Disparities in functional recovery after dysvascular lower limb amputation are associated with employment status and self-efficacy

References

• Solar O, Irwin A. A conceptual framework for action on the social determinants of health. In: Social determinants of health discussion paper 2 (policy and practice). Geneva, Switzerland: World Health Organization; 2010.
   Google Scholar
• National Institute of Minority Health and Health Disparities. Available from: https://www.nimhd.nih.gov/funding/approved-concepts/2021/index.html
   Google Scholar
• Ma VY, Chan L, Carruthers KJ. Incidence, prevalence, costs, and impact on disability of common conditions requiring rehabilitation in the United States: stroke, spinal cord injury, traumatic brain injury, multiple sclerosis, osteoarthritis, rheumatoid arthritis, limb loss, and back pain. Arch Phys Med Rehabil. 2014;95(5):986–995.
   PubMed Web of Science ®Google Scholar
• Armstrong DG, Swerdlow MA, Armstrong AA, et al. Five year mortality and direct costs of care for people with diabetic foot complications are comparable to cancer. J Foot Ankle Surg. 2020;13(1):1–4.
   Google Scholar
• Cieza A, Causey K, Kamenov K, et al. Global estimates of the need for rehabilitation based on the global burden of disease study 2019: a systematic analysis for the global burden of disease study 2019. Lancet. 2021;396(10267):2006–2017.
   PubMed Web of Science ®Google Scholar
• Darter BJ, Hawley CE, Armstrong AJ, et al. Factors influencing functional outcomes and return-to-work after amputation: a review of the literature. J Occup Rehabil. 2018;28(4):656–665.
   PubMed Web of Science ®Google Scholar
• Ziegler-Graham K, MacKenzie EJ, Ephraim PL, et al. Estimating the prevalence of limb loss in the United States: 2005 to 2050. Arch Phys Med Rehabil. 2008;89(3):422–429.
   PubMed Web of Science ®Google Scholar
• Geiss LS, Li Y, Hora I, et al. Resurgence of diabetes-related nontraumatic lower-extremity amputation in the young and Middle-aged adult U.S. population. Diabetes Care. 2019;42(1):50–54.
   PubMed Web of Science ®Google Scholar
• Jayakaran P, Perry M, Hale L. Comparison of self-reported physical activity levels and quality of life between individuals with dysvascular and non-dysvascular belowknee amputation: a cross-sectional study. Disabil Health J. 2019;12(2):235–241.
   PubMed Web of Science ®Google Scholar
• Batten H, Lamont R, Kuys S, et al. What are the barriers and enablers that people with a lower limb amputation experience when walking in the community? Disabil Rehabil. 2020;42(24):3481–3487.
   PubMed Web of Science ®Google Scholar
• Lo J, Chan L, Flynn S. A systematic review of the incidence, prevalence, costs, and activity and work limitations of amputation, osteoarthritis, rheumatoid arthritis, back pain, multiple sclerosis, spinal cord injury, stroke, and traumatic brain injury in the United States: a 2019 update. Arch Phys Med Rehabil. 2021;102(1):115–131.
   PubMed Web of Science ®Google Scholar
• Schoppen T, Boonstra A, Groothoff J, et al. Employment status, job characteristics, and work-related health experience of people with a lower limb amputation in The Netherlands. Arch Phys Med Rehabil. 2001;82(2):239–245.
   PubMed Web of Science ®Google Scholar
• Burger H, Marinček C. Return to work after lower limb amputation. Disabil Rehabil. 2007;29(17):1323–1329.
   PubMed Web of Science ®Google Scholar
• MacKenzie EJ, Bosse MJ, Kellam JF, et al. Early predictors of long-term work disability after major limb trauma. J Trauma. 2006;61(3):688–694.
   PubMedGoogle Scholar
• Armstrong AJ, Hawley CE, Darter BJ, et al. Operation enduring freedom and operation Iraqi freedom veterans with amputation: an exploration of resilience, employment and individual characteristics. JVR. 2018;48(2):167–175.
   Google Scholar
• Clemens SM, Gailey RS, Bennett CL, et al. The component Timed-Up-and-Go test: the utility and psychometric properties of using a mobile application to determine prosthetic mobility in people with lower limb amputations. Clin Rehabil. 2018;32(3):388–397.
   PubMed Web of Science ®Google Scholar
• Balk EM, Gazula A, Markozannes G, et al. Lower limb prostheses: measurement instruments, comparison of component effects by subgroups, and long-term outcomes. Rockville (MD): Agency for Healthcare Research and Quality (US); 2018.
   Google Scholar
• A practical manual for using the International Classification of Functioning, Disability and Health (ICF). World Health Organization; 2013. Available from: http://www.who.int/classifications/drafticfpracticalmanual2.pdf?ua=1
   Google Scholar
• Gailey R, Clemens S, Sorensen J, et al. Variables that influence basic prosthetic mobility in people with non-vascular lower limb amputation. Pm R. 2020;12(2):130–139.
   PubMedGoogle Scholar
• Radhakrishnan S, Kohler F, Gutenbrunner C, et al. The use of the international classification of functioning, disability and health to classify the factors influencing mobility reported by persons with an amputation: an international study. Prosthet Orthot Int. 2017;41(4):412–419.
