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Volume 29, Number 2—February 2023

Relationship between Telework Experience and Presenteeism during COVID-19 Pandemic, United States, March–November 2020

Livvy Shafer, Faruque AhmedComments to Author , Sara Kim, Karen J. Wernli, Michael L. Jackson, Mary Patricia Nowalk, Todd Bear, Richard K. Zimmerman, Emily T. Martin, Arnold S. Monto, Manjusha Gaglani, Michael Reis, Jessie R. Chung, Brendan Flannery, and Amra Uzicanin
Author affiliations: Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA (L. Shafer); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (L. Shafer, F. Ahmed, S. Kim, J.R. Chung, B. Flannery, A. Uzicanin); Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA (K.J. Wernli, M.L. Jackson); University of Pittsburgh, Pittsburgh, Pennsylvania, USA (M.P. Nowalk, T. Bear, R.K. Zimmerman); University of Michigan, Ann Arbor, Michigan, USA (E.T. Martin, A.S. Monto); Baylor Scott and White Health, Temple, Texas, USA (M. Gaglani, M. Reis); Texas A&M University College of Medicine, Temple (M. Gaglani, M. Reis)

Main Article

Table 2

Associations between telework experience before illness and COVID-19 status with working onsite during illness, United States, March–November 2020

Characteristic Worked onsite during illness*
Adjusted odds ratio (95% CI)†
Yes, n = 318 No, n = 629
Telework experience before illness
Yes 44 (21.5) 161 (78.5) 0.45 (0.30–0.68)
274 (36.9)
468 (63.1)
COVID-19 case
Yes 51 (22.1) 180 (77.9) 0.36 (0.24–0.53)
267 (37.3)
449 (62.7)
Telework experience before illness: Yes
COVID-19 case
Yes 2 (6.5) 29 (93.6) 0.16 (0.03–0.82)
42 (24.1)
132 (75.9)
Telework experience before illness: No
COVID-19 case
Yes 49 (24.5) 151 (75.5) 0.38 (0.26–0.57)
No 225 (41.5) 317 (58.5) Referent

*Among 318 persons categorized as having worked onsite during illness, 58 persons worked both onsite and remotely. Persons categorized as not having worked onsite during illness consisted of persons who did not work or solely teleworked. †Dependent variable in the multi-level logistic regression model is worked onsite during illness (0 = No, 1 = Yes). Independent variables are telework experience before illness (0 = No, 1 = Yes), COVID-19 case (0 = No, 1 = Yes), race/ethnicity, education, healthcare personnel status, hours typically worked per week before illness, illness onset period, and study site.

Main Article

Page created: December 06, 2022
Page updated: January 21, 2023
Page reviewed: January 21, 2023
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