Contraceptive Use Among Traditional Medicare And Medicare Advantage Enrollees.

Medicare is the primary source of health insurance coverage for reproductive-age people with Social Security Disability Insurance. However, Medicare does not require contraceptive coverage for pregnancy prevention, and little is known about contraceptive use in traditional Medicare and Medicare Advantage. We analyzed Medicare and Optum data to assess variations in contraceptive use and methods used by traditional Medicare and Medicare Advantage enrollees, as well as among enrollees with and without noncontraceptive clinical indications. Clinically indicated contraceptives are used for reasons other than pregnancy prevention, including menstrual regulation or to treat acne, menorrhagia, and endometriosis. Contraceptive use was higher among Medicare Advantage enrollees than traditional Medicare enrollees, but use in both populations was low compared with contraceptive use among Medicaid enrollees. We found significant variation by Medicare type with respect to contraceptive methods used. Relative to traditional Medicare, the probability of long-acting reversible contraception was more than three times higher in Medicare Advantage, and the probability of tubal sterilization was more than ten times higher. Overall, Medicare enrollees with noncontraceptive clinical indications had twice the probability of contraceptive use as those without them. Medicare coverage of all contraceptive methods without cost sharing would help address financial barriers to contraceptives and support the reproductive autonomy of disabled enrollees.

Enrollee characteristics and receipt of colorectal cancer testing in Pennsylvania after adoption of the Affordable Care Act Medicaid expansion.

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer and the second leading cause of cancer-related death in the U.S. Despite increased CRC screening rates, they remain low among low-income non-older adults, including Medicaid enrollees who are more likely to be diagnosed at advanced stages. OBJECTIVES: Given limited evidence regarding CRC screening service use among Medicaid enrollees, we examined multilevel factors associated with CRC testing among Medicaid enrollees in Pennsylvania after Medicaid expansion in 2015. RESEARCH DESIGN: Using the 2014-2019 Medicaid administrative data, we performed multivariable logistic regression models to assess factors associated with CRC testing, adjusting for enrollment length and primary care services use. SUBJECTS: We identified 15,439 adults aged 50-64 years newly enrolled through Medicaid expansion. MEASURES: Outcome measures include receiving any CRC testing and by modality. RESULTS: About 32% of our study population received any CRC testing. Significant predictors for any CRC testing include being male, being Hispanic, having any chronic conditions, using primary care services ≤4 times annually, and having a higher county-level median household income. Being 60-64 years at enrollment, using primary care services >4 times annually, and having higher county-level unemployment rates were significantly associated with a decreased likelihood of receiving any CRC tests. CONCLUSIONS: CRC testing rates were low among adults newly enrolled in Medicaid under the Medicaid expansion in Pennsylvania relative to adults with high income. We observed different sets of significant factors associated with CRC testing by modality. Our findings underscore the urgency to tailor strategies by patients' racial, geographic, and clinical conditions for CRC screening.

Sex-related differences in the prevalence of substance use disorders, treatment, and overdose among parents with young children.

Introduction: Risk factors and treatment rates for substance use disorders (SUDs) differ by sex. Females often have greater childcare and household responsibilities than males, which may inhibit SUD treatment. We examined how SUD, medication for opioid use disorder (MOUD) receipt, and overdose rates differ by sex among parents with young children (<5 years). Methods: Using deidentified national administrative healthcare data from Optum's Clinformatics® Data Mart Database version 8.1 (2007-2021), we identified parents aged 26-64 continuously enrolled in commercial insurance for ≥ 30 days and linked to ≥ 1 dependent child < 5 years from January 1, 2016-February 29, 2020. We used generalized estimating equations to estimate the average predicted prevalence of SUD diagnosis, MOUD receipt after opioid use disorder (OUD) diagnosis, and overdose by parent sex in any month, adjusting for age, race/ethnicity, state of residence, enrollment month, and mental health conditions. Results: From 2016 to 2020, there were 2,241,795 parents with a dependent child < 5 years, including 1,155,252 (51.5%) females and 1,086,543 (48.5%) males. Male parents had a higher average predicted prevalence of an SUD diagnosis (11.1% [11, 11.16]) than female parents (5.5% [5.48, 5.58]). Among parents with OUD, the average predicted prevalence of receiving MOUD was 27.4% [26.1, 28.63] among male and 19.7% [18.34, 21.04] among female parents, with no difference in overdose rates by sex. Conclusion: Female parents are less likely to be diagnosed with an SUD or receive MOUD than male parents. Removing policies that criminalize parental SUD and addressing childcare-related barriers may improve SUD identification and treatment.

