Hospital-Level Variation in Postpartum Readmissions

Postpartum readmission risk: a comparison between stillbirths and live births

BACKGROUND

Stillbirth occurs more commonly among pregnant people with comorbid conditions and obstetrical complications. Stillbirth also independently increases maternal morbidity and imparts a psychosocial hazard when compared with live birth. These distinct needs and burden may increase the risk for postpartum readmission after stillbirth.

OBJECTIVE

This study aimed to examine the risk for maternal postpartum readmission after stillbirth in comparison with live birth and to identify indications for readmission and the associated risk factors.

STUDY DESIGN

This was a retrospective cohort of patients with singleton stillbirths or live births, delivered at ≥20 weeks' gestation, who were identified from the 2019 Nationwide Readmissions Database. The primary outcome was all-cause readmission within 6 weeks of discharge from the childbirth hospitalization. The association between stillbirth (vs live birth) and risk for readmission was assessed using multivariable regression models with adjustment for maternal age, sociodemographic characteristics, maternal and obstetrical conditions, and delivery characteristics. Within the stillbirth group, risk factors for readmission were further examined using multivariable regression. The secondary outcomes included principal indication for readmission (categorized based on principal diagnosis code of the readmission hospitalization) and timing of readmission (number of weeks after childbirth hospitalization). Differences in these secondary outcomes were compared between the stillbirth and live birth groups using chi-square tests. All analyses accounted for the complex sample design to generate nationally representative estimates.

RESULTS

Postpartum readmission occurred in 2.7% of 16,636 patients with stillbirths, whereas it occurred in 1.6% of 2,870,677 patients with live births (unadjusted risk ratio, 1.65; 95% confidence interval, 1.47-1.86). The higher risk for readmission after stillbirth (vs live birth) persisted after adjusting for maternal, obstetrical, and delivery characteristics (adjusted risk ratio, 1.27; 95% confidence interval, 1.11-1.46). The distribution of principal indication for readmission differed after stillbirth and after live birth and included hypertension (30.2% vs 39.5%; unadjusted risk ratio, 0.76; 95% confidence interval, 0.63-0.93), mental health or substance use disorders (6.8% vs 3.6%; unadjusted risk ratio, 1.90; 95% confidence interval, 1.15-3.16), and venous thromboembolism (5.8% vs 2.0%; unadjusted risk ratio, 2.87; 95% confidence interval, 1.60-5.17). Among patients with stillbirths, 56.0% of readmissions occurred within 1 week, 71.8% within 2 weeks, and 88.1% within 4 weeks; the timing of readmission did not differ significantly between the stillbirth and live birth cohorts. Pregestational diabetes (adjusted risk ratio, 1.87; 95% confidence interval, 1.20-2.93), gestational diabetes (adjusted risk ratio, 1.67; 95% confidence interval, 1.03-2.71), hypertensive disorders of pregnancy (adjusted risk ratio, 1.80; 95% confidence interval, 1.31-2.47), obesity (adjusted risk ratio, 1.46; 95% confidence interval, 1.01-2.12), and primary cesarean delivery (adjusted risk ratio, 1.74; 95% confidence interval, 1.17-2.58) were associated with a higher risk for readmission after stillbirth, whereas higher household income was associated with a lower risk for readmission (eg, adjusted risk ratio for income ≥$82,000 vs $1-$47,999, 0.48; 95% confidence interval, 0.30-0.77).

CONCLUSION

When compared with live births, the risk for postpartum readmission was higher after stillbirths, even after adjustment for differences in the patient demographic and clinical characteristics. Readmission for mental health or substance use disorders and venous thromboembolism is more common after stillbirths than after live births.

Predictive Modeling of Hypertension-Related Postpartum Readmission: Retrospective Cohort Analysis

BACKGROUND

Hypertension is the most common reason for postpartum hospital readmission. Better prediction of postpartum readmission will improve the health care of patients. These models will allow better use of resources and decrease health care costs.

OBJECTIVE

This study aimed to evaluate clinical predictors of postpartum readmission for hypertension using a novel machine learning (ML) model that can effectively predict readmissions and balance treatment costs. We examined whether blood pressure and other measures during labor, not just postpartum measures, would be important predictors of readmission.

METHODS

We conducted a retrospective cohort study from the PeriData website data set from a single midwestern academic center of all women who delivered from 2009 to 2018. This study consists of 2 data sets; 1 spanning the years 2009-2015 and the other spanning the years 2016-2018. A total of 47 clinical and demographic variables were collected including blood pressure measurements during labor and post partum, laboratory values, and medication administration. Hospital readmissions were verified by patient chart review. In total, 32,645 were considered in the study. For our analysis, we trained several cost-sensitive ML models to predict the primary outcome of hypertension-related postpartum readmission within 42 days post partum. Models were evaluated using cross-validation and on independent data sets (models trained on data from 2009 to 2015 were validated on the data from 2016 to 2018). To assess clinical viability, a cost analysis of the models was performed to see how their recommendations could affect treatment costs.

RESULTS

Of the 32,645 patients included in the study, 170 were readmitted due to a hypertension-related diagnosis. A cost-sensitive random forest method was found to be the most effective with a balanced accuracy of 76.61% for predicting readmission. Using a feature importance and area under the curve analysis, the most important variables for predicting readmission were blood pressures in labor and 24-48 hours post partum increasing the area under the curve of the model from 0.69 (SD 0.06) to 0.81 (SD 0.06), (P=.05). Cost analysis showed that the resulting model could have reduced associated readmission costs by US $6000 against comparable models with similar F1-score and balanced accuracy. The most effective model was then implemented as a risk calculator that is publicly available. The code for this calculator and the model is also publicly available at a GitHub repository.

CONCLUSIONS

Blood pressure measurements during labor through 48 hours post partum can be combined with other variables to predict women at risk for postpartum readmission. Using ML techniques in conjunction with these data have the potential to improve health outcomes and reduce associated costs. The use of the calculator can greatly assist clinicians in providing care to patients and improve medical decision-making.

Disparities in postpartum readmission by patient- and hospital-level social risk factors in the United States: a retrospective multistate analysis, 2015-2020

BACKGROUND

Postpartum readmission is an area of focus for improving obstetric care and reducing costs. We examined disparities in all-cause 30-day postpartum readmission by patient- and hospital-level factors in the United States.

METHODS

We conducted a retrospective cohort study using 2015-2020 records from the State Inpatient Databases from four states. Generalized linear mixed models were constructed to estimate the effects of individual patient- and hospital-level factors on adjusted odds of 30-day readmission after controlling for confounders. Stratified analyses by delivery and anesthesia type (New York only) and interaction models were performed.

RESULTS

Black mothers were more likely than White mothers to be readmitted within 30-days postpartum (aOR 1.57, 95% CI 1.52 to 1.61). Mothers with public insurance had increased odds of readmission compared with those with private insurance (Medicare: aOR 2.13, 95% CI 1.95 to 2.32; Medicaid: aOR 1.14, 95% CI 1.11 to 1.17). Compared with mothers in the lowest income quartile, those in the highest quartile experienced a 14% lower odds of readmission (aOR 0.86, 95% CI 0.83 to 0.89). There were no significant associations between hospital-level characteristics and readmission. Black mothers were more likely to be readmitted regardless of delivery type and most combinations of delivery and anesthesia type. Black mothers from the highest income quartile were more likely to be readmitted than White mothers from the lowest income quartile.

CONCLUSION

Substantial disparities in 30-day postpartum readmissions by patient-level social factors were observed, particularly amongst Black mothers. Action is needed to address and mitigate disparities in postpartum readmission.

