Networks In ACA Marketplaces Are Narrower For Mental Health Care Than For Primary Care

Insurance acceptance and cash pay rates for psychotherapy in the US

Cost and insurance coverage remain important barriers to mental health care, including psychotherapy and mental health counseling services ("psychotherapy"). While data are scant, psychotherapy services are often delivered in private practice settings, where providers frequently do not take insurance and instead rely on direct pay. In this cross-sectional analysis, we use a large national online directory of 175 083 psychotherapy providers to describe characteristics of private practice psychotherapy providers who accept and do not accept insurance, and assess self-reported private pay rates. Overall, about one-third of private practice psychotherapists did not accept insurance, with insurance acceptance varying substantially across states. We also found significant session rate differentials, with Medicaid rates being on average 40% lower than reported cash pay rates, which averaged $143.26 a session. Taken together, low insurance acceptance across a broad swath of mental health provider types means that access to care is disproportionately reliant on patients' ability to afford out-of-pocket payments-even when covered by insurance. While our findings are descriptive and may not be representative of all US psychotherapists, they add to scant existing knowledge about the cash pay market for an important mental health service that has experienced increased use and demand over time.

Evaluating the Efficacy of a Digital Therapeutic (CT-152) as an Adjunct to Antidepressant Treatment in Adults With Major Depressive Disorder: Protocol for the MIRAI Remote Study

BACKGROUND

Major depressive disorder (MDD) is common worldwide and can be highly disabling. People with MDD face many barriers to treatment and may not experience full symptom relief even when treated. Therefore, new treatment modalities are needed for MDD. Digital therapeutics (DTx) may provide people with MDD an additional treatment option.

OBJECTIVE

This study aimed to describe a phase 3 remote, multicenter, randomized, masked, sham-controlled trial evaluating the efficacy of a smartphone app-based DTx (CT-152) in adult participants diagnosed with MDD, used as an adjunct to antidepressant therapy (ADT).

METHODS

Participants aged 22-64 years with a current primary diagnosis of MDD and an inadequate response to ADT were included. Participants were randomized 1:1 to CT-152 or a sham DTx. CT-152 is a smartphone app-based DTx that delivers a cognitive-emotional and behavioral therapeutic intervention. The core components of CT-152 are the Emotional Faces Memory Task exercises, brief lessons to learn and apply key therapeutic skills, and SMS text messaging to reinforce lessons and encourage engagement with the app. The sham DTx is a digital working memory exercise with emotionally neutral stimuli designed to match CT-152 for time and attention. Participants took part in the trial for up to 13 weeks. The trial included a screening period of up to 3 weeks, a treatment period of 6 weeks, and an extension period of 4 weeks to assess the durability of the effect. Sites and participants had the option of an in-person or remote screening visit; the remaining trial visits were remote. Efficacy was evaluated using the Montgomery-Åsberg Depression Rating Scale, the Generalized Anxiety Disorder-7, Clinical Global Impression-Severity scale, the Patient Health Questionnaire-9, and the World Health Organization Disability Assessment Schedule 2.0. The durability of the effect was evaluated with the Montgomery-Åsberg Depression Rating Scale and Generalized Anxiety Disorder-7 scale. Adverse events were also assessed. Satisfaction, measured by the Participant and Healthcare Professional Satisfaction Scales, and health status, measured by the EQ-5D-5L, were summarized using descriptive statistics.

RESULTS

This study was initiated in February 2021 and had a primary completion date in October 2022.

CONCLUSIONS

This represents the methodological design for the first evaluation of CT-152 as an adjunct to ADT. This study protocol is methodologically robust and incorporates many aspects of conventional pivotal pharmaceutical phase 3 trial design, such as randomization and safety end points. Novel considerations included the use of a sham comparator, masking considerations for visible app content, and outcome measures relevant to DTx. The rigor of this methodology will provide a more comprehensive understanding of the effectiveness of CT-152.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04770285; https://clinicaltrials.gov/study/NCT04770285.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/56960.

Composition of buprenorphine prescribing networks in Medicaid and association with quality of care

INTRODUCTION

Despite Medicaid's outsized role in delivering and financing medications for opioid use disorder (MOUD), little is known about the extent to which buprenorphine prescriber networks vary across Medicaid health plans, and whether network characteristics affect quality of treatment received. In this observational cross-sectional study, we used 2018-2019 Medicaid claims in Oregon to assess network variation in the numbers and types of buprenorphine prescribers, as well as the association of prescriber and network characteristics with quality of care.

METHODS

We describe prescribers (MD/DOs and advanced practice providers) of OUD-approved buprenorphine formulations to patients with an OUD diagnosis, across networks. For each patient who initiated buprenorphine treatment during 2018, we assigned a "usual prescriber" and assessed four measures of quality in the 180d following initiation: 1) continuous receipt of buprenorphine; 2) receipt of any behavioral health counseling services; 3) receipt of any urine drug screen; and 4) receipt of any prescription for a benzodiazepine. We used multivariable linear regressions to examine the association of prescriber and network characteristics with quality of buprenorphine care following initiation.

RESULTS

We identified 645 providers who prescribed buprenorphine to 20,739 eligible Medicaid enrollees with an OUD diagnosis. The composition of buprenorphine prescriber networks varied in terms of licensing type, specialty, and panel size, with the majority of prescribers providing buprenorphine to small panels of patients. In the 180 days following initiation, a third of patients were maintained on buprenorphine; 69.9 % received behavioral health counseling; 88.4 % had a urine drug screen; and 11.3 % received a benzodiazepine prescription. In regression analyses, while no single network characteristic was associated with higher quality across all examined measures, each one unit increase in prescriber-to-enrollee ratio was associated with a 1.18 p.p. increase in the probability of continuous buprenorphine maintenance during the 180 days following initiation (95 % confidence interval = [0.21, 2.15], p = 0.017).

CONCLUSIONS

Medicaid plans may be able to leverage their networks to provide higher quality care. Our findings, which should be interpreted as descriptive only, suggest that higher prescriber-to-enrollee ratio is associated with increased buprenorphine maintenance. Future research should focus on isolating the causal relationships between MOUD prescribing network design and patient outcomes.

Psychotropic Medication Prescribing Across Medical Providers, 2016-2019

OBJECTIVE

The authors sought to provide updated estimates of the proportion of psychotropic medications prescribed by different medical providers.

