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BACKGROUND The Caregiver Advise Record Enable (CARE) Act is a state level law that requires hospitals to identify and educate caregivers (“family members or friends”) upon discharge. OBJECTIVE This study examined the association between the implementation of the CARE Act in a Pennsylvania health system and health service utilization (ie, reducing hospital readmission, emergency department [ED] visits, and mortality) for older adults with diabetes. METHODS The key elements of the CARE Act were implemented and applied to the patients discharged to home. The data between May and October 2017 were pulled from inpatient electronic health records. Likelihood-ratio chi-square tests and multivariate logistic regression models were used for statistical analysis. RESULTS The sample consisted of 2591 older inpatients with diabetes with a mean age of 74.6 (SD 7.1) years. Of the 2591 patients, 46.1% (n=1194) were female, 86.9% (n=2251) were White, 97.4% (n=2523) had type 2 diabetes, and 69.5% (n=1801) identified a caregiver. Of the 1801 caregivers identified, 399 (22.2%) received discharge education and training. We compared the differences in health service utilization between pre- and postimplementation of the CARE Act; however, no significance was found. No significant differences were detected from the bivariate analyses in any outcomes between individuals who identified a caregiver and those who declined to identify a caregiver. After adjusting for risk factors (multivariate analysis), those who identified a caregiver (12.2%, 219/1801) was associated with higher rates of 30-day hospital readmission than those who declined to identify a caregiver (9.9%, 78/790; odds ratio [OR] 1.38, 95% CI 1.04-1.87; P=.02). Significantly lower rates were detected in 7-day readmission (P=.02), as well as 7-day (P=.03) and 30-day (P=.01) ED visits, among patients with diabetes whose identified caregiver received education and training than those whose identified caregiver did not receive education and training in the bivariate analyses. However, after adjusting for risk factors, no significance was found in 7-day readmission (OR 0.53, 95% CI 0.27-1.05; P=.07), 7-day ED visit (OR 0.63, 95% CI 0.38-1.03; P=.07), and 30-day ED visit (OR 0.73, 95% CI 0.52-1.02; P=.07). No significant associations were found for other outcomes (ie, 30-day readmission and 7-day and 30-day mortality) in both the bivariate and multivariate analyses. CONCLUSIONS Our study found that the implementation of the CARE Act was associated with certain health service utilization. The identification of caregivers was associated with higher rates of 30-day hospital readmission in the multivariate analysis, whereas having identified caregivers who received discharge education was associated with lower rates of readmission and ED visit in the bivariate analysis.

Background The Caregiver Advise Record Enable (CARE) Act is a state level law that requires hospitals to identify and educate caregivers (“family members or friends”) upon discharge. Objective This study examined the association between the implementation of the CARE Act in a Pennsylvania health system and health service utilization (ie, reducing hospital readmission, emergency department [ED] visits, and mortality) for older adults with diabetes. Methods The key elements of the CARE Act were implemented and applied to the patients discharged to home. The data between May and October 2017 were pulled from inpatient electronic health records. Likelihood-ratio chi-square tests and multivariate logistic regression models were used for statistical analysis. Results The sample consisted of 2591 older inpatients with diabetes with a mean age of 74.6 (SD 7.1) years. Of the 2591 patients, 46.1% (n=1194) were female, 86.9% (n=2251) were White, 97.4% (n=2523) had type 2 diabetes, and 69.5% (n=1801) identified a caregiver. Of the 1801 caregivers identified, 399 (22.2%) received discharge education and training. We compared the differences in health service utilization between pre- and postimplementation of the CARE Act; however, no significance was found. No significant differences were detected from the bivariate analyses in any outcomes between individuals who identified a caregiver and those who declined to identify a caregiver. After adjusting for risk factors (multivariate analysis), those who identified a caregiver (12.2%, 219/1801) was associated with higher rates of 30-day hospital readmission than those who declined to identify a caregiver (9.9%, 78/790; odds ratio [OR] 1.38, 95% CI 1.04-1.87; P=.02). Significantly lower rates were detected in 7-day readmission (P=.02), as well as 7-day (P=.03) and 30-day (P=.01) ED visits, among patients with diabetes whose identified caregiver received education and training than those whose identified caregiver did not receive education and training in the bivariate analyses. However, after adjusting for risk factors, no significance was found in 7-day readmission (OR 0.53, 95% CI 0.27-1.05; P=.07), 7-day ED visit (OR 0.63, 95% CI 0.38-1.03; P=.07), and 30-day ED visit (OR 0.73, 95% CI 0.52-1.02; P=.07). No significant associations were found for other outcomes (ie, 30-day readmission and 7-day and 30-day mortality) in both the bivariate and multivariate analyses. Conclusions Our study found that the implementation of the CARE Act was associated with certain health service utilization. The identification of caregivers was associated with higher rates of 30-day hospital readmission in the multivariate analysis, whereas having identified caregivers who received discharge education was associated with lower rates of readmission and ED visit in the bivariate analysis.

