A scoping review of qualitative research in JAMIA: past contributions and opportunities for future work.

computer-supported cooperative work human–computer interaction medical informatics methods qualitative research science technology studies

Journal

Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800

Informations de publication

Date de publication:
15 02 2021
Historique:
received: 29 02 2020
revised: 07 08 2020
accepted: 17 07 2020
pubmed: 24 11 2020
medline: 17 7 2021
entrez: 23 11 2020
Statut: ppublish

Résumé

Qualitative methods are particularly well-suited to studying the complexities and contingencies that emerge in the development, preparation, and implementation of technological interventions in real-world clinical practice, and much remains to be done to use these methods to their full advantage. We aimed to analyze how qualitative methods have been used in health informatics research, focusing on objectives, populations studied, data collection, analysis methods, and fields of analytical origin. We conducted a scoping review of original, qualitative empirical research in JAMIA from its inception in 1994 to 2019. We queried PubMed to identify relevant articles, ultimately including and extracting data from 158 articles. The proportion of qualitative studies increased over time, constituting 4.2% of articles published in JAMIA overall. Studies overwhelmingly used interviews, observations, grounded theory, and thematic analysis. These articles used qualitative methods to analyze health informatics systems before, after, and separate from deployment. Providers have typically been the main focus of studies, but there has been an upward trend of articles focusing on healthcare consumers. While there has been a rich tradition of qualitative inquiry in JAMIA, its scope has been limited when compared with the range of qualitative methods used in other technology-oriented fields, such as human-computer interaction, computer-supported cooperative work, and science and technology studies. We recommend increased public funding for and adoption of a broader variety of qualitative methods by scholars, practitioners, and policy makers and an expansion of the variety of participants studied. This should lead to systems that are more responsive to practical needs, improving usability, safety, and outcomes.

Identifiants

pubmed: 33225361
pii: 5998477
doi: 10.1093/jamia/ocaa179
pmc: PMC7883991
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

402-413

Subventions

Organisme : NCATS NIH HHS
ID : TL1 TR001415
Pays : United States

Informations de copyright

Published by Oxford University Press on behalf of the American Medical Informatics Association 2020. This work is written by US Government employees and is in the public domain in the US.

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Auteurs

Mustafa I Hussain (MI)

Department of Informatics, Donald Bren School of Informatics and Computer Science, University of California Irvine, Irvine, California, USA.

Mayara Costa Figueiredo (MC)

Department of Informatics, Donald Bren School of Informatics and Computer Science, University of California Irvine, Irvine, California, USA.

Brian D Tran (BD)

Department of Informatics, Donald Bren School of Informatics and Computer Science, University of California Irvine, Irvine, California, USA.
Medical Scientist Training Program, School of Medicine, University of California Irvine, Irvine, California, USA.

Zhaoyuan Su (Z)

Department of Informatics, Donald Bren School of Informatics and Computer Science, University of California Irvine, Irvine, California, USA.

Stephen Molldrem (S)

Department of Anthropology, University of California Irvine, Irvine, California, USA.

Elizabeth V Eikey (EV)

Department of Family Medicine and Public Health & Design Lab, University of California San Diego, San Diego, California, USA.

Yunan Chen (Y)

Department of Informatics, Donald Bren School of Informatics and Computer Science, University of California Irvine, Irvine, California, USA.

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