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PROMIS® pediatric self-report scales distinguish subgroups of children within and across six common pediatric chronic health conditions

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Abstract

Purpose

To conduct a comparative analysis of eight pediatric self-report scales for ages 8–17 years from the National Institutes of Health (NIH) Patient Reported Outcomes Measurement Information System (PROMIS®) in six pediatric chronic health conditions, using indicators of disease severity.

Methods

Pediatric patients (N = 1454) with asthma, cancer, chronic kidney disease, obesity, rheumatic disease, and sickle cell disease completed items from the PROMIS pediatric mobility, upper extremity functioning, depressive symptoms, anxiety, anger, peer relationships, pain interference, and fatigue self-report scales. Comparisons within the six pediatric chronic health conditions were conducted by examining differences in groups based on the disease severity using markers of severity that were specific to characteristics of each disease. A comparison was also made across diseases between children who had been recently hospitalized and those who had not.

Results

In general, there were differences in self-reported health outcomes within each chronic health condition, with patients who had higher disease severity showing worse outcomes. Across health conditions, when children with recent hospitalizations were compared with those who had not been hospitalized in the past 6 months, we found significant differences in the expected directions for all PROMIS domains, except anger.

Conclusions

PROMIS measures discriminate between different clinically meaningful subgroups within several chronic illnesses. Further research is needed to determine the responsiveness of the PROMIS pediatric scales to change over time.

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Abbreviations

PROMIS® :

Patient Reported Outcomes Measurement Information System

NIH:

National Institutes of Health

References

  1. Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Medical Care, 45(Suppl 1), S3–S11.

    Article  PubMed Central  PubMed  Google Scholar 

  2. Irwin, D. E., Stucky, B. D., Thissen, D., DeWitt, E. M., Lai, J. S., Yeatts, K., et al. (2010). Sampling plan and patient characteristics of the PROMIS pediatrics large-scale survey. Quality of Life Research, 19, 585–594.

    Article  PubMed Central  PubMed  Google Scholar 

  3. Irwin, D. E., Stucky, B. D., Langer, M. M., Thissen, D., DeWitt, E. M., Lai, J. S., et al. (2010). An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Quality of Life Research, 19, 595–607.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Varni, J. W., Stucky, B. D., Thissen, D., DeWitt, E. M., Irwin, D. E., Lai, J. S., et al. (2010). PROMIS pediatric pain interference scale: An item response theory analysis of the pediatric pain item bank. Journal of Pain, 11, 1109–1119.

    Article  PubMed Central  PubMed  Google Scholar 

  5. DeWitt, E. M., Stucky, B. D., Thissen, D., Irwin, D. E., Langer, M., Varni, J. W., et al. (2011). Construction of the eight-item patient-reported outcomes measurement information system pediatric physical function scales: Built using item response theory. Journal of Clinical Epidemiology, 64, 794–804.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Irwin, D. E., Stucky, B. D., Langer, M. M., Thissen, D., DeWitt, E. M., Lai, J. S., et al. (2012). PROMIS pediatric anger scale: An item response theory analysis. Quality of Life Research, 21, 697–706.

    Article  PubMed Central  PubMed  Google Scholar 

  7. DeWalt, D. A., Thissen, D., Stucky, B. D., Langer, M. M., DeWitt, E. M., Irwin, D. E., Lai, J. S., Yeatts, K. B., Gross, H. E., Taylor, O., & Varni, J. W. (in press). PROMIS pediatric peer relationships scale: Development of a peer relationships item bank as part of social health measurement. Health Psychology.

  8. Lai, J. S., Stucky, B. D., Thissen, D., Varni, J. W., DeWitt, E. M., Irwin, D. E., Yeatts, K. B., & Dewalt, D. A. (in press). Development and psychometric properties of the PROMIS® pediatric fatigue item banks. Quality of Life Research.

  9. Walsh, T. R., Irwin, D. E., Meier, A., Varni, J. W., & DeWalt, D. A. (2008). The use of focus groups in the development of the PROMIS pediatrics item bank. Quality of Life Research, 17, 725–735.

    Article  PubMed Central  PubMed  Google Scholar 

  10. Irwin, D. E., Varni, J. W., Yeatts, K., & DeWalt, D. A. (2009). Cognitive interviewing methodology in the development of a pediatric item bank: A patient reported outcomes measurement information system (PROMIS) study. Health and Quality of Life Outcomes, 7(3), 1–10.

