Medication cost-reducing behaviors in older adults with atrial fibrillation: The SAGE-AF study.

BACKGROUND: As patient prices for many medications have risen steeply in the United States, patients may engage in cost-reducing behaviors (CRBs) such as asking for generic medications or purchasing medication from the Internet. OBJECTIVE: The objective of this study is to describe patterns of CRB, cost-related medication nonadherence, and spending less on basic needs to afford medications among older adults with atrial fibrillation (AF) and examine participant characteristics associated with CRB. METHODS: Data were from a prospective cohort study of older adults at least 65 years with AF and a high stroke risk (CHA2DS2VASc ≥ 2). CRB, cost-related medication nonadherence, and spending less on basic needs to afford medications were evaluated using validated measures. Chi-square and t tests were used to evaluate differences in characteristics across CRB, and statistically significant characteristics (P < 0.05) were entered into a multivariable logistic regression to examine factors associated with CRB. RESULTS: Among participants (N = 1224; mean age 76 years; 49% female), 69% reported engaging in CRB, 4% reported cost-related medication nonadherence, and 6% reported spending less on basic needs. Participants who were cognitively impaired (adjusted odds ratio 0.69 [95% CI 0.52-0.91]) and those who did not identify as non-Hispanic white (0.66 [0.46-0.95]) were less likely to engage in CRB. Participants who were married (1.88 [1.30-2.72]), had a household income of $20,000-$49,999 (1.52 [1.02-2.27]), had Medicare insurance (1.38 [1.04-1.83]), and had 4-6 comorbidities (1.43 [1.01-2.01]) had significantly higher odds of engaging in CRB. CONCLUSION: Although CRBs were common among older adults with AF, few reported cost-related medication nonadherence and spending less on basic needs. Patients with cognitive impairment may benefit from pharmacist intervention to provide support in CRB and patient assistance programs.

High-Deductible Health Plans Paired With Health Savings Accounts Increased Medication Cost Burden Among Individuals With Bipolar Disorder.

Objective: High-deductible health plans paired with health savings accounts (HSA-HDHPs) require substantial out-of-pocket spending for most services, including medications. We examined effects of HSA-HDHPs on medication out-of-pocket spending and use among people with bipolar disorder.Methods: This quasi-experimental study used claims data for January 2003 through December 2014. We studied a national sample of 348 members with bipolar disorder (defined based on International Classification of Diseases, 9th Revision), aged 12 to 64 years, who were continuously enrolled for 1 year in a low-deductible plan (≤ $500) then 1 year in an HSA-HDHP (≥ $1,000) after an employer-mandated switch. HSA-HDHP members were matched to 4,087 contemporaneous controls who remained in low-deductible plans. Outcome measures included out-of-pocket spending and use of bipolar disorder medications, non-bipolar psychotropics, and all other medications.Results: Mean pre-to-post out-of-pocket spending per person for bipolar disorder medications increased by 149.7% among HSA-HDHP versus control members (95% confidence interval [CI], 109.9% to 189.5%). Specifically, out-of-pocket spending increased for antipsychotics (220.9% [95% CI, 150.0% to 291.8%]) and anticonvulsants (109.6% [95% CI, 67.3% to 152.0%]). Both higher-income and lower-income HSA-HDHP members experienced increases in out-of-pocket spending for bipolar disorder medications (135.2% [95% CI, 86.4% to 184.0%] and 164.5% [95% CI, 100.9% to 228.1%], respectively). We did not detect statistically significant changes in use of bipolar disorder medications, non-bipolar psychotropics, or all other medications in this study population of HSA-HDHP members.Conclusions: HSA-HDHP members with bipolar disorder experienced substantial increases in out-of-pocket burdens for medications essential for their functioning and well-being. Although HSA-HDHPs were not associated with detectable reductions in medication use, high out-of-pocket costs could cause financial strain for lower-income enrollees.

Impact of High-Deductible Health Plans on Medication Use Among Individuals With Bipolar Disorder.