Prevalence of Testing for Human Immunodeficiency Virus, Hepatitis B Virus, and Hepatitis C Virus Among Medicaid Enrollees Treated With Medications for Opioid Use Disorder in 11 States, 2016-2019.

BACKGROUND: Limited information exists about testing for human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) among Medicaid enrollees after starting medication for opioid use disorder (MOUD), despite guidelines recommending such testing. Our objectives were to estimate testing prevalence and trends for HIV, HBV, and HCV among Medicaid enrollees initiating MOUD and examine enrollee characteristics associated with testing. METHODS: We conducted a serial cross-sectional study of 505 440 initiations of MOUD from 2016 to 2019 among 361 537 Medicaid enrollees in 11 states. Measures of MOUD initiation; HIV, HBV, and HCV testing; comorbidities; and demographics were based on enrollment and claims data. Each state used Poisson regression to estimate associations between enrollee characteristics and testing prevalence within 90 days of MOUD initiation. We pooled state-level estimates to generate global estimates using random effects meta-analyses. RESULTS: From 2016 to 2019, testing increased from 20% to 25% for HIV, from 22% to 25% for HBV, from 24% to 27% for HCV, and from 15% to 19% for all 3 conditions. Adjusted rates of testing for all 3 conditions were lower among enrollees who were male (vs nonpregnant females), living in a rural area (vs urban area), and initiating methadone or naltrexone (vs buprenorphine). Associations between enrollee characteristics and testing varied across states. CONCLUSIONS: Among Medicaid enrollees in 11 US states who initiated medications for opioid use disorder, testing for human immunodeficiency virus, hepatitis B virus, hepatitis C virus, and all 3 conditions increased between 2016 and 2019 but the majority were not tested.

Association of Cannabis Use With Nausea and Vomiting of Pregnancy.

Our objective was to evaluate whether cannabis use was associated with nausea and vomiting in early pregnancy. Participants from nuMoM2b (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be) enrolled from October 2010 through September 2013 with a PUQE (Pregnancy-Unique Quantification of Emesis) questionnaire and an available stored urine sample from the first study visit (median gestational age 12 weeks) were included. Cannabis exposure was ascertained by urine immunoassay for 11-nor-9-carboxy-delta-9-tetrahydrocannabinol (THC-COOH); positive results were confirmed with liquid chromatography tandem mass spectrometry. The primary outcome was moderate-to-severe nausea by the PUQE score. Overall, 9,250 participants were included, and 5.8% (95% CI 5.4-6.3%) had detectable urine THC-COOH. In adjusted analyses, higher THC-COOH levels were associated with greater odds of moderate-to-severe nausea (20.7% in the group with THC-COOH detected vs 15.5% in the group with THC-COOH not detected, adjusted odds ratio 1.6, 95% CI 1.1-2.2 for a 500 ng/mg Cr THC-COOH increment).

Duration of medication treatment for opioid-use disorder and risk of overdose among Medicaid enrollees in 11 states: a retrospective cohort study.

BACKGROUND AND AIMS: Medication for opioid use disorder (MOUD) reduces harms associated with opioid use disorder (OUD), including risk of overdose. Understanding how variation in MOUD duration influences overdose risk is important as health-care payers increasingly remove barriers to treatment continuation (e.g. prior authorization). This study measured the association between MOUD continuation, relative to discontinuation, and opioid-related overdose among Medicaid beneficiaries. DESIGN: Retrospective cohort study using landmark survival analysis. We estimated the association between treatment continuation and overdose risk at 5 points after the index, or first, MOUD claim. Censoring events included death and disenrollment. SETTING AND PARTICIPANTS: Medicaid programs in 11 US states: Delaware, Kentucky, Maryland, Maine, Michigan, North Carolina, Ohio, Pennsylvania, Virginia, West Virginia and Wisconsin. A total of 293 180 Medicaid beneficiaries aged 18-64 years with a diagnosis of OUD and had a first MOUD claim between 2016 and 2017. MEASUREMENTS: MOUD formulations included methadone, buprenorphine and naltrexone. We measured medically treated opioid-related overdose within claims within 12 months of the index MOUD claim. FINDINGS: Results were consistent across states. In pooled results, 5.1% of beneficiaries had an overdose, and 67% discontinued MOUD before an overdose or censoring event within 12 months. Beneficiaries who continued MOUD beyond 60 days had a lower relative overdose hazard ratio (HR) compared with those who discontinued by day 60 [HR = 0.39; 95% confidence interval (CI) = 0.36-0.42; P < 0.0001]. MOUD continuation was associated with lower overdose risk at 120 days (HR = 0.34; 95% CI = 0.31-0.37; P < 0.0001), 180 days (HR = 0.31; 95% CI = 0.29-0.34; P < 0.0001), 240 days (HR = 0.29; 95% CI = 0.26-0.31; P < 0.0001) and 300 days (HR = 0.28; 95% CI = 0.24-0.32; P < 0.0001). The hazard of overdose was 10% lower with each additional 60 days of MOUD (95% CI = 0.88-0.92; P < 0.0001). CONCLUSIONS: Continuation of medication for opioid use disorder (MOUD) in US Medicaid beneficiaries was associated with a substantial reduction in overdose risk up to 12 months after the first claim for MOUD.

