1,896
Views
37
CrossRef citations to date
0
Altmetric
Research Articles

Methodology for the development and calibration of the SCI-QOL item banks

, , , , , & show all

References

  • PROMIS. PROMIS Instrument Development and Psychometric Evaluation Scientific Standards 2012; http://www.nihpromis.org/Documents/PROMIS_Standards_050212.pdf. Accessed 12/27/2012.
  • Quatrano LA, Cruz TH. Future of outcomes measurement: impact on research in medical rehabilitation and neurologic populations. Arch Phys Med Rehabil 2011;92(10 Suppl):S7–11.
  • Cella D, Riley W, Stone A, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol 2010;63(11):1179–94.
  • Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Med Care 2007;45(5 Suppl 1):S3–S11.
  • DeWalt DA, Rothrock N, Yount S, Stone AA, Grp PC. Evaluation of item candidates – The PROMIS qualitative item review. Med Care 2007;45(5):S12–S21.
  • Amtmann D, Cook KF, Johnson KL, Cella D. The PROMIS Initiative: involvement of rehabilitation stakeholders in development and examples of applications in rehabilitation research. Arch Phys Med Rehabil 2011;92(10):S12–S19.
  • Reeve BB. Special issues for building computerized-adaptive tests for measuring patient-reported outcomes: the National Institute of Health's investment in new technology. Med Care 2006;44(11 Suppl 3):S198–204.
  • Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, et al. Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Med Care 2007;45(5 Suppl 1):S22–31.
  • Cella D, Nowinski C, Peterman A, Victorson D, Miller D, Lai JS, et al. The Neurology Quality-of-Life Measurement Initiative. Arch Phys Med Rehabil 2011;92(10, Supplement):S28–S36.
  • Tulsky DS, Kisala PA, Victorson D, Tate DG, Heinemann AW, Charlifue S, et al. Overview of the Spinal Cord Injury – Quality of Life (SCI-QOL) measurement system. J Spinal Cord Med 2015;38(3):257–69.
  • Center NSCIS. Spinal Cord Injury Model Systems: 2013 Annual Report, Complete Public Version. Birmingham, Alabama 2013.
  • Tulsky DS, Kisala PA, Victorson D, Tate D, Heinemann AW, Amtmann D, et al. Developing a Contemporary Patient-Reported Outcomes Measure for Spinal Cord Injury. Arch Phys Med Rehabil 2011;92(10):S44–S51.
  • Kisala PA, Tulsky DS. Opportunities for CAT applications in medical rehabilitation: development of targeted item banks. J Appl Meas 2010;11(3):315–30.
  • Tulsky DS, Jette AM, Kisala PA, Kalpakjian D, Dijkers MP, Whiteneck G, et al. Spinal cord injury-functional index: item banks to measure physical functioning in individuals with spinal cord injury. Arch Phys Med Rehabil 2012;93(10):1722–32.
  • Slavin MD, Kisala PA, Jette AM, Tulsky DS. Developing a contemporary functional outcome measure for spinal cord injury research. Spinal Cord 2010;48(3):262–7.
  • Glaser BGS, A.L. The discovery of grounded theory: Strategies for qualitative research. New Brunswick, NJ: Aldine Transaction; 1967.
  • Strauss AC, J. Basics of qualitative research: Techniques and procedures for developing grounded theory. 2nd ed. Thousand Oaks, CA: SAGE Publications; 1998.
  • Jette AM, Tulsky DS, Ni P, Kisala PA, Slavin MD, Dijkers MP, et al. Development and initial evaluation of the spinal cord injury-functional index. Arch Phys Med Rehabil 2012;93(10):1733–50.
  • The LEXILE framework for reading [computer program]. Durham, NC1995.
  • Eremenco SL, Cella D, Arnold BJ. A comprehensive method for the translation and cross-cultural validation of health status questionnaires. Eval Health Prof. 2005;28(2):212–32.
