Literature DB >> 15098886

Can differences in labor induction rates be explained by case mix?

J Christopher Glantz1, David S Guzick.   

Abstract

OBJECTIVE: To determine whether differences in case mix account for variations in labor induction rates between hospitals and whether case mix adjustment is helpful in evaluating hospital induction rates. STUDY
DESIGN: Using a New York State birth certificate database, factors associated with induction of labor were entered into a logistic regression to calculate labor induction probabilities. The probabilities were used to calculate expected induction rates at each of 16 regional hospitals. Each hospital's observed and expected induction rates were compared to determine the degree of residual variation.
RESULTS: Excluding women who delivered by cesarean section without labor, the regional labor induction rate was 20.8%, with a 3.9-fold difference between the highest and lowest hospital rates (P < .0001). Adjusting for risk factors explained only 12.6% of the variation in induction rates. Risk adjustment to compare labor induction rates had a minimal effect on rank ordering of rates but made clearer some hospitals' rates.
CONCLUSION: Differences in case mix do not explain labor induction rate variation, but adjustment for case mix may aid in interpreting rates at individual hospitals.

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Year:  2004        PMID: 15098886

Source DB:  PubMed          Journal:  J Reprod Med        ISSN: 0024-7758            Impact factor:   0.142


  2 in total

1.  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

2.  Variation in hospital rates of induction of labour: a population-based record linkage study.

Authors:  Tanya A Nippita; Judy A Trevena; Jillian A Patterson; Jane B Ford; Jonathan M Morris; Christine L Roberts
Journal:  BMJ Open       Date:  2015-09-02       Impact factor: 2.692

  2 in total

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