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Zhu JM, Rowland R, Polsky D, Suneson I, Haeder SF, Cohen DJ, McConnell KJ. Medicaid managed care organizations' experiences with network adequacy. HEALTH AFFAIRS SCHOLAR 2025; 3:qxaf049. [PMID: 40190698 PMCID: PMC11970020 DOI: 10.1093/haschl/qxaf049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 02/21/2025] [Accepted: 03/11/2025] [Indexed: 04/09/2025]
Abstract
Access to behavioral health care continues to be a challenge in Medicaid, where most enrollees are restricted to networks of providers and facilities contracted with managed care organizations (MCOs). While state and federal regulations have sought to ensure access to care, little is known about how health plans perceive and respond to these network adequacy standards. We interviewed 27 administrators and executives across 19 local, regional, and national Medicaid MCOs to assess their behavioral health networks and perceived barriers and facilitators in these efforts. We purposively sampled MCOs for maximum heterogeneity, with early findings used to refine subsequent recruitment targets until thematic saturation. We used an iterative inductive coding approach with code discrepancies analyzed and reconciled until consensus was reached. Five major themes arose: existing regulations often failed to capture true access gaps; MCOs used supplementary approaches to monitor network adequacy; limited corrective actions were available; access measures were more meaningful when grounded in enrollee experiences; and provider directory accuracy was challenged by logistical barriers. In this first study to examine MCOs' experiences with network adequacy monitoring, our findings suggest key deficiencies with current regulations and opportunities to support MCOs more broadly as policymakers seek to strengthen network adequacy regulations.
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Affiliation(s)
- Jane M Zhu
- Division of General Internal Medicine, Oregon Health & Science University, Portland, OR 97239, United States
| | - Ruth Rowland
- Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR 97239, United States
| | - Daniel Polsky
- Carey School of Business, Johns Hopkins University, Baltimore, MD 21202, United States
| | - Inga Suneson
- Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR 97239, United States
| | - Simon F Haeder
- Department of Health Policy and Management, Texas A&M University, College Station, TX 88843, United States
| | - Deborah J Cohen
- Department of Family Medicine, Oregon Health & Science University, Portland, OR 97239, United States
| | - K John McConnell
- Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR 97239, United States
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Last BS, Kiefer M, Mirhashem R, Adams DR. Slipping Through the Cracks: Clinicians' Perspectives on the Gaps in New York City's Public Mental Health System. Community Ment Health J 2025; 61:122-129. [PMID: 39141222 DOI: 10.1007/s10597-024-01333-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 07/19/2024] [Indexed: 08/15/2024]
Abstract
Most people who seek mental health treatment cannot access it. Certain groups (e.g., Medicaid enrollees and the uninsured) face particularly severe treatment access barriers along the care continuum. We interviewed 31 clinicians across two studies about their perspectives working in New York City's public mental health system. Because every clinician across both studies reported gaps in the system, we deployed an emergent, "serendipitous finding" approach and qualitatively analyzed the interviews together. Clinicians described three public mental health system gaps. First, many treatment-seekers must wait long periods of time to receive care and some never receive it at all. Second, patients with more serious challenges cannot access longer-term, higher-intensity, or specialized treatment. Third, some patients receiving high-intensity services may benefit from lower-intensity mental health support that is better integrated with medical and social service support. Coordinated and sustained financial investments at every step of the mental healthcare continuum are needed.
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Affiliation(s)
- Briana S Last
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA.
| | - Madeline Kiefer
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Rebecca Mirhashem
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Danielle R Adams
- Brown School of Social Work and Public Health, Washington University in St. Louis, St. Louis, MO, USA
- School of Social Work, University of Missouri, Columbia, MO, USA
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Zhu JM, Huntington A, Haeder S, Wolk C, McConnell KJ. Insurance acceptance and cash pay rates for psychotherapy in the US. HEALTH AFFAIRS SCHOLAR 2024; 2:qxae110. [PMID: 39301411 PMCID: PMC11412241 DOI: 10.1093/haschl/qxae110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Revised: 08/26/2024] [Accepted: 09/05/2024] [Indexed: 09/22/2024]
Abstract
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.
