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Objective: To use population data to identify patient characteristics associated with a postpartum maternal emergency department visit within 90 days of discharge after birth.Methods: This retrospective cross-sectional study analyzed linked maternal discharge and emergency department data for all live California births from 2009 to 2011. The primary outcome was at least one emergency department visit within 90 days of hospital discharge after birth. Secondary outcomes included three or more visits within 90 days ("high utilization") and inpatient readmission. Independent variables included demographics (age, race or ethnicity, payer, income) and clinical characteristics (length of stay, antepartum complications, mode of delivery, and severe maternal morbidity at delivery). Multilevel logistic regression identified variables associated study outcomes; we validated the predictive model with a split-sample approach and receiver operating characteristic curve analysis.Results: Of 1,071,232 deliveries included, 88,674 women (8.3%) visited the emergency department at least once in the 90 days after delivery discharge. Emergency department use was significantly associated with Medicaid insurance (adjusted odds ratio [OR] 2.15, 95% CI 2.08-2.21), age younger than 20 years (adjusted OR 2.08, 95% CI 1.98-2.19), severe maternal morbidity at delivery (adjusted OR 1.58, 95% CI 1.49-1.71), antepartum complications (adjusted OR 1.46, 95% CI 1.42-1.50), and cesarean delivery (adjusted OR 1.40, 95% CI 1.37-1.44). Approximately one fifth of visits occurred within 4 days of discharge, and more than half were within 3 weeks. High utilizers comprised 0.5% of the entire sample (5,171 women) and only 1.2% of women presenting for emergency department care were readmitted. Receiver operating curve model analysis using the validation sample supported predictive accuracy for postpartum emergency department use (area under the curve=0.95).Conclusion: One in 12 California women visited the emergency department in the first 90 days after postpartum discharge. Women at increased risk for postpartum emergency department use per our validated model (eg, low income, birth complications) may benefit from earlier scheduled postpartum visits. [ABSTRACT FROM AUTHOR]

Objectives The goals of interconception care are to optimize women's health and encourage adequate spacing between pregnancies. Our study calculated trends in interpregnancy interval (IPI) patterns and measured the association of differing intervals with birth outcomes in California. Methods Women with 'non-first birth' deliveries in California hospitals from 2007 to 2009 were identified in a linked birth certificate and patient discharge dataset and divided into three IPI birth categories: <6, 6-17, and 18-50 months. Trends over the study period were tested using the Cochran-Armitage two-sided linear trend test. Chi square tests were used to test the association between IPI and patient characteristics and selected singleton adverse birth outcomes. Results Of 645,529 deliveries identified as non-first births, 5.6 % had an IPI <6 months, 33.1 % had an IPI of 6-17 months, and 61.3 % had an IPI of 18-50 months. The prevalence of IPI <6 months declined over the 3-year period (5.8 % in 2007 to 5.3 % in 2009, trend p value <0.0001).Women with an IPI <6 months had a significantly higher prevalence of early preterm birth (<34 weeks), low birthweight (<2500 g), neonatal complications, neonatal death and severe maternal complications than women with a 6-17 month or 18-50 month IPI (p < 0.005). Comparing those with a 6-17 month vs 18-50 month IPI, there were increased early preterm births and decreased maternal complications, complicated delivery, and stillbirth/intrauterine fetal deaths among those with a shorter IPI. Conclusions for Practice In California, women with an IPI <6 months were at increased risk for several birth outcomes, including composite morbidity measures. [ABSTRACT FROM AUTHOR]

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]

