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Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling

BACKGROUND: The rate of Caesarean Section (CS) deliveries has shown an alarming rise in recent years. CS is a surgical procedure used when there is apprehension of risk to the life of mother or baby in case of vaginal delivery, but its rates higher than 10–15 per cent are not justifiable. It is well...

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Autor principal: Sk, Rayhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544137/
https://www.ncbi.nlm.nih.gov/pubmed/33031397
http://dx.doi.org/10.1371/journal.pone.0239649
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author Sk, Rayhan
author_facet Sk, Rayhan
author_sort Sk, Rayhan
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description BACKGROUND: The rate of Caesarean Section (CS) deliveries has shown an alarming rise in recent years. CS is a surgical procedure used when there is apprehension of risk to the life of mother or baby in case of vaginal delivery, but its rates higher than 10–15 per cent are not justifiable. It is well recognised that a CS delivery could have a large number of adverse impacts on women and infants. Several studies, especially in developing countries, have revealed that delivery in private hospitals is one of the most contributing factors in CS deliveries. The present study conceptualises a causal pathway in which the possible risk factors, socio-economic, maternal and pregnancy-related, as well as institutional, influence the chances of CS delivery. It is hypothesised that certain factors would contribute to CS deliveries largely indirectly through the place of delivery, that is, either a public or private institution. METHODS AND FINDINGS: To test the hypotheses, this study analysed 146,280 most recent live births delivered in hospitals during the five years preceding the fourth round of India’s National Family Health Survey (NFHS-4), carried out during 2015–2016. The analysis, using generalised structural equation modelling (GSEM), revealed that many exogenous variables considered in the path models influence CS deliveries significantly, directly and/or indirectly through the place of delivery factor. Prominent among these are wealth index and receiving ANC services at only private hospitals; the total effects of these variables are even higher than the direct/total effect of place of delivery. CONCLUSION: From this finding, it could be said that the place of delivery is a proximate determinant of a CS delivery or a mediator of other co-factors. Interventions to curb higher CS deliveries should be focused on improving the quality of public health sectors and on developing protocols for CS deliveries.
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spelling pubmed-75441372020-10-19 Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling Sk, Rayhan PLoS One Research Article BACKGROUND: The rate of Caesarean Section (CS) deliveries has shown an alarming rise in recent years. CS is a surgical procedure used when there is apprehension of risk to the life of mother or baby in case of vaginal delivery, but its rates higher than 10–15 per cent are not justifiable. It is well recognised that a CS delivery could have a large number of adverse impacts on women and infants. Several studies, especially in developing countries, have revealed that delivery in private hospitals is one of the most contributing factors in CS deliveries. The present study conceptualises a causal pathway in which the possible risk factors, socio-economic, maternal and pregnancy-related, as well as institutional, influence the chances of CS delivery. It is hypothesised that certain factors would contribute to CS deliveries largely indirectly through the place of delivery, that is, either a public or private institution. METHODS AND FINDINGS: To test the hypotheses, this study analysed 146,280 most recent live births delivered in hospitals during the five years preceding the fourth round of India’s National Family Health Survey (NFHS-4), carried out during 2015–2016. The analysis, using generalised structural equation modelling (GSEM), revealed that many exogenous variables considered in the path models influence CS deliveries significantly, directly and/or indirectly through the place of delivery factor. Prominent among these are wealth index and receiving ANC services at only private hospitals; the total effects of these variables are even higher than the direct/total effect of place of delivery. CONCLUSION: From this finding, it could be said that the place of delivery is a proximate determinant of a CS delivery or a mediator of other co-factors. Interventions to curb higher CS deliveries should be focused on improving the quality of public health sectors and on developing protocols for CS deliveries. Public Library of Science 2020-10-08 /pmc/articles/PMC7544137/ /pubmed/33031397 http://dx.doi.org/10.1371/journal.pone.0239649 Text en © 2020 Rayhan Sk http://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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sk, Rayhan
Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling
title Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling
title_full Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling
title_fullStr Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling
title_full_unstemmed Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling
title_short Does delivery in private hospitals contribute largely to Caesarean Section births? A path analysis using generalised structural equation modelling
title_sort does delivery in private hospitals contribute largely to caesarean section births? a path analysis using generalised structural equation modelling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544137/
https://www.ncbi.nlm.nih.gov/pubmed/33031397
http://dx.doi.org/10.1371/journal.pone.0239649
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