A short scale to measure health-related quality of life after traumatic brain injury in children and adolescents (QOLIBRI-OS-KID/ADO): psychometric properties and German reference values.
Health-related quality of life (HRQoL)
Patient-reported outcome measure (PROM)
Pediatric traumatic brain injury (pTBI)
Reference values
Journal
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
ISSN: 1573-2649
Titre abrégé: Qual Life Res
Pays: Netherlands
ID NLM: 9210257
Informations de publication
Date de publication:
31 Aug 2024
31 Aug 2024
Historique:
accepted:
16
08
2024
medline:
1
9
2024
pubmed:
1
9
2024
entrez:
31
8
2024
Statut:
aheadofprint
Résumé
The impact of pediatric traumatic brain injury (pTBI) on health-related quality of life (HRQoL) in children and adolescents remains understudied. Short scales have some advantages in terms of economy and administration over longer scales, especially in younger children. The aim of the present study is to psychometrically evaluate the six-item German version of the QOLIBRI-OS-KID/ADO scale for children and adolescents. In addition, reference values from a general German pediatric population are obtained to assist clinicians and researchers in the interpretation of HRQoL after pTBI. A total of 297 individuals after TBI and 1997 from a general population sample completed the questionnaire. Reliability, validity, and comparability of the assessed construct were examined. The questionnaire showed satisfactory reliability (α = 0.75 and ω = 0.81 and α = 0.85 and ω = 0.86 for the TBI and general population samples, respectively). The QOLIBRI-OS-KID/ADO was highly correlated with its long version (R In combination with the cut-offs, the QOLIBRI-OS-KID/ADO provides a cost-effective screening tool, complemented by interpretation guidelines, which may help to draw clinical conclusions and indications such as further administration of a longer version of the instrument to gain more detailed insight into impaired HRQoL domains or omission of further steps in the absence of an indication.
Identifiants
pubmed: 39215856
doi: 10.1007/s11136-024-03764-3
pii: 10.1007/s11136-024-03764-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Deutsche Gesetzliche Unfallversicherung
ID : FR282
Informations de copyright
© 2024. The Author(s).
Références
Araki, T., Yokota, H., & Morita, A. (2017). Pediatric traumatic brain injury: Characteristic features, diagnosis, and management. Neurologia Medico-Chirurgica (Tokyo), 57, 82–93. https://doi.org/10.2176/nmc.ra.2016-0191
doi: 10.2176/nmc.ra.2016-0191
Babikian, T., Merkley, T., Savage, R. C., et al. (2015). Chronic aspects of pediatric traumatic brain injury: Review of the literature. Journal of Neurotrauma, 32, 1849–1860. https://doi.org/10.1089/neu.2015.3971
doi: 10.1089/neu.2015.3971
pubmed: 26414654
Stancin, T., Drotar, D., Taylor, H. G., et al. (2002). Health-related quality of life of children and adolescents after traumatic brain injury. Pediatrics, 109, E34. https://doi.org/10.1542/peds.109.2.e34
doi: 10.1542/peds.109.2.e34
pubmed: 11826244
Wilde, E. A., Whiteneck, G. G., Bogner, J., et al. (2010). Recommendations for the use of common outcome measures in traumatic brain injury research. Archives of Physical Medicine and Rehabilitation, 91, 1650–1660.e17. https://doi.org/10.1016/j.apmr.2010.06.033
doi: 10.1016/j.apmr.2010.06.033
pubmed: 21044708
Wiebe, S., Guyatt, G., Weaver, B., et al. (2003). Comparative responsiveness of generic and specific quality-of-life instruments. Journal of Clinical Epidemiology, 56, 52–60. https://doi.org/10.1016/s0895-4356(02)00537-1
doi: 10.1016/s0895-4356(02)00537-1
pubmed: 12589870
von Steinbuechel, N., Covic, A., Polinder, S., et al. (2016). Assessment of health-related quality of life after TBI: Comparison of a disease-specific (QOLIBRI) with a generic (SF-36) instrument. Behavioural Neurology, 2016, 1–14. https://doi.org/10.1155/2016/7928014
doi: 10.1155/2016/7928014
Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the pediatric quality of life inventory. Medical Care, 37, 126–139. https://doi.org/10.1097/00005650-199902000-00003
doi: 10.1097/00005650-199902000-00003
pubmed: 10024117
Cohen, M. L., Tulsky, D. S., Boulton, A. J., et al. (2019). Reliability and construct validity of the TBI-QOL communication short form as a parent-proxy report instrument for children with traumatic brain injury. Journal of Speech, Language, and Hearing Research, 62, 84–92. https://doi.org/10.1044/2018_JSLHR-L-18-0074
doi: 10.1044/2018_JSLHR-L-18-0074
