Literature DB >> 12610033

A controlled trial of web-based diabetes disease management: the MGH diabetes primary care improvement project.

James B Meigs1, Enrico Cagliero, Anil Dubey, Patricia Murphy-Sheehy, Catharyn Gildesgame, Henry Chueh, Michael J Barry, Daniel E Singer, David M Nathan.   

Abstract

OBJECTIVE: To test effects of a web-based decision support tool, the diabetes Disease Management Application (DMA), developed to improve evidence-based management of type 2 diabetes. RESEARCH DESIGN AND METHODS: We conducted a group randomized controlled trial of 12 intervention and 14 control staff providers and 307 intervention and 291 control patients with type 2 diabetes in a hospital-based internal medicine clinic. Providers were randomly assigned from May 1998 through April 1999 to have access to the DMA (intervention) or not to have access (control). The DMA displays interactive patient-specific clinical data, treatment advice, and links to other web-based care resources. We compared patients in the intervention and control groups for changes in processes and outcomes of care from the year preceding the study through the year of the study by intention-to-treat analysis.
RESULTS: The DMA was used for 42% of scheduled patient visits. The number of HbA(1c) tests obtained per year increased significantly in the intervention group (+0.3 tests/year) compared with the control group (-0.04 tests/year, P = 0.008), as did the number of LDL cholesterol tests (intervention, +0.2 tests/year; control, +0.01 tests/year; P = 0.02) and the proportions of patients undergoing at least one foot examination per year (intervention, +9.8%; control, -0.7%; P = 0.003). Levels of HbA(1c) decreased by 0.2 in the intervention group and increased by 0.1 in the control group (P = 0.09); proportions of patients with LDL cholesterol levels <130 mg/dl increased by 20.3% in the intervention group and 10.5% in the control group (P = 0.5).
CONCLUSIONS: Web-based patient-specific decision support has the potential to improve evidence-based parameters of diabetes care.

Entities:  

Mesh:

Year:  2003        PMID: 12610033     DOI: 10.2337/diacare.26.3.750

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  73 in total

1.  A web-based diabetes intervention for physician: a cluster-randomized effectiveness trial.

Authors:  Carlos A Estrada; Monika M Safford; Amanda H Salanitro; Thomas K Houston; William Curry; Jessica H Williams; Fernando Ovalle; Yongin Kim; Pamela Foster; Jeroan J Allison
Journal:  Int J Qual Health Care       Date:  2011-08-10       Impact factor: 2.038

2.  Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

Authors:  Heather J Cole-Lewis; Arlene M Smaldone; Patricia R Davidson; Rita Kukafka; Jonathan N Tobin; Andrea Cassells; Elizabeth D Mynatt; George Hripcsak; Lena Mamykina
Journal:  Int J Med Inform       Date:  2015-08-08       Impact factor: 4.046

3.  Evaluating Diabetes Outcomes and Costs Within an Ambulatory Setting: A Strategic Approach Utilizing a Clinical Decision Support System.

Authors:  Victoria Oxendine; Albert Meyer; Paula V Reid; Ashley Adams; Valerie Sabol
Journal:  Clin Diabetes       Date:  2014-07

4.  Commentary--improving diabetes care by combating clinical inertia.

Authors:  Patrick J O'Connor
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

5.  Care quality and implementation of the chronic care model: a quantitative study.

Authors:  Leif I Solberg; A Lauren Crain; Joann M Sperl-Hillen; Mary C Hroscikoski; Karen I Engebretson; Patrick J O'Connor
Journal:  Ann Fam Med       Date:  2006 Jul-Aug       Impact factor: 5.166

Review 6.  Informatics systems to promote improved care for chronic illness: a literature review.

Authors:  David Dorr; Laura M Bonner; Amy N Cohen; Rebecca S Shoai; Ruth Perrin; Edmund Chaney; Alexander S Young
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

7.  Crossing the evidence chasm: building evidence bridges from process changes to clinical outcomes.

Authors:  David C Kendrick; Davis Bu; Eric Pan; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

8.  Comparative outcome studies of clinical decision support software: limitations to the practice of evidence-based system acquisition.

Authors:  Gaurav Jay Dhiman; Kyle T Amber; Kenneth W Goodman
Journal:  J Am Med Inform Assoc       Date:  2015-02-08       Impact factor: 4.497

9.  Standards of medical care in diabetes--2009.

Authors: 
Journal:  Diabetes Care       Date:  2009-01       Impact factor: 19.112

10.  Current status and future prospects for electronic point-of-care clinical decision support in diabetes care.

Authors:  Patrick J O'Connor; Jay R Desai; John C Butler; Elyse O Kharbanda; JoAnn M Sperl-Hillen
Journal:  Curr Diab Rep       Date:  2013-04       Impact factor: 4.810

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