Emerging Trends in Cannabis Administration Among Adolescent Cannabis Users

PURPOSE

The legal landscape of cannabis availability and use in the United States is rapidly changing. As the heterogeneity of cannabis products and methods of use increases, more information is needed on how these changes affect use, especially in vulnerable populations such as youth.

METHODS

A national sample of adolescents aged 14-18 years (N = 2,630) were recruited online through advertisements displayed on Facebook and Instagram to complete a survey on cannabis. The survey assessed patterns of edible use, vaping, and smoking cannabis, and the associations among these administration routes and use of other substances.

RESULTS

The most frequent and consistent route of cannabis use was smoking (99% lifetime), with substantial numbers reporting vaping (44% lifetime) and edible use (61% lifetime). The majority of those who had experimented with multiple routes of cannabis administration continued to prefer smoking, and the most common pattern of initiation was smoking, followed by edibles and then vaping. In addition to cannabis use, adolescents reported high rates of nicotine use and substantial use of other substances. Adolescents who used more cannabis administration routes tended to also report higher frequency of other substances tried.

CONCLUSIONS

Additional work is needed to determine whether the observed adolescent cannabis administration patterns are similar across different samples and sampling methods as well as how these trends change over time with extended exposure to new products and methods. The combined knowledge gained via diverse sampling strategies will have important implications for the development of regulatory policy and prevention and intervention efforts.

Buprenorphine waiver uptake among nurse practitioners and physician assistants: The role of existing waivered prescriber supply

BACKGROUND

Buprenorphine is an effective pharmacotherapy for the treatment of opioid use disorder (OUD), but recent increases in the rate of OUD in the U.S. have outpaced the supply of clinicians waivered to prescribe buprenorphine. To increase the supply of buprenorphine prescribers, the Comprehensive Addiction and Recovery Act expanded buprenorphine prescribing waiver eligibility beyond physicians to nurse practitioners (NP) and physician assistants (PA) in 2017. Little is known about patterns of waiver uptake among NPs and PAs. This study examined associations between the existing supply of waivered prescribers and waiver uptake among NPs and PAs in U.S. states.

METHODS

NP and PA waiver uptake was evaluated as the number of NPs or PAs obtaining an initial buprenorphine prescribing waiver per 10,000 state residents from January 2017 to December 2018 using data from the Buprenorphine Waiver Notification System. NP and PA waiver uptake was estimated as a function of existing waivered prescriber supply, OUD treatment capacity, and other state characteristics using generalized least squares (GLS) regression.

RESULTS

28,010 NPs and PAs have become waivered to prescribe buprenorphine since January 2017. GLS regressions indicated that waivered prescriber supply was significantly, positively associated with both NP (b = 0.101 p < 0.001) and PA (b = 0.030, p < 0.001) waiver uptake. Results suggest an addition of ten waivered prescribers to existing supply was associated with an increase of one waivered NP, and an addition of thirty-three waivered prescribers to existing supply was associated with an increase of one waivered PA.

CONCLUSIONS

NP and PA waiver uptake is strongly associated with the existing supply of waivered prescribers in a state, suggesting NPs and PAs may be more likely to acquire waivers in states with a high existing supply of buprenorphine prescribers. Additional policy solutions are needed to scale up the supply of buprenorphine prescribers in underserved states.

State Variation in Severe Maternal Morbidity Among Individuals With Medicaid Insurance

OBJECTIVE

To measure variation in delivery-related severe maternal morbidity (SMM) among individuals with Medicaid insurance by state and by race and ethnicity across and within states.

METHODS

We conducted a pooled, cross-sectional analysis of the 2016-2018 TAF (Transformed Medicaid Statistical Information System Analytic Files). We measured overall and state-level rates of SMM without blood transfusion for all individuals with Medicaid insurance with live births in 49 states and Washington, DC. We also examined SMM rates among non-Hispanic Black and non-Hispanic White individuals with Medicaid insurance in a subgroup of 27 states (and Washington, DC). We generated unadjusted rates of composite SMM and the individual indicators of SMM that comprised the composite. Rate differences and rate ratios were calculated to compare SMM rates for non-Hispanic Black and non-Hispanic White individuals with Medicaid insurance.

