Evidence map›Paper›PMID 30653597›Full record

ArticlePloS one2019

Predictors of return to work with and without restrictions in public workers.

Adriano Dias, João Marcos Bernardes, Sandro Augusto Servilha Coquemala, Juan Gómez-Salgado, Carlos Ruiz-Frutos

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Adriano DiasPublic Health Graduate Program, Botucatu Medical School, Univ Estadual Paulista (UNESP), Sao Paulo, Brazil.ORCID 0000-0001-6895-372X
João Marcos BernardesPublic Health Graduate Program, Botucatu Medical School, Univ Estadual Paulista (UNESP), Sao Paulo, Brazil.ORCID 0000-0003-4494-9421
Sandro Augusto Servilha CoquemalaTechnical Assistant, Botucatu Medical School, Univ Estadual Paulista (UNESP), Sao Paulo, Brazil.
Juan Gómez-SalgadoDepartment of Nursing, University of Huelva, Huelva, Spain.ORCID 0000-0001-9053-7730
Carlos Ruiz-FrutosSafety and Health Posgrade Program, Universidad Espíritu Santo, Samborondón (Guayaquil), Ecuador.ORCID 0000-0003-3715-1382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSick leaves are important events for both the worker and the employer. Many factors are related with sick leaves and depending on the factors the worker could perform a successful return to work. In this sense, the objective of this study is to identify those factors associated with return to work after sick leaves in a group of public workers in Brazil.

methodsA case-control study of return to work after sick leaves in a university campus from 2010 to 2015. Logistic regression models were adjusted for two different response variables: return to work with and without restrictions. A digital database was created and completed with data from manual sources.

resultsA computerised database has been created, based on manual records, which has allowed us to identify labour and non-labour factors associated with the return to work after a sick leave and the possible functional readaptation, with or without restrictions, in public workers. Age at the beginning of the process, number of sick leaves, those of more than 16 days, average duration (total time of sick leaves / number of medical records), and mid-level healthcare positions were associated with return to work without restrictions. In the model of return to work with restrictions, the age of hiring by the university, the number of sick leaves, those of more than 16 days, and mid-level healthcare positions, both rural work and operational positions, were associated to the response variable.

conclusionsThis study has allowed us to identify the factors associated with the return to work after a period of sick leave in a large group of public workers. However, more research is needed on the mental disorders that cause sick leaves, their evaluation and the handling of these situations.

Indexed as

AbsenteeismAdultBrazilCase-Control StudiesDatabases, FactualDecision MakingEmploymentFemaleHumansLogistic ModelsMaleMiddle AgedReturn to WorkSick LeaveTime FactorsUniversities

Identifiers

PMID30653597
PMCPMC6336309

What OpenQuestion holds

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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.