METHODS

This pooled cross-sectional study used data from the Medical Expenditure Panel Survey (2016-2019). Nationally representative estimates of the percentages of all psychotropic medications prescribed by each provider type were calculated, and analyses stratified by medication type, insurance type, and age were conducted.

RESULTS

Data from 58,547 psychotropic prescriptions reported by 7,693 unique individuals were analyzed. More than 60% of psychotropic medications were prescribed by providers other than psychiatrists (33.5%) or psychologists (2.2%), such as general practitioners, nurse practitioners, and physician assistants. This distribution varied significantly by medication, insurance, and patient age.

CONCLUSIONS

Most psychotropic medication prescribing occurs in primary care; however, notable differences by medication, insurance, and age were observed, suggesting areas for future research.

Unmet need for mental health care is common across insurance market segments in the United States

A substantial proportion of individuals with depression in the United States do not receive treatment. While access challenges for mental health care have been documented, few recent estimates of unmet mental health needs across insurance market segments exist. Using nationally representative survey data with participant-reported depression symptom severity and mental health care use collected in Spring 2023, we assessed access to mental health care among individuals with similar levels of depression symptom severity with commercial, Medicare, Medicaid, and no insurance. Among individuals who reported symptoms consistent with moderately severe to severe depression, 37.8% did not have a diagnosis for depression (41.0%, 28.1%, 33.6%, and 56.3% with commercial, Medicare, Medicaid, and no insurance), 51.9% did not see a mental health specialist (49.7%, 51.7%, 44.9%, and 91.8%), and 32.4% avoided mental health care due to affordability in the past 12 months (30.2%, 34.0%, 21.1%, and 54.8%). There was substantial unmet need for mental health treatment in all insurance market segments, but especially among individuals without insurance.

Psychiatrist and Nonpsychiatrist Physician Network Breadth in Dual Eligible Special Needs Plans

OBJECTIVE

Dual Eligible Special Needs Plans (D-SNPs) are a type of Medicare Advantage (MA) plan for individuals who have both Medicare and Medicaid coverage. The authors compared the breadths of psychiatrist and nonpsychiatrist provider networks in D-SNPs and other MA plans.

METHODS

MA plan provider network data were merged with plan service areas and a nationwide provider database to form a data set with 843 observations on networks subclassified by state and network type (D-SNP or other MA) covering 42 U.S. states and Washington, D.C. Network breadth measured the in-network fraction of clinically active Medicare-accepting psychiatrists and other physician providers in the plans' service areas in each state. Regression analyses were used to compare psychiatrist and nonpsychiatrist network breadth and psychiatrist-nonpsychiatrist breadth differences between D-SNPs and other MA plans, after adjustment for state-level differences.

RESULTS

Mean psychiatrist network breadth was 0.319 in D-SNPs and 0.299 in other MA plans, and nonpsychiatrist network breadth was 0.346 in D-SNPs and 0.358 in other MA plans. Psychiatrist networks were narrower than nonpsychiatrist networks (0.303 vs. 0.355, p<0.001), but mean psychiatrist network breadth did not differ between D-SNPs and other MA plans. In regression analyses, the psychiatrist-nonpsychiatrist breadth difference was smaller in D-SNPs (-0.031) than in other MA plans (-0.060) (p=0.002).

CONCLUSIONS

Psychiatrist provider networks in a nationwide sample of D-SNPs had similar breadth as psychiatrist networks used in other MA plans. Special provider network adequacy requirements for psychiatrists in D-SNP networks may be worthy of further consideration given D-SNPs' disproportionate enrollment of adults with serious mental illness who have dual Medicare-Medicaid insurance coverage.

Psychiatrist Networks In Medicare Advantage Plans Are Substantially Narrower Than In Medicaid And ACA Markets

Medicare Advantage now covers twenty-eight million older adults, many of whom have mental health needs. Enrollees are often restricted to providers who participate in a health plan's network, which may present a barrier to care. We used a novel data set linking network service areas, plans, and providers to compare psychiatrist network breadth-the percentage of providers in a given area that are considered "in network" for a plan-across Medicare Advantage, Medicaid managed care, and Affordable Care Act plan markets. We found that nearly two-thirds of psychiatrist networks in Medicare Advantage were narrow (that is, they contained fewer than 25 percent of providers in a network's service area) compared with approximately 40 percent in Medicaid managed care and Affordable Care Act plan markets. We did not observe similar differences in network breadth for primary care physicians or other physician specialists across markets. Amid efforts to strengthen network adequacy, our findings suggest that psychiatrist networks in Medicare Advantage are particularly narrow, which may disadvantage enrollees as they attempt to obtain mental health services.

Medicaid Reimbursement For Psychiatric Services: Comparisons Across States And With Medicare

Medicaid is characterized by low rates of provider participation, often attributed to reimbursement rates below those of commercial insurance or Medicare. Understanding the extent to which Medicaid reimbursement for mental health services varies across states may help illuminate one lever for increasing Medicaid participation among psychiatrists. We used publicly available Medicaid fee-for-service schedules from state Medicaid agency websites in 2022 to construct two indices for a common set of mental health services provided by psychiatrists: a Medicaid-to-Medicare index to benchmark each state's Medicaid reimbursement with that of Medicare for the same set of services, and a state-to-national Medicaid index comparing each state's Medicaid reimbursement with an enrollment-weighted national average. On average, Medicaid paid psychiatrists at 81.0 percent of Medicare rates, and a majority of states had a Medicaid-to-Medicare index that was less than 1.0 (median, 0.76). State-to-national Medicaid indices for psychiatrists' mental health services ranged from 0.46 (Pennsylvania) to 2.34 (Nebraska) but did not correlate with the supply of Medicaid-participating psychiatrists. As policy makers look to reimbursement rates as one strategy to address ongoing mental health workforce shortages, comparing Medicaid payment across states may help benchmark ongoing state and federal proposals.

Medicare Advantage Enrollment Among Beneficiaries With End-Stage Renal Disease in the First Year of the 21st Century Cures Act

Importance

Before 2021, most Medicare beneficiaries with end-stage renal disease (ESRD) were unable to enroll in private Medicare Advantage (MA) plans. The 21st Century Cures Act permitted these beneficiaries to enroll in MA plans effective January 2021.

Objective

To examine changes in MA enrollment among Medicare beneficiaries with ESRD after enactment of the 21st Century Cures Act overall and by race or ethnicity and dual-eligible status.

