Evidence map›Paper›PMID 36793453›Full record

ArticleRevista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT

Costs of sickness absence in a service company in Colombia: case analysis by gender and occupation.

Francisco Palencia-Sánchez, Martha Isabel Riaño-Casallas

Abstract read
In one paragraph

Article in Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Francisco Palencia-SánchezFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Bogotá, Colombia.ORCID 0000-0002-8126-7748
Martha Isabel Riaño-CasallasFacultad de Ciencias Económicas, Universidad Nacional de Colombia, Bogotá, Bogotá, Colombia.ORCID 0000-0002-9384-1428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sickness absence is a phenomenon that has an impact on productivity, costs, and the working environment. Objectives: To understand the patterns of sickness absence by gender, age, and occupation, as well as its association with cost in a service company. Methods: We conducted a cross-sectional study based on the sick leave data for 889 employees in one service company. The total number of sick leave notifications registered was 156. We performed a t-test for gender and a non-parametric test for the mean differences related to cost. Results: We found that women registered more sick days than men, accounting for 68.59% of all sick days recorded. Absence due to sickness was more common in the age range of 35-50 years for both men and women. The mean number of days lost was 6, and the average cost was 313 U.S. dollars. Chronic disease was the main cause of sick leave, representing 66.02% of all absent days. There were no differences in the mean number of days of sick leave between men and women. Conclusions: There is no statistical difference in the number of days of sick leave between men and women. The costs of absence related to chronic disease are higher than those for other causes, so it is good practice to try developing health promotion programs in the workplace to prevent chronic disease in the working age population and reduce its associated costs.

Indexed as

absenteeismchronic diseases.costsick leavesickness absence patterns

Identifiers

PMID36793453
PMCPMC9904839

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.