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. 2014 May 22:14:236.
doi: 10.1186/1472-6963-14-236.

Validation of administrative health data for the pediatric population: a scoping review

Natalie J Shiff  1 , Sadia Jama, Catherine Boden, Lisa M Lix
Affiliations

Validation of administrative health data for the pediatric population: a scoping review

Natalie J Shiff et al. BMC Health Serv Res. .

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.

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Figure 1
Figure 1
Scoping review process. The final review included 37 articles. *reasons for exclusion are not mutually exclusive.
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References

    1. Virnig BA, McBean M. Administrative data for public health surveillance and planning. Annu Rev Public Health. 2001;14(1):213–230. doi: 10.1146/annurev.publhealth.22.1.213. - DOI - PubMed
    1. van Walraven C, Austin P. Administrative database research has unique characteristics that can risk biased results. J Clin Epidemiol. 2012;14(2):126–131. doi: 10.1016/j.jclinepi.2011.08.002. - DOI - PubMed
    1. Van Walraven C, Bennett C, Forster AJ. Administrative database research infrequently used validated diagnostic or procedural codes. J Clin Epidemiol. 2011;14(10):1054–1059. doi: 10.1016/j.jclinepi.2011.01.001. - DOI - PubMed
    1. Quach S, Blais C, Quan H. Administrative data have high variation in validity for recording heart failure. Can J Cardiol. 2010;14(8):306–312. doi: 10.1016/S0828-282X(10)70438-4. - DOI - PMC - PubMed
    1. Sharabiani MT, Aylin P, Bottle A. Systematic review of comorbidity indices for administrative data. Med Care. 2012;14(12):1109–1118. doi: 10.1097/MLR.0b013e31825f64d0. - DOI - PubMed

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