Evidence map›Paper›PMID 34164686›Full record

SynthesisJournal of public health (Oxford, England)2022

How effective are digital interventions in increasing flu vaccination among pregnant women? A systematic review and meta-analysis.

Jo Parsons, Sarah E Griffiths, Nicky Thomas, Helen Atherton

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of public health (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06815250 (Effectiveness of the Influenza and Tdap), which is not on this map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
1.9field-weighted citation impact, top 13% 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.

NCT06815250 narecruitingnot on this mapstarted 2026, after this paper: background citation

Effectiveness of the Influenza and Tdap (Tetanus, Diphtheria, Acellular Pertussis) Vaccination Educational and Learning Module (InTroDuce-Programme) in Improving Knowledge and Future Uptake of Vaccination Among Pregnant Mothers in Primary Care Clinics: A Randomised Control Trial Secondary IDs

TypeinterventionalSponsorUniversiti Putra MalaysiaRan2026 to 2026Enrolled351ConditionsVaccination Uptake, Knowledge, Tetanus, Diphtheria and Acellular Pertussis Vaccination, InfluenzaArmsInfluenza and Tdap Vaccination Educational and Learning Module
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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  10. Characteristics associated with influenza vaccination uptake in pregnancy: a retrospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
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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

4 authors at 2 institutions in 1 country.

Jo ParsonsThe Unit of Academic Primary Care, Warwick Medical School, The University of Warwick, Coventry CV4 7AL, UK.
Sarah E GriffithsLeicester School of Nursing and Midwifery, De Montfort University, Leicester LE1 9BH, UK.
Nicky ThomasDivision of Life Sciences, The University of Warwick, Coventry, CV4 7AL, UK.
Helen AthertonThe Unit of Academic Primary Care, Warwick Medical School, The University of Warwick, Coventry CV4 7AL, UK.
University of Warwick · GBDe Montfort University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFlu can have serious consequences for pregnant woman and unborn babies. Vaccination provides safe and effective protection, yet uptake among pregnant women is below national targets. Digital interventions are effective at increasing adherence to health interventions.

aimsThis review aimed to establish whether digital interventions are effective at increasing rates of flu vaccination among pregnant women, and to determine the overall effect size.

methodSystematic searches identified digital intervention trials, aiming to increase rate of flu vaccination among pregnant women. Random-effects meta-analysis provided a combined effect size and examined which mode of digital interventions had the largest effects on flu vaccination.

resultsTen studies were included in the review. The majority of digital interventions were more effective at increasing rates of flu vaccination (7-81.3% uptake) than usual care or non-digital interventions (7.3-47.1% uptake). When meta-analysed, digital interventions had a small, non-significant effect (odds ratio [OR] = 1.29, 95% confidence interval [CI]: 0.71, 2.31), P = 0.40. Text messages (OR = 1.25, 95% CI: 0.58, 2.67), P = 0.57 appeared less effective than other digital interventions (OR = 1.58, 95% CI: 1.02, 2.46), P = 0.04.

conclusionsOverall, there is a lack of high-quality studies reporting the effectiveness of digital interventions at increasing flu vaccination during pregnancy. Future interventions may benefit from using video or social media to communicate messages for maximum success in targeting an increase in rates of flu vaccination in pregnancy.

Indexed as

Pregnant PeopleText MessagingFemaleHumansPregnancyVaccinationdigital interventionsflu vaccinationpregnancysystematic review

Identifiers

PMID34164686
PMCPMC9715302
OpenAlexW3176222762

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.