Evidence map›Paper›PMID 38070887›Full record

ArticleBMJ open2023

Prevalence of mental disorders and high rates of absenteeism from work among healthcare professionals in Slovenia: a retrospective study.

Darja Korošec, Dominika Vrbnjak, Gregor Štiglic

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

3 authors.

Darja KorošecFaculty of Health Sciences, University of Maribor, Maribor, Slovenia darja.korosec@student.um.si.ORCID 0000-0002-2513-2582
Dominika VrbnjakFaculty of Health Sciences, University of Maribor, Maribor, Slovenia.ORCID 0000-0003-4952-078X
Gregor ŠtiglicFaculty of Health Sciences, University of Maribor, Maribor, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the prevalence of mental disorders and the higher rates of absenteeism from work among healthcare workers employed in Slovenia by analysing the prevalence of sick leave and medication prescriptions for treatment of mental health and behavioural disorders from 2015 to 2020.

designRetrospective analysis of nationwide data on absenteeism and prescription of medications for treatment of mental health and behavioural disorders (anxiolytics, antipsychotics, antidepressants).

settingNational databases of the National Institute of Public Health in Slovenia.

participantsAll employed healthcare workers (35 008 in December 2020): dentists, midwives, nurses, nursing assistants, pharmacists and physicians in Slovenia from 2015 to 2020.

resultsThe most time spent on sick leave by male healthcare workers aged >50 was for 'neoplasms' (71.50 days on average), followed by 'mental health and behavioural disorders' (62.08 days on average). Female healthcare workers under 40 years old spent the most time on sick leave for 'pregnancy, childbirth, and the postpartum period (puerperium)', causing an average of 58.38 days of sick leave. From 2015 to 2020, the highest increase in prescribed medications for treatment of mental health and behavioural disorders was among nursing assistants (an increase of 38.42%), pharmacists (an increase of 29.36%) and nurses (an increase of 26.61%); since the COVID-19 pandemic, an increase of 12.36% was found among dentists, an increase of 11.51% among pharmacists and an increase of 11.36% among nurses.

conclusionThe prescription of medications for treatment of mental health and behavioural disorders was on the rise from 2015 to 2020. The importance of employee health to individuals and society necessitates the systematisation of effective prevention programmes as well as programmes to assist those in need, especially health workers, whose work contributes significantly to maintaining public health.

Indexed as

AbsenteeismMental DisordersAdultDelivery of Health CareFemaleHealth PersonnelHumansMalePandemicsPregnancyPrevalenceRetrospective StudiesSick LeaveSloveniaCOVID-19health workforcemental healthoccupational & industrial medicine

Identifiers

PMID38070887
PMCPMC10729225

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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.