A synthesis of evidence for policy from behavioural science during COVID-19
- PMID: 38093007
- PMCID: PMC10764287
- DOI: 10.1038/s41586-023-06840-9
A synthesis of evidence for policy from behavioural science during COVID-19
Abstract
Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations ('claims') detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms 'physical distancing' and 'social distancing'. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization.
© 2023. The Author(s).
Conflict of interest statement
D.R. reports receiving research funding in the form of gifts from Google and Meta. K.B. reports a Director role at Eli Lilly. C.S. reports being an unpaid advisor for the US Department of Homeland Security and a senior advisor to the Boston Consulting Group. J.A.T. reportings receiving administrative and grant funding from Facebook, collaborating with Meta and serving as a Senior Advisor at Kroll. The lead author (K.R.) did not permit any influence over the final version of the writing. All other authors declare no competing interests.
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References
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- National Academies Press. Using Science as Evidence in Public Policy (National Academies Press, 2012).
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- Fact sheet: new progress on using behavioral science insights to better serve the American people. whitehouse.govhttps://obamawhitehouse.archives.gov/the-press-office/2016/09/15/fact-sh... (2016).
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- Hodges R, Caperchione E, van Helden J, Reichard C, Sorrentino D. The role of scientific expertise in COVID-19 policy-making: evidence from four European countries. Public Org. Rev. 2022;22:249–267. doi: 10.1007/s11115-022-00614-z. - DOI
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