Evidence map›Paper›PMID 31634347›Full record

ArticlePloS one2019

Organizational justice and illness reporting among Japanese employees with chronic diseases.

Hisashi Eguchi, Akizumi Tsutsumi, Akiomi Inoue, Yuko Kachi

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

4 authors.

Hisashi EguchiDepartment of Public Health, Kitazato University School of Medicine, Minami-ku, Sagamihara, Kanagawa, Japan.ORCID 0000-0002-4153-8574
Akizumi TsutsumiDepartment of Public Health, Kitazato University School of Medicine, Minami-ku, Sagamihara, Kanagawa, Japan.
Akiomi InoueDepartment of Public Health, Kitazato University School of Medicine, Minami-ku, Sagamihara, Kanagawa, Japan.
Yuko KachiDepartment of Public Health, Kitazato University School of Medicine, Minami-ku, Sagamihara, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study examined the association between perceived organizational justice (i.e., procedural justice and interactional justice) and reporting of illness to one's company (illness reporting) among Japanese employees with chronic diseases.

methodsThis online cross-sectional survey included 1,134 employees (aged 18-65 years) who required workplace support to combine work with disease treatment. Participants were classified into tertiles of perceived organizational justice (low, moderate, and high). Multiple logistic regression analyses were conducted to examine sex differences in the associations between perceived justice and illness reporting.

resultsMales reporting perceived high levels of procedural and interactional justice had significantly higher odds of illness reporting than those with perceived low levels of procedural (odds ratio [OR] 2.62, 95% confidence interval [CI]: 1.47-4.66) and interactional justice (OR 4.34, 95% CI: 2.28-8.27). Females with perceived high levels of interactional justice had significantly higher odds of illness reporting than those with perceived low levels of interactional justice (OR 1.74, 95% CI: 1.08-2.80). There was no significant association between procedural justice and illness reporting among females.

conclusionThe findings indicate that high perceived organizational justice is positively associated with illness reporting among Japanese employees who require workplace support to combine work and disease treatment.

Indexed as

Organizational CultureSocial JusticeAdolescentAdultAgedChronic DiseaseFemaleHumansJapanMaleMiddle AgedOccupational HealthPublic Health SurveillanceYoung Adult

Identifiers

PMID31634347
PMCPMC6802873

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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.