Trends in racial/ethnic disparities in postpartum hospital readmissions in California from 1997 to 2018

BACKGROUND

Postpartum readmission is an important indicator of postpartum morbidity. The likelihood of postpartum readmission is highest for Black individuals. However, it is unclear whether the likelihood of postpartum readmission has changed over time according to race/ethnicity. Little is also known about the factors that contribute to these trends.

OBJECTIVE

This study aimed to: (1) examine trends in postpartum readmission by race/ethnicity, (2) examine if prenatal or clinical factors explain the trends, and (3) investigate if racial/ethnic disparities changed over time.

STUDY DESIGN

We examined trends in postpartum readmission, defined as hospitalization within 42 days after birth hospitalization discharge, using live birth and fetal death certificates linked to delivery discharge records from 10,711,289 births in California from 1997 to 2018. We used multivariable logistic regression models that included year and year-squared (to allow for nonlinear trends), overall and stratified by race/ethnicity, to estimate the annual change in postpartum readmission during the study period, represented by odds ratios and 95% confidence intervals. We then adjusted models for prenatal (eg, patient demographics) and clinical (eg, gestational age, mode of birth) factors. To determine whether racial/ethnic disparities changed over time, we calculated risk ratios for 1997 and 2018 by comparing the predicted probabilities from the race-specific, unadjusted logistic regression models.

RESULTS

The overall incidence of postpartum readmission was 10 per 1000 births (17.4/1000 births for non-Hispanic Black, 10/1000 for non-Hispanic White, 7.9/1000 for non-Hispanic Asian/Pacific Islander, and 9.6/1000 for Hispanic individuals). Odds of readmission increased for all groups during the study period; the increase was greatest for Black individuals (42% vs 21%-29% for the other groups). After adjustment for prenatal and clinical factors, the increase in odds was similar for Black and White individuals (12%). The disparity in postpartum readmission rates relative to White individuals increased for Black individuals (risk ratio, 1.68 in 1997 and 1.90 in 2018) and more modestly for Hispanic individuals (risk ratio, 1.02 in 1997 and 1.05 in 2018) during the study period. Asian/Pacific Islander individuals continued to have lower risk than White individuals during the study period (risk ratio, 0.87 in 1997 and 0.82 in 2018).

CONCLUSION

The rate of postpartum readmissions increased from 1997 to 2018 in California across all racial/ethnic groups, with the greatest increase observed for Black individuals. Racial/ethnic differences in the trend were more modest after adjustment for prenatal and clinical factors. It is important to find ways to prevent further increases in postpartum readmission, especially among groups at highest risk.

Early Postpartum Hospital Encounters among Patients with Genitourinary and Wound Infections during Hospitalization for Birth

OBJECTIVES

This study aimed to assess the associations between genitourinary and wound infections during the birth hospitalization and early postpartum hospital encounters, and to evaluate clinical risk factors for early postpartum hospital encounters among patients with genitourinary and wound infections during the birth hospitalization.

STUDY DESIGN

We conducted a population-based cohort study of births in California during 2016 to 2018 and postpartum hospital encounters. We identified genitourinary and wound infections using diagnosis codes. Our main outcome was early postpartum hospital encounter, defined as a readmission or emergency department (ED) visit within 3 days after discharge from the birth hospitalization. We evaluated the association of genitourinary and wound infections (overall and subtypes) with early postpartum hospital encounter using logistic regression, adjusting for sociodemographic factors and comorbidities and stratified by mode of birth. We then evaluated factors associated with early postpartum hospital encounter among patients with genitourinary and wound infections.

RESULTS

Among 1,217,803 birth hospitalizations, 5.5% were complicated by genitourinary and wound infections. Genitourinary or wound infection was associated with an early postpartum hospital encounter among patients with both vaginal births (2.2%; adjusted risk ratio [aRR[: 1.26; 95% confidence interval [CI]: 1.17-1.36) and cesarean births (3.2%; aRR: 1.23; 95% CI: 1.15-1.32). Patients with a cesarean birth and a major puerperal infection or wound infection had the highest risk of an early postpartum hospital encounter (6.4 and 4.3%, respectively). Among patients with genitourinary and wound infections during the birth hospitalization, factors associated with an early postpartum hospital encounter included severe maternal morbidity, major mental health condition, prolonged postpartum hospital stay, and, among cesarean births, postpartum hemorrhage (p-value < 0.05).

CONCLUSION

Genitourinary and wound infections during hospitalization for birth may increase risk of a readmission or ED visit within the first few days after discharge, particularly among patients who have a cesarean birth and a major puerperal infection or wound infection.

KEY POINTS

· In all, 5.5% of patients giving birth had a genitourinary or wound infection (GWI).. · A total of 2.7% of GWI patients had a hospital encounter within 3 days of discharge after birth.. · Major puerperal infection and wound infection had the highest risk of an early hospital encounter.. · Among GWI patients, several birth complications were associated with an early hospital encounter..

Inpatient midwifery staffing levels and postpartum readmissions: a retrospective multicentre longitudinal study

BACKGROUND

Preventing readmission to hospital after giving birth is a key priority, as rates have been rising along with associated costs. There are many contributing factors to readmission, and some are thought to be preventable. Nurse and midwife understaffing has been linked to deficits in care quality. This study explores the relationship between staffing levels and readmission rates in maternity settings.

METHODS

We conducted a retrospective longitudinal study using routinely collected individual patient data in three maternity services in England from 2015 to 2020. Data on admissions, discharges and case-mix were extracted from hospital administration systems. Staffing and workload were calculated in Hours Per Patient day per shift in the first two 12-hour shifts of the index (birth) admission. Postpartum readmissions and staffing exposures for all birthing admissions were entered into a hierarchical multivariable logistic regression model to estimate the odds of readmission when staffing was below the mean level for the maternity service.

RESULTS

64 250 maternal admissions resulted in birth and 2903 mothers were readmitted within 30 days of discharge (4.5%). Absolute levels of staffing ranged between 2.3 and 4.1 individuals per midwife in the three services. Below average midwifery staffing was associated with higher rates of postpartum readmissions within 7 days of discharge (adjusted OR (aOR) 1.108, 95% CI 1.003 to 1.223). The effect was smaller and not statistically significant for readmissions within 30 days of discharge (aOR 1.080, 95% CI 0.994 to 1.174). Below average maternity assistant staffing was associated with lower rates of postpartum readmissions (7 days, aOR 0.957, 95% CI 0.867 to 1.057; 30 days aOR 0.965, 95% CI 0.887 to 1.049, both not statistically significant).

CONCLUSION

We found evidence that lower than expected midwifery staffing levels is associated with more postpartum readmissions. The nature of the relationship requires further investigation including examining potential mediating factors and reasons for readmission in maternity populations.

Hypertensive Disorders of Pregnancy: Innovative Management Strategies

Hypertensive disorders of pregnancy (HDP) complicate 13% to 15% of pregnancies in the United States. Historically marginalized communities are at increased risk, with preeclampsia and eclampsia being the leading cause of death in this population. Pregnant individuals with HDP require more frequent and intensive monitoring throughout the antepartum period outside of routine standard of care prenatal visits. Additionally, acute rises in blood pressure often occur 3 to 6 days postpartum and are challenging to identify and treat, as most postpartum individuals are usually scheduled for their first visit 6 weeks after delivery. Thus, a multifaceted approach is necessary to improve recognition and treatment of HDP throughout the peripartum course. There are limited studies investigating interventions for the management of HDP, especially within the United States, where maternal mortality is rising, and in higher-risk groups. We review the state of current management of HDP and innovative strategies such as blood pressure self-monitoring, telemedicine, and community health worker intervention.

