Society for Maternal-Fetal Medicine (SMFM) Special Report: Current approaches to measuring quality of care in obstetrics

Obstetrics and Gynecologic Hospitalists and Their Focus: Impact on Safety and Quality Metrics

Obstetrics and gynecologic hospitalists play a pivotal role in the evolution of perinatal care. Hospitalists improve patient safety by providing on-site, reliable, high-quality care. Hospitalists help to reduce the rates of unnecessary cesarean deliveries and increase the rates of vaginal deliveries.

Comparison of Cesarean Deliveries in a Multicenter U.S. Cohort Using the 10-Group Classification System

OBJECTIVE

We sought to (1) use the Robson 10-Group Classification System (TGCS), which classifies deliveries into 10 mutually exclusive groups, to characterize the groups that are primary contributors to cesarean delivery frequencies, (2) describe inter-hospital variations in cesarean delivery frequencies, and (3) evaluate the contribution of patient characteristics by TGCS group to hospital variation in cesarean delivery frequencies.

STUDY DESIGN

This was a secondary analysis of an observational cohort of 115,502 deliveries from 25 hospitals between 2008 and 2011. The TGCS was applied to the cohort and each hospital. We identified and compared the TGCS groups with the greatest relative contributions to cohort and hospital cesarean delivery frequencies. We assessed variation in hospital cesarean deliveries attributable to patient characteristics within TGCS groups using hierarchical logistic regression.

RESULTS

A total of 115,211 patients were classifiable in the TGCS (99.7%). The cohort cesarean delivery frequency was 31.4% (hospital range: 19.1-39.3%). Term singletons in vertex presentation with a prior cesarean delivery (group 5) were the greatest relative contributor to cohort (34.8%) and hospital cesarean delivery frequencies (median: 33.6%; range: 23.8-45.5%). Nulliparous term singletons in vertex (NTSV) presentation (groups 1 [spontaneous labor] and 2 [induced or absent labor]: 28.9%), term singletons in vertex presentation with a prior cesarean delivery (group 5: 34.8%), and preterm singletons in vertex presentation (group 10: 9.8%) contributed to 73.2% of the relative cesarean delivery frequency for the cohort and were correlated with hospital cesarean delivery frequencies (Spearman's rho = 0.96). Differences in patient characteristics accounted for 34.1% of hospital-level cesarean delivery variation in group 2.

CONCLUSION

The TGCS highlights the contribution of NTSV presentation to cesarean delivery frequencies and the impact of patient characteristics on hospital-level variation in cesarean deliveries among nulliparous patients with induced or absent labor.

KEY POINTS

· We report on the cesarean delivery frequencies in a multicenter U.S.

COHORT

. · NTSV gestations (groups 1 and 2) are a primary driver of cesarean deliveries.. · Patient characteristics contributed most to hospital variation in cesarean deliveries in group 2..

Society for Maternal-Fetal Medicine Special Statement: Clinical quality measures in obstetrics

This article provides an updated overview and critique of clinical quality measures relevant to obstetrical care. The history of the quality movement in the United States and the proliferation of quality metrics over the past quarter-century are reviewed. Common uses of quality measures are summarized: payment programs, accreditation, public reporting, and quality improvement projects. We present listings of metrics that are reported by physicians or hospitals, either voluntarily or by mandate, to government agencies, payers, "watchdog" ratings organizations, and other entities. The costs and other burdens of extracting data and reporting metrics are summarized. The potential for unintended adverse consequences of the use of quality metrics is discussed along with approaches to mitigating adverse consequences. Finally, some recent attempts to develop simplified core measure sets are presented, with the promise that the complex and burdensome quality-metric enterprise may improve in the near future.

