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The 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.

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Title: The 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.
Authors: Panagi, Laura (AUTHOR), White, Simon R. (AUTHOR), Patel, Sohum (AUTHOR), Bennett, Sophie (AUTHOR), Shafran, Roz (AUTHOR), Ford, Tamsin (AUTHOR)
Source: International Journal of Methods in Psychiatric Research. Dec2022, Vol. 31 Issue 4, p1-10. 10p. 5 Charts, 1 Graph.
Subjects: Cohen's kappa coefficient (Statistics), Young adults, Cohort analysis
Geographic Terms: United Kingdom
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The 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.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Methods+in+Psychiatric+Research%22">International Journal of Methods in Psychiatric Research</searchLink>. Dec2022, Vol. 31 Issue 4, p1-10. 10p. 5 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Cohen's+kappa+coefficient+%28Statistics%29%22">Cohen's kappa coefficient (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Young+adults%22">Young adults</searchLink><br /><searchLink fieldCode="DE" term="%22Cohort+analysis%22">Cohort analysis</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2022
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