Evidence map›Paper›PMID 28627085›Full record

ArticleTropical medicine & international health : TM & IH2017

Examining levels, distribution and correlates of health insurance coverage in Kenya.

Jacob S Kazungu, Edwine W Barasa

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
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59citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. The Global Burden of Sepsis and Septic Shock.Epidemiologia (Basel, Switzerland) · 2024
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  18. Are outpatient costs for hypertension and diabetes care affordable? Evidence from Western Kenya.African journal of primary health care & family medicine · 2023
    Article
  19. Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jacob S KazunguHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya.
Edwine W BarasaHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo examine the levels, inequalities and factors associated with health insurance coverage in Kenya.

methodsWe analysed secondary data from the Kenya Demographic and Health Survey (KDHS) conducted in 2009 and 2014. We examined the level of health insurance coverage overall, and by type, using an asset index to categorise households into five socio-economic quintiles with quintile 5 (Q5) being the richest and quintile 1 (Q1) being the poorest. The high-low ratio (Q5/Q1 ratio), concentration curve and concentration index (CIX) were employed to assess inequalities in health insurance coverage, and logistic regression to examine correlates of health insurance coverage.

resultsOverall health insurance coverage increased from 8.17% to 19.59% between 2009 and 2014. There was high inequality in overall health insurance coverage, even though this inequality decreased between 2009 (Q5/Q1 ratio of 31.21, CIX = 0.61, 95% CI 0.52-0.0.71) and 2014 (Q5/Q1 ratio 12.34, CIX = 0.49, 95% CI 0.45-0.52). Individuals that were older, employed in the formal sector; married, exposed to media; and male, belonged to a small household, had a chronic disease and belonged to rich households, had increased odds of health insurance coverage.

conclusionHealth insurance coverage in Kenya remains low and is characterised by significant inequality. In a context where over 80% of the population is in the informal sector, and close to 50% live below the national poverty line, achieving high and equitable coverage levels with contributory and voluntary health insurance mechanism is problematic. Kenya should consider a universal, tax-funded mechanism that ensures revenues are equitably and efficiently collected, and everyone (including the poor and those in the informal sector) is covered.

Indexed as

Healthcare DisparitiesHealth EquityInsurance CoverageInsurance, HealthPovertyAdolescentAdultFamily CharacteristicsFemaleHealth SurveysHumansKenyaLogistic ModelsMaleMiddle AgedSocioeconomic Factorsassurance santéfinancement de la santéfinanciación de saludhealth financinghealth insuranceinégalitésinequalitiesinequidadesKeniaKenyaseguro de salud

Identifiers

PMID28627085
PMCPMC5599961

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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.