OBJECTIVE: High-deductible health plans (HDHPs) require substantial out-of-pocket spending for most services, although medications may be subject to traditional copayment arrangements. This study examined effects of HDHPs on medication out-of-pocket spending and use and quality of care among individuals with bipolar disorder. METHODS: This quasi-experimental study used claims data (2003-2014) for a national sample of 3,532 members with bipolar disorder, ages 12-64, continuously enrolled for 1 year in a low-deductible plan (≤$500) and then for 1 year in an HDHP (≥$1,000) after an employer-mandated switch. HDHP members were matched to 18,923 contemporaneous individuals in low-deductible plans (control group). Outcome measures were out-of-pocket spending and use of bipolar disorder medications, psychotropics for other disorders, and all other medications and appropriate laboratory monitoring for psychotropics. RESULTS: Relative to the control group, annual out-of-pocket spending per person for bipolar disorder medications increased 20.8% among HDHP members (95% confidence interval [CI]=14.9%-26.7%), and the absolute increase was $36 (95% CI=$25.9-$45.2). Specifically, out-of-pocket spending increased for antipsychotics (27.1%; 95% CI=17.4%-36.7%) and anticonvulsants (19.2%; 95% CI=11.9%-26.6%) but remained stable for lithium (-3.7%; 95% CI=-12.2% to 4.8%). No statistically significant changes were detected in use of bipolar disorder medications, other psychotropics, or all other medications or in appropriate laboratory monitoring for bipolar disorder medications. CONCLUSIONS: HDHP members with bipolar disorder experienced a moderate increase in out-of-pocket spending for medications but preserved bipolar disorder medication use. Findings may reflect individuals' perceptions of the importance of these medications for their functioning and well-being.

Affordability of Medical Care Among Medicare Enrollees.

Importance: Cost-sharing requirements can discourage patients from seeking care and impose financial hardship. The Medicare program serves many older and disabled individuals with multimorbidity and limited resources, but little has been known about the affordability of care in this population. Objective: To examine the affordability of medical care among Medicare enrollees, in terms of the prevalence of delaying medical care because of costs and having problems paying medical bills, and risk factors for these outcomes. Design Setting and Participants: Cross-sectional analyses conducted from November 1, 2019, to October 15, 2021, used logistic regression to compare the probability of outcomes by demographic and health characteristics. Data were obtained from the 2017 nationally representative Medicare Current Beneficiary Survey (response rate, 61.7%), with respondents representing 53 million community-dwelling Medicare enrollees. Main Outcomes and Measures: New questions about medical care affordability were included in the 2017 Medicare Current Beneficiary Survey: difficulty paying medical bills, ongoing medical debt, and contact by collection agencies. A companion survey question asked whether individuals had delayed seeking medical care because of worries about costs. Results: Respondents included 10 974 adults aged 65 years or older and 2197 aged 18 to 64 years; 54.2% of all respondents were women. The weighted proportions of Medicare enrollees with annual incomes below $25 000K were 30.7% in the older population and 67.4% in the younger group. Self-reported prevalence of delaying care because of cost was 8.3% (95% CI, 7.4%-9.1%) among enrollees aged 65 years or older, 25.2% (95% CI, 21.8%-28.6%) among enrollees younger than 65 years, and 10.9% (95% CI, 9.9%-11.9%) overall. Similarly, 7.4% (95% CI, 6.6%-8.2%) of older enrollees had problems paying medical bills, compared with 29.8% (95% CI, 25.6%-34.1%) among those younger than 65 years and 10.8% (95% CI, 9.8%-11.9%) overall. Regarding specific payment problems, 7.9% (95% CI, 7.0%-8.9%) of enrollees overall experienced ongoing medical debt, contact by a collection agency, or both. In adjusted analyses, older adults with incomes $15 000 to $25 000 per year had odds of delaying care more than twice as high as those with incomes greater than $50 000 (odds ratio, 2.47; 95% CI, 1.82-3.39), and their odds of problems paying medical bills were more than 3 times as high (odds ratio, 3.37; 95% CI, 2.81-5.21). Older adults with 4 to 10 chronic conditions were more than twice as likely to have problems paying medical bills as those with 0 or 1 condition. Conclusions and Relevance: The findings of this study suggest that unaffordability of medical care is common among Medicare enrollees, especially those with lower incomes, or worse health, or who qualify for Medicare based on disability. Policy reforms, such as caps on patient spending, are needed to reduce Medical cost burdens on the most vulnerable enrollees.

Cost-related Medication Nonadherence and Its Risk Factors Among Medicare Beneficiaries.

