Validation of Administrative Health Data for the Pediatric Population: a Scoping Review

Overview

Journal BMC Health Serv Res

Publisher Biomed Central

Specialty Health Services

Date 2014 Jun 3

PMID 24885035

Citations 15

Authors

Natalie J Shiff

Sadia Jama

Catherine Boden

Lisa M Lix

Affiliations

Soon will be listed here.

Abstract

Background: The purpose of this research was to perform a scoping review of published literature on the validity of administrative health data for ascertaining health conditions in the pediatric population (≤20 years).

Methods: A comprehensive search of OVID Medline (1946 - present), CINAHL (1937 - present) and EMBASE (1947 - present) was conducted. Characteristics of validation studies that were abstracted included the study population, health condition, topic of the validation (e.g., single diagnosis code versus case-finding algorithm), administrative and validation data sources. Inter-rater agreement was measured using Cohen's κ. Extracted data were analyzed using descriptive statistics.

Results: A total of 37 articles met the study inclusion criteria. Cohen's κ for study inclusion/exclusion and data abstraction was 0.88 and 0.97, respectively. Most studies validated administrative data from the USA (43.2%) and Canada (24.3%), and focused on inpatient records (67.6%). Case-finding algorithms (56.7%) were more frequently validated than diagnoses codes alone (37.8%). Five conditions were validated in more than one study: diabetes mellitus, inflammatory bowel disease, asthma, rotavirus infection, and tuberculosis.

Conclusions: This scoping review identified a number of gaps in the validation of administrative health data for pediatric populations, including limited investigation of outpatient populations and older pediatric age groups.

Citing Articles

Secondary use of routinely collected administrative health data for epidemiologic research: Answering research questions using data collected for a different purpose.

Emerson S, McLinden T, Sereda P, Yonkman A, Trigg J, Peterson S Int J Popul Data Sci. 2024; 9(1):2407.

PMID: 39620116 PMC: 11606632. DOI: 10.23889/ijpds.v9i1.2407.

Validating the recording of exacerbations of asthma in electronic health records: a systematic review protocol.

Moore E, Gassasse Z, Quint J BMJ Open. 2024; 14(11):e088849.

PMID: 39532362 PMC: 11575333. DOI: 10.1136/bmjopen-2024-088849.

The spectrum of co-existing disease in children with established kidney failure using registry and linked electronic health record data.

Plumb L, Steenkamp R, Hamilton A, Maxwell H, Inward C, Marks S Pediatr Nephrol. 2024; 39(12):3521-3531.

PMID: 39112637 PMC: 11511698. DOI: 10.1007/s00467-024-06470-x.

Estimating the completeness of physician billing claims for diabetes case ascertainment: a multiprovince investigation.

Ellison J, Gao Y, Hutchings K, Bartholomew S, Gardiner H, Yan L Health Promot Chronic Dis Prev Can. 2023; 43(12):511-521.

PMID: 38117476 PMC: 10824155. DOI: 10.24095/hpcdp.43.12.03.

Evaluation of administrative case definitions for hypertension in Canadian children.

Dart A, Singer A, Chanchlani R, Ferguson T, Tangri N, Zappitelli M Sci Rep. 2023; 13(1):7654.

PMID: 37169770 PMC: 10175274. DOI: 10.1038/s41598-023-33401-x.

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