Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi
Abstract Background Malawi implemented a Results Based Financing (RBF) model for Maternal and Newborn Health, “RBF4MNH” at public hospitals in four Districts, with the aim of improving health outcomes. We used this context to seek evidence for the impact of this intervention on rates of antepartum a...
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doaj-f18987350889436d9bcee24a2589f5552021-06-06T11:19:25ZengBMCBMC Pregnancy and Childbirth1471-23932021-06-012111710.1186/s12884-021-03867-6Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in MalawiRegina Makuluni0William Stones1College of Medicine, The University of MalawiCenter for Reproductive health, College of Medicine, The University of MalawiAbstract Background Malawi implemented a Results Based Financing (RBF) model for Maternal and Newborn Health, “RBF4MNH” at public hospitals in four Districts, with the aim of improving health outcomes. We used this context to seek evidence for the impact of this intervention on rates of antepartum and intrapartum stillbirth, taking women’s risk factors into account. Methods We used maternity unit delivery registers at hospitals in four districts of Malawi to obtain information about stillbirths. We purposively selected two districts hosting the RBF4MNH intervention and two non-intervention districts for comparison. Data were extracted from the maternity registers and used to develop logistic regression models for variables associated with fresh and macerated stillbirth. Results We identified 67 stillbirths among 2772 deliveries representing 24.1 per 1000 live births of which 52% (n = 35) were fresh (intrapartum) stillbirths and 48% (n = 32) were macerated (antepartum) losses. Adjusted odds ratios (aOR) for fresh and macerated stillbirth at RBF versus non-RBF sites were 2.67 (95%CI 1.24 to 5.57, P = 0.01) and 7.27 (95%CI 2.74 to 19.25 P < 0.001) respectively. Among the risk factors examined, gestational age at delivery was significantly associated with increased odds of stillbirth. Conclusion The study did not identify a positive impact of this RBF model on the risk of fresh or macerated stillbirth. Within the scientific limitations of this non-randomised study using routinely collected health service data, the findings point to a need for rigorously designed and tested interventions to strengthen service delivery with a focus on the elements needed to ensure quality of intrapartum care, in order to reduce the burden of stillbirths.https://doi.org/10.1186/s12884-021-03867-6 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Regina Makuluni William Stones |
spellingShingle |
Regina Makuluni William Stones Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi BMC Pregnancy and Childbirth |
author_facet |
Regina Makuluni William Stones |
author_sort |
Regina Makuluni |
title |
Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi |
title_short |
Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi |
title_full |
Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi |
title_fullStr |
Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi |
title_full_unstemmed |
Impact of a maternal and newborn health results-based financing intervention (RBF4MNH) on stillbirth: a cross-sectional comparison in four districts in Malawi |
title_sort |
impact of a maternal and newborn health results-based financing intervention (rbf4mnh) on stillbirth: a cross-sectional comparison in four districts in malawi |
publisher |
BMC |
series |
BMC Pregnancy and Childbirth |
issn |
1471-2393 |
publishDate |
2021-06-01 |
description |
Abstract Background Malawi implemented a Results Based Financing (RBF) model for Maternal and Newborn Health, “RBF4MNH” at public hospitals in four Districts, with the aim of improving health outcomes. We used this context to seek evidence for the impact of this intervention on rates of antepartum and intrapartum stillbirth, taking women’s risk factors into account. Methods We used maternity unit delivery registers at hospitals in four districts of Malawi to obtain information about stillbirths. We purposively selected two districts hosting the RBF4MNH intervention and two non-intervention districts for comparison. Data were extracted from the maternity registers and used to develop logistic regression models for variables associated with fresh and macerated stillbirth. Results We identified 67 stillbirths among 2772 deliveries representing 24.1 per 1000 live births of which 52% (n = 35) were fresh (intrapartum) stillbirths and 48% (n = 32) were macerated (antepartum) losses. Adjusted odds ratios (aOR) for fresh and macerated stillbirth at RBF versus non-RBF sites were 2.67 (95%CI 1.24 to 5.57, P = 0.01) and 7.27 (95%CI 2.74 to 19.25 P < 0.001) respectively. Among the risk factors examined, gestational age at delivery was significantly associated with increased odds of stillbirth. Conclusion The study did not identify a positive impact of this RBF model on the risk of fresh or macerated stillbirth. Within the scientific limitations of this non-randomised study using routinely collected health service data, the findings point to a need for rigorously designed and tested interventions to strengthen service delivery with a focus on the elements needed to ensure quality of intrapartum care, in order to reduce the burden of stillbirths. |
url |
https://doi.org/10.1186/s12884-021-03867-6 |
work_keys_str_mv |
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