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Can in-the-moment diary methods measure health-related quality of life in Duchenne muscular dystrophy?

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Abstract

Aim

To investigate whether in-the-moment diary reports of daily experience, taken collectively, are a valid representation of health-related quality of life (HRQL).

Methods

A total of 35 boys with Duchenne muscular dystrophy (DMD) were recruited through four neuromuscular care providers across Australia. Participants completed the PedsQL™ Generic Core scales and one week of experience-sampling diary reporting on a personal digital assistant. Rasch analysis was undertaken on the diary data to derive a single valid measure score. The resulting measure score for each participant was correlated with the summary score from the PedsQL™ Generic Core scales to examine whether daily experience was representative of HRQL.

Results

The daily diary method showed good metric properties, with adequate goodness of fit for data from items and participants suggesting unidimensionality of the construct: quality of everyday experience. The correlation of the daily diary measure score with overall PedsQL™ summary score showed moderate agreement (r = .60, p = 0.001).

Conclusions

The benefits of measuring daily quality of life include detailed descriptions of day-to-day experiences of children without the need for retrospective recall. Diary methods on an electronic platform or software application for personal devices may be a useful tool to understand HRQL as the repeated measures data provide a detailed experience directly from the child and the platform makes data completion highly motivating.

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References

  1. Uzark, K., King, E., Cripe, L., Spicer, R., Sage, J., Kinnett, K., et al. (2012). Health-related quality of life in children and adolescents with Duchenne muscular dystrophy. Pediatrics, 130, e1559–e1566.

    Article  PubMed  Google Scholar 

  2. Drotar, D. (1998). Measuring health-related quality of life in children and adolescents: Implications for research and practice. Mahwah, NJ: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  3. Eiser, C., & Morse, R. (2001). The measurement of quality of life in children: Past and future perspectives. Journal of Developmental and Behavioral Pediatrics, 22, 248–256.

    Article  CAS  PubMed  Google Scholar 

  4. Dickinson, H. O., Parkinson, K. N., Ravens-Sieberer, U., Schirripa, G., Thyen, U., Arnaud, C., et al. (2007). Self-reported quality of life of 8–12-year-old children with cerebral palsy: A cross-sectional European study. The Lancet, 369, 2171–2178.

    Article  Google Scholar 

  5. Juniper, E. F., Guyatt, G. H., Feeny, D. H., Griffith, L. E., & Ferrie, P. J. (1997). Minimum skills required by children to complete health-related quality of life instruments for asthma: Comparison of measurement properties. European Respiratory Journal, 10, 2285–2294.

    Article  CAS  PubMed  Google Scholar 

  6. Eiser, C., & Morse, R. (2001). Can parents rate their child’s health-related quality of life? Results of a systematic review. Quality of Life Research, 10, 347–357.

    Article  CAS  PubMed  Google Scholar 

  7. 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, 6, 895–913.

    Article  Google Scholar 

  8. Opstal, S. L. S. H. V., Jansen, M., van Alfen, N., & de Groot, I. J. M. (2014). Health-related quality of life and its relation to disease severity in boys with Duchenne muscular dystrophy: Satisfied boys, worrying parents—A case-control study. Journal of Child Neurology, 29, 1486–1495.

    Article  Google Scholar 

  9. Gill, T. M., & Feinstein, A. R. (1994). A critical appraisal of the quality of quality-of-life measurements. JAMA, 272, 619–626.

    Article  CAS  PubMed  Google Scholar 

  10. Eiser, C., & Morse, R. (2001). Quality-of-life measures in chronic diseases of childhood. Health Technology Assessment, 5, 1–156.

    Article  CAS  PubMed  Google Scholar 

  11. Stone, A. A., & Shiffman, S. (2002). Capturing momentary, self report data: A proposal for reporting guidelines. Annals of Behavioral Medicine, 24, 236–243.

    Article  PubMed  Google Scholar 

  12. Varni, J. W., Burwinkle, T. M., Sherman, S. A., Hanna, K., Berrin, S. J., Malcarne, V. L., et al. (2005). Health-related quality of life of children and adolescents with cerebral palsy: Hearing the voices of the children. Developmental Medicine and Child Neurology, 47, 592–597.