Design, Setting, and Participants

This cross-sectional time-trend study used data from Medicare beneficiaries with ESRD (both kidney transplant recipients and those undergoing dialysis) between January 2019 and December 2021. Data were analyzed between June and October 2022.

Exposures

21st Century Cures Act.

Main Outcomes and Measures

Primary outcomes were the proportion of Medicare beneficiaries with prevalent ESRD who switched from traditional Medicare to MA between 2020 and 2021 and those with incident ESRD who newly enrolled in MA in 2021. Individuals who stayed in traditional Medicare were enrolled in 2020 and 2021 and those who switched to MA were enrolled in traditional Medicare in 2020 and MA in 2021.

Results

Among 575 797 beneficiaries with ESRD in 2020 or 2021 (mean [SD] age, 64.7 [14.2] years, 42.2% female, 34.0% Black, and 7.7% Hispanic or Latino), the proportion of beneficiaries enrolled in MA increased from 24.8% (December 2020) to 37.4% (December 2021), a relative change of 50.8%. The largest relative increases in MA enrollment were among Black (72.8% relative increase), Hispanic (44.8%), and dual-eligible beneficiaries with ESRD (73.6%). Among 359 617 beneficiaries with TM and prevalent ESRD in 2020, 17.6% switched to MA in 2021. Compared with individuals who stayed in traditional Medicare, those who switched to MA had modestly more chronic conditions (6.3 vs 6.1; difference, 0.12 conditions [95% CI, 0.10-0.16]) and similar nondrug spending in 2020 (difference, $509 [95% CI, -$58 to $1075]) but were more likely to be Black (difference, 19.5 percentage points [95% CI, 19.1-19.9]) and have dual Medicare-Medicaid eligibility (difference, 20.8 percentage points [95% CI, 20.4-21.2]). Among beneficiaries who were newly eligible for Medicare ESRD benefits in 2021, 35.2% enrolled in MA.

Conclusions and Relevance

Results suggest that increases in MA enrollment among Medicare beneficiaries with ESRD were substantial the first year after the 21st Century Cures Act, particularly among Black, Hispanic, and dual-eligible individuals. Policy makers and MA plans may need to assess network adequacy, disenrollment, and equity of care for beneficiaries who enrolled in MA.

A National Survey of United States-based Endocrinologists who Prescribe Gender-Affirming Hormone Therapy

OBJECTIVE

The World Professional Association for Transgender Health (WPATH) Standards of Care (SOC) Version 7 recommended that before initiating gender-affirming hormone therapy (GAHT), patients should seek a psychosocial evaluation from a mental health professional documenting a diagnosis of persistent gender dysphoria. The Endocrine Society published guidelines in 2017 recommending against an obligatory psychosocial evaluation, which was affirmed in the recently published WPATH SOC Version 8 from 2022. Little is known about how endocrinologists ensure appropriate psychosocial assessment for their patients. This study assessed the protocols and characteristics of United States-based adult endocrinology clinics that prescribe GAHT.

METHODS

An anonymous electronic survey sent to members of a professional organization and the "Endocrinologists" Facebook group was responded to by 91 practicing board-certified adult endocrinologists who prescribe GAHT.

RESULTS

Thirty-one states were represented by the respondents. Overall, 83.1% of GAHT-prescribing endocrinologists reported accepting Medicaid. They reported working in university practices (28.4%), community practices (22.7%), private practices (27.3%), and other practice settings (21.6%). Overall, 42.9% of the respondents reported that their practice required documentation of a psychosocial evaluation from a mental health professional before initiating GAHT.

CONCLUSION

Endocrinologists who prescribe GAHT are divided about requiring a baseline psychosocial evaluation before prescribing GAHT. Further work is needed to understand the impact of psychosocial assessment on patient care and facilitate the uptake of new guidelines into clinical practice.

Adult Primary Care Physician Visits Increasingly Address Mental Health Concerns

A high prevalence of mental health diagnoses in adults alongside ongoing shortages of mental health specialists and expansion of the patient-centered medical home have increased the involvement of primary care clinicians in treating mental health concerns. Using nationally representative serial cross-sectional data from the 2006-18 National Ambulatory Medical Care Surveys regarding visits to outpatient primary care physicians by patients ages eighteen and older, we sought to characterize temporal trends in primary care visits addressing a mental health concern. Based on a sample of 109,898 visits representing 3,891,233,060 weighted visits, we found that the proportion of visits that addressed mental health concerns increased from 10.7 percent of visits in 2006-07 to 15.9 percent by 2016 and 2018. Black patients were 40 percent less likely than White patients to have a mental health concern addressed during a primary care visit, and Hispanic patients were 40 percent less likely than non-Hispanic patients to have a mental health concern addressed during a primary care visit. These findings emphasize the need for payment and billing approaches (that is, value-based care models and billing codes for integrated behavioral health) as well as organizational designs and supports (that is, colocated therapy or psychiatry providers, availability of e-consultation, and longer visits) that enable primary care physicians to adequately address mental health needs.

Characteristics of Specialty Mental Health Provider Networks in Oregon Medicaid

OBJECTIVE

Provider networks for mental health are narrower than for other medical specialties. Providers' influence on access to care is potentially greater in Medicaid because enrollees are generally limited to contracted providers, without out-of-network options for nonemergency mental health care. The authors used claims-based metrics to examine variation in specialty mental health provider networks.

METHODS

In a cross-sectional analysis of 2018 Oregon Medicaid claims data, claims from adults ages 18-64 years (N=100,515) with a psychiatric diagnosis were identified. In-network providers were identified as those associated with any medical claims filed for at least five unique Medicaid beneficiaries enrolled in a health plan (coordinated care organization [CCO]) during the study period. Specialty mental health providers were categorized as prescribers (psychiatrists and mental health nurse practitioners) and nonprescribers (therapists, counselors, clinical nurse specialists, psychologists, and social workers). Measures of network composition, provider-to-population ratio, continuity, and concentration of care were calculated at the CCO level; the correlation between these measures was estimated to describe the degree to which they capture unique dimensions of provider networks.

RESULTS

Across 15 CCOs, the number of prescribing providers per 1,000 patients was relatively stable. CCOs that expanded their networks did so by increasing the number of nonprescribing providers. Moderately negative correlations were found between the nonprescriber provider-to-population ratio and proportions of visits with prescribers as well as with usual provider continuity.

