Development, Deployment, and Cost Effectiveness of a Self-Administered Stereo Non Mydriatic Automated Retinal Camera (SNARC) Containing Automated Retinal Lesion (ARL) Detection Using Adaptive Optics.

摘要

The overarching vision of this project is to help people with diabetes better manage their condition by providing them with a tool that will make self-management less confusing, less stressful, and less constrained. This is a two-phase project. In phase 1, we are designing a Personal Health Record Application (PHR-A) to assist with the following domains pertinent to diabetes self-management: 1) nutrition/diet (healthy eating) 2) physical activity (being active); 3) blood glucose (self-monitoring); 4) medications (tracking and adherence only); 5) outlook and beliefs; and 6) reducing risks through recommended medical visits and lab testing. Using information that the PHR-A receives on these self-management domains (from the user s own monitoring/journaling devices that store data in a PHR called Microsoft HealthVault and/or from the user s manual data entry directly into the service/PHR-A), the PHR-A analyzes, interprets, provides feedback, and makes recommendations bolstered by educational content on diabetes self-management. All of the feedback and recommendations are focused on lifestyle. Some feedback provides information on the relationships among the various self-care domains. We are obtaining user and clinical responses to the PHR-A as we develop it. In phase 2, the project is conducting a brief pilot study of the clinical efficacy of the PHR-A in people with diabetes. The main outcome is glycemic control. A secondary outcome is diabetes-related distress.