Literature DB >> 17148534

Design of trials with dying patients: a feasibility study of cluster randomisation versus randomised consent.

A Fowell1, R Johnstone, I G Finlay, D Russell, I T Russell.   

Abstract

There is little rigorous evidence to underpin clinical guidelines for palliative care. However, research in palliative care is difficult, especially with dying patients. Consent is a major issue, since staff do not wish to invite dying patients to participate in trials. We, therefore, conducted a feasibility study in two units within the North West Wales NHS Trust. We explored two novel approaches to research in palliative care -cluster randomisation and randomised consent. All patients admitted to the two units during the study were asked for permission to use their data for research. We allocated the two units, at random, to use cluster randomisation or randomised consent for three months, and then to crossover to the other design. Of 24 patients dying during cluster-randomised phases, 13 gave consent on admission to use their data and were, thus, eligible to enter the trial; however, defined eligibility criteria reduced these to six active participants. Of 29 patients dying during randomised consent phases, seven gave consent on admission to use their data; although two were eligible for randomisation, neither entered the trial. We judge that cluster randomisation is the more effective design for research with dying patients. Computer simulation, based on data from 1500 dying patients on the Welsh Integrated Care Pathway, shows that crossover cluster trials need much smaller samples than simple cluster trials. Furthermore, this study has shown that crossover cluster trials are entirely feasible. We recommend a 'definitive' trial to test the crossover design more widely.

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Year:  2006        PMID: 17148534     DOI: 10.1177/0269216306072554

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


  8 in total

1.  Challenges in Implementing Hospice Clinical Trials: Preserving Scientific Integrity While Facing Change.

Authors:  Debra Parker Oliver; Karla T Washington; George Demiris; Patrick White
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2.  Processes of consent in research for adults with impaired mental capacity nearing the end of life: systematic review and transparent expert consultation (MORECare_Capacity statement).

Authors:  C J Evans; E Yorganci; P Lewis; J Koffman; K Stone; I Tunnard; B Wee; W Bernal; M Hotopf; I J Higginson
Journal:  BMC Med       Date:  2020-07-22       Impact factor: 8.775

Review 3.  Strategies to improve recruitment to randomised trials.

Authors:  Shaun Treweek; Marie Pitkethly; Jonathan Cook; Cynthia Fraser; Elizabeth Mitchell; Frank Sullivan; Catherine Jackson; Tyna K Taskila; Heidi Gardner
Journal:  Cochrane Database Syst Rev       Date:  2018-02-22

4.  Mixed methods research in the development and evaluation of complex interventions in palliative and end-of-life care: report on the MORECare consensus exercise.

Authors:  Morag Farquhar; Nancy Preston; Catherine J Evans; Gunn Grande; Vicky Short; Hamid Benalia; Irene J Higginson; Chris Todd
Journal:  J Palliat Med       Date:  2013-11-06       Impact factor: 2.947

5.  Methods to improve recruitment to randomised controlled trials: Cochrane systematic review and meta-analysis.

Authors:  Shaun Treweek; Pauline Lockhart; Marie Pitkethly; Jonathan A Cook; Monica Kjeldstrøm; Marit Johansen; Taina K Taskila; Frank M Sullivan; Sue Wilson; Catherine Jackson; Ritu Jones; Elizabeth D Mitchell
Journal:  BMJ Open       Date:  2013-02-07       Impact factor: 2.692

6.  Improving the quality of palliative and terminal care in the hospital by a network of palliative care nurse champions: the study protocol of the PalTeC-H project.

Authors:  Frederika E Witkamp; Lia van Zuylen; Paul J van der Maas; Helma van Dijk; Carin C D van der Rijt; Agnes van der Heide
Journal:  BMC Health Serv Res       Date:  2013-03-25       Impact factor: 2.655

7.  Guidelines for reporting embedded recruitment trials.

Authors:  Vichithranie W Madurasinghe
Journal:  Trials       Date:  2016-01-14       Impact factor: 2.279

8.  Implementation of a complex intervention to improve care for patients whose situations are clinically uncertain in hospital settings: A multi-method study using normalisation process theory.

Authors:  Halle Johnson; Emel Yorganci; Catherine J Evans; Stephen Barclay; Fliss E M Murtagh; Deokhee Yi; Wei Gao; Elizabeth L Sampson; Joanne Droney; Morag Farquhar; Jonathan Koffman
Journal:  PLoS One       Date:  2020-09-16       Impact factor: 3.240

  8 in total

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