Evidence map›Paper›PMID 35255730›Full record

ArticleHealth education & behavior : the official publication of the Society for Public Health Education2022

Effectiveness of a Digital Intervention in Increasing Flu Vaccination-Related Risk Appraisal, Intention to Vaccinate and Vaccination Behaviour Among Pregnant Women.

Joanne Parsons, Catherine Grimley, Katie Newby

Open access · bronzeAbstract read
In one paragraph

Article in Health education & behavior : the official publication of the Society for Public Health Education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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 at 2 institutions in 1 country.

Joanne ParsonsThe University of Warwick, Coventry, UK.ORCID 0000-0002-6542-8492
Catherine GrimleyThe University of Warwick, Coventry, UK.
Katie NewbyUniversity of Hertfordshire, Hatfield, Hertfordshire, UK.
University of Warwick · GBUniversity of Hertfordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnant women are at increased risk of complications from flu, but uptake of flu vaccination is below 75% targets. Evidence suggests that changing illness risk appraisals may increase vaccination behaviour. In 2018-2019, researchers, public health specialists, and pregnant women co-designed a short animation targeting (unhelpful) beliefs underlying pregnant women's flu risk appraisals aiming to promote vaccination uptake.

aimsThis study aimed to examine effectiveness of a digital intervention (animation) in increasing flu vaccination among pregnant women through changing illness risk appraisals.

methodA prospective study design was used, involving convenience sampling of unvaccinated pregnant women recruited via a Qualtrics Online Panel. Participants received small payments via the panel for survey completion. Risk appraisals and intention to vaccinate were measured at baseline and immediately after intervention presentation (follow-up one). Six months later, a further survey (follow-up two) was administered measuring vaccination behaviour.

resultsBaseline and first follow-up surveys were completed by 411 participants. Watching the animation led to increased appraisals of likelihood of getting flu while pregnant and severity of flu during pregnancy, and increased intentions to accept flu vaccination during pregnancy. Of the 67 respondents who completed follow-up survey two, 38 reported having the vaccination while pregnant.

conclusionsThis study provides evidence supporting the promise of the intervention. Randomized controlled trials are required to produce definitive efficacy evidence. Should such a study prove intervention effectiveness, it could be readily embedded within existing campaigns at national and local levels by public health organizations.

Indexed as

Influenza, HumanInfluenza VaccinesFemaleHumansIntentionPregnancyPregnant PeopleProspective StudiesVaccinationInfluenza Vaccinesanimationdigital interventioninfluenzaintention to vaccinatepregnancyvaccination

Identifiers

PMID35255730
PMCPMC9574896
OpenAlexW4220817456

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.