A synthesis of evidence for policy from behavioural science during COVID-19
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 en...
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Inglés |
| Publicado: |
Nature ISSN 1476-4687 (online)
2023
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| Acceso en línea: | https://repositorio.utdt.edu/handle/20.500.13098/12231 |
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I57-R163-20.500.13098-12231 |
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I57-R163-20.500.13098-122312024-09-09T17:33:20Z A synthesis of evidence for policy from behavioural science during COVID-19 Ruggeri, Kai Stock, Friederike Haslam, S. Alexander Capraro, Valerio Boggio, Paulo Ellemers, Naomi Cichocka, Aleksandra Douglas, Karen M. Rand, David G. van der Linden, Sander Cikara, Mina Finkel, Eli J. Druckman, James N. Wohl, Michael J.A. Petty, Richard E. Tucker, Joshua A. Shariff, Azim Gelfand, Michele Packer, Dominic Jetten, Jolanda Van Lange, Paul A. M. Pennycook, Gordon Peters, Ellen Baicker, Katherine Crum, Alia Weeden, Kim A. Napper, Lucy Tabri, Nassim Zaki, Jamil Skitka, Linda Kitayama, Shinobu Mobbs, Dean Sunstein, Cass R. Ashcroft-Jones, Sarah Todsen, Anna Louise Hajian, Ali Verra, Sanne Buehler, Vanessa Friedemann, Maja Hecht, Marlene Mobarak, Rayyan S. Karakasheva, Ralitsa Tünte, Markus R. Yeung, Siu Kit Rosenbaum, R. Shayna Lep, Žan Yamada, Yuki Hudson, Sa-kiera Tiarra Jolynn Macchia, Lucía Soboleva, Irina Dimant, Eugen Geiger, Sandra J. Jarke, Hannes Wingen, Tobias Berkessel, Jana B. Mareva, Silvana McGill, Lucy Papa, Francesca Većkalov, Bojana Afif, Zeina Buabang, Eike K. Landman, Marna Tavera, Felice Andrews, Jack L. Bursalıoğlu, Aslı Zupan, Zorana Wagner, Lisa Navajas, Joaquín Vranka, Marek Kasdan, David Chen, Patricia Hudson, Kathleen R. Novak, Lindsay M. Teas, Paul Rachev, Nikolay R. Galizzi, Matteo M. Milkman, Katherine L. Petrović, Marija Willer, Robb Van Bavel, Jay J. Human Behaviour Policy Psychology Society Comportamiento social Comportamiento humano Psicología Sociedad contemporánea 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. 2023-12-20T15:54:34Z 2023-12-20T15:54:34Z 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositorio.utdt.edu/handle/20.500.13098/12231 eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ 22 p. application/pdf application/pdf Nature ISSN 1476-4687 (online) |
| institution |
Universidad Torcuato Di Tella |
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I-57 |
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R-163 |
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Repositorio Digital Universidad Torcuato Di Tella |
| language |
Inglés |
| orig_language_str_mv |
eng |
| topic |
Human Behaviour Policy Psychology Society Comportamiento social Comportamiento humano Psicología Sociedad contemporánea |
| spellingShingle |
Human Behaviour Policy Psychology Society Comportamiento social Comportamiento humano Psicología Sociedad contemporánea Ruggeri, Kai Stock, Friederike Haslam, S. Alexander Capraro, Valerio Boggio, Paulo Ellemers, Naomi Cichocka, Aleksandra Douglas, Karen M. Rand, David G. van der Linden, Sander Cikara, Mina Finkel, Eli J. Druckman, James N. Wohl, Michael J.A. Petty, Richard E. Tucker, Joshua A. Shariff, Azim Gelfand, Michele Packer, Dominic Jetten, Jolanda Van Lange, Paul A. M. Pennycook, Gordon Peters, Ellen Baicker, Katherine Crum, Alia Weeden, Kim A. Napper, Lucy Tabri, Nassim Zaki, Jamil Skitka, Linda Kitayama, Shinobu Mobbs, Dean Sunstein, Cass R. Ashcroft-Jones, Sarah Todsen, Anna Louise Hajian, Ali Verra, Sanne Buehler, Vanessa Friedemann, Maja Hecht, Marlene Mobarak, Rayyan S. Karakasheva, Ralitsa Tünte, Markus R. Yeung, Siu Kit Rosenbaum, R. Shayna Lep, Žan Yamada, Yuki Hudson, Sa-kiera Tiarra Jolynn Macchia, Lucía Soboleva, Irina Dimant, Eugen Geiger, Sandra J. Jarke, Hannes Wingen, Tobias Berkessel, Jana B. Mareva, Silvana McGill, Lucy Papa, Francesca Većkalov, Bojana Afif, Zeina Buabang, Eike K. Landman, Marna Tavera, Felice Andrews, Jack L. Bursalıoğlu, Aslı Zupan, Zorana Wagner, Lisa Navajas, Joaquín Vranka, Marek Kasdan, David Chen, Patricia Hudson, Kathleen R. Novak, Lindsay M. Teas, Paul Rachev, Nikolay R. Galizzi, Matteo M. Milkman, Katherine L. Petrović, Marija Willer, Robb Van Bavel, Jay J. A synthesis of evidence for policy from behavioural science during COVID-19 |
