A global reference for caesarean section rates (C-Model): a multicountry cross-sectional study

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dc.citation.issue3
dc.citation.volume123
dc.contributor.authorSouza, J. P.
dc.contributor.authorBetran, A. P.
dc.contributor.authorDumont, A.
dc.contributor.authorde Mucio, B.
dc.contributor.authorPickens, C. M. Gibbs
dc.contributor.authorDeneux-Tharaux, C.
dc.contributor.authorOrtiz-Panozo, E.
dc.contributor.authorSullivan, E.
dc.contributor.authorOta, E.
dc.contributor.authorTogoobaatar, G.
dc.contributor.authorCarroli, G.
dc.contributor.authorKnight, H.
dc.contributor.authorZhang, J.
dc.contributor.authorCecatti, J. G.
dc.contributor.authorVogel, J. P.
dc.contributor.authorJayaratne, K.
dc.contributor.authorLeal, M. C.
dc.contributor.authorGissler, M.
dc.contributor.authorMorisaki, N.
dc.contributor.authorLack, N.
dc.contributor.authorOladapo, O. T.
dc.contributor.authorTuncalp, O.
dc.contributor.authorLumbiganon, P.
dc.contributor.authorMori, R.
dc.contributor.authorQuintana, S.
dc.contributor.authorPassos, A. D. Costa
dc.contributor.authorMarcolin, A. C.
dc.contributor.authorZongo, A.
dc.contributor.authorBlondel, B.
dc.contributor.authorHernandez, B.
dc.contributor.authorHogue, C. J.
dc.contributor.authorPrunet, C.
dc.contributor.authorLandman, C.
dc.contributor.authorOchir, C.
dc.contributor.authorCuesta, C.
dc.contributor.authorPileggi-Castro, C.
dc.contributor.authorWalker, D.
dc.contributor.authorAlves, D.
dc.contributor.authorAbalos, E.
dc.contributor.authorMoises, E. C. D.
dc.contributor.authorVieira, E. M.
dc.contributor.authorDuarte, G.
dc.contributor.authorPerdona, G.
dc.contributor.authorGurol-Urganci, I.
dc.contributor.authorTakahiko, K.
dc.contributor.authorMoscovici, L.
dc.contributor.authorCampodonico, L.
dc.contributor.authorOliveira-Ciabati, L.
dc.contributor.authorLaopaiboon, M.
dc.contributor.authorDanansuriya, M.
dc.contributor.authorNakamura-Pereira, M.
dc.contributor.authorCosta, M. L.
dc.contributor.authorTorloni, M. R. [UNIFESP]
dc.contributor.authorKramer, M. R.
dc.contributor.authorBorges, P.
dc.contributor.authorOlkhanud, P. B.
dc.contributor.authorPerez-Cuevas, R.
dc.contributor.authorAgampodi, S. B.
dc.contributor.authorMittal, S.
dc.contributor.authorSerruya, S.
dc.contributor.authorBataglia, V.
dc.contributor.authorLi, Z.
dc.contributor.authorTemmerman, M.
dc.contributor.authorGuelmezoglu, A. M.
dc.coverageHoboken
dc.date.accessioned2020-11-03T14:40:33Z
dc.date.available2020-11-03T14:40:33Z
dc.date.issued2016
dc.description.abstractObjectiveTo generate a global reference for caesarean section (CS) rates at health facilities. DesignCross-sectional study. SettingHealth facilities from 43 countries. Population/SampleThirty eight thousand three hundred and twenty-four women giving birth from 22 countries for model building and 10045875 women giving birth from 43 countries for model testing. MethodsWe hypothesised that mathematical models could determine the relationship between clinical-obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three-step approach to generate the global benchmark of CS rates at health facilities: creation of a multi-country reference population, building mathematical models, and testing these models. Main outcome measuresArea under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate. ResultsAccording to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C-Model, with summary estimates ranging from 0.832 to 0.844. The C-Model was able to generate expected CS rates adjusted for the case-mix of the obstetric population. We have also prepared an e-calculator to facilitate use of C-Model (). ConclusionsThis article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C-Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS. Tweetable abstractThe C-Model provides a customized benchmark for caesarean section rates in health facilities and systems. Tweetable abstract The C-Model provides a customized benchmark for caesarean section rates in health facilities and systems.en
dc.description.affiliationUniv Sao Paulo, Ribeirao Preto Med Sch, Dept Social Med, Av Bandeirantes, BR-3900 Ribeirao Preto, Brazil
