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  • Poster presentation
  • Open Access

Analysis and reporting of trials which randomise couples to therapy based interventions: how should we do it?

  • 1 and
  • 1
Trials201516(Suppl 2):P6

https://doi.org/10.1186/1745-6215-16-S2-P6

Published: 16 November 2015

Keywords

  • Public Health
  • Regression Model
  • Statistical Method
  • Parenting Class
  • Usual Care

The evaluation of therapy-based interventions often involves interventions which are delivered to both couples and individuals (e.g. parenting classes).

In these circumstances; it seems ly that the effectiveness of the intervention could depend on the skill of the therapist delivering it; as well as the interactions between the couples receiving the therapy. This leads to a potential clustering of the outcomes for the participants being treated by the same therapist and within the same couple.

If the outcomes are clustered then the usual statistical methods for analysing RCT data to compare outcomes between the intervention and control groups, may not be appropriate as they assume that the observed outcomes on different participants are independent.

The Lifestyle Matters (LM) trial is a pragmatic, two-arm, parallel group, individually randomised controlled trial, to evaluate the effectiveness of the LM intervention, to promote healthy ageing, compared to usual care in people aged 65 or more.

The Lifestyle Matters intervention consists of up to 16 weekly group (size 8 to 16 participants) sessions and four individual sessions with a facilitator.

The Lifestyle matters study randomised 288 individuals (145 Intervention: 143 control) of whom 18 were couples (9 Intervention: 9 Control) and followed them up for 24 months.

Using the Lifestyle Matters trial as an example this talk will describe and compare the different ways of analysing (including multilevel mixed-effects regression models) and reporting trials which randomise individuals and couples to therapy based interventions.

Authors’ Affiliations

(1)
University of Sheffield, Sheffield, UK

Copyright

© Walters and Lee 2015

This article is published under license to BioMed Central Ltd. 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 cited. 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.

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