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The purpose of this study is to evaluate the impact of using a web-based (P-PROMPT) chronic disease management system (CDMS) by primary care practitioners and their team members and on their care for patients with diabetes. The system will help to ensure that all patients have up-to-date laboratory monitoring and visits as recommended by the Canadian Diabetes Association Guidelines. The hypothesis is that the use of a CDMS in Ontario primary care practices, as a part of the routine clinical management of diabetes patients, can improve monitoring frequency of A1C, blood pressure (BP) and cholesterol levels. The results of this study will serve as a benchmark for the utilization of chronic disease management software tools in primary care diabetes management for patients in Ontario, establishing and providing evidence to inform decision-makers. If the results are favorable towards CDMS interventions for the management of diabetes, potential expansion and availability of these types of programs may be possible for other chronic diseases.
Full description
Practice Guidelines recommend that patients with chronic diseases should be monitored with specified clinical measurements each with regular repeats at different specified time intervals or on specified conditions. It is virtually impossible for health care providers to adhere consistently to guidelines and to do so sustainability as well as equitably for "most if not all" of their patients with diabetes. Ontario Health Technology Advisory Committee (OHTAC) has requested the following study. Aggregate monthly primary care practice level data will form the basis of the analysis. Primary care practitioners in Ontario will be enrolled. Differences in 1-year outcome measures within will be performed. Baseline, 2 month, 6 month and 12 month site team member surveys will be completed. Using patient level data from each site, a cost-utility analysis will be conducted. Six aspects related to the use of the CDMS will be examined.
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Ontario primary care practitioners involved in the QIIP Learning Collaboratives who are practicing in one of the following local health integration networks:
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Data sourced from clinicaltrials.gov
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