pubmed: 30950756
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 8,591 children across age subgroups with the PedsQLTM 4.0 generic core scales. Health and Quality of Life Outcomes, 5, 1. https://doi.org/10.1186/1477-7525-5-1
doi: 10.1186/1477-7525-5-1
pubmed: 17201920
pmcid: 1769360
Upton, P., Lawford, J., & Eiser, C. (2008). Parent–child agreement across child health-related quality of life instruments: A review of the literature. Quality of Life Research, 17, 895–913. https://doi.org/10.1007/s11136-008-9350-5
doi: 10.1007/s11136-008-9350-5
pubmed: 18521721
Pieper, P., & Garvan, C. (2015). Concordance of child and parent reports of health-related quality of life in children with mild traumatic brain or non-brain injuries and in uninjured children: longitudinal evaluation. Journal of Pediatric Health Care, 29, 343–351. https://doi.org/10.1016/j.pedhc.2015.01.008
doi: 10.1016/j.pedhc.2015.01.008
pubmed: 25747790
Hwang, H.-F., Chen, C.-Y., & Lin, M.-R. (2017). Patient-proxy agreement on the health-related quality of life one year after traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 98, 2540–2547. https://doi.org/10.1016/j.apmr.2017.05.013
doi: 10.1016/j.apmr.2017.05.013
pubmed: 28629989
von Steinbuechel, N., Zeldovich, M., Greving, S., et al. (2023). Quality of life after brain injury in children and adolescents (QOLIBRI-KID/ADO)—The first disease-specific self-report questionnaire after traumatic brain injury. JCM, 12, 4898. https://doi.org/10.3390/jcm12154898
doi: 10.3390/jcm12154898
von Steinbuechel, N., Zeldovich, M., Timmermann, D., et al. (2024). Final validation of the quality of life after brain injury for children and adolescents (QOLIBRI-KID/ADO) questionnaire. Children. https://doi.org/10.3390/children11040438
doi: 10.3390/children11040438
von Steinbuechel, N., Wilson, L., Gibbons, H., et al. (2010). Quality of life after brain injury (QOLIBRI): Scale development and metric properties. Journal of Neurotrauma, 27, 1167–1185. https://doi.org/10.1089/neu.2009.1076
doi: 10.1089/neu.2009.1076
von Steinbuechel, N., Wilson, L., Gibbons, H., et al. (2012). QOLIBRI overall scale: A brief index of health-related quality of life after traumatic brain injury. Journal of Neurology, Neurosurgery and Psychiatry, 83, 1041–1047. https://doi.org/10.1136/jnnp-2012-302361
doi: 10.1136/jnnp-2012-302361
von Steinbuechel, N., Rauen, K., Covic, A., et al. (2023). Sensitivity of outcome instruments in a priori selected patient groups after traumatic brain injury: Results from the CENTER-TBI study. PLoS ONE, 18, e0280796. https://doi.org/10.1371/journal.pone.0280796
doi: 10.1371/journal.pone.0280796
Teasdale, G., & Jennett, B. (1974). Assessment of coma and impaired consciousness: A practical scale. Lancet, 2, 81–84. https://doi.org/10.1016/s0140-6736(74)91639-0
doi: 10.1016/s0140-6736(74)91639-0
pubmed: 4136544
Mundfrom, D. J., Shaw, D. G., & Ke, T. L. (2005). Minimum sample size recommendations for conducting factor analyses. International Journal of Testing, 5, 159–168. https://doi.org/10.1207/s15327574ijt0502_4
doi: 10.1207/s15327574ijt0502_4
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166, 1092–1097. https://doi.org/10.1001/archinte.166.10.1092
doi: 10.1001/archinte.166.10.1092
pubmed: 16717171
Sequeira, S. L., Morrow, K. E., Silk, J. S., et al. (2021). National norms and correlates of the PHQ-8 and GAD-7 in parents of school-age children. Journal of Child and Family Studies, 30, 2303–2314. https://doi.org/10.1007/s10826-021-02026-x
doi: 10.1007/s10826-021-02026-x
pubmed: 34230796
pmcid: 8249213
Kroenke, K., & Spitzer, R. L. (2002). The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals, 32, 509–515. https://doi.org/10.3928/0048-5713-20020901-06
doi: 10.3928/0048-5713-20020901-06
Richardson, L. P., McCauley, E., Grossman, D. C., et al. (2010). Evaluation of the patient health questionnaire (PHQ-9) for detecting major depression among adolescents. Pediatrics, 126, 1117–1123. https://doi.org/10.1542/peds.2010-0852
doi: 10.1542/peds.2010-0852
pubmed: 21041282
Sady, M. D., Vaughan, C. G., & Gioia, G. A. (2014). Psychometric characteristics of the postconcussion symptom inventory in children and adolescents. Archives of Clinical Neuropsychology, 29, 348–363. https://doi.org/10.1093/arclin/acu014
doi: 10.1093/arclin/acu014
pubmed: 24739735
pmcid: 4030704
Müller, H., Hasse-Sander, I., Horn, R., et al. (1997). Rey auditory-verbal learning test: Structure of a modified German version. Journal of Clinical Psychology, 53, 663–671.
