Influence of Selective Factors on the Rate of Infection with Coronavirus 2019 of Professional Nurses at Samut Prakan Hospital: A Retrospective Study.

Abstract

Abstract

The purpose of this retrospective research was to study the influence of the factors of age, body mass index, chronic disease, family members infected with the novel coronavirus disease 2019 (COVID-19), place of work (department), working hours per week, perceived susceptibility to infection with COVID-19, and perceived barriers to COVID-19 prevention on the rate of infection with COVID-19 of professional nurses at Samut Prakan Hospital.

            The sample was 250 professional nurses employed at Samut Prakan Hospital, of whom 125 had been infected with COVID-19 and 125 of whom remained uninfected.  The research instrument was a questionnaire, developed by the researcher, which consisted of 4 parts, 1) a personal data form, 2) working hours per week record, 3) perceived susceptibility to infection with COVID-19 and 4) perceived barriers to preventing infection with COVID-19.  The content validity of the questionnaire was examined by five experts.  The Cronbach's alpha coefficients of parts 3 and 4 were 0.72 and 0.72, respectively.  Data were analyzed by descriptive statistics such as frequency, percentage, standard deviation and multiple logistic regression.

            The results showed that the factors of place of work and working hours per week could significantly predict the rate of infection with COVID-19 of professional nurses at Samut Prakan Hospital, accounting for 15.3% of variance. Professional nurses who worked in the internal medicine department were 3.73 times more likely to become infected with COVID-19 than those who worked in the surgery department (OR = 3.73; 95% CI = 1.88 – 7.37; p = .001). Professional nurses who worked more than 40 hours per week had a rate of COVID-19 infection that was 3.73 times greater than those whose working hours per week were less than or equal to 40 hours per week (OR = 2.36, 95% CI = 1.21 – 4.59, p < .005).

Keywords: Coronavirus 2019, Professional nurses, working hours per week, perceived susceptibility of infected by Coronavirus 2019, perceived barrier to COVID 2019 prevention.