Does a claims diagnosis of autism mean a true case?
Does a claims diagnosis of autism mean a true case?
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DOI：
10.1177/1362361312467709
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发表时间：
2014-04-01
期刊：
影响因子：
5.2
通讯作者：
Newschaffer, Craig J.
中科院分区：
文献类型：
--
作者：
Burke, James P.;Jain, Anjali;Newschaffer, Craig J.
本研究的目的是验证自闭症谱系障碍的情况下，通过索赔为基础的情况下识别算法对医疗图表的临床审查确定。对432名儿童的图表进行了审查，他们属于以下三个群体之一：（a）多于或等于两项具有自闭症谱系障碍诊断代码的索赔（n = 182），（B）一项具有自闭症谱系障碍诊断代码的索赔（n = 190），以及（c）那些没有声称患有自闭症谱系障碍但声称患有其他发育或神经系统疾病的人（n = 60）。基于算法的诊断与医疗图表中记录的自闭症谱系障碍进行了比较。需要多于或等于两个自闭症谱系障碍索赔的算法产生了87.4%的阳性预测值，这表明这种算法是在索赔数据中识别真正自闭症谱系障碍病例的有效手段。
The purpose of this study was to validate autism spectrum disorder cases identified through claims-based case identification algorithms against a clinical review of medical charts. Charts were reviewed for 432 children who fell into one of the three following groups: (a) more than or equal to two claims with an autism spectrum disorder diagnosis code (n = 182), (b) one claim with an autism spectrum disorder diagnosis code (n = 190), and (c) those who had no claims for autism spectrum disorder but had claims for other developmental or neurological conditions (n = 60). The algorithm-based diagnoses were compared with documented autism spectrum disorders in the medical charts. The algorithm requiring more than or equal to two claims for autism spectrum disorder generated a positive predictive value of 87.4%, which suggests that such an algorithm is a valid means to identify true autism spectrum disorder cases in claims data.