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Assessment of Rehabilitation Technologies in Stroke: Outcomes and Costs

Published online by Cambridge University Press:  10 March 2009

Ursula Hass ,
Jan Persson ,
Håkan Brodin ,
Ingrid Fredén-Karlsson ,
Jan-Edvin Olsson  and
Inger Berg
Ursula Hass
Affiliation:
Linköping University
Jan Persson
Affiliation:
Linköping University
Håkan Brodin
Affiliation:
Linköping University
Ingrid Fredén-Karlsson
Affiliation:
The Primary Health Care Center of Skäggertorp, Linköping
Jan-Edvin Olsson
Affiliation:
University Hospital, Linköping
Inger Berg
Affiliation:
University Hospital, Linköping
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Abstarct

Initial functional ability (Barthel Index, mean 57) was found to be an important predictor of functional ability 1 year after stroke (mean 80) and for costs during the period. On average the total cost for a stroke patient was about SEK 200,000; the main expense, accommodation, averaged about SEK 140,000, while assistive devices amounted to SEK 2,600. Those who use assistive devices, although having achieved a high functional ability, perceive and rate their life situation (Nottingham Health Profile) considerably more impaired than those without assistive devices.

Type
Special Section: Technology and Disability
Information
International Journal of Technology Assessment in Health Care , Volume 11 , Issue 2 , Spring 1995 , pp. 245 - 261
Copyright
Copyright © Cambridge University Press 1995