BACKGROUND: Unaffordability of medications is a barrier to effective treatment. Cost-related nonadherence (CRN) is a crucial, widely used measure of medications access. OBJECTIVES: Our study examines the current national prevalence of and risk factors for CRN (eg, not filling, skipping or reducing doses) and companion measures in the US Medicare population. RESEARCH DESIGN: Survey-weighted analyses included logistic regression and trends 2006-2016. SUBJECTS: Main analyses used the 2016 Medicare Current Beneficiary Survey. Our study sample of 12,625 represented 56 million community-dwelling beneficiaries. MEASURES: Additional outcome measures were spending less on other necessities in order to pay for medicines and use of drug cost reduction strategies such as requesting generics. RESULTS: In 2016, 34.5% of enrollees under 65 years with disability and 14.4% of those 65 years and older did not take their medications as prescribed due to high costs; 19.4% and 4.7%, respectively, experienced going without other essentials to pay for medicines. Near-poor older beneficiaries with incomes $15-25K had 50% higher odds of CRN (vs. >$50K), but beneficiaries with incomes <$15K, more likely to be eligible for the Part D Low-Income Subsidy, did not have significantly higher risk. Three indicators of worse health (general health status, functional limits, and count of conditions) were all independently associated with higher risk of CRN. CONCLUSIONS: Changes in the risk profile for CRN since Part D reflect the effectiveness of targeted policies. The persistent prevalence of CRN and associated risks for sicker people in Medicare demonstrate the consequences of high cost-sharing for prescription fills.

Experiences of health care costs among people with employer-sponsored insurance and bipolar disorder.

BACKGROUND: Cost-sharing disproportionately affects people with chronic illnesses needing more care. Our qualitative study examined lived experiences navigating insurance benefits and treatment for bipolar disorder, which requires ongoing access to behavioral specialists and psychotropic medications. METHODS: Forty semi-structured telephone interviews with individuals with bipolar disorder and employer-sponsored health insurance, or their family caregivers, explored health care needs, coverage details, out-of-pocket (OOP) costs, and perspectives on value. An iterative analytic approach identified salient themes. RESULTS: Most individuals in our sample faced an annual insurance deductible, from $350-$10,000. OOP costs for specialist visits ranged from $0-$450 and for monthly psychotropic medications from $0-$1650. Acute episodes and care for comorbidities, including medication side effects, added to cost burdens. Medication nonadherence due to OOP costs was rare; respondents frequently pointed to the necessity of medications: "whatever it takes to get those"; "it's a life or death situation." Respondents also prioritized visits to psychiatrist prescribers, though visits were maximally spaced because of cost. Psychotherapy was often deemed unaffordable and forgone, despite perceived need. Interviewees cited limited networks and high out-of-network costs as barriers to specialists. Cost-sharing sometimes led to debt, skimping on nonbehavioral care or other necessities, exacerbated or prolonged mood symptoms, and stress at home. LIMITATIONS: Volunteer respondents may not fully represent the target population. CONCLUSIONS: Many people with bipolar disorder in US employer-sponsored plans experience undertreatment, hardship, and adverse health consequences due to high cost-sharing. More nuanced insurance benefit designs should accommodate the needs of individuals with complex conditions.

Integrating Stakeholder Engagement With Claims-Based Research on Health Insurance Design and Bipolar Disorder.

Researchers increasingly recognize that stakeholder involvement enhances research relevance and validity. However, reports of patient engagement in research that relies on administrative records data are rare. The authors' collaborative project combined quantitative and qualitative studies of costs and access to care among U.S. adults with employer-sponsored insurance. The authors analyzed insurance claims to estimate the impacts on enrollee costs and utilization after patients with bipolar disorder were switched from traditional coverage to high-deductible health plans. In parallel, in-depth interviews explored people's experiences accessing treatment for bipolar disorder. Academic investigators on the research team partnered with the Depression and Bipolar Support Alliance (DBSA), a national advocacy organization for people with mood disorders. Detailed personal stories from DBSA-recruited volunteers informed and complemented the claims analyses. Several DBSA audience forums and a stakeholder advisor panel contributed regular feedback on study issues. These multiple engagement modes drew inputs of varying intensity from diverse community segments. Efforts to include new voices must acknowledge individuals' distinct interests and barriers to research participation. Strong engagement leadership roles ensure productive communication between researchers and stakeholders. The involvement of people with direct experience of care is especially necessary in research that uses secondary data. Longitudinal, adaptable partnerships enable colearning and higher-quality research that captures the manifold dimensions of patient experiences.

Effect of high-deductible insurance on health care use in bipolar disorder.

