A diagnostic codes-based algorithm improves accuracy for identification of childhood asthma in archival data sets.
J Asthma
; 58(8): 1077-1086, 2021 08.
Article
in En
| MEDLINE
| ID: mdl-32315558
ABSTRACT
OBJECTIVE:
While a single but truncated ICD code (493) had been widely used for identifying asthma in asthma care and research, it significantly under-identifies asthma. We aimed to develop and validate a diagnostic codes-based algorithm for identifying asthmatics using Predetermined Asthma Criteria (PAC) as the reference.METHODS:
This is a retrospective cross-sectional study which utilized two different coding systems, the Hospital Adaptation of the International Classification of Diseases, Eighth Revision (H-ICDA) and the International Classification of Diseases, Ninth Revision (ICD-9). The algorithm was developed using two population-based asthma study cohorts, and validated in a validation cohort, a random sample of the 1976-2007 Olmsted County Birth Cohort. Performance of the diagnostic codes-based algorithm for ascertaining asthma status against manual chart review for PAC (gold standard) was assessed by determining both criterion and construct validity.RESULTS:
Among eligible 267 subjects of the validation cohort, 50% were male, 70% white, and the median age at last follow-up was 17 (interquartile range, 8.7-24.4) years. Asthma prevalence by PAC through manual chart review was 34%. Sensitivity and specificity of the codes-based algorithm for identifying asthma were 82% and 98% respectively. Associations of asthma-related risk factors with asthma status ascertained by the code-based algorithm were similar to those by the manual review.CONCLUSIONS:
The diagnostic codes-based algorithm for identifying asthmatics improves accuracy of identification of asthma and can be a useful tool for large scale studies in a setting without automated chart review capabilities.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Asthma
/
Algorithms
Type of study:
Diagnostic_studies
/
Guideline
/
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Adolescent
/
Adult
/
Child
/
Female
/
Humans
/
Male
Language:
En
Journal:
J Asthma
Year:
2021
Type:
Article
Affiliation country:
United States