Measuring Childbirth Outcomes Using Administrative and Birth Certificate Data
| Autor: | Marjorie Gloff, Timothy P. Stevens, A.W. Dick, Steve Hasley, Laurent G. Glance, Eric Faden, Sonia G. Pyne, J.C. Glantz, Richard N. Wissler, Melissa Kreso, Jennifer Fichter |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
medicine.medical_specialty Adolescent MEDLINE Birth certificate California Infant Newborn Diseases Obstetric care Young Adult 03 medical and health sciences 0302 clinical medicine Pregnancy Infant Mortality medicine Humans Childbirth Maternal health 030212 general & internal medicine Young adult 030219 obstetrics & reproductive medicine business.industry Infant Newborn Infant Puerperal Disorders Middle Aged Delivery Obstetric medicine.disease Infant mortality Maternal Mortality Anesthesiology and Pain Medicine Birth Certificates Family medicine Female business |
| Zdroj: | Anesthesiology. 131:238-253 |
| ISSN: | 0003-3022 |
| DOI: | 10.1097/aln.0000000000002759 |
| Popis: | Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New Background The number of pregnancy-related deaths and severe maternal complications continues to rise in the United States, and the quality of obstetrical care across U.S. hospitals is uneven. Providing hospitals with performance feedback may help reduce the rates of severe complications in mothers and their newborns. The aim of this study was to develop a risk-adjusted composite measure of severe maternal morbidity and severe newborn morbidity based on administrative and birth certificate data. Methods This study was conducted using linked administrative data and birth certificate data from California. Hierarchical logistic regression prediction models for severe maternal morbidity and severe newborn morbidity were developed using 2011 data and validated using 2012 data. The composite metric was calculated using the geometric mean of the risk-standardized rates of severe maternal morbidity and severe newborn morbidity. Results The study was based on 883,121 obstetric deliveries in 2011 and 2012. The rates of severe maternal morbidity and severe newborn morbidity were 1.53% and 3.67%, respectively. Both the severe maternal morbidity model and the severe newborn models exhibited acceptable levels of discrimination and calibration. Hospital risk-adjusted rates of severe maternal morbidity were poorly correlated with hospital rates of severe newborn morbidity (intraclass correlation coefficient, 0.016). Hospital rankings based on the composite measure exhibited moderate levels of agreement with hospital rankings based either on the maternal measure or the newborn measure (κ statistic 0.49 and 0.60, respectively.) However, 10% of hospitals classified as average using the composite measure had below-average maternal outcomes, and 20% of hospitals classified as average using the composite measure had below-average newborn outcomes. Conclusions Maternal and newborn outcomes should be jointly reported because hospital rates of maternal morbidity and newborn morbidity are poorly correlated. This can be done using a childbirth composite measure alongside separate measures of maternal and newborn outcomes. |
| Databáze: | OpenAIRE |
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