Identifying factors influencing COVID-19 vaccine uptake in Finland - a qualitative study using social media data
IntroductionVaccine demand creation requires understanding what is driving the uptake of the vaccine. 24 Qualitative research methods are paramount to gaining a localized understanding of behavioral 25 drivers and barriers to vaccine uptake, but they are often underutilized.MethodsThis is a qualitat...
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Frontiers Media S.A.,
2023-06-01T00:00:00Z.
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| 001 | doaj_cdf8cc136b154aa7b6fdffd103687c0e | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Anna-Leena Lohiniva |e author |
| 700 | 1 | 0 | |a Annika Pensola |e author |
| 700 | 1 | 0 | |a Suvi Hyökki |e author |
| 700 | 1 | 0 | |a Jonas Sivelä |e author |
| 700 | 1 | 0 | |a Vuokko Härmä |e author |
| 700 | 1 | 0 | |a Tuukka Tammi |e author |
| 245 | 0 | 0 | |a Identifying factors influencing COVID-19 vaccine uptake in Finland - a qualitative study using social media data |
| 260 | |b Frontiers Media S.A., |c 2023-06-01T00:00:00Z. | ||
| 500 | |a 2296-2565 | ||
| 500 | |a 10.3389/fpubh.2023.1138800 | ||
| 520 | |a IntroductionVaccine demand creation requires understanding what is driving the uptake of the vaccine. 24 Qualitative research methods are paramount to gaining a localized understanding of behavioral 25 drivers and barriers to vaccine uptake, but they are often underutilized.MethodsThis is a qualitative study that 26 used public comments on the Facebook and Twitter posts of the Finnish Institute for Health and 27 Welfare (THL) as data sources to identify behavioral drivers for COVID-19 vaccine uptake in 28 Finland. The participatory data analysis utilized thematic analysis and the Theoretical Domains 29 Framework (TDF). NVIVO was used to assist in the coding process.ResultsThe greatest number of FB and 30 Twitter comments were linked with six TDF domains: knowledge, environmental context and 31 resources, beliefs in consequences, beliefs in capabilities, social and professional role, and social 32 influences. The domains included 15 themes that were interlinked. The knowledge domain 33 overlapped with all other domains.DiscussionBy using public discourse on Facebook and Twitter, and rapid 34 qualitative data analysis methods within a behavioral insight framework, this study adds to the 35 emerging knowledge about behavioral drivers of COVID-19 vaccines that can be used by public 36 health experts to enhance the uptake of vaccines during future pandemics and epidemics. | ||
| 546 | |a EN | ||
| 690 | |a COVID-19 vaccine | ||
| 690 | |a vaccine hesitancy | ||
| 690 | |a vaccine demand creation | ||
| 690 | |a behavioral insights | ||
| 690 | |a qualitative research | ||
| 690 | |a social media 2 | ||
| 690 | |a Public aspects of medicine | ||
| 690 | |a RA1-1270 | ||
| 655 | 7 | |a article |2 local | |
| 786 | 0 | |n Frontiers in Public Health, Vol 11 (2023) | |
| 787 | 0 | |n https://www.frontiersin.org/articles/10.3389/fpubh.2023.1138800/full | |
| 787 | 0 | |n https://doaj.org/toc/2296-2565 | |
| 856 | 4 | 1 | |u https://doaj.org/article/cdf8cc136b154aa7b6fdffd103687c0e |z Connect to this object online. |