AIM To test the effect of the duration of medication for opioid use disorder (MOUD) use during pregnancy on maternal, perinatal and neonatal outcomes. DESIGN Retrospective cohort analysis of claims, encounter and pharmacy data. SETTING Pennsylvania, USA. PARTICIPANTS We analyzed 13 320 pregnancies among 10 741 women with opioid use disorder aged 15-44 years enrolled in Pennsylvania Medicaid between 2009 and 2017. MEASUREMENTS We examined five outcomes during pregnancy and for 12 weeks postpartum: (1) overdose, (2) postpartum MOUD continuation, (3) preterm birth (

Severe maternal morbidity (SMM) affects 50,000 women annually in the United States, but its consequences are not well understood. We aimed to estimate the association between SMM and risk of adverse cardiovascular events during the 2 years postpartum. We analyzed 137,140 deliveries covered by the Pennsylvania Medicaid program (2016–2018), weighted with inverse probability of censoring weights to account for nonrandom loss to follow-up. SMM was defined as any diagnosis on the Centers for Disease Control and Prevention list of SMM diagnoses and procedures and/or intensive care unit admission occurring at any point from conception through 42 days postdelivery. Outcomes included heart failure, ischemic heart disease, and stroke/transient ischemic attack up to 2 years postpartum. We used marginal standardization to estimate average treatment effects. We found that SMM was associated with increased risk of each adverse cardiovascular event across the follow-up period. Per 1,000 deliveries, relative to no SMM, SMM was associated with 12.1 (95% confidence interval (CI): 6.2, 18.0) excess cases of heart failure, 6.4 (95% CI: 1.7, 11.2) excess cases of ischemic heart disease, and 8.2 (95% CI: 3.2, 13.1) excess cases of stroke/transient ischemic attack at 26 months of follow-up. These results suggest that SMM identifies a group of women who are at high risk of adverse cardiovascular events after delivery. Women who survive SMM may benefit from more comprehensive postpartum care linked to well-woman care.

Objective The purpose of this study was to describe postpartum contraceptive utilization patterns among women with OUD and evaluate the relationship between postpartum contraceptive method choice and interpregnancy interval. Methods A retrospective cohort study was conducted with women in Pennsylvania Medicaid with a diagnosis of OUD between 2008 and 2013. Postpartum contraceptive use within 90 days after delivery was identified through claims data and categorized by effectiveness (highly-effective, effective, and no method observed). Kaplan-Meier time-to-event analyses and multivariable-adjusted marginal Cox regression models were used to evaluate the relationship between postpartum contraceptive method choice and interpregnancy interval. Multivariable logistic regression analyses were used to identify risk factors predictive of a short interpregnancy interval (≤18 months). Results We identified 7805 women (9260 pregnancies) who had a diagnosis of OUD. Nearly three-quarters (74.5%) had no contraceptive method observed, 18.1% received an effective method, and only 7.4% received a highly-effective method (LARC or female sterilization) during the postpartum period. In Kaplan-Meier analyses, no significant differences were found in the time-to-next pregnancy interval when an effective contraceptive method vs. no contraceptive method was used. In multivariable analysis, predictors of a significantly longer interpregnancy interval were LARC use (HR 0.43, 95% CI 0.26–0.69), gestational hypertension (HR 0.80, 95% CI 0.65–0.97), and age (HR 0.95, 95% CI 0.94–0.96). Approximately 20% of women with OUD had a short interpregnancy interval. Conclusion Few women with OUD use highly-effective postpartum contraception, which is protective against short interpregnancy intervals.

