Evidence map›Paper›PMID 36699897›Full record

ArticleFrontiers in public health2022

The impact of disease changes and mental health illness on readapted return to work after repeated sick leaves among Brazilian public university employees.

Adriano Dias, Hélio Rubens de Carvalho Nunes, Carlos Ruiz-Frutos, Juan Gómez-Salgado, Melissa Spröesser Alonso, João Marcos Bernardes, Juan Jesús García-Iglesias, Juan Ramón Lacalle-Remigio

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

8 authors.

Adriano DiasDepartment of Public Health, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, Brazil.
Hélio Rubens de Carvalho NunesDepartment of Public Health, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, Brazil.
Carlos Ruiz-FrutosDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, Huelva, Spain.
Juan Gómez-SalgadoDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, Huelva, Spain.
Melissa Spröesser AlonsoPublic/Collective Health Graduate Program, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, Brazil.
João Marcos BernardesDepartment of Public Health, Botucatu Medical School, São Paulo State University (UNESP), Botucatu, Brazil.
Juan Jesús García-IglesiasDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, Huelva, Spain.
Juan Ramón Lacalle-RemigioDepartment of Preventive Medicine and Public Health, Faculty of Medicine, University of Sevilla, Sevilla, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health affects work absenteeism and productivity of workers, making it a relevant marker of an individual's professional development. Objectives: The aims of this article were to investigate whether changes in the main cause of the sick leaves and the presence of mental health illnesses are associated with return to work with readaptation. Materials and methods: A historical cohort study was carried out with non-work-related illnesses suffered by statutory workers of university campuses in a medium-sized city in the state of São Paulo, Brazil. Two exposures were measured: (a) changes, throughout medical examinations, in the International Classification of Diseases (ICD-10) chapter regarding the main condition for the sick leave; and (b) having at least one episode of sick leave due to mental illness, with or without change in the ICD-10 chapter over the follow-up period. The outcome was defined as return to work with adapted conditions. The causal model was established Results: Among workers in adapted conditions, 64% were health professionals, 34% had had changes in the ICD-10 chapter throughout the series of sick leaves, and 62% had diagnoses of mental health issues. In addition, they worked for less time at the university and were absent for longer periods. Having had a change in the illness condition reduced the chance of returning to work in another function by more than 30%, whereas having had at least one absence because of a cause related to mental and behavioral disorders more than doubled the chance of not returning to work in the same activity as before. Conclusion: These results were independent of the analysis technique used, which allows concluding that there were no advantages in the use of targeted maximum likelihood estimation (TMLE), given its difficulties in access, use, and assumptions.

Indexed as

Mental DisordersMental HealthBrazilCohort StudiesHumansReturn to WorkSick LeaveUniversitiesabsenteeismlogistic regressionreadaptationreturn to workTargeted Machine Learning

Identifiers

PMID36699897
PMCPMC9868700

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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.