How does hospital organisation influence the use of caesarean sections in low- and middle-income countries? A cross-sectional survey in Argentina, Burkina Faso, Thailand and Vietnam for the QUALI-DEC project Article Swipe
Camille Etcheverry
,
Ana Pilar Betrán
,
Myriam de Loenzien
,
Michael Robson
,
Charles Kaboré
,
Pisake Lumbiganon
,
Guillermo Carroli
,
Quoc Nhu Hung Mac
,
Celina Gialdini
,
Alexandre Dumont
,
Marion Ravit
,
Isabella Ramos Mendoza
,
Newton Opiyo
,
Meghan A. Bohren
,
Charles Kaboré
,
Fadima Yaya Bocoum
,
Simon Tiendrébéogo
,
Roger Zerbo
,
Dittakarn Boriboonhirunsarn
,
Nampet Jampathong
,
Kiattisak Kongwattanakul
,
Ameporn Ratinthorn
,
Olarik Musigavong
,
Liana Campodónico
,
Berenise Carroli
,
Gabriela Garcia Camacho
,
Daniel Giordano
,
Hugo Gamerro
,
Quoc Nhu Hung Mac
,
Thao Truong
,
Tran Minh Thien Ngo
,
Bui Duc Toan
,
Huynh Nguyen Khanh Trang
,
Hoang Thi Diem Tuyet
,
Claudia Hanson
,
Helle Mölsted-Alvesson
,
Kristi Sidney Annerstedt
,
Mariana Romero
,
Ramón Escuriet
,
Olga Canet Vélez
,
Karen Zamboni
,
Laurence Lombard
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s12884-024-06257-w
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1186/s12884-024-06257-w
Background Improving the understanding of non-clinical factors that lead to the increasing caesarean section (CS) rates in many low- and middle-income countries is currently necessary to meet the challenge of implementing effective interventions in hospitals to reverse the trend. The objective of this study was to study the influence of organizational factors on the CS use in Argentina, Vietnam, Thailand and Burkina Faso. Methods A cross-sectional hospital-based postpartum survey was conducted in 32 hospitals (8 per country). We selected women with no potential medical need for CS among a random sample of women who delivered at each of the participating facilities during the data collection period. We used multilevel multivariable logistic regression to analyse the association between CS use and organizational factors, adjusted on women’s characteristics. Results A total of 2,092 low-risk women who had given birth in the participating hospitals were included. The overall CS rate was 24.1%, including 4.9% of pre-labour CS and 19.3% of intra-partum CS. Pre-labour CS was significantly associated with a 24-hour anaesthetist dedicated to the delivery ward (ORa = 3.70 [1.41; 9.72]) and with the possibility to have an individual room during labour and delivery (ORa = 0.28 [0.09; 0.87]). Intra-partum CS was significantly associated with a higher bed occupancy level (ORa = 1.45 [1.09; 1.93]): intrapartum CS rate would increase of 6.3% points if the average number of births per delivery bed per day increased by 10%. Conclusion Our results suggest that organisational norms and convenience associated with inadequate use of favourable resources, as well as the lack of privacy favouring women’s preference for CS, and the excessive workload of healthcare providers drive the CS overuse in these hospitals. It is also crucial to enhance human and physical resources in delivery rooms and the organisation of intrapartum care to improve the birth experience and the working environment for those providing care. Trial registration The QUALI-DEC trial is registered on the Current Controlled Trials website ( https://www.isrctn.com/ ) under the number ISRCTN67214403.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12884-024-06257-w
- https://bmcpregnancychildbirth.biomedcentral.com/counter/pdf/10.1186/s12884-024-06257-w
- OA Status
- gold
- Cited By
- 3
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390946651
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390946651Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12884-024-06257-wDigital Object Identifier
- Title
-
How does hospital organisation influence the use of caesarean sections in low- and middle-income countries? A cross-sectional survey in Argentina, Burkina Faso, Thailand and Vietnam for the QUALI-DEC projectWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-17Full publication date if available
- Authors
-
Camille Etcheverry, Ana Pilar Betrán, Myriam de Loenzien, Michael Robson, Charles Kaboré, Pisake Lumbiganon, Guillermo Carroli, Quoc Nhu Hung Mac, Celina Gialdini, Alexandre Dumont, Marion Ravit, Isabella Ramos Mendoza, Newton Opiyo, Meghan A. Bohren, Charles Kaboré, Fadima Yaya Bocoum, Simon Tiendrébéogo, Roger Zerbo, Dittakarn Boriboonhirunsarn, Nampet Jampathong, Kiattisak Kongwattanakul, Ameporn Ratinthorn, Olarik Musigavong, Liana Campodónico, Berenise Carroli, Gabriela Garcia Camacho, Daniel Giordano, Hugo Gamerro, Quoc Nhu Hung Mac, Thao Truong, Tran Minh Thien Ngo, Bui Duc Toan, Huynh Nguyen Khanh Trang, Hoang Thi Diem Tuyet, Claudia Hanson, Helle Mölsted-Alvesson, Kristi Sidney Annerstedt, Mariana Romero, Ramón Escuriet, Olga Canet Vélez, Karen Zamboni, Laurence LombardList of authors in order
- Landing page
-
https://doi.org/10.1186/s12884-024-06257-wPublisher landing page
- PDF URL
-
https://bmcpregnancychildbirth.biomedcentral.com/counter/pdf/10.1186/s12884-024-06257-wDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bmcpregnancychildbirth.biomedcentral.com/counter/pdf/10.1186/s12884-024-06257-wDirect OA link when available
- Concepts
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Medicine, Caesarean section, Reproductive medicine, Cross-sectional study, Psychological intervention, Logistic regression, Demography, Childbirth, Developing country, Post partum, Pregnancy, Environmental health, Nursing, Economic growth, Internal medicine, Pathology, Sociology, Economics, Biology, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
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61Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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