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Validity of ascertainment of co-morbid illness using administrative databases: a systematic review

机译:使用行政数据库确定合并症的有效性:系统回顾

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Co-morbid illnesses have a major influence on the epidemiology of infectious diseases. Although International Classification of Diseases (ICD) discharge codes are frequently used to evaluate the presence of co-morbidities in observational research, additional research is required about their validity. We reviewed the evidence supporting the use of routinely coded administrative data for ascertainment of co-morbid diseases with emphasis as it relates to the study of infectious diseases. A systematic Medline, Embase, and bibliographic review were conducted in order to identify and critically appraise published (1990-2008) studies comparing administrative databases with conventional chart review. Twenty-one co-morbidities commonly associated with infectious diseases risk were a priori selected for specific evaluation. Of the 21 co-morbid conditions chosen, only 19 had adequate data available for evaluation. Thirteen studies were included; only one focused on an infectious disease population. Eleven articles validated individual co-morbid conditions data in electronic administrative databases and reported a wide range of pooled sensitivity (13-82%) but overall high pooled specificity (>97%) when compared with medical chart review. Seven articles compared Charlson Co-morbidity Index scores derived from administrative data algorithms as compared with that calculated from medical record review and found that administrative data underscored the index in all articles with kappa agreement ranging from 0.30 to 0.56. The small body of literature published to date suggests that electronic administrative databases have limited validity for co-morbidity evaluation. Studies evaluating administrative database ascertainment of co-morbidities specifically in infectious diseases research are needed.
机译:合并症对传染病的流行病学有重大影响。尽管在观察研究中经常使用国际疾病分类(ICD)排放代码来评估合并症的存在,但仍需要对其有效性进行其他研究。我们审查了支持使用常规编码的行政数据确定合并症的证据,重点是与传染病的研究有关。进行了系统的Medline,Embase和书目审查,目的是确定并严格评估出版的(1990-2008)研究,将行政数据库与常规图表审查进行比较。通常与传染病风险相关的二十一种合并症是优先选择的,用于进行特定评估。在选择的21种合并症中,只有19种有足够的数据可用于评估。包括十三项研究。只有一个人关注传染病人群。有11篇文章验证了电子管理数据库中的个别合并症条件数据,并报告了广泛的合并敏感性(13-82%),但与医学图表审查相比,总体特异性较高(> 97%)。七篇文章比较了行政数据算法得出的Charlson合并症指数得分与病历审查​​计算出的得分,发现行政数据在所有kappa协议范围从0.30到0.56的文章中都强调了该指数。迄今为止出版的少量文献表明,电子行政数据库对合并症评估的有效性有限。特别是在传染病研究中,需要评估评估行政数据库以确定合并症的研究。

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