Autor: |
B. Chakrabarti, B. Kane, C. Barrow, J. Stonebanks, L. Reed, M. G. Pearson, L. Davies, M. Osborne, P. England, D. Litchfield, E. McKnight, R. M. Angus |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
npj Primary Care Respiratory Medicine, Vol 33, Iss 1, Pp 1-7 (2023) |
Druh dokumentu: |
article |
ISSN: |
2055-1010 |
DOI: |
10.1038/s41533-023-00329-8 |
Popis: |
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 |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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