2009
DOI: 10.1136/qshc.2007.024471
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A pilot study testing a medication algorithm to reduce polypharmacy

Abstract: A collaborative approach to reducing polypharmacy may reverse the trend to add medications during hospitalization.

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Cited by 17 publications
(33 citation statements)
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“…The first study involved adult patients admitted to a psychiatric unit of a regional hospital in the USA 40. The algorithm attempted to optimise single-drug regimens, where appropriate, and to eliminate redundant or ineffective medications.…”
Section: Resultsmentioning
confidence: 99%
“…The first study involved adult patients admitted to a psychiatric unit of a regional hospital in the USA 40. The algorithm attempted to optimise single-drug regimens, where appropriate, and to eliminate redundant or ineffective medications.…”
Section: Resultsmentioning
confidence: 99%
“…The electronic search yielded a total of nine studies [7][8][9][10][11][12][13][14][15], focused on the impact of different clinical guideline implementation strategies on provider performance in specialist mental healthcare settings (Table 1).…”
Section: Impact Of Guideline Implementation Strategies On Process Outmentioning
confidence: 99%
“…Mistler et al [9] examined the feasibility of reducing redundant psychotropic medications by using an evidence-based algorithm for acute psychiatric inpatients already receiving coprescriptions of different psychotropic drugs. The algorithm was based on principles of collaborative care.…”
Section: Rate Of Polypharmacymentioning
confidence: 99%
“…This paper aims to describe the background and history as well as the concepts and the current status of comedication/ polypharmacy, focusing on the field of schizophrenia and depression. Generally speaking, comedication/ polypharmacy is a very common phenomenon for different reasons, and is difficult to reduce (Stahl, 1999a, b;Viola et al, 2004;Biancosino et al, 2005;Barbui et al, 2006;Russell et al, 2006;Megna et al, 2007;Pandurangi and Dalkilic, 2008;Thompson et al, 2008;Alda and Yatham, 2009;Glezer et al, 2009;Goldberg et al, 2009;McIntyre and Jerrell, 2009;Mistler et al, 2009;Shelton et al, 2010).…”
Section: Introductionmentioning
confidence: 98%