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Investigating the Course and Predictors of Desire to Void After Stroke with the New Desire to Void Scale: A Prospective Cohort Study

Published online by Cambridge University Press:  09 June 2016

Michiyuki Kawakami*
Affiliation:
Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
Chiaki Nakayama
Affiliation:
Nursing Department, Toshima Hospital, Tokyo, Japan
Meigen Liu
Affiliation:
Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan
*
Address for correspondence: Michiyuki Kawakami, MD, PhD, Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan. Tel: +81-3-5363-3832; Fax: +81-3-3225-5476. E-mail: [email protected].
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Abstract

Objective: The aims of the study were to: (1) test the reliability, validity, and responsiveness of our originally developed desire to void scale (DVS); and (2) investigate the time course of the DV after stroke during the post-acute phase.

Methods: DVS was tested by having two independent raters assess the scale and calculating the weighted kappa. To evaluate its concurrent validity, Pearson's correlation coefficients between DVS and the bladder management item of the Functional Independence Measure (FIM) were calculated. A prospective analysis of the time course of the DVS and its relationships with age, sex, stroke type, paretic side, and the FIM score in 103 patients hospitalised in a rehabilitation ward was then performed. To quantify its responsiveness, standardised response means during the recovering phase of stroke were obtained. To predict discharge DVS scores from demographic characteristics and admission status, multiple regression analysis was performed.

Results: The DVS had satisfactory inter- and intra-rater reliabilities. The standardised response means for DVS from admission to discharge was .58. The discharge DVS improved significantly when compared with the admission DVS. Stroke type, admission DVS, and cognition scores of the FIM were independent predictors of discharge DVS.

Type
Themed articles on Stroke
Copyright
Copyright © Australasian Society for the Study of Brain Impairment 2016 

