Risk adjustment for inter-hospital comparison of primary cesarean section rates: need, validity and parsimonyReportar como inadecuado




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BMC Health Services Research

, 6:100

First Online: 15 August 2006Received: 17 March 2006Accepted: 15 August 2006DOI: 10.1186-1472-6963-6-100

Cite this article as: Fantini, M.P., Stivanello, E., Frammartino, B. et al. BMC Health Serv Res 2006 6: 100. doi:10.1186-1472-6963-6-100

Abstract

BackgroundCesarean section rates is often used as an indicator of quality of care in maternity hospitals. The assumption is that lower rates reflect in developed countries more appropriate clinical practice and general better performances. Hospitals are thus often ranked on the basis of caesarean section rates.

The aim of this study is to assess whether the adjustment for clinical and sociodemographic variables of the mother and the fetus is necessary for inter-hospital comparisons of cesarean section c-section rates and to assess whether a risk adjustment model based on a limited number of variables could be identified and used.

MethodsDischarge abstracts of labouring women without prior cesarean were linked with abstracts of newborns discharged from 29 hospitals of the Emilia-Romagna Region Italy from 2003 to 2004. Adjusted ORs of cesarean by hospital were estimated by using two logistic regression models: 1 a full model including the potential confounders selected by a backward procedure; 2 a parsimonious model including only actual confounders identified by the -change-in-estimate- procedure. Hospital rankings, based on ORs were examined.

Results24 risk factors for c-section were included in the full model and 7 marital status, maternal age, infant weight, fetopelvic disproportion, eclampsia or pre-eclampsia, placenta previa-abruptio placentae, malposition-malpresentation in the parsimonious model. Hospital ranking using the adjusted ORs from both models was different from that obtained using the crude ORs. The correlation between the rankings of the two models was 0.92. The crude ORs were smaller than ORs adjusted by both models, with the parsimonious ones producing more precise estimates.

ConclusionRisk adjustment is necessary to compare hospital c-section rates, it shows differences in rankings and highlights inappropriateness of some hospitals. By adjusting for only actual confounders valid and more precise estimates could be obtained.

Electronic supplementary materialThe online version of this article doi:10.1186-1472-6963-6-100 contains supplementary material, which is available to authorized users.

Maria P Fantini, Elisa Stivanello, Brunella Frammartino, Anna P Barone, Danilo Fusco, Laura Dallolio, Paolo Cacciari and Carlo A Perucci contributed equally to this work.

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Autor: Maria P Fantini - Elisa Stivanello - Brunella Frammartino - Anna P Barone - Danilo Fusco - Laura Dallolio - Paolo Cacciar

Fuente: https://link.springer.com/







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