Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 7/2017

07-03-2017

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

Auteurs: Hilary Bertisch, Frederick P. Rivara, Pamela A. Kisala, Jin Wang, Keith Owen Yeates, Dennis Durbin, Mark R. Zonfrillo, Michael J. Bell, Nancy Temkin, David S. Tulsky

Gepubliceerd in: Quality of Life Research | Uitgave 7/2017

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

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.
vorige artikel The Weiss Functional Impairment Rating Scale-Parent Form for assessing ADHD: evaluating diagnostic accuracy and determining optimal thresholds using ROC analysis
volgende artikel The Cancer Loneliness Scale and Cancer-related Negative Social Expectations Scale: development and validation
Literatuur
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.CrossRefPubMedPubMedCentral
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.CrossRefPubMedPubMedCentral
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.CrossRefPubMed
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.CrossRefPubMed
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.CrossRefPubMedPubMedCentral
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.
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.CrossRefPubMed
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.CrossRefPubMed
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.CrossRefPubMedPubMedCentral
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.PubMedPubMedCentral
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.
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.
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.CrossRefPubMedPubMedCentral
15.
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.CrossRefPubMedPubMedCentral
16.
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.CrossRefPubMedPubMedCentral
17.
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.CrossRefPubMed
18.
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.CrossRefPubMed
19.
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.
20.
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.CrossRef
21.
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.CrossRef
22.
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.CrossRefPubMedPubMedCentral
23.
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.CrossRef
24.
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.CrossRefPubMed
25.
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.
26.
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.CrossRefPubMedPubMedCentral
27.
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.CrossRefPubMedPubMedCentral
28.
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.CrossRefPubMedPubMedCentral
29.
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.CrossRefPubMed
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: Conceptual framework. Pediatric Physical Therapy: The Official Publication of the Section on Pediatrics of the American Physical Therapy Association, 26(4), 376–384.CrossRef
31.
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.CrossRef
32.
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.CrossRefPubMedPubMedCentral
33.
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.CrossRef
34.
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.CrossRef
35.
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.CrossRef
36.
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.CrossRef
37.
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.CrossRefPubMedPubMedCentral
38.
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.CrossRef
39.
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.CrossRef
40.
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.CrossRefPubMedPubMedCentral
41.
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.CrossRefPubMed
42.
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.CrossRef
43.
44.
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.
45.
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.CrossRefPubMed
46.
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.CrossRefPubMed
47.
Cella D (2010) Investigators N-Q. Neuro-QOL Technical Report.
48.
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.CrossRef
49.
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.CrossRefPubMed
50.
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.CrossRefPubMedPubMedCentral
51.
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.CrossRefPubMed
52.
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.CrossRefPubMed
53.
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.CrossRefPubMed
54.
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.CrossRefPubMed
55.
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.CrossRefPubMedPubMedCentral
56.
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.CrossRef
57.
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.
58.
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.CrossRefPubMed
59.
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.CrossRefPubMed
60.
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.CrossRef
61.
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.CrossRefPubMedPubMedCentral
62.
Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 40(11), 1337–1345.CrossRef
63.
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.CrossRef
64.
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.CrossRefPubMed
65.
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.CrossRef
66.
Centers for Disease Control and Prevention (1999). TBI in the United States: A report to congress. Atlanta: CDC.
67.
Marr AL, & Coronado VG. (2004) Central Nervous System Injury Surveillance Data Submission Standards—2002. Atlanta: CDC, NCIPC;.
68.
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.
69.
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.
70.
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.CrossRefPubMed
71.
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.CrossRefPubMed
72.
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.
73.
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.CrossRefPubMedPubMedCentral
74.
Gershon, R. C. (2005). Computer adaptive testing. Journal of Applied Measurement, 6(1), 109–127.PubMed
75.
76.
(NINDS) NIoNDaS (2015) Manual for the Quality of Life in Neurological Disorders (Neuro-QOL) Measures, Version 2.0.
77.
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.CrossRef
78.
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.CrossRef
79.
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.CrossRef
80.
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.CrossRef
81.
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.CrossRefPubMed
82.
Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38(5), 581–586.CrossRefPubMed
83.
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.CrossRef
84.
85.
Campbell DTF, D. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.CrossRef
86.
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.CrossRefPubMed
87.
88.
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.CrossRef
89.
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.CrossRef
90.
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.CrossRef
91.
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.CrossRef
92.
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.CrossRef
93.
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.CrossRefPubMed
Metagegevens
Titel
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
Auteurs
Hilary Bertisch
Frederick P. Rivara
Pamela A. Kisala
Jin Wang
Keith Owen Yeates
Dennis Durbin
Mark R. Zonfrillo
Michael J. Bell
Nancy Temkin
David S. Tulsky
Publicatiedatum
07-03-2017
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 7/2017
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-017-1524-6

Andere artikelen Uitgave 7/2017

Quality of Life Research 7/2017 Naar de uitgave

OriginalPaper

Understanding burden of illness for child growth hormone deficiency

OriginalPaper

Examining health-related quality of life patterns in women with breast cancer

OriginalPaper

Gender-related differences in the multi-pathway effect of social determinants on quality of life in older age—the COURAGE in Europe project

OriginalPaper

Associations of adipose and muscle tissue parameters at colorectal cancer diagnosis with long-term health-related quality of life

OriginalPaper

Executive function as a mediator in the link between single or complex trauma and posttraumatic stress in children and adolescents

OriginalPaper

Comparing effects between music intervention and aromatherapy on anxiety of patients undergoing mechanical ventilation in the intensive care unit: a randomized controlled trial