Evictions and psychiatric treatment.

Stable housing is critical for health, employment, education, and other social outcomes. Evictions reflect a form of housing instability that is experienced by millions of Americans each year. Inadequately treated psychiatric disorders have the potential to influence evictions in several ways. For example, these disorders may impede labor market performance and thus the ability to pay rent, or increase the likelihood of risky and/or nuisance behaviors that can lead to a lease violation. We estimate the effect of local access to psychiatric treatment on eviction rates. We combine data on the number of psychiatric treatment centers that offer outpatient and residential care within a county with eviction rates in a two-way fixed-effects framework. Our findings imply that 10 additional psychiatric treatment centers in a county lead to a reduction of 2.1% in the eviction rate.

Recreational cannabis and opioid distribution.

Twenty-one U.S. states have passed recreational cannabis laws as of November 2022. Cannabis may be a substitute for prescription opioids in the treatment of chronic pain. Previous studies have assessed recreational cannabis laws' effects on opioid prescriptions financed by specific private or public payers or dispensed to a unique endpoint. Our study adds to the literature in three important ways: by (1) examining these laws' impacts on prescription opioid dispensing across all payers and endpoints, (2) adjusting for important opioid-related policies such as opioid prescribing limits, and (3) modeling opioids separately by type. We implement two-way fixed-effects regressions and leverage variation from eleven U.S. states that adopted a recreational cannabis law (RCL) between 2010 and 2019. We find that RCLs lead to a reduction in codeine dispensed at retail pharmacies. Among prescription opioids, codeine is particularly likely to be used non-medically. Thus, the finding that RCLs appear to reduce codeine dispensing is potentially promising from a public health perspective.

Medicaid reimbursement rates for primary care services and behavioral health outcomes.

We study the effects of changing Medicaid reimbursement rates for primary care services on behavioral health outcomes-defined here as mental illness and substance use disorders. Medicaid enrollees are at elevated risk for these, and other, chronic conditions and are likely to have unmet treatment needs. We apply two-way fixed-effects regressions to survey data specifically designed to measure behavioral health outcomes over the period 2010-2016. We find that higher primary care reimbursement rates reduce mental illness and substance use disorders among non-elderly adult Medicaid enrollees, although we interpret findings for substance use disorders with some caution as they may be vulnerable to differential pre-trends. Overall, our findings suggest positive spillovers from a policy designed to target primary care services to behavioral health outcomes.

Does paid sick leave encourage staying at home? Evidence from the United States during a pandemic.

We study the impact of a temporary U.S. paid sick leave mandate that became effective April 1st, 2020 on self-quarantining, proxied by physical mobility behaviors gleaned from cellular devices. We study this policy using generalized difference-in-differences methods, leveraging pre-policy county-level heterogeneity in the share of workers likely eligible for paid sick leave benefits. We find that the policy leads to increased self-quarantining as proxied by staying home. We also find that COVID-19 confirmed cases decline post-policy.

The effect of e-cigarette taxes on prepregnancy and prenatal smoking.

E-cigarette taxes are an active area of legislation and have important regulatory implications by proxying e-cigarette accessibility. We examine the effect of e-cigarette taxes on prepregnancy and prenatal smoking using the near-universe of births to mothers conceiving between 2013 and 2019 in the United States. Using fixed effect regressions, we show that e-cigarette taxes increase prepregnancy and prenatal smoking. We also find evidence that e-cigarette taxes reduce prepregnancy and 3rd trimester e-cigarette use. Finally, we show that e-cigarette taxes increase news coverage of e-cigarettes and raise perceptions of risk of e-cigarettes.

Office-based mental healthcare and juvenile arrests.

We estimate the effect of local access to office-based mental healthcare on juvenile arrest outcomes. We leverage variation in the number of offices of physicians and non-physicians specializing in mental healthcare in a county over the period 1999-2016 in a two-way fixed-effects regression. Office-based treatment is the most common modality of mental healthcare received by juveniles. We find that 10 additional offices of physicians and non-physicians specializing in mental healthcare in a county leads a decrease of 2.3%-2.6% in the per capita costs to society of juvenile arrest. Findings are similar for arrest rates although often less precise, which suggests that accounting for social costs is empirically important. Crime imposes substantial costs on society and individuals, and interventions during early life can have more pronounced effects than those received at later stages, therefore our results imply increased juvenile access to mental healthcare may have an unintended benefit for the current and future generations.

