Newly developed short behavior scale for use in stroke outcome research

American Journal of Physical Medicine and Rehabilitation

Volumn 77, Issue 5, 1998, Pages 376-381

  Tsuji, Tetsuya ^a,c   Liu, Meigen ^a   Sonoda, Shigeru ^b   Domen, Kazuhisa ^b   Tsujiuchi, Kazuto ^a   Chino, Naoichi ^b  

^a Saitama Pref Gen Rehab Center   (Japan)

^b KEIO UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^c NONE   (Japan)

Author keywords

Behavior; Cognitive Function; Outcome Prediction; Rating Scales; Stroke

Indexed keywords

BEHAVIORAL RESEARCH; PSYCHOPHYSIOLOGY;

COGNITIVE FUNCTION; STROKE REHABILITATION;

FUNCTIONAL ASSESSMENT;

ADULT; AGED; ARTICLE; COGNITION; COGNITIVE DEFECT; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH; RATING SCALE; RISK ASSESSMENT; SCORING SYSTEM; STROKE;

ACTIVITIES OF DAILY LIVING; ADULT; AGED; AGED, 80 AND OVER; BEHAVIOR; CEREBROVASCULAR DISORDERS; COGNITION; FEMALE; HEALTH STATUS INDICATORS; HUMANS; MALE; MIDDLE AGED; OUTCOME ASSESSMENT (HEALTH CARE); PREDICTIVE VALUE OF TESTS;

EID: 0032170313     PISSN: 08949115     EISSN: None     Source Type: Journal    
DOI: 10.1097/00002060-199809000-00003     Document Type: Article

References (34)

1. Novack TA, Haban G, Graham K, et al.: Prediction of stroke rehabilitation outcome from psychologic screening. Arch Phys Med Rehabil 1987;68:729-734.
2. Carter LT, Oliveira DO, Duponte J, et al.: The relationship of cognitive skills performance to activities of daily living in stroke patients. Am J Occup Ther 1988;42:449-455.
3. Lincoln NB, Blackburn M, Ellis S, et al.: An investigation of factors affecting progress of patients on a stroke unit. J Neurol Neurosurg Psychiatry 1989;52:493-496.
4. Mysiw WJ, Beegan JG, Gatens PF: Prospective cognitive assessment of stroke patients before inpatient rehabilitation: the relationship of the neurobehavioral cognitive status examination to functional improvement. Am J Phys Med Rehabil 1989;68: 168-171.
5. Galski T, Bruno RL, Zorowitz R, et al.: Predicting length of stay, functional outcome, and aftercare in the rehabilitation of stroke patients: the dominant role of higher-order cognition. Stroke 1993;24:1794-1800.
6. Tatemichi TK, Desmond DW, Stern Y, et al.: Cognitive impairment after stroke: frequency, patterns, and relationship to functional abilities. J Neurol Neurosurg Psychiatry 1994;57:202-207.
7. Pedersen PM, Jorgensen HS, Nakayama H, et al.: Orientation in the acute and chronic stroke patient: impact on ADL and social activities. The Copenhagen Stroke Study. Arch Phys Med Rehabil 1996;77:336-339.
8. Folstein MF, Folstein SE, McHugh PR: "Mini-Mental State": a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189-198.
9. Luxenberg JS, Feigenbaum LZ: Cognitive impairment on a rehabilitation service. Arch Phys Med Rehabil 1986;67:796-798.
10. Hajek VE, Rutman DL, Scher H: Brief assessment of cognitive impairment in patients with stroke. Arch Phys Med Rehabil 1989;70:114-117.
11. Katoh S, Shimogaki M, Onodera A, et al.: Development of the revised version of Hasegawa's dementia scale (HDS-R). Ronen Seishin Igaku Zassi 1991;2:1339-1347 [in Japanese].
12. Data Management Service of the Uniform Data System for Medical Rehabilitation and the Center for Functional Assessment Research. Guide for Use of the Uniform Data Set for Medical Rehabilitation. Buffalo, State University of New York at Buffalo, Version 3.0, March 1990.
13. Chino N, Sonoda S, Domen K, et al.: Stroke Impairment Assessment Set (SIAS): a new evaluation instrument for stroke patients. Jpn J Rehabil Med 1994;31:119-125.
14. Chino N, Sonoda S, Domen K, et al.: Stroke Impairment Assessment Set (SIAS), in Chino N, Melvin JL (eds): Functional Evaluation of Stroke Patients. Tokyo, Springer-Verlag, 1995 pp 19-31.
15. Nunnally JC, Bernstein IH: Psychometric Theory, ed 3. New York, McGraw-Hill, 1994, pp 233-236.
16. Shrout PE, Fleiss JL: Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979;86:420-428.
17. Cohen J: Weighted Kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull 1968;70:213-220.
18. Johnston MV, Keith RA: Measurement standards for medical rehabilitation and clinical applications. Phys Med Rehabil Clin N Am 1993;4:425-449.
19. Armitage P, Berry G: Statistical Methods in Medical Research, ed 3. Oxford, Blackwell Scientific Publications, 1994, pp 464-467.
20. Armitage P, Berry G: Statistical Methods in Medical Research, ed 3. Oxford, Blackwell Scientific Publications, 1994, pp 312-334.
21. StatView 4.02. California, Abacus Concepts Inc., 1992.
22. Kwakkel G, Wagenaar RC, Kollen BJ, et al.: Predicting disability in stroke-a critical review of the literature. Age Ageing 1996;25:479-489.
23. Gouvier WD, Blanton PD, LaPorte KK, et al.: Reliability and validity of the disability rating scale and the levels of cognitive functioning scale in monitoring recovery from severe head injury. Arch Phys Med Rehabil 1987;68:94-97.
24. Hall KM, Johnston MV: Outcomes evaluation in TBI rehabilitation. Part II: Measurement tools for a nationwide data system. Arch Phys Med Rehabil 1994;75:SC10-SC18.
25. Suzuki I, Asano R: Epidmiology of stroke in Japan. Nihon Rinsho 1993;51:20-9 [in Japanese].
26. Granger CV, Hamilton BB: The Uniform Data System for Medical Rehabilitation: report of first admissions for 1992. Am J Phys Med Rehabil 1992;73:51-5.
27. Merbitz C, Morris J, Grip JC: Ordinal scales and foundations of misinference. Arch Phys Med Rehabil 1989;70:308-312.
28. Wright BD, Linacre JM: Observations are always ordinal: measurements, however, must be interval. Arch Phys Med Rehabil 1989;70:857-860.
29. Falconer JA, Naughton BJ, Dunlop DD, et al.: Predicting stroke inpatient rehabilitation outcome using a classification tree approach. Arch Phys Med Rehabil 1994;75:619-625.
30. Patil S, Henry JW, Rubenfire M, et al.: Neural network in the clinical diagnosis of acute pulmonary embolism. Chest 1993; 104:1685-1689.
31. Tu VJ, Guerriere MRJ: Use of a neural network as a predictive instrument for length of stay in the intensive care unit following cardiac surgery. Comput Biomed Res 1993;26:220-229.
32. Wright BD, Masters GN: Rating Scale Analysis: Rasch Measurement. Chicago, MESA, 1982.
33. Kleinbaum DG, Kupper LL, Muller KE: Applied Regression Analysis and Other Multivariable Methods, ed 2. Boston, PWS-KENT, 1988.
34. Liu M, Ishigami S: Future research, in Chino N, Melvin JL (eds): Functional Evaluation of Stroke Patients. Tokyo, Springer-Verlag, 1995, pp 128-129.