Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73672, first published .
Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Samaneh Omranian   1, 2 , MSc ;   Lu He   3 , PhD ;   AkkeNeel Talsma   4 , PhD ;   Arielle A J Scoglio   5, 6 , PhD ;   Susan McRoy   2 , PhD ;   Janet W Rich-Edwards   1, 6 , SCD

1 Brigham and Women’s Hospital and Harvard Medical School, Harvard University, Boston, MA, United States

2 College of Engineering and Applied Science, University of Wisconsin–Milwaukee, Milwaukee, WI, United States

3 College of Publich Health, University of Wisconsin–Milwaukee, Milwaukee, WI, United States

4 School of Nursing, University of Wisconsin–Milwaukee, Milwaukee, WI, United States

5 Department of Natural and Applied Sciences, Bentley University, Waltham, MA, United States

6 T.H. Chan School of Public Health, Harvard University, Boston, MA, United States

Corresponding Author:

  • Samaneh Omranian, MSc
  • College of Engineering and Applied Science
  • University of Wisconsin–Milwaukee
  • 3200 Cramer Street
  • Milwaukee, WI 53211
  • United States
  • Phone: 1 4142294000
  • Email: omranian@uwm.edu