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Original

The Orpington Prognostic Scale for patients with stroke: Reliability and pilot predictive data for discharge destination and therapeutic services

, & , BHSc (PT), MSc
Pages 1425-1433 | Published online: 14 Sep 2009

References

  • Heart and Stroke Foundation of Canada. http://www.heart andstroke.ca.
  • Kalra L, Crome P. The role of prognostic scores in targeting stroke rehabilitation in elderly patients. J Am Geriat Soc 1993; 41: 396–400
  • Prescott R J, Garraway W M, Akhtar A J. Predicting functional outcome following acute stroke using a standard clinical examination. Stroke 1982; 13: 641–647
  • Qureshi K N, Hodkinson H M. Evaluation of a ten-question mental test in the institutionalized elderly. Age Ageing 1974; 3: 152–157
  • Hodkinson H M. Evaluation of a mental test score for assessment of mental impairment in the elderly. Age Ageing 1972; 1: 233–238
  • Jitapunkul S, Pillay I, Ebrahim S. The Abbreviated Mental Test: Its use and validity. Age Ageing 1991; 20: 332–336
  • Sarasqueta C, Bergareche A, Arce A, et al. The validity of Hodkinson's Abbreviated Mental Test for demential screening in Guipuzcoa, Spain. Eur J Neurol 2001; 8: 435–440
  • Kalra L, Dale P, Crome P. Evaluation of a clinical score for prognostic stratification of elderly stroke patients. Age Aging 1994; 23: 492–498
  • Pittock S J, Meldrum D, Ni Dhuill C, Hardiman O, Moroney J T. The Orpington Prognositc Scale within the first 48 hours of admission as a predictor of outcome in ischemic stroke. J Stroke Cerebrovasc Dis 2003; 12: 175–181
  • Lai S M, Duncan P W, Keighley J. Prediction of functional outcome after stroke: Comparison of the Orpington Prognostic Scale and the NIH Stroke Scale. Stroke 1998; 29: 1838–1842
  • Studenski S A, Wallace D, Duncan P W, Rymer M, Lai S M. Predicting stroke recovery: Three- and six-month rates of patient-centered functional outcomes based on the Orpington Prognostic Scale. J Am Geriat Soc 2001; 49: 308–312
  • Evans A, Harraf F, Donaldson N, Kalra L. Randomized controlled study of stroke unit care versus stroke team care in different stroke subtypes. Stroke 2002; 33: 449–455
  • Duncan P W, Horner R D, Reker D M, et al. Adherence to postacute rehabilitation guidelines is associated with functional recovery in stroke. Stroke 2002; 33: 167–178
  • Whitall J, Waller S M, Silver K HC, Macko R F. Repetitive bilateral arm training with rhythmic auditory cueing improves motor function in chronic hemiparetic stroke. Stroke 2000; 31: 2390–2395
  • Walter S D, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med 1998; 17: 101–110
  • Weiner E A, Stewart B J. Assessing individuals. Little Brown, Boston 1984
  • Weir N U, Counsell C E, McDowall M, Gunkel A, Dennis M S. Reliability of the variables in a new set of models that predict outcome after stroke. J Neurol Neurosurg Psychiat 2003; 74: 447–451
  • Counsell C, Dennis M. Systematic review of prognostic models in patients with acute stroke. Cerebrovasc Dis 2001; 12: 159–170
  • Meijer R, Van Limbeek J, Kriek B, Ihnenfeldt D, Vermeulen M, De Haan R. Prognostic social factors in the subacute phase after a stroke for the discharge destination from the hospital stroke-unit. A systematic review of the literature. Disab Rehab 2004; 26: 191–197
  • Colantonio A, Kasl S V, Ostfeld A M, Berkman L F. Psychosocial predictors of stroke outcomes in an elderly population. J Gerontol: Soc Sci 1993; 48: 5261–5268
  • Falconer J A, Naughton B J, Dunlop D D, Roth E J, Strasser D C, Sinacore J M. Predicting stroke inpatient rehabi- litation outcome using a classification tree approach. Arch Phys Med Rehab 1994; 75: 619–625
  • Pedersen P M, Jorgensen H S, Nakayama H, Raaschou H O, Olsen T S. Orientation in the acute and chronic stroke patient: Impact on ADL and social activities. The Copenhagen stroke study. Arch Phys Med Rehab 1996; 77: 336–339
  • Mauthe R W, Haaf D C, Hayn P, Krall J M. Predicting discharge destination of stroke patients using a mathematical model based on six items from the functional independence measure. Arch Phys Med Rehab 1996; 77: 10–13
  • Oczkowski W J, Barreca S. Neural network modeling accurately predicts the functional outcome of stroke survivors with moderate disabilities. Arch Phys Med Rehab 1997; 78: 340–345
  • Jehkonen M, Ahonen J P, Dastidar P, Koivisto A M, Laippala P, Vilkki J, Molnar G. Predictors of discharge to home during the first year after right hemisphere stroke. Acta Neurol Scand 2001; 104: 136–141
  • Marshall S C, Heisel B, Grinnell D. Validity of the PULSES Profile compared with the Functional Independence Measure for measuring disability in a stroke rehabilitation setting. Arch Phys Med Rehab 1999; 80: 760–765
  • McKenna K, Tooth L, Strong J, Ottenbacher K, Connell J, Cleary M. Predicting discharge outcomes for stroke patients in Australia. Am J Phys Med Rehab 2002; 81: 47–56
  • Unsworth C A. Selection for rehabilitation: Acute care discharge patterns for stroke and orthopaedic patients. Int J Rehab Res 2002; 24: 103–114

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