Literature DB >> 19609192

Shared medical appointments: a potential venue for education in interprofessional care.

Susan R Kirsh1, Kimberley Schaub, David C Aron.   

Abstract

BACKGROUND: Interprofessional practice has increasingly been recognized as important for chronic illness care. Recently, several health care professional-accrediting bodies have called for integration of interprofessional care and education. The shared medical appointment (SMA) is an interprofessional practice model that provides an educational opportunity.
OBJECTIVE: A description of this innovative educational model, the challenges associated with the implementation, and the evaluation are presented.
METHOD: Mixed quantitative and qualitative analysis were utilized.
RESULTS: Preliminary evaluation suggests that SMAs promote improved trainee/student understanding of both the complexity of diabetes care and the seriousness of the illness, along with an increased confidence in the ability to communicate with providers from other disciplines.
CONCLUSION: Further research to determine the efficacy of SMAs as an interprofessional training venue is needed that focuses on comprehensive assessment, necessary dose of exposure, and identification of barriers to overcome operational issues.

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Mesh:

Year:  2009        PMID: 19609192     DOI: 10.1097/QMH.0b013e3181aea27d

Source DB:  PubMed          Journal:  Qual Manag Health Care        ISSN: 1063-8628            Impact factor:   0.926


  2 in total

1.  Characteristics and Delivery of Diabetes Shared Medical Appointments in North Carolina.

Authors:  Connor Drake; Julienne K Kirk; John B Buse; David Edelman; Christopher M Shea; Susan Spratt; Laura A Young; Anna R Kahkoska
Journal:  N C Med J       Date:  2019 Sep-Oct

2.  Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care--systematic decision aid development and study protocol.

Authors:  Catherine H Yu; Dawn Stacey; Joanna Sale; Susan Hall; David M Kaplan; Noah Ivers; Jeremy Rezmovitz; Fok-Han Leung; Baiju R Shah; Sharon E Straus
Journal:  Implement Sci       Date:  2014-01-22       Impact factor: 7.327

  2 in total

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