Patient portal use among veterans with depression: Associations with symptom severity and demographic characteristics.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 10 2020
Historique:
received: 21 11 2019
revised: 12 06 2020
accepted: 23 06 2020
entrez: 1 8 2020
pubmed: 1 8 2020
medline: 16 2 2021
Statut: ppublish

Résumé

Patient portals can support self-management behaviors and increase continuity of care. It is therefore important to understand how individuals with depression are interacting with patient portals, to ensure that they have access to tools that can improve outcomes. The purpose of the current retrospective analysis was to examine associations between symptom severity, demographic characteristics and patient portal adoption and use among Veterans with depression diagnoses. Data were collected within a larger retrospective analysis of use of the Veterans Health Administration patient portal, My HealtheVet (MHV). The final sample included 3053 Veterans with diagnoses of depression and at least two measures of depressive symptoms. Regressions tested whether depressive symptoms and demographic variables were associated with MHV registration and feature use. Veterans with more severe depression were more likely to have registered for MHV and downloaded medical record content compared to those with milder symptoms. Maleand older Veterans had lower rates of portal registration, and African American Veterans had lower rates of portal feature use. Limitations include restriction to a Veteran population who first used MHV in FY2013 as opposed to prior or subsequent years. Patients with more severe depression may have increased interest in and use of patient portals. Demographic differences in portal use continue to be observed; barriers to uptake must be identified so disparities can be addressed.

Sections du résumé

BACKGROUND
Patient portals can support self-management behaviors and increase continuity of care. It is therefore important to understand how individuals with depression are interacting with patient portals, to ensure that they have access to tools that can improve outcomes. The purpose of the current retrospective analysis was to examine associations between symptom severity, demographic characteristics and patient portal adoption and use among Veterans with depression diagnoses.
METHODS
Data were collected within a larger retrospective analysis of use of the Veterans Health Administration patient portal, My HealtheVet (MHV). The final sample included 3053 Veterans with diagnoses of depression and at least two measures of depressive symptoms. Regressions tested whether depressive symptoms and demographic variables were associated with MHV registration and feature use.
RESULTS
Veterans with more severe depression were more likely to have registered for MHV and downloaded medical record content compared to those with milder symptoms. Maleand older Veterans had lower rates of portal registration, and African American Veterans had lower rates of portal feature use.
LIMITATIONS
Limitations include restriction to a Veteran population who first used MHV in FY2013 as opposed to prior or subsequent years.
CONCLUSIONS
Patients with more severe depression may have increased interest in and use of patient portals. Demographic differences in portal use continue to be observed; barriers to uptake must be identified so disparities can be addressed.

Identifiants

pubmed: 32734917
pii: S0165-0327(20)32470-8
doi: 10.1016/j.jad.2020.06.073
pmc: PMC9373006
mid: NIHMS1827731
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

255-259

Subventions

Organisme : HSRD VA
ID : I01 HX001637
Pays : United States
Organisme : Intramural VA
ID : VA999999
Pays : United States

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

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Auteurs

Samantha L Connolly (SL)

Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, United States; Department of Psychiatry, Harvard Medical School, Boston, MA, United States. Electronic address: samantha.connolly@va.gov.

Bella Etingen (B)

Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL, United States.

Stephanie L Shimada (SL)

Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States; Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States; Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States.

Timothy P Hogan (TP)

Center for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.

Kim Nazi (K)

Independent Consultant, Coxsackie, NY, United States.

Kevin Stroupe (K)

Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL, United States.

Bridget M Smith (BM)

Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL, United States; Center for Healthcare Studies, Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

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