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Psychometric evaluation of the pediatric and parent-proxy Patient-Reported Outcomes Measurement Information System and the Neurology and Traumatic Brain Injury Quality of Life measurement item banks in pediatric traumatic brain injury

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Abstract

Purpose

The primary objective is to provide evidence of convergent and discriminant validity for the pediatric and parent-proxy versions of the Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety, Depression, Anger, Peer Relations, Mobility, Pain Interference, and Fatigue item banks, the Neurology Quality of Life measurement system (Neuro-QOL) Cognition-General Concerns and Stigma item banks, and the Traumatic Brain Injury Quality of Life (TBI-QOL) Executive Function and Headache item banks in a pediatric traumatic brain injury (TBI) sample.

Methods

Participants were 134 parent–child (ages 8–18 years) days. Children all sustained TBI and the dyads completed outcome ratings 6 months after injury at one of six medical centers across the United States. Ratings included PROMIS, Neuro-QOL, and TBI-QOL item banks, as well as the Pediatric Quality of Life inventory (PedsQL), the Health Behavior Inventory (HBI), and the Strengths and Difficulties Questionnaire (SDQ) as legacy criterion measures against which these item banks were validated.

Results

The PROMIS, Neuro-QOL, and TBI-QOL item banks demonstrated good convergent validity, as evidenced by moderate to strong correlations with comparable scales on the legacy measures. PROMIS, Neuro-QOL, and TBI-QOL item banks showed weaker correlations with ratings of unrelated constructs on legacy measures, providing evidence of discriminant validity.

Conclusion

Our results indicate that the constructs measured by the PROMIS, Neuro-QOL, and TBI-QOL item banks are valid in our pediatric TBI sample and that it is appropriate to use these standardized scores for our primary study analyses.

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Abbreviations

CAT:

Computer Adaptive Test

CDC:

Centers for Disease Control and Prevention

GCS:

Glasgow Coma Scale

HRQOL:

Health-related quality of life

IRB:

Institutional Review Board

IRT:

Item response theory

NEURO-QOL:

Neurology Quality of Life (measurement system)

PedsQL:

Pediatric Quality of Life (outcome measure)

PRO:

Patient-reported outcomes

PROMIS:

Patient-Reported Outcomes Measurement Information System

SF:

Short form

TBI:

Traumatic brain injury

TBI-QOL:

Traumatic Brain Injury Quality of Life

References

  1. Rivara, F. P., Koepsell, T. D., Wang, J., et al. (2012). Incidence of disability among children 12 months after traumatic brain injury. American Journal of Public Health, 102(11), 2074–2079.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Rivara, F. P., Vavilala, M. S., Durbin, D., et al. (2012). Persistence of disability 24 to 36 months after pediatric traumatic brain injury: A cohort study. Journal of Neurotrauma, 29(15), 2499–2504.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Rivara, F. P., Koepsell, T. D., Wang, J., et al. (2011). Disability 3, 12, and 24 months after traumatic brain injury among children and adolescents. Pediatrics, 128(5), e1129–e1138.

    Article  PubMed  Google Scholar 

  4. Stanley, R. M., Bonsu, B. K., Zhao, W., Ehrlich, P. F., Rogers, A. J., & Xiang, H. (2012). US estimates of hospitalized children with severe traumatic brain injury: Implications for clinical trials. Pediatrics, 129(1), e24–e30.

    Article  PubMed  Google Scholar 

  5. Cella, D., Yount, S., Rothrock, N., 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(5 Suppl 1), S3–S11.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Fries, J. F., Bruce, B., & Cella, D. (2005). The promise of PROMIS: Using item response theory to improve assessment of patient-reported outcomes. Clinical and Experimental Rheumatology, 23(5), 53–57.

    Google Scholar 

  7. Whyte, J., Vasterling, J., & Manley, G. T. (2010). Common data elements for research on traumatic brain injury and psychological health: Current status and future development. Archives of Physical Medicine and Rehabilitation, 91(11), 1692–1696.

