Computerized Knowledge Management in Diabetes Care

Bibliographic Data

ID9101410
AuthorsE Andrew Balas (0000-0003-3535-8822, Saint Louis University, corresponding author), Santosh Krishna (Saint Louis University, corresponding author), Rainer A Kretschmer, R Kretschmer (0000-0002-5280-7362, University of Regensburg), Thomas R Cheek (University of Missouri), David F Lobach (0000-0001-6126-6441, Duke University), Suzanne Austin Boren (0000-0003-4727-399X, University of Missouri)
Year2004
Volume42
Issue6
Pages610-621
Publication date2004-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000128008.12117.f8
PMID15167329
OpenAlexW1971222247
LanguageEN
Citations received6
References cited49

INTRODUCTION: Many scientific achievements become part of usual diabetes care only after long delays. The purpose of this article is to identify the impact of automated information interventions on diabetes care and patient outcomes and to enable this knowledge to be incorporated into diabetes care practice. METHODS: We conducted systematic electronic and manual searches and identified reports of randomized clinical trials of computer-assisted interventions in diabetes care. Studies were grouped into 3 categories: computerized prompting of diabetes care, utilization of home glucose records in computer-assisted insulin dose adjustment, and computer-assisted diabetes patient education. RESULTS: Among 40 eligible studies, glycated hemoglobin and blood glucose levels were significantly improved in 7 and 6 trials, respectively. Significantly improved guideline compliance was reported in 6 of 8 computerized prompting studies. Three of 4 pocket-sized insulin dosage computers reduced hypoglycemic events and insulin doses. Metaanalysis of studies using home glucose records in insulin dose adjustment documented a mean decrease in glycated hemoglobin of.14 mmol/L (95% confidence interval [CI], 0.11-0.16) and a decrease in blood glucose of.33 mmol/L (95% CI, 0.28-0.39). Several computerized educational programs improved diet and metabolic indicators. DISCUSSION: Computerized knowledge management is becoming a vital component of quality diabetes care. Prompting follow-up procedures, computerized insulin therapy adjustment using home glucose records, remote feedback, and counseling have documented benefits in improving diabetes-related outcomes

Diabetes management · Diabetes mellitus · Glycated hemoglobin · Guideline · Insulin · Intensive care medicine · Psychological intervention · Randomized controlled trial · Type 2 diabetes · Diabetes Management and Education · Electronic Health Records Systems · Endocrinology · Internal Medicine · Medicine · Mobile Health and mHealth Applications · Nursing

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