers have to choose from and, while choices should be context specific, our findings suggest that high-quality supervision that focuses on supportive approaches, community monitoring, and/or quality assurance/problem solving may be most effective. PMID:24815075
Ludwick, Teralynn; Turyakira, Eleanor; Kyomuhangi, Teddy; Manalili, Kimberly; Robinson, Sheila; Brenner, Jennifer L
2018-02-13
While evidence supports community health worker (CHW) capacity to improve maternal and newborn health in less-resourced countries, key implementation gaps remain. Tools for assessing CHW performance and evidence on what programmatic components affect performance are lacking. This study developed and tested a qualitative evaluative framework and tool to assess CHW team performance in a district program in rural Uganda. A new assessment framework was developed to collect and analyze qualitative evidence based on CHW perspectives on seven program components associated with effectiveness (selection; training; community embeddedness; peer support; supportive supervision; relationship with other healthcare workers; retention and incentive structures). Focus groups were conducted with four high/medium-performing CHW teams and four low-performing CHW teams selected through random, stratified sampling. Content analysis involved organizing focus group transcripts according to the seven program effectiveness components, and assigning scores to each component per focus group. Four components, 'supportive supervision', 'good relationships with other healthcare workers', 'peer support', and 'retention and incentive structures' received the lowest overall scores. Variances in scores between 'high'/'medium'- and 'low'-performing CHW teams were largest for 'supportive supervision' and 'good relationships with other healthcare workers.' Our analysis suggests that in the Bushenyi intervention context, CHW team performance is highly correlated with the quality of supervision and relationships with other healthcare workers. CHWs identified key performance-related issues of absentee supervisors, referral system challenges, and lack of engagement/respect by health workers. Other less-correlated program components warrant further study and may have been impacted by relatively consistent program implementation within our limited study area. Applying process-oriented measurement tools are needed to better understand CHW performance-related factors and build a supportive environment for CHW program effectiveness and sustainability. Findings from a qualitative, multi-component tool developed and applied in this study suggest that factors related to (1) supportive supervision and (2) relationships with other healthcare workers may be strongly associated with variances in performance outcomes within a program. Careful consideration of supervisory structure and health worker orientation during program implementation are among strategies proposed to increase CHW performance.
Wellness Model of Supervision: A Comparative Analysis
ERIC Educational Resources Information Center
Lenz, A. Stephen; Sangganjanavanich, Varunee Faii; Balkin, Richard S.; Oliver, Marvarene; Smith, Robert L.
2012-01-01
This quasi-experimental study compared the effectiveness of the Wellness Model of Supervision (WELMS; Lenz & Smith, 2010) with alternative supervision models for developing wellness constructs, total personal wellness, and helping skills among counselors-in-training. Participants were 32 master's-level counseling students completing their…
Bridging the training-practice gap in interprofessional student supervision.
Martin, Priya; Kumar, Saravana; Abernathy, LuJuana
2017-04-01
Workforce recruitment and retention issues are common in highly dispersed regions such as Queensland in Australia. Provision of student placements in these non-metropolitan areas is one way of promoting staff recruitment. However, healthcare professionals in these areas face a number of challenges in accessing training opportunities including student supervision training. Funding was made available to develop and run a series of targeted, evidence-based, interprofessional student supervision workshops in non-metropolitan Queensland. Workshop participants were health professionals from both public and private health service providers in Queensland. Using a pre-post design, anonymous data were collected through surveys administered before and after workshop participation. Descriptive statistics were used to analyze participant information. Free text responses were categorized using an iterative process to identify prevalent themes. A total of 147 participants attended nine face-to-face workshops and provided data. Allied health participants represented 70% of the population, with the remainder largely from nursing, medicine and dentistry. There was a positive shift in self-reported level of confidence in student supervision following training. Of the participants 143 (97%) reported that they acquired new skills and knowledge from training. A number of enablers of and barriers to translation of learning to practice following interprofessional student supervision training were identified. Targeted interprofessional student supervision training is valuable and can increase participants' self-reported level of confidence in student supervision. It is recommended that health organizations promote a culture of providing positive student placement experiences in order to maximize future workforce opportunities.
Integrative gene network construction to analyze cancer recurrence using semi-supervised learning.
Park, Chihyun; Ahn, Jaegyoon; Kim, Hyunjin; Park, Sanghyun
2014-01-01
The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses only a few labeled samples. Semi-supervised learning can be a great alternative to solve this problem. There have been few attempts based on manifold assumptions to reveal the detailed roles of identified cancer genes in recurrence. In order to predict cancer recurrence, we proposed a novel semi-supervised learning algorithm based on a graph regularization approach. We transformed the gene expression data into a graph structure for semi-supervised learning and integrated protein interaction data with the gene expression data to select functionally-related gene pairs. Then, we predicted the recurrence of cancer by applying a regularization approach to the constructed graph containing both labeled and unlabeled nodes. The average improvement rate of accuracy for three different cancer datasets was 24.9% compared to existing supervised and semi-supervised methods. We performed functional enrichment on the gene networks used for learning. We identified that those gene networks are significantly associated with cancer-recurrence-related biological functions. Our algorithm was developed with standard C++ and is available in Linux and MS Windows formats in the STL library. The executable program is freely available at: http://embio.yonsei.ac.kr/~Park/ssl.php.
Mkumbo, Elibariki; Hanson, Claudia; Penfold, Suzanne; Manzi, Fatuma; Schellenberg, Joanna
2014-12-01
Home visits by community health workers may help to improve newborn survival, but sustained high-quality supervision of community volunteers is challenging. To compare facility-led and community-linked supervision approaches of 824 community health volunteers working to improve newborn care in Southern Tanzania. Using a before-after design, we compared 6 months of supervision reports from each approach. During the community-linked approach over 50 times more supervision contacts were recorded than during the facility-only supervision approach (1.04 contacts per volunteer per month vs 0.02), and the volunteer-supervisor ratio reduced from 7.8 to 1.6. Involving community leaders has the potential to improve supervision of community health volunteers. ClinicalTrials.gov Identifier: NCT01022788; http://clinicaltrials.gov/ct2/show/NCT01022788?term=INSIST&rank=1. © The Author 2014. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Semi-supervised classification tool for DubaiSat-2 multispectral imagery
NASA Astrophysics Data System (ADS)
Al-Mansoori, Saeed
2015-10-01
This paper addresses a semi-supervised classification tool based on a pixel-based approach of the multi-spectral satellite imagery. There are not many studies demonstrating such algorithm for the multispectral images, especially when the image consists of 4 bands (Red, Green, Blue and Near Infrared) as in DubaiSat-2 satellite images. The proposed approach utilizes both unsupervised and supervised classification schemes sequentially to identify four classes in the image, namely, water bodies, vegetation, land (developed and undeveloped areas) and paved areas (i.e. roads). The unsupervised classification concept is applied to identify two classes; water bodies and vegetation, based on a well-known index that uses the distinct wavelengths of visible and near-infrared sunlight that is absorbed and reflected by the plants to identify the classes; this index parameter is called "Normalized Difference Vegetation Index (NDVI)". Afterward, the supervised classification is performed by selecting training homogenous samples for roads and land areas. Here, a precise selection of training samples plays a vital role in the classification accuracy. Post classification is finally performed to enhance the classification accuracy, where the classified image is sieved, clumped and filtered before producing final output. Overall, the supervised classification approach produced higher accuracy than the unsupervised method. This paper shows some current preliminary research results which point out the effectiveness of the proposed technique in a virtual perspective.
Katikireddi, Srinivasa Vittal; Reilly, Jacqueline
2017-09-01
A dissertation is often a core component of the Masters in Public Health (MPH) qualification. This study aims to explore its purpose, from the perspective of both students and supervisors, and identify practices viewed as constituting good supervision. A multi-perspective qualitative study drawing on in-depth one-to-one interviews with MPH supervisors (n = 8) and students (n = 10), with data thematically analysed. The MPH dissertation was viewed as providing generic as well as discipline-specific knowledge and skills. It provided an opportunity for in-depth study on a chosen topic but different perspectives were evident as to whether the project should be grounded in public health practice rather than academia. Good supervision practice was thought to require topic knowledge, generic supervision skills (including clear communication of expectations and timely feedback) and adaptation of supervision to meet student needs. Two ideal types of the MPH dissertation process were identified. Supervisor-led projects focus on achieving a clearly defined output based on a supervisor-identified research question and aspire to harmonize research and teaching practice, but often have a narrower focus. Student-led projects may facilitate greater learning opportunities and better develop skills for public health practice but could be at greater risk of course failure. © The Author 2016. Published by Oxford University Press on behalf of Faculty of Public Health.
Exploring paraprofessional and classroom factors affecting teacher supervision.
Irvin, Dwight W; Ingram, Paul; Huffman, Jonathan; Mason, Rose; Wills, Howard
2018-02-01
Paraprofessionals serve a primary role in supporting students with disabilities in the classroom, which necessitates teachers' supervision as a means to improve their practice. Yet, little is known regarding what factors affect teacher supervision. We sought to identify how paraprofessional competence and classroom type affected the levels of teacher direction. We administered an adapted version of the Paraprofessional Needs, Knowledge & Tasks Survey and the Survey for Teachers Supervising Paraprofessionals to teachers supervising paraprofessionals in elementary schools. Structural Equation Modeling was used to examine the link between paraprofessional competence and classroom factors affecting the level of teacher supervision. Our results indicated that when teachers perceived paraprofessionals as being more skilled, they provided more supervision, and when more supervision was provided the less they thought paraprofessionals should be doing their assigned tasks. Additionally, paraprofessionals working in classrooms with more students with mild disabilities received less supervision than paraprofessionals working in classrooms with more students with moderate-to-severe disabilities. Those paraprofessionals in classrooms serving mostly children with mild disabilities were also perceived as having lower levels of skill competence than those serving in classrooms with students with more moderate-to-severe disabilities. By understanding the factors that affect teacher supervision, policy and professional development opportunities can be refined/developed to better support both supervising teachers and paraprofessionals and, in turn, improve the outcomes of children with disabilities. Copyright © 2017 Elsevier Ltd. All rights reserved.
Asiimwe, Stephen; Oloya, James; Song, Xiao; Whalen, Christopher C
2014-12-01
Unsupervised HIV self-testing (HST) has potential to increase knowledge of HIV status; however, its accuracy is unknown. To estimate the accuracy of unsupervised HST in field settings in Uganda, we performed a non-blinded, randomized controlled, non-inferiority trial of unsupervised compared with supervised HST among selected high HIV risk fisherfolk (22.1 % HIV Prevalence) in three fishing villages in Uganda between July and September 2013. The study enrolled 246 participants and randomized them in a 1:1 ratio to unsupervised HST or provider-supervised HST. In an intent-to-treat analysis, the HST sensitivity was 90 % in the unsupervised arm and 100 % among the provider-supervised, yielding a difference 0f -10 % (90 % CI -21, 1 %); non-inferiority was not shown. In a per protocol analysis, the difference in sensitivity was -5.6 % (90 % CI -14.4, 3.3 %) and did show non-inferiority. We conclude that unsupervised HST is feasible in rural Africa and may be non-inferior to provider-supervised HST.
Bouchard, Jessica; Wong, Jennifer S
2018-05-01
Community correctional sentences are administered to more juvenile offenders in North America than any other judicial sentence. Particularly prominent in juvenile corrections is intensive supervision probation and aftercare/reentry, yet the effects of these supervision-oriented interventions on recidivism are mixed. The purpose of this meta-analysis is to determine the effects of intensive supervision probation and aftercare/reentry on juvenile recidivism. An extensive search of the literature and application of strict inclusion criteria resulted in the selection of 27 studies that contributed 55 individual effect sizes. Studies were pooled based on intervention type (intensive supervision probation or aftercare/reentry) and outcome measure (alleged or convicted offenses). The pooled analyses yielded contradictory results with respect to outcome measure; in both cases, supervision had a beneficial effect on alleged offenses and negatively affected convicted offenses. These patterns across intervention type and outcome measure, as well as recommendations for future research, are discussed.
Kuhn, Andrew Warren; Solomon, Gary S
2014-01-01
Computerized neuropsychological testing batteries have provided a time-efficient and cost-efficient way to assess and manage the neurocognitive aspects of patients with sport-related concussion. These tests are straightforward and mostly self-guided, reducing the degree of clinician involvement required by traditional clinical neuropsychological paper-and-pencil tests. To determine if self-reported supervision status affected computerized neurocognitive baseline test performance in high school athletes. Retrospective cohort study. Supervised testing took place in high school computer libraries or sports medicine clinics. Unsupervised testing took place at the participant's home or another location with computer access. From 2007 to 2012, high school athletes across middle Tennessee (n = 3771) completed computerized neurocognitive baseline testing (Immediate Post-Concussion Assessment and Cognitive Testing [ImPACT]). They reported taking the test either supervised by a sports medicine professional or unsupervised. These athletes (n = 2140) were subjected to inclusion and exclusion criteria and then matched based on age, sex, and number of prior concussions. We extracted demographic and performance-based data from each de-identified baseline testing record. Paired t tests were performed between the self-reported supervised and unsupervised groups, comparing the following ImPACT baseline composite scores: verbal memory, visual memory, visual motor (processing) speed, reaction time, impulse control, and total symptom score. For differences that reached P < .05, the Cohen d was calculated to measure the effect size. Lastly, a χ(2) analysis was conducted to compare the rate of invalid baseline testing between the groups. All statistical tests were performed at the 95% confidence interval level. Self-reported supervised athletes demonstrated better visual motor (processing) speed (P = .004; 95% confidence interval [0.28, 1.52]; d = 0.12) and faster reaction time (P < .001; 95% confidence interval [-0.026, -0.014]; d = 0.21) composite scores than self-reported unsupervised athletes. Speed-based tasks were most affected by self-reported supervision status, although the effect sizes were relatively small. These data lend credence to the hypothesis that supervision status may be a factor in the evaluation of ImPACT baseline test scores.
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection.
Noto, Keith; Brodley, Carla; Slonim, Donna
2012-01-01
Anomaly detection involves identifying rare data instances (anomalies) that come from a different class or distribution than the majority (which are simply called "normal" instances). Given a training set of only normal data, the semi-supervised anomaly detection task is to identify anomalies in the future. Good solutions to this task have applications in fraud and intrusion detection. The unsupervised anomaly detection task is different: Given unlabeled, mostly-normal data, identify the anomalies among them. Many real-world machine learning tasks, including many fraud and intrusion detection tasks, are unsupervised because it is impractical (or impossible) to verify all of the training data. We recently presented FRaC, a new approach for semi-supervised anomaly detection. FRaC is based on using normal instances to build an ensemble of feature models, and then identifying instances that disagree with those models as anomalous. In this paper, we investigate the behavior of FRaC experimentally and explain why FRaC is so successful. We also show that FRaC is a superior approach for the unsupervised as well as the semi-supervised anomaly detection task, compared to well-known state-of-the-art anomaly detection methods, LOF and one-class support vector machines, and to an existing feature-modeling approach.
FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection
Brodley, Carla; Slonim, Donna
2011-01-01
Anomaly detection involves identifying rare data instances (anomalies) that come from a different class or distribution than the majority (which are simply called “normal” instances). Given a training set of only normal data, the semi-supervised anomaly detection task is to identify anomalies in the future. Good solutions to this task have applications in fraud and intrusion detection. The unsupervised anomaly detection task is different: Given unlabeled, mostly-normal data, identify the anomalies among them. Many real-world machine learning tasks, including many fraud and intrusion detection tasks, are unsupervised because it is impractical (or impossible) to verify all of the training data. We recently presented FRaC, a new approach for semi-supervised anomaly detection. FRaC is based on using normal instances to build an ensemble of feature models, and then identifying instances that disagree with those models as anomalous. In this paper, we investigate the behavior of FRaC experimentally and explain why FRaC is so successful. We also show that FRaC is a superior approach for the unsupervised as well as the semi-supervised anomaly detection task, compared to well-known state-of-the-art anomaly detection methods, LOF and one-class support vector machines, and to an existing feature-modeling approach. PMID:22639542
Gender and Power in Counselling and Supervision.
ERIC Educational Resources Information Center
Taylor, Maye
1994-01-01
Addresses the need to reflect on how the dynamics of gender and power can be articulated together and adversely affect counseling and supervision relationships. Suggests incorporating a social analysis into supervision to help counselors clarify the political nature of some therapeutic issues, thus addressing gender stereotypes. Supports a…
Wellness Model of Supervision: A Preliminary Analysis
ERIC Educational Resources Information Center
Lenz, Alan Stephen, Jr.
2011-01-01
This study compared the effectiveness of the Wellness Model of Supervision (WELMS; Lenz & Smith, 2010) against other models of supervision for developing the wellness constructs, total personal wellness, and helping skills among CITs. Participants in were 44 masters level Caucasian counseling students (9 men) completing their practicum and…
William H. Cooke; Dennis M. Jacobs
2005-01-01
FIA annual inventories require rapid updating of pixel-based Phase 1 estimates. Scientists at the Southern Research Station are developing an automated methodology that uses a Normalized Difference Vegetation Index (NDVI) for identifying and eliminating problem FIA plots from the analysis. Problem plots are those that have questionable land use/land cover information....
Mueller, Gerhard; Mylonas, Demetrius; Schumacher, Petra
2018-07-01
Within nursing education, the clinical learning environment is of a high importance in regards to the development of competencies and abilities. The organization, atmosphere, and supervision in the clinical learning environment are only a few factors that influence this development. In Austria there is currently no valid instrument available for the evaluation of influencing factors. The aim of the study was to test the construct validity with principal component analysis as well as the internal consistency of the German Clinical Learning Environment, Supervision and Teacher Scale (CLES+T scale) in Austria. The present validation study has a descriptive-quantitative cross-sectional design. The sample consisted of 385 nursing students from thirteen training institutions in Austria. The data collection was carried out online between March and April 2016. Starting with a polychoric correlation matrix, a parallel analysis with principal component extraction and promax rotation was carried out due to the ordinal data. The exploratory ordinal factor analysis supported a four-component solution and explained 73% of the total variance. The internal consistency of all 25 items reached a Cronbach's α of 0.95 and the four components ranged between 0.83 and 0.95. The German version of the CLES+T scale seems to be a useful instrument for identifying potential areas of improvement in clinical practice in order to derive specific quality measures for the practical learning environment. Copyright © 2018 Elsevier Ltd. All rights reserved.
Postgraduate Research Supervision: A Critical Review of Current Practice
ERIC Educational Resources Information Center
McCallin, Antoinette; Nayar, Shoba
2012-01-01
Changes in the funding and delivery of research programmes at the university level have, in recent years, resulted in significant changes to research supervision. This paper critically reviews key influences effecting postgraduate supervision. Analysis draws on literature spanning 2000-2010 to determine the appropriateness of traditional models of…
ERIC Educational Resources Information Center
Ilgan, Abdurrahman; Parylo, Oksana; Sungu, Hilmi
2015-01-01
This quantitative research examined instructional supervision behaviours of school principals as a predictor of teacher job satisfaction through the analysis of Turkish teachers' perceptions of principals' instructional supervision behaviours. There was a statistically significant difference found between the teachers' job satisfaction level and…
Hill, Hamish R M; Crowe, Trevor P; Gonsalvez, Craig J
2016-01-01
To pilot an intervention involving reflective dialogue based on video recordings of clinical supervision. Fourteen participants (seven psychotherapists and their supervisors) completed a reflective practice protocol after viewing a video of their most recent supervision session, then shared their reflections in a second session. Thematic analysis of individual reflections and feedback resulted in the following dominant themes: (1) Increased discussion of supervisee anxiety and the tensions between autonomy and dependence; (2) intentions to alter supervisory roles and practice; (3) identification of and reflection on parallel process (defined as the dynamic transmission of relationship patterns between therapy and supervision); and (4) a range of perceived impacts including improvements in supervisory alliance. The results suggest that reflective dialogue based on supervision videos can play a useful role in psychotherapy supervision, including with relatively inexperienced supervisees. Suggestions are provided for the encouragement of ongoing reflective dialogue in routine supervision practice.
Dexter, Franklin; Szeluga, Debra; Hindman, Bradley J
2017-05-01
Anesthesiology departments need an instrument with which to assess practicing anesthesiologists' professionalism. The purpose of this retrospective analysis of the content of a cohort of resident evaluations of faculty anesthesiologists was to investigate the relationship between a clinical supervision scale and the multiple attributes of professionalism. From July 1, 2013 to the present, our department has utilized the de Oliveira Filho unidimensional nine-item supervision scale to assess the quality of clinical supervision of residents provided by our anesthesiologists. The "cohort" we examined included all 13,664 resident evaluations of all faculty anesthesiologists from July 1, 2013 through December 31, 2015, including 1,387 accompanying comments. Words and phrases associated with the core competency of professionalism were obtained from previous studies, and the supervision scale was analyzed for the presence of these words and phrases. The supervision scale assesses some attributes of anesthesiologists' professionalism as well as patient care and procedural skills and interpersonal and communication skills. The comments that residents provided with the below-average supervision scores included attributes of professionalism, although numerous words and phrases related to professionalism were not present in any of the residents' comments. The de Oliveira Filho clinical supervision scale includes some attributes of anesthesiologists' professionalism. The core competency of professionalism, however, is multidimensional, and the supervision scale and/or residents' comments did not address many of the other established attributes of professionalism.
Sánchez-López, Elena; Marcos, Alberto; Ambrosio, Emilio; Mayboroda, Oleg A; Marina, María Luisa; Crego, Antonio L
2017-06-05
Alcohol is the most widely consumed legal drug, whereas cocaine is the illicit psychostimulant most commonly used in Europe. The combined use of alcohol and cocaine is frequent among drug-abuse consumers and leads to further exacerbation of health consequences compared to individual consumption. The pharmacokinetic and metabolic interactions leading to an increase in their combined toxicity still remains poorly understood. Here, the first metabolomics study of combined cocaine and ethanol chronic exposure effects is reported. A Liquid Chromatography strategy based on sample derivatization with 9-fluorenylmethyloxycarbonyl chloride and using a C18 column coupled to high resolution Mass Spectrometry (time of flight analyzer) was employed to analyze plasma from rats exposed intravenously to these drugs in a 52-min analysis. Using a combination of non-supervised and supervised multivariate analysis the metabolic differences between our experimental groups were explored and unraveled. A comparative analysis of the individual models and their variable importance in the projection values have shown that every experiment intervention includes a subset of specific metabolites. Eleven of these metabolites were annotated, where eight were unequivocally identified using standards and three were tentatively identified by matching the MS/MS spectra to libraries. The results demonstrated that the affected metabolic pathways were mainly those related to the metabolism of different amino acids. Copyright © 2017 Elsevier B.V. All rights reserved.
McMahon, Aisling; Errity, Darina
2014-01-01
This study aimed to provide the first detailed survey of Irish psychologists' supervision practices as well as to identify what is related to satisfaction with supervisory support and to confidence in providing supervision. An online survey was distributed nationwide to Irish psychologists. Participants were mostly clinical and counselling psychologists. Three-quarters of the participants constituted 51% of the total population of Irish health service psychologists, the remainder working in various non-health service settings. The results showed that most Irish psychologists attend supervision but at a low frequency, typically once monthly. One-third were dissatisfied with their supervision, greater satisfaction being related to having more frequent clinical supervision and having external individual clinical supervision. Having a safe and trustworthy relationship with supervisors was a dominant issue, and two-thirds of psychologists wanted separation of their clinical and line management supervision. Although 70% were supervisors, only 40% were confident in their supervisory skills and just 16% had formal supervisor training. Independent predictors of supervisory confidence were experience as a psychologist, having formal supervisor training, experience as a supervisor and confidence as a therapist. A novel finding was that longer experience of personal therapy was related to greater confidence as a supervisor. This study indicates the need for access to more frequent clinical supervision to be facilitated for psychologists and for there to be clear separation of line management and clinical supervision. It is also essential that more resources are put into training supervisors. While most psychologists are engaged in supervision, frequency of attendance is low, with more satisfied psychologists having more frequent supervision. Most psychologists want separation of their clinical and line management supervision and have a preference for external supervision, safe and trustworthy relationships with supervisors being their primary concern. Only 16% of psychologists had formal training in supervision but having such training significantly contributed to greater confidence as a supervisor, indicating an urgent need to provide more supervisor training for psychologists. Copyright © 2013 John Wiley & Sons, Ltd.
Application of remote sensing to state and regional problems
NASA Technical Reports Server (NTRS)
Miller, W. F. (Principal Investigator); Quattrochi, D. A.; Carter, B. D.; Higgs, G. K.; Solomon, J. L.; Wax, C. L.
1979-01-01
The author has identified the following significant results. The Lowndes County data base is essentially complete with 18 primary variables and 16 proximity variables encoded into the geo-information system. The single purpose, decision tree classifier is now operational. Signatures for the thematic extraction of strip mines from LANDSAT Digital data were obtained by employing both supervised and nonsupervised procedures. Dry, blowing sand areas of beach were also identified from the LANDSAT data. The primary procedure was the analysis of analog data on the I2S signal slicer.
Synthesis of Contemporary SAE Research 1994-2014
ERIC Educational Resources Information Center
Rank, Bryan D.; Retallick, Michael S.
2016-01-01
In the 1990s, a series of research syntheses were conducted regarding supervised agricultural experience. These syntheses included supervised agricultural experience (SAE) research from 1964 through 1993. With these past syntheses as the premise, contemporary SAE research was identified, synthesized, and coded into emerging themes. Inclusion…
Implementing a sustainable clinical supervision model for Isles nurses in Orkney.
Hall, Ian
2018-03-02
The Isles Network of Care (INOC) community nurses work at the extreme of the remote and rural continuum, working mostly as lone practitioners. Following the development of sustainable clinical supervision model for Isles nurses in Orkney, clinical supervision was found to improve both peer support and governance for this group of isolated staff. A literature overview identified the transition of clinical supervision in general nursing over 24 years from 'carrot' to 'stick'. The study included a questionnaire survey that was sent to the 2017 Queen's Nursing Institute Scotland cohort to elicit information about the nurses' experience of clinical supervision. The survey found that 55% provide supervision and 40% receive it. Health board encouragement of its use was found to be disappointingly low at 40%. The INOC nurses were surveyed about the new peer-support (restorative) model, which relies on video-conference contact to allow face to face interaction between isolated isles nurses. Feedback prompted a review of clinical supervision pairings, and the frequency and methods of meeting. The need for supervisor training led to agreement with the Remote and Rural Health Education Alliance to provide relevant support. The perceived benefits of supervision included increased support and reflection, and improved relationships with isolated colleagues.
Swedberg, Lena; Chiriac, Eva Hammar; Törnkvist, Lena; Hylander, Ingrid
2013-05-23
Patients receiving home care are becoming increasingly dependent upon competent caregivers' 24-h availability due to their substantial care needs, often with advanced care and home care technology included. In Sweden, care is often carried out by municipality-employed paraprofessionals such as health care assistants (HC assistants) with limited or no health care training, performing advanced care without formal training or support. The aim of this study was to investigate the work experience of the HC assistants and to explore how they manage when delivering 24-h home care to patients with substantial care needs. Grounded theory methodology involving multiple data sources comprising interviews with HC assistants (n=19) and field observations in patients' homes was used to collect data and constant comparative analysis was used for analysis. The initial analysis revealed a number of barriers, competence gap; trapped in the home setting; poor supervision and unconnected to the patient care system, describing the risks associated with the situations of HC assistants working in home care, thus affecting their working conditions as well as the patient care. The core process identified was the HC assistants' strivings to combine safe home care with good working conditions by using compensatory processes. The four identified compensatory processes were: day-by-day learning; balancing relations with the patient; self-managing; and navigating the patient care system. By actively employing the compensatory processes, the HC assistants could be said to adopt an inclusive approach, by compensating for their own barriers as well as those of their colleagues' and taking overall responsibility for their workplace. In conclusion, the importance of supporting HC assistants in relation to their needs for training, supervision,and support from health care professionals must be addressed when organising 24-h home care to patients with substantial care needs in the future.
Supervisee self-disclosure: a clinical psychology perspective.
Spence, Nicola; Fox, John R E; Golding, Laura; Daiches, Anna
2014-01-01
Clinical supervision is a multi-functional intervention within numerous psychotherapeutic professions, including clinical psychology. It often relies on supervisees' verbal disclosures of pertinent information. There is limited research on supervisee self-disclosure in the UK, and none using clinical psychology populations. This study aimed to address the limitations in the evidence base. It used a constructivist grounded theory methodology to investigate qualified UK clinical psychologists' use of self-disclosure in supervision in order to develop a theoretical understanding of their self-disclosure processes. Ten clinical psychologists from various time points across the career span were recruited to the study. Four core conceptual categories were identified in the analysis as being integral to participants' decision-making processes: 'Setting the Scene', 'Supervisory Relationship', 'Using Self-disclosure' and 'Reviewing Outcome of Self-disclosure'. These four categories are comprised of a number of subcategories. The study's findings are compared with the current literature base, and it is argued that there are tensions with the scientist-practitioner model as it could be interpreted to encourage an expert stance, which may limit the self-disclosure of qualified supervisees. The implications of this perspective are discussed. Supervision is a key process in supporting qualified clinical psychologists and the use of disclosure appears to be important in facilitating useful supervision. It appears that clinical psychologists go through a number of complex processes in deciding whether to self disclose. Copyright © 2012 John Wiley & Sons, Ltd.
Buus, Niels; Gonge, Henrik
2009-08-01
The objective of this paper was to systematically review and critically evaluate all English language research papers reporting empirical studies of clinical supervision in psychiatric nursing. The first part of the search strategy was a combination of brief and building block strategies in the PubMed, CINAHL, and PsycINFO databases. The second part was a citation pearl growing strategy with reviews of 179 reference lists. In total, the search strategy demonstrated a low level of precision and a high level of recall. Thirty four articles met the criteria of the review and were systematically evaluated using three checklists. The findings were summarized by using a new checklist with nine overall questions regarding the studies' design, methods, findings, and limitations. The studies were categorized as: (i) effect studies; (ii) survey studies; (iii) interview studies; and (iv) case studies. In general, the studies were relatively small scale; they used relatively new and basic methods for data collection and analysis, and rarely included sufficient strategies for identifying confounding factors or how the researchers' preconceptions influenced the analyses. Empirical research of clinical supervision in psychiatric nursing was characterized by a basic lack of agreement about which models and instruments to use. Challenges and recommendations for future research are discussed. Clinical supervision in psychiatric nursing was commonly perceived as a good thing, but there was limited empirical evidence supporting this claim.
Choy-Brown, Mimi; Stanhope, Victoria; Tiderington, Emmy; Padgett, Deborah K
2016-07-01
Behavioral health organizations use clinical supervision to ensure professional development and practice quality. This qualitative study examined 35 service coordinators' perspectives on supervision in two distinct supportive housing program types (permanent and transitional). Thematic analysis of in-depth interviews yielded three contrast themes: support versus scrutiny, planned versus impromptu time, and housing first versus treatment first. Supervisory content and format resulted in differential perceptions of supervision, thereby influencing opportunities for learning. These findings suggest that unpacking discrete elements of supervision enactment in usual care settings can inform implementation of recovery-oriented practice.
Choy-Brown, Mimi; Stanhope, Victoria; Tiderington, Emmy; Padgett, Deborah K.
2015-01-01
Behavioral health organizations use clinical supervision to ensure professional development and practice quality. This qualitative study examined 35 service coordinators' perspectives on supervision in two distinct supportive housing program types (permanent and transitional). Thematic analysis of in-depth interviews yielded three contrast themes: support versus scrutiny, planned versus impromptu time, and Housing First versus Treatment First. Supervisory content and format resulted in differential perceptions of supervision, thereby influencing opportunities for learning. These findings suggest that unpacking discrete elements of supervision enactment in usual care settings can inform implementation of recovery-oriented practice. PMID:26066866
Yousefi, Alireza; Bazrafkan, Leila; Yamani, Nikoo
2015-07-01
The supervision of academic theses at the Universities of Medical Sciences is one of the most important issues with several challenges. The aim of the present study is to discover the nature of problems and challenges of thesis supervision in Iranian universities of medical sciences. The study was conducted with a qualitative method using conventional content analysis approach. Nineteen faculty members, using purposive sampling, and 11 postgraduate medical sciences students (Ph.D students and residents) were selected on the basis of theoretical sampling. The data were gathered through semi-structured interviews and field observations in Shiraz and Isfahan universities of medical sciences from September 2012 to December 2014. The qualitative content analysis was used with a conventional approach to analyze the data. While experiencing the nature of research supervision process, faculties and the students faced some complexities and challenges in the research supervision process. The obtained codes were categorized under 4 themes Based on the characteristics; included "contextual problem", "role ambiguity in thesis supervision", "poor reflection in supervision" and "ethical problems". The result of this study revealed that there is a need for more attention to planning and defining the supervisory, and research supervision. Also, improvement of the quality of supervisor and students relationship must be considered behind the research context improvement in research supervisory area.
Temane, Annie M; Poggenpoel, Marie; Myburgh, Chris P H
2014-04-07
Supervision forms an integral part of psychiatric nursing. The value of clinicalsupervision has been demonstrated widely in research. Despite efforts made toward advancedpsychiatric nursing, supervision seems to be non-existent in this field. The aim of this study was to explore and describe advanced psychiatric nursepractitioners' ideas and needs with regard to supervision in private practice in order tocontribute to the new efforts made in advanced psychiatric nursing in South Africa. A qualitative, descriptive, exploratory, and contextual design using a phenomenological approach as research method was utilised in this study. A purposive sampling was used. Eight advanced psychiatric nurse practitioners in private practice described their ideas and needs for supervision during phenomenological interviews. Tesch's method of open coding was utilised to analyse data. After data analysis the findings were recontextualised within literature. The data analysis generated the following themes - that the supervisor should have or possess: (a) professional competencies, (b) personal competencies and (c) specificfacilitative communication skills. The findings indicated that there was a need for supervision of advanced psychiatric nurse practitioners in private practice in South Africa. This study indicates that there is need for supervision and competent supervisors in private practice. Supervision can be beneficial with regard to developing a culture of support for advanced psychiatric practitioners in private practice and also psychiatric nurse practitioners.
Sul, Woo Jun; Cole, James R.; Jesus, Ederson da C.; Wang, Qiong; Farris, Ryan J.; Fish, Jordan A.; Tiedje, James M.
2011-01-01
High-throughput sequencing of 16S rRNA genes has increased our understanding of microbial community structure, but now even higher-throughput methods to the Illumina scale allow the creation of much larger datasets with more samples and orders-of-magnitude more sequences that swamp current analytic methods. We developed a method capable of handling these larger datasets on the basis of assignment of sequences into an existing taxonomy using a supervised learning approach (taxonomy-supervised analysis). We compared this method with a commonly used clustering approach based on sequence similarity (taxonomy-unsupervised analysis). We sampled 211 different bacterial communities from various habitats and obtained ∼1.3 million 16S rRNA sequences spanning the V4 hypervariable region by pyrosequencing. Both methodologies gave similar ecological conclusions in that β-diversity measures calculated by using these two types of matrices were significantly correlated to each other, as were the ordination configurations and hierarchical clustering dendrograms. In addition, our taxonomy-supervised analyses were also highly correlated with phylogenetic methods, such as UniFrac. The taxonomy-supervised analysis has the advantages that it is not limited by the exhaustive computation required for the alignment and clustering necessary for the taxonomy-unsupervised analysis, is more tolerant of sequencing errors, and allows comparisons when sequences are from different regions of the 16S rRNA gene. With the tremendous expansion in 16S rRNA data acquisition underway, the taxonomy-supervised approach offers the potential to provide more rapid and extensive community comparisons across habitats and samples. PMID:21873204
A comparison of dental hygienists' salaries to state dental supervision levels.
Catlett, April
2014-12-01
The purpose of this study is to evaluate the effect of dental supervision on registered dental hygienists' salaries in the 50 states and District of Columbia by comparing the average dental hygiene salaries from the largest metropolitan city within each state from May 2011, the most recent valid data, in relation to the required level of dental supervision. A retrospective contrasted-group quasi-experimental design analysis was conducted using the most current mean dental hygiene salaries for the largest metropolitan city within each state and the District of Columbia which was matched to the appropriate dental supervision level. In addition, a dental assisting salary control group was utilized and correlated to the appropriate dental hygienist salary in the same metropolitan city and state. Samples were obtained from the U.S. Department of Labor. A multivariate analysis of variance (MANOVA) statistical analysis was utilized to assess the relationship of the 5 levels of dentist supervision, with the registered dental hygienist salaries. The MANOVA analysis was also utilized to assess the control group, dental assistant salaries. No statistically significant results were found among the dental supervision levels on the measures of dental hygiene salaries and dental assistant salaries. Wilks's Λ=0.81, F (8, 90)=1.29, p=0.26. Analyses of variances (ANOVA) on the dependent variables were also conducted as follow-up tests to the MANOVA. Study results suggest dental hygienists who are required to have a dentist on the premises to complete any dental treatment obtain similar salaries to those dental hygienists who are allowed to work in some settings unsupervised by a dentist. Therefore, dental supervision does not seem to have an impact on dental hygienists' salaries. Copyright © 2014 The American Dental Hygienists’ Association.
Visualization Techniques for Computer Network Defense
DOE Office of Scientific and Technical Information (OSTI.GOV)
Beaver, Justin M; Steed, Chad A; Patton, Robert M
2011-01-01
Effective visual analysis of computer network defense (CND) information is challenging due to the volume and complexity of both the raw and analyzed network data. A typical CND is comprised of multiple niche intrusion detection tools, each of which performs network data analysis and produces a unique alerting output. The state-of-the-practice in the situational awareness of CND data is the prevalent use of custom-developed scripts by Information Technology (IT) professionals to retrieve, organize, and understand potential threat events. We propose a new visual analytics framework, called the Oak Ridge Cyber Analytics (ORCA) system, for CND data that allows an operatormore » to interact with all detection tool outputs simultaneously. Aggregated alert events are presented in multiple coordinated views with timeline, cluster, and swarm model analysis displays. These displays are complemented with both supervised and semi-supervised machine learning classifiers. The intent of the visual analytics framework is to improve CND situational awareness, to enable an analyst to quickly navigate and analyze thousands of detected events, and to combine sophisticated data analysis techniques with interactive visualization such that patterns of anomalous activities may be more easily identified and investigated.« less
A Good Supervisor--Ten Facts of Caring Supervision
ERIC Educational Resources Information Center
Määttä, Kaarina
2015-01-01
This article describes the elements of caring supervision of doctoral theses. The purpose was to describe the best practices as well as challenges of supervision especially from the supervisor's perspective. The analysis is based on the author's extensive experience as a supervisor and related data obtained for research and developmental purposes.…
McCarron, R H; Eade, J; Delmage, E
2018-04-01
WHAT IS KNOWN ON THE SUBJECT?: Regular and effective clinical supervision for mental health nurses and healthcare assistants (HCAs) is an important tool in helping to reduce stress and burnout, and in ensuring safe, effective and high-quality mental health care. Previous studies of clinical supervision within secure mental health environments have found both a low availability of clinical supervision, and a low level of staff acceptance of its value, particularly for HCAs. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: In previous studies, the understanding shown by HCAs and nurses around the benefits of clinical supervision may have been limited by the methods used. This study was specifically designed to help them best express their views. In contrast to previous studies, both nurses and HCAs showed a good understanding of the function and value of clinical supervision. Significant improvements in the experience of, and access to, clinical supervision for nurses and HCAs working in secure mental health services may be achieved by raising staff awareness, demonstrating organizational support and increasing monitoring of clinical supervision. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Organizations should consider reviewing their approach to supervision to include raising staff awareness, multidisciplinary supervision, group supervision, and recording and tracking of supervision rates. Organizations should be mindful of the need to provide effective clinical supervision to HCAs as well as nurses. Introduction Studies have found a low availability and appreciation of clinical supervision, especially for healthcare assistants (HCAs). Qualitative research is needed to further understand this. Aims Increase understanding of nurses' and HCAs' experiences of, and access to, clinical supervision. Identify nurses' and HCAs' perceptions of the value and function of clinical supervision. Assess how interventions affect staff's experiences of clinical supervision. Methods In 2013, HCAs and nurses in a secure adolescent service were surveyed about clinical supervision. Forty-nine HCAs and 20 nurses responded. In 2014, interventions to facilitate supervision were introduced. In 2016, the study was repeated. Forty HCAs and 30 nurses responded. Responses were analysed using a mixed methods approach. Results Significantly more HCAs found supervision to be a positive experience in 2016, and both nurses and HCAs reported significantly fewer challenges in accessing supervision. HCAs and nurses understood the value of clinical supervision. Discussion Significant improvements in the experience of clinical supervision were achieved following increased staff awareness, multidisciplinary and group supervision, and recording supervision rates. HCAs and nurses understood the consequences of inadequate supervision. Implications for practice Organizations could adopt the interventions to facilitate clinical supervision. Supervision should not be overlooked for HCAs. © 2017 John Wiley & Sons Ltd.
Chai, Hua; Li, Zi-Na; Meng, De-Yu; Xia, Liang-Yong; Liang, Yong
2017-10-12
Gene selection is an attractive and important task in cancer survival analysis. Most existing supervised learning methods can only use the labeled biological data, while the censored data (weakly labeled data) far more than the labeled data are ignored in model building. Trying to utilize such information in the censored data, a semi-supervised learning framework (Cox-AFT model) combined with Cox proportional hazard (Cox) and accelerated failure time (AFT) model was used in cancer research, which has better performance than the single Cox or AFT model. This method, however, is easily affected by noise. To alleviate this problem, in this paper we combine the Cox-AFT model with self-paced learning (SPL) method to more effectively employ the information in the censored data in a self-learning way. SPL is a kind of reliable and stable learning mechanism, which is recently proposed for simulating the human learning process to help the AFT model automatically identify and include samples of high confidence into training, minimizing interference from high noise. Utilizing the SPL method produces two direct advantages: (1) The utilization of censored data is further promoted; (2) the noise delivered to the model is greatly decreased. The experimental results demonstrate the effectiveness of the proposed model compared to the traditional Cox-AFT model.
Working with Conflict in Clinical Supervision: Wise Supervisors' Perspectives
ERIC Educational Resources Information Center
Nelson, Mary Lee; Barnes, Kristin L.; Evans, Amelia L.; Triggiano, Patrick J.
2008-01-01
Eight female and 4 male supervisors identified by professional peers as highly competent were interviewed about experiences of conflict in supervision and their dependable strategies for managing it. Highly competent supervisors were open to conflict and interpersonal processing, willing to acknowledge shortcomings, developmentally oriented, and…
A Feminist Multicultural Perspective on Supervision
ERIC Educational Resources Information Center
Nelson, Mary Lee; Gizara, Sharon; Hope, Anna Crombach; Phelps, Rosemary; Steward, Robbie; Weitzman, Lauren
2006-01-01
Sixteen members of the Section for the Advancement of Women conference work group identified themes and issues relevant to a feminist multicultural perspective on supervision. Issues raised included feminist silence and White privilege, the importance of self-examination, the courage to be anxious, personal commitment to uncertainty, and isolation…
Mentoring and Supervision for Teacher Development.
ERIC Educational Resources Information Center
Reiman, Alan J.; Thies-Sprinthall, Lois
The fields of instructional supervision, adult development, teacher education and mentoring, and ongoing professional development are synthesized in this text. Examples and case studies are drawn from local systems in North Carolina as well as state, national, and international public school/university consortia to identify emerging trends in…
Challenges for Better thesis supervision.
Ghadirian, Laleh; Sayarifard, Azadeh; Majdzadeh, Reza; Rajabi, Fatemeh; Yunesian, Masoud
2014-01-01
Conduction of thesis by the students is one of their major academic activities. Thesis quality and acquired experiences are highly dependent on the supervision. Our study is aimed at identifing the challenges in thesis supervision from both students and faculty members point of view. This study was conducted using individual in-depth interviews and Focus Group Discussions (FGD). The participants were 43 students and faculty members selected by purposive sampling. It was carried out in Tehran University of Medical Sciences in 2012. Data analysis was done concurrently with data gathering using content analysis method. Our data analysis resulted in 162 codes, 17 subcategories and 4 major categories, "supervisory knowledge and skills", "atmosphere", "bylaws and regulations relating to supervision" and "monitoring and evaluation". This study showed that more attention and planning in needed for modifying related rules and regulations, qualitative and quantitative improvement in mentorship training, research atmosphere improvement and effective monitoring and evaluation in supervisory area.
Challenges for Better thesis supervision
Ghadirian, Laleh; Sayarifard, Azadeh; Majdzadeh, Reza; Rajabi, Fatemeh; Yunesian, Masoud
2014-01-01
Background: Conduction of thesis by the students is one of their major academic activities. Thesis quality and acquired experiences are highly dependent on the supervision. Our study is aimed at identifing the challenges in thesis supervision from both students and faculty members point of view. Methods: This study was conducted using individual in-depth interviews and Focus Group Discussions (FGD). The participants were 43 students and faculty members selected by purposive sampling. It was carried out in Tehran University of Medical Sciences in 2012. Data analysis was done concurrently with data gathering using content analysis method. Results: Our data analysis resulted in 162 codes, 17 subcategories and 4 major categories, "supervisory knowledge and skills", "atmosphere", "bylaws and regulations relating to supervision" and "monitoring and evaluation". Conclusion: This study showed that more attention and planning in needed for modifying related rules and regulations, qualitative and quantitative improvement in mentorship training, research atmosphere improvement and effective monitoring and evaluation in supervisory area. PMID:25250273
Finn, Kathleen M; Metlay, Joshua P; Chang, Yuchiao; Nagarur, Amulya; Yang, Shaun; Landrigan, Christopher P; Iyasere, Christiana
2018-06-04
While the relationship between resident work hours and patient safety has been extensively studied, little research has evaluated the role of attending physician supervision on patient safety. To determine the effect of increased attending physician supervision on an inpatient resident general medical service on patient safety and educational outcomes. This 9-month randomized clinical trial performed on an inpatient general medical service of a large academic medical center used a crossover design. Participants were clinical teaching attending physicians and residents in an internal medicine residency program. Twenty-two faculty provided either (1) increased direct supervision in which attending physicians joined work rounds on previously admitted patients or (2) standard supervision in which attending physicians were available but did not join work rounds. Each faculty member participated in both arms in random order. The primary safety outcome was rate of medical errors. Resident education was evaluated via a time-motion study to assess resident participation on rounds and via surveys to measure resident and attending physician educational ratings. Of the 22 attending physicians, 8 (36%) were women, with 15 (68%) having more than 5 years of experience. A total of 1259 patients (5772 patient-days) were included in the analysis. The medical error rate was not significantly different between standard vs increased supervision (107.6; 95% CI, 85.8-133.7 vs 91.1; 95% CI, 76.9-104.0 per 1000 patient-days; P = .21). Time-motion analysis of 161 work rounds found no difference in mean length of time spent discussing established patients in the 2 models (202; 95% CI, 192-212 vs 202; 95% CI, 189-215 minutes; P = .99). Interns spoke less when an attending physician joined rounds (64; 95% CI, 60-68 vs 55; 95% CI, 49-60 minutes; P = .008). In surveys, interns reported feeling less efficient (41 [55%] vs 68 [73%]; P = .02) and less autonomous (53 [72%] vs 86 [91%]; P = .001) with an attending physician present and residents felt less autonomous (11 [58%] vs 30 [97%]; P < .001). Conversely, attending physicians rated the quality of care higher when they participated on work rounds (20 [100%] vs 16 [80%]; P = .04). Increased direct attending physician supervision did not significantly reduce the medical error rate. In designing morning work rounds, residency programs should reconsider their balance of patient safety, learning needs, and resident autonomy. ClinicalTrials.gov Identifier: NCT03318198.
Supervision Challenges Encountered during Kenyan University Students' Practicum Attachment
ERIC Educational Resources Information Center
Kathuri-Ogola, Lucy; VanLeeuwen, Charlene; Kabaria-Muriithi, Joan; Weeks, Lori E.; Kieru, Jane; Ndayala, Phoebe
2015-01-01
There is little published research that examines the supervision experience of field attachment supervisors in Kenya. In this study, we identify the challenges encountered by field supervisors during student field attachments with community organizations. Fifteen organizations that had hosted third year students from the Department of Community…
Authentically Engaged Learning through Live Supervision: A Phenomenological Study
ERIC Educational Resources Information Center
Moody, Steven; Kostohryz, Katie; Vereen, Linwood
2014-01-01
This phenomenological study explored the experiential learning of 5 master's-level counseling students undergoing live supervision in a group techniques course. Multiple themes were identified to provide a textural-structural description of how students authentically engaged in the learning process. Implications for counselor education and…
Supervision Training, Practices, and Interests of California Site Supervisors
ERIC Educational Resources Information Center
Uellendahl, Gail E.; Tenenbaum, Maya N.
2015-01-01
In this descriptive study, the authors surveyed 220 California school counselor site supervisors of interns about supervision training, practices, and interests. Respondents overwhelmingly (71%) felt unprepared for this role and identified the need for more formal training and support. Results indicate a crucial leadership and advocacy role for…
Using Motivational Interviewing Techniques to Address Parallel Process in Supervision
ERIC Educational Resources Information Center
Giordano, Amanda; Clarke, Philip; Borders, L. DiAnne
2013-01-01
Supervision offers a distinct opportunity to experience the interconnection of counselor-client and counselor-supervisor interactions. One product of this network of interactions is parallel process, a phenomenon by which counselors unconsciously identify with their clients and subsequently present to their supervisors in a similar fashion…
ERIC Educational Resources Information Center
Farmer, Laura Boyd; Sackett, Corrine R.; Lile, Jesse J.; Bodenhorn, Nancy; Hartig, Nadine; Graham, Jasmine; Ghoston, Michelle
2017-01-01
Using quantitative and qualitative analysis, the perceived impact of post-master's experience (PME) during counselor education and supervision (CES) doctoral study was examined across five core areas of professional identity development: counseling, supervision, teaching, research and scholarship, and leadership and advocacy. The results showed…
Hernández, Alison R; Hurtig, Anna-Karin; Dahlblom, Kjerstin; San Sebastián, Miguel
2014-03-06
Mid-level health workers (MLHWs) form the front-line of service delivery in many low- and middle-income countries. Supervision is a critical institutional intervention linking their work to the health system, and it consists of activities intended to support health workers' motivation and enable them to perform. However its impact depends not only on the frequency of these activities but also how they are carried out and received. This study aims to deepen understanding of the mechanisms through which supervision activities support the performance of auxiliary nurses, a cadre of MLHWs, in rural Guatemala. A multiple case study was conducted to examine the operation of supervision of five health posts using a realist evaluation approach. A program theory was formulated describing local understanding of how supervision activities are intended to work. Data was collected through interviews and document review to test the theory. Analysis focused on comparison of activities, outcomes, mechanisms and the influence of context across cases, leading to revision of the program theory. The supervisor's orientation was identified as the main mechanism contributing to variation observed in activities and their outcomes. Managerial control was the dominant orientation, reflecting the influence of standardized performance criteria and institutional culture. Humanized support was present in one case where the auxiliary nurse was motivated by the sense that the full scope of her work was valued. This orientation reflected the supervisor's integration of her professional identity as a nurse. The nature of the support health workers received was shaped by supervisors' orientation, and in this study, nursing principles were central to humanized support. Efforts to strengthen the support that supervision provides to MLHWs should promote professional ethos as a means of developing shared performance goals and orient supervisors to a more holistic view of the health worker and their work.
2014-01-01
Background Mid-level health workers (MLHWs) form the front-line of service delivery in many low- and middle-income countries. Supervision is a critical institutional intervention linking their work to the health system, and it consists of activities intended to support health workers’ motivation and enable them to perform. However its impact depends not only on the frequency of these activities but also how they are carried out and received. This study aims to deepen understanding of the mechanisms through which supervision activities support the performance of auxiliary nurses, a cadre of MLHWs, in rural Guatemala. Methods A multiple case study was conducted to examine the operation of supervision of five health posts using a realist evaluation approach. A program theory was formulated describing local understanding of how supervision activities are intended to work. Data was collected through interviews and document review to test the theory. Analysis focused on comparison of activities, outcomes, mechanisms and the influence of context across cases, leading to revision of the program theory. Results The supervisor’s orientation was identified as the main mechanism contributing to variation observed in activities and their outcomes. Managerial control was the dominant orientation, reflecting the influence of standardized performance criteria and institutional culture. Humanized support was present in one case where the auxiliary nurse was motivated by the sense that the full scope of her work was valued. This orientation reflected the supervisor’s integration of her professional identity as a nurse. Conclusions The nature of the support health workers received was shaped by supervisors’ orientation, and in this study, nursing principles were central to humanized support. Efforts to strengthen the support that supervision provides to MLHWs should promote professional ethos as a means of developing shared performance goals and orient supervisors to a more holistic view of the health worker and their work. PMID:24602196
Improving supervision: a team approach.
1993-01-01
This issue of "The Family Planning Manager" outlines an interactive team supervision strategy as a means of improving family planning service quality and enabling staff to perform to their maximum potential. Such an approach to supervision requires a shift from a monitoring to a facilitative role. Because supervisory visits to the field are infrequent, the regional supervisor, clinic manager, and staff should form a team to share ongoing supervisory responsibilities. The team approach removes individual blame and builds consensus. An effective team is characterized by shared leadership roles, concrete work problems, mutual accountability, an emphasis on achieving team objectives, and problem resolution within the group. The team supervision process includes the following steps: prepare a visit plan and schedule; meet with the clinic manager and staff to explain how the visit will be conducted; supervise key activity areas (clinical, management, and personnel); conduct a problem-solving team meeting; conduct a debriefing meeting with the clinic manager; and prepare a report on the visit, including recommendations and follow-up plans. In Guatemala's Family Planning Unit, teams identify problem areas on the basis of agreement that a problem exists, belief that the problem can be solved with available resources, and individual willingness to accept responsibility for the specific actions identified to correct the problem.
Raffing, Rie; Jensen, Thor Bern; Tønnesen, Hanne
2017-10-23
Quality of supervision is a major predictor for successful PhD projects. A survey showed that almost all PhD students in the Health Sciences in Denmark indicated that good supervision was important for the completion of their PhD study. Interestingly, approximately half of the students who withdrew from their program had experienced insufficient supervision. This led the Research Education Committee at the University of Copenhagen to recommend that supervisors further develop their supervision competence. The aim of this study was to explore PhD supervisors' self-reported needs and wishes regarding the content of a new program in supervision, with a special focus on the supervision of PhD students in medical fields. A semi-structured interview guide was developed, and 20 PhD supervisors from the Graduate School of Health and Medical Sciences at the Faculty of Health and Medical Sciences at the University of Copenhagen were interviewed. Empirical data were analysed using qualitative methods of analysis. Overall, the results indicated a general interest in improved competence and development of a new supervision programme. Those who were not interested argued that, due to their extensive experience with supervision, they had no need to participate in such a programme. The analysis revealed seven overall themes to be included in the course. The clinical context offers PhD supervisors additional challenges that include the following sub-themes: patient recruitment, writing the first article, agreements and scheduled appointments and two main groups of students, in addition to the main themes. The PhD supervisors reported the clear need and desire for a competence enhancement programme targeting the supervision of PhD students at the Faculty of Health and Medical Sciences. Supervision in the clinical context appeared to require additional competence. The Scientific Ethical Committee for the Capital Region of Denmark. Number: H-3-2010-101, date: 2010.09.29.
