Partner-developed electronic health record tools to facilitate social risk-informed care planning.

diabetes mellitus health information technology hypertension participatory design social determinants of health social risk

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:
19 04 2023
Historique:
received: 17 08 2022
revised: 19 12 2022
accepted: 31 01 2023
pmc-release: 13 02 2024
medline: 20 4 2023
pubmed: 14 2 2023
entrez: 13 2 2023
Statut: ppublish

Résumé

Increased social risk data collection in health care settings presents new opportunities to apply this information to improve patient outcomes. Clinical decision support (CDS) tools can support these applications. We conducted a participatory engagement process to develop electronic health record (EHR)-based CDS tools to facilitate social risk-informed care plan adjustments in community health centers (CHCs). We identified potential care plan adaptations through systematic reviews of hypertension and diabetes clinical guidelines. The results were used to inform an engagement process in which CHC staff and patients provided feedback on potential adjustments identified in the guideline reviews and on tool form and functions that could help CHC teams implement these suggested adjustments for patients with social risks. Partners universally prioritized tools for social risk screening and documentation. Additional high-priority content included adjusting medication costs and changing follow-up plans based on reported social risks. Most content recommendations reflected partners' interests in encouraging provider-patient dialogue about care plan adaptations specific to patients' social needs. Partners recommended CDS tool functions such as alerts and shortcuts to facilitate and efficiently document social risk-informed care plan adjustments. CDS tools were designed to support CHC providers and staff to more consistently tailor care based on information about patients' social context and thereby enhance patients' ability to adhere to care plans. While such adjustments occur on an ad hoc basis in many care settings, these are among the first tools designed both to systematize and document these activities.

Identifiants

pubmed: 36779911
pii: 7035393
doi: 10.1093/jamia/ocad010
pmc: PMC10114101
doi:

Banques de données

ClinicalTrials.gov
['NCT05022316']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

869-877

Subventions

Organisme : NIMHD NIH HHS
ID : R01 MD014886
Pays : United States

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Auteurs

Rose Gunn (R)

OCHIN, Inc., Portland, Oregon, USA.

Maura Pisciotta (M)

OCHIN, Inc., Portland, Oregon, USA.

Rachel Gold (R)

OCHIN, Inc., Portland, Oregon, USA.
Kaiser Permanente Center for Health Research, Kaiser Permanente, Portland, Oregon, USA.

Arwen Bunce (A)

OCHIN, Inc., Portland, Oregon, USA.

Katie Dambrun (K)

OCHIN, Inc., Portland, Oregon, USA.

Erika K Cottrell (EK)

OCHIN, Inc., Portland, Oregon, USA.
Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA.

Danielle Hessler (D)

Department of Family and Community Medicine, University of California San Francisco, San Francisco, California, USA.

Mary Middendorf (M)

OCHIN, Inc., Portland, Oregon, USA.

Miguel Alvarez (M)

OCHIN, Inc., Portland, Oregon, USA.

Lydia Giles (L)

Wallace Medical Concern, Portland, Oregon, USA.

Laura M Gottlieb (LM)

Department of Family and Community Medicine, University of California San Francisco, San Francisco, California, USA.

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