Literature DB >> 28222233

Case mix adjusted variation in cesarean section rate in Sweden.

Johan Mesterton1,2, Lars Ladfors3, Anna Ekenberg Abreu4, Peter Lindgren1, Sissel Saltvedt5, Marianne Weichselbraun3, Isis Amer-Wåhlin1,6.   

Abstract

INTRODUCTION: Cesarean section (CS) rate is a well-established indicator of performance in maternity care and is also related to resource use. Case mix adjustment of CS rates when performing comparisons between hospitals is important. The objective of this study was to estimate case mix adjusted variation in CS rate between hospitals in Sweden.
MATERIAL AND METHODS: In total, 139 756 deliveries in 2011 and 2012 were identified in administrative systems in seven regions covering 67% of all deliveries in Sweden. Data were linked to the Medical birth register and population data. Twenty-three different sociodemographic and clinical characteristics were used for adjustment. Analyses were performed for the entire study population as well as for two subgroups. Logistic regression was used to analyze differences between hospitals.
RESULTS: The overall CS rate was 16.9% (hospital minimum-maximum 12.1-22.6%). Significant variations in CS rate between hospitals were observed after case mix adjustment: hospital odds ratios for CS varied from 0.62 (95% CI 0.53-0.73) to 1.45 (95% CI 1.37-1.52). In nulliparous, cephalic, full-term, singletons the overall CS rate was 14.3% (hospital minimum-maximum: 9.0-19.0%), whereas it was 4.7% for multiparous, cephalic, full-term, singletons with no previous CS (hospital minimum-maximum: 3.2-6.7%). In both subgroups significant variations were observed in case mix adjusted CS rates.
CONCLUSIONS: Significant differences in CS rate between Swedish hospitals were found after adjusting for differences in case mix. This indicates a potential for fewer interventions and lower resource use in Swedish childbirth care. Best practice sharing and continuous monitoring are important tools for improving childbirth care.
© 2017 Nordic Federation of Societies of Obstetrics and Gynecology.

Keywords:  Benchmarking; case mix adjustment; cesarean section; inter-hospital comparisons; performance; variation

Mesh:

Year:  2017        PMID: 28222233     DOI: 10.1111/aogs.13117

Source DB:  PubMed          Journal:  Acta Obstet Gynecol Scand        ISSN: 0001-6349            Impact factor:   3.636


  5 in total

1.  Prevalence of amniotomy in Sweden: a nationwide register study.

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2.  Standardized outcome measures for pregnancy and childbirth, an ICHOM proposal.

Authors:  Malini Anand Nijagal; Stephanie Wissig; Caleb Stowell; Elizabeth Olson; Isis Amer-Wahlin; Gouke Bonsel; Allyson Brooks; Matthew Coleman; Shamala Devi Karalasingam; James M N Duffy; Tracy Flanagan; Stefan Gebhardt; Meridith E Greene; Floris Groenendaal; J Ravichandran R Jeganathan; Tessa Kowaliw; Marije Lamain-de-Ruiter; Elliott Main; Michelle Owens; Rod Petersen; Irwin Reiss; Carol Sakala; Anna Maria Speciale; Rachel Thompson; Oluwakemi Okunade; Arie Franx
Journal:  BMC Health Serv Res       Date:  2018-12-11       Impact factor: 2.655

3.  Caesarean section in uninsured women in the USA: systematic review and meta-analysis.

Authors:  Ilir Hoxha; Medina Braha; Lamprini Syrogiannouli; David C Goodman; Peter Jüni
Journal:  BMJ Open       Date:  2019-03-03       Impact factor: 2.692

4.  Decision-making during obstetric emergencies: A narrative approach.

Authors:  Gabriel M Raoust; Johan Bergström; Maria Bolin; Stefan R Hansson
Journal:  PLoS One       Date:  2022-01-26       Impact factor: 3.240

5.  How can technology support quality improvement? Lessons learned from the adoption of an analytics tool for advanced performance measurement in a hospital unit.

Authors:  Sara Tolf; Johan Mesterton; Daniel Söderberg; Isis Amer-Wåhlin; Pamela Mazzocato
Journal:  BMC Health Serv Res       Date:  2020-09-01       Impact factor: 2.655

  5 in total

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