Association of Insomnia with 30-Day Postpartum Readmission: A Retrospective Analysis

Insomnia is prevalent in pregnancy and is associated with increased use of health services. We aimed to evaluate the association between insomnia diagnosed at the delivery hospitalization and risk of 30-day postpartum readmission. We conducted a retrospective analysis of inpatient hospitalizations from the 2010-2019 Nationwide Readmissions Database. The primary exposure was a coded diagnosis of insomnia at delivery as determined by ICD-9-CM and ICD-10-CM codes. Obstetric comorbidities and indicators of severe maternal morbidity were also determined through coding. The primary outcome was all-cause 30-day postpartum readmission. Survey-weighted logistic regression was used to generate crude and adjusted odds ratios representing the association between maternal insomnia and postpartum readmission. Of over 34 million delivery hospitalizations, 26,099 (7.6 cases per 10,000) had a coded diagnosis of insomnia. People with insomnia experienced a 3.0% all-cause 30-day postpartum readmission rate, compared to 1.4% among those without insomnia. After controlling for sociodemographic, clinical, and hospital-level factors, insomnia was associated with 1.64 times higher odds of readmission (95% CI 1.47-1.83). After adjustment for obstetric comorbidity burden and severe maternal morbidity, insomnia was independently associated with 1.33 times higher odds of readmission (95% CI 1.18-1.48). Pregnant patients with insomnia have higher rates of postpartum readmission, and diagnosis of insomnia is independently associated with increased odds of readmission. Additional postpartum support may be warranted for pregnancies affected by insomnia.

Society for Maternal-Fetal Medicine Special Statement: Telemedicine in obstetrics-quality and safety considerations

The frequency of telemedicine encounters has increased dramatically in recent years. This review summarizes the literature regarding the safety and quality of telemedicine for pregnancy-related services, including prenatal care, postpartum care, diabetes mellitus management, medication abortion, lactation support, hypertension management, genetic counseling, ultrasound examination, contraception, and mental health services. For many of these, telemedicine has several potential or proven benefits, including expanded patient access, improved patient satisfaction, decreased disparities in care delivery, and health outcomes at least comparable to those of traditional in-person encounters. Considering these benefits, it is suggested that payers should reimburse providers at least as much for telemedicine as for in-person services. Areas for future research are considered.

Society for Maternal-Fetal Medicine Special Statement: Curriculum outline on patient safety and quality for maternal-fetal medicine fellows

To help fellows in maternal-fetal medicine gain a well-rounded education in patient safety and quality, we present a curriculum outline that addresses the requirements of the Accreditation Council for Graduate Medical Education and the American Board of Obstetrics and Gynecology. For each month of fellowship, the outline suggests brief video clips, readings, and activities. Emphasis is placed on helping fellows develop and complete a quality improvement project. If desired, the curriculum can be modified to fit program-specific needs and can be adapted for use with residents in obstetrics and gynecology.

Society for Maternal-Fetal Medicine Special Statement: A quality metric for evaluating timely treatment of severe hypertension

Severe hypertension in pregnancy is a medical emergency. Although expeditious treatment within 30 to 60 minutes is recommended to reduce the risk of maternal death or severe morbidity, treatment is often delayed by >1 hour. In this statement, we propose a quality metric that facilities can use to track their rates of timely treatment of severe hypertension. We encourage facilities to adopt this metric so that future reports from different facilities will be based on a uniform definition of timely treatment.

Association between hospital-level cesarean delivery rates and severe maternal morbidity and unexpected newborn complications

BACKGROUND

Although there are many indications for a cesarean delivery, the "optimal" cesarean delivery rate is unknown. Neonatal and maternal morbidity have largely not been considered in the generation of hospital-level cesarean delivery rate targets.

OBJECTIVE

We sought to examine if the widely adopted and reported markers of maternal and neonatal morbidity were associated with hospital cesarean delivery rates to provide context for potential comparison and consideration for defining cesarean delivery rate targets. We hypothesized that hospitals with higher cesarean delivery rates would have increased rates of severe maternal morbidity, though we were less certain of the associations of the cesarean delivery rates with unexpected newborn complications.

STUDY DESIGN

This is a cross-sectional, ecological study using data from the 2016 Nationwide Readmission Database of hospitals with at least 100 deliveries per year. The exposure of interest was hospital cesarean delivery rate. The outcomes were (1) severe maternal morbidity with and without transfusion-in accordance with the Centers for Disease Control and Prevention's definition, and (2) neonatal morbidity-defined using The Joint Commission's Perinatal Quality metric of moderate and severe unexpected newborn complications among term, singleton, and nonanomalous neonates. Before assuming a single linear relationship to model the associations between morbidity and cesarean delivery rates, the Joinpoint Regression Analysis program was used to examine for potential splines in the relationships with both severe maternal morbidity (with and without transfusion) and severe and moderate unexpected newborn complications. Poisson regression model was then used to determine the association between morbidity and cesarean delivery rates.

