Impact of osteoarthritis on the rehabilitation of patients following a stroke

Arthritis Care and Research

Volumn 53, Issue 3, 2005, Pages 383-387

  Nguyen Oghalai, Tracy U ^a,c   Ottenbacher, Kenneth J ^a   Granger, Carl V ^b   Goodwin, James S ^a  

^a UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

^c University of Texas Medical Branch School of Medicine   (United States)

Author keywords

Osteoarthritis; Public policy; Rehabilitation; Resource allocation; Stroke

Indexed keywords

AGED; ARTICLE; COHORT ANALYSIS; FEMALE; FOLLOW UP; FUNCTIONAL ASSESSMENT; HEALTH CARE POLICY; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MULTIPLE REGRESSION; OSTEOARTHRITIS; OUTCOMES RESEARCH; PREDICTION; RATING SCALE; REGISTER; REHABILITATION CENTER; RESOURCE ALLOCATION; RETROSPECTIVE STUDY; SCORING SYSTEM; STROKE;

AGED; CEREBROVASCULAR ACCIDENT; COHORT STUDIES; FEMALE; HUMANS; LENGTH OF STAY; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; OSTEOARTHRITIS; RETROSPECTIVE STUDIES;

EID: 20444387612     PISSN: 21514658     EISSN: None     Source Type: Journal    
DOI: 10.1002/art.21166     Document Type: Article

References (29)

1. Kisler JP, Ropper AA, Martin JB. Cerebrovascular diseases. In: Wilson JD, Braunwald E, Isselbacher KJ, Petersdorf RG, Martin JB, Fauci AS, et al, editors. Harrison's principles of internal medicine. 12th ed. New York: McGraw-Hill, Inc.; 1991. p. 1977-87.
2. Fried LP, Bandeen-Roche K, Kasper JD, Guralnik JM. Association of comorbidity with disability in older women: the Women's Health and Aging Study. J Clin Epidemiol 1999;52: 27-37.
3. Shwartz M, Iezzoni LI, Moskowitz MA, Ash AS, Sawitz E. The importance of comorbidities in explaining differences in patient costs. Med Care 1996;34:767-82.
4. Giaquinto S. Comorbidity in post-stroke rehabilitation. Eur J Neurol 2003;10:235-8.
5. Hamilton BB, Granger CV, Sherwin FS, Zielezny M, Tashman JS. A uniform national data system for medical rehabilitation. In: Fuhrer M, editor. Rehabilitation outcomes: analysis and measurement. Baltimore (MD): Paul H. Brookes; 1987. p. 137-50.
6. Guide for the uniform data set for medical rehabilitation: adult FIMTM instrument. Version 5.1. Buffalo (NY): Uniform Data System for Medical Rehabilitation; 1997.
7. Carter GM, Buchanan JL, Donyo T, Inkela M, Spritzer KL. A prospective payments system for inpatient rehabilitation. Washington (DC): US Department of Commerce, National Technical Information Services; 1997 September. Report no.: PB98-106024.
8. Carter GM, Relles DA, Buchanan JL, et el. A classification system for inpatient rehabilitation patients: a review and proposed revisions to the Functional Independence Measure-Function Related Groups. Washington (DC): US Department of Commerce, National Technical Information Services; 1997 Semtember. Report no.: PB98-105992.
9. Gage B. Impact of the BBA on post-acute utilization. Health Care Financ Rev 1999;20:103-26.
10. Ottenbacher KJ, Mann WC, Granger CV, Tomita M, Hurren D, Charvat B. Inter-rater agreement and stability of functional assessment in the community-based elderly. Arch Phys Med Rehabil 1994;75:1297-301.
11. Smith PM, Illig SB, Fiedler RC, Hamilton BB, Ottenbacher KJ. Intermodal agreement of follow-up telephone functional assessment using the Functional Independence Measure in patients with stroke. Arch Phys Med Rehabil 1996;77:431-5.
12. Heinemann AW, Linacre JM, Wright BD, Hamilton BB, Granger C. Prediction of rehabilitation outcomes with disability measures. Arch Phys Med Rehabil 1994;75:133-43.
13. Dodds TA, Martin DP, Stolov WC, Deyo RA. A validation of the functional independence measurement and its performance among rehabilitation inpatients. Arch Phys Med Rehabil 1993;74:531-6.
14. Granger CV, Cotter AC, Hamilton BB, Fiedler RC. Functional assessment scales: a study of persons after stroke. Arch Phys Med Rehabil 1993;74:133-8.
15. Ottenbacher KJ, Hsu Y, Granger CV, Fiedler RC. The reliability of the functional independence measure: a quantitative review. Arch Phys Med Rehabil 1996;77:1226-32.
16. Hamilton BB, Laughlin JA, Fiedler RC, Granger CV. Interrater reliability of the 7-level functional independence measure (FIM). Scand J Rehabil Med 1994;26:115-9.
17. Stineman MG, Shea JA, Jette A, Tassoni CJ, Ottenbacher KJ, Fiedler R, et al. The Functional Independence Measure: tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories. Arch Phys Med Rehabil 1996; 77:1101-8.
18. Ottenbacher KJ, Smith PM, Illig SB, Linn RT, Ostir GV. Granger CV. Trends in length of stay, living setting, functional outcome, and mortality following medical rehabilitation. JAMA 2004;292:1687-95.
19. Department of Health and Human Services. Medicare program changes to the inpatient rehabilitation facility prospective payment system fiscal year 2004: final rule. Federal Register. Vol. 68, No. 148, August 1, 2003.
20. Dunlop DD, Lyons JS, Manheim LM, Song J, Chang RW. Arthritis and heart disease as risk factors for major depression: the role of functional limitation. Med Care 2004; 42:502-11.
21. Giaquinto S, Ferrara I, Muschera R, Pagano G, Nolfe G. The effects of atrial fibrillation on functional recovery in poststroke patients. Disabil Rehabil 2001;23:204-8.
22. Patrick L, Knoefel F, Gaskowski P, Rexroth D. Medical comorbidity and rehabilitation efficiency in geriatric inpatients. J Am Geriatr Soc 2001;49:1471-7.
23. Lew HL, Lee E, Date ES, Zeiner H. Influence of medical comorbidities and complications on FIM change and length of stay during inpatient rehabilitation. Am J Phys Med Rehabil 2002;81:830-7.
24. Bradley LA. Recent approaches to understanding osteoarthritis pain. J Rheumatol Suppl 2004;70:54-60.
25. Hochberg MC. Osteoarthrtis: clinical features. In: Klippel JH, editor. Primer on the rheumatic diseases. 12th ed. Atlanta: Arthritis Foundation; 2001. p. 289-92.
26. Minor MA. Impact of exercise on osteoarthritis outcomes. J Rheumatol Suppl 2004;70:81-6.
27. Quan H, Parsons GA, Ghali WA. Validity of information on comorbidity derived from ICD-9-CCM administrative data. Med Care 2002;40:675-85.
28. Szklo M, Nieto F. Understanding lack of validity: bias. In: Epidemiology beyond the basic. Gaithersburg (MD): Aspen; 2000. p. 125-75.
29. Jaro MA. Probabilistic linkage of large public health data files. Stat Med 1995;14:491-8.