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Quality of Life Research
Gepubliceerd in:

01-02-2011

The PedsQL™ Infant Scales: feasibility, internal consistency reliability, and validity in healthy and ill infants

Auteurs: James W. Varni, Christine A. Limbers, Katie Neighbors, Kris Schulz, Judith E. C. Lieu, Robert W. Heffer, Krista Tuzinkiewicz, Rita Mangione-Smith, Jerry J. Zimmerman, Estella M. Alonso

Gepubliceerd in: Quality of Life Research | Uitgave 1/2011

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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 (HRQOL) and disease-specific symptoms in children and adolescents ages 2–18. The new PedsQL™ Infant Scales were designed as a generic HRQOL instrument specifically for healthy and ill infants ages 1–24 months. The objective of this study was to report on the initial feasibility, internal consistency reliability, and validity of the PedsQL™ Infant Scales in healthy, acutely ill, and chronically ill infants.

Methods

The 36-item (ages 1–12 months) and 45-item (ages 13–24 months) PedsQL™ Infant Scales (Physical Functioning, Physical Symptoms, Emotional Functioning, Social Functioning, Cognitive Functioning) were completed by 683 parents of healthy, acutely ill, and chronically ill infants.

Results

The PedsQL™ Infant Scales evidenced minimal missing responses, achieved excellent internal consistency reliability for the Total Scale Scores (α = 0.92), distinguished between healthy infants and acutely and chronically ill infants, and demonstrated a confirmatory factor structure largely consistent with the a priori conceptual model.

