Megastudies improve the impact of applied behavioural science.

Adult Behavioral Sciences / methods Clinical Trials as Topic / methods Exercise / psychology Female Health Promotion / methods Humans Male Motivation Regression Analysis Research Design Reward Time Factors United States Universities

Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
12 2021
Historique:
received: 22 10 2020
accepted: 13 10 2021
pubmed: 10 12 2021
medline: 12 2 2022
entrez: 9 12 2021
Statut: ppublish

Résumé

Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens' decisions and outcomes

Identifiants

DOI: 10.1038/s41586-021-04128-4 PMID: 34880497 PMC: PMC8822539
pubmed: 34880497
doi: 10.1038/s41586-021-04128-4
pii: 10.1038/s41586-021-04128-4
pmc: PMC8822539
mid: NIHMS1774681
doi:

Types de publication

Clinical Trial Comparative Study Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

478-483

Subventions

Organisme : NIA NIH HHS
ID : P30 AG034532
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG034546
Pays : United States
Organisme : NIH HHS
ID : 5P30 AG034532
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Références

Behavioural Insights and Public Policy: Lessons from Around the World (OECD Publishing, 2017).
Benartzi, S. et al. Should governments invest more in nudging? Psychol. Sci. 28, 1041–1055 (2017).
doi: 10.1177/0956797617702501
Charness, G. & Gneezy, U. Incentives to EXercise. Econometrica 77, 909–931 (2009).
doi: 10.3982/ECTA7416
Acland, D. & Levy, M. R. Naiveté, projection bias, and habit formation in gym attendance. Manage. Sci. 61, 146–160 (2015).
doi: 10.1287/mnsc.2014.2091
Royer, H., Stehr, M. & Sydnor, J. Incentives, commitments, and habit formation in exercise: evidence from a field experiment with workers at a Fortune-500 company. Am. Econ. J. Appl. Econ. 7, 51–84 (2015).
doi: 10.1257/app.20130327
Beshears, J., Lee, H. N., Milkman, K. L., Mislavsky, R. & Wisdom, J. Creating exercise habits using incentives: the tradeoff between flexibility and routinization. Manage. Sci. 67, 4139-4171 (2020).
doi: 10.1287/mnsc.2020.3706
DellaVigna, S. & Linos, E. RCTs to Scale: Comprehensive Evidence from Two Nudge Units 65 (National Bureau of Economic Research, 2020).
DellaVigna, S. & Pope, D. What motivates effort? Evidence and expert forecasts. Rev. Econ. Stud. 85, 1029–1069 (2018).
doi: 10.1093/restud/rdx033
DellaVigna, S. & Pope, D. Predicting experimental results: who knows what? J. Polit. Econ. 126, 2410–2456 (2018).
doi: 10.1086/699976
DellaVigna, S., Pope, D. & Vivalt, E. Predict science to improve science. Science 366, 428–429 (2019).
doi: 10.1126/science.aaz1704
Kristal, A. S. & Whillans, A. V. What we can learn from five naturalistic field experiments that failed to shift commuter behaviour. Nat. Hum. Behav. 4, 169–176 (2020).
doi: 10.1038/s41562-019-0795-z
Donoho, D. 50 years of data science. J. Comput. Graph. Stat. 26, 745–766 (2017).
doi: 10.1080/10618600.2017.1384734
Liberman, M. Fred Jelinek. Comput. Linguist. 36, 595–599 (2010).
doi: 10.1162/coli_a_00032
Lai, C. K. et al. Reducing implicit racial preferences: I. A comparative investigation of 17 interventions. J. Exp. Psychol. Gen. 143, 1765–1785 (2014).
doi: 10.1037/a0036260
Lai, C. K. et al. Reducing implicit racial preferences: II. Intervention effectiveness across time. J. Exp. Psychol. Gen. 145, 1001–1016 (2016).
doi: 10.1037/xge0000179
Mellers, B. et al. Psychological strategies for winning a geopolitical forecasting tournament. Psychol. Sci. 25, 1106–1115 (2014).
doi: 10.1177/0956797614524255
Open Science Collaboration Estimating the reproducibility of psychological science. Science 349, aac4716 (2015).
doi: 10.1126/science.aac4716
Milkman, K. L., Minson, J. A. & Volpp, K. G. M. Holding the hunger games hostage at the gym: an evaluation of temptation bundling. Manage. Sci. 60, 283–299 (2014).
doi: 10.1287/mnsc.2013.1784
Ward, B. W., Clarke, T. C., Nugent, C. N. & Schiller, J. S. Early Release of Selected Estimates Based on Data From the 2015 National Health Interview Survey 120 (National Center for Health Statistics, 2015).
Lee, I.-M. et al. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380, 219–229 (2012).
doi: 10.1016/S0140-6736(12)61031-9
Gollwitzer, P. M. Implementation intentions: strong effects of simple plans. Am. Psychol. 54, 493–503 (1999).
doi: 10.1037/0003-066X.54.7.493
Milkman, K. L., Beshears, J., Choi, J. J., Laibson, D. & Madrian, B. C. Using implementation intentions prompts to enhance influenza vaccination rates. Proc. Natl Acad. Sci. USA 108, 10415–10420 (2011).
doi: 10.1073/pnas.1103170108
Rogers, T., Milkman, K. L., John, L. K. & Norton, M. I. Beyond good intentions: prompting people to make plans improves follow-through on important tasks. Behav. Sci. Pol. 1, 33–41 (2015).
doi: 10.1353/bsp.2015.0011
Karlan, D., McConnell, M., Mullainathan, S. & Zinman, J. Getting to the top of mind: how reminders increase saving. Manage. Sci. 62, 3393–3411 (2016).
doi: 10.1287/mnsc.2015.2296
Homonoff, T. A. Can small incentives have large effects? The impact of taxes versus bonuses on disposable bag use. Am. Econ. J. Econ. Pol. 10, 177–210 (2018).
doi: 10.1257/pol.20150261
Storey, J. D. & Tibshirani, R. Statistical significance for genomewide studies. Proc. Natl Acad. Sci. USA 100, 9440–9445 (2003).
doi: 10.1073/pnas.1530509100
Allcott, H. Social norms and energy conservation. J. Publ. Econ. 95, 1082–1095 (2011).
doi: 10.1016/j.jpubeco.2011.03.003
Chapman, G. B., Li, M., Colby, H. & Yoon, H. Opting in vs opting out of influenza vaccination. JAMA 304, 43–44 (2010).
doi: 10.1001/jama.2010.892
Milkman, K. L., et al. A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor’s appointment. Proc. Natl Acad. Sci. USA 118, e2101165118 (2021).
doi: 10.1073/pnas.2101165118
Lee, M. R. & Shen, M. Winner’s curse: bias estimation for total effects of features in online controlled experiments. In Proc. 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 491–499 (ACM, 2018).
White, H. Asymptotic Theory for Econometricians (Elsevier, 1984).
Dubner, S. J. How goes the behavior-change revolution? (Ep. 382). Freakonomics https://freakonomics.com/podcast/live-philadelphia/ (2019).

