Instructional interventions for improving COVID-19 knowledge, attitudes, behaviors: Evidence from a large-scale RCT in India.

Attitudes Behavioral interventions Health beliefs Health economics Health education India Randomized controlled trials (RCT)

Journal

Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205

Informations de publication

Date de publication:
05 2021
Historique:
revised: 18 02 2021
accepted: 12 03 2021
pubmed: 28 3 2021
medline: 24 4 2021
entrez: 27 3 2021
Statut: ppublish

Résumé

Seeking ways to encourage broad compliance with health guidelines during the pandemic, especially among youth, we test two hypotheses pertaining to the optimal design of instructional interventions for improving COVID-19-related knowledge, attitudes, and behaviors. We randomly assigned 8376 lower-middle income youth in urban India to three treatments: a concentrated and targeted fact-based, instructional intervention; a longer instructional intervention that provided the same facts along with underlying scientific concepts; and a control. Relative to existing efforts, we find that both instructional interventions increased COVID-19-related knowledge immediately after intervention. Relative to the shorter fact-based intervention, the longer intervention resulted in sustained improvements in knowledge, attitudes, and self-reported behavior. Instead of reducing attention and comprehension by youth, the longer scientific based treatment appears to have increased understanding and retention of the material. The findings are instrumental to understanding the design of instruction and communication in affecting compliance during this and future pandemics.

Identifiants

pubmed: 33773476
pii: S0277-9536(21)00178-7
doi: 10.1016/j.socscimed.2021.113846
pmc: PMC7963523
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

113846

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Références

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Auteurs

Dinsha Mistree (D)

Stanford University, Law School, 559 Nathan Abbott Way, Stanford, CA, 94305, USA. Electronic address: dmistree@law.stanford.edu.

Prashant Loyalka (P)

Stanford University, Graduate School of Education and Freeman Spogli Institute for International Studies, Encina Hall East Wing Room 413, 616 Serra St., Stanford, CA, 94305, USA. Electronic address: loyalka@stanford.edu.

Robert Fairlie (R)

University of California, Department of Economics, Santa Cruz, CA, 95064, USA. Electronic address: rfairlie@ucsc.edu.

Ashutosh Bhuradia (A)

Freedom Employability Academy, Valmiki Temple One, Vasant Gaon, New Delhi, 110057, India; Harvard University, Graduate School of Education, 13 Appian Way, Cambridge, MA, 02138, USA. Electronic address: ashutosh_bhuradia@gsas.harvard.edu.

Manyu Angrish (M)

Freedom Employability Academy, Valmiki Temple One, Vasant Gaon, New Delhi, 110057, India. Electronic address: manyuangrish@gmail.com.

Jason Lin (J)

Harker School, 500 Saratoga Ave., San Jose, CA, 95129, USA. Electronic address: jclin2.2009@gmail.com.

Amar Karoshi (A)

Harker School, 500 Saratoga Ave., San Jose, CA, 95129, USA. Electronic address: wildkrattscrazy@gmail.com.

Sara J Yen (SJ)

Harker School, 500 Saratoga Ave., San Jose, CA, 95129, USA. Electronic address: sarayen418@gmail.com.

Jamsheed Mistri (J)

University of California, Department of Electrical Engineering and Computer Science, Berkeley, CA, 94720, USA. Electronic address: jmistri7@gmail.com.

Vafa Bayat (V)

Bitscopic, Inc., 715 Colorado Avenue Suite B, Palo Alto, CA, 94303, USA. Electronic address: vafa@bitscopic.com.

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Classifications MeSH