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Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities
Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities
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Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities
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Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities
Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities
Journal Article

Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities

2019
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Overview
Purpose To systematically assess patterns and temporal changes in the measurement and valuation of childhood health utilities and associations between methodological factors. Methods Studies reporting childhood health utilities using direct or indirect valuation methods, published by June 2017, were identified through PubMed, Embase, Web of Science, PsycINFO, EconLit, CINAHL, Cochrane Library and PEDE. The following were explored: patterns in tariff application; linear trends in numbers of studies/samples and paediatric cost–utility analyses (CUAs) and associations between them; changes in proportions of studies/samples within characteristic-based categories over pre-specified periods; impact of National Institute for Health and Care Excellence (NICE) guidance on primary UK research and associations between valuation method, age and methodological factors. Results 335 studies with 3974 samples covering all ICD-10 chapters, 23 valuation methods, 12 respondent types and 42 countries were identified by systematic review. 34.0% of samples using indirect methods compatible with childhood applied childhood-derived tariffs. There was no association between numbers of studies/samples and numbers of CUAs. Compared to 1990–2008, 2009–June 2017 saw a significant fall in the proportion of studies using case series; significant compositional changes across ICD-10 chapters and significantly higher sample proportions using childhood-specific and adult-specific indirect valuation methods, and based on pre-adolescents, self-assessment, self-administration and experienced health states. NICE guidance was weakly effective in promoting reference methods. Associations between valuation method, age and methodological factors were significant. Conclusion 1990–2017 witnessed significant changes in primary research on childhood health utilities. Health technology assessment agencies should note the equivocal effect of methodological guidance on primary research.

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