Belgiu, Mariana; Dr Guţ, Lucian
2014-10-01
Although multiresolution segmentation (MRS) is a powerful technique for dealing with very high resolution imagery, some of the image objects that it generates do not match the geometries of the target objects, which reduces the classification accuracy. MRS can, however, be guided to produce results that approach the desired object geometry using either supervised or unsupervised approaches. Although some studies have suggested that a supervised approach is preferable, there has been no comparative evaluation of these two approaches. Therefore, in this study, we have compared supervised and unsupervised approaches to MRS. One supervised and two unsupervised segmentation methods were tested on three areas using QuickBird and WorldView-2 satellite imagery. The results were assessed using both segmentation evaluation methods and an accuracy assessment of the resulting building classifications. Thus, differences in the geometries of the image objects and in the potential to achieve satisfactory thematic accuracies were evaluated. The two approaches yielded remarkably similar classification results, with overall accuracies ranging from 82% to 86%. The performance of one of the unsupervised methods was unexpectedly similar to that of the supervised method; they identified almost identical scale parameters as being optimal for segmenting buildings, resulting in very similar geometries for the resulting image objects. The second unsupervised method produced very different image objects from the supervised method, but their classification accuracies were still very similar. The latter result was unexpected because, contrary to previously published findings, it suggests a high degree of independence between the segmentation results and classification accuracy. The results of this study have two important implications. The first is that object-based image analysis can be automated without sacrificing classification accuracy, and the second is that the previously accepted idea that classification is dependent on segmentation is challenged by our unexpected results, casting doubt on the value of pursuing 'optimal segmentation'. Our results rather suggest that as long as under-segmentation remains at acceptable levels, imperfections in segmentation can be ruled out, so that a high level of classification accuracy can still be achieved.
Dexter, Franklin; Ledolter, Johannes; Hindman, Bradley J
2017-06-01
Our department monitors the quality of anesthesiologists' clinical supervision and provides each anesthesiologist with periodic feedback. We hypothesized that greater differentiation among anesthesiologists' supervision scores could be obtained by adjusting for leniency of the rating resident. From July 1, 2013 to December 31, 2015, our department has utilized the de Oliveira Filho unidimensional nine-item supervision scale to assess the quality of clinical supervision provided by faculty as rated by residents. We examined all 13,664 ratings of the 97 anesthesiologists (ratees) by the 65 residents (raters). Testing for internal consistency among answers to questions (large Cronbach's alpha > 0.90) was performed to rule out that one or two questions accounted for leniency. Mixed-effects logistic regression was used to compare ratees while controlling for rater leniency vs using Student t tests without rater leniency. The mean supervision scale score was calculated for each combination of the 65 raters and nine questions. The Cronbach's alpha was very large (0.977). The mean score was calculated for each of the 3,421 observed combinations of resident and anesthesiologist. The logits of the percentage of scores equal to the maximum value of 4.00 were normally distributed (residents, P = 0.24; anesthesiologists, P = 0.50). There were 20/97 anesthesiologists identified as significant outliers (13 with below average supervision scores and seven with better than average) using the mixed-effects logistic regression with rater leniency entered as a fixed effect but not by Student's t test. In contrast, there were three of 97 anesthesiologists identified as outliers (all three above average) using Student's t tests but not by logistic regression with leniency. The 20 vs 3 was significant (P < 0.001). Use of logistic regression with leniency results in greater detection of anesthesiologists with significantly better (or worse) clinical supervision scores than use of Student's t tests (i.e., without adjustment for rater leniency).
Laribi, Ouahiba; Malig, Brian; Sutherland-Ashley, Katherine; Broadwin, Rachel; Wieland, Walker; Salocks, Charles
2017-01-01
The California Medical Supervision program is designed to protect workers who regularly mix, load, or apply the highly toxic Category I and II organophosphates and carbamates from overexposure by monitoring cholinesterase (ChE) inhibition in plasma and red blood cells. Since January 2011, testing laboratories are required to report test results electronically to the California Department of Pesticide Regulation who shares it with the Office of Environmental Health Hazard Assessment for evaluation. The purpose of this study is to assess the utility of this reporting in evaluating the effectiveness of the Program for illness surveillance and prevention. From 2011 to 2013, we received more than 90 000 test results. Despite data gaps and data quality issues, we were able to perform spatial and temporal analyses and developed a screening tool to identify individuals potentially at risk of overexposure. The data analysis provided some evidence that the Program is effective in protecting agricultural workers handling the most toxic ChE-inhibiting pesticides even though it also identified some areas of potential concerns with individuals that appeared lacking corrective actions in the workplace in response to excessive ChE depressions and parts of the state with disproportionately at-risk individuals. However, changes to the electronic reporting are needed to more accurately identify tests related to the Program and therefore improve the utility of the data received. Moreover, data analysis also revealed that electronic reporting has its limitation in evaluating the Program.
Jayamanne, Shaluka F.; Jayasinghe, Chamilka Y.
2017-01-01
Background Acute poisoning in children is a major preventable cause of morbidity and mortality in both developed and developing countries. However, there is a wide variation in patterns of poisoning and related risk factors across different geographic regions globally. This hospital based case-control study identifies the risk factors of acute unintentional poisoning among children aged 1−5 years of the rural community in a developing Asian country. Methods This hospital based case-control study included 600 children. Each group comprised three hundred children and all children were recruited at Anuradhapura Teaching Hospital, Sri Lanka, over two years (from February 2012 to January 2014). The two groups were compared to identify the effect of 23 proposed risk factors for unintentional poisoning using multivariate analysis in a binary logistic regression model. Results Multivariate analysis identified eight risk factors which were significantly associated with unintentional poisoning. The strongest risk factors were inadequate supervision (95% CI: 15.4–52.6), employed mother (95% CI: 2.9–17.5), parental concern of lack of family support (95% CI: 3.65–83.3), and unsafe storage of household poisons (95% CI: 1.5–4.9). Conclusions Since inadequate supervision, unsafe storage, and unsafe environment are the strongest risk factors for childhood unintentional poisoning, the effect of community education to enhance vigilance, safe storage, and assurance of safe environment should be evaluated. PMID:28932247
Examining clinical supervision as a mechanism for changes in practice: a research protocol.
Dilworth, Sophie; Higgins, Isabel; Parker, Vicki; Kelly, Brian; Turner, Jane
2014-02-01
This paper describes the research protocol for a study exploring if and how clinical supervision facilitates change in practice relating to psychosocial aspects of care for Health Professionals, who have been trained to deliver a psychosocial intervention to adults with cancer. There is a recognized need to implement care that is in line with clinical practice guidelines for the psychosocial care of adults with cancer. Clinical supervision is recommended as a means to support Health Professionals in providing the recommended psychosocial care. A qualitative design embedded within an experimental, stepped wedge randomized control trial. The study will use discourse analysis to analyse audio-recorded data collected in clinical supervision sessions that are being delivered as one element of a large randomized control trial. The sessions will be attended primarily by nurses, but including physiotherapists, radiation therapists, occupational therapists. The Health Professionals are participants in a randomized control trial designed to reduce anxiety and depression of distressed adults with cancer. The sessions will be facilitated by psychiatrists experienced in psycho-oncology and the provision of clinical supervision. The proposed research is designed specifically to facilitate exploration of the mechanisms by which clinical supervision enables Health Professionals to deliver a brief, tailored psychosocial intervention in the context of their everyday practice. This is the first study to use discourse analysis embedded within an experimental randomized control trial to explore the mechanisms of change generated within clinical supervision by analysing the discourse within the clinical supervision sessions. © 2013 John Wiley & Sons Ltd.
The loss of midwifery supervision: to mourn or rejoice?
Lewis, Paul; Freemantle, Danielle; Ireland, Jilly
2015-03-01
The decision of the NMC to end statutory supervision of midwives comes as no surprise. It had been anticipated since the publication of the Parliamentary and Health Service Ombudsman's (PHSO) report in 2013 (PHSO 2013). This found that midwifery supervision and regulatory arrangements had failed to identify poor midwifery practice at Morecambe Bay NHS Foundation Trust. It concluded that midwifery supervision and regulation should be separated; and that the NMC should be in direct control of regulatory activity. A King's Fund report commissioned by the NMC reached similar conclusions and the dye was cast. The process in many respects has been disappointing but inevitable. This article maps the key events, examines concerns in respect of the process, and asks: what now for midwifery supervision? Our survival as a distinct profession may now rest not with the NMC but in recommendations of the Law Commission's report on the regulation of healthcare professionals in the UK.
An analysis of the delivery of anaesthetic training sessions in the United Kingdom.
Green, A; Tatham, K C; Yentis, S M; Wilson, J; Cox, M
2017-11-01
We analysed data from the electronic rota system CLWRota, covering 2,689,962 anaesthetic sessions between 01/01/2014 and 31/12/2015, in 91 UK Trusts, in order to investigate trainees' supervision. There were 8209 trainee attachments analysed, during which 618,695 sessions were undertaken by trainees. The number of supervised sessions per week that trainees worked varied considerably (median (IQR [range]) 2.6 (1.6-3.6 [0-10]) for all grades combined), with senior trainees more likely than junior trainees to be supervised for fewer than the three sessions per week mandated by the Royal College of Anaesthetists. The number of supervised sessions was unrelated to Trusts' size, suggesting that trainees in smaller hospitals receive the same level of supervision as in larger teaching hospitals. Analysis of a dataset of this size should be a good reflection of the delivery of anaesthesia training in the UK. © 2017 The Association of Anaesthetists of Great Britain and Ireland.
Parental supervision and alcohol use in adolescence: developmentally specific interactions.
Clark, Duncan B; Kirisci, Levent; Mezzich, Ada; Chung, Tammy
2008-08-01
While parental supervision has been demonstrated to predict adolescent alcohol involvement, there has been little focus on the influence of adolescent characteristics, such as personality and alcohol use, on the effectiveness of parental supervisory practices. This study examined the interaction of parental supervision and adolescent alcohol use from late childhood through middle adolescence. Families were recruited through fathers with substance use disorders or fathers representing reference groups identified as having a biological child age 10 to 12 years. These children (N = 773) were assessed and follow-up visits conducted in early adolescence (ages 12-14) and middle adolescence (age 16). Parental supervision and alcohol use were determined at each visit. In the context of demographic variables and childhood psychological dysregulation, the statistical model examined global and developmental stage-specific relationships between supervision and alcohol use. Consistent with interactional hypotheses, childhood psychological dysregulation and early adolescent alcohol use predicted less effective parental supervision. While the study design limited the extent to which predictive associations could be interpreted as indicating causal relationships, adolescents with psychological dysregulation and higher levels of alcohol use may resist parental supervision. The challenges to parents presented by difficult adolescents need to be taken into consideration in developing preventive and treatment interventions.
Buus, Niels; Delgado, Cynthia; Traynor, Michael; Gonge, Henrik
2018-04-01
This present study is a report of an interview study exploring personal views on participating in group clinical supervision among mental health nursing staff members who do not participate in supervision. There is a paucity of empirical research on resistance to supervision, which has traditionally been theorized as a supervisee's maladaptive coping with anxiety in the supervision process. The aim of the present study was to examine resistance to group clinical supervision by interviewing nurses who did not participate in supervision. In 2015, we conducted semistructured interviews with 24 Danish mental health nursing staff members who had been observed not to participate in supervision in two periods of 3 months. Interviews were audio-recorded and subjected to discourse analysis. We constructed two discursive positions taken by the informants: (i) 'forced non-participation', where an informant was in favour of supervision, but presented practical reasons for not participating; and (ii) 'deliberate rejection', where an informant intentionally chose to not to participate in supervision. Furthermore, we described two typical themes drawn upon by informants in their positioning: 'difficulties related to participating in supervision' and 'limited need for and benefits from supervision'. The findings indicated that group clinical supervision extended a space for group discussion that generated or accentuated anxiety because of already-existing conflicts and a fundamental lack of trust between group members. Many informants perceived group clinical supervision as an unacceptable intrusion, which could indicate a need for developing more acceptable types of post-registration clinical education and reflective practice for this group. © 2017 Australian College of Mental Health Nurses Inc.
A Break-Even Analysis of Optimum Faculty Assignment for Ambulatory Primary Care Training.
ERIC Educational Resources Information Center
Xakellis, George C.; And Others
1996-01-01
A computer simulation was developed to estimate the number of medical residents one or two faculty teachers could supervise in a university-based primary medical care teaching clinic. With no non-teaching tasks, it was shown that two teachers could supervise 11 residents, while one teacher was able to supervise only three residents under similar…
Electronic Monitoring of Sex Offenders: Identifying Unanticipated Consequences and Implications
ERIC Educational Resources Information Center
Demichele, Matthew; Payne, Brian K.; Button, Deeanna M.
2008-01-01
In recent years, increased legislative attention has been given to strategies to supervise sex offenders in the community. Among other policies, several states have passed laws calling for the use of electronic monitoring technologies to supervise sex offenders in the community. When initially developed, this community-based sanction was designed…
Student-Teachers' Supervision as a Professional Development Activity: Building Work-Related Skills
ERIC Educational Resources Information Center
Minott, Mark A.; Willett, Ionie Liburd
2011-01-01
The purpose of this research was to identify and outline the work-related skills that cooperating teachers in the Cayman Islands and Saint Kitts-Nevis developed or reinforced as they supervised student-teachers. A qualitative case-study methodology was used. The findings indicate that cooperating teachers developed and reinforced essential…
Determinants of Effective and Ineffective Supervision in Schools: Teachers Perspectives
ERIC Educational Resources Information Center
Oghuvbu, Enamiroro Patrick
2007-01-01
This study identified determinants of effective and ineffective supervision in schools. A forty-two items questionnaire was administered on 1150 teachers used in this study. Two research questions were raised and answered using percentages. Two null hypotheses were formulated and tested using spearman rho and z-test statistics at 0.05 level of…
Supervision Provided to Indigenous Australian Doctoral Students: A Black and White Issue
ERIC Educational Resources Information Center
Trudgett, Michelle
2014-01-01
The number of Indigenous Australians completing doctoral qualifications is disparately below their non-Indigenous contemporaries. Whilst there has been a steady increase in Indigenous completions in recent years, significant work remains to redress the imbalance. Supervision has been identified as a primary influencer of the likely success of…
Children with chronic disease and extracurricular activities: training needs
Desserprix, Agnès; Marchand, Claire; Crozet, Cyril
2016-10-19
Background: ln the current context of increasing numbers of children living with a chronic disease and increasing numbers of people supervising extracurricular activities, difficulties appear to persist despite the Personalised Core Project (PCP). This study explores the accessibility and usefulness of the information provided by the Personalised Care Project and the value of complementary support. Methods: Based on the key messages identified by experts in the four most common chronic diseases, a questionnaire was deve/oped and sent to people supervising extracurricular activities in three districts of the Saône-et-Loire department. Descriptive statistical analysis was performed. Results: 55 people participated in the study. 30 (54.5%) had already supervised children with a chronic disease, 21 (70%) of them had been able to read the PCP and 17 (57%) had participated in an information meeting. 23 out of 28 (82%) considered thot the information contained in the PCP was helpful and 21 (81%) expressed their needs for further information. 98% of respondents thought thot additional support would be useful. Their main needs corresponded to 3 main self-core ski/Js: to recognize, analyse and measure; to deal with and decide; to resolve prevention problems. Conclusion: This study confirms the value of the PCP, but also the Jack of preparation of people supervising extracurricu/ar activ ities. lt highlights the need for training to allow these people to ensure the safety of chi /dren living with chronic diseases.
Doctoral Supervision in a Cross-Cultural Context: Issues Affecting Supervisors and Candidates
ERIC Educational Resources Information Center
Winchester-Seeto, Theresa; Homewood, Judi; Thogersen, Jane; Jacenyik-Trawoger, Christa; Manathunga, Catherine; Reid, Anna; Holbrook, Allyson
2014-01-01
This article presents an analysis of rich data, gathered from interviews with 46 candidates and 38 supervisors from three Australian universities, about experiences of doctoral supervision in cross-cultural situations. Our analysis shows that many of the issues reported by international candidates are the same as those encountered by domestic…
A Discourse Analysis of School Counseling Supervisory E-Mail
ERIC Educational Resources Information Center
Luke, Melissa; Gordon, Cynthia
2011-01-01
This article is a discourse analysis of weekly computer-mediated communications between 8 school counseling interns and their e-mail supervisor over a 16-week semester. Course-required e-mail supervision was provided as an adjunct to traditional face-to-face individual and group supervision. School counselor supervisees and supervisor enacted 3…
Supervised classification of continental shelf sediment off western Donegal, Ireland
NASA Astrophysics Data System (ADS)
Monteys, X.; Craven, K.; McCarron, S. G.
2017-12-01
Managing human impacts on marine ecosystems requires natural regions to be identified and mapped over a range of hierarchically nested scales. In recent years (2000-present) the Irish National Seabed Survey (INSS) and Integrated Mapping for the Sustainable Development of Ireland's Marine Resources programme (INFOMAR) (Geological Survey Ireland and Marine Institute collaborations) has provided unprecedented quantities of high quality data on Ireland's offshore territories. The increasing availability of large, detailed digital representations of these environments requires the application of objective and quantitative analyses. This study presents results of a new approach for sea floor sediment mapping based on an integrated analysis of INFOMAR multibeam bathymetric data (including the derivatives of slope and relative position), backscatter data (including derivatives of angular response analysis) and sediment groundtruthing over the continental shelf, west of Donegal. It applies a Geographic-Object-Based Image Analysis software package to provide a supervised classification of the surface sediment. This approach can provide a statistically robust, high resolution classification of the seafloor. Initial results display a differentiation of sediment classes and a reduction in artefacts from previously applied methodologies. These results indicate a methodology that could be used during physical habitat mapping and classification of marine environments.
Baldwin, DeWitt C; Daugherty, Steven R; Ryan, Patrick M; Yaghmour, Nicholas A; Philibert, Ingrid
2018-04-01
Medical errors and patient safety are major concerns for the medical and medical education communities. Improving clinical supervision for residents is important in avoiding errors, yet little is known about how residents perceive the adequacy of their supervision and how this relates to medical errors and other education outcomes, such as learning and satisfaction. We analyzed data from a 2009 survey of residents in 4 large specialties regarding the adequacy and quality of supervision they receive as well as associations with self-reported data on medical errors and residents' perceptions of their learning environment. Residents' reports of working without adequate supervision were lower than data from a 1999 survey for all 4 specialties, and residents were least likely to rate "lack of supervision" as a problem. While few residents reported that they received inadequate supervision, problems with supervision were negatively correlated with sufficient time for clinical activities, overall ratings of the residency experience, and attending physicians as a source of learning. Problems with supervision were positively correlated with resident reports that they had made a significant medical error, had been belittled or humiliated, or had observed others falsifying medical records. Although working without supervision was not a pervasive problem in 2009, when it happened, it appeared to have negative consequences. The association between inadequate supervision and medical errors is of particular concern.
Evaluation of professional supervision in Aotearoa/New Zealand: An interprofessional study.
Davys, Allyson Mary; O'Connell, Michael; May, Janet; Burns, Beverley
2017-06-01
The evaluation of professional supervision has been a focus for discussion in the supervision literature over past decades. A review of the literature in this area, however, suggests that evaluation has been differently defined, variously addressed, and a range of outcomes reported. The present study reports the findings of the first stage of a three-stage study of evaluation in professional supervision in Aotearoa/New Zealand. Experienced practitioners from the four professions of counselling, mental health nursing, psychology, and social work were interviewed to explore how evaluation in professional supervision is understood and actioned in practice. Twenty four semistructured interviews were conducted with supervisees, supervisors, and managers from each of the identified professions. The findings from these interviews indicate that a majority of participants applied some form of evaluation to their supervision arrangement. These evaluations, however, did not reflect an overarching organizational or professional culture of formal evaluation, but rather, an individualized ad-hoc process initiated by one or both of the participants (supervisor and supervisee). These evaluations focussed predominantly on the process, rather than the outcomes, of supervision. While many respondents expressed interest in a formal process for evaluating supervision, a number of concerns were also raised. These concerns included a lack of evaluation skills and resource, the potential for formal evaluation to have a negative impact on the supervision relationship, the importance of maintaining the boundaries of confidentiality, and a wariness regarding the possible use of any information gathered. © 2016 Australian College of Mental Health Nurses Inc.
Van Laere, Steven J; Ueno, Naoto T; Finetti, Pascal; Vermeulen, Peter; Lucci, Anthony; Robertson, Fredika M; Marsan, Melike; Iwamoto, Takayuki; Krishnamurthy, Savitri; Masuda, Hiroko; van Dam, Peter; Woodward, Wendy A; Viens, Patrice; Cristofanilli, Massimo; Birnbaum, Daniel; Dirix, Luc; Reuben, James M; Bertucci, François
2013-09-01
Inflammatory breast cancer (IBC) is a poorly characterized form of breast cancer. So far, the results of expression profiling in IBC are inconclusive due to various reasons including limited sample size. Here, we present the integration of three Affymetrix expression datasets collected through the World IBC Consortium allowing us to interrogate the molecular profile of IBC using the largest series of IBC samples ever reported. Affymetrix profiles (HGU133-series) from 137 patients with IBC and 252 patients with non-IBC (nIBC) were analyzed using unsupervised and supervised techniques. Samples were classified according to the molecular subtypes using the PAM50-algorithm. Regression models were used to delineate IBC-specific and molecular subtype-independent changes in gene expression, pathway, and transcription factor activation. Four robust IBC-sample clusters were identified, associated with the different molecular subtypes (P<0.001), all of which were identified in IBC with a similar prevalence as in nIBC, except for the luminal A subtype (19% vs. 42%; P<0.001) and the HER2-enriched subtype (22% vs. 9%; P<0.001). Supervised analysis identified and validated an IBC-specific, molecular subtype-independent 79-gene signature, which held independent prognostic value in a series of 871 nIBCs. Functional analysis revealed attenuated TGF-β signaling in IBC. We show that IBC is transcriptionally heterogeneous and that all molecular subtypes described in nIBC are detectable in IBC, albeit with a different frequency. The molecular profile of IBC, bearing molecular traits of aggressive breast tumor biology, shows attenuation of TGF-β signaling, potentially explaining the metastatic potential of IBC tumor cells in an unexpected manner. ©2013 AACR.
Itani, Kamal M F; DePalma, Ralph G; Schifftner, Tracy; Sanders, Karen M; Chang, Barbara K; Henderson, William G; Khuri, Shukri F
2005-11-01
There has been concern that a reduced level of surgical resident supervision in the operating room (OR) is correlated with worse patient outcomes. Until September 2004, Veterans' Affairs (VA) hospitals entered in the surgical record level 3 supervision on every surgical case when the attending physician was available but not physically present in the OR or the OR suite. In this study, we assessed the impact of level 3 on risk-adjusted morbidity and mortality in the VA system. Surgical cases entered into the National Surgical Quality Improvement Program database between 1998 and 2004, from 99 VA teaching facilities, were included in a logistic regression analysis for each year. Level 3 versus all other levels of supervision were forced into the model, and patient characteristics then were selected stepwise to arrive at a final model. Confidence limits for the odds ratios were calculated by profile likelihood. A total of 610,660 cases were available for analysis. Thirty-day mortality and morbidity rates were reported in 14,441 (2.36%) and 63,079 (10.33%) cases, respectively. Level 3 supervision decreased from 8.72% in 1998 to 2.69% in 2004. In the logistic regression analysis, the odds ratios for mortality for level 3 ranged from .72 to 1.03. Only in the year 2000 were the odds ratio for mortality statistically significant at the .05 level (odds ratio, .72; 95% confidence interval, .594-.858). For morbidity, the odds ratios for level 3 supervision ranged from .66 to 1.01, and all odds ratios except for the year 2004 were statistically significant. Between 1998 and 2004, the level of resident supervision in the OR did not affect clinical outcomes adversely for surgical patients in the VA teaching hospitals.
Design of agricultural product quality safety retrospective supervision system of Jiangsu province
NASA Astrophysics Data System (ADS)
Wang, Kun
2017-08-01
In store and supermarkets to consumers can trace back agricultural products through the electronic province card to query their origin, planting, processing, packaging, testing and other important information and found that the problems. Quality and safety issues can identify the responsibility of the problem. This paper designs a retroactive supervision system for the quality and safety of agricultural products in Jiangsu Province. Based on the analysis of agricultural production and business process, the goal of Jiangsu agricultural product quality safety traceability system construction is established, and the specific functional requirements and non-functioning requirements of the retroactive system are analyzed, and the target is specified for the specific construction of the retroactive system. The design of the quality and safety traceability system in Jiangsu province contains the design of the overall design, the trace code design and the system function module.
Kinase Identification with Supervised Laplacian Regularized Least Squares
Zhang, He; Wang, Minghui
2015-01-01
Phosphorylation is catalyzed by protein kinases and is irreplaceable in regulating biological processes. Identification of phosphorylation sites with their corresponding kinases contributes to the understanding of molecular mechanisms. Mass spectrometry analysis of phosphor-proteomes generates a large number of phosphorylated sites. However, experimental methods are costly and time-consuming, and most phosphorylation sites determined by experimental methods lack kinase information. Therefore, computational methods are urgently needed to address the kinase identification problem. To this end, we propose a new kernel-based machine learning method called Supervised Laplacian Regularized Least Squares (SLapRLS), which adopts a new method to construct kernels based on the similarity matrix and minimizes both structure risk and overall inconsistency between labels and similarities. The results predicted using both Phospho.ELM and an additional independent test dataset indicate that SLapRLS can more effectively identify kinases compared to other existing algorithms. PMID:26448296
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
Yazdavar, Amir Hossein; Al-Olimat, Hussein S.; Ebrahimi, Monireh; Bajaj, Goonmeet; Banerjee, Tanvi; Thirunarayan, Krishnaprasad; Pathak, Jyotishman; Sheth, Amit
2017-01-01
With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitter. Unlike traditional observational cohort studies conducted through questionnaires and self-reported surveys, we explore the reliable detection of clinical depression from tweets obtained unobtrusively. Based on the analysis of tweets crawled from users with self-reported depressive symptoms in their Twitter profiles, we demonstrate the potential for detecting clinical depression symptoms which emulate the PHQ-9 questionnaire clinicians use today. Our study uses a semi-supervised statistical model to evaluate how the duration of these symptoms and their expression on Twitter (in terms of word usage patterns and topical preferences) align with the medical findings reported via the PHQ-9. Our proactive and automatic screening tool is able to identify clinical depressive symptoms with an accuracy of 68% and precision of 72%. PMID:29707701
Kinase Identification with Supervised Laplacian Regularized Least Squares.
Li, Ao; Xu, Xiaoyi; Zhang, He; Wang, Minghui
2015-01-01
Phosphorylation is catalyzed by protein kinases and is irreplaceable in regulating biological processes. Identification of phosphorylation sites with their corresponding kinases contributes to the understanding of molecular mechanisms. Mass spectrometry analysis of phosphor-proteomes generates a large number of phosphorylated sites. However, experimental methods are costly and time-consuming, and most phosphorylation sites determined by experimental methods lack kinase information. Therefore, computational methods are urgently needed to address the kinase identification problem. To this end, we propose a new kernel-based machine learning method called Supervised Laplacian Regularized Least Squares (SLapRLS), which adopts a new method to construct kernels based on the similarity matrix and minimizes both structure risk and overall inconsistency between labels and similarities. The results predicted using both Phospho.ELM and an additional independent test dataset indicate that SLapRLS can more effectively identify kinases compared to other existing algorithms.
ERIC Educational Resources Information Center
Kahn, Sarah Zeta
2013-01-01
The purpose of this study was to increase the current understanding of what occurs within a narrative supervision process and to explore how this approach to supervision can contribute to the development of educational practices that promote social justice efforts in the field of marriage and family therapy. In particular, this study sought to…
Application of semi-supervised deep learning to lung sound analysis.
Chamberlain, Daniel; Kodgule, Rahul; Ganelin, Daniela; Miglani, Vivek; Fletcher, Richard Ribon
2016-08-01
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound. Larger research studies have also been impeded by the challenge of labeling large volumes of data, which is extremely labor-intensive. In this paper, we present the development of a semi-supervised deep learning algorithm for automatically classify lung sounds from a relatively large number of patients (N=284). Focusing on the two most common lung sounds, wheeze and crackle, we present results from 11,627 sound files recorded from 11 different auscultation locations on these 284 patients with pulmonary disease. 890 of these sound files were labeled to evaluate the model, which is significantly larger than previously published studies. Data was collected with a custom mobile phone application and a low-cost (US$30) electronic stethoscope. On this data set, our algorithm achieves ROC curves with AUCs of 0.86 for wheeze and 0.74 for crackle. Most importantly, this study demonstrates how semi-supervised deep learning can be used with larger data sets without requiring extensive labeling of data.
Li, Yuhui; Wang, Zhen; Yang, Liu-Qin; Liu, Songbo
2016-04-01
This study examines the underlying mechanism of the crossover process in work teams. Drawing on conservation of resources theory, we hypothesize that a leader's psychological distress positively influences subordinates' psychological distress through abusive supervision. We further hypothesize that team performance attenuates the association between a leader's psychological distress and abusive supervision. In addition, we expect that psychological capital attenuates the positive relationship between abusive supervision and subordinates' psychological distress. Participants were drawn from 86 business teams, and multisource data were collected. The hypotheses were tested with multilevel analysis. Results supported the crossover of psychological distress from leader to subordinates, and abusive supervision serves as a mediating mechanism. The positive relationship between a leader's distress and abusive supervision is stronger when team performance is lower. In addition, the positive relationship between abusive supervision and subordinates' psychological distress is stronger when subordinates' psychological capital is lower. (c) 2016 APA, all rights reserved).
Zhi, Shuai; Li, Qiaozhi; Yasui, Yutaka; Edge, Thomas; Topp, Edward; Neumann, Norman F
2015-11-01
Host specificity in E. coli is widely debated. Herein, we used supervised learning logic-regression-based analysis of intergenic DNA sequence variability in E. coli in an attempt to identify single nucleotide polymorphism (SNP) biomarkers of E. coli that are associated with natural selection and evolution toward host specificity. Seven-hundred and eighty strains of E. coli were isolated from 15 different animal hosts. We utilized logic regression for analyzing DNA sequence data of three intergenic regions (flanked by the genes uspC-flhDC, csgBAC-csgDEFG, and asnS-ompF) to identify genetic biomarkers that could potentially discriminate E. coli based on host sources. Across 15 different animal hosts, logic regression successfully discriminated E. coli based on animal host source with relatively high specificity (i.e., among the samples of the non-target animal host, the proportion that correctly did not have the host-specific marker pattern) and sensitivity (i.e., among the samples from a given animal host, the proportion that correctly had the host-specific marker pattern), even after fivefold cross validation. Permutation tests confirmed that for most animals, host specific intergenic biomarkers identified by logic regression in E. coli were significantly associated with animal host source. The highest level of biomarker sensitivity was observed in deer isolates, with 82% of all deer E. coli isolates displaying a unique SNP pattern that was 98% specific to deer. Fifty-three percent of human isolates displayed a unique biomarker pattern that was 98% specific to humans. Twenty-nine percent of cattle isolates displayed a unique biomarker that was 97% specific to cattle. Interestingly, even within a related host group (i.e., Family: Canidae [domestic dogs and coyotes]), highly specific SNP biomarkers (98% and 99% specificity for dog and coyotes, respectively) were observed, with 21% of dog E. coli isolates displaying a unique dog biomarker and 61% of coyote isolates displaying a unique coyote biomarker. Application of a supervised learning method, such as logic regression, to DNA sequence analysis at certain intergenic regions demonstrates that some E. coli strains may evolve to become host-specific. Copyright © 2015 Elsevier Inc. All rights reserved.
Bogner, Viktoria; Baker, Henry V.; Kanz, Karl-Georg; Moldawer, L. L.; Mutschler, Wolf; Biberthaler, Peter
2014-01-01
Introduction As outcome to severe trauma is frequently affected by massive blood loss and consecutive hemorrhagic shock, replacement of red blood cell (RBC) units remains indispensable. Administration of RBC units is an independent risk factor for adverse outcome in patients with trauma. The impact of massive blood transfusion or uncrossmatched blood transfusion on the patients’ immune response in the early posttraumatic period remains unclear. Material Thirteen patients presenting with blunt multiple injuries (Injury Severity Score >16) were studied. Monocytes were obtained on admission and at 6, 12, 24, 48, and 72 hours after trauma. Biotinylated complementary RNA targets were hybridized to Affymetrix HG U 133A microarrays. The data were analyzed by a supervised analysis based on whether the patients received massive blood transfusions, and then subsequently, by hierarchical clustering, and by Ingenuity pathway analysis. Results Supervised analysis identified 224 probe sets to be differentially expressed (p < 0.001) in patients who received massive blood transfusion, when compared with those who did not. In addition, 331 probe sets were found differentially expressed (p < 0.001) in patients who received uncrossmatched RBC units in comparison with those who exclusively gained crossmatched ones. Functional pathway analysis of the respectively identified gene expression profiles suggests a contributory role by the AKT/PI3Kinase pathway, the mitogen-activated protein-kinase pathway, the Ubiquitin pathway, and the diverse inflammatory networks. Conclusion We exhibited for the first time a serial, sequential screening analysis of monocyte messenger RNA expression patterns in patients with multiple trauma indicating a strongly significant association between the patients’ genomic response in blood monocytes and massive or uncross-matched RBC substitution. PMID:19820587
ERIC Educational Resources Information Center
McAdams, Charles R.; Wyatt, Kristi Lee
2010-01-01
Counseling licensure boards report emerging needs to regulate technology-assisted distance counseling and supervision. An analysis of published regulations and telephone interviews with board administrators nationwide suggests that boards agree generally on 7 aspects of technology-assisted distance practice that need to be regulated. Nevertheless,…
The clinical learning environment and supervision by staff nurses: developing the instrument.
Saarikoski, Mikko; Leino-Kilpi, Helena
2002-03-01
The aims of this study were (1) to describe students' perceptions of the clinical learning environment and clinical supervision and (2) to develop an evaluation scale by using the empirical results of this study. The data were collected using the Clinical Learning Environment and Supervision instrument (CLES). The instrument was based on the literature review of earlier studies. The derived instrument was tested empirically in a study involving nurse students (N=416) from four nursing colleges in Finland. The results demonstrated that the method of supervision, the number of separate supervision sessions and the psychological content of supervisory contact within a positive ward atmosphere are the most important variables in the students' clinical learning. The results also suggest that ward managers can create the conditions of a positive ward culture and a positive attitude towards students and their learning needs. The construct validity of the instrument was analysed by using exploratory factor analysis. The analysis indicated that the most important factor in the students' clinical learning is the supervisory relationship. The two most important factors constituting a 'good' clinical learning environment are the management style of the ward manager and the premises of nursing on the ward. The results of the factor analysis support the theoretical construction of the clinical learning environment modelled by earlier empirical studies.
Analysing the role of the PICU nurse to guide education of new graduate nurses.
Long, Debbie A; Young, Jeanine; Rickard, Claire M; Mitchell, Marion L
2013-04-01
One strategy to address the current nursing shortage in specialty areas has been to introduce graduate nurse programs. However introducing novice nurses to specialty areas raises concerns around education and competency which, in turn, highlights the need to identify and prioritise the elements of competent paediatric intensive care unit (PICU) nursing care considered essential to safe practice. To determine the key knowledge, skills and attributes of competent level PICU nurses. A practice analysis survey of 15 nurse educators was conducted in all eight Australian and New Zealand PICUs during 2008. Three areas of practice essential to PICU nursing competence were explored: patients most commonly cared for; frequency and criticality of activities performed; and level of independence against critical care nursing competency standards. Data were analysed using descriptive statistics. Cardiac and respiratory problems accounted for over 50% of patients cared for by competent level nurses. Cardiac and respiratory activities were therefore also ranked as the most important activities. Respondents identified that competency domains of teamwork and professional practice are performed with minimal supervision, whereas clinical problem solving requires supervision and assistance. PICU nurses are performing activities and caring for a breadth of complex patients within a year of entering the workforce. Using a practice analysis to define actual practice and expectations can assist in the identification and prioritisation of content for graduate and other educational programs. Copyright © 2013 Elsevier Ltd. All rights reserved.
Gilbert, Louisa; Shaw, Stacey A; Goddard-Eckrich, Dawn; Chang, Mingway; Rowe, Jessica; McCrimmon, Tara; Almonte, Maria; Goodwin, Sharun; Epperson, Matthew
2015-12-10
The high rate of intimate partner violence (IPV) victimisation found among substance-using women receiving community supervision underscores the need for effective IPV victimisation screening, brief intervention and referral to treatment services (SBIRT) for this population. This randomised controlled trial (RCT) aims to assess the feasibility, safety and efficacy of a single-session computerised self-paced IPV SBIRT (Computerised WINGS) in identifying IPV victimisation among women under community supervision and increasing access to IPV services, compared to the same IPV SBIRT service delivered by a case manager (Case Manager WINGS). This RCT was conducted with 191 substance-using women in probation and community court sites in New York City. No significant differences were found between Computerised and Case Manager WINGS arms on any outcomes. Both arms reported identical high rates of any physical, sexual or psychological IPV victimisation in the past year (77% for both arms) during the intervention. Both arms experienced significant increases from baseline to the 3-month follow-up in receipt of IPV services, social support, IPV self-efficacy and abstinence from drug use. Findings suggest that both modalities of WINGS show promise in identifying and addressing IPV victimisation among substance-using women receiving community supervision. Copyright © 2015 John Wiley & Sons, Ltd.
2008-07-17
without excessive procrastination ; to work independently and accomplish tasks without constant supervision; to take personal responsibility for completing...difficult tasks without excessive procrastination ; to work independently and accomplish tasks without constant supervision; to take personal...tasks without excessive procrastination ; to work independently and accomplish tasks without constant supervision; to take personal responsibility for
Peer-Assisted Analysis of Resident Feedback Improves Clinical Teaching: A Case Report.
Mai, Christine L; Baker, Keith
2017-07-01
Anesthesiologists play an important role in educating future clinicians. Yet few residency programs incorporate teaching skills into faculty development. Consequently, many anesthesiologists have limited training to supervise and educate residents. In turn, these attendings may receive negative feedback and poor evaluations from residents without a means to effectively improve. Peer-assisted teaching between faculty members may serve as a strategy to improve teaching skills. We report a case of peer-assisted analysis of resident feedback to identify specific areas of concern that were targeted for improvement. This approach resulted in improved teaching scores and feedback for the faculty member.
A risk analysis approach applied to field surveillance in utility meters in legal metrology
NASA Astrophysics Data System (ADS)
Rodrigues Filho, B. A.; Nonato, N. S.; Carvalho, A. D.
2018-03-01
Field surveillance represents the level of control in metrological supervision responsible for checking the conformity of measuring instruments in-service. Utility meters represent the majority of measuring instruments produced by notified bodies due to self-verification in Brazil. They play a major role in the economy once electricity, gas and water are the main inputs to industries in their production processes. Then, to optimize the resources allocated to control these devices, the present study applied a risk analysis in order to identify among the 11 manufacturers notified to self-verification, the instruments that demand field surveillance.
Trede, Franziska; McEwen, Celina; Kenny, Amanda; O'Meara, Peter
2014-05-01
We present our findings from a scoping review that sought to identify what is known about nursing and paramedic clinical supervisors' experiences of their supervision practices in rural settings. Our interest in these two groups is based on the central role that nurses and paramedics play in rural health care. Scoping reviews support identification of a broad range of literature, including all types of study designs. We adopted Arksey and O'Malley's five-stage approach: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarising and reporting results. Databases searched included Academic Search Complete, Springer, Factiva, ProQuest, Ebsco, Informit, VOCEDplus and Scopus. Based on our research question and inclusion and exclusion criteria we selected relevant literature and summarised and reported it using Arksey and O'Malley's framework. The review yielded five articles from four countries: Sweden, Belgium, Malaysia and Australia. From this scoping review, we identified key themes related to supervisors' experiences, including clarification of expectations, support from managers and colleagues, the need for shared understanding between university, students and supervisors and required skills and competence in supervising students. © 2013.
Cerruela García, G; García-Pedrajas, N; Luque Ruiz, I; Gómez-Nieto, M Á
2018-03-01
This paper proposes a method for molecular activity prediction in QSAR studies using ensembles of classifiers constructed by means of two supervised subspace projection methods, namely nonparametric discriminant analysis (NDA) and hybrid discriminant analysis (HDA). We studied the performance of the proposed ensembles compared to classical ensemble methods using four molecular datasets and eight different models for the representation of the molecular structure. Using several measures and statistical tests for classifier comparison, we observe that our proposal improves the classification results with respect to classical ensemble methods. Therefore, we show that ensembles constructed using supervised subspace projections offer an effective way of creating classifiers in cheminformatics.
Loprinzi, Paul D.; Cardinal, Bradley J.; Si, Qi; Bennett, Jill A.; Winters-Stone, Kerri
2014-01-01
Purpose Supervised exercise interventions can elicit numerous positive health outcomes in older breast cancer survivors. However, to maintain these benefits, regular exercise needs to be maintained long after the supervised program. This may be difficult, as in this transitional period (i.e., time period immediately following a supervised exercise program), breast cancer survivors are in the absence of on-site direct supervision from a trained exercise specialist. The purpose of the present study was to identify key determinants of regular exercise participation during a 6-month follow-up period after a 12-month supervised exercise program among women aged 65+ years who had completed adjuvant treatment for breast cancer. Methods At the conclusion of a supervised exercise program, and 6-months later, 69 breast cancer survivors completed surveys examining their exercise behavior and key constructs from the Transtheoretical Model. Results After adjusting for weight status and physical activity at the transition point, breast cancer survivors with higher self-efficacy at the point of transition were more likely to be active 6-months after leaving the supervised exercise program (OR [95% CI]: 1.10 [1.01–1.18]). Similarly, breast cancer survivors with higher behavioral processes of change use at the point of transition were more likely to be active (OR [95% CI]: 1.13 [1.02–1.26]). Conclusion These findings suggest that self-efficacy and the behavioral processes of change, in particular, play an important role in exercise participation during the transition from a supervised to a home-based program among older breast cancer survivors. PMID:22252545
Value of supervised learning events in predicting doctors in difficulty.
Patel, Mumtaz; Agius, Steven; Wilkinson, Jack; Patel, Leena; Baker, Paul
2016-07-01
In the UK, supervised learning events (SLE) replaced traditional workplace-based assessments for foundation-year trainees in 2012. A key element of SLEs was to incorporate trainee reflection and assessor feedback in order to drive learning and identify training issues early. Few studies, however, have investigated the value of SLEs in predicting doctors in difficulty. This study aimed to identify principles that would inform understanding about how and why SLEs work or not in identifying doctors in difficulty (DiD). A retrospective case-control study of North West Foundation School trainees' electronic portfolios was conducted. Cases comprised all known DiD. Controls were randomly selected from the same cohort. Free-text supervisor comments from each SLE were assessed for the four domains defined in the General Medical Council's Good Medical Practice Guidelines and each scored blindly for level of concern using a three-point ordinal scale. Cumulative scores for each SLE were then analysed quantitatively for their predictive value of actual DiD. A qualitative thematic analysis was also conducted. The prevalence of DiD in this sample was 6.5%. Receiver operator characteristic curve analysis showed that Team Assessment of Behaviour (TAB) was the only SLE strongly predictive of actual DiD status. The Educational Supervisor Report (ESR) was also strongly predictive of DiD status. Fisher's test showed significant associations of TAB and ESR for both predicted and actual DiD status and also the health and performance subtypes. None of the other SLEs showed significant associations. Qualitative data analysis revealed inadequate completion and lack of constructive, particularly negative, feedback. This indicated that SLEs were not used to their full potential. TAB and the ESR are strongly predictive of DiD. However, SLEs are not being used to their full potential, and the quality of completion of reports on SLEs and feedback needs to be improved in order to better identify and manage DiD. © 2016 John Wiley & Sons Ltd.
ERIC Educational Resources Information Center
Gómez Puente, S. M.; van Eijck, M.; Jochems, W.
2013-01-01
Background: In research on design-based learning (DBL), inadequate attention is paid to the role the teacher plays in supervising students in gathering and applying knowledge to design artifacts, systems, and innovative solutions in higher education. Purpose: In this study, we examine whether teacher actions we previously identified in the DBL…
ERIC Educational Resources Information Center
Badah, Ahmad; AL-Awawdeh, Amal; Akroush, Lubna; Al Shobaki, Nayfah
2013-01-01
This study attempts to identify the difficulties facing the educational supervision processes in the public schools of the Directorate of Education at Jarash Governorate, Jordan, by surveying the principals of these schools. The sample size consisted of (143) male and female principals in the Governorate of Jarash Directorate of Education. In…
ERIC Educational Resources Information Center
Carr, Linda
This learning unit on using graphs is one in the Choice Series, a self-learning development program for supervisors. Purpose stated for the approximately eight-hour-long unit is to enable the supervisor to look at the usefulness of graphs in displaying figures, use graphs to compare sets of figures, identify trends and seasonal variations in…
Berney, Alexandre; Bourquin, Céline
2017-12-22
This article reports on what is at work during individual supervision of medical students in the context of teaching breaking bad news (BBN). Surprisingly, there is a relative lack of research and report on the topic of supervision, even though it is regularly used in medical training. Building on our research and teaching experience on BBN at the undergraduate level, as well as interviews of supervisors, the following key elements have been identified: learning objectives (e.g., raising student awareness of structural elements of the interview, emotion (patients and students) handling), pedagogical approach (being centered on student's needs and supportive to promote already existing competences), essentials (e.g., discussing skills and examples from the clinical practice), and enhancing reflexivity while discussing specific issues (e.g., confusion between the needs of the patient and those of the student). Individual supervision has been identified as crucial and most satisfactory by students to provide guidance and to foster a reflexive stance enabling them to critically apprehend their communication style. Ultimately, the challenge is to teach medical students to not only connect with the patient but also with themselves.
Martin, Shannon K; Tulla, Kiara; Meltzer, David O; Arora, Vineet M; Farnan, Jeanne M
2017-12-01
Advances in information technology have increased remote access to the electronic health record (EHR). Concurrently, standards defining appropriate resident supervision have evolved. How often and under what circumstances inpatient attending physicians remotely access the EHR for resident supervision is unknown. We described a model of attending remote EHR use for resident supervision, and quantified the frequency and magnitude of use. Using a mixed methods approach, general medicine inpatient attendings were surveyed and interviewed about their remote EHR use. Frequency of use and supervisory actions were quantitatively examined via survey. Transcripts from semistructured interviews were analyzed using grounded theory to identify codes and themes. A total of 83% (59 of 71) of attendings participated. Fifty-seven (97%) reported using the EHR remotely, with 54 (92%) reporting they discovered new clinical information not relayed by residents via remote EHR use. A majority (93%, 55 of 59) reported that this resulted in management changes, and 54% (32 of 59) reported making immediate changes by contacting cross-covering teams. Six major factors around remote EHR use emerged: resident, clinical, educational, personal, technical, and administrative. Attendings described resident and clinical factors as facilitating "backstage" supervision via remote EHR use. In our study to assess attending remote EHR use for resident supervision, attendings reported frequent remote use with resulting supervisory actions, describing a previously uncharacterized form of "backstage" oversight supervision. Future work should explore best practices in remote EHR use to provide effective supervision and ultimately improve patient safety.
The influence of supervision on manual adherence and therapeutic processes.
Anderson, Timothy; Crowley, Mary Ellen J; Patterson, Candace L; Heckman, Bernadette D
2012-09-01
To identify the effectiveness of psychotherapy supervision on therapists' immediate (next session) and long-term (1 year) adherence to time-limited dynamic psychotherapy (TLDP). Sixteen therapists from the Vanderbilt II psychotherapy project were assigned new cases in pretraining, training, and booster/posttraining year-long cohorts. Technical adherence to the manual, as well as general therapeutic relational processes, were rated for clinical supervisory sessions in which the third therapy session was discussed. The therapy sessions immediately before and after the supervisory sessions were also rated for technical adherence and relational processes. Postsupervision adherence increased from the presupervision session during the training cohort. In supervision, therapists' discussion of techniques and strategies from the manual in supervision was significantly related to technical adherence in the session prior to (but not after) supervision. However, supervisors' discussion of specific techniques predicted therapists' total technical adherence in the therapy session after (but not before) supervision. In terms of the type of techniques, supervisors' influenced postsupervision therapy adherence on TLDP's unique approach to formulation, the cyclical maladaptive pattern, but did not influence technical adherence on the therapeutic relationship. In supervision, therapists tend to focus on how they adhered to techniques from the previous session, whereas supervisors' comments about specific techniques predicted how the therapist would adhere to techniques in the next therapy session. The findings provide support for the immediate effects of supervision in shaping therapist techniques as well as highlighting the challenges of altering common relational processes through technical training. © 2012 Wiley Periodicals, Inc.
Evaluation of a youth agency's supervision practices: A mixed-method approach.
Gosselin, Julie; Valiquette-Tessier, Sophie-Claire; Vandette, Marie-Pier; Romano, Elisa
2015-10-01
This research presents the findings from an evaluation and organizational development initiative that was requested by a Canadian youth agency working in a large urban setting. A team of four researchers affiliated with the Center for Research on Educational and Community Services (CRECS) at the University of Ottawa conducted the evaluation. The purpose of the evaluation was to identify the supervision needs and challenges of coordinators and front line staff, assess the efficiency of the current supervision practices, and evaluate the supervisors' and supervisees' satisfaction with these current practices. A literature review was performed to help provide a clear definition of 'supervision' and the different professional roles it encompasses. Additionally, research evidence pertaining both to what contributes to supervision efficacy and supervisor competency was reviewed to distill the most robust findings in the existing literature. The lines of evidence consisted of a document and file review, an online employee survey, group discussions (i.e. focus groups), and interviews with key informants. The results of the evaluation helped the research team formulate recommendations to the agency for the development of enhanced supervision practices across its various service areas. Copyright © 2015 Elsevier Ltd. All rights reserved.
Planning and supervision of reactor defueling using discrete event techniques
DOE Office of Scientific and Technical Information (OSTI.GOV)
Garcia, H.E.; Imel, G.R.; Houshyar, A.
1995-12-31
New fuel handling and conditioning activities for the defueling of the Experimental Breeder Reactor II are being performed at Argonne National Laboratory. Research is being conducted to investigate the use of discrete event simulation, analysis, and optimization techniques to plan, supervise, and perform these activities in such a way that productivity can be improved. The central idea is to characterize this defueling operation as a collection of interconnected serving cells, and then apply operational research techniques to identify appropriate planning schedules for given scenarios. In addition, a supervisory system is being developed to provide personnel with on-line information on themore » progress of fueling tasks and to suggest courses of action to accommodate changing operational conditions. This paper provides an introduction to the research in progress at ANL. In particular, it briefly describes the fuel handling configuration for reactor defueling at ANL, presenting the flow of material from the reactor grid to the interim storage location, and the expected contributions of this work. As an example of the studies being conducted for planning and supervision of fuel handling activities at ANL, an application of discrete event simulation techniques to evaluate different fuel cask transfer strategies is given at the end of the paper.« less
Improved Anomaly Detection using Integrated Supervised and Unsupervised Processing
NASA Astrophysics Data System (ADS)
Hunt, B.; Sheppard, D. G.; Wetterer, C. J.
There are two broad technologies of signal processing applicable to space object feature identification using nonresolved imagery: supervised processing analyzes a large set of data for common characteristics that can be then used to identify, transform, and extract information from new data taken of the same given class (e.g. support vector machine); unsupervised processing utilizes detailed physics-based models that generate comparison data that can then be used to estimate parameters presumed to be governed by the same models (e.g. estimation filters). Both processes have been used in non-resolved space object identification and yield similar results yet arrived at using vastly different processes. The goal of integrating the results of the two is to seek to achieve an even greater performance by building on the process diversity. Specifically, both supervised processing and unsupervised processing will jointly operate on the analysis of brightness (radiometric flux intensity) measurements reflected by space objects and observed by a ground station to determine whether a particular day conforms to a nominal operating mode (as determined from a training set) or exhibits anomalous behavior where a particular parameter (e.g. attitude, solar panel articulation angle) has changed in some way. It is demonstrated in a variety of different scenarios that the integrated process achieves a greater performance than each of the separate processes alone.
Salvatore, C; Cerasa, A; Castiglioni, I; Gallivanone, F; Augimeri, A; Lopez, M; Arabia, G; Morelli, M; Gilardi, M C; Quattrone, A
2014-01-30
Supervised machine learning has been proposed as a revolutionary approach for identifying sensitive medical image biomarkers (or combination of them) allowing for automatic diagnosis of individual subjects. The aim of this work was to assess the feasibility of a supervised machine learning algorithm for the assisted diagnosis of patients with clinically diagnosed Parkinson's disease (PD) and Progressive Supranuclear Palsy (PSP). Morphological T1-weighted Magnetic Resonance Images (MRIs) of PD patients (28), PSP patients (28) and healthy control subjects (28) were used by a supervised machine learning algorithm based on the combination of Principal Components Analysis as feature extraction technique and on Support Vector Machines as classification algorithm. The algorithm was able to obtain voxel-based morphological biomarkers of PD and PSP. The algorithm allowed individual diagnosis of PD versus controls, PSP versus controls and PSP versus PD with an Accuracy, Specificity and Sensitivity>90%. Voxels influencing classification between PD and PSP patients involved midbrain, pons, corpus callosum and thalamus, four critical regions known to be strongly involved in the pathophysiological mechanisms of PSP. Classification accuracy of individual PSP patients was consistent with previous manual morphological metrics and with other supervised machine learning application to MRI data, whereas accuracy in the detection of individual PD patients was significantly higher with our classification method. The algorithm provides excellent discrimination of PD patients from PSP patients at an individual level, thus encouraging the application of computer-based diagnosis in clinical practice. Copyright © 2013 Elsevier B.V. All rights reserved.
