Evidence map›Paper›PMID 42841068›Full record

ReviewJournal of healthcare leadership2026

From Consultation to Partnership: Leadership for Patient, Family, and Community Engagement in People-Centred Health Systems in LMICs: A Narrative Review.

Mohamed Abubakar Ahmed

Abstract readReview
In one paragraph

Review in Journal of healthcare leadership, 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

1 author.

Mohamed Abubakar AhmedDepartment of Critical Care Medicine, Dr. Sumait Hospital, SIMAD University, Mogadishu, Somalia.ORCID 0009-0004-7070-8407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People-centred health systems depend on more than inviting patients, families, and communities to provide feedback. Meaningful engagement requires opportunities for people to influence decisions and healthcare organizations that can respond to their priorities. This structured narrative review used targeted searches of PubMed-indexed literature and World Health Organization sources to identify relevant reviews, health-systems studies, and recent evidence. The synthesis focused on leadership approaches that support a shift from one-way consultation to meaningful partnership in low- and middle-income countries (LMICs), drawing on literature on community participation, patient and public involvement, co-creation, social accountability, and people-centred care. The literature indicates that partnership is more credible when leaders create inclusive representation, share decision-making, allocate time and resources, clarify accountability, and close feedback loops by showing how community input affects services. Common barriers include hierarchical decision processes, limited institutional capacity, unequal opportunities to participate, communication gaps, and poor follow-through on feedback. Drawing these findings together, this review proposes the LISTEN leadership framework: Listen, Include, Share Decisions, Train and Resource Participation, Establish Accountability Loops, and Notice Equity and Outcomes. The framework is presented as a practical synthesis rather than a validated instrument. People-centred leadership should therefore be assessed not only by whether patients and communities are invited to participate, but also by whether their involvement influences decisions, strengthens trust and responsiveness, and contributes to more equitable and higher-quality health systems.

Indexed as

community engagementhealthcare leadershiphealth systemspatient experiencepeople-centred carequality improvement

Identifiers

PMID42841068
PMCPMC13641102

What OpenQuestion holds

Textmetadata
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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.