RESULTS

The overall rate of SMM without blood transfusion was 146.2 (95% CI 145.1-147.3) per 10,000 deliveries (N=4,807,143). Rates of SMM ranged nearly threefold, from 80.3 (95% CI 71.4-89.2) per 10,000 deliveries in Utah to 210.4 (95% CI 184.6-236.1) per 10,000 deliveries in Washington, DC. Non-Hispanic Black individuals with Medicaid insurance (n=629,774) experienced a higher overall rate of SMM (212.3, 95% CI 208.7-215.9) compared with non-Hispanic White individuals with Medicaid insurance (n=1,051,459); (125.3, 95% CI 123.2-127.4) per 10,000 deliveries (rate difference 87.0 [95% CI 82.8-91.2]/10,000 deliveries; rate ratio 1.7 [95% CI 1.7-1.7]). The leading individual indicator of SMM among all individuals with Medicaid insurance was eclampsia, although the leading indicators varied across states and by race and ethnicity. Many states were concordant in leading indicators among the overall, non-Hispanic Black, and non-Hispanic White populations (ie, in Oklahoma sepsis was the leading indicator for all three). Most states, however, were discordant in leading indicators across the three groups (ie, in Texas eclampsia was the leading indicator overall, pulmonary edema or acute heart failure was the leading indicator among the non-Hispanic Black population, and sepsis was the leading indicator among the non-Hispanic White population).

CONCLUSION

Interventions aimed at reducing SMM and, ultimately, mortality among individuals with Medicaid insurance may benefit from the data generated from this study, which highlights states that have the greatest burden of SMM, the differences in rates among non-Hispanic Black populations compared with non-Hispanic White populations, and the leading indicators of SMM overall, by state, and by race and ethnicity.

Medicaid Subscription-Based Payment Models and Implications for Access to Hepatitis C Medications

Question

Did the use of direct-acting antiviral hepatitis C virus (HCV) medications change after implementation of subscription-based payment models for these drugs in Washington and Louisiana?

Findings

In this cross-sectional study, Louisiana experienced a 534.5% increase in HCV prescription fills after implementation of a subscription-based payment model, but no significant change in prescription fills was observed in Washington.

Meaning

In this study, subscription-based payment models in Louisiana and Washington were differentially associated with use of Medicaid-covered HCV medications, which may reflect state-level differences in implementation, historical restrictions on access to these medications, and responses to the COVID-19 pandemic.

Importance

Hepatitis C virus (HCV) can be cured with direct-acting antiviral medications, but state Medicaid programs often restrict access to these lifesaving medications owing to their high costs. Subscription-based payment models (SBPMs), wherein states contract with a single manufacturer to supply prescriptions at a reduced price, may offer a solution that increases access. Whether SBPMs are associated with changes in HCV medication use is unknown.

Objective

To estimate changes in Medicaid-covered HCV prescription fills after Louisiana and Washington implemented SBPMs on July 1, 2019.

Design, Setting, and Participants

This cross-sectional study examined trends in prescription fills of Medicaid-covered direct-acting antiviral HCV medications in Louisiana and Washington after implementation of SBPMs. A synthetic control approach was used to compare changes in HCV prescription fills between states that did and did not implement SBPMs. The unit of analysis was state-quarter. Outpatient direct-acting antiviral HCV prescription fills from the Medicaid State Drug Utilization Data files were obtained from all 50 US states and the District of Columbia from January 1, 2017, to June 30, 2020.

Exposures

Implementation of SBPMs for Medicaid-covered direct-acting antiviral HCV medications.

Main Outcomes and Measures

Direct-acting antiviral HCV prescriptions filled per 100 000 Medicaid enrollees.

Results

In the year preceding SBPM implementation, the mean (SD) rate of quarterly HCV prescription fills per 100 000 Medicaid enrollees was 43.1 (8.6) prescriptions in Louisiana and 50.1 (4.1) in Washington. After SBPM implementation, the mean (SD) rate of quarterly HCV prescription fills per 100 000 enrollees was 206.0 (51.2) prescriptions in Louisiana and 53.9 (11.0) in Washington. In synthetic control models, SBPM implementation in Louisiana was associated with an increase of 173.5 (95% CI, 74.3-265.3) quarterly prescription fills per 100 000 Medicaid enrollees during the following year, a relative increase of 534.5% (95% CI, 228.7%-1125.0%). Washington did not experience a significant change in prescription fills following SBPM implementation.

Conclusions and Relevance

In this cross-sectional study, Louisiana experienced substantial increases in HCV medication use among its Medicaid-enrolled population following SBPM implementation, whereas Washington did not. These differences may partially be explained by state-level variation in SBPM implementation, historical restrictions on access to HCV medications, and responses to the COVID-19 pandemic.