Auteurs

Katherine L Milkman (KL)

Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. kmilkman@wharton.upenn.edu.
ORCID: 0000-0002-9706-4830

Dena Gromet (D)

Behavior Change for Good Initiative, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Hung Ho (H)

Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Department of Marketing, Booth School of Business, University of Chicago, Chicago, IL, USA.

Joseph S Kay (JS)

Behavior Change for Good Initiative, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Timothy W Lee (TW)

Behavior Change for Good Initiative, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
McCormick School of Engineering, Northwestern University, Evanston, IL, USA.

Pepi Pandiloski (P)

Harris School of Public Policy, University of Chicago, Chicago, IL, USA.

Yeji Park (Y)

Department of Psychology, Princeton University, Princeton, NJ, USA.

Aneesh Rai (A)

Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
ORCID: 0000-0001-9633-2568

Max Bazerman (M)

Department of Negotiation, Organizations & Markets, Harvard Business School, Harvard University, Boston, MA, USA.

John Beshears (J)

Department of Negotiation, Organizations & Markets, Harvard Business School, Harvard University, Boston, MA, USA.

Lauri Bonacorsi (L)

Pritzker School of Law, Northwestern University, Chicago, IL, USA.

Colin Camerer (C)

Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.

Edward Chang (E)

Department of Negotiation, Organizations & Markets, Harvard Business School, Harvard University, Boston, MA, USA.
ORCID: 0000-0003-0502-2957

Gretchen Chapman (G)

Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.

Robert Cialdini (R)

Department of Psychology, Arizona State University, Tempe, AZ, USA.

Hengchen Dai (H)

Department of Management and Organizations, Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA.
ORCID: 0000-0001-7640-6558

Lauren Eskreis-Winkler (L)

Department of Behavioral Science, Booth School of Business, University of Chicago, Chicago, IL, USA.

