Quantifying Change During Outpatient Stroke Rehabilitation: A Retrospective Regression Analysis

Archives of Physical Medicine and Rehabilitation

Volumn 97, Issue 9, 2016, Pages 1423-1430.e1

  Lohse, Keith ^a   Bland, Marghuretta D ^b   Lang, Catherine E ^b  

^a AUBURN UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Rehabilitation; Stroke

Indexed keywords

ACTION RESEARCH ARM TEST; ADULT; AGE; AGED; ARTICLE; BERG BALANCE SCALE; BODY EQUILIBRIUM; CEREBROVASCULAR ACCIDENT; FEMALE; FUNCTIONAL STATUS; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MOTOR ACTIVITY; MOTOR DYSFUNCTION ASSESSMENT; OCCUPATIONAL THERAPY; OUTPATIENT CARE; PHYSICAL MOBILITY; PHYSIOTHERAPY; REGRESSION ANALYSIS; WALKING SPEED; DISABILITY; MIDDLE AGED; OUTPATIENT; PHYSIOLOGY; PROCEDURES; RETROSPECTIVE STUDY; STROKE REHABILITATION; UPPER LIMB; VERY ELDERLY; WALKING; YOUNG ADULT;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; DISABILITY EVALUATION; FEMALE; HUMANS; INPATIENTS; MALE; MIDDLE AGED; OUTPATIENTS; PHYSICAL THERAPY MODALITIES; POSTURAL BALANCE; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; STROKE REHABILITATION; UPPER EXTREMITY; WALKING; YOUNG ADULT;

EID: 84971670321     PISSN: 00039993     EISSN: 1532821X     Source Type: Journal    
DOI: 10.1016/j.apmr.2016.03.021     Document Type: Article

References (44)

