Possible incremental benefits of specialized rehabilitation bed units among veterans after lower extremity amputation

Medical Care

Volumn 47, Issue 4, 2009, Pages 457-465

  Kurichi, Jibby E ^a   Small, Dylan S ^b   Bates, Barbara E ^c   Prvu Bettger, Janet A ^a   Kwong, Pui L ^a   Vogel, W Bruce ^d   Bidelspach, Douglas E ^a   Stineman, Margaret G ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c ALBANY MEDICAL COLLEGE   (United States)

^d VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Amputation; Lower extremity; Outcome assessment; Rehabilitation; Selection bias

Indexed keywords

ADULT; AGED; ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; DATA ANALYSIS; DATA BASE; FEMALE; HOSPITAL BED; HOSPITAL DISCHARGE; HUMAN; LEG AMPUTATION; LEG MOVEMENT; LEG PROSTHESIS; MAJOR CLINICAL STUDY; MALE; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; POSTOPERATIVE PERIOD; REHABILITATION; RISK ASSESSMENT; SENSITIVITY ANALYSIS; SURGICAL WARD; SURVIVAL RATE; TREATMENT RESPONSE; VETERAN; AMPUTATION; EPIDEMIOLOGY; LEG; MEDICAL PROFESSION; METHODOLOGY; MIDDLE AGED; REHABILITATION NURSING; STATISTICAL MODEL; TREATMENT OUTCOME; UNITED STATES;

ADULT; AGED; AGED, 80 AND OVER; AMPUTATION; DATABASES AS TOPIC; HUMANS; LOWER EXTREMITY; MALE; MIDDLE AGED; MODELS, STATISTICAL; REHABILITATION NURSING; RISK ADJUSTMENT; SELECTION BIAS; SPECIALISM; TREATMENT OUTCOME; UNITED STATES; VETERANS;

EID: 64249114578     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/MLR.0b013e31818b08c6     Document Type: Article

References (35)

