ArticleHealth expectations : an international journal of public participation in health care and health policy2022
An outbreak of appreciation: A discursive analysis of tweets of gratitude expressed to the National Health Service at the outset of the COVID-19 pandemic.
Article in Health expectations : an international journal of public participation in health care and health policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- From applause to disappointment - appreciation among healthcare providers that provided end-of-life care during the COVID-19 pandemic and its impact on well-being - a longitudinal mixed methods study (the CO-LIVE study).BMC health services research · 2024Article
- The influence of waiting times and sociopolitical variables on public trust in healthcare: A cross-sectional study of the NHS in England.Public health in practice (Oxford, England) · 2024Article
- Public Officials' Engagement on Social Media During the Rollout of the COVID-19 Vaccine: Content Analysis of Tweets.JMIR infodemiology · 2023Article
- Health service improvement using positive patient feedback: Systematic scoping review.PloS one · 2023Article
- A content analysis on the perceptions of LGBTQ+ (centred) health care on Twitter.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- An outbreak of appreciation: A discursive analysis of tweets of gratitude expressed to the National Health Service at the outset of the COVID-19 pandemic.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Article
- Evaluating a Psychological First Aid Training Intervention (Preparing Me) to Support the Mental Health and Wellbeing of Chinese Healthcare Workers During Healthcare Emergencies: Protocol for a Randomized Controlled Feasibility Trial.Frontiers in psychiatry · 2021Article
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4 authors.
Funding
Abstract
backgroundThe early stages of the coronavirus disease 2019 pandemic prompted unprecedented displays of gratitude to healthcare workers. In the United Kingdom, gratitude was a hotly debated topic in public discourse, catalysing compelling displays of civic togetherness but also attracting criticism for being an unhelpful distraction that authorized unrealistic expectations of healthcare workers. Expressions of thanks tend to be neglected as drivers of transformation, and yet, they are important indicators of qualities to which people attach significance.
objectiveThis study aimed to use discursive analysis to explore how the National Health Service (NHS) was constructed in attention-attracting tweets that expressed and/or discussed gratitude to the NHS.
methodsHaving determined that Twitter was the most active site for traffic relating to gratitude and the NHS, we established a corpus of 834 most-liked tweets, purposively sampled from Twitter searches on a day-by-day basis over the period of the first lockdown in the United Kingdom (22 March-28 May 2020). We developed a typology for tweets engaging with gratitude as well as analysing what the NHS was thanked for.
resultsOur analysis, informed by a discursive psychology approach, found that the meanings attributed to gratitude were highly mobile and there were distinct patterns of activity. The NHS was predominantly-and sometimes idealistically-thanked for working, effort, saving and caring. Displays of gratitude were seen as incommensurable with failures of responsibility. The clap-for-carers campaign was a potent driver of affect, especially in the early parts of the lockdown.
conclusionsThe social value of gratitude is implicated in the re-evaluation of the risks and rewards of healthcare and social care work in the wake of the pandemic. We caution against cynicism about gratitude overshadowing the well-being effects that expressing and receiving gratitude can engender, particularly given concerns over the detrimental effects of the pandemic on mental health. PUBLIC CONTRIBUTION: This study involves the analysis of data provided by the public and published on social media.
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