Explaining Racial-ethnic Disparities in the Receipt of Medication for Opioid Use Disorder during Pregnancy.

OBJECTIVE: Factors contributing to racial and ethnic disparities in medication for opioid use disorder (MOUD) receipt during pregnancy are largely unknown. We quantified the contribution of individual, healthcare access and quality, and community factors to racial-ethnic disparities in MOUD during pregnancy and postpartum among Medicaid-enrolled pregnant women with opioid use disorder (OUD). METHODS: This retrospective cohort study used regression and nonlinear decomposition to examine how individual, healthcare access and quality, and community factors explain racial-ethnic disparities in MOUD receipt among Medicaid-enrolled women with OUD who had a live birth from 2011 to 2017. The exposure was self-reported race and ethnicity. The outcomes were any MOUD receipt during pregnancy or postpartum. All factors included were identified from the literature. RESULTS: Racial-ethnic disparities in individual, healthcare access and quality, and community factors explained 15.8% of the racial-ethnic disparity in MOUD receipt during pregnancy and 68.9% of the disparity in the postpartum period. Despite comparable healthcare utilization, non-White/Hispanic women were diagnosed with OUD 37 days later in pregnancy, on average, than non-Hispanic White women, which was the largest contributor to the racial-ethnic disparity in MOUD receipt during pregnancy (111.0%). The racial-ethnic disparity in MOUD receipt during pregnancy was the largest contributor (112.2%) to the racial-ethnic disparity in MOUD in the postpartum period. CONCLUSIONS: Later diagnosis of OUD in pregnancy among non-White/Hispanic women partially explains the disparities in MOUD receipt in this population. Universal substance use screening earlier in pregnancy, combined with connecting patients to evidence-based and culturally competent care, is one approach that could close the observed racial-ethnic disparity in MOUD receipt.

Adverse Cardiovascular Events Following Severe Maternal Morbidity.

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.

Use of Medications for Treatment of Opioid Use Disorder Among US Medicaid Enrollees in 11 States, 2014-2018.