    Google Scholar 

  11. Reise, S. P., & Waller, N. G. (2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology, 5, 27–48.

    Article  PubMed  Google Scholar 

  12. Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah: Erlbaum.

    Google Scholar 

  13. Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). Impaired health-related quality of life in children and adolescents with chronic conditions: A comparative analysis of 10 disease clusters and 33 disease categories/severities utilizing the PedsQL™ 4.0 generic core scales. Health and Quality of Life Outcomes, 5(43), 1–15.

    Article  PubMed Central  PubMed  Google Scholar 

  14. 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(3), 485–494.

    Article  Google Scholar 

  15. Sung, L., Klaassen, R. J., Dix, D., Pritchard, S., Yanofsky, R., Dzolganovski, B., et al. (2009). Identification of paediatric cancer patients with poor quality of life. British Journal of Cancer, 100(1), 82–88.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  16. Weissberg-Benchell, J., Nansel, T., Holmbeck, G., Chen, R., Anderson, B., Wysocki, T., Laffel, L., & Steering Committee of the Family Management of Diabetes, S. (2009). Generic and diabetes-specific parent-child behaviors and quality of life among youth with type 1 diabetes. Journal of Pediatric Psychology, 34(9), 977–988.

    Article  Google Scholar 

  17. Gerson, A. C., Wentz, A., Abraham, A. G., Mendley, S. R., Hooper, S. R., Butler, R. W., et al. (2010). Health-related quality of life of children with mild to moderate chronic kidney disease. Pediatrics, 125(2), e349–e357.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Tsiros, M. D., Olds, T., Buckley, J. D., Grimshaw, P., Brennan, L., Walkley, J., et al. (2009). Health-related quality of life in obese children and adolescents. International Journal of Obesity (London), 33(4), 387–400.

    Article  CAS  Google Scholar 

  19. Hinds, P. S., Nuss, S. L., Ruccione, K. S., Withycombe, J. S., Jacobs, S., Deluca, H., et al. (2013). PROMIS pediatric measures in pediatric oncology: Valid and clinically feasible indicators of patient-reported outcomes. Pediatric Blood & Cancer, 60(3), 402–408.

    Article  Google Scholar 

  20. Gipson, D. S., Selewski, D. T., Massengill, S. F., Wickman, L., Messer, K. L., Herreshoff, E., et al. (2013). Gaining the PROMIS perspective from children with nephrotic syndrome: a Midwest pediatric nephrology consortium study. Health and quality of life outcomes, 11, 30.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Selewski, D. T., Collier, D. N., MacHardy, J., Gross, H. E., Pickens, E. M., Cooper, A. W., et al. (2013). Promising insights into the health related quality of life for children with severe obesity. Health and quality of life outcomes, 11, 29.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Liu, A. H., Zeiger, R., Sorkness, C., Mahr, T., Ostrom, N., Burgess, S., et al. (2007). Development and cross-sectional validation of the childhood asthma control test. Journal of Allergy and Clinical Immunology, 119, 817–825.

    Article  PubMed  Google Scholar 

  23. Menard, J. C., Hinds, P. S., Jacobs, S. S., Cranston, K., Wang, J., DeWalt, D. A., & Gross, H. E. (2014). Feasibility and acceptability of the patient-reported outcomes measurement information system measures in children and adolescents in active cancer treatment and survivorship. Cancer Nursing, 37(1), 66–74.

    Article  PubMed  Google Scholar 

  24. Schwartz, G. J., Haycock, G. B., Edelmann, C. M., & Spitzer, A. (1976). A simple estimate of glomerular filtration rate in children derived from body length and plasma creatinine. Pediatrics, 58, 259–263.

    CAS  PubMed  Google Scholar 

  25. Singh, G., Athreya, B. H., Fries, J. F., & Goldsmith, D. P. (1994). Measurement of health status in children with juvenile rheumatoid arthritis. Arthritis and Rheumatism, 37, 1761–1769.

    Article  CAS  PubMed  Google Scholar 

  26. Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the patient-report outcomes measurement information system (PROMIS). Medical Care, 45(suppl 1), S22–S31.

