Evidence map›Paper›PMID 42778946›Full record

ReviewResearch involvement and engagement2026

Facilitators and barriers to patient and public involvement in developing learning health systems within community health services: ascoping review.

Isis Kelly Dos Santos, Krisztina Vasarhelyi, Karen Lok Yi Wong, Annette Berndt, Tracy Windsor, Katrina Yuen, Yong Zhao, Jeffrey Wong, Sue Macdonald, Andreas Pilarinos and 1 more

Abstract readReview
In one paragraph

Review in Research involvement and engagement, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Isis Kelly Dos SantosInnovation in Dementia and Aging Lab, The University of British Columbia, Vancouver, Canada.
Krisztina VasarhelyiVancouver Coastal Health, Vancouver, Canada.
Karen Lok Yi WongDepartment of Social Work, The Chinese University of Hong Kong, Hong Kong, China.
Annette BerndtInnovation in Dementia and Aging Lab, The University of British Columbia, Vancouver, Canada.
Tracy WindsorThe Kaleidoscope Mental Health Support Society, Vancouver, Canada.
Katrina YuenInnovation in Dementia and Aging Lab, The University of British Columbia, Vancouver, Canada.
Yong ZhaoInnovation in Dementia and Aging Lab, The University of British Columbia, Vancouver, Canada.
Jeffrey WongFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada.
Sue MacdonaldVancouver Coastal Health, Vancouver, Canada.
Andreas PilarinosIndigenous Health Research Unit, Vancouver Coastal Health Research Institute, Vancouver, Canada.
Lillian HungInnovation in Dementia and Aging Lab, The University of British Columbia, Vancouver, Canada. lillian.hung@ubc.ca.

Funding

CIHR GR032564
6 · The paper itself

Abstract

BACKGROUND AND

aimsLearning Health Systems (LHS) integrate research, clinical expertise, and patient data to continuously improve health care. Although community engagement is central to LHS, existing literature has largely focused on data infrastructure, clinical improvement, and system learning, with limited attention to meaningful patient and public involvement (PPI) in community-based care. This review aimed to identify facilitators and barriers to such involvement in the development of LHS in community health services.

methodsWe conducted a scoping review in line with the JBI methodology and searched MEDLINE (Ovid), CINAHL, Embase, PsycINFO, Scopus, Web of Science, and Google Scholar. Reference lists were searched using forward and backward citation. The date of the last search was August 10, 2026. We excluded studies conducted in acute or hospital settings and conference proceedings. Two reviewers independently screened and extracted data using Covidence, and NVivo was used to synthesize the outcomes.

resultsWe identified 12 studies published between 2017 and 2025, most conducted in the United States (75%). Studies included diverse populations such as older adults, individuals with chronic disease survivors, LGBTQ+ individuals in cancer survivorship care, and stroke survivors. Patient and public involvement ranged from consultation and interviews to partnership and co-design, while shared governance or co-led models were uncommon. Barriers to meaningful involvement included mistrust in healthcare systems, structural inequities, fragmented care pathways, poor communication, limited infrastructure, lack of sustainable engagement support, and power imbalances that contributed to tokenistic participation. Facilitators included trust-building, mutual respect, community partnerships, culturally responsive engagement, co-design approaches, and supportive organizational leadership. Strategies to enhance engagement included care coordination tools, telehealth, inclusive recruitment practices, bidirectional feedback systems, knowledge translation initiatives, and patient and family participation in decision-making and service design.

conclusionThis review highlights that meaningful patient and public involvement in Learning Health Systems depends not only on technical infrastructure, but also on relational, organizational, and structural conditions that support equitable participation. Findings suggest that community-based LHS development requires sustained investment in trust-building, shared decision-making, inclusive governance, and long-term engagement strategies. Future research should examine how participatory approaches influence equity, governance, service improvement, and long-term Learning Health System outcomes.

Indexed as

Co-designCommunity health servicesHealth equityLearning health systemPatient and public involvementPatient engagement

Identifiers

PMID42778946
PMCPMC13599110

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.