Evidence map›Paper›PMID 37515063›Full record

ArticleVaccines2023

A Mother's Dilemma: The 5-P Model for Vaccine Decision-Making in Pregnancy.

Elizabeth Cox, Magali Sanchez, Katherine Taylor, Carly Baxter, Isabelle Crary, Emma Every, Brianne Futa, Kristina M Adams Waldorf

Abstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Elizabeth CoxDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA 98195, USA.
Magali SanchezDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA.
Katherine TaylorDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA.
Carly BaxterSchool of Medicine, University of Washington, Seattle, WA 98195, USA.
Isabelle CrarySchool of Medicine, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-0820-3446
Emma EverySchool of Medicine, University of Washington, Seattle, WA 98195, USA.
Brianne FutaSchool of Medicine, Tulane University, New Orleans, LA 70112, USA.
Kristina M Adams WaldorfDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-6939-7224

Funding

University of Washington Department of Obstetrics and GynecologyUniversity of Washington Population Health Initiative 2022 Tier 1 Pilot ProgramWashington State Department of Health HED27311-0Washington State Obstetrical Association 2022 Pilot Award
6 · The paper itself

Abstract

Pregnant women are a highly vaccine-resistant population and face unique circumstances that complicate vaccine decision-making. Pregnant women are also at increased risk of adverse maternal and neonatal outcomes to many vaccine-preventable diseases. Several models have been proposed to describe factors informing vaccine hesitancy and acceptance. However, none of these existing models are applicable to the complex decision-making involved with vaccine acceptance during pregnancy. We propose a model for vaccine decision-making in pregnancy that incorporates the following key factors: (1) perceived information sufficiency regarding vaccination risks during pregnancy, (2) harm avoidance to protect the fetus, (3) relationship with a healthcare provider, (4) perceived benefits of vaccination, and (5) perceived disease susceptibility and severity during pregnancy. In addition to these factors, the availability of research on vaccine safety during pregnancy, social determinants of health, structural barriers to vaccine access, prior vaccine acceptance, and trust in the healthcare system play roles in decision-making. As a final step, the pregnant individual must balance the risks and benefits of vaccination for themselves and their fetus, which adds greater complexity to the decision. Our model represents a first step in synthesizing factors informing vaccine decision-making by pregnant women, who represent a highly vaccine-resistant population and who are also at high risk for adverse outcomes for many infectious diseases.

Indexed as

COVID-19pregnancyrural medicinesocial mediavaccinevaccine hesitancy

Identifiers

PMID37515063
PMCPMC10383354

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.