Cited by 7Health Policy Implementation ScienceStatistical Methods in Clinical TrialsEvaluation and Performance Assessment

How much does pre-trial testing influence complex intervention trials and would more testing make any difference? An email survey

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Treweek, Shaun, Sullivan, Frank·2006·BMC Medical Research Methodology

Abstract

BACKGROUND: The UK Medical Research Council has proposed that complex interventions should be tested in exploratory trials prior to a full-scale trial so as to better define the intervention and test the feasibility of components such as recruitment. It is not clear to what extent this is being done. This study aimed to determine to what extent complex interventions are tested prior to a full-scale trial and whether more or different testing would have led to a different intervention being used in the trial. METHODS: Email survey of the authors of complex intervention trials published in seven major journals in 2004. RESULTS: 72% (50/69) of eligible authors replied. Eight authors did not consider their interventions to be complex. The majority of respondents' complex interventions were tested (34/42): some extensively. Conversely, only 17 of the 34 published reports describing these trials mention testing. Two-thirds (22/34) of those testing their interventions did not believe that more or different testing would have produced a more effective intervention. 31% (13/42) of all authors did believe further testing would have led to improvements. Five respondents mentioned a lack of funding as a reason for not doing more testing. CONCLUSION: Complex interventions are generally tested prior to their evaluation in a full-scale trial, although the amount of testing varies. Testing is often not described in trial reports, which makes it hard to judge whether a trial result could be improved with a better intervention, or whether further work with a different intervention is required.

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  • Given current financial constraints upon health services research and the large number of trials that fail to show effectiveness, it is increasingly important to define strategies that support researchers in the development of more effective interventions.

    “Given the current financial constraints upon health services research and the large number of trials that fail to show effectiveness, it has been suggested that it is increasingly important to define strategies that support researchers in the development of more effective interventions [3, 50, 51].”

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  1. Treweek S Sullivan F Trialists routinely over-estimate the likely effect of their intervention and underestimate the difficulty of recruitment submitted to the Journal of Clinical Epidemiology

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Authors
Treweek, S., & Sullivan, F.
Affiliations
University of Dundee (GB)
Corresponding author
Treweek, Shaun
Venue
BMC Medical Research Methodology
Published
2006-06-22
Volume
6
Issue
1
Pages
28-28
ISSN
1471-2288 (ISSN-L)
OpenAlex
W1859588658
Cited by
7
References
3
Citations by year
2016: 2 · 2013: 1 · 2012: 1
FWCI
1.29
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Research Methodology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Discovery Research Portal (University of Dundee) (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
Keywords
complex interventions, exploratory trials, intervention development, trial reporting quality, feasibility testing, research funding constraints
MeSH terms
Attitude of Health Personnel, Authorship, Clinical Trials as Topic, Diagnostic Tests, Routine, Feasibility Studies, Humans, Surveys and Questionnaires, Patient Selection, Electronic Mail

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