CONCLUSIONS

This analysis advances future research and policy applications by offering a more nuanced view of provider network measurement and describing empirical variation across networks.

The Association Between Postpartum Insurance Instability and Access to Postpartum Mental Health Services: Evidence From Colorado

INTRODUCTION

The objective of this study was to assess the association between postpartum insurance instability and access to postpartum mental health services.

METHODS

We used 2018-2019 Colorado Health eMoms survey data, which sampled mothers from the 2018 birth certificate files at 3-6 months and 12-14 months postpartum. Respondents were classified as stably insured or unstably insured based on postpartum insurance status at each time point. We examined postpartum insurance patterns and used logistic regression to assess the association between postpartum insurance instability and mental health care access.

RESULTS

Insurance changes primarily occurred by 3-6 months postpartum. Of respondents with public coverage at childbirth, 33.2% experienced postpartum insurance changes compared with 9.5% with private coverage (p < .001). Respondents who were younger, had incomes of less than $50,000, and were of Hispanic ethnicity were more likely to experience unstable postpartum insurance. Respondents who experienced postpartum insurance instability had a lower odds of reporting that they discussed mental health at a postpartum check-up (adjusted odds ratio, 0.4; 95% confidence interval, 0.2-0.7; p < .01) and received postpartum mental health services (adjusted odds ratio, 0.4; 95% confidence interval, 0.2-0.9; p < .05).

CONCLUSIONS

The majority of postpartum insurance disruptions occurred among respondents with public coverage at childbirth and by 3-6 months postpartum. Respondents who experienced unstable coverage were more likely to have less access to postpartum mental health care. Policies that increase postpartum insurance stability, such as postpartum Medicaid extensions beyond 60 days, are needed to improve access to postpartum mental health services.

Quantifying Balance Billing for Out-of-Network Behavioral Health Care in Employer-Sponsored Insurance

OBJECTIVE

The study estimated balance billing for out-of-network behavioral health claims and described subscriber characteristics associated with higher billing.

METHODS

Claims data (2011-2014) from a national managed behavioral health organization's employer-sponsored insurance (N=196,034 family-years with out-of-network behavioral health claims) were used to calculate inflation-adjusted annual balance billing-the submitted amount (charged by provider) minus the allowed amount (insurer agreed to pay plus patient cost-sharing) and any discounts offered by the provider. Among family-years with complete sociodemographic data (N=68,659), regressions modeled balance billing as a function of plan and provider supply, subscriber and family-year, and employer characteristics. A two-part model accounted for family-years without balance billing.

RESULTS

Among the 50% of family-years with balance billing, mean±SD balance billing was $861±$3,500 (median, $175; 90th percentile, $1,684). Adjusted analysis found balance billing was higher ($523 higher, 95% confidence interval [CI]=$340, $705) for carve-out versus carve-in plans and for health maintenance organization (HMO) enrollees versus non-HMO enrollees ($156, 95% CI=$75, $237); for subscribers with a bachelor's degree, compared with an associate's degree or with a high school diploma or lower (between $172 [95% CI=$228, $116] and $224 [95% CI=$284, $163] higher, respectively); and for subscribers ages 45-54, compared with those ages 35-44 and 18-24 (between $57 [95% CI=$103, $10] and $290 [95% CI=$398, $183] higher, respectively). Balance billing was lower in states with more in-network providers per capita (-$8, 95% CI=-$10, -$5).

CONCLUSIONS

Balance billing for out-of-network behavioral health claims may be burdensome. Expanded behavioral health networks may improve access.

HIV and Mental Health Services in the US South: A Meso Analysis

The US South is disproportionately impacted by HIV. Social, cultural, economic, and political characteristics of the South shape access to mental health services leaving adverse impacts on health and wellness outcomes among People Living with HIV. The aim of this paper was to: (a) identify meso factors (at individual, organizational and community-level manifestations) which impact mental health services among People living with HIV in the South of those factors and (b) pose community-articulated recommendation and strategies. Through qualitative interviews with People Living with HIV and service providers, this study found that the meso factors of restricted funding and compounding stigma shaped mental health services in the South. Given the disproportionate rate of HIV, lack of mental health care, and landscape of socio-political factors unique to the region, attention to intervenable meso factors and community-based strategies are needed to enhance mental health services and respond to the HIV epidemic in the US South.

Comparison of Performance of Psychiatrists vs Other Outpatient Physicians in the 2020 US Medicare Merit-Based Incentive Payment System

Importance

Medicare's Merit-Based Incentive Payment System (MIPS) is a new, mandatory, outpatient value-based payment program that ties reimbursement to performance on cost and quality measures for many US clinicians. However, it is currently unknown how the program measures the performance of psychiatrists, who often treat a different patient case mix with different clinical considerations than do other outpatient clinicians.

Objective

To compare performance scores and value-based reimbursement for psychiatrists vs other outpatient physicians in the 2020 MIPS.

Design Setting and Participants

In this cross-sectional study, the Centers for Medicare & Medicaid Services Provider Data Catalog was used to identify outpatient Medicare physicians listed in the National Downloadable File between January 1, 2018, and December 31, 2020, who participated in the 2020 MIPS and received a publicly reported final performance score. Data from the 593 863 clinicians participating in the 2020 MIPS were used to compare differences in the 2020 MIPS performance scores and value-based reimbursement (based on performance in 2018) for psychiatrists vs other physicians, adjusting for physician, patient, and practice area characteristics.

Exposures

Participation in MIPS.

Main Outcomes and Measures

Primary outcomes were final MIPS performance score and negative (penalty), positive, and exceptional performance bonus payment adjustments. Secondary outcomes were scores in the MIPS performance domains: quality, promoting interoperability, improvement activities, and cost.