RESULTS

The analysis included 831,111 deliveries from 621 hospitals. The mean cesarean delivery rate was 30.5%. The median severe maternal morbidity rate was 1.40 per 100 deliveries (interquartile range, 0.71-2.21 per 1000 deliveries). Excluding transfusion, the median severe maternal morbidity rate was 0.47 per 100 deliveries (interquartile range, 0.22-0.73 per 100 deliveries). The median rate of severe and moderate unexpected newborn complications was 1.01 per 100 low-risk newborns (interquartile range, 0.64-1.69 per 100 low-risk newborns) and 1.79 per 1000 low-risk newborns (interquartile range, 0.94-2.93 per 100 low-risk newborns), respectively. In the unadjusted analysis, every percentage point increase in a hospital's cesarean delivery rate was associated with a 3.4% (95% confidence interval, 2.3%-4.4%) and a 2.3% (95% confidence interval, 1.0%-3.5%) increase in severe maternal morbidity including and excluding transfusion, respectively. After adjustment for the case mix and hospital factors, only the relationship with severe maternal morbidity including transfusion remained significant: 3.3% (95% confidence interval, 1.7%-4.9%) increase in severe maternal morbidity per 1 percentage point increase in the cesarean delivery rate. There was no observed association between cesarean delivery rates and unexpected newborn complications CONCLUSION: Severe maternal morbidity and unexpected newborn complications occur in fewer than 5 in 100 births. Findings from this analysis of hospitals with cesarean delivery rates ranging from 6.8%-56.3% suggest that those with lower cesarean delivery rates have lower severe maternal morbidity (which includes transfusion) and similar unexpected newborn complications compared with hospitals with higher cesarean delivery rates. This work may provide a helpful context to providers, hospitals, and policymakers who are measuring and reporting outcomes. Regarding neonatal morbidity in particular, the Joint Commission manual notes that the unexpected newborn complication metric was specifically designed to be compared against maternal-focused metrics such as cesarean delivery rates. More work is needed to define and identify appropriate measures of maternal and neonatal morbidity for these types of comparisons.

Perinatal Quality and Equity-Indicators That Address Disparities

There is tremendous attention in maternal and neonatal disparities, particularly disparities of race and ethnicity and subsequent outcomes that continue despite calls to action. The literature has offered potential opportunities for exploring data related to racial and ethnic disparities, including the utilization of a race and ethnicity reporting dashboard. This article reviews definitions of perinatal quality and disparity and provides insight into the development of a nationally targeted race and ethnicity dashboard. This quarterly dashboard provides hospitals with specific key metric outcomes through the lens of race and ethnicity, provides a national benchmark for comparison, and creates a data platform for team exploration and comprehensive review of findings. An overview of the development of the dashboard is provided, and the selection of key maternal and neonatal metrics is reviewed. In addition, recommendations for data science strategic planning and nursing's role in metric development, analysis, and utilization are offered and key steps in accelerating disparity data into everyday clinical care are discussed.

Patient and Hospital Factors Associated With Unexpected Newborn Complications Among Term Neonates in US Hospitals

IMPORTANCE

Unexpected complications in term newborns have been recently adopted by the Joint Commission as a marker of obstetric care quality.

OBJECTIVE

To understand the variation and patient and hospital factors associated with severe unexpected complications in term neonates among hospitals in the United States.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study collected data from all births in US counties with 1 obstetric hospital using county-identified birth certificate data and American Hospital Association annual survey data from January 1, 2015, through December 31, 2017. All live-born, term, singleton infants weighing at least 2500 g were included. The data analysis was performed from December 1, 2018, through June 30, 2019.

EXPOSURES

Severe unexpected newborn complication, defined as neonatal death, 5-minute Apgar score of 3 or less, seizure, use of assisted ventilation for at least 6 hours, or transfer to another facility.

