Evidence map›Paper›PMID 33996140›Full record

ArticleDigital health

The development of a digital intervention to increase influenza vaccination amongst pregnant women.

Joanne E Parsons, Katie V Newby, David P French, Elizabeth Bailey, Nadia Inglis

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 5 institutions in 1 country.

Joanne E ParsonsUnit of Academic Primary Care, Warwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0002-6542-8492
Katie V NewbyDepartment of Psychology and Sport Sciences, University of Hertfordshire, Hatfield, UK.
David P FrenchManchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, UK.
Elizabeth BaileyElizabeth Bryan Multiple Births Centre, Faculty of Health, Education and Life Sciences, Birmingham City University, Birmingham, UK.
Nadia InglisWarwickshire County Council Public Health, Warwick, UK.
Birmingham City University · GBCoventry City Council · GBManchester Academic Health Science Centre · GBUniversity of Hertfordshire · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePregnant women and unborn babies are at increased risk of complications from influenza, including pneumonia, yet in the UK, uptake of flu vaccination amongst this population remains <50%. Pregnant women hold beliefs about risks of flu and efficacy of vaccination that consistently predict them to decline vaccination. This study aimed to develop a theory and evidence-based intervention addressing these beliefs to promote flu vaccine uptake.

methodsThe intervention was developed by behavioural scientists, pregnant women, midwives, clinicians and Public Health professionals, informed by Intervention Mapping. Six predefined steps were performed in line with Intervention Mapping.

resultsThe intervention is an animation addressing beliefs about risks of flu and efficacy of vaccination. Preliminary testing using qualitative methodology indicates the information within the animation is appropriate, and the animation is acceptable to pregnant women.

conclusionsThis is the first known intervention for pregnant women, aiming to increase flu vaccination through addressing risk and efficacy appraisals. It has been implemented within seasonal flu vaccination campaigns during 2018/19 and 2019/20 within one geographically and ethnically diverse area of the UK.

Indexed as

co-designdigital interventioneHealthinfluenzainternetintervention developmentIntervention Mappingpregnancyrisk appraisals

Identifiers

PMID33996140
PMCPMC8076770
OpenAlexW3158388763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.