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What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India
BACKGROUND: Low rates of caesarean delivery (CD) (<10%) hinder access to a lifesaving procedure for the most vulnerable populations in low-resource settings, but there is a paucity of data regarding which factors contribute most to CD rates. OBJECTIVES: We aimed to determine caesarean delivery ra...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158535/ https://www.ncbi.nlm.nih.gov/pubmed/37133240 http://dx.doi.org/10.1080/16549716.2023.2202465 |
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author | Pendleton, Anna Alaska Dutta, Rohini Shukla, Minal Jayaram, Anusha Gadgil, Anita Hembram, Sasmita Roy, Nobhojit Raykar, Nakul P. |
author_facet | Pendleton, Anna Alaska Dutta, Rohini Shukla, Minal Jayaram, Anusha Gadgil, Anita Hembram, Sasmita Roy, Nobhojit Raykar, Nakul P. |
author_sort | Pendleton, Anna Alaska |
collection | PubMed |
description | BACKGROUND: Low rates of caesarean delivery (CD) (<10%) hinder access to a lifesaving procedure for the most vulnerable populations in low-resource settings, but there is a paucity of data regarding which factors contribute most to CD rates. OBJECTIVES: We aimed to determine caesarean delivery rates at Bihar’s first referral units (FRUs) stratified by facility level (regional, sub-district, district). The secondary aim was to identify facility-level factors associated with caesarean delivery rates. METHODS: This cross-sectional study used open-source national datasets from government FRUs in Bihar, India, from April 2018–March 2019. Multivariate Poisson regression analysed association of infrastructure and workforce factors with CD rates. RESULTS: Of 546,444 deliveries conducted at 149 FRUs, 16961 were CDs, yielding a state-wide FRU CD of 3.1%. There were 67 (45%) regional hospitals, 45 (30%) sub-district hospitals, and 37 (25%) district hospitals. Sixty-one percent of FRUs qualified as having intact infrastructure, 84% had a functioning operating room, but only 7% were LaQshya (Labour Room Quality Improvement Initiative) certified. Considering workforce, 58% had an obstetrician-gynaecologist (range 0–10), 39% had an anaesthetist (range 0–5), and 35% had a provider trained in Emergency Obstetric Care (EmOC) (range 0–4) through a task-sharing initiative. The majority of regional hospitals lack the essential workforce and infrastructure to perform CDs. Multivariate regression including all FRUs performing deliveries demonstrated that presence of a functioning operating room (IRR = 21.0, 95%CI 7.9–55.8, p < 0.001) and the number of obstetrician-gynaecologists (IRR = 1.3, 95%CI 1.1–1.4, p = 0.001) and EmOCs (IRR = 1.6, 95%CI 1.3–1.9, p < 0.001) were associated with facility-level CD rates. CONCLUSION: Only 3.1% of the institutional childbirths in Bihar’s FRUs were by CD. The presence of a functional operating room, obstetrician, and task-sharing provider (EmOC) was strongly associated with CD. These factors may represent initial investment priorities for scaling up CD rates in Bihar. |
format | Online Article Text |
id | pubmed-10158535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-101585352023-05-05 What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India Pendleton, Anna Alaska Dutta, Rohini Shukla, Minal Jayaram, Anusha Gadgil, Anita Hembram, Sasmita Roy, Nobhojit Raykar, Nakul P. Glob Health Action Research Article BACKGROUND: Low rates of caesarean delivery (CD) (<10%) hinder access to a lifesaving procedure for the most vulnerable populations in low-resource settings, but there is a paucity of data regarding which factors contribute most to CD rates. OBJECTIVES: We aimed to determine caesarean delivery rates at Bihar’s first referral units (FRUs) stratified by facility level (regional, sub-district, district). The secondary aim was to identify facility-level factors associated with caesarean delivery rates. METHODS: This cross-sectional study used open-source national datasets from government FRUs in Bihar, India, from April 2018–March 2019. Multivariate Poisson regression analysed association of infrastructure and workforce factors with CD rates. RESULTS: Of 546,444 deliveries conducted at 149 FRUs, 16961 were CDs, yielding a state-wide FRU CD of 3.1%. There were 67 (45%) regional hospitals, 45 (30%) sub-district hospitals, and 37 (25%) district hospitals. Sixty-one percent of FRUs qualified as having intact infrastructure, 84% had a functioning operating room, but only 7% were LaQshya (Labour Room Quality Improvement Initiative) certified. Considering workforce, 58% had an obstetrician-gynaecologist (range 0–10), 39% had an anaesthetist (range 0–5), and 35% had a provider trained in Emergency Obstetric Care (EmOC) (range 0–4) through a task-sharing initiative. The majority of regional hospitals lack the essential workforce and infrastructure to perform CDs. Multivariate regression including all FRUs performing deliveries demonstrated that presence of a functioning operating room (IRR = 21.0, 95%CI 7.9–55.8, p < 0.001) and the number of obstetrician-gynaecologists (IRR = 1.3, 95%CI 1.1–1.4, p = 0.001) and EmOCs (IRR = 1.6, 95%CI 1.3–1.9, p < 0.001) were associated with facility-level CD rates. CONCLUSION: Only 3.1% of the institutional childbirths in Bihar’s FRUs were by CD. The presence of a functional operating room, obstetrician, and task-sharing provider (EmOC) was strongly associated with CD. These factors may represent initial investment priorities for scaling up CD rates in Bihar. Taylor & Francis 2023-05-03 /pmc/articles/PMC10158535/ /pubmed/37133240 http://dx.doi.org/10.1080/16549716.2023.2202465 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Research Article Pendleton, Anna Alaska Dutta, Rohini Shukla, Minal Jayaram, Anusha Gadgil, Anita Hembram, Sasmita Roy, Nobhojit Raykar, Nakul P. What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India |
title | What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India |
title_full | What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India |
title_fullStr | What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India |
title_full_unstemmed | What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India |
title_short | What to scale first? A cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in Bihar, India |
title_sort | what to scale first? a cross-sectional analysis of factors affecting cesarean delivery rates at first referral units in bihar, india |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158535/ https://www.ncbi.nlm.nih.gov/pubmed/37133240 http://dx.doi.org/10.1080/16549716.2023.2202465 |
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