Results

This study included 9356 psychiatrists (3407 [36.4%] female and 5 949 [63.6%] male) and 196 306 other outpatient physicians (69 221 [35.3%] female and 127 085 [64.7%] male) (data on age and race are not available). Compared with other physicians, psychiatrists were less likely to be affiliated with a safety-net hospital (2119 [22.6%] vs 64 997 [33.1%]) or a major teaching hospital (2148 [23.0%] vs 53 321 [27.2%]) and had lower annual Medicare patient volume (181 vs 437 patients) and mean patient risk scores (1.65 vs 1.78) (P < .001 for all). The mean final MIPS performance score for psychiatrists was 84.0 vs 89.7 for other physicians (absolute difference, -5.7; 95% CI, -6.2 to -5.2). A total of 573 psychiatrists (6.1%) received a penalty vs 5739 (2.9%) of other physicians (absolute difference, 3.2%; 95% CI, 2.8%-3.6%); 8664 psychiatrists (92.6%) vs 189 037 other physicians (96.3%) received a positive payment adjustment (absolute difference, -3.7%; 95% CI, -3.3% to -4.1%), and 7672 psychiatrists (82.0%) vs 174 040 other physicians (88.7%) received a bonus payment adjustment (absolute difference, -6.7%; 95% CI, -6.0% to -7.3%). These differences remained significant after adjustment.

Conclusions and Relevance

In this cross-sectional study that compared US psychiatrists with other outpatient physicians, psychiatrists had significantly lower 2020 MIPS performance scores, were penalized more frequently, and received fewer bonuses. Policy makers should evaluate whether current MIPS performance measures appropriately assess the performance of psychiatrists.

Association of Race/Ethnicity and Social Determinants with Rehospitalization for Mental Health Conditions at Acute Care Children's Hospitals

OBJECTIVE

To evaluate associations of race/ethnicity and social determinants with 90-day rehospitalization for mental health conditions to acute care nonpsychiatric children's hospitals.

STUDY DESIGN

We conducted a retrospective cohort analysis of mental health hospitalizations for children aged 5-18 years from 2016 to 2018 at 32 freestanding US children's hospitals using the Children's Hospital Association's Pediatric Health Information System database to assess the association of race/ethnicity and social determinants (insurance payer, neighborhood median household income, and rurality of patient home location) with 90-day rehospitalization. Risk factors for rehospitalization were modeled using mixed-effects multivariable logistic regression.

RESULTS

Among 23 556 index hospitalizations, there were 1382 mental health rehospitalizations (5.9%) within 90 days. Non-Hispanic Black children were 26% more likely to be rehospitalized than non-Hispanic White children (aOR 1.26, 95% CI 1.08-1.48). Those with government insurance were 18% more likely to be rehospitalized than those with private insurance (aOR 1.18, 95% CI 1.04-1.34). In contrast, those living in a suburban location were 22% less likely to be rehospitalized than those living in an urban location (suburban: aOR 0.78, 95% CI 0.63-0.97).

CONCLUSIONS

Non-Hispanic Black children and those with public insurance were at greatest risk for 90-day rehospitalization, and risk was lower in those residing in suburban locations. Future work should focus on upstream interventions that will best attenuate social disparities to promote equity in pediatric mental healthcare.

Assessment of Perceptions of Mental Health vs Medical Health Plan Networks Among US Adults With Private Insurance

IMPORTANCE

Ten years after the Mental Health Parity and Addiction Equity Act, patients continue to report insurance-related barriers to specialty mental health care.

OBJECTIVES

To assess privately insured patients' perceptions of the adequacy of their health plan's provider network (provider network includes physicians, clinicians, other health care professionals, and their institutions that constitute the network), whether practitioners frequently leave plans, and whether practitioner plan participation affected patients' plan choice.

DESIGN, SETTING, AND PARTICIPANTS

A nationally representative, population-based internet survey study of English-speaking US adults participating in KnowledgePanel, an online research panel, was conducted from August to September 2018. Data analysis was performed from November 12, 2020, to May 12, 2021. From a sample of 29 854 panelists aged 18 to 64 years, 19 602 initiated the screener (completion rate of 66%), and 728 met study criteria: adults with private insurance receiving both specialty mental health and medical care in the past year.

EXPOSURE

Health plan's provider network.

MAIN OUTCOMES AND MEASURES

Self-report of plan inadequacy, whether a practitioner left the plan and the participant's responses (stopped treatment, switched practitioner, or continued treatment), and whether participation of a specific practitioner was considered when a health plan was chosen. Experiences with both mental health and medical provider networks were assessed. Analyses were weighted to match the sample to the US population. Weights provided by KnowledgePanel were also adjusted for panel recruitment, attrition, oversampling, and survey nonresponse.

RESULTS

Of a total of 728 study participants, 204 (39%) were aged 18 to 34 years, 504 (61%) were women, 82 (17%) were Hispanic, and 551 (66%) were non-Hispanic White individuals. Serious psychological distress was reported by 262 participants (36%), and 214 participants (29%) also received mental health treatment from a primary care practitioner. Participants rated their mental health provider network as inadequate more frequently than their medical provider network (163 [21%] vs 70 [10%]; odds ratio [OR], 2.69; 95% CI, 1.64-4.40; P < .001). However, among the 193 participants also receiving mental health treatment from a primary care practitioner, there was no significant difference in the ratings of mental health and medical provider networks (44 [14%] vs 18 [9%]; OR, 1.55; 95% CI, 0.65-3.67; P = .32). Sixty participants (8%) reported that a mental health practitioner had left their plan's insurance network in the past 3 years. Of the 523 participants with a choice of plan, 98 (20%) considered whether a specific mental health practitioner was in network before choosing a plan.

CONCLUSIONS AND RELEVANCE

This study's findings suggest that more participants perceived their mental health networks to be inadequate compared with their medical networks. Increasing the availability of mental health treatment in primary care practices may aid plans in constructing adequate mental health provider networks and improve patient access to mental health care.

A comparison of methods for measuring spatial access to health care

OBJECTIVE

To compare measures of spatial access to care commonly used by policy makers and researchers with the more comprehensive enhanced two-step floating catchment area (E2SFCA) method.

STUDY SETTING

Fourteen southwestern Pennsylvania counties.

STUDY DESIGN

We estimated spatial access to buprenorphine-waivered prescribers using three commonly used measures-Euclidean travel distance to the closest prescriber, travel time to the closest provider, and provider-to-population ratios-and the E2SFCA. Unlike other measures, the E2SFCA captures provider capacity, potential patient volume, and travel time to prescribers.

DATA COLLECTION/EXTRACTION METHODS

We measured provider capacity as the number of buprenorphine prescribers listed at a given address in the Drug Enforcement Agency's 2020 Controlled Substances Act Registrants Database, and we measured potential patient volume as the number of nonelderly adults in a given census tract as reported by the 2018 American Community Survey. We estimated travel times between potential patients and prescribers with Bing Maps and Mapbox application programming interfaces. We then calculated each spatial access measure using the R programming language. We used each measure of spatial access to identify census tracts in the lowest quintile of spatial access to prescribers.