MAIN OUTCOMES AND MEASURES

Between-hospital variation and patient and hospital factors associated with unexpected newborn complications.

RESULTS

A total of 1 754 852 births from 576 hospitals were included in the analysis. A wide range of hospital complication rates was found (range, 0.6-89.9 per 1000 births; median, 15.3 per 1000 births [interquartile range, 9.6-22.0 per 1000 births]). Hospitals with high newborn complication rates were more likely to care for younger, white, less educated, and publicly insured women with more medical comorbidities compared with hospitals with low complication rates. In the adjusted models, there was little effect of case mix to explain the observed between-county variation (11.3%; 95% CI, 10.0%-12.6%). Neonatal transfer was the primary factor associated with complication rates, especially among hospitals with the highest rates (66.0% of all complications). The risk for unexpected neonatal complication increased by more than 50% for those neonates born at hospitals without a neonatal intensive care unit compared with those with a neonatal intensive care unit (adjusted odds ratio, 1.55; 95% CI, 1.38-1.75).

CONCLUSIONS AND RELEVANCE

In this study, severe unexpected complication rates among term newborns varied widely. When included in the metric numerator, neonatal transfer was the primary factor associated with complications, especially among hospitals with the highest rates. Transfers were more likely to be necessary when infants were born in hospitals with lower levels of neonatal care. Thus, if this metric is to be used in its current form, it would appear that accreditors, regulatory bodies, and payers should consider adjusting for or stratifying by a hospital's level of neonatal care to avoid disincentivizing against appropriate transfers.

Institutional prevalence of class III obesity modifies risk of adverse obstetrical outcomes

BACKGROUND

Women with prepregnancy class III obesity (body mass index ≥40 kg/m²) are at an increased risk of perinatal complications and adverse obstetrical outcomes. Estimates of the magnitude of risk that these women face vary widely, which may reflect differences in institutional experience caring for women with obesity.

OBJECTIVE

We sought to characterize the relationship between institutional prevalence of prepregnancy class III obesity and the risk of adverse perinatal outcomes among these women, hypothesizing that higher-prevalence institutions would have lower rates of adverse maternal and perinatal outcomes among this population.

STUDY DESIGN

We conducted a retrospective cohort study using chart-abstracted data on births in Washington state from Jan. 1, 2012, to Dec. 31, 2017. The analysis was restricted to hospitals that delivered at least 1 patient per month with prepregnancy class III obesity. Institutional prevalence of prepregnancy class III obesity was calculated, and hospitals were classified as either high or low prevalence. We included nulliparous women with vertex-presenting singleton pregnancies at ≥37 weeks of gestation. We excluded births with missing initial body mass index. The primary outcome was the incidence of cesarean delivery. Secondary outcomes were induction of labor, postpartum complications, postpartum readmission, and neonatal intensive care unit admissions. We compared outcomes between women with prepregnancy class III and all obesity at high- and low-prevalence hospitals using the χ² test or the Fishers exact test as appropriate. Binary logistic regression was performed to compare outcomes at high- and low-prevalence hospitals. A hospital-adjusted multivariable regression model that controlled for baseline institutional rates of each outcome and compared outcomes between high- and low-prevalence hospitals was developed. A final multivariable logistic regression that controlled for both baseline institutional variation as well as potential clinical confounders was performed.

RESULTS

A total of 20,556 women at 6 hospitals were eligible for inclusion; the prevalence of prepregnancy class III obesity was 6.2% and 2.1% in high- and low-prevalence hospitals, respectively. Obese women, including those with class III obesity in a high-prevalence hospital, were more likely to be Latina and less likely to be of advanced maternal age and carry private insurance. After adjusting for the institutional cesarean delivery rate, women with prepregnancy class III obesity had significantly increased odds of cesarean delivery (odds ratio, 1.53, 95% confidence interval, 1.12-2.10); however, after adjusting for significant covariates, the association no longer achieved significance (odds ratio, 1.68, 95% confidence interval, 0.97-2.94). The hospital-adjusted odds of postpartum readmission were significantly increased for women with prepregnancy class III obesity when delivering in low-prevalence institutions (odds ratio, 6.61, 95% confidence interval, 1.93-22.56), and the association was further strengthened after controlling for significant covariates (odds ratio, 15.20, 95% confidence interval, 2.32-99.53). None of the models demonstrated significantly different odds of induction of labor, postpartum complications, or neonatal intensive care unit admission by institutional prevalence of prepregnancy class III obesity.