Importance: There is limited information about trends in the treatment of opioid use disorder (OUD) among Medicaid enrollees. Objective: To examine the use of medications for OUD and potential indicators of quality of care in multiple states. Design, Setting, and Participants: Exploratory serial cross-sectional study of 1 024 301 Medicaid enrollees in 11 states aged 12 through 64 years (not eligible for Medicare) with International Classification of Diseases, Ninth Revision (ICD-9 or ICD-10) codes for OUD from 2014 through 2018. Each state used generalized estimating equations to estimate associations between enrollee characteristics and outcome measure prevalence, subsequently pooled to generate global estimates using random effects meta-analyses. Exposures: Calendar year, demographic characteristics, eligibility groups, and comorbidities. Main Outcomes and Measures: Use of medications for OUD (buprenorphine, methadone, or naltrexone); potential indicators of good quality (OUD medication continuity for 180 days, behavioral health counseling, urine drug tests); potential indicators of poor quality (prescribing of opioid analgesics and benzodiazepines). Results: In 2018, 41.7% of Medicaid enrollees with OUD were aged 21 through 34 years, 51.2% were female, 76.1% were non-Hispanic White, 50.7% were eligible through Medicaid expansion, and 50.6% had other substance use disorders. Prevalence of OUD increased in these 11 states from 3.3% (290 628 of 8 737 082) in 2014 to 5.0% (527 983 of 10 585 790) in 2018. The pooled prevalence of enrollees with OUD receiving medication treatment increased from 47.8% in 2014 (range across states, 35.3% to 74.5%) to 57.1% in 2018 (range, 45.7% to 71.7%). The overall prevalence of enrollees receiving 180 days of continuous medications for OUD did not significantly change from the 2014-2015 to 2017-2018 periods (-0.01 prevalence difference, 95% CI, -0.03 to 0.02) with state variability in trend (90% prediction interval, -0.08 to 0.06). Non-Hispanic Black enrollees had lower OUD medication use than White enrollees (prevalence ratio [PR], 0.72; 95% CI, 0.64 to 0.81; P < .001; 90% prediction interval, 0.52 to 1.00). Pregnant women had higher use of OUD medications (PR, 1.18; 95% CI, 1.11-1.25; P < .001; 90% prediction interval, 1.01-1.38) and medication continuity (PR, 1.14; 95% CI, 1.10-1.17, P < .001; 90% prediction interval, 1.06-1.22) than did other eligibility groups. Conclusions and Relevance: Among US Medicaid enrollees in 11 states, the prevalence of medication use for treatment of opioid use disorder increased from 2014 through 2018. The pattern in other states requires further research.

Outcomes associated with the use of medications for opioid use disorder during pregnancy.

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 (< 37 weeks gestation), (4) term low birth weight (< 2500 g at ≥ 37 weeks) and (5) neonatal abstinence syndrome (NAS). Our primary exposure was the duration (count of weeks) of any MOUD use, including methadone or buprenorphine, during pregnancy. FINDINGS: Among 13 320 pregnancies, 306 (2.3%) were complicated by an overdose, 1753 (13.2%) resulted in a preterm birth and 6787 (50.9%) continued MOUD postpartum. Among infants, 874 (7.6%) were low birth weight at term and 7706 (57.9%) were diagnosed with NAS. As the duration of MOUD use increased, we found a statistically significant decrease in the rate of overdose and preterm birth, a statistically significant increase in the rate of postpartum MOUD continuation and NAS and a decline in term low birth weight. Specifically, for each additional week of MOUD, the adjusted odds of overdose decreased by 2% [adjusted odds ratio (aOR) = 0.98; 95% confidence interval (CI) = 0.97, 0.99], preterm birth decreased by 1% (aOR = 0.99; 95% CI = 0.99, 1.00), postpartum MOUD continuation increased by 95% (aOR = 1.95; 95% CI = 1.87, 2.04) and NAS increased by 41% (aOR = 1.41; 95% CI = 1.35, 1.47). The odds of term low birth weight did not change (aOR = 1.00; 95% CI = 0.99, 1.00), although the rate declined with a longer duration of MOUD use during pregnancy. CONCLUSIONS: Longer duration of medication for opioid use disorder use during pregnancy appears to be associated with improved maternal and perinatal outcomes.

Emergency Department and Ambulatory Care Visits in the First Twelve Months of Coverage Under Medicaid Expansion: A Group-Based Trajectory Analysis.

STUDY OBJECTIVE: More than 17 million people have gained health insurance coverage through the Patient Protection and Affordable Care Act's Medicaid expansion. Few studies have examined heterogeneity within the Medicaid expansion population. We do so based on time-varying patterns of emergency department (ED) and ambulatory care use, and characterize diagnoses associated with ED and ambulatory care visits to evaluate whether certain diagnoses predominate in individual trajectories. METHOD: We used group-based multitrajectory modeling to jointly estimate trajectories of ambulatory care and ED utilization in the first 12 months of enrollment among Pennsylvania Medicaid expansion enrollees from 2015 to 2017. RESULTS: Among 601,877 expansion enrollees, we identified 6 distinct groups based on joint trajectories of ED and ambulatory care use. Mean ED use varied across groups from 3.4 to 48.7 visits per 100 enrollees in the first month and between 2.8 and 44.0 visits per 100 enrollees in month 12. Mean ambulatory visit rates varied from 0.0 to 179 visits per 100 enrollees in the first month and from 0.0 to 274 visits in month 12. Rates of ED visits did not change over time, but rates of ambulatory care visits increased by at least 50% among 4 groups during the study period. Groups varied on chronic condition diagnoses, including mental health and substance use disorders, as well as diagnoses associated with ambulatory care visits. CONCLUSION: We found substantial variation in rates of ED and ambulatory care use across empirically defined subgroups of Medicaid expansion enrollees. We also identified heterogeneity among the diagnoses associated with these visits. This data-driven approach may be used to target resources to encourage efficient use of ED services and support engagement with ambulatory care clinicians.

