Variation in outpatient mental health service utilization under capitation.
BACKGROUND
To improve the financing of Colorado's public mental health system, the state designed, implemented, and evaluated a pilot program that consisted of three reimbursement models for the provision of outpatient services. Community mental health centers (CMHCs), the primary providers of comprehensive mental health services to Medicaid recipients in Colorado, had to search for innovative ways to provide cost-effective services.


OBJECTIVE
This study assessed outpatient service delivery to Medicaid-eligible consumers under this program. This paper is among the first to study variations in the delivery of specific types of outpatient mental health services under capitated financing systems.


METHODS
This study uses claims data (1994-1997) from Colorado's Medicaid and Mental Health Services Agency. The fee-for-service (FFS) model served as the comparison model. Two capitated models under evaluation are: (i) direct capitation (DC), where the state contracts with a non-profit entity to provide both the services and administers the capitated financing, and (ii) managed behavioral health organization (MBHO), which is a joint venture between a for-profit company who manages the capitated financing and a number of non-profit entities who deliver the services. A sample of severely mentally ill patients who reported at least one inpatient visit was included in the analysis. Types of outpatient services of interest are: day-treatment visits, group therapy, individual therapy, medication monitoring, case management, testing, and all other services. Comparisons were set up to examine differences in service utilization and cost between FFS and each of the two capitated models, using a two-part model across three time periods.


RESULTS
Results showed differences in service delivery among reimbursement models over time. Capitated providers had higher initial utilization in most outpatient service categories than their FFS counterparts and as a result of capitation, outpatient services delivered under these providers decreased to converge to the FFS pattern. Findings also suggest substitution between group therapy and individual psychotherapy. Overall, more service integration was observed and less complex service packages were provided post capitation. IMPLICATION FOR HEALTH CARE PROVISION AND POLICIES: Financing models and organizational arrangements have an impact on mental health service delivery. Changes in utilization and costs of specific types of outpatient services reflect the effects of capitation. Understanding the mechanism for these changes may lead to more streamlined service delivery allowing extra funding for expanding the range of cost-effective treatment alternatives. These changes pose implications for improving the financing of public mental health systems, coordination of mental health services with other healthcare and human services, and provision of services through a more efficient financing system.
Chou
Ann F
AF
Health Services and Research Development, Richard L. Roudebush VA Medical Center, and Indiana University Purdue University, 801 W. Michigan St., Indianapolis, IN 46202, USA. achou@iupui.edu
Wallace
Neal
N
Bloom
Joan R
JR
Hu
Teh-Wei
TW
D000293:Adolescent; D000328:Adult; D000368:Aged; D001714:Bipolar Disorder / Q000191:economics* / Q000453:epidemiology; D002204:Capitation Fee / Q000706:statistics & numerical data*; D003120:Colorado; D003156:Community Mental Health Services / Q000191:economics / Q000706:statistics & numerical data*; D003362:Cost-Benefit Analysis / Q000706:statistics & numerical data; D018588:Fee-for-Service Plans / Q000191:economics / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008297:Male; D008329:Managed Care Programs / Q000191:economics / Q000706:statistics & numerical data; D008484:Medicaid / Q000191:economics / Q000706:statistics & numerical data; D001523:Mental Disorders / Q000191:economics* / Q000453:epidemiology; D008875:Middle Aged; D012559:Schizophrenia / Q000191:economics* / Q000453:epidemiology; D013221:State Health Plans / Q000191:economics / Q000706:statistics & numerical data; D014481:United States; D014600:Utilization Review / Q000706:statistics & numerical data