Confirmatory Factor Analyses and Differential Item Functioning of the Patient Experience with Treatment and Self-Management (PETS vs. 2.0): A Measure of Treatment Burden

References

• Eton DT, Ridgeway JL, Egginton JS, et al. Finalizing a measurement framework for the burden of treatment in complex patients with chronic conditions. Patient Relat Outcome Meas. 2015;6:117–126. doi:10.2147/PROM.S78955
   PubMedGoogle Scholar
• Eton DT, Yost KJ, Lai JS, et al. Development and validation of the patient experience with treatment and self-management (PETS): a patient-reported measure of treatment burden. Qual Life Res. 2017;26:489–503. doi:10.1007/s11136-016-1397-0
   PubMed Web of Science ®Google Scholar
• Rocca WA, Yawn BP, St Sauver JL, et al. History of the Rochester epidemiology project: half a century of medical records linkage in a US population. Mayo Clin Proc. 2012;87:1202–1213. doi:10.1016/j.mayocp.2012.08.012
   PubMed Web of Science ®Google Scholar
• St Sauver JL, Grossardt BR, Yawn BP, et al. Data resource profile: the Rochester epidemiology project (REP) medical records-linkage system. Int J Epidemiol. 2012;41:1614–1624. doi:10.1093/ije/dys195
   PubMed Web of Science ®Google Scholar
• Goodman RA, Posner SF, Huang ES, et al. Defining and measuring chronic conditions: imperatives for research, policy, program, and practice. Prev Chronic Dis. 2013;10:E66. doi:10.5888/pcd10.120239
   PubMed Web of Science ®Google Scholar
• U.S. Department of Health and Human Services. Multiple Chronic Conditions – A Strategic Framework: Optimum Health and Quality of Life for Individuals with Multiple Chronic Conditions. Washington, DC; December 2010.
   Google Scholar
• Chew LD, Griffin JM, Partin MR, et al. Validation of screening questions for limited health literacy in a large VA outpatient population. J Gen Intern Med. 2008;23:561–566. doi:10.1007/s11606-008-0520-5
   PubMed Web of Science ®Google Scholar
• Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6:1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Arnau RC. Second-order factor analysis: methods and interpretation. Southwestern Psychological Association. New Orleans, LA: ERIC Document Reproduction Service ED 417 216; 1998.
   Google Scholar
• Eton DT, Anderson RT, Cohn WF, et al. Risk factors for poor health-related quality of life in cancer survivors with multiple chronic conditions: exploring the role of treatment burden as a mediator. Patient Relat Outcome Meas. 2019;10:89–99. doi:10.2147/PROM.S191480
   Web of Science ®Google Scholar
• Schwartz CE, Zhang J, Michael W, et al. Reserve-building activities attenuate treatment burden in chronic illness: the mediating role of appraisal and social support. Health Psychol Open. 2018;5:2055102918773440. doi:10.1177/2055102918773440
   Web of Science ®Google Scholar
• Chalmers P. mirt: A multidimensional item response theory package for the R environment. J Stat Softw. 2012;48:1–29. doi:10.18637/jss.v048.i06
   Web of Science ®Google Scholar
• Cai L, Hansen M. Limited-information goodness-of-fit testing of hierarchical item factor models. Br J Math Stat Psychol. 2013;66:245–276. doi:10.1111/j.2044-8317.2012.02050.x
   PubMed Web of Science ®Google Scholar
• Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociol Methods Res. 1992;21:230–258. doi:10.1177/0049124192021002005
   Web of Science ®Google Scholar
• Muller RO, Hancock GR. Best practices in structural equation modeling. In: Osborne J, editor. Best Practices in Quantitative Methods. Thousand Oaks, CA: Sage; 2008:488–508.
   Google Scholar
• McDonald RP. Test Theory: A Unified Treatment. Mahwah, NJ: Lawrence Erlbaum Associates; 1999.
   Google Scholar
• Reise SP. Invited paper: the rediscovery of bifactor measurement models. Multivariate Behav Res. 2012;47:667–696. doi:10.1080/00273171.2012.715555
   PubMed Web of Science ®Google Scholar
• Lai JS, Butt Z, Wagner L, et al. Evaluating the dimensionality of perceived cognitive function. J Pain Symptom Manage. 2009;37:982–995. doi:10.1016/j.jpainsymman.2008.07.012
   PubMed Web of Science ®Google Scholar
• Lai JS, Crane PK, Cella D. Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Qual Life Res. 2006;15:1179–1190. doi:10.1007/s11136-006-0060-6
   PubMed Web of Science ®Google Scholar
• 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;39:1–30. doi:10.18637/jss.v039.i08
   PubMed Web of Science ®Google Scholar
• Condon DM, Chapman R, Shaunfield S, et al. Does recall period matter? Comparing PROMIS physical function with no recall, 24-hr recall, and 7-day recall. Qual Life Res. 2020;29:745–753. doi:10.1007/s11136-019-02344-0
   Web of Science ®Google Scholar
• Taple BJ, Griffith JW, Wolf MS. Interview administration of PROMIS depression and anxiety short forms. Health Lit Res Pract. 2019;6:3196–e204.
   Google Scholar
• Teresi JA, Ocepek-Welikson K, Kleinman M, et al. Analysis of differential item functioning in the depression item bank from the patient reported outcome measurement information system (PROMIS): an item response theory approach. Psychol Sci Q. 2009;51:148–180.
   PubMedGoogle Scholar
• Frost MH, Reeve BB, Liepa AM, et al. What is sufficient evidence for the reliability and validity of patient-reported outcome measures? Value Health. 2007;10(Suppl 2):S94–S105. doi:10.1111/j.1524-4733.2007.00272.x
   PubMed Web of Science ®Google Scholar
• Streiner DL, Norman GR. Health Measurement Scales: A Practical Guide to Their Development and Use. 4th ed. Oxford: Oxford University Press; 2008.
   Google Scholar
• Qin S, Nelson L, McLeod L, et al. Assessing test-retest reliability of patient-reported outcome measures using intraclass correlation coefficients: recommendations for selecting and documenting the analytical formula. Qual Life Res. 2019;28:1029–1033. doi:10.1007/s11136-018-2076-0
   PubMed Web of Science ®Google Scholar
• Husebo AML, Morken IM, Eriksen KS, Nordfonn OK. The patient experience with treatment and self-management (PETS) questionnaire: translation and cultural adaption of the Norwegian version. BMC Med Res Methodol. 2018;18:147. doi:10.1186/s12874-018-0612-9
   Web of Science ®Google Scholar
• Duncan P, Murphy M, Man MS, et al. Development and validation of the multimorbidity treatment burden questionnaire (MTBQ). BMJ Open. 2018;8:e019413.
   PubMed Web of Science ®Google Scholar
• Tran VT, Montori VM, Eton DT, et al. Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions. BMC Med. 2012;10:68. doi:10.1186/1741-7015-10-68
   PubMed Web of Science ®Google Scholar
• Eton DT, Ramalho de Oliveira D, Egginton JS, et al. Building a measurement framework of burden of treatment in complex patients with chronic conditions: a qualitative study. Patient Relat Outcome Meas. 2012;3:39–49. doi:10.2147/PROM.S34681
   PubMedGoogle Scholar
• Eton DT, Lee MK, St Sauver JL, Anderson RT. Known-groups validity and responsiveness to change of the patient experience with treatment and self-management (PETS vs. 2.0): a patient-reported measure of treatment burden. Qual Life Res. 2020;29:3143–3154. doi:10.1007/s11136-020-02546-x
   Web of Science ®Google Scholar