PRINCIPAL FINDINGS

The Euclidean distance, travel time, and provider-to-population ratio measures identified 48.3%, 47.2%, and 69.9% of the census tracts that the E2SFCA measure identified as being in the lowest quintile of spatial access to care, meaning that these measures misclassify 30%-52% of study area census tracts as having sufficient spatial access to buprenorphine prescribers.

CONCLUSIONS

Measures of spatial access commonly used by policy makers do not sufficiently accurately identify geographic areas with relatively low access to prescribers of buprenorphine. Using the E2SFCA in addition to the commonly used measures would allow policy makers to precisely target interventions to increase spatial access to opioid use disorder treatment and other types of health care services.

Incorrect Provider Directories Associated With Out-Of-Network Mental Health Care And Outpatient Surprise Bills

Mental health services are up to six times more likely than general medical services to be delivered by an out-of-network provider, in part because many psychiatrists do not accept commercial insurance. Provider directories help patients identify in-network providers, although directory information is often not accurate. We conducted a national survey of privately insured patients who received specialty mental health treatment. We found that 44 percent had used a mental health provider directory and that 53 percent of these patients had encountered directory inaccuracies. Those who encountered inaccuracies were more likely (40 percent versus 20 percent) to be treated by an out-of-network provider and four times more likely (16 percent versus 4 percent) to receive a surprise outpatient out-of-network bill (that is, they did not initially know that a provider was out of network). A federal standard for directory accuracy, stronger enforcement of existing laws with insurers liable for directory errors, and additional monitoring by regulators may be needed.

Private health insurance coverage of drug use disorder treatment: 2005-2018

Many privately insured adults with drug use disorders in the United States do not have health care coverage for drug use treatment. The Affordable Care Act sought to redress this gap by including substance use treatments as essential health benefits under new plans offered. This study used data from 11,732 privately insured adult participants of the 2005-2018 National Survey on Drug Use and Health with drug use disorders to examine trends in drug use treatment coverage and the association of coverage with receiving treatment. 37.6% of the participants with drug use disorders did not know whether their plan covered drug use treatment, with little change over time. Among those who knew, coverage increased modestly between the 2005-2013 and 2014-2018 periods (73.5% vs. 77.5%, respectively, p = .015). Coverage was associated with receiving drug use treatment (adjusted odds ratio = 2.09, 95% confidence interval = 1.61-2.72, p < .001). However, even among participants with coverage, only 13.4% received treatment. Broader coverage of drug use treatment could potentially improve treatment rates.

Healthcare utilization of individuals with substance use disorders following Affordable Care Act implementation in a California healthcare system

BACKGROUND

Practitioners expected the Affordable Care Act (ACA) to increase availability of health services and access to treatment for Americans with substance use disorders (SUDs). Yet research has not examined the associations among ACA enrollment mechanisms, deductibles, and the use of SUD treatment and other healthcare services. Understanding these relationships can inform future healthcare policy.

METHODS

We conducted a longitudinal analysis of patients with SUDs newly enrolled in the Kaiser Permanente Northern California health system in 2014 (N = 6957). Analyses examined the likelihood of service utilization (primary care, specialty SUD treatment, psychiatry, inpatient, and emergency department [ED]) over three years after SUD diagnosis, and associations with enrollment mechanisms (ACA Exchange vs. other), deductibles (none, $1-$999 [low] and ≥$1000 [high]), membership duration, psychiatric comorbidity, and demographic characteristics. We also evaluated whether the enrollment mechanism moderated the associations between deductible limits and utilization likelihood.

RESULTS

Service utilization was highest in the 6 months after SUD diagnosis, decreased in the following 6 months, and remained stable in years 2-3. Relative to patients with no deductible, those with a high deductible had lower odds of using all health services except SUD treatment; associations with primary care and psychiatry were strongly negative among Exchange enrollees. Among non-Exchange enrollees, patients with deductibles were more likely than those without deductibles to receive SUD treatment. Exchange enrollment compared to other mechanisms was associated with less ED use. Psychiatric comorbidity was associated with greater use of all services. Nonwhite patients were less likely to initiate SUD and psychiatry treatment.

CONCLUSIONS

Higher deductibles generally were associated with use of fewer health services, especially in combination with enrollment through the Exchange. The role of insurance factors, psychiatric comorbidity and race/ethnicity in health services for people with SUDs are important to consider as health policy evolves.

Health Care Utilization and Spending for Children With Mental Health Conditions in Medicaid

OBJECTIVE

To examine how characteristics vary between children with any mental health (MH) diagnosis who have typical spending and the highest spending; to identify independent predictors of highest spending; and to examine drivers of spending groups.

METHODS

This retrospective analysis utilized 2016 Medicaid claims from 11 states and included 775,945 children ages 3 to 17 years with any MH diagnosis and at least 11 months of continuous coverage. We compared demographic characteristics and Medicaid expenditures based on total health care spending: the top 1% (highest-spending) and remaining 99% (typical-spending). We used chi-squared tests to compare the 2 groups and adjusted logistic regression to identify independent predictors of being in the top 1% highest-spending group.

RESULTS

Children with MH conditions accounted for 55% of Medicaid spending among 3- to 17-year olds. Patients in the highest-spending group were more likely to be older, have multiple MH conditions, and have complex chronic physical health conditions (P <.001). The highest-spending group had $164,003 per-member-per-year (PMPY) in total health care spending, compared to $6097 PMPY in the typical-spending group. Ambulatory MH services contributed the largest proportion (40%) of expenditures ($2455 PMPY) in the typical-spending group; general health hospitalizations contributed the largest proportion (36%) of expenditures ($58,363 PMPY) in the highest-spending group.

CONCLUSIONS

Among children with MH conditions, mental and physical health comorbidities were common and spending for general health care outpaced spending for MH care. Future research and quality initiatives should focus on integrating MH and physical health care services and investigate whether current spending on MH services supports high-quality MH care.

