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    Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting.

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    Authors
    Gurwitz, Jerry H.
    Field, Terry S.
    Rochon, Paula A.
    Judge, James
    Harrold, Leslie R.
    Bell, Chaim M.
    Lee, Monica
    White, Kathleen
    LaPrino, Jane
    Erramuspe-Mainard, Janet
    DeFlorio, Martin
    Gavendo, Linda
    Baril, Joann L.
    Reed, George W.
    Bates, David W.
    Show allShow less
    UMass Chan Affiliations
    Department of Medicine, Division of Rheumatology
    Department of Medicine, Division of Preventive and Behavorial Medicine
    Department of Medicine, Division of Geriatric Medicine
    Meyers Primary Care Institute
    Document Type
    Journal Article
    Publication Date
    2008-12-01
    Keywords
    Adverse Drug Reaction Reporting Systems
    Aged, 80 and over
    Decision Support Techniques
    Female
    Humans
    Long-Term Care
    Male
    Medical Order Entry Systems
    Health Services Research
    Medicine and Health Sciences
    
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    Link to Full Text
    http://dx.doi.org/10.1111/j.1532-5415.2008.02004.x
    Abstract
    OBJECTIVES: To evaluate the efficacy of computerized provider order entry with clinical decision support for preventing adverse drug events in long-term care. DESIGN: Cluster-randomized controlled trial. SETTING: Two large long-term care facilities. PATIENTS: One thousand one hundred eighteen long-term care residents of 29 resident care units. INTERVENTION: The 29 resident care units, each with computerized provider order entry, were randomized to having a clinical decision support system (intervention units) or not (control units). MEASUREMENTS: The number of adverse drug events, severity of events, and whether the events were preventable. RESULTS: Within intervention units, 411 adverse drug events occurred over 3,803 resident-months of observation time; 152 (37.0%) were deemed preventable. Within control units, there were 340 adverse drug events over 3,257 resident-months of observation time; 126 (37.1%) were characterized as preventable. There were 10.8 adverse drug events per 100 resident-months and 4.0 preventable events per 100 resident-months on intervention units. There were 10.4 adverse drug events per 100 resident-months and 3.9 preventable events per 100 resident-months on control units. Comparing intervention and control units, the adjusted rate ratios were 1.06 (95% confidence interval (CI)=0.92-1.23) for all adverse drug events and 1.02 (95% CI=0.81-1.30) for preventable adverse drug events. CONCLUSION: Computerized provider order entry with decision support did not reduce the adverse drug event rate or preventable adverse drug event rate in the long-term care setting. Alert burden, limited scope of the alerts, and a need to more fully integrate clinical and laboratory information may have affected efficacy.
    Source
    J Am Geriatr Soc. 2008 Dec;56(12):2225-33.
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/36877
    PubMed ID
    19093922; 19093922
    Related Resources
    Link to article in PubMed
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    UMass Chan Faculty and Researcher Publications

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