   PubMed Web of Science ®Google Scholar
• Research Electronic Data Capture (REDCap). Vanderbilt University. Available from: https://www.project-redcap.org/
   Google Scholar
• Podsiadlo D, Richardson S. The timed “up & go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142–148.
   PubMed Web of Science ®Google Scholar
• Carse B, Scott H, Davie-Smith F, et al. Minimal clinically important difference in walking velocity, gait profile score, and two minute walk test for individuals with lower limb amputation. Gait Posture. 2021;88:221–224.
   PubMed Web of Science ®Google Scholar
• Gaunaurd I, Kristal A, Horn A, et al. The utility of the 2-minute walk test as a measure of mobility in people with lower limb amputation. Arch Phys Med Rehabil. 2020;101(7):1183–1189.
   PubMed Web of Science ®Google Scholar
• Hafner BJ, Gaunaurd IA, Morgan SJ, et al. Construct validation of the prosthetic limb users survey of mobility (plus-M). Arch Phys Med Rehabil. 2017;98(2):277–285.
   PubMed Web of Science ®Google Scholar
• Prosthetic Limb Users Survey of Mobility (PLUS-M). Available from: http://plus-m.org/
   Google Scholar
• Patient-reported outcomes measurement information system. U.S. Department of Health and Human Services. Available from: https://www.healthmeasures.net/explore-measurement-systems/promis
   Google Scholar
• Groll DL, To T, Bombardier C, et al. The development of a comorbidity index with physical function as the outcome. J Clin Epidemiol. 2005;58(6):595–602.
   PubMed Web of Science ®Google Scholar
• Heinemann AW, Magasi S, Hammel J, et al. Environmental factors item development for persons with stroke, traumatic brain injury, and spinal cord injury. Arch Phys Med Rehabil. 2015;96(4):589–595.
   PubMed Web of Science ®Google Scholar
• Lai JS, Hammel J, Jerousek S, et al. An item bank to measure systems, services, and policies: environmental factors affecting people with disabilities. Arch Phys Med Rehabil. 2016;97(12):2102–2112.
   PubMed Web of Science ®Google Scholar
• Razali NM, Wah YB. Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling test. J Stat Model Anal. 2011;2(1):21–33.
   Google Scholar
• Sullivan GM, Feinn R. Using effect size-or why the p value is not enough. J Grad Med Educ. 2012;4(3):279–282.
   PubMedGoogle Scholar
• Schoppen T, Boonstra A, Groothoff JW, et al. Physical, mental, and social predictors of functional outcome in unilateral lower-limb amputees. Arch Phys Med Rehabil. 2003;84(6):803–811.
   PubMed Web of Science ®Google Scholar
• Miller MJ, Jones J, Anderson CB, et al. Factors influencing participation in physical activity after dysvascular amputation: a qualitative meta-synthesis. Disabil Rehabil. 2019;41(26):3141–3150.
   PubMed Web of Science ®Google Scholar
• Laerd Statistics. Available from: https://statistics.laerd.com/premium/spss/pbc/point-biserial-correlation-in-spss.php
   Google Scholar
• Sawers A, Hafner BJ. Using clinical balance tests to assess fall risk among established unilateral lower limb prosthesis users: cutoff scores and associated validity indices. Pm R. 2020;12(1):16–25.
   PubMedGoogle Scholar
• Hawkins EJ, Riddick W. Reliability, validity, and responsiveness of clinical performance-based outcome measures of walking for individuals with lower limb amputations: a systematic review. Phys Ther. 2018;98(12):1037–1045.
   PubMed Web of Science ®Google Scholar
• Langford J, Dillon MP, Granger CL, et al. Physical activity participation amongst individuals with lower limb amputation. Disabil Rehabil. 2019;41(9):1063–1070.
   PubMed Web of Science ®Google Scholar
• Boersema HJ, Hoekstra T, Abma F, et al. Inability to work fulltime, prevalence and associated factors among applicants for work disability benefit. J Occup Rehabil. 2021;31(4):796–806.
   PubMed Web of Science ®Google Scholar
• Lee SP, Chien LC, Chin T, et al. Financial difficulty in community-dwelling persons with lower limb loss is associated with reduced self-perceived health and wellbeing. Prosthet Orthot Int. 2020;44(5):290–297.
   PubMed Web of Science ®Google Scholar
• Sions JM, Beisheim EH, Seth M. Selecting, administering, and interpreting outcome measures among adults with lower-limb loss: an update for clinicians. Curr Phys Med Rehab Rep. 2020;3:1–8.
   Google Scholar
• Möller S, Hagberg K, Samulesson K, et al. Perceived self-efficacy and specific self-reported outcomes in persons with lower-limb amputation using a non-microprocessor-controlled versus a microprocessor-controlled prosthetic knee. Disabil Rehabil Assist Technol. 2018;13(3):220–225.
   PubMed Web of Science ®Google Scholar
• Bezner JR, Held Bradford EC. Integrating health promotion and wellness into neurorehabilitation. In: Lazaro RT, Reina-Guerra SG, Quiben M, editors. Umphred’s neurological rehabilitation. Amsterdam, Netherlands: Elsevier Health Sciences; 2019.
   Google Scholar