    Article  PubMed  Google Scholar 

  8. Wilde, E. A., Whiteneck, G. G., Bogner, J., et al. (2010). Recommendations for the use of common outcome measures in traumatic brain injury research. Archives of Physical Medicine and Rehabilitation, 91(11), 1650–1660.

    Article  PubMed  Google Scholar 

  9. DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007). Evaluation of item candidates: The PROMIS qualitative item review. Medical Care, 45(5 Suppl 1), S12–S21.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Gershon, R. C., Rothrock, N., Hanrahan, R., Bass, M., & Cella, D. (2010). The use of PROMIS and assessment center to deliver patient-reported outcome measures in clinical research. Journal of Applied Measurement, 11(3), 304–314.

    PubMed  PubMed Central  Google Scholar 

  11. Carle, A. C., Cella, D., Cai, L., et al. (2011). Advancing PROMIS’s methodology: Results of the third patient-reported outcomes measurement information system (PROMIS(R)) Psychometric Summit. Expert review of pharmacoeconomics & outcomes. Research, 11(6), 677–684.

    Google Scholar 

  12. Broderick, J. E., DeWitt, E. M., Rothrock, N., Crane, P. K., & Forrest, C. B. (2013). Advances in patient-reported outcomes: The NIH PROMIS((R)) measures. EGEMS (Washington, DC), 1(1), 1015.

    Google Scholar 

  13. Cella, D., Riley, W., Stone, A., et al. (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Schalet, B. D., Revicki, D. A., Cook, K. F., Krishnan, E., Fries, J. F., & Cella, D. (2015). Establishing a common metric for physical function: Linking the HAQ-DI and SF-36 PF subscale to PROMIS((R)) physical function. Journal of General Internal Medicine, 30(10), 1517–1523.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Irwin, D. E., Stucky, B., Langer, M. M., et al. (2010). An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Quality of Life Research, 19(4), 595–607.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Irwin, D. E., Stucky, B. D., Langer, M. M., et al. (2012). PROMIS pediatric anger scale: An item response theory analysis. Quality of Life Research, 21(4), 697–706.

    Article  PubMed  Google Scholar 

  17. Bevans, K. B., Gardner, W., Pajer, K., Riley, A. W., & Forrest, C. B. (2013). Qualitative development of the PROMIS(R) pediatric stress response item banks. Journal of Pediatric Psychology, 38(2), 173–191.

    Article  PubMed  Google Scholar 

  18. Reeve BB, Thissen D, DeWalt DA, et al. Linkage between the PROMIS pediatric and adult emotional distress measures. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation. 2015.

  19. Dewalt, D. A., Thissen, D., Stucky, B. D., et al. (2013). PROMIS Pediatric Peer Relationships Scale: Development of a peer relationships item bank as part of social health measurement. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association, 32(10), 1093–1103.

    Article  Google Scholar 

  20. Lai, J. S., Stucky, B. D., Thissen, D., et al. (2013). Development and psychometric properties of the PROMIS((R)) pediatric fatigue item banks. Quality of Life Research. An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 22(9), 2417–2427.

    Article  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  22. Jacobson, C. J. Jr., Kashikar-Zuck, S., Farrell, J., et al. (2015). Qualitative evaluation of pediatric pain behavior, quality, and intensity item candidates and the PROMIS pain domain framework in children with chronic pain. The Journal of Pain : Official Journal of The American Pain Society, 16(12), 1243–1255.

    Article  Google Scholar 

  23. Jacobson, C. J., Farrell, J. E., Kashikar-Zuck, S., Seid, M., Verkamp, E., & Dewitt, E. M. (2013). Disclosure and self-report of emotional, social, and physical health in children and adolescents with chronic pain—a qualitative study of PROMIS pediatric measures. Journal of Pediatric Psychology, 38(1), 82–93.

    Article  PubMed  Google Scholar 

  24. Kashikar-Zuck S, Carle A, Barnett K, et al. Longitudinal evaluation of patient reported outcomes measurement information systems (PROMIS) measures in pediatric chronic pain. Pain. 2015.

