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. 2023 Apr 11;69:103643. doi: 10.1016/j.nepr.2023.103643

Table 2.

The statistical results of interrupted time series regression analyses of the impact of the COVID-19 pandemic on the nursing burnout rate in total region subgroups.

Coefficient, 95%CI
Pre-COVID-19 pandemic trend (β1) Rate change (β2) COVID-19 pandemic trend (β3) COVID-19 pandemic change (β1 + β3)
Total (n = 90) 0.0007497 * (0.0000316, 0.0014677) -0.0061033(−0.1401596, 0.1279529) 0.0231042 * *(0.0086818, 0.0375266) 0.0238539 * (0.0087134, 0.0389943)
Region subgroup
Occident (n = 56) 0.000603(−0.0005504, 0.0017563) 0.2362564 * *(0.187537, 0.2849757) -0.0021181(−0.0061508, 0.0019145) -0.001578(−0.0067012, 0.0036708)
Non-Occident (n = 34) 0.0017584 * (0.0003755, 0.0031413) -0.1694088 * *(−0.243112, −0.0957056) 0.0304174 * *(0.0230258, 0.037809) 0.0321758 * *(0.0234013, 0.0409503)

“Pre-COVID-19 pandemic trend” indicates the pre-pandemic slope of nursing burnout rate and is β1.

“Rate change” indicates the changes in nursing burnout rate in the month of the pandemic outbreak and is β2.

“COVID-19 pandemic trend” indicates the difference of the slope of nursing burnout rate after the onset of the pandemic and is β3.

“COVID-19 pandemic change” indicates the slope in nursing burnout rate after the onset of the pandemic and is the sum of β1 and β3.

*P < 0.05, * *P < 0.001