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A Multi-state, Multi-site, Multi-sector Healthcare Improvement Model: Implementing Evidence for Practice

Overview
Specialty Health Services
Date 2017 Oct 10
PMID 28992157
Citations 6
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Abstract

Quality Problem Or Issue: Healthcare is complex and we know that evidence takes nearly 20 years to find its way into clinical practice.

Initial Assessment: The slow process of translating research points to the need for effective translational research models to ensure patient care quality and safety are not compromised by such an epistemic failure.

Choice Of Solution: Our model to achieve reasonably rapid and enduring improvements to clinical care draws on that developed and promulgated by the Institute for Healthcare Improvement in the United States of America model as well as that developed by the Johns Hopkins Quality and Safety Group known as the Translating Research into Practice implementation model.

Implementation: The core principle of our hybrid model was to engage those most likely to be affected by the changes being introduced through a series of face-to-face and web-enabled meetings that act both as drivers of information but also as a means of engaging all stakeholders across the healthcare system involved in the change towards their pre-established goals.

Evaluation: The model was piloted on the focused topic of the management of inadvertent perioperative hypothermia across nine hospitals within Australia (four sites in Victoria, three sites in New South Wales and two sites in Queensland). Improvement in management of hypothermia in these patients was achieved and sustained over time.

Lessons Learned: Our model aims to engage the hearts and minds of healthcare clinicians, and others in order to empower them to make the necessary improvements to enhance patient care quality and safety.

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Lessons Learned From a Systematic, Hospital-Wide Implementation of the ABCDEF Bundle: A Survey Evaluation.

Brown J, Ding L, Querubin J, Peden C, Barr J, Cobb J Crit Care Explor. 2023; 5(11):e1007.

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Identification of knowledge translation theories, models or frameworks suitable for health technology reassessment: a survey of international experts.

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Coles E, Anderson J, Maxwell M, Harris F, M Gray N, Milner G Syst Rev. 2020; 9(1):94.

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