Evidence map›Paper›PMID 33998105›Full record

ArticleJournal of occupational health2021

A cross-sectional study of socioeconomic status and treatment interruption among Japanese workers during the COVID-19 pandemic.

Kenji Fujimoto, Tomohiro Ishimaru, Seiichiro Tateishi, Tomohisa Nagata, Mayumi Tsuji, Hisashi Eguchi, Akira Ogami, Shinya Matsuda, Yoshihisa Fujino, CORoNaWork Project

Abstract read
In one paragraph

Article in Journal of occupational health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Kenji FujimotoOccupational Health Data Science Center, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Tomohiro IshimaruDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9334-1423
Seiichiro TateishiDepartment of Occupational Medicine, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Tomohisa NagataDepartment of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0001-9173-420X
Mayumi TsujiDepartment of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Hisashi EguchiDepartment of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Japan.
Akira OgamiDepartment of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Shinya MatsudaDepartment of Preventive Medicine and Community Health, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Yoshihisa FujinoDepartment of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.ORCID https://orcid.org/0000-0002-9126-206X
CORoNaWork Project

Funding

Anshin ZaidanChugai Pharmaceutical Co., Ltd.Health, Labour and Welfare Sciences Research Grants H30-josei-ippan-002Health, Labour and Welfare Sciences Research Grants H30-roudou-ippan-007the University of Occupational and Environmental Health
6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic has caused interruptions to chronic disease and non-emergency treatment. The purpose of this study is to examine which socioeconomic status groups are most at risk of treatment interruption among Japanese workers.

methodsThis cross-sectional internet monitor study was conducted among Japanese workers on December 22-26, 2020. Out of a total of 33 302 participants in the survey, 9510 (5392 males and 4118 females) who responded that they required regular treatment or hospital visits were included in the analysis. A multilevel logistic model nested in the prefecture of residence was used to estimate the odds ratio (OR) for treatment disruption. We examined separate multivariate models for socioeconomic factors, health factors, and lifestyle factors.

resultsDuring a period of rapid COVID-19 infection, about 11% of Japanese workers who required regular treatment experienced interruptions to their treatment. The OR of treatment interruption associated with not being married compared with being married was 1.44 (95%CI: 1.17-1.76); manual labor work compared with desk work was 1.30 (95%CI: 1.11-1.52); loss of employment when the COVID-19 pandemic started and continued unemployment compared with being employed over the entire pandemic period was 1.62 (95%CI: 1.13-2.31) and 2.57 (95%CI: 1.63-4.07), respectively; and feeling financially unstable was 2.92 (95%CI: 2.25-3.80).

conclusionTreatment interruption is a new health inequality brought about by COVID-19 with possible medium- and long-term effects, including excess mortality, morbidity, and productivity loss due to increased presenteeism. Efforts are needed to reduce treatment interruptions among workers who require regular treatment.

Indexed as

Health Services AccessibilityOccupational HealthPandemicsSocioeconomic FactorsCOVID-19Cross-Sectional StudiesFemaleHumansJapanMaleSARS-CoV-2Surveys and QuestionnairesCOVID-19Japanpatient acceptance of health caresocioeconomic factorstreatment refusal

Identifiers

PMID33998105
PMCPMC8126756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.