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1.
Fam Med ; 56(1): 24-29, 2024 01.
Artigo em Inglês | MEDLINE | ID: mdl-37870796

RESUMO

BACKGROUND AND OBJECTIVES: In 2020, the Association of Family Medicine Residency Directors (AFMRD) Diversity and Health Equity (DHE) Task Force developed and piloted a framework to measure diversity, equity, and inclusion (DEI) initiatives in medical residencies across five domains: curriculum, evaluation, institution, resident pathway, and faculty pathway. The objectives were (1) to measure DEI initiatives across multiple domains in family medicine residencies using the DEI milestones and (2) to obtain current national baseline data providing criteria against which to measure effectiveness of initiatives and create tailored benchmarks. METHODS: We developed a cross-sectional survey of 12 quantitative residency characteristic items and the five DEI milestone ratings, and distributed the survey to program directors of family medicine residencies accredited by the Accreditation Council for Graduate Medical Education in the spring of 2022. We generated descriptive statistics, including item frequencies and cross-tabulations, and completed subgroup comparisons with analysis of variance. RESULTS: We collected aggregate milestone data for 194 family medicine residencies of 588 eligible programs (33% response rate). Respondents represented 48 states and US territories: 107 community-based, university-affiliated; 48 community-based; 34 university-based; and 5 military/other programs. Overall, the curriculum milestone was rated the highest (mean=2.54, SD=1.03), whereas the faculty pathway (mean=1.94, SD=1.04) and resident pathway (mean=2.02, SD=1.06) milestones were rated lowest. CONCLUSIONS: DEI milestone data may support residency programs as they assess their institution's developmental progress across five key domains. Additionally, aggregate data may shed light on collective strengths and areas for improvement.


Assuntos
Internato e Residência , Humanos , Estados Unidos , Medicina de Família e Comunidade , Estudos Transversais , Diversidade, Equidade, Inclusão , Educação de Pós-Graduação em Medicina , Docentes de Medicina , Acreditação
2.
Ann Fam Med ; 21(Suppl 2): S68-S74, 2023 02.
Artigo em Inglês | MEDLINE | ID: mdl-36849484

RESUMO

PURPOSE: Integrating social care into clinical care requires substantial resources. Use of existing data through a geographic information system (GIS) has the potential to support efficient and effective integration of social care into clinical settings. We conducted a scoping literature review characterizing its use in primary care settings to identify and address social risk factors. METHODS: In December 2018, we searched 2 databases and extracted structured data for eligible articles that (1) described the use of GIS in clinical settings to identify and/or intervene on social risks, (2) were published between December 2013 and December 2018, and (3) were based in the United States. Additional studies were identified by examining references. RESULTS: Of the 5,574 articles included for review, 18 met study eligibility criteria: 14 (78%) were descriptive studies, 3 (17%) tested an intervention, and 1 (6%) was a theoretical report. All studies used GIS to identify social risks (increase awareness); 3 studies (17%) described interventions to address social risks, primarily by identifying relevant community resources and aligning clinical services to patients' needs. CONCLUSIONS: Most studies describe associations between GIS and population health outcomes; however, there is a paucity of literature regarding GIS use to identify and address social risk factors in clinical settings. GIS technology may assist health systems seeking to address population health outcomes through alignment and advocacy; its current application in clinical care delivery is infrequent and largely limited to referring patients to local community resources.


Assuntos
Apoio Social , Tecnologia , Humanos , Bases de Dados Factuais
3.
J Grad Med Educ ; 14(2): 166-170, 2022 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-35463173

RESUMO

Background: As the Accreditation Council for Graduate Medical Education (ACGME) began to ask programs to report their efforts surrounding diversity, equity, and inclusion (DEI), program directors felt ill prepared to evaluate their programs and measure change. Objective: To develop a tool that would allow graduate medical education (GME) programs to evaluate the current state of DEI within their residencies, identify areas of need, and track progress; to evaluate feasibility of using this assessment method within family medicine training programs; and to analyze and report pilot data from implementation of these milestones within family medicine residency programs. Methods: The Association of Family Medicine Residency Directors (AFMRD) Diversity and Health Equity (DHE) Task Force developed a tool for program DEI evaluation modeled after the ACGME Milestones. These milestones focus on DEI assessment in 5 key domains: Institution, Curriculum, Evaluation, Resident Personnel, and Faculty Personnel. After finalizing a draft, a pilot implementation of the milestones was conducted by a convenience sample of 10 AFMRD DHE Task Force members for their own programs. Results: Scores varied widely across surveyed programs for all milestones. Highest average scores were seen for the Curriculum milestone (2.65) and the lowest for the Faculty Personnel milestone (2.0). Milestone assessments were completed within 10 to 40 minutes using various methods. Conclusions: The AFMRD DEI Milestones were developed for program assessment, goal setting, and tracking of progress related to DEI within residency programs. The pilot implementation showed these milestones were easily used by family medicine faculty members in diverse settings.


Assuntos
Internato e Residência , Acreditação , Competência Clínica , Currículo , Educação de Pós-Graduação em Medicina , Docentes de Medicina , Humanos
4.
J Health Care Poor Underserved ; 31(4S): 128-138, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-35061615

RESUMO

To transform primary care with the goal of achieving health equity, changes in the way the health care workforce is selected, trained, and ultimately delivers care should be expedited. Research has repeatedly shown the immense impact of the social determinants of health and the gaps related to health equity in the United States. Despite this knowledge, health care education and delivery systems have been slow to evolve. The Health Resources and Services Administration established the Academic Units for Primary Care Training and Enhancement to work towards strengthening the primary care workforce. Through their research, the six individual Academic Units (AU) have identified gaps related to health equity in their areas of focus. This article provides recommendations from the AUs on ways primary care health professions education can be transformed to advance health equity and serves as background for the articles to follow in the remainder of the supplement.

5.
J Health Care Poor Underserved ; 31(4S): 306-319, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-35061626

RESUMO

INTRODUCTION: This study surveyed the use of systematic strategies to address social determinants of health in the primary care clinical training environment. METHODS: We designed a 51-item questionnaire targeting medical educators from internal medicine, pediatrics, and family practice to assess strategies to identify and mitigate social needs, the role of trainees in this process, and barriers/facilitators to systematic approaches. RESULTS: The survey was completed by 104 medical educators from 77 institutions. Of the 104 respondents, 28% were not familiar with any standardized tools used for screening for social needs, 27% use geospatial (GIS) or geographic information system (GIG) data, and 35% reported that trainees were not involved in any part of assisting. CONCLUSION: Nearly one third of medical educators lack familiarity with standardized screening tools for social needs. More than one third reported that trainees are not involved with mitigating social needs. Geospatial and GIS data are not utilized frequently.

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