Postpartum menstrual equity: Video and audio analysis of vaginal bleeding counseling during postpartum inpatient care at a southeastern US tertiary hospital

BACKGROUND

Despite the universal nature of postpartum vaginal bleeding after childbirth and the importance of managing vaginal bleeding in the postpartum period to monitor health status, little is known about the information or products that birthing individuals are provided. Investigating current practices may offer insights to enacting more supportive and equitable postpartum care.

OBJECTIVE

To evaluate the patterns and content of vaginal bleeding counseling provided to birthing parents while on a postnatal inpatient unit.

DESIGN

Observational study of inpatient postpartum care. Birthing parents and their companions consented to video and audio recording of themselves, their infants, and healthcare team members during their postnatal unit stay.

METHODS

Following IRB approval and in coordination with clinicians at a tertiary hospital in the southeastern United States, data were collected with 15 families from August to December 2020. A multidisciplinary team coded video and audio data from each family from 12 h before hospital discharge. This analysis evaluates patterns of vaginal bleeding counseling timing, content, and language concordance and thematic content of this communication.

RESULTS

Birthing parent participants were self-identified Hispanic White (n = 6), non-Hispanic Black (n = 5), non-Hispanic White (n = 3), and non-Hispanic multi-race (n = 1). Six were Spanish-speaking and eight had cesarean section births. The timing, content, and language concordance of vaginal bleeding communication varied, with these topics mainly addressed in the hour preceding discharge. Twelve of the 15 birthing parents had communication on these topics between 2 and 5 times, 2 had one exchange, and 1 had no counseling on postpartum bleeding observed. Four of the six Spanish-speaking birthing parents had counseling on these topics that was not language concordant. Postpartum vaginal bleeding management involved the themes of access to products, patient safety, and meaningful counseling. There was a lack of adequate access, variation in accurate and respectful care, and a busy clinical environment with differences in information provided.

CONCLUSION

Findings suggest that there are opportunities to strengthen clinical practices for more consistent, proactive, and language concordant vaginal bleeding and subsequent menstrual care postpartum. Menstrual equity is an important part of dignified and safe care.

Postpartum readmission in Maryland by race and ethnicity, 2016-2019

BACKGROUND

The majority of maternal deaths occur in the postpartum period. We sought to compare postpartum readmission by race and ethnicity to better understand whether there are disparities in maternal health in the postpartum period as indicated by readmission to the hospital.

OBJECTIVE

This study aimed to use state-wide Maryland data to identify postpartum readmission rates by race and ethnicity, as well as the major risk factors, indications, and timing of readmission.

STUDY DESIGN

In this retrospective study (2016-2019), childbirth hospitalizations for patients of childbearing age were identified from the Maryland State Inpatient Database, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality. Indication for readmission was described. Multivariable logistic regression models were employed to determine racial and ethnic differences in postpartum readmissions, adjusting for maternal and obstetrical characteristics.

RESULTS

Among total deliveries (n=260,778), 3914 patients (1.5%) were readmitted within 60 days of delivery. The most common primary diagnoses at readmission were hypertension and infection. The prevalence of readmission was 1.2% (1306/111,325) for White patients, 2.3% (1786/79,412) for Black patients, 1.2% (485/40,862) for Hispanic patients and 1.2% (337/29,179) for patients of Other race or ethnicity (P<.0001). Black patients had the highest rates of readmission for hypertensive disorders as compared with all other races (37%, P<.0001). In adjusted models, Black patients were more likely to be readmitted than White patients (odds ratio, 1.64; confidence interval, 1.52-1.77). The majority of all readmissions occurred in the first week after delivery with Black patients having higher rates of readmission in the second week relative to all other groups (P<.0001).

CONCLUSION

Hypertension is a leading cause of postpartum readmission in Maryland. Black patients were more likely to be readmitted for hypertensive disorders of pregnancy and to have delayed readmission relative to other race or ethnic groups. Maryland public health officials should address disparities with interventions targeting racial and ethnic minorities, patients at risk for hypertensive disorders, and barriers to timely care.

Effectiveness of extended postpartum inpatient monitoring for hypertensive disorders of pregnancy to reduce the risk of readmission for preeclampsia with severe features

BACKGROUND

Preeclampsia is an obstetrical disorder, which complicates 3% to 6% of pregnancies and contributes to 21.6% of readmissions in the postpartum period. The optimal strategy for inpatient monitoring of blood pressures to minimize readmissions for postpartum patients with hypertensive disorders is not known. We hypothesized that extended monitoring of postpartum patients with hypertensive disorders of pregnancy for at least 36 hours after the last blood pressure that was ≥150/100 mm Hg would result in decreased readmission rates for preeclampsia with severe features compared with those who were not observed by these blood pressure goals.

OBJECTIVE

This study aimed to evaluate whether extended inpatient monitoring of postpartum patients with hypertensive disorders of pregnancy for at least 36 hours after their last blood pressure that was ≥150/100 mm Hg would improve readmission rates for preeclampsia with severe features within 6 weeks of delivery.

STUDY DESIGN

This was a retrospective cohort study in patients with a singleton pregnancy and a diagnosis of a hypertensive disorder of pregnancy at their delivery admission or at any point during pregnancy who delivered 1 year before and 1 year after the implementation of extended inpatient monitoring of postpartum hypertension. The primary outcome was readmission for preeclampsia with severe features within 6 weeks of delivery. The secondary outcomes were length of stay during first admission, number of readmissions for any indication, intensive care unit admission, postpartum day at readmission, median systolic blood pressure in the 24-hour period before discharge, median diastolic blood pressure in the 24-hour period before discharge, intravenous antihypertensive medication required during first admission, and intravenous antihypertensive medication required during second admission. Univariable analysis was performed for the association between baseline maternal characteristics and the primary outcome. Multivariable analysis was performed, adjusting for baseline maternal characteristic differences between exposure groups.

RESULTS

A total of 567 patients met the inclusion criteria of which 248 patients delivered before and 319 delivered after the implementation of extended monitoring. For baseline characteristics, the extended monitoring group had a significantly higher proportion of patients who were non-Hispanic Black and Hispanic, more diagnoses of hypertensive disorders and/or diabetes mellitus at the time of admission for delivery, a difference in the distribution of hypertensive diagnoses at the time of discharge from the first admission, and fewer discharged patients from their first admission on labetalol than the preintervention group. In a univariable analysis of the primary outcome, there was a significantly increased risk of readmission for preeclampsia with severe features in the extended monitoring group (62.5% vs 96.2% of total readmissions; P=.004). In multivariable analysis, patients in the extended monitoring group were more likely to be readmitted for preeclampsia with severe features than patients in the preintervention group (adjusted odds ratio, 3.45; 95% confidence interval, 1.03-11.5; P=.044).

CONCLUSION

Extended monitoring with a strict blood pressure goal of <150/<100 mm Hg did not decrease readmissions for preeclampsia with severe features in patients with a previous diagnosis of a hypertensive disorder of pregnancy.