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Affiliation(s)
- Jane M Zhu
- Division of General Internal Medicine, Oregon Health and Science University, Portland, OR 97239, USA
| | - Aine Huntington
- Center for Health Systems Effectiveness, Oregon Health and Science University, Portland, OR 97239, USA
| | - Simon Haeder
- Department of Health Policy and Management, Texas A&M University School of Public Health, College Station, TX 77843, USA
| | - Courtney Wolk
- Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - K John McConnell
- Center for Health Systems Effectiveness, Oregon Health and Science University, Portland, OR 97239, USA
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Baker M, Sorensen J. The 988 suicide hotline-Lifeline or letdown? A pre-post policy analysis. Front Public Health 2024; 12:1337362. [PMID: 38694977 PMCID: PMC11061396 DOI: 10.3389/fpubh.2024.1337362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 03/26/2024] [Indexed: 05/04/2024] Open
Abstract
Suicide has emerged as an urgent threat in recent years as COVID-19 impaired the health and economic wellbeing of millions of Americans. According to the Centers for Disease Control and Prevention, the impact of COVID-19 and the ongoing opioid epidemic has "taken a mental, emotional, physical, and economic toll on individuals, families, and communities," increasing the need for innovative solutions to prevent suicide on a national scale. The National Suicide Hotline Designation Act of 2020 established 988 as the universal telephone number for suicide prevention and represents a key federal intervention to address this crisis. However, research on 9-8-8's effectiveness is limited, given the Act's recent enactment and implementation at the federal and state levels. This policy analysis investigates how and to what extent the mental health crisis system in Georgia has improved since the implementation of the 2020 Act as well as the implications of state law on population-level mental health outcomes. Georgia is used as a nationally representative case study for two reasons: (1) Georgia had a robust statewide suicide hotline prior to 2020, providing solid infrastructure on which federal expansion of a suicide hotline number could be built, and (2) the conflicting characteristics of Georgia's mental health system represent several different pockets of the U.S., allowing this analysis to apply to a broad range of states and locales. The paper draws on takeaways from Georgia to propose state and national policy recommendations for equitable interventions to prevent and respond to this form of violence.
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Affiliation(s)
- Michaella Baker
- Pritzker School of Law, Northwestern University, Chicago, IL, United States
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Rodríguez GM, Pederson CA, Garcia D, Schwartz K, Brown SA, Aalsma MC. A classification system for youth outpatient behavioral health services billed to medicaid. FRONTIERS IN HEALTH SERVICES 2024; 4:1298592. [PMID: 38375532 PMCID: PMC10875037 DOI: 10.3389/frhs.2024.1298592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/22/2024] [Indexed: 02/21/2024]
Abstract
Rates of youth behavioral health concerns have been steadily rising. Administrative data can be used to study behavioral health service utilization among youth, but current methods that rely on identifying an associated behavioral health diagnosis or provider specialty are limited. We reviewed all procedure codes billed to Medicaid for youth in one U.S. county over a 10-year period. We identified 158 outpatient behavioral health procedure codes and classified them according to service type. This classification system can be used by health services researchers to better characterize youth behavioral health service utilization.
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Affiliation(s)
- Gabriela M. Rodríguez
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Casey A. Pederson
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Dainelys Garcia
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Katherine Schwartz
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Steven A. Brown
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Matthew C. Aalsma
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States
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Treitler P, Enich M, Bowden C, Mahone A, Lloyd J, Crystal S. Implementation of an office-based addiction treatment model for Medicaid enrollees: A mixed methods study. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2024; 156:209212. [PMID: 37935350 PMCID: PMC10842178 DOI: 10.1016/j.josat.2023.209212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 05/31/2023] [Accepted: 10/24/2023] [Indexed: 11/09/2023]
Abstract
INTRODUCTION Medications for opioid use disorder (MOUD) are the most effective treatment for opioid use disorder (OUD) but remain underutilized. To reduce barriers to MOUD prescribing and increase treatment access, New Jersey's Medicaid program implemented the Office-Based Addiction Treatment (OBAT) Program in 2019, which increased reimbursement for office-based buprenorphine prescribing and established newly reimbursable patient navigation services in OBAT clinics. Using a mixed-methods design, this study aimed to describe stakeholder experiences with the OBAT program and to assess implementation and uptake of the program. METHODS This study used a concurrent, triangulated mixed-methods design, which integrated complementary qualitative (semi-structured interviews) and quantitative (Medicaid claims) data to gain an in-depth understanding of the implementation of the OBAT program. We elicited stakeholder perspectives through interviews with 22 NJ Medicaid MOUD providers and 8 policy key informants, and examined trends in OBAT program utilization using 2019-2020 NJ Medicaid claims for 5380 Medicaid enrollees who used OBAT services. We used cross-case analysis (provider interviews) and a case study approach (key informant interviews) in analyzing qualitative data, and calculated descriptive statistics and trends for quantitative data. RESULTS Provider enrollment and utilization of OBAT services increased steadily during the first two years of program implementation. Interviewees reported that enhanced reimbursements for office-based MOUD incentivized greater MOUD prescribing, while coverage of patient navigation services improved patient care. Despite increasing enrollment in the OBAT program, the proportion of primary care physicians in the state who enrolled in the program remained limited. Key barriers to enrollment included: requirements for a patient navigator; concerns about administrative burdens and reimbursement delays from Medicaid; lack of awareness of the program; and beliefs that patients with OUD were better served in comprehensive care settings. Patient navigation was highlighted as a critical and valuable element of the program, but navigator enrollment and reimbursement challenges may have prevented greater uptake of this service. CONCLUSIONS Implementation of an OBAT model that enhanced reimbursement and provided coverage for patient navigation likely expanded access to MOUD in NJ. Results support initiatives like the OBAT program in improving access to MOUD, but program adaptations, where feasible, could improve uptake and utilization.