  25. Irwin, D. E., Stucky, B. D., Thissen, D., et al. (2010). Sampling plan and patient characteristics of the PROMIS pediatrics large-scale survey. Quality of Life Research, 19(4), 585–594.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Yeatts, K. B., Stucky, B., Thissen, D., et al. (2010). Construction of the pediatric asthma impact scale (PAIS) for the patient-reported outcomes measurement information system (PROMIS). Journal of Asthma, 47(3), 295–302.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Quinn, H., Thissen, D., Liu, Y., et al. (2014). Using item response theory to enrich and expand the PROMIS(R) pediatric self report banks. Health and Quality of Life Outcomes, 12, 160.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Ravens-Sieberer, U., Devine, J., Bevans, K., et al. (2014). Subjective well-being measures for children were developed within the PROMIS project: Presentation of first results. Journal of Clinical Epidemiology, 67(2), 207–218.

    Article  PubMed  Google Scholar 

  29. Tucker, C. A., Bevans, K. B., Teneralli, R. E., Smith, A. W., Bowles, H. R., & Forrest, C. B. (2014). Self-reported pediatric measures of physical activity, sedentary behavior, and strength impact for PROMIS: Conceptual framework. Pediatric Physical Therapy: The Official Publication of the Section on Pediatrics of the American Physical Therapy Association, 26(4), 376–384.

    Article  Google Scholar 

  30. Tucker, C. A., Bevans, K. B., Teneralli, R. E., Smith, A. W., Bowles, H. R., & Forrest, C. B. (2014). Self-reported pediatric measures of physical activity, sedentary behavior, and strength impact for PROMIS: Item development. Pediatric Physical Therapy : The Official Publication of the Section on Pediatrics of the American Physical Therapy Association, 26(4), 385–392.

    Article  Google Scholar 

  31. DeWitt, E. M., Stucky, B. D., Thissen, D., 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(7), 794–804.

    Article  PubMed  PubMed Central  Google Scholar 

  32. DeWalt, D. A., Gross, H. E., Gipson, D. S., et al. (2015). PROMIS((R)) pediatric self-report scales distinguish subgroups of children within and across six common pediatric chronic health conditions. Quality of Life Research. An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 24(9), 2195–2208.

    Article  Google Scholar 

  33. Thissen, D., Liu, Y., Magnus, B., et al. (2016). Estimating minimally important difference (MID) in PROMIS pediatric measures using the scale-judgment method. Quality of Life Research. An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 25(1), 13–23.

    Article  Google Scholar 

  34. Varni, J. W., Magnus, B., Stucky, B. D., et al. (2014). Psychometric properties of the PROMIS (R) pediatric scales: Precision, stability, and comparison of different scoring and administration options. Quality of Life Research. An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 23(4), 1233–1243.

    Article  Google Scholar 

  35. Howell CR, Gross HE, Reeve BB, DeWalt DA, & Huang IC (2016). known-groups validity of the patient-reported outcomes measurement information system (PROMIS) in adolescents and young adults with special healthcare needs. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 25(7), 1815–1823.

    Article  Google Scholar 

  36. Gipson, D. S., Selewski, D. T., Massengill, S. F., 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  PubMed Central  Google Scholar 

  37. Hinds, P. S., Nuss, S. L., Ruccione, K. S., 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 

  38. Liu, Y., Wang, J., Hinds, P. S., et al. (2015). The emotional distress of children with cancer in China: An item response analysis of C-Ped-PROMIS anxiety and depression short forms. Quality of Life Research. An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 24(6), 1491–1501.

    Article  Google Scholar 

  39. Selewski, D. T., Collier, D. N., MacHardy, J., 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  PubMed Central  Google Scholar 

  40. Kratz, A. L., Slavin, M. D., Mulcahey, M. J., Jette, A. M., Tulsky, D. S., & Haley, S. M. (2013). An examination of the PROMIS((R)) pediatric instruments to assess mobility in children with cerebral palsy. Quality of Life Research, 22(10), 2865–2876.

