A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data.

A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data.
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DOI:
10.1002/pds.2312
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发表时间:
2012-01
影响因子:
2.6
通讯作者:
Gurwitz, Jerry H.
Gurwitz, Jerry H.
中科院分区:
医学4区
文献类型:
--
作者:
Andrade, Susan E.;Harrold, Leslie R.;Tjia, Jennifer;Cutrona, Sarah L.;Saczynski, Jane S.;Dodd, Katherine S.;Goldberg, Robert J.;Gurwitz, Jerry H.

文献摘要

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使用管理和索赔数据对识别脑血管意外(CVA)或短暂性脑缺血发作(TIA)的算法的有效性进行系统性综述。对英文文献进行PubMed和爱荷华州药物信息服务(IDIS)检索,以识别1990年至2010年期间发表的研究,这些研究评价了用于识别管理数据中的CVA(缺血性和出血性卒中、颅内出血和蛛网膜下腔出血)和/或TIA的算法的有效性。两名研究者独立审查了摘要和文章,以根据预先规定的标准确定相关研究。共有35篇文章符合评价标准。其中,26篇文章提供了评价卒中有效性的数据,7篇报告了TIA的有效性,5篇报告了颅内出血(脑出血和蛛网膜下腔出血)的有效性,10项研究报告了识别卒中/TIA或脑血管疾病复合终点的算法的有效性。阳性预测值(PPV)根据具体结果和评估的算法而变化。发现用于评价卒中和颅内出血的特定算法具有较高的PPV(≥ 80%)。在成人人群中评价TIA的算法通常具有70%或更高的PPV。在已发表的文献中,使用管理和索赔数据识别CVA和TIA的算法和定义存在很大差异。所采用的算法的选择应取决于感兴趣的卒中亚型。
To perform a systematic review of the validity of algorithms for identifying cerebrovascular accidents (CVAs) or transient ischemic attacks (TIAs) using administrative and claims data. PubMed and Iowa Drug Information Service (IDIS) searches of the English language literature were performed to identify studies published between 1990 and 2010 that evaluated the validity of algorithms for identifying CVAs (ischemic and hemorrhagic strokes, intracranial hemorrhage and subarachnoid hemorrhage) and/or TIAs in administrative data. Two study investigators independently reviewed the abstracts and articles to determine relevant studies according to pre-specified criteria. A total of 35 articles met the criteria for evaluation. Of these, 26 articles provided data to evaluate the validity of stroke, 7 reported the validity of TIA, 5 reported the validity of intracranial bleeds (intracerebral hemorrhage and subarachnoid hemorrhage), and 10 studies reported the validity of algorithms to identify the composite endpoints of stroke/TIA or cerebrovascular disease. Positive predictive values (PPVs) varied depending on the specific outcomes and algorithms evaluated. Specific algorithms to evaluate the presence of stroke and intracranial bleeds were found to have high PPVs (80% or greater). Algorithms to evaluate TIAs in adult populations were generally found to have PPVs of 70% or greater. The algorithms and definitions to identify CVAs and TIAs using administrative and claims data differ greatly in the published literature. The choice of the algorithm employed should be determined by the stroke subtype of interest.
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