Measuring use and cost of care for patients with mood disorders: The utilization and cost inventory

T. Michael Kashner, Michael D. Stensland, Lisa Lind, Annie Wicker, A. John Rush, Richard M. Golden, Steven S. Henley

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Researchers conducting cost-outcome studies must account for all materially relevant care that subjects receive from their care providers. However, access to provider records is often limited. This article describes and tests the Utilization and Cost Inventory (UAC-I), a structured patient interview designed to measure costs of care when access to provider records is limited.

METHODS: UAC-I was tested on 212 consenting adult veterans with mood disorder attending a VA medical center. Counts (inpatient days and outpatient encounters) and costs (dollars) computed from survey responses were compared with estimates from medical records and an alternative structured questionnaire.

RESULTS: The agreement between inpatient costs computed from provider records and from UAC-I responses, assessed using the intraclass correlation coefficient (ICC), was 0.66, 95% confidence interval (CI), 0.30-0.84; the bias was -3.7%, 95% CI, -48 to 41. The ICC for the service data (inpatient days) was 0.97, 95% CI, 0.95-0.99; the bias was <1%, 95% CI, -14 to 15. The ICC for outpatient costs computed from provider records and from UAC-I responses was 0.53 95% CI, 0.38-0.65; the bias was <1%, 95% CI, -27 to 27. The ICC for outpatient encounters was 0.74, 95% CI, 0.65-0.80; the bias was <1%, 95% CI, -16 to 18.

CONCLUSIONS: These results indicate that it may be feasible for cost-outcome studies to compare patient groups for inpatient and outpatient costs computed from patient self-reports.

Original languageEnglish
Pages (from-to)184-190
Number of pages7
JournalMedical Care
Volume47
Issue number2
DOIs
StatePublished - Feb 2009

ASJC Scopus Subject Areas

  • Public Health, Environmental and Occupational Health

Keywords

  • Costs
  • Hybrid databases
  • Measuring utilization
  • Ambulatory Care/economics
  • Models, Econometric
  • United States
  • Humans
  • Middle Aged
  • Mood Disorders/economics
  • Veterans/psychology
  • Male
  • Length of Stay/economics
  • Health Services Research
  • Feasibility Studies
  • Utilization Review/statistics & numerical data
  • Adult
  • Female
  • Surveys and Questionnaires
  • Delivery of Health Care/economics
  • Outcome Assessment, Health Care
  • Mental Health Services/economics
  • Patient Admission/economics
  • Patient Care Team/economics
  • Health Surveys
  • Cost-Benefit Analysis
  • Health Care Costs/statistics & numerical data

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