County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access

The dataset summarized in this article is a combination of several of U.S. federal data resources for the years 2006-2013, containing county-level variables for opioid pill volumes, demographics (e.g. age, race, ethnicity, income), insurance coverage, healthcare demand (e.g. inpatient and outpatient service utilization), healthcare infrastructure (e.g. number of hospital beds or hospices), and the supply of various types of healthcare providers (e.g. medical doctors, specialists, dentists, or nurse practitioners). We also include indicators for states which permitted opioid prescribing by nurse practitioners. This dataset was originally created to assist researchers in identifying which factors predict per capita opioid pill volume (PCPV) in a county, whether early state Medicaid expansions increased PCPV, and PCPV's association with opioid-related mortality. Missing data were imputed using regression analysis and hot deck imputation. Non-imputed values are also reported.

Taken together, our data provide a new level of precision that may be leveraged by scholars, policymakers, or data journalists who are interested in studying the opioid epidemic. Researchers may use this dataset to identify patterns in opioid distribution over time and characteristics of counties or states which were disproportionately impacted by the epidemic. These data may also be joined with other sources to facilitate studies on the relationships between opioid pill volume and a wide variety of health, economic, and social outcomes.

Medicaid expansion and drug overdose mortality during the COVID-19 pandemic in the United States

BACKGROUND

The COVID-19 pandemic caused disruptions in the delivery of health services, which may have adversely affected access to substance use disorder (SUD) treatment services. Medicaid expansion has been previously associated with increased access to SUD services for low-income adults. Thus, the pandemic may have differentially impacted overdose mortality depending on expansion status. This study examined trends in overdose mortality nationally and by state Medicaid expansion status from 2013 to 2020.

METHODS

State-level data on overdose mortality were obtained from the Centers for Disease Control and Prevention's WONDER database for 2013-2020 (N = 408 state-years). The primary outcomes were drug and opioid overdose deaths per 100,000 residents. The primary exposure was Medicaid expansion status as of January 1st, 2020. Difference-in-difference (DID) models were used to compare changes in outcomes between expansion and non-expansion states after the onset of the COVID-19 pandemic.

RESULTS

The U.S. experienced 91,799 drug overdose deaths in 2020, a 29.9% relative increase from 2019. Expansion states experienced an adjusted increase of 7.0 drug overdose deaths per 100,000 residents (95% CI 3.3, 10.7) and non-expansion states experienced an increase of 4.3 deaths (95% CI 1.5, 8.2) from 2019 to 2020. Similar trends were observed in opioid overdose deaths. In DID models, Medicaid expansion was not associated with changes in drug (0.9 deaths, 95% CI -2.0, 3.7) or opioid overdose deaths (0.8 deaths, 95% CI -1.8, 3.5).

CONCLUSIONS

The increase in drug or opioid overdose deaths experienced during the first year of the COVID-19 pandemic was similar in states with and without Medicaid expansion.

Improving Access to High-Value, High-Cost Medicines: The Use of Subscription Models to Treat Hepatitis C Using Direct-Acting Antivirals in the United States

State payers may face financial incentives to restrict use of high-cost medications. Yet, restrictions on access to high-value medications may have deleterious effects on population health. Direct-acting antivirals (DAAs), available since 2013, can cure chronic infection with hepatitis C virus (HCV). With prices upward of $90,000 for a treatment course, states have struggled to ensure access to DAAs for Medicaid beneficiaries and the incarcerated, populations with a disproportionate share of HCV. Advance purchase commitments (APCs), wherein a payer commits to purchase a certain quantity of medications at lower prices, offer payers incentives to increase access to high-value medications while also offering companies guaranteed revenue. This article discusses the use of subscription models, a type of APC, to support increased access to high-value DAAs for treating HCV. First, the authors provide background information about HCV, its treatment, and state financing of prescription medications. They then review the implementation of HCV subscription models in two states, Louisiana and Washington, and the early evidence of their impact. The article discusses challenges to evaluating state-sponsored subscription models, and it concludes by discussing implications of subscription models that target DAAs and other high-value, high-cost medicines.

Implications of county-level variation in U.S. opioid distribution

BACKGROUND

Prescription opioids accounted for the majority of opioid-related deaths in the United States prior to 2010, and continue to contribute to opioid misuse and mortality. We used a novel dataset to investigate the distributional patterns of prescription opioids, whether opioid pill volume was associated with opioid-related mortality, and whether early state Medicaid expansions were associated with either pill volume or opioid-related mortality.