Assessing Racial Disparities in Access, Use, and Outcomes for Pregnant and Postpartum Veterans and Their Infants in Veterans Health Administration

Objective: Limited population-based data examines racial disparities among pregnant and postpartum Veterans. Our objective was to determine whether Black/white racial disparities in health care access, use, and Veteran and infant outcomes are present among pregnant and postpartum Veterans and their infants using Veterans Health Administration (VA) care. Methods: The VA National Veteran Pregnancy and Maternity Care Survey included all Veterans with a VA paid live birth between June 2018 and December 2019. Participants could complete the survey online or by telephone. The independent variable was self-reported race. Outcomes included timely initiation of prenatal care, perceived access to timely prenatal care, attendance at a postpartum check-up, receipt of needed mental health care, cesarean section, postpartum rehospitalization, low birthweight, preterm birth, admission to a neonatal intensive care unit, and breastfeeding. Nonresponse weighted general linear models with a log-link were used to examine associations of race with outcomes. Cox regression was used to examine the association of race with duration of breastfeeding. Models adjusted for age, ethnicity, urban versus rural residence, and parity. Results: The analytic sample consisted of 1,220 Veterans (Black n = 916; white n = 304) representing 3,439 weighted responses (Black n = 1,027; white n = 2,412). No racial disparities were detected for health care access or use. Black Veterans were more likely than white Veterans to have a postpartum rehospitalization (RR 1.67, 95% CI: 1.04-2.68) and a low-birthweight infant (RR 1.67, 95% CI: 1.20-2.33). Conclusion: While no racial disparities were detected for health care access and use, we identified disparities in postpartum rehospitalization and low birthweight, underscoring that access is not sufficient for ensuring health equity.

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.

Association of Social Determinants of Health and Clinical Factors with Postpartum Hospital Readmissions among Nulliparous Individuals

OBJECTIVE

Prior data suggest that there are racial and ethnic disparities in postpartum readmission among individuals, especially among those with hypertensive disorders of pregnancy. Existing reports commonly lack granular information on social determinants of health. The objective of this study was to investigate factors associated with postpartum readmission for individuals and address whether such risk factors differed by whether an individual had an antecedent diagnosis of a hypertensive disorder of pregnancy (HDP).

STUDY DESIGN

This is a secondary analysis of a large, multicenter prospective cohort study of 10,038 nulliparous participants. The primary outcome of this analysis was postpartum readmission. A priori, participants were analyzed separately based on whether they had HDP. Participant characteristics previously associated with a greater risk of perinatal morbidity or readmission (including social determinants of health, preexisting and chronic comorbidities, and intrapartum characteristics) were compared with bivariable analyses and retained in multivariable models if p < 0.05. Social determinants of health evaluated in this analysis included insurance status, self-identified race and ethnicity (as a proxy for structural racism), income, marital status, primary language, and educational attainment.

RESULTS

Of 9,457 participants eligible for inclusion, 1.7% (n = 165) were readmitted following initial hospital discharge. A higher proportion of individuals with HDP were readmitted compared with individuals without HDP (3.4 vs 1.3%, p < 0.001). Among participants without HDP, the only factors associated with postpartum readmission were chorioamnionitis and cesarean delivery. Among participants with HDP, gestational diabetes and postpartum hemorrhage requiring transfusion were associated with postpartum readmission. While the number of postpartum readmissions included in our analysis was relatively small, social determinants of health that we examined were not associated with postpartum readmission for either group.

CONCLUSION

In this diverse cohort of nulliparous pregnant individuals, there was a higher frequency of postpartum readmission among participants with HDP. Preexisting comorbidity and intrapartum complications were associated with postpartum readmission among this population engaged in a longitudinal study.

KEY POINTS

· Non-HDP patients had higher odds of PPR with chorioamnionitis or cesarean.. · HDP patients had higher odds of PPR if they had GDM or PPH.. · Characterizing PPR may identify and highlight modifiable factors..

Postpartum Hospital Readmissions With and Without Severe Maternal Morbidity Within 1 Year of Birth, Oregon, 2012-2017

Postpartum readmissions (PPRs) represent a critical marker of maternal morbidity after hospital childbirth. Most severe maternal morbidity (SMM) events result in a hospital admission, but most PPRs do not have evidence of SMM. Little is known about PPR and SMM beyond the first 6 weeks postpartum. We examined the associations of maternal demographic and clinical factors with PPR within 12 months postpartum. We categorized PPR as being with or without evidence of SMM to assess whether risk factors and timing differed. Using the Oregon All Payer All Claims database, we analyzed hospital births from 2012-2017. We used log-binomial regression to estimate associations between maternal factors and PPR. Our final analytical sample included 158,653 births. Overall, 2.6% (n = 4,141) of births involved at least 1 readmission within 12 months postpartum (808 (19.5% of PPRs) with SMM). SMM at delivery was the strongest risk factor for PPR with SMM (risk ratio (RR) = 5.55, 95% confidence interval (CI): 4.14, 7.44). PPR without SMM had numerous risk factors, including any mental health diagnosis (RR = 2.10, 95% CI: 1.91, 2.30), chronic hypertension (RR = 2.17, 95% CI: 1.85, 2.55), and prepregnancy diabetes (RR = 2.85, 95% CI: 2.47, 3.30), all which were on par with SMM at delivery (RR = 1.89, 95% CI: 1.49, 2.40).

The use of loop diuretics in the context of hypertensive disorders of pregnancy: a systematic review and meta-analysis

AIMS

Addressing volume expansion may improve the management of hypertension across the pregnancy continuum. We conducted a systematic review to summarize the evidence on the use of loop diuretics in the context of hypertensive disorders during pregnancy and the postpartum period.

METHODS AND RESULTS

Medline, Embase, Cochrane library, ClinicalTrials.gov, and Google Scholar were searched for original research articles published up to 29 June 2021. Of the 2801 results screened, 15 studies were included: eight randomized controlled trials, six before-after studies, and one cohort study. Based on random effects meta-analysis of before-after studies, antepartum use of loop diuretics was associated with lower DBP [mean difference -17.73 mmHg, (95% confidence intervals -34.50 to -0.96); I2 = 94%] and lower cardiac output [mean difference -0.75 l/min, (-1.11 to -0.39); I2 = 0%], with no difference in SBP, mean arterial pressure, heart rate, or total peripheral resistance. Meta-analysis of randomized controlled trials revealed that postpartum use of loop diuretics was associated with decreased need for additional antihypertensive patients [relative risk 0.69, (0.50-0.97); I2 = 14%], and an increased duration of hospitalization [mean difference 8.80 h, (4.46-13.14); I2 = 83%], with no difference in the need for antihypertensive therapy at hospital discharge, or persistent postpartum hypertension.

CONCLUSION

Antepartum use of loop diuretics lowered DBP and cardiac output, while their postpartum use reduced the need for additional antihypertensive medications. There was insufficient evidence to suggest a clear benefit. Future studies focusing on women with hypertensive pregnancy disorders who may most likely benefit from loop diuretics are required.

Examining changes in clinical management and postpartum readmissions for hypertensive disorders of pregnancy over time

OBJECTIVE

In response to 2013 guidelines for hypertensive disorders of pregnancy (HDP), our study examined changes in antenatal management and postpartum readmission (PPR) over time.

STUDY DESIGN

This is a retrospective cohort study of individuals diagnosed antenatally with HDP who delivered at a tertiary care center from 2012 to 2017.

MAIN OUTCOME MEASURES

The primary outcome was postpartum readmission for HDP in 2012-2013 vs 2014-2017. Secondary outcomes included intravenous magnesium administration and prescription for oral (PO) antihypertensive medication during delivery admission. Multivariable logistic regression models assessed differences in outcomes over time, adjusted for age, race, and payer status, for HDP with and without severe features, defined by ACOG criteria.

RESULTS

Of 5,300 eligible individuals, 73.5 % had HDP without severe features and 26.5 % had severe features. The PPR frequency in this cohort was 1.1 % (N = 59). There was no difference in PPR for individuals with HDP without severe features (aOR 0.73; 95 % CI 0.28-1.88) or with severe features (aOR 1.30; 95 % CI 0.50-3.39) by epoch. Magnesium administration for HDP with severe features remained below 80 % over time. Magnesium administration for HDP without severe features and discharge prescriptions for PO medications for HDP with severe features were lower after 2013. Neither magnesium administration nor discharge prescriptions were associated with decreased odds of PPR.

