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Abstract/Summary
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Background!#!The treatment gap for mental and behavioral health (MBH) in the United States (US) remains a major public health concern. Given the growing need for a robust MBH workforce, particularly for underserved populations, calls for integrated MBH in primary care have been mounting. Family medicine providers, who know and can treat all members of a family within the same setting, are uniquely positioned to manage MBH conditions.!##!Objectives!#!With HRSA funding, the University of Utah Family Medicine Residency (UUFMR) seeks to address gaps in mental health services by enhancing or developing MBH training and partnerships. This protocol describes the project's evaluation. The evaluation aims to identify areas to improve training content, describe training capacity, and assess intermediate outcomes of improved trainings.!##!Methods!#!The evaluation consists of three components: analyzing current curriculum and best practices, developing or enhancing trainings with partners, and assessing residents' and graduates' confidence in providing MBH care.!##!Results!#!The results from this protocol fill gaps in the current literature regarding evaluation methods for provider- and organizational-level outcomes of increased quality and capacity of residency training in MBH. Further, the results provide practical guidance for other residencies seeking to integrate MBH training into their curriculum.!##!Conclusion!#!Considering the resources committed to the ongoing enhancement of resident education, it is crucial to evaluate the implementation and outcomes of improvements to ensure that limited resources are well-utilized. Assessing the training capacity developed through collaboration supports progress toward creating a high-quality, accessible, and integrated mental and behavioral healthcare system in primary care.
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1000
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Hinweis
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DeepGreen-ID: dc6ab1a32e974d269e22600dff29e475 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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