Prenatal substance use policies and newborn health.

We study the effect of punitive and priority treatment policies relating to illicit substance use during pregnancy on the rate of neonatal drug withdrawal syndrome, low birth weight, low gestational age, and prenatal care use. Punitive policies criminalize prenatal substance use, or define prenatal substance exposure as child maltreatment in child welfare statutes or as grounds for termination of parental rights. Priority treatment policies are supportive and grant pregnant women priority access to substance use disorder treatment programs. Our empirical strategy relies on administrative data from 2008 to 2018 and a difference-in-differences framework that exploits the staggered implementation of these policies. We find that neonatal drug withdrawal syndrome increases by 10%-18% following the implementation of a punitive policy. This growth is accompanied by modest reductions in prenatal care, which may reflect deterrence from healthcare utilization. In contrast, priority treatment policies are associated with small reductions in low gestational age (2%) and low birth weight (2%), along with increases in prenatal care use. Taken together, our findings suggest that punitive approaches may be associated with unintended adverse pregnancy outcomes, and that supportive approaches may be more effective for improving perinatal health.

Information and sin goods: Experimental evidence on cigarettes.

We test the importance of information source on consumer choice in the context of sin goods, specifically electronic and tobacco cigarettes, among adult smokers. We proxy choice with intentions to vape and quit smoking in the next 30 days. We experimentally vary the information source: government, private companies, physicians, and no source. Our findings suggest that information source matters in the context of cigarettes choice for adult smokers. Private companies appear to be an important information source for cigarettes among adult smokers.

Marijuana legalization and disability claiming.

We study the effect of recent legalization of recreational marijuana use laws (RMLs) in the United States on new applications and allowances for Social Security Disability Insurance and Supplemental Security Income over the period 2001-2019. We combine administrative caseload data from the Social Security Administration with state policy changes using two-way fixed-effects methods. We find that RML adoption increases applications for both benefits. However, there is no change in allowances post-RML. We provide suggestive evidence that the observed changes in applications post-RML are driven by increases in marijuana misuse and selective migration, and decreases in unemployment.

Medical marijuana and workers' compensation claiming.

We study the effect of state medical marijuana laws (MMLs) on workers' compensation (WC) claiming among adults. Medical marijuana is plausibly related to WC claiming by allowing improved symptom management, and thus reduced need for the benefit, among injured or ill workers. We use data on claiming drawn from the Annual Social and Economic supplement to the Current Population Survey over the period 1989 to 2012, coupled with a differences-in-differences design to provide the first evidence on this relationship. Our estimates show that, post MML, WC claiming declines, both the propensity to claim and the level of income from WC. These findings suggest that medical marijuana can allow workers to better manage symptoms associated with workplace injuries and illnesses and, in turn, reduce need for WC. However, the reductions in WC claiming post MML are very modest in size.

The effect of increased cost-sharing on low-value service use.

We examine the effect of a value-based insurance design (VBID) program implemented at a large public employer in the state of Oregon. The program substantially increased cost-sharing for several healthcare services likely to be of low value for most patients: diagnostic services (e.g., imaging services) and surgeries (e.g., spinal surgeries for pain). Using a difference-in-differences design coupled with granular, administrative health insurance claims data over the period 2008-2012, we estimate the change in low-value service use among beneficiaries before and after program implementation relative to a comparison group not exposed to the VBID. Our findings suggest that the VBID significantly reduced the use of targeted services, with an implied elasticity of demand of -0.22. We find no evidence that the VBID led to substitution to non-targeted services or increased overall healthcare costs. However, we also observe no evidence that the program led to cost-savings.

Integrated care models and behavioral health care utilization: Quasi-experimental evidence from Medicaid health homes.

