Literature DB >> 8436360

Service utilization patterns as determinants of capitation rates.

M E Smith1, P Loftus-Rueckheim.   

Abstract

OBJECTIVE: In a capitation payment system, the ability to project service requirements and cost is critical. The types and levels of services needed by persons with serious mental illness vary. The purpose of this study was to identify different patterns of service utilization and patient characteristics and costs associated with them.
METHODS: Service use by 55 clients participating in a psychosocial-habilitation outpatient program at a hospital-based community mental health center was tracked for one year. Treatment cost for all services was calculated for each patient.
RESULTS: Cluster analysis indicated that for persons with serious mental illness who enter community treatment, there appear to be four distinct patterns of service use: low, moderate, moderately high, and high. The groups were differentiated only by the presence of a disability (among the moderately high users) and a history of frequent inpatient treatment (among the high users). The two highest-use groups represented about one-third of the total sample but consumed more than three-fourths of the total resources.
CONCLUSIONS: The lack of significant group differences on most clinical variables may make it difficult to develop capitation rates for subgroups of persons with serious mental illness. Service use may be determined by factors other than clinical need.

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Year:  1993        PMID: 8436360     DOI: 10.1176/ps.44.1.49

Source DB:  PubMed          Journal:  Hosp Community Psychiatry        ISSN: 0022-1597


  2 in total

1.  Risk adjustment in the Hoosier Assurance Plan: impact on providers.

Authors:  R N DeLiberty; F L Newman; E O Ward
Journal:  J Behav Health Serv Res       Date:  2001-08       Impact factor: 1.505

2.  Effects of capitation on health of the chronically ill. Implications for antipsychotic drug therapy.

Authors:  S K Reed; K Maharaj
Journal:  Pharmacoeconomics       Date:  1994-12       Impact factor: 4.981

  2 in total

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