    Article  PubMed  Google Scholar 

  27. Cai, L. (2010). Metropolis–Hastings Robbins–Monro algorithm for confirmatory item factor analysis. Journal of Educational and Behavioral Statistics, 35, 307–335.

    Article  Google Scholar 

  28. Cai, L., Thissen, D., & du Toit, S. H. C. (2011). IRTPRO for windows [Computer software]. Scientific Software International: Lincolnwood.

    Google Scholar 

  29. Everhart, R. S., & Fiese, B. H. (2009). Asthma severity and child quality of life in pediatric asthma: A systematic review. Patient Education and Counseling, 75, 162–168.

    Article  PubMed  Google Scholar 

  30. Juniper, E. F., Guyatt, G. H., Feeny, D. H., Ferrie, P. J., Griffith, L. E., & Townsend, M. (1996). Measuring quality of life in children with asthma. Quality of Life Research, 5, 35–46.

    Article  CAS  PubMed  Google Scholar 

  31. Ji, Y., Chen, S., Li, K., Xiao, N., Yang, X., Zheng, S., & Xiao, X. (2011). Measuring health-related quality of life in children with cancer living in mainland China: Feasibility, reliability and validity of the Chinese Mandarin version of PedsQL 4.0 generic core scales and 3.0 cancer module. Health and Quality of Life Outcomes, 9, 103.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Bhatia, S., Jenney, M. E. M., Wu, E., Bogue, M. K., Rockwood, T. H., Feusner, J. H., et al. (2004). The Minneapolis–Manchester quality of life instrument: Reliability and validity of the youth form. Journal of Pediatrics, 145, 39–46.

    Article  PubMed  Google Scholar 

  33. Eiser, C., Hill, J. J., & Vance, Y. H. (2000). Examining the psychological consequences of surviving childhood cancer: Systematic review as a research method in pediatric psychology. Journal of Pediatric Psychology, 25, 449–460.

    Article  CAS  PubMed  Google Scholar 

  34. Zeltzer, L. K., Lu, Q., Leisenring, W., Tsao, J. C., Recklitis, C., Armstrong, G., et al. (2008). Psychosocial outcomes and health-related quality of life in adult childhood cancer survivors: a report from the childhood cancer survivor study. Cancer Epidemiol Biomarkers Prevention, 17(2), 435–446.

    Article  Google Scholar 

  35. Zebrack, B. J., & Chesler, M. A. (2002). Quality of life in childhood cancer survivors. Psychooncology, 11(2), 132–141.

    Article  PubMed  Google Scholar 

  36. Gerson, A. C., Wentz, A., Abraham, A. G., Mendley, S. R., Hooper, S. R., Butler, R. W., et al. (2010). Health-related quality of life of children with mild to moderate chronic kidney disease. Pediatrics, 125, e349–e357.

    Article  PubMed Central  PubMed  Google Scholar 

  37. Heath, J., Mackinlay, D., Watson, A. R., Hames, A., Wirz, L., Scott, S., et al. (2011). Self-reported quality of life in children and young people with chronic kidney disease. Pediatric Nephrology, 26, 767–773.

    Article  PubMed  Google Scholar 

  38. Schwimmer, J. B., Burwinkle, T. M., & Varni, J. W. (2003). Health-related quality of life of severely obese children and adolescents. JAMA, 289, 1813–1819.

    Article  PubMed  Google Scholar 

  39. Williams, J., Wake, M., Hesketh, K., Maher, E., & Waters, E. (2005). Health-related quality of life of overweight and obese children. JAMA, 293, 70–76.

    Article  CAS  PubMed  Google Scholar 

  40. 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.

    Article  PubMed  Google Scholar 

  41. Ul-Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2013). Meta-analysis of the association between body mass index and health-related quality of life among children and adolescents, assessed using the pediatric quality of life inventory index. Journal of Pediatrics, 162, 280–286.

    Article  PubMed  Google Scholar 

  42. 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.

    Article  PubMed  Google Scholar 

  43. Seid, M., Opipari, L., Huange, B., Brunner, H. I., & Lovell, D. J. (2009). Disease control and health-related quality of life in juvenile idiopathic arthritis. Arthritis and Rheumatism, 61, 393–399.