OBJECTIVES: To determine the impact of high-deductible health plans (HDHPs) on health care use among individuals with bipolar disorder. STUDY DESIGN: Interrupted time series with propensity score-matched control group design, using a national health insurer's claims data set with medical, pharmacy, and enrollment data. METHODS: The intervention group was composed of 2862 members with bipolar disorder who were enrolled for 1 year in a low-deductible (≤$500) plan and then 1 year in an HDHP (≥$1000) after an employer-mandated switch. HDHP members were propensity score matched 1:3 to contemporaneous controls in low-deductible plans. The main outcomes included out-of-pocket spending per health care service, mental health-related outpatient visits (subclassified as visits to nonpsychiatrist mental health providers and to psychiatrists), emergency department (ED) visits, and hospitalizations. RESULTS: Mean pre- to post-index date out-of-pocket spending per visit on all mental health office visits, nonpsychiatrist mental health provider visits, and psychiatrist visits increased by 21.9% (95% CI, 15.1%-28.6%), 33.8% (95% CI, 2.0%-65.5%), and 17.8% (95% CI, 12.2%-23.4%), respectively, among HDHP vs control members. The HDHP group experienced a -4.6% (95% CI, -11.7% to 2.5%) pre- to post change in mental health outpatient visits relative to controls, a -10.9% (95% CI, -20.6% to -1.3%) reduction in nonpsychiatrist mental health provider visits, and unchanged psychiatrist visits. ED visits and hospitalizations were also unchanged. CONCLUSIONS: After a mandated switch to HDHPs, members with bipolar disorder experienced an 11% decline in visits to nonpsychiatrist mental health providers but unchanged psychiatrist visits, ED visits, and hospitalizations. HDHPs do not appear to have a "blunt instrument" effect on health care use in bipolar disorder; rather, patients might make trade-offs to preserve important care.

Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis.

BACKGROUND: New health policies may have intended and unintended consequences. Active surveillance of population-level data may provide initial signals of policy effects for further rigorous evaluation soon after policy implementation. OBJECTIVE: This study evaluated the utility of sequential analysis for prospectively assessing signals of health policy impacts. As a policy example, we studied the consequences of the widely publicized Food and Drug Administration's warnings cautioning that antidepressant use could increase suicidal risk in youth. METHOD: This was a retrospective, longitudinal study, modeling prospective surveillance, using the maximized sequential probability ratio test. We used historical data (2000-2010) from 11 health systems in the US Mental Health Research Network. The study cohort included adolescents (ages 10-17 y) and young adults (ages 18-29 y), who were targeted by the warnings, and adults (ages 30-64 y) as a comparison group. Outcome measures were observed and expected events of 2 possible unintended policy outcomes: psychotropic drug poisonings (as a proxy for suicide attempts) and completed suicides. RESULTS: We detected statistically significant (P<0.05) signals of excess risk for suicidal behavior in adolescents and young adults within 5-7 quarters of the warnings. The excess risk in psychotropic drug poisonings was consistent with results from a previous, more rigorous interrupted time series analysis but use of the maximized sequential probability ratio test method allows timely detection. While we also detected signals of increased risk of completed suicide in these younger age groups, on its own it should not be taken as conclusive evidence that the policy caused the signal. A statistical signal indicates the need for further scrutiny using rigorous quasi-experimental studies to investigate the possibility of a cause-and-effect relationship. CONCLUSIONS: This was a proof-of-concept study. Prospective, periodic evaluation of administrative health care data using sequential analysis can provide timely population-based signals of effects of health policies. This method may be useful to use as new policies are introduced.

Effects of Transitioning to Medicare Part D on Access to Drugs for Medical Conditions among Dual Enrollees with Cancer.

OBJECTIVES: To evaluate the impact of transitioning from Medicaid to Medicare Part D drug coverage on the use of noncancer treatments among dual enrollees with cancer. METHODS: We leveraged a representative 5% national sample of all fee-for-service dual enrollees in the United States (2004-2007) to evaluate the impact of the removal of caps on the number of reimbursable prescriptions per month (drug caps) under Part D on 1) prevalence and 2) average days' supply dispensed for antidepressants, antihypertensives, and lipid-lowering agents overall and by race (white and black). RESULTS: The removal of drug caps was associated with increased use of lipid-lowering medications (days' supply 3.63; 95% confidence interval [CI] 1.57-5.70). Among blacks in capped states, we observed increased use of lipid-lowering therapy (any use 0.08 percentage points; 95% CI 0.05-0.10; and days' supply 4.01; 95% CI 2.92-5.09) and antidepressants (days' supply 2.20; 95% CI 0.61-3.78) and increasing trends in antihypertensive use (any use 0.01 percentage points; 95% CI 0.004-0.01; and days' supply 1.83; 95% CI 1.25-2.41). The white-black gap in the use of lipid-lowering medications was immediately reduced (-0.09 percentage points; 95% CI -0.15 to -0.04). We also observed a reversal in trends toward widening white-black differences in antihypertensive use (level -0.08 percentage points; 95% CI -0.12 to -0.05; and trend -0.01 percentage points; 95% CI -0.02 to -0.01) and antidepressant use (-0.004 percentage points; 95% CI -0.01 to -0.0004). CONCLUSIONS: Our findings suggest that the removal of drug caps under Part D had a modest impact on the treatment of hypercholesterolemia overall and may have reduced white-black gaps in the use of lipid-lowering and antidepressant therapies.

