Evidence map›Paper›PMID 39666760›Full record

ArticlePLOS global public health2024

Understanding health system responsiveness to public feedback at the sub-national level: Insights from Kilifi County, Kenya.

Nancy Kagwanja, Lucy Gilson, Benjamin Tsofa, Jill Olivier, Hassan Leli, Sassy Molyneux

Abstract read
In one paragraph

Article in PLOS global public health, 2024. 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

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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

6 authors.

Nancy KagwanjaHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0002-4411-4961
Lucy GilsonHealth Policy and Systems Division, School of Public Health, University of Cape Town, Western Cape, South Africa.
Benjamin TsofaHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Jill OlivierHealth Policy and Systems Division, School of Public Health, University of Cape Town, Western Cape, South Africa.
Hassan LeliCounty Department of Health, Kilifi County Government, Kilifi, Kenya.
Sassy MolyneuxHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0001-9522-416X

Funding

EPA EP-C-15-003Wellcome Trust
6 · The paper itself

Abstract

Responsiveness is one of four health system goals alongside health outcomes, equity in financing and efficiency. Many studies examining responsiveness report a composite satisfaction index or proportions of patients describing satisfaction with dimensions of responsiveness. Consequently, responsiveness is predominantly based on collation of service users' feedback and could be termed service responsiveness. We conceptualise system responsiveness more broadly, as how the health system more widely responds to concerns or needs of the public. In this paper we share a system responsiveness framework to reflect this wider conceptualisation and illustrate how we used this framework combined with Aragon's insights on organisational capacity, to explore system responsiveness practices at sub-national level in Kenya. Drawing on interviews and group discussions we specifically consider how two governance structures -Health Facility Committees (HFCs) and Sub-County Health Management Teams (SCHMTs)- found in many Low-and-Middle-Income (LMIC) health systems receive, process, and respond to public feedback. HFCs are formal structures with community representation linked to a health facility to support community participation in service provision and health outcomes. SCHMTs comprise middle-level managers with oversight over primary health care facilities and are commonly known as district health management teams in other LMICs. There were multiple feedback mechanisms through which the health system could receive public feedback, but these mechanisms had limited functionality, often worked in isolation, and inadequately represented vulnerable groups. Our analysis also revealed the organisational capacity gaps that constrain health system responsiveness. These gaps ranged from inadequate funding and staffing of feedback mechanisms (hardware), through absence of clear procedures and guidelines (tangible software), to norms, actor relationships and power dynamics (intangible software elements). Our findings are relevant to similar low-and-middle-income contexts and draw attention to the importance of integrating multiple mechanisms and forms of feedback, alongside considering system capacities and their interactions, in strengthening health system responsiveness.

Identifiers

PMID39666760
PMCPMC11637338

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.