Association of Chain Restaurant Advertising Spending With Obesity in US Adults.

Importance: Restaurants spend billions of dollars on marketing. However, little is known about the association between restaurant marketing and obesity risk in adults. Objective: To examine associations between changes in per capita county-level restaurant advertising spending over time and changes in objectively measured body mass index (BMI) for adult patients. Design, Setting, and Participants: This cohort study used regression models with county fixed effects to examine associations between changes in per capita county-level (370 counties across 44 states) restaurant advertising spending over time with changes in objectively measured body mass index (BMI) for US adult patients from 2013 to 2016. Different media types and restaurant types were analyzed together and separately. The cohort was derived from deidentified patient data obtained from athenahealth. The final analytic sample included 5 987 213 patients, and the analysis was conducted from March 2018 to November 2019. Exposure: Per capita county-level chain restaurant advertising spending. Main Outcomes and Measures: Individual-level mean BMI during the quarter. Results: The included individuals were generally older (37.1% older than 60 years), female (56.8%), and commercially insured (53.5%). For the full population of 29 285 920 person-quarters, there was no association between changes in all restaurant advertising per capita (all media types, all restaurants) and changes in BMI. However, restaurant advertising spending was positively associated with weight gain for patients in low-income counties but not in high-income counties. A $1 increase in quarterly advertising per capita across all media and restaurant types was associated with a 0.053-unit increase in BMI (95% CI, 0.001-0.102) for patients in low-income counties, corresponding to a 0.12% decrease in BMI at the 10th percentile of changes in county advertising spending vs a 0.12% increase in BMI at the 90th percentile. Conclusions and Relevance: The results of this study suggest that restaurant advertising is associated with modest weight gain among adult patients in low-income counties. To date, there has been no public policy action or private sector action to limit adult exposure to unhealthy restaurant advertising. Efforts to decrease restaurant advertising in low-income communities should be intensified and rigorously evaluated to understand their potential for increasing health equity.

Polysubstance Use Among Pregnant Women With Opioid Use Disorder in the United States, 2007-2016.

OBJECTIVE: To assess trends in polysubstance use among pregnant women with opioid use disorder in the United States. METHODS: We conducted a time trend analysis of pooled, cross-sectional data from the National Inpatient Sample, an annual nationally representative sample of U.S. hospital discharge data. Among 38.0 million females aged 15-44 years with a hospitalization for delivery from 2007 to 2016, we identified 172,335 pregnant women with an International Classification of Diseases, Ninth Revision, Clinical Modification or International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis of opioid use disorder. Polysubstance use among pregnant women with opioid use disorder was defined as at least one co-occurring diagnosis of other substance use, including alcohol, amphetamine, cannabis, cocaine, sedative, or tobacco. We fit weighted multivariable logistic regression models to produce nationally representative estimates, including an interaction between year and rural compared with urban county of residence; controlled for age, race, and insurance type. Average predicted probabilities and 95% CIs were derived from regression results. RESULTS: Polysubstance use among women with opioid use disorder increased from 60.5% (95% CI 58.3-62.8%) to 64.1% (95% CI 62.8%-65.3%). Differential time trends in polysubstance use among women with opioid use disorder were found in rural compared with urban counties. Large increases in amphetamine use occurred among those in both rural and urban counties (255.4%; 95% CI 90.5-562.9% and 150.7%; 95% CI 78.2-52.7%, respectively), similarly to tobacco use (30.4%; 95% CI 16.9-45.4% and 23.2%; 95% CI 15.3-31.6%, respectively). Cocaine use diagnoses declined among women with opioid use disorder at delivery in rural (-70.5%; 95% CI -80.4% to -55.5%) and urban (-61.9%; 95% CI -67.6% to -55.1%) counties. Alcohol use diagnoses among those with opioid use disorder declined -57% (95% CI -70.8% to -37.7%) in urban counties but did not change among those in rural counties. CONCLUSION: Over the past decade, polysubstance use among pregnant women with opioid use disorder has increased more rapidly in rural compared with urban counties in the United States, with amphetamines and tobacco use increasing most rapidly.