doi: 10.1002/(SICI)1097-4679(199711)53:7<663::AID-JCLP4>3.0.CO;2-J
pubmed: 9356896
Strauss, E., Sherman, E. M., & Spreen, O. (2006). Rey auditory verbal learning test (RAVLT). A compendium of neuropsychological tests—Administration, norms, and commentary (pp. 776–810). Oxford University Press.
Calvert, S., Miller, H. E., Curran, A., et al. (2008). The king’s outcome scale for childhood head injury and injury severity and outcome measures in children with traumatic brain injury. Developmental Medicine & Child Neurology, 50, 426–431. https://doi.org/10.1111/j.1469-8749.2008.02061.x
doi: 10.1111/j.1469-8749.2008.02061.x
Bulmer, M. G. (1979). Principles of statistics. Dover Publications.
Choi, S., Gibbons, L., & Crane, P. (2011). Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39, 1–30. https://doi.org/10.18637/jss.v039.i08
doi: 10.18637/jss.v039.i08
pubmed: 21572908
pmcid: 3093114
Terwee, C. B., Bot, S. D. M., de Boer, M. R., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60, 34–42. https://doi.org/10.1016/j.jclinepi.2006.03.012
doi: 10.1016/j.jclinepi.2006.03.012
pubmed: 17161752
Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005). Cronbach’s α, Revelle’s β, and Mcdonald’s ωH: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70, 123–133. https://doi.org/10.1007/s11336-003-0974-7
doi: 10.1007/s11336-003-0974-7
The Whoqol Group. (1998). The World Health Organization quality of life assessment (WHOQOL): Development and general psychometric properties. Social Science & Medicine, 46, 1569–1585. https://doi.org/10.1016/S0277-9536(98)00009-4
doi: 10.1016/S0277-9536(98)00009-4
Janssens, L., Gorter, J. W., Ketelaar, M., et al. (2008). Health-related quality-of-life measures for long-term follow-up in children after major trauma. Quality of Life Research, 17, 701–713.
doi: 10.1007/s11136-008-9339-0
pubmed: 18437531
pmcid: 2440951
Harvill, L. M. (1991). An NCME instructional module on: Standard error of measurement. Educational Measure: Issues Practice, 10, 33–41. https://doi.org/10.1111/j.1745-3992.1991.tb00195.x
doi: 10.1111/j.1745-3992.1991.tb00195.x
Cole, D. A. (1987). Utility of confirmatory factor analysis in test validation research. Journal of Consulting and Clinical Psychology, 55, 584–594. https://doi.org/10.1037/0022-006X.55.4.584
doi: 10.1037/0022-006X.55.4.584
pubmed: 3624616
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. https://doi.org/10.1080/10705519909540118
doi: 10.1080/10705519909540118
Steiger, J. H. (2016). Notes on the Steiger-Lind (1980) Handout. Structural Equation Modeling: A Multidisciplinary Journal, 23, 777–781. https://doi.org/10.1080/10705511.2016.1217487
doi: 10.1080/10705511.2016.1217487
Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51, 409–428. https://doi.org/10.3758/s13428-018-1055-2
doi: 10.3758/s13428-018-1055-2
pubmed: 29869222
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: L. Erlbaum Associates.
