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1.
Environmental Health and Preventive Medicine ; : 13-13, 2023.
Artigo em Inglês | WPRIM | ID: wpr-971203

RESUMO

BACKGROUND@#The coronavirus disease 2019 (COVID-19) pandemic may have increased the rate of presenteeism among front-line physicians. Presenteeism is the term used to describe attendance at work despite ill health that would normally prompt rest or absence from work. This study aimed to examine the associations between COVID-19 clinical practice and presenteeism among physicians.@*METHODS@#A cross-sectional study was conducted from December 2021 to January 2022. The questionnaires were distributed to 21,737 employed physicians who were members of the Japan Medical Association. Presenteeism was measured by the Work Functioning Impairment Scale. Multiple logistic regression analysis was used to evaluate the association between COVID-19 clinical practice and presenteeism.@*RESULTS@#Overall, 3,968 participants were included in the analysis, and presenteeism was observed in 13.9% of them. The rate of presenteeism significantly increased with both the number of COVID-19 patients treated and the percentage of work time spent treating these patients (both P values for trend < 0.001). In comparison to those not currently engaged in the treatment of COVID-19 patients, presenteeism was significantly higher among front-line (adjusted odds ratio [aOR] = 1.71, 95% confidence interval [CI]: 1.16-2.53) and second-line physicians supporting those in the front-line (aOR = 1.45, 95% CI: 1.17-1.78). There was no association between involvement in COVID-19 vaccination services and presenteeism.@*CONCLUSIONS@#The burden on front-line and second-line physicians in COVID-19 clinical practice must be minimized. Employed physicians also need to recognize the importance of communicating with their workplaces about presenteeism.


Assuntos
Humanos , COVID-19/epidemiologia , Presenteísmo , Japão/epidemiologia , Estudos Transversais , Vacinas contra COVID-19 , Médicos , Inquéritos e Questionários
2.
Environmental Health and Preventive Medicine ; : 94-94, 2021.
Artigo em Inglês | WPRIM | ID: wpr-922188

RESUMO

BACKGROUND@#To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan's voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app.@*METHODS@#This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use.@*RESULTS@#Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14-1.45) and information technology (aOR = 1.38, 95% CI 1.20-1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76-0.99) and food/beverage (aOR = 0.81, 95% CI 0.70-0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed.@*CONCLUSIONS@#Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.


Assuntos
Adulto , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , COVID-19/prevenção & controle , Busca de Comunicante/métodos , Estudos Transversais , Indústrias/classificação , Japão/epidemiologia , Aplicativos Móveis/estatística & dados numéricos , SARS-CoV-2 , Smartphone , Local de Trabalho/estatística & dados numéricos
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