Evidence map›Paper›PMID 39747281›Full record

ArticleScientific reports2025

Healthcare workers safety: a cohort study using healthcare utilisation databases on vaccination and vaccine timeliness impact against SARS-CoV-2 infection.

Edlira Skrami, Andrea Faragalli, Marica Iommi, Marco Morbidoni, Cristina Mancini, Antonella Guidi, Annalisa Cardone, Marco Pompili, Pietro Serafini, Remo Appignanesi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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. Review
  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

12 authors.

Edlira Skrami *Center of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, 60126, Italy.
Andrea Faragalli *Center of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, 60126, Italy.
Marica IommiCenter of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, 60126, Italy. m.iommi@staff.univpm.it.
Marco MorbidoniEnvironment, Health and Epidemiology Department, Hygiene and Public Health Service, Local Health Authority Ancona, Ancona, Italy.
Cristina ManciniEnvironment, Health and Epidemiology Department, Hygiene and Public Health Service, Local Health Authority Ancona, Ancona, Italy.
Antonella GuidiEnvironment, Health and Epidemiology Department, Hygiene and Public Health Service, Local Health Authority Ancona, Ancona, Italy.
Annalisa CardoneEnvironment, Health and Epidemiology Department, Hygiene and Public Health Service, Local Health Authority Ancona, Ancona, Italy.
Marco PompiliRegional Health Agency of Marche, Ancona, Italy.
Pietro SerafiniControl Management Department, Local Health Authority Ancona, Ancona, Italy.
Remo AppignanesiRisk Management and Clinical Governance Unit, Local Health Authority Ascoli Piceno, Ascoli Piceno, Italy.
Luigi FerranteCenter of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, 60126, Italy.
Flavia CarleCenter of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona, 60126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare Workers (HCWs) are at ongoing risk of SARS-CoV-2 infection, potentially contributing to its transmission. This study assessed full vaccination and vaccination timeliness impact on SARS-CoV-2 infections among HCWs in Italy's Marche Region, using Healthcare Utilization Databases. We evaluated vaccination coverage and its associated factors. The cohort comprised 21,118 HCWs aged 18-70 from the region's five Local Health Authorities (LHA), enrolled between February 2020 - May 2021. Factors associated with full vaccination were assessed using multiple logistic regression. The impact of vaccination status, time to vaccination, occupational role, age, gender, and health status on infection risk was analysed with a multiple Cox regression model, adjusting for vaccination coverage velocity, swabbing probability, and monthly intensive care unit admissions rate in each LHA. Of the cohort, 81.2% were fully vaccinated. Factors associated with full vaccination included age, role, LHA, prior infection, and health status. Vaccination reduced infection risk by 77% (95% CI: 70-82). Infection risk was higher among healthcare assistants, nurses/physiotherapists/technicians compared to physicians, among male HCWs, and it decreased as vaccination timeliness increased. Vaccination timeliness is crucial for reducing SARS-CoV-2 infection risk among HCWs, regardless of their characteristics. This underscores the importance of efficiently organizing vaccination administration across different territories and for all HCW categories.

Indexed as

COVID-19COVID-19 VaccinesHealth PersonnelSARS-CoV-2VaccinationAdolescentAdultAgedCohort StudiesDatabases, FactualFemaleHumansItalyMaleMiddle AgedVaccination CoverageCOVID-19 VaccinesCOVID-19Healthcare Utilisation databasesHealthcare workersSARS-CoV-2Vaccine impactVaccine timeliness

Identifiers

PMID39747281
PMCPMC11695641

What OpenQuestion holds

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LicenceCC BY
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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.