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References

REFERENCES

1.Ahlsiö, B., Britton, M., Murray, V., & Theorell, T.Disablement and quality of life after stroke. Stroke, 1984, 15, 886–90.Google Scholar
2.Åström, M., Asplund, K., & Aström, T.Psychosocial function and life satisfaction after stroke. Stroke, 1992, 23, 527–31.Google Scholar
3.DeJong, G., & Branch, L. G.Predicting the stroke patient's ability to live independently. Stroke, 1982, 13, 648–55.Google Scholar
4.Ebrahim, S. Measurement of impairment, disability and handicap. In Hopkins, A. & Costain, D. (eds.), Measuring the outcomes of medical care. London: Royal College of Physicians, 1990, 27–41.Google Scholar
5.Ebrahim, S., Barer, D., & Nouri, F.Use of the Nottingham Health Profile with patients after stroke. Journal of Epidemiology and Community Health, 1986, 40, 166–69.Google Scholar
6.Freed, M., & Wainapel, S. F.Predictors of stroke outcome. American Family Physician, 1983, 28, 119–23.Google Scholar
7.Garraway, W. M., Akhtar, A. J., Prescott, R. J., & Hockey, L.Evaluating the effectiveness of a stroke unit in the management of acute stroke. Experta Medica International Congress series, 1982, 568, 156–72.Google Scholar
8.Gresham, G., Phillips, T. F., & Labi, M. L. C.ADL status in stroke: Relative merits of three standard indexes. Archives of Physical Medicine and Rehabilitation, 1980, 61, 355–58.Google Scholar
9.Hamrin, E.Early activation after stroke: Does it make a difference? Scandanavian Journal of Rehabilitation Medicine, 1982, 14, 111–16.Google Scholar
10.Hulter-Asberg, K., & Parrow, A.Event, incidence and fatality rates of cerebrovascular disease in Enköping - Hâbo, Sweden, 1986–88. Scandanavian Journal of Social Medicine, 1991, 19, 134–39.Google Scholar
11.Hunt, S. M., McEven, J., & McKenna, S. P.Perceived health: Age and sex norms in a community. Journal of Epidemiology and Community Health, 1984, 38, 156–60.Google Scholar
12.Huat, S. M., McKenna, S. P., McEven, J., et al. A quantitative approach to perceived health status: A validation study. Journal of Epidemiology and Community Health, 1980, 32, 281–86.Google Scholar
13.Indtedavik, B., Bakke, F., Solberg, R., et al. Benefit of a stroke unit: A randomized controlled trial. Stroke, 1991, 22, 1026–31.Google Scholar
14.Katt, S., Ford, A. B., Moskowitz, R. W., & Jackson, B. A.Studies of illness in the aged: The index of ADL: A standardized measure of biological and psychosocial function. Journal of the American Medical Association, 1963, 185, 914–19.Google Scholar
15.Lawrence, L., & Christie, D.Quality of life after stroke: A three-year follow-up. Age and Aging, 1979, 8, 167–72.Google Scholar
16.Mahoney, F. I., & Barthel, D. W.Functional evaluation: The Barthel Index. Maryland State Medical Journal, 1965, 24, 61–65.Google Scholar
17.Miettinen, O. S.Theoretical epidemiology: Principles of occurrence research in medicine. New York: John Wiley & Sons, 1985.Google Scholar
18.Novak, T. A., Satterfield, W. T., Lyons, K., et al. Stroke onset and rehabilitation: Time lag as a factor in treatment outcome. Archives of Physical and Medical Rehabilitation, 1984, 65, 316–19.Google Scholar
19.Osberg, J. S., McGinnis, G. E., DeJong, G., et al. Long-term utilization and charges among post-rehabilitation stroke patients. American Journal of Physical Medicine & Rehabilitates, 1988, 67, 66–72.Google Scholar
20.Persson, J., & Brodin, J.Legal and macroeconomic factors impacting rehabilitation technology availability, D.2 chapter 1: Existing socio-economic models. EC TIDE study of horizontal European activities in rehabilitation technology. Commission of the European Communities, Directorate-General DG XII, 1993.Google Scholar
21.Persson, U., Silverberg, R., Lindgren, B., et al. Direct costs of stroke for a Swedish population. International Journal of Technology Assessment in Health Care, 1990, 6, 125–37.Google Scholar
22.Robinson, R. G., & Price, T. R.Post-stroke depressive disorders: A follow-up study of 103 patients. Stroke, 1982, 13, 635–41.Google Scholar
23.Schoening, H. A., Anderegg, L., Bergström, D., et al. Numerical scoring of self-care status, of patients. Archives of Physical Medicine and Rehabilitation, 1965, 46, 689–97.Google Scholar
24.Schoening, H. A., & Iversen, I. A.Numerical scoring of self-care status: A study of the Kenny self-care evaluation. Archives of Physical Medicine and Rehabilitation, 1968, 49, 221–29.Google Scholar
25.Shah, S., Vanclay, F., & Cooper, B.Efficiency, effectiveness, and duration of stroke rehabilitation. Stroke, 1990, 21, 241–46.Google Scholar
26. Statistics. Sweden. Statistical Yearbook of Sweden 1992. Stockholm: Nordstedts Tryckeri AB, 1991.Google Scholar
27.Strand, T., Asplund, K., Eriksson, S., et al. A non-intensive stroke unit reduces functional disability and the need for long-term hospitalization. Stroke, 1985, 16, 29–34.Google Scholar
28.Teréent, A.Increasing incidence of stroke among Swedish women. Stroke, 1988, 19, 598–683.Google Scholar
29.Terént, A.Medico-social consequences and direct costs of stroke in a Swedish community. Scandmavian Journal of Rehabilitation Medicine, 1983, 15, 165–71.Google Scholar
30.Viitanen, M., Eriksson, S., Asplund, K. et al. Determinants of long-term mortality after stroke. Acta Medical Scandinavian, 1987, 221, 349–56.Google Scholar
31.Wade, D. T., & Langton Hewer, R.Functional abilities after stroke: Measurement, natural history, and prognosis. Journal of Neurology, Neurosurgery, and Psychiatry, 1987, 50, 177–82.Google Scholar
32.Wade, D. T., Legh-Smith, J., & Langton Hewer, R.Depressed mood after stroke: A community study of its frequency, prognosis, and associated factors. British Journal of Psychiatry, 1987, 151, 200–05.Google Scholar
33.Wade, D. T., Skilbeck, C. E., & Langton Hewer, R.Predicting Barthel ADL score at 6 months after an acute stroke. Archives of Physical and Medicine Rehabilitation, 1983, 64, 24–28.Google Scholar
34.World Health Organization. International classification of impairments, disabilities, and handicaps: A manual of classification relating to the consequences of disease. Geneva: World Health Organization, 1980.Google Scholar