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Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data
BACKGROUND: Public health literature is replete with evidence on individual and interpersonal indicators of modern contraceptive use. There is, however, limited knowledge regarding healthcare system indicators of modern contraceptive use. This study assessed how the healthcare system influences use...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814992/ https://www.ncbi.nlm.nih.gov/pubmed/31655615 http://dx.doi.org/10.1186/s12978-019-0816-4 |
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author | Asaolu, Ibitola Nuño, Velia Leybas Ernst, Kacey Taren, Douglas Ehiri, John |
author_facet | Asaolu, Ibitola Nuño, Velia Leybas Ernst, Kacey Taren, Douglas Ehiri, John |
author_sort | Asaolu, Ibitola |
collection | PubMed |
description | BACKGROUND: Public health literature is replete with evidence on individual and interpersonal indicators of modern contraceptive use. There is, however, limited knowledge regarding healthcare system indicators of modern contraceptive use. This study assessed how the healthcare system influences use of modern contraceptive among women in Ghana, Kenya, and two large population states in Nigeria. METHODS: This study used data from Phase 1 of the Performance Monitoring and Accountability 2020. The analytical sample was limited to women with a need for contraception, defined as women of reproductive age (15 to 49 years) who wish to delay or limit childbirth. Therefore, this analysis consisted of 1066, 1285, and 1955 women from Nigeria, Ghana, and Kenya respectively. Indicators of healthcare assessed include user-fees, visit by health worker, type of health facility, multiple perinatal services, adolescent reproductive healthcare, density of healthcare workers, and regularity of contraceptive services. All analyses were conducted with SAS (9.4), with statistical significance set at p < 5%. RESULTS: The prevalence of modern contraceptive was 22.7, 33.2, and 68.9% in Nigeria, Ghana, and Kenya respectively. The odds of modern contraceptive use were higher among Nigerian women who lived within areas that provide adolescent reproductive healthcare (OR = 2.05; 95% C.I. = 1.05—3.99) and Kenyan women residing in locales with polyclinic or hospitals (OR = 1.91; 1.27—2.88). Also, the odds of contraceptive use were higher among Kenyan women who lived in areas with user-fee for contraceptive services (OR = 1.40; 1.07–1.85), but lower among Ghanaian women residing in such areas (OR = 0.46; 0.23—0.92). Lastly, the odds of modern contraceptive use were higher among women visited by a health-worker visit among women in Ghana (OR = 1.63; 1.11—2.42) and Nigeria (OR = 2.97; 1.56—5.67) than those without a visit. CONCLUSION: This study found an association between country-specific indicators of healthcare and modern contraceptive use. Evidence from this study can inform policy makers, health workers, and healthcare organizations on specific healthcare factors to target in meeting the need for contraception in Ghana, Kenya, and Nigeria. |
format | Online Article Text |
id | pubmed-6814992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68149922019-10-31 Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data Asaolu, Ibitola Nuño, Velia Leybas Ernst, Kacey Taren, Douglas Ehiri, John Reprod Health Research BACKGROUND: Public health literature is replete with evidence on individual and interpersonal indicators of modern contraceptive use. There is, however, limited knowledge regarding healthcare system indicators of modern contraceptive use. This study assessed how the healthcare system influences use of modern contraceptive among women in Ghana, Kenya, and two large population states in Nigeria. METHODS: This study used data from Phase 1 of the Performance Monitoring and Accountability 2020. The analytical sample was limited to women with a need for contraception, defined as women of reproductive age (15 to 49 years) who wish to delay or limit childbirth. Therefore, this analysis consisted of 1066, 1285, and 1955 women from Nigeria, Ghana, and Kenya respectively. Indicators of healthcare assessed include user-fees, visit by health worker, type of health facility, multiple perinatal services, adolescent reproductive healthcare, density of healthcare workers, and regularity of contraceptive services. All analyses were conducted with SAS (9.4), with statistical significance set at p < 5%. RESULTS: The prevalence of modern contraceptive was 22.7, 33.2, and 68.9% in Nigeria, Ghana, and Kenya respectively. The odds of modern contraceptive use were higher among Nigerian women who lived within areas that provide adolescent reproductive healthcare (OR = 2.05; 95% C.I. = 1.05—3.99) and Kenyan women residing in locales with polyclinic or hospitals (OR = 1.91; 1.27—2.88). Also, the odds of contraceptive use were higher among Kenyan women who lived in areas with user-fee for contraceptive services (OR = 1.40; 1.07–1.85), but lower among Ghanaian women residing in such areas (OR = 0.46; 0.23—0.92). Lastly, the odds of modern contraceptive use were higher among women visited by a health-worker visit among women in Ghana (OR = 1.63; 1.11—2.42) and Nigeria (OR = 2.97; 1.56—5.67) than those without a visit. CONCLUSION: This study found an association between country-specific indicators of healthcare and modern contraceptive use. Evidence from this study can inform policy makers, health workers, and healthcare organizations on specific healthcare factors to target in meeting the need for contraception in Ghana, Kenya, and Nigeria. BioMed Central 2019-10-26 /pmc/articles/PMC6814992/ /pubmed/31655615 http://dx.doi.org/10.1186/s12978-019-0816-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Asaolu, Ibitola Nuño, Velia Leybas Ernst, Kacey Taren, Douglas Ehiri, John Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data |
title | Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data |
title_full | Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data |
title_fullStr | Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data |
title_full_unstemmed | Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data |
title_short | Healthcare system indicators associated with modern contraceptive use in Ghana, Kenya, and Nigeria: evidence from the Performance Monitoring and Accountability 2020 data |
title_sort | healthcare system indicators associated with modern contraceptive use in ghana, kenya, and nigeria: evidence from the performance monitoring and accountability 2020 data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814992/ https://www.ncbi.nlm.nih.gov/pubmed/31655615 http://dx.doi.org/10.1186/s12978-019-0816-4 |
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