Field testing the ENSEMBLE Minimum Dataset: performance of an instrument to address heterogeneity of treatment effects

J Comp Eff Res. 2014 Sep;3(5):463-72. doi: 10.2217/cer.14.40.

Abstract

Aim: To assess the ability of ENterprising SElective Multi-instrument BLend for hEterogeneity analysis (ENSEMBLE) Minimum Dataset instrument dimensions to discriminate among subgroups of patients expected to have differential outcomes.

Materials & methods: Patients with Type 2 diabetes, knee osteoarthritis, ischemic heart disease or heart failure completed a survey designed to represent three dimensions (health, personality and behavior). Health-related outcomes and utilization were investigated using claims data. Discriminant validity and associations between the dimensions and outcomes were assessed.

Results: A total of 2625 patients completed the survey. The dimensions discriminated 50-100% of the outcome levels across disease cohorts; behavior dimension scores did not differ significantly among the healthcare utilization level subgroups in any disease cohort.

Conclusion: ENSEMBLE Minimum Dataset dimensions discriminated health-related outcome levels among patients with varied diseases.

Keywords: healthcare utilization; heterogeneity of treatment effect; patient-reported health status; questionnaires.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Comparative Effectiveness Research / methods
  • Comparative Effectiveness Research / statistics & numerical data
  • Cross-Sectional Studies
  • Datasets as Topic / standards*
  • Diabetes Mellitus, Type 2 / therapy*
  • Female
  • Heart Failure / therapy*
  • Humans
  • Male
  • Middle Aged
  • Myocardial Ischemia / therapy*
  • Osteoarthritis, Knee / therapy*
  • Outcome and Process Assessment, Health Care / methods*
  • Outcome and Process Assessment, Health Care / statistics & numerical data
  • Patient Outcome Assessment*
  • Reproducibility of Results
  • Retrospective Studies
  • Surveys and Questionnaires