scholarly journals Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages

2017 ◽  
Vol 3 (1) ◽  
pp. e14 ◽  
Author(s):  
Aisling Gough ◽  
Ruth F Hunter ◽  
Oluwaseun Ajao ◽  
Anna Jurek ◽  
Gary McKeown ◽  
...  
10.2196/21582 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e21582
Author(s):  
Ruth Plackett ◽  
Aradhna Kaushal ◽  
Angelos P Kassianos ◽  
Aaron Cross ◽  
Douglas Lewins ◽  
...  

Background Social media is commonly used in public health interventions to promote cancer screening and early diagnosis, as it can rapidly deliver targeted public health messages to large numbers of people. However, there is currently little understanding of the breadth of social media interventions and evaluations, whether they are effective, and how they might improve outcomes. Objective This scoping review aimed to map the evidence for social media interventions to improve cancer screening and early diagnosis, including their impact on behavior change and how they facilitate behavior change. Methods Five databases and the grey literature were searched to identify qualitative and quantitative evaluations of social media interventions targeting cancer screening and early diagnosis. Two reviewers independently reviewed each abstract. Data extraction was carried out by one author and verified by a second author. Data on engagement was extracted using an adapted version of the key performance indicators and metrics related to social media use in health promotion. Insights, exposure, reach, and differing levels of engagement, including behavior change, were measured. The behavior change technique taxonomy was used to identify how interventions facilitated behavior change. Results Of the 23 publications and reports included, the majority (16/23, 70%) evaluated national cancer awareness campaigns (eg, breast cancer awareness month). Most interventions delivered information via Twitter (13/23, 57%), targeted breast cancer (12/23, 52%), and measured exposure, reach, and low- to medium-level user engagement, such as number of likes (9/23, 39%). There were fewer articles about colorectal and lung cancer than about breast and prostate cancer campaigns. One study found that interventions had less reach and engagement from ethnic minority groups. A small number of articles (5/23, 22%) suggested that some types of social media interventions might improve high-level engagement, such as intended and actual uptake of screening. Behavior change techniques, such as providing social support and emphasizing the consequences of cancer, were used to engage users. Many national campaigns delivered fundraising messages rather than actionable health messages. Conclusions The limited evidence suggests that social media interventions may improve cancer screening and early diagnosis. Use of evaluation frameworks for social media interventions could help researchers plan more robust evaluations that measure behavior change. We need a greater understanding of who engages with these interventions to know whether social media can be used to reduce some health inequalities in cancer screening and early diagnosis. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2019-033592


Author(s):  
Ryan M Mangan ◽  
Gerard T Flaherty

Abstract The authors assert that social media influencer tourism should be recognised as a novel entity in travel medicine, in order to protect this vulnerable group of travellers from harm to themselves and their host destinations, and to harness their potential as communicators of positive public health messages.


Author(s):  
Olutobi Akingbade

This study contributes to transdisciplinary understanding of the COVID-19 pandemic through an examination of perceptions of public health messages as consumed primarily through social media by a purposively enlisted set of young adult Nigerians. The research used focus group discussions and in-depth interviews to elicit the views of 11 young adults, aged 21 to 24, resident in Ajegunle, a low-income community in Lagos, Nigeria’s commercial capital. The study identifies the centrality of social media platforms to the respondents’ processes of meaning-making, and draws on Hall’s (1980) encoding/decoding model in order to bring to the fore their oppositional interpretations of public health messages. The study also identifies respondents’ varying levels of disbelief about the realities of COVID-19, their mistrust of the government officials conveying and enforcing decisions to combat the pandemic, and the propensity for the social media messages they consume and propagate to serve as channels of misinformation.


10.2196/28131 ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e28131
Author(s):  
Katja Reuter ◽  
Melissa L Wilson ◽  
Meghan Moran ◽  
NamQuyen Le ◽  
Praveen Angyan ◽  
...  


2020 ◽  
Author(s):  
Ruth Plackett ◽  
Aradhna Kaushal ◽  
Angelos P Kassianos ◽  
Aaron Cross ◽  
Douglas Lewins ◽  
...  

