Evidence map›Paper›PMID 40204873›Full record

Trial reportNature human behaviour2025

Nationwide demonstration of improved COVID-19 vaccination uptake through behavioural reminders.

Hannah Behrendt, Giulia Tagliaferri, Lev Tankelevitch, Yihan Xu, Hugo Harper, Natalie Gold, Dale Weston, Rachel Rosen, Robert Scott

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hannah BehrendtThe Behavioural Insights Team, London, UK. habehrendt@gmail.com.ORCID http://orcid.org/0000-0001-5715-851X
Giulia TagliaferriThe Behavioural Insights Team, London, UK.ORCID http://orcid.org/0000-0002-3692-9271
Lev TankelevitchThe Behavioural Insights Team, London, UK.ORCID http://orcid.org/0000-0003-1286-5194
Yihan XuThe Behavioural Insights Team, London, UK.ORCID http://orcid.org/0000-0001-6537-0326
Hugo HarperThe Behavioural Insights Team, London, UK.
Natalie GoldLondon School of Economics and Political Science, London, UK.
Dale WestonUK Health Security Agency, London, UK.
Rachel RosenNHS England, London, UK.
Robert ScottNHS England, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we report the results of two nationwide randomized controlled trials. By refining behavioural-science-informed text messages notifying patients of their vaccine eligibility, we observed improvements in vaccination rates. The randomized controlled trials involved adults aged 40-44 years (n = 1,825,937) and 24-29 years (n = 2,174,064) in England. Messages emphasizing 'Top of queue' status led to small, but policy-relevant, increases in vaccination rates in both the 40-44 age group (odds ratio 1.02, 95% confidence interval 1.01-1.03) and the 24-29 age group (odds ratio 1.02, 95% confidence interval 1.01-1.04). Consequently, the 'Top of queue' message was nationally rolled out to other age groups. These findings demonstrate the potential of 'queue' framing in relevant contexts and the value of rigorous testing of public health messaging.

Indexed as

COVID-19COVID-19 VaccinesReminder SystemsText MessagingVaccinationAdultEnglandFemaleHumansMaleSARS-CoV-2Young AdultCOVID-19 Vaccines

Identifiers

PMID40204873

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.