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

BMC Health Serv Res. 2014 May 22:14:236. doi: 10.1186/1472-6963-14-236.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adolescent
  • Child
  • Female
  • Health Status*
  • Humans
  • Infant
  • Male
  • Medical Records / standards*
  • Pediatrics*
  • Reproducibility of Results*
  • Young Adult