Exploring perceptions of genetic counseling student-run free clinics as an innovative service delivery model to increase access to genetic counseling services.

accessibility genetic counseling genetics services service delivery models student‐run free clinics underrepresented populations

Journal

Journal of genetic counseling
ISSN: 1573-3599
Titre abrégé: J Genet Couns
Pays: United States
ID NLM: 9206865

Informations de publication

Date de publication:
24 Sep 2024
Historique:
revised: 24 05 2024
received: 16 11 2023
accepted: 23 08 2024
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 25 9 2024
Statut: aheadofprint

Résumé

Underrepresented groups lack access to genetics services, heightening health disparities among those who benefit from advancements in precision medicine. An innovative approach to addressing this gap in care and increasing health equity in the context of genetic counseling is student-run free clinics (SRFCs). While only one recently established SRFC for genetic counseling is reported in the literature, SRFCs have a long-standing presence in other health professional schools, such as nursing, pharmacy and physical therapy, and research supports the benefits for patients and students. This qualitative study aims to explore the perspectives of certified genetic counselors (CGCs) and genetic counseling  students (GC students) regarding SRFCs as an innovative service delivery model to increase access to genetic counseling services. Semi-structured Zoom interviews were conducted with 10 CGCs and 10 GC students across the United States. Participants were asked open-ended questions about how SRFCs could meet needs of the field, potential challenges in creating and maintaining these clinics, and anticipated outcomes. Through abductive thematic analysis of interview transcripts, three main themes were identified: (1) SRFCs can be mutually beneficial as alignment with profession goals potentially leads to positive outcomes for patients and students; (2) student scope of duties will vary depending on student ability corresponding with their training timeline and level of required supervision; and (3) successful SRFC implementation and sustainability will require thoughtful planning regarding collaboration, infrastructure support, clinic operations, visibility, and protections for vulnerable groups. Participants recognized SRFCs' potential to reduce health disparities by expanding access to genetic counseling for uninsured and underinsured populations. Implementing SRFCs could enhance the quality of GC student training, providing opportunities to apply skills and gain experience working with diverse patient populations. A key subtheme was the need to foster support from the CGC community in transitioning from a traditional supervision model. This research provides a baseline framework from which to further develop and implement SRFCs for genetic counseling.

Identifiants

pubmed: 39318130
doi: 10.1002/jgc4.1966
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : David Geffen School of Medicine, University of California, Los Angeles

Informations de copyright

© 2024 The Author(s). Journal of Genetic Counseling published by Wiley Periodicals LLC on behalf of National Society of Genetic Counselors.

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Auteurs

Shayna Morgan (S)

Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.

Clara Lajonchere (C)

Department of Neurology, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
UCLA Institute for Precision Health, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.

Michael Prelip (M)

Department of Community Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA.

Christina G S Palmer (CGS)

Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA.
Institute for Society and Genetics, UCLA, Los Angeles, California, USA.

Classifications MeSH