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The tracking of elective deliveries (ED) prior to 39 gestational weeks has become a mandatory requirement for all hospitals with ≥1,100 deliveries for accreditation by The Joint Commission (TJC); however, the feasibility and accuracy of monitoring efforts remain problematic for many hospitals. Here, we evaluated the feasibility of three operational approaches to tracking ED. We used mixed methods to evaluate the feasibility of 3 different approaches to tracking ED: (1) using administrative data, (2) using electronic medical record (EMR) data, and (3) using targeted data collection in a county-wide quality improvement (QI) effort. For (1), we analyzed data from the California 2009 linked birth cohort dataset, and calculated hospital rates of ED using TJC technical specifications. For (2), we performed a case study of a project that recruited hospitals to provide EMR data for the TJC measure calculation. For (3), we performed a case study of a project that recruited hospitals to prospectively track elective inductions of labor. For (1), hospital discharge data were insufficient without supplementation from the EMR or birth certificate. For (2), legal and operational issues surrounding data sharing, and non-standardized data elements prohibited hospital participation. For (3), the QI approach successfully established policies and data collection systems yet lacked infrastructure to assure sustainability at a hospital or regional level. In summary, ED tracking required the coordination and support of multiple resources to enable hospitals to satisfactorily report on this measure. [ABSTRACT FROM AUTHOR]

Objectives. We examined trends in maternal comorbidities in California. Methods. We conducted a retrospective cohort study of 1 551 017 California births using state-linked vital statistics and hospital discharge cohort data for 1999, 2002, and 2005. We used International Classification of Diseases, Ninth Revision, Clinical Modification codes to identify the following conditions, some of which were preexisting: maternal hypertension, diabetes, asthma, thyroid disorders, obesity, mental health conditions, substance abuse, and tobacco use. We estimated prevalence rates with hierarchical logistic regression models, adjusting for demographic shifts, and also examined racial/ethnic disparities. Results. The prevalence of these comorbidities increased over time for hospital admissions associated with childbirth, suggesting that pregnant women are getting sicker. Racial/ethnic disparities were also significant. In 2005, maternal hypertension affected more than 10% of all births to non-Hispanic Black mothers; maternal diabetes affected nearly 10% of births to Asian/Pacific Islander mothers (10% and 43% increases, respectively, since 1999). Chronic hypertension, diabetes, obesity, mental health conditions, and tobacco use among Native American women showed the largest increases. Conclusions. The prevalence of maternal comorbidities before and during pregnancy has risen substantially in California and demonstrates racial/ethnic disparity independent of demographic shifts. [ABSTRACT FROM AUTHOR]

Background: Under value-based payment programs, patient-reported experiences and outcomes can impact hospital and physician revenue. To enable obstetrical providers to improve the childbirth experience, a framework for understanding what women expect and desire during childbirth is needed.Objective: The purpose of this study was to identify key predictors of childbirth hospital satisfaction with the use of the Childbirth Experiences Survey.Study Design: This study builds on a larger effort that used Patient-Reported Outcomes Management Information System methods to develop a childbirth-specific preliminary patient-reported experiences and outcomes item bank. These efforts led to the development of an antepartum and postpartum survey (Childbirth Experiences Survey Parts 1 and 2). All phases of the study were conducted with the participation of a community-based research team. We conducted a prospective observational study using national survey response panels that was organized through Nielsen to identify women's antepartum values and preferences for childbirth (Childbirth Experiences Survey Part 1). Eligible participants were pregnant women in the United States (English or Spanish speaking) who were ≥18 years old and ≥20 weeks pregnant. Women were recontacted and invited to participate in a postpartum follow-up survey to collect information about their childbirth patient-reported experiences and outcomes, which included childbirth satisfaction (Childbirth Experiences Survey Part 2). In bivariate analyses, we tested whether predisposing conditions (eg, patient characteristics or previous experiences), values and preferences, patient-reported experiences and outcomes, and the "gaps" between values and preferences and patient-reported experiences and outcomes were predictors of women's satisfaction with hospital childbirth services. Multivariable logistic regression models were fitted to examine the simultaneous effect of predictors on hospital satisfaction, which were adjusted for key predisposing conditions.Results: From 500 women who anticipated a vaginal delivery at the time of the antepartum survey, who labored before delivery, and who answered the postpartum survey, key findings included the following responses: (1) the strongest predictors of women's satisfaction with hospital childbirth services were items in the domains of staff communication, compassion, empathy, and respect, and (2) 23 childbirth-specific patient-reported experiences and outcomes were identified. Examples of these patient-reported experiences and outcomes (such as being told about progress in labor and being involved in decisions regarding labor pain management) appeared especially relevant to women who experienced childbirth. A final model that predicted women's satisfaction with hospital childbirth services included a total of 8 items that could be optimized by doctors, midwives, and hospitals. These included the patient's report of how well she coped with labor pain, whether the hospital provided adequate space and food for their support person, and whether she received practical support for feeding the newborn infant.Conclusion: This study identified 23 childbirth-specific patient-reported experiences and outcomes that were predictors of childbirth hospital satisfaction. The implementation of the Childbirth Experiences Survey Parts 1 and 2 in a multihospital setting may lead to the development of childbirth hospital performance measures and strategies for improvement of the childbirth experience. [ABSTRACT FROM AUTHOR]