Evidence map›Paper›PMID 42321690›Full record

SynthesisBMC public health2026

Healthcare interventions to improve health outcomes for racially/ethnic minoritised people with multiple long-term conditions: a systematic review and narrative synthesis.

Brenda Hayanga, Mengxing Joshi, Kathryn Hartley, Patrick Oyibo, Rida Sarwar, Sakib Tariq, Mavin Kashyap, Laia Bécares

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC public health, 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. Cultural Adaptations of Healthcare Interventions: A Step-by-Step Guide.Health expectations : an international journal of public participation in health care and health policy · 2026
    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

8 authors.

Brenda HayangaDepartment of Global Health & Social Medicine, Faculty of Social Science & Public Policy, King's College London, Bush House NE Wing, 30 Aldwych, London, WC2B 4BG, UK. brenda.1.hayanga@kcl.ac.uk.
Mengxing JoshiSchool of Geography & Sustainable Development, University of St. Andrews, Fife, UK.
Kathryn HartleySocial Research Institute, Institute of Education, University College London, London, UK.
Patrick OyiboSchool of Health & Medical Sciences, City St. George's, University of London, London, UK.
Rida SarwarSchool of Health & Medical Sciences, City St. George's, University of London, London, UK.
Sakib TariqSchool of Health & Medical Sciences, City St. George's, University of London, London, UK.
Mavin KashyapCentre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Laia BécaresDepartment of Global Health & Social Medicine, Faculty of Social Science & Public Policy, King's College London, Bush House NE Wing, 30 Aldwych, London, WC2B 4BG, UK.

Funding

King's College London's Social Science and Public Policy Faculty Research and Impact Fund AC17465Wellcome Trust 315963/Z/24/Z
6 · The paper itself

Abstract

backgroundRacially/ethnic minoritised people with multiple long-term conditions (MLTCs) face inequalities across different dimensions of healthcare, yet little is known about how to improve their healthcare outcomes. This systematic review and narrative synthesis seeks to identify and describe healthcare interventions designed to improve health outcomes for racially/ethnic minoritised people with MLTCs and identify areas for further exploration. Given that primary care is considered the ideal setting to manage MLTCs, we focus on interventions targeted at healthcare providers/systems.

methodsWe searched 9 bibliographic databases and one website and identified 6566 studies, 15 of which met the inclusion criteria. Given the heterogeneity of interventions, health conditions and outcomes of interest, we conducted a narrative synthesis.

resultsThe studies were conducted in the US (n = 13), Canada (n = 1) and Australia (n = 1). Most studies recruited racially/ethnic minoritised people mainly of African American and Hispanic/Latinx descent with comorbid Depression and a physical condition (Diabetes (n = 3), Hypertension (n = 3), Cancer (n = 2). Depression/mental health outcomes, patient-reported outcomes, clinical outcomes, medication use, and adherence were the most frequently assessed outcomes. Few studies reported on provider-related outcomes. All interventions made socio-cultural adaptations, thereby, promoting equitable and inclusive care. Community actors/assets were considered key to improving health outcomes. Of the 15 interventions, five resulted in statistically significant improvements in all outcomes of interest and nine resulted in improvements in some outcomes.

conclusionsThis review illustrates the feasibility of socio-culturally adapted interventions, many of which successfully integrate physical and mental healthcare, delivered through multidisciplinary teams working collaboratively, and leveraging community assets to improve health outcomes for racially/ethnic minoritised people with MLTCs. Future research is needed to assess the impact of these interventions beyond North America and Australia. Studies are also required to identify provider-related outcomes with the potential to improve outcomes for racially/ethnic minoritised people with MLTCs.

Indexed as

Chronic DiseaseDelivery of Health CareEthnic and Racial MinoritiesAustraliaCanadaEthnicityHealthcare DisparitiesHumansRacial GroupsUnited StatesEthnicityHealthcareInequalitiesInterventionsMultiple long-term conditionsRace

Identifiers

PMID42321690
PMCPMC13445657

What Socratic 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 Socratic graph.