Impact of Changes in Chain Restaurant Calories over Time on Obesity Risk.

BACKGROUND: Prior research on the restaurant environment and obesity risk is limited by cross-sectional data and a focus on specific geographic areas. OBJECTIVE: To measure the impact of changes in chain restaurant calories over time on body mass index (BMI). DESIGN: We used a first-difference model to examine whether changes from 2012 to 2015 in chain restaurant calories per capita were associated with percent changes in BMI. We also examined differences by race and county income, restaurant type, and initial body weight categories. SETTING: USA (207 counties across 39 states). PARTICIPANTS: 447,873 adult patients who visited an athenahealth medical provider in 2012 and 2015 where BMI was measured. MAIN OUTCOMES MEASURED: Percent change in objectively measured BMI from 2012 to 2015. RESULTS: Across all patients, changes in chain restaurant calories per capita were not associated with percent changes in BMI. For Black or Hispanic adults, a 10% increase in exposure to chain restaurant calories per capita was associated with a 0.16 percentage-point increase in BMI (95% CI 0.03, 0.30). This translates into a predicted weight increase of 0.89 pounds (or a 0.53% BMI increase) for an average weight woman at the 90th percentile of increases in the restaurant environment from 2012 to 2015 versus an increase 0.39 pounds (or 0.23% BMI increase) at the 10th percentile. Greater increases in exposure to chain restaurant calories also significantly increased BMI for Black or Hispanic adults receiving healthcare services in lower-income counties (0.26, 95% CI 0.04, 0.49) and with overweight/obesity (0.16, 95% CI 0.04, 0.29). LIMITATIONS: Generalizability to non-chain restaurants is unknown and the sample of athenahealth patients is relatively homogenous. CONCLUSIONS: Increased exposure to chain restaurant calories per capita was associated with increased weight gain among Black or Hispanic adults.

Five-Year Outcomes Among Medicaid-Enrolled Children With In Utero Opioid Exposure.

The health of women and children affected by opioid use disorder is a priority for state Medicaid programs. Little is known about longer-term outcomes among Medicaid-enrolled children exposed to opioids in utero. We examined well-child visit use and diagnoses of pediatric complex chronic conditions in the first five years of life among children with opioid exposure, tobacco exposure, or neither exposure in utero. The sample consisted of 82,329 maternal-child dyads in the Pennsylvania Medicaid program in which the children were born in the period 2008-11 and followed up for five years. Children with in utero opioid exposure had a lower predicted probability of recommended well-child visit use at age fifteen months (42.1 percent) compared to those with tobacco exposure (54.1 percent) and those with neither exposure (55.7 percent). Children with in utero opioid exposure had a predicted probability of being diagnosed with a pediatric complex chronic condition similar to that among children with tobacco exposure and those with neither exposure (20.4 percent, 18.7 percent, and 20.2 percent, respectively). Our findings were consistent when we examined a subgroup of opioid-exposed children identified as having neonatal opioid withdrawal symptoms.

Sugary Drink Consumption Among Children by Supplemental Nutrition Assistance Program Status.

INTRODUCTION: The Supplemental Nutrition Assistance Program is the largest U.S. federally funded nutrition assistance program, providing food assistance to more than 40 million low-income Americans, half of whom are children. This paper examines trends in sugar-sweetened beverage consumption among U.S. children and adolescents by Supplemental Nutrition Assistance Program participation status. METHODS: Dietary data from 15,645 participants (aged 2-19 years) were obtained from the 2003-2014 National Health and Nutrition Examination surveys. Supplemental Nutrition Assistance Program participation was categorized as: Supplemental Nutrition Assistance Program participant, income-eligible nonparticipant, lower income-ineligible nonparticipant, and higher income-ineligible nonparticipant. Survey-weighted logistic regressions estimated predicted probabilities of daily sugar-sweetened beverage consumption, and negative binomial regressions estimated predicted per capita daily consumption of sugar-sweetened beverage calories. Data were analyzed in 2019. RESULTS: From 2003 to 2014, there were significant declines across all Supplemental Nutrition Assistance Program participation categories for sugar-sweetened beverage consumption (participants: 84.2% to 75.6%, p=0.009; income-eligible nonparticipants: 85.8% to 67.5%, p=0.004; lower income-ineligible nonparticipants: 84.3% to 70.6%, p=0.026; higher income-ineligible nonparticipants: 82.2% to 67.7%, p=0.001) and per capita daily sugar-sweetened beverage calories (participants: 267 to 182 kilocalories, p<0.001; income-eligible nonparticipants: 269 to 168 kilocalories, p<0.001; lower income-ineligible nonparticipants: 249 to 178 kilocalories, p=0.008; higher income-ineligible nonparticipants: 244 to 161 kilocalories, p<0.001). Per capita sports/energy drink consumption increased among Supplemental Nutrition Assistance Program participants (2 to 15 kilocalories, p=0.007). CONCLUSIONS: Sugar-sweetened beverage consumption has declined for children and adolescents in all Supplemental Nutrition Assistance Program participation categories, but current levels remain high. There were fewer favorable trends over time for consumption of sugar-sweetened beverage subtypes among Supplemental Nutrition Assistance Program participants relative to other participant categories.

