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Computer decision support systems for asthma: a systematic review.

Patricia Matui1, Jeremy C Wyatt2, Hilary Pinnock1

  • 1Allergy and Respiratory Research and eHealth Research Groups, Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.

NPJ Primary Care Respiratory Medicine
|May 21, 2014
PubMed
Summary
This summary is machine-generated.

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Computer decision support systems (CDSSs) for asthma management are rarely used and their advice is often not followed, limiting patient outcome improvements. Future systems require better workflow integration for effective clinical decision support.

Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • Respiratory Medicine

Background:

  • Electronic health records (EHRs) enable integration of computer decision support systems (CDSSs).
  • CDSSs aim to prompt evidence-based actions during routine consultations.
  • The potential of CDSSs in healthcare is significant but requires robust evidence.

Purpose of the Study:

  • To systematically synthesize evidence on the efficacy of CDSSs for healthcare professionals managing asthma patients.
  • To evaluate the impact of CDSSs on clinical practice and patient outcomes in asthma care.

Main Methods:

  • Systematic literature search across multiple databases (Medline, Embase, etc.) from 1990 to April 2012.
  • Inclusion of randomized controlled trials (RCTs) evaluating CDSSs for professional asthma management.

Related Experiment Videos

  • Appraisal of study bias using the Cochrane Risk of Bias Tool and narrative synthesis of findings.

    • Main Results:

    • Eight eligible trials were identified from 5787 screened articles; six had a high risk of bias.
    • Overall, CDSSs for professionals demonstrated ineffectiveness in improving asthma outcomes.
    • Low system usage and poor compliance with CDSS recommendations were consistently observed, though potential for guideline adherence exists.

    Conclusions:

    • Current CDSSs are unlikely to improve asthma patient outcomes due to low adoption and adherence.
    • Future CDSS development must prioritize seamless integration into professional workflows for timely and accessible clinical guidance.
    • Enhanced usability and relevance are crucial for effective decision support in asthma management.