Do Narrow Networks Affect the Delivery of Outpatient Care in Neurosurgery?: A Statewide Analysis of Marketplace Plans in New Jersey

BACKGROUND

The aftermath of the Affordable Care Act (ACA) witnessed the rise of narrow networks, which feature fewer providers in exchange for lower premiums. Debate still continues on whether narrow networks provide adequate access to health care, especially in specialty care services such as neurosurgery. The objective of this article was to analyze the 2019 Marketplace plans' impact on delivering outpatient neurosurgical care in New Jersey.

METHODS

The 2019 Marketplace Public Use Files were queried for "silver" plans, identifying a total of 11 plans across 3 insurance companies. Online search engines were used to identify the number of in-network neurosurgeons within 20-25 miles of ZIP codes at the center of each county. The primary outcome was the number of neurosurgeon-deficient plans, defined as those having no in-network neurosurgeons within the assigned mile radius.

RESULTS

Of all individuals who purchased an insurance plan, 73% (185,797/255,246) opted for a silver plan. Out of 111 active neurosurgeons in New Jersey, 25% (28/111) did not participate in any of the silver plans. Analysis showed 8 plans as neurosurgeon-deficient in Sussex and Warren. Meanwhile, most of the silver plans provided access to >5 neurosurgeons within 20-25 miles of most (17/21) county centers.

CONCLUSIONS

In more densely populated states such as New Jersey, the impact of narrow networks on neurosurgical coverage is less apparent. However, frustrations regarding access to care still exist because nearly 25% of neurosurgeons do not participate in the standard ACA insurance product. Furthermore, guidelines that define network adequacy in neurosurgery remain elusive, which calls for more robust parameters to monitor and ensure adequate access to health care.

Comparison of Office-Based Physician Participation in Medicaid Managed Care and Health Insurance Exchange Plans in the Same US Geographic Markets

IMPORTANCE

Several recent policy proposals have sought to expand the role of Medicaid in providing health insurance for low-income Americans, but there is little recent information on how physician participation in Medicaid compares with alternative forms of coverage for low-income Americans.

OBJECTIVE

To compare the number of office-based physicians included in Medicaid managed care and health insurance exchange plans that operate in the same geographic markets.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used administrative data from physician network directories and survey data from office-based physicians for Kansas, Nebraska, New York, Tennessee, and Washington. The number of participants totaled 67 057 office-based physicians in the 5 sample states. Data were collected and analyzed from May 2018 to June 2019.

EXPOSURES

Physician participation in a Medicaid managed care or health insurance exchange plan network.

MAIN OUTCOMES AND MEASURES

The percentage of office-based physicians in a county who indicated during a phone survey that they participated in Medicaid; the percentage of office-based physicians in a county who participated in each Medicaid managed care and health insurance exchange plan network; and the percentage of office-based physicians in a county who participated in at least 1 Medicaid managed care plan or, separately, at least 1 health insurance exchange plan.

RESULTS

Of the 67 057 office-based physicians in our sample, 49 983 reported in a telephone survey that they accepted Medicaid. This survey-based measure undercounted the percentage of physicians participating in Medicaid by 5.2% (95% CI, 2.3%-8.1%; P < .001) relative to a measure based on physician network directories. Medicaid managed care physician networks covered a median (interquartile range) of 63.4% (48.0%-81.3%) of office-based physicians compared with health insurance exchange physician networks, which covered 51.0% (31.0%-70.5%). In adjusted analyses, Medicaid managed care plans covered 6.2% (95% CI, 3.2%-9.3%, P < .001) more office-based physicians than health insurance exchange plans operating in the same counties. In the states where the same insurers participated in both markets (New York, Tennessee, Washington), the Medicaid managed care physician networks were 6.5% (95% CI, 3.2%-9.8%, P < .001) larger than the health insurance exchange networks offered by the same insurer.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study of physician network data, Medicaid managed care physician networks included more office-based physicians than the physician networks of health insurance exchange plans operating in the same geographic markets. This suggests that Medicaid remains a viable option for expanding coverage in the United States.

Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions

This study examined income-based disparities in financial burdens from out-of-pocket (OOP) medical spending among individuals with multiple chronic physical and behavioral conditions, before and after the Affordable Care Act’s (ACA) implementation in 2014. Using the 2012-2015 Medical Expenditure Panel Survey data, we studied changes in financial burdens experienced by nonelderly U.S. populations. Financial burdens were measured by (1) high financial burden, defined as total OOP medical spending exceeding 10% of annual household income; (2) health care cost-sharing ratio, defined as self-paid payments as a percent of total health care payments, excluding individual contributions to premiums; and (3) the total OOP costs spent on health care utilization. The findings indicated reductions in the proportion of those who experienced a high financial burden, as well as reductions in the OOP costs for some individuals. However, individuals with incomes below 138% federal poverty level (FPL) and those with incomes between 251% and 400% FPL who had multiple physical and/or behavioral chronic conditions experienced large increases in high financial burden after the ACA, relative to those with incomes greater than 400% FPL. While the ACA was associated with relieved medical financial burdens for some individuals, the worsening high financial burden for moderate-income individuals with chronic physical and behavioral conditions is a concern. Policymakers should revisit the cost subsidies for these individuals, with a particular focus on those with chronic conditions.

Access to Primary, Mental Health, and Specialty Care: a Comparison of Medicaid and Commercially Insured Populations in Oregon

OBJECTIVE

To describe how access to primary and specialty care differs for Medicaid patients relative to commercially insured patients, and how these differences vary across rural and urban counties, using comprehensive claims data from Oregon.

DESIGN

Cross-sectional study of risk-adjusted access rates for two types of primary care providers (physicians; nurse practitioners (NPs) and physician assistants (PAs)); four types of mental health providers (psychiatrists, psychologists, advanced practice NPs or PAs specializing in mental health care, behavioral specialists); and four physician specialties (obstetrics and gynecology, general surgery, gastroenterology, dermatology).

PARTICIPANTS

420,947 Medicaid and 638,980 commercially insured adults in Oregon, October 2014-September 2015.

OUTCOME

Presence of any visit with each provider type, risk-adjusted for sex, age, and health conditions.

RESULTS

Relative to commercially insured individuals, Medicaid enrollees had lower rates of access to primary care physicians (- 11.82%; CI - 12.01 to - 11.63%) and to some specialists (e.g., obstetrics and gynecology, dermatology), but had equivalent or higher rates of access to NPs and PAs providing primary care (4.33%; CI 4.15 to 4.52%) and a variety of mental health providers (including psychiatrists, NPs and PAs, and other behavioral specialists). Across all providers, the largest gaps in Medicaid-commercial access rates were observed in rural counties. The Medicaid-commercial patient mix was evenly distributed across primary care physicians, suggesting that access for Medicaid patients was not limited to a small subset of primary care providers.

