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  • Title: Promoting Quality Improvement in Primary Care Through a Longitudinal, Project-Based, Interprofessional Curriculum.
    Author: Dulay M, Saxe JM, Odden K, Strewler A, Lau A, O'Brien B, Shunk R.
    Journal: MedEdPORTAL; 2020 Sep 10; 16():10932. PubMed ID: 32934977.
    Abstract:
    INTRODUCTION: Health professionals must demonstrate competencies in quality improvement (QI) and interprofessional (IP) practice. Yet few curricula are designed to address these competencies in an integrated, longitudinal way. Our experiential IP QI curriculum addresses this gap. METHODS: The IP QI curriculum was part of a San Francisco VA Health Care System training program for second-year internal medicine residents and adult gerontology primary care nurse practitioner students, pharmacy residents, and postdoctoral psychology fellows. Trainees worked in mentored IP teams to select, design, implement, evaluate, and present a project as part of a 9-month curriculum. Teaching methodologies included didactics and project-based skills application. Curriculum evaluation included trainees' QI knowledge and skills self-assessments, trainee satisfaction, mentor appraisals, and project results and impact assessments. RESULTS: From 2011-2012 to 2017-2018, 242 trainees completed the curriculum and 41 QI projects. Trainees reported high satisfaction with the introductory sessions (M = 4.4, SD = 0.7). They also reported improvement in comfort with QI knowledge and skills by the curriculum's completion. QI mentors (n = 23) observed growth in trainees' QI knowledge and skills, felt confident in trainees' ability to orchestrate a QI initiative, and believed their mentored QI projects added value to the organization. Thirty-eight projects resulted in system modifications. DISCUSSION: This IP QI curriculum offers team-based, workplace experiences for trainees to learn and apply QI knowledge and skills. Leading factors for successful implementation included attention to team-building and faculty development. Challenges included reliably collecting evaluation data, accurately measuring ongoing systems changes, and variable trainee engagement.
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