Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften Toetsvragen Web-tv Video Audio
Tips voor Mijn BSL
Inloggen
Top
Quality of Life Research
Gepubliceerd in:

16-10-2019

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

Auteurs: Gerrit Hirschfeld, Ruth von Brachel, Christian Thiele

Gepubliceerd in: Quality of Life Research | Uitgave 2/2020

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

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.
vorige artikel Self- and parent-reported Quality of Life 7 years after severe childhood traumatic brain injury in the Traumatisme Grave de l’Enfant cohort: associations with objective and subjective factors and outcomes
volgende artikel PROMIS Global Health item nonresponse: is it better to impute missing item responses before computing T-scores?
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
Guyatt, G. H., Feeny, D. H., & Patrick, D. L. (1993). Measuring health-related quality of life. Annals of Internal Medicine,118(8), 622–629.
2.
McGrath, P. J., Walco, G. A., Turk, D. C., Dworkin, R. H., Brown, M. T., Davidson, K., et al. (2008). Core outcome domains and measures for pediatric acute and chronic/recurrent pain clinical trials: PedIMMPACT recommendations. Journal of Pain,9(9), 771–783.
3.
Ravens-Sieberer, U., Erhart, M., Wille, N., Wetzel, R., Nickel, J., & Bullinger, M. (2006). Generic health-related quality-of-life assessment in children and adolescents. Pharmacoeconomics,24(12), 1199–1220.
4.
Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQLTM 4.0: Reliability and validity of the Pediatric Quality of Life InventoryTM Version 4.0 generic core scales in healthy and patient populations. Medical Care,39(8), 800–812.
5.
Simeoni, M. C., Auquier, P., Antoniotti, S., Sapin, C., & San Marco, J. L. (2000). Validation of a French health-related quality of life instrument for adolescents: The VSP-A. Quality of Life Research,9(4), 393–403.
6.
Solans, M., Pane, S., Estrada, M.-D., Serra-Sutton, V., Berra, S., Herdman, M., et al. (2008). Health-related quality of life measurement in children and adolescents: A systematic review of generic and disease-specific instruments. Value In Health,11(4), 742–764.
7.
Davis, E., Waters, E., Mackinnon, A., Reddihough, D., Graham, H. K., Mehmet-Radji, O., et al. (2006). Paediatric quality of life instruments: A review of the impact of the conceptual framework on outcomes. Developmental Medicine and Child Neurology,48(4), 311–318.
8.
Erhart M, Ravens-Sieberer U (2006) Health-related quality of life instruments and individual diagnosis—A new area of application. GMS Psycho-Social Medicine, 3. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2736504.
9.
Serra-Sutton, V., Ferrer, M., Rajmil, L., Tebé, C., Simeoni, M.-C., & Ravens-Sieberer, U. (2009). Population norms and cut-off-points for suboptimal health related quality of life in two generic measures for adolescents: The Spanish VSP-A and KINDL-R. Health and Quality of Life Outcomes,7(1), 35.
10.
Ravens-Sieberer, U., Herdman, M., Devine, J., Otto, C., Bullinger, M., Rose, M., et al. (2014). The European KIDSCREEN approach to measure quality of life and well-being in children: Development, current application, and future advances. Quality of Life Research,23(3), 791–803. https://​doi.​org/​10.​1007/​s11136-013-0428-3.
11.
Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Power, M., et al. (2008). The KIDSCREEN-52 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Value In Health,11(4), 645–658.
12.
Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., Bruil, J., et al. (2007). The KIDSCREEN-27 quality of life measure for children and adolescents: Psychometric results from a cross-cultural survey in 13 European countries. Quality of Life Research,16(8), 1347–1356. https://​doi.​org/​10.​1007/​s11136-007-9240-2.
13.
Ravens-Sieberer, U., Erhart, M., Rajmil, L., Herdman, M., Auquier, P., Bruil, J., et al. (2010). Reliability, construct and criterion validity of the KIDSCREEN-10 score: A short measure for children and adolescents’ well-being and health-related quality of life. Quality of Life Research,19(10), 1487–1500. https://​doi.​org/​10.​1007/​s11136-010-9706-5.
14.
