Evidence map›Paper›PMID 34562773›Full record

Trial reportSocial science & medicine (1982)2021

Anticipating pride or regret? Effects of anticipated affect focused persuasive messages on intention to get vaccinated against COVID-19.

Miriam Capasso, Daniela Caso, Mark Conner

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Interventions to increase COVID-19 vaccine uptake: a scoping review.The Cochrane database of systematic reviews · 2022
    Article
  12. Review
  13. Frontiers in public health · 2022
    Article
  14. Article
  15. Article
  16. Article
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

3 authors.

Miriam CapassoDepartment of Humanities, University of Naples Federico II, Italy. Electronic address: miriam.capasso@unina.it.
Daniela CasoDepartment of Humanities, University of Naples Federico II, Italy.
Mark ConnerSchool of Psychology, University of Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the factors that increase intention to receive COVID-19 vaccines is essential to maximise the vaccination campaign effectiveness. The present experimental study evaluated the effect of exposure to messages targeting cognitive attitude plus anticipated positive (pride) or negative (regret) affective reactions on intention to get vaccinated. Participants included 484 Italian adults randomly allocated to one of four conditions: 1) cognitive attitude message; 2) cognitive attitude plus positive affect message; 3) cognitive attitude plus negative affect message; 4) control condition (no message). Results showed that participants in the second condition reported greater intention to get vaccinated against COVID-19 compared with those in the control condition. Parallel mediation analysis indicated that the effect of the second condition on intention was fully mediated by cognitive attitude and anticipated positive affect. These findings suggest that future campaigns aimed at promoting COVID-19 vaccination intention could usefully target both cognitive attitude and anticipated positive affect.

Indexed as

COVID-19COVID-19 VaccinesAdultEmotionsHumansIntentionSARS-CoV-2COVID-19 VaccinesAnticipated affective reactionsAttitudeCOVID-19COVID-19 vaccinationIntention

Identifiers

PMID34562773
PMCPMC8452346

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.