Wu, H., & Estabrook, R. (2016). Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes. Psychometrika, 81, 1014–1045. https://doi.org/10.1007/s11336-016-9506-0
doi: 10.1007/s11336-016-9506-0
pubmed: 27402166
pmcid: 5458787
Svetina, D., Rutkowski, L., & Rutkowski, D. (2020). Multiple-group invariance with categorical outcomes using updated guidelines: An illustration using mplus and the lavaan/semtools packages. Structural Equation Modeling: A Multidisciplinary Journal, 27, 111–130. https://doi.org/10.1080/10705511.2019.1602776
doi: 10.1080/10705511.2019.1602776
Ware, J. E., Kosinski, M., Bjorner, J. B., et al. (2007). User’s manual for the SF-36v2 health survey (2nd ed.). Lincoln, RI.
R Core Team. (2023). R: A language and environment for statistical computing. R Core Team.
Rich B (2021) Table1: Tables of descriptive statistics in HTML
Revelle, W. (2021). An introduction to the psych package: Part II scale construction and psychometrics. Northwestern University.
Rosseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software. https://doi.org/10.18637/jss.v048.i02
doi: 10.18637/jss.v048.i02
Kiotseridis, H., Cilio, C. M., Bjermer, L., et al. (2013). Quality of life in children and adolescents with respiratory allergy, assessed with a generic and disease-specific instrument. The Clinical Respiratory Journal, 7, 168–175. https://doi.org/10.1111/j.1752-699X.2012.00298.x
doi: 10.1111/j.1752-699X.2012.00298.x
pubmed: 22621438
Goldstein, S. L., Graham, N., Warady, B. A., et al. (2008). Measuring health-related quality of life in children with ESRD: Performance of the generic and ESRD-specific instrument of the pediatric quality of life inventory (PedsQL). American Journal of Kidney Diseases, 51, 285–297. https://doi.org/10.1053/j.ajkd.2007.09.021
doi: 10.1053/j.ajkd.2007.09.021
pubmed: 18215706
Baca, C. B., Vickrey, B. G., Vassar, S., & Berg, A. T. (2015). Disease-targeted versus generic measurement of health-related quality of life in epilepsy. Quality of Life Research, 24, 1379–1387. https://doi.org/10.1007/s11136-014-0867-5
doi: 10.1007/s11136-014-0867-5
pubmed: 25413780
Martin-Herz, S. P., Zatzick, D. F., & McMahon, R. J. (2012). Health-related quality of life in children and adolescents following traumatic injury: A review. Clinical Child and Family Psychology Review, 15, 192–214. https://doi.org/10.1007/s10567-012-0115-x
doi: 10.1007/s10567-012-0115-x
pubmed: 22527775
pmcid: 5502475
Novak, Z., Aglipay, M., Barrowman, N., et al. (2016). Association of persistent postconcussion symptoms with pediatric quality of life. JAMA Pediatrics, 170, e162900. https://doi.org/10.1001/jamapediatrics.2016.2900
doi: 10.1001/jamapediatrics.2016.2900
pubmed: 27775762
Fineblit, S., Selci, E., Loewen, H., et al. (2016). Health-related quality of life after pediatric mild traumatic brain injury/concussion: A systematic review. Journal of Neurotrauma, 33, 1561–1568. https://doi.org/10.1089/neu.2015.4292
doi: 10.1089/neu.2015.4292
pubmed: 26916876
Dewan, M. C., Mummareddy, N., Wellons, J. C., & Bonfield, C. M. (2016). Epidemiology of global pediatric traumatic brain injury: Qualitative review. World Neurosurgery, 91, 497–509.e1. https://doi.org/10.1016/j.wneu.2016.03.045
doi: 10.1016/j.wneu.2016.03.045
pubmed: 27018009
Gould, K. R., & Ponsford, J. L. (2015). A longitudinal examination of positive changes in quality-of-life after traumatic brain injury. Brain Injury, 29, 283–290. https://doi.org/10.3109/02699052.2014.974671
doi: 10.3109/02699052.2014.974671
pubmed: 25356859
Wilson, L., Marsden-Loftus, I., Koskinen, S., et al. (2017). Interpreting quality of life after brain injury scores: Cross-walk with the short form-36. Journal of Neurotrauma, 34, 59–65. https://doi.org/10.1089/neu.2015.4287
doi: 10.1089/neu.2015.4287
pubmed: 27297289
Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30, 473–483.
doi: 10.1097/00005650-199206000-00002
pubmed: 1593914
Ball, H. L. (2019). Conducting online surveys. Journal of Human Lactation, 35, 413–417. https://doi.org/10.1177/0890334419848734
doi: 10.1177/0890334419848734
pubmed: 31084575