Literature DB >> 31620984

Screening for health-related quality of life in children and adolescents: Optimal cut points for the KIDSCREEN-10 for epidemiological studies.

Gerrit Hirschfeld1, Ruth von Brachel2, Christian Thiele3.   

Abstract

INTRODUCTION: Generic measures of health-related quality of life are important in pediatrics. Here, we try to establish optimal cut points for the self-report and parental-report versions of the KIDSCREEN-10.
METHOD: We re-analyzed data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) study. In total, data from 2566 children, 2136 younger adolescents, and 2740 older adolescents were used. The KIDSCREEN-10 was contrasted to three different anchors: the strength and difficulties questionnaire, self-rated general health, and chronic diseases. A kernel-based method and bootstrapping were used to determine the optimal cut points and their variability.
RESULTS: We found large differences in HRQoL between children with vs. without mental health problems but there is only medium-to-small differences in HRQoL between children with vs. without chronic diseases and children with self-rated good vs. poor physical health. Acceptable levels of classification accuracy were found in relation to mental health problems for all versions (AUCs between 0.77 and 0.79), but only for the parental-report version in relation to general health and for no version in relation to chronic diseases. Cut points identified as optimal differed systematically between parental-report versions (cut point = 41.13) and self-report for younger (cut point = 42.52) and older adolescents (cut point = 40.29).
CONCLUSION: The results aid the interpretation of KIDSCREEN-10 in epidemiological studies. Specifically, we suggest a cut point of 41 should be used to interpret the parental-report version of the KIDSCREEN and 40 and 42, respectively, for young and older adolescents.

Entities:  

Keywords:  Diagnostic utility; Health-related quality of life; Optimal cut points, boostrapping

Mesh:

Year:  2019        PMID: 31620984     DOI: 10.1007/s11136-019-02324-4

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


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