nach oben

Quality of Life Research

Erschienen in:

01.12.2013

Utility of the PedsQL™ family impact module: assessing the psychometric properties in a community sample

verfasst von: Gustavo R. Medrano, Kristoffer S. Berlin, W. Hobart Davies

Erschienen in: Quality of Life Research | Ausgabe 10/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Purpose

Research on families coping with pediatric chronic illnesses has established that children and parents are affected by the illness. Therefore, optimal assessment of parent and family functioning is clinically important. The PedsQL™ family impact module (FIM) assesses parents’ health-related quality of life (HRQOL) and family functioning. While the FIM has been shown to be reliable and valid in multiple chronic illness groups, there is little data on its use in non-clinical groups. The study’s objective was to assess the reliability, validity, and factor structure of the FIM in a community sample.

Methods

Nine hundred and twenty-nine community parents of children 2–17 years old completed an anonymous online survey. The mean age of the participants was 37.6 years (SD = 8.6), and the majority were mothers (63.6 %), white (82.9 %), and married (74.8 %). The mean age of the children being reported on was 8.8 years (SD = 3.9), and the majority were female (52.3 %) and 41.2 % were reported as having at least one chronic condition.

Results

All of the FIM’s scales demonstrated excellent internal consistency reliability. Confirmatory factor analysis of the measure supported the current structure. The measure correlated in the expected direction with validated measures of anxiety, depression, child HRQOL, and number of chronic conditions endorsed. Independent t tests indicated that the measure has discriminant validity between parents who reported having a child with a chronic condition to those who did not.

Conclusion

The results of this study suggest the FIM is a reliable and valid measure of parent HRQOL and family functioning within a community sample, and facilitate its use in comparative studies.

Vorheriger Artikel Perception of health-related quality of life in children with chronic kidney disease by the patients and their caregivers: Multicentre national study results

Nächster Artikel Psychometric properties of the EuroQol Five Dimensional Questionnaire (EQ-5D-3L) in caregivers of autistic children

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Newacheck, P. W., & Taylor, W. R. (1992). Childhood chronic illness: prevalence, severity, and impact. American Journal of Public Health, 82(3), 364–371.PubMedCrossRef

Wallander, J. L., Varni, J. W., Babani, L. V., Banis, H. T., & Wilcox, K. T. (1989). Family resources as resistance factors for psychological maladjustment in chronically ill and handicapped children. Journal of Pediatric Psychology, 14, 157–173.PubMedCrossRef

Palermo, T. (2000). Impact of recurrent and chronic pain on child and family daily functioning: a critical review of the literature. Developmental and Behavioral Pediatrics, 21(1), 58–69.CrossRef

Kazak, A. E., Rourke, M. T., & Navsaria, N. (2009). Families and other systems in pediatric psychology. In M. C. Roberts & R. G. Steele (Eds.), Handbook of pediatric psychology (4th ed., pp. 656–671). New York: Guilford Press.

Quittner, A., Espelage, D., Opipari, L., Carter, B., Eid, N., & Eigen, H. (1998). Role strain in couples with and without a child with a chronic illness: Associations with marital satisfaction, intimacy, and daily mood. Health Psychology, 17, 112–124.PubMedCrossRef

Timko, C., Stovel, K. W., & Moos, R. H. (1992). Functioning among mothers and fathers of children with juvenile rheumatic disease: A longitudinal study. Journal of Pediatric Psychology, 17(6), 705–724.PubMedCrossRef

La Greca, A. M., & Mackey, E. R. (2009). Adherence to pediatric treatment regimens. In M. C. Roberts & R. G. Steele (Eds.), Handbook of pediatric psychology (4th ed., pp. 130–152). New York: Guilford Press.

Wallander, J. L., & Varni, J. W. (1992). Adjustment in children with chronic physical disorders: Programmatic research on a disability-stress-coping model. In A. M. LaGreca, L. Siegal, J. L. Wallander, & C. E. Walker (Eds.), Stress and coping with pediatric conditions (pp. 279–298). New York: Guilford Press.

Scarpelli, A. C., Paiva, S. M., Pordeus, I. A., Varni, J. W., Viegas, C. M., & Allison, P. J. (2008). The pediatric quality of life inventory ™ (PedsQL) ™ family impact module: Reliability and validity of the Brazilian version. Health and Quality of Life Outcomes, 6(35). doi:10.1186/1477-7525-6-35.

10.

Varni, J. W., Limbers, C., & Burwinkle, T. M. (2007). Literature review: Health-related quality of life measurement in pediatric oncology: Hearing the voices of the children. Journal of Pediatric Psychology, 32(9), 1151–1163.PubMedCrossRef

11.

Vila, G., Hayder, R., Bertrand, C., Falissard, B., de Blinc, J., Mouren-Simeoni, M., et al. (2003). Psychopathology and quality of life for adolescents with asthma and their parents. Psychosomatics, 44(4), 319–328.PubMedCrossRef

12.

World Health Organization. (1948). Constitution of the World Health Organization. Geneva: World Health Organization.

13.

Varni, J. W., Sherman, S. A., Burwinkle, T. M., Dickinson, P. E., & Dixon, P. (2004). The PedsQL™ family impact module: Preliminary reliability and validity. Health and Quality of Life Outcomes, 2, 55.PubMedCrossRef

14.

Stein, R. E., & Jessop, D. J. (2003). The impact on family scale revisited: Further psychometric data. Journal of Behavioral and Developmental Pediatrics, 24, 9–16.CrossRef

15.