CONCLUSION

Although there was no difference in PPR for HDP after 2013, there were changes in antenatal management of HDP, including decreased magnesium administration for individuals with HDP without severe features and PO medication for individuals with severe features.

Postpartum Readmissions for Hypertensive Disorders in Pregnancy During the COVID-19 Pandemic

BACKGROUND

Hypertensive disorders in pregnancy are one of the most common causes of readmission in the postpartum period. Because of the COVID-19 pandemic, early hospital discharge was encouraged for patients who were medically stable, because hospitalization rates among SARS-CoV-2–infected patients steadily increased in 2020. The impact of an early discharge policy on postpartum readmission rates among patients with hypertensive disorders in pregnancy is unknown.

OBJECTIVE

This study aimed to compare the postpartum readmission rates of patients with hypertensive disorders in pregnancy before and after implementation of an early discharge policy owing to the COVID-19 pandemic.

STUDY DESIGN

This was a quality improvement, retrospective cohort study of postpartum patients with antenatal hypertensive disorders in pregnancy who delivered and were readmitted because of hypertensive disorders in pregnancy at the New York University Langone Health medical center from March 1, 2019 to February 29, 2020 (control cohort) and from April 1, 2020 to March 31, 2021 (COVID-19 cohort). During the pandemic, our institution introduced an early discharge policy for all postpartum patients to be discharged no later than 2 days postpartum during the delivery admission if deemed medically appropriate. The reduction in postpartum length of stay was accompanied by the continuation of patient education, home blood pressure monitoring, and outpatient follow-up. The primary outcome was the comparison of the readmission rates for patients with postpartum hypertensive disorders in pregnancy. Data were analyzed using Fisher's Exact tests, chi-square tests, and Wilcoxon rank-sum tests with significance defined as P<.05.

RESULTS

There was no statistical difference in the readmission rates for patients with postpartum hypertensive disorders in pregnancy before vs after implementation of an early discharge policy (1.08% for the control cohort vs 0.59% for the COVID-19 cohort). The demographics in each group were similar, as were the median times to readmission (5.0 days; interquartile range, 4.0–6.0 days vs 6.0 days; interquartile range, 5.0–6.0 days; P=.13) and the median readmission length of stay (3.0 days; interquartile range, 2.0–4.0 days vs 3.0 days; interquartile range, 2.0–4.0 days; P=.45). There was 1 intensive care unit readmission in the COVID-19 cohort and none in the control cohort (P=.35). There were no severe maternal morbidities or maternal deaths.

CONCLUSION

These findings suggest that policies calling for a reduced postpartum length of stay, which includes patients with hypertensive disorders in pregnancy, can be implemented without impacting the hospital readmission rate for patients with hypertensive disorders in pregnancy. Continuation of patient education and outpatient surveillance during the pandemic was instrumental for the outpatient postpartum management of the study cohort. Further investigation into best practices to support early discharges is warranted.

Development and Internal Validation of a Risk Prediction Model for Acute Cardiovascular Morbidity in Preeclampsia

BACKGROUND

Persons with preeclampsia are at increased short-term risk of adverse cardiovascular outcomes during pregnancy and the early postpartum period. We aimed to develop and internally validate a risk assessment tool to predict acute cardiovascular morbidity in preeclampsia.

METHODS

The study was conducted at an academic obstetric hospital. Participants with preeclampsia at delivery between 2007 and 2017 were included. A model to predict acute cardiovascular morbidity at delivery and within 6 weeks postpartum was developed and evaluated. The primary composite outcome included pulmonary edema/acute heart failure, myocardial infarction, aneurysm, cardiac arrest/ventricular fibrillation, heart failure/arrest during surgery or procedure, cerebrovascular disorders, cardiogenic shock, conversion of cardiac rhythm, and difficult-to-control severe hypertension. We assessed model discrimination and calibration. We used bootstrapping for internal validation.

RESULTS

4,171 participants with preeclampsia were included. The final model comprised 8 variables. Predictors positively associated with acute cardiovascular morbidity (presented as odds ratio [OR] with 95% confidence interval [CI]) were: gestational age at delivery (20-36 weeks 5.36 [3.67, 7.82]; 37-38 weeks 1.75 [1.16, 2.64]), maternal age (≥40 years 1.65 [1.00, 2.72]; 35-39 years 1.49 [1.07, 2.09]), and prior cesarean delivery (1.47, [1.01, 2.13]). The model had an area under the receiver operating characteristic curve of 0.72 (95% CI [0.69, 0.74]). Moreover, it was adequately calibrated and performed well on internal validation.

CONCLUSIONS

This risk prediction tool identified women with preeclampsia at highest risk of acute cardiovascular morbidity. If externally validated, this tool may facilitate early interventions aimed at preventing adverse cardiovascular outcomes in pregnancy and postpartum.

Society for Maternal-Fetal Medicine Special Statement: A critique of postpartum readmission rate as a quality metric

Hospital readmission is considered a core measure of quality in healthcare. Readmission soon after hospital discharge can result from suboptimal care during the index hospitalization or from inadequate systems for postdischarge care. For many conditions, readmission is associated with a high rate of serious morbidity and potentially avoidable costs. In obstetrics, for postpartum care specifically, hospitals and payers can easily track the rate of maternal readmission after childbirth and may seek to incentivize obstetricians, maternal-fetal medicine specialists, or provider groups to reduce the rate of readmission. However, this practice has not been shown to improve outcomes or reduce harm. There are major concerns with incentivizing providers to reduce postpartum readmissions, including the lack of a standardized metric, a baseline rate of 1% to 2% that is too low to accurately discriminate between random variation and controllable factors, the need for risk adjustment that greatly complicates rate calculations, the potential for bias depending on the duration of the follow-up interval, the potential for the "gaming" of the metric, the lack of evidence that obstetrical providers can influence the rate, and the potential for unintended harm in the vulnerable postpartum population. Until these problems are adequately addressed, maternal readmission rate after a childbirth hospitalization currently has limited utility as a metric for quality or performance improvement or as a factor to adjust provider reimbursement.

Reduced rate of postpartum readmissions among homeless compared with non-homeless women in New York: a population-based study using serial, cross-sectional data

Objective

To assess differences in rates of postpartum hospitalisations among homeless women compared with non-homeless women.

Design

Cross-sectional secondary analysis of readmissions and emergency department (ED) utilisation among postpartum women using hierarchical regression models adjusted for age, race/ethnicity, insurance type during delivery, delivery length of stay, maternal comorbidity index score, other pregnancy complications, neonatal complications, caesarean delivery, year fixed effect and a birth hospital random effect.

Setting

New York statewide inpatient and emergency department databases (2009–2014).

Participants

82 820 and 1 026 965 postpartum homeless and non-homeless women, respectively.

Main outcome measures

Postpartum readmissions (primary outcome) and postpartum ED visits (secondary outcome) within 6 weeks after discharge date from delivery hospitalisation.

Results

Homeless women had lower rates of both postpartum readmissions (risk-adjusted rates: 1.4% vs 1.6%; adjusted OR (aOR) 0.87, 95% CI 0.75 to 1.00, p=0.048) and ED visits than non-homeless women (risk-adjusted rates: 8.1% vs 9.5%; aOR 0.83, 95% CI 0.77 to 0.90, p<0.001). A sensitivity analysis stratifying the non-homeless population by income quartile revealed significantly lower hospitalisation rates of homeless women compared with housed women in the lowest income quartile. These results were surprising due to the trend of postpartum hospitalisation rates increasing as income levels decreased.