METHODS

Data on opioid shipments to retail pharmacies for 2006-2013 were obtained from the U.S. Drug Enforcement Administration, and opioid-related deaths (ORDs) were obtained from the Centers for Disease Control and Prevention. We first compared characteristics of counties in the highest and lowest quartiles for per capita pill volume (PCPV). We used adjusted difference-in-differences regression models to identify factors associated with PCPV or ORDs, and whether early state Medicaid expansions were associated with either outcome. All models were estimated as linear regressions with standard errors clustered by county, and weighted by county population.

RESULTS

We found large geographic variations in opioid distribution, and this variation appears to be driven by differences in demographics, healthcare access, and healthcare supply. In adjusted models, a one-pill increase in PCPV was associated with a 0.20 increase in ORDs per 100,000 population (95 % CI 0.11-0.30). Early Medicaid expansions were associated with lower PCPV (-2.20, 95 % CI -2.97 to -1.43).

CONCLUSIONS

Our findings validate the relationship between PCPV and ORDs, identify important environmental drivers of the opioid epidemic, and suggest early state Medicaid expansions were beneficial in reducing opioid pill volume.

Association of Medicaid Managed Care Drug Carve Outs With Hepatitis C Virus Prescription Use

Importance

Medicaid enrolls a disproportionate share of US adults with hepatitis C virus (HCV), and most receive Medicaid benefits through managed care organizations (MCOs). Medicaid MCOs often impose stricter requirements to access HCV medications than traditional fee-for-service Medicaid, which may inhibit use. Though Medicaid MCOs generally cover prescription drugs, several states have carved out direct-acting antiviral HCV medications from MCO coverage and opted to cover them under fee-for-service. Whether these carve outs were associated with changes in medication use is unknown.

Objective

To examine the association between Medicaid-covered HCV medication fills and carve outs of these medications from MCO coverage.

Design Setting and Participants

This cross-sectional study examined changes in fills of Medicaid-covered direct-acting antiviral HCV medications in 4 states (Indiana, Michigan, New Hampshire, and West Virginia) that carved out these drugs from Medicaid MCOs between 2015 and 2017. A synthetic control approach was used to compare changes in HCV prescription fills between states that did and did not carve out these medications from MCO prescription drug coverage. Data of direct-acting antiviral HCV prescription fills were obtained from the Medicaid State Drug Utilization Data files, January 2015 to June 2020. Data analysis was conducted from November 2020 to June 2021.

Exposures

Carve outs of direct-acting antiviral HCV medications from Medicaid MCO prescription drug coverage.

Main Outcomes and Measures

Direct-acting antiviral HCV prescriptions filled per 100 000 Medicaid enrollees.

Results

In this cross-sectional study, carve outs were associated with a mean quarterly increase of 22.1 (95% CI, 12.7-34.1) HCV prescriptions per 100 000 Medicaid enrollees, a relative increase of 86.3% compared with synthetic control states. Compared with each state's respective synthetic control, HCV prescription fills were associated with an increase of 11.5 (95% CI, 5.1-19.0) HCV prescription fills per 100 000 Medicaid enrollees per quarter in Indiana, 36.6 (95% CI, 23.5-53.9) in Michigan, 20.7 (95% CI, 11.1-32.8) in West Virginia, and 43.6 (95% CI, 25.9-68.4) in New Hampshire.

Conclusions and Relevance

In this cross-sectional study of data from 39 states and the District of Columbia, carve outs of direct-acting antiviral HCV medications from Medicaid MCO prescription drug coverage were associated with significant increases in HCV medication use. Given their clinical benefits, greater uptake of HCV medication may help improve the health of Medicaid enrollees with HCV and reduce the economic burden of untreated HCV on the US health care system.

County-Level Impact of the COVID-19 Pandemic on Excess Mortality Among U.S. Veterans: A Population-Based Study

BACKGROUND

As the novel coronavirus (COVID-19) continues to impact the world at large, Veterans of the US Armed Forces are experiencing increases in both COVID-19 and non-COVID-19 mortality. Veterans may be more susceptible to the pandemic than the general population due to their higher comorbidity burdens and older age, but no research has examined if trends in excess mortality differ between these groups. Additionally, individual-level data on demographics, comorbidities, and deaths are provided in near-real time for all enrolees of the Veterans Health Administration (VHA). These data provide a unique opportunity to identify excess mortality throughout 2020 at a subnational level, and to validate these estimates against local COVID-19 burden.

