ArticleJournal of the American Medical Informatics Association : JAMIA2020
A system uptake analysis and GUIDES checklist evaluation of the Electronic Asthma Management System: A point-of-care computerized clinical decision support system.
Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled it
- Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake.Implementation science : IS · 2022Pooled it
- Pooled it
- Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review.Annals of family medicinePooled it
- A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).Journal of the National Medical Association · 2026Review
- Implementation of an e-Tool (the Provider Asthma Assessment Form) Integrated Into the Electronic Medical Record in Primary Care: Mixed Methods Survey of Perceived Utility, Practitioner Satisfaction, Barriers and Enablers.JMIR formative research · 2026Article
- Asthma clinical decision support systems in primary care: an updated scoping review of implementation.NPJ primary care respiratory medicine · 2026Article
- Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Exploring Therapeutic Advances: A Comprehensive Review of Intestinal Microbiota Modulators.Antibiotics (Basel, Switzerland) · 2024Review
- Application of a user experience design approach for an EHR-based clinical decision support system.JAMIA open · 2024Article
- Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist.BMC medical informatics and decision making · 2023Article
- Primary care asthma surveillance: a review of knowledge translation tools and strategies for quality improvement.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Review
- The Application of Knowledge-Based Clinical Decision Support Systems to Enhance Adherence to Evidence-Based Medicine in Chronic Disease.Journal of healthcare engineering · 2023Review
- Human-centered design of clinical decision support for management of hypertension with chronic kidney disease.BMC medical informatics and decision making · 2022Article
- User Experience Design for Adoption of Asthma Clinical Decision Support Tools.Applied clinical informatics · 2022Article
- Artificial intelligence and the hunt for immunological disorders.Current opinion in allergy and clinical immunology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveComputerized clinical decision support systems (CCDSSs) promise improvements in care quality; however, uptake is often suboptimal. We sought to characterize system use, its predictors, and user feedback for the Electronic Asthma Management System (eAMS)-an electronic medical record system-integrated, point-of-care CCDSS for asthma-and applied the GUIDES checklist as a framework to identify areas for improvement. MATERIALS AND
methodsThe eAMS was tested in a 1-year prospective cohort study across 3 Ontario primary care sites. We recorded system usage by clinicians and patient characteristics through system logs and chart reviews. We created multivariable models to identify predictors of (1) CCDSS opening and (2) creation of a self-management asthma action plan (AAP) (final CCDSS step). Electronic questionnaires captured user feedback.
resultsOver 1 year, 490 asthma patients saw 121 clinicians. The CCDSS was opened in 205 of 1033 (19.8%) visits and an AAP created in 121 of 1033 (11.7%) visits. Multivariable predictors of opening the CCDSS and producing an AAP included clinic site, having physician-diagnosed asthma, and presenting with an asthma- or respiratory-related complaint. The system usability scale score was 66.3 ± 16.5 (maximum 100). Reported usage barriers included time and system accessibility. DISCUSSION: The eAMS was used in a minority of asthma patient visits. Varying workflows and cultures across clinics, physician beliefs regarding asthma diagnosis, and relevance of the clinical complaint influenced uptake.
conclusionsConsidering our findings in the context of the GUIDES checklist helped to identify improvements to drive uptake and provides lessons relevant to CCDSS design across diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.