Henshaw, Anne-Marie; Clarke, David; Long, Andrew F
2013-01-01
Within the United Kingdom, the statutory supervision of midwives has a central role in both the provision of safe, high-quality maternity services and in the regulation of midwifery practice. Despite its long history, little is currently known about how midwives and their supervisors perceive and experience the statutory supervisory process. to review and synthesise published research on midwives and supervisors of midwives' perceptions of the statutory supervision of midwives within the United Kingdom. a systematic review of published, empirical literature was undertaken. This comprised a systematic search of six electronic databases, supplemented by hand-searching and contact with five subject experts. Each of the 19 papers that met the inclusion criteria were critically appraised, thematic analysis was used to systematically extract key themes and a narrative approach to data synthesis was adopted, giving greatest weight to studies of higher methodological quality. three studies were rated as high quality, 12 good quality and four poor quality. Four overarching themes were identified; within each theme a range of perspectives were reported. These encompassed very positive views at one end of the continuum to very negative views at the other. The four themes reported variable understanding of the statutory supervisory framework and engagement with supervisory processes; contradictory views regarding the value of supervision and inconsistent relationships were described across the literature. Supportive relationships and high quality leadership were described as being empowering and developmental while perceived power imbalances resulted in supervision being portrayed as punitive and destructive. Resourcing supervision, by way of protected time and recompense was recognised to be a challenge. this review highlighted considerable variability in both midwives' and supervisor's understanding of the nature and purpose of supervision as part of the NMC statutory framework. In particular, the potential for supervision to enhance personal development and midwives' practice varied according to the nature of the relationship between midwife and supervisor. The importance of supervision being fit for purpose and supervisors possessing the requisite knowledge, skills and attitudes to execute their role and responsibilities effectively cannot be underestimated. More research is needed to examine ways in which statutory supervision contributes to patient safety and high quality care and what opportunities there may be for the statutory framework to develop and empower midwives to work within current, and future, contexts of maternity care. as 13 of the 19 studies included within this review were conducted prior to publication of the current rules and standards underpinning the statutory framework for midwifery within the UK (NMC, 2004, 2006), it is plausible that the evidence base does not reflect contemporary midwifery and statutory supervisory practice. Notwithstanding, the research included within this review clearly suggests a need to increase both midwives and supervisors of midwives' knowledge and understanding of the statutory framework. Copyright © 2011 Elsevier Ltd. All rights reserved.
Vékony, Hedy; Röser, Kerstin; Löning, Thomas; Ylstra, Bauke; Meijer, Gerrit A; van Wieringen, Wessel N; van de Wiel, Mark A; Carvalho, Beatriz; Kok, Klaas; Leemans, C René; van der Waal, Isaäc; Bloemena, Elisabeth
2009-02-01
Salivary gland myoepithelial tumors are relatively uncommon tumors with an unpredictable clinical course. More knowledge about their genetic profiles is necessary to identify novel predictors of disease. In this study, we subjected 27 primary tumors (15 myoepitheliomas and 12 myoepithelial carcinomas) to genome-wide microarray-based comparative genomic hybridization (array CGH). We set out to delineate known chromosomal aberrations in more detail and to unravel chromosomal differences between benign myoepitheliomas and myoepithelial carcinomas. Patterns of DNA copy number aberrations were analyzed by unsupervised hierarchical cluster analysis. Both benign and malignant tumors revealed a limited amount of chromosomal alterations (median of 5 and 7.5, respectively). In both tumor groups, high frequency gains (> or =20%) were found mainly at loci of growth factors and growth factor receptors (e.g., PDGF, FGF(R)s, and EGFR). In myoepitheliomas, high frequency losses (> or =20%) were detected at regions of proto-cadherins. Cluster analysis of the array CGH data identified three clusters. Differential copy numbers on chromosome arm 8q and chromosome 17 set the clusters apart. Cluster 1 contained a mixture of the two phenotypes (n = 10), cluster 2 included mostly benign tumors (n = 10), and cluster 3 only contained carcinomas (n = 7). Supervised analysis between malignant and benign tumors revealed a 36 Mbp-region at 8q being more frequently gained in malignant tumors (P = 0.007, FDR = 0.05). This is the first study investigating genomic differences between benign and malignant myoepithelial tumors of the salivary glands at a genomic level. Both unsupervised and supervised analysis of the genomic profiles revealed chromosome arm 8q to be involved in the malignant phenotype of salivary gland myoepitheliomas.
Goodacre, R; Hiom, S J; Cheeseman, S L; Murdoch, D; Weightman, A J; Wade, W G
1996-02-01
Curie-point pyrolysis mass spectra were obtained from 29 oral asaccharolytic Eubacterium strains and 6 abscess isolates previously identified as Peptostreptococcus heliotrinreducens. Pyrolysis mass spectrometry (PyMS) with cluster analysis was able to clarify the taxonomic position of this group of organisms. Artificial neural networks (ANNS) were then trained by supervised learning (with the back-propagation algorithm) to recognize the strains from their pyrolysis mass spectra; all Eubacterium strains were correctly identified, and the abscess isolates were identified as un-named Eubacterium taxon C2 and were distinct from the type strain of P. heliotrinreducens. These results demonstrate that the combination of PyMS and ANNs provides a rapid and accurate identification technique.
ERIC Educational Resources Information Center
Brusling, Christer; Tingsell, Jan-Gunnar
This new model for the supervision of student teachers utilizes videotaping hardware which allows the student teacher and his supervisor to evaluate teaching methods and behavior. Thus, the student teacher is better able to supervise himself. Employing Flanders Interaction Analysis, the student is able to interpret his teaching on closed-circuit…
ERIC Educational Resources Information Center
Bobbitt, Frank
A study was made of the opinions and programs of a selected group of 77 vocational agriculture instructors to determine the status of supervised occupational experience (SOE) programs among secondary agricultural instructors who had been identified as some of the best in the states surveyed. Of particular interest was the relative role that the…
ERIC Educational Resources Information Center
Rohrbach, Norman; And Others
This project developed four lessons that reflect the 1981 tax laws as they relate to the use of investment credit and depreciation in farm accounting systems. Project staff reviewed tax laws and related materials and identified four lessons in farm management and supervised occupational experience that needed revision. Materials were then…
Bailey, Claire; Blake, Carolyn; Schriver, Michael; Cubaka, Vincent Kalumire; Thomas, Tisa; Martin Hilber, Adriane
2016-01-01
It may be assumed that supportive supervision effectively builds capacity, improves the quality of care provided by frontline health workers, and positively impacts clinical outcomes. Evidence on the role of supervision in Sub-Saharan Africa has been inconclusive, despite the critical need to maximize the workforce in low-resource settings. To review the published literature from Sub-Saharan Africa on the effects of supportive supervision on quality of care, and health worker motivation and performance. A systematic review of seven databases of both qualitative and quantitative studies published in peer-reviewed journals. Selected studies were based in primary healthcare settings in Sub-Saharan Africa and present primary data concerning supportive supervision. Thematic synthesis where data from the identified studies were grouped and interpreted according to prominent themes. Supportive supervision can increase job satisfaction and health worker motivation. Evidence is mixed on whether this translates to increased clinical competence and there is little evidence of the effect on clinical outcomes. Results highlight the lack of sound evidence on the effects of supportive supervision owing to limitations in research design and the complexity of evaluating such interventions. The approaches required a high level of external inputs, which challenge the sustainability of such models. Copyright © 2015 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.
Wind, Astrid de; Burr, Hermann; Pohrt, Anne; Hasselhorn, Hans Martin; Van der Beek, Allard Johan; Rugulies, Reiner
2017-07-01
The aims of this article are to (1) determine whether and to what extent general perceived health and quality of supervision predict voluntary early retirement pension (VERP) and (2) assess whether quality of supervision modifies the association between general perceived health and VERP. Employees aged 49-64 years who participated in the Danish Work Environment Cohort Study in 2000 were selected. Their questionnaire data about health and work were linked to register data on social transfer payments, among others VERP, from 2001 to 2012 in the Danish Register for Evaluation of Marginalization ( N=1167). Cox proportional hazards analyses were performed to identify the prospective association of general perceived health and quality of supervision on VERP. Relative excess risks due to interaction (RERIs) were calculated to assess whether quality of supervision modified the association between health and VERP. Employees with poor health at baseline had an increased risk of VERP during follow-up (hazard ratio [HR]=1.23; 95% confidence interval [CI] 1.02-1.49). Quality of supervision at baseline was not associated to VERP during follow-up (HR=1.04; 95% CI 0.90-1.21). There was no statistically significant interaction of poor health and poor quality of supervision with regard to risk of VERP (RERI=-0.33; 95% CI -1.79 to 1.14). This study did not support the notion that quality of supervision buffers the association between poor health and VERP. Future research is needed to determine whether other aspects of supervision, for example supervisors' opportunities to effectuate workplace adjustments, may modify the association of poor health and VERP.
de Wind, Astrid; Burr, Hermann; Pohrt, Anne; Hasselhorn, Hans Martin; Van der Beek, Allard Johan; Rugulies, Reiner
2017-01-01
Objectives: The aims of this article are to (1) determine whether and to what extent general perceived health and quality of supervision predict voluntary early retirement pension (VERP) and (2) assess whether quality of supervision modifies the association between general perceived health and VERP. Methods: Employees aged 49–64 years who participated in the Danish Work Environment Cohort Study in 2000 were selected. Their questionnaire data about health and work were linked to register data on social transfer payments, among others VERP, from 2001 to 2012 in the Danish Register for Evaluation of Marginalization (N=1167). Cox proportional hazards analyses were performed to identify the prospective association of general perceived health and quality of supervision on VERP. Relative excess risks due to interaction (RERIs) were calculated to assess whether quality of supervision modified the association between health and VERP. Results: Employees with poor health at baseline had an increased risk of VERP during follow-up (hazard ratio [HR]=1.23; 95% confidence interval [CI] 1.02–1.49). Quality of supervision at baseline was not associated to VERP during follow-up (HR=1.04; 95% CI 0.90–1.21). There was no statistically significant interaction of poor health and poor quality of supervision with regard to risk of VERP (RERI=−0.33; 95% CI −1.79 to 1.14). Conclusions: This study did not support the notion that quality of supervision buffers the association between poor health and VERP. Future research is needed to determine whether other aspects of supervision, for example supervisors’ opportunities to effectuate workplace adjustments, may modify the association of poor health and VERP. PMID:28381121
Communication--a core concept in client supervision by public health nurses.
Tveiten, Sidsel; Severinsson, Elisabeth
2006-04-01
The aim of this study was to explore public health nurses' reflections on client supervision. Reflection on actions represents a possible basis for constructing and refining assumptions on current theories used in practice thus making knowledge development possible. Transcript-based qualitative content analysis was used to analyse the findings from individual interviews with 13 female public health nurses. Communication is a core concept of client supervision by public health nurses and includes the following themes: (1) building a trusting relationship, (2) looking beyond the current situation, (3) creating a partnership and equality and (4) considering the challenge involved in trying to act in the clients' best interests. This study shows that public health nurses' reflection and reflecting related to their provision of client supervision revealed one possible assumption regarding their theories-in-use; communication is a core concept in client supervision. Communication is viewed from a hermeneutic perspective--as the meaning of the interaction between the public health nurses and the client in the supervision is reflected upon and interpreted.
2014-01-01
Background In Nepal, childhood unintentional injury is an emerging public health problem but it has not been prioritised on national health agenda. There is lack of literature on community perceptions about child injuries. This study has explored community perceptions about child injuries and how injuries can be prevented. Methods Focus group discussions were conducted with mothers, school students and community health volunteers from urban and rural parts of Makwanpur district in Nepal. FGDs were conducted in Nepali languages. These were recorded, transcribed and translated into English. A theoretical framework was identified and thematic analysis conducted. Results Three focus group discussions, with a total of 27 participants, took place. Participants were able to identify examples of child injuries which took place in their community but these generally related to fatal and severe injuries. Participants identified risk factors such as the child’s age, gender, behaviours and whether they had been supervised. Consequences of injuries such as physical and psychological effects, impact on household budgets and disturbance in household plans were identified. Suggestions were made about culturally appropriate prevention measures, and included; suitable supervision arrangements, separation of hazards and teaching about safety to the parents and children. Conclusion Community members in Nepal can provide useful information about childhood injuries and their prevention but this knowledge is not transferred into action. Understanding community perceptions about injuries and their prevention can contribute to the development of preventive interventions in low income settings. PMID:24886124
Verver, Didi; Merten, Hanneke; Robben, Paul; Wagner, Cordula
2015-01-01
Introduction The Dutch healthcare inspectorate (IGZ) supervises the quality and safety of healthcare in the Netherlands. Owing to the growing population of (community dwelling) older adults and changes in the Dutch healthcare system, the IGZ is exploring new methods to effectively supervise care networks that exist around frail older adults. The composition of these networks, where formal and informal care takes place, and the lack of guidelines and quality and risk indicators make supervision complicated in the current situation. Methods and analysis This study consists of four phases. The first phase identifies risks for community dwelling frail older adults in the existing literature. In the second phase, a qualitative pilot study will be conducted to assess the needs and wishes of the frail older adults concerning care and well-being, perception of risks, and the composition of their networks, collaboration and coordination between care providers involved in the network. In the third phase, questionnaires based on the results of phase II will be sent to a larger group of frail older adults (n=200) and their care providers. The results will describe the composition of their care networks and prioritise risks concerning community dwelling older adults. Also, it will provide input for the development of a new supervision framework by the IGZ. During phase IV, a second questionnaire will be sent to the participants of phase III to establish changes of perception in risks and possible changes in the care networks. The framework will be tested by the IGZ in pilots, and the researchers will evaluate these pilots and provide feedback to the IGZ. Ethics and dissemination The study protocol was approved by the Scientific Committee of the EMGO+institute and the Medical Ethical review committee of the VU University Medical Centre. Results will be presented in scientific articles and reports and at meetings. PMID:26307619
Taguchi, Y-h; Iwadate, Mitsuo; Umeyama, Hideaki
2015-04-30
Feature extraction (FE) is difficult, particularly if there are more features than samples, as small sample numbers often result in biased outcomes or overfitting. Furthermore, multiple sample classes often complicate FE because evaluating performance, which is usual in supervised FE, is generally harder than the two-class problem. Developing sample classification independent unsupervised methods would solve many of these problems. Two principal component analysis (PCA)-based FE, specifically, variational Bayes PCA (VBPCA) was extended to perform unsupervised FE, and together with conventional PCA (CPCA)-based unsupervised FE, were tested as sample classification independent unsupervised FE methods. VBPCA- and CPCA-based unsupervised FE both performed well when applied to simulated data, and a posttraumatic stress disorder (PTSD)-mediated heart disease data set that had multiple categorical class observations in mRNA/microRNA expression of stressed mouse heart. A critical set of PTSD miRNAs/mRNAs were identified that show aberrant expression between treatment and control samples, and significant, negative correlation with one another. Moreover, greater stability and biological feasibility than conventional supervised FE was also demonstrated. Based on the results obtained, in silico drug discovery was performed as translational validation of the methods. Our two proposed unsupervised FE methods (CPCA- and VBPCA-based) worked well on simulated data, and outperformed two conventional supervised FE methods on a real data set. Thus, these two methods have suggested equivalence for FE on categorical multiclass data sets, with potential translational utility for in silico drug discovery.
Public health nurses' supervision of clients in Norway.
Tveiten, S; Severinsson, E
2005-09-01
The aim of this study was to explore and describe what public health nurses (PHNs) understand by client supervision and how they perform it. The main principles of the health promotion discourse initiated by the World Health Organization (WHO) over the last 20-30 years are client participation and the view of the client as expert. Supervision is one relevant intervention strategy in the empowerment process, in which these principles play a central role. There is a lack of research pertaining to the intervention models employed by PHNs. Twenty-three transcribed audiotaped dialogues between PHNs and their clients were analysed by means of qualitative content analysis. What the PHNs understand by supervision and how they perform it can be described by three themes: continuity in relationships and reflexivity in the supervision approach, communicating with the client about his/her needs, problems and worries; and the organization of client supervision. The PHNs in this study understand client supervision as communication and relationships with clients on the subject of a healthy lifestyle, child development and coping with everyday life. The PHNs' approach to client supervision seemed to include aspects of empowerment by means of client participation and the view of the client as expert. However, the PHNs themselves had an expert role.
Hurley, Deirdre A; O'Donoghue, Grainne; Tully, Mark A; Moffett, Jennifer Klaber; van Mechelen, Willem; Daly, Leslie; Boreham, Colin AG; McDonough, Suzanne M
2009-01-01
Background Chronic low back pain (CLBP) is a persistent disabling condition with rising significant healthcare, social and economic costs. Current research supports the use of exercise-based treatment approaches that encourage people with CLBP to assume a physically active role in their recovery. While international clinical guidelines and systematic reviews for CLBP support supervised group exercise as an attractive first-line option for treating large numbers of CLBP patients at low cost, barriers to their delivery include space and time restrictions in healthcare settings and poor patient attendance. The European Clinical Guidelines have identified the need for research in the use of brief/minimal contact self-activation interventions that encourage participation in physical activity for CLBP. Walking may be an ideally suited form of individualized exercise prescription as it is easy to do, requires no special skills or facilities, and is achievable by virtually all ages with little risk of injury, but its effectiveness for LBP is unproven. Methods and design This study will be an assessor-blinded randomized controlled trial that will investigate the difference in clinical effectiveness and costs of an individualized walking programme and a supervised general exercise programme compared to usual physiotherapy, which will act as the control group, in people with chronic low back pain. A sample of 246 patients will be recruited in Dublin, Ireland through acute general hospital outpatient physiotherapy departments that provide treatment for people with CLBP. Patients will be randomly allocated to one of the three groups in a concealed manner. The main outcomes will be functional disability, pain, quality of life, fear avoidance, back beliefs, physical activity, satisfaction and costs, which will be evaluated at baseline, and 3, 6 and 12 months [follow-up by pre-paid postage]. Qualitative telephone interviews and focus groups will be embedded in the research design to obtain feedback about participants' experiences of the interventions and trial participation, and to inform interpretation of the quantitative data. Planned analysis will be by intention to treat (quantitative data) and thematic analysis (qualitative data) Discussion The trial will evaluate the effectiveness of a walking programme and a supervised general exercise programme compared to usual physiotherapy in people with CLBP. Trial registration Current controlled trial ISRCTN17592092 PMID:19573247
Kumar, Saravana; Osborne, Kate; Lehmann, Tanya
2015-10-01
Recent times have witnessed dramatic changes in health care with overt recognition for quality and safety to underpin health care service delivery. In addition to systems-wide focus, the importance of supporting and mentoring people delivering the care has also been recognised. This can be achieved through quality clinical supervision. In 2010, Country Health South Australia Local Health Network developed a holistic allied health clinical governance structure, which was implemented in 2011. This research reports on emergent findings from the evaluation of the clinical governance structure, which included mandating clinical supervision for all allied health staff. A mixed method approach was chosen with evaluation of the impact of clinical supervision undertaken by a psychometrically sound instrument (Manchester Clinical Supervision Scale 26-item version), collected through an anonymous online survey and qualitative data collected through semistructured interviews and focus groups. Overall, 189 allied health professionals responded to the survey. Survey responses indicated allied health professionals recognised the importance of and valued receiving clinical supervision (normative domain), had levels of trust and rapport with, and were supported by supervisors (restorative domain) and positively affected their delivery of care and improvement in skills (formative domain). Qualitative data identified enablers such as profession specific gains, improved opportunities and consistency for clinical supervision and barriers such as persistent organisational issues, lack of clarity (delineation of roles) and communication issues. The findings from this research highlight that while clinical supervision has an important role to play, it is not a panacea for all the ills of the health care system. © 2015 National Rural Health Alliance Inc.
Zheng, Wu; Blake, Catherine
2015-10-01
Databases of curated biomedical knowledge, such as the protein-locations reflected in the UniProtKB database, provide an accurate and useful resource to researchers and decision makers. Our goal is to augment the manual efforts currently used to curate knowledge bases with automated approaches that leverage the increased availability of full-text scientific articles. This paper describes experiments that use distant supervised learning to identify protein subcellular localizations, which are important to understand protein function and to identify candidate drug targets. Experiments consider Swiss-Prot, the manually annotated subset of the UniProtKB protein knowledge base, and 43,000 full-text articles from the Journal of Biological Chemistry that contain just under 11.5 million sentences. The system achieves 0.81 precision and 0.49 recall at sentence level and an accuracy of 57% on held-out instances in a test set. Moreover, the approach identifies 8210 instances that are not in the UniProtKB knowledge base. Manual inspection of the 50 most likely relations showed that 41 (82%) were valid. These results have immediate benefit to researchers interested in protein function, and suggest that distant supervision should be explored to complement other manual data curation efforts. Copyright © 2015 Elsevier Inc. All rights reserved.
Davies, Robyn; Hanna, Elizabeth; Cott, Cheryl
2011-01-01
To identify the perceived benefits of and barriers to clinical supervision of physical therapy (PT) students. In this qualitative descriptive study, three focus groups and six key-informant interviews were conducted with clinical physical therapists or administrators working in acute care, orthopaedic rehabilitation, or complex continuing care. Data were coded and analyzed for common ideas using a constant comparison approach. Perceived barriers to supervising students tended to be extrinsic: time and space constraints, challenging or difficult students, and decreased autonomy or flexibility for the clinical physical therapists. Benefits tended to be intrinsic: teaching provided personal gratification by promoting reflective practice and exposing clinical educators to current knowledge. The culture of different health care institutions was an important factor in therapists' perceptions of student supervision. Despite different disciplines and models of supervision, there is considerable synchronicity in the issues reported by physical therapists and other disciplines. Embedding the value of clinical teaching in the institution, along with strong communication links among academic partners, institutions, and potential clinical faculty, may mitigate barriers and increase the commitment and satisfaction of teaching staff.
Farnan, Jeanne M.; Johnson, Julie K.; Meltzer, David O.; Harris, Ilene; Humphrey, Holly J.; Schwartz, Alan; Arora, Vineet M.
2010-01-01
Background Supervision is central to resident education and patient safety, yet there is little published evidence to describe a framework for clinical supervision. The aim of this study was to describe supervision strategies for on-call internal medicine residents. Methods Between January and November 2006, internal medicine residents and attending physicians at a single hospital were interviewed within 1 week of their final call on the general medicine rotation. Appreciative inquiry and critical incident technique were used to elicit perspectives on ideal and suboptimal supervision practices. A representative portion of transcripts were analyzed using an inductive approach to develop a coding scheme that was then applied to the entire set of transcripts. All discrepancies were resolved via discussion until consensus was achieved. Results Forty-four of 50 (88%) attending physicians and 46 of 50 (92%) eligible residents completed an interview. Qualitative analysis revealed a bidirectional model of suggested supervisory strategies, the “SUPERB/SAFETY” model; an interrater reliability of 0.70 was achieved. Suggestions for attending physicians providing supervision included setting expectations, recognizing uncertainty, planning communication, having easy availability, reassuring residents, balancing supervision, and having autonomy. Suggested resident strategies for seeking supervision from attending physicians included seeking input early, contacting for active clinical decisions or feeling uncertain, end of life issues, transitions in care, or help with systems issues. Common themes suggested by trainees and attending physicians included easy availability and preservation of resident decision-making autonomy. Discussion Residents and attending physicians have explicit expectations for optimal supervision. The SUPERB/SAFETY model of supervision may be an effective resource to enhance the clinical supervision of residents. PMID:21975883
van de Belt, Tom H; Engelen, Lucien J L P G; Verhoef, Lise M; van der Weide, Marian J A; Schoonhoven, Lisette; Kool, Rudolf B
2015-01-15
Social media has become mainstream and a growing number of people use it to share health care-related experiences, for example on health care rating sites. These users' experiences and ratings on social media seem to be associated with quality of care. Therefore, information shared by citizens on social media could be of additional value for supervising the quality and safety of health care services by regulatory bodies, thereby stimulating participation by consumers. The objective of the study was to identify the added value of social media for two types of supervision by the Dutch Healthcare Inspectorate (DHI), which is the regulatory body charged with supervising the quality and safety of health care services in the Netherlands. These were (1) supervision in response to incidents reported by individuals, and (2) risk-based supervision. We performed an exploratory study in cooperation with the DHI and searched different social media sources such as Twitter, Facebook, and healthcare rating sites to find additional information for these incidents and topics, from five different sectors. Supervision experts determined the added value for each individual result found, making use of pre-developed scales. Searches in social media resulted in relevant information for six of 40 incidents studied and provided relevant additional information in 72 of 116 cases in risk-based supervision of long-term elderly care. The results showed that social media could be used to include the patient's perspective in supervision. However, it appeared that the rating site ZorgkaartNederland was the only source that provided information that was of additional value for the DHI, while other sources such as forums and social networks like Twitter and Facebook did not result in additional information. This information could be of importance for health care inspectorates, particularly for its enforcement by risk-based supervision in care of the elderly. Further research is needed to determine the added value for other health care sectors.
Using Patient Experiences on Dutch Social Media to Supervise Health Care Services: Exploratory Study
Engelen, Lucien JLPG; Verhoef, Lise M; van der Weide, Marian JA; Schoonhoven, Lisette; Kool, Rudolf B
2015-01-01
Background Social media has become mainstream and a growing number of people use it to share health care-related experiences, for example on health care rating sites. These users’ experiences and ratings on social media seem to be associated with quality of care. Therefore, information shared by citizens on social media could be of additional value for supervising the quality and safety of health care services by regulatory bodies, thereby stimulating participation by consumers. Objective The objective of the study was to identify the added value of social media for two types of supervision by the Dutch Healthcare Inspectorate (DHI), which is the regulatory body charged with supervising the quality and safety of health care services in the Netherlands. These were (1) supervision in response to incidents reported by individuals, and (2) risk-based supervision. Methods We performed an exploratory study in cooperation with the DHI and searched different social media sources such as Twitter, Facebook, and healthcare rating sites to find additional information for these incidents and topics, from five different sectors. Supervision experts determined the added value for each individual result found, making use of pre-developed scales. Results Searches in social media resulted in relevant information for six of 40 incidents studied and provided relevant additional information in 72 of 116 cases in risk-based supervision of long-term elderly care. Conclusions The results showed that social media could be used to include the patient’s perspective in supervision. However, it appeared that the rating site ZorgkaartNederland was the only source that provided information that was of additional value for the DHI, while other sources such as forums and social networks like Twitter and Facebook did not result in additional information. This information could be of importance for health care inspectorates, particularly for its enforcement by risk-based supervision in care of the elderly. Further research is needed to determine the added value for other health care sectors. PMID:25592481
AbuSabha, Rayane; Muller, Colette; MacLasco, Jacqueline; George, Mary; Houghton, Erica; Helm, Alison
2018-03-01
The shortage of supervised practice sites in dietetics is associated with fewer numbers of preceptors available to supervise interns, especially in the clinical setting. To identify clinical dietitians' perceived benefits and challenges of training dietetic interns and to determine key motivators that would entice nonpreceptors to volunteer for the role. Registered dietitian nutritionists working in clinical settings completed a semi-structured, audiotaped interview followed by a brief questionnaire. Clinical dietitians working in hospitals, long-term care facilities, and outpatient clinics (n=100) participated: 54 preceptors and 46 nonpreceptors. Qualitative analysis was conducted using an iterative process to identify and code common themes. T tests were used to compare mean differences between the opinions of preceptors and nonpreceptors. Preceptors had approximately 5 more years of experience (mean=14.27±12.09 years) than nonpreceptors (mean=8.83±9.72 years) (P< 0.01). Furthermore, preceptors reported twice as many benefits to mentoring interns (mean=6.7 mentions/participant) as nonpreceptors (mean=3.4 mentions/participant), including knowledge gains and staying current. Lack of time was consistently noted as a barrier in interviews and rated as the greatest barrier in the survey. Both groups rated receiving continuing professional education units (CPEUs) for precepting as the greatest potential motivator for taking on interns. Incentive programs should be developed to entice nonpreceptors to take on interns. These programs should include extensive training on the preceptor role and how to alleviate the burden of time spent supervising interns and should provide a significant number of CPEUs to make the added workload worthwhile. Copyright © 2018 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.
Some simple guides to finding useful information in exploration geochemical data
Singer, D.A.; Kouda, R.
2001-01-01
Most regional geochemistry data reflect processes that can produce superfluous bits of noise and, perhaps, information about the mineralization process of interest. There are two end-member approaches to finding patterns in geochemical data-unsupervised learning and supervised learning. In unsupervised learning, data are processed and the geochemist is given the task of interpreting and identifying possible sources of any patterns. In supervised learning, data from known subgroups such as rock type, mineralized and nonmineralized, and types of mineralization are used to train the system which then is given unknown samples to classify into these subgroups. To locate patterns of interest, it is helpful to transform the data and to remove unwanted masking patterns. With trace elements use of a logarithmic transformation is recommended. In many situations, missing censored data can be estimated using multiple regression of other uncensored variables on the variable with censored values. In unsupervised learning, transformed values can be standardized, or normalized, to a Z-score by subtracting the subset's mean and dividing by its standard deviation. Subsets include any source of differences that might be related to processes unrelated to the target sought such as different laboratories, regional alteration, analytical procedures, or rock types. Normalization removes effects of different means and measurement scales as well as facilitates comparison of spatial patterns of elements. These adjustments remove effects of different subgroups and hopefully leave on the map the simple and uncluttered pattern(s) related to the mineralization only. Supervised learning methods, such as discriminant analysis and neural networks, offer the promise of consistent and, in certain situations, unbiased estimates of where mineralization might exist. These methods critically rely on being trained with data that encompasses all populations fairly and that can possibly fall into only the identified populations. ?? 2001 International Association for Mathematical Geology.
NASA Astrophysics Data System (ADS)
Besic, Nikola; Ventura, Jordi Figueras i.; Grazioli, Jacopo; Gabella, Marco; Germann, Urs; Berne, Alexis
2016-09-01
Polarimetric radar-based hydrometeor classification is the procedure of identifying different types of hydrometeors by exploiting polarimetric radar observations. The main drawback of the existing supervised classification methods, mostly based on fuzzy logic, is a significant dependency on a presumed electromagnetic behaviour of different hydrometeor types. Namely, the results of the classification largely rely upon the quality of scattering simulations. When it comes to the unsupervised approach, it lacks the constraints related to the hydrometeor microphysics. The idea of the proposed method is to compensate for these drawbacks by combining the two approaches in a way that microphysical hypotheses can, to a degree, adjust the content of the classes obtained statistically from the observations. This is done by means of an iterative approach, performed offline, which, in a statistical framework, examines clustered representative polarimetric observations by comparing them to the presumed polarimetric properties of each hydrometeor class. Aside from comparing, a routine alters the content of clusters by encouraging further statistical clustering in case of non-identification. By merging all identified clusters, the multi-dimensional polarimetric signatures of various hydrometeor types are obtained for each of the studied representative datasets, i.e. for each radar system of interest. These are depicted by sets of centroids which are then employed in operational labelling of different hydrometeors. The method has been applied on three C-band datasets, each acquired by different operational radar from the MeteoSwiss Rad4Alp network, as well as on two X-band datasets acquired by two research mobile radars. The results are discussed through a comparative analysis which includes a corresponding supervised and unsupervised approach, emphasising the operational potential of the proposed method.
Abusive supervision, psychosomatic symptoms, and deviance: Can job autonomy make a difference?
Velez, Maria João; Neves, Pedro
2016-07-01
Recently, interest in abusive supervision has grown (Tepper, 2000). However, little is still known about organizational factors that can reduce its adverse effects on employee behavior. Based on the Job Demands-Resources Model (Demerouti, Bakker, Nachreiner, & Schaufeli, 2001), we predict that job autonomy acts as a buffer of the positive relationship between abusive supervision, psychosomatic symptoms and deviance. Therefore, when job autonomy is low, a higher level of abusive supervision should be accompanied by increased psychosomatic symptoms and thus lead to higher production deviance. When job autonomy is high, abusive supervision should fail to produce increased psychosomatic symptoms and thus should not lead to higher production deviance. Our model was explored among a sample of 170 supervisor-subordinate dyads from 4 organizations. The results of the moderated mediation analysis supported our hypotheses. That is, abusive supervision was significantly related to production deviance via psychosomatic symptoms when job autonomy was low, but not when job autonomy was high. These findings suggest that job autonomy buffers the impact of abusive supervision perceptions on psychosomatic symptoms, with consequences for production deviance. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
A qualitative investigation of the nature of "informal supervision" among therapists in training.
Coren, Sidney; Farber, Barry A
2017-11-29
This study investigated how, when, why, and with whom therapists in training utilize "informal supervision"-that is, engage individuals who are not their formally assigned supervisors in significant conversations about their clinical work. Participants were 16 doctoral trainees in clinical and counseling psychology programs. Semi-structured interviews were conducted and analyzed using the Consensual Qualitative Research (CQR) method. Seven domains emerged from the analysis, indicating that, in general, participants believe that informal and formal supervision offer many of the same benefits, including validation, support, and reassurance; freedom and safety to discuss doubts, anxieties, strong personal reactions to patients, clinical mistakes and challenges; and alternative approaches to clinical interventions. However, several differences also emerged between these modes of learning-for example, formal supervision is seen as more focused on didactics per se ("what to do"), whereas informal supervision is seen as providing more of a "holding environment." Overall, the findings of this study suggest that informal supervision is an important and valuable adjunctive practice by which clinical trainees augment their professional competencies. Recommendations are proposed for clinical practice and training, including the need to further specify the ethical boundaries of this unique and essentially unregulated type of supervision.
Knudsen, Hannah K; Ducharme, Lori J; Roman, Paul M
2008-12-01
An intriguing hypothesis is that clinical supervision may protect against counselor turnover. This idea has been mentioned in recent discussions of the substance abuse treatment workforce. To test this hypothesis, we extend our previous research on emotional exhaustion and turnover intention among counselors by estimating the associations between clinical supervision and these variables in a large sample (N = 823). An exploratory analysis reveals that clinical supervision was negatively associated with emotional exhaustion and turnover intention. Given our previous findings that emotional exhaustion and turnover intention were associated with job autonomy, procedural justice, and distributive justice, we estimate a structural equation model to examine whether these variables mediated clinical supervision's associations with emotional exhaustion and turnover intention. These data support the fully mediated model. We found that the perceived quality of clinical supervision is strongly associated with counselors' perceptions of job autonomy, procedural justice, and distributive justice, which are, in turn, associated with emotional exhaustion and turnover intention. These data offer support for the protective role of clinical supervision in substance abuse treatment counselors' turnover and occupational well-being.
NASA Astrophysics Data System (ADS)
Gómez Puente, S. M.; van Eijck, M.; Jochems, W.
2013-11-01
Background: In research on design-based learning (DBL), inadequate attention is paid to the role the teacher plays in supervising students in gathering and applying knowledge to design artifacts, systems, and innovative solutions in higher education. Purpose: In this study, we examine whether teacher actions we previously identified in the DBL literature as important in facilitating learning processes and student supervision are present in current DBL engineering practices. Sample: The sample (N=16) consisted of teachers and supervisors in two engineering study programs at a university of technology: mechanical and electrical engineering. We selected randomly teachers from freshman and second-year bachelor DBL projects responsible for student supervision and assessment. Design and method: Interviews with teachers, and interviews and observations of supervisors were used to examine how supervision and facilitation actions are applied according to the DBL framework. Results: Major findings indicate that formulating questions is the most common practice seen in facilitating learning in open-ended engineering design environments. Furthermore, other DBL actions we expected to see based upon the literature were seldom observed in the coaching practices within these two programs. Conclusions: Professionalization of teachers in supervising students need to include methods to scaffold learning by supporting students in reflecting and in providing formative feedback.
Videosensor for the Detection of Unsafe Driving Behavior in the Proximity of Black Spots
Fuentes, Andres; Fuentes, Ricardo; Cabello, Enrique; Conde, Cristina; Martin, Isaac
2014-01-01
This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work. PMID:25347580
Familial correlates of extreme weight control behaviors among adolescents.
Fonseca, Helena; Ireland, Marjorie; Resnick, Michael D
2002-12-01
To identify familial factors associated with extreme weight control among adolescents. Analysis of a comprehensive 1996 health survey of Connecticut students. Familial factors among extreme dieters who deliberately vomited, took diet pills, laxatives, or diuretics were compared with youth reporting none of these behaviors, using logistic regression controlling for age and body mass index. Nearly 7% of adolescents reported engaging in extreme weight control behaviors. Boys' risk factors included high parental supervision/monitoring and sexual abuse history. Protective factors included high parental expectations, maternal presence, and connectedness with friends and other adults. The only significant risk factor for girls was sexual abuse history. Protective factors included family connectedness, positive family communication, parental supervision/monitoring, and maternal presence. Extreme dieting appears to be less an expression of body composition than of psychosocial issues. That connectedness to family, other adults, and friends is protective further demonstrates interrelationships of extreme weight control behaviors with family/social issues. Copyright 2002 by Wiley Periodicals, Inc. Int J Eat Disord 32: 441-448, 2002.
Videosensor for the detection of unsafe driving behavior in the proximity of black spots.
Fuentes, Andres; Fuentes, Ricardo; Cabello, Enrique; Conde, Cristina; Martin, Isaac
2014-10-24
This paper discusses the overall design and implementation of a video sensor for the detection of risky behaviors of car drivers near previously identified and georeferenced black spots. The main goal is to provide the driver with a visual audio alert that informs of the proximity of an area of high incidence of highway accidents only if their driving behavior could result in a risky situation. It proposes a video sensor for detecting and supervising driver behavior, its main objective being manual distractions, so hand driver supervision is performed. A GPS signal is also considered, the GPS information is compared with a database of global positioning Black Spots to determine the relative proximity of a risky area. The outputs of the video sensor and GPS sensor are combined to evaluate a possible risky behavior. The results are promising in terms of risk analysis in order to be validated for use in the context of the automotive industry as future work.
Chaotic map clustering algorithm for EEG analysis
NASA Astrophysics Data System (ADS)
Bellotti, R.; De Carlo, F.; Stramaglia, S.
2004-03-01
The non-parametric chaotic map clustering algorithm has been applied to the analysis of electroencephalographic signals, in order to recognize the Huntington's disease, one of the most dangerous pathologies of the central nervous system. The performance of the method has been compared with those obtained through parametric algorithms, as K-means and deterministic annealing, and supervised multi-layer perceptron. While supervised neural networks need a training phase, performed by means of data tagged by the genetic test, and the parametric methods require a prior choice of the number of classes to find, the chaotic map clustering gives a natural evidence of the pathological class, without any training or supervision, thus providing a new efficient methodology for the recognition of patterns affected by the Huntington's disease.
An empirical definition of clinical supervision.
Milne, Derek
2007-11-01
The growing recognition of clinical supervision as the basis for high-quality mental health services is apparent in policy, research and clinical practice, but an empirical definition is required to progress research and practice. A logical analysis was used to draft a working definition, and then a systematic review of 24 empirical studies of clinical supervision produced a best evidence synthesis, which was used to test and improve this definition. The logical analysis indicated that the most popular definition (Bernard & Goodyear, 1992) failed all four necessary tests of a good definition: precision, specification, operationalization and corroboration. The systematic review synthesis was then used to test the working definition, which passed these tests (with two amendments). These two complementary review approaches created a firmer basis for advancing research and practice.
Best practices in nursing homes. Clinical supervision, management, and human resource practices.
Dellefield, Mary Ellen
2008-07-01
Human resource practices including supervision and management are associated with organizational performance. Evidence supportive of such an association in nursing homes is found in the results of numerous research studies conducted during the past 17 years. In this article, best practices related to this topic have been culled from descriptive, explanatory, and intervention studies in a range of interdisciplinary research journals published between 1990 and 2007. Identified best practices include implementation of training programs on supervision and management for licensed nurses, certified nursing assistant job enrichment programs, implementation of consistent nursing assignments, and the use of electronic documentation. Organizational barriers and facilitators of these best practices are described. Copyright 2009, SLACK Incorporated.
How Supervisor Experience Influences Trust, Supervision, and Trainee Learning: A Qualitative Study.
Sheu, Leslie; Kogan, Jennifer R; Hauer, Karen E
2017-09-01
Appropriate trust and supervision facilitate trainees' growth toward unsupervised practice. The authors investigated how supervisor experience influences trust, supervision, and subsequently trainee learning. In a two-phase qualitative inductive content analysis, phase one entailed reviewing 44 internal medicine resident and attending supervisor interviews from two institutions (July 2013 to September 2014) for themes on how supervisor experience influences trust and supervision. Three supervisor exemplars (early, developing, experienced) were developed and shared in phase two focus groups at a single institution, wherein 23 trainees validated the exemplars and discussed how each impacted learning (November 2015). Phase one: Four domains of trust and supervision varying with experience emerged: data, approach, perspective, clinical. Early supervisors were detail oriented and determined trust depending on task completion (data), were rule based (approach), drew on their experiences as trainees to guide supervision (perspective), and felt less confident clinically compared with more experienced supervisors (clinical). Experienced supervisors determined trust holistically (data), checked key aspects of patient care selectively and covertly (approach), reflected on individual experiences supervising (perspective), and felt comfortable managing clinical problems and gauging trainee abilities (clinical). Phase two: Trainees felt the exemplars reflected their experiences, described their preferences and learning needs shifting over time, and emphasized the importance of supervisor flexibility to match their learning needs. With experience, supervisors differ in their approach to trust and supervision. Supervisors need to trust themselves before being able to trust others. Trainees perceive these differences and seek supervision approaches that align with their learning needs.
"People Are Messy": Complex Narratives of Supervising New Professionals in Student Affairs
ERIC Educational Resources Information Center
Davis, Tiffany J.; Cooper, Diane L.
2017-01-01
This study explored how supervisors in student affairs narrate their experiences of supervising new professionals. Utilizing narrative inquiry methodology, data were obtained through in-depth interviews of 13 supervisors and analyzed using thematic and narrative analysis methods. Implications for graduate preparation programs, professional…
The Supervisory Process of EFL Teachers: A Case Study
ERIC Educational Resources Information Center
Chen, Cheryl Wei-Yu; Cheng, Yuh-show
2013-01-01
Supervision is an essential part of language teachers' professional experiences. The literature on language teacher supervision from the past few decades consists largely of descriptions of supervisory approaches (Bailey, 2009) and analysis of the supervisory discourse (Hooton, 2008; Wajnryb, 1994; 1995; 1998; Wallace & Woolger, 1991). This…
Yang, Ming-Chin; Tung, Yu-Chi
2006-01-01
Examining whether the causal relationships among the performance indicators of the balanced scorecard (BSC) framework exist in hospitals is the aim of this article. Data were collected from all twenty-one general hospitals in a public hospital system and their supervising agency for the 3-year period, 2000-2002. The results of the path analyses identified significant causal relationships among four perspectives in the BSC model. We also verified the relationships among indicators within each perspective, some of which varied as time changed. We conclude that hospital administrators can use path analysis to help them identify and manage leading indicators when adopting the BSC model. However, they should also validate causal relationships between leading and lagging indicators periodically because the management environment changes constantly.
Community walking programs for treatment of peripheral artery disease
Mays, Ryan J.; Rogers, R. Kevin; Hiatt, William R.; Regensteiner, Judith G.
2013-01-01
Background Supervised walking programs offered at medical facilities for patients with peripheral artery disease (PAD) and intermittent claudication (IC), while effective, are often not utilized due to barriers including lack of reimbursement and the need to travel to specialized locations for the training intervention. Walking programs for PAD patients that occur in community settings, such as those outside of supervised settings, may be a viable treatment option, as they are convenient and potentially bypass the need for supervised walking. This review evaluated the various methodologies and outcomes of community walking programs for PAD. Methods A literature review using appropriate search terms was conducted within PubMed/Medline and the Cochrane databases to identify studies in the English language employing community walking programs to treat PAD patients with IC. Search results were reviewed, and relevant articles were identified that form the basis of this review. The primary outcome was peak walking performance on the treadmill. Results Randomized controlled trials (n=10) examining peak walking outcomes in 558 PAD patients demonstrated that supervised exercise programs were more effective than community walking studies that consisted of general recommendations for patients with IC to walk at home. Recent community trials that incorporated more advice and feedback for PAD patients in general resulted in similar outcomes with no differences in peak walking time compared to supervised walking exercise groups. Conclusions Unstructured recommendations for patients with symptomatic PAD to exercise in the community are not efficacious. Community walking programs with more feedback and monitoring offer improvements in walking performance for patients with claudication and may bypass some obstacles associated with facility-based exercise programs. PMID:24103409
Sigoillot, Frederic D; Huckins, Jeremy F; Li, Fuhai; Zhou, Xiaobo; Wong, Stephen T C; King, Randall W
2011-01-01
Automated time-lapse microscopy can visualize proliferation of large numbers of individual cells, enabling accurate measurement of the frequency of cell division and the duration of interphase and mitosis. However, extraction of quantitative information by manual inspection of time-lapse movies is too time-consuming to be useful for analysis of large experiments. Here we present an automated time-series approach that can measure changes in the duration of mitosis and interphase in individual cells expressing fluorescent histone 2B. The approach requires analysis of only 2 features, nuclear area and average intensity. Compared to supervised learning approaches, this method reduces processing time and does not require generation of training data sets. We demonstrate that this method is as sensitive as manual analysis in identifying small changes in interphase or mitotic duration induced by drug or siRNA treatment. This approach should facilitate automated analysis of high-throughput time-lapse data sets to identify small molecules or gene products that influence timing of cell division.
Clark, Jane E; Aitken, Susan; Watson, Nina; McVey, Joanne; Helbert, Jan; Wraith, Anita; Taylor, Vanessa; Catesby, Sarah
2015-06-01
National guidelines in the United Kingdom recommend training Clinical Nurse Specialists in psychological skills to improve the assessment and intervention with psychological problems experienced by people with a cancer diagnosis (National Institute for Health and Clinical Excellence, 2004). This pilot study evaluated a three-day training program combined with supervision sessions from Clinical Psychologists that focused on developing skills in psychological assessment and intervention for common problems experienced by people with cancer. Questionnaires were developed to measure participants' levels of confidence in 15 competencies of psychological skills. Participants completed these prior to the program and on completion of the program. Summative evaluation was undertaken and results were compared. In addition, a focus group interview provided qualitative data of participants' experiences of the structure, process, and outcomes of the program. Following the program, participants rated their confidence in psychological assessment and skills associated with providing psychological support as having increased in all areas. This included improved knowledge of psychological theories, skills in assessment and intervention and accessing and using supervision appropriately. The largest increase was in providing psycho-education to support the coping strategies of patients and carers. Thematic analysis of interview data identified two main themes including learning experiences and program enhancements. The significance of the clinical supervision sessions as key learning opportunities, achieved through the development of a community of practice, emerged. Although this pilot study has limitations, the results suggest that a combined teaching and supervision program is effective in improving Clinical Nurse Specialists' confidence level in specific psychological skills. Participants' experiences highlighted suggestions for refinement and development of the program. Opportunities for further research and developments in this area are discussed.
NASA Technical Reports Server (NTRS)
Cole, M. M.; Wen-Jones, S. (Principal Investigator)
1976-01-01
The author has identified the following significant results. Series of linears were identified on the March imagery of Lady Annie-Mt. Gordon fault zone area. The series with a WSW-ENE orientation which is normal to the major structural units and also several linears with NNW-SSE orientation appears to be particularly important. Copper mineralization is known at several localities where these linears are intersected by faults. Automated outputs using supervised methods involving the selection of training sets selected by visual recognition of spectral signatures on the color composites obtained from combinations of MSS bands 4, 5 and 7 projected through appropriate filters, were generated.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Pullum, Laura L; Symons, Christopher T
2011-01-01
Machine learning is used in many applications, from machine vision to speech recognition to decision support systems, and is used to test applications. However, though much has been done to evaluate the performance of machine learning algorithms, little has been done to verify the algorithms or examine their failure modes. Moreover, complex learning frameworks often require stepping beyond black box evaluation to distinguish between errors based on natural limits on learning and errors that arise from mistakes in implementation. We present a conceptual architecture, failure model and taxonomy, and failure modes and effects analysis (FMEA) of a semi-supervised, multi-modal learningmore » system, and provide specific examples from its use in a radiological analysis assistant system. The goal of the research described in this paper is to provide a foundation from which dependability analysis of systems using semi-supervised, multi-modal learning can be conducted. The methods presented provide a first step towards that overall goal.« less
Brown, Lawrence J; Miller, Martin
2002-08-01
The use of the psychoanalyst's subjective reactions as a tool to better understand his/her patient has been a central feature of clinical thinking in recent decades. While there has been much discussion and debate about the analyst's use of countertransference in individual psychoanalysis, including possible disclosure of his/her feelings to the patient, the literature on supervision has been slower to consider such matters. The attention to parallel processes in supervision has been helpful in appreciating the impact of affects arising in either the analyst/patient or the supervisor/analyst dyads upon the analytic treatment and its supervision. This contribution addresses the ways in which overlapping aspects of the personalities of the supervisor, analyst and patient may intersect and create resistances in the treatment. That three-way intersection, described here as the triadic intersubjective matrix, is considered inevitable in all supervised treatments. A clinical example from the termination phase of a supervised analysis of an adolescent is offered to illustrate these points. Finally, the question of self-disclosure as an aspect of the supervisory alliance is also discussed.
Physical isolation with virtual support: Registrars' learning via remote supervision.
Wearne, Susan M; Teunissen, Pim W; Dornan, Tim; Skinner, Timothy
2014-08-26
Abstract Purpose: Changing the current geographical maldistribution of the medical workforce is important for global health. Research regarding programs that train doctors for work with disadvantaged, rural populations is needed. This paper explores one approach of remote supervision of registrars in isolated rural practice. Researching how learning occurs without on-site supervision may also reveal other key elements of postgraduate education. Methods: Thematic analysis of in-depth interviews exploring 11 respondents' experiences of learning via remote supervision. Results: Remote supervision created distinctive learning environments. Respondents' attributes interacted with external supports to influence whether and how their learning was promoted or impeded. Registrars with clinical and/or life experience, who were insightful and motivated to direct their learning, turned the challenges of isolated practice into opportunities that accelerated their professional development. Discussion: Remote supervision was not necessarily problematic but instead provided rich learning for doctors training in and for the context where they were needed. Registrars learnt through clinical responsibility for defined populations and longitudinal, supportive supervisory relationships. Responsibility and continuity may be as important as supervisory proximity for experienced registrars.
Gönen, Mehmet
2014-01-01
Coupled training of dimensionality reduction and classification is proposed previously to improve the prediction performance for single-label problems. Following this line of research, in this paper, we first introduce a novel Bayesian method that combines linear dimensionality reduction with linear binary classification for supervised multilabel learning and present a deterministic variational approximation algorithm to learn the proposed probabilistic model. We then extend the proposed method to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to handle semi-supervised learning using a low-density assumption. We perform supervised learning experiments on four benchmark multilabel learning data sets by comparing our method with baseline linear dimensionality reduction algorithms. These experiments show that the proposed approach achieves good performance values in terms of hamming loss, average AUC, macro F1, and micro F1 on held-out test data. The low-dimensional embeddings obtained by our method are also very useful for exploratory data analysis. We also show the effectiveness of our approach in finding intrinsic subspace dimensionality and semi-supervised learning tasks. PMID:24532862
Gönen, Mehmet
2014-03-01
Coupled training of dimensionality reduction and classification is proposed previously to improve the prediction performance for single-label problems. Following this line of research, in this paper, we first introduce a novel Bayesian method that combines linear dimensionality reduction with linear binary classification for supervised multilabel learning and present a deterministic variational approximation algorithm to learn the proposed probabilistic model. We then extend the proposed method to find intrinsic dimensionality of the projected subspace using automatic relevance determination and to handle semi-supervised learning using a low-density assumption. We perform supervised learning experiments on four benchmark multilabel learning data sets by comparing our method with baseline linear dimensionality reduction algorithms. These experiments show that the proposed approach achieves good performance values in terms of hamming loss, average AUC, macro F 1 , and micro F 1 on held-out test data. The low-dimensional embeddings obtained by our method are also very useful for exploratory data analysis. We also show the effectiveness of our approach in finding intrinsic subspace dimensionality and semi-supervised learning tasks.
Knudsen, Hannah K.; Ducharme, Lori J.; Roman, Paul M
2008-01-01
An intriguing hypothesis is that clinical supervision may protect against counselor turnover. This idea has been mentioned in recent discussions of the substance abuse treatment workforce. To test this hypothesis, we extend our previous research on emotional exhaustion and turnover intention among counselors by estimating the associations between clinical supervision and these variables in a large sample (n = 823). An exploratory analysis reveals that clinical supervision was negatively associated with emotional exhaustion and turnover intention. Given our previous findings that emotional exhaustion and turnover intention were associated with job autonomy, procedural justice, and distributive justice, we estimate a structural equation model to examine whether these variables mediated clinical supervision’s associations with emotional exhaustion and turnover intention. These data support the fully mediated model. We found the perceived quality of clinical supervision is strongly associated with counselors’ perceptions of job autonomy, procedural justice, and distributive justice, which are, in turn, associated with emotional exhaustion and turnover intention. These data offer support for the protective role of clinical supervision in substance abuse treatment counselors’ turnover and occupational wellbeing. PMID:18424048
An Analysis of Peer Feedback Exchanged in Group Supervision
ERIC Educational Resources Information Center
Wahesh, Edward; Kemer, Gulsah; Willis, Ben T.; Schmidt, Christopher D.
2017-01-01
The authors examined the peer feedback exchanged in 2 supervision groups of counselors-in-training (CITs). CITs generated 169 statements grouped into 10 clusters representing 5 regions of peer feedback: counselor focus and engagement, insight-oriented skills, exploratory skills, therapeutic alliance, and intervention activities. Both positive and…
ERIC Educational Resources Information Center
Brandon, Jim; Hollweck, Trista; Donlevy, James Kent; Whalen, Catherine
2018-01-01
This inquiry focuses on the "overall instructional leadership" approaches used by exemplary principals in three high performing Canadian provinces to overcome three persistent obstacles to effective teacher supervision and evaluation: (a) the management challenge, (b) the complexity challenge, and (c) the learning challenge. Analysis of…
Most and Least Helpful Events in Three Supervision Modalities
ERIC Educational Resources Information Center
Fickling, Melissa J.; Borders, L. DiAnne; Mobley, Keith A.; Wester, Kelly
2017-01-01
The authors conducted a content analysis of supervisors' (n = 10) and supervisees' (n = 31) descriptions (n = 707) of most and least helpful significant events in individual, group, and triadic supervision across 1 semester. Categories by group for each modality and areas of agreement and disagreement are highlighted.
Pervasive Sound Sensing: A Weakly Supervised Training Approach.
Kelly, Daniel; Caulfield, Brian
2016-01-01
Modern smartphones present an ideal device for pervasive sensing of human behavior. Microphones have the potential to reveal key information about a person's behavior. However, they have been utilized to a significantly lesser extent than other smartphone sensors in the context of human behavior sensing. We postulate that, in order for microphones to be useful in behavior sensing applications, the analysis techniques must be flexible and allow easy modification of the types of sounds to be sensed. A simplification of the training data collection process could allow a more flexible sound classification framework. We hypothesize that detailed training, a prerequisite for the majority of sound sensing techniques, is not necessary and that a significantly less detailed and time consuming data collection process can be carried out, allowing even a nonexpert to conduct the collection, labeling, and training process. To test this hypothesis, we implement a diverse density-based multiple instance learning framework, to identify a target sound, and a bag trimming algorithm, which, using the target sound, automatically segments weakly labeled sound clips to construct an accurate training set. Experiments reveal that our hypothesis is a valid one and results show that classifiers, trained using the automatically segmented training sets, were able to accurately classify unseen sound samples with accuracies comparable to supervised classifiers, achieving an average F -measure of 0.969 and 0.87 for two weakly supervised datasets.