METHODS

We queried VHA administrative data on demographics and comorbidities for 11.4 million enrolees during 2016-2020. Pre-pandemic data was used to develop and cross-validate eight mortality prediction models at the county-level including Poisson, Poisson quasi-likelihood, negative binomial, and generalized estimating equations. We then estimated county-level excess Veteran mortality during 2020 and correlated these estimates with local rates of COVID-19 confirmed cases and deaths.

FINDINGS

All models demonstrated excellent agreement between observed and predicted mortality during 2016-2019; a Poisson quasi-likelihood with county fixed effects minimized median squared error with a calibration slope of 1.00. Veterans of the U.S. Armed Forces faced an excess mortality rate of 13% in 2020, which corresponds to 50,299 excess deaths. County-level estimates of excess mortality were correlated with both COVID-19 cases (R²=0.77) and deaths per 1,000 population (R²=0.59).

INTERPRETATION

We developed sub-national estimates of excess mortality associated with the pandemic and shared our data as a resource for researchers and data journalists. Despite Veterans' greater likelihood of risk factors associated with severe COVID-19 illness, their excess mortality rate was slightly lower than the general population. Consistent access to health care and the rapid expansion of VHA telemedicine during the pandemic may explain this divergence.

FUNDING

This work was supported by grants from the Department of Veterans Affairs Quality Enhancement Research Initiative [PEC 16-001]. Dr. Griffith's effort was supported in part by the Agency for Healthcare Research & Quality [K12 HS026395].

Association Between Medicaid Managed Care Coverage of Substance Use Services and Treatment Utilization

Importance

Medicaid insures a disproportionate share of adults with substance use disorder (SUD) and is thus uniquely positioned to facilitate access to care. Many enrollees receive coverage through Medicaid managed care (MMC) plans, which receive capitated payments in exchange for coverage of a defined set of benefits. Historically, coverage of substance use services has been carved out of MMC plans and financed fee-for-service (FFS) by state Medicaid programs, but in recent years, many states have opted to carve in this benefit. Little is known about whether MMC coverage of substance use services, relative to FFS coverage, is associated with changes in utilization.

Objective

To examine the association between changes in MMC coverage of substance use services and admissions for substance use treatment.

Design, Setting, and Participants

This cross-sectional study examined changes in admissions for substance use treatment in 2 states after coverage of substance use services was either carved into (Nebraska) or carved out of (Maryland) comprehensive MMC coverage. Synthetic control methods were used to compare changes in admissions between states that did and did not alter MMC coverage of substance use services. Data on substance use treatment admissions were obtained from the Treatment Episode Data Set-Admissions from 2010 to 2019.

Exposures

Carve-outs or carve-ins of coverage for both inpatient and outpatient substance use services from comprehensive MMC coverage.

Main Outcomes and Measures

Reported substance use treatment admissions per 100 000 residents and admissions by treatment type (ie, rehabilitation or residential, outpatient, and detoxification) per 100 000 residents.

Results

Maryland's carve-out was associated with an additional mean 787.1 (95% CI, 624.6-1141.7) substance use admissions per 100 000 residents during 2015 and 2016, a relative increase of 104.4% (95% CI, 64.4%-154.1%) compared with its synthetic control. This increase was concentrated among changes in outpatient services utilization. In Nebraska, the carve-in was associated with a mean decrease of 97.2 (95% CI, -23.4 to 213.6) admissions per 100 000 residents, a relative decrease of 33.2% (95% CI, -54.1% to 29.6%) compared with its synthetic control and was concentrated primarily among admissions for detoxification services.

Conclusions and Relevance

The results of this cross-sectional study suggest that carving out coverage of substance use services and financing them through FFS coverage may be associated with overall increases in treatment utilization but with heterogeneous associations across states and treatment types.

Comparing approaches to identify live births using the Transformed Medicaid Statistical Information System

OBJECTIVE

To evaluate the performance of different approaches for identifying live births using Transformed Medicaid Statistical Information System Analytic Files (TAF).

DATA SOURCES

The primary data source for this study were TAF inpatient (IP), other services (OT), and demographic and eligibility files. These data contain administrative claims for Medicaid enrollees in all 50 states and the District of Columbia from January 1, 2018 to December 31, 2018.

