Evidence map›Paper›PMID 42597079›Full record

ArticlePregnancy (Hoboken, N.J.)2025

A qualitative study of barriers and facilitators to low-dose aspirin adherence in pregnancy.

Rachel S Ruderman, Ashish Premkumar, Jungeun Lee, Melinique Walls, Grace Keegan, Olivert Mbah, Sunitha C Suresh

Abstract read
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Rachel S RudermanUniversity of Chicago/Endeavor Health Chicago Illinois USA.
Ashish PremkumarMaternal Fetal Medicine University of Chicago Chicago Illinois USA.
Jungeun LeeEndeavor Health Evanston Illinois USA.
Melinique WallsUniversity of Chicago Chicago Illinois USA.
Grace KeeganUniversity of Chicago Chicago Illinois USA.
Olivert MbahEndeavor Health Evanston Illinois USA.
Sunitha C SureshMaternal Fetal Medicine Endeavor Health Evanston Illinois USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To explore barriers and facilitators to low-dose aspirin (LDA) adherence among pregnant participants of low socioeconomic status through application of a theoretical framework of behavior change. Methods: This study occurred between April and July 2023 at an urban tertiary care center's prenatal clinic, which serves participants of low socioeconomic status. This study was nested in the pre-implementation phase of a planned universal LDA quality improvement program. Participants were individually interviewed in their native language (English or Spanish) using questions based on the Theoretical Domains Framework. Analysis was completed using an integrated approach using grounded theory and a priori themes from the established framework, which revealed the most salient themes and subthemes. Participants also took the Patient Medication Adherence Scale, which quantitatively assessed medication adherence as well as knowledge surrounding medication use. Results: Twenty-four participants were interviewed, with the majority ( Conclusion: Using insights gained on barriers and facilitators to LDA adherence across multiple behavioral domains, we propose a three-pronged approach to guide LDA quality improvement efforts with a focus on patient education, provider communication, and clinical resources. Future work should systematically evaluate the impact of patient-informed interventions on LDA adherence in this patient population.

Indexed as

aspirinpreeclampsiapreventionqualitativequality

Identifiers

PMID42597079
PMCPMC13344774

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.