ArticleNPJ primary care respiratory medicine2023
The feasibility and impact of implementing a computer-guided consultation to target health inequality in Asthma.
Article in NPJ primary care respiratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 9 citations in OpenAlex.
- Asthma clinical decision support systems in primary care: an updated scoping review of implementation.NPJ primary care respiratory medicine · 2026Article
- A qualitative interview study to investigate opportunities for improvement in routine asthma care using a clinical decision support system.Scientific reports · 2025Article
- The feasibility of implementing clinical decision support system software in the outpatient assessment of breathlessness: Cardio-LungHealth and Everton in the Community.ERJ open research · 2025Article
- A 21-Practice Evaluation of an Asthma and COPD Quality Improvement Program.Journal of asthma and allergy · 2025Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Greater Manchester has a greater prevalence and worse asthma outcomes than the national average. This study aims to evaluate a digital approach to primary care asthma management and in particular the initial impact of implementing Clinical Decision Support System software in the form of a computer-guided consultation (CGC) in the setting of primary care asthma reviews in deprived areas of Greater Manchester. The CGC (LungHealth Ltd) is an intelligent decision support system ensuring accurate guideline-based staging of asthma and assessment of asthma control with the software subsequently prompting guideline-standard management. Patients on asthma registers in Greater Manchester Primary Care Networks were identified and underwent remote review by nursing staff using the CGC linked directly to the GP clinical system. Three-hundred thirty-eight patients (mean age 59 (SD 17) years; 60% Female) were reviewed. The CGC reported the patient's asthma control to be "Good" in 22%, "Partial" in 6% and "Poor" in 72%. ACT scores were significantly higher in those patients exhibiting "Good" and "Partial" control when compared to those with "Poor" control. The number of steroid courses and hospital admissions in the previous 12 months was significantly lower in those patients exhibiting "Good" and "Partial" control when compared to those with "Poor" control. Nineteen percent were found not to have a personalised asthma management plan during CGC review, which was alerted by the CGC and subsequently, all but 3 patients had this created on review completion (McNemar's test; p < 0.001). 5% were found not to have been prescribed regular inhaled steroid therapy resulting in the operator being alerted by the CGC in all cases. Overall, 44% underwent alteration in asthma therapy following the CGC review with 82% of these representing treatment escalation. An end-to-end digital service solution is feasible for Asthma within primary care and the utilisation of a CGC when conducting primary care asthma reviews increases implementation of guideline-level management thus addressing healthcare inequality while enabling identification of "high risk" asthma patients and guiding appropriate therapy escalation and de-escalation.
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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.