The Lower Limb Amputee Measurement Scale: Reliability and predictive validity

References

• Bond J. Power Calculator [Online computer program]. 2002, Available from: http://calculators.stat.ucla.edu/powercalc
   Google Scholar
• Bonner F J, Yang L, Bonner W. Transfers from a hospital-based rehabilitation unit caused by medical complications. Am J Phys Med Rehabil 1996; 75: 384–386
   PubMed Web of Science ®Google Scholar
• Dillingam T R, Pezzin L E, MacKenzie E J. Limb amputation and limb deficiency: Epidemiology and recent trends in the United States. South Med J 2002; 95: 875–883
   PubMed Web of Science ®Google Scholar
• Donner A, Eliasziw M. Sample size requirements for reliability studies. Stat Med 1987; 6: 441–448
   PubMed Web of Science ®Google Scholar
• Ephraim P L, Dillingam T R, Sector M, Pezzin L E, MacKenzie E J. Epidemiology of limb loss and congenital limb deficiency: A review of the literature. Arch Phys Med Rehabil 2003; 84: 747–761
   PubMed Web of Science ®Google Scholar
• Fletcher D D, Andrews K L, Hallett J W, Butters M A, Rowland C M, Jacobsen S J. Trends in rehabilitation after amputation for geriatric patients with vascular disease: implications for future health resource allocation. Arch Phys Med Rehabil 2002; 83: 1389–1393
   PubMed Web of Science ®Google Scholar
• Franchignoni F, Orlandini D, Ferriero G, Moscato T A. Reliability, validity, and responsiveness of the locomotor capabilities index in adults with lower-limb amputation undergoing prosthetic training. Arch Phys Med Rehabil 2004; 85: 743–748
   PubMed Web of Science ®Google Scholar
• Heinemann A W, Linacre J M, Wright B D, Hamilton B B, Granger C. Prediction of rehabilitation outcomes with disability measures. Arch Phys Med Rehabil 1994; 75: 133–143
   PubMed Web of Science ®Google Scholar
• Johnston M V, Wood K D, Fiedler R. Characteristics of effective and efficient rehabilitation programs. Arch Phys Med Rehabil 2003; 84: 410–418
   PubMed Web of Science ®Google Scholar
• Larner S, van Ross E, Hale C. Do psychological measures predict the ability of lower limb amputees to learn to use a prosthesis?. Clin Rehabil 2003; 17: 493–498
   PubMed Web of Science ®Google Scholar
• Leung E CC, Rush P J, Devlin M. Predicting prosthetic rehabilitation outcome in lower limb amputee patients with the functional independence measure. Arch Phys Med Rehabil 1996; 77: 605–608
   PubMed Web of Science ®Google Scholar
• Masedo A I, Hanley M, Jensen M P, Ehde D, Cardenas D D. Reliability and validity of a self-report FIM (FIM-SR) in persons with amputation or spinal cord injury and chronic pain. Arch Phys Med Rehabil 2005; 84: 167–176
   Google Scholar
• Meikle B, Devlin M, Garfinkel S. Interruptions to amputee rehabilitation. Arch Phys Med Rehabil 2002; 83: 1222–1228
   PubMed Web of Science ®Google Scholar
• Muecke L, Shekar S, Dwyer D, Israel E, Flynn J PG. Functional screening of lower-limb amputees. Arch Phys Med Rehabil 1992; 73: 851–858
   PubMed Web of Science ®Google Scholar
• Muller R, Buttner P. A critical discussion of intraclass correlation coefficients. Stat Med 1994; 36: 2465–2476
   Web of Science ®Google Scholar
• Munin M C, Espejo-De Guzman M C, Boninger M L, Fitzgerald S G, Penrod L E, Singh J. Predictive factors for successful early prosthetic ambulation among lower-limb amputees. J Rehabil Res Dev 2001; 38: 379–384
   PubMed Web of Science ®Google Scholar
• Norman G R, Streiner D L. Biostatistics: The bare essentials2nd ed. B.C. Decker Inc., Hamilton, ON 2000
   Google Scholar
• Palumbo P, Melton L, III. Peripheral vascular disease and diabetes. Diabetes in America, M Harris, C Cowie, M Stern, E Boyko, G Reiber, P Bennett. Department of Health and Human Services, Washington, DC 1995
   Google Scholar
• Panesar B S, Morrison P, Hunter J. A comparison of three measures of progress in early lower limb amputee rehabilitation. Clin Rehabil 2001; 15: 157–171
   PubMed Web of Science ®Google Scholar
• Portney L G, Watkins M P. Foundations of clinical research, application for practice2nd ed. Prentice Hall, Upper Saddle River, NJ 2000
   Google Scholar
• Roth E J, Lovell L, Harvey R L, Heinemann A W, Semik P, Diaz S. Incidence of and risk factors for medical complications during stroke rehabilitation. Stroke 2001; 32: 523–529
   PubMed Web of Science ®Google Scholar
• Shrout P E, Fleiss J L. Interclass correlations: uses in assessing rater reliability. Psychol Bull 1979; 86: 420–428
   PubMed Web of Science ®Google Scholar
• Siegler E L, Stineman M G, Maislin G. Development of complications during rehabilitation. Arch Intern Med 1994; 154: 2185–2190
   PubMedGoogle Scholar
• Stineman M G, Williams S V. Predicting inpatient rehabilitation length of stay. Arch Phys Med Rehabil 1990; 71: 881–887
   PubMed Web of Science ®Google Scholar
• Streiner D L, Norman G R. Health measurement scales: a practical guide to their development and use3rd ed. Oxford University Press, Oxford, UK 2003
   Google Scholar
• Traballesi M, Brunelli S, Pratesi L, Pulcini M, Angioni C, Paclucci S. Prognostic factors in rehabilitation of above knee amputees for vascular disease. Disabil Rehabil 1998; 20: 380–384
   PubMed Web of Science ®Google Scholar
• Wright R E, Rao N, Smith R M, Harvey R F. Risk factors for death and emergency transfer in acute and subacute inpatient rehabilitation. Arch Phys Med Rehabil 1996; 77: 1049–1055
   PubMed Web of Science ®Google Scholar