  • Heinemann AW, Magasi S, Hammel J, Carlozzi NE, Garcia SF, Hahn EA, et al. Environmental factors item development for persons with stroke, traumatic brain injury and spinal cord injury. Arch Phys Med Rehabil. 2015;96(4):589–95.
  • Samejima F, van der Liden W, Hambleton R. The graded response model. Handbook of modern item response theory. New York: Springer; 1996:85–100.
  • Reise SP, Yu J. Parameter recovery in the Graded Response Model using MULTILOG. J Educ Meas 1990;27(2):133–44.
  • American Spinal Injury Association. International Standards for Neurological and Functional Classification of Spinal Cord Injury. American Spinal Injury Association, International Spinal Cord Society; 2002.
  • Reeve BB, Hays RD, Chang CH, Perfetto EM. Applying item response theory to enhance health outcomes assessment. Qual Life Res 2007;16:1–3.
  • Bentler PM. Comparative fit indexes in structural models. Psychol Bull 1990;107(2):238–46.
  • Tucker L, Lewis C. A reliability coefficient for maximum likelihood factor analysis. Psychometrika 1973;38(1):1–10.
  • Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equation Model 1999;6(1):1–55.
  • Browne MW, Cudeck R. Alternative ways of assessing model fit. In: Bollen KA, Long JS, (eds.) Testing structural equation models. Newbury Park, CA: Sage; 1993:136–62.
  • Orlando M, Thissen D. Further investigation of the performance of S-X2: An item fit index for use with dichotomous item response theory models. Appl Psychol Meas 2003;27:289–98.
  • Choi SW, Gibbons LE, Crane PK. Lordif: An R Package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and monte carlo simulations. J Stat Softw 2011;39(8):1–30.
  • Stocking ML, FM L. Developing a common metric in item response theory. Appl Psychol Meas. 2983;7(2):201–10.
  • Choi SW, Schalet B, Cook KF, Cella D. Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression. Psychol Assess 2014.
  • Liu H, Cella D, Gershon R, Shen J, Morales LS, Riley W, et al. Representativeness of the patient-reported outcomes measurement information system internet panel. J Clin Epidemiol 2010;63(11):1169–78.
  • Cella D, Gershon R, Lai JS, Choi S. The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment. Qual Life Res 2007;16(Suppl 1):133–41.
  • Gershon R, Rothrock NE, Hanrahan RT, Jansky LJ, Harniss M, Riley W. The development of a clinical outcomes survey research application: Assessment Center. Qual Life Res 2010;19(5):677–85.
  • Choi SW. Firestar: Computerized adaptive testing simulation program for polytomous item response theory models. Appl Psychol Meas 2009;33(8):644–5.
  • Kisala PA, Tulsky DS, Choi SW, Kirshblum SC. Development and psychometric characteristics of the SCI-QOL Pressure Ulcers scale and short form. J Spinal Cord Med 2015;38(3):303–14.
  • Victorson D, Tulsky DS, Kisala PA, Kalpakjian CZ, Weiland B, Choi SW. Measuring resilience after spinal cord injury: Development, validation and psychometric characteristics of the SCI-QOL Resilience item bank and short form. J Spinal Cord Med 2015;38(3):366–76.
  • Kalpakjian CZ, Tate DG, Kisala PA, Tulsky DS. Measuring self-esteem after spinal cord injury: Development, validation and psychometric characteristics of the SCI-QOL Self-esteem item bank and short form. J Spinal Cord Med 2015;38(3):377–85.
  • Heinemann AW, Magasi S, Bode RK, Hammel J, Whiteneck GG, Bogner J, et al. Measuring enfranchisement: importance of and control over participation by people with disabilities. Arch Phys Med Rehabil 2013;94(11):2157–65.
  • Heinemann AW, Dijkers MP, Ni P, Ni P, Tulsky DS, Jette A. Measurement properties of the Spinal Cord Injury-Functional Index (SCI-FI) short forms. Arch Phys Med Rehabil 2014;95(7):1289–97.