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Quality of Life Research
Gepubliceerd in:

01-08-2011

PedsQL™ Cognitive Functioning Scale in pediatric liver transplant recipients: feasibility, reliability, and validity

Auteurs: James W. Varni, Christine A. Limbers, Lisa G. Sorensen, Katie Neighbors, Karen Martz, John C. Bucuvalas, Estella M. Alonso

Gepubliceerd in: Quality of Life Research | Uitgave 6/2011

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Abstract

Objective

The PedsQL™ (Pediatric Quality of Life Inventory™) is a modular instrument designed to measure health-related quality of life and disease-specific symptoms. The PedsQL™ Cognitive Functioning Scale was developed as a brief generic symptom-specific instrument to measure cognitive functioning. The objective of the present study was to determine the feasibility, reliability, and validity of the PedsQL™ Cognitive Functioning Scale in pediatric liver transplant recipients.

Methods

The 6-item PedsQL™ Cognitive Functioning Scale and the PedsQL™ 4.0 Generic Core Scales were completed by pediatric liver transplant recipients ages 8–18 years (n = 215) and parents of pediatric liver transplant recipients ages 2–18 years (n = 502). Both patient self-report and parent proxy-report were available for 212 cases. The 72-item Behavior Rating Inventory of Executive Function (BRIEF), a widely validated measure of executive functioning, was completed by 100 parents and 56 teachers on a subset of patients.

Results

The PedsQL™ Cognitive Functioning Scale demonstrated minimal missing responses (0.0%, child report, 0.67%, parent report), achieved excellent reliability (α = 0.88 child report, 0.94 parent report), distinguished between pediatric patients with liver transplants and healthy children supporting discriminant validity, and was significantly correlated with the PedsQL™ 4.0 Generic Core Scales and the BRIEF supporting construct and concurrent validity, respectively. Pediatric liver transplants recipients experienced cognitive functioning comparable to long-term pediatric cancer survivors.

