Field testing the ENSEMBLE Minimum Dataset: performance of an instrument to address heterogeneity of treatment effects. (September 2014)

• Record Type: Journal Article
• Authors: Brenneman, Susan K; Shen, Wei; Brekke, Lee; Paczkowski, Rosirene; Bancroft, Tim; Kaplan, Sherrie H; Greenfield, Sheldon; Berger, Marc; Buesching, Don P
• Is Part Of: Journal of comparative effectiveness research. Volume 3:Number 5(2014)
• Page Start: 463
• Page End: 472
• Publication Date: 2014-09
• Subjects: healthcare utilization -- heterogeneity of treatment effect -- patient-reported health status -- questionnaires; Medical care -- Research -- Periodicals; Medical care -- Research -- Evaluation -- Periodicals; Medical care -- Decision making -- Periodicals; Evidence-based medicine -- Periodicals; Medicine, Comparative -- Periodicals; 362.1072
• DOI: 10.2217/cer.14.40
• Languages: English
• ISSNs: 2042-6305

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.