    Article  PubMed  Google Scholar 

  13. Rosenbaum, P. (2008). Children’s quality of life: Separating the person from the disorder. Archives of Disease in Childhood, 93, 100–101.

    Article  PubMed  Google Scholar 

  14. Eiser, C. (1997). Children’s quality of life measures. Archives of Disease in Childhood, 77, 350–354.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Spieth, L. E., & Harris, C. V. (1996). Assessment of health-related quality of life in children and adolescents: An integrative review. Journal of Pediatric Psychology, 21, 175–193.

    Article  CAS  PubMed  Google Scholar 

  16. Stone, A. A., & Shiffman, S. (1994). Ecological momentary assessment: Measuring real world processes in behavioural medicine. Annuals of Behavioural Medicine, 16, 199–202.

    Google Scholar 

  17. Rajmil, L., Herdman, M., De Sanmamed, M. F., Detmar, S., Bruil, J., Ravens-Sieberer, U., et al. (2004). Generic health-related quality of life instruments in children and adolescents: A qualitative analysis of content. Journal of Adolescent Health, 34, 37–45.

    Article  PubMed  Google Scholar 

  18. Palermo, T. M., Valenzuela, D., & Stork, P. P. (2004). A randomized trial of electronic versus paper pain diaries in children: Impact on compliance, accuracy and acceptability. Pain, 107, 213–219.

    Article  PubMed  Google Scholar 

  19. Maes, I. H. L., Delespaul, P. A. E. G., Peters, M. L., White, M. P., van Horn, Y., Schruers, K., et al. (2015). Measuring health-related quality of life by experiences: The experience sampling method. Value in Health, 18, 44–51.

    Article  PubMed  Google Scholar 

  20. Hektner, J. M., Schmidt, J. A., & Csikszentmihalyi, M. (2007). Experience sampling method: Measuring the quality of everyday life. California: SAGE.

    Book  Google Scholar 

  21. Csikszentmihalyi, M., & Schneider, B. (2001). Conditions for optimal development in adolescence: An experiential approach. Applied Developmental Science, 5(3), 122–124.

    Article  Google Scholar 

  22. Csikszentmihalyi, M., & Larson, R. (1984). Being adolescent: Conflict and growth in the teenage years. New York: Basic Books Inc.

    Google Scholar 

  23. Barge-Schaapveld, D., Nicolson, N., Delespaul, P., & deVries, M. W. (2006). Assessing daily quality of life with the experience sampling method. In H. Katschnig, H. Freeman, & N. Sartorius (Eds.), Quality of life in mental disorders. Wiley: West Sussex.

    Google Scholar 

  24. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579–616.

    Article  PubMed  Google Scholar 

  25. Henker, B., Whalen, C. K., Jamner, L. D., & Delfino, R. J. (2002). Anxiety, affect, and activity in teenagers: Monitoring daily life with electronic diaries. Journal of the American Academy of Child and Adolescent Psychiatry, 41, 660–670.

    Article  PubMed  Google Scholar 

  26. Rah, M., Walline, J. J., Mitchell, G. L., & Zadnik, K. (2006). Comparison of the experience sampling method and questionnaires to asses visual activities in pre-teen and adolescent children. Ophthalmic and Physiological Optics, 26, 483–489.

    Article  PubMed  Google Scholar 

  27. Csikszentmihalyi, M., & Larson, R. W. (1987). Validity and reliability of the experience sampling method. Journal of Nervous and Mental Disorders, 175, 526–536.

    Article  CAS  Google Scholar 

  28. Moneta, G., Schneider, B., & Csikszentmihalyi, M. (2001). A longitudinal study of self-concept and experiential components of self-worth and affect across adolescence. Applied Developmental Science, 5, 125–142.

    Article  Google Scholar 

  29. Rah, M., Mitchell, G., & Zadnik, K. (2004). Use of the experience sampling method to measure nearwork. Optometry and Vision Science, 81, 82–87.

