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Identifying individuals with physician-diagnosed chronic obstructive pulmonary disease in primary care electronic medical records: a retrospective chart abstraction study

机译:在初级保健电子病历中鉴定具有医生诊断的慢性阻塞性肺疾病的患者:回顾性图表抽象研究

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摘要

Little is known about using electronic medical records to identify patients with chronic obstructive pulmonary disease to improve quality of care. Our objective was to develop electronic medical record algorithms that can accurately identify patients with obstructive pulmonary disease. A retrospective chart abstraction study was conducted on data from the Electronic Medical Record Administrative data Linked Database (EMRALD®) housed at the Institute for Clinical Evaluative Sciences. Abstracted charts provided the reference standard based on available physician-diagnoses, chronic obstructive pulmonary disease-specific medications, smoking history and pulmonary function testing. Chronic obstructive pulmonary disease electronic medical record algorithms using combinations of terminology in the cumulative patient profile (CPP; problem list/past medical history), physician billing codes (chronic bronchitis/emphysema/other chronic obstructive pulmonary disease), and prescriptions, were tested against the reference standard. Sensitivity, specificity, and positiveegative predictive values (PPV/NPV) were calculated. There were 364 patients with chronic obstructive pulmonary disease identified in a 5889 randomly sampled cohort aged ≥ 35 years (prevalence = 6.2%). The electronic medical record algorithm consisting of ≥ 3 physician billing codes for chronic obstructive pulmonary disease per year; documentation in the CPP; tiotropium prescription; or ipratropium (or its formulations) prescription and a chronic obstructive pulmonary disease billing code had sensitivity of 76.9% (95% CI:72.2–81.2), specificity of 99.7% (99.5–99.8), PPV of 93.6% (90.3–96.1), and NPV of 98.5% (98.1–98.8). Electronic medical record algorithms can accurately identify patients with chronic obstructive pulmonary disease in primary care records. They can be used to enable further studies in practice patterns and chronic obstructive pulmonary disease management in primary care.
机译:关于使用电子病历来识别患有慢性阻塞性肺疾病以提高护理质量的知之甚少。我们的目标是开发可以准确识别阻塞性肺疾病患者的电子病历算法。对来自临床评估科学研究所的电子病历管理数据链接数据库(EMRALD ®)中的数据进行了回顾性图表抽象研究。摘要图表基于可用的医生诊断,慢性阻塞性肺疾病特定药物,吸烟史和肺功能测试提供了参考标准。针对慢性阻塞性肺疾病电子病历算法,使用累积患者资料中的术语(CPP;问题列表/过去的病史),医生帐单代码(慢性支气管炎/肺气肿/其他慢性阻塞性肺疾病)和处方进行了组合测试参考标准。计算敏感性,特异性和阳性/阴性预测值(PPV / NPV)。在5889名年龄≥35岁的人群中,共有364例慢性阻塞性肺疾病患者被检出(患病率= 6.2%)。电子病历算法,每年由≥3位医生计费代码组成,用于慢性阻塞性肺疾病; CPP中的文档;噻托铵处方;或异丙托铵(或其制剂)处方和慢性阻塞性肺疾病帐单代码的敏感性为76.9%(95%CI:72.2-81.2),特异性为99.7%(99.5-99.8),PPV为93.6%(90.3-96.1) ,NPV为98.5%(98.1–98.8)。电子病历算法可以在初级保健记录中准确识别患有慢性阻塞性肺疾病的患者。它们可用于在初级保健中进一步研究实践模式和慢性阻塞性肺疾病管理。

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