    Article  PubMed  Google Scholar 

  41. Mulcahey MJ, Haley SM, Slavin MD, et al. (2015). Ability of PROMIS pediatric measures to detect change in children with cerebral palsy undergoing musculoskeletal surgery. Journal of Pediatric Orthopedics. 36(7), 749–756.

    Article  Google Scholar 

  42. Centers for Disease Control and Prevention (2016). Injury prevention and control: Traumatic brain injury http://www.cdc.gov/TraumaticBrainInjury/index.html. Accessed Feb, 2016.

  43. Cella D, Nowinski C, Peterman A, et al. The neurology quality-of-life measurement initiative. Archives of Physical Medicine and Rehabilitation. 2011;92(10, Supplement):S28–S36.

  44. Gershon, R. C., Lai, J. S., Bode, R., et al. (2012). Neuro-QOL: Quality of life item banks for adults with neurological disorders: Item development and calibrations based upon clinical and general population testing. Quality of Life Research, 21(3), 475–486.

    Article  PubMed  Google Scholar 

  45. Lai, J. S., Nowinski, C., Victorson, D., et al. (2012). Quality-of-life measures in children with neurological conditions: Pediatric Neuro-QOL. Neurorehabilitation and Neural Repair, 26(1), 36–47.

    Article  PubMed  Google Scholar 

  46. Cella D (2010) Investigators N-Q. Neuro-QOL Technical Report.

  47. Lai, J. S., Nowinski, C. J., Zelko, F., et al. (2015). Validation of the Neuro-QoL measurement system in children with epilepsy. Epilepsy & Behavior: E&B, 46, 209–214.

    Article  Google Scholar 

  48. Tulsky, D. S., Kisala, P. A., Victorson, D., et al. (2016). TBI-QOL: Development and calibration of item banks to measure patient reported outcomes following traumatic brain injury. Journal of Head Trauma Rehabilitation, 31(1), 40–51.

    Article  PubMed  Google Scholar 

  49. Zonfrillo, M. R., Durbin, D. R., Koepsell, T. D., et al. (2014). Prevalence of and risk factors for poor functioning after isolated mild traumatic brain injury in children. Journal of Neurotrauma, 31(8), 722–727.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Green, L., Godfrey, C., Soo, C., Anderson, V., & Catroppa, C. (2012). Agreement between parent-adolescent ratings on psychosocial outcome and quality-of-life following childhood traumatic brain injury. Developmental Neurorehabilitation, 15(2), 105–113.

    Article  PubMed  Google Scholar 

  51. Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the pediatric quality of life inventory. Medical Care, 37(2), 126–139.

    Article  CAS  PubMed  Google Scholar 

  52. 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(8), 800–812.

    Article  CAS  PubMed  Google Scholar 

  53. Varni, J. W., Seid, M., Knight T. S., Uzark K., Szer I. S. (2002).The PedsQL 4.0 Generic core scales: Sensitivity, responsiveness, and impact on clinical decision-making. Journal of Behavioral Medicine, 25(2), 175–193.

    Article  PubMed  Google Scholar 

  54. 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  PubMed Central  Google Scholar 

  55. Mano, K. E. J., Khan, K. A., Ladwig, R. J., & Weisman, S. J. (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  Google Scholar 

  56. McCarthy, M. L., MacKenzie, E. J., Durbin, D. R., et al. (2005). The pediatric quality of life inventory: An evaluation of its reliability and validity for children with traumatic brain injury. Archives of Physical Medicine and. Rehabilitation, 86(10), 1901–1909.

    Google Scholar 

  57. Swanson, J. O., Vavilala, M. S., Wang, J., et al. (2012). Association of initial CT findings with quality-of-life outcomes for traumatic brain injury in children. Pediatric Radiology, 42(8), 974–981.

    Article  PubMed  Google Scholar 

  58. de Kloet, A. J., Lambregts, S. A., Berger, M. A., van Markus, F., Wolterbeek, R., & Vliet Vlieland, T. P. (2015). Family impact of acquired brain injury in children and youth. Journal of Developmental and Behavioral Pediatrics: JDBP, 36(5), 342–351.