    Article  PubMed  Google Scholar 

  30. Bray, P., Bundy, A. B., Ryan, M. M., & North, K. N. (2010). Feasibility of a computerized method to measure quality of ‘everyday’ life in children with neuromuscular disorders. Physical and Occupational Therapy in Pediatrics, 30, 43–53.

    Article  PubMed  Google Scholar 

  31. Christensen, T. C., Barrett, L. F., Bliss-Moreau, E., Lebo, K., & Kaschub, C. (2003). A practical guide to experience-sampling procedures. Journal of Happiness Studies, 4, 53–78.

    Article  Google Scholar 

  32. Bishop, M. (2005). Quality of life and psychosocial adaptation to chronic illness and acquired disability: A conceptual and theoretical synthesiss. Journal of Rehabilitation, 71, 5–13.

    Google Scholar 

  33. Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (1988). Optimal experience: Psychological studies of flow in consciousness. New York: Cambridge University Press.

    Book  Google Scholar 

  34. Dale, O., & Hagen, K. B. (2007). Despite technical problems personal digital assistants outperform pen and paper when collecting patient diary data. Journal of Clinical Epidemiology, 60, 8–17.

    Article  PubMed  Google Scholar 

  35. Roelofs, J., Peters, M. L., Patijn, J., Schouten, E. G. W., & Vlaeyen, J. W. S. (2006). An electronic diary assessment of the effects of distraction and attentional focusing on pain intensity in chronic low back pain patients. British Journal of Health Psychology, 11, 595–606.

    Article  PubMed  Google Scholar 

  36. Matthew, A. G., Currie, K. L., Ritvo, P., Nam, R., Nesbitt, M. E., Kalnin, R. W., et al. (2007). Personal digital assistant capture: The future of quality of life measurement in prostate cancer treatment. Journal of Oncology Practice, 3, 115–120.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Kimhy, D., Delespaul, P., Corcoran, C., Ahn, H., Yale, S., & Malaspina, D. (2006). Computerized experience sampling method (ESMc): Assessing feasibility and validity among individuals with schizophrenia. Journal of Psychiatric Research, 40, 221–230.

    Article  PubMed  Google Scholar 

  38. Barge-Schaapveld, D., & Nicolson, N. A. (2002). Effects of antidepressant treatment on the quality of daily life: An experience sampling study. Journal of Clinical Psychiatry, 63, 477–485.

    Article  CAS  PubMed  Google Scholar 

  39. McDonald, C. M. M., Abresch, R. T. M., Carter, G. T. M., Fowler, W. M. J., Johnson, E. R. M. D., Kilmer, D. D. M., et al. (1995). Profiles of neuromuscular diseases: Duchenne muscular dystrophy. American Journal of Physical Medicine and Rehabilitation, 74, S93.

    Article  CAS  PubMed  Google Scholar 

  40. Bray, P., Bundy, A. B., Ryan, M. M., North, K. N., & Everett, A. (2010). Health related quality of life in boys with Duchenne muscular dystrophy: Agreement between parents and their sons. Journal of Child Neurology, 25, 1188–1194.

    Article  PubMed  Google Scholar 

  41. Hendriksen, J. G. M., & Vles, J. S. H. (2008). Neuropsychiatric disorders in males with Duchenne muscular dystrophy: Frequency rate of attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder, and obsessive-compulsive disorder. Journal of Child Neurology, 23, 477–481.

    Article  PubMed  Google Scholar 

  42. Woodcock, R. W., McGrew, K. S., & Meather, N. (2001). Woodcock–Johnson III tests of achievement. ITASCA, IL: Riverside Publishing.

    Google Scholar 

  43. Vignos, P. J., Wagner, M. B., Karlinchak, B., & Katirji, B. (1996). Evaluation of a program for long-term treatment of Duchenne muscular dystrophy. Experience at the University Hospitals of Cleveland. The Journal of Bone and Joint Surgery, 78(12), 1844–1852.

    Article  CAS  PubMed  Google Scholar 

  44. Brooke, M. H., Griggs, R. C., Mendell, J. R., Fenichel, G. M., Shumate, J. B., & Pellegrino, R. J. (1981). Clinical trial in Duchenne dystrophy. I. The design of the protocol. Muscle and Nerve, 4, 186–197.

