Inter-hospital variations in labor induction and outcomes for nullipara: an Australian population-based linkage study.

INTRODUCTION: This study aimed to describe variation in inter-hospital induction of labor (IOL) rates, determine whether variation is explained by individual and hospital factors and examine birth outcomes. MATERIAL AND METHODS: Nullipara at term with a singleton cephalic birth were identified using linked hospital discharge and birth data for 66 hospitals in New South Wales, Australia, 2010-2011. Random effects multilevel logistic regression models were fitted for early term, full term, and late term births, adjusting for individual and hospital factors. Hospital intrapartum cesarean rates, and severe maternal and neonatal morbidity outcomes were determined according to hospital IOL rate. RESULTS: Of 69 549 nullipara, 24 673 (35%) had an IOL. For early term births, adjusted hospital IOL (aIOL) rates varied (3.3-13.9%), with 11 of 66 (17%) hospitals having aIOL rates significantly different from the average aIOL rate. For births at full term, the hospital aIOL rates varied (10.6-32.6%), with 29 hospitals (44%) having aIOL rates significantly different from the average aIOL rate. For late term births, the hospital aIOL rates varied (45.1-67.5%), with 11 hospitals (17%) having aIOL rates significantly different from the overall average aIOL rate for women with late term births. There was generally no relationship between higher or lower hospital IOL rates and intrapartum cesarean section rates, or maternal or neonatal adverse outcomes. CONCLUSIONS: Inter-hospital IOL rates for nullipara with a singleton cephalic term birth had high unexplained variation, with no clear association with intrapartum cesarean section rates, or maternal or neonatal adverse outcomes.

Quantifying under-reporting of pathology tests in Medical Benefits Schedule claims data.

OBJECTIVE: We investigated the completeness of recording of pathology tests in Australian Medical Benefits Schedule (MBS) claims data, using the example of the prostate-specific antigen (PSA) test. With some exceptions, MBS claims data records only the three most expensive pathology items in an episode of care, and this practice ('episode coning') means that pathology tests can be under-recorded. METHODS: The analysis used MBS data for male participants in the 45 and Up Study. The number and cost of items in each episode of care were used to determine whether an episode contained a PSA screening test (Item 66655), or could have lacked a record of this item because of episode coning. RESULTS: MBS data for 1070392 episodes involving a request for a pathology test for 118074 men were analysed. Of these episodes, 11% contained a request for a PSA test; a further 7.5% may have been missing a PSA request that was not recorded because of episode coning. CONCLUSIONS: It is important to consider under-reporting of pathology tests as a result of episode coning when interpreting MBS claims data. Episode coning creates uncertainty about whether a person has received any given pathology test. The extent of this uncertainty can be estimated by determining the proportion of episodes in which the test may have been performed but was not recorded due to episode coning.

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

OBJECTIVES: To examine interhospital variation in rates of induction of labour (IOL) to identify potential targets to reduce high rates of practice variation. DESIGN: Population-based record linkage cohort study. SETTING: New South Wales, Australia, 2010-2011. PARTICIPANTS: All women with live births of ≥24 weeks gestation in 72 hospitals. PRIMARY OUTCOME MEASURE: Variation in hospital IOL rates adjusted for differences in case-mix, according to 10 mutually exclusive groups derived from the Robson caesarean section classification; groups were categorised by parity, plurality, fetal presentation, prior caesarean section and gestational age. RESULTS: The overall IOL rate was 26.7% (46,922 of 175,444 maternities were induced), ranging from 9.7% to 41.2% (IQR 21.8-29.8%) between hospitals. Nulliparous and multiparous women at 39-40 weeks gestation with a singleton cephalic birth were the greatest contributors to the overall IOL rate (23.5% and 20.2% of all IOL respectively), and had persisting high unexplained variation after adjustment for case-mix (adjusted hospital IOL rates ranging from 11.8% to 44.9% and 7.1% to 40.5%, respectively). In contrast, there was little variation in interhospital IOL rates among multiparous women with a singleton cephalic birth at ≥41 weeks gestation, women with singleton non-cephalic pregnancies and women with multifetal pregnancies. CONCLUSIONS: 7 of the 10 groups showed high or moderate unexplained variation in interhospital IOL rates, most pronounced for women at 39-40 weeks gestation with a singleton cephalic birth. Outcomes associated with divergent practice require determination, which may guide strategies to reduce practice variation.