Evidence map›Paper›PMID 30699155›Full record

ArticlePloS one2019

Evaluation of a template for countering misinformation-Real-world Autism treatment myth debunking.

Jessica Paynter, Sarah Luskin-Saxby, Deb Keen, Kathryn Fordyce, Grace Frost, Christine Imms, Scott Miller, David Trembath, Madonna Tucker, Ullrich Ecker

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

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  16. A focus shift in the evaluation of misinformation interventions.Harvard Kennedy School misinformation review · 2023
    Article
  17. Article
  18. Examining the replicability of backfire effects after standalone corrections.Cognitive research: principles and implications · 2023
    Article
  19. Combining refutations and social norms increases belief change.Quarterly journal of experimental psychology (2006) · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jessica PaynterSchool of Applied Psychology/Menzies Health Institute, Griffith University, Gold Coast, Queensland, Australia.ORCID 0000-0003-0130-0606
Sarah Luskin-SaxbySchool of Applied Psychology/Menzies Health Institute, Griffith University, Gold Coast, Queensland, Australia.ORCID 0000-0002-2604-7494
Deb KeenGriffith Institute for Educational Research, Griffith University, Gold Coast, Queensland, Australia.
Kathryn FordyceNorth West Tasmania Autism Specific Early Learning and Care Centre, St Giles Society, Burnie, Tasmania, Australia.
Grace FrostDaphne Street Autism Specific Early Learning and Care Centre, Anglicare South Australia, Adelaide, South Australia, Australia.
Christine ImmsCentre for Disability & Development Research, Australian Catholic University, Melbourne, Victoria, Australia.
Scott MillerEarly Intervention Services, Autism Association of Western Australia, Perth, Western Australia, Australia.
David TrembathMenzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia.
Madonna TuckerResearch and Assessment, AEIOU Foundation, Brisbane, Queensland, Australia.
Ullrich EckerSchool of Psychological Science, University of Western Australia, Perth, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Misinformation poses significant challenges to evidence-based practice. In the public health domain specifically, treatment misinformation can lead to opportunity costs or direct harm. Alas, attempts to debunk misinformation have proven sub-optimal, and have even been shown to "backfire", including increasing misperceptions. Thus, optimized debunking strategies have been developed to more effectively combat misinformation. The aim of this study was to test these strategies in a real-world setting, targeting misinformation about autism interventions. In the context of professional development training, we randomly assigned participants to an "optimized-debunking" or a "treatment-as-usual" training condition and compared support for non-empirically-supported treatments before, after, and six weeks following completion of online training. Results demonstrated greater benefits of optimized debunking immediately after training; thus, the implemented strategies can serve as a general and flexible debunking template. However, the effect was not sustained at follow-up, highlighting the need for further research into strategies for sustained change.

Indexed as

Autistic DisorderCommunicationHumansPublic Health

Identifiers

PMID30699155
PMCPMC6353548

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.