| Literature DB >> 33918586 |
Kathy McKay1,2, Sarah Wayland3, David Ferguson4, Jane Petty2, Eilis Kennedy2,5.
Abstract
In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March-4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of 'clap for carers'; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.Entities:
Keywords: COVID-19; NHS; content analysis; moral injury; twitter
Year: 2021 PMID: 33918586 PMCID: PMC8069751 DOI: 10.3390/ijerph18083943
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Tweets per week by hashtag.
| Week Starting | BOOBORIS | BOOFORBORIS | CLAPFOROURCARERS | CLAPFOROURNHS | NHS COIVD19UK | NHS COVID_19 | NHS COVID19 | NHS COVID19IRELAND | NHS PPE |
|---|---|---|---|---|---|---|---|---|---|
| 30-March | 9 | 148 | 13,355 | 5094 | 2 | ||||
| 6-April | 7 | 211 | 7235 | 443 | 7257 | 3 | |||
| 13-April | 3 | 47 | 12,457 | 296 | 2013 | 7222 | 6 | ||
| 20-April | 1 | 24 | 9027 | 601 | 1020 | 4761 | 2 | ||
| 27-April | 7 | 23 | 1144 | 1089 | 632 | 636 | 4929 | 4 | |
| 4-May | 25 | 37 | 4671 | 395 | 486 | 3565 | 1 | ||
| 11-May | 3 | 34 | 3417 | 458 | 267 | 2714 | 2 | ||
| 18-May | 51 | 3621 | 2753 | 424 | 668 | 1766 | 177 | ||
| 25-May | 95 | 5576 | 2302 | 289 | 222 | 1546 | 374 | ||
| 1-June | 4 | 135 | 446 | 179 | 135 | 1357 | 325 | ||
| 8-June | 1 | 49 | 140 | 123 | 88 | 1155 | 2 | 224 | |
| 15-June | 1 | 14 | 62 | 199 | 160 | 1127 | 215 | ||
| 22-June | 11 | 122 | 164 | 99 | 1060 | 154 | |||
| 29-June | 4 | 18 | 49 | 36 | 341 | 34 | |||
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