Revicki, D., Hays, R. D., Cella, D., & Sloan, J. (2008). Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes. Journal of Clinical Epidemiology,61(2), 102–109.
15.
Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry,38(5), 581–586.
16.
17.
Hirschfeld, G., & do Brasil, P. E. A. A. (2014). A simulation study into the performance of “optimal” diagnostic thresholds in the population:“Large” effect sizes are not enough. Journal of Clinical Epidemiology,67(4), 449–453.
18.
Leeflang, M. M. G., Moons, K. G. M., Reitsma, J. B., & Zwinderman, A. H. (2008). Bias in sensitivity and specificity caused by data-driven selection of optimal cutoff values: Mechanisms, magnitude, and solutions. Clinical Chemistry,54(4), 729–737.
19.
Jacobson, N. S., & Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research.Journal of Consulting and Clinical Psychology,59(1), 12.
20.
Matos, M. G. D., Gaspar, T., & Simões, C. (2012). Health-related quality of life in Portuguese children and adolescents. Psicologia,25(2), 230–237.
21.
Robert Koch Institute, Department of Epidemiology and Health Monitoring (2015) The German Health Survey for Children and Adolescents (KiGGS Wave 1). Public Use File first version, RKI Robert Koch Institute Doi: 10.7797/15-200912-1-1-1.
22.
The KIDSCREEN Group Europe. (2006). The KIDSCREEN questionnaires—Quality of life questionnaires for children and adolescents. Handbook. Lengerich: Pabst Science Publisher.
23.
24.
Goodman, R., Ford, T., Simmons, H., Gatward, R., & Meltzer, H. (2000). Using the strengths and difficulties questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. The British Journal of Psychiatry,177, 534–539.
25.
Cox, B., Van Oyen, H., Cambois, E., Jagger, C., Le Roy, S., Robine, J.-M., et al. (2009). The reliability of the minimum European health module.International Journal of Public Health,54(2), 55–60.
26.
Breiman, L. (1996). Bagging predictors. Machine Learning,24, 123–140.
27.
Thiele C (2018) Cutpointr: Determine and evaluate optimal cutpoints in binary classification tasks. Retrieved from https://CRAN.R-project.org/package=cutpointr.
28.
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013).Applied logistic regression (Vol. 398). John Wiley & Sons.
29.
Hirschfeld, G. (2014). Clinically meaningful changes in pain ratings: why we need special cut points in children and adolescents. Pain Management,4(2), 81–83.
30.
Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). How young can children reliably and validly self-report their health-related quality of life?: An analysis of 8591 children across age subgroups with the PedsQLTM 4.0 Generic Core Scales. Health and Quality of Life Outcomes,5(1), 1. https://​doi.​org/​10.​1186/​1477-7525-5-1.
31.
von Baeyer, C. L. (2009). Children’s self-report of pain intensity: What we know, where we are headed. Pain Research & Management,14(1), 39–45.
32.
33.
Guyatt, G. H., Osoba, D., Wu, A. W., Wyrwich, K. W., Norman, G. R., et al. (2002). Methods to explain the clinical significance of health status measures. Mayo Clinic Proceedings,77(4), 371–383.
Metagegevens
Titel
Screening for health-related quality of life in children and adolescents: Optimal cut points for the KIDSCREEN-10 for epidemiological studies
Auteurs
Gerrit Hirschfeld
Ruth von Brachel
Christian Thiele
Publicatiedatum
16-10-2019
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 2/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-019-02324-4

Andere artikelen Uitgave 2/2020

Contribution of the self-regulation model to understanding the health related quality of life of rheumatoid arthritis patients

Development and clinimetric properties of the Dutch Breast Edema Questionnaire (BrEQ-Dutch version) to diagnose the presence of breast edema in breast cancer patients

Self- and parent-reported Quality of Life 7 years after severe childhood traumatic brain injury in the Traumatisme Grave de l’Enfant cohort: associations with objective and subjective factors and outcomes

Influence of Diabetes complications and limitations on health-related quality of life: a study in a southeastern Brazilian city

Effect of health literacy on quality of life among patients with chronic heart failure in China

Self-reported depression in cancer survivors versus the general population: a population-based propensity score-matching analysis