Conclusions

Two factors likely led to lower rates of hospital readmissions among homeless women. First, barriers including lack of transportation, payment or childcare could have impeded access to postpartum inpatient and emergency care. Second, given New York State’s extensive safety net, discharge planning such as respite and sober living housing may have provided access to outpatient care and quality of life, preventing adverse health events. Additional research using outpatient data and patient perspectives is needed to recognise how the factors affect postpartum health among homeless women. These findings could aid in lowering readmissions of the housed postpartum population.

Physician Practice Pattern Variations in Common Clinical Scenarios Within 5 US Metropolitan Areas

Question

To what extent do physician-level variations in the appropriateness or quality of care exist within metropolitan areas, notably among specialists?

Findings

In this cross-sectional study of 8788 physicians across 7 specialties in 5 US metropolitan areas, sizeable physician-level practice pattern variations were evident across 14 common clinical scenarios where practice guidelines and clinical evidence can help discern, on average, the appropriateness or quality of clinical decisions. Variations were robust to adjustment for patient and area-level characteristics, and measure reliability was generally high.

Meaning

Within-area physician-level variations in practice patterns were qualitatively similar across clinical scenarios, despite practice guidelines designed to reduce variation.

Importance

While variations in quality of care have been described between US regions, physician-level practice pattern variations within regions remain poorly understood, notably among specialists.

Objective

To examine within-area physician-level variations in decision-making in common clinical scenarios where guidelines specifying appropriateness or quality of care exist.

Design, Setting, and Participants

This cross-sectional study used 2016 through 2019 data from a large nationwide network of commercial insurers, provided by Health Intelligence Company, LLC, within 5 metropolitan statistical areas (MSAs). Physician-level variations in appropriateness and quality of care were measured using 14 common clinical scenarios involving 7 specialties. The measures were constructed using public quality measure definitions, clinical guidelines, and appropriateness criteria from the clinical literature. Physician performance was calculated using a multilevel model adjusted for patient age, sex, risk score, and socioeconomic status with physician random effects. Measure reliability for each physician was calculated using the signal-to-noise approach. Within-MSA variation was calculated between physician quintiles adjusted for patient attributes, with the first quintile denoting highest quality or appropriateness and the fifth quintile reflecting the opposite. Data were analyzed March through October 2021.

Main Outcomes and Measures

Fourteen measures of quality or appropriateness of care, with 2 measures each in the domains of cardiology, endocrinology, gastroenterology, pulmonology, obstetrics, orthopedics, and neurosurgery.

Results

A total of 8788 physicians were included across the 5 MSAs, and about 2.5 million unique patient-physician pairs were included in the measures. Within the 5 MSAs, on average, patients in the measures were 34.7 to 40.7 years old, 49.1% to 52.3% female, had a mean risk score of 0.8 to 1.0, and more likely to have an employer-sponsored insurance plan that was either self-insured or fully insured (59.8% to 97.6%). Within MSAs, physician-level variations were qualitatively similar across measures. For example, statin therapy in patients with coronary artery disease ranged from 54.3% to 70.9% in the first quintile of cardiologists to 30.5% to 42.6% in the fifth quintile. Upper endoscopy in patients with gastroesophageal reflux disease without alarm symptoms spanned 14.6% to 16.9% in the first quintile of gastroenterologists to 28.2% to 33.8% in the fifth quintile. Among patients with new knee or hip osteoarthritis, 2.1% to 3.4% received arthroscopy in the first quintile of orthopedic surgeons, whereas 25.5% to 30.7% did in the fifth quintile. Appropriate prenatal screening among pregnant patients ranged from 82.6% to 93.6% in the first quintile of obstetricians to 30.9% to 65.7% in the fifth quintile. Within MSAs, adjusted differences between quintiles approximated unadjusted differences. Measure reliability, which can reflect consistency and reproducibility, exceeded 70.0% across nearly all measures in all MSAs.

Conclusions and Relevance

In this cross-sectional study of 5 US metropolitan areas, sizeable physician-level practice variations were found across common clinical scenarios and specialties. Understanding the sources of these variations may inform efforts to improve the value of care.

Postpartum Readmission and Uninsurance at Readmission for Medicaid versus Privately Insured Births

BACKGROUND

Routine postpartum care is essential to managing pregnancy complications, like hypertension and diabetes, or screening for new conditions, such as depression. Insurance coverage can impact women's ability to access these postpartum services, with women who change or lose insurance postpartum having a lower likelihood of receiving recommended postpartum care. Pregnancy-related Medicaid eligibility is only federally guaranteed for a minimum 60 days after birth, creating the potential for publicly insured women to lose their insurance and their access to postpartum care.

OBJECTIVE

The objective of this study was to examine the rates of postpartum readmission and predictors of uninsurance at readmission before and after 60-days postpartum for Medicaid versus privately paid births.

STUDY DESIGN

This is a retrospective cohort study using the 2017 Nationwide Readmissions Database (NRD). Women who delivered with Medicaid or private insurance between January and June 2017 were included. Potential readmissions were observed between 0-180 days after their childbirth hospitalization were included. The primary outcomes of interest were postpartum readmission and delivery payer at postpartum readmission, observed at 30-day intervals through 180 days postpartum. Multivariable logistic regressions were used to determine the association between the risk of readmission and the risk of being uninsured at the time of readmission among those with private insurance and Medicaid at the time of delivery. The analysis was also conducted in a subset of "acute-cause" readmissions, or those not likely to be related to chronic or pre-existing medical conditions.

RESULTS

24,719 (2.7%) were readmitted within 180 days after delivery: 14,179 (54.1%) had Medicaid delivery insurance, 10,540 (40.2%) had private insurance at delivery. Readmission rates decreased over the time intervals after delivery for both delivery payer types, though were consistently higher for those with Medicaid. The rate of uninsurance at readmission increased more each month postpartum for those with Medicaid compared to private insurance at delivery: 0.9% (95% confidence interval (CI) 0.7, 1.1%) at 0-30 days to 9.7% (95% CI 8.1, 11.6%) at 150-180 days postpartum and from 0.2% (95% CI 0.1, 0.4%) at 0-30 days to 2.6% (95% CI 1.6, 4.1%) at 150-180 days postpartum, respectively. Medicaid coverage at the time of delivery was a significant predictor of being readmitted [adjusted odds ratio (aOR) 1.86 (95% confidence interval (CI) 1.75, 1.97) and uninsured at the time of readmission [aOR 3.99 (95% CI 2.88, 5.52)] compared to being privately insured. Findings were similar in the acute-cause readmissions.

CONCLUSIONS

Women with Medicaid at delivery have a higher risk of readmission and uninsurance at readmission compared to privately insured women beyond 60 days postpartum. This analysis provides further evidence of the insurance instability women face in the postpartum period, especially by those insured by Medicaid at the time of delivery, and should promote discussions among policymakers, payers, and providers on strategies to ensure coverage and access to care for women and their families after childbirth. For states considering expanding their eligibility criteria to 1 year postpartum, this study provides evidence on the vulnerabilities and unique risks that women with Medicaid face after 60 days postpartum.

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.

Adverse Pregnancy Outcomes, Maternal Complications, and Severe Illness Among US Delivery Hospitalizations With and Without a Coronavirus Disease 2019 (COVID-19) Diagnosis

Background

Evidence on risk for adverse outcomes from COVID-19 among pregnant women is still emerging. We examined the association between COVID-19 at delivery and adverse pregnancy outcomes, maternal complications, and severe illness, whether these associations differ by race/ethnicity; and described discharge status by COVID-19 diagnosis and maternal complications.

