Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during COVID-19: Twitter Text Analysis

Slobodin, Ortal; Plochotnikov, Ilia; Cohen, Idan-Chaim; Elyashar, Aviad; Cohen, Odeya; Puzis, Rami

doi:10.3390/ijerph19116895

Cited by 8 publications

(10 citation statements)

References 58 publications

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“…The results of this study established that longitudinal Tweets from IMIA Fellows offer insight into the major topics and events drawing attention in health IT-related professions, and in healthcare more generally. Other studies found Twitter to be a useful tool for discovering healthcare trends, particularly related to COVID-19 [12][13][14]. There have been several articles that investigate the use of Twitter to disseminate information related to COVID-19 and recommend that the information be trusted cautiously [15].…”

Section: Resultsmentioning

confidence: 99%

Insights on the Future of Digital Health: An Analysis of Twitter Posts of IMIA Fellows

Marc,

Lalani,

Fenton

et al. 2024

Studies in Health Technology and Informatics

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The COVID-19 pandemic has reshaped technology-enhanced services in health and care organizations globally. As the world pivots towards a post-COVID-19 environment, it is essential to examine emerging trends amongst thought leaders in the health information technology sector. This study queried Twitter feeds of IMIA Fellows from 2013 through 2022, utilizing combinations of sentiment analysis, latent dirichlet allocation, and document analysis methods. The results provided a glimpse of positive sentiment year upon year, with the most negative sentiment prevalent in 2020, due to the onset of the pandemic. The findings from this study can be strategically used to analyze emerging trends in digital health, as well as to shape health IT thought leadership in the post-pandemic landscape.

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Section: Resultsmentioning

confidence: 99%

Insights on the Future of Digital Health: An Analysis of Twitter Posts of IMIA Fellows

Marc,

Lalani,

Fenton

et al. 2024

Studies in Health Technology and Informatics

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“…The data were collected across a period spanning 54 months, from January 2018 to June 2022, which equates to approximately 27 months before and 27 months after the WHO declared COVID-19 a global pandemic on March 11, 2020. Data were separated into those that originated in Australia versus those that originated in other parts of the world because tweets are known to reflect local sociopolitical trends and cultural norms (eg, regarding the display of emotions [ 19 ]). Furthermore, we divided users into younger and older workers to explore whether the challenges that workers face interact with age.…”

Section: Resultsmentioning

confidence: 99%

“…An analysis of 4.5 million tweets posted by US and UK nurses revealed that health care providers in the 2 countries experienced common challenges concerning public health (eg, policy and COVID-19–related pressures), social values (related to aspects of health), and political issues related to the COVID-19 pandemic (more positive in the United Kingdom) [ 19 ]. However, the experiences in the 2 countries reflected local sociopolitical trends and the cultural norms regarding emotional display (more accepted in the United States and more reserved in the United Kingdom).…”

