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Poverty and health care demand in Kenya

BACKGROUND: There is a wide range of actions an individual could take when sick or injured such as self–care, consulting a traditional healer, or seeking treatment from a private or public health care facility. The specific action taken is influenced by individual characteristics, provider character...

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Autor principal: Awiti, Japheth Osotsi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243287/
https://www.ncbi.nlm.nih.gov/pubmed/25416417
http://dx.doi.org/10.1186/s12913-014-0560-y
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author Awiti, Japheth Osotsi
author_facet Awiti, Japheth Osotsi
author_sort Awiti, Japheth Osotsi
collection PubMed
description BACKGROUND: There is a wide range of actions an individual could take when sick or injured such as self–care, consulting a traditional healer, or seeking treatment from a private or public health care facility. The specific action taken is influenced by individual characteristics, provider characteristics, societal factors, and geographical factors. A key individual characteristic is the ability to afford the required health care. The study examines the effect of poverty on an individual’s choice of a health care provider in the event of sickness or injury in Kenya. METHODS: Using data from the Kenya Integrated Household and Budget Survey carried out between 2005 and 2006, we estimate a multinomial probit model that links an individual’s poverty status to the individual’s health care provider choice. The choices are classified as none, non-modern, and modern. The model is estimated for four age groups: infants, children aged 1 to 5 years, children aged 6 to 14 years, and adults. We control for the potential endogeneity of poverty status. RESULTS: Our results indicate that for all age groups, the predictors of poverty include large household sizes and longer distances to the nearest health facility. We further find that poverty reduces the probability of visiting a modern health care provider amongst all age groups. CONCLUSIONS: Poverty has a negative effect on the individual’s demand for modern health care services, holding other factors constant. To encourage the use of modern health care facilities, therefore, requires the pursuit of poverty–reduction strategies. Some of the ways this could be done include lowering the household sizes and reducing the average distance to modern health care facilities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-014-0560-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-42432872014-11-26 Poverty and health care demand in Kenya Awiti, Japheth Osotsi BMC Health Serv Res Research Article BACKGROUND: There is a wide range of actions an individual could take when sick or injured such as self–care, consulting a traditional healer, or seeking treatment from a private or public health care facility. The specific action taken is influenced by individual characteristics, provider characteristics, societal factors, and geographical factors. A key individual characteristic is the ability to afford the required health care. The study examines the effect of poverty on an individual’s choice of a health care provider in the event of sickness or injury in Kenya. METHODS: Using data from the Kenya Integrated Household and Budget Survey carried out between 2005 and 2006, we estimate a multinomial probit model that links an individual’s poverty status to the individual’s health care provider choice. The choices are classified as none, non-modern, and modern. The model is estimated for four age groups: infants, children aged 1 to 5 years, children aged 6 to 14 years, and adults. We control for the potential endogeneity of poverty status. RESULTS: Our results indicate that for all age groups, the predictors of poverty include large household sizes and longer distances to the nearest health facility. We further find that poverty reduces the probability of visiting a modern health care provider amongst all age groups. CONCLUSIONS: Poverty has a negative effect on the individual’s demand for modern health care services, holding other factors constant. To encourage the use of modern health care facilities, therefore, requires the pursuit of poverty–reduction strategies. Some of the ways this could be done include lowering the household sizes and reducing the average distance to modern health care facilities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-014-0560-y) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-22 /pmc/articles/PMC4243287/ /pubmed/25416417 http://dx.doi.org/10.1186/s12913-014-0560-y Text en © Awiti; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Awiti, Japheth Osotsi
Poverty and health care demand in Kenya
title Poverty and health care demand in Kenya
title_full Poverty and health care demand in Kenya
title_fullStr Poverty and health care demand in Kenya
title_full_unstemmed Poverty and health care demand in Kenya
title_short Poverty and health care demand in Kenya
title_sort poverty and health care demand in kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243287/
https://www.ncbi.nlm.nih.gov/pubmed/25416417
http://dx.doi.org/10.1186/s12913-014-0560-y
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