Literature DB >> 9649082

Assessing the role of case mix in cesarean delivery rates.

E Lieberman1, J M Lang, L J Heffner, A Cohen.   

Abstract

OBJECTIVE: Implicit in comparisons of unadjusted cesarean rates for hospitals and providers is the assumption that differences result from management practices rather than differences in case mix. This study proposes a method for comparison of cesarean rates that takes the effect of case mix into account.
METHODS: All women delivered of infants at our institution from December 1, 1994, through July 31, 1995, were classified according to whether they received care from community-based practitioners (N=3913) or from the hospital-based practice that serves a higher-risk population (N=1556). Women were categorized according to both obstetric history (nulliparas, multiparas without a previous cesarean, multiparas with a previous cesarean) and the presence of obstetric conditions influencing the risk of cesarean delivery (multiple birth, breech presentation or transverse lie, preterm, no trial of labor for a medical indication). We determined the percent of women in each parity-obstetric condition subgroup and calculated a standardized cesarean rate for the hospital-based practice using the case mix of the community-based practitioners as the standard.
RESULTS: The crude cesarean rate was higher for the hospital-based practice (24.4%) than for the community-based practitioners (21.5%), a rate difference of 2.9% (95% confidence interval=0.4%, 5.4%; P=.02). However, the proportion of women falling into categories conferring a high risk of cesarean delivery (multiple pregnancy, breech presentation or transverse lie, preterm, no trial of labor permitted) was twice as high for the hospital-based practice (24.4% hospital, 12.1% community). The standardization indicates that if the hospital-based practitioners had the same case mix as community-based practitioners, their overall cesarean rate would be 20.1%, similar to the 21.5% rate of community providers (rate difference=-1.4%, 95% confidence interval =-3.1%, 0.3%; P=.11).
CONCLUSION: Standardization for case mix provides a mechanism for distinguishing differences in cesarean rates resulting from case mix from those relating to differences in practice. The methodology is not complex and could be applied to facilitate fairer comparisons of rates among providers and across institutions.

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Year:  1998        PMID: 9649082     DOI: 10.1016/s0029-7844(98)00113-6

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  8 in total

1.  Case-mix adjusted odds ratios as an alternative way to compare hospital performances.

Authors:  Alessandra Capon; Domenico Di Lallo; Carlo Alberto Perucci; Lea Panepuccia
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

Review 2.  Perinatal epidemiology: Issues, challenges, and potential solutions.

Authors:  Konstantinos Giannakou
Journal:  Obstet Med       Date:  2020-09-01

3.  A Native American community with a 7% cesarean delivery rate: does case mix, ethnicity, or labor management explain the low rate?

Authors:  Lawrence Leeman; Rebecca Leeman
Journal:  Ann Fam Med       Date:  2003 May-Jun       Impact factor: 5.166

Review 4.  Classifications for cesarean section: a systematic review.

Authors:  Maria Regina Torloni; Ana Pilar Betran; Joao Paulo Souza; Mariana Widmer; Tomas Allen; Metin Gulmezoglu; Mario Merialdi
Journal:  PLoS One       Date:  2011-01-20       Impact factor: 3.240

5.  Risk adjustment for inter-hospital comparison of caesarean delivery rates in low-risk deliveries.

Authors:  Elisa Stivanello; Paola Rucci; Elisa Carretta; Giulia Pieri; Chiara Seghieri; Sabina Nuti; Eugene Declercq; Martina Taglioni; Maria Pia Fantini
Journal:  PLoS One       Date:  2011-11-23       Impact factor: 3.240

6.  Risk adjustment for inter-hospital comparison of primary cesarean section rates: need, validity and parsimony.

Authors:  Maria P Fantini; Elisa Stivanello; Brunella Frammartino; Anna P Barone; Danilo Fusco; Laura Dallolio; Paolo Cacciari; Carlo A Perucci
Journal:  BMC Health Serv Res       Date:  2006-08-15       Impact factor: 2.655

7.  Case mix adjustment of health outcomes, resource use and process indicators in childbirth care: a register-based study.

Authors:  Johan Mesterton; Peter Lindgren; Anna Ekenberg Abreu; Lars Ladfors; Monica Lilja; Sissel Saltvedt; Isis Amer-Wåhlin
Journal:  BMC Pregnancy Childbirth       Date:  2016-05-31       Impact factor: 3.007

8.  Determinants of cesarean delivery: a classification tree analysis.

Authors:  Elisa Stivanello; Paola Rucci; Jacopo Lenzi; Maria Pia Fantini
Journal:  BMC Pregnancy Childbirth       Date:  2014-06-28       Impact factor: 3.007

  8 in total

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