A national nudge study of differently framed messages to increase COVID-19 vaccine uptake in Saudi Arabia: A randomized controlled trial.

COVID 19 Vaccine Framing In-App notification Nudge Reminders

Journal

Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society
ISSN: 1319-0164
Titre abrégé: Saudi Pharm J
Pays: Saudi Arabia
ID NLM: 9705695

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 05 12 2022
accepted: 09 08 2023
medline: 4 9 2023
pubmed: 4 9 2023
entrez: 4 9 2023
Statut: ppublish

Résumé

During the COVID-19 pandemic, Saudi Arabia witnessed hesitancy from a proportion of the population toward taking the vaccine; thus, it was necessary to nudge them to uptake it. This study was conducted to assess the impact of using different types of messages to nudge the public to increase the proportion of vaccinated individuals. This study is a multi-arm randomized controlled trial aiming to assess the efficacy of using differently framed messages that appear as pop-notifications in Sehatty application. Of those who preregistered to receive a COVID-19 vaccine but didn't take it according to the Saudi national vaccine registry (n = 1,291,686), 12,000 individuals were randomly recruited and randomly assigned to one of five intervention groups (commitment, loss aversion, salience, social norms, and ego) or a control group. To ensure the exposure occurred in the intervention groups, we included only those who received the notification, which was confirmed by checking the information technology system. We used the Chi-square test to compare each intervention group against the control group separately. Also, we used the same test to investigate whether sex and age influenced the percentage of booked appointments in the intervention groups. Social norms, ego, salience and loss aversion groups had higher percentages of booked appointments when compared to the control group (21.0%, Using different framings of messages to nudge the public to take vaccines can help increase the percentage of immunized individuals in a community. Nudges can boost the public health of a population during an unusual spread of vaccine-preventable diseases. Findings might also inspire governmental responses to other public health situations.

Sections du résumé

Background UNASSIGNED
During the COVID-19 pandemic, Saudi Arabia witnessed hesitancy from a proportion of the population toward taking the vaccine; thus, it was necessary to nudge them to uptake it. This study was conducted to assess the impact of using different types of messages to nudge the public to increase the proportion of vaccinated individuals.
Methods UNASSIGNED
This study is a multi-arm randomized controlled trial aiming to assess the efficacy of using differently framed messages that appear as pop-notifications in Sehatty application. Of those who preregistered to receive a COVID-19 vaccine but didn't take it according to the Saudi national vaccine registry (n = 1,291,686), 12,000 individuals were randomly recruited and randomly assigned to one of five intervention groups (commitment, loss aversion, salience, social norms, and ego) or a control group. To ensure the exposure occurred in the intervention groups, we included only those who received the notification, which was confirmed by checking the information technology system. We used the Chi-square test to compare each intervention group against the control group separately. Also, we used the same test to investigate whether sex and age influenced the percentage of booked appointments in the intervention groups.
Results UNASSIGNED
Social norms, ego, salience and loss aversion groups had higher percentages of booked appointments when compared to the control group (21.0%,
Conclusion UNASSIGNED
Using different framings of messages to nudge the public to take vaccines can help increase the percentage of immunized individuals in a community. Nudges can boost the public health of a population during an unusual spread of vaccine-preventable diseases. Findings might also inspire governmental responses to other public health situations.

Identifiants

pubmed: 37662677
doi: 10.1016/j.jsps.2023.101748
pii: S1319-0164(23)00243-8
pmc: PMC10472300
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101748

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Mohammed Alhajji (M)

Nudge Unit, Ministry of Health, Riyadh, Saudi Arabia.

Abdullah H Alzeer (AH)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.
Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Rami Al-Jafar (R)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.
School of Public Health, Imperial College London, London, UK.

Reem Alshehri (R)

Nudge Unit, Ministry of Health, Riyadh, Saudi Arabia.

Saad Alyahya (S)

Nudge Unit, Ministry of Health, Riyadh, Saudi Arabia.

Sara Alsuhaibani (S)

Nudge Unit, Ministry of Health, Riyadh, Saudi Arabia.
Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Sarah Alkhudair (S)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Raghad Aldhahiri (R)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Ahmed Alhomaid (A)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Dalal Alali (D)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Abdulelah Alothman (A)

E-Services, Lean Business Services, Riyadh, Saudi Arabia.

Eman Alkhulaifi (E)

E-Services, Lean Business Services, Riyadh, Saudi Arabia.

Mohammed Alnashar (M)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Abdulrahman Alalmaee (A)

Process Optimization, Lean Business Services, Riyadh, Saudi Arabia.

Ibrahem Aljenaidel (I)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Fahad Alsaawi (F)

Data Services Sector, Lean Business Services, Riyadh, Saudi Arabia.

Classifications MeSH