OBJECTIVE: To evaluate temporal trends in medication-assisted treatment utilization among pregnant women with opioid use disorder. METHODS: We conducted a retrospective cohort study using Pennsylvania Medicaid administrative data. Trends in medication-assisted treatment utilization, opioid pharmacotherapy (methadone and buprenorphine) and behavioral health counselling, were calculated using pharmacy records and procedure codes. Cochrane-Armitage tests evaluated linear trends in characteristics of pregnant women using methadone versus buprenorphine. RESULTS: In total, we evaluated 12,587 pregnancies among 10,741 women with opioid use disorder who had a live birth between 2009 and 2015. Across all years, 44.1% of pregnant women received no opioid pharmacotherapy, 27.1% used buprenorphine, and 28.8% methadone. Fewer than half of women had any behavioral health counseling during pregnancy. The adjusted prevalence of methadone use declined from 31.6% (95% CI: 29.3%–33.9%) in 2009 to 25.2% (95% CI: 23.3%–27.1%) in 2015, while the adjusted prevalence of buprenorphine use increased from 15.8% (95% CI: 13.9%–17.8%) to 30.9% (95% CI: 28.8%–33.0%). Greater increases in buprenorphine use were found in geographic regions with large metropolitan centers, such as the Southwest (+24.9%) and the Southeast (+12.0%), compared to largely rural regions, such as the New West (+5.2%). In 2015, the adjusted number of behavioral health counseling visits during pregnancy was 3.4 (95% CI: 2.6–4.1) among women using buprenorphine, 4.0 (95% CI: 3.3–4.7) among women who did not use pharmacotherapy, and 6.4 (95% CI: 4.9–7.9) among women using methadone. CONCLUSIONS: Buprenorphine use among Medicaid-enrolled pregnant women with opioid use disorder increased significantly over time, with a small concurrent decline in methadone use. Behavioral health counseling utilization was low, but highest among women using methadone.

Purpose Little is known about the longitudinal patterns of buprenorphine adherence among pregnant women with opioid use disorder, especially when late initiation, nonadherence, or early discontinuation of buprenorphine during pregnancy may increase the risk of adverse outcomes. We aimed to identify distinct trajectories of buprenorphine use during pregnancy, and factors associated with these trajectories in Medicaid-enrolled pregnant women. Methods A retrospective cohort study included 2361 Pennsylvania Medicaid enrollees aged 15 to 46 having buprenorphine therapy during pregnancy and a live birth between 2008 and 2015. We used group-based trajectory models to identify buprenorphine use patterns in the 40 weeks prior to delivery and 12 weeks postdelivery. Multivariable multinomial logistic regression models were used to identify factors associated with specific trajectories. Results Six distinct trajectories were identified. Four groups initiated buprenorphine during the first trimester of the pregnancy (early initiators): 31.6% with persistently high adherence, 15.1% with moderate-to-high adherence, 10.5% with declining adherence, and 16.7% with early discontinuation. Two groups did not initiate buprenorphine until midsecond or third trimester (late initiators): 13.5% had moderate-to-high adherence and 12.6% had low-to-moderate adherence. Factors significantly associated with late initiation and discontinuation were younger age, non-white race, residents of rural counties, fewer outpatient visits, more frequent emergency department visits and hospitalizations, and lower buprenorphine daily dose. Conclusions Six buprenorphine treatment trajectories during pregnancy were identified in this population-based Medicaid cohort, with 25% of women initiating buprenorphine late during pregnancy. Understanding trajectories of buprenorphine use and factors associated with discontinuation/nonadherence may guide integration of behavioral treatment with obstetrical/gynecological care to improve buprenorphine treatment during pregnancy.

OBJECTIVES We explore adverse consequences of unmet needs for care among high-need/high-cost (HNHC) older adults. METHOD Interviews with 4,024 community-dwelling older adults with ADL/IADL/mobility disabilities from the 2011 National Health and Aging Trends Study (NHATS). Reports of socio-demographics, disability compensatory strategies, and adverse consequences of unmet needs in the past month were obtained from older adults with multiple chronic conditions (MCC), probable dementia (DEM), and/or near end-of-life (EOL) and compared older adults not meeting these criteria. RESULTS Older adults with MCC (31.6%), DEM (39.6%), and EOL (48.7%) reported significantly more adverse consequences than low-need older adults (21.4%). Persons with MCC and DEM (53.4%), MCC, and EOL (53.2%), and all three (MCC, DEM, EOL, 65.6%) reported the highest levels of adverse consequences. HNHC participants reported more environmental modifications, assistive device, and larger helper networks. HNHC status independently predicted greater adverse consequences after controlling for disability compensatory strategies in multivariate models. DISCUSSION Adverse consequences of unmet needs for care are prevalent among HNHC older adults, especially those with multiple indicators, despite more disability-related compensatory efforts and larger helper networks. Helping caregivers provide better informal care has potential to contain healthcare costs by reducing hospitalization and unplanned readmissions.