STUDY DESIGN

We compared five approaches for identifying live birth counts obtained from the TAF IP and OT data with the Centers for Disease Control and Prevention (CDC) Natality data-the gold standard for birth counts at the state level.

DATA COLLECTION/EXTRACTION METHODS

The five approaches used varying combinations of diagnosis and procedure, revenue, and place of service codes to identify live births. Approaches 1 and 2 follow guidance developed by the Centers for Medicare and Medicaid Services (CMS). Approaches 3 and 4 build on the approaches developed by CMS by including all inpatient hospital claims in the OT file and excluding codes related to delivery services for infants, respectively. Approach 5 applied Approach 4 to only the IP file.

PRINCIPAL FINDINGS

Approach 4, which included all inpatient hospital claims in the OT file and excluded codes related to infants to identify deliveries, achieved the best match of birth counts relative to CDC birth record data, identifying 1,656,794 live births-a national overcount of 3.6%. Approaches 1 and 3 resulted in larger overcounts of births (20.5% and 4.5%), while Approaches 2 and 5 resulted in undercounts of births (-3.4% and -6.8%).

CONCLUSIONS

Including claims from both the IP and OT files, and excluding codes unrelated to the delivery episode and those specific to services rendered to infants improves accuracy of live birth identification in the TAF data.

Changes in Health Care Access by Race, Income, and Medicaid Expansion During the COVID-19 Pandemic

BACKGROUND

The intersecting crises of the COVID-19 pandemic, job losses, and concomitant loss of employer-sponsored health insurance may have disproportionately affected health care access within minorized and lower-socioeconomic status communities.

OBJECTIVE

To describe changes in access to care during the COVID-19 pandemic, stratified by race/ethnicity, household income, and state Medicaid expansion status.

RESEARCH DESIGN

We used interrupted time series and difference-in-differences regression models, controlling for respondent characteristics and preexisting trends.

SUBJECTS

Data were extracted for all adults aged 18-64 surveyed in the 2015-2020 Behavioral Risk Factor Surveillance System (N=1,731,699) from all 50 states and the District of Columbia.

MEASURES

Our outcomes included indicators for whether respondents had any health insurance coverage or avoided seeking care because of cost within the prior year. The primary exposure was the onset of the COVID-19 pandemic in the United States in March 2020.

RESULTS

The pandemic was associated with a 1.2 percentage point (pp) decline in uninsurance for Medicaid expansion states (95% CI, -1.8, -0.6); these reductions were concentrated among respondents who were Black, multiracial, or low income. The rates of uninsurance were generally stable in nonexpansion states. The rates of avoided care because of cost fell by 3.5 pp in Medicaid expansion states (95% CI, -3.9, -3.1), and by 3.6 pp (95% CI, 4.3-2.9) in nonexpansion states. These declines were concentrated among respondents who were Hispanic, Other Race, or low income.

CONCLUSIONS

Our findings reinforce the value of Medicaid expansion as one tool to improve access to health insurance and care for marginalized and vulnerable populations.

Using Modernized Medicaid Data to Advance Evidence-Based Improvements in Maternal Health

Medicaid is the primary payor for nearly half of all births in the United States and plays a disproportionate role in covering maternity care for low-income people, rural people, and minoritized racial groups. Newly available, modernized Medicaid claims data-the Transformed Medicaid Statistical Information System Analytic Files (TAF)-offer a significant opportunity to conduct novel research that can drive the development of evidence-based programs and policies for Medicaid beneficiaries before, during, and after pregnancy. Yet, the public health research community has so far underused the TAF for maternal health research. We provide an overview of the TAF and how they compare to other major data sets available to study maternal health. We highlight some major limitations of the TAF and offer strategies to maximize the potential of these novel data to accelerate timely, rigorous research to improve maternal health and health equity. (Am J Public Health. 2023;113(7):805-810. https://doi.org/10.2105/AJPH.2023.307287).

Mental health service use in a national sample of college students with co-occurring depression or anxiety and substance use

INTRODUCTION

Campus health systems can provide timely and accessible resources for students with co-occurring substance use and mental illness, but little is known about the degree to which students use these systems. This study examined mental health service utilization among students with symptoms of anxiety or depression, stratified by substance use.

METHODS

This cross-sectional study used data came from the 2017-2020 Healthy Minds Study. Mental health service use was examined among students with clinically significant anxiety or depression (N = 65,969), stratified by substance use type (no use, alcohol or tobacco use, marijuana use, other drug use). We performed a series of weighted logistic regressions to assess the adjusted association of substance use type with past year use of campus, off-campus outpatient, emergency department, and hospital mental health services.

