Severe maternal morbidity during delivery hospitalisation in a large international administrative database, 2008-2013: a retrospective cohort.

OBJECTIVE: This study utilized the Dr. Foster Global Comparators database to identify pregnancy complications and associated risk factors that led to severe maternal morbidity during delivery hospitalisations in large university hospitals based in the USA, Australia, and England. DESIGN: Retrospective cohort. SETTING: Births in the USA, England and Australia from 2008 to 2013. SAMPLE: Data from delivery hospitalisations between 2008 and 2013 were examined using the Dr. Foster Global Comparators database. METHODS: We identified delivery hospitalisations with life-threatening diagnoses or use of life-saving procedures, using algorithms for severe maternal morbidity from the Center for Disease Control. Frequency of severe maternal morbidity was calculated for each country. MAIN OUTCOME MEASURES: Multivariable analysis was used to examine the association between morbidity and socio-demographic and clinical characteristics within each country. Chi-square tests assessed differences in covariates between countries. RESULTS: From 2008 to 2013, there were 516 781 deliveries from a total of 18 hospitals: 24.5% from the USA, 57.0% from England and 18.4% from Australia. Overall severe maternal morbidity rate was 8.2 per 1000 deliveries: 15.6 in the USA, 5.0 in England, and 8.2 in Australia. The most common codes identifying severe morbidity included transfusion, disseminated intravascular coagulation, acute renal failure, cardiac events/procedures, ventilation, hysterectomy, and eclampsia. Advanced maternal age, hypertension, diabetes, and substance abuse were associated with severe maternal morbidity in all three countries. CONCLUSION: Rates of severe maternal morbidity differed by country. Identification of geographical, socio-demographic, and clinical differences can help target modifications of practice and potentially reduce severe maternal morbidity. TWEETABLE ABSTRACT: Rates of severe maternal morbidity vary, but risk factors associated with adverse outcomes are similar in developed countries.

Hospital variation in cost of childbirth and contributing factors: a cross-sectional study.

OBJECTIVE: To examine hospital variation in cost of childbirth hospitalisations and identify factors that contribute to the variation. DESIGN: Cross-sectional analysis of linked birth certificate and hospital discharge data. SETTING: Two hundred and twenty hospitals in California delivering ≥ 100 births per year. POPULATION: A total of 405 908 nulliparous term singleton vertex births during 2010-2012. METHODS: Cost of childbirth hospitalisations was compared across hospitals after accounting for differences in patient clinical risk factors. Relative contributions of patient sociodemographic, obstetric intervention, birth attendant and institutional characteristics to variation in cost were assessed by further adjusting for these factors in hierarchical generalised linear models. MAIN OUTCOME MEASURES: Cost of childbirth hospitalisation. RESULTS: Median risk-standardised cost of childbirth was $7149 among the hospitals (10th -90th percentile range: $4760-$10,644). Maternal sociodemographic characteristics and type of birth attendant did not explain hospital variation in cost. Adjustment for obstetric interventions overall reduced within-hospital variance by 15.8% (P < 0.001), while adjusting for caesarean delivery alone reduced within-hospital variance by 14.4% (P < 0.001). However, obstetric interventions did not explain between-hospital variation in cost. In contrast, adjustment for institutional characteristics reduced between-hospital variance by 30.3% (P = 0.002). Hospital type of ownership, teaching/urban-rural status, neonatal care capacity and geographic region were most impactful. Risk-standardised cost was positively correlated with risk-standardised rate of severe newborn morbidities (correlation coefficient 0.22, P = 0.001), but not associated with risk-standardised rate of severe maternal morbidities. CONCLUSIONS: Cost of childbirth hospitalisations varied widely among hospitals in California. Institutional characteristics significantly contributed to this variation. Higher-cost hospitals did not have better outcomes, suggesting potential opportunities to enhance value in care. TWEETABLE ABSTRACT: Hospitals vary in cost of childbirth. Institutional characteristics significantly contribute to the variation.

Evaluating the cost-effectiveness of prenatal surgery for myelomeningocele: a decision analysis.

OBJECTIVE: To determine whether prenatal myelomeningocele repair is a cost-effective strategy compared to postnatal repair. METHODS: Decision-analysis modeling was used to calculate the cumulative costs, effects and incremental cost-effectiveness ratio of prenatal myelomeningocele repair compared with postnatal repair in singleton gestations with a normal karyotype that were identified with myelomeningocele between T1 and S1. The model accounted for costs and quality-adjusted life years (QALYs) in three populations: (1) myelomeningocele patients; (2) mothers carrying myelomeningocele patients; and (3) possible future siblings of these patients. Sensitivity analysis was performed using one-way, two-way and Monte Carlo simulations. RESULTS: Prenatal myelomeningocele repair saves $ 2 066 778 per 100 cases repaired. Additionally, prenatal surgery results in 98 QALYs gained per 100 repairs with 42 fewer neonates requiring shunts and 21 fewer neonates requiring long-term medical care per 100 repairs. However, these benefits are coupled to 26 additional cases of uterine rupture or dehiscence and one additional case of neurologic deficits in future offspring per 100 repairs. Results were robust in sensitivity analysis. CONCLUSION: Prenatal myelomeningocele repair is cost effective and frequently cost saving compared with postnatal myelomeningocele repair despite the increased likelihood of maternal and future pregnancy complications associated with prenatal surgery.