CONCLUSION

Even after controlling for underlying hospital and subject characteristics, women with prepregnancy class III obesity had significantly increased odds of postpartum readmission, and a trend toward increased odds of cesarean delivery, when delivering in institutions with less experience caring for women with obesity.

Accuracy of patient perceptions of maternity facility quality and the choice of providers in Nairobi, Kenya: a cohort study

OBJECTIVES

This study aimed to assess the accuracy of pregnant women's perceptions of maternity facility quality and the association between perception accuracy and the quality of facility chosen for delivery.

DESIGN

A cohort study.

SETTING

Nairobi, Kenya.

PARTICIPANTS

180 women, surveyed during pregnancy and 2 to 4 weeks after delivery.

PRIMARY OUTCOME MEASURES

Women were surveyed during pregnancy regarding their perceptions of the quality of all facilities they were considering during delivery and then, after delivery, about their ultimate facility choice. Perceptions of quality were based on perceived ability to handle emergencies and complications. Delivery facilities were assigned a quality index score based on a direct assessment of performance of emergency 'signal functions', skilled provider availability, medical equipment and drug stocks. 'Accurate perceptions' was a binary variable equal to one if a woman's ranking of facilities based on her quality perception equalled the index ranking. Ordinary least squares and logistic regressions were used to analyse associations between accurate perceptions and quality of the facility chosen for delivery.

RESULTS

Assessed technical quality was modest, with an average index score of 0.65. 44% of women had accurate perceptions of quality ranking. Accurate perceptions were associated with a 0.069 higher delivery facility quality score (p=0.039; 95% CI: 0.004 to 0.135) and with a 14.5% point higher probability of delivering in a facility in the top quartile of the quality index (p=0.015; 95% CI: 0.029 to 0.260).

CONCLUSIONS

Patient misperceptions of technical quality were associated with use of lower quality facilities. Larger studies could determine whether improving patient information about relative facility quality can encourage use of higher quality care.

Unexpected term NICU admissions: a marker of obstetrical care quality?

BACKGROUND

Unexpected admissions of term neonates to the neonatal intensive care unit and unexpected postnatal complications have been proposed as neonatal-focused quality metrics for intrapartum care. Previous studies have noted significant variation in overall hospital neonatal intensive care unit admission rates; however, little is known about the influence of obstetric practices on these rates or whether variation among unanticipated admissions in low-risk, term neonates can be attributed to systemic hospital practices.

OBJECTIVE

The objective of the study was to examine the relative effects of patient characteristics and intrapartum events on unexpected neonatal intensive care unit admissions and to quantify the between-hospital variation in neonatal intensive care unit admission rates among this group of neonates.

STUDY DESIGN

We performed a retrospective cross-sectional study using data collected as part of the Consortium for Safe Labor study. Women who delivered term (≥37 weeks), singleton, nonanomalous, liveborn infants without an a priori risk for neonatal intensive care unit admission were included. The primary outcome was neonatal intensive care unit admission among this population. Multilevel mixed-effect models were used to calculate adjusted odds ratios for demographics (age, race, insurer), pregnancy characteristics (parity, gestational age, tobacco use, birthweight), maternal comorbidities (chronic and pregnancy-induced hypertension), hospital characteristics (delivery volume, hospital and neonatal intensive care unit level, academic affiliation), and intrapartum events (prolonged second stage, induction of labor, trial of labor after cesarean delivery, chorioamnionitis, meconium-stained amniotic fluid, and abruption). Intraclass correlation coefficients were used to estimate the between-hospital variance in a series of hierarchical models.

