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Robustness of a computer-assisted diabetes self-management intervention across patient characteristics, healthcare settings, and intervention staff |
Glasgow RE, Strycker LA, King DK, Toobert DJ, Rahm AK, Jex M, Nutting PA |
The American Journal of Managed Care 2006 Mar;12(3):137-145 |
clinical trial |
4/10 [Eligibility criteria: No; Random allocation: Yes; Concealed allocation: No; Baseline comparability: Yes; Blind subjects: No; Blind therapists: No; Blind assessors: No; Adequate follow-up: No; Intention-to-treat analysis: No; Between-group comparisons: Yes; Point estimates and variability: Yes. Note: Eligibility criteria item does not contribute to total score] *This score has been confirmed* |
BACKGROUND: A major problem in the dissemination of most interventions found to be efficacious is that they are of limited or unknown generalizability. OBJECTIVE: To document the "robustness", or external validity, of a computer-assisted diabetes self-management program across different patient characteristics, healthcare settings (mixed payer versus health maintenance organization), intervention staff, and outcomes. STUDY DESIGN: A randomized controlled trial evaluating a computer-assisted behavior change program for adult patients with type 2 diabetes mellitus (n = 217) versus a computerized health risk assessment. METHODS: Outcomes were identified using the RE-AIM framework and included program adoption among physicians, reach across patient groups, implementation, and behavioral (fat intake and physical activity) and biological (glycosylated hemoglobin and lipid levels) effectiveness measures. RESULTS: The program achieved 41% patient participation, variable adoption across healthcare settings (76% of health maintenance organization physicians versus 18% of non-health maintenance organization physicians participated), good implementation, and improvement in behavioral outcomes. There were few significant interactions between treatment condition and patient characteristics, type of healthcare setting, or interventionist experience on effectiveness measures. CONCLUSIONS: Patients and physicians were willing to participate in a computer-assisted dietary and physical activity goal-setting intervention, although participation varied by healthcare setting. Interventionists from different backgrounds successfully delivered the intervention, and the results appear robust across various patient and delivery characteristics.
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