1. Pezzin LE, Dillingham TR, MacKenzie EJ. Rehabilitation and the long-term outcomes of persons with trauma-related amputations. Arch Phys Med Rehabil. 2000;81:292-300.
2. Stineman MG, Kwong PL, Kurichi JE, et al. The effectiveness of inpatient rehabilitation in the acute postoperative phase of care after trans-tibial or trans-femoral amputation: study of an integrated health care delivery system. Arch Phys Med Rehabil. 2008;89:1863-1872.
3. Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41-55.
4. Murray PK, Singer M, Dawson NV, et al. Outcomes of rehabilitation services for nursing home residents. Arch Phys Med Rehabil. 2003;84:1129-1136.
5. Rosenbaum PR, Rubin DB. Sensitivity to an unobserved binoary covariate in an observational study wife binary outcome. J R Stat Soc. 1983;45:212-218.
6. VIReC Research User Guide. In: Edward J. Hines Jr. FY2000 VHA Medical SAS Inpatient Datasets. VA Hospital, Hines, IL: Veterans Affairs Information Resource Center; 2003.
7. VIReC Research User Guide. In: Edward J. Hines Jr. FY2000 VHA Medical SAS Outpatient Datasets. VA Hospital, Hines, IL: Veterans Affairs Information Resource Center; 2003.
8. Kubal JD, Webber S, Cooper DC, et al. A primer on US mortality databases used in health services research. In: VIReC Insights No 5. Hines, IL: Veterans Affairs Information Resource Center; 2000.
9. Pape T, Maciejewski M, Reiber G. The National Prosthetics Patient Database (Nppd): A Primary Resource for Nationwide VA Durable Medical Equipment Data. Hines, IL: Veterans Affairs Information Resource Center; 2001.
10. Department of Veterans Affairs, VHA Office of Information. VHA Corporate Databases Monograph [VA web site]. March 2006. Available at: http://www.\4rec.research. va.gov/References/Unks/VHACorporateDatabase Monograph2006Final.pdf. Accessed April 18, 2007.
11. Bates B, Stineman MG, Reker D, et al. Risk factors associated with mortality in a male veteran population following transtibial or transfemoral amputation. J Rehabil Res Dev. 2006;43:917-928.
12. Bates BE, Kurichi JE, Marshall CR, et al. Does the presence of specialized rehabilitation units influence access to comprehensive services? Arch Phys Med Rehabil. 2007;88:1249-1255.
13. Kurichi JE, Kwong PL, Reker DM, et al. Clinical factors associated with prescription of a prosthetic limb in elderly veterans. J Am Geriatr Soc. 2007;55:900-906.
14. Kurichi JE, Stineman MG, Kwong PL, et al. Assessing and using comorbidity measures in elderly veterans with lower extremity amputations. Gerontology. 2007;53:255-259.
15. Mayfield JA, Reiber GE, Maynard C, et al. Survival following lower-limb amputation in a veteran population. J Rehabil Res Dev. 2001;38:341-345.
16. Granger CV, Hamilton BB, Keith RA, et al. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;l:59-74.
17. McWhinnie DL, Gordon AC, Collin J, et al. Rehabilitation outcome 5 years after 100 lower-limb amputations. Br J Surg. 1994;81:1596-1599.
18. Elixhauser A, Steiner C, Harris DR, et al. Comorbidity measures for use with administrative data. Med Care. 1998;36:8-27.
19. HCUP Comorbidity Software [computer program]. Healthcare Cost and Utilization Project (HCUP). Version 3.1. Rockville, MD: Agency for Healthcare Research and Quality; 2006.
20. Stineman MG, Shea JA, Jette A, et al. The functional independence measure: tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories. Arch Phys Med Rehabil. 1996;77:1101-1108.
21. Hamilton BB, Granger CV, Sherwin FS A uniform national data system for medical rehabilitation. In: Fuhrer MG, ed. Rehabilitation Outcomes: Analysis and Measurement. Baltimore, MD: Paul H. Brookes; 1987.
22. D'Agostino RB Jr. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998;17:2265-2281.
23. Dehijia RH, Wahba S. Causal effects in nonexperimental studies: reevaluation the evaluation of training programs. Am Stat Assoc. 1999;94:1053-1062.
24. Rosenbaum PR. Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc. 1984;79:516-524.
25. Rosenbaum PR. Observational Studies. New York, NY: Springer-Verlag; 2002.
26. Rubin D. Combining propensity score matching with additional adjustments for prognostic covariates. Am Stat Assoc. 2000;95:573-585.
27. Normand ST, Landrum MB, Guadagnoli E, et al. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. J Clin Epidemiol. 2001;54:387-398.
28. Agresti A. Categorical Data Analysis. Hobeken, NJ: John Wiley & Sons, Inc; 2002.
29. SAS [computer program]. Version 9.1. Cary, NC: SAS Institute; 2005.
30. R: A language and environment for statistical computing [computer program], ISBN 3-900051-07-0. Vienna, Austria: R Development Core Team; 2008. Available at: http://www.R-project.org.
31. Dillingham TR, Pezzin LE. Postacute care services use for dysvascular amputees: a population-based study of Massachusetts. Am J Phys Med Rehabil. 2005;84:147-152.
32. Turney BW, Kent SJ, Walker RT, et al. Amputations: no longer the end of the road. J R Coll Surg Edinb. 2001;46:271-273.
33. Roberts MS. Using physiology-based prediction models to enhance clinical trials. IOM annual Meeting: Evidence-Based Medicine and the Changing Nature of Health Care. Available at: http://www.iom.edu/CMS/46897.aspx. Accessed February 1, 2008.
34. Fisher ES. Relationship between health care and the evidence base: Current profile. 2007 IOM annual Meeting: Evidence-Based Medicine and the Changing Nature of Health Care. Available at: http://www. iom.edu/CMS/46897. aspx. Accessed February 1, 2008.
35. Commission on Accreditation of Rehabilitation Facilities, CARF Service Providers [web site]. Available at: http://www.carf.org/Providers.aspx? content=content/providers/amputation.htm. Accessed August 6, 2007.