CONCLUSIONS

This cross-sectional study found lower rates of access to primary care physicians for Medicaid enrollees, but Medicaid-commercial differences in access rates were not present across all provider types and displayed substantial variability across counties. Policies that address rural-urban differences as well as Medicaid-commercial differences-such as expansions of telemedicine or changes in the workforce mix-may have the largest impact on improving access to care across a wide range of populations.

Factors Associated with Psychiatrist Opt-out from US Medicare: an Observational Study

BACKGROUND

Concerns exist about availability and access to psychiatric services in the USA. For Medicare beneficiaries, one impediment to psychiatric services is the extent to which psychiatrists have opted out of the Medicare program.

OBJECTIVE

This study describes geographic variation in rates that psychiatrists opt out of Medicare, and assesses physician-level and geographic-level predictors of opt-out.

DESIGN

Retrospective cross-sectional analysis of data describing psychiatrists' opt-out status as of March 2017 linked to data on psychiatrist location, psychiatrist characteristics (obtained from a comprehensive US physician database), and market area-level characteristics.

PARTICIPANTS

27,838 psychiatrists in the USA MAIN MEASURES: Whether a psychiatrist had opted out of Medicare as of March 2017.

KEY RESULTS

Overall, 7.0% of psychiatrists (1940/27,838) opted out of Medicare as of March 2017. Opt-out rates varied substantially across states and within states. Physician-level factors independently associated with opt-out included: older age (psychiatrists > 65 years were 2.6 percentage points more likely to opt vs. psychiatrists < 35 years old, p = 0.03), greater years of experience, female gender (female psychiatrists were 2.6 percentage points more likely to opt out than male psychiatrists, p < 0.001), graduation from a top-20 ranked medical school (1.7 percentage points more likely to opt out of Medicare, p < 0.001), and domestic medical graduate (domestic graduates were 7.3 percentage points more likely to opt out of Medicare vs. foreign graduates, p < 0.001). Adjusting for other individual- and geographic-level factors, psychiatrists who practiced in areas with more psychiatrists per Medicare beneficiary were less likely to opt out (p < 0.001).

CONCLUSIONS

The overall likelihood that psychiatrists opt out of Medicare is significant and varies considerably across regions and by characteristics of psychiatrists.

Quality Regulation? Access to High-Quality Specialists for Medicare Advantage Beneficiaries in California

Medicare Advantage enrollment has seen tremendous growth over the past decade. However, we know comparatively little about the experience of beneficiaries in the program. Our knowledge of Medicare Advantage provider networks is particularly limited. This article is one of the first major assessments of the issue. It seeks to answer 3 important questions. First, are Medicare Advantage plan networks made up of higher quality providers? Second, how significant are the network restrictions imposed by Medicare Advantage plans with regard to access to higher quality providers? And finally, how much provider choice are Medicare Advantage beneficiaries left with? To assess these questions, I utilize geospatial data and individual provider quality measures for cardiologists, endocrinologists, and obstetricians and gynecologists from California. I find that Medicare Advantage beneficiaries generally do well in large metropolitan areas compared to traditional Medicare. However, there are concerns for those in micropolitan and rural areas, and even those in standard metropolitan areas, at times. Crucially, the connection between provider quality and networks can only be fully understood when connected to assessments of provider access. These findings also raise questions about how we think about provider networks and the adequacy of current approaches to network regulation.

Shopping on the Public and Private Health Insurance Marketplaces: Consumer Decision Aids and Plan Presentation

BACKGROUND

The design of the Affordable Care Act's (ACA) health insurance marketplaces influences complex health plan choices.

OBJECTIVE

To compare the choice environments of the public health insurance exchanges in the fourth (OEP4) versus third (OEP3) open enrollment period and to examine online marketplace run by private companies, including a total cost estimate comparison.

DESIGN

In November-December 2016, we examined the public and private online health insurance exchanges. We navigated each site for "real-shopping" (personal information required) and "window-shopping" (no required personal information).

PARTICIPANTS

Public (n = 13; 12 state-based marketplaces and HealthCare.gov ) and private (n = 23) online health insurance exchanges.

MAIN MEASURES

Features included consumer decision aids (e.g., total cost estimators, provider lookups) and plan display (e.g., order of plans). We examined private health insurance exchanges for notable features (i.e., those not found on public exchanges) and compared the total cost estimates on public versus private exchanges for a standardized consumer.

RESULTS

Nearly all studied consumer decision aids saw increased deployment in the public marketplaces in OEP4 compared to OEP3. Over half of the public exchanges (n = 7 of 13) had total cost estimators (versus 5 of 14 in OEP3) in window-shopping and integrated provider lookups (window-shopping: 7; real-shopping: 8). The most common default plan orders were by premium or total cost estimate. Notable features on private health insurance exchanges were unique data presentation (e.g., infographics) and further personalized shopping (e.g., recommended plan flags). Health plan total cost estimates varied substantially between the public and private exchanges (average difference $1526).

CONCLUSIONS

The ACA's public health insurance exchanges offered more tools in OEP4 to help consumers select a plan. While private health insurance exchanges presented notable features, the total cost estimates for a standardized consumer varied widely on public versus private exchanges.

Behavioral Health Coverage In The Individual Market Increased After ACA Parity Requirements

As of January 1, 2014, the Affordable Care Act designated mental health and substance use services as an essential health benefit in Marketplace plans and extended parity protections to the individual and small-group markets. We analyzed documents for seventy-eight individual and small-group plans in 2014 (after parity provisions took effect) and sixty comparison plans in 2013 (the year before parity provisions took effect) to understand the degree to which coverage for mental health and substance use care improved relative to medical/surgical benefits. The results suggest that plan issuers did what the provisions required them to do. Although in 2013 a lower proportion of plans covered mental health or substance use care, compared to medical/surgical care, in 2014 the proportions were the same. If essential health benefit requirements were to be removed and mental health and substance use coverage becomes similar to that in 2013, as many as 20 percent of the plans in our sample would not cover these conditions. To determine whether increases in behavioral health coverage will result in improved access to behavioral health services requires complementary data on the size of provider networks and use of services.