Accuracy of heart disease prevalence estimated from claims data compared with an electronic health record.

Accuracy of heart disease prevalence estimated from claims data compared with an electronic health record.
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与电子健康记录相比,根据索赔数据估算的心脏病患病率的准确性。

DOI:
10.5888/pcd9.120009
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发表时间:
2012
影响因子:
5.5
通讯作者:
Parker ED
Parker ED
中科院分区:
医学3区
文献类型:
--
作者:
Kottke TE;Baechler CJ;Parker ED

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我们开发了一个决策支持工具,可以指导心脏病预防项目的发展,将重点放在最有可能使人群受益的干预措施上。然而,要使用它,用户需要知道他们希望帮助的人群中心脏病的流行程度。我们试图确定从医疗保健索赔数据中估计心脏病患病率的准确性。我们对480名年龄在30岁及以上的患者(N = 474,089)进行了分层随机抽样,这些患者在2007年8月1日至2008年7月31日期间参加了HealthPartners保险,并拥有HealthPartners医疗集团的电子记录,我们比较了基于保险索赔的疾病患病率估计值与来自手工健康记录的估计值。我们将随机选择的开发和验证样本与2005年8月1日纳入的子样本(n = 272,348)进行比较。我们还比较了登记间隔超过31天的患者和未登记间隔超过31天的患者的记录,并比较了没有就诊、只有一次就诊、两次或两次以上就诊间隔超过31天的心脏病患者。当仅就诊一次的患者被认为患有心脏病时,在开发样本和验证样本中(Cohen 's κ, 0.92, 95%置信区间[CI], 0.87-0.97; Cohen 's κ, 0.94, 95% CI, 0.89-0.98),索赔数据和人工审查之间的一致性最好。在这一人群中,心脏病的患病率可以从索赔数据中以可接受的准确性估计出来。
We developed a decision support tool that can guide the development of heart disease prevention programs to focus on the interventions that have the most potential to benefit populations. To use it, however, users need to know the prevalence of heart disease in the population that they wish to help. We sought to determine the accuracy with which the prevalence of heart disease can be estimated from health care claims data. We compared estimates of disease prevalence based on insurance claims to estimates derived from manual health records in a stratified random sample of 480 patients aged 30 years or older who were enrolled at any time from August 1, 2007, through July 31, 2008 (N = 474,089) in HealthPartners insurance and had a HealthPartners Medical Group electronic record. We compared randomly selected development and validation samples to a subsample that was also enrolled on August 1, 2005 (n = 272,348). We also compared the records of patients who had a gap in enrollment of more than 31 days with those who did not, and compared patients who had no visits, only 1 visit, or 2 or more visits more than 31 days apart for heart disease. Agreement between claims data and manual review was best in both the development and the validation samples (Cohen’s κ, 0.92, 95% confidence interval [CI], 0.87–0.97; and Cohen’s κ, 0.94, 95% CI, 0.89–0.98, respectively) when patients with only 1 visit were considered to have heart disease. In this population, prevalence of heart disease can be estimated from claims data with acceptable accuracy.
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