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Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria
BACKGROUND: The highest risk of maternal and perinatal deaths occurs during and shortly after childbirth and is preventable if functional referral systems enable women to reach appropriate health services when obstetric complications occur. Rising numbers of deliveries in health facilities, includin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420846/ https://www.ncbi.nlm.nih.gov/pubmed/34488752 http://dx.doi.org/10.1186/s12913-021-06945-9 |
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author | Radovich, Emma Banke-Thomas, Aduragbemi Campbell, Oona M. R. Ezeanochie, Michael Gwacham-Anisiobi, Uchenna Ande, Adedapo B. A. Benova, Lenka |
author_facet | Radovich, Emma Banke-Thomas, Aduragbemi Campbell, Oona M. R. Ezeanochie, Michael Gwacham-Anisiobi, Uchenna Ande, Adedapo B. A. Benova, Lenka |
author_sort | Radovich, Emma |
collection | PubMed |
description | BACKGROUND: The highest risk of maternal and perinatal deaths occurs during and shortly after childbirth and is preventable if functional referral systems enable women to reach appropriate health services when obstetric complications occur. Rising numbers of deliveries in health facilities, including in high mortality settings like Nigeria, require formalised coordination across the health system to ensure that women and newborns get to the right level of care, at the right time. This study describes and critically assesses the extent to which referral and its components can be captured using three different data sources from Nigeria, examining issues of data quality, validity, and usefulness for improving and monitoring obstetric care systems. METHODS: The study included three data sources on referral for childbirth care in Nigeria: a nationally representative household survey, patient records from multiple facilities in a state, and patient records from the apex referral facility in a city. We conducted descriptive analyses of the extent to which referral status and components were captured across the three sources. We also iteratively developed a visual conceptual framework to guide our critical comparative analysis. RESULTS: We found large differences in the proportion of women referred, and this reflected the different denominators and timings of the referral in each data source. Between 16 and 34% of referrals in the three sources originated in government hospitals, and lateral referrals (origin and destination facility of the same level) were observed in all three data sources. We found large gaps in the coverage of key components of referral as well as data gaps where this information was not routinely captured in facility-based sources. CONCLUSIONS: Our analyses illustrated different perspectives from the national- to facility-level in the capture of the extent and components of obstetric referral. By triangulating across multiple data sources, we revealed the strengths and gaps within each approach in building a more complete picture of obstetric referral. We see our visual framework as assisting further research efforts to ensure all referral pathways are captured in order to better monitor and improve referral systems for women and newborns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06945-9. |
format | Online Article Text |
id | pubmed-8420846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84208462021-09-07 Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria Radovich, Emma Banke-Thomas, Aduragbemi Campbell, Oona M. R. Ezeanochie, Michael Gwacham-Anisiobi, Uchenna Ande, Adedapo B. A. Benova, Lenka BMC Health Serv Res Research BACKGROUND: The highest risk of maternal and perinatal deaths occurs during and shortly after childbirth and is preventable if functional referral systems enable women to reach appropriate health services when obstetric complications occur. Rising numbers of deliveries in health facilities, including in high mortality settings like Nigeria, require formalised coordination across the health system to ensure that women and newborns get to the right level of care, at the right time. This study describes and critically assesses the extent to which referral and its components can be captured using three different data sources from Nigeria, examining issues of data quality, validity, and usefulness for improving and monitoring obstetric care systems. METHODS: The study included three data sources on referral for childbirth care in Nigeria: a nationally representative household survey, patient records from multiple facilities in a state, and patient records from the apex referral facility in a city. We conducted descriptive analyses of the extent to which referral status and components were captured across the three sources. We also iteratively developed a visual conceptual framework to guide our critical comparative analysis. RESULTS: We found large differences in the proportion of women referred, and this reflected the different denominators and timings of the referral in each data source. Between 16 and 34% of referrals in the three sources originated in government hospitals, and lateral referrals (origin and destination facility of the same level) were observed in all three data sources. We found large gaps in the coverage of key components of referral as well as data gaps where this information was not routinely captured in facility-based sources. CONCLUSIONS: Our analyses illustrated different perspectives from the national- to facility-level in the capture of the extent and components of obstetric referral. By triangulating across multiple data sources, we revealed the strengths and gaps within each approach in building a more complete picture of obstetric referral. We see our visual framework as assisting further research efforts to ensure all referral pathways are captured in order to better monitor and improve referral systems for women and newborns. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06945-9. BioMed Central 2021-09-06 /pmc/articles/PMC8420846/ /pubmed/34488752 http://dx.doi.org/10.1186/s12913-021-06945-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Radovich, Emma Banke-Thomas, Aduragbemi Campbell, Oona M. R. Ezeanochie, Michael Gwacham-Anisiobi, Uchenna Ande, Adedapo B. A. Benova, Lenka Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria |
title | Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria |
title_full | Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria |
title_fullStr | Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria |
title_full_unstemmed | Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria |
title_short | Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria |
title_sort | critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from nigeria |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420846/ https://www.ncbi.nlm.nih.gov/pubmed/34488752 http://dx.doi.org/10.1186/s12913-021-06945-9 |
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