Determining the importance of high-reliability healthcare organizations during the Covid-19 pandemic: Evidence from healthcare workers in Turkey

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The Covid-19 pandemic has caused changes in the social and economic environments for healthcare. Particularly, to avoid spreading the Coronavirus pandemic, release the stress among healthcare workers, and make them work effectively during the epidemic, high-reliability healthcare organizations give great importance to the improvement of their functions. This study aims to show the importance of high-reliability healthcare organizations comparing their effectiveness during a pandemic by applied qualitative research method with many statistical analyses. In order to achieve the aim of the study, a Likert scale survey technique is used to collect the data by using an online survey. 280 healthcare workers filled the survey from January 17, 2021, to February 22, 2021. Based on the outcomes of the analyses, it has been found that such functions as shared knowledge pattern, provision of self-care, awareness of the coronavirus consequences at the workplace of high-reliability healthcare organizations have a positive and significant relationship at p < 0.01 level with taken appropriate measures against coronavirus variable. Self-awareness of organizational role, organizational resources to provide safety, flexibility of work, environmental safety, and collective mindfulness do not have any relationship with the appropriate measures against Covid-19 variable. This outcome indicates that shared knowledge pattern, provision of self-care, and awareness of the coronavirus consequences at the workplace have a more important role in combating Covid-19 in high-reliability healthcare organizations.

Acknowledgments
We would like to thank all the healthcare workers, who filled the survey of the study. This paper is supported by EFOP-3.6.3-VEKOP-16-2017-00007—“Young researchers for talent”— supporting careers in research activities in higher education program.

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    • Table 1. Description, abbreviation, and definitions of main variables
    • Table 2. Descriptive statistic of variables
    • Table 3. Reliability test
    • Table 4. OLS regression for Equation (1)
    • Conceptualization
      Imran Sarihasan
    • Data curation
      Imran Sarihasan, Main Al-Dalahmeh, Allam Yousuf
    • Formal Analysis
      Imran Sarihasan, Main Al-Dalahmeh
    • Investigation
      Imran Sarihasan
    • Methodology
      Imran Sarihasan, Main Al-Dalahmeh
    • Project administration
      Imran Sarihasan
    • Resources
      Imran Sarihasan, Main Al-Dalahmeh
    • Software
      Imran Sarihasan, Main Al-Dalahmeh
    • Supervision
      Imran Sarihasan
    • Validation
      Imran Sarihasan
    • Visualization
      Imran Sarihasan, Main Al-Dalahmeh
    • Writing – original draft
      Imran Sarihasan, Judit Oláh, Main Al-Dalahmeh, Allam Yousuf, Krisztina Dajnoki
    • Writing – review & editing
      Imran Sarihasan, Judit Oláh, Main Al-Dalahmeh, Allam Yousuf, Krisztina Dajnoki
    • Funding acquisition
      Krisztina Dajnoki