Association between Opioid Prescribing in Medicare and Pharmaceutical Company Gifts by Physician Specialty.

BACKGROUND: The association between pharmaceutical industry promotion and physician opioid prescribing is poorly understood. Whether the influence of industry gifts on prescribing varies by specialty is unknown. OBJECTIVE: To examine the relationship between opioid-related gifts to physicians and opioid prescribing in the subsequent year across 7 physician specialties. DESIGN: Panel study using data from 2014 to 2016. PARTICIPANTS: 236,103 unique Medicare Part D physicians (389,622 physician-years) who received any gifts from pharmaceutical companies measured using Open Payments and prescribed opioids in the subsequent year. MAIN MEASURES: Amounts paid by pharmaceutical companies for opioid-related gifts including meals and lodging; quartile of opioid prescribing as a percent of total prescribing compared with other same-specialty physicians. KEY RESULTS: In 2014-2015, 14.1% of physician received opioid-related gifts from the industry with 2.6% receiving > $100. Gifts varied by specialty and were concentrated among two pharmaceutical companies responsible for 60% of the value of opioid-related gifts. Receiving opioid-related gifts was associated with greater prescribing of opioids compared with same-specialty physicians in the next year. Primary care physicians are nearly 3.5 times as likely to be in the highest quartile of prescribing versus the lower quartiles if they were paid ≥ $100. Psychiatrists and neurologists were 7 to 13 times as likely to be in a higher quartile of opioid prescribing compared with colleagues who were paid $0 in the preceding year. CONCLUSIONS: The value of opioid-related gifts given to physicians varies substantially by provider specialty, as does the relationship between payment amounts and prescriber behavior in the following year.

Trends in Calories and Nutrients of Beverages in U.S. Chain Restaurants, 2012-2017.

INTRODUCTION: Although beverages comprise one third of all menu items at large chain restaurants, no prior research has examined trends in their calorie and nutrient content. METHODS: Beverages (n=13,879) on the menus of 63 U.S. chain restaurants were the final analytic sample obtained from a restaurant nutrition database (MenuStat, 2012-2017). For each beverage type, cluster-bootstrapped mixed-effects regressions estimated changes in mean calories, sugar, and saturated fat for beverages available on menus in all years and for newly introduced beverages. Data were analyzed in 2018. RESULTS: Traditional sugar-sweetened beverages, sweetened teas, and blended milk-based beverages (e.g., milkshakes) were significantly higher in calories from 2012 to 2017 for newly introduced beverages (p-value for trend <0.004). For all newly introduced sweetened beverages, sugar increased significantly (2015, +7.9 g; 2016, +8.2 g; p<0.004) whereas saturated fat declined (2016, -2.3 g; 2017, -1.6 g; p<0.004). For beverages on menus in all years, saturated fat declined significantly (p<0.001), whereas mean calories and sugar remained relatively constant. Significant declines were observed for sweetened coffees (-10 kcal, -0.5 g saturated fat, p<0.001), teas (-2.6 g sugar, p=0.001), and blended milk-based beverages (-28 kcal, -4.2 g sugar, -0.8 g saturated fat, p<0.001). From 2012 to 2017, the total number of beverage offerings increased by 155%, with 82% of this change driven by sweetened beverages. CONCLUSIONS: Sweetened beverages available in large chain restaurants were consistently high in calories, sugar, and saturated fat and substantially increased in quantity and variety from 2012 to 2017.