Published 6 October 2008, doi:10.1136/bmj.a1714
Cite this as: BMJ 2008;337:a1714

Analysis

Translating evidence into practice: a model for large scale knowledge translation

¹ Department of Anesthesiology and Critical Care Medicine, Johns Hopkins Quality and Safety Research Group, 1909 Thames Street, Baltimore, MD 21231, USA, ² Division of Pulmonary and Critical Care Medicine, Baltimore, MD 21287, USA

Changes that can improve patients’ health are often difficult to get into practice, even when backed by good evidence. Peter Pronovost, Sean Berenholtz, and Dale Needham describe a collaborative model that has been shown to work

The first 150 words of the full text of this article appear below.

Evidence based therapies that prevent morbidity or death are often not translated into clinical practice. One reason is that research often neglects how to deliver therapies to patients.¹ Consequently, errors of omission are prevalent and cause substantial preventable harm.²

Attempts to increase the reliable use of evidence based therapies have generally focused on changing doctors’ behaviour.³ However, doctors work in a healthcare team within a larger hospital system, which must be considered when attempting to improve the reliability of patient care.

Models to increase the reliable use of evidence based therapies typically focus on translating evidence into practice or on the best methods to run a collaborative; few if any have done both.⁴ Our model embeds an explicit method for knowledge translation in a collaborative model for broader dissemination of knowledge into practice.

We have described an integrated approach to improve the reliability of care⁵ that has been associated with . . . [Full text of this article]

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