Evidence map›Paper›PMID 27387202›Full record

ArticleTrials2016

Can "realist" randomised controlled trials be genuinely realist?

Sara Van Belle, Geoff Wong, Gill Westhorp, Mark Pearson, Nick Emmel, Ana Manzano, Bruno Marchal

Abstract readEditorialComment
In one paragraph

Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sara Van BelleDepartment of Public Health, Institute of Tropical Medicine, Nationalestraat 155, B-2000, Antwerp, Belgium. svanbelle@itg.be.
Geoff WongNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Gill WesthorpCommunity Matters Pty Ltd, Mt Torrens SA, Australia.
Mark PearsonNIHR Collaboration for Applied Health Research and Care South West Peninsula (PenCLAHRC), Institute of Health Research, University of Exeter Medical School, Exeter, UK.
Nick EmmelSchool of Sociology & Social Policy, University of Leeds, Leeds, UK.
Ana ManzanoCentre for Health, Technologies & Social Practice, School of Sociology & Social Policy, University of Leeds, Leeds, UK.
Bruno MarchalDepartment of Public Health, Institute of Tropical Medicine, Nationalestraat 155, B-2000, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we respond to a paper by Jamal and colleagues published in Trials in October 2015 and take an opportunity to continue the much-needed debate about what applied scientific realism is. The paper by Jamal et al. is useful because it exposes the challenges of combining a realist evaluation approach (as developed by Pawson and Tilley) with the randomised controlled trial (RCT) design.We identified three fundamental differences that are related to paradigmatic differences in the treatment of causation between post-positivist and realist logic: (1) the construct of mechanism, (2) the relation between mediators and moderators on one hand and mechanisms and contexts on the other hand, and (3) the variable-oriented approach to analysis of causation versus the configurational approach.We show how Jamal et al. consider mechanisms as observable, external treatments and how their approach reduces complex causal processes to variables. We argue that their proposed RCT design cannot provide a truly realist understanding. Not only does the proposed realist RCT design not deal with the RCT's inherent inability to "unpack" complex interventions, it also does not enable the identification of the dynamic interplay among the intervention, actors, context, mechanisms and outcomes, which is at the core of realist research. As a result, the proposed realist RCT design is not, as we understand it, genuinely realist in nature.

Indexed as

Randomized Controlled Trials as TopicResearch DesignCausationRandomized controlled trialsRealist evaluationScientific realism

Identifiers

PMID27387202
PMCPMC4936237

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.