首页> 外文期刊>The Canadian journal of cardiology >Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD).
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Validation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD).

机译:使用电子病历管理数据链接数据库(EMRALD)中的数据验证医师的帐单和住院数据,以识别患有缺血性心脏病的患者。

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BACKGROUND: Reporting of ischemic heart disease (IHD) prevalence in Canada has been based on self-report or patients presenting to hospital. However, IHD often presents and can be managed in the outpatient setting. OBJECTIVES: To determine whether the combination of hospital data and physician billings could accurately identify patients with IHD. METHODS: A random sample of 969 adult patients from the Electronic Medical Record Administrative data Linked Database (EMRALD) - an electronic medical record database of primary care physicians in Ontario linked to administrative data for the province of Ontario - was used. A number of combinations of physician billing and hospital discharge abstracts were tested to determine the accuracy of using administrative data to identify IHD patients. RESULTS: Two physician billings within a one-year period (with one of the billings by a specialist or a family physician in a hospital or emergency room setting) or a hospital discharge abstract gave a sensitivity of 77.0% (95% CI 68.2% to 85.9%), a specificity of 98.0% (95% CI 97.0% to 98.9%), a positive predictive value of 78.8% (95% CI 70.1% to 87.5%), a negative predictive value of 97.7% (95% CI 96.8% to 98.7%) and a kappa of 0.76 (95% CI 0.68 to 0.83). CONCLUSIONS: A combination of physician billing and hospital discharge abstracts can be used to identify patients with IHD. Population prevalence of IHD can be measured using administrative data.
机译:背景:加拿大的缺血性心脏病(IHD)患病率报告基于自我报告或就诊患者。但是,IHD经常出现并且可以在门诊病人环境中进行管理。目的:确定医院数据和医生账单的组合是否可以准确识别IHD患者。方法:使用电子病历管理数据链接数据库(EMRALD)(安大略省基层医疗医生的电子病历数据库,链接到安大略省的行政数据)中的969名成年患者的随机样本。测试了医生计费和医院出院摘要的多种组合,以确定使用管理数据识别IHD患者的准确性。结果:一年内两次开具医生帐单(其中一个是由专家或家庭医生在医院或急诊室设置的帐单)或出院摘要,其敏感性为77.0%(95%CI为68.2% 85.9%),特异性为98.0%(95%CI为97.0%至98.9%),阳性预测值为78.8%(95%CI为70.1%至87.5%),阴性预测值为97.7%(95%CI为96.8) %至98.7%)和kappa为0.76(95%CI 0.68至0.83)。结论:可以结合使用医生帐单和出院摘要来识别IHD患者。 IHD的人群患病率可以使用行政数据进行衡量。

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