Risk adjustment for inter-hospital comparison of caesarean delivery rates in low-risk deliveries
- PMID: 22132210
- PMCID: PMC3223220
- DOI: 10.1371/journal.pone.0028060
Risk adjustment for inter-hospital comparison of caesarean delivery rates in low-risk deliveries
Abstract
Background: Caesarean delivery (CD) rates have been frequently used as quality measures for maternity service comparisons. More recently, primary CD rates (CD in women without previous CD) or CD rates within selected categories such as nulliparous, term, cephalic singleton deliveries (NTCS) have been used. The objective of this study is to determine the extent to which risk adjustment for clinical and socio-demographic variables is needed for inter-hospital comparisons of CD rates in women without previous CD and in NTCS deliveries.
Methods: Hospital discharge records of women who delivered in Emilia-Romagna Region (Italy) from January, 2007 to June 2009 and in Tuscany Region for year 2009 were linked with birth certificates. Adjusted RRs of CD in women without a previous Caesarean and NTCS were estimated using Poisson regression. Percentage differences in RR before and after adjustment were calculated and hospital rankings, based on crude and adjusted RRs, were examined.
Results: Adjusted RR differed substantially from crude RR in women without a previous Caesarean and only marginally in NTCS group. Hospital ranking was markedly affected by adjustment in women without a previous CD, but less in NTCS.
Conclusion: Risk adjustment is warranted for inter-hospital comparisons of primary CD rates but not for NTCS CD rates. Crude NTCS CD rates are a reliable estimate of adjusted NTCS CD.
Conflict of interest statement
Figures
Similar articles
-
Risk adjustment models for interhospital comparison of CS rates using Robson's ten group classification system and other socio-demographic and clinical variables.BMC Pregnancy Childbirth. 2012 Jun 21;12:54. doi: 10.1186/1471-2393-12-54. BMC Pregnancy Childbirth. 2012. PMID: 22720844 Free PMC article.
-
The application of the Ten Group classification system (TGCS) in caesarean delivery case mix adjustment. A multicenter prospective study.PLoS One. 2013 Jun 5;8(6):e62364. doi: 10.1371/journal.pone.0062364. Print 2013. PLoS One. 2013. PMID: 23755097 Free PMC article.
-
Risk adjustment for inter-hospital comparison of primary cesarean section rates: need, validity and parsimony.BMC Health Serv Res. 2006 Aug 15;6:100. doi: 10.1186/1472-6963-6-100. BMC Health Serv Res. 2006. PMID: 16911770 Free PMC article.
-
A Simple Risk Adjustment for Hospital-Level Nulliparous, Term, Singleton, Vertex, Cesarean Delivery Rates and Its Implications for Public Reporting.Jt Comm J Qual Patient Saf. 2024 Jul;50(7):500-506. doi: 10.1016/j.jcjq.2024.04.006. Epub 2024 Apr 16. Jt Comm J Qual Patient Saf. 2024. PMID: 38744623
-
Risk adjustment for inter-hospital comparisons of caesarean section rates in Taipei municipal hospitals.Eur J Obstet Gynecol Reprod Biol. 2006 Aug;127(2):190-7. doi: 10.1016/j.ejogrb.2005.10.016. Epub 2005 Dec 1. Eur J Obstet Gynecol Reprod Biol. 2006. PMID: 16325330
Cited by
-
Risk adjustment models for interhospital comparison of CS rates using Robson's ten group classification system and other socio-demographic and clinical variables.BMC Pregnancy Childbirth. 2012 Jun 21;12:54. doi: 10.1186/1471-2393-12-54. BMC Pregnancy Childbirth. 2012. PMID: 22720844 Free PMC article.
-
The application of the Ten Group classification system (TGCS) in caesarean delivery case mix adjustment. A multicenter prospective study.PLoS One. 2013 Jun 5;8(6):e62364. doi: 10.1371/journal.pone.0062364. Print 2013. PLoS One. 2013. PMID: 23755097 Free PMC article.
-
Hospital differences in cesarean deliveries in Massachusetts (US) 2004-2006: the case against case-mix artifact.PLoS One. 2013;8(3):e57817. doi: 10.1371/journal.pone.0057817. Epub 2013 Mar 18. PLoS One. 2013. PMID: 23526952 Free PMC article.
-
Spatial and temporal trends of cesarean deliveries in Uganda: 2012-2016.BMC Pregnancy Childbirth. 2019 Apr 16;19(1):132. doi: 10.1186/s12884-019-2279-6. BMC Pregnancy Childbirth. 2019. PMID: 30991975 Free PMC article.
-
Trend Prediction for Cesarean Deliveries Based on Robson Classification System at a Tertiary Referral Unit of North India.J Obstet Gynaecol India. 2020 Apr;70(2):111-118. doi: 10.1007/s13224-019-01275-7. Epub 2019 Oct 11. J Obstet Gynaecol India. 2020. PMID: 32255948 Free PMC article.
References
-
- Belizan J, Althabe F, Cafferata ML. Health consequences of the increasing caesarean section rates. Epidemiology. 2007;18:485–486. - PubMed
-
- Chaillet N, Dumont A. Evidence-based strategies for reducing cesarean section rates: a meta-analysis. Birth. 2007;34:53–64. - PubMed
-
- Main EK, Bingham D. Quality improvement in maternity care: promising approaches from the medical and public health perspectives. Curr Opin Obstet Gynecol. 2008;20:574–80. - PubMed
-
- Main EK, Moore D, Farrell B, Schimmel LD, Altman RJ, et al. Is there a useful cesarean birth measure? Assessment of the nulliparous term singleton vertex cesarean birth rate as a tool for obstetric quality improvement. Am J Obstet Gynecol. 2006;194:1644–51. - PubMed
-
- Aron DC, Harper DL, Shepardson LB, Rosenthal GE. Impact of risk-adjusting cesarean delivery rates when reporting hospital performance. JAMA. 1998;279:1968–72. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical