A systematic review of validated methods for identifying Bell's palsy using administrative or claims data: Active Surveillance of Vaccine Safety in the US Food and Drug Administration's Mini-Sentinel Program: Identification of Exposures and Outcomes

Christopher D Lee; Ryan M Carnahan; Melissa L Mcpheeters

doi:10.1016/j.vaccine.2013.04.040

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A systematic review of validated methods for identifying Bell's palsy using administrative or claims data: Active Surveillance of Vaccine Safety in the US Food and Drug Administration's Mini-Sentinel Program: Identification of Exposures and Outcomes

Journal article

Peer reviewed

A systematic review of validated methods for identifying Bell's palsy using administrative or claims data: Active Surveillance of Vaccine Safety in the US Food and Drug Administration's Mini-Sentinel Program: Identification of Exposures and Outcomes

Christopher D Lee, Ryan M Carnahan and Melissa L Mcpheeters

Vaccine, Vol.31(Suppl 10), pp.K7-K11

2013

DOI: 10.1016/j.vaccine.2013.04.040

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Abstract

Purpose To identify and assess billing, procedural, or diagnosis code, or pharmacy claims-based algorithms used to identify Bell's palsy in administrative and claims databases. Methods We searched the MEDLINE database via PubMed from 1991 to September 2012 using controlled vocabulary and key terms related to Bell'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's methodologic rigor. Results One study identified Bell'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's palsy. Conclusions Few publications used rigorous methods to identify a validated algorithm that could identify cases of Bell'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'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's palsy cases.

Microbiology

Applied microbiology

Biological and medical sciences

Fundamental and applied biological sciences. Psychology

Vaccines, antisera, therapeutical immunoglobulins and monoclonal antibodies (general aspects)

Details

Title: Subtitle: A systematic review of validated methods for identifying Bell's palsy using administrative or claims data: Active Surveillance of Vaccine Safety in the US Food and Drug Administration's Mini-Sentinel Program: Identification of Exposures and Outcomes
Creators: Christopher D Lee - Department of Neurology, Vanderbilt University Medical Center, United States
Ryan M Carnahan - Department of Epidemiology, University of Iowa College of Public Health, S437 CPHB University of Iowa, 105 River Street, Iowa City, IA 52242, United States
Melissa L Mcpheeters - Vanderbilt Evidence-based Practice Center; Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Suite 600, 2525 West End Avenue, Nashville, TN 37203-1738, United States
Resource Type: Journal article
Publication Details: Vaccine, Vol.31(Suppl 10), pp.K7-K11
DOI: 10.1016/j.vaccine.2013.04.040
ISSN: 0264-410X
eISSN: 1873-2518
Publisher: Elsevier
Language: English
Date published: 2013
Academic Unit: Epidemiology; Nursing; Injury Prevention Research Center
Record Identifier: 9984214714702771

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