Ayelet Fishbach (A)

Department of Behavioral Science, Booth School of Business, University of Chicago, Chicago, IL, USA.

James J Gross (JJ)

Department of Psychology, Stanford University, Stanford, CA, USA.
ORCID: 0000-0003-3624-3090

Samantha Horn (S)

Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
ORCID: 0000-0003-2716-5860

Alexa Hubbard (A)

Department of Psychology, New York University, New York, NY, USA.

Steven J Jones (SJ)

Department of Psychology, Rutgers University, New Brunswick, NJ, USA.

Dean Karlan (D)

Department of Finance, Kellogg School of Management, Northwestern University, Evanston, IL, USA.
ORCID: 0000-0003-0164-1398

Tim Kautz (T)

Mathematica, Princeton, NJ, USA.

Erika Kirgios (E)

Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
ORCID: 0000-0002-7891-0499

Joowon Klusowski (J)

Department of Marketing, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Ariella Kristal (A)

Department of Organizational Behavior, Harvard Business School, Harvard University, Boston, MA, USA.

Rahul Ladhania (R)

Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
ORCID: 0000-0002-7902-7681

George Loewenstein (G)

Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
ORCID: 0000-0003-2790-0474

Jens Ludwig (J)

Harris School of Public Policy, University of Chicago, Chicago, IL, USA.

Barbara Mellers (B)

Department of Marketing, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

Sendhil Mullainathan (S)

Department of Behavioral Science, Booth School of Business, University of Chicago, Chicago, IL, USA.

Silvia Saccardo (S)

Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.

Jann Spiess (J)

Department of Operations, Information & Technology, Stanford Graduate School of Business, Stanford, CA, USA.

Gaurav Suri (G)

Department of Psychology, San Francisco State University, San Francisco, CA, USA.

Joachim H Talloen (JH)

Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.

Jamie Taxer (J)

Department of Psychology, Stanford University, Stanford, CA, USA.

Yaacov Trope (Y)

Department of Psychology, New York University, New York, NY, USA.

Lyle Ungar (L)

Department of Computer and Information Sciences, University of Pennsylvania, Philadelphia, PA, USA.

Kevin G Volpp (KG)

Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Ashley Whillans (A)

Department of Negotiation, Organizations & Markets, Harvard Business School, Harvard University, Boston, MA, USA.

Jonathan Zinman (J)

Department of Economics, Dartmouth College, Hanover, NH, USA.

Angela L Duckworth (AL)

Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. aduckworth@characterlab.org.
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. aduckworth@characterlab.org.
ORCID: 0000-0002-2644-3729

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female

Evaluation of Low-Value Services Across Major Medicare Advantage Insurers and Traditional Medicare.

Ciara Duggan, Adam L Beckman, Ishani Ganguli et al.
1.00
Humans United States Aged Cross-Sectional Studies Medicare Part C

Effectiveness of Virtual Yoga for Chronic Low Back Pain: A Randomized Clinical Trial.

Hallie Tankha, Devyn Gaskins, Amanda Shallcross et al.
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Megastudies improve the impact of applied...
questionsmedicales.fr › Disciplines et activités comportementales › Sciences du comportement › Megastudies improve the impact of applied...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études cliniques comme sujet › Essais cliniques comme sujet › Megastudies improve the impact of applied...
questionsmedicales.fr › Activités humaines › Exercice physique › Megastudies improve the impact of applied...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Services de santé › Services de médecine préventive › Éducation pour la santé › Promotion de la santé › Megastudies improve the impact of applied...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Megastudies improve the impact of applied...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Personnalité › Intelligence › Intelligence émotionnelle › Motivation › Megastudies improve the impact of applied...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de régression › Megastudies improve the impact of applied...
questionsmedicales.fr › Disciplines des sciences naturelles › Science › Recherche › Plan de recherche › Megastudies improve the impact of applied...
questionsmedicales.fr › Phénomènes psychologiques › Processus mentaux › Renforcement (psychologie) › Récompense › Megastudies improve the impact of applied...
questionsmedicales.fr › Phénomènes physiques › Temps › Facteurs temps › Megastudies improve the impact of applied...
questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Nord › États-Unis › Megastudies improve the impact of applied...
questionsmedicales.fr › Établissements non médicaux publics ou privés › Établissements scolaires › Universités › Megastudies improve the impact of applied...