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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Brain Impairmentarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Brain Impairment
Article . 2008 . Peer-reviewed
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Predicting Compliance With Treatment Following Stroke: A New Model of Adherence Following Rehabilitation

Authors: Nicolene Coetzee; David Andrewes; Fary Khan; Tom Hale; Lisanne Jenkins; Nadina Lincoln; Peter Disler;

Predicting Compliance With Treatment Following Stroke: A New Model of Adherence Following Rehabilitation

Abstract

AbstractBackground and purpose: Adherence to medication is fundamental to optimal health recovery yet compliance to medication rates are lower than 50% in most studies. This study aimed to investigate the correlates of adherence in stroke patients. Method: Twenty-six stroke patients and 29 amputee patients who had completed a rehabilitation program at Melbourne Rehabilitation Centre were investigated. Medical adherence was determined from computed adherence metrics based on pill counts and subjective reports of patient knowledge of medication use. Model components that were believed to contribute to poor adherence, included emotional and cognitive dysfunction, beliefs about medication, and social support. These factors were assessed by patient and partner self-rating questionnaires. Results: Stroke patients showed a lower level of adherence compared to amputee patients. Cognitive and emotional dysfunction, beliefs about medication, and the level of care were significantly associated with low adherence to medicine regimes in stroke patients. Level of cognitive impairment and emotional impairment were significantly associated with low adherence to medicines in amputee patients. Emotional dysfunction was the best predictor of poor adherence in both patient groups. Conclusion: The findings are in keeping with past adherence studies with other patient groups and support the position that emotional, cognitive, and social factors are important factors in adherence. The specific nonadherence profile for this brain-damaged group is modeled and the application for outpatients following rehabilitation is discussed.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
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