Evidence map›Paper›PMID 39593027›Full record

ArticleBMC public health2024

Effect of households' members disability and serious illness on public health insurance subscription among urban refugees during the COVID-19 pandemic in Kenya.

Abayomi Samuel Oyekale, Thonaeng Charity Molelekoa

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Abayomi Samuel OyekaleDepartment of Agricultural Economics and Extension, North-West University Mafikeng Campus, Mmabatho, 2735, South Africa.
Thonaeng Charity MolelekoaDepartment of Agricultural Economics and Extension, North-West University Mafikeng Campus, Mmabatho, 2735, South Africa. thonamolex@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adverse selection theory speculates a high level of demand for health insurance by people with vulnerable health conditions. However, the COVID-19 pandemic changed the prevailing narratives and pattern of healthcare utilization in many African countries. This study estimated the effects of household member's disability and presence of serious illness on the probability of National Hospital Insurance Fund (NHIF) subscription with the average treatment effect (ATE) and average treatment effect on the treated (ATET).

methodsThe data were collected telephonically in 2020 using the sampling frame of the United Nations High Commission on Refugees (UNHCR). The respondents were refugees with active phone numbers who were registered by the UNHCR in Nairobi, Mombasa and Nakuru cities. A total of 2,438 completed the surveys. The data were analysed with Treatment Effects Probit regression model using the regression adjustment estimator.

resultsThe results showed that 24.89% of the respondents had health insurance. Also, 3.28%, 1.39% and 2.46%, respectively suffered from physical, cognitive and sensory disability, while 8.28% had some form of serious illness. The Probit regression results showed that probability of being health insured significantly increased (p < 0.05) with membership of community-based organizations (CBO), asset index, possession of bank savings account, residence in Nairobi and household size, while residence in Nakuru reduced it. The ATE for physical and cognitive disabilities were significant (p < 0.05) with 0.1100 and 0.1816, respectively, while that for serious illness was 0.1046 (p < 0.01). The ATET for physical disability and serious illness were also significant (p < 0.05) with 0.1251 and 0.0996, respectively.

conclusionIt was concluded that efforts to facilitate NHIF subscriptions among the refugees should be channelled among people with disability and serious illness. In addition, there is the need to promote refugees' welfare through employment that can induce formal savings and promote less reliance on informal borrowing. The operational mechanisms and differences in healthcare service distribution between the three cities should be considered along some salient interventions for health insurance subscription that are channelled through some CBOs.

Indexed as

COVID-19Persons with DisabilitiesRefugeesAdolescentAdultFamily CharacteristicsFemaleHumansInsurance, HealthKenyaMaleMiddle AgedPandemicsUrban PopulationYoung AdultAdverse selectionCOVID-19DisabilityHealth insuranceRefugeesSerious illnessUrban Kenya

Identifiers

PMID39593027
PMCPMC11590370

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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.