The evaluation of a tailored intervention to improve the management of suspected viral encephalitis:protocol for a cluster randomised controlled trial

Backman, Ruth and Foy, Robbie and Diggle, Peter J. and Kneen, Rachel and Defres, Sylviane and Michael, Benedict and Medina-Lara, Antonieta and Solomon, Tom (2015) The evaluation of a tailored intervention to improve the management of suspected viral encephalitis:protocol for a cluster randomised controlled trial. Implementation Science, 10 (1). ISSN 1748-5908

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Abstract

BackgroundViral encephalitis is a devastating condition for which delayed treatment is associated with increased morbidity and mortality. Clinical audits indicate substantial scope for improved detection and treatment. Improvement strategies should ideally be tailored according to identified needs and barriers to change. The aim of the study is to evaluate the effectiveness and cost-effectiveness of a tailored intervention to improve the secondary care management of suspected encephalitis.Methods/designThe study is a two-arm cluster randomised controlled trial with allocation by postgraduate deanery. Participants were identified from 24 hospitals nested within 12 postgraduate deaneries in the United Kingdom (UK). We developed a multifaceted intervention package including core and flexible components with embedded behaviour change techniques selected on the basis of identified needs and barriers to change. The primary outcome will be a composite of the proportion of patients with suspected encephalitis receiving timely and appropriate diagnostic lumbar puncture within 12 h of hospital admission and aciclovir treatment within 6 h. We will gather outcome data pre-intervention and up to 12 months post-intervention from patient records. Statistical analysis at the cluster level will be blind to allocation. An economic evaluation will estimate intervention cost-effectiveness from the health service perspective.Trial registrationControlled Trials: ISRCTN06886935.

Item Type:
Journal Article
Journal or Publication Title:
Implementation Science
Additional Information:
© 2015 Backman et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700
Subjects:
ID Code:
73764
Deposited By:
Deposited On:
18 Jun 2015 05:44
Refereed?:
Yes
Published?:
Published
Last Modified:
08 Aug 2020 04:17