Evidence map›Paper›PMID 42292920›Full record

ArticleNIHR open research2026

Developing community-based programme theories to address unmet needs of people experiencing homelessness and severe mental illness: protocol for a realist review.

Sisay Abayneh, Laura Asher, Caroline Smartt, Victoria Mutiso, Peter Badimak Yaro, Eleni Misganaw, Kimberly Kariuki, Faith Mukami, Cecilia Ashaley Fofo, Tizaa Hannan Legend and 6 more

Abstract read
In one paragraph

Article in NIHR open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Sisay AbaynehCentre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa University College of Health Sciences, Addis Ababa, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0003-4944-0384
Laura AsherNottingham Centre for Public Health and Epidemiology, School of Medicine,, Institute of Mental Health, University of Nottingham, Nottingham, UK.
Caroline SmarttDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Victoria MutisoAfrica Institute of Mental and Brain Health, Nairobi, Kenya.
Peter Badimak YaroBasicneeds-Ghana, Accra, Ghana.
Eleni MisganawMental Health Service Users Association - Ethiopia, Addis Ababa,, Ethiopia.ORCID https://orcid.org/0000-0002-3912-3409
Kimberly KariukiKenya Medical Research Institute, Centre for Clinical Research, Division of Mental Health, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-6818-7348
Faith MukamiMental 360 Kenya, Nairobi, Kenya.
Cecilia Ashaley FofoBasicneeds-Ghana, Accra, Ghana.
Tizaa Hannan LegendBasicneeds-Ghana, Accra, Ghana.
Hasset ChenuMental Health Service Users Association - Ethiopia, Addis Ababa,, Ethiopia.
Ursula ReadSchool of Health and Social Care, University of Essex, Colchester, UK.
Rosie MaystonDepartment of Global Health and Social Medicine, King's College London, London, UK.
Ribka BirhanuCollege of Health Sciences, School of Medicine, Department of Psychiatry and WHO Collaborating Centre in Mental Health Research and Capacity-Building, Addis Ababa University, Addis Ababa, Ethiopia.
Atalay AlemCollege of Health Sciences, School of Medicine, Department of Psychiatry and WHO Collaborating Centre in Mental Health Research and Capacity-Building, Addis Ababa University, Addis Ababa, Ethiopia.
Charlotte HanlonCentre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa University College of Health Sciences, Addis Ababa, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-7937-3226

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: People experiencing both homelessness and severe mental illness have complex needs requiring coordinated multi-sectoral and multilevel interventions. Several systematic reviews of interventions exist internationally; however, evidence on the mechanism of change and contextual factors is limited. The proposed realist review aims to synthesize evidence to understand what interventions work, how, why, for whom, and under what circumstances in low and middle-income country settings. Methods: This work is nested within the National Institute for Health and Care Research (NIHR) Global Health Research Group on Homelessness and Mental Health in Africa (HOPE) project in Ethiopia, Ghana, and Kenya. In HOPE, we use participatory methods to develop and evaluate community-based interventions to address the unmet needs of people who are homeless and have severe mental illness living in the three countries. This protocol details the methodology for a realist review to inform the development, testing, and refinement of a programme theory for intervention. The review will follow five iterative steps. Step 1: Clarify the review scope and develop initial programme theories (IPTs). Step 2: Search for evidence across electronic databases and hand search for published studies to test and refine the IPTs. Step 3: Select and appraise studies. Step 4: Extract data, Step 5: Analyse and synthesize extracted data. The IPTs will be supplemented with formal theories to enhance their explanatory power. Key stakeholders will give critical inputs throughout the review process. Discussion: The findings of the realist review will inform the development of contextually relevant programme theories to address the unmet needs of people who are homeless and have severe mental illness in LMICs, which will then be tested and refined within a realist evaluation. PROSPERO registration: CRD420251067136.

Indexed as

Homelessness; programme theory; realist approach; severe mental illness

Identifiers

PMID42292920
PMCPMC13254523

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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.