Evidence map›Paper›PMID 31843827›Full record

ArticleBMJ open2019

Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study.

Peter O Otieno, Elvis Omondi Achach Wambiya, Shukri F Mohamed, Hermann Pythagore Pierre Donfouet, Martin K Mutua

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

5 authors.

Peter O OtienoHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya pootienoh@gmail.com.ORCID 0000-0001-6828-8301
Elvis Omondi Achach WambiyaHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-4149-3417
Shukri F MohamedHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-8693-1943
Hermann Pythagore Pierre DonfouetHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya.
Martin K MutuaHealth and Systems for Health, African Population and Health Research Center, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prevalence of health insurance and associated factors among households in urban slum settings in Nairobi, Kenya.

designThe data for this study are from a cross-sectional survey of adults aged 18 years or older from randomly selected households in Viwandani slums (Nairobi, Kenya). Respondents participated in the Lown scholars' study conducted between June and July 2018.

settingThe Lown scholars' survey was nested in the Nairobi Urban Health and Demographic Surveillance System in Viwandani slums in Nairobi, Kenya.

participantsA total of 300 randomly sampled households participated in the survey. The study respondents comprised of either the household head, their spouses or credible adult household members. PRIMARY OUTCOME MEASURE: The primary outcome of this study was enrolment in a health insurance programme. The households were classified into two groups: those having at least one member covered by health insurance and those without any health insurance cover.

resultsThe prevalence of health insurance in the sample was 43%. Being unemployed (adjusted OR (aOR) 0.17; p<0.05; 95% CI 0.06 to 0.47) and seeking care from a public health facility (aOR 0.50; p<0.05; 95% CI 0.28 to 0.89) was significantly associated with lower odds of having a health insurance cover. The odds of having a health insurance cover were significantly lower among respondents who perceived their health status as good (aOR 0.62; p<0.05; 95% CI 1.17 to 5.66) and those who were unsatisfied with the cost of seeking primary care (aOR 0.34; p<0.05; 95% CI 0.17 to 0.69).

conclusionsHealth insurance coverage in Viwandani slums in Nairobi, Kenya, is low. As universal health coverage becomes the growing focus of Kenya's 'Big Four Agenda' for socioeconomic transformation, integrating enabling and need factors in the design of the national health insurance package may scale-up social health protection.

Indexed as

Poverty AreasAdolescentAdultAgedCommunity ParticipationCross-Sectional StudiesFamily CharacteristicsFemaleHumansInsurance, HealthKenyaMaleMedically UninsuredMiddle AgedNational Health ProgramsPatient Acceptance of Health Carehealth insurancehealth policyprimary carepublic healthuniversal health coverageurban slums

Identifiers

PMID31843827
PMCPMC6924758

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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.