Conclusions

The results demonstrate the feasibility, reliability, discriminant, construct, and concurrent validity of the PedsQL™ Cognitive Functioning Scale in pediatric liver transplant recipients.
vorige artikel Validation of the AQLQ12+ among adolescents and adults with persistent asthma
volgende artikel Cross-cultural adaptation and validation with reliability, validity, and responsiveness of the Italian version of the Oxford Hip Score in patients with hip osteoarthritis
Literatuur
1.
Weissberg-Benchell, J., Zielinski, T. E., Rodgers, S., Greenley, R. N., Askenazi, D., Goldstein, S. L., et al. (2010). Pediatric health-related quality of life: Feasibility, reliability and validity of the PedsQL™ Transplant Module. American Journal of Transplantation, 10, 1677–1685.PubMedCrossRef
2.
Alonso, E. M., Limbers, C. A., Neighbors, K., Martz, K., Bucuvalas, J. C., Webb, T., et al. (2010). Cross-sectional analysis of health-related quality of life in pediatric liver transplant recipients. Journal of Pediatrics, 156, 270–276.PubMedCrossRef
3.
Gilmour, S., Adkinsb, R., Liddellb, G. A., Jhangric, G., & Robertsond, C. M. (2009). Assessment of psychoeducational outcomes after pediatric liver transplant. American Journal of Transplantation, 9, 294–300.PubMedCrossRef
4.
Krull, K., Fuchs, C., Yurk, H., Boone, P., & Alonso, E. M. (2003). Neurocognitive outcome in pediatric liver transplant recipients. Pediatric Transplantation, 7, 111–118.PubMedCrossRef
5.
Adeback, A., Nemeth, A., & Fischler, B. (2003). Cognitive and emotional outcome after pediatric liver transplantation. Pediatric Transplantation, 7, 385–389.PubMedCrossRef
6.
Kaller, T., Schulz, K., Sander, K., Boeck, A., Rogiers, X., & Burdelski, M. (2005). Cognitive abilities in children after liver transplantation. Transplantation, 79, 1252–1256.PubMedCrossRef
7.
Sorensen, L. G., Neighbors, K., Martz, K., Zelko, F., Bucuvalas, J. C., & Alonso, E. M. (in press). Cognitive and academic outcomes after pediatric liver transplantation: Functional outcomes group (FOG) results. American Journal of Transplantation.
8.
Varni, J. W., Burwinkle, T. M., Katz, E. R., Meeske, K., & Dickinson, P. (2002). The PedsQL™ in pediatric cancer: Reliability and validity of The Pediatric Quality of Life Inventory™ Generic Core Scales, Multidimensional Fatigue Scale, and cancer module. Cancer, 94, 2090–2106.PubMedCrossRef
9.
McCarthy, M. L., MacKenzie, E. J., Durbin, D. R., Aitken, M. E., Jaffe, K. M., Paidas, C. N., et al. (2005). The Pediatric Quality of Life Inventory: An evaluation of its reliability and validity for children with traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 86, 1901–1909.PubMedCrossRef
10.
Suchy, Y. (2009). Executive functioning: Overview, assessment, and research issues for non-neuropsychologists. Annals of Behavioral Medicine, 37, 106–116.PubMedCrossRef
11.
Varni, J. W., Burwinkle, T. M., & Szer, I. S. (2004). The PedsQL™ Multidimensional Fatigue Scale in pediatric rheumatology: Reliability and validity. Journal of Rheumatology, 31, 2494–2500.PubMed
12.
Palmer, S. N., Meeske, K. A., Katz, E. R., Burwinkle, T. M., & Varni, J. W. (2007). The PedsQL™ brain tumor module: Initial reliability and validity. Pediatric Blood & Cancer, 49, 287–293.CrossRef
13.
Gold, J. I., Mahrer, N. E., Yee, J., & Palermo, T. M. (2009). Pain, fatigue, and health-related quality of life in children and adolescents with chronic pain. Clinical Journal of Pain, 25, 407–412.PubMedCrossRef
14.
Varni, J. W., Limbers, C. A., Bryant, W. P., & Wilson, D. P. (2009). The PedsQL™ Multidimensional Fatigue Scale in type 1 diabetes: Feasibility, reliability, and validity. Pediatric Diabetes, 10, 321–328.PubMedCrossRef
15.
Varni, J. W., Limbers, C. A., Bryant, W. P., & Wilson, D. P. (2010). The PedsQL™ Multidimensional Fatigue Scale in pediatric obesity: Feasibility, reliability, and validity. International Journal of Pediatric Obesity, 5, 34–42.PubMedCrossRef
16.
Varni, J. W., Burwinkle, T. M., Limbers, C. A., & Szer, I. S. (2007). The PedsQL™ as a patient-reported outcome in children and adolescents with fibromyalgia: An analysis of OMERACT domains. Health and Quality of Life Outcomes, 5(9), 1–12.PubMedCrossRef
17.
Marcus, S. B., Strople, J. A., Neighbors, K., Weissberg-Benchell, J., Nelson, S. P., Limbers, C. A., et al. (2009). Fatigue and health-related quality of life in pediatric inflammatory bowel disease. Clinical Gastroenterology and Hepatology, 7, 554–561.PubMedCrossRef
18.
MacAllister, W. S., Christodoulou, C., Troxell, R., Milazzo, M., Block, P., Preston, T. E., et al. (2009). Fatigue and quality of life in pediatric multiple sclerosis. Multiple Sclerosis, 15, 1502–1508.PubMedCrossRef
19.
Paulsen, E. K., Friedman, L. S., Myers, L. M., & Lynch, D. R. (2010). Health-related quality of life in children with Friedreich ataxia. Pediatric Neurology, 42, 335–337.PubMedCrossRef
20.
Dampier, C., Lieff, S., Lebeau, P., Rhee, S., McMurray, M., Rogers, Z., et al. (2010). Health-related quality of life in children with sickle cell disease: A report from the comprehensive sickle cell centers clinical trial consortium. Pediatric Blood & Cancer, 55, 485–494.CrossRef