RESULTS

Among students, 39.3% reported exclusive use of alcohol or tobacco, 22.9% reported use of marijuana, and 5.9% reported use of other drugs. Use of alcohol or tobacco was not associated with mental health service utilization, while students who use marijuana faced increased odds of campus (OR 1.10, 95% CI 1.01, 1.20) and off-campus outpatient mental health service utilization (OR 1.27, 95% CI 1.17, 1.37). Other drug use was associated with increased odds of off-campus outpatient (OR 1.28, 95% CI 1.14, 1.48), emergency department (OR 2.13, 95% CI 1.50, 3.03) and hospital service utilization (OR 1.52, 95% CI 1.13, 2.04).

CONCLUSIONS

Universities should consider screening for substance use and common mental illnesses to support the health of high-risk students.

Effect of a Veterans Health Administration mandate to case review patients with opioid prescriptions on mortality among patients with opioid use disorder: a secondary analysis of the STORM randomized control trial

AIMS

The Veterans Health Administration (VHA) implemented the Stratification Tool for Opioid Risk Mitigation (STORM) to reduce the risk of serious adverse events (SAE) among patients with opioid analgesic prescriptions. VHA facilities were mandated to case review patients identified as high risk by STORM. The aim of this study was to measure the effect of this mandate on all-cause mortality and SAEs among VHA patients newly diagnosed with opioid use disorder (OUD).

DESIGN

Secondary analysis of a stepped-wedged cluster randomized controlled trial conducted at all 140 VHA facilities, with facility as the unit of randomization, from 2018 to 2020.

SETTING AND PARTICIPANTS

United States VHA facilities were randomized to case review the top 1 or 5% of high-risk patients prescribed opioid analgesics identified by STORM. A total of 28 251 patients were diagnosed with OUD during the trial and were considered control or treatment depending on the status of the facility where they received their OUD diagnosis. Post-hoc analyses among patients who had at least one opioid analgesic prescription in the 90 days prior to diagnosis were conducted and were then stratified by receipt of a prescription in the 90 days following diagnosis to assess the sensitivity of results to opioid discontinuation.

MEASUREMENTS

All-cause mortality and opioid-related, drug-related, suicide-related and other SAEs within 90 days of OUD diagnosis.

FINDINGS

Mandated case review increased the odds of 90-day mortality [odds ratio (OR) = 1.74, 95% confidence interval (CI) = 1.06, 2.87], but did not significantly change the odds of SAEs. Among patients who received an opioid prescription prior to but not after OUD diagnosis, the odds of all-cause mortality within 90 days was 5.87 (95% CI = 1.85, 18.58) relative to control patients.

CONCLUSIONS

Veterans Health Administration patients newly diagnosed with opioid use disorder experienced increased all-cause mortality following expansion of a case review mandate for high-risk patients prescribed opioids.

Severe Maternal Morbidity Among Pregnant People With Opioid Use Disorder Enrolled in Medicaid

Importance

Pregnant people with opioid use disorder (OUD) are at high risk for potentially avoidable maternal morbidity. The majority of pregnant people with OUD receive health insurance through state Medicaid programs, but there is little comprehensive data on the burden of severe maternal morbidity (SMM)-a composite measure of adverse maternal health outcomes-among this high-risk group.

Objective

To estimate rates of SMM among Medicaid-enrolled pregnant people with OUD from 2016 to 2018.

Design, Setting, and Participants

Using the Transformed Medicaid Statistical Information System Analytic Files, this cross-sectional study identified 96 309 pregnant people with OUD enrolled in Medicaid in 47 states with 108 975 deliveries between March 1, 2016, and November 16, 2018. Data were analyzed from August 1, 2023, to September 1, 2024.

Main Outcome and Measures

SMM was identified using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis and procedure codes for 20 relevant conditions and was measured per 10 000 live births nationally and by state. Rates of SMM were also stratified by the timing of Medicaid enrollment before delivery.

