In this viewpoint we make two main arguments. 1. There is equipoise for non-pharmacological interventions (NPI) for #SARSCoV2#COVID19 containment because there is uncertainty re: the magnitude of both effectiveness & harms. Uncertainty is vast for some measures.
2. An agenda of randomized controlled trials of NPIs is both possible & feasible. We delineate measures that could be the focus on RCTs, along w/ issues related to designs, comparators (not advocating doing nothing!), outcomes (type, timing), obstacles & counterarguments to RCTs.
For NPIs in particular, when the #Covid_19#SARSCoV2 hit, there was almost no evidence from RCTs.
"The fact that high-quality data on these measures is lacking and needs to be gathered with urgency has received little attention in communication with the general public."
"Education of both scientists and the general public about the need of preserving and communicating #equipoise is crucial. Particularly given the speed with which information is shared on social media, researchers need to understand the importance in communicating uncertainty."
I won't get into details re: the peer-review process because I would like any potential discussion to focus on content. Suffice to say it ranged from very useful/thoughtful to the absolute worst (content, tone) I've received in my entire (relatively short) career.
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People who follow this field know I have been one of its first and unrelenting critics, starting with my meta-analysis in 2015 @TheBJPsych (again w/ @pimcuijpers) cambridge.org/core/journals/…, followed by others, including many viewpoints, comments & replies that I will spare you.
I was one of the first researchers to have explicitly state that maybe #CBM just does not work and there are no moderators or boundary conditions that can save it. But time passed, studies went on, the field continued to grow & adapt, and so maybe it was time for a reassessment.