21.
Limbers, C. A., Heffer, R. W., & Varni, J. W. (2009). Health-related quality of life and cognitive functioning from the perspective of parents of school-aged children with Asperger’s Syndrome utilizing the PedsQL™. Journal of Autism and Developmental Disorders, 39, 1529–1541.PubMedCrossRef
22.
Fayers, P. M., & Hand, D. J. (1997). Factor analysis, causal indicators and quality of life. Quality of Life Research, 6, 139–150.PubMed
23.
Rubenstein, C. L., Varni, J. W., & Katz, E. R. (1990). Cognitive functioning in long-term survivors of childhood leukemia: A prospective analysis. Journal of Developmental and Behavioral Pediatrics, 11, 301–305.PubMedCrossRef
24.
Copeland, D. R. (1992). Neuropsychological and psychosocial effects of childhood leukemia and its treatment. CA-A Cancer Journal for Clinicians, 42, 283–295.PubMedCrossRef
25.
Mulhern, R. K., Hancock, J., Fairclough, D., & Kun, L. (1992). Neuropsychological status of children treated for brain tumors: A critical review and integrative analysis. Medical and Pediatric Oncology, 20, 181–191.PubMedCrossRef
26.
Meadows, A. T., Massari, D. J., & Fergusson, J. (1981). Declines in IQ scores and cognitive dysfunctions in children with acute lymphocytic leukemia treated with cranial irradiation. Lancet, 2, 1015–1018.PubMedCrossRef
27.
Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQL™ 4.0: Reliability and validity of The Pediatric Quality of Life Inventory™ version 4.0 Generic Core Scales in healthy and patient populations. Medical Care, 39, 800–812.PubMedCrossRef
28.
McHorney, C. A., Kosinski, M., & Ware, J. E. (1994). Comparisons of the costs and quality of norms for the SF-36 Health Survey collected by mail versus telephone interview: Results from a national survey. Medical Care, 32, 551–567.PubMedCrossRef
29.
Fairclough, D. L., & Cella, D. F. (1996). Functional assessment of cancer therapy (FACT-G): Non-response to individual questions. Quality of Life Research, 5, 321–329.PubMedCrossRef
30.
Gioia, G. A., Isquith, P. K., Guy, S. C., & Kenworthy, L. (2000). Behavior rating inventory of executive function. Odessa, FL: Psychological Assessment Resources.
31.
Sesma, H. W., Slomine, B. S., Ding, R., & McCarthy, M. L. (2008). Executive functioning in the first year after pediatric traumatic brain injury. Pediatrics, 121, e1686–e1695.PubMedCrossRef
32.
McHorney, C. A., Ware, J. E., Lu, J. F. R., & Sherbourne, C. D. (1994). The MOS 36-item short-form health survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical Care, 32, 40–66.PubMedCrossRef
33.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef
34.
Nunnally, J. C., & Bernstein, I. R. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
35.
McHorney, C. A., Ware, J. E., & Raczek, A. E. (1993). The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31, 247–263.PubMedCrossRef
36.
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
37.
Pedhazur, E. J., & Schmelkin, L. P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Erlbaum.
38.
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1, 30–46.CrossRef
39.
Wilson, K. A., Dowling, A. J., Abdolell, M., & Tannock, I. F. (2001). Perception of quality of life by patients, partners and treating physicians. Quality of Life Research, 9, 1041–1052.CrossRef
40.
SPSS. (2008). SPSS 16.0 for windows. Chicago: SPSS, Inc.
41.
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.PubMedCrossRef
42.
Eiser, C., & Morse, R. (2001). Can parents rate their child’s health-related quality of life?: Results from a systematic review. Quality of Life Research, 10, 347–357.PubMedCrossRef
43.
Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). Parent proxy-report of their children’s health-related quality of life: An analysis of 13, 878 parents’ reliability and validity across age subgroups using the PedsQL™ 4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5(2), 1–10.PubMedCrossRef
44.
Varni, J. W., Burwinkle, T. M., & Seid, M. (2006). The PedsQL™ 4.0 as a school population health measure: Feasibility, reliability, and validity. Quality of Life Research, 15, 203–215.PubMedCrossRef
45.
Newman, D. A., Limbers, C. A., & Varni, J. W. (2010). Factorial invariance of child self-report across English and Spanish language groups in a Hispanic population utilizing the PedsQL™ 4.0 Generic Core Scales. European Journal of Psychological Assessment, 26, 194–202.CrossRef
46.
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.PubMedCrossRef
Metagegevens
Titel
PedsQL™ Cognitive Functioning Scale in pediatric liver transplant recipients: feasibility, reliability, and validity
Auteurs
James W. Varni
Christine A. Limbers
Lisa G. Sorensen
Katie Neighbors
Karen Martz
John C. Bucuvalas
Estella M. Alonso
Publicatiedatum
01-08-2011
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 6/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9823-1

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