RESULTS

Of the 143,951 infants meeting all patient and hospital inclusion criteria, 7995 (5.6%) were admitted to the neonatal intensive care unit after birth. In the fully adjusted model, the factors associated with the highest odds for neonatal intensive care unit admission included: nulliparity (adjusted odds ratio, 1.62 [95% confidence interval, 1.53-1.71]), large for gestational age (adjusted odds ratio, 1.59 [95% confidence interval, 1.47-1.71]), and small for gestational age (adjusted odds ratio, 1.60 [95% confidence interval, 1.47-1.73]). Induction of labor (adjusted odds ratio, 0.95 [95% confidence interval, 0.89-1.01]) was not associated with increased odds of neonatal intensive care unit admission compared with women who labored spontaneously. The events associated with higher odds of neonatal intensive care unit admission included: prolonged second stage (adjusted odds ratio, 1.66 [95% confidence interval, 1.51-1.83]); chorioamnionitis (adjusted odds ratio, 3.89 [95% confidence interval, 3.42-4.44]), meconium-stained amniotic fluid (adjusted odds ratio, 1.96 [95% confidence interval, 1.82-2.10]), and abruption (adjusted odds ratio, 2.64 [95% confidence interval, 2.16-.21]). Compared with women who did not labor, the odds of neonatal intensive care unit admission were lower for women who labored: adjusted odds ratio, 0.48 (95% confidence interval, 0.45-0.52) for women with no uterine scar and adjusted odds ratio, 0.83 (95% confidence interval, 0.73-0.94) for women with a uterine scar. There was significant variation in neonatal intensive care unit admission rates by hospital, ranging from 2.9% to 11.2%. After accounting for case mix and hospital characteristics, the between-hospital variance was 1.9%, suggesting that little of the variation was explained by the effect of the hospital.

CONCLUSION

This study contributes to the currently limited understanding of term, neonatal intensive care unit admission rates as a marker of obstetrical care quality. We demonstrated that significant variation exists in hospital unexpected neonatal intensive care unit admission rates and that certain intrapartum events are associated with an increased risk for neonatal intensive care unit admission after delivery. However, the between-hospital variation was low. Unmeasured confounders and extrinsic factors, such as neonatal intensive care unit bed availability, may limit the ability of unexpected term neonatal intensive care unit admissions to meaningfully reflect obstetrical care quality.

Monitoring quality of obstetric care from hospital discharge databases: A Delphi survey to propose a new set of indicators based on maternal health outcomes

Objectives

Most indicators proposed for assessing quality of care in obstetrics are process indicators and do not directly measure health effects, and cannot always be identified from routinely available databases. Our objective was to propose a set of indicators to assess the quality of hospital obstetric care from maternal morbidity outcomes identifiable in permanent hospital discharge databases.

Methods

Various maternal morbidity outcomes potentially reflecting quality of obstetric care were first selected from a systematic literature review. Then a three-round Delphi consensus survey was conducted online from 11/2016 through 02/2017 among a French panel of 37 expert obstetricians, anesthetists-critical-care specialists, midwives, quality-of-care researchers, and user representatives. For a given maternal outcome, several definitions could be proposed and the indicator (i.e. corresponding rate) could be applied to all women or restricted to specific subgroup(s).

Results

Of the 49 experts invited to participate, 37 agreed. The response rate was 92% in the second round and 97% in the third. Finally, a set of 13 indicators was selected to assess the quality of hospital obstetric care: rates of uterine rupture, postpartum hemorrhage, transfusion incident, severe perineal lacerations, episiotomy, cesarean, cesarean under general anesthesia, post-cesarean site infection, anesthesia-related complications, postpartum pulmonary embolism, maternal readmission and maternal mortality. Six were considered in specific subgroups, with, for example, the postpartum hemorrhage rate assessed among all women and also among women at low risk of PPH.

Implications

This Delphi process enabled us to define consensually a set of indicators to assess the quality of hospital obstetrics care from routine hospital data, based on maternal morbidity outcomes. Considering 6 of them in specific subgroups of women is especially interesting. These indicators, identifiable through codes used in international classifications, will be useful to monitor quality of care over time and across settings.

