Literature DB >> 30565877

Randomised controlled trials as part of clinical care: A seven-step routinisation framework proposal.

Victoria Team1, Carolina D Weller1.   

Abstract

Evidence translation in wound care relies on the need for evidence generation. Clinical practice may generate evidence only if evidence-generating research projects, such as randomised controlled trials (RCTs), became routinised in clinical settings. The aim of this study was to identify optimal trial-related practices to routinise trial-related activities in Melbourne-located wound clinics as reported by clinicians and researchers. We conducted a secondary analysis of the available data on how to routinise RCTs in clinical care, with a focus on enablers and suggestions provided by the participants during face-to-face and telephone interviews. Data were obtained from a qualitative observational study nested within a randomised, double-blinded, placebo-controlled trial on clinical effectiveness of aspirin as an adjunct to compression therapy in healing chronic venous leg ulcers (ASPiVLU). We developed a seven-step Routinisation of Trials in Clinical Care Framework. These steps include: (1) pre-trial clinical site assessment, (2) optimising pre-recruitment arrangements, (3) developing and updating trial-related skills, (4) embedding RCT recruitment as part of routine clinical care, (5) promoting teamwork and trial-related collaboration, (6) addressing trial-related financial issues, and (7) communicating trial results to clinicians.
© 2018 Medicalhelplines.com Inc and John Wiley & Sons Ltd.

Entities:  

Keywords:  evidence-based practice; evidence-generating practice; routinisation of RCTs; venous leg ulcers; wound care

Mesh:

Year:  2018        PMID: 30565877      PMCID: PMC7948918          DOI: 10.1111/iwj.13053

Source DB:  PubMed          Journal:  Int Wound J        ISSN: 1742-4801            Impact factor:   3.315


  75 in total

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3.  Motivated by money? The impact of financial incentive for the research team on study recruitment.

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4.  Nurse Practitioners' attitudes about cancer clinical trials and willingness to recommend research participation.

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Authors:  J Haxby Abbott
Journal:  J Orthop Sports Phys Ther       Date:  2014-08       Impact factor: 4.751

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8.  A new simple six-step model to promote recruitment to RCTs was developed and successfully implemented.

Authors:  Alba Realpe; Ann Adams; Peter Wall; Damian Griffin; Jenny L Donovan
Journal:  J Clin Epidemiol       Date:  2016-02-17       Impact factor: 6.437

9.  Identifying trial recruitment uncertainties using a James Lind Alliance Priority Setting Partnership - the PRioRiTy (Prioritising Recruitment in Randomised Trials) study.

Authors:  Patricia Healy; Sandra Galvin; Paula R Williamson; Shaun Treweek; Caroline Whiting; Beccy Maeso; Christopher Bray; Peter Brocklehurst; Mary Clarke Moloney; Abdel Douiri; Carrol Gamble; Heidi R Gardner; Derick Mitchell; Derek Stewart; Joan Jordan; Martin O'Donnell; Mike Clarke; Sue H Pavitt; Eleanor Woodford Guegan; Amanda Blatch-Jones; Valerie Smith; Hannah Reay; Declan Devane
Journal:  Trials       Date:  2018-03-01       Impact factor: 2.279

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Authors:  Susan O'Meara; Nicky Cullum; E Andrea Nelson; Jo C Dumville
Journal:  Cochrane Database Syst Rev       Date:  2012-11-14
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  3 in total

1.  Randomised controlled trials as part of clinical care: A seven-step routinisation framework proposal.

Authors:  Victoria Team; Carolina D Weller
Journal:  Int Wound J       Date:  2018-12-19       Impact factor: 3.315

2.  Rationale for participation in venous leg ulcer clinical research: Patient interview study.

Authors:  Carolina D Weller; Catelyn Richards; Louise Turnour; Victoria Team
Journal:  Int Wound J       Date:  2020-07-13       Impact factor: 3.315

3.  Strategies for facilitating the delivery of cluster randomized trials in hospitals: A study informed by the CFIR-ERIC matching tool.

Authors:  Arielle Weir; Justin Presseau; Simon Kitto; Ian Colman; Simon Hatcher
Journal:  Clin Trials       Date:  2021-04-16       Impact factor: 2.486

  3 in total

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