Cost Offsets of Treatment for Serious Mental Illness and Substance Use Disorder.

OBJECTIVE: The authors examined whether timely treatment for serious mental illness and substance use disorder reduces overall health care costs in a 3-year period. METHODS: Claims data from the IBM MarketScan Research Databases (2010-2017) were analyzed. The population studied included 2,997 Medicaid enrollees and 35,805 commercial insurance enrollees ages 18-64 years with an index event for a serious mental illness and 2,315 Medicaid enrollees and 28,419 commercial insurance enrollees with an index event for a substance use disorder. Health care costs in the 3 years after an index event were calculated for enrollees who received care that met a minimum threshold for treatment and for those who did not receive such care. The Toolkit for Weighting and Analysis of Nonequivalent Groups was used to control for statistically significant differences in pretreatment characteristics between the groups. RESULTS: All health care spending for enrollees who were engaged in behavioral health treatment for substance use disorder or a serious mental illness increased from year 0 to year 1 but decreased faster than the spending of enrollees who were not engaged in treatment, with larger trends for those engaged in substance use disorder treatment. Expenses for inpatient and emergency department care decreased over the 3 follow-up years; however, spending on outpatient services was significantly higher in all 3 follow-up years for those engaged in treatment. CONCLUSIONS: Health care delivery and payment models that improve access to behavioral health treatment may reduce emergency department, inpatient, and overall health care costs for particular subpopulations.

Rural-Nonrural Differences in Telemedicine Use for Mental and Substance Use Disorders Among Medicaid Beneficiaries.

OBJECTIVE: This study investigated recent rural-nonrural trends in the prevalence and amount of mental and substance use disorder telemedicine received by adult Medicaid beneficiaries. METHODS: An analysis of 2012-2017 claims data from the IBM MarketScan Multi-State Medicaid Database for adult beneficiaries ages 18-64 years with mental and substance use disorder diagnoses (N= 1,603,066) identified telemedicine services by using procedure modifier codes and ICD-9 and ICD-10 diagnosis codes. Unadjusted trends in telemedicine use were examined, and multivariate regression models compared the prevalence and amount of telemedicine and in-person outpatient treatment received by rural (N=428,697) and nonrural (N= 1,174,369) beneficiaries and by diagnosis. RESULTS: Rates of telemedicine treatment for mental and substance use disorders among Medicaid beneficiaries increased during the study period but remained low. Among rural beneficiaries, there was a 5.9 percentage point increase in telemedicine for mental disorders and a 1.9 percentage point increase in telemedicine for substance use disorders. After control for other individual characteristics, rural beneficiaries were more likely than nonrural beneficiaries to receive any telemedicine for mental disorder (2.2 percentage points more likely) or substance use disorder (0.6 percentage points) treatment. Receipt of telemedicine was associated with receipt of more in-person outpatient services by rural beneficiaries (11.2 more visits for mental disorders and 8.2 more for substance use disorders). CONCLUSIONS: Although provision of telemedicine for mental and substance use disorders increased during the study period and was somewhat more common among rural Medicaid beneficiaries, it remains an underused resource for addressing care shortages in rural areas.