Journal of evaluation in clinical practice
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RATIONALE, AIMS AND OBJECTIVES: An important aspect of scholarly discussions about evidence-based practice (EBP) is how EBP is measured. Given the conceptual and empirical developments in the study of EBP over the last 3 decades, there is a need to better understand how to best measure EBP in educational and clinical contexts. The aim of this study was to identify and describe the main challenges, recommendations for practice, and areas of future research in the measurement of EBP across the health professions as reported by systematic reviews (SRs). ⋯ This study suggests that existing measures may be insufficient in capturing the multidimensional, contextual and dynamic nature of EBP. There is a need for a clear operationalization of EBP and an improved understanding and application of validity theory.
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Moving towards high quality primary health care, involving family physicians in primary care research becomes an essential prerequisite to ensures a better adoption and routinization of patient-centred, evidence-based practices. ⋯ The protocol of this review was registered with the SPOR Evidence Alliance and on the PROSPERO platform (registration number: CRD42020189322).
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Randomized Controlled Trial
Factors related to recruitment and retention of patients into diabetes group visits in Federally Qualified Health Centers.
RATIONALE, AIMS AND OBJECTIVES: To examine factors related to recruitment of eligible patients and retention of enrolled patients in diabetes group visits (GVs). ⋯ In-person recruitment for GVs at CHCs was more effective than recruitment by telephone/mail. Patients who felt less empowered to manage their diabetes were most motivated to attend GVs. These findings could help clinicians implement targeted recruitment of patient populations who are more likely to attend diabetes GVs and tailor self-management education interventions to their patient populations, particularly for underserved patients who face disparate clinical outcomes.
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Observational Study
Evaluation of a fast-and-frugal clinical decision algorithm ('pathways') on clinical outcomes in hospitalised patients with COVID-19 treated with anticoagulants.
Critics have charged that evidence-based medicine (EBM) overemphasises algorithmic rules over unstructured clinical experience and intuition, but the role of structured decision support systems in improving health outcomes remains uncertain. We aim to assess if delivery of anticoagulant prophylaxis in hospitalised patients with COVID-19 according to an algorithm based on evidence-based clinical practice guideline (CPG) improved clinical outcomes compared with administration of anticoagulant treatment given at individual practitioners' discretion. ⋯ When delivered using a structured FFT algorithm, CPG shortened the hospital stay and help avoided admission to ICU, but it did not affect other relevant outcomes.
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Posttraumatic stress disorder (PTSD) is highly prevalent among veterans. Many veterans with PTSD respond well to serotonin reuptake inhibitors (SRIs). Nonresponders may be prescribed augmenting medications, which are not as well-studied in PTSD. ⋯ Importantly, these effects could be explained by regression to the mean, additional interventions or confounding. These findings should be further explored with placebo controlled randomized clinical trials.