dc.description.affiliationWHO, World Bank Special Programme Res Dev & Res Traini, UNDP UNFPA UNICEF WHO, Dept Reprod Hlth & Res, CH-1211 Geneva, Switzerland
dc.description.affiliationUniv Paris 05, Sorbonne Paris Cite, UMR 216, Inst Dev Res, Paris, France
dc.description.affiliationWHO Reg Off Amer, Women & Reprod Hlth CLAP WR, Latin Amer Ctr Perinatol, Montevideo, Uruguay
dc.description.affiliationEmory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, Atlanta, GA 30322 USA
dc.description.affiliationParis Descartes Univ, Ctr Epidemiol & Biostat, Obstetr Perinatal & Pediat Epidemiol Res Team, Inserm U1153, Paris, France
dc.description.affiliationNatl Inst Publ Hlth, Ctr Populat Hlth Res, Cuernavaca, Morelos, Mexico
dc.description.affiliationUniv Technol, Fac Hlth, Sydney, NSW, Australia
dc.description.affiliationNatl Ctr Child Hlth & Dev, Dept Hlth Policy, Tokyo, Japan
dc.description.affiliationCtr Rosarino Estudios Perinat, Rosario, Argentina
dc.description.affiliationLindsay Stewart R&D Ctr, Off Res & Clin Audit, Royal Coll Obstetricians & Gynaecologists, London, England
dc.description.affiliationLondon Sch Hyg & Trop Med, Dept Hlth Serv Res & Policy, London WC1, England
dc.description.affiliationShanghai Jiao Tong Univ, Sch Med, Xinhua Hosp, Shanghai Key Lab Childrens Environ Hlth,Minist Ed, Shanghai 200030, Peoples R China
dc.description.affiliationUniv Estadual Campinas, Sch Med Sci, Dept Obstet & Gynaecol, Campinas, SP, Brazil
dc.description.affiliationFamily Hlth Bur, Minist Hlth, Colombo, Sri Lanka
dc.description.affiliationFiocruz MS, ENSP, BR-21045900 Rio De Janeiro, Brazil
dc.description.affiliationNatl Inst Hlth & Welf, Helsinki, Finland
dc.description.affiliationUniv Tokyo, Grad Sch Med, Dept Paediat, Tokyo, Japan
dc.description.affiliationBayer Krankenhausgesellschaft, Bayer Arbeitsgemeinschaft Qualitatssicherun Stati, Munich, Germany
dc.description.affiliationKhon Kaen Univ, Fac Med, Dept Obstet & Gynecol, Khon, Kaen, Thailand
dc.description.affiliationUniv Sao Paulo, Ribeirao Preto Med Sch, Dept Obstet & Gynaecol, BR-14049 Ribeirao Preto, Brazil
dc.description.affiliationMinist Sante, Direct Sante Famille, Ouagadougou, Burkina Faso
dc.description.affiliationUniv Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
dc.description.affiliationUniv Mongolia, Hlth Sci, Sch Publ Hlth, Ulaanbaatar, Mongol Peo Rep
dc.description.affiliationGLIDE Tech Cooperat & Res, Ribeirao Preto, SP, Brazil
dc.description.affiliationUniv Sao Paulo, Ribeirao Preto Med Sch, Dept Paediat, BR-14049 Ribeirao Preto, SP, Brazil
dc.description.affiliationUniv Calif San Francisco, Dept Obstet & Gynaecol & Global Hlth Sci, San Francisco, CA 94143 USA
dc.description.affiliationKhon Kaen Univ, Fac Publ Hlth, Dept Biostat & Demog, Khon Kaen, Thailand
dc.description.affiliationUniv Fed Sao Paulo, Sch Med Sao Paulo, Dept Obstet, Sao Paulo, Brazil
dc.description.affiliationInter Amer Dev Bank, Social Protect & Hlth Div, Mexico City, DF, Mexico
dc.description.affiliationFortis Mem Res Inst, Gurgaon, Haryana, India
dc.description.affiliationHosp Nacl Itaugua, Itaugua, Paraguay
dc.description.affiliationUnifespUniv Fed Sao Paulo, Sch Med Sao Paulo, Dept Obstet, Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipNICHD NIH HHS
dc.description.sponsorshipWorld Health Organization
dc.description.sponsorshipIDNICHD NIH HHS: T32 HD052460
dc.description.sponsorshipIDWorld Health Organization: 001
dc.format.extent427-436
dc.identifierhttps://doi.org/10.1111/1471-0528.13509
dc.identifier.citationBjog-An International Journal Of Obstetrics And Gynaecology. Hoboken, v. 123, n. 3, p. 427-436, 2016.
dc.identifier.doi10.1111/1471-0528.13509
dc.identifier.fileWOS000368998000022.pdf
dc.identifier.issn1470-0328
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/58619
dc.identifier.wosWOS:000368998000022
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofBjog-An International Journal Of Obstetrics And Gynaecology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBenchmarkingen
dc.subjectcaesarean delivery ratesen
dc.subjectcaesarean section ratesen
dc.subjectlogistic regressionen
dc.titleA global reference for caesarean section rates (C-Model): a multicountry cross-sectional studyen
dc.typeinfo:eu-repo/semantics/article
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