BACKGROUND Social media is commonly used in public health interventions to promote cancer screening and early diagnosis, as it can rapidly deliver targeted public health messages to large numbers of people. However, there is currently little understanding of the breadth of social media interventions and evaluations, whether they are effective, and how they might improve outcomes. OBJECTIVE This scoping review aimed to map the evidence for social media interventions to improve cancer screening and early diagnosis, including their impact on behavior change and how they facilitate behavior change. METHODS Five databases and the grey literature were searched to identify qualitative and quantitative evaluations of social media interventions targeting cancer screening and early diagnosis. Two reviewers independently reviewed each abstract. Data extraction was carried out by one author and verified by a second author. Data on engagement was extracted using an adapted version of the key performance indicators and metrics related to social media use in health promotion. Insights, exposure, reach, and differing levels of engagement, including behavior change, were measured. The behavior change technique taxonomy was used to identify how interventions facilitated behavior change. RESULTS Of the 23 publications and reports included, the majority (16/23, 70%) evaluated national cancer awareness campaigns (eg, breast cancer awareness month). Most interventions delivered information via Twitter (13/23, 57%), targeted breast cancer (12/23, 52%), and measured exposure, reach, and low- to medium-level user engagement, such as number of likes (9/23, 39%). There were fewer articles about colorectal and lung cancer than about breast and prostate cancer campaigns. One study found that interventions had less reach and engagement from ethnic minority groups. A small number of articles (5/23, 22%) suggested that some types of social media interventions might improve high-level engagement, such as intended and actual uptake of screening. Behavior change techniques, such as providing social support and emphasizing the consequences of cancer, were used to engage users. Many national campaigns delivered fundraising messages rather than actionable health messages. CONCLUSIONS The limited evidence suggests that social media interventions may improve cancer screening and early diagnosis. Use of evaluation frameworks for social media interventions could help researchers plan more robust evaluations that measure behavior change. We need a greater understanding of who engages with these interventions to know whether social media can be used to reduce some health inequalities in cancer screening and early diagnosis. INTERNATIONAL REGISTERED REPORT RR2-10.1136/bmjopen-2019-033592


2020 ◽  
pp. 175791392093591 ◽  
Author(s):  
M Parackal ◽  
S Parackal ◽  
D Mather ◽  
S Eusebius

Aims: Social media, because of its broad coverage, is an attractive option for communicating public health messages. However, the lack of a theoretical framework, supporting the two-way communication of social media, is holding back its development and use. This study investigated the suitability of a dynamic transactional model (DTM) of communication for explaining the use of social media for communicating public health messages. Methods: The study was carried out on ‘Don’t know? Don’t drink’, a Facebook campaign against drinking alcohol during pregnancy that targeted women of childbearing age in New Zealand. The comments generated were analysed for two features of DTM, namely inter- and intra-transaction, by examining the plurality of topics and polarity of sentiments, using text-mining techniques. Results: The analysis of the textual data revealed nine independent topics, confirming the plurality of topics. The conversation contained both positive and negative terms, establishing the polarity of sentiment. Conclusions: This study verified the two DTM features (inter- and intra-transaction) in the comments produced by the ‘Don’t know? Don’t drink’ campaign implemented on Facebook. DTM exhibited the potential to be a theoretical framework for recommending and evaluating social media sites like Facebook for communicating public health messages.


Author(s):  
Paola Pascual-Ferrá ◽  
Neil Alperstein ◽  
Daniel J. Barnett

ABSTRACT Objectives: The purpose of this study was to demonstrate the use of social network analysis to understand public discourse on Twitter around the novel coronavirus disease 2019 (COVID-19) pandemic. We examined different network properties that might affect the successful dissemination by and adoption of public health messages from public health officials and health agencies. Methods: We focused on conversations on Twitter during 3 key communication events from late January to early June of 2020. We used Netlytic, a Web-based software that collects publicly available data from social media sites such as Twitter. Results: We found that the network of conversations around COVID-19 is highly decentralized, fragmented, and loosely connected; these characteristics can hinder the successful dissemination of public health messages in a network. Competing conversations and misinformation can hamper risk communication efforts in a way that imperil public health. Conclusions: Looking at basic metrics might create a misleading picture of the effectiveness of risk communication efforts on social media if not analyzed within the context of the larger network. Social network analysis of conversations on social media should be an integral part of how public health officials and agencies plan, monitor, and evaluate risk communication efforts.


2020 ◽  
Author(s):  
Farid Anvari

A preprint was recently published called, “The effectiveness of moral mes-sages on public health behavioral intentions during the COVID-19 pandemic” (Everett et al., 2020). The preprint presents a study purportedly showing that COVID-19 public health messages framed as deontological had a modest effect effect for increasing people's behavioural intentions for sharing the message on social media. In my review of the preprint, I find that if there were corrections for multiple comparisons then the results testing the preregistered hypotheses would become statistically nonsignificant. I discuss these and other issues in detail.


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