Evidence map›Paper›PMID 37456031›Full record

ArticleHeliyon2023

Impact of psychosocial risk on intention to leave work during COVID-19 in Indonesia: The mediatory roles of burnout syndrome and job satisfaction.

Felicia Felicia, Niko Sudibjo, Hg Retno Harsanti

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors.

Felicia FeliciaFaculty of Economics and Business, Universitas Pelita Harapan, Indonesia.
Niko SudibjoFaculty of Education, Universitas Pelita Harapan, Indonesia.
Hg Retno HarsantiFaculty of Education and Language, Universitas Katolik Indonesia Atma Jaya, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic intensified the complexity of work in the health sector, leading to an increase in the intention to leave work (ITL) in Indonesia. Previous research has revealed a theoretical gap in investigating the roles of burnout syndrome (BS) and job satisfaction (JS) as mediators of the effect of psychosocial risk (PR) on ITL. This research study aimed to fill this gap by examining the effect of PR on ITL during the COVID-19 pandemic, with BS and JS as mediators. Data was collected from 306 health workers in public and private hospitals of Central Jakarta, Indonesia. This data was analyzed as part of a cross-sectional research study involving the partial least square-structural equation modeling (PLS-SEM) method and using SmartPLS software. The questionnaire was based on the Copenhagen Psychosocial Questionnaire (COPSOQ) III short version, the Burnout Assessment Tools (BAT), and a modified Turnover Intention. The findings revealed that, within the direct effect pathways, JS was the highest predictor of health workers' ITL, and workplace PR significantly impacted employees' JS and BS. Another notable finding was related to the research gap vis-a-vis the indirect effect pathways: it showed that JS and BS had partial mediatory power over the relationship between PR and ITL. BS and JS were found to have a high and significant impact on employees' ITL. Therefore, this research study has contributed to the model's novelty in measuring ITL mediated by JS and BS.

Indexed as

Burnout syndromeCOVID-19IndonesiaIntention to leave workJob satisfactionPsychosocial risk

Identifiers

PMID37456031
PMCPMC10344763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.