Literature DB >> 18503800

Prediction of discharge destination after stroke using the motor assessment scale on admission: a prospective, multisite study.

Sandra G Brauer1, Paul G Bew, Suzanne S Kuys, Mary R Lynch, Greg Morrison.   

Abstract

OBJECTIVE: To determine if admission functional status, measured with the Motor Assessment Scale (MAS), was predictive of discharge destination to home or residential aged care in patients with stroke undergoing rehabilitation.
DESIGN: Cohort study.
SETTING: Inpatient rehabilitation units. PARTICIPANTS: Adults (N=566) diagnosed with stroke undergoing inpatient physiotherapy at one of 15 units in Australia. INTERVENTION: Multidisciplinary rehabilitation. MAIN OUTCOME MEASURE: Discharge home versus residential aged care.
RESULTS: Prestroke residential status, gait ability measured with the MAS (MAS-5), rolling ability (MAS-1), and age were able to correctly predict 99% of patients with stroke discharged home and 33.3% discharged to residential aged care facilities, producing an accuracy of 87.3%. Odds ratios indicate that for every 1-point increase in MAS-5 (gait), subjects were 1.66 times more likely to go home (95% confidence interval [CI], 1.28-2.27; P<.001). Similarly, for every 1-point increase in MAS-1 (rolling), subjects were 1.28 times more likely to go home (95% CI, 1.11-1.49; P<.01).
CONCLUSIONS: Two items of the MAS assessed on admission to rehabilitation-gait and rolling-in conjunction with basic demographic information of age and prestroke residential status, were highly predictive of discharge from rehabilitation to home.

Entities:  

Mesh:

Year:  2008        PMID: 18503800     DOI: 10.1016/j.apmr.2007.10.042

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  11 in total

1.  Impact of spatial neglect on stroke rehabilitation: evidence from the setting of an inpatient rehabilitation facility.

Authors:  Peii Chen; Kimberly Hreha; Yekyung Kong; A M Barrett
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2.  Assessing the risk for falls among Portuguese community-dwelling stroke survivors. Are we using the better tools? Observational study.

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Authors:  Irma H J Everink; Jolanda C M van Haastregt; Sofie J M van Hoof; Jos M G A Schols; Gertrudis I J M Kempen
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5.  Intensive Care at Home: An Opportunity or Threat.

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6.  Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities.

Authors:  Neal Rakesh; Daniel Boiarsky; Ammar Athar; Shaliesha Hinds; Joel Stein
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

7.  Premorbid instrumental activities of daily living predicts discharge home following stroke.

Authors:  Takeshi Satow; Taro Komuro; Masafumi Ogawa
Journal:  eNeurologicalSci       Date:  2020-01-31

8.  Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement.

Authors:  Ineen Sultana; Madhav Erraguntla; Hye-Chung Kum; Dursun Delen; Mark Lawley
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-14       Impact factor: 2.796

9.  A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields.

Authors:  Ruoyu Liu; Xin Lai; Jiayin Wang; Xuanping Zhang; Xiaoyan Zhu; Paul B S Lai; Ci-Ren Guo
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-30       Impact factor: 2.796

10.  Rasch analysis of a new hierarchical scoring system for evaluating hand function on the motor assessment scale for stroke.

Authors:  Joyce S Sabari; Michelle Woodbury; Craig A Velozo
Journal:  Stroke Res Treat       Date:  2014-08-07
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