Cargando…

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

OBJECTIVE: To determine the prevalence of health insurance and associated factors among households in urban slum settings in Nairobi, Kenya. DESIGN: The data for this study are from a cross-sectional survey of adults aged 18 years or older from randomly selected households in Viwandani slums (Nairob...

Descripción completa

Detalles Bibliográficos
Autores principales: Otieno, Peter O, Wambiya, Elvis Omondi Achach, Mohamed, Shukri F, Donfouet, Hermann Pythagore Pierre, Mutua, Martin K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924758/
https://www.ncbi.nlm.nih.gov/pubmed/31843827
http://dx.doi.org/10.1136/bmjopen-2019-031543
_version_ 1783481782359818240
author Otieno, Peter O
Wambiya, Elvis Omondi Achach
Mohamed, Shukri F
Donfouet, Hermann Pythagore Pierre
Mutua, Martin K
author_facet Otieno, Peter O
Wambiya, Elvis Omondi Achach
Mohamed, Shukri F
Donfouet, Hermann Pythagore Pierre
Mutua, Martin K
author_sort Otieno, Peter O
collection PubMed
description OBJECTIVE: To determine the prevalence of health insurance and associated factors among households in urban slum settings in Nairobi, Kenya. DESIGN: The 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. SETTING: The Lown scholars’ survey was nested in the Nairobi Urban Health and Demographic Surveillance System in Viwandani slums in Nairobi, Kenya. PARTICIPANTS: A 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. RESULTS: The 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). CONCLUSIONS: Health 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.
format Online
Article
Text
id pubmed-6924758
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-69247582020-01-02 Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study Otieno, Peter O Wambiya, Elvis Omondi Achach Mohamed, Shukri F Donfouet, Hermann Pythagore Pierre Mutua, Martin K BMJ Open Health Policy OBJECTIVE: To determine the prevalence of health insurance and associated factors among households in urban slum settings in Nairobi, Kenya. DESIGN: The 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. SETTING: The Lown scholars’ survey was nested in the Nairobi Urban Health and Demographic Surveillance System in Viwandani slums in Nairobi, Kenya. PARTICIPANTS: A 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. RESULTS: The 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). CONCLUSIONS: Health 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. BMJ Publishing Group 2019-12-15 /pmc/articles/PMC6924758/ /pubmed/31843827 http://dx.doi.org/10.1136/bmjopen-2019-031543 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Policy
Otieno, Peter O
Wambiya, Elvis Omondi Achach
Mohamed, Shukri F
Donfouet, Hermann Pythagore Pierre
Mutua, Martin K
Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study
title Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study
title_full Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study
title_fullStr Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study
title_full_unstemmed Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study
title_short Prevalence and factors associated with health insurance coverage in resource-poor urban settings in Nairobi, Kenya: a cross-sectional study
title_sort prevalence and factors associated with health insurance coverage in resource-poor urban settings in nairobi, kenya: a cross-sectional study
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924758/
https://www.ncbi.nlm.nih.gov/pubmed/31843827
http://dx.doi.org/10.1136/bmjopen-2019-031543
work_keys_str_mv AT otienopetero prevalenceandfactorsassociatedwithhealthinsurancecoverageinresourcepoorurbansettingsinnairobikenyaacrosssectionalstudy
AT wambiyaelvisomondiachach prevalenceandfactorsassociatedwithhealthinsurancecoverageinresourcepoorurbansettingsinnairobikenyaacrosssectionalstudy
AT mohamedshukrif prevalenceandfactorsassociatedwithhealthinsurancecoverageinresourcepoorurbansettingsinnairobikenyaacrosssectionalstudy
AT donfouethermannpythagorepierre prevalenceandfactorsassociatedwithhealthinsurancecoverageinresourcepoorurbansettingsinnairobikenyaacrosssectionalstudy
AT mutuamartink prevalenceandfactorsassociatedwithhealthinsurancecoverageinresourcepoorurbansettingsinnairobikenyaacrosssectionalstudy