Document Detail


Improving effectiveness of clinical medicine: the need for better translation of science into practice.
MedLine Citation:
PMID:  23025728     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Published research evidence does not automatically diffuse into clinical practice but requires active processes of translation that start with clinicians' awareness of the science and end with patient adherence to the recommended care. Many barriers thwart the uptake of valid and clinically important research into practice, with cognitive, motivational and sociological factors on the part of health professionals being among the most important. Encouraging clinicians to question the level of scientific certainty underpinning clinical practice and to actively seek evidence that may better inform clinical decisions is a priority for improving health care effectiveness. Although there are effective strategies for improving translation of research into practice, implementing them requires agreement between and buy-in from professional and managerial stakeholders.
Authors:
Ian A Scott; Paul P Glasziou
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Medical journal of Australia     Volume:  197     ISSN:  1326-5377     ISO Abbreviation:  Med. J. Aust.     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-02     Completed Date:  2012-12-10     Revised Date:  2013-02-28    
Medline Journal Info:
Nlm Unique ID:  0400714     Medline TA:  Med J Aust     Country:  Australia    
Other Details:
Languages:  eng     Pagination:  374-8     Citation Subset:  IM    
Affiliation:
Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, QLD, Australia. ian_scott@health.qld.gov.au
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MeSH Terms
Descriptor/Qualifier:
Clinical Medicine / standards*
Humans
Practice Guidelines as Topic
Quality Improvement*
Translational Medical Research*
Comments/Corrections
Comment In:
Med J Aust. 2013 Jan 21;198(1):26   [PMID:  23330765 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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