How Barunga Aboriginal Community Implemented and Sustained an Anaemia Program‐ A Case Study Evaluation

2021 ◽  
Author(s):  
Jodi Phillips ◽  
Raelene Brunette ◽  
Marita Hefler ◽  
Julie Brimblecombe ◽  
Therese Kearns
Keyword(s):  
Aboriginal Community ◽  
Study Evaluation

Case Study: Evaluation of an Older Woman With Dementia at a University Speech and Hearing Clinic

2001 ◽  
Vol 6 (1) ◽  
pp. 2-3
Author(s):  
Andrea Tobochnik ◽  
Kathy Esnlen ◽  
Jennifer Nobles Cora ◽  
Rene Watkins
Keyword(s):  
Older Woman ◽  
Study Evaluation

CASE STUDY: Evaluation of Different Cooling Systems in Lactating Heat-Stressed Dairy Cows in a Semi-Arid Environment

2007 ◽  
Vol 23 (5) ◽  
pp. 546-555 ◽  
Author(s):  
R. Burgos ◽  
L.J. Odens ◽  
R.J. Collier ◽  
L.H. Baumgard ◽  
M.J. VanBaale
Keyword(s):  
Dairy Cows ◽  
Arid Environment ◽  
Cooling Systems ◽  
Study Evaluation ◽  
Semi Arid

scholarly journals Appraising psychotherapy case studies in practice-based evidence: introducing Case Study Evaluation-tool (CaSE)

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Greta Kaluzeviciute
Keyword(s):  
Case Studies ◽  
Evaluation Criteria ◽  
Internal Validity ◽  
Knowledge Generation ◽  
Evaluation Tool ◽  
Third Way ◽  
Study Evaluation ◽  
Essential Components ◽  
Randomised Controlled

AbstractSystematic case studies are often placed at the low end of evidence-based practice (EBP) due to lack of critical appraisal. This paper seeks to attend to this research gap by introducing a novel Case Study Evaluation-tool (CaSE). First, issues around knowledge generation and validity are assessed in both EBP and practice-based evidence (PBE) paradigms. Although systematic case studies are more aligned with PBE paradigm, the paper argues for a complimentary, third way approach between the two paradigms and their ‘exemplary’ methodologies: case studies and randomised controlled trials (RCTs). Second, the paper argues that all forms of research can produce ‘valid evidence’ but the validity itself needs to be assessed against each specific research method and purpose. Existing appraisal tools for qualitative research (JBI, CASP, ETQS) are shown to have limited relevance for the appraisal of systematic case studies through a comparative tool assessment. Third, the paper develops purpose-oriented evaluation criteria for systematic case studies through CaSE Checklist for Essential Components in Systematic Case Studies and CaSE Purpose-based Evaluative Framework for Systematic Case Studies. The checklist approach aids reviewers in assessing the presence or absence of essential case study components (internal validity). The framework approach aims to assess the effectiveness of each case against its set out research objectives and aims (external validity), based on different systematic case study purposes in psychotherapy. Finally, the paper demonstrates the application of the tool with a case example and notes further research trajectories for the development of CaSE tool.

Building Bayesian networks for legal evidence with narratives: a case study evaluation

2014 ◽  
Vol 22 (4) ◽  
pp. 375-421 ◽  
Author(s):  
Charlotte S. Vlek ◽  
Henry Prakken ◽  
Silja Renooij ◽  
Bart Verheij
Keyword(s):  
Bayesian Networks ◽  
Legal Evidence ◽  
Study Evaluation

scholarly journals Factors supporting retention of health and wellbeing staff in Aboriginal health services: a strength-based case study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sara Deroy ◽  
Heike Schütze
Keyword(s):  
Health Service ◽  
Health Services ◽  
Aboriginal Health ◽  
Social Accountability ◽  
Cultural Safety ◽  
Staff Retention ◽  
Professional Advancement ◽  
Aboriginal Community ◽  
Health And Wellbeing

Abstract Background Aboriginal Community Controlled Health Services are fundamental to improving the health and welfare of Aboriginal peoples. A key element that contributes to the effectiveness of these services are Aboriginal health and wellbeing staff. However, Aboriginal health and wellbeing staff often suffer high rates of stress and burnout. Current literature focuses on proposed strategies to increase staff retention in Aboriginal Health Services, yet, there is limited information available showcasing what has actually worked. Method This was an intrinsic strengths-based case study of one regional Aboriginal Community Controlled Health Service. Semi-structured research yarning interviews were conducted with past and present staff employed in health and wellbeing roles to highlight the factors that staff felt contributed to their retention. Results Ten interviews were conducted between February and April 2018. Six key themes emerged: social accountability, teamwork and collaboration, cultural safety, supervision, professional advancement, and recognition. We add to the literature by identifying the importance of bi-directional communication, and showing that social accountability, teamwork and collaboration, cultural safety, supervision, professional advancement, and recognition continue to be important factors that contribute to health and wellbeing staff retention in Aboriginal Health Services. Conclusion This exemplar Aboriginal Health Service may provide insights into future strategies to improve staff retention in other health services.

scholarly journals Reducing bias in risk indices for COVID-19

2022 ◽  
Vol 17 (s1) ◽  
Author(s):  
Michał Paweł Michalak ◽  
Jack Cordes ◽  
Agnieszka Kulawik ◽  
Sławomir Sitek ◽  
Sławomir Pytel ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Spatial Heterogeneity ◽  
Disease Burden ◽  
Risk Indices ◽  
Study Evaluation ◽  
Dynamical Properties ◽  
Time Periods ◽  
Regional Disease ◽  
Over Time

Spatiotemporal modelling of infectious diseases such as coronavirus disease 2019 (COVID-19) involves using a variety of epidemiological metrics such as regional proportion of cases and/or regional positivity rates. Although observing changes of these indices over time is critical to estimate the regional disease burden, the dynamical properties of these measures, as well as crossrelationships, are usually not systematically given or explained. Here we provide a spatiotemporal framework composed of six commonly used and newly constructed epidemiological metrics and conduct a case study evaluation. We introduce a refined risk estimate that is biased neither by variation in population size nor by the spatial heterogeneity of testing. In particular, the proposed methodology would be useful for unbiased identification of time periods with elevated COVID-19 risk without sensitivity to spatial heterogeneity of neither population nor testing coverage.We offer a case study in Poland that shows improvement over the bias of currently used methods. Our results also provide insights regarding regional prioritisation of testing and the consequences of potential synchronisation of epidemics between regions. The approach should apply to other infectious diseases and other geographical areas.

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