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Implementation of evidence-based weekend service recommendations for allied health managers: a cluster randomised controlled trial protocol
- Source :
- Implementation Science : IS, Implementation Science, Vol 13, Iss 1, Pp 1-14 (2018)
- Publication Year :
- 2018
- Publisher :
- BioMed Central, 2018.
-
Abstract
- Background 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. Methods 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. Discussion 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. Trial registration This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12618000029291). Universal Trial Number (UTN): U1111-1205-2621. Electronic supplementary material The online version of this article (10.1186/s13012-018-0752-7) contains supplementary material, which is available to authorized users.
- Subjects :
- Knowledge broker
Evidence-based practice
Allied Health Personnel
Personnel Staffing and Scheduling
Health Informatics
Health informatics
Allied health
Health administration
03 medical and health sciences
Study Protocol
Evidence-informed decision-making
0302 clinical medicine
After-Hours Care
Clinical Protocols
Health care
Medicine
Humans
030212 general & internal medicine
Cluster randomised controlled trial
Resource allocation
Health policy
Evidence
Medical education
lcsh:R5-920
business.industry
030503 health policy & services
Health Policy
Research
Public Health, Environmental and Occupational Health
Health services research
Australia
General Medicine
Health Care Costs
Recommendation
3. Good health
Outcome and Process Assessment, Health Care
Research Design
Implementation
Weekend
Evidence-Based Practice
Health Services Research
0305 other medical science
business
lcsh:Medicine (General)
Decision-making
New Zealand
Subjects
Details
- Language :
- English
- ISSN :
- 17485908
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Implementation Science : IS
- Accession number :
- edsair.doi.dedup.....435278517eeead3955a6e9f457202e1a