Evidence map›Paper›PMID 42281704›Full record

ArticleCureus2026

Delayed Vaccination in Preterm and Low-Birth-Weight Newborns: Predictive Factors and the Impact of Healthcare Professionals' Knowledge, Attitudes, and Practices.

Kaoutar Ettoini, Khadija Mesbah, Abdallah Oulmaati

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kaoutar EttoiniPediatrics, Centre Hospitalier Universitaire Mohammed VI de Tanger, Tangier, MAR.
Khadija MesbahPediatrics, Centre Hospitalier Universitaire Mohammed VI de Tanger, Tangier, MAR.
Abdallah OulmaatiPediatrics, Centre Hospitalier Universitaire Mohammed VI de Tanger, Tangier, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Preterm and low-birth-weight newborns are at increased risk of vaccine-preventable infections due to immunological immaturity and reduced transplacental transfer of maternal antibodies. Despite recommendations advocating vaccination according to chronological age, delays in immunization remain frequent in this population, often influenced by healthcare professionals' knowledge, attitudes, and practices. Objective To assess healthcare professionals' knowledge, attitudes, and practices regarding the vaccination of preterm and low-birth-weight newborns and to identify professional factors associated with delayed vaccination. Methods A descriptive and analytical cross-sectional study was conducted in July 2025 among 104 healthcare professionals involved in neonatal care and immunization. Data were collected using a structured, anonymous, self-administered questionnaire assessing knowledge, attitudes, and practices. Statistical analysis was performed using appropriate tests, with a significance level set at p < 0.05. Results A total of 104 healthcare professionals participated in the study, of whom 66% had already vaccinated or supervised the vaccination of preterm or low-birth-weight newborns. Significant variability in knowledge and practices was observed across professional categories, particularly between physicians and paramedical staff. Despite prior experience, important knowledge gaps persisted. Four factors were significantly associated with delayed vaccination (p < 0.05): lack of professional training (85%), the belief that prematurity constitutes a contraindication to vaccination (86%), the requirement for a birth weight above 3000 g before initiating vaccination (47%), and parental hesitancy (63%). Conclusion Healthcare professionals' knowledge gaps and inappropriate practices are significantly associated with delayed vaccination in preterm and low-birth-weight newborns. Strengthening targeted training programs and implementing standardized guidelines are essential to improve vaccination practices and ensure optimal protection of this high-risk population.

Indexed as

and practicesattitudeshealthcare professionalsimmunizationknowledgelow birth weightvaccination delayvaccine hesitancy

Identifiers

PMID42281704
PMCPMC13251534

What OpenQuestion holds

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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.