Methods

Data from 703 hospitals in the Premier Healthcare Database during March–September 2020 were included. Adjusted risk ratios overall and stratified by race/ethnicity were estimated using Poisson regression with robust standard errors. Proportion not discharged home was calculated by maternal complications, stratified by COVID-19 diagnosis.

Results

Among 489,471 delivery hospitalizations, 6,550 (1.3%) had a COVID-19 diagnosis. In adjusted models, COVID-19 was associated with increased risk for: acute respiratory distress syndrome (adjusted risk ratio [aRR] = 34.4), death (aRR = 17.0), sepsis (aRR = 13.6), mechanical ventilation (aRR = 12.7), shock (aRR = 5.1), intensive care unit admission (aRR = 3.6), acute renal failure (aRR = 3.5), thromboembolic disease (aRR = 2.7), adverse cardiac event/outcome (aRR = 2.2) and preterm labor with preterm delivery (aRR = 1.2). Risk for any maternal complications or for any severe illness did not significantly differ by race/ethnicity. Discharge status did not differ by COVID-19; however, among women with concurrent maternal complications, a greater proportion of those with (versus without) COVID-19 were not discharged home.

Conclusions

These findings emphasize the importance of implementing recommended mitigation strategies to reduce risk for SARS-CoV-2 infection and further inform counseling and clinical care for pregnant women during the COVID-19 pandemic.

Uncaptured rates of postpartum venous thromboembolism: a US national analysis

OBJECTIVE

To quantify the proportion of postpartum venous thromboembolism (VTE) readmissions, including those that occur at different hospitals from index admission, and describe risk factors for this outcome.

DESIGN

Retrospective observational study.

SETTING

US hospitals included in the Nationwide Readmissions Database.

SAMPLE

A total of 3 719 238 patients >14 years of age with a delivery-associated hospitalisation in 2014.

METHODS

Univariate analysis was performed to identify patient and hospital factors associated with readmissions. Significant factors were included in multivariate logistic regression to identify independent risk factors. Results were weighted for national estimates.

MAIN OUTCOME MEASURES

Readmission with VTE to both index and different hospitals at 30, 60 and 90 days.

RESULTS

The VTE cumulative readmission rate was 0.053% (n = 1477), 0.063% (n = 1765) and 0.069% (n = 1938) at 30, 60 and 90 days, respectively. Patients were readmitted to different hospitals 31% of the time within 90 days. Risk factors for different hospital VTE readmission were unique and included younger age and initial admission to a small/medium-sized hospital. Initial admission to a for-profit hospital increased the likelihood of readmission to a different hospital.

CONCLUSIONS

Nearly one in three postpartum VTEs are missed by the current quality metrics, with significant implications for outcomes and quality. For-profit hospitals have a significant portion of their VTE readmissions hidden, falsely lowering their readmission rates relative to public hospitals.

TWEETABLE ABSTRACT

US analysis shows 1 in 3 readmissions for postpartum venous thromboembolism currently missed.

Fragmentation of postpartum readmissions in the United States

BACKGROUND

Fragmentation of care, wherein a patient is readmitted to a hospital different from the initial point of care, has been shown to be associated with worse patient outcomes in other medical specialties. However, postpartum fragmentation of care has not been well characterized in obstetrics.

OBJECTIVE

To characterize risk for and outcomes associated with fragmentation of postpartum readmissions wherein the readmitting hospital is different than the delivery hospital.

METHODS

The 2010 to 2014 Nationwide Readmissions Database was used for this retrospective cohort study. Postpartum readmissions within 60 days of delivery hospitalization discharge for women aged 15-54 years were identified. The primary outcome, fragmentation, was defined as readmission to a different hospital than the delivery hospital. Hospital, demographic, medical, and obstetric factors associated with fragmented readmission were analyzed. Adjusted log-linear models were performed to analyze risk for readmission with adjusted risk ratios and 95% confidence intervals as the measures of effect. The associations between fragmentation and secondary outcomes including (1) length of stay >90th percentile, (2) hospitalization costs >90th percentile, and (3) severe maternal morbidity were determined. Whether specific indications for readmission such as hypertensive diseases of pregnancy, wound complications, and other conditions were associated with higher or lower risk for fragmentation was analyzed.

RESULTS

From 2010 to 2014, 141,276 60-day postpartum readmissions were identified, of which 15% of readmissions (n = 21,789) occurred at a hospital different from where the delivery occurred. Evaluating individual readmission indications, fragmentation was less likely for hypertension (11.1%), wound complications (10.7%), and uterine infections (11.0%), and more likely for heart failure (28.6%), thromboembolism (28.4%), and upper respiratory infections (33.9%) (P < .01 for all). In the adjusted analysis, factors associated with fragmentation included public insurance compared to private insurance (Medicare: adjusted risk ratio, 1.68; 95% confidence interval, 1.52, 1.86; Medicaid: adjusted risk ratio, 1.28; 95% confidence interval, 1.24, 1.32). Fragmentation was associated with increased risk for severe maternal morbidity during readmissions in both unadjusted (relative risk, 1.84; 95% confidence interval, 1.79, 1.89) and adjusted (adjusted risk ratio, 1.81; 95% confidence interval, 1.76, 1.86) analyses. In adjusted analyses, fragmentation was also associated with increased risk for length of stay >90th percentile (relative risk, 1.48; 95% confidence interval, 1.42-1.54) and hospitalization costs >90th percentile (adjusted risk ratio, 1.74; 95% confidence interval, 1.67, 1.81).

CONCLUSION

This study of nationwide estimates of postpartum fragmentation found discontinuity of postpartum care was associated with increased risk for severe morbidity, high costs, and long length of stay. Reduction of fragmentation may represent an important goal in overall efforts to improve postpartum care.

Postpartum visits in the gynecological emergency room: How can we improve?

Background

The attendance to the gynecological-emergency-room (GER) of women only a few weeks following previous discharge after birth comprises a medical as well as social problem. The objective of the study was to characterize the postpartum women that attended the GER, and depict the leading etiologies and risk-factors that lead them to attend the GER, and to examine correlations between their medical findings at discharge and the reasons for their attendance to the hospital.

Methods

All women that attended the GER between 01/01/2016 and 30/09/2016 during 6 weeks after birth were included. The variables assessed were: medical history, mode of birth, maternal complications of birth, diagnosis at the GER, treatment received and readmission.

Results

There were 446 visits of 413 women (5.6% of all deliveries). Most were generally healthy after their first normal vaginal birth with no complications during or following birth. 38.7% had a cesarean birth (p < 0.001). The most common causes of the visits were fever (30.3%), problems in episiotomy or surgical scar (26.6%) and abdominal pain (25.7%). Women with hypertensive disorders during birth had significantly more hypertensive problems in the GER. Diabetic women suffered statistically more from hypertensive disorder in the GER. 33.2% were examined and found healthy. Seventy-two women (1% of all deliveries) were hospitalized, most of them due to infection. Only 7.5% were referred to the GER due to bleeding.

Conclusions

Postpartum women are at risk of morbidities, especially following cesarean sections and in women with hypertensive disorders of during pregnancy. Scheduled visits to high-risk women to attend outpatient clinic sooner are recommended.

