科研之友
微信
新浪微博
Facebook
分享链接
摘要
Purpose: To identify and assess billing, procedural, or diagnosis code, or pharmacy claims-based algorithms used to identify Bell%26apos;s palsy in administrative and claims databases. %26lt;br%26gt;Methods: We searched the MEDLINE database via PubMed from 1991 to September 2012 using controlled vocabulary and key terms related to Bell%26apos;s palsy. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria. Two reviewers independently extracted data regarding participant and algorithm characteristics and assessed a study%26apos;s methodologic rigor. %26lt;br%26gt;Results: One study identified Bell%26apos;s palsy using an algorithm that included ICD-9 code 351.x and H-ICDA code 350.x, and two other studies analyzed a dataset for ICD-9 code 351.0. The positive predictive values of these studies were 0.81 and 0.88, based on case adjudication of ICD-9 matches. Two further studies calculated incidence rates without validation of their methods, also including ICD-9 code 351.0. No study reported the sensitivity of algorithms to identify Bell%26apos;s palsy. %26lt;br%26gt;Conclusions: Few publications used rigorous methods to identify a validated algorithm that could identify cases of Bell%26apos;s palsy from an administrative database. The best evidence from two different datasets in the literature addressed in this review used ICD-9 code 351.0 or a collection of ICD-9 codes 351.x for facial nerve disorders including Bell%26apos;s palsy, along with other ICD-9 and H-ICDA codes for facial weakness. Each study had acceptable PPV, suggesting that ICD-9 based-algorithms have some utility in detecting Bell%26apos;s palsy cases.
- 出版日期2013-12-30
