Evidence map›Paper›PMID 32344791›Full record

ArticleInternational journal of environmental research and public health2020

Can the Psychosocial Safety Climate Reduce Ill-Health Presenteeism? Evidence from Chinese Healthcare Staff under a Dual Information Processing Path Lens.

Beini Liu, Qiang Lu, Yue Zhao, Jing Zhan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

4 authors.

Beini LiuSchool of Business, Beijing Technology and Business University, Beijing 100048, China.
Qiang LuSchool of E-Business and Logistics, Beijing Technology and Business University; Beijing 100048, China.
Yue ZhaoSchool of Labor Economics, Capital University of Economics and Business; Beijing 100070, China.
Jing ZhanSchool of Labor Economics, Capital University of Economics and Business; Beijing 100070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of heavy workloads, non-transferable responsibilities, and shift systems, healthcare staff are prone to ill-health presenteeism. Based on social information processing theory, this study explored the influence of the psychosocial safety climate (PSC) on ill-health presenteeism. The mediating effects of perceived instrumental support and perceived emotional support and the moderating effect of organic structure in this process were observed. Using a time-lagged research design, data from 386 healthcare staff were gathered and multiple regression and bootstrapping were used to test each hypothesis. The results showed that: (1) PSC negatively relates to ill-health presenteeism. (2) Both perceived instrumental support and perceived emotional support mediate the relationship between PSC and ill-health presenteeism. The affective information processing path is more effective than the cognitive information processing path, but they do not convey a positive interaction effect on ill-health presenteeism. (3) The organic structure moderates the mediating effect of perceived emotional support but does not exert a significant moderating effect on the mediating process of perceived instrumental support. This study particularly identified PSC as a contextual antecedent of ill-health presenteeism. By combining organizational, work-related, and person-related factors, a more comprehensive theoretical framework for the understanding of ill-health presenteeism is developed, thus informing health promotion management.

Indexed as

CognitionHealth PersonnelOrganizational CulturePresenteeismSafetyHumansWorkloadWorkplaceill-health presenteeismorganic structureperceived emotional supportperceived instrumental supportpsychosocial safety climate

Identifiers

PMID32344791
PMCPMC7215888

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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.