" Seems Like There Is No Stopping Point at All Whatsoever": A Mixed-Methods Analysis of Public Health Workforce Perception on COVID-19 Pandemic Management and Future Needs

Int J Environ Res Public Health. 2023 Jul 12;20(14):6350. doi: 10.3390/ijerph20146350.

Abstract

The COVID-19 pandemic, caused by a highly contagious novel virus called SARS-CoV-2, has led to significant global morbidity and mortality, with disproportionate burden among frontline workers. While the current empirical body of evidence highlights reported depression, burnout, moral injury, compassion fatigue, and post-traumatic stress among healthcare workers, similar assessment among the public health workforce is limited. Given work-related pressure of rapid pandemic management strategies, risk of exposure, potential fatigue, etc., understanding the caregiver burden of the public health workforce is critical. Methods: This study used a convergent parallel mixed-methods design. Participants were recruited using a mix of both convenience and snowball sampling. All data were collected virtually and kept anonymous. All statistical analyses were conducted using SPSS version 28, and all qualitative results were thematically analyzed using the grounded theory approach. Results: Among the study participants, nearly 65% reported that their personal lives were impacted due to providing COVID-19 related services. Furthermore, a majority (88%) reported poor sleep health, including low daytime wakefulness, while 24% reported serious psychological distress. Qualitative analysis demonstrated several emergent themes, with central themes indicative of the need for paradigm shift in capacity building for public health emergency preparedness that integrates caregiver support. Conclusions: Results highlight the importance of addressing the caregiver burden experienced by public health and related workforces during public health emergencies.

Keywords: COVID-19; mental health; public health workforce; staff burnout; staff shortage.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Health Personnel / psychology
  • Health Workforce
  • Humans
  • Pandemics
  • Perception
  • Public Health
  • SARS-CoV-2

Grants and funding

T.L. was funded by the Office of Student Research at California State University, San Bernardino.