2023
DOI: 10.2196/43000
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Frontline Health Care Workers’ Mental Health and Well-Being During the First Year of the COVID-19 Pandemic: Analysis of Interviews and Social Media Data

Abstract: Background The COVID-19 pandemic has shed light on fractures in health care systems worldwide and continues to have a significant impact, particularly in relation to the health care workforce. Frontline staff have been exposed to unprecedented strain, and delivering care during the pandemic has affected their safety, mental health, and well-being. Objective This study aimed to explore the experiences of health care workers (HCWs) delivering care in the … Show more

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Cited by 5 publications
(3 citation statements)
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References 61 publications
(85 reference statements)
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“…Survey response rates were very low, despite active reminders. These are perhaps explained by a level of COVID-19 fatigue or burnout [ 87 , 88 ] at the time of the survey. In addition, each site used their existing email databases for staff.…”
Section: Discussionmentioning
confidence: 99%
“…Survey response rates were very low, despite active reminders. These are perhaps explained by a level of COVID-19 fatigue or burnout [ 87 , 88 ] at the time of the survey. In addition, each site used their existing email databases for staff.…”
Section: Discussionmentioning
confidence: 99%
“…Due to the length of the data extracted, an appropriate big qualitative data analysis method was applied. The Collaborative and Digital Analysis of Big Qual Data in Time Sensitive Contexts (LISTEN) method connects the human insight of participatory analysis methods, and the precision and agility of digital analysis software (17). This analysis consists of iterative cycles of intercalating team discussions and the use of digital text and discourse analytics tools.…”
Section: Methodsmentioning
confidence: 99%
“…Beginning analysis by digitally identifying key topics present in the data reduces potential researcher bias, while following this structured process with an in-depth manual exploration mitigates limitations of analysis software. 19 These initial summaries were then refined further by two researchers (PCG, HL), through considering potential latent themes and groupings within these data (07/2022). The emerging results synthesis was reviewed and refined in a workshop with four peer researchers (GM, ML, KV, CS) (09/2022).…”
Section: Methodsmentioning
confidence: 99%