Using Networks, Informatics, Technology, and Education in Care for People With Diabetes
NCT00421850 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 3491
Last updated 2011-05-23
Summary
The costs of diabetes care (in health care dollars \& human suffering) in the United States are second only to mental illness. Randomized control trials \& observational studies have shown that glycemic control is predictive of the onset \& severity of complications from diabetes and costs of care. In addition, a significant percentage of costs associated with diabetes can be reduced or delayed by appropriate diagnosis, preventive strategies, \& management. The Planned Care Model (advocated by the Institute for Healthcare Improvement) has shown success in demonstrating improved practice performance and patient outcomes during a limited pilot in our clinical practice. We are proposing to generalize the Planned Care Model, to assess the value of planned care for all people with diabetes. The Planned Care Model will be implemented at each practice site and will consist of a structured communication schema between the patient and the primary health care team, to improve care for people with diabetes. Traditional care will be defined as the traditional system of care for patients prior to their participation in the Planned Care Model. It is hypothesized that this Planned Care Model will improve compliance with appropriate care guidelines and improve short and long term health outcomes (metabolic, satisfaction, morbidity, mortality and healthcare utilization). In conjunction with this study, providers at each of the practice sites will be randomly assigned to a structured communication with specialty care, referred to as UNITED Planned Care (Use of Networks, Informatics, Telemedicine, and Education in Disease Management). This communication schema will only be possible once the assigned provider?s patient is participating in the Planned Care Model. The UNITED Planned Care model will include point-of-care evidence based messages and specialty advice determined by performance gaps and outcomes for the patient. UNITED Planned Care is hypothesized to have the greatest impact on short \& long term health outcomes.
Conditions
Interventions
- BEHAVIORAL
-
UNITED Planned Care
Sponsors & Collaborators
- collaborator INDUSTRY
- lead OTHER
Principal Investigators
-
Steven A. Smith, M.D. · Mayo Clinic
Study Design
- Allocation
- RANDOMIZED
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2001-07-31
- Primary Completion
- 2005-01-31
- Completion
- 2005-01-31
Countries
- United States
Study Locations
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