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

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)


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.

Original languageEnglish
Article numbere0210746
Number of pages13
JournalPLoS One
Issue number1
Publication statusPublished - 30 Jan 2019


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