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References

Abrams, P., Cardozo, L., Fall, M., Griffiths, D., Rosier, P., Ulmsten, U., Van Kerrebroeck, P., Victor, A. & Wein, A. (2002). The standardisation of terminology of lower urinary tract function: report from the Standardisation Sub-committee of the International Continence Society. Neurourology and Urodynamics, 21 (2), 167178.CrossRefGoogle ScholarPubMed
Anderson, C. S., Jamrozik, K. D., Broadhurst, R. J. & Stewart-Wynne, E. G. (1994). Predicting survival for 1 year among different subtypes of stroke. Results from the Perth Community Stroke Study. Stroke, 25 (10), 19351944.Google Scholar
Borrie, M. J., Campbell, A. J., Caradoc-Davies, T. H. & Spears, G. F. (1986). Urinary incontinence after stroke: a prospective study. Age and Ageing, 15 (3), 177181.CrossRefGoogle ScholarPubMed
Brocklehurst, J. C., Andrews, K., Richards, B. & Laycock, P. J. (1985). Incidence and correlates of incontinence in stroke patients. Journal of the American Geriatrics Society, 33 (8), 540542.Google Scholar
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20 (1), 3746.CrossRefGoogle Scholar
Cohen, J. (1968). Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70 (4), 213220.Google Scholar
Craig, A. D. (2002). How do you feel? Interoception: the sense of the physiological condition of the body. Nature Reviews Neuroscience, 3 (8), 655666.CrossRefGoogle Scholar
Critchley, H. D., Mathias, C. J., Josephs, O., O'doherty, J., Zanini, S., Dewar, B. K., Cipolotti, L., Shallice, T. & Dolan, R. J. (2003). Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence. Brain, 126 (Pt 10), 21392152.Google Scholar
Damasio, A.R. (2003). Of Appetites and Emotions. In: Damasio, AR eds. Looking for Spinoza: joy, sorrow, and the feeling brain. Orlando, FL: Harcourt, 2780 Google Scholar
Data management service of the Uniform Data System for medical rehabilitation and the Center for Functional Assessment Research. (1990). Guide for use of the Uniform Data Set for medical rehabilitation. Version 3.0. Buffalo, NY: State University of New York at Buffalo.Google Scholar
Griffiths, D., Tadic, S. D., Schaefer, W. & Resnick, N. M. (2007). Cerebral control of the bladder in normal and urge-incontinent women. Neuroimage, 37 (1), 17.Google Scholar
Griffiths, D. J. (2011). Use of functional imaging to monitor central control of voiding in humans. Handbook of Experimental Pharmacology, 202, 8197.CrossRefGoogle Scholar
Guyatt, G., Walter, S. & Norman, G. (1987). Measuring change over time: assessing the usefulness of evaluative instruments. Journal of Chronic Diseases, 40 (2), 171178.CrossRefGoogle ScholarPubMed
Kalra, L., Smith, D. H. & Crome, P. (1993). Stroke in patients aged over 75 years: outcome and predictors. Postgraduate Medical Journal, 69 (807), 3336.Google Scholar
Kelly, P. J., Furie, K. L., Shafqat, S., Rallis, N., Chang, Y. & Stein, J. (2003). Functional recovery following rehabilitation after hemorrhagic and ischemic stroke. Archives of Physical Medicine and Rehabilitation, 84 (7), 968972.Google Scholar
Kolominsky-Rabas, P. L., Hilz, M. J., Neundoerfer, B. & Heuschmann, P. U. (2003). Impact of urinary incontinence after stroke: results from a prospective population-based stroke register. Neurourology and Urodynamics, 22 (4), 322327.Google Scholar
Liang, M. H., Fossel, A. H. & Larson, M. G. (1990). Comparisons of five health status instruments for orthopedic evaluation. Medical Care, 28 (7), 632642.CrossRefGoogle ScholarPubMed
Mackenzie, C. R., Charlson, M. E., Digioia, D. & Kelley, K. (1986). Can the Sickness Impact Profile measure change? An example of scale assessment. Journal of Chronic Diseases, 39 (6), 429438.CrossRefGoogle ScholarPubMed
Meijer, R., Ihnenfeldt, D. S., De Groot, I. J., Van Limbeek, J., Vermeulen, M. & De Haan, R. J. (2003). Prognostic factors for ambulation and activities of daily living in the subacute phase after stroke. A systematic review of the literature. Clinical Rehabilitation, 17 (2), 119–29.CrossRefGoogle ScholarPubMed
Nakayama, H., Jorgensen, H. S., Pedersen, P. M., Raaschou, H. O. & Olsen, T. S. (1997). Prevalence and risk factors of incontinence after stroke. The Copenhagen Stroke Study. Stroke, 28 (1), 5862.CrossRefGoogle ScholarPubMed
Paolucci, S., Antonucci, G., Grasso, M. G., Bragoni, M., Coiro, P., De Angelis, D., Fusco, F. R., Morelli, D., Venturiero, V., Troisi, E. & Pratesi, L. (2003). Functional outcome of ischemic and hemorrhagic stroke patients after inpatient rehabilitation: a matched comparison. Stroke, 34 (12), 28612865.Google Scholar
Patel, M., Coshall, C., Rudd, A. G. & Wolfe, C. D. (2001). Natural history and effects on 2-year outcomes of urinary incontinence after stroke. Stroke, 32 (1), 122127.Google Scholar
Pettersen, R, Haig, Y, Nakstad, P. H. & Wyller, T. B. (2008). Subtypes of urinary incontinence after stroke: relation to size and location of cerebrovascular damage. Age and Ageing, 37 (3), 324327.Google Scholar
Pettersen, R., Saxby, B. K. & Wyller, T. B. (2007a). Poststroke urinary incontinence: one-year outcome and relationships with measures of attentiveness. Journal of the American Geriatrics Society, 55, 15711577.Google Scholar
Pettersen, R., Stien, R. & Wyller, T. B. (2007b). Post-stroke urinary incontinence with impaired awareness of the need to void: clinical and urodynamic features. BJU International, 99 (5), 10731077.CrossRefGoogle ScholarPubMed
Pettersen, R. & Wyller, T. B. (2006). Prognostic significance of micturition disturbances after acute stroke. Journal of the American Geriatrics Society, 54 (12), 18781884.Google Scholar
RN, J. C. G. (2003). Urinary Incontinence After stroke evaluation and behavioral treatment. Topics in Geriatric Rehabilitation, 19 (1), 6083.Google Scholar
Sasaki, T., Kojima, T., Kanaya, K., Yamada, K., Shibahara, M., Oikawa, N. & Sugihara, S. (2014). Reliability, validity, and factor structure of the Cognitive Behavioral Rating Scale for stroke patients. International Journal of Rehabilitation Research, 37 (4), 343–8.Google Scholar
Taub, N. A., Wolfe, C. D., Richardson, E. & Burney, P. G. (1994). Predicting the disability of first-time stroke sufferers at 1 year. 12-month follow-up of a population-based cohort in southeast England. Stroke, 25 (2), 352357.Google Scholar
Thompson, B. (1995). Stepwise regression and stepwise discriminant analysis need not apply here: a guidelines editorial. Educational and Psychological Measurement, 55 (4), 525534.Google Scholar
Tobin, G. W. & Brocklehurst, J. C. (1986) The management of urinary incontinence in local authority residential homes for the elderly. Age and Ageing, 15 (5), 292298.CrossRefGoogle ScholarPubMed
Tsuji, T., Liu, M., Sonoda, S., Domen, K. & Chino, N. (2000). The stroke impairment assessment set: its internal consistency and predictive validity. Archives of Physical Medicine and Rehabilitation, 81 (7), 863868.Google Scholar
Van Kuijk, A. A., Van Der LInde, H. & Van Limbeek, J. (2001). Urinary incontinence in stroke patients after admission to a postacute inpatient rehabilitation program. Archives of Physical Medicine and Rehabilitation, 82 (10), 14071411.CrossRefGoogle ScholarPubMed
Wade, D. T. & Hewer, R. L. (1985). Outlook after an acute stroke: urinary incontinence and loss of consciousness compared in 532 patients. QJM: An International Journal of Medicine, 56 (221), 601608.Google Scholar