• Login
    View Item 
    •   DSpace Home
    • School of Medicine
    • Journal Papers in Scopus 2
    • View Item
    •   DSpace Home
    • School of Medicine
    • Journal Papers in Scopus 2
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Effects of Computerized Decision Support Systems on Management of Atrial Fibrillation: A Scoping Review

    Thumbnail
    Date
    2017-06-01
    Author
    Reza Sheibani
    Ehsan Nabovati
    Mehdi Sheibani
    Ameen Abu-Hanna
    Alireza Heidari-Bakavoli
    Saeid Eslami
    Saeid Eslami
    Metadata
    Show full item record
    Abstract
    Background: Potential role of computerized decision support system on management of atrial fibrillation is not well understood. Objectives: To systematically review studies that evaluate the effects of computerized decision support systems and decision aids on aspects pertaining to atrial fibrillation. Data Sources: We searched Medline, Scopus and Cochrane database. Last date of search was 2016, January 10. Selection criteria: Computerized decision support systems that help manage atrial fibrillation and decision aids that provide useful knowledge for patients with atrial fibrillation and help them to self-care. Data collection and analysis: Two reviewers extracted data and summarized findings. Due to heterogeneity, meta-analysis was not feasible; mean differences of outcomes and confidence intervals for a difference between two Means were reported. Results: Seven eligible studies were included in the final review. There was one observational study without controls, three observational studies with controls, one Non-Randomized Controlled Trial and two Randomized Controlled Trials. The interventions were three decision aids that were used by patients and four computerized decision support systems. Main outcomes of studies were: stroke events and major bleeding (one article), Changing doctor-nurse behavior (three articles), Time in therapeutic International Normalized Ratio range ( one article), decision conflict scale (two articles), patient knowledge and anxiety about stroke and bleeding (two articles). Conclusions: A computerized decision support system may decrease decision conflict and increase knowledge of patients with atrial fibrillation (AF) about risks of AF and AF treatments. Effect of computerized decision support system on outcomes such as changing doctor-nurse behavior, anxiety about stroke and bleeding and stroke events could not be shown.We need more studies to evaluate the role of computerized decision support system in patients with atrial fibrillation.
    Collections
    • Journal Papers in Scopus 2

    Contact Us | Send Feedback
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Contact Us | Send Feedback