Electronic Decision Support for Intervention in Poorly Controlled Type 2 Diabetes
NCT02924207 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 77
Last updated 2019-10-09
Summary
To determine the impact of an electronic decision support tool on physician decision making and patient outcomes for the treatment of poorly controlled diabetes mellitus. Primary endpoint will measure change in hemoglobin A1c. Secondary endpoints will examine cost of therapy and patient satisfaction with therapy. Study hypothesis is that use of the PATH decision tool will produce greater reduction overall in measurements of hemoglobin A1c in patients who participate and follow the PATH decision tool than patients who elect not to follow the PATH decision tool. PATH decision tool will provide more cost effective solutions for management of diabetic medication than current methods.
Conditions
Interventions
- OTHER
-
PATH electronic decision support tool
PATH, a clinical decision support tool for Type 2 Diabetes, was developed based on patient impact of efficacy, cost, implementation difficulty, comorbidities, side effects, and evidence based pleiotropic benefit. Drug efficacy was estimated using published clinical data for agents, both in terms of placebo controlled trials and head-to-head studies. Additional information regarding interventions was added with regard to FDA package inserts as well as large post marketing studies. Cost impact of intervention was described in terms of patient's estimated copay drawn from insurance plan as well as average retail price.
Sponsors & Collaborators
-
PATH Decision Support Software, LLC
collaborator UNKNOWN -
St Elizabeth Healthcare
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2016-09-30
- Primary Completion
- 2018-12-31
- Completion
- 2018-12-31
Countries
- United States
Study Locations
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