Evidence map›Paper›PMID 41209622›Full record

ArticleInternational journal of integrated care

By Residents, for Residents: Evaluating a Community-Led Peer Health Education Program in Australian Social Housing Communities.

Esther Tordjmann, Fiona Haigh

Abstract readCase Reports
In one paragraph

Article in International journal of integrated care. 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

2 authors.

Esther TordjmannSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0001-5598-6880
Fiona HaighSydney Local Health District, Australia.ORCID https://orcid.org/0000-0002-5706-5118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Socially disadvantaged and marginalised groups experience significant barriers to accessing healthcare compounded by the complexity and lack of integration between health services. Social housing residents face persisting health inequities linked to poverty, stigma and chronic conditions. International evidence suggests tailored, community-based initiatives can advance health and equity by building capacity, trust and engagement, notably through peer-based roles. However, there is little detailed literature on the mechanisms that support successful implementation and impacts across both community and health systems. Description: The paper describes the implementation and evaluation of a community-driven and co-designed peer-to-peer health education program in social housing communities in Australia. We use a mixed-methods, realist-informed methodology to assess the program's effectiveness and identify success factors at individual, program and organisational levels. Discussion: An important lesson is that a strength-based and community-led model is effective in areas of entrenched disadvantage and can have greater reach than other health promotion approaches. The program's flexibility, holistic remit, and focus on sharing power and trust-building were crucial for its success. Conclusion: Peer and community-based initiatives are becoming an increasingly important component of integrated care programs. Valuing the process as well as the outcomes and providing long-term timeframes and ongoing resources are critical to sustain change.

Indexed as

community-based health promotionco-productionhealth equitypeer educationrealist evaluationsocial housing

Identifiers

PMID41209622
PMCPMC12594079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.