Identifying Pediatric Diabetes Cases from Health Administrative Data: A Population-Based Validation Study in Quebec, Canada [Corrigendum]

Bibliographic Details
Title: Identifying Pediatric Diabetes Cases from Health Administrative Data: A Population-Based Validation Study in Quebec, Canada [Corrigendum]
Authors: Nakhla M, Simard M, Dube M, Larocque I, Plante C, Legault L, Huot C, Gagné N, Gagné J, Wafa S, Benchimol EI, Rahme E
Source: Clinical Epidemiology, Vol Volume 14, Pp 767-768 (2022)
Publisher Information: Dove Medical Press, 2022.
Publication Year: 2022
Collection: LCC:Infectious and parasitic diseases
Subject Terms: pediatric, validation, health administrative data, diabetes, Infectious and parasitic diseases, RC109-216
More Details: Nakhla M, Simard M, Dube M, et al. Clin Epidemiol. 2019;11:833–843. The authors have advised there is an error in the diagnostic codes used to validate the cases of diabetes. The code “251.X” was never included in the validation algorithm and was erroneously included in the list of ICD-9 codes in the final revision phase of the manuscript. The authors apologize for this error. Page 835, Diagnostic accuracy section, second sentence, the text “We determined the diagnostic accuracy (sensitivity, specificity, PPV, NPV) of a variety of algorithms, using combinations of physician billings and hospital admissions over 1 or 2 years bearing a diagnosis code of diabetes mellitus (ICD-9 250.X, 251.X; ICD-10 E10.X-14. X)” should read “We determined the diagnostic accuracy (sensitivity, specificity, PPV, NPV) of a variety of algorithms, using combinations of physician billings and hospital admissions over 1 or 2 years bearing a diagnosis code of diabetes mellitus (ICD-9 250.X; ICD-10 E10.X-14. X)”. Read the original article
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1179-1349
Relation: https://www.dovepress.com/corrigendum-identifying-pediatric-diabetes-cases-from-health-administr-peer-reviewed-fulltext-article-CLEP; https://doaj.org/toc/1179-1349
Access URL: https://doaj.org/article/26f962c432764623ad7112e9b750b7e8
Accession Number: edsdoj.26f962c432764623ad7112e9b750b7e8
Database: Directory of Open Access Journals
More Details
ISSN:11791349
Published in:Clinical Epidemiology
Language:English