Psychotropic Medication Use among Insured Children with Autism Spectrum Disorder.

This study examined psychotropic medication use among 7901 children aged 1-17 with autism spectrum disorder (ASD) in five health systems, comparing to matched cohorts with no ASD. Nearly half (48.5 %) of children with ASD received psychotropics in the year observed; the most common classes were stimulants, alpha-agonists, or atomoxetine (30.2 %), antipsychotics (20.5 %), and antidepressants (17.8 %). Psychotropic treatment was far more prevalent among children with ASD, as compared to children with no ASD (7.7 % overall), even within strata defined by the presence or absence of other psychiatric diagnoses. The widespread use of psychotropics we observed, particularly given weak evidence supporting the effectiveness of these medications for most children with ASD, highlights challenges in ASD treatment and the need for greater investment in its evaluation.

The Effects of the Transition From Medicaid to Medicare on Health Care Use for Adults With Mental Illness.

BACKGROUND: The transition from Medicaid-only to dual Medicare/Medicaid coverage has the potential to reduce financial barriers to health care for patients with serious mental illness through increased coverage or expanded access to clinicians as their reimbursement increases. AIMS: To estimate the effect of dual coverage after Medicaid enrollment during the required waiting period among adults with serious mental illness on health care use, overall and related to mental health and substance use disorders (MHSUD). METHODS: Data include enrollment and claims from Medicaid and Medicare in Missouri and South Carolina, from January 2004 to December 2007. We used an interrupted time-series design to estimate the effect of dual coverage on average use of outpatient, emergency department (ED), and inpatient care/month. RESULTS: After 12 months of dual coverage, the probability of outpatient care use increased in both states from 4% to 9%. In Missouri, the mean probability and frequency of ED visits, total and MHSUD related, increased by 21%-32%; the probability of all-cause and MHSUD-related inpatient admissions increased by 10% and 19%, respectively. In South Carolina, the mean probability of any inpatient admission increased by 27% and of any MHSUD-related inpatient admission by 42%. DISCUSSION: The increase in use of outpatient care is consistent with the expected increase in coverage of, and payment for, outpatient services under dual coverage relative to Medicaid-only. Sustained increases in ED and inpatient admissions raise questions regarding the complexity of obtaining care under 2 programs, pent-up demand among beneficiaries pretransition, and the complementarity of outpatient and inpatient service use.

Missing clinical and behavioral health data in a large electronic health record (EHR) system.

OBJECTIVE: Recent massive investment in electronic health records (EHRs) was predicated on the assumption of improved patient safety, research capacity, and cost savings. However, most US health systems and health records are fragmented and do not share patient information. Our study compared information available in a typical EHR with more complete data from insurance claims, focusing on diagnoses, visits, and hospital care for depression and bipolar disorder. METHODS: We included insurance plan members aged 12 and over, assigned throughout 2009 to a large multispecialty medical practice in Massachusetts, with diagnoses of depression (N = 5140) or bipolar disorder (N = 462). We extracted insurance claims and EHR data from the primary care site and compared diagnoses of interest, outpatient visits, and acute hospital events (overall and behavioral) between the 2 sources. RESULTS: Patients with depression and bipolar disorder, respectively, averaged 8.4 and 14.0 days of outpatient behavioral care per year; 60% and 54% of these, respectively, were missing from the EHR because they occurred offsite. Total outpatient care days were 20.5 for those with depression and 25.0 for those with bipolar disorder, with 45% and 46% missing, respectively, from the EHR. The EHR missed 89% of acute psychiatric services. Study diagnoses were missing from the EHR's structured event data for 27.3% and 27.7% of patients. CONCLUSION: EHRs inadequately capture mental health diagnoses, visits, specialty care, hospitalizations, and medications. Missing clinical information raises concerns about medical errors and research integrity. Given the fragmentation of health care and poor EHR interoperability, information exchange, and usability, priorities for further investment in health IT will need thoughtful reconsideration.

