2006
DOI: 10.1097/01.mrr.0000194391.11031.50
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The predictive factors for length of stay for stroke patients in Taiwan using the path model

Abstract: The aim of this study was to examine the predictive factors, and their relative strengths, for predicting length of rehabilitation stay using the path model. One hundred and seventeen stroke patients were recruited from two rehabilitation units in university-affiliated hospitals in northern Taiwan. The Taiwanese Rehabilitation Database System was used to collect the patient's relevant information. Path analysis was used to explore the relative strengths of each predictive factor. The results showed that the ab… Show more

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Cited by 11 publications
(7 citation statements)
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“…The ALOS and RLOS for stroke in our study are similar to those in North America, but shorter than in Japan 13,20,21 . Specifically, the RLOS is relatively short compared to another local stroke rehabilitation cohort and this may represent less complex stroke patients, better initial AFIM scores hence requiring less rehabilitation or it may simply reflect better rehabilitation efficiency 7 .…”
Section: Discussionsupporting
confidence: 74%
“…The ALOS and RLOS for stroke in our study are similar to those in North America, but shorter than in Japan 13,20,21 . Specifically, the RLOS is relatively short compared to another local stroke rehabilitation cohort and this may represent less complex stroke patients, better initial AFIM scores hence requiring less rehabilitation or it may simply reflect better rehabilitation efficiency 7 .…”
Section: Discussionsupporting
confidence: 74%
“…Many factors have been shown to influence acute or rehabilitation stroke LOS, including admission Functional Independence Measure (FIM) score [8][9][10][11], stroke severity [12,13], Barthel Index score [14], ability to perform activities of daily living [15], high therapy intensity [16], and comorbid medical conditions and complications [17]. Psychosocial factors such as pre-or post-stroke depression [18], socioeconomic status [9], presence and/or type of health insurance [19,20], access to home-based community services [21] or long-term care placement [22], family support [9], and presence of a spouse or caregiver [23] have also been shown to influence LOS.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, there have been few studies on LOS and its determinants in the Western world. Most previous studies have been performed on rehabilitation patients (1–4) or on non‐community‐based samples of patients (5, 6). To improve upon this scarcity, the basis of this study was an unselected group of first‐ever stroke patients.…”
mentioning
confidence: 99%