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A systematic review of validated methods to capture acute bronchospasm using administrative or claims data
Sharifi, M., Krishanswami, S., & McPheeters, M. L. (2013). A systematic review of validated methods to capture acute bronchospasm using administrative or claims data. Vaccine, 31, K12-K20. https://doi.org/10.1016/j.vaccine.2013.06.091
Purpose: To identify and assess billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify acute bronchospasm in administrative and claims databases.
Methods: We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to bronchospasm, wheeze and acute asthma. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against predetermined inclusion criteria. Two reviewers independently extracted data regarding participant and algorithm characteristics.
Results: Our searches identified 677 citations of which 38 met our inclusion criteria. In these 38 studies, the most commonly used ICD-9 code was 493.x. Only 3 studies reported any validation methods for the identification of bronchospasm, wheeze or acute asthma in administrative and claims databases; all were among pediatric populations and only 2 offered any validation statistics. Some of the outcome definitions utilized were heterogeneous and included other disease based diagnoses, such as bronchiolitis and pneumonia, which are typically of an infectious etiology. One study offered the validation of algorithms utilizing Emergency Department triage chief complaint codes to diagnose acute asthma exacerbations with ICD-9 786.07 (wheezing) revealing the highest sensitivity (56%), specificity (97%), PPV (93.5%) and NPV (76%).
Conclusions: There is a paucity of studies reporting rigorous methods to validate algorithms for the identification of bronchospasm in administrative data. The scant validated data available are limited in their generalizability to broad-based populations. (C) 2013 Elsevier Ltd. All rights reserved.