    Article  PubMed  Google Scholar 

  44. Ringold, S., Wallace, C. A., & Rivara, F. P. (2009). Health-related quality of life, physical function, fatigue, and disease activity in children with established polyarticular juvenile idiopathic arthritis. Journal of Rheumatology, 36, 1330–1336.

    Article  PubMed  Google Scholar 

  45. 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.

    Article  Google Scholar 

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Acknowledgments

PROMIS® was funded with cooperative agreements from the National Institutes of Health (NIH) Common Fund Initiative (Northwestern University, PI: David Cella, Ph.D., U54AR057951, U01AR052177; Northwestern University, PI: Richard C. Gershon, Ph.D., U54AR057943; American Institutes for Research, PI: Susan (San) D. Keller, Ph.D., U54AR057926; State University of New York, Stony Brook, PIs: Joan E. Broderick, Ph.D. and Arthur A. Stone, Ph.D., U01AR057948, U01AR052170; University of Washington, Seattle, PIs: Heidi M. Crane, MD, MPH, Paul K. Crane, MD, MPH, and Donald L. Patrick, Ph.D., U01AR057954; University of Washington, Seattle, PI: Dagmar Amtmann, Ph.D., U01AR052171; University of North Carolina, Chapel Hill, PI: Harry A. Guess, MD, Ph.D. (deceased), Darren A. DeWalt, MD, MPH, U01AR052181; Children’s Hospital of Philadelphia, PI: Christopher B. Forrest, MD, Ph.D., U01AR057956; Stanford University, PI: James F. Fries, MD, U01AR052158; Boston University, PIs: Alan Jette, PT, Ph.D., Stephen M. Haley, Ph.D. (deceased), and David Scott Tulsky, Ph.D. (University of Michigan, Ann Arbor), U01AR057929; University of California, Los Angeles, PIs: Dinesh Khanna, MD (University of Michigan, Ann Arbor) and Brennan Spiegel, MD, MSHS, U01AR057936; University of Pittsburgh, PI: Paul A. Pilkonis, Ph.D., U01AR052155; Georgetown University, PIs: Carol. M. Moinpour, Ph.D. (Fred Hutchinson Cancer Research Center, Seattle) and Arnold L. Potosky, Ph.D., U01AR057971; Children’s Hospital Medical Center, Cincinnati, PI: Esi M. Morgan DeWitt, MD, MSCE, U01AR057940; University of Maryland, Baltimore, PI: Lisa M. Shulman, MD, U01AR057967; and Duke University, PI: Kevin P. Weinfurt, Ph.D., U01AR052186). NIH Science Officers on this project have included Deborah Ader, Ph.D., Vanessa Ameen, MD (deceased), Susan Czajkowski, Ph.D., Basil Eldadah, MD, Ph.D., Lawrence Fine, MD, Dr PH, Lawrence Fox, MD, Ph.D., Lynne Haverkos, MD, MPH, Thomas Hilton, Ph.D., Laura Lee Johnson, Ph.D., Michael Kozak, Ph.D., Peter Lyster, Ph.D., Donald Mattison, MD, Claudia Moy, Ph.D., Louis Quatrano, Ph.D., Bryce Reeve, Ph.D., William Riley, Ph.D., Peter Scheidt, MD, Ashley Wilder Smith, Ph.D., MPH, Susana Serrate-Sztein, MD, William Phillip Tonkins, DrPH, Ellen Werner, Ph.D., Tisha Wiley, Ph.D., and James Witter, MD, Ph.D.. The contents of this article use data developed under PROMIS. These contents do not necessarily represent an endorsement by the US Federal Government or PROMIS. See www.nihpromis.org for additional information on the PROMIS® initiative.

Conflict of interest

Dr. DeWalt was an unpaid member of the Board of Directors for the PROMIS Health Organization during the conduct of this study. The remaining authors have no financial relationships or conflicts of interest relevant to this study to disclose.

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Correspondence to Darren A. DeWalt.

Appendix

Appendix

See Table 5.

Table 5 Sampling plan for cancer, kidney disease, obesity, rheumatic disease, and sickle cell disease

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DeWalt, D.A., Gross, H.E., Gipson, D.S. et al. PROMIS® pediatric self-report scales distinguish subgroups of children within and across six common pediatric chronic health conditions. Qual Life Res 24, 2195–2208 (2015). https://doi.org/10.1007/s11136-015-0953-3

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