Characterising consumer engagement in virtual models of care: A systematic review and narrative synthesis.

Consumer engagement Digital health E-health Patient involvement Patient participation Patient safety Virtual care

Journal

Patient education and counseling
ISSN: 1873-5134
Titre abrégé: Patient Educ Couns
Pays: Ireland
ID NLM: 8406280

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 02 01 2023
revised: 14 07 2023
accepted: 20 07 2023
pubmed: 6 8 2023
medline: 6 8 2023
entrez: 5 8 2023
Statut: ppublish

Résumé

Widespread adoption of digital tools and technologies now support the delivery of virtual healthcare. Although, consumer engagement is central to care processes in virtual care models, there is paucity of evidence regarding the nature and outcomes of consumer engagement. This study aimed to determine the nature of consumer engagement used in virtual models of care, and its impact on quality and safety of care. A systematic review was undertaken with a narrative synthesis, with a search strategy applied to five electronic databases (CINAHL, EMBASE, MEDLINE, PsycINFO and Web of Science) RESULTS: Fifty-eight studies were included in the review that utilised a variety of virtual models of care across care services. Consumer engagement, such as patients' active involvement in monitoring, capturing and reporting their health data, was a common feature of the identified virtual models. Increasing use of virtual models of care requires consideration of the role of patients and their support persons in the use of technology and in wider care processes that occur at a distance from health professionals. Ensuring consumers are equipped with necessary support to effectively engage in virtual care is important to ensure equity in access to, and outcomes of, virtual care models.

Sections du résumé

BACKGROUND BACKGROUND
Widespread adoption of digital tools and technologies now support the delivery of virtual healthcare. Although, consumer engagement is central to care processes in virtual care models, there is paucity of evidence regarding the nature and outcomes of consumer engagement. This study aimed to determine the nature of consumer engagement used in virtual models of care, and its impact on quality and safety of care.
METHODS METHODS
A systematic review was undertaken with a narrative synthesis, with a search strategy applied to five electronic databases (CINAHL, EMBASE, MEDLINE, PsycINFO and Web of Science) RESULTS: Fifty-eight studies were included in the review that utilised a variety of virtual models of care across care services. Consumer engagement, such as patients' active involvement in monitoring, capturing and reporting their health data, was a common feature of the identified virtual models.
CONCLUSION CONCLUSIONS
Increasing use of virtual models of care requires consideration of the role of patients and their support persons in the use of technology and in wider care processes that occur at a distance from health professionals. Ensuring consumers are equipped with necessary support to effectively engage in virtual care is important to ensure equity in access to, and outcomes of, virtual care models.

Identifiants

pubmed: 37542823
pii: S0738-3991(23)00302-6
doi: 10.1016/j.pec.2023.107922
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

107922

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest no COI.

Auteurs

Maha Pervaz Iqbal (MP)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia. Electronic address: maha.iqbal@mq.edu.au.

Bronwyn Newman (B)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Louise A Ellis (LA)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Stephen Mears (S)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Reema Harrison (R)

Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.

Classifications MeSH