Section: Introductionmentioning

confidence: 99%

Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data

Li,

Tang,

Montayre

et al. 2024

J Med Internet Res

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Background Construction and nursing are critical industries. Although both careers involve physically and mentally demanding work, the risks to workers during the COVID-19 pandemic are not well understood. Nurses (both younger and older) are more likely to experience the ill effects of burnout and stress than construction workers, likely due to accelerated work demands and increased pressure on nurses during the COVID-19 pandemic. In this study, we analyzed a large social media data set using advanced natural language processing techniques to explore indicators of the mental status of workers across both industries before and during the COVID-19 pandemic. Objective This social media analysis aims to fill a knowledge gap by comparing the tweets of younger and older construction workers and nurses to obtain insights into any potential risks to their mental health due to work health and safety issues. Methods We analyzed 1,505,638 tweets published on Twitter (subsequently rebranded as X) by younger and older (aged <45 vs >45 years) construction workers and nurses. The study period spanned 54 months, from January 2018 to June 2022, which equates to approximately 27 months before and 27 months after the World Health Organization declared COVID-19 a global pandemic on March 11, 2020. The tweets were analyzed using big data analytics and computational linguistic analyses. Results Text analyses revealed that nurses made greater use of hashtags and keywords (both monograms and bigrams) associated with burnout, health issues, and mental health compared to construction workers. The COVID-19 pandemic had a pronounced effect on nurses’ tweets, and this was especially noticeable in younger nurses. Tweets about health and well-being contained more first-person singular pronouns and affect words, and health-related tweets contained more affect words. Sentiment analyses revealed that, overall, nurses had a higher proportion of positive sentiment in their tweets than construction workers. However, this changed markedly during the COVID-19 pandemic. Since early 2020, sentiment switched, and negative sentiment dominated the tweets of nurses. No such crossover was observed in the tweets of construction workers. Conclusions The social media analysis revealed that younger nurses had language use patterns consistent with someone experiencing the ill effects of burnout and stress. Older construction workers had more negative sentiments than younger workers, who were more focused on communicating about social and recreational activities rather than work matters. More broadly, these findings demonstrate the utility of large data sets enabled by social media to understand the well-being of target populations, especially during times of rapid societal change.

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“…Other scholars have used social media analyses to examine changes in emotion and sentiment as societies across the globe grappled with and responded to the COVID-19 pandemic. For instance, using data retrieved from Twitter, several textual and sentiment analyses have been conducted to explore health care providers’ emotional reactions during the global disaster, with studies finding that, in general, levels of positive emotions (eg, joy) have decreased over time, whereas levels of negative emotions (eg, sadness and disgust) have increased [ 22 , 23 ]. However, specific to the emotional experiences of expecting and new fathers, a few qualitative studies have reported that fathers experienced high levels of stress related to both the transition to parenthood and the transition to a postpandemic society [ 2 , 24 ].…”

Section: Discussionmentioning

confidence: 99%

Web-Based Conversations Regarding Fathers Before and During the COVID-19 Pandemic: Qualitative Content Analysis

Bouchacourt

Henson-Garcia

Sussman

et al. 2023

JMIR Pediatr Parent

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Background Studies of new and expecting parents largely focus on the mother, leaving a gap in knowledge about fathers. Objective This study aimed to understand web-based conversations regarding new and expecting fathers on social media and to explore whether the COVID-19 pandemic has changed the web-based conversation. Methods A social media analysis was conducted. Brandwatch (Cision) captured social posts related to new and expecting fathers between February 1, 2019, and February 12, 2021. Overall, 2 periods were studied: 1 year before and 1 year during the pandemic. SAS Text Miner analyzed the data and produced 47% (9/19) of the topics in the first period and 53% (10/19) of the topics in the second period. The 19 topics were organized into 6 broad themes. Results Overall, 26% (5/19) of the topics obtained during each period were the same, showing consistency in conversation. In total, 6 broad themes were created: fatherhood thoughts, fatherhood celebrations, advice seeking, fatherhood announcements, external parties targeting fathers, and miscellaneous. Conclusions Fathers use social media to make announcements, celebrate fatherhood, seek advice, and interact with other fathers. Others used social media to advertise baby products and promote baby-related resources for fathers. Overall, the arrival of the COVID-19 pandemic appeared to have little impact on the excitement and resiliency of new fathers as they transition to parenthood. Altogether, these findings provide insight and guidance on the ways in which public health professionals can rapidly gather information about special populations—such as new and expecting fathers via the web—to monitor their beliefs, attitudes, emotional reactions, and unique lived experiences in context (ie, throughout a global pandemic).

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Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during COVID-19: Twitter Text Analysis

Cited by 8 publications

References 58 publications

Insights on the Future of Digital Health: An Analysis of Twitter Posts of IMIA Fellows

Insights on the Future of Digital Health: An Analysis of Twitter Posts of IMIA Fellows

Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data

Web-Based Conversations Regarding Fathers Before and During the COVID-19 Pandemic: Qualitative Content Analysis

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