    Article  CAS  PubMed  Google Scholar 

  45. Maier, K. S. (2002). Modeling incomplete scaled questionnaire data with a partial credit hierarchical measurement model. Journal of Educational and Behavioral Statistics, 27, 271–289.

    Article  Google Scholar 

  46. Varni, J., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for pediatric quality of life inventory. Medical Care, 37, 126–139.

    Article  CAS  PubMed  Google Scholar 

  47. Varni, J. W., Burwinkle, T. M., Seid, M., & Skarr, D. (2003). The PedsQL™ 4.0 as a pediatric population health measure: Feasibility, reliability, and validity. Ambulatory Pediatrics, 3, 329–341.

    Article  PubMed  Google Scholar 

  48. 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  CAS  PubMed  Google Scholar 

  49. 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.

    Article  PubMed  Google Scholar 

  50. Barrett, L. F., & Barrett, D. J. (2005). ESP, the experience sampling program (Version 4). Boston: GNU Public License.

    Google Scholar 

  51. Grootenhuis, M. A., de Boone, J., & van der Kooi, A. (2007). Living with muscular dystrophy: Health related quality of life consequences for children and adults. Health and Quality of Life Outcomes, 5, 31–39.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Hedeker, D., Mermelstein, R. J., & Flay, B. R. (2006). Application of item response theory models for intensive longitudinal data. In T. A. Walls & J. L. Schafer (Eds.), Models for intensive longitudinal data. New York: Oxford University Press Inc.

    Google Scholar 

  53. Edelen, M. O., & Reeve, B. B. (2007). Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Quality of Life Research, 16, 5–18.

    Article  PubMed  Google Scholar 

  54. Baghaei, P. (2008). The Rasch model as a construct validation tool. Rasch Measurement Transactions, 12, 1145–1146.

    Google Scholar 

  55. Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences (2nd ed.). Mahwah, New York: Lawrence Earlbaum.

    Google Scholar 

  56. Scanlan, J. N., & Bundy, A. C. (2011). Development and validation of the modified occupational questionnaire. American Journal of Occupational Therapy, 65, e11–e19.

    Article  Google Scholar 

  57. Linacre, J. M. (1999). Catergory disordering versus step (threshold) disordering. Rasch Measurement Transactions, 3, 103–122.

    CAS  Google Scholar 

  58. Hektner, J. M., & Csikszentmihalyi, M. (1996). A longitudinal exploration of flow and intrinsic motivation in adolescents. In Annual meeting of the American Educational Research Association. New York: EDRS.

  59. Warren, C. G. (1990). Powered mobility and its implications. Journal of Rehabilitation and Development, 2, 74–85.

    Google Scholar 

  60. Wright, B., & Stone, M. (1999). Measurement essentials (2nd ed.). Wilmington, Delaware: Wide Range Inc.

    Google Scholar 

  61. Linacre, J. M. (2008). A user’s guide to WINSTEPS Ministep Rasch-Model computer programs. Retrieved 20 January 2010. http://www.winsteps.com/aftp/winsteps.pdf.

  62. Portney, L. G., & Watkins, M. P. (2000). Foundations of clinical research: Applications to practice (2nd ed.). New Jersey: Prentice-Hall Inc.

    Google Scholar 

  63. Zimmerman, D. W. (1994). A note on the influence of outliers on parametric and nonparametric tests. Journal of General Psychology, 121, 391–401.

    Article  Google Scholar 

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Acknowledgements

The authors are grateful to the Douglas and Lola Douglas Scholarship, Montrose Access, The Parent Project and United Way Queensland for their kind support. We also wish to thank all the parents and children who participated in this study.

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Correspondence to Paula Bray.

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All authors read and approved the final version of the manuscript. There are no competing interests. This material has not been submitted to any other sources.

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Bray, P., Bundy, A.C., Ryan, M.M. et al. Can in-the-moment diary methods measure health-related quality of life in Duchenne muscular dystrophy?. Qual Life Res 26, 1145–1152 (2017). https://doi.org/10.1007/s11136-016-1442-z

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