Integration of behavioral and general medical care can improve outcomes for individuals with behavioral health conditions-serious mental illness (SMI) and substance use disorder (SUD). However, behavioral health care has historically been segregated from general medical care in many countries. We provide the first population-level evidence on the effects of Medicaid health homes (HH) on behavioral health care service use. Medicaid, a public insurance program in the United States, HHs were created under the 2010 Affordable Care Act to coordinate behavioral and general medical care for enrollees with behavioral health conditions. As of 2016, 16 states had adopted an HH for enrollees with SMI and/or SUD. We use data from the National Survey on Drug Use and Health over the period 2010 to 2016 coupled with a two-way fixed-effects model to estimate HH effects on behavioral health care utilization. We find that HH adoption increases service use among enrollees, although mental health care treatment findings are sensitive to specification. Further, enrollee self-reported health improves post-HH.

The Effect of Public Insurance Expansions on Substance Use Disorder Treatment: Evidence from the Affordable Care Act.

We examine the effect of Medicaid expansion under the Affordable Care Act (ACA) on substance use disorder (SUD) treatment utilization and financing. We combine data on admissions to specialty facilities and Medicaid-reimbursed prescriptions for medications commonly used to treat SUDs in nonspecialty outpatient settings with an event-study design. Several findings emerge from our study. First, among patients receiving specialty care, Medicaid coverage and payments increased. Second, the share of patients who were uninsured and who had treatment paid for by state and local government payments declined. Third, private insurance coverage and payments increased. Fourth, expansion also increased prescriptions for SUD medications reimbursed by Medicaid. Fifth, we find suggestive evidence that admissions to specialty treatment may have increased one or more years post-expansion. However, this finding is sensitive to specification and we observe differential pretrends between the treatment and comparison groups. Thus, our finding for admissions should be interpreted with caution.

The Effect of Medical Marijuana Laws on the Health and Labor Supply of Older Adults: Evidence from the Health and Retirement Study.

Older adults are at elevated risk of reducing labor supply due to poor health, partly because of high rates of symptoms that may be alleviated by medical marijuana. Yet, surprisingly little is known about how this group responds to medical marijuana laws (MMLs). We quantify the effects of state medical marijuana laws on the health and labor supply of adults age 51 and older, focusing on the 55 percent with one or more medical conditions with symptoms that may respond to medical marijuana. We use longitudinal data from the Health and Retirement Study to estimate event study and differences-in-differences regression models. Three principle findings emerge from our analysis. First, active state medical marijuana laws lead to lower pain and better self-assessed health among older adults. Second, state medical marijuana laws lead to increases in older adult labor supply, with effects concentrated on the intensive margin. Third, the effects of MMLs are largest among older adults with a health condition that would qualify for legal medical marijuana use under current state laws. Findings highlight the role of health policy in supporting work among older adults and the importance of including older adults in assessments of state medical marijuana laws.

Substance Use Treatment Provider Behavior and Healthcare Reform: Evidence from Massachusetts.

We examine the impact of the 2006 Massachusetts healthcare reform on substance use disorder (SUD) treatment facilities' provision of care. We test the impact of the reform on treatment quantity and access. We couple data on the near universe of specialty SUD treatment providers in the USA with a synthetic control method approach. We find little evidence that the reform lead to changes in treatment quantity or access. Reform effects were similar among for-profit and non-profit facilities. In an extension, we show that the reform altered the setting in which treatment is received, the number of offered services, and the number of programs for special populations. These findings may be useful in predicting the implications of major health insurance expansions on the provision of SUD treatment. Copyright © 2017 John Wiley & Sons, Ltd.

What factors predict the passage of state-level e-cigarette regulations?

E-cigarettes are controversial products. They may help addicted smokers to consume nicotine in a less harmful manner or to quit tobacco cigarettes entirely, but these products may also entice youth into smoking. This controversy complicates e-cigarette regulation as any regulation may lead to health improvements for some populations, and health declines for other populations. Using data from 2007 to 2016, we examine factors that are plausibly linked with U.S. state e-cigarette regulations. We find that less conservative states are more likely to regulate e-cigarettes and that states with stronger tobacco lobbies are less likely to regulate e-cigarettes. This information can help policymakers as they determine how best to promote public health through regulation.

Access to Health Insurance and Utilization of Substance Use Disorder Treatment: Evidence from the Affordable Care Act Dependent Coverage Provision.

