Evidence map›Paper›PMID 28793335›Full record

ArticlePloS one2017

Estimation of sickness absenteeism among Italian healthcare workers during seasonal influenza epidemics.

Maria Michela Gianino, Gianfranco Politano, Antonio Scarmozzino, Lorena Charrier, Marco Testa, Sebastian Giacomelli, Alfredo Benso, Carla Maria Zotti

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
15.3field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  14. Considerations for de-escalating universal masking in healthcare centers.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Review
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  16. Article
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  19. Article
  20. Economic impact of acute respiratory disease pandemics: A scoping review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    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 at 3 institutions in 1 country.

Maria Michela GianinoDepartment of Public Health Sciences and Pediatrics, Università di Torino, Torino, Italy.ORCID http://orcid.org/0000-0003-4239-7475
Gianfranco PolitanoDepartment of Control and Computer Engineering, Politecnico di Torino, Torino, Italy.
Antonio ScarmozzinoAOU Città della salute e della Scienza, Torino, Italy.
Lorena CharrierDepartment of Public Health Sciences and Pediatrics, Università di Torino, Torino, Italy.
Marco TestaDepartment of Public Health Sciences and Pediatrics, Università di Torino, Torino, Italy.
Sebastian GiacomelliDepartment of Public Health Sciences and Pediatrics, Università di Torino, Torino, Italy.
Alfredo BensoDepartment of Control and Computer Engineering, Politecnico di Torino, Torino, Italy.
Carla Maria ZottiDepartment of Public Health Sciences and Pediatrics, Università di Torino, Torino, Italy.
University of Turin · ITPolitecnico di Torino · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze absenteeism among healthcare workers (HCWs) at a large Italian hospital and to estimate the increase in absenteeism that occurred during seasonal flu periods.

designRetrospective observational study.

methodsThe absenteeism data were divided into three "epidemic periods," starting at week 42 of one year and terminating at week 17 of the following year (2010-2011, 2011-2012, 2012-2013), and three "non-epidemic periods," defined as week 18 to week 41 and used as baseline data. The excess of the absenteeism occurring among HCWs during periods of epidemic influenza in comparison with baseline was estimated. All data, obtained from Hospital's databases, were collected for each of the following six job categories: medical doctors, technical executives (i.e., pharmacists), nurses and allied health professionals (i.e., radiographers), other executives (i.e., engineers), nonmedical support staff, and administrative staff. The HCWs were classified by: in and no-contact; vaccinated and unvaccinated.

results5,544, 5,369, and 5,291 workers in three years were studied. The average duration of absenteeism during the epidemic periods increased among all employees by +2.07 days/person (from 2.99 to 5.06), and the relative increase ranged from 64-94% among the different job categories. Workers not in contact with patients experienced a slightly greater increase in absenteeism (+2.28 days/person, from 2.73 to 5.01) than did employees in contact with patients (+2.04, from 3.04 to 5.08). The vaccination rate among HCWs was below 3%, however the higher excess of absenteeism rate among unvaccinated in comparison with vaccinated workers was observed during the epidemic periods (2.09 vs 1.45 days/person).

conclusionThe influenza-related absenteeism during epidemic periods was quantified as totaling more than 11,000 days/year at the Italian hospital studied. This result confirms the economic impact of sick leave on healthcare systems and stresses on the necessity of encouraging HCWs to be immunized against influenza.

Indexed as

AbsenteeismAdultEpidemicsFemaleHealth PersonnelHumansInfluenza, HumanInfluenza VaccinesItalyMaleMiddle AgedSeasonsInfluenza Vaccines

Identifiers

PMID28793335
PMCPMC5549991
OpenAlexW2744901518

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.