Evaluation and validation of social and psychological markers in randomised trials of complex interventions

Lead Research Organisation: University of Manchester
Department Name: Medical and Human Sciences

Abstract

The general public is exposed through the media to countless claims concerning the efficacy of counselling and various forms of psychotherapy for the treatment of depression and other mental health and personal problems. Health service providers are under increasing pressure to increase the availability of counselling and psychotherapy. There is clearly a need to design and implement controlled clinical trials to test whether these therapies work. It is equally clear that we need to develop and implement research projects that can tell us how these therapies work, what are the sources in the variability in responses to therapy and how these might be manipulated so that the therapies can be refined and improved. Equally, if a particular form of therapy does not appear to be very effective, we can use the same sources of information to develop an improved version that might be.

Technical Summary

This is a proposal for the development, evaluation and dissemination of statistical and econometric methods for the design of explanatory trials of psychological treatments and the explanatory analysis of the clinical and economic endpoints arising from these trials. We are concerned with making valid causal inferences about the mechanisms of treatment-induced change in clinical and economic outcomes. The present project is focussed on the use of social and psychological markers to assess treatment-effect mediation. The proposed programme of work has three integrated components: (1) the extension of instrumental variable methods to latent growth curve models and growth mixture models for repeated measures data, (2) the development of designs and meta-analytic/meta-regression methods for parallel trials, and (3) the evaluation the sensitivity/robustness of findings to the assumptions necessary for model identifiability. A core feature of the programme will be the development trial designs of involving alternative randomizations to different interventions targeted on specified mediators.

Publications

10 25 50

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Emsley, Richard (2013) Advances in Latent Variables

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Farnell DJ (2011) Measurement error in statistical models of shape. in Computer methods and programs in biomedicine

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Mok PL (2014) Longitudinal trajectories of peer relations in children with specific language impairment. in Journal of child psychology and psychiatry, and allied disciplines

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Pickles A (2014) Heterogeneity and plasticity in the development of language: a 17-year follow-up of children referred early for possible autism. in Journal of child psychology and psychiatry, and allied disciplines

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Wearden AJ (2013) Mediators of the effects on fatigue of pragmatic rehabilitation for chronic fatigue syndrome. in Journal of consulting and clinical psychology

 
Title SoftwareScripts 
Description Web-downloadable software scripts, teaching and workshop materials. 
Type Of Material Data analysis technique 
Year Produced 2009 
Provided To Others? Yes  
Impact None yet. 
 
Description MRC North West Trials Methodology Research Hub 
Organisation University of Liverpool
Country United Kingdom 
Sector Academic/University 
PI Contribution Co-investigatorss. Theme co-lead. Our research theme: integration of biomarkers in efficacy and mechanisms evaluation (EME) trials of targeted therapies.
Collaborator Contribution University of Liverpool leads the Hub.
Impact None. - too early.
Start Year 2013
 
Description Workshop at ViCBiostats in Melbourne 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Delivered workshop in Melbourne. Since invited to join grant applications in Australia to NHMRC.
Year(s) Of Engagement Activity 2015