Validation of adult asthma case definitions for primary care sentinel surveillance.

IF 2.6 4区 医学 Q2 ALLERGY Allergy Asthma and Clinical Immunology Pub Date : 2023-11-13 DOI:10.1186/s13223-023-00854-8
Max Moloney, Alison Morra, Rachael Morkem, John Queenan, Samir Gupta, Teresa To, Geneviève Digby, David Barber, M Diane Lougheed
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Abstract

Background: Most asthma diagnoses and patient care take place in primary care settings. Electronic medical records (EMRs) offer an opportunity to utilize technology to improve asthma diagnosis and care. The purpose of this study was to create and validate separate case definitions for suspected and confirmed asthma in primary care EMRs, to enable surveillance, benchmarking, and quality improvement in primary care settings. The objective of this study was to develop a case definition for suspected and confirmed asthma for use in a primary care sentinel surveillance system.

Methods: A single chart abstractor conducted a manual audit of 776 randomly selected patient charts from an academic primary care practice EMR in Kingston, Ontario. Following the single chart abstractor classification, a consensus on chart classification as "not asthma", "suspected asthma", or "confirmed asthma" was achieved between the abstractor, a family physician, and a respirologist using Canadian Thoracic Society (CTS) criteria. Case definition algorithms based on billing codes, clinical data elements and medications were applied to the site's Canadian Primary Care Sentinel Surveillance Network (CPCSSN) data for the same charts and compared to abstractor classifications to determine each algorithm's measurement properties.

Results: The prevalence of suspected and confirmed asthma were 7.3% (n = 54) and 2.4% (n = 18), respectively. None of the proposed case definitions could differentiate between suspected and confirmed asthma. One algorithm consisting of billing, clinical, and medication elements had the highest Youden's Index for either suspected or confirmed asthma. The algorithm had a sensitivity of 81%, a specificity of 96%, positive predictive value of 71%, negative predictive value of 98%, and a Youden's Index of 0.77 for combined suspected or confirmed asthma cases.

Conclusion: An EMR case definition for suspected or confirmed adult asthma has been validated for use in CPCSSN. Implementation of this case definition will enable the development of a surveillance electronic tool (eTool) for adult asthma that can foster quality improvement.

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初级保健哨点监测成人哮喘病例定义的验证。
背景:大多数哮喘诊断和患者护理发生在初级保健机构。电子病历(EMRs)提供了一个利用技术改善哮喘诊断和护理的机会。本研究的目的是创建和验证初级保健电子病历中疑似和确诊哮喘的单独病例定义,以便在初级保健机构中进行监测、基准制定和质量改进。本研究的目的是为疑似和确诊哮喘制定病例定义,用于初级保健哨点监测系统。方法:一名图表摘录者对安大略省金斯顿一家学术初级保健实践EMR中随机选择的776例患者图表进行了人工审计。按照单一的图表抽象者分类,按照加拿大胸科协会(CTS)的标准,在抽象者、家庭医生和呼吸科医生之间达成“非哮喘”、“疑似哮喘”或“确诊哮喘”的共识。将基于计费代码、临床数据元素和药物的病例定义算法应用于该站点的加拿大初级保健哨兵监测网络(cpcsn)的相同图表数据,并与抽象分类进行比较,以确定每种算法的测量属性。结果:疑似哮喘和确诊哮喘的患病率分别为7.3% (n = 54)和2.4% (n = 18)。所有提出的病例定义都不能区分疑似哮喘和确诊哮喘。一种由账单、临床和药物成分组成的算法对疑似或确诊哮喘的约登指数最高。该算法对合并疑似或确诊哮喘病例的敏感性为81%,特异性为96%,阳性预测值为71%,阴性预测值为98%,约登指数为0.77。结论:疑似或确诊成人哮喘的EMR病例定义已被验证用于cpcsn。实施这一病例定义将有助于开发成人哮喘监测电子工具(eTool),从而促进质量改进。
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来源期刊
CiteScore
4.30
自引率
3.70%
发文量
96
审稿时长
12 weeks
期刊介绍: Allergy, Asthma & Clinical Immunology (AACI), the official journal of the Canadian Society of Allergy and Clinical Immunology (CSACI), is an open access journal that encompasses all aspects of diagnosis, epidemiology, prevention and treatment of allergic and immunologic disease. By offering a high-visibility forum for new insights and discussions, AACI provides a platform for the dissemination of allergy and clinical immunology research and reviews amongst allergists, pulmonologists, immunologists and other physicians, healthcare workers, medical students and the public worldwide. AACI reports on basic research and clinically applied studies in the following areas and other related topics: asthma and occupational lung disease, rhinoconjunctivitis and rhinosinusitis, drug hypersensitivity, allergic skin diseases, urticaria and angioedema, venom hypersensitivity, anaphylaxis and food allergy, immunotherapy, immune modulators and biologics, immune deficiency and autoimmunity, T cell and B cell functions, regulatory T cells, natural killer cells, mast cell and eosinophil functions, complement abnormalities.
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