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

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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.

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References

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

    Article  PubMed  CAS  Google Scholar 

  2. 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.

    Article  PubMed  CAS  Google Scholar 

  3. 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.

    Article  CAS  Google Scholar 

  4. 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.

    Google Scholar 

  5. 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.

    Article  PubMed  CAS  Google Scholar 

  6. 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.

    Article  PubMed  CAS  Google Scholar 

  7. 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.

    Google Scholar 

  8. 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.

    Google Scholar 

  9. 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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

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

    Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Chapter  Google Scholar 

  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.

    Chapter  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  Google Scholar 

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

    Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    Google Scholar 

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

    Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

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Correspondence to Gustavo R. Medrano.

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Medrano, G.R., Berlin, K.S. & Hobart Davies, W. Utility of the PedsQL™ family impact module: assessing the psychometric properties in a community sample. Qual Life Res 22, 2899–2907 (2013). https://doi.org/10.1007/s11136-013-0422-9

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