    Article  PubMed  Google Scholar 

  59. Limond J, Dorris L, & McMillan TM.(2009) Quality of life in children with acquired brain injury: Parent perspectives 1–5 years after injury. Brain Injury : [BI]. 23(7):617–622.

    Article  Google Scholar 

  60. Ayr, L. K., Yeates, K. O., Taylor, H. G., & Browne, M. (2009). Dimensions of postconcussive symptoms in children with mild traumatic brain injuries. Journal of the International Neuropsychological Society, 15(1), 19–30.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 40(11), 1337–1345.

    Article  CAS  Google Scholar 

  62. Brooks B. L., Kadoura B., Turley B., Crawford S., Mikrogianakis A., & Barlow K. M. (2014) Perception of recovery after pediatric mild traumatic brain injury is influenced by the “good old days” bias: Tangible implications for clinical practice and outcomes research. Archives of Clinical Neuropsychology : The Official Journal of the National Academy of Neuropsychologists. 29(2), 186–193.

    Article  Google Scholar 

  63. Iverson, G. L., Lange, R. T., Brooks, B. L., & Rennison, V. L. (2010). “Good old days” bias following mild traumatic brain injury. The Clinical Neuropsychologist, 24(1), 17–37.

    Article  PubMed  Google Scholar 

  64. Thissen, D., Varni, J. W., Stucky, B. D., Liu, Y., Irwin, D. E., & Dewalt, D. A. (2011). Using the PedsQL 3.0 asthma module to obtain scores comparable with those of the PROMIS pediatric asthma impact scale (PAIS). Quality of Life Research. An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 20(9), 1497–1505.

    Article  Google Scholar 

  65. Centers for Disease Control and Prevention (1999). TBI in the United States: A report to congress. Atlanta: CDC.

    Google Scholar 

  66. Marr AL, & Coronado VG. (2004) Central Nervous System Injury Surveillance Data Submission Standards—2002. Atlanta: CDC, NCIPC;.

    Google Scholar 

  67. Faul M, & Xu L (2010) Wald MM, Coronado VG. Traumatic Brain Injury in the United States, Emergency Department Visits, Hospitalizations and Deaths, 2002–2006. Atlanta: CDC.

    Google Scholar 

  68. Carroll L. J., Cassidy J. D., Holm L., Kraus J., Coronado V. G. & Injury WHOCCTFoMTB (2004). Methodological issues and research recommendations for mild traumatic brain injury: The WHO collaborating centre task force on mild traumatic brain injury. Journal of Rehabilitation Medicine (43 Suppl):113–125.

  69. Fay, T. B., Yeates, K. O., Taylor, H. G., et al. (2010). Cognitive reserve as a moderator of postconcussive symptoms in children with complicated and uncomplicated mild traumatic brain injury. Journal of the International Neuropsychological Society, 16(1), 94–105.

    Article  PubMed  Google Scholar 

  70. Lange, R. T., Iverson, G. L., & Franzen, M. D. (2009). Neuropsychological functioning following complicated vs. uncomplicated mild traumatic brain injury. Brain Injury, 23(2), 83–91.

    Article  PubMed  Google Scholar 

  71. Centers for Disease Control and Prevention (2003) National Center for Injury Prevention and Control. Report to congress on mild traumatic brain injury in the US: Steps to prevent a serious public health problem. Atlanta.

  72. Gershon, R., Rothrock, N. E., Hanrahan, R. T., Jansky, L. J., Harniss, M., & Riley, W. (2010). The development of a clinical outcomes survey research application: Assessment Center. Quality of Life Research, 19(5), 677–685.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6(1), 109–127.

    PubMed  Google Scholar 

  74. Organization PH. PROMIS Domain Framework. http://www.nihpromis.org/measures/domainframework2 Accessed 2/24/2016.

  75. (NINDS) NIoNDaS (2015) Manual for the Quality of Life in Neurological Disorders (Neuro-QOL) Measures, Version 2.0.

