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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 analysisUsing 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 disseminationEthical 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.

Original publication

DOI

10.1136/bmjopen-2024-083971

Type

Journal

BMJ open

Publication Date

11/2024

Volume

14

Addresses

Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya bmaritim@kemri-wellcome.org.

Keywords

Humans, Cross-Sectional Studies, Program Evaluation, Research Design, Poverty, Health Expenditures, National Health Programs, Kenya, Female, Male, Universal Health Insurance