Evidence map›Paper›PMID 35335092›Full record

ArticleVaccines2022

Flu Vaccination Coverage and Predictors of Non-Vaccination in Military Health Corps Personnel 2016-2017 and 2019-2021.

María Julia Ajejas Bazán, Francisco Javier Pérez-Rivas, Julia Wärnberg, Carlos Fuentes Mora, Lucía Elena Ballester Orcal, Jose Manuel Gómez Crespo, Candelas López-López, Silvia Domínguez-Fernández, Milagros Rico-Blázquez, Napoleón Pérez-Farinós

Abstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

10 authors.

María Julia Ajejas BazánDepartamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0001-5343-3377
Francisco Javier Pérez-RivasDepartamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0003-4294-8417
Julia WärnbergGrupo de Investigación UCM "Salud Pública-Estilos de Vida, Metodología Enfermera y Cuidados en el Entorno Comunitario", Departamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-8408-316X
Carlos Fuentes MoraDepartamento de Coordinación y Docencia del Hospital Central de la Defensa, 28040 Madrid, Spain.
Lucía Elena Ballester OrcalJefe del Departamento de Enfermedades Infecciosas, Hospital Central de la Defensa, 28040 Madrid, Spain.
Jose Manuel Gómez CrespoAcademia Central de la Defensa, Escuela Militar de Sanidad, Ministerio de Defensa, 28040 Madrid, Spain.
Candelas López-LópezDepartamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0003-1536-8660
Silvia Domínguez-FernándezGrupo de Investigación UCM "Salud Pública-Estilos de Vida, Metodología Enfermera y Cuidados en el Entorno Comunitario", Departamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Milagros Rico-BlázquezDepartamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0001-7308-4450
Napoleón Pérez-FarinósGrupo de Investigación UCM "Salud Pública-Estilos de Vida, Metodología Enfermera y Cuidados en el Entorno Comunitario", Departamento de Enfermería, Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0001-7936-1172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Vaccination is the most effective intervention to control seasonal influenza morbidity and mortality. The present study aimed to determine the influenza vaccination coverage in the Military Health Corps personnel in the 2020−2021 season, as well as the time trend and the possible influence of the pandemic on coverage, in order to study the reasons that led to the non-vaccination of health professionals and to analyze adverse drug reactions (ADRs). (2) Methods: A descriptive, cross-sectional study was conducted from February to May 2021. All FAS CMS personnel were included. A self-administered questionnaire was sent by e-mail to the selected personnel. (3) Results: Vaccination coverage in the 2016−2017 season was 15.8% (n = 276), in the 2019−2020 season it was 17.41% (n = 424), and in the 2020−2021 season it was 24.22% (n = 590). The percentage of vaccinated men was higher than the percentage of women. In 2019 and 2020 the most vaccinated group was 31−40 years old. Lieutenants had the highest vaccination uptake in 2019 and 2020. The personnel with the highest uptake of vaccines were those in the specialty of nursing in each of 2016, 2019 and 2020, with >30 years of time worked in 2016. In terms of factors leading to refusal of vaccination, the most reported was “not considered a risk group” (23.0%), and the least reported was “avoidance of vaccine administration” (2.2%). Eighty individuals presented adverse reactions after vaccine administration (9.6%). (4) Conclusions: The rate of influenza vaccination among healthcare professionals was lower during the 2020 season compared to the previous season, but was expected to increase in the upcoming 2021 season.

Indexed as

adverse reactionsinfluenza vaccinesmilitary personnelvaccination coverage

Identifiers

PMID35335092
PMCPMC8953286

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.