  76. Goodman, R., Ford, T., Simmons, H., Gatward, R., & Meltzer, H. (2000). Using the strengths and difficulties questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. The British Journal of Psychiatry : The Journal of Mental Science, 177, 534–539.

    Article  CAS  Google Scholar 

  77. Carlsson, M., Olsson, I., Hagberg, G., & Beckung, E. (2008). Behaviour in children with cerebral palsy with and without epilepsy. Developmental Medicine & Child Neurology, 50(10), 784–789.

    Article  Google Scholar 

  78. Clover, A. (2006). SPARCLE–a multi-centre European study of the relationship of environment to participation and quality of life in children with cerebral palsy. MBMC Public health, 6, 105.

    Article  Google Scholar 

  79. Johnson, H., Wiggs, L., Stores, G., & Huson, S. M. (2005). Psychological disturbance and sleep disorders in children with neurofibromatosis type 1. Developmental Medicine &amp. Child Neurology, 47(4), 237–242.

    Article  Google Scholar 

  80. Olsson, G. M., Marild, S., Alm, J., Brodin, U., Rydelius, P. A., & Marcus, C. (2008). The adolescent adjustment profile (AAP) in comparisons of patients with obesity, phenylketonuria or neurobehavioural disorders. Nordic Journal of Psychiatry, 62(1), 66–76.

    Article  PubMed  Google Scholar 

  81. Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38(5), 581–586.

    Article  CAS  PubMed  Google Scholar 

  82. van de Looij-Jansen, P. M., Goedhart, A. W., de Wilde, E. J., & Treffers, P. D. (2010). Confirmatory factor analysis and factorial invariance analysis of the adolescent self-report strengths and difficulties questionnaire: How important are method effects and minor factors? British Journal of Clinical Psychology, 50(2), 127–144.

    Article  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  84. Campbell DTF, D. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.

    Article  Google Scholar 

  85. Weaver, B., & Wuensch, K. L. (2013). SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients. Behavior Research Methods, 45(3), 880–895.

    Article  PubMed  Google Scholar 

  86. Stroke NIoNDa (2014). NINDS Common Data elements: Project overview. http://www.commondataelements.ninds.nih.gov/doc/projectreview/NINDS_CDE_Overview.pdf. Accessed 26 Oct 2014.

  87. Hunt, K. J., Alexander, I., Baumhauer, J., Brodsky, J., Chiodo, C., Daniels, T., et al. (2014) The orthopaedic foot and ankle outcomes research (OFAR) network: Feasibility of a multicenter network for patient outcomes assessment in foot and ankle. Foot & Ankle International, 35, 847–854.

    Article  Google Scholar 

  88. Ho, B., Houck, J. R., Flemister, A. S., Ketz, J., Oh, I., DiGiovanni, B. F. et al.(2016). Preoperative PROMIS Scores predict postoperative success in foot and ankle patients. Foot & Ankle International, 37, 911–918.

    Article  Google Scholar 

  89. Hung, M., Baumhauer, J. F., Brodsky, J. W., Cheng, C., Ellis, S. J., Franklin, J. D., et al. (2014). Psychometric comparison of the promis physical function CAT With the FAAM and FFI for measuring patient-reported outcomes. Foot & ankle international, 35, 592–599.

    Article  Google Scholar 

  90. Hung, M., Baumhauer, J, F., Latt, L, D., Saltzman, C, L., SooHoo, N, F., Hunt, K. J. et al. (2013). Validation of PROMIS ® physical function computerized adaptive tests for orthopaedic foot and ankle outcome research. Clinical Orthopaedics & Related Research. 471, 3466–3474.

    Article  Google Scholar 

  91. Papuga, M. O., Mesfin, A., Molinari, R., & Rubery, P. T. (2016). Correlation of PROMIS physical function and pain cat instruments with Oswestry disability index and neck disability index in spine patients. Spine, 15, 1153–1159.

