Evidence map›Paper›PMID 36978061›Full record

ArticleBMC public health2023

Factors related to women's use of health insurance cover in Navakholo, Kakamega County, Kenya: sub-county level results based on community household register.

Rachel Ambalu, Sadiq Rashid, Saul Atwa, Mariam Otira, Lucia Ndolo, David Ojakaa

Open access · goldFull text read
In one paragraph

Article in BMC public health, 2023. 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
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

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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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Rachel AmbaluAmref Health Africa (H.Q), P.O. Box 27691-00506, Nairobi, Kenya. racobiero@gmail.com.
Sadiq RashidAmref Health Africa (H.Q), P.O. Box 27691-00506, Nairobi, Kenya.
Saul AtwaAmref Health Africa (H.Q), P.O. Box 27691-00506, Nairobi, Kenya.
Mariam OtiraAmref Health Africa (H.Q), P.O. Box 27691-00506, Nairobi, Kenya.
Lucia NdoloAmref Health Africa (H.Q), P.O. Box 27691-00506, Nairobi, Kenya.
David OjakaaBRIM Research, P. O. Box 76100, 00508, Code, Yaya Towers, Nairobi, Kenya.
Amref Health Africa · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn concert with international commitments, the Government of Kenya identified Universal Health Coverage (UHC), mainly through the National Health Insurance Fund (NHIF), as one of its four priority agenda to enable its populations access health care without financial duress. Nevertheless, only about 19.5% of the Kenyan population is enrolled in any insurance health cover. Since 2016, Amref Health Africa and PharmAccess Foundation have been implementing the Innovative Partnership for Universal and Sustainable Healthcare (iPUSH) programme in Navakholo sub-county of Kakamega County. The main objective of this study is to examine use of health insurance cover among Women of Reproductive Age (WRA) in Navakholo sub-county, Kakamega County.

methodsWe analysed data captured during household registration conducted in February 2021 which embraced a question on use of health insurance cover including NHIF. The dataset consisted 148,957 household members within 32,262 households, 310 villages, and 32 community health units. The data had been collected using mobile phones by trained Community Health Volunteers (CHVs) and transmitted using the Amref electronic data management platform and reposited in a server. Data were analysed through frequency distributions and logistic regression (descriptive and causal methods) using STATA software.

resultsInsurance coverage, all providers included, in Navakholo sub-county stood at 11% among women aged 15-49 years. This is much lower than the national aggregate reported from sample surveys, but higher than the 7% found in the same survey for the region where Navakholo is situated. Social determinant variables - age, perceived condition of the household, and wealth ranking - are highly significant in the relationship with use of health insurance cover while measures of reproductive health and health vulnerability are not.

conclusionIn Navakholo sub-county of Western Kenya, all-health-insurance coverage is lower than the national aggregate estimated from sample surveys. Age, perception of household condition, and wealth ranking are very significantly related to use of a health insurance cover. Frequent household registrations should be conducted to help monitor the trends and impact of health insurance campaigns. Training - upstream and downstream - on community household registration and data processing should be conducted to arrive at better quality data.

Indexed as

Family CharacteristicsInsurance, HealthFemaleHumansInsurance CoverageKenyaNational Health ProgramsHousehold registerKenyaMobile phoneNational Health Insurance FundUniversal Health CoverageWomen of Reproductive Age

Identifiers

PMID36978061
PMCPMC10045922
OpenAlexW4361214839

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read64
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 OpenQuestion graph.