Mental Health Services Research

, Volume 7, Issue 2, pp 103–112

Clinical Improvement Associated with Conformance to HEDIS-Based Depression Care

Authors

    • Center for Studies in Family Medicine, Department of Family MedicineUniversity of Colorado Health Sciences Center
    • Center for Studies in Family Medicine, Department of Family MedicineUniversity of Colorado Health Sciences Center, UCHSC at Fitzsimons
  • L. Miriam Dickinson
    • Center for Studies in Family Medicine, Department of Family MedicineUniversity of Colorado Health Sciences Center
  • John Fortney
    • Health Services Research and Development, Center for Mental Health and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR and Centers for Mental Healthcare Research, Department of PsychiatryUniversity of Arkansas for Medical Sciences
  • John Westfall
    • Center for Studies in Family Medicine, Department of Family MedicineUniversity of Colorado Health Sciences Center
  • Richard C. Hermann
    • Center for Quality Assessment and Improvement in Mental Health, Department of Psychiatry, Research Scientist, Health InstituteTufts-New England Medical Center
Article

DOI: 10.1007/s11020-005-3781-1

Cite this article as:
Rost, K., Dickinson, L.M., Fortney, J. et al. Ment Health Serv Res (2005) 7: 103. doi:10.1007/s11020-005-3781-1

Abstract

Background: Employers recently requested a valid metric of depression treatment quality. Such an indicator needs to measure the proportion of the population in need who receive high-quality care, and to predict clinical improvement.Methods: We constructed an administrative database indicator derived from HEDIS criteria for antidepressant medication management, and tested it in 230 employed patients in five health plans.Results: Indicator rates were 7.0% in the population in need. Conformance to indicator criteria in this population was associated with 23.0% improvement in depression severity over 1 year (p =.02).Conclusions: Administrative database indicators that predict clinical improvement are a very rare accomplishment. Existing depression indicators may need to be calculated for the population in need to provide a valid metric for employer purchasers.

Keywords

HEDISprimary caredepressionoutcomesquality

Copyright information

© Springer Science + Business Media, Inc. 2005