Literature DB >> 32649650

Help-Seeking Behavior of Returning to Work in Healthcare Workers and its Influencing Factors During COVID-19 Subsiding.

Ruying Lai1, Li Tan, Xiaoquan Lai, Xinping Zhang, Qian Zhou.   

Abstract

OBJECTIVES: To explore the level and influencing factors of help-seeking behavior of returning to work in healthcare workers (HCWs).
METHODS: A total of 861 HCWs were surveyed. A structured self-administered questionnaire was used to collect data. Multivariable logistic regression was performed to examine the influencing factors of help-seeking behavior.
RESULTS: HCWs sought help with respect to COVID-19-diagnosized problem most. Help-seeking intention, problems encountered after return, test for return, work condition during COVID-19, relatives or friends diagnosed or suspected as COVID-19, and socio-demographic characteristics such as occupation, education, title, and marriage status are predictors of help-seeking behavior.
CONCLUSIONS: Education and intervention should lay particular stress on HCWs featured rest at home before return, doctor, lower education and lower title to ensure the safety, accuracy, and quality of work after they return to work for a better occupational environment.

Entities:  

Mesh:

Year:  2020        PMID: 32649650     DOI: 10.1097/JOM.0000000000001959

Source DB:  PubMed          Journal:  J Occup Environ Med        ISSN: 1076-2752            Impact factor:   2.162


  3 in total

Review 1.  Returning to Work after the COVID-19 Pandemic Earthquake: A Systematic Review.

Authors:  Elpidio Maria Garzillo; Arcangelo Cioffi; Angela Carta; Maria Grazia Lourdes Monaco
Journal:  Int J Environ Res Public Health       Date:  2022-04-09       Impact factor: 4.614

2.  Time to a Negative SARS-CoV-2 PCR Predicts Delayed Return to Work After Medical Leave in COVID-19 Infected Health Care Workers.

Authors:  Jaime Villarreal; Sandra Valeria Nieto; Fabián Vázquez; M Teresa Del Campo; Ignacio Mahillo; Rafael E de la Hoz
Journal:  J Occup Environ Med       Date:  2021-11-01       Impact factor: 2.306

3.  Meta-regression of COVID-19 prevalence/fatality on socioeconomic characteristics of data from top 50 U.S. large cities.

Authors:  Hisato Takagi; Toshiki Kuno; Yujiro Yokoyama; Hiroki Ueyama; Takuya Matsushiro; Yosuke Hari; Tomo Ando
Journal:  J Med Virol       Date:  2020-08-02       Impact factor: 20.693

  3 in total

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