Paid Maternity Leave in the United States: Associations with Maternal and Infant Health

Objectives The United States is one of only three countries worldwide with no national policy guaranteeing paid leave to employed women who give birth. While maternity leave has been linked to improved maternal and child outcomes in international contexts, up-to-date research evidence in the U.S. context is needed to inform current policy debates on paid family leave. Methods Using data from Listening to Mothers III, a national survey of women ages 18-45 who gave birth in 2011-2012, we conducted multivariate logistic regression to predict the likelihood of outcomes related to infant health, maternal physical and mental health, and maternal health behaviors by the use and duration of paid maternity leave. Results Use of paid and unpaid leave varied significantly by race/ethnicity and household income. Women who took paid maternity leave experienced a 47% decrease in the odds of re-hospitalizing their infants (95% CI 0.3, 1.0) and a 51% decrease in the odds of being re-hospitalized themselves (95% CI 0.3, 0.9) at 21 months postpartum, compared to women taking unpaid or no leave. They also had 1.8 times the odds of doing well with exercise (95% CI 1.1, 3.0) and stress management (95% CI 1.1, 2.8), compared to women taking only unpaid leave. Conclusions for Practice Paid maternity leave significantly predicts lower odds of maternal and infant re-hospitalization and higher odds of doing well with exercise and stress management. Policies aimed at expanding access to paid maternity and family leave may contribute toward reducing socio-demographic disparities in paid leave use and its associated health benefits.

The relative effects of patient and hospital factors on postpartum readmissions

OBJECTIVE

To determine the relative effects of patient and hospital factors on a hospital's postpartum readmission rate.

STUDY DESIGN

This retrospective cohort study was conducted using State Inpatient Databases from California, Florida, and New York between 2004 and 2013. We compared patient and hospital characteristics among hospitals with low and high readmission rates using χ² tests. Risk-adjusted 30-day readmission rates were calculated for patient, delivery, and hospital characteristics to understand factors affecting readmission using fixed and random effects models.

RESULTS

Patients in hospitals with low readmission rates were more likely to be white, to have private insurance and higher incomes, and to have fewer comorbidities. The patient comorbidities with the highest risk-adjusted readmission rates included hypertension (range, 2.14-3.04%), obesity (1.78-2.94%), preterm labor/delivery (2.50-2.60%), and seizure disorder (1.78-3.35%). Delivery complications were associated with increased risk-adjusted readmission rates. Compared to patient characteristics, hospital characteristics did not have a profound impact on readmission risk.

CONCLUSION

Obstetric readmissions were more attributable to patient and demographic characteristics than to hospital characteristics. Readmission metric-based incentives may ultimately penalize hospitals providing high-quality care due to patient characteristics specific to their catchment area.

Reduction of Peripartum Racial and Ethnic Disparities: A Conceptual Framework and Maternal Safety Consensus Bundle

Racial and ethnic disparities exist in both perinatal outcomes and health care quality. For example, black women are 3 to 4 times more likely to die from pregnancy-related causes and have more than a 2-fold greater risk of severe maternal morbidity than white women. In an effort to achieve health equity in maternal morbidity and mortality, a multidisciplinary workgroup of the National Partnership for Maternal Safety, within the Council on Patient Safety in Women's Health Care, developed a concept article for the bundle on reduction of peripartum disparities. We aimed to provide health care providers and health systems with insight into racial and ethnic disparities in maternal outcomes, the etiologies that are modifiable within a health care system, and resources that can be used to address these etiologies and achieve the desired end of safe and equitable health care for all childbearing women.

Hospital volume and cesarean delivery among low-risk women in a nationwide sample

OBJECTIVE

We sought to determine if hospital delivery volume was associated with a patient's risk for cesarean delivery in low-risk women.

STUDY DESIGN

This study retrospectively examines a cohort of 1 657 495 deliveries identified in the 2013 Nationwide Readmissions Database. Hospitals were stratified by delivery volume quartiles. Low-risk patients were identified using the Society for Maternal-Fetal Medicine definition (n=845 056). A multivariable logistic regression accounting for hospital-level clustering was constructed to assess the factors affecting a patient's odds for cesarean delivery.

RESULTS

The range of cesarean delivery rates was 2.4-51.2% among low-risk patients, and the median was 16.5% (IQR 12.8-20.5%). The cesarean delivery rate was higher in the top two-volume-quartile hospitals (17.4 and 18.2%) compared to the bottom quartiles (16.4 and 16.3%) (P<0.001). Hospital volume was not associated with a patient's odds for cesarean delivery after adjusting for patient and other hospital characteristics (P=0.188).