Heaven, Cathy; Clegg, Jenny; Maguire, Peter
2006-03-01
Recent studies have recognised that the communication skills learned in the training environment are not always transferred back into the clinical setting. This paper reports a study which investigated the potential of clinical supervision in enhancing the transfer process. A randomised controlled trial was conducted involving 61 clinical nurse specialists. All attended a 3-day communication skills training workshop. Twenty-nine were then randomised to 4 weeks of clinical supervision, aimed at facilitating transfer of newly acquired skills into practice. Assessments, using real and simulated patients, were carried out before the course, immediately after the supervision period and 3 months later. Interviews were rated objectively using the Medical Interview Aural Rating Scale (MIARS) to assess nurses' ability to use key skills, respond to patient cues and identify patient concerns. Assessments with simulated patients showed that the training programme was extremely effective in changing competence in all three key areas. However, only those who experienced supervision showed any evidence of transfer. Improvements were found in the supervised groups' use of open questions, negotiation and psychological exploration. Whilst neither group facilitated more disclosure of cues or concerns, those in the experimental group responded more effectively to the cues disclosed, reduced their distancing behaviour and increasing their exploration of cues. The study has shown that whilst training enhances skills, without intervention, it may have little effect on clinical practice. The potential role of clinical supervision as one way of enhancing the clinical effectiveness of communication skills training programmes has been demonstrated. PRACTISE IMPLICATIONS: This study raises questions about the effectiveness of training programmes which do not incorporate a transfer element, and provides evidence to support the need for clinical supervision for clinical nurse specialist.
Agoro, Oscar Otieno; Osuga, Ben Onyango; Adoyo, Maureen
2015-01-01
Effective supportive supervision is widely recognized as essential for optimal management of medicines in government health facilities and also in contributing towards improved access and utilization of health services. This study sought to examine the extent supportive supervision for medicines management in government health facilities from a health worker perspective. A cross-sectional study was done targeting health workers managing medicines in government health facilities in Kiambu County. One hundred and thirty eight respondents took part in the study which explored the quality of supportive supervision from a health worker's perspective, and also examined the factors influencing their contentment with the level of supervision received. A statistical analysis was done using SPSS 21 and Excel 2013. Supervisory visits from all levels of health management were not regularly done, standard checklists were not routinely used, and action plans irregularly developed and followed up. Only 54 (38.6%) respondents were satisfied with the levels of supportive supervision that they received, with satisfaction significantly differing across the professional cadres, χ (2) (12, n = 138) = 29.762, p = .003; across the different tiers of health facilities, r s (138) = 0.341, p < .001; and with the education levels of the respondents, r s (138) = 0.381, p < .001. The study concluded that supportive supervision for medicines management that government health facilities received was still inadequate, and health workers were dissatisfied with the level of supervision that they received. The study recommends a review of the support supervision policy at the county level to address the unearthed inefficiencies and improve supervision for medicines management in government health facilities.
Mwangome, Francis K; Holding, Penny A; Songola, Kennedy M; Bomu, Grace K
2012-01-01
A minority of births in sub-Saharan African regions are conducted with the supervision of skilled birth attendants. With among the highest world-wide maternal mortality ratios and the majority of the deaths being associated with a lack of trained supervision at delivery, changing delivery practices is a major priority in this world region. This study identified attitudes to and beliefs about the uptake of hospital services for birthing. Data were gathered using a combination of individual interviews and group discussions. Twelve discussion groups were held with participants who included hospital staff and general community members (36 males and 54 females). In addition, individual interviews were carried out with 26 mothers who chose not to deliver their babies in hospital. Qualitative analysis identified a number of barriers to seeking skilled attendants at birth including: lack of resources (monetary, transport and access), customer care (lack of partnership between mother and health professional), and knowledge and beliefs (lack of knowledge about pregnancy and maternal health). The community must be better informed about the costs and benefits of hospital deliveries, while medical services must be more sensitive to community needs and preferences. These findings prompted the initiation of consultation groups on health and maternal issues between health service providers and community organisations.
The Efficacy of Exercise in Reducing Depressive Symptoms among Cancer Survivors: A Meta-Analysis
Brown, Justin C.; Huedo-Medina, Tania B.; Pescatello, Linda S.; Ryan, Stacey M.; Pescatello, Shannon M.; Moker, Emily; LaCroix, Jessica M.; Ferrer, Rebecca A.; Johnson, Blair T.
2012-01-01
Introduction The purpose of this meta-analysis was to examine the efficacy of exercise to reduce depressive symptoms among cancer survivors. In addition, we examined the extent to which exercise dose and clinical characteristics of cancer survivors influence the relationship between exercise and reductions in depressive symptoms. Methods We conducted a systematic search identifying randomized controlled trials of exercise interventions among adult cancer survivors, examining depressive symptoms as an outcome. We calculated effect sizes for each study and performed weighted multiple regression moderator analysis. Results We identified 40 exercise interventions including 2,929 cancer survivors. Diverse groups of cancer survivors were examined in seven exercise interventions; breast cancer survivors were examined in 26; prostate cancer, leukemia, and lymphoma were examined in two; and colorectal cancer in one. Cancer survivors who completed an exercise intervention reduced depression more than controls, d + = −0.13 (95% CI: −0.26, −0.01). Increases in weekly volume of aerobic exercise reduced depressive symptoms in dose-response fashion (β = −0.24, p = 0.03), a pattern evident only in higher quality trials. Exercise reduced depressive symptoms most when exercise sessions were supervised (β = −0.26, p = 0.01) and when cancer survivors were between 47–62 yr (β = 0.27, p = 0.01). Conclusion Exercise training provides a small overall reduction in depressive symptoms among cancer survivors but one that increased in dose-response fashion with weekly volume of aerobic exercise in high quality trials. Depressive symptoms were reduced to the greatest degree among breast cancer survivors, among cancer survivors aged between 47–62 yr, or when exercise sessions were supervised. PMID:22303474
Stubbs, Brendon; Rosenbaum, Simon; Vancampfort, Davy; Malchow, Berend; Schuch, Felipe; Elliott, Rebecca; Nuechterlein, Keith H.; Yung, Alison R.
2017-01-01
Abstract Cognitive deficits are pervasive among people with schizophrenia and treatment options are limited. There has been an increased interest in the neurocognitive benefits of exercise, but a comprehensive evaluation of studies to date is lacking. We therefore conducted a meta-analysis of all controlled trials investigating the cognitive outcomes of exercise interventions in schizophrenia. Studies were identified from a systematic search across major electronic databases from inception to April 2016. Meta-analyses were used to calculate pooled effect sizes (Hedges g) and 95% CIs. We identified 10 eligible trials with cognitive outcome data for 385 patients with schizophrenia. Exercise significantly improved global cognition (g = 0.33, 95% CI = 0.13–0.53, P = .001) with no statistical heterogeneity (I2 = 0%). The effect size in the 7 studies which were randomized controlled trials was g = 0.43 (P < .001). Meta-regression analyses indicated that greater amounts of exercise are associated with larger improvements in global cognition (β = .005, P = .065). Interventions which were supervised by physical activity professionals were also more effective (g = 0.47, P < .001). Exercise significantly improved the cognitive domains of working memory (g = 0.39, P = .024, N = 7, n = 282), social cognition (g = 0.71, P = .002, N = 3, n = 81), and attention/vigilance (g = 0.66, P = .005, N = 3, n = 104). Effects on processing speed, verbal memory, visual memory and reasoning and problem solving were not significant. This meta-analysis provides evidence that exercise can improve cognitive functioning among people with schizophrenia, particularly from interventions using higher dosages of exercise. Given the challenges in improving cognition, and the wider health benefits of exercise, a greater focus on providing supervised exercise to people with schizophrenia is needed. PMID:27521348
Mabey, David C.; Chaudhri, Simran; Brown Epstein, Helen-Ann; Lawn, Stephen D.
2017-01-01
Abstract Primary health care workers (HCWs) in low- and middle-income settings (LMIC) often work in challenging conditions in remote, rural areas, in isolation from the rest of the health system and particularly specialist care. Much attention has been given to implementation of interventions to support quality and performance improvement for workers in such settings. However, little is known about the design of such initiatives and which approaches predominate, let alone those that are most effective. We aimed for a broad understanding of what distinguishes different approaches to primary HCW support and performance improvement and to clarify the existing evidence as well as gaps in evidence in order to inform decision-making and design of programs intended to support and improve the performance of health workers in these settings. We systematically searched the literature for articles addressing this topic, and undertook a comparative review to document the principal approaches to performance and quality improvement for primary HCWs in LMIC settings. We identified 40 eligible papers reporting on interventions that we categorized into five different approaches: (1) supervision and supportive supervision; (2) mentoring; (3) tools and aids; (4) quality improvement methods, and (5) coaching. The variety of study designs and quality/performance indicators precluded a formal quantitative data synthesis. The most extensive literature was on supervision, but there was little clarity on what defines the most effective approach to the supervision activities themselves, let alone the design and implementation of supervision programs. The mentoring literature was limited, and largely focused on clinical skills building and educational strategies. Further research on how best to incorporate mentorship into pre-service clinical training, while maintaining its function within the routine health system, is needed. There is insufficient evidence to draw conclusions about coaching in this setting, however a review of the corporate and the business school literature is warranted to identify transferrable approaches. A substantial literature exists on tools, but significant variation in approaches makes comparison challenging. We found examples of effective individual projects and designs in specific settings, but there was a lack of comparative research on tools across approaches or across settings, and no systematic analysis within specific approaches to provide evidence with clear generalizability. Future research should prioritize comparative intervention trials to establish clear global standards for performance and quality improvement initiatives. Such standards will be critical to creating and sustaining a well-functioning health workforce and for global initiatives such as universal health coverage. PMID:27993961
Roberton, Timothy; Applegate, Jennifer; Lefevre, Amnesty E; Mosha, Idda; Cooper, Chelsea M; Silverman, Marissa; Feldhaus, Isabelle; Chebet, Joy J; Mpembeni, Rose; Semu, Helen; Killewo, Japhet; Winch, Peter; Baqui, Abdullah H; George, Asha S
2015-04-09
Supervision is meant to improve the performance and motivation of community health workers (CHWs). However, most evidence on supervision relates to facility health workers. The Integrated Maternal, Newborn, and Child Health (MNCH) Program in Morogoro region, Tanzania, implemented a CHW pilot with a cascade supervision model where facility health workers were trained in supportive supervision for volunteer CHWs, supported by regional and district staff, and with village leaders to further support CHWs. We examine the initial experiences of CHWs, their supervisors, and village leaders to understand the strengths and challenges of such a supervision model for CHWs. Quantitative and qualitative data were collected concurrently from CHWs, supervisors, and village leaders. A survey was administered to 228 (96%) of the CHWs in the Integrated MNCH Program and semi-structured interviews were conducted with 15 CHWs, 8 supervisors, and 15 village leaders purposefully sampled to represent different actor perspectives from health centre catchment villages in Morogoro region. Descriptive statistics analysed the frequency and content of CHW supervision, while thematic content analysis explored CHW, supervisor, and village leader experiences with CHW supervision. CHWs meet with their facility-based supervisors an average of 1.2 times per month. CHWs value supervision and appreciate the sense of legitimacy that arises when supervisors visit them in their village. Village leaders and district staff are engaged and committed to supporting CHWs. Despite these successes, facility-based supervisors visit CHWs in their village an average of only once every 2.8 months, CHWs and supervisors still see supervision primarily as an opportunity to check reports, and meetings with district staff are infrequent and not well scheduled. Supervision of CHWs could be strengthened by streamlining supervision protocols to focus less on report checking and more on problem solving and skills development. Facility health workers, while important for technical oversight, may not be the best mentors for certain tasks such as community relationship-building. We suggest further exploring CHW supervision innovations, such as an enhanced role for community actors, who may be more suitable to support CHWs engaged primarily in health promotion than scarce and over-worked facility health workers.
Törnquist, Anna; Rakovshik, Sarah; Carlsson, Jan; Norberg, Joakim
2018-05-01
There is limited research into the effect of supervision in cognitive behavioural therapy (CBT) from the supervisees' perspective. The aim of the study was to acquire knowledge from the supervisees' perspective as to what in particular in the supervision process contributes to the therapy process. Fourteen supervisees on a foundation course participated in the study. A qualitative approach was used with thematic analysis of the participants' written diaries after supervision and therapy sessions. Analyses of supervisees' experiences suggested that a variety of therapeutic interventions were easier to implement if one had the supervisor's support and felt free to decide if and when the suggested interventions could best be implemented. Evaluation in the form of positive feedback from the supervisor indicating that the supervisee was 'doing the right thing' was perceived to be important. A unifying theme when supervisees felt they were not getting anything out of the supervision was that the supervisees did not have a supervision question. The results of this research suggest that the supervisor's support during training is perceived to be important for the supervisee. Receiving positive feedback from one's supervisor in an evaluation is perceived to have a great impact on whether the therapist implements the suggested therapeutic interventions discussed in the previous supervision.
Bryan, Kenneth; Cunningham, Pádraig
2008-01-01
Background Microarrays have the capacity to measure the expressions of thousands of genes in parallel over many experimental samples. The unsupervised classification technique of bicluster analysis has been employed previously to uncover gene expression correlations over subsets of samples with the aim of providing a more accurate model of the natural gene functional classes. This approach also has the potential to aid functional annotation of unclassified open reading frames (ORFs). Until now this aspect of biclustering has been under-explored. In this work we illustrate how bicluster analysis may be extended into a 'semi-supervised' ORF annotation approach referred to as BALBOA. Results The efficacy of the BALBOA ORF classification technique is first assessed via cross validation and compared to a multi-class k-Nearest Neighbour (kNN) benchmark across three independent gene expression datasets. BALBOA is then used to assign putative functional annotations to unclassified yeast ORFs. These predictions are evaluated using existing experimental and protein sequence information. Lastly, we employ a related semi-supervised method to predict the presence of novel functional modules within yeast. Conclusion In this paper we demonstrate how unsupervised classification methods, such as bicluster analysis, may be extended using of available annotations to form semi-supervised approaches within the gene expression analysis domain. We show that such methods have the potential to improve upon supervised approaches and shed new light on the functions of unclassified ORFs and their co-regulation. PMID:18831786
Nursing home resident smoking policies.
Stefanacci, Richard G; Lester, Paula E; Kohen, Izchak
2008-01-01
To identify nursing home standards related to resident smoking through a nation wide survey of directors of nursing. A national survey was distributed online and was completed by 248 directors of nursing. The directors of nurses answered questions concerning resident smoking including the criteria utilized to determine an unsafe resident smoker. For those residents identified as unsafe, the questions asked were specifically related to monitoring, staff involvement, safety precautions and policy. The results of the survey demonstrated a consistent policy practiced among facilities across the United States. The monitoring of nursing home residents is based on a resident's mental acuity, physical restrictions and equipment requirements. Once a resident was identified as a smoker at risk of harm to self or others, staff involvement ranged from distributing cigarettes to direct supervision. In addition, the majority of facilities required residents to wear fire resistant aprons and provided a fire extinguisher in smoking areas. Monitoring policies of nursing home residents who smoke starts with identifying those residents at risk based on an assessment of mental acuity, physical restrictions and equipment requirements. Those that are identified as being at risk smokers have their cigarettes controlled and distributed by nursing staff and are supervised by facility staff when smoking. This policy is implemented through written policy as well as staff education. Despite some discrepancies in the actual implementation of policies to supervise residents who smoke, the policies for assessment for at-risk smokers requiring monitoring is consistent on a national basis.
Is fasting safe? A chart review of adverse events during medically supervised, water-only fasting.
Finnell, John S; Saul, Bradley C; Goldhamer, Alan C; Myers, Toshia R
2018-02-20
Evidence suggests that fasting, during which only water is consumed, results in potentially health promoting physiological effects. However, peer-reviewed research assessing the safety of water-only fasting is lacking. To address this, we conducted a chart review to describe adverse events (AEs) that occurred during medically supervised, water-only fasting. Electronic charts from patient visits to a residential medical facility from 2006 to 2011 were reviewed. Patients who were at least 21 years of age and water-only fasted for ≥2 consecutive days with a refeeding period equal to half of the fast length were included. Out of 2539 charts, 768 visits met our inclusion and exclusion criteria. AEs were abstracted from chart notes and classified according to CTCAE (v4.03) and MedDRA (v12.1) terminology. Descriptive analysis of AEs is reported. During the protocol period, the highest grade AE (HGAE) in 555 visits was a grade 2 event or lower, in 212 visits it was a grade 3 event, in 1 visit it was a grade 4 event, and there were no grade 5 events. There were 2 (0.002%) visits with a serious adverse event (SAE). The majority of AEs identified were mild (n = 4490, 75%) in nature and known reactions to fasting. To our knowledge, this is the most comprehensive analysis of AEs experienced during medically supervised, water-only fasting conducted to date. Overall, our data indicate that the majority of AEs experienced were mild to moderate and known reactions to fasting. This suggests that the protocol used in this study can be safely implemented in a medical setting with minimal risk of a SAE.
Hanna, Elizabeth; Cott, Cheryl
2011-01-01
ABSTRACT Purpose: To identify the perceived benefits of and barriers to clinical supervision of physical therapy (PT) students. Method: In this qualitative descriptive study, three focus groups and six key-informant interviews were conducted with clinical physical therapists or administrators working in acute care, orthopaedic rehabilitation, or complex continuing care. Data were coded and analyzed for common ideas using a constant comparison approach. Results: Perceived barriers to supervising students tended to be extrinsic: time and space constraints, challenging or difficult students, and decreased autonomy or flexibility for the clinical physical therapists. Benefits tended to be intrinsic: teaching provided personal gratification by promoting reflective practice and exposing clinical educators to current knowledge. The culture of different health care institutions was an important factor in therapists' perceptions of student supervision. Conclusions: Despite different disciplines and models of supervision, there is considerable synchronicity in the issues reported by physical therapists and other disciplines. Embedding the value of clinical teaching in the institution, along with strong communication links among academic partners, institutions, and potential clinical faculty, may mitigate barriers and increase the commitment and satisfaction of teaching staff. PMID:22379263
The supervisory alliance: a half century of theory, practice, and research in critical perspective.
Watkins, C Edward
2014-01-01
Over the course of psychotherapy supervision history, the supervisor-supervisee alliance has increasingly emerged as a variable of preeminent importance in the conceptualization and conduct of the supervision experience: It has come to be embraced as the very heart and soul of supervision. But after a half century, what evidence do we actually have to justify that highly favorable outlook afforded to the alliance? What do we really know about the supervisory alliance? What do we need to know about it? As we mark the first 50 years of supervisory alliance and look toward its future, I thought it might be useful to examine those questions and provide a current status report about the construct itself In what follows, I (a) describe the two supervisory alliance visions that have been (and remain) dominant in the supervision literature and (b) provide a review of 20 plus years of supervision alliance research. While the supervisory alliance has accumulated solid clinical support, its empirical support appears to be more tentative and less robust. I consider why that is so, identify some missing elements in the alliance research conducted thus far and propose possible remedies to move inquiry in this area forward.
Block versus longitudinal integrated clerkships: students' views of rural clinical supervision.
Witney, Martin; Isaac, Vivian; Playford, Denese; Walker, Leesa; Garne, David; Walters, Lucie
2018-07-01
Medical students undertaking longitudinal integrated clerkships (LICs) train in multiple disciplines concurrently, compared with students in block rotations who typically address one medical discipline at a time. Current research suggests that LICs afford students increased access to patients and continuity of clinical supervision. However, these factors are less of an issue in rural placements where there are fewer learners. The aim of this study was to compare rural LIC and rural block rotation students' reported experiences of clinical supervision. De-identified data from the 2015 version of the Australian national rural clinical schools (RCSs) exit survey was used to compare students in LICs with those in block rotations in relation to how they evaluate their clinical supervisors and how they rate their own clinical competence. Multivariate general linear modelling showed no association between placement type (LIC versus Block) and reported clinical supervision. The single independent predictor of positive perception of clinical supervisors was choosing an RCS as a first preference. There was also no association between placement type (LIC versus Block) and self-rated clinical competence. Instead, the clinical supervision score and male gender predicted more positive self-ratings of clinical competence. The quality of clinical supervision in block placements and LIC programmes in rural Australian settings was reported by students as equivalent. © 2018 John Wiley & Sons Ltd and The Association for the Study of Medical Education.
Xi, Huijun; Cao, Jie; Liu, Jingjing; Li, Zhaoshen; Kong, Xiangyu; Wang, Yonghua; Chen, Jing; Ma, Su; Zhang, Lingjuan
2016-08-01
The purpose of this study was to investigate the importance of supervision through video surveillance in improving the quality of personal protection in preparing health care workers working in Ebola treatment units. Wardens supervise, remind, and guide health care workers' behavior through onsite voice and video systems when they are in the suspected patient observation ward and in the patient diagnosed ward of the Ebola treatment center. The observation results were recorded, and timely feedback was given to the health care workers. After 2 months of supervision, 1,797 cases of incorrect personal protection behaviors were identified and corrected. The error rate continuously declined. The declined rate of the first 2 weeks was statistically different from other time periods. Through reminding and supervising, nonstandard personal protective behaviors can be discovered and corrected, which can help health care workers standardize personal protection. The timely feedback from video surveillance can also offer psychologic support and encouragement promptly to ease psychologic pressure. Finally, this can ensure health care workers stay at a zero infection rate during patient treatment. Personal protective equipment protocol supervised by wardens through a video monitoring process can be used as an effective complement to conventional mutual supervision methods and can help health care workers avoid Ebola infection during treatment. Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision
Wallace, Byron C.; Kuiper, Joël; Sharma, Aakash; Zhu, Mingxi (Brian); Marshall, Iain J.
2016-01-01
Systematic reviews underpin Evidence Based Medicine (EBM) by addressing precise clinical questions via comprehensive synthesis of all relevant published evidence. Authors of systematic reviews typically define a Population/Problem, Intervention, Comparator, and Outcome (a PICO criteria) of interest, and then retrieve, appraise and synthesize results from all reports of clinical trials that meet these criteria. Identifying PICO elements in the full-texts of trial reports is thus a critical yet time-consuming step in the systematic review process. We seek to expedite evidence synthesis by developing machine learning models to automatically extract sentences from articles relevant to PICO elements. Collecting a large corpus of training data for this task would be prohibitively expensive. Therefore, we derive distant supervision (DS) with which to train models using previously conducted reviews. DS entails heuristically deriving ‘soft’ labels from an available structured resource. However, we have access only to unstructured, free-text summaries of PICO elements for corresponding articles; we must derive from these the desired sentence-level annotations. To this end, we propose a novel method – supervised distant supervision (SDS) – that uses a small amount of direct supervision to better exploit a large corpus of distantly labeled instances by learning to pseudo-annotate articles using the available DS. We show that this approach tends to outperform existing methods with respect to automated PICO extraction. PMID:27746703
Mboya, Dominick; Mshana, Christopher; Kessy, Flora; Alba, Sandra; Lengeler, Christian; Renggli, Sabine; Vander Plaetse, Bart; Mohamed, Mohamed A; Schulze, Alexander
2016-10-13
Assessing quality of health services, for example through supportive supervision, is essential for strengthening healthcare delivery. Most systematic health facility assessment mechanisms, however, are not suitable for routine supervision. The objective of this study is to describe a quality assessment methodology using an electronic format that can be embedded in supervision activities and conducted by council health staff. An electronic Tool to Improve Quality of Healthcare (e-TIQH) was developed to assess the quality of primary healthcare provision. The e-TIQH contains six sub-tools, each covering one quality dimension: infrastructure and equipment of the facility, its management and administration, job expectations, clinical skills of the staff, staff motivation and client satisfaction. As part of supportive supervision, council health staff conduct quality assessments in all primary healthcare facilities in a given council, including observation of clinical consultations and exit interviews with clients. Using a hand-held device, assessors enter data and view results in real time through automated data analysis, permitting immediate feedback to health workers. Based on the results, quality gaps and potential measures to address them are jointly discussed and actions plans developed. For illustrative purposes, preliminary findings from e-TIQH application are presented from eight councils of Tanzania for the period 2011-2013, with a quality score <75 % classed as 'unsatisfactory'. Staff motivation (<50 % in all councils) and job expectations (≤50 %) scored lowest of all quality dimensions at baseline. Clinical practice was unsatisfactory in six councils, with more mixed results for availability of infrastructure and equipment, and for administration and management. In contrast, client satisfaction scored surprisingly high. Over time, each council showed a significant overall increase of 3-7 % in mean score, with the most pronounced improvements in staff motivation and job expectations. Given its comprehensiveness, convenient handling and automated statistical reports, e-TIQH enables council health staff to conduct systematic quality assessments. Therefore e-TIQH may not only contribute to objectively identifying quality gaps, but also to more evidence-based supervision. E-TIQH also provides important information for resource planning. Institutional and financial challenges for implementing e-TIQH on a broader scale need to be addressed.
ERIC Educational Resources Information Center
Hein, Serge F.; Lawson, Gerard; Rodriguez, Christopher P.
2011-01-01
A qualitative study was conducted to explore supervisors' experiences of supervisee incompatibility in triadic supervision. In-depth interviews were completed with 9 doctoral student supervisors in a counselor education program, and a whole-text analysis generated 3 categories. Supervisee incompatibility took a wide variety of forms and negatively…
Successful Supervision from the Student-Teachers' Perspective: An Analysis of Supervisory Talk
ERIC Educational Resources Information Center
Gulden, Ilin; Julide, Inozu; Rana, Yildirim
2007-01-01
This study aims at analyzing supervisory talk and student- teachers' interpretations of it in order to find out the qualities that characterize successful supervision which leads to a change in student- teachers' beliefs. To achieve this, supervisory feedback sessions with four supervisors were recorded, transcribed and then analyzed for…
REFLECTION IN HOME VISITING: THE WHAT, WHY, AND A BEGINNING STEP TOWARD HOW.
Tomlin, Angela M; Hines, Elesia; Sturm, Lynne
2016-11-01
The work of home visitors in early childhood fields may include addressing many challenges to achieving curricular outcomes, including issues such as maintaining boundaries and managing one's own reactions to children, parents, and overall family situations. Increasingly, reflective supervision and consultation are recognized as a way for workers in home-visiting early intervention and early care fields to address these personal and professional challenges and build competence (Watson, Gatti, Cox, Harrison, & Hennes, ). The features of home visiting that make reflective supervision/consultation essential are discussed. Next, results of a pilot project in which a sample of Part C early intervention providers respond to a vignette portraying a challenging parent-child interaction are briefly presented and discussed. Despite often stating the importance of relationships, participants did not identify concrete methods of supporting relationship or demonstrate recognition of parallel process. In addition, providers seldom endorsed the use of reflective skills such as observing, listening, wondering, or reflecting (Weatherston, ), and no providers discussed a need for reflective supervision/consultation. We suggest that these findings illustrate some of the areas in which early intervention home visitors could benefit from participation in reflective supervision/consultation to move from identifying reflective skills as important to actually being able to use such skills in their work with families. © 2016 Michigan Association for Infant Mental Health.
Race in Supervision: Let's Talk About It.
Schen, Cathy R; Greenlee, Alecia
2018-01-01
Addressing race and racial trauma within psychotherapy supervision is increasingly important in psychiatry training. A therapist's ability to discuss race and racial trauma in psychotherapy supervision increases the likelihood that these topics will be explored as they arise in the therapeutic setting. The authors discuss the contextual and sociocultural dynamics that contributed to their own avoidance of race and racial trauma within the supervisory relationship. The authors examine the features that eventually led to a robust discussion of race and culture within the supervisory setting and identify salient themes that occurred during three phases of the conversation about race: pre-dialogue, the conversation, and after the conversation. These themes include building an alliance, supercompetence, avoidance, shared vulnerability, "if I speak on this, I own it," closeness versus distance, and speaking up. This article reviews the key literature in the field of psychiatry and psychology that has shaped how we understand race and racial trauma and concludes with guidelines for supervisors on how to facilitate talking about race in supervision.
Uys, L R; Minnaar, A; Reid, S; Naidoo, J R
2004-05-01
Supervision has been identified as a major issue in quality of care. Although increasing attention is being given to supervision in the District Health System, there have been no studies describing the current situation. This article describes a survey done in two health districts in KwaZulu-Natal involving 319 nurses from all types of government health care settings. This was a quantitative descriptive study that described the current supervision, job satisfaction and self-esteem in two (2) health districts, that is the Ugu and the uThukela health districts. The three variables were described using a mailed questionnaire. A total 319 nurses participated in this study. The majority of the nurses (53%) felt that positive supervision behaviours listed in a rating scale, occurred never or seldom. The average self-esteem score was very positive (83%), and the average job satisfaction score was 60%. Nurses were most satisfied with the factor reflecting "personal satisfaction about their contribution to the work" (72%) and the least satisfaction with the factor that has to do with "pay and prospects" (50%). While there was no relationship between any of the demographic variables and supervision, there was a low but significant relationship between supervision and job-satisfaction. A significant relationship was also found between the personal satisfaction factor of job satisfaction and self-esteem. As nurses form the backbone of the health services, it is incumbent that health service managers safeguard the nursing workforce. Targeted strategies are necessary to ensure retention of the nurses for the health care of the South African population.
Andersen, Morten Jon; Gromov, Kiril; Brix, Michael; Troelsen, Anders
2014-06-01
The importance of supervision and of surgeons' level of experience in relation to patient outcome have been demonstrated in both hip fracture and arthroplasty surgery. The aim of this study was to describe the surgeons' experience level and the extent of supervision for: 1) fracture-related surgery in general; 2) the three most frequent primary operations and reoperations; and 3) primary operations during and outside regular working hours. A total of 9,767 surgical procedures were identified from the Danish Fracture Database (DFDB). Procedures were grouped based on the surgeons' level of experience, extent of supervision, type (primary, planned secondary or reoperation), classification (AO Müller), and whether they were performed during or outside regular hours. Interns and junior residents combined performed 46% of all procedures. A total of 90% of surgeries by interns were performed under supervision, whereas 32% of operations by junior residents were unsupervised. Supervision was absent in 14-16% and 22-33% of the three most frequent primary procedures and reoperations when performed by interns and junior residents, respectively. The proportion of unsupervised procedures by junior residents grew from 30% during to 40% (p < 0.001) outside regular hours. Interns and junior residents together performed almost half of all fracture-related surgery. The extent of supervision was generally high; however, a third of the primary procedures performed by junior residents were unsupervised. The extent of unsupervised surgery performed by junior residents was significantly higher outside regular hours. not relevant. The Danish Fracture Database ("Dansk Frakturdatabase") was approved by the Danish Data Protection Agency ID: 01321.
Fife, Caroline E; Gelly, Helen; Walker, David; Eckert, Kristen Allison
2016-01-01
To explain how Hyperbaric Oxygen Therapy Registry (HBOTR) data of the US Wound Registry (USWR) helped establish a fair analysis of the physician work of hyperbaric chamber supervision for reimbursement purposes. We queried HBOTR data from January 1, 2013, to December 31, 2013, on patient comorbidities and medications as well as the number of hyperbaric oxygen (HBO₂) therapy treatments supervised per physician per day from all hyperbaric facilities participating in the USWR that had been using the electronic medical record (EHR) for more than six months and had passed data completeness checks. Among 11,240 patients at the 87 facilities included, the mean number of comorbidities and medications was 10 and 12, respectively. The mean number of HBO₂ treatments supervised per physician per day was 3.7 at monoplace facilities and 5.4 at multiplace facilities. Following analysis of these data by the RUC, the reimbursement rate of chamber supervision was decreased to $112.06. Patients undergoing HBO₂ therapy generally suffer from multiple, serious comorbidities and require multiple medications, which increase the risk of HBO₂ and necessitate the presence of a properly trained hyperbaric physician. The lack of engagement by hyperbaric physicians in registry reporting may result in lack of adequate data being available to counter future challenges to reimbursement.
Moran, Anna M; Coyle, Julia; Pope, Rod; Boxall, Dianne; Nancarrow, Susan A; Young, Jennifer
2014-02-13
To identify mechanisms for the successful implementation of support strategies for health-care practitioners in rural and remote contexts. This is an integrative review and thematic synthesis of the empirical literature that examines support interventions for health-care practitioners in rural and remote contexts. This review includes 43 papers that evaluated support strategies for the rural and remote health workforce. Interventions were predominantly training and education programmes with limited evaluations of supervision and mentoring interventions. The mechanisms associated with successful outcomes included: access to appropriate and adequate training, skills and knowledge for the support intervention; accessible and adequate resources; active involvement of stakeholders in programme design, implementation and evaluation; a needs analysis prior to the intervention; external support, organisation, facilitation and/or coordination of the programme; marketing of the programme; organisational commitment; appropriate mode of delivery; leadership; and regular feedback and evaluation of the programme. Through a synthesis of the literature, this research has identified a number of mechanisms that are associated with successful support interventions for health-care practitioners in rural and remote contexts. This research utilised a methodology developed for studying complex interventions in response to the perceived limitations of traditional systematic reviews. This synthesis of the evidence will provide decision-makers at all levels with a collection of mechanisms that can assist the development and implementation of support strategies for staff in rural and remote contexts.
2014-01-01
Objective To identify mechanisms for the successful implementation of support strategies for health-care practitioners in rural and remote contexts. Design This is an integrative review and thematic synthesis of the empirical literature that examines support interventions for health-care practitioners in rural and remote contexts. Results This review includes 43 papers that evaluated support strategies for the rural and remote health workforce. Interventions were predominantly training and education programmes with limited evaluations of supervision and mentoring interventions. The mechanisms associated with successful outcomes included: access to appropriate and adequate training, skills and knowledge for the support intervention; accessible and adequate resources; active involvement of stakeholders in programme design, implementation and evaluation; a needs analysis prior to the intervention; external support, organisation, facilitation and/or coordination of the programme; marketing of the programme; organisational commitment; appropriate mode of delivery; leadership; and regular feedback and evaluation of the programme. Conclusion Through a synthesis of the literature, this research has identified a number of mechanisms that are associated with successful support interventions for health-care practitioners in rural and remote contexts. This research utilised a methodology developed for studying complex interventions in response to the perceived limitations of traditional systematic reviews. This synthesis of the evidence will provide decision-makers at all levels with a collection of mechanisms that can assist the development and implementation of support strategies for staff in rural and remote contexts. PMID:24521004
Near ground level sensing for spatial analysis of vegetation
NASA Technical Reports Server (NTRS)
Sauer, Tom; Rasure, John; Gage, Charlie
1991-01-01
Measured changes in vegetation indicate the dynamics of ecological processes and can identify the impacts from disturbances. Traditional methods of vegetation analysis tend to be slow because they are labor intensive; as a result, these methods are often confined to small local area measurements. Scientists need new algorithms and instruments that will allow them to efficiently study environmental dynamics across a range of different spatial scales. A new methodology that addresses this problem is presented. This methodology includes the acquisition, processing, and presentation of near ground level image data and its corresponding spatial characteristics. The systematic approach taken encompasses a feature extraction process, a supervised and unsupervised classification process, and a region labeling process yielding spatial information.
Schouten, Kim; van der Weijde, Onne; Frasincar, Flavius; Dekker, Rommert
2018-04-01
Using online consumer reviews as electronic word of mouth to assist purchase-decision making has become increasingly popular. The Web provides an extensive source of consumer reviews, but one can hardly read all reviews to obtain a fair evaluation of a product or service. A text processing framework that can summarize reviews, would therefore be desirable. A subtask to be performed by such a framework would be to find the general aspect categories addressed in review sentences, for which this paper presents two methods. In contrast to most existing approaches, the first method presented is an unsupervised method that applies association rule mining on co-occurrence frequency data obtained from a corpus to find these aspect categories. While not on par with state-of-the-art supervised methods, the proposed unsupervised method performs better than several simple baselines, a similar but supervised method, and a supervised baseline, with an -score of 67%. The second method is a supervised variant that outperforms existing methods with an -score of 84%.
Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation.
Xu, Zhe; Huang, Shaoli; Zhang, Ya; Tao, Dacheng
2018-05-01
Learning visual representations from web data has recently attracted attention for object recognition. Previous studies have mainly focused on overcoming label noise and data bias and have shown promising results by learning directly from web data. However, we argue that it might be better to transfer knowledge from existing human labeling resources to improve performance at nearly no additional cost. In this paper, we propose a new semi-supervised method for learning via web data. Our method has the unique design of exploiting strong supervision, i.e., in addition to standard image-level labels, our method also utilizes detailed annotations including object bounding boxes and part landmarks. By transferring as much knowledge as possible from existing strongly supervised datasets to weakly supervised web images, our method can benefit from sophisticated object recognition algorithms and overcome several typical problems found in webly-supervised learning. We consider the problem of fine-grained visual categorization, in which existing training resources are scarce, as our main research objective. Comprehensive experimentation and extensive analysis demonstrate encouraging performance of the proposed approach, which, at the same time, delivers a new pipeline for fine-grained visual categorization that is likely to be highly effective for real-world applications.
Berglund, Mia; Sjögren, Reet; Ekebergh, Margaretha
2012-03-01
To describe the importance of supervisors working together in supporting the learning process of nurse students through reflective caring science supervision. A supervision model has been developed in order to meet the need for interweaving theory and practice. The model is characterized by learning reflection in caring science. A unique aspect of the present project was that the student groups were led by a teacher and a nurse. Data were collected through interviews with the supervisors. The analysis was performed with a phenomenological approach. The results showed that theory and practice can be made more tangible and interwoven by using two supervisors in a dual supervision. The essential structure is built on the constituents 'Reflection as Learning Support', 'Interweaving Caring Science with the Patient's Narrative', 'The Student as a Learning Subject' and 'The Learning Environment of Supervision'. The study concludes that supervision in pairs provides unique possibilities for interweaving and developing theory and practice. The supervision model offers unique opportunities for cooperation, for the development of theory and practice and for the development of the professional roll of nurses and teachers. © 2012 Blackwell Publishing Ltd.
Medrano, María; Cadenas-Sanchez, Cristina; Álvarez-Bueno, Celia; Cavero-Redondo, Iván; Ruiz, Jonatan R; Ortega, Francisco B; Labayen, Idoia
2018-02-13
The main purposes of this study were to elucidate the effects of supervised-exercise training (ET) interventions on hepatic fat content and on non-alcoholic fatty liver disease (NAFLD) prevalence in children and adolescents and to provide information about the optimal ET prescription (type, intensity, volume, and frequency) needed to reduce hepatic fat content in youths. Supervised-ET interventions performed in children and adolescents (6-19 years) that provided results of exercise effects on hepatic fat content or NAFLD prevalence were included. Supervised-exercise significantly reduced hepatic fat content compared to the control groups. Lifestyle interventions that included supervised-ET significantly reduced the prevalence of NAFLD. This systematic review and meta-analysis shows that supervised-ET could be an effective strategy in the management and prevention of NAFLD in children and adolescents. Both aerobic and resistance ET, at vigorous or moderate-to-vigorous intensities, with a volume ≥60 min/session and a frequency ≥3 sessions/week, aiming to improve cardiorespiratory fitness and muscular strength, had benefits on hepatic fat content reduction in youth. These data concur with the international recommendations of physical activity for health promotion in youth and may be useful when designing ET programs to improve and prevent hepatic steatosis in the pediatric population. Copyright © 2017 Elsevier Inc. All rights reserved.
Mei, L; Tobe, R G; Geng, H; Ma, Y B; Li, R Y; Wang, W B; Selotlegeng, L; Wang, X Z; Xu, L Z
2012-12-01
Disposal of sputum from patients with pulmonary tuberculosis (TB) who are treated at home is an important aspect of preventing the spread of TB. However, few studies have examined disposal of sputum by patients with TB who are treated at home. Patients with pulmonary TB who are treated at home were surveyed regarding sputum handling and supervision. A cross-sectional survey of a representative sample of patients with pulmonary TB who are treated at home was conducted in Shandong Province. Participants were individuals with TB who had been registered with a local agency responsible for TB control. Participants completed a questionnaire with both qualitative and quantitative questions. How sputum was handled was determined and factors associated with sputum disposal were analyzed using a non-parametric test, logistic regression, and content analysis. Responses were received from 720 participants. Patients expectorated sputum 4.56 ± 10.367 times a day, and 68.6% of patients responded that they correctly disposed of their sputum. Supervision as part of TB control focused on the efforts of health agencies and paid little attention to waste management by patients. A non-parametric test showed that sputum disposal was significantly associated with gender, age, education, sputum smear results, attitudes toward waste management, and attitudes toward supervision (all p < 0.05). Logistic regression analysis showed that gender (OR = 0.482, 95% CI: 0.329-0.704), sputum smear results (OR = 1.300, 95% CI: 1.037-1.629), and level of education (OR = 0.685, 95% CI: 0.528-0.889) were associated with receipt of TB health education (all p < 0.05). Sputum handling by and supervision of patients with pulmonary TB who are treated at home is severely wanting. From a policy perspective, special attention should be given to the definition, details, and methods of supervision of waste management by patients with TB to give them relevant health education and enhance their willingness to be supervised. A financial incentive should be provided to health workers supervising management of TB-related waste.
The situation of generation, treatment and supervision of common industrial solid wastes in China
NASA Astrophysics Data System (ADS)
Xu, Shumin
2018-02-01
From the point of view of location and sources, an analysis is done for the generation, utilization, treatment and storage of common industrial solid wastes in China. Based on the current situations, suggestions are given to the treatment and supervision polices in China for the utilization of common industrial solid wastes.
Luck, Margaux; Schmitt, Caroline; Talbi, Neila; Gouya, Laurent; Caradeuc, Cédric; Puy, Hervé; Bertho, Gildas; Pallet, Nicolas
2018-01-01
Metabolomic profiling combines Nuclear Magnetic Resonance spectroscopy with supervised statistical analysis that might allow to better understanding the mechanisms of a disease. In this study, the urinary metabolic profiling of individuals with porphyrias was performed to predict different types of disease, and to propose new pathophysiological hypotheses. Urine 1 H-NMR spectra of 73 patients with asymptomatic acute intermittent porphyria (aAIP) and familial or sporadic porphyria cutanea tarda (f/sPCT) were compared using a supervised rule-mining algorithm. NMR spectrum buckets bins, corresponding to rules, were extracted and a logistic regression was trained. Our rule-mining algorithm generated results were consistent with those obtained using partial least square discriminant analysis (PLS-DA) and the predictive performance of the model was significant. Buckets that were identified by the algorithm corresponded to metabolites involved in glycolysis and energy-conversion pathways, notably acetate, citrate, and pyruvate, which were found in higher concentrations in the urines of aAIP compared with PCT patients. Metabolic profiling did not discriminate sPCT from fPCT patients. These results suggest that metabolic reprogramming occurs in aAIP individuals, even in the absence of overt symptoms, and supports the relationship that occur between heme synthesis and mitochondrial energetic metabolism.
An analysis of delegation styles among newly qualified nurses.
Magnusson, Carin; Allan, Helen; Horton, Khim; Johnson, Martin; Evans, Karen; Ball, Elaine
2017-02-15
Aim The aim of this research was to explore how newly qualified nurses learn to organise, delegate and supervise care in hospital wards when working with and supervising healthcare assistants. It was part of a wider UK research project to explore how newly qualified nurses recontextualise the knowledge they have gained during their pre-registration nurse education programmes for use in clinical practice. Method Ethnographic case studies were conducted in three hospital sites in England. Data collection methods included participant observations and semi-structured interviews with newly qualified nurses, healthcare assistants and ward managers. A thematic analysis was used to examine the data collected. Findings Five styles of how newly qualified nurses delegated care to healthcare assistants were identified: the do-it-all nurse, who completes most of the work themselves; the justifier, who over-explains the reasons for decisions and is sometimes defensive; the buddy, who wants to be everybody's friend and avoids assuming authority; the role model, who hopes that others will copy their best practice but has no way of ensuring how; and the inspector, who is acutely aware of their accountability and constantly checks the work of others. Conclusion Newly qualified nurses require educational and organisational support to develop safe and effective delegation skills, because suboptimal or no delegation can have negative effects on patient safety and care.
Coleman, Anne Marie; Chouliara, Zoë; Currie, Kay
2018-03-01
The aim of this article is to explore the positive and negative impacts of working therapeutically in complex psychological trauma (CPT), particularly the field of gender-based violence (GBV) and childhood sexual abuse (CSA), from the clinicians' perspective. The focus was on the prospect of positive gains and growth for therapists. Twenty-one clinicians ( n = 21; counselors/psychotherapists and psychologists) from National Health Service (NHS) specialist trauma services, a community mental health team, and specialist sexual assault counseling organization participated. Interpretative phenomenological analysis (IPA) was utilized to conduct single one-off interviews and analysis. Six themes were identified: Called to the work; Connection, Separation, and Oneness; Into and out of the darkness; Chaos into meaning; Reparation not repetition; and Expansion and growth. The first "Therapist Led Framework of Growth in Trauma Work" is presented. Vicarious posttraumatic growth (VPTG) was a key finding, with CPT therapists experiencing a "challenge/benefit/change" growth process. Adoption of actively relational strategies to enhance clinicians' growth process through trauma work is being proposed. The benefits of conceptualizing both the positive and negative impacts of such work for supervision, training, shaping the formal curricula, service management, and continuing professional development (CPD) are being discussed. The need for good practice guidelines on self-care internationally is highlighted.
Kim, Sun Hee; Yoo, So Yeon; Kim, Yae Young
2018-02-01
This study was conducted to evaluate the validity and reliability of the Korean version of the clinical learning environment, supervision and nurse teacher evaluation scale (CLES+T) that measures the clinical learning environment and the conditions associated with supervision and nurse teachers. The English CLES+T was translated into Korean with forward and back translation. Survey data were collected from 434 nursing students who had more than four days of clinical practice in Korean hospitals. Internal consistency reliability and construct validity using confirmatory and exploratory factor analysis were conducted. SPSS 20.0 and AMOS 22.0 programs were used for data analysis. The exploratory factor analysis revealed seven factors for the thirty three-item scale. Confirmatory factor analysis supported good convergent and discriminant validities. The Cronbach's alpha for the overall scale was .94 and for the seven subscales ranged from .78 to .94. The findings suggest that the 33-items Korean CLES+T is an appropriate instrument to measure Korean nursing students'clinical learning environment with good validity and reliability. © 2018 Korean Society of Nursing Science.
NASA Astrophysics Data System (ADS)
Zeyl, Timothy; Yin, Erwei; Keightley, Michelle; Chau, Tom
2016-04-01
Objective. Error-related potentials (ErrPs) have the potential to guide classifier adaptation in BCI spellers, for addressing non-stationary performance as well as for online optimization of system parameters, by providing imperfect or partial labels. However, the usefulness of ErrP-based labels for BCI adaptation has not been established in comparison to other partially supervised methods. Our objective is to make this comparison by retraining a two-step P300 speller on a subset of confident online trials using naïve labels taken from speller output, where confidence is determined either by (i) ErrP scores, (ii) posterior target scores derived from the P300 potential, or (iii) a hybrid of these scores. We further wish to evaluate the ability of partially supervised adaptation and retraining methods to adjust to a new stimulus-onset asynchrony (SOA), a necessary step towards online SOA optimization. Approach. Eleven consenting able-bodied adults attended three online spelling sessions on separate days with feedback in which SOAs were set at 160 ms (sessions 1 and 2) and 80 ms (session 3). A post hoc offline analysis and a simulated online analysis were performed on sessions two and three to compare multiple adaptation methods. Area under the curve (AUC) and symbols spelled per minute (SPM) were the primary outcome measures. Main results. Retraining using supervised labels confirmed improvements of 0.9 percentage points (session 2, p < 0.01) and 1.9 percentage points (session 3, p < 0.05) in AUC using same-day training data over using data from a previous day, which supports classifier adaptation in general. Significance. Using posterior target score alone as a confidence measure resulted in the highest SPM of the partially supervised methods, indicating that ErrPs are not necessary to boost the performance of partially supervised adaptive classification. Partial supervision significantly improved SPM at a novel SOA, showing promise for eventual online SOA optimization.
Planning applications in East Central Florida
NASA Technical Reports Server (NTRS)
Hannah, J. W. (Principal Investigator); Thomas, G. L.; Esparza, F.; Millard, J. J.
1974-01-01
The author has identified the following significant results. This is a study of applications of ERTS data to planning problems, especially as applicable to East Central Florida. The primary method has been computer analysis of digital data, with visual analysis of images serving to supplement the digital analysis. The principal method of analysis was supervised maximum likelihood classification, supplemented by density slicing and mapping of ratios of band intensities. Land-use maps have been prepared for several urban and non-urban sectors. Thematic maps have been found to be a useful form of the land-use maps. Change-monitoring has been found to be an appropriate and useful application. Mapping of marsh regions has been found effective and useful in this region. Local planners have participated in selecting training samples and in the checking and interpretation of results.
Clinical Supervision of Athletic Training Students at Colleges and Universities Needs Improvement
Weidner, Thomas G.; Pipkin, Jennifer
2002-01-01
Objectives: To assess the type and amount of clinical supervision athletic training students received during clinical education. Design and Setting: An online survey was conducted with a questionnaire developed specifically for this study. Subjects: Head athletic trainers from National Collegiate Athletic Association Division I (28), Division II (34), and Division III institutions (30). Thirty-four represented Commission on the Accreditation of Allied Health Education Programs-accredited athletic training education programs, 20 represented athletic training programs in Joint Review Commission on Athletic Training candidacy, and 35 offered the internship route. Measurements: Descriptive statistics were computed. Three sets of chi-square analyses were completed to assess associations among athletic training students with first-responder qualifications, program and institution characteristics, certified athletic trainer medical coverage of moderate- and increased-risk sports, and clinical supervision. A trend analysis of students' class standing and time spent in different types of clinical supervision was also completed. The alpha level was set at < .05. Results: Most of the athletic training students (83.7%), particularly in accredited programs, had first-responder qualifications. More than half of the head athletic trainers (59.8%) indicated that athletic training students were authorized to provide medical care coverage without supervision. A minimal amount of medical care coverage of moderate- and increased-risk sports was unsupervised. No significant difference between the size of the education or athletic program and type and amount of clinical supervision was noted. Freshman athletic training students spent more time in direct clinical supervision and less time in unsupervised experience, but the opposite was true for senior students. Conclusions: Athletic training students are being utilized beyond appropriate clinical supervision and the scope of clinical education. Future research should employ methods using nonparticipant observation of clinical instructors' supervision of students as well as students' own perceptions of their clinical supervision. PMID:12937552
Being and becoming a psychotherapy supervisor: the crucial triad of learning difficulties.
Watkins, C Edward
2013-01-01
More than 40 years ago eminent psychiatrist Richard Chessick penned a classic, highly prescient psychotherapy supervision paper (that appeared in this journal) in which he identified for supervisors the crucial triad of learning difficulties that tend to confront beginning therapists in their training. These are (a) dealing with the anxiety attendant to the development of psychological mindedness; (b) developing a psychotherapist identity; and (c) developing conviction about the meaningfulness of psychodynamics and psychotherapy. In this paper, I would like to revisit Chessick's seminal contribution about the teaching and learning of psychotherapy and extrapolate his triad of learning difficulties to the process of teaching and learning supervision. The process of being and becoming a psychotherapist has been likened to a developmental journey, and similarly being and becoming a supervisor is increasingly recognized as a developmental journey that is best stimulated by means of didactic and practical experiences (i.e., supervision coursework, seminars, or workshops and the supervision of supervision). In what follows, I would like to explore how Chessick's crucial triad of learning difficulties can be meaningfully extrapolated to and used to inform the supervision training situation. In extrapolating Chessick's triad, beginning supervisors or supervisor trainees can be conceptualized as confronting three critical issues: (a) dealing with the anxiety and demoralization attendant to the development of supervisory mindedness; (b) developing a supervisory identity; and (c) developing conviction about the meaningfulness of psychotherapy supervision. This triadic conceptualization appears to capture nicely core concerns that extend across the arc of the supervisor development process and provides a useful and usable way of thinking about supervisor training and informing it. Each component of the triadic conceptualization is described, and some supervisor education intervention possibilities are considered.
Sequence Learning with Passive RFID Sensors for Real-Time Bed-Egress Recognition in Older People.
Wickramasinghe, Asanga; Ranasinghe, Damith C; Fumeaux, Christophe; Hill, Keith D; Visvanathan, Renuka
2017-07-01
Getting out of bed and ambulating without supervision is identified as one of the major causes of patient falls in hospitals and nursing homes. Therefore, increased supervision is proposed as a key strategy toward falls prevention. An emerging generation of batteryless, lightweight, and wearable sensors are creating new possibilities for ambulatory monitoring, where the unobtrusive nature of such sensors makes them particularly adapted for monitoring older people. In this study, we investigate the use of a batteryless radio-frequency identification (RFID) tag response to analyze bed-egress movements. We propose a bed-egress movement detection framework that includes a novel sequence learning classifier with a set of features derived from bed-egress motion analysis. We analyzed data from 14 healthy older people (66-86 years old) who wore a wearable embodiment of a batteryless accelerometer integrated RFID sensor platform loosely attached over their clothes at sternum level, and undertook a series of activities including bed-egress in two clinical room settings. The promising results indicate the efficacy of our batteryless bed-egress monitoring framework.
Hospital management training and improvement in managerial skills: Serbian experience.
Supic, Zorica Terzic; Bjegovic, Vesna; Marinkovic, Jelena; Milicevic, Milena Santric; Vasic, Vladimir
2010-06-01
The purpose of this study was to analyze the improvement of managerial skills of hospitals' top managers after a specific management training programme, and to explore possible predictors and relations. The study was conducted during the years 2006 and 2007 with cohort of 107 managers from 20 Serbian general hospitals. The managers self-assessed the improvement in their managerial skills before and after the training programme. After the training programme, all managers' skills had improved. The biggest improvement was in the following skills: organizing daily activities, motivating and guiding others, supervising the work of others, group discussion, and situation analysis. The least improved were: applying creative techniques, working well with peers, professional self-development, written communication, and operational planning. Identified predictors of improvement were: shorter years of managerial experience, type of manager, type of profession, and recognizing the importance of the managerial skills in oral communication, evidence-based decision making, and supervising the work of others. Specific training programme related to strategic management can increase managerial competencies, which are an important source of competitive advantage for organizations. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.
Conceptualisations and perceptions of the nurse preceptor's role: A scoping review.
Trede, Franziska; Sutton, Katelin; Bernoth, Maree
2016-01-01
The practice of nursing is a substantially different undertaking to supervising nursing students. A clear conceptualisation of the preceptor role reveals its scope, expectations and responsibilities. The aim of this scoping review is to investigate what is known in the pertinent literature about preceptors' experiences of their supervision practices and their perceptions of what makes a good workplace environment that enables good preceptorship and is conducive to student learning. The literature scoping review design by Arksey and O'Malley was adopted for this literature review study because it enables researchers to chart, gather and summarise known literature on a given topic. Databases searched included Scopus, Ebsco, Informit and VOCEDplus. To answer our research question what is known about how undergraduate nursing student preceptors' supervision practices are conceptualised and perceived we posed four analysis questions to our literature set: (1) How do the articles conceptualise preceptorship? (2) What pedagogical frameworks are used to understand preceptorship? (3) What are the messages for preceptorship practices? (4) What are the recommendations for future research? A total of 25 articles were identified as eligible for this study. The results are ordered into four sections: theoretical conceptualisations of the preceptorship role, pedagogical framework, messages about preceptoring and recommendations for further research. The discourse of preceptorship is not underpinned by a strong theoretical and pedagogical base. The role of preceptors has not been expanded to include theoretical perspectives from socio-cultural practice and social learning paradigms. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.
