Open AccessThe importance of definitions in the measurement of long‐term health conditions in childhood. Variations in prevalence of long‐term health conditions in the UK using data from the Millennium Cohort Study, 2004–2015
Author(s) -
Panagi Laura,
White Simon R.,
Patel Sohum,
Bennett Sophie,
Shafran Roz,
Ford Tamsin
Publication year - 2022
Publication title -
international journal of methods in psychiatric research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.275
H-Index - 73
eISSN - 1557-0657
pISSN - 1049-8931
DOI - 10.1002/mpr.1926
Subject(s) - medicine , cohort , prevalence , kappa , demography , statistic , cohen's kappa , millennium cohort study (united states) , concordance , consistency (knowledge bases) , descriptive statistics , term (time) , cohort study , gerontology , pediatrics , statistics , environmental health , population , mathematics , physics , pathology , quantum mechanics , sociology , geometry
Objectives To explore the impact of various measurements of long‐term health conditions (LTCs) on the resulting prevalence estimates using data from a nationally representative dataset. Methods Children and young people in the Millennium Cohort Study were followed at ages 3, 5, 7, 11, and 14 years ( N = 15,631). We estimated the weighted prevalence of LTCs at each time point and examined the degree to which estimates agreed with alternate health indicators (special educational needs and disability [SEND], specific chronic conditions, and common chronicity criteria) using descriptive analyses, Cohen's kappa statistic, and percentage agreement. Results The estimated weighted prevalence of LTCs peaked at 5 years old (20%). Despite high percentage agreement, we observed at best moderate chance‐corrected agreement between the type of LTC and reasons for SEND (kappas from 0.02 to 0.56, percentage agreement from 97% to 99%) or specified chronic conditions (kappas from 0.002 to 0.02, percentage agreement from 73% to 97%). Applying chronicity criteria decreased the estimated weighted prevalence of LTCs (3%). Conclusion How long‐term conditions are defined drastically alters the estimated weighted prevalence of LTCs. Improved clarity and consistency in the definition and measurement of LTCs is urgently needed to underpin policy and commissioning of services.