Hospitalization Duration Following Uncomplicated Cesarean Delivery: Predictors, Facility Variation, and Outcomes

Objectives  This study was designed to: (1) characterize stay duration following cesarean delivery, (2) ascertain whether facility variation exists, and (3) determine whether shorter stays are associated with rates of readmission or costs. Study Design  The 2017 Nationwide Readmissions Database was used to identify uncomplicated cesarean deliveries. Hierarchical logistic regression was used to assess for facility variation in percentage of patients discharged within 2 days. Similar models were used to assess for associations between probability of readmission within 30 days and facility-level rates of discharge within 2 days. Results  In total, 456,312 patients from 1,535 hospitals were included. The median facility discharged 46.8% of patients within 2 days, with the 25th percentile of hospitals 23.7% and the 75th percentile 71.2%. In adjusted regression, there was significant facility heterogeneity ( p  < 0.0001). The overall readmission rate was 1.7%, and proportion of patients discharged within 2 days of cesarean delivery was not associated with readmission probability (adjusted relative risk: 1.02, confidence interval: 0.90-1.16), but was associated with lower inpatient costs (adjusted incremental cost: $111, confidence interval: -181 to -41). Conclusion  Unexplained facility variation in percentage of patients discharged within 2 days of cesarean delivery was not associated with differences in readmissions. Key Points We find significant facility-level variation in outcomes following uncomplicated cesarean delivery in the United States.High rates of early (postoperative day 2) discharge was not associated with differences in readmission rates in adjusted analyses but was associated with lower inpatient costs.

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.

Relationship Between Depression and/or Anxiety and Hospital Readmission Among Women After Childbirth

OBJECTIVE

To examine the relationship between depression and/or anxiety and any psychiatric diagnosis and readmission after childbirth.

DESIGN

Cross-sectional analysis of administrative data from patient discharge records.

SETTING

Urban academic medical center in the northeastern United States.

PARTICIPANTS

Women admitted for childbirth (N = 17,905).

METHODS

Differences among participants with and without depression and/or anxiety present on admission were compared using t tests and chi-square tests. Risk-adjusted logistic regression models were used to examine the effects of depression and/or anxiety and any psychiatric diagnosis on 7-, 30-, 60-, 90-, and 180-day readmissions after childbirth.

RESULTS

Significant differences were noted between participants with (n = 1,169) and without (n = 16,736) depression and/or anxiety. Participants with these diagnoses had a higher mean age and a longer mean length of stay during hospitalization for childbirth. A greater proportion of these participants were White, were single, had cesarean births, and were discharged with home health services. The presence of depression and/or anxiety was not significantly associated with readmission. The effect of having any psychiatric diagnosis was significantly associated with a greater risk of readmission at 7 (odds ratio [OR] = 1.51, p = .100), 30 (OR = 1.45, p = .030), 60 (OR = 1.45, p = .026), 90 (OR = 1.56, p = .004), and 180 days (OR =1.74, p < .001) following discharge after childbirth.

CONCLUSION

In this sample, women with a psychiatric diagnosis, but not depression and/or anxiety alone, were at increased risk for readmission after childbirth.

Do informed consumers in Taiwan favour larger hospitals? A 10-year population-based study on differences in the selection of healthcare providers among medical professionals, their relatives and the general population

OBJECTIVES

Exploring whether medical professionals, who are considered to be 'informed consumers' in the healthcare system, favour large providers for elective treatments. In this study, we compare the inclination of medical professionals and their relatives undergoing treatment for childbirth and cataract surgery at medical centres, against those of the general population.

DESIGN

Retrospective study using a population-based matched cohort data.

PARTICIPANTS

Patients who underwent childbirth or cataract surgery between 1 January 2004 and 31 December 2013.

PRIMARY AND SECONDARY OUTCOMES MEASURES

We used multiple logistic regression to compare the ORs of medical professionals and their relatives undergoing treatment at medical centres, against those of the general population. We also compared the rate of 14-day re-admission (childbirth) and 14-day reoperation (cataract surgery) after discharge between these groups.

RESULTS

Multivariate analysis showed that physicians were more likely than patients with no familial connection to the medical profession to undergo childbirth at medical centres (OR 5.26, 95% CI 3.96 to 6.97, p<0.001), followed by physicians' relatives (OR 2.68, 95% CI 2.20 to 3.25, p<0.001). Similarly, physicians (OR 1.63, 95% CI 1.21 to 2.19, p<0.01) and their relatives (OR 1.43, 95% CI 1.13 to 1.81, p<0.01) were also more likely to undergo cataract surgery at medical centres. Physicians also tended to select healthcare providers who were at the same level or above the institution at which they worked. We observed no significant difference in 14-day re-admission rates after childbirth and no significant difference in 14-day reoperation rates after cataract surgery across patient groups.

CONCLUSIONS

Medical professionals and their relatives are more likely than the general population to opt for service at medical centres. Understanding the reasons that medical professionals and general populations both have a preferential bias for larger medical institutions could help improve the efficiency of healthcare delivery.

Risk Factors for Undergoing Elective Abdominal Contouring Surgery Shortly After Hospitalization

BACKGROUND

Having posthospital syndrome (PHS) at the time of an elective surgery increases the risk of postoperative adverse outcomes. The purpose of this article was to identify incidence and risk factors for having PHS at the time of abdominal contouring surgeries.

METHODS

Insurance claims from the Truven MarketScan Databases were used to identify patients who underwent outpatient abdominoplasty, liposuction, or panniculectomy between April 2010 and August 2015. Patients were presumed to have PHS if they were hospitalized within 90 d before surgery. Incidence rates of having PHS were calculated for patient groups defined by demographic data and comorbidities. Statistical inference based on adjusted odds ratios was used to evaluate the association of potential risk factors with PHS. A nonparametric regression method was used to demonstrate nonlinear effects of patient covariates on the risk of PHS.

RESULTS

This study included 18,947 patients who underwent abdominal contouring; 77% were female, and the mean age was 48.7 y (SD = 14.7). Six percent (n = 1045) of patients had PHS at the time of surgery. A significantly stronger association with PHS (P < 0.001) was observed in patients with deep venous thrombosis (adjusted odds ratio = 3.56), Elixhauser score > 8 (3.28), and smokers (2.16). Age was found to have a piecewise linear effect on PHS, with odds increasing by 2.1% per year over the age of 45 y.

CONCLUSIONS

Older patients have an increased risk of undergoing abdominal contouring surgery in a deconditioned state. Screening at-risk populations for PHS would help identify patients who need rehabilitation before operative intervention.

Variation in readmission rates among hospitals following admission for traumatic injury

INTRODUCTION

Readmission following hospital discharge is both common and costly. The Hospital Readmission Reduction Program (HRRP) financially penalizes hospitals for readmission following admission for some conditions, but this approach may not be appropriate for all conditions. We wished to determine if hospitals differed in their adjusted readmission rates following an index hospital admission for traumatic injury.

PATIENTS AND METHODS

We extracted from the AHRQ National Readmission Dataset (NRD) all non-elderly adult patients hospitalized following traumatic injury in 2014. We estimated hierarchal logistic regression models to predicted readmission within 30 days. Models included either patient level predictors, hospital level predictors, or both. We quantified the extent of hospital variability in readmissions using the median odds ratio. Additionally, we computed hospital specific risk-adjusted rates of readmission and number of excess readmissions.

RESULTS

Of the 177,322 patients admitted for traumatic injury 11,940 (6.7%) were readmitted within 30 days. Unadjusted hospital readmission rates for the 637 hospitals in our study varied from 0% to 20%. After controlling for sources of variability the range for hospital readmission rates was between 5.5% and 8.5%. Only 2% of hospitals had a random intercept coefficient significantly different from zero, suggesting that their readmission rates differed from the mean level of all hospitals. We also estimated that in 2014 only 11% of hospitals had more than 2 excess readmissions. Our multilevel model discriminated patients who were readmitted from those not readmitted at an acceptable level (C = 0.74).

CONCLUSIONS

We found little evidence that hospitals differ in their readmission rates following an index admission for traumatic injury. There is little justification for penalizing hospitals based on readmissions after traumatic injury.

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.