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Title: Implementation of evidence-based weekend service recommendations for allied health managers: a cluster randomised controlled trial protocol.
Austin Authors: Sarkies, Mitchell N;White, Jennifer;Morris, Meg E;Taylor, Nicholas F;Williams, Cylie;O'Brien, Lisa;Martin, Jenny;Bardoel, Anne;Holland, Anne E ;Carey, Leeanne M ;Skinner, Elizabeth H;Bowles, Kelly-Ann;Grant, Kellie;Philip, Kathleen;Haines, Terry P
Affiliation: Monash University, Frankston, Victoria, Australia
Monash University and Monash Health Allied Health Research Unit, Kingston Centre, Heatherton, Victoria, Australia
School of Arts, Social Sciences and Humanities, Swinburne University, Hawthorn, Victoria, Australia
Department of Health and Human Services, Melbourne, Victoria, Australia
La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Bundoora, Australia
North Eastern Rehabilitation Centre, Healthscope Australia, Melbourne, Australia
Allied Health Clinical Research Office, Eastern Health, Box Hill, Australia
Peninsula Health, Frankston, Victoria, Australia
Department of Occupational Therapy, Monash University, Frankston, Victoria, Australia
Department of Management and Marketing, Swinburne University, Hawthorn, Victoria, Australia
Alfred Health and La Trobe University, Melbourne, Australia
Occupational Therapy, School of Allied Health, La Trobe University, Bundoora, Victoria,Australia
The Florey Institute of Neuroscience and Mental Health, Neurorehabilitation and Recovery, Heidelberg, Victoria, Australia
Issue Date: 24-Apr-2018 2018-04-24
Publication information: Implementation science : IS 2018; 13(1): 60
Abstract: It is widely acknowledged that health policy and practice do not always reflect current research evidence. Whether knowledge transfer from research to practice is more successful when specific implementation approaches are used remains unclear. A model to assist engagement of allied health managers and clinicians with research implementation could involve disseminating evidence-based policy recommendations, along with the use of knowledge brokers. We developed such a model to aid decision-making for the provision of weekend allied health services. This protocol outlines the design and methods for a multi-centre cluster randomised controlled trial to evaluate the success of research implementation strategies to promote evidence-informed weekend allied health resource allocation decisions, especially in hospital managers. This multi-centre study will be a three-group parallel cluster randomised controlled trial. Allied health managers from Australian and New Zealand hospitals will be randomised to receive either (1) an evidence-based policy recommendation document to guide weekend allied health resource allocation decisions, (2) the same policy recommendation document with support from a knowledge broker to help implement weekend allied health policy recommendations, or (3) a usual practice control group. The primary outcome will be alignment of weekend allied health service provision with policy recommendations. This will be measured by the number of allied health service events (occasions of service) occurring on weekends as a proportion of total allied health service events for the relevant hospital wards at baseline and 12-month follow-up. Evidence-based policy recommendation documents communicate key research findings in an accessible format. This comparatively low-cost research implementation strategy could be combined with using a knowledge broker to work collaboratively with decision-makers to promote knowledge transfer. The results will assist managers to make decisions on resource allocation, based on evidence. More generally, the findings will inform the development of an allied health model for translating research into practice. This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) ( ACTRN12618000029291 ). Universal Trial Number (UTN): U1111-1205-2621.
DOI: 10.1186/s13012-018-0752-7
Journal: Implementation science : IS
PubMed URL: 29690882
Type: Journal Article
Subjects: Allied health
Evidence-informed decision-making
Knowledge broker
Resource allocation
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