Effect of computer-generated tailored feedback on glycemic control in people with diabetes in the community: a randomized controlled trial.

Objective: It is unknown whether computer-generated, patient-tailored feedback leads to improvements in glycemic control in people with type 2 diabetes.

Research Design And Methods: We recruited people with type 2 diabetes aged ≥ 40 years with a glycated hemoglobin (A1C) ≥ 7%, living in Hamilton, Canada, who were enrolled in a community-based program (Diabetes Hamilton) that provided regular evidence-based information and listings of community resources designed to facilitate diabetes self-management. After completing a questionnaire, participants were randomly allocated to either receive or not receive periodic computer-generated, evidence-based feedback on the basis of their questionnaire responses and designed to facilitate improved glycemic control and diabetes self-management.

Estimation of the impact of diabetes-related complications on health utilities for patients with type 2 diabetes in Ontario, Canada.

Objectives: The goal of this study was to analyze health-related quality of life (HRQL) data from a Canadian population with type 2 diabetes in order to estimate the disutility associated with experiencing a diabetes-related complication.

Methods: The EQ-5D, a standardized instrument for use as a measure of health outcome, was administered to 1,147 patients in Hamilton, Ontario, with type 2 diabetes. After controlling for age, gender, and duration of diabetes, changes in utility values were estimated by regressing the EQ-5D scores onto binary indicators for the presence of an event.