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Utilization of breast cancer screening in Kenya: what are the determinants?

BACKGROUND: Breast cancer accounts for 23% of all cancer cases among women in Kenya. Although breast cancer screening is important, we know little about the factors associated with women’s breast cancer screening utilization in Kenya. Using the Andersen’s behavioural model of health care utilization...

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Autores principales: Antabe, Roger, Kansanga, Moses, Sano, Yujiro, Kyeremeh, Emmanuel, Galaa, Yvonne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079358/
https://www.ncbi.nlm.nih.gov/pubmed/32183801
http://dx.doi.org/10.1186/s12913-020-5073-2
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author Antabe, Roger
Kansanga, Moses
Sano, Yujiro
Kyeremeh, Emmanuel
Galaa, Yvonne
author_facet Antabe, Roger
Kansanga, Moses
Sano, Yujiro
Kyeremeh, Emmanuel
Galaa, Yvonne
author_sort Antabe, Roger
collection PubMed
description BACKGROUND: Breast cancer accounts for 23% of all cancer cases among women in Kenya. Although breast cancer screening is important, we know little about the factors associated with women’s breast cancer screening utilization in Kenya. Using the Andersen’s behavioural model of health care utilization, we aim to address this void in the literature. METHODS: We draw data on the Kenya Demographic and Health Survey and employ univariate, bivariate, and multivariate analyses. RESULTS: We find that women’s geographic location, specifically, living in a rural area (OR = 0.89; p < 0.001) and the North Eastern Province is associated with lower odds of women being screened for breast cancer. Moreover, compared to the more educated, richer and insured, women who are less educated, poorer, and uninsured (OR = 0.74; p < 0.001) are less likely to have been screened for breast cancer. CONCLUSION: Based on these findings, we recommend place and group-specific education and interventions on increasing breast cancer screening in Kenya.
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spelling pubmed-70793582020-03-23 Utilization of breast cancer screening in Kenya: what are the determinants? Antabe, Roger Kansanga, Moses Sano, Yujiro Kyeremeh, Emmanuel Galaa, Yvonne BMC Health Serv Res Research Article BACKGROUND: Breast cancer accounts for 23% of all cancer cases among women in Kenya. Although breast cancer screening is important, we know little about the factors associated with women’s breast cancer screening utilization in Kenya. Using the Andersen’s behavioural model of health care utilization, we aim to address this void in the literature. METHODS: We draw data on the Kenya Demographic and Health Survey and employ univariate, bivariate, and multivariate analyses. RESULTS: We find that women’s geographic location, specifically, living in a rural area (OR = 0.89; p < 0.001) and the North Eastern Province is associated with lower odds of women being screened for breast cancer. Moreover, compared to the more educated, richer and insured, women who are less educated, poorer, and uninsured (OR = 0.74; p < 0.001) are less likely to have been screened for breast cancer. CONCLUSION: Based on these findings, we recommend place and group-specific education and interventions on increasing breast cancer screening in Kenya. BioMed Central 2020-03-18 /pmc/articles/PMC7079358/ /pubmed/32183801 http://dx.doi.org/10.1186/s12913-020-5073-2 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
Antabe, Roger
Kansanga, Moses
Sano, Yujiro
Kyeremeh, Emmanuel
Galaa, Yvonne
Utilization of breast cancer screening in Kenya: what are the determinants?
title Utilization of breast cancer screening in Kenya: what are the determinants?
title_full Utilization of breast cancer screening in Kenya: what are the determinants?
title_fullStr Utilization of breast cancer screening in Kenya: what are the determinants?
title_full_unstemmed Utilization of breast cancer screening in Kenya: what are the determinants?
title_short Utilization of breast cancer screening in Kenya: what are the determinants?
title_sort utilization of breast cancer screening in kenya: what are the determinants?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079358/
https://www.ncbi.nlm.nih.gov/pubmed/32183801
http://dx.doi.org/10.1186/s12913-020-5073-2
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