使用肺活量测定专家系统来支持全科医生对COPD的诊断有什么好处吗?

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摘要

本研究评估了计算机肺活量测量解释专家支持对全科医生诊断成果的影响,以及对全科医生诊断慢性呼吸道疾病决策的影响。在78名全科医生中进行了一项集群随机对照试验,他们每人完成了10份标准化的纸质病例描述。干预包括通过专家系统(专家支持组)或假信息(对照组)支持全科医生的肺活量测量解释。将全科医生诊断的一致性与专家小组的判断进行比较,并将其作为主要结局。次要结果是:额外的诊断测试率;鉴别诊断宽度;诊断的确定性;估计疾病严重程度;转诊率;药物治疗或非药物治疗都会改变。效果以95%置信区间(ci)的优势比(ORs)表示。专家支持组和对照组在全科医生和专家小组诊断慢性阻塞性肺病(OR (95% CI) 1.08(0.70-1.66))、哮喘(1.13(0.70-1.80))和无呼吸系统疾病(1.32(0.61-2.86))的一致性方面没有差异。在专家支持组中观察到更高的附加诊断测试率(2.5(1.17-5.35))。计算机化肺活量测定专家支持对全科医生诊断慢性呼吸系统疾病的成就和决策过程没有可检测到的益处。经欧洲呼吸学会期刊有限公司许可转载。
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Is there any benefit to using a spirometry expert system to support GPs’ diagnosis of COPD?

The present study assessed the impact of computerised spirometry interpretation expert support on the diagnostic achievements of general practitioners (GPs), and on GPs’ decision making in diagnosing chronic respiratory disease. A cluster-randomised controlled trial was performed in 78 GPs who each completed 10 standardised paper case descriptions. Intervention consisted of support for GPs’ spirometry interpretation either by an expert system (expert support group) or by sham information (control group). Agreement of GPs’ diagnoses was compared with an expert panel judgement, which served as the primary outcome. Secondary outcomes were: additional diagnostic test rates; width of differential diagnosis; certainty of diagnosis; estimated severity of disease; referral rate; and medication or nonmedication changes. Effects were expressed as odds ratios (ORs) with 95% confidence intervals (CIs). There were no differences between the expert support and control groups in the agreement between GPs and expert panel diagnosis of chronic obstructive pulmonary disease (OR (95% CI) 1.08 (0.70–1.66)), asthma (1.13 (0.70–1.80)), and absence of respiratory disease (1.32 (0.61–2.86)). A higher rate of additional diagnostic tests was observed in the expert support group (2.5 (1.17–5.35)). Computerised spirometry expert support had no detectable benefit on general practitioners’ diagnostic achievements and the decision-making process when diagnosing chronic respiratory disease.

Reproduced with permission from European Respiratory Society Journals Ltd.

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