Applying active learning to supervised word sense disambiguation in MEDLINE.
Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua
2013-01-01
This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models.
Mirzaei Aliabadi, Mostafa; Aghaei, Hamed; Kalatpour, Omid; Soltanian, Ali Reza; SeyedTabib, Maryam
2018-05-18
Mines are a dangerous workplace worldwide with a high accident rate. According to the Statistical Center of Iran, the number of occupational accidents in Iranian mines has increased in recent years. This study determined and explained human and organizational deficiencies influencing Iranian mining accidents. In this study, the data associated with 305 mining accidents were investigated. The data were analyzed based on a systems analysis approach to identify critical deficiencies in organizational influences, unsafe supervision, preconditions for unsafe acts, and workers' unsafe acts. Partial Least Square Structural Equation Modeling [PLS-SEM] was utilized for modeling the interactions between these deficiencies. It was demonstrated that organizational deficiencies had a direct positive effect on workers' violations (path coefficient=0.16) and workers' errors (path coefficient=0.23). The effect of unsafe supervision on workers' violations and workers' errors was also significant with the path coefficients of 0.14 and 0.20. Likewise, preconditions for unsafe acts also had a significant effect on both workers' violations (path coefficient=0.16) and workers' errors (path coefficient=0.21). Moreover, organizational deficiencies had an indirect positive effect on workers' unsafe acts mediated by unsafe supervision and preconditions for unsafe acts. Among the variables examined in the current study, organizational influences had the strongest impacts on workers' unsafe acts. Organizational deficiencies are the main causes of accidents in mining sectors that affects all other aspects of system safety. For preventing occupational accidents, organizational deficiencies should be modified first.
Applying active learning to supervised word sense disambiguation in MEDLINE
Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua
2013-01-01
Objectives This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. Methods We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Results Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. Conclusions This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models. PMID:23364851
A systematic review of clinical supervision evaluation studies in nursing.
Cutcliffe, John R; Sloan, Graham; Bashaw, Marie
2018-02-15
According to the international, extant literature published during the last 20 years or so, clinical supervision (CS) in nursing is now a reasonably common phenomenon. Nevertheless, what appears to be noticeably 'thin on the ground' in this body of literature are empirical evaluations of CS, especially those pertaining to client outcomes. Accordingly, the authors undertook a systematic review of empirical evaluations of CS in nursing to determine the state of the science. Adopting the approach documented by Stroup et al. (JAMA, 283, 2000, 2008), the authors searched for reports of evaluation studies of CS in nursing - published during the years 1995 to 2015. Keywords for the search were 'clinical supervision', 'evaluation', 'efficacy', 'nursing', and combinations of these keywords. Electronic databases used were CINAHL, MEDLINE, PsychLIT, and the British Nursing Index. The research evidence from twenty-eight (28) studies reviewed is presented, outlining the main findings with an overview of each study presented. The following broad themes were identified and are each discussed in the study: narrative/anecdotal accounts of positive outcomes for clinical supervision, narrative/anecdotal accounts of negative outcomes for clinical supervision, empirical positive outcomes reported by supervisee, and empirical findings showing no effect by supervisee. © 2018 Australian College of Mental Health Nurses Inc.
Morrongiello, B A; Schell, S L; Stewart, J
2015-07-01
Past research has shown that increased injury risk for supervisees during sibling supervision is in part due to the supervision practices of older siblings. The current study used a photo sorting task to examine older siblings' recognition of injury-risk behaviours, their perceived likelihood of supervisees engaging in, or being injured while engaging in, these behaviours, and awareness of past risk-taking behaviours of supervisees. Mothers completed the same measures and an interview about sibling supervision in the home. Mothers reported that sibling supervision occurred most frequently in the kitchen, living room, and children's bedrooms, for approximately 39 min/day, and that the more time the children spent together in a room, the more frequently the older sibling supervised the younger one. The most common reasons mothers gave for why sibling supervision was allowed included beliefs that the older child knows about hazards and unsafe behaviours and that the child could provide adequate supervision. Photo sort results revealed that older siblings were able to correctly identify about 98% of risk behaviours, with these scores significantly higher than what mothers expected (79%). However, compared with mothers, older siblings were less aware of risk behaviours that their younger siblings had engaged in previously. In addition, mothers rated supervisees as 'fairly likely' both to engage in risk behaviours and to experience an injury if they tried these behaviours, whereas sibling supervisors rated both supervisee risk behaviour and injury outcomes as 'not likely' to occur. Older siblings showed good knowledge of hazards but failed to realize that younger children often engage in injury-risk behaviours. Efforts to improve the supervision practices of sibling supervisors need to include changing their perception of supervisees' injury vulnerability and potential injury severity, rather than targeting to increase knowledge of injury-risk behaviours per se. © 2014 John Wiley & Sons Ltd.
Jones, Carolynn Thomas; Hastings, Clare; Wilson, Lynda Law
2015-01-01
There has been limited research to document differences in roles between nurses and non-nurses who assume clinical research coordination and management roles. Several authors have suggested that there is no acknowledged guidance for the licensure requirements for research study coordinators and that some non-nurse research coordinators may be assuming roles that are outside of their legal scopes of practice. There is a need for further research on issues related to the delegation of clinical research activities to non-nurses. This study used nominal group process focus groups to identify perceptions of experienced research nurse managers at an academic health science center in the Southern United States about the clinical research activities that are being performed by non-nurse clinical research coordinators without supervision that they believed should only be performed by a nurse or under the supervision of a nurse. A total of 13 research nurse managers volunteered to be contacted about the study. Of those, 8 participated in two separate nominal group process focus group sessions. The group members initially identified 22 activities that they felt should only be performed by a nurse or under the direct supervision of a nurse. After discussion and clarification of results, activities were combined into 12 categories of clinical research activities that participants believed should only be performed by a nurse or under the direct supervision of a nurse. Copyright © 2015 Elsevier Inc. All rights reserved.
Bank supervision using the Threshold-Minimum Dominating Set
NASA Astrophysics Data System (ADS)
Gogas, Periklis; Papadimitriou, Theophilos; Matthaiou, Maria-Artemis
2016-06-01
An optimized, healthy and stable banking system resilient to financial crises is a prerequisite for sustainable growth. Minimization of (a) the associated systemic risk and (b) the propagation of contagion in the case of a banking crisis are necessary conditions to achieve this goal. Central Banks are in charge of this significant undertaking via a close and detailed monitoring of the banking network. In this paper, we propose the use of an auxiliary supervision/monitoring system that is both efficient with respect to the required resources and can promptly identify a set of banks that are in distress so that immediate and appropriate action can be taken by the supervising authority. We use the network defined by the interrelations between banking institutions employing tools from Complex Networks theory for an efficient management of the entire banking network. In doing so, we introduce the Threshold Minimum Dominating Set (T-MDS). The T-MDS is used to identify the smallest and most efficient subset of banks that can be used as (a) sensors of distress of a manifesting banking crisis and (b) provide a path of possible contagion. We propose the use of this method as a supplementary monitoring tool in the arsenal of a Central Bank. Our dataset includes the 122 largest American banks in terms of their interbank loans. The empirical results show that when the T-MDS methodology is applied, we can have an efficient supervision of the whole banking network, by monitoring just a subset of 47 banks.
ERIC Educational Resources Information Center
Apostolidou, Zoe; Schweitzer, Robert
2017-01-01
The present study is the first study undertaken in Australia that seeks to explore practitioners' perspectives on the use of clinical supervision in their therapeutic engagement with asylum seekers and refugees. We used thematic analysis to analyse extracts of interviews that were conducted with nine professionals who worked therapeutically with…
ERIC Educational Resources Information Center
Bayrak, Coskun; Kesim, Eren
2005-01-01
In this study, an e-learning platform was formed to enable school teachers and administrators to attend graduate programs in the field of educational administration, supervision, planning and economics. In this framework, for the non-thesis educational administration, supervision, planning and economics graduate programs to be conducted in the…
Applications of remote sensing, volume 3
NASA Technical Reports Server (NTRS)
Landgrebe, D. A. (Principal Investigator)
1977-01-01
The author has identified the following significant results. Of the four change detection techniques (post classification comparison, delta data, spectral/temporal, and layered spectral temporal), the post classification comparison was selected for further development. This was based upon test performances of the four change detection method, straightforwardness of the procedures, and the output products desired. A standardized modified, supervised classification procedure for analyzing the Texas coastal zone data was compiled. This procedure was developed in order that all quadrangles in the study are would be classified using similar analysis techniques to allow for meaningful comparisons and evaluations of the classifications.
Agony of the ecstasy: report of five cases of MDMA smuggling.
Low, V H S; Dillon, E K
2005-10-01
The international smuggling of illicit drugs by the ingestion or rectal insertion of drug-filled packages is recognized in the trafficking of heroin and cocaine. Customs authorities, with suspicion of such activities, presented five subjects. The legally allowed radiological examination comprising one supine abdominal radiograph was performed. Radiographic findings demonstrated the presence of multiple enteric oval, capsule-shaped packages of soft tissue density. This was confirmed following supervised evacuation of bowel contents induced by the administration of laxatives. Analysis of the concealed material identified ecstasy (methylenedioxymethamphetamine (MDMA)), a substance not previously reported as transported by this route.
NASA Astrophysics Data System (ADS)
Li, Zhixiong; Yan, Xinping; Wang, Xuping; Peng, Zhongxiao
2016-06-01
In the complex gear transmission systems, in wind turbines a crack is one of the most common failure modes and can be fatal to the wind turbine power systems. A single sensor may suffer with issues relating to its installation position and direction, resulting in the collection of weak dynamic responses of the cracked gear. A multi-channel sensor system is hence applied in the signal acquisition and the blind source separation (BSS) technologies are employed to optimally process the information collected from multiple sensors. However, literature review finds that most of the BSS based fault detectors did not address the dependence/correlation between different moving components in the gear systems; particularly, the popular used independent component analysis (ICA) assumes mutual independence of different vibration sources. The fault detection performance may be significantly influenced by the dependence/correlation between vibration sources. In order to address this issue, this paper presents a new method based on the supervised order tracking bounded component analysis (SOTBCA) for gear crack detection in wind turbines. The bounded component analysis (BCA) is a state of art technology for dependent source separation and is applied limitedly to communication signals. To make it applicable for vibration analysis, in this work, the order tracking has been appropriately incorporated into the BCA framework to eliminate the noise and disturbance signal components. Then an autoregressive (AR) model built with prior knowledge about the crack fault is employed to supervise the reconstruction of the crack vibration source signature. The SOTBCA only outputs one source signal that has the closest distance with the AR model. Owing to the dependence tolerance ability of the BCA framework, interfering vibration sources that are dependent/correlated with the crack vibration source could be recognized by the SOTBCA, and hence, only useful fault information could be preserved in the reconstructed signal. The crack failure thus could be precisely identified by the cyclic spectral correlation analysis. A series of numerical simulations and experimental tests have been conducted to illustrate the advantages of the proposed SOTBCA method for fatigue crack detection. Comparisons to three representative techniques, i.e. Erdogan's BCA (E-BCA), joint approximate diagonalization of eigen-matrices (JADE), and FastICA, have demonstrated the effectiveness of the SOTBCA. Hence the proposed approach is suitable for accurate gear crack detection in practical applications.
Chernogorova, M V; Belousova, E A; Gurov, A N
2004-01-01
There was an analysis of the results of a 5-year observation over 226 patients with the most prevailing digestive apparatus diseases: stomach ulcer and duodenal ulcer (SU and DU), chronic pancreatitis (CP), irritable bowel syndrome (IBS) in an outpatient clinic. Patients were supervised by gastroenterologists (168 patients) and therapeutists (58 patients). It was noted that supervision of the patients by gastroenterologists authentically reduces the frequency of hospitalizations and duration of their stay on the sick-list as compared with the patients being observed by therapeutists and results in higher indices of life quality (LQ) among the patients.
Jozaghi, Ehsan; Reid, Andrew A; Andresen, Martin A
2013-07-09
This paper will determine whether expanding Insite (North America's first and only supervised injection facility) to more locations in Canada such as Montreal, cost less than the health care consequences of not having such expanded programs for injection drug users. By analyzing secondary data gathered in 2012, this paper relies on mathematical models to estimate the number of new HIV and Hepatitis C (HCV) infections prevented as a result of additional SIF locations in Montreal. With very conservative estimates, it is predicted that the addition of each supervised injection facility (up-to a maximum of three) in Montreal will on average prevent 11 cases of HIV and 65 cases of HCV each year. As a result, there is a net cost saving of CDN$0.686 million (HIV) and CDN$0.8 million (HCV) for each additional supervised injection site each year. This translates into a net average benefit-cost ratio of 1.21: 1 for both HIV and HCV. Funding supervised injection facilities in Montreal appears to be an efficient and effective use of financial resources in the public health domain.
Intellectual Production Supervision Perform based on RFID Smart Electricity Meter
NASA Astrophysics Data System (ADS)
Chen, Xiangqun; Huang, Rui; Shen, Liman; chen, Hao; Xiong, Dezhi; Xiao, Xiangqi; Liu, Mouhai; Xu, Renheng
2018-03-01
This topic develops the RFID intelligent electricity meter production supervision project management system. The system is designed for energy meter production supervision in the management of the project schedule, quality and cost information management requirements in RFID intelligent power, and provide quantitative information more comprehensive, timely and accurate for supervision engineer and project manager management decisions, and to provide technical information for the product manufacturing stage file. From the angle of scheme analysis, design, implementation and test, the system development of production supervision project management system for RFID smart meter project is discussed. Focus on the development of the system, combined with the main business application and management mode at this stage, focuses on the energy meter to monitor progress information, quality information and cost based information on RFID intelligent power management function. The paper introduces the design scheme of the system, the overall client / server architecture, client oriented graphical user interface universal, complete the supervision of project management and interactive transaction information display, the server system of realizing the main program. The system is programmed with C# language and.NET operating environment, and the client and server platforms use Windows operating system, and the database server software uses Oracle. The overall platform supports mainstream information and standards and has good scalability.
A Longitudinal Study of Adenoma Detection Rate in Gastroenterology Fellowship Training.
Gianotti, Robert J; Oza, Sveta Shah; Tapper, Elliot B; Kothari, Darshan; Sheth, Sunil G
2016-10-01
Current guidelines suggest that a gastroenterology fellow in training needs to perform 140 colonoscopies to achieve competency. Data are limited regarding adenoma detection rate (ADR) in fellowship. To assess how fellow ADR correlates with number of colonoscopies performed. We performed a retrospective study examining consecutive colonoscopies performed by gastroenterology fellows. Fellow ADR before and after the 140 procedure benchmark was compared to colonoscopies performed by attending only with whom these fellows trained. A threshold for ideal procedure count was performed using ROC analysis. We analyzed 2021 average-risk colonoscopies performed by 10 gastroenterology fellows under the supervision of an attending physician. When fellows had performed <140 colonoscopies, the ADR was 27 % compared with an ADR of 36 % when fellows had performed >140 colonoscopies under attending supervision (p = 0.02). The ADR of fellows who had performed >140 colonoscopies under attending supervision was greater than that of attending-only colonoscopies (36 vs. 25 %, p < 0.0001). A threshold of >325 (male patients) and 539 (female patients) colonoscopies was determined to be ideal for achieving adequate ADR based on ROC analysis. Our data suggest that ADR increases after fellows perform >140 colonoscopies under attending supervision, and thereafter surpasses the ADR of attending-only colonoscopies. Some of the differences may be driven by detection of small adenomas. The findings of this study suggest that a higher threshold for number of colonoscopies performed under attending supervision may be needed to achieve adequate ADR during fellowship prior to independent practice.
Mr. Traore introduces team supervision. Case scenarios for training and group discussion.
1993-01-01
This supplement to "The Family Planning Manager" presents a case example and five case discussion questions to illustrate the concept of team supervision. In contrast to traditional supervision, where an emphasis is placed on inspection and the uncovering of deficiencies, team supervision uses a facilitative, advocacy-oriented approach. Problem-solving and decision-making responsibilities are assumed by the clinic staff, who identify and analyze problems in group meetings. Thus, the focus shifts from assessing individual performance to evaluating how well they meet clinic objectives as a team. In the team meetings, the visiting supervisor asks the team as a whole to analyze clinic problems and ensures that all staff members are aware of the significance of their contributions. The supervisor also clarifies the division of labor required for implementing solutions and performance standards. Staff are asked if they have concerns they would like communicated to the next organizational level. The supervisory report of the visit can serve as a guide for implementing the recommendations. This approach may require that supervisors and clinic managers receive training in problem solving, motivating staff, team building, and providing constructive feedback.
Konje, Eveline T; Kabangila, Rodrick; Manyama, Mange; van Wyk, Jacqueline M
2016-01-01
Clinical training in most medical schools, including the Catholic University of Health and Allied Sciences (CUHAS), is offered in the form of junior and senior rotations. During these clinical rotations, students are expected to acquire and master the basic procedural skills. However, students' learning process should be evaluated for quality improvement. This study was conducted to identify the basic medical procedural skills that third-year medical students should acquire and master and determine the level of students' exposure on these procedures at the end of junior rotation in internal medicine. Identification of the gap between clinicians' opinions, skills practiced by students, and third-year students' curriculum in the medical department at CUHAS was also done. The descriptive cross-sectional study was used to collect data through a self-administered, structured questionnaire from clinicians in medicine. A review of logbooks was considered to determine level of students' exposure, and a document analysis was done using existing medical curriculum. The response of 71% (n=22) was obtained. Clinicians agreed on basic procedures that students should perform independently (ie, Foley catheter insertion, venipuncture, and intravenous drip insertion). Clinicians thought that lumbar punctures, abdominal paracentesis, and nasogastric tube insertion should be done under minimal supervision. A considerable number of students (25%, n=75) did not practice any procedure throughout their rotation. The majority of the students performed venipuncture independently (82.14%, n=56) and lumbar punctures (73.21%, n=56) under supervision. Less than 25% (n=56) of the students met the required number of exposures on the basic procedures. The procedures to be performed and the level of competency in the procedures are not specified in the current curriculum. The study identified the procedures that should be taught and practiced by students. It also highlighted the discrepancies in the existing curriculum and the need to monitor and supervise students' practice.
Rabbani, Fauziah; Perveen, Shagufta; Aftab, Wafa; Zahidie, Aysha; Sangrasi, Kashif; Qazi, Shamim Ahmad
2016-09-01
Pakistan's Lady Health Worker Programme aims to provide care to children sick with pneumonia and diarrhoea, which continues to cause 27 % under-five mortality in Pakistan. The quality of supervision received by Lady Health Workers (LHWs) in the programme influence their knowledge and skills, in turn impacting their ability to provide care. This study is part of an implementation research project titled "Nigraan" (an Urdu word meaning supervisor), and explores LHW and Lady Health Supervisor (LHS) perspectives regarding the role of supervision in improving LHWs performance and motivation in district Badin, Sindh, Pakistan. Their knowledge and skills regarding integrated community case management (iCCM) of diarrhoea and pneumonia were also assessed. Fourteen focus group discussions and 20 in-depth interviews were conducted as part of this qualitative inquiry. Analysis was done using QSR NVivo version 10. Most LHWs and LHSs identified pneumonia and diarrhoea as two major causes of death among children under-five. Poverty, illiteracy, poor hygiene and lack of clean drinking water were mentioned as underlying causes of high mortality due to diarrhoea and pneumonia. LHWs and LHSs gaps in knowledge included classification of dehydration, correctly preparing ORS and prescribing correct antibiotics in pneumonia. Lack of training, delayed salaries and insufficient medicines and other supplies were identified as major factors impeding appropriate knowledge and skill development for iCCM of childhood diarrhoea and pneumonia. LHWs considered adequate supervision and the presence of LHSs during household visits as a factor facilitating their performance. LHWs did not have a preference for written or verbal feedback, but LHSs considered written individual feedback to LHWs to be more useful than group and verbal feedback. LHWs have knowledge and skill gaps that prevent them from providing effective care for diarrhoea and pneumonia. Enhanced supportive feedback from LHSs could improve LHWs skills and performance.
Management and leadership: analysis of nurse manager's knowledge.
Lourenço, Maria Regina; Shinyashiki, Gilberto Tadeu; Trevizan, Maria Auxiliadora
2005-01-01
Nurses have assumed management positions in many health institutions. To properly accomplish the demands of this role, it is important that they be competent in both management and leadership. For appropriate performance, knowledge of management and supervision styles is a priority. Therefore, the goal of this investigation is to identify the nurse manager's knowledge regarding management and leadership. A structured questionnaire containing twenty-seven questions was applied to twelve Brazilian nurse managers of primary care center called "Family Basic Health Units". Data analysis suggested that the nurse manager lower knowledge in management and leadership is related to visionary leadership, management and leadership conceptual differences, leader's behavior, and situational leadership. And, nurse manager greater knowledge is related to power; team work, and coherence between values and attitudes.
The validation of the Supervision of Thesis Questionnaire (STQ).
Henricson, Maria; Fridlund, Bengt; Mårtensson, Jan; Hedberg, Berith
2018-06-01
The supervision process is characterized by differences between the supervisors' and the students' expectations before the start of writing a bachelor thesis as well as after its completion. A review of the literature did not reveal any scientifically tested questionnaire for evaluating nursing students' expectations of the supervision process when writing a bachelor thesis. The aim of the study was to determine the construct validity and internal consistency reliability of a questionnaire for measuring nursing students' expectations of the bachelor thesis supervision process. The study had a developmental and methodological design carried out in four steps including construct validity and internal consistency reliability statistical procedures: construction of the items, assessment of face validity, data collection and data analysis. This study was conducted at a university in southern Sweden, where students on the "Nursing student thesis, 15 ECTS" course were consecutively selected for participation. Of the 512 questionnaires distributed, 327 were returned, a response rate of 64%. Five factors with a total variance of 74% and good communalities, ≥0.64, were extracted from the 10-item STQ. The internal consistency of the 10 items was 0.68. The five factors were labelled: The nature of the supervision process, The supervisor's role as a coach, The students' progression to self-support, The interaction between students and supervisor and supervisor competence. A didactic, useful and secure questionnaire measuring nursing students' expectations of the bachelor thesis supervision process based on three main forms of supervision was created. Copyright © 2018 Elsevier Ltd. All rights reserved.
Vasan, Ashwin; Mabey, David C; Chaudhri, Simran; Brown Epstein, Helen-Ann; Lawn, Stephen D
2017-04-01
Primary health care workers (HCWs) in low- and middle-income settings (LMIC) often work in challenging conditions in remote, rural areas, in isolation from the rest of the health system and particularly specialist care. Much attention has been given to implementation of interventions to support quality and performance improvement for workers in such settings. However, little is known about the design of such initiatives and which approaches predominate, let alone those that are most effective. We aimed for a broad understanding of what distinguishes different approaches to primary HCW support and performance improvement and to clarify the existing evidence as well as gaps in evidence in order to inform decision-making and design of programs intended to support and improve the performance of health workers in these settings. We systematically searched the literature for articles addressing this topic, and undertook a comparative review to document the principal approaches to performance and quality improvement for primary HCWs in LMIC settings. We identified 40 eligible papers reporting on interventions that we categorized into five different approaches: (1) supervision and supportive supervision; (2) mentoring; (3) tools and aids; (4) quality improvement methods, and (5) coaching. The variety of study designs and quality/performance indicators precluded a formal quantitative data synthesis. The most extensive literature was on supervision, but there was little clarity on what defines the most effective approach to the supervision activities themselves, let alone the design and implementation of supervision programs. The mentoring literature was limited, and largely focused on clinical skills building and educational strategies. Further research on how best to incorporate mentorship into pre-service clinical training, while maintaining its function within the routine health system, is needed. There is insufficient evidence to draw conclusions about coaching in this setting, however a review of the corporate and the business school literature is warranted to identify transferrable approaches. A substantial literature exists on tools, but significant variation in approaches makes comparison challenging. We found examples of effective individual projects and designs in specific settings, but there was a lack of comparative research on tools across approaches or across settings, and no systematic analysis within specific approaches to provide evidence with clear generalizability. Future research should prioritize comparative intervention trials to establish clear global standards for performance and quality improvement initiatives. Such standards will be critical to creating and sustaining a well-functioning health workforce and for global initiatives such as universal health coverage. © The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.
Unsupervised real-time speaker identification for daily movies
NASA Astrophysics Data System (ADS)
Li, Ying; Kuo, C.-C. Jay
2002-07-01
The problem of identifying speakers for movie content analysis is addressed in this paper. While most previous work on speaker identification was carried out in a supervised mode using pure audio data, more robust results can be obtained in real-time by integrating knowledge from multiple media sources in an unsupervised mode. In this work, both audio and visual cues will be employed and subsequently combined in a probabilistic framework to identify speakers. Particularly, audio information is used to identify speakers with a maximum likelihood (ML)-based approach while visual information is adopted to distinguish speakers by detecting and recognizing their talking faces based on face detection/recognition and mouth tracking techniques. Moreover, to accommodate for speakers' acoustic variations along time, we update their models on the fly by adapting to their newly contributed speech data. Encouraging results have been achieved through extensive experiments, which shows a promising future of the proposed audiovisual-based unsupervised speaker identification system.
ERIC Educational Resources Information Center
Burns, Rebecca West; Jacobs, Jennifer; Yendol-Hoppey, Diane
2016-01-01
Given the movement to enhanced clinical experiences and school-university collaboration emphasized in the NCATE Blue Ribbon Report, the field of teacher preparation would benefit from an understanding of the research related to preservice teacher (PST) supervision. This article uses qualitative meta-analysis to generate new knowledge about PST…
ERIC Educational Resources Information Center
Muller, Chandra; And Others
This study explored the effects of after-school supervision on 8th graders' academic performance. Data from the National Educational Longitudinal Study of 1988 relating to a total sample size of 20,491 students (after exclusions) in 802 public and 233 private schools were analyzed. The analysis indicated that parents do not discriminate between…
Implementation of the External Quality Assessment Program in Brazil.
Fleury, Marcos Kneip; Menezes, Maria Elizabeth; Correa, José Abol
2017-02-15
The External Quality Assessment (EQA) in Brazil is performed by the National Health Ministry for diseases that are under supervision of Public Health Department. In addition to the government program, the Brazilian Society of Clinical Analysis and the Brazilian Society of Medical Pathology are allowed to provide their programs under the Supervision of National Agency for Sanitary Surveillance (ANVISA) that regulates laboratories to perform EQA programs.
The effect of the learner license Graduated Driver Licensing components on teen drivers' crashes.
Ehsani, Johnathon Pouya; Bingham, C Raymond; Shope, Jean T
2013-10-01
Most studies evaluating the effectiveness of Graduated Driver Licensing (GDL) have focused on the overall system. Studies examining individual components have rarely accounted for the confounding of multiple, simultaneously implemented components. The purpose of this paper is to quantify the effects of a required learner license duration and required hours of supervised driving on teen driver fatal crashes. States that introduced a single GDL component independent of any other during the period 1990-2009 were identified. Monthly and quarterly fatal crash rates per 100,000 population of 16- and 17-year-old drivers were analyzed using single-state time series analysis, adjusting for adult crash rates and gasoline prices. Using the parameter estimates from each state's time series model, the pooled effect of each GDL component on 16- and 17-year-old drivers' fatal crashes was estimated using a random effects meta-analytic model to combine findings across states. In three states, a six-month minimum learner license duration was associated with a significant decline in combined 16- and 17-year-old drivers' fatal crash rates. The pooled effect of the minimum learner license duration across all states in the sample was associated with a significant change in combined 16- and 17-year-old driver fatal crash rates of -.07 (95% Confidence Interval [CI] -.11, -.03). Following the introduction of 30 h of required supervised driving in one state, novice drivers' fatal crash rates increased 35%. The pooled effect across all states in the study sample of having a supervised driving hour requirement was not significantly different from zero (.04, 95% CI -.15, .22). These findings suggest that a learner license duration of at least six-months may be necessary to achieve a significant decline in teen drivers' fatal crash rates. Evidence of the effect of required hours of supervised driving on teen drivers' fatal crash rates was mixed. Copyright © 2013 Elsevier Ltd. All rights reserved.
2014-01-01
Background In an attempt to address a complex disease burden, including improving progress towards MDGs 4 and 5, South Africa recently introduced a re-engineered Primary Health Care (PHC) strategy, which has led to the development of a national community health worker (CHW) programme. The present study explored the development of a cell phone-based and paper-based monitoring and evaluation (M&E) system to support the work of the CHWs. Methods One sub-district in the North West province was identified for the evaluation. One outreach team comprising ten CHWs maintained both the paper forms and mHealth system to record household data on community-based services. A comparative analysis was done to calculate the correspondence between the paper and phone records. A focus group discussion was conducted with the CHWs. Clinical referrals, data accuracy and supervised visits were compared and analysed for the paper and phone systems. Results Compared to the mHealth system where data accuracy was assured, 40% of the CHWs showed a consistently high level (>90% correspondence) of data transfer accuracy on paper. Overall, there was an improvement over time, and by the fifth month, all CHWs achieved a correspondence of 90% or above between phone and paper data. The most common error that occurred was summing the total number of visits and/or activities across the five household activity indicators. Few supervised home visits were recorded in either system and there was no evidence of the team leader following up on the automatic notifications received on their cell phones. Conclusions The evaluation emphasizes the need for regular supervision for both systems and rigorous and ongoing assessments of data quality for the paper system. Formalization of a mHealth M&E system for PHC outreach teams delivering community based services could offer greater accuracy of M&E and enhance supervision systems for CHWs. PMID:25106499
Ibrahim, Abdulrasheed; Delia, Ibrahim Z; Edaigbini, Sunday A; Abubakar, Amina; Dahiru, Ismail L; Lawal, Zakari Y
2013-01-01
Background: The transformation of a surgical trainee into a surgeon is strongly influenced by the quality of teaching in the operating theater. This study investigates the perceptions of residents about the educational environment of the operating theater and identifies variables that may improve the operating theater education of our trainees. Materials and Methods: Residents in the department of surgery anonymously evaluated teaching in the operating room using the operating theater education environment measure. The residents evaluated 33 variables that might have an impact on their surgical skills within the operating theater. The variables were grouped into four subscales; teaching and training, learning opportunities, operating theater atmosphere and workload/supervision/support. Differences between male and female residents and junior and senior registrars were assessed using Mann-Whitney test. Statistical analysis was completed with the statistics package for the social sciences version 17. Results: A total of 33 residents were participated in this study. Twenty nine (88%) males and 4 (12%) females. 30 (90%) were junior registrars. The mean total score was 67.5%. Operating theater atmosphere subscale had the highest score of 79.2% while workload/supervision/support subscale had the least score of 48.3%. There were significant differences between male and female resident's perception of workload/supervision/support P < 0.05; however, there was no significant differences in junior registrar versus senior registrar's perception of the education environment in all the subscales P > 0.05. Conclusion: This study has shown a satisfactory teaching environment based on the existing local realities of means, resources and tools and highlighted the need for improvement in workload/supervision/support in our institution. An acceptable learning environment in the operating theatre will produce surgeons that are technically competent to bridge the gap in the enormous unmet need for surgical care in Nigeria. PMID:24497753
Dexter, Franklin; Ledolter, Johannes; Epstein, Richard H; Hindman, Bradley J
2017-04-01
Supervision of anesthesia residents and nurse anesthetists is a major responsibility of faculty anesthesiologists. The quality of their supervision can be assessed quantitatively by the anesthesia residents and nurse anesthetists. Supervision scores are an independent measure of the contribution of the anesthesiologist to patient care. We evaluated the association between quality of supervision and level of specialization of anesthesiologists. We used two 6-month periods, one with no feedback to anesthesiologists of the residents' and nurse anesthetists' evaluations, and the other with feedback. Supervision scores provided by residents and nurse anesthetists were considered separately. Sample sizes among the 4 combinations ranged from n = 51 to n = 62 University of Iowa faculty. For each supervising anesthesiologist and 6-month period, we calculated the proportion of anesthetic cases attributable to each anesthesia Current Procedural Terminology code. The sum of the square of the proportions, a measurement of diversity, is known as the Herfindahl index. The inverse of this index represents the effective number of common procedures. The diversity (degree of specialization) of each faculty anesthesiologist was measured attributing each case to: (1) the anesthesiologist who supervised for the longest total period of time, (2) the anesthesiologist who started the case, or (3) the anesthesiologist who started the case, limited to cases started during "regular hours" (defined as nonholiday Monday to Friday, 07:00 AM to 02:59 PM). Inferential analysis was performed using bivariate-weighted least-squares regression. The point estimates of all 12 slopes were in the direction of greater specialization of practice of the evaluated faculty anesthesiologist being associated with significantly lower supervision scores. Among supervision scores provided by nurse anesthetists, the association was statistically significant for the third of the 6-month periods under the first and second ways of attributing the cases (uncorrected P < .0001). However, the slopes of the relationships were all small (eg, 0.109 ± 0.025 [SE] units on the 4-point supervision scale for a change of 10 common procedures). Among supervision scores provided by anesthesia residents, the association was statistically significant during the first period for all 3 ways of attributing the case (uncorrected P < .0001). However, again, the slopes were small (eg, 0.127 ± 0.027 units for a change of 10 common procedures). Greater clinical specialization of faculty anesthesiologists was not associated with meaningful improvements in quality of clinical supervision.
Holder and Topic Based Analysis of Emotions on Blog Texts: A Case Study for Bengali
NASA Astrophysics Data System (ADS)
Das, Dipankar; Bandyopadhyay, Sivaji
The paper presents an extended approach of analyzing emotions of the blog users on different topics. The rule based techniques to identify emotion holders and topics with respect to their corresponding emotional expressions helps to develop the baseline system. On the other hand, the Support Vector Machine (SVM) based supervised framework identifies the holders, topics and emotional expressions from the blog sentences by outperforming the baseline system. The existence of many to many relations between the holders and the topics with respect to Ekman's six different emotion classes has been examined using two way evaluation techniques, one is with respect to holder and other is from the perspective of topic. The results of the system were found satisfactory in comparison with the agreement of the subjective annotation. The error analysis shows that the topic of a blog at document level is not always conveyed at the sentence level. Moreover, the difficulty in identifying topic from a blog document is due to the problem of identifying some features like bigrams, Named Entities and sentiment. Thus, we employed a semantic clustering approach along with these features to identify the similarity between document level topic and sentential topic as well as to improve the results of identifying the document level topic.
White, Edward
2017-02-01
The historical development of clinical supervision has been variously interpreted in the international literature. Creditable evidence has accumulated, particularly over the past two decades, to show that clinical supervision has a positive demonstrable effect on supervisees. However, comparatively little research evidence has entered the public domain on any effect that clinical supervision might have on other nominated outcomes. In Australia, developments in clinical supervision were recently prompted by initiatives at national and state levels. Since 2010, lead agencies for these have sought feedback from professional bodies and organizations on a number of inter-related draft policy documents. The present article tracked changes over time between the draft and final versions of these documents in New South Wales, and reviewed the original sources of literature cited within them. The strength of evidence upon which the final published versions were reportedly predicated was scrutinized. Upon examination, claims to the wider benefits of clinical supervision were found to be unconvincingly supported, not least because the examples selected by the agencies from the international literature and cited in their respective documents were either silent, parsimonious, or contradictory. Many claims remain at the level of folklore/hypothetical propositions, therefore, and stay worthy of rigorous empirical testing and faithful public reporting. Such investigations have been acknowledged as notoriously difficult to conduct. The present article identified noteworthy examples in the contemporary literature that signpost robust ways forward for empirical outcomes-orientated research, the findings from which might strengthen the evidence base of future policy documents. © 2017 Australian College of Mental Health Nurses Inc.
Using simulation pedagogy to teach clinical education skills: A randomized trial.
Holdsworth, Clare; Skinner, Elizabeth H; Delany, Clare M
2016-05-01
Supervision of students is a key role of senior physiotherapy clinicians in teaching hospitals. The objective of this study was to test the effect of simulated learning environments (SLE) on educators' self-efficacy in student supervision skills. A pilot prospective randomized controlled trial with concealed allocation was conducted. Clinical educators were randomized to intervention (SLE) or control groups. SLE participants completed two 3-hour workshops, which included simulated clinical teaching scenarios, and facilitated debrief. Standard Education (StEd) participants completed two online learning modules. Change in educator clinical supervision self-efficacy (SE) and student perceptions of supervisor skill were calculated. Between-group comparisons of SE change scores were analyzed with independent t-tests to account for potential baseline differences in education experience. Eighteen educators (n = 18) were recruited (SLE [n = 10], StEd [n = 8]). Significant improvements in SE change scores were seen in SLE participants compared to control participants in three domains of self-efficacy: (1) talking to students about supervision and learning styles (p = 0.01); (2) adapting teaching styles for students' individual needs (p = 0.02); and (3) identifying strategies for future practice while supervising students (p = 0.02). This is the first study investigating SLE for teaching skills of clinical education. SLE improved educators' self-efficacy in three domains of clinical education. Sample size limited the interpretation of student ratings of educator supervision skills. Future studies using SLE would benefit from future large multicenter trials evaluating its effect on educators' teaching skills, student learning outcomes, and subsequent effects on patient care and health outcomes.
Motivation of health surveillance assistants in Malawi: A qualitative study.
Chikaphupha, Kingsley R; Kok, Maryse C; Nyirenda, Lot; Namakhoma, Ireen; Theobald, Sally
2016-06-01
Motivation of health workers is a critical component of performance and is shaped by multiple factors. This study explored factors that influence motivation of health surveillance assistants (HSAs) in Malawi, with the aim of identifying interventions that can be applied to enhance motivation and performance of HSAs. A qualitative study capturing the perspectives of purposively selected participants was conducted in two districts: Salima and Mchinji. Participants included HSAs, health managers, and various community members. Data were collected through focus group discussions (n = 16) and in-depth interviews (n = 44). The study sample was comprised of 112 women and 65 men. Qualitative data analysis was informed by existing frameworks on factors influencing health worker motivation. Our analysis identified five key themes shaping HSA motivation: salary, accommodation, human resource management, supplies and logistics, and community links. Each of these played out at different levels-individual, family, community, and organisational-with either positive or negative effects. Demotivating factors related primarily to the organisational level, while motivating factors were more often related to individual, family, and community levels. A lack of financial incentives and shortages of basic supplies and materials were key factors demotivating HSAs. Supervision was generally perceived as unsupportive, uncoordinated, and top-down. Most HSAs complained of heavy workload. Many HSAs felt further recognition and support from the Ministry of Health, and the development of a clear career pathway would improve their motivation. Factors shaping motivation of HSAs are complex and multilayered; experiences at one level will impact other levels. Interventions are required to enhance HSA motivation, including strengthening the supervision system, developing career progression pathways, and ensuring clear and transparent incentives. HSAs have unique experiences, and there is need to hear and address these to better enable HSAs to cope with the challenging conditions they work in.
Fu, Haiyan; Fan, Yao; Zhang, Xu; Lan, Hanyue; Yang, Tianming; Shao, Mei; Li, Sihan
2015-01-01
As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information of Hibiscus mutabilis L. and Berberidis radix, two common kinds of herbal medicines. By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. Most important, this pattern recognition method by HPLC and NIR can be used to identify different collection parts, collection time, and different origins or various species belonging to the same genera of herbal medicines which proved to be a promising approach for the identification of complex information of herbal medicines. PMID:26345990
The Quality of an Action Research Thesis in the Social Sciences
ERIC Educational Resources Information Center
Zuber-Skerrit, Ortrun; Fletcher, Margaret
2007-01-01
Purpose: The paper seeks to identify the quality characteristics of critical action research and action research theses compared to traditional research thesis writing. Design/methodology/approach: Drawing on the literature and the authors' experience with supervising and examining action research theses, the paper identifies key problem areas in…
Chapter 9. Managing Occupational Stress for Group Care Personnel
ERIC Educational Resources Information Center
Mattingly, Martha A.
2006-01-01
Traditional clinical professions, as well as the emerging child and youth care profession, have focused primarily on the welfare of identified clients. While the personal and professional well-being of practitioners has long been addressed in the training and supervision of human service workers, serious efforts to identify problems confronting…
A Descriptive Study of Differing School Health Delivery Models
ERIC Educational Resources Information Center
Becker, Sherri I.; Maughan, Erin
2017-01-01
The purpose of this exploratory qualitative study was to identify and describe emerging models of school health services. Participants (N = 11) provided information regarding their models in semistructured phone interviews. Results identified a variety of funding sources as well as different staffing configurations and supervision. Strengths of…
Bagur, M G; Morales, S; López-Chicano, M
2009-11-15
Unsupervised and supervised pattern recognition techniques such as hierarchical cluster analysis, principal component analysis, factor analysis and linear discriminant analysis have been applied to water samples recollected in Rodalquilar mining district (Southern Spain) in order to identify different sources of environmental pollution caused by the abandoned mining industry. The effect of the mining activity on waters was monitored determining the concentration of eleven elements (Mn, Ba, Co, Cu, Zn, As, Cd, Sb, Hg, Au and Pb) by inductively coupled plasma mass spectrometry (ICP-MS). The Box-Cox transformation has been used to transform the data set in normal form in order to minimize the non-normal distribution of the geochemical data. The environmental impact is affected mainly by the mining activity developed in the zone, the acid drainage and finally by the chemical treatment used for the benefit of gold.
Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions.
Zakrzewski, Martha; Proietti, Carla; Ellis, Jonathan J; Hasan, Shihab; Brion, Marie-Jo; Berger, Bernard; Krause, Lutz
2017-03-01
Calypso is an easy-to-use online software suite that allows non-expert users to mine, interpret and compare taxonomic information from metagenomic or 16S rDNA datasets. Calypso has a focus on multivariate statistical approaches that can identify complex environment-microbiome associations. The software enables quantitative visualizations, statistical testing, multivariate analysis, supervised learning, factor analysis, multivariable regression, network analysis and diversity estimates. Comprehensive help pages, tutorials and videos are provided via a wiki page. The web-interface is accessible via http://cgenome.net/calypso/ . The software is programmed in Java, PERL and R and the source code is available from Zenodo ( https://zenodo.org/record/50931 ). The software is freely available for non-commercial users. l.krause@uq.edu.au. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.
Identifying the latent failures underpinning medication administration errors: an exploratory study.
Lawton, Rebecca; Carruthers, Sam; Gardner, Peter; Wright, John; McEachan, Rosie R C
2012-08-01
The primary aim of this article was to identify the latent failures that are perceived to underpin medication errors. The study was conducted within three medical wards in a hospital in the United Kingdom. The study employed a cross-sectional qualitative design. Interviews were conducted with 12 nurses and eight managers. Interviews were transcribed and subject to thematic content analysis. A two-step inter-rater comparison tested the reliability of the themes. Ten latent failures were identified based on the analysis of the interviews. These were ward climate, local working environment, workload, human resources, team communication, routine procedures, bed management, written policies and procedures, supervision and leadership, and training. The discussion focuses on ward climate, the most prevalent theme, which is conceptualized here as interacting with failures in the nine other organizational structures and processes. This study is the first of its kind to identify the latent failures perceived to underpin medication errors in a systematic way. The findings can be used as a platform for researchers to test the impact of organization-level patient safety interventions and to design proactive error management tools and incident reporting systems in hospitals. © Health Research and Educational Trust.
Machine learning applications in genetics and genomics.
Libbrecht, Maxwell W; Noble, William Stafford
2015-06-01
The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets. Here, we provide an overview of machine learning applications for the analysis of genome sequencing data sets, including the annotation of sequence elements and epigenetic, proteomic or metabolomic data. We present considerations and recurrent challenges in the application of supervised, semi-supervised and unsupervised machine learning methods, as well as of generative and discriminative modelling approaches. We provide general guidelines to assist in the selection of these machine learning methods and their practical application for the analysis of genetic and genomic data sets.
A Framework for Sentiment Analysis Implementation of Indonesian Language Tweet on Twitter
NASA Astrophysics Data System (ADS)
Asniar; Aditya, B. R.
2017-01-01
Sentiment analysis is the process of understanding, extracting, and processing the textual data automatically to obtain information. Sentiment analysis can be used to see opinion on an issue and identify a response to something. Millions of digital data are still not used to be able to provide any information that has usefulness, especially for government. Sentiment analysis in government is used to monitor the work programs of the government such as the Government of Bandung City through social media data. The analysis can be used quickly as a tool to see the public response to the work programs, so the next strategic steps can be taken. This paper adopts Support Vector Machine as a supervised algorithm for sentiment analysis. It presents a framework for sentiment analysis implementation of Indonesian language tweet on twitter for Work Programs of Government of Bandung City. The results of this paper can be a reference for decision making in local government.
ERIC Educational Resources Information Center
Kandiko, Camille B.; Kinchin, Ian M.
2012-01-01
Background: Concept-mapping and interview techniques are used to track knowledge and understanding over the duration of PhD study amongst four students and their supervisors in the course of full-time research towards their PhDs. This work is in contrast to much PhD supervision research and policy research that focuses on supervisory styles and…
Cropsey, Karen L; Clark, C Brendan; Stevens, Erin N; Schiavon, Samantha; Lahti, Adrienne C; Hendricks, Peter S
2017-02-01
Individuals in the U.S. criminal justice system now represent over 12% of all current U.S. smokers. With smoking banned in most U.S. jails and prisons, the cessation focus for this population has shifted to individuals who are under community correction supervision (e.g., probation, parole). The aim of this study was to examine predictors of successful smoking cessation among criminal justice individuals supervised in the community. Five hundred participants under community corrections supervision were randomized to receive either four sessions of smoking cessation counseling or no counseling in conjunction with 12weeks of bupropion treatment plus brief physician advice to quit. Logistic regression analyses examined associations of smoking variables with medication adherence and successful abstinence. Mediation analysis evaluated the indirect effects of medication adherence on smoking abstinence. The strongest associate of medication adherence was previous use of bupropion, while the strongest associate of smoking abstinence was medication adherence. Mediation analysis indicated that previous use of bupropion indirectly increased cessation rates through the pathway of increased medication adherence. These results highlight the importance of medication adherence for smoking cessation among community corrections smokers. Providing exposure to medication may be a promising intervention to increase medication adherence and subsequent cessation rates in this population. Copyright © 2016 Elsevier Ltd. All rights reserved.
Semi-supervised learning for ordinal Kernel Discriminant Analysis.
Pérez-Ortiz, M; Gutiérrez, P A; Carbonero-Ruz, M; Hervás-Martínez, C
2016-12-01
Ordinal classification considers those classification problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or difficult to obtain in this type of problems because, in many cases, ordinal labels are given by a user or expert (e.g. in recommendation systems). Firstly, this paper develops a new strategy for ordinal classification where both labelled and unlabelled data are used in the model construction step (a scheme which is referred to as semi-supervised learning). More specifically, the ordinal version of kernel discriminant learning is extended for this setting considering the neighbourhood information of unlabelled data, which is proposed to be computed in the feature space induced by the kernel function. Secondly, a new method for semi-supervised kernel learning is devised in the context of ordinal classification, which is combined with our developed classification strategy to optimise the kernel parameters. The experiments conducted compare 6 different approaches for semi-supervised learning in the context of ordinal classification in a battery of 30 datasets, showing (1) the good synergy of the ordinal version of discriminant analysis and the use of unlabelled data and (2) the advantage of computing distances in the feature space induced by the kernel function. Copyright © 2016 Elsevier Ltd. All rights reserved.
Rakovshik, Sarah G; McManus, Freda; Vazquez-Montes, Maria; Muse, Kate; Ougrin, Dennis
2016-03-01
To investigate the effect of Internet-based training (IBT), with and without supervision, on therapists' (N = 61) cognitive-behavioral therapy (CBT) skills in routine clinical practice. Participants were randomized into 3 conditions: (1) Internet-based training with use of a consultation worksheet (IBT-CW); (2) Internet-based training with CBT supervision via Skype (IBT-S); and (3) "delayed-training" controls (DTs), who did not receive the training until all data collection was completed. The IBT participants received access to training over a period of 3 months. CBT skills were evaluated at pre-, mid- and posttraining/wait using assessor competence ratings of recorded therapy sessions. Hierarchical linear analysis revealed that the IBT-S participants had significantly greater CBT competence at posttraining than did IBT-CW and DT participants at both the mid- and posttraining/wait assessment points. There were no significant differences between IBT-CW and the delayed (no)-training DTs. IBT programs that include supervision may be a scalable and effective method of disseminating CBT into routine clinical practice, particularly for populations without ready access to more-traditional "live" methods of training. There was no evidence for a significant effect of IBT without supervision over a nontraining control, suggesting that merely providing access to IBT programs may not be an effective method of disseminating CBT to routine clinical practice. (c) 2016 APA, all rights reserved).
Li, Su-Ting T; Tancredi, Daniel J; Schwartz, Alan; Guillot, Ann; Burke, Ann E; Trimm, R Franklin; Guralnick, Susan; Mahan, John D; Gifford, Kimberly
2018-04-25
The Accreditation Council for Graduate Medical Education requires semiannual Milestone reporting on all residents. Milestone expectations of performance are unknown. Determine pediatric program director (PD) minimum Milestone expectations for residents prior to being ready to supervise and prior to being ready to graduate. Mixed methods survey of pediatric PDs on their programs' Milestone expectations before residents are ready to supervise and before they are ready to graduate, and in what ways PDs use Milestones to make supervision and graduation decisions. If programs had no established Milestone expectations, PDs indicated expectations they considered for use in their program. Mean minimum Milestone level expectations adjusted for program size, region, and clustering of Milestone expectations by program were calculated for prior to supervise and prior to graduate. Free-text questions were analyzed using thematic analysis. The response rate was 56.8% (113/199). Most programs had no required minimum Milestone level before residents are ready to supervise (80%; 76/95) or ready to graduate (84%; 80/95). For readiness to supervise, minimum Milestone expectations PDs considered establishing for their program were highest for humanism (2.46, 95% CI: 2.21-2.71) and professionalization (2.37, 2.15-2.60). Minimum Milestone expectations for graduates were highest for help-seeking (3.14, 2.83-3.46). Main themes included the use of Milestones in combination with other information to assess learner performance and Milestones are not equally weighted when making advancement decisions. Most PDs have not established program minimum Milestones, but would vary such expectations by competency. Copyright © 2018. Published by Elsevier Inc.
Saad, Mohamed N.; Mabrouk, Mai S.; Eldeib, Ayman M.; Shaker, Olfat G.
2015-01-01
Genetics of autoimmune diseases represent a growing domain with surpassing biomarker results with rapid progress. The exact cause of Rheumatoid Arthritis (RA) is unknown, but it is thought to have both a genetic and an environmental bases. Genetic biomarkers are capable of changing the supervision of RA by allowing not only the detection of susceptible individuals, but also early diagnosis, evaluation of disease severity, selection of therapy, and monitoring of response to therapy. This review is concerned with not only the genetic biomarkers of RA but also the methods of identifying them. Many of the identified genetic biomarkers of RA were identified in populations of European and Asian ancestries. The study of additional human populations may yield novel results. Most of the researchers in the field of identifying RA biomarkers use single nucleotide polymorphism (SNP) approaches to express the significance of their results. Although, haplotype block methods are expected to play a complementary role in the future of that field. PMID:26843965
Optimizing area under the ROC curve using semi-supervised learning
Wang, Shijun; Li, Diana; Petrick, Nicholas; Sahiner, Berkman; Linguraru, Marius George; Summers, Ronald M.
2014-01-01
Receiver operating characteristic (ROC) analysis is a standard methodology to evaluate the performance of a binary classification system. The area under the ROC curve (AUC) is a performance metric that summarizes how well a classifier separates two classes. Traditional AUC optimization techniques are supervised learning methods that utilize only labeled data (i.e., the true class is known for all data) to train the classifiers. In this work, inspired by semi-supervised and transductive learning, we propose two new AUC optimization algorithms hereby referred to as semi-supervised learning receiver operating characteristic (SSLROC) algorithms, which utilize unlabeled test samples in classifier training to maximize AUC. Unlabeled samples are incorporated into the AUC optimization process, and their ranking relationships to labeled positive and negative training samples are considered as optimization constraints. The introduced test samples will cause the learned decision boundary in a multidimensional feature space to adapt not only to the distribution of labeled training data, but also to the distribution of unlabeled test data. We formulate the semi-supervised AUC optimization problem as a semi-definite programming problem based on the margin maximization theory. The proposed methods SSLROC1 (1-norm) and SSLROC2 (2-norm) were evaluated using 34 (determined by power analysis) randomly selected datasets from the University of California, Irvine machine learning repository. Wilcoxon signed rank tests showed that the proposed methods achieved significant improvement compared with state-of-the-art methods. The proposed methods were also applied to a CT colonography dataset for colonic polyp classification and showed promising results.1 PMID:25395692
Optimizing area under the ROC curve using semi-supervised learning.
Wang, Shijun; Li, Diana; Petrick, Nicholas; Sahiner, Berkman; Linguraru, Marius George; Summers, Ronald M
2015-01-01
Receiver operating characteristic (ROC) analysis is a standard methodology to evaluate the performance of a binary classification system. The area under the ROC curve (AUC) is a performance metric that summarizes how well a classifier separates two classes. Traditional AUC optimization techniques are supervised learning methods that utilize only labeled data (i.e., the true class is known for all data) to train the classifiers. In this work, inspired by semi-supervised and transductive learning, we propose two new AUC optimization algorithms hereby referred to as semi-supervised learning receiver operating characteristic (SSLROC) algorithms, which utilize unlabeled test samples in classifier training to maximize AUC. Unlabeled samples are incorporated into the AUC optimization process, and their ranking relationships to labeled positive and negative training samples are considered as optimization constraints. The introduced test samples will cause the learned decision boundary in a multidimensional feature space to adapt not only to the distribution of labeled training data, but also to the distribution of unlabeled test data. We formulate the semi-supervised AUC optimization problem as a semi-definite programming problem based on the margin maximization theory. The proposed methods SSLROC1 (1-norm) and SSLROC2 (2-norm) were evaluated using 34 (determined by power analysis) randomly selected datasets from the University of California, Irvine machine learning repository. Wilcoxon signed rank tests showed that the proposed methods achieved significant improvement compared with state-of-the-art methods. The proposed methods were also applied to a CT colonography dataset for colonic polyp classification and showed promising results.
Shea, Sarah E; Goldberg, Sheryl; Weatherston, Deborah J
2016-11-01
The Michigan Association for Infant Mental Health identified a need for reflective supervision training for infant mental health (IMH) specialists providing home-based services to highly vulnerable infants and their families. Findings indicate that this pilot of an IMH community mental health professional development model was successful, as measured by the participants' increased capacity to apply reflective practice and supervisory knowledge and skills. Furthermore, IMH clinicians demonstrated an increase in the frequency of their use of reflective practice skills, and their supervisors demonstrated an increase in their sense of self-efficacy regarding reflective supervisory tasks. Finally, the evaluation included a successful pilot of new measures designed to measure reflective practice, contributing to the growing body of research in the area of reflective supervision. © 2016 Michigan Association for Infant Mental Health.
