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Quality of Life Research
Erschienen in: Quality of Life Research 9/2015

01.09.2015

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

verfasst von: Darren A. DeWalt, Heather E. Gross, Debbie S. Gipson, David T. Selewski, Esi Morgan DeWitt, Carlton D. Dampier, Pamela S. Hinds, I-Chan Huang, David Thissen, James W. Varni

Erschienen in: Quality of Life Research | Ausgabe 9/2015

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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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Literatur
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.
11.
Reise, S. P., & Waller, N. G. (2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology, 5, 27–48.PubMedCrossRef
12.
Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah: Erlbaum.
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.PubMedCentralPubMedCrossRef
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.CrossRef
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.PubMedCentralPubMedCrossRef
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.CrossRef
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.PubMedCentralPubMedCrossRef
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.CrossRef
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.CrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMed
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.PubMedCrossRef
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.PubMedCrossRef
27.
Cai, L. (2010). Metropolis–Hastings Robbins–Monro algorithm for confirmatory item factor analysis. Journal of Educational and Behavioral Statistics, 35, 307–335.CrossRef
28.
Cai, L., Thissen, D., & du Toit, S. H. C. (2011). IRTPRO for windows [Computer software]. Scientific Software International: Lincolnwood.
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.CrossRef
35.
Zebrack, B. J., & Chesler, M. A. (2002). Quality of life in childhood cancer survivors. Psychooncology, 11(2), 132–141.PubMedCrossRef
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.PubMedCentralPubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.PubMedCrossRef
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.CrossRef
Metadaten
Titel
PROMIS® pediatric self-report scales distinguish subgroups of children within and across six common pediatric chronic health conditions
verfasst von
Darren A. DeWalt
Heather E. Gross
Debbie S. Gipson
David T. Selewski
Esi Morgan DeWitt
Carlton D. Dampier
Pamela S. Hinds
I-Chan Huang
David Thissen
James W. Varni
Publikationsdatum
01.09.2015
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 9/2015
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-015-0953-3

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