Skip to main content
OpenTrials
Completed

NCT Number: NCT01288144

Clinical Decision Support for Women With a History of Gestational Diabetes

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.

Completed

Looking for future studies?

Notify Me

Key information

About this study

Approximately 5 percent of women are diagnosed with gestational diabetes (GDM) during pregnancy. These women face an increased risk of progression to type 2 diabetes1 and may benefit from lifestyle interventions and screening to detect early disease. However, studies have shown that less than half of women are screened appropriately in the postpartum period. This performance gap may reflect both lack of communication between obstetric and primary care providers and lack of knowledge of appropriate screening guidelines. The investigators plan to assess a quality improvement initiative, using administrative and clinical data, to identify women with a history of GDM and implement decision support to enhance quality of care.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion:

  • Primary care clinic (gynecology, internal medicine, community health center)
  • Use longitudinal medical record (LMR) program for documentation
  • Previously participated in rct of decision support intervention

Exclusion:

  • None

Treatment and study plan

Quality improvement initiative

Other

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.

Other names: Quality improvement initiative using computerized decision support

Primary outcomes

  1. Rate of screening

    Time frame: 1 year following implementation at all sites (Nov. 2011)

    The American Diabetes Association recommends that women with a history of GDM undergo glucose screening at 6 weeks post partum. Women with normal postpartum glucose testing should receive follow-up testing every three years, and those with impaired glucose tolerance should receive annual follow-up screening.

    Our study will evaluate a quality improvement intervention to increase the number of women who are appropriately identified and undergo screening.

Sponsors and collaborators

Lead sponsor

Brigham and Women's Hospital

Other

Registry information

Important dates

Study start
2007
Primary completion
2011
First posted
Feb 2, 2011
Registry last updated
Feb 6, 2012

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.