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 We propose a methodology for identifying and analysing 'elective' preterm births ( PTBs) using administrative data, and apply this methodology to California data with the objective of providing a framework to further explore the potential rationales for early delivery. Methods Using the California linked birth cohorts for 1999, 2002 and 2005, singleton PTBs were identified using birth certificate gestational age ≥ 24 and <37 weeks. Through a hierarchical scheme that first removed cases with standard or 'hard' indications for early delivery (e.g. severe preeclampsia, placenta previa), cases of 'elective' PTB were identified with coding for medical intervention, that is, elective caesarean or labour induction. We calculated rates of elective PTB, with subanalyses of early (<34 weeks of gestational age) and late PTB (34 to <37 weeks of gestational age) using hierarchical logistic regression models. Results Of 1 387 565 singleton deliveries, 99 614 (7.2%) were preterm. Elective PTBs increased 27.7% over the 6-year study period, with nearly all cases confined to the late PTB stratum; elective late PTB rates rose from 10.5% to 13.5% of all late PTBs ( P < 0.0001). Indications for delivery in this Elective Group ('soft indications') included prior pelvic floor repair, mental health conditions, fetal anomalies, malpresentation and oligohydramnios. Six per cent of patients with a late PTB had a medical intervention with no hard or soft indication for delivery. Conclusions Using administrative data, we developed a method for identifying and trending the proportion of PTBs that is 'elective'. This method can be used to explore and monitor potential strategies for the prevention of elective PTB. [ABSTRACT FROM AUTHOR]

OBJECTIVE: This study tested multivariate models exploring unit-level predictors of medication administration (MA) accuracy. BACKGROUND: During MA, nurses are both the last line of defense from medication-related errors and a potential perpetrator of error. Direct observation reveals safe practices and the accuracy of medication delivery. METHODS: Using a direct-observation, cross-sectional design, data submitted by 124 adult patient care units for 15 600 medication doses, from January 2009 to April 2010, were studied. RESULTS: Distractions and interruptions were the most common safe practice deviation. Characteristics of patient care units and RN hours of care affected nurses' safe practices and MA accuracy. Safe practices predict and mediate MA accuracy. A 5% decrease in safe practice deviations would reduce MA errors by 46% without any change in RN hours of care. CONCLUSION: Nurses' adherence to MA safe practices, combined with unit characteristics and staffing factors, has the potential to dramatically improve MA accuracy. [ABSTRACT FROM AUTHOR]

The study determines whether hospital-specific rates of gestational pyelonephritis may serve as a measure of the quality of ambulatory maternal care services in California. The rates of preterm birth and congenital neonatal infection were higher among pregnant women with pyelonephritis. Pregnant women on MediCal as payer have a higher risk because poverty may indirectly make them more physiologically vulnerable or because they receive suboptimal care.

OBJECTIVE: Predictive models for falls, injury falls, and restraint prevalence were explored within nursing unit structures and processes of care. BACKGROUND: The patient care team is responsible for patient safety, and improving practice models may prevent injuries and improve patient safety. METHODS: Using unit-level self-reported data from 215 hospitals, falls, injury falls, and restraint prevalence were modeled with significant covariates as predictors. RESULTS: Fewer falls/injury falls were predicted by populations with fewer frail and at-risk patients, more unlicensed care hours, and prevention protocol implementation, but not staffing per se, restraint use, or RN expertise. Lower restraint use was predicted by fewer frail patients, shorter length of stay, more RN hours, more certified RNs, and implementation of fall prevention protocols. CONCLUSION: In the presence of risk, patient injuries and safety were improved by optimizing staffing skill mix and use of prevention protocols. [ABSTRACT FROM AUTHOR]

This article examines the impact of mandated nursing ratios in California on key measures of nursing quality among adults in acute care hospitals. This study is a follow-up and extension of our first analysis exploring nurse staffing and nursing-sensitive outcomes comparing 2002 pre-ratios regulation data to 2004 post-ratios regulation data. For the current study we used postregulation ratios data from 2004 and 2006 to assess trends in staffing and outcomes. Findings for nurse staffing affirmed the trends noted in 2005 and indicated that changes in nurse staffing were consistent with expected increases in the proportion of licensed staff per patient. This report includes an exploratory examination of the relationship between staffing and nursing-sensitive patient outcomes. However anticipated improvements in nursing-sensitive patient outcomes were not observed. This report contributes to the growing understanding of the impacts of regulatory staffing mandates on hospital operations and patient outcomes. [ABSTRACT FROM AUTHOR]