Journal Article

Child and youth chronic physical health conditions: a comparison of survey data and linked administrative health data in Ontario

Reid, Graham J., Golden, Grace, Wang, Li

2025

Overview

Background Population-based studies in Canada and the United States estimate chronic physical health conditions affect between 20 to 30% of children aged 0 to 17. Challenges in measuring chronic conditions include the use of inconsistent definitions and algorithms that capture a limited number of conditions. Thus, we developed a chronic health condition (CHC) algorithm using administrative data to determine whether a child has a CHC based on (1) the diagnosis recorded for the visit, (2) the number of visits, and (3) within a specific reference period. Methods Data were from the cross-sectional 2014 Ontario Child Health Study, linked with Ontario Health Insurance Plan (OHIP) administrative health data. Unweighted prevalence estimates and agreement analyses (Cohen’s Kappa, sensitivity, specificity) were used to compare the survey parent-reported and algorithm-based presence of a CHC. Results 31.8% and 27.1% of children and youth had a CHC based on administrative and survey data, respectively. Agreement between administrative and survey data was poor ( k  = 0.17). Among a few specific conditions, agreement varied depending on the type of condition (e.g., diabetes k  = 0.77 vs health conditions k  = 0.21). Conclusion We found considerable discrepancies between administrative and survey-reported data. The results highlight the importance of using algorithms developed from multiple datasets to examine complex research questions, such as the measurement of chronicity.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Administrative data / Adolescent / Algorithms / Alzheimer's disease / Breast cancer / Child / Child and youth / Child Health / Child, Preschool / Children / Children & youth / Chronic Disease - epidemiology / Chronic diseases / Chronic health condition / Chronic illnesses / Codes / Comparative analysis / Cross-Sectional Studies / Diabetes / Electronic health records / Families & family life / Female / Health aspects / Health Surveys / Humans / Infant / Infant, Newborn / Internal Medicine / Male / Medical diagnosis / Medical records / Medicine / Medicine & Public Health / Mental Health / Ontario - epidemiology / Ontario Health Insurance Plan / Pediatric research / Pediatrics / Physiological aspects / Prevalence / Questionnaires / Rheumatoid arthritis / Sociodemographics / Survey data / Surveys