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Affiliation(s)
- Peter Treitler
- Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; Boston University School of Social Work, 264 Bay State Rd., Boston, MA 02215, United States of America.
| | - Michael Enich
- Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; School of Social Work, Rutgers, the State University of New Jersey, 120 Albany St., New Brunswick, NJ 08901, United States of America
| | - Cadence Bowden
- Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America
| | - Anais Mahone
- Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; School of Social Work, Rutgers, the State University of New Jersey, 120 Albany St., New Brunswick, NJ 08901, United States of America
| | - James Lloyd
- Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America
| | - Stephen Crystal
- Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St. 3rd Floor, New Brunswick, NJ 08901, United States of America; School of Social Work, Rutgers, the State University of New Jersey, 120 Albany St., New Brunswick, NJ 08901, United States of America; School of Public Health, Rutgers, the State University of New Jersey, 683 Hoes Lane West, Piscataway, NJ 08854, United States of America
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Geils H, Riley A, Lavelle TA. Incentivizing drug development in serious mental illness. Clin Ther 2022; 44:1258-1267. [DOI: 10.1016/j.clinthera.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 07/22/2022] [Accepted: 08/07/2022] [Indexed: 11/03/2022]
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Cummings JR, Wilk AS, Connors EH. Addressing the Child Mental Health State of Emergency in Schools-Opportunities for State Policy Makers. JAMA Pediatr 2022; 176:541-542. [PMID: 35344000 PMCID: PMC9177507 DOI: 10.1001/jamapediatrics.2022.0094] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Janet R. Cummings
- Department of Health Policy and Management, Emory University Rollins School of Public Health
| | - Adam S. Wilk
- Department of Health Policy and Management, Emory University Rollins School of Public Health
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Structural Barriers Associated with the Intersection of Traumatic Stress and Gun Violence: A Case Example of New Orleans. Healthcare (Basel) 2021; 9:healthcare9121645. [PMID: 34946370 PMCID: PMC8701294 DOI: 10.3390/healthcare9121645] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 10/25/2021] [Accepted: 11/22/2021] [Indexed: 11/17/2022] Open
Abstract
Gun violence drastically increased in urban cities following the ease of shutdown restrictions associated with the Coronavirus Pandemic. The association of gun violence and COVID-19 has highlighted the importance of taking a public health perspective, particularly as it relates to impacts on the Black community. In this article we discuss macro-level factors and community traumas in the city of New Orleans, an area that has had longstanding issues related to gun violence. Community structural issues, traumatic stress from disasters, and recommendations to address disparities in social determinants of health are discussed.
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Costales B, Goodin AJ. Outpatient Off-Label Gabapentin Use for Psychiatric Indications Among U.S. Adults, 2011-2016. Psychiatr Serv 2021; 72:1246-1253. [PMID: 34015964 DOI: 10.1176/appi.ps.202000338] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Gabapentin is widely prescribed off label in medical practice, including psychiatry. The U.S. Food and Drug Administration (FDA) warned of risks associated with gabapentin combined with central nervous system depressant (CNS-D) drugs, which are commonly prescribed in psychiatric treatment. This study examined off-label outpatient gabapentin use for psychiatric indications and concomitant CNS-D medication use. METHODS National Ambulatory Care Medical Survey data (2011-2016) were used to identify encounters involving gabapentin (gabapentin visits) for adults (ages ≥18) (N=5,732). FDA-approved uses and off-label psychiatric use indications were identified with ICD-9-CM and ICD-10-CM diagnosis codes. CNS-D drugs examined were opioids, benzodiazepines, sedatives-hypnotics, antidepressants, antipsychotics, first-generation antihistamines, and skeletal muscle relaxants. Concomitance was prescription of one or more CNS-D medications at the same visit. Visits were stratified by provider type and specialty. RESULTS Between 2011 and 2016, 2.8% of visits listed gabapentin prescriptions (weighted estimate of 129.6 million visits). A small proportion (<1%) listed an FDA-approved indication. Among off-label gabapentin visits, 5.3% listed a depressive disorder, 3.5% an anxiety disorder, and 1.8% bipolar disorder. Over 6 years, 58.4% of off-label gabapentin visits listed one or more concomitant CNS-D medications, most frequently antidepressants (24.3%), opioids (22.9%), and benzodiazepines (17.3%). Most gabapentin visits were with primary care providers (34.9%) and other provider specialties (i.e., not primary care, neurology, or psychiatry) (48.1%). CONCLUSION In this nationally representative sample, <1% of outpatient gabapentin use was for approved indications. High concomitant use of CNS-D drugs and off-label gabapentin for psychiatric diagnoses underlines the need for improved communication about safety.
