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Probability and amount of medicines expenditure according to health insurance status in Kenya: A household survey in eight counties.
Wirtz, Veronika J; Servan-Mori, Edson; Mungai, John; Mboya, John; Rockers, Peter C; Onyango, Monica A; Kiragu, Zana Wangari; Laing, Richard.
Afiliación
  • Wirtz VJ; Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Servan-Mori E; Center for Health Systems Research, National Institute of Public Health, Cuernavaca, Mexico.
  • Mungai J; Innovation for Poverty Action, Nairobi, Kenya.
  • Mboya J; Innovation for Poverty Action, Nairobi, Kenya.
  • Rockers PC; Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Onyango MA; Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Kiragu ZW; Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
  • Laing R; Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Int J Health Plann Manage ; 37(2): 725-733, 2022 Mar.
Article en En | MEDLINE | ID: mdl-34674309
ABSTRACT

BACKGROUND:

National and county governments in Kenya have introduced various health insurance schemes to protect households against financial hardship as a result of large health expenditure. This study examines the relationship between health insurance and medicine expenditure in eight counties in Kenya.

METHODS:

A cross-sectional study of collected primary data via household survey in eight counties was performed. Three measures of medicine expenditure were analysed the probability of any out-of-pocket expenditure (OOPE) on medicines in the last 4 weeks; amount of OOPE on medicines; and OOPE on medicines as a proportion of total OOPE on health.

RESULTS:

Out of the 452 individuals, those with health insurance (n = 225) were significantly different from individuals without health insurance (n = 227) overall, they were older, had a higher level of educational attainment and possessed more assets. Adjusting for covariates, individuals with health insurance had a reduced probability of OOPE on medicines (0.40, CI95% 0.197-0.827) and spent proportionally less on medicines out of total health expenditure (0.50, CI95% 0.301-0.926).

CONCLUSIONS:

Kenya has made great strides to scale up Universal Health Coverage including access to medicines. Prioritising enrollment of low-income individuals with non-communicable diseases can accelerate access to medicines and financial protection.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Gastos en Salud / Seguro de Salud Tipo de estudio: Health_economic_evaluation / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Int J Health Plann Manage Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Gastos en Salud / Seguro de Salud Tipo de estudio: Health_economic_evaluation / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Int J Health Plann Manage Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos