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Recognizing and Managing Geriatric Depression: A Two-Part Self-Learning Module Set. | LitMetric

AI Article Synopsis

Article Abstract

Introduction: The number of geriatric patients will increase dramatically over the next 2 decades, and providers across all specialties will need skills in diagnosis and management of common geriatric disorders. Geriatric depression is common and associated with significant psychiatric and medical morbidity yet is frequently not taught in clinical clerkships. To provide foundational knowledge on geriatric depression, we designed a two-part, online, self-learning module set for health professions learners.

Methods: Learning objectives and content were chosen based upon consensus from a national panel of internal medicine and psychiatry clinician-educators. The two-part module set covers recognition of depression and use of screening tools for diagnosis, suicide assessment, patient education, and initial management approaches. Articulate software was used to create two complementary 20-minute modules that incorporate teaching points, interactive quizzes, and video clips of a clinician interviewing a standardized patient and her husband during the course of an initial clinical evaluation.

Results: The modules were piloted with 11 senior medical students. Mean number of correct answers on 10 knowledge-test questions improved from 8.1 on pretesting to 9.4 on posttesting. On a 5-point Likert scale (1 = 5 = ), participants affirmed that the modules were easy to navigate (4.91) and increased understanding of geriatric depression (4.82) and that the videos added to the learner's understanding of objectives (4.64).

Discussion: These modules can be used by learners in health professions schools to improve foundational knowledge in geriatric depression and prepare for advanced clinical work with older patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6365685PMC
http://dx.doi.org/10.15766/mep_2374-8265.10537DOI Listing

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