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Affiliation(s)
- Brianna Costales
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, and Center for Drug Evaluation and Safety, University of Florida, Gainesville
| | - Amie J Goodin
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, and Center for Drug Evaluation and Safety, University of Florida, Gainesville
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Fung V, Price M, Nierenberg AA, Hsu J, Newhouse JP, Cook BL. Assessment of Behavioral Health Services Use Among Low-Income Medicare Beneficiaries After Reductions in Coinsurance Fees. JAMA Netw Open 2020; 3:e2019854. [PMID: 33030552 PMCID: PMC7545309 DOI: 10.1001/jamanetworkopen.2020.19854] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Medicare has historically imposed higher beneficiary coinsurance for behavioral health services than for medical and surgical care but gradually introduced parity between 2009 and 2014. Although Medicare insures many people with serious mental illness (SMI), there is limited information on the impact of coinsurance parity in this population. OBJECTIVE To examine the association between coinsurance parity and outpatient behavioral health care use among low-income beneficiaries with SMI. DESIGN, SETTING, AND PARTICIPANTS This cohort study used Medicare claims data for a 50% national sample of lower-income Medicare beneficiaries from January 1, 2007, to December 31, 2016. The study sample included patients with SMI (schizophrenia, bipolar disorder, or major depressive disorder). Data analysis was performed from August 1, 2018, to July 15, 2020. EXPOSURES Reduction in behavioral health care coinsurance from 50% to 20% between January 1, 2009, and January 1, 2014. MAIN OUTCOMES AND MEASURES Total annual spending for outpatient behavioral health care visits and the percentage of beneficiaries with an annual outpatient behavioral health care visit overall, with a prescriber, and with a psychiatrist. A difference-in-difference approach was used to compare outcomes before and after the reduction in coinsurance for beneficiaries with and without cost-sharing decreases. Linear regression models with beneficiary fixed effects that adjusted for time-changing beneficiary- and area-level covariates were used to examine changes in outcomes. RESULTS The study included 793 275 beneficiaries with SMI in 2008; 518 893 (65.4%) were younger than 65 years (mean [SD] age, 57.6 [16.1] years), 511 265 (64.4%) were female, and 552 056 (69.6%) were White. In 2008, the adjusted percentage of beneficiaries with an outpatient behavioral health care visit was 40.7% (95% CI, 40.4%-41.0%) among those eligible for the cost-sharing reduction and 44.9% (95% CI, 44.9%-45.0%) among those with free care. The mean adjusted out-of-pocket costs for outpatient behavioral health care visits decreased from $132 (95% CI, $129-$136) in 2008 to $64 (95% CI, $61-$66) in 2016 among those with reductions in cost-sharing. The adjusted percentage of beneficiaries with behavioral health care visits increased to 42.2% (95% CI, 41.9%-42.5%) in the group with a reduction in coinsurance and to 47.2% (95% CI, 47.0%-47.3%) in the group with free care. The cost-sharing reduction was not positively associated with visits (eg, relative change of -0.76 percentage points [95% CI, -1.12 to -0.40 percentage points] in the percentage of beneficiaries with outpatient behavioral health care visits in 2016 vs 2008). CONCLUSIONS AND RELEVANCE This cohort study found that beneficiary costs for outpatient behavioral health care decreased between 2009 and 2014. There was no association between cost-sharing reductions and changes in behavioral health care visits. Low levels of use in this high-need population suggest the need for other policy efforts to address additional barriers to behavioral health care.
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Affiliation(s)
- Vicki Fung
- The Mongan Institute, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Mary Price
- The Mongan Institute, Massachusetts General Hospital, Boston
| | - Andrew A. Nierenberg
- Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Boston
| | - John Hsu
- The Mongan Institute, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Joseph P. Newhouse
- Harvard Medical School, Boston, Massachusetts
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Harvard Kennedy School, Cambridge, Massachusetts
| | - Benjamin L. Cook
- Harvard Medical School, Boston, Massachusetts
- Health Equity Research Lab, Cambridge Health Alliance and Harvard Medical School, Cambridge, Massachusetts
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