Evidence map›Paper›PMID 39578024›Full record

ArticleBMJ open2024

Evaluating the effectiveness of the National Health Insurance Subsidy Programme within Kenya's universal health coverage initiative: a study protocol.

Beryl Maritim, Jacinta Nzinga, Benjamin Tsofa, Anita Musiega, Peter Mwangi Mugo, Ethan Wong, Caitlin Mazzilli, Wangari Ng'an'ga, Brittany Hagedorn, Gillian Turner and 4 more

Abstract read
In one paragraph

Article in BMJ open, 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

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

14 authors.

Beryl MaritimHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya bmaritim@kemri-wellcome.org.ORCID 0000-0002-3754-0735
Jacinta NzingaKEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya.ORCID 0000-0001-8394-8857
Benjamin TsofaHealth Policy and Systems Research, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0003-1000-1771
Anita MusiegaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Peter Mwangi MugoHealth Economics Research Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya.ORCID 0000-0002-1808-3292
Ethan WongBill & Melinda Gates Foundation, Seattle, Washington, USA.
Caitlin MazzilliBill & Melinda Gates Foundation, Seattle, Washington, USA.
Wangari Ng'an'gaBill & Melinda Gates Foundation, Seattle, Washington, USA.
Brittany HagedornGates Foundation, Seattle, Washington, USA.
Gillian TurnerThinkWell Global, Washington, Washington, USA.
Anne MusuvaThinkWell Global, Nairobi, Kenya.
Felix MuriraThinkWell Global, Nairobi, Kenya.
Nirmala RavishankarThinkWell Global, Washington, Washington, USA.
Edwine BarasaHealth Economics Research Unit, Kenya Medical Research Institute, Nairobi, Kenya.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundLow-income and middle-income countries, including Kenya, are pursuing universal health coverage (UHC) through the establishment of Social Health Insurance programmes. As Kenya rolls out the recently unveiled UHC strategy that includes a national indigent cover programme, the goal of this study is to evaluate the impact of health insurance subsidy on poor households' healthcare costs and utilisation. We will also assess the effectiveness and equity in the beneficiary identification approach employed. METHODOLOGY AND ANALYSIS: Using a quantitative design with quasi-experimental and cross-sectional methods, our matched cohort study will recruit 1350 households across three purposively selected counties. The 'exposure' arm, enrolled in the UHC indigent programme, will be compared with a control arm of eligible but unenrolled households over 12 months. Coarsened exact matching will be used to pair households based on baseline characteristics, analysing differences in expenses and catastrophic health expenditure. A cross-sectional design will be employed to evaluate the effectiveness and equity in beneficiary identification, estimating inclusion errors associated with the subsidy programme while assessing gender equity. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Scientific and Ethics Review Unit at Kenya Medical Research Institute, with additional permissions sought from County Health Departments. Participants will provide written informed consent. Dissemination strategies include peer-reviewed publications, conference presentations and policy-maker engagement for broad accessibility and impact.

Indexed as

National Health ProgramsUniversal Health InsuranceCross-Sectional StudiesFemaleHealth ExpendituresHumansKenyaMalePovertyProgram EvaluationResearch DesignHealth economicsHEALTH ECONOMICSHealth EquityHealth policy

Identifiers

PMID39578024
PMCPMC11590815

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.