Results

From 2016 to 2018, 96 309 Medicaid enrollees had a diagnosis of OUD before a live birth (108 975 deliveries). The mean (SD) age of Medicaid-enrolled pregnant people with OUD was 28.8 (5.0) years. The mean (SD) rate of OUD among pregnant people enrolled in Medicaid was 324.8 (260.9) per 10 000 live births across states. Among this group, the mean (SD) unadjusted rate of SMM excluding blood transfusions among those with OUD was 292.1 (112.3) per 10 000 live births, with these rates varying substantially across states, from 101.0 per 10 000 live births in South Dakota to 682.2 per 10 000 live births in California. Adjustment for enrollee characteristics and comorbidities did not meaningfully alter the estimated rate of SMM (305.6 [95% CI, 245.2-408.2] per 10 000 live births). Rates of SMM generally increased with decreased durations of Medicaid enrollment.

Conclusions and Relevance

This cross-sectional study of pregnant people enrolled in Medicaid found that the rate of OUD among this group was more than twice as high as previous estimates. Pregnant people with OUD face a disproportionately high risk of SMM, particularly those who enroll in Medicaid later in pregnancy. Targeted interventions that facilitate early Medicaid enrollment and coverage continuity may be needed to reduce the burden of adverse outcomes in this group.

State-Level Variation in Supplemental Maternity Kick Payments in Medicaid Managed Care

This cross-sectional study assesses the prevalence and magnitude of state-level delivery event–triggered kick payments to Medicaid managed care plans and their association with delivery costs.

Excess Mortality at Veterans Health Administration Facilities During the COVID-19 Pandemic

IMPORTANCE

The COVID-19 pandemic resulted in excess mortality among the general US population and at Veterans Health Administration (VHA) facilities. It is critical to understand the characteristics of facilities that experienced the highest and lowest pandemic-related mortality to inform future mitigation efforts.

OBJECTIVE

To identify facility-level excess mortality during the pandemic and to correlate these estimates with facility characteristics and community-wide rates of COVID-19 burden.

DESIGN

We used pre-pandemic data to estimate mortality risk prediction models using 5-fold cross-validation and Poisson quasi-likelihood regression. We then estimated excess mortality and observed versus expected (O/E) mortality ratios by the VHA facility from March to December 2020. We examined facility-level characteristics by excess mortality quartile.

PARTICIPANTS

Overall, there were 11.4 million VHA enrollees during 2016 and 2020.

MAIN MEASURES

Facility-level O/E mortality ratios and excess all-cause mortality.

RESULT

VHA-enrolled veterans experienced 52,038 excess deaths from March to December 2020, equating to 16.8% excess mortality. Facility-specific rates ranged from -5.5% to +63.7%. Facilities in the lowest quartile for excess mortality experienced fewer COVID-19 deaths (0.7-1.51, P <0.001) and cases (52.0-63.0, P =0.002) per 1,000 population compared with the highest quartile. The highest quartile facilities had more hospital beds (276.7-187.6, P =0.024) and a higher percent change in the share of visits conducted via telehealth from 2019 to 2020 (183%-133%, P <0.008).

CONCLUSIONS

There was a large variation in mortality across VHA facilities during the pandemic, which was only partially explained by the local COVID-19 burden. Our work provides a framework for large health care systems to identify changes in facility-level mortality during a public health emergency.

Opioid misuse and mental health in college student populations: A national assessment

BACKGROUND

Despite growing concern about opioid misuse and mental health of college students, little is known about this population who are at high risk of co-occurrence and unmet needs. This national study aims to estimate the prevalence of opioid misuse, examine correlates with anxiety and depression symptoms, and quantify help-seeking behaviors among U.S. college students.

METHODS

Data come from students in the Healthy Minds Study between 2017 and 2020 (n = 176,191). Validated screening tools assessed mental health symptoms (PHQ-9, GAD-7). Marginal effects of logistic regression models estimate the effect of opioid misuse on mental health symptoms, help-seeking and academic performance.

RESULTS

782 students indicated past month opioid misuse. Student opioid misuse was associated with 24.1 percentage point increase in the probability of screening positive for anxiety/depression (p < 0.001) and 3.6 percentage point increase in the probability of informal help-seeking (p = 0.017). Less than half of students with opioid misuse and a positive depression/anxiety screen received any treatment in the past year.

LIMITATIONS

Limitations to this study include: possible non-response bias, as it is unknown whether students with opioid misuse may be differentially-likely to respond to the survey; differing time frame for opioid misuse and mental health questions; and data was collected prior to the COVID-19 pandemic.

CONCLUSIONS

This large, multi-campus study underlines the need for more partnership between substance use and mental health services on campus. It also highlights that college peers could receive training in ways to best help students who misuse opioids, directing them to on- or off-campus care.