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首页> 外文期刊>BMC Urology >Assembling and validating data from multiple sources to study care for Veterans with bladder cancer
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Assembling and validating data from multiple sources to study care for Veterans with bladder cancer

机译：收集并验证来自多个来源的数据，以研究患有膀胱癌的退伍军人的护理

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Background Despite the high prevalence of bladder cancer, research on optimal bladder cancer care is limited. One way to advance observational research on care is to use linked data from multiple sources. Such big data research can provide real-world details of care and outcomes across a large number of patients. We assembled and validated such data including (1) administrative data from the Department of Veterans Affairs (VA), (2) Medicare claims, (3) data ed by tumor registrars, (4) data ed via chart review from the national electronic health record, and (5) full text pathology reports. Methods Based on these combined data, we used administrative data to identify patients with newly diagnosed bladder cancer who received care in the VA. To validate these data, we first compared the diagnosis date from the administrative data to that from the tumor registry. Second, we measured accuracy of identifying bladder cancer care in VA administrative data, using a random chart review ( n =?100) as gold standard. Lastly, we compared the proportion of patients who received bladder cancer care among those who did versus did not have full text bladder pathology reports available, expecting that those with reports are significantly more likely to receive care in VA. Results Out of 26,675 patients, 11,323 (42%) had tumor registry data available. 90% of these patients had a difference of 90?days or less between the diagnosis dates from administrative and registry data. Among 100 patients selected for chart review, 59 received bladder cancer care in VA, 58 of which were correctly identified using administrative data (sensitivity 98%, specificity 90%). Receipt of bladder cancer care was substantially more common among those who did versus did not have bladder pathology available (96% vs. 43%, p Conclusion Merging administrative with electronic health record and pathology data offers new possibilities to validate the use of administrative data in bladder cancer research.
机译：背景技术尽管膀胱癌的患病率很高，但是关于最佳膀胱癌护理的研究仍然有限。进行有关护理的观察研究的一种方法是使用来自多个来源的链接数据。这样的大数据研究可以为大量患者提供现实的护理细节和结果。我们收集并验证了此类数据，包括（1）退伍军人事务部（VA）的行政数据，（2）Medicare索赔，（3）肿瘤登记员提供的数据，（4）通过国家电子卫生局的图表审查获得的数据记录，以及（5）全文病理报告。方法基于这些组合数据，我们使用行政数据来确定在VA中接受过护理的初诊膀胱癌患者。为了验证这些数据，我们首先将管理数据中的诊断日期与肿瘤登记中的诊断日期进行了比较。其次，我们使用随机对照表（n =？100）作为金标准，在VA行政数据中测量了确定膀胱癌护理的准确性。最后，我们比较了接受和未提供全文膀胱病理报告的患者中接受膀胱癌治疗的患者的比例，并希望那些报告了膀胱癌的患者明显更有可能接受弗吉尼亚州的治疗。结果在26,675名患者中，有11,323名（42％）具有可用的肿瘤登记数据。这些患者中有90％的诊断日期与行政和注册表数据相差90天或更短。在选择进行图表审查的100例患者中，有59例接受了弗吉尼亚州的膀胱癌治疗，其中58例已通过行政管理数据正确识别（敏感性98％，特异性90％）。在有膀胱病理检查和无膀胱病理检查的患者中，接受膀胱癌护理的情况更为普遍（96％对43％，p结论）将行政管理与电子健康记录和病理数据合并提供了新的可能性，可以验证是否使用了膀胱病理检查膀胱癌研究。

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