Moos, R., & Moos, B. (1994). Family environment scale manual: Development, applications, research (3rd ed.). Palo Alto, CA: Consulting Psychologist Press.

16.

Hsieh, R., Huang, H., Lin, M., Wu, C., & Lee, W. (2009). Quality of life, health satisfaction and family impact on caregivers of children with developmental delays. Child Care, Health and Development, 35(2), 243–249.PubMedCrossRef

17.

Panepinto, J. A., Hoffmann, R. G., & Pajewski, N. M. (2009). A psychometric evaluation of the PedsQL™ family impact module in parents of children with sickle cell disease. Health and Quality of Life Outcomes, 7(32). doi:10.1186/1477-7525-7-32.

18.

Anthony, S. J., Hebert, D., Todd, L., Korus, M., Langlois, V., Pool, R., et al. (2010). Child and parental perspectives of multidimensional quality of life outcomes after kidney transplantation. Pediatric Transplantation, 14, 249–256.PubMedCrossRef

19.

Jastrowski Mano, K., Khan, K., Ladwig, R., & Weisman, S. (2011). The impact of pediatric chronic pain on parents’ health-related quality of life and family functioning: Reliability and validity of the PedsQL 4.0 family impact module. Journal of Pediatric Psychology, 36(5), 517–527.PubMedCrossRef

20.

Kunz, J., Greenley, R., & Howard, M. (2011). Maternal, paternal, and family health- related quality of life in the context of pediatric inflammatory bowel disease. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation, 20(8), 1197–1204.CrossRef

21.

Limbers, C. A., Ripperger-Suhler, J., Boutton, K., Ransom, D., & Varni, J. W. A comparative analysis of health-related quality of life and family impact between children with ADHD treated in a general pediatric clinic and a psychiatric clinic utilizing the PedsQL. Journal of Attention Disorders (in press).

22.

Ialongo, N. S., Kellam, S. G., & Poduska, J. (2000). A developmental epidemiological framework for clinical child and pediatric psychology research. In D. Drotar (Ed.), Handbook of research in pediatric and clinical child psychology-practical strategies and methods (pp. 3–19). New York: Kluwer Academic/Plenum Publishers.CrossRef

23.

Drotar, D., & Riekert, K. A. (2000). Understanding and managing sampling issues in research with children. In D. Drotar (Ed.), Handbook of research in pediatric and clinical child psychology-practical strategies and methods (pp. 77–96). New York: Kluwer Academic/Plenum Publishers.CrossRef

24.

Herzer, M., Godiwala, N., Hommel, K. A., Driscoll, K., Mitchell, M., Crosby, L. E., et al. (2010). Family functioning in the context of pediatric chronic conditions. Journal of Developmental and Behavioral Pediatrics, 31(1), 26–34.PubMedCrossRef

25.

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

26.

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

27.

Varni, J. W., Burwinkle, T. M., Seid, M., & Skarr, D. (2003). The PedsQL as a pediatric population health measure: Feasibility, reliability, and validity. Ambulatory Pediatrics, 3(6), 329–341.PubMedCrossRef

28.

Varni, J. W., Burwinkle, T. M., & Seid, M. (2006). The PedsQLTM 4.0 as a school population health measure: Feasibility, reliability, and validity. Quality of Life Research, 15, 203–215.PubMedCrossRef

29.

Zigmond, A. S., & Snaith, R. P. (1983). The hospital and anxiety scale. Acta Psychiatrica Scandinavica, 67(6), 361–370.PubMedCrossRef

30.

Bjelland, I., Dahl, A. A., Tangen Haug, T., & Neckelmann, D. (2002). The validity of the hospital anxiety and depression scale. An updated literature review. Journal of Psychosomatic Research, 52, 69–77.PubMedCrossRef

31.

IBM SPSS Statistics for Windows (Version 19.0) [Computer software]. Armonk, NY: IBM Corp.

32.

Mutheìn, L. K., & Mutheìn, B. O. (1998–2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Mutheìn & Mutheìn.

33.

Bentler, P. M. (1990). Comparative fix indexes in structural models. Psychological Bulletin, 107, 238–246.PubMedCrossRef

34.

MacCullum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structural modeling. Psychological Methods, 1, 130–149.CrossRef

35.

Bollen, K. A. (1989). Structural equations with latent variables. Oxford, England: Wiley.

36.

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272–299.CrossRef

37.

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–161). Newbury Park, CA: Sage.

38.

Hu, L., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 76–99). Thousand Oaks, CA: Sage.

39.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Lawrence Erlbaum Associates.

40.

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.PubMedCrossRef

Titel: Utility of the PedsQL™ family impact module: assessing the psychometric properties in a community sample
verfasst von: Gustavo R. Medrano
Kristoffer S. Berlin
W. Hobart Davies
Publikationsdatum: 01.12.2013
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 10/2013
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-013-0422-9

Springer Professional

Abstract

Purpose

Methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 10/2013

A comparison of directly elicited and pre-scored preference-based measures of quality of life: the case of adhesive capsulitis

Understanding our best: eudaimonia’s growing influence in psychology

Factor analyses of the Hospital Anxiety and Depression Scale: a Bayesian structural equation modeling approach

Comparison of direct-measured and derived short form six dimensions (SF-6D) health preference values among chronic hepatitis B patients

An examination of the PROMIS® pediatric instruments to assess mobility in children with cerebral palsy

Development of a crosswalk for pain interference measured by the BPI and PROMIS pain interference short form

Premium Partner