RESUMEN
BACKGROUND: Given the risk of infection through face-touching behaviors, investigators have called for more research into the development of interventions to reduce the frequency of face-touching. The current study aims to test the effectiveness of messages on reducing face-touching behaviors. METHODS: Nine different messages that highlighted the risk of face-touching were developed. Study 1, an online survey-experiment with a national sample of US adults (N = 998), examined message-, risk perceptions, and face-touching-related behavioral intentions. The most promising messages identified in study 1 were then tested in study 2, a follow-up behavioral observation study with a class of undergraduate students. Students' face-touching behaviors were observed during a 4-week period when intervention versus control messages were displayed in the classroom. RESULTS: Four messages performed better in study 1, 2 of which were selected to test the actual message effectiveness in study 2. Study 2 results showed that on average, students touched their faces less frequently when a "Don't touch your face" message was present, although such decrease was not statistically significant. CONCLUSIONS: Having reminder messages of "Don't touch your face" in public spaces hold the potential to be a low-cost, effective strategy to reduce face-touching behaviors.
RESUMEN
Objective: The telemedicine industry has rapidly grown during the COVID-19 pandemic, and telemedicine has become a common form of care. The present study looks at the online conversation regarding telemedicine at the beginning of the pandemic and one year later. The Technology Acceptance Model is utilized to explain the findings. Methods: Brandwatch and NUVI software captured social mentions on Twitter regarding telemedicine during the beginning of the pandemic (March 15, 2020-April 20, 2020) and one year later (March 12, 2021-April 19, 2021). SAS text-mining software analyzed the social mentions and organized them into ten unique topics for each time period. The research team analyzed the topics and organized them into themes. A network analysis was also performed to examine structure and influence within the network. Results: In March-April 2020, the themes focused on the use of telehealth in general, telehealth for mental health applications, and Medicare covering telehealth services. In March-April 2021, the themes focused on news events regarding telehealth and the rise in prominence of telehealth services. The network analysis shows a shift in the distribution of telehealth information among influential accounts and reveals that the network became more connected, with a change in the control of information spread. Conclusions: Technology Acceptance Model explains the social acceptance and spread of telemedicine. The transition in the conversation about telemedicine suggests a pattern of greater system use consistent with the Technology Acceptance Model. Telemedicine may have greatly increased in use because of the pandemic, but data suggests that its use may persist after the pandemic subsides.
RESUMEN
This study investigates psychosocial factors that influence people's face-touching mitigation behaviors. A nationwide survey was conducted online, and the results showed that perceived risk severity of touching face, and barriers and self-efficacy of not touching face were stable predictors. COVID-19 was related to a higher likelihood of mitigation behavior in public spaces. This study provides important implications to health communication and promotion for COVID-19 and general infection control.