The feasibility and impact of implementing a computer-guided consultation to target health inequality in Asthma.

IF 3.1 3区 医学 Q1 PRIMARY HEALTH CARE NPJ Primary Care Respiratory Medicine Pub Date : 2023-02-07 DOI:10.1038/s41533-023-00329-8
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
{"title":"The feasibility and impact of implementing a computer-guided consultation to target health inequality in Asthma.","authors":"B Chakrabarti,&nbsp;B Kane,&nbsp;C Barrow,&nbsp;J Stonebanks,&nbsp;L Reed,&nbsp;M G Pearson,&nbsp;L Davies,&nbsp;M Osborne,&nbsp;P England,&nbsp;D Litchfield,&nbsp;E McKnight,&nbsp;R M Angus","doi":"10.1038/s41533-023-00329-8","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":19470,"journal":{"name":"NPJ Primary Care Respiratory Medicine","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903267/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Primary Care Respiratory Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41533-023-00329-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PRIMARY HEALTH CARE","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
实施计算机指导咨询以解决哮喘健康不平等问题的可行性和影响。
与全国平均水平相比,大曼彻斯特地区的哮喘患病率更高,结果也更糟。本研究旨在评估初级保健哮喘管理的数字化方法,特别是在大曼彻斯特贫困地区初级保健哮喘审查设置中以计算机指导咨询(CGC)形式实施临床决策支持系统软件的初步影响。CGC (LungHealth Ltd)是一个智能决策支持系统,可确保准确的基于指南的哮喘分期和哮喘控制评估,软件随后提示指南标准管理。在大曼彻斯特初级保健网络中,哮喘登记的患者被识别出来,并由护理人员使用直接连接到GP临床系统的CGC进行远程审查。338例患者(平均年龄59岁(SD 17)岁);60%为女性)。CGC报告患者哮喘控制为“良好”的占22%,“部分”的占6%,“差”的占72%。那些表现出“良好”和“部分”控制的患者的ACT分数明显高于那些表现出“不良”控制的患者。在过去的12个月里,那些表现出“良好”和“部分”控制的患者的类固醇疗程和住院次数明显低于那些表现出“不良”控制的患者。在CGC审查期间,19%的患者被发现没有个性化的哮喘管理计划,这是由CGC提醒的,随后,除了3名患者外,所有患者在审查完成时都创建了这一计划(McNemar的测试;p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
NPJ Primary Care Respiratory Medicine
NPJ Primary Care Respiratory Medicine PRIMARY HEALTH CARE-RESPIRATORY SYSTEM
CiteScore
5.50
自引率
6.50%
发文量
49
审稿时长
10 weeks
期刊介绍: npj Primary Care Respiratory Medicine is an open access, online-only, multidisciplinary journal dedicated to publishing high-quality research in all areas of the primary care management of respiratory and respiratory-related allergic diseases. Papers published by the journal represent important advances of significance to specialists within the fields of primary care and respiratory medicine. We are particularly interested in receiving papers in relation to the following aspects of respiratory medicine, respiratory-related allergic diseases and tobacco control: epidemiology prevention clinical care service delivery and organisation of healthcare (including implementation science) global health.
期刊最新文献
Breathlessness without borders: a call to action for global breathlessness research. Long COVID demographic and secondary care referral characteristics in primary care: analysis of anonymised primary care data from a multiethnic, deprived urban area in the UK. Clinical reasoning amongst paramedics using nebulised β₂ agonists to treat acute asthma exacerbations: a qualitative study. Uncovering patterns of inhaler technique and reliever use: the value of objective, personalized data from a digital inhaler. Improving allergy management and treatment: a proposed algorithm and curriculum for prescribing allergen immunotherapy in the primary care setting.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1