    Article  Google Scholar 

  92. Wagner, L. I., Schink, J., Bass, M., et al. (2015). Bringing PROMIS to practice: Brief and precise symptom screening in ambulatory cancer care. Cancer, 121(6), 927–934.

    Article  PubMed  Google Scholar 

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Acknowledgements

This project was funded by the United States Centers for Disease Control and Prevention, Grant Number U01CE002196. The authors would like to thank Marni Levy and Natalie Jenkins for their dedicated efforts in acquiring the data described in this manuscript.

Author contributions

All the authors contributed significantly to the design, analysis, and writing of this manuscript. The contents represent the original work and have not been published elsewhere.

Author information

Authors and Affiliations

  1. NYU Rusk Rehabilitation, New York University School of Medicine, 240 East 38th Street, Suite 17-72, New York, NY, 10016, USA

    Hilary Bertisch

  2. Departments of Pediatrics and Epidemiology, Harborview Injury Prevention and Research Center, University of Washington, Seattle Children’s Research Institute, Seattle, WA, USA

    Frederick P. Rivara

  3. Center on Assessment Research and Translation, Department of Physical Therapy, University of Delaware, Newark, DE, USA

    Pamela A. Kisala

  4. Harborview Injury Prevention and Research Center, University of Washington, Seattle, WA, USA

    Jin Wang

  5. Department of Psychology, Hotchkiss Brain Institute and Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB, USA

    Keith Owen Yeates

  6. Department of Pediatrics, The Children’s Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    Dennis Durbin

  7. Department of Emergency Medicine, Hasbro Children’s Hospital, Alpert Medical School of Brown University, Providence, RI, USA

    Mark R. Zonfrillo

  8. Critical Care Medicine, Neurological Surgery and Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA

    Michael J. Bell

  9. Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA, USA

    Nancy Temkin

  10. Center on Assessment Research and Translation, Departments of Physical Therapy and Psychological and Brain Sciences, University of Delaware, Newark, DE, USA

    David S. Tulsky

  11. Kessler Foundation, West Orange, NJ, USA

    David S. Tulsky

Authors
  1. Hilary Bertisch
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  2. Frederick P. Rivara
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  3. Pamela A. Kisala
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  4. Jin Wang
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  5. Keith Owen Yeates
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  6. Dennis Durbin
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  7. Mark R. Zonfrillo
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  8. Michael J. Bell
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  9. Nancy Temkin
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  10. David S. Tulsky
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Corresponding author

Correspondence to Hilary Bertisch.

Ethics declarations

Conflict of interest

This study was funded by the Centers for Disease Control and Prevention (Grant Number U01CE002196). The authors have no financial disclosures related to this project. Dr. David Tulsky serves on the board of the PROMIS Health Organization but does not receive compensation or royalties related to this role. No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the authors or upon any organization with which the authors are associated.

Ethical approval

Institutional Review Board (IRB) approval was attained at each of the local recruitment sites [University of Washington (Harborview Medical Center/Seattle Children’s Hospital), Nationwide Children’s Hospital, The Children’s Hospital of Philadelphia, University of Pittsburgh Medical Center’s Children’s Hospital of Pittsburgh, Children’s Healthcare of Atlanta, and Texas Children’s Hospital] and at NYU School of Medicine prior to study initiation. Parental consent and child assent (for those who were younger than age 18 at recruitment) were attained from all individual participants included at each local recruitment site prior to enrollment. Children who turned 18 during the course of this study provided informed consent as adults prior to further participation in study procedures.

Research involving human and animal rights

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent/assent was obtained from all individuals included in the study.

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Bertisch, H., Rivara, F.P., Kisala, P.A. et al. Psychometric evaluation of the pediatric and parent-proxy Patient-Reported Outcomes Measurement Information System and the Neurology and Traumatic Brain Injury Quality of Life measurement item banks in pediatric traumatic brain injury. Qual Life Res 26, 1887–1899 (2017). https://doi.org/10.1007/s11136-017-1524-6

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  • DOI: https://doi.org/10.1007/s11136-017-1524-6

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