Firth, Joseph; Stubbs, Brendon; Rosenbaum, Simon; Vancampfort, Davy; Malchow, Berend; Schuch, Felipe; Elliott, Rebecca; Nuechterlein, Keith H; Yung, Alison R
2017-05-01
Cognitive deficits are pervasive among people with schizophrenia and treatment options are limited. There has been an increased interest in the neurocognitive benefits of exercise, but a comprehensive evaluation of studies to date is lacking. We therefore conducted a meta-analysis of all controlled trials investigating the cognitive outcomes of exercise interventions in schizophrenia. Studies were identified from a systematic search across major electronic databases from inception to April 2016. Meta-analyses were used to calculate pooled effect sizes (Hedges g) and 95% CIs. We identified 10 eligible trials with cognitive outcome data for 385 patients with schizophrenia. Exercise significantly improved global cognition (g = 0.33, 95% CI = 0.13-0.53, P = .001) with no statistical heterogeneity (I2 = 0%). The effect size in the 7 studies which were randomized controlled trials was g = 0.43 (P < .001). Meta-regression analyses indicated that greater amounts of exercise are associated with larger improvements in global cognition (β = .005, P = .065). Interventions which were supervised by physical activity professionals were also more effective (g = 0.47, P < .001). Exercise significantly improved the cognitive domains of working memory (g = 0.39, P = .024, N = 7, n = 282), social cognition (g = 0.71, P = .002, N = 3, n = 81), and attention/vigilance (g = 0.66, P = .005, N = 3, n = 104). Effects on processing speed, verbal memory, visual memory and reasoning and problem solving were not significant. This meta-analysis provides evidence that exercise can improve cognitive functioning among people with schizophrenia, particularly from interventions using higher dosages of exercise. Given the challenges in improving cognition, and the wider health benefits of exercise, a greater focus on providing supervised exercise to people with schizophrenia is needed. © The Author 2016. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.
Liu, Xiao; Shi, Jun; Zhou, Shichong; Lu, Minhua
2014-01-01
The dimensionality reduction is an important step in ultrasound image based computer-aided diagnosis (CAD) for breast cancer. A newly proposed l2,1 regularized correntropy algorithm for robust feature selection (CRFS) has achieved good performance for noise corrupted data. Therefore, it has the potential to reduce the dimensions of ultrasound image features. However, in clinical practice, the collection of labeled instances is usually expensive and time costing, while it is relatively easy to acquire the unlabeled or undetermined instances. Therefore, the semi-supervised learning is very suitable for clinical CAD. The iterated Laplacian regularization (Iter-LR) is a new regularization method, which has been proved to outperform the traditional graph Laplacian regularization in semi-supervised classification and ranking. In this study, to augment the classification accuracy of the breast ultrasound CAD based on texture feature, we propose an Iter-LR-based semi-supervised CRFS (Iter-LR-CRFS) algorithm, and then apply it to reduce the feature dimensions of ultrasound images for breast CAD. We compared the Iter-LR-CRFS with LR-CRFS, original supervised CRFS, and principal component analysis. The experimental results indicate that the proposed Iter-LR-CRFS significantly outperforms all other algorithms.
Bulman, C; Forde-Johnson, C; Griffiths, A; Hallworth, S; Kerry, A; Khan, S; Mills, K; Sharp, P
2016-10-01
This action research study developed the use of peer reflective supervision (PRS) amongst eight nurse educators contributing to an undergraduate Adult Nursing programme at a UK University. During the academic year (2013-14), nurse educator co-researchers met for an introductory workshop and then met regularly in pairs to facilitate each other's reflection. This provided an opportunity for nurse educators to reflect on identified issues linked to their role with a facilitative peer. Educators met three additional times in a Reflexive Learning Group (RLG), to gather data on their use of PRS. Audio-recordings from the RLGs were transcribed and analysed using Norton's (2009) thematic analysis framework. Co-researchers iteratively validated the data and an external validation group critically viewed the evidence. Overall, seven themes were generated from the three research cycles. These were: PRS as a Valuable Affirming Experience; Time Issues; Facilitation- Support, Trust and Challenge; Developing a Flexible 'Toolbox'; To Write or Not to Write; Drawing on Literature; and Requirement for Action. Findings add new evidence regarding use of a flexible toolbox of resources to develop reflection and offer practical guidance on the development of PRS. Nurse educators often experienced similar concerns, and a facilitative supervision structure allowed co-researchers to positively explore these. Recognition of work pressures and requirement for time and space for reflection was highlighted, particularly regarding writing, and exploring the literature, to develop critical analysis of experiences. The importance of action as part of the reflective process was emphasised. Co-researchers reported positive personal change as well as the opportunity to highlight issues through their reflection for further action within the organisation. The study adds constructive evidence for the use of reflection to explore professional work, make sense of experiences and develop positive action. It has transferability to a wider international audience interested in the development of reflection amongst colleagues and the use of insider research techniques to challenge and develop practice. Copyright © 2016 Elsevier Ltd. All rights reserved.
Browning, Mark; Pront, Leeanne
2015-06-01
The responsibility for clinical supervision is recognised by both the nursing literature and the Australian Nursing and Midwifery Council, through an expectation that RNs will provide support and facilitate student learning in the clinical environment (Atack et al., 2000; Gray and Smith, 2000; Brammer, 2005; Australian Nursing and Midwifery Council, 2006; Hallin and Danielson, 2008). RNs identify with and acknowledge the need for the supervisory role and are willing participants however, request strategies to guide and support students in the clinical environment (Bourbonnais and Kerr, 2007; Hallin and Danielson, 2008). The aim of this study was to provide a means of support to clinical supervisors of nursing students through a computer-based clinical supervisor educational package (CSEP) and to test the effectiveness of the CSEP. The effectiveness of the CSEP was determined by a pre-test-post-test evaluation sheet that included open and Likert scale questions. 4 regional hospitals in South Australia, Australia. 28 participants completed the questionnaire on their experience with the CSEP. Analysis of quantitative data utilised non-parametric testing with SPSS version 20. A Wilcoxon Signed Rank Test was performed on the Likert scale questions to establish any significant difference between the pre- and post-tests. The responses to the open-ended questions were thematically analysed separately by the two authors. The themes were then amalgamated. The results were then compared to find similarities or differences. The CSEP is an effective education package in promoting increased preparedness to supervise and increased confidence to promote learning. Copyright © 2015 Elsevier Ltd. All rights reserved.
The nature and structure of supervision in health visiting with victims of child sexual abuse.
Scott, L
1999-03-01
Part of a higher research degree to explore professional practice. To explore how health visitors work with victims of child sexual abuse and the supervision systems to support them. To seek the views and experiences of practising health visitors relating to complex care in order to consider the nature and structure of supervision. The research reported in this paper used a qualitative method of research and semi-structured interviews with practising health visitors of varying levels of experience in venues around England. Qualitative research enabled the exploration of experiences. Identification of the need for regular, structured, accountable opportunities in a 'private setting' to discuss whole caseload work and current practice issues. Supervision requires a structured, formalized process, in both regularity and content, as a means to explore and acknowledge work with increasingly complex care, to enable full discussion of whole caseloads. Supervision is demonstrated as a vehicle to enable the sharing of good practices and for weak practices to be identified and managed appropriately. Supervision seeks to fulfil the above whilst promoting a stimulating, learning experience, accommodating the notion that individuals learn at their own pace and bring a wealth of human experience to the service. The size of the study was dictated by the amount of time available within which to complete a research master's degree course primarily in the author's own time, over a 2-year period. The majority of participants volunteered their accounts in their own time. For others I obtained permission from their employers for them to participate once they approached me with an interest in being interviewed. This research provides a model of supervision based on practitioner views and experiences. The article highlights the value of research and evidence-based information to enhance practice accountability and the quality of care. Proactive risk management can safeguard the health and safety of the public, the practitioner and the organization.
Pant Pai, Nitika; Sharma, Jigyasa; Shivkumar, Sushmita; Pillay, Sabrina; Vadnais, Caroline; Joseph, Lawrence; Dheda, Keertan; Peeling, Rosanna W.
2013-01-01
Background Stigma, discrimination, lack of privacy, and long waiting times partly explain why six out of ten individuals living with HIV do not access facility-based testing. By circumventing these barriers, self-testing offers potential for more people to know their sero-status. Recent approval of an in-home HIV self test in the US has sparked self-testing initiatives, yet data on acceptability, feasibility, and linkages to care are limited. We systematically reviewed evidence on supervised (self-testing and counselling aided by a health care professional) and unsupervised (performed by self-tester with access to phone/internet counselling) self-testing strategies. Methods and Findings Seven databases (Medline [via PubMed], Biosis, PsycINFO, Cinahl, African Medicus, LILACS, and EMBASE) and conference abstracts of six major HIV/sexually transmitted infections conferences were searched from 1st January 2000–30th October 2012. 1,221 citations were identified and 21 studies included for review. Seven studies evaluated an unsupervised strategy and 14 evaluated a supervised strategy. For both strategies, data on acceptability (range: 74%–96%), preference (range: 61%–91%), and partner self-testing (range: 80%–97%) were high. A high specificity (range: 99.8%–100%) was observed for both strategies, while a lower sensitivity was reported in the unsupervised (range: 92.9%–100%; one study) versus supervised (range: 97.4%–97.9%; three studies) strategy. Regarding feasibility of linkage to counselling and care, 96% (n = 102/106) of individuals testing positive for HIV stated they would seek post-test counselling (unsupervised strategy, one study). No extreme adverse events were noted. The majority of data (n = 11,019/12,402 individuals, 89%) were from high-income settings and 71% (n = 15/21) of studies were cross-sectional in design, thus limiting our analysis. Conclusions Both supervised and unsupervised testing strategies were highly acceptable, preferred, and more likely to result in partner self-testing. However, no studies evaluated post-test linkage with counselling and treatment outcomes and reporting quality was poor. Thus, controlled trials of high quality from diverse settings are warranted to confirm and extend these findings. Please see later in the article for the Editors' Summary PMID:23565066
Snow mapping and land use studies in Switzerland
NASA Technical Reports Server (NTRS)
Haefner, H. (Principal Investigator)
1977-01-01
The author has identified the following significant results. A system was developed for operational snow and land use mapping, based on a supervised classification method using various classification algorithms and representation of the results in maplike form on color film with a photomation system. Land use mapping, under European conditions, was achieved with a stepwise linear discriminant analysis by using additional ratio variables. On fall images, signatures of built-up areas were often not separable from wetlands. Two different methods were tested to correlate the size of settlements and the population with an accuracy for the densely populated Swiss Plateau between +2 or -12%.
Predictors of Dropout in Psychodynamic Psychotherapy of Borderline Personality Disorder
SMITH, THOMAS E.; KOENIGSBERG, HAROLD W.; YEOMANS, FRANK E.; CLARKIN, JOHN F.; SELZER, MICHAEL A.
1995-01-01
This study aimed to identify patient factors that predict early dropout from psychodynamic psychotherapy for borderline personality disorder (BPD). Thirty-six BPD patients began an open-ended course of twice per week psychodynamic psychotherapy that was defined in a treatment manual and supervised. Dropout rates were 31% and 36% at 3 and 6 months of therapy, respectively. Survival analysis techniques demonstrated that age and hostility ratings predicted early dropout, with continuers more likely to be older and expressing lower levels of hostility than dropouts. Many variables hypothesized to predict dropout failed to do so. Both the positive and negative findings are discussed relative to the literature. PMID:22700251
Augmenting the decomposition of EMG signals using supervised feature extraction techniques.
Parsaei, Hossein; Gangeh, Mehrdad J; Stashuk, Daniel W; Kamel, Mohamed S
2012-01-01
Electromyographic (EMG) signal decomposition is the process of resolving an EMG signal into its constituent motor unit potential trains (MUPTs). In this work, the possibility of improving the decomposing results using two supervised feature extraction methods, i.e., Fisher discriminant analysis (FDA) and supervised principal component analysis (SPCA), is explored. Using the MUP labels provided by a decomposition-based quantitative EMG system as a training data for FDA and SPCA, the MUPs are transformed into a new feature space such that the MUPs of a single MU become as close as possible to each other while those created by different MUs become as far as possible. The MUPs are then reclassified using a certainty-based classification algorithm. Evaluation results using 10 simulated EMG signals comprised of 3-11 MUPTs demonstrate that FDA and SPCA on average improve the decomposition accuracy by 6%. The improvement for the most difficult-to-decompose signal is about 12%, which shows the proposed approach is most beneficial in the decomposition of more complex signals.
Semi-supervised anomaly detection - towards model-independent searches of new physics
NASA Astrophysics Data System (ADS)
Kuusela, Mikael; Vatanen, Tommi; Malmi, Eric; Raiko, Tapani; Aaltonen, Timo; Nagai, Yoshikazu
2012-06-01
Most classification algorithms used in high energy physics fall under the category of supervised machine learning. Such methods require a training set containing both signal and background events and are prone to classification errors should this training data be systematically inaccurate for example due to the assumed MC model. To complement such model-dependent searches, we propose an algorithm based on semi-supervised anomaly detection techniques, which does not require a MC training sample for the signal data. We first model the background using a multivariate Gaussian mixture model. We then search for deviations from this model by fitting to the observations a mixture of the background model and a number of additional Gaussians. This allows us to perform pattern recognition of any anomalous excess over the background. We show by a comparison to neural network classifiers that such an approach is a lot more robust against misspecification of the signal MC than supervised classification. In cases where there is an unexpected signal, a neural network might fail to correctly identify it, while anomaly detection does not suffer from such a limitation. On the other hand, when there are no systematic errors in the training data, both methods perform comparably.
Active learning for semi-supervised clustering based on locally linear propagation reconstruction.
Chang, Chin-Chun; Lin, Po-Yi
2015-03-01
The success of semi-supervised clustering relies on the effectiveness of side information. To get effective side information, a new active learner learning pairwise constraints known as must-link and cannot-link constraints is proposed in this paper. Three novel techniques are developed for learning effective pairwise constraints. The first technique is used to identify samples less important to cluster structures. This technique makes use of a kernel version of locally linear embedding for manifold learning. Samples neither important to locally linear propagation reconstructions of other samples nor on flat patches in the learned manifold are regarded as unimportant samples. The second is a novel criterion for query selection. This criterion considers not only the importance of a sample to expanding the space coverage of the learned samples but also the expected number of queries needed to learn the sample. To facilitate semi-supervised clustering, the third technique yields inferred must-links for passing information about flat patches in the learned manifold to semi-supervised clustering algorithms. Experimental results have shown that the learned pairwise constraints can capture the underlying cluster structures and proven the feasibility of the proposed approach. Copyright © 2014 Elsevier Ltd. All rights reserved.
IMMAN: free software for information theory-based chemometric analysis.
Urias, Ricardo W Pino; Barigye, Stephen J; Marrero-Ponce, Yovani; García-Jacas, César R; Valdes-Martiní, José R; Perez-Gimenez, Facundo
2015-05-01
The features and theoretical background of a new and free computational program for chemometric analysis denominated IMMAN (acronym for Information theory-based CheMoMetrics ANalysis) are presented. This is multi-platform software developed in the Java programming language, designed with a remarkably user-friendly graphical interface for the computation of a collection of information-theoretic functions adapted for rank-based unsupervised and supervised feature selection tasks. A total of 20 feature selection parameters are presented, with the unsupervised and supervised frameworks represented by 10 approaches in each case. Several information-theoretic parameters traditionally used as molecular descriptors (MDs) are adapted for use as unsupervised rank-based feature selection methods. On the other hand, a generalization scheme for the previously defined differential Shannon's entropy is discussed, as well as the introduction of Jeffreys information measure for supervised feature selection. Moreover, well-known information-theoretic feature selection parameters, such as information gain, gain ratio, and symmetrical uncertainty are incorporated to the IMMAN software ( http://mobiosd-hub.com/imman-soft/ ), following an equal-interval discretization approach. IMMAN offers data pre-processing functionalities, such as missing values processing, dataset partitioning, and browsing. Moreover, single parameter or ensemble (multi-criteria) ranking options are provided. Consequently, this software is suitable for tasks like dimensionality reduction, feature ranking, as well as comparative diversity analysis of data matrices. Simple examples of applications performed with this program are presented. A comparative study between IMMAN and WEKA feature selection tools using the Arcene dataset was performed, demonstrating similar behavior. In addition, it is revealed that the use of IMMAN unsupervised feature selection methods improves the performance of both IMMAN and WEKA supervised algorithms. Graphic representation for Shannon's distribution of MD calculating software.
Fujita, Takaaki; Sato, Atsushi; Tsuchiya, Kenji; Ohashi, Takuro; Yamane, Kazuhiro; Yamamoto, Yuichi; Iokawa, Kazuaki; Ohira, Yoko; Otsuki, Koji; Tozato, Fusae
2017-12-01
This study aimed to elucidate the relationship between grooming performance of stroke patients and various motor and cognitive functions and to examine the cognitive and physical functional standards required for grooming independence. We retrospectively analyzed the data of 96 hospitalized patients with first stroke in a rehabilitation hospital ward. Logistic regression analysis and receiver operating characteristic curves were used to investigate the related cognitive and motor functions with grooming performance and to calculate the cutoff values for independence and supervision levels in grooming. For analysis between the independent and supervision-dependent groups, the only item with an area under the curve (AUC) of .9 or higher was the Berg Balance Scale, and the calculated cutoff value was 41/40 (sensitivity, 83.6%; specificity, 87.8%). For analysis between the independent-supervision and dependent groups, the items with an AUC of .9 or higher were the Simple Test for Evaluating Hand Function (STEF) on the nonaffected side, Vitality Index (VI), and FIM ® cognition. The cutoff values were 68/67 for the STEF (sensitivity, 100%; specificity, 72.2%), 9/8 points for the VI (sensitivity, 92.3%; specificity, 88.9%), and 23/22 points for FIM ® cognition (sensitivity, 91.0%; specificity, 88.9%). Our results suggest that upper-extremity functions on the nonaffected side, motivation, and cognitive functions are particularly important to achieve the supervision level and that balance is important to reach the independence level. The effective improvement of grooming performance is possible by performing therapeutic or compensatory intervention on functions that have not achieved these cutoff values. Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.
Value, Cost, and Sharing: Open Issues in Constrained Clustering
NASA Technical Reports Server (NTRS)
Wagstaff, Kiri L.
2006-01-01
Clustering is an important tool for data mining, since it can identify major patterns or trends without any supervision (labeled data). Over the past five years, semi-supervised (constrained) clustering methods have become very popular. These methods began with incorporating pairwise constraints and have developed into more general methods that can learn appropriate distance metrics. However, several important open questions have arisen about which constraints are most useful, how they can be actively acquired, and when and how they should be propagated to neighboring points. This position paper describes these open questions and suggests future directions for constrained clustering research.
Child pedestrian supervision/guidance
DOT National Transportation Integrated Search
1983-01-01
The purpose of this study was to identify and evaluate the pedestrian accident risk associated with play activities performed in and near the street, as well as other situational characteristics, and to develop accident countermeasures emphasizing su...
ERIC Educational Resources Information Center
Choate, Joyce S.
1990-01-01
The initial step of a strategic process for solving mathematical problems, "studying the question," is discussed. A lesson plan for teaching students to identify and revise arithmetic problems is presented, involving directed instruction and supervised practice. (JDD)
Supervised toothbrushing programs in primary schools and early childhood settings: A scoping review.
Dickson-Swift, V; Kenny, A; Gussy, M; de Silva, A M; Farmer, J; Bracksley-O'Grady, S
2017-12-01
In this article we report the findings of a scoping review that aimed to identify and summarise the range of programs and guidelines available for toothbrushing programs in schools and early childhood settings. Dental caries is one of the most common preventable diseases affecting children worldwide. Untreated caries can impact on child health and wellbeing, development, socialisation and school attendance. Supervised toothbrushing programs in schools and other early childhood settings can be effective in improving the oral health of young children. There is limited understanding of the salient issues to consider when developing such programs or how they are best implemented in real world settings. A scoping review methodology was utilised to provide a summary of the guidelines and programs available. Key search terms were developed, mapped and utilised to identify guidelines and programs across 6 databases and key search engines. We located 26 programs and guidelines that met the inclusion and exclusion criteria for the review. These were collated and summarised across key countries and critical aspects of program development and implementation were identified. Toothbrush type and storage, toothpaste strength and method of dispensing, toothbrush storage, staff training and parental consent are key considerations that varied widely. Guidelines for supervised toothbrushing programs vary within and across countries due to differences in water fluoridation and availability of low fluoride toothpastes. The results of this review provide critical information to be considered when establishing and implementing toothbrushing programs in these settings. Copyright© 2017 Dennis Barber Ltd.
Watching as an ordinary affect: Care and mothers’ preemption of injury in child supervision
Dao, Amy
2014-01-01
As unintentional injuries continue to be the leading cause of hospitalization and death for toddlers between the ages of 1 and 4, the Centers for Disease Control has argued that child supervision is a key factor in reducing these injuries and fatalities. This article focuses on the affective relationships in the concept of supervision and practice of watching as an injury prevention method. Three parts frame our argument. First, we describe how watching is an ordinary affect. Second, as part of the ethos of caring, watching is embedded in a temporal frame of anticipation and gives rise to an affectsphere of watching and to a parents’ subjectivity as ‘good’ or ‘bad’ supervisors. Third, these affective relationships generate seemingly contradictory outcomes wherein children are expected to gain independence and experience injury. The affective qualities of watching provide a critique of the individualizing forces of supervision and an analysis of subjectivities generated by gender and class. PMID:25114724
CANCER IN OTHER WORDS? THE ROLE OF METAPHOR IN EMOTION DISCLOSURE IN CANCER PATIENTS.
Lanceley, Anne; Clark, Jill Macleod
2013-05-01
Despite evidence that nurses may play a crucial part in the wellbeing and recovery of cancer patients by facilitating their expression of feelings, research is lacking into the emotional content of nurse-patient talk and patients' use of language in emotion disclosure. In this study, 23 participating nurses in a variety of cancer care settings were asked to tape-record their conversations with patients during daily care. A data set of 60 nurse-patient conversations was collected. Individual expression of emotion by patients was identified through interpretive literary analysis within a framework of psychodynamic theory. Overall the picture of emotion disclosure was intense. In particular, patients' use of metaphor and figurative language to express their distress was powerful and pervasive. Participating nurses demonstrated responsive skills but their responses to figurative expression were often problematic. The study provides evidence of unconscious processes in nurses' work and advocates career-long psychoanalytically informed supervision for nurses to better support them in challenging dialogue with cancer patients. Research is needed to evaluate the impact of supervision on communications with cancer patients to ensure patients have access to appropriate emotional supportive and care.
CANCER IN OTHER WORDS? THE ROLE OF METAPHOR IN EMOTION DISCLOSURE IN CANCER PATIENTS
Lanceley, Anne; Clark, Jill Macleod
2013-01-01
Despite evidence that nurses may play a crucial part in the wellbeing and recovery of cancer patients by facilitating their expression of feelings, research is lacking into the emotional content of nurse–patient talk and patients' use of language in emotion disclosure. In this study, 23 participating nurses in a variety of cancer care settings were asked to tape-record their conversations with patients during daily care. A data set of 60 nurse–patient conversations was collected. Individual expression of emotion by patients was identified through interpretive literary analysis within a framework of psychodynamic theory. Overall the picture of emotion disclosure was intense. In particular, patients' use of metaphor and figurative language to express their distress was powerful and pervasive. Participating nurses demonstrated responsive skills but their responses to figurative expression were often problematic. The study provides evidence of unconscious processes in nurses' work and advocates career-long psychoanalytically informed supervision for nurses to better support them in challenging dialogue with cancer patients. Research is needed to evaluate the impact of supervision on communications with cancer patients to ensure patients have access to appropriate emotional supportive and care. PMID:24748706
Determinants of effective clinical learning: a student and teacher perspective in Saudi Arabia.
Alhaqwi, A I; van der Molen, H T; Schmidt, H G; Magzoub, M E
2010-08-01
Graduating clinically competent medical students is probably the principal objective of all medical curricula. Training for clinical competence is rather a complex process and to be effective requires involving all stakeholders, including students, in the processes of planning and implanting the curriculum. This study explores the perceptions of students of the College of Medicine at King Abdul-Aziz Bin Saud University for Health Sciences (KASU-HS), Riyadh, Saudi Arabia of the features of effective clinical rotations by inviting them to answer the question: "Which experiences or activities in your opinion have contributed to the development of your clinical competence? This college was established in 2004 and adopted a problem-based learning curriculum. This question was posed to 24 medical students divided into three focus groups. A fourth focus group interview was conducted with five teachers. Transcriptions of the tape-recorded focus group interviews were qualitatively analyzed using a framework analysis approach. Students identified five main themes of factors perceived to affect their clinical learning: (1) the provision of authentic clinical learning experiences, (2) good organization of the clinical sessions, (3) issues related to clinical cases, (4) good supervision and (5) students' own learning skills. These themes were further subdivided into 18 sub-themes. Teachers identified three principal themes: (1) organizational issues, (2) appropriate supervision and (3) providing authentic experiences. Consideration of these themes in the process of planning and development of medical curricula could contribute to medical students' effective clinical learning and skills competency.
Supervised learning of tools for content-based search of image databases
NASA Astrophysics Data System (ADS)
Delanoy, Richard L.
1996-03-01
A computer environment, called the Toolkit for Image Mining (TIM), is being developed with the goal of enabling users with diverse interests and varied computer skills to create search tools for content-based image retrieval and other pattern matching tasks. Search tools are generated using a simple paradigm of supervised learning that is based on the user pointing at mistakes of classification made by the current search tool. As mistakes are identified, a learning algorithm uses the identified mistakes to build up a model of the user's intentions, construct a new search tool, apply the search tool to a test image, display the match results as feedback to the user, and accept new inputs from the user. Search tools are constructed in the form of functional templates, which are generalized matched filters capable of knowledge- based image processing. The ability of this system to learn the user's intentions from experience contrasts with other existing approaches to content-based image retrieval that base searches on the characteristics of a single input example or on a predefined and semantically- constrained textual query. Currently, TIM is capable of learning spectral and textural patterns, but should be adaptable to the learning of shapes, as well. Possible applications of TIM include not only content-based image retrieval, but also quantitative image analysis, the generation of metadata for annotating images, data prioritization or data reduction in bandwidth-limited situations, and the construction of components for larger, more complex computer vision algorithms.
Barteneva, Natasha S; Vorobjev, Ivan A
2018-01-01
In this paper, we review some of the recent advances in cellular heterogeneity and single-cell analysis methods. In modern research of cellular heterogeneity, there are four major approaches: analysis of pooled samples, single-cell analysis, high-throughput single-cell analysis, and lately integrated analysis of cellular population at a single-cell level. Recently developed high-throughput single-cell genetic analysis methods such as RNA-Seq require purification step and destruction of an analyzed cell often are providing a snapshot of the investigated cell without spatiotemporal context. Correlative analysis of multiparameter morphological, functional, and molecular information is important for differentiation of more uniform groups in the spectrum of different cell types. Simplified distributions (histograms and 2D plots) can underrepresent biologically significant subpopulations. Future directions may include the development of nondestructive methods for dissecting molecular events in intact cells, simultaneous correlative cellular analysis of phenotypic and molecular features by hybrid technologies such as imaging flow cytometry, and further progress in supervised and non-supervised statistical analysis algorithms.
Weakly Supervised Dictionary Learning
NASA Astrophysics Data System (ADS)
You, Zeyu; Raich, Raviv; Fern, Xiaoli Z.; Kim, Jinsub
2018-05-01
We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and restoration as well as high-level classification tasks, which can be applied to audio and image analysis. Synthesis dictionary learning aims at jointly learning a dictionary and corresponding sparse coefficients to provide accurate data representation. This approach is useful for denoising and signal restoration, but may lead to sub-optimal classification performance. By contrast, analysis dictionary learning provides a transform that maps data to a sparse discriminative representation suitable for classification. We consider the problem of analysis dictionary learning for time-series data under a weak supervision setting in which signals are assigned with a global label instead of an instantaneous label signal. We propose a discriminative probabilistic model that incorporates both label information and sparsity constraints on the underlying latent instantaneous label signal using cardinality control. We present the expectation maximization (EM) procedure for maximum likelihood estimation (MLE) of the proposed model. To facilitate a computationally efficient E-step, we propose both a chain and a novel tree graph reformulation of the graphical model. The performance of the proposed model is demonstrated on both synthetic and real-world data.
2010-01-01
Background Discrimination between clinical and environmental strains within many bacterial species is currently underexplored. Genomic analyses have clearly shown the enormous variability in genome composition between different strains of a bacterial species. In this study we have used Legionella pneumophila, the causative agent of Legionnaire's disease, to search for genomic markers related to pathogenicity. During a large surveillance study in The Netherlands well-characterized patient-derived strains and environmental strains were collected. We have used a mixed-genome microarray to perform comparative-genome analysis of 257 strains from this collection. Results Microarray analysis indicated that 480 DNA markers (out of in total 3360 markers) showed clear variation in presence between individual strains and these were therefore selected for further analysis. Unsupervised statistical analysis of these markers showed the enormous genomic variation within the species but did not show any correlation with a pathogenic phenotype. We therefore used supervised statistical analysis to identify discriminating markers. Genetic programming was used both to identify predictive markers and to define their interrelationships. A model consisting of five markers was developed that together correctly predicted 100% of the clinical strains and 69% of the environmental strains. Conclusions A novel approach for identifying predictive markers enabling discrimination between clinical and environmental isolates of L. pneumophila is presented. Out of over 3000 possible markers, five were selected that together enabled correct prediction of all the clinical strains included in this study. This novel approach for identifying predictive markers can be applied to all bacterial species, allowing for better discrimination between strains well equipped to cause human disease and relatively harmless strains. PMID:20630115
Pekkala, Timo; Hall, Anette; Lötjönen, Jyrki; Mattila, Jussi; Soininen, Hilkka; Ngandu, Tiia; Laatikainen, Tiina; Kivipelto, Miia; Solomon, Alina
2017-01-01
This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study. The CAIDE study was based on previous population-based midlife surveys. CAIDE participants were re-examined twice in late-life, and the first late-life re-examination was used as baseline for the present study. The main study population included 709 cognitively normal subjects at first re-examination who returned to the second re-examination up to 10 years later (incident dementia n = 39). An extended population (n = 1009, incident dementia 151) included non-participants/non-survivors (national registers data). DSI was used to develop a dementia index based on first re-examination assessments. Performance in predicting dementia was assessed as area under the ROC curve (AUC). AUCs for DSI were 0.79 and 0.75 for main and extended populations. Included predictors were cognition, vascular factors, age, subjective memory complaints, and APOE genotype. The supervised machine learning method performed well in identifying comprehensive profiles for predicting dementia development up to 10 years later. DSI could thus be useful for identifying individuals who are most at risk and may benefit from dementia prevention interventions.
Synergism in education: An innovative approach to practice teaching supervision
NASA Astrophysics Data System (ADS)
Mereni, Joseph Ibewuike
1985-12-01
The problem of effective teacher education is central to the pressing needs of Nigerian education at all levels. Scholars have identified many of them, including the general problems relating to the supervision, guidance, and evaluation of student-practice teaching. The purpose of this essay is briefly to describe an innovative approach undertaken by the Imo State School Board (Nigeria), in collaboration with the Ministry of Education, to resolve some of the problems identified. The underlying assumption is that the student teachers' internship is best conducted with closer collaboration, supervision, and guidance of the teachers. The study employed a theoretical framework synergism in education which integrated earlier studies by both American and Nigerian scholars. The concept of synergism has been defined as the combined healthy action of all `elements' of a system. Application of the theory showed how the State Ministry of Education, the State School Board, the Teacher Training Colleges and the Nigeria Union of Teachers of Imo State collectively resolved in 1980 the problems of inadequate supervisory personnel, high cost of student-teaching internship, and poor student assessment and evaluation. With the synergetic supervisory process, the functions of planning, changing, and decision-making about instructional improvement are shared, with a certain degree of power equalization, among the student teachers, supervisors, co-operating teachers, and the school executives.
Housing and sexual health among street-involved youth.
Kumar, Maya M; Nisenbaum, Rosane; Barozzino, Tony; Sgro, Michael; Bonifacio, Herbert J; Maguire, Jonathon L
2015-10-01
Street-involved youth (SIY) carry a disproportionate burden of sexually transmitted diseases (STD). Studies among adults suggest that improving housing stability may be an effective primary prevention strategy for improving sexual health. Housing options available to SIY offer varying degrees of stability and adult supervision. This study investigated whether housing options offering more stability and adult supervision are associated with fewer STD and related risk behaviors among SIY. A cross-sectional study was performed using public health survey and laboratory data collected from Toronto SIY in 2010. Three exposure categories were defined a priori based on housing situation: (1) stable and supervised housing, (2) stable and unsupervised housing, and (3) unstable and unsupervised housing. Multivariate logistic regression was used to test the association between housing category and current or recent STD. Secondary analyses were performed using the following secondary outcomes: blood-borne infection, recent binge-drinking, and recent high-risk sexual behavior. The final analysis included 184 SIY. Of these, 28.8 % had a current or recent STD. Housing situation was stable and supervised for 12.5 %, stable and unsupervised for 46.2 %, and unstable and unsupervised for 41.3 %. Compared to stable and supervised housing, there was no significant association between current or recent STD among stable and unsupervised housing or unstable and unsupervised housing. There was no significant association between housing category and risk of blood-borne infection, binge-drinking, or high-risk sexual behavior. Although we did not demonstrate a significant association between stable and supervised housing and lower STD risk, our incorporation of both housing stability and adult supervision into a priori defined exposure groups may inform future studies of housing-related prevention strategies among SIY. Multi-modal interventions beyond housing alone may also be required to prevent sexual morbidity among these vulnerable youth.
Chuter, V H; de Jonge, X A K Janse; Thompson, B M; Callister, R
2015-03-01
Poor core stability is linked to a range of musculoskeletal pathologies and core-strengthening programmes are widely used as treatment. Treatment outcomes, however, are highly variable, which may be related to the method of delivery of core strengthening programmes. We investigated the effect of identical 8 week core strengthening programmes delivered as either supervised or home-based on measures of core stability. Participants with poor core stability were randomised into three groups: supervised (n=26), home-based (n=26) or control (n=26). Primary outcomes were the Sahrmann test and the Star Excursion Balance Test (SEBT) for dynamic core stability and three endurance tests (side-bridge, flexor and Sorensen) for static core stability. The exercise programme was devised and supervised by an exercise physiologist. Analysis of covariance on the change from baseline over the 8 weeks showed that the supervised group performed significantly better on all core stability measures than both the home-based and control group. The home-based group produced significant improvements compared to the control group in all static core stability tests, but not in most of the dynamic core stability tests (Sahrmann test and two out of three directions of the SEBT). Our results support the use of a supervised core-strengthening programme over a home-based programme to maximise improvements in core stability, especially in its dynamic aspects. Based on our findings in healthy individuals with low core stability, further research is recommended on potential therapeutic benefits of supervised core-strengthening programmes for pathologies associated with low core stability. ACTRN12613000233729. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Dalager, Tina; Bredahl, Thomas G V; Pedersen, Mogens T; Boyle, Eleanor; Andersen, Lars L; Sjøgaard, Gisela
2015-10-01
The aim was to determine the effect of one weekly hour of specific strength training within working hours, performed with the same total training volume but with different training frequencies and durations, or with different levels of supervision, on compliance, muscle health and performance, behavior and work performance. In total, 573 office workers were cluster-randomized to: 1 WS: one 60-min supervised session/week, 3 WS: three 20-min supervised sessions/week, 9 WS: nine 7-min supervised sessions/week, 3 MS: three 20-min sessions/week with minimal supervision, or REF: a reference group without training. Outcomes were diary-based compliance, total training volume, muscle performance and questionnaire-based health, behavior and work performance. Comparisons were made among the WS training groups and between 3 WS and 3 MS. If no difference, training groups were collapsed (TG) and compared with REF. Results demonstrated similar degrees of compliance, mean(range) of 39(33-44)%, and total training volume, 13.266(11.977-15.096)kg. Musculoskeletal pain in neck and shoulders were reduced with approx. 50% in TG, which was significant compared with REF. Only the training groups improved significantly their muscle strength 8(4-13)% and endurance 27(12-37)%, both being significant compared with REF. No change in workability, productivity or self-rated health was demonstrated. Secondary analysis showed exercise self-efficacy to be a significant predictor of compliance. Regardless of training schedule and supervision, similar degrees of compliance were shown together with reduced musculoskeletal pain and improved muscle performance. These findings provide evidence that a great degree of flexibility is legitimate for companies in planning future implementation of physical exercise programs at the workplace. ClinicalTrials.gov, number NCT01027390. Copyright © 2015 Elsevier Ltd. All rights reserved.
Characteristics of Infant Deaths during Sleep While Under Nonparental Supervision.
Lagon, Elena; Moon, Rachel Y; Colvin, Jeffrey D
2018-03-28
To compare risk factors for infant sleep-related deaths under the supervision of parents and nonparents. We conducted a secondary analysis of sleep-related infant deaths from 2004 to 2014 in the National Center for Fatality Review and Prevention Child Death Review Case Reporting System. The main exposure was supervisor at time of death. Primary outcomes included sleep position, location, and objects in the environment. Risk factors for parental vs nonparental supervisor were compared using χ 2 and multivariable logistic regression models. Risk factors associated with different nonparental supervisors were analyzed using χ 2 . Of the 10 490 deaths, 1375 (13.1%) occurred under nonparental supervision. Infants who died under nonparental supervision had higher adjusted odds of dying outside the home (OR 12.87, 95% CI 11.31-14.65), being placed prone (OR 1.61, 95% CI 1.39-1.86) or on their side (OR 1.35, 95% CI 1.12-1.62), or being found prone (OR 1.74, 95% CI 1.50-2.02). Among infants who died under nonparental supervision, those supervised by relatives or friends were more often placed on an adult bed or couch for sleep and bed sharing (P < .0001), and to have objects in the sleep environment (P = .01). Infants who died of sleep-related causes under nonparental supervision were more likely to have been placed nonsupine. Among nonparental supervisors, relatives and friends were more likely to use unsafe sleep environments, such as locations other than a crib or bassinet and bed sharing. Pediatricians should educate parents that all caregivers must always follow safe sleep practices. Copyright © 2018 Elsevier Inc. All rights reserved.
Quality of supervision: postgraduate dental research trainees' perspectives.
Beaudin, A; Emami, E; Palumbo, M; Tran, S D
2016-02-01
Supervision is a pillar in enhancing the student's learning environment throughout her/his higher education. Multiple studies qualify graduate supervision among the most important contributors to the successful completion of a higher education degree and to graduate students' positive academic experience. The aim of this study was to assess the views of graduate students enrolled in the Dental Sciences and Craniofacial Research Graduate Programs at McGill University (n = 64) regarding the quality of supervision they are receiving. An online questionnaire composed of 22 open and closed-ended format items was used and covered five domains: student profile, supervisory relationship, conflict resolution, student progress/thesis writing and career development. Descriptive statistics, chi-square tests and interpretative qualitative analysis were used to evaluate students' perspectives. Fifty-nine students completed the survey (92.2%). The distribution of sample in regard to the graduate student level was almost identical (M.Sc. level n = 28, Ph.D. n = 31). Overall, most graduate students appeared satisfied with the supervision they received and had similar perspectives about the surveyed domains. There was one statistically significant difference (P < 0.05) between MSc and PhD students when asked if their supervisors aided them in career development outside the supervisory relationship, where 77.4% (n = 24) of doctoral students agreed as opposed to 21.4% (n = 12) of Masters' students. Our results showed that McGill graduate students appeared to be overall satisfied with the supervision they received. The main elements contributing to a positive supervision experience were support, guidance, availability and good communication between supervisees and supervisors. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Smedts, Anna M; Campbell, Narelle; Sweet, Linda
2013-01-01
This study sought to characterise the allied health professional (AHP) workforce of the Northern Territory (NT), Australia, in order to understand the influence of student supervision on workload, job satisfaction, and recruitment and retention. The national Rural Allied Health Workforce Study survey was adapted for the NT context and distributed through local AHP networks. Valid responses (n=179) representing 16 professions were collated and categorised into 'supervisor' and 'non-supervisor' groups for further analysis. The NT AHP workforce is predominantly female, non-Indigenous, raised in an urban environment, trained outside the NT, now concentrated in the capital city, and principally engaged in individual patient care. Allied health professionals cited income and type of work or clientele as the most frequent factors for attraction to their current positions. While 62% provided student supervision, only half reported having training in mentoring or supervision. Supervising students accounted for an estimated 9% of workload. Almost 20% of existing supervisors and 33% of non-supervising survey respondents expressed an interest in greater supervisory responsibilities. Despite indicating high satisfaction with their current positions, 67% of respondents reported an intention to leave their jobs in less than 5 years. Student supervision was not linked to perceived job satisfaction; however, this study found that professionals who were engaged in student supervision were significantly more likely to report intention to stay in their current jobs (>5 years; p<0.05). The findings are important for supporting ongoing work-integrated learning opportunities for students in a remote context, and highlight the need for efforts to be focused on the training and retention of AHPs as student supervisors.
Poynter, Chris J; Garden, Alexander; Young, Paul J
2012-03-01
To compare registrar sleep and supervision hours before and after a change in roster to accommodate more senior registrar (SR) positions, and to identify risky patterns of sleep on night shifts. Prospective study of 21 registrars on two different roster templates from September 2010 to May 2011 in the intensive care unit of Wellington Regional Hospital, Wellington, New Zealand. Roster change from 13 registrars and one SR to 10 registrars and four SRs. Mean sleep and supervision hours by shift; episodes of sleep ≤ 5 hours, wakefulness ≥17 hours, sleep during shift, waking before 16:00 before night shifts. 990 sleep surveys were analysed. There was no significant difference between groups in mean sleep or supervision hours for any shift. Two hundred and thirty-six night shifts were analysed. Registrars slept ≤5 hours before 19/236 (8.1%) night shifts; had ≥17 hours wakefulness before 79/236 night shifts (33.5%); woke by 16:00 107/ 236 (45.3%) times; and slept during 86/236 (36.4%) night shifts. Registrars arrived at work having either woken before 16:00 or had ≤5 hours of sleep on 114/236 (48.3%) night shifts. Changing the registrar roster to meet the training demands of our senior trainees did not adversely affect registrar sleep or supervision. Registrars may be taking on unnecessary risk due to poor sleep hygiene around night shifts. We suggest sleep education and scheduled sleep time during night shifts.
Regression discontinuity design in criminal justice evaluation: an introduction and illustration.
Rhodes, William; Jalbert, Sarah Kuck
2013-01-01
Corrections agencies frequently place offenders into risk categories, within which offenders receive different levels of supervision and programming. This supervision strategy is seldom evaluated but often can be through routine use of a regression discontinuity design (RDD). This article argues that RDD provides a rigorous and cost-effective method for correctional agencies to evaluate and improve supervision strategies and advocates for using RDD routinely in corrections administration. The objective is to better employ correctional resources. This article uses a Neyman-Pearson counterfactual framework to introduce readers to RDD, to provide intuition for why RDD should be used broadly, and to motivate a deeper reading into the methodology. The article also illustrates an application of RDD to evaluate an intensive supervision program for probationers. Application of the RDD, which requires basic knowledge of regressions and some special diagnostic tools, is within the competencies of many criminal justice evaluators. RDD is shown to be an effective strategy to identify the treatment effect in a community corrections agency using supervision that meets the necessary conditions for RDD. The article concludes with a critical review of how RDD compares to experimental methods to answer policy questions. The article recommends using RDD to evaluate whether differing levels of control and correction reduce criminal recidivism. It also advocates for routine use of RDD as an administrative tool to determine cut points used to assign offenders into different risk categories based on the offenders' risk scores.
Burnout and the provision of psychosocial care amongst Australian cancer nurses.
Mcmillan, Kirsty; Butow, Phyllis; Turner, Jane; Yates, Patsy; White, Kate; Lambert, Sylvie; Stephens, Moira; Lawsin, Catalina
2016-06-01
To assess the prevalence of burnout amongst Australian cancer nurses as well as investigate the systemic and individual factors associated with burnout, including training and supervision for nurses in psychosocial care. Burnout amongst cancer nurses can have serious consequences for the individual nurse, the hospital and patients. Psychosocial care has been demonstrated in many studies to reduce distress in cancer patients; however, previous studies have suggested that providing psychosocial care can be stressful if nurses feel they lack appropriate training. Psychosocial skill training and supervision may be a way of improving job satisfaction and reducing burnout amongst nurses. Two hundred and thirty cancer nurses were recruited between November 2010 and April 2011 and completed an online questionnaire. Burnout levels within this population were found to be below nursing norms. Adequacy of training and supervision, frequency of supervision and percentage of role spent managing psychosocial care were found to be associated with burnout. Workload, Control, Reward and Community were independent predictors of burnout, and nurses with a greater mismatch in these areas identified as having High levels of burnout. Strategies to reduce burnout include providing cancer nurses with a varied and sustainable workload, awarding financial and social recognition of efforts and encouraging nurses to develop a sense of control over their work. Providing regular training and supervision in psychosocial care that is perceived to be adequate may also assist in reducing burnout. Copyright © 2016. Published by Elsevier Ltd.
Distributed architecture and distributed processing mode in urban sewage treatment
NASA Astrophysics Data System (ADS)
Zhou, Ruipeng; Yang, Yuanming
2017-05-01
Decentralized rural sewage treatment facility over the broad area, a larger operation and management difficult, based on the analysis of rural sewage treatment model based on the response to these challenges, we describe the principle, structure and function in networking technology and network communications technology as the core of distributed remote monitoring system, through the application of case analysis to explore remote monitoring system features in a decentralized rural sewage treatment facilities in the daily operation and management. Practice shows that the remote monitoring system to provide technical support for the long-term operation and effective supervision of the facilities, and reduced operating, maintenance and supervision costs for development.
Analysis of spreadable cheese by Raman spectroscopy and chemometric tools.
Oliveira, Kamila de Sá; Callegaro, Layce de Souza; Stephani, Rodrigo; Almeida, Mariana Ramos; de Oliveira, Luiz Fernando Cappa
2016-03-01
In this work, FT-Raman spectroscopy was explored to evaluate spreadable cheese samples. A partial least squares discriminant analysis was employed to identify the spreadable cheese samples containing starch. To build the models, two types of samples were used: commercial samples and samples manufactured in local industries. The method of supervised classification PLS-DA was employed to classify the samples as adulterated or without starch. Multivariate regression was performed using the partial least squares method to quantify the starch in the spreadable cheese. The limit of detection obtained for the model was 0.34% (w/w) and the limit of quantification was 1.14% (w/w). The reliability of the models was evaluated by determining the confidence interval, which was calculated using the bootstrap re-sampling technique. The results show that the classification models can be used to complement classical analysis and as screening methods. Copyright © 2015 Elsevier Ltd. All rights reserved.
A blended supervision model in Australian general practice training.
Ingham, Gerard; Fry, Jennifer
2016-05-01
The Royal Australian College of General Practitioners' Standards for general practice training allow different models of registrar supervision, provided these models achieve the outcomes of facilitating registrars' learning and ensuring patient safety. In this article, we describe a model of supervision called 'blended supervision', and its initial implementation and evaluation. The blended supervision model integrates offsite supervision with available local supervision resources. It is a pragmatic alternative to traditional supervision. Further evaluation of the cost-effectiveness, safety and effectiveness of this model is required, as is the recruitment and training of remote supervisors. A framework of questions was developed to outline the training practice's supervision methods and explain how blended supervision is achieving supervision and teaching outcomes. The supervision and teaching framework can be used to understand the supervision methods of all practices, not just practices using blended supervision.
Modesto-Alapont, Vicente; Gonzalez-Marrachelli, Vannina; Vento-Rehues, Rosa; Jorda-Miñana, Angela; Blanquer-Olivas, Jose; Monleon, Daniel
2015-01-01
Early diagnosis and patient stratification may improve sepsis outcome by a timely start of the proper specific treatment. We aimed to identify metabolomic biomarkers of sepsis in urine by 1H-NMR spectroscopy to assess the severity and to predict outcomes. Urine samples were collected from 64 patients with severe sepsis or septic shock in the ICU for a 1H NMR spectra acquisition. A supervised analysis was performed on the processed spectra, and a predictive model for prognosis (30-days mortality/survival) of sepsis was constructed using partial least-squares discriminant analysis (PLS-DA). In addition, we compared the prediction power of metabolomics data respect the Sequential Organ Failure Assessment (SOFA) score. Supervised multivariate analysis afforded a good predictive model to distinguish the patient groups and detect specific metabolic patterns. Negative prognosis patients presented higher values of ethanol, glucose and hippurate, and on the contrary, lower levels of methionine, glutamine, arginine and phenylalanine. These metabolites could be part of a composite biopattern of the human metabolic response to sepsis shock and its mortality in ICU patients. The internal cross-validation showed robustness of the metabolic predictive model obtained and a better predictive ability in comparison with SOFA values. Our results indicate that NMR metabolic profiling might be helpful for determining the metabolomic phenotype of worst-prognosis septic patients in an early stage. A predictive model for the evolution of septic patients using these metabolites was able to classify cases with more sensitivity and specificity than the well-established organ dysfunction score SOFA. PMID:26565633
Genetic Classification of Populations Using Supervised Learning
Bridges, Michael; Heron, Elizabeth A.; O'Dushlaine, Colm; Segurado, Ricardo; Morris, Derek; Corvin, Aiden; Gill, Michael; Pinto, Carlos
2011-01-01
There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case–control studies and quality control (when participants in a study have been genotyped at different laboratories). This latter application is of particular importance in the era of large scale genome wide association studies, when collections of individuals genotyped at different locations are being merged to provide increased power. The traditional method for detecting structure within a population is some form of exploratory technique such as principal components analysis. Such methods, which do not utilise our prior knowledge of the membership of the candidate populations. are termed unsupervised. Supervised methods, on the other hand are able to utilise this prior knowledge when it is available. In this paper we demonstrate that in such cases modern supervised approaches are a more appropriate tool for detecting genetic differences between populations. We apply two such methods, (neural networks and support vector machines) to the classification of three populations (two from Scotland and one from Bulgaria). The sensitivity exhibited by both these methods is considerably higher than that attained by principal components analysis and in fact comfortably exceeds a recently conjectured theoretical limit on the sensitivity of unsupervised methods. In particular, our methods can distinguish between the two Scottish populations, where principal components analysis cannot. We suggest, on the basis of our results that a supervised learning approach should be the method of choice when classifying individuals into pre-defined populations, particularly in quality control for large scale genome wide association studies. PMID:21589856
NASA Astrophysics Data System (ADS)
Al-Doasari, Ahmad E.
The 1991 Gulf War caused massive environmental damage in Kuwait. Deposition of oil and soot droplets from hundreds of burning oil-wells created a layer of tarcrete on the desert surface covering over 900 km2. This research investigates the spatial change in the tarcrete extent from 1991 to 1998 using Landsat Thematic Mapper (TM) imagery and statistical modeling techniques. The pixel structure of TM data allows the spatial analysis of the change in tarcrete extent to be conducted at the pixel (cell) level within a geographical information system (GIS). There are two components to this research. The first is a comparison of three remote sensing classification techniques used to map the tarcrete layer. The second is a spatial-temporal analysis and simulation of tarcrete changes through time. The analysis focuses on an area of 389 km2 located south of the Al-Burgan oil field. Five TM images acquired in 1991, 1993, 1994, 1995, and 1998 were geometrically and atmospherically corrected. These images were classified into six classes: oil lakes; heavy, intermediate, light, and traces of tarcrete; and sand. The classification methods tested were unsupervised, supervised, and neural network supervised (fuzzy ARTMAP). Field data of tarcrete characteristics were collected to support the classification process and to evaluate the classification accuracies. Overall, the neural network method is more accurate (60 percent) than the other two methods; both the unsupervised and the supervised classification accuracy assessments resulted in 46 percent accuracy. The five classifications were used in a lagged autologistic model to analyze the spatial changes of the tarcrete through time. The autologistic model correctly identified overall tarcrete contraction between 1991--1993 and 1995--1998. However, tarcrete contraction between 1993--1994 and 1994--1995 was less well marked, in part because of classification errors in the maps from these time periods. Initial simulations of tarcrete contraction with a cellular automaton model were not very successful. However, more accurate classifications could improve the simulations. This study illustrates how an empirical investigation using satellite images, field data, GIS, and spatial statistics can simulate dynamic land-cover change through the use of a discrete statistical and cellular automaton model.
Welfare recipients’ involvement with child protective services after welfare reform
Nam, Yunju; Meezan, William; Danziger, Sandra K.
2007-01-01
Objective This study identifies factors associated with child protective services (CPS) involvement among current and former welfare recipients after welfare reform legislation was passed in the US in 1996. Method Data come from the Women’s Employment Study, a longitudinal study of randomly selected welfare recipients living in a Michigan city in 1997 (N = 541). In order to identify risk factors for CPS involvement among current and former welfare recipients, multinomial logit analyses with 29 independent variables were employed on a trichotomous dependent variable: no CPS involvement, investigation only, and supervision by CPS after investigation. Results The relationship between work and involvement with CPS differs by work experience prior to welfare reform. As the percentage of months working after welfare reform increased, the risk of being investigated by CPS declined among those with prior work experience but the risk increased among those without prior work experience. However, work variables were not significant predictors of supervision by CPS after an initial investigation. Further, race, cohabitation, childhood welfare receipt, having a learning disability, having a large number of children, being newly divorced, living in a high problem neighborhood, and being convicted of a crime were associated with one’s probability of being either investigated or supervised by CPS. Conclusions These findings suggest that employment could have increased the stress levels of current or former welfare recipients without prior work experience to the point where they were prone to minor child rearing mistakes that resulted in a CPS investigation, but were not severe enough to warrant opening the case for supervision. Supports should be provided to welfare mothers who are prone to involvement with CPS; expansions in the childcare subsidy and a reduction or delay in work requirements might also help these families. PMID:17116329
Welfare recipients' involvement with child protective services after welfare reform.
Nam, Yunju; Meezan, William; Danziger, Sandra K
2006-11-01
This study identifies factors associated with child protective services (CPS) involvement among current and former welfare recipients after welfare reform legislation was passed in the US in 1996. Data come from the Women's Employment Study, a longitudinal study of randomly selected welfare recipients living in a Michigan city in 1997 (N=541). In order to identify risk factors for CPS involvement among current and former welfare recipients, multinomial logit analyses with 29 independent variables were employed on a trichotomous dependent variable: no CPS involvement, investigation only, and supervision by CPS after investigation. The relationship between work and involvement with CPS differs by work experience prior to welfare reform. As the percentage of months working after welfare reform increased, the risk of being investigated by CPS declined among those with prior work experience but the risk increased among those without prior work experience. However, work variables were not significant predictors of supervision by CPS after an initial investigation. Further, race, cohabitation, childhood welfare receipt, having a learning disability, having a large number of children, being newly divorced, living in a high problem neighborhood, and being convicted of a crime were associated with one's probability of being either investigated or supervised by CPS. These findings suggest that employment could have increased the stress levels of current or former welfare recipients without prior work experience to the point where they were prone to minor child rearing mistakes that resulted in a CPS investigation, but were not severe enough to warrant opening the case for supervision. Supports should be provided to welfare mothers who are prone to involvement with CPS; expansions in the childcare subsidy and a reduction or delay in work requirements might also help these families.