Health Services Utilization Among Children With and Without Autism Spectrum Disorders.

Using data from multiple health systems (2009-2010) and the largest sample to date, this study compares health services use among youth with and without an autism spectrum disorder (ASD)-including preventive services not previously studied. To examine these differences, we estimated logistic and count data models, controlling for demographic characteristics, comorbid physical health, and mental health conditions. Results indicated that youth with an ASD had greater health care use in many categories, but were less likely to receive important preventive services including flu shots and other vaccinations. An improved understanding of the overall patterns of health care use among this population could enable health systems to facilitate the receipt of appropriate and effective health care.

Did Medicare Part D Affect National Trends in Health Outcomes or Hospitalizations? A Time-Series Analysis.

BACKGROUND: Medicare Part D increased economic access to medications, but its effect on population-level health outcomes and use of other medical services remains unclear. OBJECTIVE: To examine changes in health outcomes and medical services in the Medicare population after implementation of Part D. DESIGN: Population-level longitudinal time-series analysis with generalized linear models. SETTING: Community. PATIENTS: Nationally representative sample of Medicare beneficiaries (n = 56,293 [unweighted and unique]) from 2000 to 2010. MEASUREMENTS: Changes in self-reported health status, limitations in activities of daily living (ADLs) (ADLs and instrumental ADLs), emergency department visits and hospital admissions (prevalence, counts, and spending), and mortality. Medicare claims data were used for confirmatory analyses. RESULTS: Five years after Part D implementation, no clinically or statistically significant reductions in the prevalence of fair or poor health status or limitations in ADLs or instrumental ADLs, relative to historical trends, were detected. Compared with trends before Part D, no changes in emergency department visits, hospital admissions or days, inpatient costs, or mortality after Part D were seen. Confirmatory analyses were consistent. LIMITATIONS: Only total population-level outcomes were studied. Self-reported measures may lack sensitivity. CONCLUSION: Five years after implementation, and contrary to previous reports, no evidence was found of Part D's effect on a range of population-level health indicators among Medicare enrollees. Further, there was no clear evidence of gains in medical care efficiencies.

Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records.

To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81% as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95% CI 2.03-4.25; p < 0.001) and being male (OR 1.51; 95% CI 1.05-2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research.

Effects of eliminating drug caps on racial differences in antidepressant use among dual enrollees with diabetes and depression.

PURPOSE: Black patients with diabetes are at greater risk of underuse of antidepressants even when they have equal access to health insurance. This study aimed to evaluate the impact of removing a significant financial barrier to prescription medications (drug caps) on existing black-white disparities in antidepressant treatment rates among patients with diabetes and comorbid depression. METHODS: We used an interrupted time series with comparison series design and a 5% representative sample of all fee-for-service Medicare and Medicaid dual enrollees to evaluate the removal of drug caps on monthly antidepressant treatment rates. We evaluated the impact of drug cap removal on racial gaps in treatment by modeling the month-to-month white-black difference in use within age strata (younger than 65 years of age or 65 years of age or older). We compared adult dual enrollees with diabetes and comorbid depression living in states with strict drug caps (n = 221) and those without drug caps (n = 1133) before the policy change. Our primary outcome measures were the proportion of patients with any antidepressant use per month and the mean standardized monthly doses (SMDs) of antidepressants per month. FINDINGS: The removal of drug caps in strict drug cap states was associated with a sudden increase in the proportion of patients treated for depression (4 percentage points; 95% CI, 0.03-0.05, P < 0.0001) and in the intensity of antidepressant use (SMD: 0.05; 95% CI, 0.03-0.07, P < 0.001). Although antidepressant treatment rates increased for both white and black patients, the white-black treatment gap increased immediately after Part D (0.04 percentage points; 95% CI, 0.01-0.08) and grew over time (0.04 percentage points per month; 95% CI, 0.002-0.01; P < 0.001). IMPLICATIONS: Policies that remove financial barriers to medications may increase depression treatment rates among patients with diabetes overall while exacerbating treatment disparities. Tailored outreach may be needed to address nonfinancial barriers to mental health services use among black patients with diabetes.