Psychometric evaluation of self-report outcome
measures for prosthetic applications
Brian J. Hafner, PhD, et al.
Health surveys are well suited to measuring outcomes
in people with lower-limb loss. Surveys allow
patients to provide their views on their health and the
care they receive. Information obtained from health
surveys must be reliable so that it can guide clinical
decisions. Results of this research can help clinicians
select surveys best suited to prosthesis users and can
aid clinicians in understanding the information that
surveys provide about prosthesis users??? health and
Volume 53 Number 6, 2016
Pages 797 — 812
Contents Vol. 53, No. 6
This article and any supplementary material should be cited as follows:
Hafner BJ, Morgan SJ, Askew RL, Salem R. Psychometric evaluation of self-report outcome measures for prosthetic applications. J Rehabil Res Dev. 2016;53(6):797–812.
Abbreviations:ABC = Activities-Specific Balance Confidence Scale, CI = confidence interval, DIF = differential item function, ICC = intraclass correlation coefficient, MDC = minimum detectable change, MGCFA = multigroup confirmatory factor analysis, MoA = mode of administration, NQ-ACGC = Quality of Life in Neurological Conditions–Applied Cognition/General Concerns, PEQ-MS = Prosthesis Evaluation Questionnaire–Mobility Subscale, PLUS-M = Prosthetic Limb Users Survey of Mobility, PROMIS = Patient-Reported Outcomes Measurement Information System, PROMIS-29 = PROMIS 29-Item Profile, SCS = Socket Comfort Score, SD = standard deviation, SEM = standard error of measurement.
*Address all correspondence to Brian J. Hafner, PhD; University of Washington, Department of Rehabilitation Medicine, 1959 NE Pacific St, Box 356490, Seattle, WA 98195; 206-685-4048. Email: firstname.lastname@example.org
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Last Reviewed or Updated Thursday, January 19, 2017 12:12 PM