Supervised Detection of Anomalous Light Curves in Massive Astronomical Catalogs
NASA Astrophysics Data System (ADS)
Nun, Isadora; Pichara, Karim; Protopapas, Pavlos; Kim, Dae-Won
2014-09-01
The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. In order to process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new methodology to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each of the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. By leaving out one of the classes on the training set, we perform a validity test and show that when the random forest classifier attempts to classify unknown light curves (the class left out), it votes with an unusual distribution among the classes. This rare voting is detected by the Bayesian network and expressed as a low joint probability. Our method is suitable for exploring massive data sets given that the training process is performed offline. We tested our algorithm on 20 million light curves from the MACHO catalog and generated a list of anomalous candidates. After analysis, we divided the candidates into two main classes of outliers: artifacts and intrinsic outliers. Artifacts were principally due to air mass variation, seasonal variation, bad calibration, or instrumental errors and were consequently removed from our outlier list and added to the training set. After retraining, we selected about 4000 objects, which we passed to a post-analysis stage by performing a cross-match with all publicly available catalogs. Within these candidates we identified certain known but rare objects such as eclipsing Cepheids, blue variables, cataclysmic variables, and X-ray sources. For some outliers there was no additional information. Among them we identified three unknown variability types and a few individual outliers that will be followed up in order to perform a deeper analysis.
As others see us: what PhD students say about supervisors.
Yarwood-Ross, Lee; Haigh, Carol
2014-09-01
To explore the attitudes that doctoral students share with each other in an online postgraduate discussion forum. The supervisory role is pivotal to the successful completion of a PhD. Student satisfaction surveys are implemented by some universities, but there is currently no research that has investigated PhD students' experiences of supervision in the less formal environment of an online postgraduate discussion forum. Data were collected between September and December 2012 from the Postgraduate Forum, which receives posts from the global student community. The keywords used in the search were 'supervisor(s)' and 'supervision'. The data were analysed using thematic analysis. All relevant titles and posts from between January 2002 and the end of December 2012 were searched. The authors discovered five major themes: communication difficulties, control and engagement, academic bullying, lack of trust, and desertion. The relationship between students and supervisors is vital to successful PhD completion, and this study has provided some of the experiences students share with each other in an online postgraduate discussion forum. The online discussion forum provided an insight into students' perspectives of supervision but as it is asynchronous, there is limited analysis. Further research incorporating synchronous data collection methods would be helpful to examine students' experiences in greater detail. This study shows how an online postgraduate forum can be used as a source of data to gain an insight into PhD students' perspectives of supervision.
Federal Register 2010, 2011, 2012, 2013, 2014
2010-10-06
... of ``(A) * * * identify[ing] risk to the financial stability of the United States that could arise... of reliance on short-term funding; and (K) Any other risk-related factors that the Council deems..., size, and scale of nonbank financial companies? a. Should a risk-adjusted measure of a company's assets...
Shamai, M
1998-01-01
This article describes and analyzes a 2-year supervision process with social workers and family therapists who live and work under conditions of uncertainty on the West Bank. The systemic orientation used in this specific approach to supervision emphasizes the double role of the therapist: one as part of the therapeutic system, and the second as a member of the same community that is living in political uncertainty. The analysis revealed that a long-term supervision process, in which the supervisor encouraged a containing context, was meaningful to the group. As a result of this secure atmosphere, the group was ready to talk about painful issues like loss as the result of war and terrorist attacks, loss as a result of immigration, and loss of ideals. Furthermore, the members of the group were ready to confront the possibility of relocation and their role in such a situation. The techniques used in the process, such as narrative and metaphors, were implemented by the members in their daily professional interventions. The flexibility between working on regular professional issues and issues related to stress and uncertainty seemed useful to the supervision, as well as the political dialogue that was created between the supervisor and the group.
NASA Astrophysics Data System (ADS)
Cruz-Roa, Angel; Arevalo, John; Basavanhally, Ajay; Madabhushi, Anant; González, Fabio
2015-01-01
Learning data representations directly from the data itself is an approach that has shown great success in different pattern recognition problems, outperforming state-of-the-art feature extraction schemes for different tasks in computer vision, speech recognition and natural language processing. Representation learning applies unsupervised and supervised machine learning methods to large amounts of data to find building-blocks that better represent the information in it. Digitized histopathology images represents a very good testbed for representation learning since it involves large amounts of high complex, visual data. This paper presents a comparative evaluation of different supervised and unsupervised representation learning architectures to specifically address open questions on what type of learning architectures (deep or shallow), type of learning (unsupervised or supervised) is optimal. In this paper we limit ourselves to addressing these questions in the context of distinguishing between anaplastic and non-anaplastic medulloblastomas from routine haematoxylin and eosin stained images. The unsupervised approaches evaluated were sparse autoencoders and topographic reconstruct independent component analysis, and the supervised approach was convolutional neural networks. Experimental results show that shallow architectures with more neurons are better than deeper architectures without taking into account local space invariances and that topographic constraints provide useful invariant features in scale and rotations for efficient tumor differentiation.
Semi-Supervised Learning to Identify UMLS Semantic Relations.
Luo, Yuan; Uzuner, Ozlem
2014-01-01
The UMLS Semantic Network is constructed by experts and requires periodic expert review to update. We propose and implement a semi-supervised approach for automatically identifying UMLS semantic relations from narrative text in PubMed. Our method analyzes biomedical narrative text to collect semantic entity pairs, and extracts multiple semantic, syntactic and orthographic features for the collected pairs. We experiment with seeded k-means clustering with various distance metrics. We create and annotate a ground truth corpus according to the top two levels of the UMLS semantic relation hierarchy. We evaluate our system on this corpus and characterize the learning curves of different clustering configuration. Using KL divergence consistently performs the best on the held-out test data. With full seeding, we obtain macro-averaged F-measures above 70% for clustering the top level UMLS relations (2-way), and above 50% for clustering the second level relations (7-way).
Shultz, Laura A Schwent; Pedersen, Heather A; Roper, Brad L; Rey-Casserly, Celiane
2014-01-01
Within the psychology supervision literature, most theoretical models and practices pertain to general clinical or counseling psychology. Supervision specific to clinical neuropsychology has garnered little attention. This survey study explores supervision training, practices, and perspectives of neuropsychology supervisors. Practicing neuropsychologists were invited to participate in an online survey via listservs and email lists. Of 451 respondents, 382 provided supervision to students, interns, and/or fellows in settings such as VA medical centers (37%), university medical centers (35%), and private practice (15%). Most supervisors (84%) reported supervision was discussed in graduate school "minimally" or "not at all." Although 67% completed informal didactics or received continuing education in supervision, only 27% reported receiving training specific to neuropsychology supervision. Notably, only 39% were satisfied with their training in providing supervision and 77% indicated they would likely participate in training in providing supervision, if available at professional conferences. Results indicate that clinical neuropsychology as a specialty has paid scant attention to developing supervision models and explicit training in supervision skills. We recommend that the specialty develop models of supervision for neuropsychological practice, supervision standards and competencies, training methods in provision of supervision, and benchmark measures for supervision competencies.
Semi-supervised word polarity identification in resource-lean languages.
Dehdarbehbahani, Iman; Shakery, Azadeh; Faili, Heshaam
2014-10-01
Sentiment words, as fundamental constitutive parts of subjective sentences, have a substantial effect on analysis of opinions, emotions and beliefs. Most of the proposed methods for identifying the semantic orientations of words exploit rich linguistic resources such as WordNet, subjectivity corpora, or polarity tagged words. Shortage of such linguistic resources in resource-lean languages affects the performance of word polarity identification in these languages. In this paper, we present a method which exploits a language with rich subjectivity analysis resources (English) to identify the polarity of words in a resource-lean foreign language. The English WordNet and a sparse foreign WordNet infrastructure are used to create a heterogeneous, multilingual and weighted semantic network. To identify the semantic orientation of foreign words, a random walk based method is applied to the semantic network along with a set of automatically weighted English positive and negative seeds. In a post-processing phase, synonym and antonym relations in the foreign WordNet are used to filter the random walk results. Our experiments on English and Persian languages show that the proposed method can outperform state-of-the-art word polarity identification methods in both languages. Copyright © 2014 Elsevier Ltd. All rights reserved.
Nariya, Maulik K; Kim, Jae Hyun; Xiong, Jian; Kleindl, Peter A; Hewarathna, Asha; Fisher, Adam C; Joshi, Sangeeta B; Schöneich, Christian; Forrest, M Laird; Middaugh, C Russell; Volkin, David B; Deeds, Eric J
2017-11-01
There is growing interest in generating physicochemical and biological analytical data sets to compare complex mixture drugs, for example, products from different manufacturers. In this work, we compare various crofelemer samples prepared from a single lot by filtration with varying molecular weight cutoffs combined with incubation for different times at different temperatures. The 2 preceding articles describe experimental data sets generated from analytical characterization of fractionated and degraded crofelemer samples. In this work, we use data mining techniques such as principal component analysis and mutual information scores to help visualize the data and determine discriminatory regions within these large data sets. The mutual information score identifies chemical signatures that differentiate crofelemer samples. These signatures, in many cases, would likely be missed by traditional data analysis tools. We also found that supervised learning classifiers robustly discriminate samples with around 99% classification accuracy, indicating that mathematical models of these physicochemical data sets are capable of identifying even subtle differences in crofelemer samples. Data mining and machine learning techniques can thus identify fingerprint-type attributes of complex mixture drugs that may be used for comparative characterization of products. Copyright © 2017 American Pharmacists Association®. All rights reserved.
Nicolau, Monica; Levine, Arnold J; Carlsson, Gunnar
2011-04-26
High-throughput biological data, whether generated as sequencing, transcriptional microarrays, proteomic, or other means, continues to require analytic methods that address its high dimensional aspects. Because the computational part of data analysis ultimately identifies shape characteristics in the organization of data sets, the mathematics of shape recognition in high dimensions continues to be a crucial part of data analysis. This article introduces a method that extracts information from high-throughput microarray data and, by using topology, provides greater depth of information than current analytic techniques. The method, termed Progression Analysis of Disease (PAD), first identifies robust aspects of cluster analysis, then goes deeper to find a multitude of biologically meaningful shape characteristics in these data. Additionally, because PAD incorporates a visualization tool, it provides a simple picture or graph that can be used to further explore these data. Although PAD can be applied to a wide range of high-throughput data types, it is used here as an example to analyze breast cancer transcriptional data. This identified a unique subgroup of Estrogen Receptor-positive (ER(+)) breast cancers that express high levels of c-MYB and low levels of innate inflammatory genes. These patients exhibit 100% survival and no metastasis. No supervised step beyond distinction between tumor and healthy patients was used to identify this subtype. The group has a clear and distinct, statistically significant molecular signature, it highlights coherent biology but is invisible to cluster methods, and does not fit into the accepted classification of Luminal A/B, Normal-like subtypes of ER(+) breast cancers. We denote the group as c-MYB(+) breast cancer.
28 CFR 2.206 - Travel approval and transfers of supervision.
Code of Federal Regulations, 2010 CFR
2010-07-01
... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in the...
28 CFR 2.206 - Travel approval and transfers of supervision.
Code of Federal Regulations, 2011 CFR
2011-07-01
... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in the...
28 CFR 2.206 - Travel approval and transfers of supervision.
Code of Federal Regulations, 2013 CFR
2013-07-01
... supervision. 2.206 Section 2.206 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION... Supervised Releasees § 2.206 Travel approval and transfers of supervision. (a) A releasee's supervision officer may approve travel outside the district of supervision without approval of the Commission in the...
Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong
2017-01-01
Background Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. Objective We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation—that is, creating lay definitions for these terms. Methods Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. Results The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS’s performance substantially. Conclusions ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS’s performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. PMID:29089288
Uduma, Ogenna; Galligan, Marie; Mollel, Henry; Masanja, Honorati; Bradley, Susan; McAuliffe, Eilish
2017-08-30
A systematic and structured approach to the support and supervision of health workers can strengthen the human resource management function at the district and health facility levels and may help address the current crisis in human resources for health in sub-Saharan Africa by improving health workers' motivation and retention. A supportive supervision programme including (a) a workshop, (b) intensive training and (c) action learning sets was designed to improve human resource management in districts and health facilities in Tanzania. We conducted a randomised experimental design to evaluate the impact of the intervention. Data on the same measures were collected pre and post the intervention in order to identify any changes that occurred (between baseline and end of project) in the capacity of supervisors in intervention a + b and intervention a + b + c to support and supervise their staff. These were compared to supervisors in a control group in each of Tanga, Iringa and Tabora regions (n = 9). A quantitative survey of 95 and 108 supervisors and 196 and 187 health workers sampled at baseline and end-line, respectively, also contained open-ended responses which were analysed separately. Supervisors assessed their own competency levels pre- and post-intervention. End-line samples generally scored higher compared to the corresponding baseline in both intervention groups for competence activities. Significant differences between baseline and end-line were observed in the total scores on 'maintaining high levels of performance', 'dealing with performance problems', 'counselling a troubled employee' and 'time management' in intervention a + b. In contrast, for intervention a + b + c, a significant difference in distribution of scores was only found on 'counselling a troubled employee', although the end-line mean scores were higher than their corresponding baseline mean scores in all cases. Similar trends to those in the supervisors' reports are seen in health workers data in terms of more efficient supervision processes, although the increases are not as marked. A number of different indicators were measured to assess the impact of the supportive supervision intervention on the a + b and a + b + c intervention sites. The average frequency of supervision visits and the supervisors' competency levels across the facilities increased in both intervention types. This would suggest that the intervention proved effective in raising awareness of the importance of supervision and this understanding led to action in the form of more supportive supervision.
Jovanović, N; Podlesek, A; Volpe, U; Barrett, E; Ferrari, S; Rojnic Kuzman, M; Wuyts, P; Papp, S; Nawka, A; Vaida, A; Moscoso, A; Andlauer, O; Tateno, M; Lydall, G; Wong, V; Rujevic, J; Platz Clausen, N; Psaras, R; Delic, A; Losevich, M A; Flegar, S; Crépin, P; Shmunk, E; Kuvshinov, I; Loibl-Weiß, E; Beezhold, J
2016-02-01
Postgraduate medical trainees experience high rates of burnout, but evidence regarding psychiatric trainees is missing. We aim to determine burnout rates among psychiatric trainees, and identify individual, educational and work-related factors associated with severe burnout. In an online survey psychiatric trainees from 22 countries were asked to complete the Maslach Burnout Inventory (MBI-GS) and provide information on individual, educational and work-related parameters. Linear mixed models were used to predict the MBI-GS scores, and a generalized linear mixed model to predict severe burnout. This is the largest study on burnout and training conditions among psychiatric trainees to date. Complete data were obtained from 1980 out of 7625 approached trainees (26%; range 17.8-65.6%). Participants were 31.9 (SD 5.3) years old with 2.8 (SD 1.9) years of training. Severe burnout was found in 726 (36.7%) trainees. The risk was higher for trainees who were younger (P<0.001), without children (P=0.010), and had not opted for psychiatry as a first career choice (P=0.043). After adjustment for socio-demographic characteristics, years in training and country differences in burnout, severe burnout remained associated with long working hours (P<0.001), lack of supervision (P<0.001), and not having regular time to rest (P=0.001). Main findings were replicated in a sensitivity analysis with countries with response rate above 50%. Besides previously described risk factors such as working hours and younger age, this is the first evidence of negative influence of lack of supervision and not opting for psychiatry as a first career choice on trainees' burnout. Copyright © 2016. Published by Elsevier Masson SAS.
Machine learning for neuroimaging with scikit-learn.
Abraham, Alexandre; Pedregosa, Fabian; Eickenberg, Michael; Gervais, Philippe; Mueller, Andreas; Kossaifi, Jean; Gramfort, Alexandre; Thirion, Bertrand; Varoquaux, Gaël
2014-01-01
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g., resting state functional MRI) or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.
Machine learning for neuroimaging with scikit-learn
Abraham, Alexandre; Pedregosa, Fabian; Eickenberg, Michael; Gervais, Philippe; Mueller, Andreas; Kossaifi, Jean; Gramfort, Alexandre; Thirion, Bertrand; Varoquaux, Gaël
2014-01-01
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g., resting state functional MRI) or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain. PMID:24600388
NASA Astrophysics Data System (ADS)
Goodacre, Royston; Rooney, Paul J.; Kell, Douglas B.
1998-04-01
FTIR spectra were obtained from 15 methicillin-resistant and 22 methicillin-susceptible Staphylococcus aureus strains using our DRASTIC approach. Cluster analysis showed that the major source of variation between the IR spectra was not due to their resistance or susceptibility to methicillin; indeed early studies suing pyrolysis mass spectrometry had shown that this unsupervised analysis gave information on the phage group of the bacteria. By contrast, artificial neural networks, based on a supervised learning, could be trained to recognize those aspects of the IR spectra which differentiated methicillin-resistant from methicillin- susceptible strains. These results give the first demonstration that the combination of FTIR with neural networks can provide a very rapid and accurate antibiotic susceptibility testing technique.
Digital communication to support clinical supervision: considering the human factors.
Mather, Carey; Marlow, Annette; Cummings, Elizabeth
2013-01-01
During the last three years the School of Nursing and Midwifery at the University of Tasmania has used a needs assessment survey to explore the needs of organizations and nursing professionals that facilitate and clinically supervise Bachelor of Nursing students in the workplace. Findings from the survey indicated that staff at healthcare organizations wanted a communication strategy that was easily accessible by clinicians who supervised students during work integrated learning placements. In particular they wanted to receive timely information related to the role and function of supervisors in practice. The development of the digital strategy to strengthen the development of a community of practice between the University, organizations, facilities and clinical supervisors was identified as the key method of improving communication. Blogging and micro blogging were selected as methods of choice for the implementation of the digital strategy because they were easy to set up, use and enable equity of access to geographically dispersed practitioners in urban and rural areas. Change champions were identified to disseminate information about the strategy within their workplaces. Although clinicians indicated electronic communication as their preferred method, there were a number of human factors at a systems and individual level identified to be challenges when communicating with clinical supervisors who were based off-campus. Information communication technology policies and embedded culture towards social presence were impediments to using this approach in some organizations. Additionally, it was found that it is necessary for this group of clinicians to be educated about using digital methods to undertake their role as clinical supervisors in their varied clinical practice environments.
NASA Astrophysics Data System (ADS)
Gupta, Sumit; Variyar, Prasad S.; Sharma, Arun
2015-01-01
Volatile compounds were isolated from apples and grapes employing solid phase micro extraction (SPME) and subsequently analyzed by GC/MS equipped with a transfer line without stationary phase. Single peak obtained was integrated to obtain total mass spectrum of the volatile fraction of samples. A data matrix having relative abundance of all mass-to-charge ratios was subjected to principal component analysis (PCA) and linear discriminant analysis (LDA) to identify radiation treatment. PCA results suggested that there is sufficient variability between control and irradiated samples to build classification models based on supervised techniques. LDA successfully aided in segregating control from irradiated samples at all doses (0.1, 0.25, 0.5, 1.0, 1.5, 2.0 kGy). SPME-MS with chemometrics was successfully demonstrated as simple screening method for radiation treatment.
Ingham, Gerard; Fry, Jennifer; O'Meara, Peter; Tourle, Vianne
2015-10-29
In medical education, a learner-centred approach is recommended. There is also a trend towards workplace-based learning outside of the hospital setting. In Australia, this has resulted in an increased need for General Practitioner (GP) supervisors who are receptive to using adult learning principles in their teaching. Little is known about what motivates Australian GP supervisors and how they currently teach. A qualitative study involving semi-structured interviews with 20 rural GP supervisors who work within one Regional Training Provider region in Australia explored their reasons for being a supervisor and how they performed their role. Data was analysed using a thematic analysis approach. GP supervisors identified both personal and professional benefits in being a supervisor, as well as some benefits for their practice. Supervision fulfilled a perceived broader responsibility to the profession and community, though they felt it had little impact on rural retention of doctors. While financial issues did not provide significant motivation to teach, the increasing financial inequity compared with providing direct patient care might impact negatively on the decision to be or to remain a supervisor in the future. The principal challenge for supervisors was finding time for teaching. Despite this, there was little evidence of supervisors adopting strategies to reduce teaching load. Teaching methods were reported in the majority to be case-based with styles extending from didactic to coach/facilitator. The two-way collegiate relationship with a registrar was valued, with supervisors taking an interest in the registrars beyond their development as a clinician. Supervisors report positively on their teaching and mentoring roles. Recruitment strategies that highlight the personal and professional benefits that supervision offers are needed. Practices need assistance to adopt models of supervision and teaching that will help supervisors productively manage the increasing number of learners in their practices. Educational institutions should facilitate the development and maintenance of supportive supervision and a learning culture within teaching practices. Given the variety of teaching approaches, evaluation of in-practice teaching is recommended.
NASA Technical Reports Server (NTRS)
Nalepka, R. F. (Principal Investigator); Sadowski, F. E.; Sarno, J. E.
1976-01-01
The author has identified the following significant results. A supervised classification within two separate ground areas of the Sam Houston National Forest was carried out for two sq meters spatial resolution MSS data. Data were progressively coarsened to simulate five additional cases of spatial resolution ranging up to 64 sq meters. Similar processing and analysis of all spatial resolutions enabled evaluations of the effect of spatial resolution on classification accuracy for various levels of detail and the effects on area proportion estimation for very general forest features. For very coarse resolutions, a subset of spectral channels which simulated the proposed thematic mapper channels was used to study classification accuracy.
The fuzzy system classifier using an intelligent mattress
NASA Astrophysics Data System (ADS)
Hnatiuc, Mihaela; Caruntu, George; Sarbu, Vasile
2009-01-01
Quality sleep enables your body and mind to be efficient during the day. The good rest of subject on bed depends by many factors; one of them can be the physical discomfort. In this paper one presents the medical system to prevent the discomfort and to identify the subject behavior during the sleep. The epochs of the sleep are classified using the fuzzy system with many inputs. The aim of this analysis is to realize an expert system to diagnose the sleep. A good diagnostic is obtained if the patient is supervised along all day. The system has a microsystem to control, command the pressure sensors and the relay for tuning the airbags pressure.
Research on image evidence in land supervision and GIS management
NASA Astrophysics Data System (ADS)
Li, Qiu; Wu, Lixin
2006-10-01
Land resource development and utilization brings many problems. The numbers, the scale and volume of illegal land use cases are on the increasing. Since the territory is vast, and the land violations are concealment, it is difficulty for an effective land supervision and management. In this paper, the concepts of evidence, and preservation of evidence were described first. The concepts of image evidence (IE), natural evidence (NE), natural preservation of evidence (NPE), general preservation of evidence (GPE) were proposed based on the characteristics of remote sensing image (RSI) which has a characteristic of objectiveness, truthfulness, high spatial resolution, more information included. Using MapObjects and Visual Basic 6.0, under the Access management to implement the conjunction of spatial vector database and attribute data table; taking RSI as the data sources and background layer; combining the powerful management of geographic information system (GIS) for spatial data, and visual analysis, a land supervision and GIS management system was design and implemented based on NPE. The practical use in Beijing shows that the system is running well, and solved some problems in land supervision and management.
An analysis of group versus individual child health supervision.
Rice, R L; Slater, C J
1997-12-01
This study compares the effectiveness of group health supervision (three or four families counseled simultaneously) with traditional visits in conveying knowledge of child health and development, increasing perceived maternal support, and mitigating maternal depression. Subjects were recruited from a predominantly white, middle-class, suburban/rural pediatric practice. Twenty-five families were allocated to group health supervision and 25 to individual visits. A questionnaire covering knowledge of child health and development (CHDQ), the Maternal Social Support Index (MSSI), and the Center for Epidemiologic Studies Depression Scale (CESD) were administered to both groups before their 2-month and after their 10-month visits. A subset of these charts was reviewed for problem visits between 2 and 6 months. As compared with families having traditional visits, families who received the group intervention did at least as well in acquiring knowledge of child care and development and, although not statistically significant, tended to recover from postpartum depression faster and deal better with minor illnesses. The investigators found group child health supervision to be a pleasant and effective method of health care delivery.
33 CFR 150.550 - What are the requirements for the muster list?
Code of Federal Regulations, 2011 CFR
2011-07-01
... of supervision during an emergency; (2) List the special duties and duty stations for each person on... by part 149 of this chapter; and (3) Identify the signals for calling persons to their emergency...
33 CFR 150.550 - What are the requirements for the muster list?
Code of Federal Regulations, 2010 CFR
2010-07-01
... of supervision during an emergency; (2) List the special duties and duty stations for each person on... by part 149 of this chapter; and (3) Identify the signals for calling persons to their emergency...
Plasma metabolomic study in Chinese patients with wet age-related macular degeneration.
Luo, Dan; Deng, Tingting; Yuan, Wei; Deng, Hui; Jin, Ming
2017-09-06
Age-related macular degeneration (AMD) is a leading disease associated with blindness. It has a high incidence and complex pathogenesis. We aimed to study the metabolomic characteristics in Chinese patients with wet AMD by analyzing the morning plasma of 20 healthy controls and 20 wet AMD patients for metabolic differences. We used ultra-high-pressure liquid chromatography and quadrupole-time-of-flight mass spectrometry for this analysis. The relationship of these differences with AMD pathophysiology was also assessed. Remaining data were normalized using Pareto scaling, and then valid data were handled using multivariate data analysis with MetaboAnalysis software, including unsupervised principal component analysis and supervised partial least squares-discriminate analysis. The purpose of the present work was to identify significant metabolites for the analyses. Hierarchical clustering was conducted to identify metabolites that differed between the two groups. Significant metabolites were then identified using the established database, and features were mapped on the Kyoto Encyclopedia of Genes and Genomes. A total of 5443 ion peaks were detected, all of them attributable to the same 10 metabolites. These included some amino acids, isomaltose, hydrocortisone, and biliverdin. The heights of these peaks differed significantly between the two groups. The biosynthesis of amino acids pathways also differed profoundly between patients with wet AMD and controls. These findings suggested that metabolic profiles and and pathways differed between wet AMD and controls and may provide promising new targets for AMD-directed therapeutics and diagnostics.
Dexter, Franklin; Masursky, Danielle; Hindman, Bradley J
2015-01-01
At many facilities in the United States, supervision of Certified Registered Nurse Anesthetists (CRNAs) is a major daily responsibility of anesthesiologists. We use the term "supervision" to include clinical oversight functions directed toward assuring the quality of clinical care whenever the anesthesiologist is not the sole anesthesia care provider. In our department, the supervision provided by each anesthesiologist working in operating rooms is evaluated each day by the CRNA(s) and anesthesiology resident(s) with whom they worked the previous day. The evaluations utilize the 9 questions developed by de Oliveira Filho for residents to assess anesthesiologist supervision. Each question is answered on a 4-point Likert scale (1 = never, 2 = rarely, 3 = frequently, and 4 = always). We evaluated the reliability and validity of the instrument when used in daily practice by CRNAs. The data set included all 7273 daily supervision scores and 1088 comments of 77 anesthesiologists provided by 49 CRNAs, as well as the 6246 scores and 681 comments provided by 62 residents, for dates of service between July 1, 2013, and June 30, 2014. Reliability of the instrument was assessed using its internal consistency. Content analysis was used to associate supervision scores (i.e., mean of the 9 answers) and presence of the verbs "see" or "saw" combined with negation in comments (e.g., "I did not see the anesthesiologist during the case(s) together"). Results are reported as the mean ± SE from among the 6 two-month periods. Supervision scores <2 were provided for 7.2% ± 0.4% of assessments and scores <3 were provided for 36.6% ± 1.1% of assessments, by 18.2 ± 0.9 and 34.0 ± 0.6 CRNAs, respectively (i.e., low scores were not attributable to just a few CRNAs or anesthesiologists). These frequencies were greater than for trainees (anesthesiology residents) (both P < 0.0001). No single question among the 9 questions in the supervision instrument explained CRNA supervision scores <2 (or <3) because of substantial (expected) interquestion correlation. Cronbach's alpha equaled 0.895 ± 0.003 among the 6 two-month periods. Among the CRNA evaluations that included a written comment, the Cronbach's alpha was 0.907 ± 0.003. Thus, like for anesthesiology residents, when used by CRNAs, the questions measured a one-dimensional attribute. The presence of a comment containing the action verb "see" or "saw," with the focus theme ("I did not see …"), increased the odds of a CRNA providing a supervision score <2 (odds ratio = 74.2, P = 0.0003) and supervision score <3 (odds ratio = 48.2, P < 0.0001). Limiting consideration to scores with comments, there too was an association between these words and a score <2 (odds ratio = 19.4, P = 0.0003) and a score <3 (odds ratio = 31.5, P < 0.0001). In Iowa, substantial anesthesiologist presence is not required for CRNA billing. More comments containing "see" or "saw" were made by CRNAs rather than residents (n = 75 [97.4%] versus n = 2 [2.6%], respectively, P < 0.0001), indicating face validity of the analysis. If some of the 9 questions were not perceived by the CRNAs as relevant to their interprofessional interactions, Cronbach's alpha would be low, not the 0.907 ± 0.003, above. Similarly, one or more of the individual questions would also not routinely be scored at its upper boundary of 4.0 ("always"). This was not so, being as the score was 4.0 for 24.9% ± 0.3% of the CRNA evaluations, and that score of 4.0 was more common than even the next most common combination of scores (P < 0.0001). The de Oliveira Filho supervision instrument was designed for use by residents. Our results show that the instrument also is reliable and valid when used by CRNAs. This is important given our previous finding that the CRNA:MD ratio had no correlation with the level of supervision provided.
Barreira, João C M; Casal, Susana; Ferreira, Isabel C F R; Peres, António M; Pereira, José Alberto; Oliveira, M Beatriz P P
2012-09-26
Almonds harvested in three years in Trás-os-Montes (Portugal) were characterized to find differences among Protected Designation of Origin (PDO) Amêndoa Douro and commercial non-PDO cultivars. Nutritional parameters, fiber (neutral and acid detergent fibers, acid detergent lignin, and cellulose), fatty acids, triacylglycerols (TAG), and tocopherols were evaluated. Fat was the major component, followed by carbohydrates, protein, and moisture. Fatty acids were mostly detected as monounsaturated and polyunsaturated forms, with relevance of oleic and linoleic acids. Accordingly, 1,2,3-trioleoylglycerol and 1,2-dioleoyl-3-linoleoylglycerol were the major TAG. α-Tocopherol was the leading tocopherol. To verify statistical differences among PDO and non-PDO cultivars independent of the harvest year, data were analyzed through an analysis of variance, a principal component analysis, and a linear discriminant analysis (LDA). These differences identified classification parameters, providing an important tool for authenticity purposes. The best results were achieved with TAG analysis coupled with LDA, which proved its effectiveness to discriminate almond cultivars.
Spatial pattern recognition of seismic events in South West Colombia
NASA Astrophysics Data System (ADS)
Benítez, Hernán D.; Flórez, Juan F.; Duque, Diana P.; Benavides, Alberto; Lucía Baquero, Olga; Quintero, Jiber
2013-09-01
Recognition of seismogenic zones in geographical regions supports seismic hazard studies. This recognition is usually based on visual, qualitative and subjective analysis of data. Spatial pattern recognition provides a well founded means to obtain relevant information from large amounts of data. The purpose of this work is to identify and classify spatial patterns in instrumental data of the South West Colombian seismic database. In this research, clustering tendency analysis validates whether seismic database possesses a clustering structure. A non-supervised fuzzy clustering algorithm creates groups of seismic events. Given the sensitivity of fuzzy clustering algorithms to centroid initial positions, we proposed a methodology to initialize centroids that generates stable partitions with respect to centroid initialization. As a result of this work, a public software tool provides the user with the routines developed for clustering methodology. The analysis of the seismogenic zones obtained reveals meaningful spatial patterns in South-West Colombia. The clustering analysis provides a quantitative location and dispersion of seismogenic zones that facilitates seismological interpretations of seismic activities in South West Colombia.
Khanmohammadi, Mohammadreza; Bagheri Garmarudi, Amir; Samani, Simin; Ghasemi, Keyvan; Ashuri, Ahmad
2011-06-01
Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) microspectroscopy was applied for detection of colon cancer according to the spectral features of colon tissues. Supervised classification models can be trained to identify the tissue type based on the spectroscopic fingerprint. A total of 78 colon tissues were used in spectroscopy studies. Major spectral differences were observed in 1,740-900 cm(-1) spectral region. Several chemometric methods such as analysis of variance (ANOVA), cluster analysis (CA) and linear discriminate analysis (LDA) were applied for classification of IR spectra. Utilizing the chemometric techniques, clear and reproducible differences were observed between the spectra of normal and cancer cases, suggesting that infrared microspectroscopy in conjunction with spectral data processing would be useful for diagnostic classification. Using LDA technique, the spectra were classified into cancer and normal tissue classes with an accuracy of 95.8%. The sensitivity and specificity was 100 and 93.1%, respectively.
Berggren, Ingela; Severinsson, Elisabeth
2003-03-01
The aim of the study was to explore the decision-making style and ethical approach of nurse supervisors by focusing on their priorities and interventions in the supervision process. Clinical supervision promotes ethical awareness and behaviour in the nursing profession. A focus group comprised of four clinical nurse supervisors with considerable experience was studied using qualitative hermeneutic content analysis. The essence of the nurse supervisors' decision-making style is deliberations and priorities. The nurse supervisors' willingness, preparedness, knowledge and awareness constitute and form their way of creating a relationship. The nurse supervisors' ethical approach focused on patient situations and ethical principles. The core components of nursing supervision interventions, as demonstrated in supervision sessions, are: guilt, reconciliation, integrity, responsibility, conscience and challenge. The nurse supervisors' interventions involved sharing knowledge and values with the supervisees and recognizing them as nurses and human beings. Nurse supervisors frequently reflected upon the ethical principle of autonomy and the concept and substance of integrity. The nurse supervisors used an ethical approach that focused on caring situations in order to enhance the provision of patient care. They acted as role models, shared nursing knowledge and ethical codes, and focused on patient related situations. This type of decision-making can strengthen the supervisees' professional identity. The clinical nurse supervisors in the study were experienced and used evaluation decisions as their form of clinical decision-making activity. The findings underline the need for further research and greater knowledge in order to improve the understanding of the ethical approach to supervision.
Courneya, Kerry S; Friedenreich, Christine M; Franco-Villalobos, Conrado; Crawford, Jennifer J; Chua, Neil; Basi, Sanraj; Norris, Mary K; Reiman, Tony
2015-02-01
Few randomized controlled trials in exercise oncology have examined survival outcomes. Here, we report an exploratory follow-up of progression-free survival (PFS) from the Healthy Exercise for Lymphoma Patients (HELP) Trial. The HELP Trial randomized 122 lymphoma patients between 2005 and 2008 to either control (n = 62) or 12 weeks of supervised aerobic exercise (n = 60). PFS events were abstracted from medical records in 2013. In addition to the randomized comparison, we explored the effects of exercise adherence (<80 % vs. ≥80 %) and control group crossover (no vs. yes). After a median follow-up of 61 months (interquartile range 36-67), the adjusted 5-year PFS was 64.8 % for the exercise group compared with 65.0 % for the control group (Hazard ratio [HR] 1.01, 95 % CI 0.51-2.01, p = 0.98). In the secondary analysis, the adjusted 5-year PFS was 59.0 % in the control group without crossover compared with 69.2 % for the control group with crossover (HR 0.68, 95 % CI 0.22-2.06, p = 0.49), 67.7 % for the exercise group with <80 % adherence (HR 0.72, 95 % CI 0.28-1.85, p = 0.50), and 68.4 % for the exercise group with ≥80 % adherence (HR 0.70, 95 % CI 0.32-1.56, p = 0.39). In a post hoc analysis combining the three groups that received supervised exercise, the adjusted 5-year PFS for the supervised exercise groups was 68.5 % compared with 59.0 % for the group that received no supervised exercise (HR 0.70, 95 % CI 0.35-1.39, p = 0.31). This exploratory follow-up of the HELP Trial suggests that supervised aerobic exercise may be associated with improved PFS in lymphoma patients. Larger trials designed to answer this question are needed.
Carlin, Charles H.; Milam, Jennifer L.; Carlin, Emily L.; Owen, Ashley
2012-01-01
E-supervision has a potential role in addressing speech-language personnel shortages in rural and difficult to staff school districts. The purposes of this article are twofold: to determine how e-supervision might support graduate speech-language pathologist (SLP) interns placed in rural, remote, and difficult to staff public school districts; and, to investigate interns’ perceptions of in-person supervision compared to e-supervision. The study used a mixed methodology approach and collected data from surveys, supervision documents and records, and interviews. The results showed the use of e-supervision allowed graduate SLP interns to be adequately supervised across a variety of clients and professional activities in a manner that was similar to in-person supervision. Further, e-supervision was perceived as a more convenient and less stressful supervision format when compared to in-person supervision. Other findings are discussed and implications and limitations provided. PMID:25945201
A review of supervised machine learning applied to ageing research.
Fabris, Fabio; Magalhães, João Pedro de; Freitas, Alex A
2017-04-01
Broadly speaking, supervised machine learning is the computational task of learning correlations between variables in annotated data (the training set), and using this information to create a predictive model capable of inferring annotations for new data, whose annotations are not known. Ageing is a complex process that affects nearly all animal species. This process can be studied at several levels of abstraction, in different organisms and with different objectives in mind. Not surprisingly, the diversity of the supervised machine learning algorithms applied to answer biological questions reflects the complexities of the underlying ageing processes being studied. Many works using supervised machine learning to study the ageing process have been recently published, so it is timely to review these works, to discuss their main findings and weaknesses. In summary, the main findings of the reviewed papers are: the link between specific types of DNA repair and ageing; ageing-related proteins tend to be highly connected and seem to play a central role in molecular pathways; ageing/longevity is linked with autophagy and apoptosis, nutrient receptor genes, and copper and iron ion transport. Additionally, several biomarkers of ageing were found by machine learning. Despite some interesting machine learning results, we also identified a weakness of current works on this topic: only one of the reviewed papers has corroborated the computational results of machine learning algorithms through wet-lab experiments. In conclusion, supervised machine learning has contributed to advance our knowledge and has provided novel insights on ageing, yet future work should have a greater emphasis in validating the predictions.
Rosenbluth, Glenn; Tabas, Jeffrey A; Baron, Robert B
2016-01-01
Residents are required to engage in quality improvement (QI) activities, which requires faculty engagement. Because of increasing program requirements and clinical demands, faculty may be resistant to taking on additional teaching and supervisory responsibilities without incentives. The authors sought to create an authentic benefit for University of California, San Francisco (UCSF) Pediatrics Residency Training Program faculty who supervise pediatrics residents' QI projects by offering maintenance of certification (MOC) Part 4 (Performance in Practice) credit. The authors identified MOC as an ideal framework to both more actively engage faculty who were supervising QI projects and provide incentives for doing so. To this end, in 2011, the authors designed an MOC portfolio program which included faculty development, active supervision of residents, and QI projects designed to improve patient care. The UCSF Pediatrics Residency Training Program's Portfolio Sponsor application was approved by the American Board of Pediatrics (ABP) in 2012, and faculty whose projects were included in the application were granted MOC Part 4 credit. As of December 2013, six faculty had received MOC Part 4 credit for their supervision of residents' QI projects. Based largely on the success of this program, UCSF has transitioned to the MOC portfolio program administered through the American Board of Medical Specialties, which allows the organization to offer MOC Part 4 credit from multiple specialty boards including the ABP. This may require refinements to screening, over sight, and reporting structures to ensure the MOC standards are met. Ongoing faculty development will be essential.
An Approach to Supervision for Doctoral and Entry-Level Group Counseling Students
ERIC Educational Resources Information Center
Walsh, Robyn; Bambacus, Elizabeth; Gibson, Donna
2017-01-01
The purpose of this article is to provide a supervision approach to experiential groups that replaces professors with doctoral students in the chain of supervision, enlists a faculty member to provide supervision of supervision to the doctoral students, and translates supervision theory to meet the unique needs of group counseling supervision.…
Development of an Integrated Metabolomic Profiling Approach for Infectious Diseases Research
Lv, Haitao; Hung, Chia S.; Chaturvedi, Kaveri S.; Hooton, Thomas M.; Henderson, Jeffrey P.
2013-01-01
Metabolomic profiling offers direct insights into the chemical environment and metabolic pathway activities at sites of human disease. During infection, this environment may receive important contributions from both host and pathogen. Here we apply untargeted metabolomics approach to identify compounds associated with an E. coli urinary tract infection population. Correlative and structural data from minimally processed samples were obtained using an optimized LC-MS platform capable of resolving ∼2300 molecular features. Principal components analysis readily distinguished patient groups and multiple supervised chemometric analyses resolved robust metabolomic shifts between groups. These analyses revealed nine compounds whose provisional structures suggest candidate infection-associated endocrine, catabolic, and lipid pathways. Several of these metabolite signatures may derive from microbial processing of host metabolites. Overall, this study highlights the ability of metabolomic approaches to directly identify compounds encountered by, and produced from, bacterial pathogens within human hosts. PMID:21922104
Using soft-hard fusion for misinformation detection and pattern of life analysis in OSINT
NASA Astrophysics Data System (ADS)
Levchuk, Georgiy; Shabarekh, Charlotte
2017-05-01
Today's battlefields are shifting to "denied areas", where the use of U.S. Military air and ground assets is limited. To succeed, the U.S. intelligence analysts increasingly rely on available open-source intelligence (OSINT) which is fraught with inconsistencies, biased reporting and fake news. Analysts need automated tools for retrieval of information from OSINT sources, and these solutions must identify and resolve conflicting and deceptive information. In this paper, we present a misinformation detection model (MDM) which converts text to attributed knowledge graphs and runs graph-based analytics to identify misinformation. At the core of our solution is identification of knowledge conflicts in the fused multi-source knowledge graph, and semi-supervised learning to compute locally consistent reliability and credibility scores for the documents and sources, respectively. We present validation of proposed method using an open source dataset constructed from the online investigations of MH17 downing in Eastern Ukraine.
Sonographic identification of peripheral nerves in the forearm
Jackson, Saundra A.; Derr, Charlotte; De Lucia, Anthony; Harris, Marvin; Closser, Zuheily; Miladinovic, Branko; Mhaskar, Rahul; Jorgensen, Theresa; Green, Lori
2016-01-01
Background: With the growing utilization of ultrasonography in emergency medicine combined with the concern over adequate pain management in the emergency department (ED), ultrasound guidance for peripheral nerve blockade in ED is an area of increasing interest. The medical literature has multiple reports supporting the use of ultrasound guidance in peripheral nerve blocks. However, to perform a peripheral nerve block, one must first be able to reliably identify the specific nerve before the procedure. Objective: The primary purpose of this study is to describe the number of supervised peripheral nerve examinations that are necessary for an emergency medicine physician to gain proficiency in accurately locating and identifying the median, radial, and ulnar nerves of the forearm via ultrasound. Methods: The proficiency outcome was defined as the number of attempts before a resident is able to correctly locate and identify the nerves on ten consecutive examinations. Didactic education was provided via a 1 h lecture on forearm anatomy, sonographic technique, and identification of the nerves. Participants also received two supervised hands-on examinations for each nerve. Count data are summarized using percentages or medians and range. Random effects negative binomial regression was used for modeling panel count data. Results: Complete data for the number of attempts, gender, and postgraduate year (PGY) training year were available for 38 residents. Nineteen males and 19 females performed examinations. The median PGY year in practice was 3 (range 1–3), with 10 (27%) in year 1, 8 (22%) in year 2, and 19 (51%) in year 3 or beyond. The median number (range) of required supervised attempts for radial, median, and ulnar nerves was 1 (0–12), 0 (0–10), and 0 (0–17), respectively. Conclusion: We can conclude that the maximum number of supervised attempts to achieve accurate nerve identification was 17 (ulnar), 12 (radial), and 10 (median) in our study. The only significant association was found between years in practice and proficiency (P = 0.025). We plan to expound upon this research with an additional future study that aims to assess the physician's ability to adequately perform peripheral nerve blocks in efforts to decrease the need for more generalized procedural sedation. PMID:27904260
Image analysis and mathematical modelling for the supervision of the dough fermentation process
NASA Astrophysics Data System (ADS)
Zettel, Viktoria; Paquet-Durand, Olivier; Hecker, Florian; Hitzmann, Bernd
2016-10-01
The fermentation (proof) process of dough is one of the quality-determining steps in the production of baking goods. Beside the fluffiness, whose fundaments are built during fermentation, the flavour of the final product is influenced very much during this production stage. However, until now no on-line measurement system is available, which can supervise this important process step. In this investigation the potential of an image analysis system is evaluated, that enables the determination of the volume of fermented dough pieces. The camera is moving around the fermenting pieces and collects images from the objects by means of different angles (360° range). Using image analysis algorithms the volume increase of individual dough pieces is determined. Based on a detailed mathematical description of the volume increase, which based on the Bernoulli equation, carbon dioxide production rate of yeast cells and the diffusion processes of carbon dioxide, the fermentation process is supervised. Important process parameters, like the carbon dioxide production rate of the yeast cells and the dough viscosity can be estimated just after 300 s of proofing. The mean percentage error for forecasting the further evolution of the relative volume of the dough pieces is just 2.3 %. Therefore, a forecast of the further evolution can be performed and used for fault detection.
Pekkala, Timo; Hall, Anette; Lötjönen, Jyrki; Mattila, Jussi; Soininen, Hilkka; Ngandu, Tiia; Laatikainen, Tiina; Kivipelto, Miia; Solomon, Alina
2016-01-01
Background and objective: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study. Methods: The CAIDE study was based on previous population-based midlife surveys. CAIDE participants were re-examined twice in late-life, and the first late-life re-examination was used as baseline for the present study. The main study population included 709 cognitively normal subjects at first re-examination who returned to the second re-examination up to 10 years later (incident dementia n = 39). An extended population (n = 1009, incident dementia 151) included non-participants/non-survivors (national registers data). DSI was used to develop a dementia index based on first re-examination assessments. Performance in predicting dementia was assessed as area under the ROC curve (AUC). Results: AUCs for DSI were 0.79 and 0.75 for main and extended populations. Included predictors were cognition, vascular factors, age, subjective memory complaints, and APOE genotype. Conclusion: The supervised machine learning method performed well in identifying comprehensive profiles for predicting dementia development up to 10 years later. DSI could thus be useful for identifying individuals who are most at risk and may benefit from dementia prevention interventions. PMID:27802228
Ambroise, Jérôme; Robert, Annie; Macq, Benoit; Gala, Jean-Luc
2012-01-06
An important challenge in system biology is the inference of biological networks from postgenomic data. Among these biological networks, a gene transcriptional regulatory network focuses on interactions existing between transcription factors (TFs) and and their corresponding target genes. A large number of reverse engineering algorithms were proposed to infer such networks from gene expression profiles, but most current methods have relatively low predictive performances. In this paper, we introduce the novel TNIFSED method (Transcriptional Network Inference from Functional Similarity and Expression Data), that infers a transcriptional network from the integration of correlations and partial correlations of gene expression profiles and gene functional similarities through a supervised classifier. In the current work, TNIFSED was applied to predict the transcriptional network in Escherichia coli and in Saccharomyces cerevisiae, using datasets of 445 and 170 affymetrix arrays, respectively. Using the area under the curve of the receiver operating characteristics and the F-measure as indicators, we showed the predictive performance of TNIFSED to be better than unsupervised state-of-the-art methods. TNIFSED performed slightly worse than the supervised SIRENE algorithm for the target genes identification of the TF having a wide range of yet identified target genes but better for TF having only few identified target genes. Our results indicate that TNIFSED is complementary to the SIRENE algorithm, and particularly suitable to discover target genes of "orphan" TFs.
Hayashino, Yasuaki; Jackson, Jeffrey L; Fukumori, Norio; Nakamura, Fumiaki; Fukuhara, Shunichi
2012-12-01
Our study's purpose was to perform a systematic review to assess the effect of supervised exercise interventions on lipid profiles and blood pressure control. We searched electronic databases and selected studies that evaluated the effect of supervised exercise intervention on cardiovascular risk factors in adult people with type 2 diabetes. We used random effect models to derive weighted mean differences of exercise on lipid profiles and blood pressure control. Forty-two RCTs (2808 subjects) met inclusion criteria and are included in our meta-analysis. Structured exercise was associated with a change in systolic blood pressure (SBP) of -2.42 mmHg (95% CI, -4.39 to -0.45 mmHg), diastolic blood pressure (DBP) of -2.23 mmHg (95% CI, -3.21 to -1.25 mmHg), high-density lipoprotein cholesterol (HDL-C) of 0.04 mmol/L (95% CI, 0.02-0.07 mmol/L), and low-density lipoprotein cholesterol (LDL-C) of -0.16 mmol/L (95% CI, -0.30 to -0.01 mmol/L). Heterogeneity was partially explained by age, dietary co-intervention and the duration and intensity of the exercise. Supervised exercise is effective in improving blood pressure control, lowering LDL-C, and elevating HDL-C levels in people with diabetes. Physicians should recommend exercise for their adult patients with diabetes who can safely do so. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Cognitive Inference Device for Activity Supervision in the Elderly
2014-01-01
Human activity, life span, and quality of life are enhanced by innovations in science and technology. Aging individual needs to take advantage of these developments to lead a self-regulated life. However, maintaining a self-regulated life at old age involves a high degree of risk, and the elderly often fail at this goal. Thus, the objective of our study is to investigate the feasibility of implementing a cognitive inference device (CI-device) for effective activity supervision in the elderly. To frame the CI-device, we propose a device design framework along with an inference algorithm and implement the designs through an artificial neural model with different configurations, mapping the CI-device's functions to minimise the device's prediction error. An analysis and discussion are then provided to validate the feasibility of CI-device implementation for activity supervision in the elderly. PMID:25405211
Supervised exercise versus non-supervised exercise for reducing weight in obese adults.
Nicolaï, S P A; Kruidenier, L M; Leffers, P; Hardeman, R; Hidding, A; Teijink, J A W
2009-03-01
The prevalence of obesity is rising. Because obesity is positively associated with many health related risks and negatively associated with life expectancy this is a threat to public health. Physical exercise is a well known method to lose fat mass. Due to shame of their appearance, bad general condition and social isolation, starting and continuing physical exercise tends to be problematic for obese adults. A supervised training program could be useful to overcome such negative factors. In this study we hypothesized that offering a supervised exercise program for obese adults would lead to greater benefits in body fat and total body mass reduction than a non-specific oral advice to increase their physical activity. Thirty-four participants were randomised to a supervised exercise program group (N.=17) and a control group (N.=17). Fifteen candidates in the intervention group and 12 in the control group appeared for baseline measurements and bought an all inclusive sports pass to a health club for Euro 10, per month. The control group just received the oral advice to increase their physical activity at their convenience. The supervised exercise group received biweekly exercise sessions of 2 hours with an estimated energy expenditure of 2 500 kJ per hour. Both groups received no dietary advice. After 4 months the overall decrease in body mass in the intervention group was 8.0 kg (SD 6.2) and the decrease in body fat was 6.2 kg (SD 4.5). The control group lost 2.8 kg overall (SD 4.2) and the decrease in body fat was 1.7 kg (SD 3.1). Correction for differences between groups in gender and age by multiple linear regression analysis showed significantly greater loss of total body mass (P = 0.001) and fat mass (P =0.002) in the intervention group compared with the control group. Stimulation of physical activity alone seems to result in a slight short term body mass and fat mass reduction in obese adults who are eager to lose weight. Supervised exercise under supervision of a qualified fitness instructor leads to a larger decrease.
2016-12-01
Reports an error in "Is supervision necessary? Examining the effects of internet-based CBT training with and without supervision" by Sarah G. Rakovshik, Freda McManus, Maria Vazquez-Montes, Kate Muse and Dennis Ougrin ( Journal of Consulting and Clinical Psychology , 2016[Mar], Vol 84[3], 191-199). In the article, the department and affiliation were misspelled for author Kate Muse. The department and affiliation should have read Psychology Department, University of Worcester. All versions of this article has been corrected. (The following abstract of the original article appeared in record 2016-03513-001.) Objective: To investigate the effect of Internet-based training (IBT), with and without supervision, on therapists' (N = 61) cognitive-behavioral therapy (CBT) skills in routine clinical practice. Participants were randomized into 3 conditions: (1) Internet-based training with use of a consultation worksheet (IBT-CW); (2) Internet-based training with CBT supervision via Skype (IBT-S); and (3) "delayed-training" controls (DTs), who did not receive the training until all data collection was completed. The IBT participants received access to training over a period of 3 months. CBT skills were evaluated at pre-, mid- and posttraining/wait using assessor competence ratings of recorded therapy sessions. Hierarchical linear analysis revealed that the IBT-S participants had significantly greater CBT competence at posttraining than did IBT-CW and DT participants at both the mid- and posttraining/wait assessment points. There were no significant differences between IBT-CW and the delayed (no)-training DTs. IBT programs that include supervision may be a scalable and effective method of disseminating CBT into routine clinical practice, particularly for populations without ready access to more-traditional "live" methods of training. There was no evidence for a significant effect of IBT without supervision over a nontraining control, suggesting that merely providing access to IBT programs may not be an effective method of disseminating CBT to routine clinical practice. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Probst, Thomas; Jakob, Marion; Kaufmann, Yvonne M; Müller-Neng, Julia M B; Bohus, Martin; Weck, Florian
2018-04-01
This secondary analysis of a randomized controlled trial investigated whether bug-in-the-eye (BITE) supervision (live computer-based supervision during a psychotherapy session) affects the manner in which patients and therapists experience general change mechanisms (GCMs) during cognitive-behavioral therapy (CBT). A total of 23 therapists were randomized either to the BITE condition or the control condition (delayed video-based [DVB] supervision). After each session, both patients (BITE: n = 19; DVB: n = 23) and therapists (BITE: n = 11; DVB: n = 12) completed the Helping Alliance Questionnaire (HAQ) and the Bernese Post Session Report (BPSR). The HAQ total score and the 3 secondary factors of the BPSR (interpersonal experiences, intrapersonal experiences, problem actuation) functioned as GCMs. Multilevel models were performed. For patients, GCMs did not develop differently between BITE and DVB during CBT. Therapists rated the alliance as well as interpersonal and intrapersonal experiences not significantly different between BITE and DVB during CBT, but they perceived problem actuation to increase significantly more in BITE than in DVB (p < .05). BITE supervision might be helpful in encouraging CBT therapists to apply interventions, which focus on the activation of relevant problems and related emotions. © 2017 Wiley Periodicals, Inc.
