Clinical Decision Support for Women With a History of Gestational Diabetes
NCT01288144 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000
Last updated 2012-02-06
Summary
The investigators hypothesize that computer-assisted decision support will increase the percentage of women with a history of gestational diabetes who receive appropriate follow-up screening.
Specific Aim 1: Develop an algorithm to identify cases of gestational diabetes among patients in the Partners Health Care system using administrative and laboratory data.
Specific Aim 2: Assess primary care provider knowledge, attitudes, beliefs, and barriers to compliance regarding screening guidelines for women with a history of gestational diabetes.
Specific Aim 3: Test whether a computer-assisted decision support tool to identify patients with a GDM history and prompt screening will increase compliance with guidelines. The investigators hypothesize that decision support will significantly increase in the percentage of women screened.
Conditions
- Gestational Diabetes Mellitus
Interventions
- OTHER
-
Quality improvement initiative
In intervention clinics, the LMR will use the existing reminder function to alert providers that a patient has a probable history of gestational diabetes. The provider will then have the opportunity to clarify the subject's history and order appropriate screening testing. Providers will also have access to online reference material regarding GDM follow-up screening and lifestyle interventions.
Sponsors & Collaborators
-
Brigham and Women's Hospital
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2007-07-31
- Primary Completion
- 2011-11-30
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