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Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya

BACKGROUND: Access to primary healthcare is crucial for the delivery of Kenya’s universal health coverage policy. However, disparities in healthcare have proved to be the biggest challenge for implementing primary care in poor-urban resource settings. In this study, we assessed the level of access t...

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Autores principales: Otieno, Peter O., Wambiya, Elvis O. A., Mohamed, Shukri M., Mutua, Martin Kavao, Kibe, Peter M., Mwangi, Bonventure, Donfouet, Hermann Pythagore Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310125/
https://www.ncbi.nlm.nih.gov/pubmed/32571277
http://dx.doi.org/10.1186/s12889-020-09106-5
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author Otieno, Peter O.
Wambiya, Elvis O. A.
Mohamed, Shukri M.
Mutua, Martin Kavao
Kibe, Peter M.
Mwangi, Bonventure
Donfouet, Hermann Pythagore Pierre
author_facet Otieno, Peter O.
Wambiya, Elvis O. A.
Mohamed, Shukri M.
Mutua, Martin Kavao
Kibe, Peter M.
Mwangi, Bonventure
Donfouet, Hermann Pythagore Pierre
author_sort Otieno, Peter O.
collection PubMed
description BACKGROUND: Access to primary healthcare is crucial for the delivery of Kenya’s universal health coverage policy. However, disparities in healthcare have proved to be the biggest challenge for implementing primary care in poor-urban resource settings. In this study, we assessed the level of access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya. METHODS: The data were drawn from the Lown scholars’ study of 300 randomly selected households in Viwandani slums (Nairobi, Kenya), between June and July 2018. Access to primary care was measured using Penchansky and Thomas’ model. Access index was constructed using principal component analysis and recorded into tertiles with categories labeled as poor, moderate, and highest. Generalized ordinal logistic regression analysis was used to determine the factors associated with access to primary care. The adjusted odds ratios (AOR) and 95% confidence intervals were used to interpret the strength of associations. RESULTS: The odds of being in the highest access tertile versus the combined categories of lowest and moderate access tertile were three times higher for males than female-headed households (AOR 3.05 [95% CI 1.47–6.37]; p < .05). Households with an average quarterly out-of-pocket healthcare expenditure of ≥USD 30 had significantly lower odds of being in the highest versus combined categories of lowest and moderate access tertile compared to those spending ≤ USD 5 (AOR 0.36 [95% CI 0.18–0.74]; p < .05). Households that sought primary care from private facilities had significantly higher odds of being in the highest versus combined categories of lowest and moderate access tertiles compared to those who sought care from public facilities (AOR 6.64 [95% CI 3.67–12.01]; p < .001). CONCLUSION: In Nairobi slums in Kenya, living in a female-headed household, seeking care from a public facility, and paying out-of-pocket for healthcare are significantly associated with low access to primary care. Therefore, the design of the UHC program in this setting should prioritize quality improvement in public health facilities and focus on policies that encourage economic empowerment of female-headed households to improve access to primary healthcare.
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spelling pubmed-73101252020-06-23 Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya Otieno, Peter O. Wambiya, Elvis O. A. Mohamed, Shukri M. Mutua, Martin Kavao Kibe, Peter M. Mwangi, Bonventure Donfouet, Hermann Pythagore Pierre BMC Public Health Research Article BACKGROUND: Access to primary healthcare is crucial for the delivery of Kenya’s universal health coverage policy. However, disparities in healthcare have proved to be the biggest challenge for implementing primary care in poor-urban resource settings. In this study, we assessed the level of access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya. METHODS: The data were drawn from the Lown scholars’ study of 300 randomly selected households in Viwandani slums (Nairobi, Kenya), between June and July 2018. Access to primary care was measured using Penchansky and Thomas’ model. Access index was constructed using principal component analysis and recorded into tertiles with categories labeled as poor, moderate, and highest. Generalized ordinal logistic regression analysis was used to determine the factors associated with access to primary care. The adjusted odds ratios (AOR) and 95% confidence intervals were used to interpret the strength of associations. RESULTS: The odds of being in the highest access tertile versus the combined categories of lowest and moderate access tertile were three times higher for males than female-headed households (AOR 3.05 [95% CI 1.47–6.37]; p < .05). Households with an average quarterly out-of-pocket healthcare expenditure of ≥USD 30 had significantly lower odds of being in the highest versus combined categories of lowest and moderate access tertile compared to those spending ≤ USD 5 (AOR 0.36 [95% CI 0.18–0.74]; p < .05). Households that sought primary care from private facilities had significantly higher odds of being in the highest versus combined categories of lowest and moderate access tertiles compared to those who sought care from public facilities (AOR 6.64 [95% CI 3.67–12.01]; p < .001). CONCLUSION: In Nairobi slums in Kenya, living in a female-headed household, seeking care from a public facility, and paying out-of-pocket for healthcare are significantly associated with low access to primary care. Therefore, the design of the UHC program in this setting should prioritize quality improvement in public health facilities and focus on policies that encourage economic empowerment of female-headed households to improve access to primary healthcare. BioMed Central 2020-06-22 /pmc/articles/PMC7310125/ /pubmed/32571277 http://dx.doi.org/10.1186/s12889-020-09106-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Otieno, Peter O.
Wambiya, Elvis O. A.
Mohamed, Shukri M.
Mutua, Martin Kavao
Kibe, Peter M.
Mwangi, Bonventure
Donfouet, Hermann Pythagore Pierre
Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya
title Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya
title_full Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya
title_fullStr Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya
title_full_unstemmed Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya
title_short Access to primary healthcare services and associated factors in urban slums in Nairobi-Kenya
title_sort access to primary healthcare services and associated factors in urban slums in nairobi-kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310125/
https://www.ncbi.nlm.nih.gov/pubmed/32571277
http://dx.doi.org/10.1186/s12889-020-09106-5
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