Leslie, Hannah H; Gage, Anna; Nsona, Humphreys; Hirschhorn, Lisa R; Kruk, Margaret E
2016-09-01
In-service training courses and supportive supervision of health workers are among the most common interventions to improve the quality of health care in low- and middle-income countries. Despite extensive investment from donors, evaluations of the long-term effect of these two interventions are scarce. We used nationally representative surveys of health systems in seven countries in sub-Saharan Africa to examine the association of in-service training and supervision with provider quality in antenatal and sick child care. The results of our analysis showed that observed quality of care was poor, with fewer than half of evidence-based actions completed by health workers, on average. In-service training and supervision were associated with quality of sick child care; they were associated with quality of antenatal care only when provided jointly. All associations were modest-at most, improvements related to interventions were equivalent to 2 additional provider actions out of the 18-40 actions expected per visit. In-service training and supportive supervision as delivered were not sufficient to meaningfully improve the quality of care in these countries. Greater attention to the quality of health professional education and national health system performance will be required to provide the standard of health care that patients deserve. Project HOPE—The People-to-People Health Foundation, Inc.
Xu, Xie L; Kapoun, Ann M
2009-01-01
Background TGFβ has emerged as an attractive target for the therapeutic intervention of glioblastomas. Aberrant TGFβ overproduction in glioblastoma and other high-grade gliomas has been reported, however, to date, none of these reports has systematically examined the components of TGFβ signaling to gain a comprehensive view of TGFβ activation in large cohorts of human glioma patients. Methods TGFβ activation in mammalian cells leads to a transcriptional program that typically affects 5–10% of the genes in the genome. To systematically examine the status of TGFβ activation in high-grade glial tumors, we compiled a gene set of transcriptional response to TGFβ stimulation from tissue culture and in vivo animal studies. These genes were used to examine the status of TGFβ activation in high-grade gliomas including a large cohort of glioblastomas. Unsupervised and supervised classification analysis was performed in two independent, publicly available glioma microarray datasets. Results Unsupervised and supervised classification using the TGFβ-responsive gene list in two independent glial tumor gene expression data sets revealed various levels of TGFβ activation in these tumors. Among glioblastomas, one of the most devastating human cancers, two subgroups were identified that showed distinct TGFβ activation patterns as measured from transcriptional responses. Approximately 62% of glioblastoma samples analyzed showed strong TGFβ activation, while the rest showed a weak TGFβ transcriptional response. Conclusion Our findings suggest heterogeneous TGFβ activation in glioblastomas, which may cause potential differences in responses to anti-TGFβ therapies in these two distinct subgroups of glioblastomas patients. PMID:19192267
Knierim, Shanna Doucette; Moore, Susan L; Raghunath, Silvia Gutiérrez; Yun, Lourdes; Boles, Richard E; Davidson, Arthur J
2018-06-23
Objective This qualitative study explored parent and patient navigator perspectives of home visitation as part of a childhood obesity program in a low-income, largely Latino population. Methods Three patient navigators and 25 parents who participated in a home-based, childhood obesity program participated in focus groups or interviews. Emergent themes were identified through content analysis of qualitative data. Results Three overall themes were identified. Patient navigators and parents perceived: (1) enabling characteristics of home-based program delivery which facilitated family participation and/or behavior change (i.e., convenience, increased accountability, inclusion of household members, delivery in a familiar, intimate setting, and individualized pace and content); (2) logistic and cultural challenges to home-based delivery which reduced family participation and program reach (i.e., difficulties scheduling visits, discomfort with visitors in the home, and confusion about the patient navigator's role); and (3) remediable home-based delivery challenges which could be ameliorated by additional study staff (e.g., supervision of children, safety concerns) or through organized group sessions. Both patient navigators and participating parents discussed an interest in group classes with separate, supervised child-targeted programming and opportunities to engage with other families for social support. Conclusions for Practice A home visitation program delivering a pediatric obesity prevention curriculum in Denver was convenient and held families accountable, but posed scheduling difficulties and raised safety concerns. Conducting home visits in pairs, adding obesity prevention curriculum to existing home visiting programs, or pairing the convenience of home visits with group classes may be future strategies to explore.
Osterholt, Dawn M; Onikpo, Faustin; Lama, Marcel; Deming, Michael S; Rowe, Alexander K
2009-01-01
Background Pneumonia is a leading cause of death among children under five years of age. The Integrated Management of Childhood Illness strategy can improve the quality of care for pneumonia and other common illnesses in developing countries, but adherence to these guidelines could be improved. We evaluated an intervention in Benin to support health worker adherence to the guidelines after training, focusing on pneumonia case management. Methods We conducted a randomized trial. After a health facility survey in 1999 to assess health care quality before Integrated Management of Childhood Illness training, health workers received training plus either study supports (job aids, non-financial incentives and supervision of workers and supervisors) or "usual" supports. Follow-up surveys were conducted in 2001, 2002 and 2004. Outcomes were indicators of health care quality for Integrated Management-defined pneumonia. Further analyses included a graphical pathway analysis and multivariable logistic regression modelling to identify factors influencing case-management quality. Results We observed 301 consultations of children with non-severe pneumonia that were performed by 128 health workers in 88 public and private health facilities. Although outcomes improved in both intervention and control groups, we found no statistically significant difference between groups. However, training proceeded slowly, and low-quality care from untrained health workers diluted intervention effects. Per-protocol analyses suggested that health workers with training plus study supports performed better than those with training plus usual supports (20.4 and 19.2 percentage-point improvements for recommended treatment [p = 0.08] and "recommended or adequate" treatment [p = 0.01], respectively). Both groups tended to perform better than untrained health workers. Analyses of treatment errors revealed that incomplete assessment and difficulties processing clinical findings led to missed pneumonia diagnoses, and missed diagnoses led to inadequate treatment. Increased supervision frequency was associated with better care (odds ratio for recommended treatment = 2.1 [95% confidence interval: 1.1-3.9] per additional supervisory visit). Conclusion Integrated Management of Childhood Illness training was useful, but insufficient, to achieve high-quality pneumonia case management. Our study supports led to additional improvements, although large gaps in performance still remained. A simple graphical pathway analysis can identify specific, common errors that health workers make in the case-management process; this information could be used to target quality improvement activities, such as supervision (ClinicalTrials.gov number NCT00510679). PMID:19712484
New developments in technology-assisted supervision and training: a practical overview.
Rousmaniere, Tony; Abbass, Allan; Frederickson, Jon
2014-11-01
Clinical supervision and training are now widely available online. In this article, three of the most accessible and widely adopted new developments in clinical supervision and training technology are described: Videoconference supervision, cloud-based file sharing software, and clinical outcome tracking software. Partial transcripts from two online supervision sessions are provided as examples of videoconference-based supervision. The benefits and limitations of technology in supervision and training are discussed, with an emphasis on supervision process, ethics, privacy, and security. Recommendations for supervision practice are made, including methods to enhance experiential learning, the supervisory working alliance, and online security. © 2014 Wiley Periodicals, Inc.
De Luca, Michele; Restuccia, Donatella; Clodoveo, Maria Lisa; Puoci, Francesco; Ragno, Gaetano
2016-07-01
Chemometric discrimination of extra virgin olive oils (EVOO) from whole and stoned olive pastes was carried out by using Fourier transform infrared (FTIR) data and partial least squares-discriminant analysis (PLS1-DA) approach. Four Italian commercial EVOO brands, all in both whole and stoned version, were considered in this study. The adopted chemometric methodologies were able to describe the different chemical features in phenolic and volatile compounds contained in the two types of oil by using unspecific IR spectral information. Principal component analysis (PCA) was employed in cluster analysis to capture data patterns and to highlight differences between technological processes and EVOO brands. The PLS1-DA algorithm was used as supervised discriminant analysis to identify the different oil extraction procedures. Discriminant analysis was extended to the evaluation of possible adulteration by addition of aliquots of oil from whole paste to the most valuable oil from stoned olives. The statistical parameters from external validation of all the PLS models were very satisfactory, with low root mean square error of prediction (RMSEP) and relative error (RE%). Copyright © 2016 Elsevier Ltd. All rights reserved.
Towards harmonized seismic analysis across Europe using supervised machine learning approaches
NASA Astrophysics Data System (ADS)
Zaccarelli, Riccardo; Bindi, Dino; Cotton, Fabrice; Strollo, Angelo
2017-04-01
In the framework of the Thematic Core Services for Seismology of EPOS-IP (European Plate Observing System-Implementation Phase), a service for disseminating a regionalized logic-tree of ground motions models for Europe is under development. While for the Mediterranean area the large availability of strong motion data qualified and disseminated through the Engineering Strong Motion database (ESM-EPOS), supports the development of both selection criteria and ground motion models, for the low-to-moderate seismic regions of continental Europe the development of ad-hoc models using weak motion recordings of moderate earthquakes is unavoidable. Aim of this work is to present a platform for creating application-oriented earthquake databases by retrieving information from EIDA (European Integrated Data Archive) and applying supervised learning models for earthquake records selection and processing suitable for any specific application of interest. Supervised learning models, i.e. the task of inferring a function from labelled training data, have been extensively used in several fields such as spam detection, speech and image recognition and in general pattern recognition. Their suitability to detect anomalies and perform a semi- to fully- automated filtering on large waveform data set easing the effort of (or replacing) human expertise is therefore straightforward. Being supervised learning algorithms capable of learning from a relatively small training set to predict and categorize unseen data, its advantage when processing large amount of data is crucial. Moreover, their intrinsic ability to make data driven predictions makes them suitable (and preferable) in those cases where explicit algorithms for detection might be unfeasible or too heuristic. In this study, we consider relatively simple statistical classifiers (e.g., Naive Bayes, Logistic Regression, Random Forest, SVMs) where label are assigned to waveform data based on "recognized classes" needed for our use case. These classes might be a simply binary case (e.g., "good for analysis" vs "bad") or more complex one (e.g., "good for analysis" vs "low SNR", "multi-event", "bad coda envelope"). It is important to stress the fact that our approach can be generalized to any use case providing, as in any supervised approach, an adequate training set of labelled data, a feature-set, a statistical classifier, and finally model validation and evaluation. Examples of use cases considered to develop the system prototype are the characterization of the ground motion in low seismic areas; harmonized spectral analysis across Europe for source and attenuation studies; magnitude calibration; coda analysis for attenuation studies.
Special Issue on Clinical Supervision: A Reflection
ERIC Educational Resources Information Center
Bernard, Janine M.
2010-01-01
This special issue about clinical supervision offers an array of contributions with disparate insights into the supervision process. Using a synergy of supervision model, the articles are categorized as addressing the infrastructure required for adequate supervision, the relationship dynamics endemic to supervision, or the process of delivering…
Involvement of surgical trainees in surgery for colorectal cancer and their effect on outcome.
Borowski, D W; Ratcliffe, A A; Bharathan, B; Gunn, A; Bradburn, D M; Mills, S J; Wilson, R G; Kelly, S B
2008-10-01
Surgical training in the UK is undergoing substantial changes. This study assessed: 1) the training opportunities available to trainees in operations for colorectal cancer, 2) the effect of colorectal specialization on training, and 3) the effect of consultant supervision on anastomotic complications, postoperative stay, operative mortality and 5-year survival. Unadjusted and adjusted comparisons of outcomes were made for unsupervised trainees, supervised trainees and consultants as the primary surgeon in 7411 operated patients included in the Northern Region Colorectal Cancer Audit between 1998 and 2002. Surgery was performed in 656 (8.8%) patients by unsupervised trainees and in 1578 (21.3%) patients by supervised trainees. Unsupervised operations reduced from 182 (12.4%) in 1998 to 82 (6.1%) in 2002 (P < 0.001). Consultants with a colorectal specialist interest were more likely than nonspecialists to be present at surgical resections (OR 1.35, 1.12-1.63, P = 0.001) and to provide supervised training (OR 1.34, 1.17-1.53, P < 0.001). Patients operated on by unsupervised trainees were more often high-risk patients, however, consultant presence was not significantly associated with operative mortality (OR 0.83, 0.63-1.09, P = 0.186) or survival (HR 1.02, 0.92-1.13, P = 0.735) in risk-adjusted analysis. Supervised trainees had a case-mix similar to consultants, with shorter length of hospital stay (11.4 vs 12.4 days, P < 0.001), but similar mortality (OR 0.90, 0.71-1.16, 0.418) and survival (HR 0.96, 0.89-1.05, P = 0.378). One third of patients were operated on by trainees, who were more likely to perform supervised resections in colorectal teams. There was no difference in anastomotic leaks rates, operative mortality or survival between unsupervised trainees, supervised trainees and consultants when case-mix adjustment was applied. This study would suggest that there is considerable underused training capacity available.
Ward, Helena; Gum, Lyn; Attrill, Stacie; Bramwell, Donald; Lindemann, Iris; Lawn, Sharon; Sweet, Linda
2017-01-06
Professional socialisation and identity arise from interactions occurring within university-based interprofessional education, and workplace-based interprofessional practice experience. However, it is unclear how closely language and concepts of academic learning situations align with workplace contexts for interprofessional learning. This paper reports on a study that brought together university-based educators responsible for teaching health professional students and health service-based practitioners who supervise students in the field. Interviews and focus groups with university-based educators and health service-base practitioners were used to explore perceptions of capabilities required for interprofessional practice. The qualitative data were then examined to explore similarities and differences in the language used by these groups. This analysis identified that there were language differences between the university-based educators and health service based practitioners involved in the project. The former demonstrated a curriculum lens, focusing on educational activities, student support and supervision. Conversely, health service-based practitioners presented a client-centred lens, with a focus on communication, professional disposition, attitude towards clients and co-workers, and authenticity of practice. Building on these insights, we theorise about the need for students to develop the self in order to be an interprofessional practitioner. The implications for health professional education in both university and workplace settings are explored.
The dynamics of Brazilian protozoology over the past century.
Elias, M Carolina; Floeter-Winter, Lucile M; Mena-Chalco, Jesus P
2016-01-01
Brazilian scientists have been contributing to the protozoology field for more than 100 years with important discoveries of new species such as Trypanosoma cruzi and Leishmania spp. In this work, we used a Brazilian thesis database (Coordination for the Improvement of Higher Education Personnel) covering the period from 1987-2011 to identify researchers who contributed substantially to protozoology. We selected 248 advisors by filtering to obtain researchers who supervised at least 10 theses. Based on a computational analysis of the thesis databases, we found students who were supervised by these scientists. A computational procedure was developed to determine the advisors' scientific ancestors using the Lattes Platform. These analyses provided a list of 1,997 researchers who were inspected through Lattes CV examination and allowed the identification of the pioneers of Brazilian protozoology. Moreover, we investigated the areas in which researchers who earned PhDs in protozoology are now working. We found that 68.4% of them are still in protozoology, while 16.7% have migrated to other fields. We observed that support for protozoology by national or international agencies is clearly correlated with the increase of scientists in the field. Finally, we described the academic genealogy of Brazilian protozoology by formalising the "forest" of Brazilian scientists involved in the study of protozoa and their vectors over the past century.
The dynamics of Brazilian protozoology over the past century
Elias, M Carolina; Floeter-Winter, Lucile M; Mena-Chalco, Jesus P
2016-01-01
Brazilian scientists have been contributing to the protozoology field for more than 100 years with important discoveries of new species such asTrypanosoma cruzi and Leishmania spp. In this work, we used a Brazilian thesis database (Coordination for the Improvement of Higher Education Personnel) covering the period from 1987-2011 to identify researchers who contributed substantially to protozoology. We selected 248 advisors by filtering to obtain researchers who supervised at least 10 theses. Based on a computational analysis of the thesis databases, we found students who were supervised by these scientists. A computational procedure was developed to determine the advisors’ scientific ancestors using the Lattes Platform. These analyses provided a list of 1,997 researchers who were inspected through Lattes CV examination and allowed the identification of the pioneers of Brazilian protozoology. Moreover, we investigated the areas in which researchers who earned PhDs in protozoology are now working. We found that 68.4% of them are still in protozoology, while 16.7% have migrated to other fields. We observed that support for protozoology by national or international agencies is clearly correlated with the increase of scientists in the field. Finally, we described the academic genealogy of Brazilian protozoology by formalising the “forest” of Brazilian scientists involved in the study of protozoa and their vectors over the past century. PMID:26814646
Lovrić, Robert; Piškorjanac, Silvija; Pekić, Vlasta; Vujanić, Jasenka; Ratković, Karolina Kramarić; Luketić, Suzana; Plužarić, Jadranka; Matijašić-Bodalec, Dubravka; Barać, Ivana; Žvanut, Boštjan
2016-07-01
Clinical practice is essential to nursing education as it provides experience with patients and work environments that prepare students for future work as nurses. The aim of this study was to translate the "Clinical Learning Environment, Supervision and Nurse Teacher" questionnaire in Croatian language and test its validity and reliability in practice. The study was performed at the Faculty of medicine, Josip Juraj Strossmayer University of Osijek, Croatia in April 2014. The translated questionnaire was submitted to 136 nursing students: 20 males and 116 females. Our results reflected a slightly different factor structure, consisting of four factors. All translated items of the original constructs "Supervisory relationship", "Role of nurse teacher" and "Leadership style of the ward manager" loaded on factor 1. Items of "Pedagogical atmosphere on the ward" are distributed on two factors (3 and 4). The items of "Premises of nursing on the ward" loaded on factor 2. Three items were identified as problematic and iteratively removed from the analysis. The translated version of the aforementioned questionnaire has properties suitable for the evaluation of clinical practice for nursing students within a Croatian context and reflects the specifics of the nursing clinical education in this country. Copyright © 2016 Elsevier Ltd. All rights reserved.
The need for innovative strategies to improve immunisation services in rural Zimbabwe.
Chadambuka, Addmore; Chimusoro, Anderson; Apollo, Tsitsilina; Tshimanga, Mufuta; Namusisi, Olivia; Luman, Elizabeth T
2012-01-01
Gokwe South, a rural district in Midlands Province, Zimbabwe, reported the lowest rate of immunisation coverage in the country in 2005: 55 per cent of children vaccinated with three doses of diphtheria/pertussis/tetanus vaccine (DPT3) and 35 per cent dropout between the first and third dose of DPT. In January 2007, the authors assessed local barriers to immunisation and proposed strategies to improve immunisation rates in the district, in the face of nationwide economic and political challenges. A situational analysis was performed to assess barriers to immunisation using focus-group discussions with health workers, key informant interviews with health management and community leaders, and desk reviews of records. Responses were categorised and solutions proposed. Health workers and key informants reported that immunisation service delivery was hampered by insufficient availability of gas for cold-chain equipment, limited transport and fuel to conduct basic activities, and inadequate staff and supervision. Improving coverage will require prioritising gas for vaccine cold-chain equipment, identifying reliable transportation or alternative transportation solutions, and increased staff, training and supervision. Local assessment is critical to pinpointing site-specific barriers, and innovative strategies are needed to overcome existing contextual challenges. © 2012 The Author(s). Disasters © Overseas Development Institute, 2012.
Pechak, Celia M; Black, Jill D
2014-02-01
Increasingly physical therapist students complete part of their clinical training outside of their home country. This trend is understudied. The purposes of this study were to: (1) explore, in depth, various international clinical education (ICE) programs; and (2) determine whether the Conceptual Model of Optimal International Service-Learning (ISL) could be applied or adapted to represent ICE. Qualitative content analysis was used to analyze ICE programs and consider modification of an existing ISL conceptual model for ICE. Fifteen faculty in the United States currently involved in ICE were interviewed. The interview transcriptions were systematically analyzed by two researchers. Three models of ICE practices emerged: (1) a traditional clinical education model where local clinical instructors (CIs) focus on the development of clinical skills; (2) a global health model where US-based CIs provide the supervision in the international setting, and learning outcomes emphasized global health and cultural competency; and (3) an ICE/ISL hybrid where US-based CIs supervise the students, and the foci includes community service. Additionally the data supported revising the ISL model's essential core conditions, components and consequence for ICE. The ICE conceptual model may provide a useful framework for future ICE program development and research.
ERIC Educational Resources Information Center
Jin, Lijun; Cox, Jackie L.
This study examined the effects of a clinical supervision course on cooperating teachers' supervision of student teachers. Participants were cooperating teachers enrolled in a clinical supervision class in which supervision strategies were introduced and modeled. Before supervision theories and techniques were introduced, participants completed…
Performance and Attitudes as a Function of Degree of Supervision in a School Laboratory Setting
ERIC Educational Resources Information Center
Kazanas, H. C.; Burns, G. G.
1977-01-01
High- and low-mental-ability secondary school students randomly divided into three supervision treatment groups (no supervision, supervision without verbal exchange from the teacher, and supervision with verbal exchange) showed no performance variations but evidenced better attitudes with the third supervision treatment. (MJB)
Direct Supervision in Outpatient Psychiatric Graduate Medical Education.
Galanter, Cathryn A; Nikolov, Roumen; Green, Norma; Naidoo, Shivana; Myers, Michael F; Merlino, Joseph P
2016-02-01
The authors describe a stimulus case that led training staff to examine and revise the supervision policy of the adult and child and adolescent psychiatry clinics. To inform the revisions, the authors reviewed the literature and national policies. The authors conducted a literature review in PubMed using the following criteria: Supervision, Residents, Training, Direct, and Indirect and a supplemental review in Academic Psychiatry. The authors reviewed institutional and Accreditation Council for Graduate Medical Education resident and fellow supervision policies to develop an outpatient and fellow supervision policy. Research is limited in psychiatry with three experimental articles demonstrating positive impact of direct supervision and several suggesting different techniques for direct supervision. In other areas of medicine, direct supervision is associated with improved educational and patient outcomes. The authors present details of our new supervision policy including triggers for direct supervision. The term direct supervision is relatively new in psychiatry and medical education. There is little published on the extent of implementation of direct supervision and on its impact on the educational experience of psychiatry trainees and other medical specialties. Direct supervision has been associated with improved educational and patient outcomes in nonpsychiatric fields of medicine. More research is needed on the implementation of, indications for, and effects of direct supervision on trainee education and on patient outcomes.
Cuppen, Bvj; Fritsch-Stork, Rde; Eekhout, I; de Jager, W; Marijnissen, A C; Bijlsma, Jwj; Custers, M; van Laar, J M; Lafeber, Fpjg; Welsing, Pmj
2018-01-01
In rheumatoid arthritis (RA), it is of major importance to identify non-responders to tumour necrosis factor-α inhibitors (TNFi) before starting treatment, to prevent a delay in effective treatment. We developed a protein score for the response to TNFi treatment in RA and investigated its predictive value. In RA patients eligible for biological treatment included in the BiOCURA registry, 53 inflammatory proteins were measured using xMAP® technology. A supervised cluster analysis method, partial least squares (PLS), was used to select the best combination of proteins. Using logistic regression, a predictive model containing readily available clinical parameters was developed and the potential of this model with and without the protein score to predict European League Against Rheumatism (EULAR) response was assessed using the area under the receiving operating characteristics curve (AUC-ROC) and the net reclassification index (NRI). For the development step (n = 65 patient), PLS revealed 12 important proteins: CCL3 (macrophage inflammatory protein, MIP1a), CCL17 (thymus and activation-regulated chemokine), CCL19 (MIP3b), CCL22 (macrophage-derived chemokine), interleukin-4 (IL-4), IL-6, IL-7, IL-15, soluble cluster of differentiation 14 (sCD14), sCD74 (macrophage migration inhibitory factor), soluble IL-1 receptor I, and soluble tumour necrosis factor receptor II. The protein score scarcely improved the AUC-ROC (0.72 to 0.77) and the ability to improve classification and reclassification (NRI = 0.05). In validation (n = 185), the model including protein score did not improve the AUC-ROC (0.71 to 0.67) or the reclassification (NRI = -0.11). No proteomic predictors were identified that were more suitable than clinical parameters in distinguishing TNFi non-responders from responders before the start of treatment. As the results of previous studies and this study are disparate, we currently have no proteomic predictors for the response to TNFi.
NASA Astrophysics Data System (ADS)
Bandeira, Lourenço; Ding, Wei; Stepinski, Tomasz F.
2012-01-01
Counting craters is a paramount tool of planetary analysis because it provides relative dating of planetary surfaces. Dating surfaces with high spatial resolution requires counting a very large number of small, sub-kilometer size craters. Exhaustive manual surveys of such craters over extensive regions are impractical, sparking interest in designing crater detection algorithms (CDAs). As a part of our effort to design a CDA, which is robust and practical for planetary research analysis, we propose a crater detection approach that utilizes both shape and texture features to identify efficiently sub-kilometer craters in high resolution panchromatic images. First, a mathematical morphology-based shape analysis is used to identify regions in an image that may contain craters; only those regions - crater candidates - are the subject of further processing. Second, image texture features in combination with the boosting ensemble supervised learning algorithm are used to accurately classify previously identified candidates into craters and non-craters. The design of the proposed CDA is described and its performance is evaluated using a high resolution image of Mars for which sub-kilometer craters have been manually identified. The overall detection rate of the proposed CDA is 81%, the branching factor is 0.14, and the overall quality factor is 72%. This performance is a significant improvement over the previous CDA based exclusively on the shape features. The combination of performance level and computational efficiency offered by this CDA makes it attractive for practical application.
The Need for Data-Informed Clinical Supervision in Substance Use Disorder Treatment
Ramsey, Alex T.; Baumann, Ana; Silver Wolf, David Patterson; Yan, Yan; Cooper, Ben; Proctor, Enola
2017-01-01
Background Effective clinical supervision is necessary for high-quality care in community-based substance use disorder treatment settings, yet little is known about current supervision practices. Some evidence suggests that supervisors and counselors differ in their experiences of clinical supervision; however, the impact of this misalignment on supervision quality is unclear. Clinical information monitoring systems may support supervision in substance use disorder treatment, but the potential use of these tools must first be explored. Aims First, this study examines the extent to which misaligned supervisor-counselor perceptions impact supervision satisfaction and emphasis on evidence-based treatments. This study also reports on formative work to develop a supervision-based clinical dashboard, an electronic information monitoring system and data visualization tool providing real-time clinical information to engage supervisors and counselors in a coordinated and data-informed manner, help align supervisor-counselor perceptions about supervision, and improve supervision effectiveness. Methods Clinical supervisors and frontline counselors (N=165) from five Midwestern agencies providing substance abuse services completed an online survey using Research Electronic Data Capture (REDCap) software, yielding a 75% response rate. Valid quantitative measures of supervision effectiveness were assessed, along with qualitative perceptions of a supervision-based clinical dashboard. Results Through within-dyad analyses, misalignment between supervisor and counselor perceptions of supervision practices was negatively associated with satisfaction of supervision and reported frequency of discussing several important clinical supervision topics, including evidence-based treatments and client rapport. Participants indicated the most useful clinical dashboard functions and reported important benefits and challenges to using the proposed tool. Discussion Clinical supervision tends to be largely an informal and unstructured process in substance abuse treatment, which may compromise the quality of care. Clinical dashboards may be a well-targeted approach to facilitate data-informed clinical supervision in community-based treatment agencies. PMID:28166480
The need for data-informed clinical supervision in substance use disorder treatment.
Ramsey, Alex T; Baumann, Ana; Patterson Silver Wolf, David; Yan, Yan; Cooper, Ben; Proctor, Enola
2017-01-01
Effective clinical supervision is necessary for high-quality care in community-based substance use disorder treatment settings, yet little is known about current supervision practices. Some evidence suggests that supervisors and counselors differ in their experiences of clinical supervision; however, the impact of this misalignment on supervision quality is unclear. Clinical information monitoring systems may support supervision in substance use disorder treatment, but the potential use of these tools must first be explored. First, the current study examines the extent to which misaligned supervisor-counselor perceptions impact supervision satisfaction and emphasis on evidence-based treatments. This study also reports on formative work to develop a supervision-based clinical dashboard, an electronic information monitoring system and data visualization tool providing real-time clinical information to engage supervisors and counselors in a coordinated and data-informed manner, help align supervisor-counselor perceptions about supervision, and improve supervision effectiveness. Clinical supervisors and frontline counselors (N = 165) from five Midwestern agencies providing substance abuse services completed an online survey using Research Electronic Data Capture software, yielding a 75% response rate. Valid quantitative measures of supervision effectiveness were administered, along with qualitative perceptions of a supervision-based clinical dashboard. Through within-dyad analyses, misalignment between supervisor and counselor perceptions of supervision practices was negatively associated with satisfaction of supervision and reported frequency of discussing several important clinical supervision topics, including evidence-based treatments and client rapport. Participants indicated the most useful clinical dashboard functions and reported important benefits and challenges to using the proposed tool. Clinical supervision tends to be largely an informal and unstructured process in substance abuse treatment, which may compromise the quality of care. Clinical dashboards may be a well-targeted approach to facilitate data-informed clinical supervision in community-based treatment agencies.
Lin, Albert Y.; Chua, Mei-Sze; Choi, Yoon-La; Yeh, William; Kim, Young H.; Azzi, Raymond; Adams, Gregg A.; Sainani, Kristin; van de Rijn, Matt; So, Samuel K.; Pollack, Jonathan R.
2011-01-01
Purpose We sought to identify genes of clinical significance to predict survival and the risk for colorectal liver metastasis (CLM), the most common site of metastasis from colorectal cancer (CRC). Patients and Methods We profiled gene expression in 31 specimens from primary CRC and 32 unmatched specimens of CLM, and performed Significance Analysis of Microarrays (SAM) to identify genes differentially expressed between these two groups. To characterize the clinical relevance of two highly-ranked differentially-expressed genes, we analyzed the expression of secreted phosphoprotein 1 (SPP1 or osteopontin) and lymphoid enhancer factor-1 (LEF1) by immunohistochemistry using a tissue microarray (TMA) representing an independent set of 154 patients with primary CRC. Results Supervised analysis using SAM identified 963 genes with significantly higher expression in CLM compared to primary CRC, with a false discovery rate of <0.5%. TMA analysis showed SPP1 and LEF1 protein overexpression in 60% and 44% of CRC cases, respectively. Subsequent occurrence of CLM was significantly correlated with the overexpression of LEF1 (chi-square p = 0.042), but not SPP1 (p = 0.14). Kaplan Meier analysis revealed significantly worse survival in patients with overexpression of LEF1 (p<0.01), but not SPP1 (p = 0.11). Both univariate and multivariate analyses identified stage (p<0.0001) and LEF1 overexpression (p<0.05) as important prognostic markers, but not tumor grade or SPP1. Conclusion Among genes differentially expressed between CLM and primary CRC, we demonstrate overexpression of LEF1 in primary CRC to be a prognostic factor for poor survival and increased risk for liver metastasis. PMID:21383983
Supervised Semantic Classification for Nuclear Proliferation Monitoring
DOE Office of Scientific and Technical Information (OSTI.GOV)
Vatsavai, Raju; Cheriyadat, Anil M; Gleason, Shaun Scott
2010-01-01
Existing feature extraction and classification approaches are not suitable for monitoring proliferation activity using high-resolution multi-temporal remote sensing imagery. In this paper we present a supervised semantic labeling framework based on the Latent Dirichlet Allocation method. This framework is used to analyze over 120 images collected under different spatial and temporal settings over the globe representing three major semantic categories: airports, nuclear, and coal power plants. Initial experimental results show a reasonable discrimination of these three categories even though coal and nuclear images share highly common and overlapping objects. This research also identified several research challenges associated with nuclear proliferationmore » monitoring using high resolution remote sensing images.« less
NASA Astrophysics Data System (ADS)
masini, nicola; Lasaponara, Rosa
2013-04-01
The papers deals with the use of VHR satellite multitemporal data set to extract cultural landscape changes in the roman site of Grumentum Grumentum is an ancient town, 50 km south of Potenza, located near the roman road of Via Herculea which connected the Venusia, in the north est of Basilicata, with Heraclea in the Ionian coast. The first settlement date back to the 6th century BC. It was resettled by the Romans in the 3rd century BC. Its urban fabric which evidences a long history from the Republican age to late Antiquity (III BC-V AD) is composed of the typical urban pattern of cardi and decumani. Its excavated ruins include a large amphitheatre, a theatre, the thermae, the Forum and some temples. There are many techniques nowadays available to capture and record differences in two or more images. In this paper we focus and apply the two main approaches which can be distinguished into : (i) unsupervised and (ii) supervised change detection methods. Unsupervised change detection methods are generally based on the transformation of the two multispectral images in to a single band or multiband image which are further analyzed to identify changes Unsupervised change detection techniques are generally based on three basic steps (i) the preprocessing step, (ii) a pixel-by-pixel comparison is performed, (iii). Identification of changes according to the magnitude an direction (positive /negative). Unsupervised change detection are generally based on the transformation of the two multispectral images into a single band or multiband image which are further analyzed to identify changes. Than the separation between changed and unchanged classes is obtained from the magnitude of the resulting spectral change vectors by means of empirical or theoretical well founded approaches Supervised change detection methods are generally based on supervised classification methods, which require the availability of a suitable training set for the learning process of the classifiers. Unsupervised change detection techniques are generally based on three basic steps (i) the preprocessing step, (ii) supervised classification is performed on the single dates or on the map obtained as the difference of two dates, (iii). Identification of changes according to the magnitude an direction (positive /negative). Supervised change detection are generally based on supervised classification methods, which require the availability of a suitable training set for the learning process of the classifiers, therefore these algorithms require a preliminary knowledge necessary: (i) to generate representative parameters for each class of interest; and (ii) to carry out the training stage Advantages and disadvantages of the supervised and unsupervised approaches are discuss. Finally results from the the satellite multitemporal dataset was also integrated with aerial photos from historical archive in order to expand the time window of the investigation and capture landscape changes occurred from the Agrarian Reform, in the 50s, up today.
Gonge, Henrik; Buus, Niels
2015-04-01
To test the effects of a meta-supervision intervention in terms of participation, effectiveness and benefits of clinical supervision of psychiatric nursing staff. Clinical supervision is regarded as a central component in developing mental health nursing practices, but the evidence supporting positive outcomes of clinical supervision in psychiatric nursing is not convincing. The study was designed as a randomized controlled trial. All permanently employed nursing staff members at three general psychiatric wards at a Danish university hospital (n = 83) were allocated to either an intervention group (n = 40) receiving the meta-supervision in addition to attending usual supervision or to a control group (n = 43) attending usual supervision. Self-reported questionnaire measures of clinical supervision effectiveness and benefits were collected at base line in January 2012 and at follow-up completed in February 2013. In addition, a prospective registration of clinical supervision participation was carried out over 3 months subsequent to the intervention. The main result was that it was possible to motivate staff in the intervention group to participate significantly more frequently in sessions of the ongoing supervision compared with the control group. However, more frequent participation was not reflected in the experienced effectiveness of the clinical supervision or in the general formative or restorative benefits. The intervention had a positive effect on individuals or wards already actively engaged in clinical supervision, which suggested that individuals and wards without well-established supervision practices may require more comprehensive interventions targeting individual and organizational barriers to clinical supervision. © 2014 John Wiley & Sons Ltd.
PERCEPTIONS OF THE ELEMENTARY SCHOOL COUNSELOR.
ERIC Educational Resources Information Center
BRADEN, BILLY; AND OTHERS
FACTORS ASSOCIATED WITH THE ROLE AND FUNCTION OF THE ELEMENTARY SCHOOL COUNSELOR AS THEY WERE PERCEIVED BY SELECTED ELEMENTARY SCHOOL COUNSELORS, ELEMENTARY SCHOOL PRINCIPALS, COUNSELOR EDUCATORS, AND STATE SUPERVISORS IN THE SOUTHERN ASSOCIATION FOR COUNSELOR EDUCATION AND SUPERVISION (SACES) REGION WERE IDENTIFIED. THREE INSTRUMENTS WERE…
Determination of Tasks Required by Graduates of Manufacturing Engineering Technology Programs.
ERIC Educational Resources Information Center
Zirbel, Jay H.
1993-01-01
A Delphi panel of 14 experts identified 37 tasks performed by/qualities needed by manufacturing engineering technologists. Most important were work ethic, performance quality, communication skills, teamwork, computer applications, manufacturing basics, materials knowledge, troubleshooting, supervision, and global issues. (SK)
Supervisory Styles: A Contingency Framework
ERIC Educational Resources Information Center
Boehe, Dirk Michael
2016-01-01
While the contingent nature of doctoral supervision has been acknowledged, the literature on supervisory styles has yet to deliver a theory-based contingency framework. A contingency framework can assist supervisors and research students in identifying appropriate supervisory styles under varying circumstances. The conceptual study reported here…
Kury, Fabrício S P; Cimino, James J
2015-01-01
The corrections ("stipulations") to a proposed research study protocol produced by an institutional review board (IRB) can often be repetitive across many studies; however, there is no standard set of stipulations that could be used, for example, by researchers wishing to anticipate and correct problems in their research proposals prior to submitting to an IRB. The objective of the research was to computationally identify the most repetitive types of stipulations generated in the course of IRB deliberations. The text of each stipulation was normalized using the natural language processing techniques. An undirected weighted network was constructed in which each stipulation was represented by a node, and each link, if present, had weight corresponding to the TF-IDF Cosine Similarity of the stipulations. Network analysis software was then used to identify clusters in the network representing similar stipulations. The final results were correlated with additional data to produce further insights about the IRB workflow. From a corpus of 18,582 stipulations we identified 31 types of repetitive stipulations. Those types accounted for 3,870 stipulations (20.8% of the corpus) produced for 697 (88.7%) of all protocols in 392 (also 88.7%) of all the CNS IRB meetings with stipulations entered in our data source. A notable peroportion of the corrections produced by the IRB can be considered highly repetitive. Our shareable method relied on a minimal manual analysis and provides an intuitive exploration with theoretically unbounded granularity. Finer granularity allowed for the insight that is anticipated to prevent the need for identifying the IRB panel expertise or any human supervision.
Exercise training for intermittent claudication.
McDermott, Mary M
2017-11-01
The objective of this study was to provide an overview of evidence regarding exercise therapies for patients with lower extremity peripheral artery disease (PAD). This manuscript summarizes the content of a lecture delivered as part of the 2016 Crawford Critical Issues Symposium. Multiple randomized clinical trials demonstrate that supervised treadmill exercise significantly improves treadmill walking performance in people with PAD and intermittent claudication symptoms. A meta-analysis of 25 randomized trials demonstrated a 180-meter increase in treadmill walking distance in response to supervised exercise interventions compared with a nonexercising control group. Supervised treadmill exercise has been inaccessible to many patients with PAD because of lack of medical insurance coverage. However, in 2017, the Centers for Medicare and Medicaid Services issued a decision memorandum to support health insurance coverage of 12 weeks of supervised treadmill exercise for patients with walking impairment due to PAD. Recent evidence also supports home-based walking exercise to improve walking performance in people with PAD. Effective home-exercise programs incorporate behavioral change interventions such as a remote coach, goal setting, and self-monitoring. Supervised treadmill exercise programs preferentially improve treadmill walking performance, whereas home-based walking exercise programs preferentially improve corridor walking, such as the 6-minute walk test. Clinical trial evidence also supports arm or leg ergometry exercise to improve walking endurance in people with PAD. Treadmill walking exercise appears superior to resistance training alone for improving walking endurance. Supervised treadmill exercise significantly improves treadmill walking performance in people with PAD by approximately 180 meters compared with no exercise. Recent evidence suggests that home-based exercise is also effective and preferentially improves over-ground walking performance, such as the 6-minute walk test. Copyright © 2017 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.
Supervised exercise reduces cancer-related fatigue: a systematic review.
Meneses-Echávez, José F; González-Jiménez, Emilio; Ramírez-Vélez, Robinson
2015-01-01
Does supervised physical activity reduce cancer-related fatigue? Systematic review with meta-analysis of randomised trials. People diagnosed with any type of cancer, without restriction to a particular stage of diagnosis or treatment. Supervised physical activity interventions (eg, aerobic, resistance and stretching exercise), defined as any planned or structured body movement causing an increase in energy expenditure, designed to maintain or enhance health-related outcomes, and performed with systematic frequency, intensity and duration. The primary outcome measure was fatigue. Secondary outcomes were physical and functional wellbeing assessed using the Functional Assessment of Cancer Therapy Fatigue Scale, European Organisation for Research and Treatment of Cancer Quality of Life QUESTIONnaire, Piper Fatigue Scale, Schwartz Cancer Fatigue Scale and the Multidimensional Fatigue Inventory. Methodological quality, including risk of bias of the studies, was evaluated using the PEDro Scale. Eleven studies involving 1530 participants were included in the review. The assessment of quality showed a mean score of 6.5 (SD 1.1), indicating a low overall risk of bias. The pooled effect on fatigue, calculated as a standardised mean difference (SMD) using a random-effects model, was -1.69 (95% CI -2.99 to -0.39). Beneficial reductions in fatigue were also found with combined aerobic and resistance training with supervision (SMD=-0.41, 95% CI -0.70 to -0.13) and with combined aerobic, resistance and stretching training with supervision (SMD=-0.67, 95% CI -1.17 to -0.17). Supervised physical activity interventions reduce cancer-related fatigue. These findings suggest that combined aerobic and resistance exercise regimens with or without stretching should be included as part of rehabilitation programs for people who have been diagnosed with cancer. PROSPERO CRD42013005803. Copyright © 2014 Australian Physiotherapy Association. Published by Elsevier B.V. All rights reserved.
A global picture of pharmacy technician and other pharmacy support workforce cadres.
Koehler, Tamara; Brown, Andrew
Understanding how pharmacy technicians and other pharmacy support workforce cadres assist pharmacists in the healthcare system will facilitate developing health systems with the ability to achieve universal health coverage as it is defined in different country contexts. The aim of this paper is to provide an overview of the present global variety in the technician and other pharmacy support workforce cadres considering; their scope, roles, supervision, education and legal framework. A structured online survey instrument was administered globally using the Survey Monkey platform, designed to address the following topic areas: roles, responsibilities, supervision, education and legislation. The survey was circulated to International Pharmaceutical Federation (FIP) member organisations and a variety of global list serves where pharmaceutical services are discussed. 193 entries from 67 countries and territories were included in the final analysis revealing a vast global variety with respect to the pharmacy support workforce. From no pharmacy technicians or other pharmacy support workforce cadres in Japan, through a variety of cadre interactions with pharmacists, to the autonomous practice of pharmacy support workforce cadres in Malawi. From strictly supervised practice with a focus on supply, through autonomous practice for a variety of responsibilities, to independent practice. From complete supervision for all tasks, through geographical varied supervision, to independent practice. From on the job training, through certificate level vocational courses, to 3-4 year diploma programs. From well-regulated and registered, through part regulation with weak implementation, to completely non-regulated contexts. This paper documents wide differences in supervision requirements, education systems and supportive legislation for pharmacy support workforce cadres globally. A more detailed understanding of specific country practice settings is required if the use of pharmacy support workforce cadres is to be optimized. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.
Towards Stability Analysis of Jump Linear Systems with State-Dependent and Stochastic Switching
NASA Technical Reports Server (NTRS)
Tejada, Arturo; Gonzalez, Oscar R.; Gray, W. Steven
2004-01-01
This paper analyzes the stability of hierarchical jump linear systems where the supervisor is driven by a Markovian stochastic process and by the values of the supervised jump linear system s states. The stability framework for this class of systems is developed over infinite and finite time horizons. The framework is then used to derive sufficient stability conditions for a specific class of hybrid jump linear systems with performance supervision. New sufficient stochastic stability conditions for discrete-time jump linear systems are also presented.
Shared Decision-Making and the Limits of Democratization: A Case Study of Site-Based Reform.
ERIC Educational Resources Information Center
Radnofsky, Mary L.; Spielmann, Guy
This paper presents findings of an ethnographic study of a school district's Staff Development, Supervision, and Evaluation Program (SDSEP). Data were gathered through interviews, observations, participant observation, analysis of kinesics and proxemics, semiotic analysis of discourse, unobtrusive measures, and analysis of official documents. The…
Chen, Jinying; Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong
2017-10-31
Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation-that is, creating lay definitions for these terms. Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS's performance substantially. ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS's performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. ©Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.10.2017.
Adequate supervision for children and adolescents.
Anderst, James; Moffatt, Mary
2014-11-01
Primary care providers (PCPs) have the opportunity to improve child health and well-being by addressing supervision issues before an injury or exposure has occurred and/or after an injury or exposure has occurred. Appropriate anticipatory guidance on supervision at well-child visits can improve supervision of children, and may prevent future harm. Adequate supervision varies based on the child's development and maturity, and the risks in the child's environment. Consideration should be given to issues as wide ranging as swimming pools, falls, dating violence, and social media. By considering the likelihood of harm and the severity of the potential harm, caregivers may provide adequate supervision by minimizing risks to the child while still allowing the child to take "small" risks as needed for healthy development. Caregivers should initially focus on direct (visual, auditory, and proximity) supervision of the young child. Gradually, supervision needs to be adjusted as the child develops, emphasizing a safe environment and safe social interactions, with graduated independence. PCPs may foster adequate supervision by providing concrete guidance to caregivers. In addition to preventing injury, supervision includes fostering a safe, stable, and nurturing relationship with every child. PCPs should be familiar with age/developmentally based supervision risks, adequate supervision based on those risks, characteristics of neglectful supervision based on age/development, and ways to encourage appropriate supervision throughout childhood. Copyright 2014, SLACK Incorporated.
ERIC Educational Resources Information Center
Perera-Diltz, Dilani M.; Mason, Kimberly L.
2012-01-01
Supervision is vital for personal and professional development of counselors. Practicing school counselors (n = 1557) across the nation were surveyed to explore current supervision practices. Results indicated that 41.1% of school counselors provide supervision. Although 89% receive some type of supervision, only 10.3% of school counselors receive…
Supervision, monitoring and evaluation of nationwide scale-up of antiretroviral therapy in Malawi.
Libamba, Edwin; Makombe, Simon; Mhango, Eustice; de Ascurra Teck, Olga; Limbambala, Eddie; Schouten, Erik J.; Harries, Anthony D.
2006-01-01
OBJECTIVE: To describe the supervision, monitoring and evaluation strategies used to assess the delivery of antiretroviral therapy during nationwide scale-up of treatment in Malawi. METHODS: In the first quarter of 2005, the HIV Unit of the Ministry of Health and its partners (the Lighthouse Clinic; Médecins Sans Frontières-Belgium, Thyolo district; and WHO's Country Office) undertook structured supervision and monitoring of all public sector health facilities in Malawi delivering antiretroviral therapy. FINDINGS: Data monitoring showed that by the end of 2004, there were 13,183 patients (5274 (40%) male, 12 527 (95%) adults) who had ever started antiretroviral therapy. Of patients who had ever started, 82% (10 761/13,183) were alive and taking antiretrovirals; 8% (1026/13,183) were dead; 8% (1039/13,183) had been lost to follow up; <1% (106/13,183) had stopped treatment; and 2% (251/13,183) had transferred to another facility. Of those alive and on antiretrovirals, 98% (7098/7258) were ambulatory; 85% (6174/7258) were fit to work; 10% (456/4687) had significant side effects; and, based on pill counts, 96% (6824/7114) had taken their treatment correctly. Mistakes in the registration and monitoring of patients were identified and corrected. Drug stocks were checked, and one potential drug stock-out was averted. As a result of the supervisory visits, by the end of March 2005 recruitment of patients to facilities scheduled to start delivering antiretroviral therapy had increased. CONCLUSION: This report demonstrates the importance of early supervision for sites that are starting to deliver antiretroviral therapy, and it shows the value of combining data collection with supervision. Making regular supervisory and monitoring visits to delivery sites are essential for tracking the national scale-up of delivery of antiretrovirals. PMID:16628306
Imbery, Terence A; Diaz, Nicholas; Greenfield, Kristy; Janus, Charles; Best, Al M
2016-10-01
Preclinical fixed prosthodontics is taught by Department of Prosthodontics faculty members at Virginia Commonwealth University School of Dentistry; however, 86% of all clinical cases in academic year 2012 were staffed by faculty members from the Department of General Practice. The aims of this retrospective study were to quantify the quality of impressions, accuracy of laboratory work authorizations, and most common errors and to determine if there were differences between the rate of errors in cases supervised by the prosthodontists and the general dentists. A total of 346 Fixed Prosthodontic Laboratory Tracking Sheets for the 2012 academic year were reviewed. The results showed that, overall, 73% of submitted impressions were acceptable at initial evaluation, 16% had to be poured first and re-evaluated for quality prior to pindexing, 7% had multiple impressions submitted for transfer dies, and 4% were rejected for poor quality. There were higher acceptance rates for impressions and work authorizations for cases staffed by prosthodontists than by general dentists, but the differences were not statistically significant (p=0.0584 and p=0.0666, respectively). Regarding the work authorizations, 43% overall did not provide sufficient information or had technical errors that delayed prosthesis fabrication. The most common errors were incorrect mountings, absence of solid casts, inadequate description of margins for porcelain fused to metal crowns, inaccurate die trimming, and margin marking. The percentages of errors in cases supervised by general dentists and prosthodontists were similar for 17 of the 18 types of errors identified; only for margin description was the percentage of errors statistically significantly higher for general dentist-supervised than prosthodontist-supervised cases. These results highlighted the ongoing need for faculty development and calibration to ensure students receive the highest quality education from all faculty members teaching fixed prosthodontics.
Supervision of Facilitators in a Multisite Study: Goals, Process, and Outcomes
2010-01-01
Objective To describe the aims, implementation, and desired outcomes of facilitator supervision for both interventions (treatment and control) in Project Eban and to present the Eban Theoretical Framework for Supervision that guided the facilitators’ supervision. The qualifications and training of supervisors and facilitators are also described. Design This article provides a detailed description of supervision in a multisite behavioral intervention trial. The Eban Theoretical Framework for Supervision is guided by 3 theories: cognitive behavior therapy, the Life-long Model of Supervision, and “Empowering supervisees to empower others: a culturally responsive supervision model.” Methods Supervision is based on the Eban Theoretical Framework for Supervision, which provides guidelines for implementing both interventions using goals, process, and outcomes. Results Because of effective supervision, the interventions were implemented with fidelity to the protocol and were standard across the multiple sites. Conclusions Supervision of facilitators is a crucial aspect of multisite intervention research quality assurance. It provides them with expert advice, optimizes the effectiveness of facilitators, and increases adherence to the protocol across multiple sites. Based on the experience in this trial, some of the challenges that arise when conducting a multisite randomized control trial and how they can be handled by implementing the Eban Theoretical Framework for Supervision are described. PMID:18724192
A Qualitative Study on Organizational Factors Affecting Occupational Accidents
ESKANDARI, Davood; JAFARI, Mohammad Javad; MEHRABI, Yadollah; KIAN, Mostafa Pouya; CHARKHAND, Hossein; MIRGHOTBI, Mostafa
2017-01-01
Background: Technical, human, operational and organizational factors have been influencing the sequence of occupational accidents. Among them, organizational factors play a major role in causing occupational accidents. The aim of this research was to understand the Iranian safety experts’ experiences and perception of organizational factors. Methods: This qualitative study was conducted in 2015 by using the content analysis technique. Data were collected through semi-structured interviews with 17 safety experts working in Iranian universities and industries and analyzed with a conventional qualitative content analysis method using the MAXQDA software. Results: Eleven organizational factors’ sub-themes were identified: management commitment, management participation, employee involvement, communication, blame culture, education and training, job satisfaction, interpersonal relationship, supervision, continuous improvement, and reward system. The participants considered these factors as effective on occupational accidents. Conclusion: The mentioned 11 organizational factors are probably involved in occupational accidents in Iran. Naturally, improving organizational factors can increase the safety performance and reduce occupational accidents. PMID:28435824
Vehicle management and mission planning systems with shuttle applications
NASA Technical Reports Server (NTRS)
1972-01-01
A preliminary definition of a concept for an automated system is presented that will support the effective management and planning of space shuttle operations. It is called the Vehicle Management and Mission Planning System (VMMPS). In addition to defining the system and its functions, some of the software requirements of the system are identified and a phased and evolutionary method is recommended for software design, development, and implementation. The concept is composed of eight software subsystems supervised by an executive system. These subsystems are mission design and analysis, flight scheduler, launch operations, vehicle operations, payload support operations, crew support, information management, and flight operations support. In addition to presenting the proposed system, a discussion of the evolutionary software development philosophy that the Mission Planning and Analysis Division (MPAD) would propose to use in developing the required supporting software is included. A preliminary software development schedule is also included.
Magagna, Federico; Guglielmetti, Alessandro; Liberto, Erica; Reichenbach, Stephen E; Allegrucci, Elena; Gobino, Guido; Bicchi, Carlo; Cordero, Chiara
2017-08-02
This study investigates chemical information of volatile fractions of high-quality cocoa (Theobroma cacao L. Malvaceae) from different origins (Mexico, Ecuador, Venezuela, Columbia, Java, Trinidad, and Sao Tomè) produced for fine chocolate. This study explores the evolution of the entire pattern of volatiles in relation to cocoa processing (raw, roasted, steamed, and ground beans). Advanced chemical fingerprinting (e.g., combined untargeted and targeted fingerprinting) with comprehensive two-dimensional gas chromatography coupled with mass spectrometry allows advanced pattern recognition for classification, discrimination, and sensory-quality characterization. The entire data set is analyzed for 595 reliable two-dimensional peak regions, including 130 known analytes and 13 potent odorants. Multivariate analysis with unsupervised exploration (principal component analysis) and simple supervised discrimination methods (Fisher ratios and linear regression trees) reveal informative patterns of similarities and differences and identify characteristic compounds related to sample origin and manufacturing step.
A Qualitative Study on Organizational Factors Affecting Occupational Accidents.
Eskandari, Davood; Jafari, Mohammad Javad; Mehrabi, Yadollah; Kian, Mostafa Pouya; Charkhand, Hossein; Mirghotbi, Mostafa
2017-03-01
Technical, human, operational and organizational factors have been influencing the sequence of occupational accidents. Among them, organizational factors play a major role in causing occupational accidents. The aim of this research was to understand the Iranian safety experts' experiences and perception of organizational factors. This qualitative study was conducted in 2015 by using the content analysis technique. Data were collected through semi-structured interviews with 17 safety experts working in Iranian universities and industries and analyzed with a conventional qualitative content analysis method using the MAXQDA software. Eleven organizational factors' sub-themes were identified: management commitment, management participation, employee involvement, communication, blame culture, education and training, job satisfaction, interpersonal relationship, supervision, continuous improvement, and reward system. The participants considered these factors as effective on occupational accidents. The mentioned 11 organizational factors are probably involved in occupational accidents in Iran. Naturally, improving organizational factors can increase the safety performance and reduce occupational accidents.
Guidelines for clinical supervision in health service psychology.
2015-01-01
This document outlines guidelines for supervision of students in health service psychology education and training programs. The goal was to capture optimal performance expectations for psychologists who supervise. It is based on the premises that supervisors (a) strive to achieve competence in the provision of supervision and (b) employ a competency-based, meta-theoretical approach to the supervision process. The Guidelines on Supervision were developed as a resource to inform education and training regarding the implementation of competency-based supervision. The Guidelines on Supervision build on the robust literatures on competency-based education and clinical supervision. They are organized around seven domains: supervisor competence; diversity; relationships; professionalism; assessment/evaluation/feedback; problems of professional competence, and ethical, legal, and regulatory considerations. The Guidelines on Supervision represent the collective effort of a task force convened by the American Psychological Association (APA) Board of Educational Affairs (BEA). PsycINFO Database Record (c) 2015 APA, all rights reserved.