CONCLUSION

Hospital delivery volume is not an independent predictor of cesarean delivery in this population.

Continuity of care is an important and distinct aspect of childbirth experience: findings of a survey evaluating experienced continuity of care, experienced quality of care and women's perception of labor

Background

To compare experienced continuity of care among women who received midwife-led versus obstetrician-led care. Secondly, to compare experienced continuity of care with a. experienced quality of care during labor and b. perception of labor.

Methods

We conducted a questionnaire survey in a region in the Netherlands in 2014 among 790 women after they gave birth. To measure experienced continuity of care, the Nijmegen Continuity Questionnaire was used. Quality of care during labor was measured with the Pregnancy and Childbirth Questionnaire, and to measure perception of labor we used the Childbirth Perception Scale.

Results

Three hundred twenty five women consented to participate (41%). Of these, 187 women completed the relevant questions in the online questionnaire. 136 (73%) women were in midwife-led care at the onset of labor, 15 (8%) were in obstetrician-led care throughout pregnancy and 36 (19%) were referred to obstetrician-led care during pregnancy. Experienced personal and team continuity of care during pregnancy were higher for women in midwife-led care compared to those in obstetrician-led care at the onset of labor. Experienced continuity of care was moderately correlated with experienced quality of care although not significantly so in all subgroups. A weak negative correlation was found between experienced personal continuity of care by the midwife and perception of labor.

Conclusion

This study suggests that experienced continuity of care depends on the care context and is significantly higher for women who are in midwife-led compared to obstetrician-led care during labor. It will be a challenge to maintain the high level of experienced continuity of care in an integrated maternity care system.

Experienced continuity of care seems to be a distinctive concept that should not be confused with experienced quality of care or perception of labor and should be considered as a complementary aspect of quality of care.

Electronic supplementary material

The online version of this article (10.1186/s12884-017-1615-y) contains supplementary material, which is available to authorized users.

Epidemiology of maternal morbidity and mortality

Maternal morbidity and mortality remains a significant health care concern in the United States, as the rates continue to rise despite efforts to improve maternal health. In 2013, the United States ranked 60th in maternal mortality worldwide. We review the definitions, rates, trends, and top causes of severe maternal morbidity and mortality, as well as risk factors for adverse maternal outcomes. We describe current local and national initiatives in place to reduce maternal morbidity and mortality and offer suggestions for future research.

How do pregnant women use quality measures when choosing their obstetric provider?

BACKGROUND

Given increased public reporting of the wide variation in hospital obstetric quality, we sought to understand how women incorporate quality measures into their selection of an obstetric hospital.

METHODS

We surveyed 6141 women through Ovia Pregnancy, an application used by women to track their pregnancy. We used t tests and chi-square tests to compare response patterns by age, parity, and risk status.

RESULTS

Most respondents (73.2%) emphasized their choice of obstetrician/midwife over their choice of hospital. Over half of respondents (55.1%) did not believe that their choice of hospital would affect their likelihood of having a cesarean delivery. While most respondents (74.9%) understood that quality of care varied across hospitals, few prioritized reported hospital quality metrics. Younger women and nulliparous women were more likely to be unfamiliar with quality metrics. When offered a choice, only 43.6% of respondents reported that they would be willing to travel 20 additional miles farther from their home to deliver at a hospital with a 20 percentage point lower cesarean delivery rate.

DISCUSSION

Women's lack of interest in available quality metrics is driven by differences in how women and clinicians/researchers conceptualize obstetric quality. Quality metrics are reported at the hospital level, but women care more about their choice of obstetrician and the quality of their outpatient prenatal care. Additionally, many women do not believe that a hospital's quality score influences the care they will receive. Presentations of hospital quality data should more clearly convey how hospital-level characteristics can affect women's experiences, including the fact that their chosen obstetrician/midwife may not deliver their baby.

Hospital-Level Variation in Postpartum Readmissions

This study uses obstetric readmission rates from the 2013 National Readmission Database to describe hospital variance in postpartum readmissions and the percentage of variance attributed to hospital factors.