Evidence map›Paper›PMID 40253502›Full record

ArticleNPJ vaccines2025

Systematic review and meta-analysis of interventions to increase the uptake of vaccines recommended during pregnancy.

Annette K Regan, Honorine Uwimana, Stacey L Rowe, Elizabeth Jitka Olsanska, Brianna Agnew, Eliana Castillo, Alice Fiddian-Green, Michelle L Giles

Abstract read
In one paragraph

Article in NPJ vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Annette K ReganDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA. annette.k.regan@kp.org.
Honorine UwimanaSchool of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA.
Stacey L RoweSchool of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA.
Elizabeth Jitka OlsanskaCollege of Arts & Sciences, University of San Francisco, San Francisco, CA, USA.
Brianna AgnewSchool of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA.
Eliana CastilloDepartments of Medicine and Obstetrics & Gynaecology, University of Calgary, Calgary, AB, Canada.
Alice Fiddian-GreenSchool of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA.
Michelle L GilesDepartment of Obstetrics and Gynecology, Monash University, Melbourne, VIC, Australia.

Funding

Uptake, Safety and Effectiveness of COVID‐19 Vaccines during PregnancyR01AI169239 · NIAID · UNIVERSITY OF SAN FRANCISCO · PI REGAN, ANNETTE KARENA · 2022 to 2024
$1.3M
National Institute of Allergy and Infectious Diseases R01AI169239NIAID NIH HHS R01 AI169239University of San Francisco N/A
6 · The paper itself

Abstract

Although immunization during pregnancy can protect mothers and their infants from vaccine-preventable morbidity and mortality, vaccination rates are often poor. We systematically reviewed the literature from inception to July 4, 2023, for randomized and non-randomized quasi-experimental studies estimating the effects of interventions to increase vaccination during pregnancy. Of 9331 studies screened, 36 met inclusion criteria, including 18 demand-side interventions, 11 supply-side interventions, and seven multi-level (demand and supply-side) interventions. Demand-side interventions commonly addressed patient education, showing modest improvement (pooled RR 1.18; 95% CI: 1.04, 1.33; I

Identifiers

PMID40253502
PMCPMC12009365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.