SynthesisNPJ primary care respiratory medicine2014
Computer decision support systems for asthma: a systematic review.
Synthesis in NPJ primary care respiratory medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
An Open Feasibility Study to Investigate the Impact of A Digitally Delivered Asthma Service for Patients in Primary Care (IDEAL-001: Integrated Digitally EnhAnced Care for Long-term Conditions-001
Health-circuit Evaluation as a Digital Support for the Management of Patients at Risk of Hospitalization
Evaluation of Exercise Induced Bronchoconstriction by Field Test Using Lung Function and a Novel Automated Digital Clinical Decision System
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of electronic alerts in primary care computer systems to identify the excessive prescription of short-acting betaNPJ primary care respiratory medicine · 2018Pooled it
- Pulmonary specialist health coach consultation model: a randomized controlled trial.Annals of the American Thoracic Society · 2026Trial
- Computerized clinical decision support system for diabetes in primary care does not improve quality of care: a cluster-randomized controlled trial.Implementation science : IS · 2020 · on this mapTrial
- 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
- Asthma clinical decision support systems in primary care: an updated scoping review of implementation.NPJ primary care respiratory medicine · 2026Article
- Characteristics of Adult Severe Uncontrolled Asthma Patients in Primary Care and Modifications in Prescribed Inhalation Treatments.Journal of asthma and allergy · 2026Article
- A qualitative interview study to investigate opportunities for improvement in routine asthma care using a clinical decision support system.Scientific reports · 2025Article
- External validation and update of the pediatric asthma risk score as a passive digital marker for childhood asthma using integrated electronic health records.EClinicalMedicine · 2025Article
- Development of a Clinical Decision Support Tool to Implement Asthma Management Guidelines in Pediatric Primary Care: Qualitative Study.JMIR formative research · 2025Article
- Health system characteristics and evidence-based asthma care.Frontiers in allergy · 2025Article
- Deploying an asthma dashboard to support quality improvement across a nationally representative sentinel network of 7.6 million people in England.NPJ primary care respiratory medicine · 2024Article
- Application of a user experience design approach for an EHR-based clinical decision support system.JAMIA open · 2024Article
- Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost.Diagnostics (Basel, Switzerland) · 2023Article
- Computer-Assisted Clinical Diagnosis and Treatment.Current allergy and asthma reports · 2023Review
- The feasibility and impact of implementing a computer-guided consultation to target health inequality in Asthma.NPJ primary care respiratory medicine · 2023Article
- Patient views on asthma diagnosis and how a clinical decision support system could help: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- Online Survey to Investigate Asthma Medication Prescription and Adherence from the Perspective of Patients and Healthcare Practitioners in England.Journal of asthma and allergy · 2023Article
- User Experience Design for Adoption of Asthma Clinical Decision Support Tools.Applied clinical informatics · 2022Article
- ERS/EAACI statement on adherence to international adult asthma guidelines.European respiratory review : an official journal of the European Respiratory Society · 2021Article
- Improving primary care management of asthma: do we know what really works?NPJ primary care respiratory medicine · 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
5 authors.
Funding
Abstract
backgroundIncreasing use of electronic health records offers the potential to incorporate computer decision support systems (CDSSs) to prompt evidence-based actions within routine consultations.
aimTo synthesise the evidence for the use of CDSSs by professionals managing people with asthma. MATERIALS AND
methodsWe systematically searched Medline, Embase, Health Technology Assessment, Cochrane and Inspec databases (1990 to April 2012, no language restrictions) for trials, and four online repositories for unpublished studies. We also wrote to authors. Eligible studies were randomised controlled trials of CDSSs supporting professional management of asthma. Studies were appraised (Cochrane Risk of Bias Tool) and findings synthesised narratively.
resultsA total of 5787 articles were screened, and eight trials were found eligible, with six at high risk of bias. Overall, CDSSs for professionals were ineffective. Usage of the systems was generally low: in the only trial at low risk of bias the CDSS was not used at all. When a CDSS was used, compliance with the advice offered was also low. However, if actually used, CDSSs could result in closer guideline adherence (improve investigating, prescribing and issuing of action plans) and could improve some clinical outcomes. The study at moderate risk of bias showed increased prescribing of inhaled steroids.
conclusionsThe current generation of CDSSs is unlikely to result in improvements in outcomes for patients with asthma because they are rarely used and the advice is not followed. Future decision support systems need to align better with professional workflows so that pertinent and timely advice is easily accessible within the consultation.
Indexed as
Identifiers
What OpenQuestion holds
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.