| topic_facet |
Human Behaviour Policy Psychology Society Comportamiento social Comportamiento humano Psicología Sociedad contemporánea |
| description |
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. |
| format |
Artículo publishedVersion |
| author |
Ruggeri, Kai Stock, Friederike Haslam, S. Alexander Capraro, Valerio Boggio, Paulo Ellemers, Naomi Cichocka, Aleksandra Douglas, Karen M. Rand, David G. van der Linden, Sander Cikara, Mina Finkel, Eli J. Druckman, James N. Wohl, Michael J.A. Petty, Richard E. Tucker, Joshua A. Shariff, Azim Gelfand, Michele Packer, Dominic Jetten, Jolanda Van Lange, Paul A. M. Pennycook, Gordon Peters, Ellen Baicker, Katherine Crum, Alia Weeden, Kim A. Napper, Lucy Tabri, Nassim Zaki, Jamil Skitka, Linda Kitayama, Shinobu Mobbs, Dean Sunstein, Cass R. Ashcroft-Jones, Sarah Todsen, Anna Louise Hajian, Ali Verra, Sanne Buehler, Vanessa Friedemann, Maja Hecht, Marlene Mobarak, Rayyan S. Karakasheva, Ralitsa Tünte, Markus R. Yeung, Siu Kit Rosenbaum, R. Shayna Lep, Žan Yamada, Yuki Hudson, Sa-kiera Tiarra Jolynn Macchia, Lucía Soboleva, Irina Dimant, Eugen Geiger, Sandra J. Jarke, Hannes Wingen, Tobias Berkessel, Jana B. Mareva, Silvana McGill, Lucy Papa, Francesca Većkalov, Bojana Afif, Zeina Buabang, Eike K. Landman, Marna Tavera, Felice Andrews, Jack L. Bursalıoğlu, Aslı Zupan, Zorana Wagner, Lisa Navajas, Joaquín Vranka, Marek Kasdan, David Chen, Patricia Hudson, Kathleen R. Novak, Lindsay M. Teas, Paul Rachev, Nikolay R. Galizzi, Matteo M. Milkman, Katherine L. Petrović, Marija Willer, Robb Van Bavel, Jay J. |
| author_facet |
Ruggeri, Kai Stock, Friederike Haslam, S. Alexander Capraro, Valerio Boggio, Paulo Ellemers, Naomi Cichocka, Aleksandra Douglas, Karen M. Rand, David G. van der Linden, Sander Cikara, Mina Finkel, Eli J. Druckman, James N. Wohl, Michael J.A. Petty, Richard E. Tucker, Joshua A. Shariff, Azim Gelfand, Michele Packer, Dominic Jetten, Jolanda Van Lange, Paul A. M. Pennycook, Gordon Peters, Ellen Baicker, Katherine Crum, Alia Weeden, Kim A. Napper, Lucy Tabri, Nassim Zaki, Jamil Skitka, Linda Kitayama, Shinobu Mobbs, Dean Sunstein, Cass R. Ashcroft-Jones, Sarah Todsen, Anna Louise Hajian, Ali Verra, Sanne Buehler, Vanessa Friedemann, Maja Hecht, Marlene Mobarak, Rayyan S. Karakasheva, Ralitsa Tünte, Markus R. Yeung, Siu Kit Rosenbaum, R. Shayna Lep, Žan Yamada, Yuki Hudson, Sa-kiera Tiarra Jolynn Macchia, Lucía Soboleva, Irina Dimant, Eugen Geiger, Sandra J. Jarke, Hannes Wingen, Tobias Berkessel, Jana B. Mareva, Silvana McGill, Lucy Papa, Francesca Većkalov, Bojana Afif, Zeina Buabang, Eike K. Landman, Marna Tavera, Felice Andrews, Jack L. Bursalıoğlu, Aslı Zupan, Zorana Wagner, Lisa Navajas, Joaquín Vranka, Marek Kasdan, David Chen, Patricia Hudson, Kathleen R. Novak, Lindsay M. Teas, Paul Rachev, Nikolay R. Galizzi, Matteo M. Milkman, Katherine L. Petrović, Marija Willer, Robb Van Bavel, Jay J. |
| author_sort |
Ruggeri, Kai |
| title |
A synthesis of evidence for policy from behavioural science during COVID-19 |
| title_short |
A synthesis of evidence for policy from behavioural science during COVID-19 |
| title_full |
A synthesis of evidence for policy from behavioural science during COVID-19 |
| title_fullStr |
A synthesis of evidence for policy from behavioural science during COVID-19 |
| title_full_unstemmed |
A synthesis of evidence for policy from behavioural science during COVID-19 |
| title_sort |
synthesis of evidence for policy from behavioural science during covid-19 |
| publisher |
Nature ISSN 1476-4687 (online) |
| publishDate |
2023 |
| url |
https://repositorio.utdt.edu/handle/20.500.13098/12231 |
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