The relationship between insurance coverage and use of specialty substance use disorder (SUD) treatment is not well understood. In this study, we add to the literature by examining changes in admissions to SUD treatment following the implementation of a 2010 Affordable Care Act provision requiring health insurers to offer dependent coverage to young adult children of their beneficiaries under age 26. We use national administrative data on admissions to specialty SUD treatment and apply a difference-in-differences design to study effects of the expansion on the rate of treatment utilization among young adults and, among those in treatment, changes in insurance status and payment source. We find that admissions to treatment declined by 11% after the expansion. However, the share of young adults covered by private insurance increased by 5.4 percentage points and the share with private insurance as the payment source increased by 3.7 percentage points. This increase was largely offset by decreased payment from government sources. Copyright © 2017 John Wiley & Sons, Ltd.

The effect of state laws designed to prevent nonmedical prescription opioid use on overdose deaths and treatment.

Nonmedical use of prescription opioids has reached epidemic levels in the United States and globally. In response, federal, state, and local governments are taking actions to address substantial increases in prescription opioid addiction and its associated harms. This study examines the effect of two state laws specifically designed to curtail access to prescription opioids to nonmedical users: pain management clinic and doctor shopping laws. We use administrative data on overdose deaths and admissions to specialty substance use disorder treatment coupled with a differences-in-differences design. Our findings suggest that both pain management clinic and doctor shopping laws have the potential to reduce prescription opioid overdose deaths. Moreover, doctor shopping laws appear to reduce prescription opioid treatment admissions. As many states have adopted these laws in recent years, the full effects of the laws may not yet be realized. Future research using more postlaw passage data should reevaluate the effectiveness of these laws.

Cigarette Taxes and Older Adult Smoking: Evidence from the Health and Retirement Study.

In this study, we use the Health and Retirement Study to test whether older adult smokers, defined as those 50 years and older, respond to cigarette tax increases. Our preferred specifications show that older adult smokers respond modestly to tax increases: a $1.00 (131.6%) tax increase leads to a 3.8-5.2% reduction in cigarettes smoked per day (implied tax elasticity = -0.03 to -0.04). We identify heterogeneity in tax elasticity across demographic groups as defined by sex, race/ethnicity, education, and marital status and by smoking intensity and level of addictive stock. These findings have implications for public health policy implementation in an aging population.

A randomized trial to identify accurate and cost-effective fidelity measurement methods for cognitive-behavioral therapy: project FACTS study protocol.

BACKGROUND: This randomized trial will compare three methods of assessing fidelity to cognitive-behavioral therapy (CBT) for youth to identify the most accurate and cost-effective method. The three methods include self-report (i.e., therapist completes a self-report measure on the CBT interventions used in session while circumventing some of the typical barriers to self-report), chart-stimulated recall (i.e., therapist reports on the CBT interventions used in session via an interview with a trained rater, and with the chart to assist him/her) and behavioral rehearsal (i.e., therapist demonstrates the CBT interventions used in session via a role-play with a trained rater). Direct observation will be used as the gold-standard comparison for each of the three methods. METHODS/DESIGN: This trial will recruit 135 therapists in approximately 12 community agencies in the City of Philadelphia. Therapists will be randomized to one of the three conditions. Each therapist will provide data from three unique sessions, for a total of 405 sessions. All sessions will be audio-recorded and coded using the Therapy Process Observational Coding System for Child Psychotherapy-Revised Strategies scale. This will enable comparison of each measurement approach to direct observation of therapist session behavior to determine which most accurately assesses fidelity. Cost data associated with each method will be gathered. To gather stakeholder perspectives of each measurement method, we will use purposive sampling to recruit 12 therapists from each condition (total of 36 therapists) and 12 supervisors to participate in semi-structured qualitative interviews. DISCUSSION: Results will provide needed information on how to accurately and cost-effectively measure therapist fidelity to CBT for youth, as well as important information about stakeholder perspectives with regard to each measurement method. Findings will inform fidelity measurement practices in future implementation studies as well as in clinical practice. TRIAL REGISTRATION: NCT02820623 , June 3rd, 2016.