Conclusions

The results demonstrate the initial measurement properties of the PedsQL™ Infant Scales in healthy and ill infants. The findings suggest that the PedsQL™ Infant Scales may be utilized in the evaluation of generic HRQOL in infants ages 1–24 months.
vorige artikel Kids’ Life and Times: using an Internet survey to measure children’s health-related quality of life
volgende artikel The impact of social isolation on the health status and health-related quality of life of older people
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Literatuur
1.
Varni, J. W., Burwinkle, T. M., & Lane, M. M. (2005). Health-related quality of life measurement in pediatric clinical practice: An appraisal and precept for future research and application. Health and Quality of Life Outcomes, 3(34), 1–9.
2.
Matza, L. S., Swensen, A. R., Flood, E. M., Secnik, K., & Leidy, N. K. (2004). Assessment of health-related quality of life in children: A review of conceptual, methodological, and regulatory issues. Value in Health, 7, 79–92.CrossRefPubMed
3.
Palermo, T. M., Long, A. C., Lewandowski, A. S., Drotar, D., Quittner, A. L., & Walker, L. S. (2008). Evidence-based assessment of health-related quality of life and functional impairment in pediatric psychology. Journal of Pediatric Psychology, 33, 896–983.CrossRef
4.
World Health Organization. (1948). Constitution of the World Health Organization: Basic document. Geneva, Switzerland: World Health Organization.
5.
FDA. (2009). Guidance for Industry: Patient-reported outcome measures: Use in medical product development to support labeling claims. Rockville, MD: Food and Drug Administration, U.S. Department of Health and Human Services.
6.
Patrick, D. L., & Deyo, R. A. (1989). Generic and disease-specific measures in assessing health status and quality of life. Medical Care, 27, S217–S233.CrossRefPubMed
7.
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.CrossRefPubMed
8.
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.CrossRefPubMed
9.
Campo, J. V., Comer, D. M., Jansen-McWilliams, L., Gardner, W., & Kelleher, K. J. (2002). Recurrent pain, emotional distress, and health service use in childhood. Journal of Pediatrics, 141, 76–83.CrossRefPubMed
10.
Janicke, D. M., Finney, J. W., & Riley, A. W. (2001). Children’s health care use: A prospective investigation of factors related to care-seeking. Medical Care, 39, 990–1001.CrossRefPubMed
11.
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.CrossRefPubMed
12.
Varni, J. W., & Limbers, C. A. (2009). The Pediatric Quality of Life Inventory™: Measuring pediatric health-related quality of life from the perspective of children and their parents. Pediatric Clinics of North America, 56, 843–863.CrossRefPubMed
13.
Fekkes, M., Theunissen, N. C. M., Brugman, E., Veen, S., Verrips, E. G. H., Koopman, H. M., et al. (2000). Development and psychometric evaluation of the TAPQOL: A health-related quality of life instrument for 1–5-year-old children. Quality of Life Research, 9, 961–972.CrossRefPubMed
14.
Bunge, E. M., Essink-Bot, M. L., Kobussen, M. P., van Suijlekom-Smit, L. W., Moll, H. A., & Ratt, H. (2005). Reliability and validity of health status measurement by the TAPQOL. Archives of Disease in Childhood, 90, 351–358.CrossRefPubMed
15.
Klassen, A. F., Landgraf, J. M., Lee, S. K., Barer, M., Raina, P., Chan, H. W. P., et al. (2003). Health related quality of life in 3 and 4 year old children and their parents: Preliminary findings about a new questionnaire. Health and Quality of Life Outcomes, 1, 81.CrossRefPubMed
16.
Raat, H., Landgraf, J. M., Oostenbrink, R., Moll, H. A., & Essink-Bot, M. L. (2007). Reliability and validity of the Infant and Toddler Quality of Life Questionnaire (ITQOL) in a general population and respiratory disease sample. Quality of Life Research, 16, 445–460.CrossRefPubMed
17.
Aday, L. A. (1996). Designing and conducting health surveys: A comprehensive guide (2nd ed.). San Francisco: Jossey-Bass.
18.
Fowler, F. J. (1995). Improving survey questions: Design and evaluation. Thousand Oaks, CA: Sage.
19.
Schwarz, N., & Sudman, N. (Eds.). (1996). Answering questions: Methodology for determining cognitive and communicative processes in survey research. San Francisco: Jossey-Bass.
20.
Fairclough, D. L. (2002). Design and analysis of quality of life studies in clinical trials: Interdisciplinary statistics. New York: Chapman & Hall/CRC.
21.
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.CrossRefPubMed
22.
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.CrossRefPubMed
23.
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.CrossRefPubMed
24.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.CrossRef
25.
Nunnally, J. C., & Bernstein, I. R. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
26.
Pedhazur, E. J., & Schmelkin, L. P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Erlbaum.
27.
McHorney, C. A., & Tarlow, A. R. (1995). Individual-patient monitoring in clinical practice: Are available health status surveys adequate? Quality of Life Research, 4, 293–307.CrossRefPubMed
28.
Fayers, P. M., & Machin, D. (2000). Quality of life: Assessment, analysis, and interpretation. New York: Wiley.
29.
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.CrossRefPubMed
30.
Varni, J. W., Burwinkle, T. M., Rapoff, M. A., Kamps, J. L., & Olson, N. (2004). The PedsQL™ in pediatric asthma: Reliability and validity of the Pediatric Quality of Life Inventory™ Generic Core Scales and Asthma Module. Journal of Behavioral Medicine, 27, 297–318.CrossRefPubMed
31.
Varni, J. W., Seid, M., Knight, T. S., Burwinkle, T. M., Brown, J., & Szer, I. S. (2002). The PedsQL™ in pediatric rheumatology: Reliability, validity, and responsiveness of the Pediatric Quality of Life Inventory™ Generic Core Scales and Rheumatology Module. Arthritis and Rheumatism, 46, 714–725.CrossRefPubMed
32.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
33.
SPSS. (2008). SPSS 16.0 for Windows. Chicago: SPSS, Inc.
34.
Hurley, A. E., Scandura, T. A., Schriesheim, C. A., Brannick, M. T., Seers, A., Vandenberg, R. J., et al. (1997). Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives. Journal of Organizational Behavior, 18, 667–683.CrossRef
35.
Mulaik, S., James, L., Van Alstine, J., Bennett, N., Lind, S., & Stilwell, C. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105, 430–445.CrossRef
36.
Bentler, P. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246.CrossRefPubMed
37.
Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173–180.CrossRef
38.
Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.CrossRef
39.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRef
40.
Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods and Research, 21, 230–258.CrossRef
41.
Hu. L., & Bentler, P. M. (1995). Evaluating model fit. In Hoyle, R. H. (Ed.) Structural equation modeling: Concepts, issues and applications (pp. 76–99). Thousand Oaks: Sage.
42.
Joreskog, K. G., & Sorbom, D. (2003). LISREL 8.5. Lincolnwood, IL: Scientific Software International, Inc.
43.
Varni, J. W., Limbers, C. A., & Newman, D. A. (2009). Using factor analysis to confirm the validity of children’s self-reported health-related quality of life across different modes of administration. Clinical Trials, 6, 185–195.CrossRefPubMed
Metagegevens
Titel
The PedsQL™ Infant Scales: feasibility, internal consistency reliability, and validity in healthy and ill infants
Auteurs
James W. Varni
Christine A. Limbers
Katie Neighbors
Kris Schulz
Judith E. C. Lieu
Robert W. Heffer
Krista Tuzinkiewicz
Rita Mangione-Smith
Jerry J. Zimmerman
Estella M. Alonso
Publicatiedatum
01-02-2011
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 1/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9730-5

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