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Field testing the ENSEMBLE Minimum Dataset: performance of an instrument to address heterogeneity of treatment
Susan K Brenneman1, Wei Shen, Lee Brekke
1Health Economics & Outcomes Research, Optum, Eden Prairie, MN 55344, USA.
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.
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