1. 1 Kochanek, K.D., Murphy, S.L., Xu, J.Q., Arias, E., Mortality in the United States, 2013. NCHS Data Brief 178 (2014), 1–8.
2. 2 Mozaffarian, D., Benjamin, E.J., Go, A.S., et al. Heart disease and stroke statistics–2015 update: a report from the american heart association. Circulation 131 (2015), e29–e322.
3. 3 Duncan, P.W., Zorowitz, R., Bates, B., et al. Management of adult stroke rehabilitation care: a clinical practice guideline. Stroke 36 (2005), e100–e143.
4. 4 Legg, L., Langhorne, P., Outpatient Service Trialists. Rehabilitation therapy services for stroke patients living at home: systematic review of randomised trials. Lancet 363 (2004), 352–356.
5. 5 Quinn, T.J., Paolucci, S., Sunnerhagen, K.S., et al. Evidence-based stroke r-ehabilitation: an expanded guidance document from the european stroke organisation (eso) guidelines for management of ischaemic stroke and transient ischaemic attack 2008. J Rehabil Med 41 (2009), 99–111.
6. 6 Duncan, P.W., Goldstein, L.B., Matchar, D., Divine, G.W., Feussner, J., Measurement of motor recovery after stroke. Outcome assessment and sample size requirements. Stroke 23 (1992), 1084–1089.
7. 7 Jorgensen, H.S., Nakayama, H., Raaschou, H.O., Olsen, T.S., Recovery of walking function in stroke patients: the Copenhagen Stroke Study. Arch Phys Med Rehabil 76 (1995), 27–32.
8. 8 Tilling, K., Sterne, J.A., Rudd, A.G., Glass, T.A., Wityk, R.J., Wolfe, C.D., A new method for predicting recovery after stroke. Stroke 32 (2001), 2867–2873.
9. 9 Winters, C., van Wegen, E.E., Daffertshofer, A., Kwakkel, G., Generalizability of the proportional recovery model for the upper extremity after an ischemic stroke. Neurorehabil Neural Repair 29 (2015), 614–622.
10. 10 Lang, C.E., Bland, M.D., Connor, L.T., et al. The brain recovery core: building a system of organized stroke rehabilitation and outcomes assessment across the continuum of care. J Neurol Phys Ther 35 (2011), 194–201.
11. 11 Harris, P.A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., Conde, J.G., Research electronic data capture (redcap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42 (2009), 377–381.
12. 12 Lang, C.E., Macdonald, J.R., Reisman, D.S., et al. Observation of amounts of movement practice provided during stroke rehabilitation. Arch Phys Med Rehabil 90 (2009), 1692–1698.
13. 13 Bland, M.D., Sturmoski, A., Whitson, M., et al. Clinician adherence to a standardized assessment battery across settings and disciplines in a poststroke rehabilitation population. Arch Phys Med Rehabil 94 (2013), 1048–1053.e1041.
14. 14 Berg, K., Wood-Dauphinee, S., Williams, J.I., The balance scale: reliability assessment with elderly residents and patients with an acute stroke. Scand J Rehabil Med 27 (1995), 27–36.
15. 15 Berg, K.O., Wood-Dauphinee, S.L., Williams, J.I., Maki, B., Measuring balance in the elderly: validation of an instrument. Can J Public Health 83:Suppl 2 (1992), S7–S11.
16. 16 Lyle, R.C., A performance test for assessment of upper limb function in physical rehabilitation treatment and research. Int J Rehabil Res 4 (1981), 483–492.
17. 17 Yozbatiran, N., Der-Yeghiaian, L., Cramer, S.C., A standardized approach to performing the action research arm test. Neurorehabil Neural Repair 22 (2008), 78–90.
18. 18 Dean, C.M., Richards, C.L., Malouin, F., Walking speed over 10 metres overestimates locomotor capacity after stroke. Clin Rehabil 15 (2001), 415–421.
19. 19 Dobkin, B.H., Short-distance walking speed and timed walking distance: redundant measures for clinical trials?. Neurology 66 (2006), 584–586.
20. 20 Finch, E.., Brooks, D., Stratford, P.W., Mayo, N.E., Physical rehabilitation outcome measures. 2002, Lippincott Williams & Wilkins, Hamilton.
21. 21 Schmid, A., Duncan, P.W., Studenski, S., et al. Improvements in speed-based gait classifications are meaningful. Stroke 38 (2007), 2096–2100.
22. 22 Centers for Medicare & Medicaid Services. Medicare benefit policy manual. Chapter 1, section 110. 2009.
23. 23 Snijders, T.A., Bosker, R.J., Multilevel analysis: an introduction to basic and advanced multilevel modeling. 2012, SAGE Publications, Thousand Oaks.
24. 24 Singer, J.D., Willet, J.B., Applied longitudinal data anlaysis: modeling change and event occurence. 2003, Oxford Univ Pr, New York.
25. 25 Long, J.D., Longitudinal data analysis for the behavioral sciences using R. 2012, SAGE Publications, Thousand Oaks.
26. 26 Bates D, Maechler M, Bolker BM, Walker S. _lme: linear mixed-effects models using eigen and s4_. 2014.
27. 27 Wickham H, Francois R. Dplyr: A grammar of data manipulation. 2015.
28. 28 Veerbeek, J.M., Kwakkel, G., van Wegen, E.E., Ket, J.C., Heymans, M.W., Early prediction of outcome of activities of daily living after stroke: a systematic review. Stroke 42 (2011), 1482–1488.
29. 29 Duncan, P.W., Lai, S.M., Keighley, J., Defining post-stroke recovery: implications for design and interpretation of drug trials. Neuropharmacology 39 (2000), 835–841.
30. 30 Jorgensen, H.S., Nakayama, H., Raaschou, H.O., Vive-Larsen, J., Stoier, M., Olsen, T.S., Outcome and time course of recovery in stroke. Part II: Time course of recovery. The Copenhagen Stroke Study. Arch Phys Med Rehabil 76 (1995), 406–412.
31. 31 Kwakkel, G., Kollen, B., Lindeman, E., Understanding the pattern of functional recovery after stroke: facts and theories. Restor Neurol Neurosci 22 (2004), 281–299.
32. 32 Shelton, F.D., Volpe, B.T., Reding, M., Motor impairment as a predictor of functional recovery and guide to rehabilitation treatment after stroke. Neurorehabil Neural Repair 15 (2001), 229–237.
33. 33 Keith, R.A., Granger, C.V., Hamilton, B.B., Sherwin, F.S., The functional independence measure: a new tool for rehabilitation. Adv Clin Rehabil 1 (1987), 6–18.
34. 34 Lang, C.E., Bland, M.D., Bailey, R.R., Schaefer, S.Y., Birkenmeier, R.L., Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making. J Hand Ther 26 (2013), 104–114 quiz 115.
35. 35 Goldie, P.A., Matyas, T.A., Evans, O.M., Deficit and change in gait velocity during rehabilitation after stroke. Arch Phys Med Rehabil 77 (1996), 1074–1082.
36. 36 Wade, D.T., Wood, V.A., Heller, A., Maggs, J., Langton Hewer, R., Walking after stroke. Measurement and recovery over the first 3 months. Scand J Rehabil Med 19 (1987), 25–30.
37. 37 Nudo, R.J., Recovery after brain injury: mechanisms and principles. Front Hum Neurosci, 7, 2013, 887.
38. 38 Overman, J.J., Carmichael, S.T., Plasticity in the injured brain: more than molecules matter. Neuroscientist 20 (2014), 15–28.
39. 39 Stevenson, T.J., Detecting change in patients with stroke using the berg balance scale. Aust J Physiother 47 (2001), 29–38.
40. 40 Liston, R.A., Brouwer, B.J., Reliability and validity of measures obtained from stroke patients using the balance master. Arch Phys Med Rehabil 77 (1996), 425–430.
41. 41 Lang, C.E., Edwards, D.F., Birkenmeier, R.L., Dromerick, A.W., Estimating minimal clinically important differences of upper-extremity measures early after stroke. Arch Phys Med Rehabil 89 (2008), 1693–1700.
42. 42 van der Lee, J.H., Beckerman, H., Lankhorst, G.J., Bouter, L.M., The responsiveness of the action research arm test and the fugl-meyer assessment scale in chronic stroke patients. J Rehabil Med 33 (2001), 110–113.
43. 43 Tilson, J.K., Sullivan, K.J., Cen, S.Y., et al. Meaningful gait speed improvement during the first 60 days poststroke: minimal clinically important difference. Phys Ther 90 (2010), 196–208.
44. 44 Perera, S., Mody, S.H., Woodman, R.C., Studenski, S.A., Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc 54 (2006), 743–749.