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Structured relearning of activities of daily living in dementia: the randomized controlled REDALI-DEM trial on errorless learning

Errorless learning (EL) is a method for optimizing learning, which uses feed-forward instructions in order to prevent people from making mistakes during the learning process. The majority of previous studies on EL taught patients with dementia artificial tasks of little or no relevance for their dai...

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Hauptverfasser: Voigt-Radloff, Sebastian (VerfasserIn) , Hausner, Lucrezia (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 23 March 2017
In: Alzheimer's research & therapy
Year: 2017, Jahrgang: 9
ISSN:1758-9193
DOI:10.1186/s13195-017-0247-9
Online-Zugang:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1186/s13195-017-0247-9
Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13195-017-0247-9
Volltext
Verfasserangaben:Sebastian Voigt-Radloff, Maartje M.E. de Werd, Rainer Leonhart, Danielle H.E. Boelen, Marcel G.M. Olde Rikkert, Klaus Fliessbach, Stefan Klöppel, Bernhard Heimbach, Andreas Fellgiebel, Richard Dodel, Gerhard W. Eschweiler, Lucrezia Hausner, Roy P.C. Kessels, Michael Hüll
Beschreibung
Zusammenfassung:Errorless learning (EL) is a method for optimizing learning, which uses feed-forward instructions in order to prevent people from making mistakes during the learning process. The majority of previous studies on EL taught patients with dementia artificial tasks of little or no relevance for their daily lives. Furthermore, only a few controlled studies on EL have so far been performed and just a handful of studies have examined the long-term effects of EL. Tasks were not always trained in the patients’ natural or home environment, limiting the external validity of these studies. This multicenter parallel randomized controlled trial examines the effects of EL compared with trial and error learning (TEL) on the performance of activities of daily living in persons with Alzheimer’s or mixed-type dementia living at home.
Beschreibung:Gesehen am 04.09.2018
Beschreibung:Online Resource
ISSN:1758-9193
DOI:10.1186/s13195-017-0247-9

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