Cargando…
A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh
The objective of this study was to investigate the effects of health facility-level factors, including the availability of long-acting modern contraceptives (LAMC) at the nearest health facility and its distance from women’s homes, on the occurrence of unintended pregnancy that resulted in a live bi...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452522/ https://www.ncbi.nlm.nih.gov/pubmed/36071170 http://dx.doi.org/10.1038/s41598-022-19559-w |
_version_ | 1784784927896633344 |
---|---|
author | Khan, Md. Nuruzzaman Harris, Melissa L. Huda, Md. Nazmul Loxton, Deborah |
author_facet | Khan, Md. Nuruzzaman Harris, Melissa L. Huda, Md. Nazmul Loxton, Deborah |
author_sort | Khan, Md. Nuruzzaman |
collection | PubMed |
description | The objective of this study was to investigate the effects of health facility-level factors, including the availability of long-acting modern contraceptives (LAMC) at the nearest health facility and its distance from women’s homes, on the occurrence of unintended pregnancy that resulted in a live birth. We analysed the 2017/18 Bangladesh Demographic and Health Survey data linked with the 2017 Bangladesh Health Facility Survey. The weighted sample comprised 5051 women of reproductive age, who had at least one live birth within 3 years of the survey. The outcome variable was women’s intention to conceive at their most recent pregnancy that ended with a live birth. The major explanatory variables were the health facility level factors. A multi-level multinomial logistic regression model was used to assess the association of the outcome variable with explanatory variables adjusting for individual, household, and community-level factors. Nearly 21% of the total respondents reported that their most recent live birth was unintended at conception. Better health facility management systems and health facility infrastructure were found to be 14–30% protective of unintended pregnancy that resulted in a live birth. LAMC availability at the nearest health facility was associated with a 31% reduction (95% CI 0.50–0.92) in the likelihood of an unwanted pregnancy that resulted in a live birth. Health facility readiness to provide LAMC was also associated with a 14–16% reduction in unintended pregnancies that ended with a birth. The likelihood of unintended pregnancy that resulted in a live birth increased around 20–22% with the increased distance of the nearest health facility providing LAMC from the women’s homes.The availability of health facilities near women’s homes and access to LAMC can significantly reduce unintended pregnancy. Policies and programs to ensure access and affordability of LAMC across current health facilities and to increase the number of health facilities are recommended. |
format | Online Article Text |
id | pubmed-9452522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94525222022-09-09 A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh Khan, Md. Nuruzzaman Harris, Melissa L. Huda, Md. Nazmul Loxton, Deborah Sci Rep Article The objective of this study was to investigate the effects of health facility-level factors, including the availability of long-acting modern contraceptives (LAMC) at the nearest health facility and its distance from women’s homes, on the occurrence of unintended pregnancy that resulted in a live birth. We analysed the 2017/18 Bangladesh Demographic and Health Survey data linked with the 2017 Bangladesh Health Facility Survey. The weighted sample comprised 5051 women of reproductive age, who had at least one live birth within 3 years of the survey. The outcome variable was women’s intention to conceive at their most recent pregnancy that ended with a live birth. The major explanatory variables were the health facility level factors. A multi-level multinomial logistic regression model was used to assess the association of the outcome variable with explanatory variables adjusting for individual, household, and community-level factors. Nearly 21% of the total respondents reported that their most recent live birth was unintended at conception. Better health facility management systems and health facility infrastructure were found to be 14–30% protective of unintended pregnancy that resulted in a live birth. LAMC availability at the nearest health facility was associated with a 31% reduction (95% CI 0.50–0.92) in the likelihood of an unwanted pregnancy that resulted in a live birth. Health facility readiness to provide LAMC was also associated with a 14–16% reduction in unintended pregnancies that ended with a birth. The likelihood of unintended pregnancy that resulted in a live birth increased around 20–22% with the increased distance of the nearest health facility providing LAMC from the women’s homes.The availability of health facilities near women’s homes and access to LAMC can significantly reduce unintended pregnancy. Policies and programs to ensure access and affordability of LAMC across current health facilities and to increase the number of health facilities are recommended. Nature Publishing Group UK 2022-09-07 /pmc/articles/PMC9452522/ /pubmed/36071170 http://dx.doi.org/10.1038/s41598-022-19559-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Khan, Md. Nuruzzaman Harris, Melissa L. Huda, Md. Nazmul Loxton, Deborah A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh |
title | A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh |
title_full | A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh |
title_fullStr | A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh |
title_full_unstemmed | A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh |
title_short | A population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in Bangladesh |
title_sort | population-level data linkage study to explore the association between health facility level factors and unintended pregnancy in bangladesh |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452522/ https://www.ncbi.nlm.nih.gov/pubmed/36071170 http://dx.doi.org/10.1038/s41598-022-19559-w |
work_keys_str_mv | AT khanmdnuruzzaman apopulationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT harrismelissal apopulationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT hudamdnazmul apopulationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT loxtondeborah apopulationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT khanmdnuruzzaman populationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT harrismelissal populationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT hudamdnazmul populationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh AT loxtondeborah populationleveldatalinkagestudytoexploretheassociationbetweenhealthfacilitylevelfactorsandunintendedpregnancyinbangladesh |