Project description:One of the most cost-effective strategies for fighting the spread of COVID-19 is the use of facial masks. Despite health officials' strong efforts to communicate the importance or wearing a mask, compliance has been low in many countries. In the present paper we propose a novel behavior-intervention strategy to encourage people to wear facial masks. Three studies show that the personalization of a mask, as a form of identity expression, increases mask wearing intentions and, by extension, the percentage of individuals who wear facial masks. Given that mask wearing remains a necessity after deployment of the first vaccines, novel approaches to encouraging mask wearing are essential. Linking facial mask wearing to an individual's identity is a promising strategy.
Project description:BackgroundGuidelines and recommendations from public health authorities related to face masks have been essential in containing the COVID-19 pandemic. We assessed the prevalence and correlates of mask usage during the pandemic.MethodsWe examined a total of 13,723,810 responses to a daily cross-sectional online survey in 38 countries of people who completed from April 23, 2020 to October 31, 2020 and reported having been in public at least once during the last 7 days. The outcome was individual face mask usage in public settings, and the predictors were country fixed effects, country-level mask policy stringency, calendar time, individual sociodemographic factors, and health prevention behaviors. Associations were modeled using survey-weighted multivariable logistic regression.ResultsMask-wearing varied over time and across the 38 countries. While some countries consistently showed high prevalence throughout, in other countries mask usage increased gradually, and a few other countries remained at low prevalence. Controlling for time and country fixed effects, sociodemographic factors (older age, female gender, education, urbanicity) and stricter mask-related policies were significantly associated with higher mask usage in public settings. Crucially, social behaviors considered risky in the context of the pandemic (going out to large events, restaurants, shopping centers, and socializing outside of the household) were associated with lower mask use.ConclusionThe decision to wear a face mask in public settings is significantly associated with sociodemographic factors, risky social behaviors, and mask policies. This has important implications for health prevention policies and messaging, including the potential need for more targeted policy and messaging design.
Project description:Understanding the motivations and barriers populations face in respiratory protection during a pandemic is key to effective primary prevention. The goal of this study was to identify the impact of various motivational factors on individual choice of masks or respirators during the COVID-19 pandemic. The survey study included a sample of 619 participants between the ages of 18 to 75 years old and English speaking, who were asked about factors that affected their choice of masks or respirators between the months of April 2020 and May 2021. Participants showed a positive association between choice of respirator and being male, perceived comfort and trust in respirators, importance of personalization, and trust in information from family or friends. In addition, positive associations were found between income, education, and the amount of trust in CDC, WHO, and local/state health departments. Results indicate the need for increased education on attributes of each mask or respirator, review of respirator fit, research into specific areas of discomfort, and outreach efforts to vulnerable populations.
Project description:BackgroundMental health care pivoted to telemedicine during the COVID-19 pandemic, and there is uncertainty around the sustainability of this rapid shift.ObjectiveThis study examined how intentions to continue using telemedicine after the COVID-19 pandemic are influenced by provider perceptions of usefulness, ease of use, and professional social influence, facilitating organizational conditions.MethodsWe conducted a web-based, cross-sectional survey of 369 telemental health providers between February and March 2021. A hierarchical linear regression analysis was conducted to predict intentions to continue using telemedicine after the COVID-19 pandemic.ResultsMost providers began using telemedicine in March 2020 or later (257/369, 69.6%) and attended to ≥50% of their clients via telemedicine (299/369, 81.0%). Intention to continue using telemedicine after the COVID-19 pandemic was predicted by the telemedicine caseload (β=.10; P=.005), perceived usefulness in general (β=.10; P=.008), ease of use (β=.08; P=.04), social influence (β=.68; P<.001), and facilitating conditions (β=.08; P=.047).ConclusionsExploration of the predictors of telemedicine usage beyond the COVID-19 pandemic aids in surveillance of telemedicine usage, integration with future clinic workflows, and the shaping of public policy. It is important to consider telemedicine services as not only a response to a crisis but also an effective and useful solution for everyday life. Our results suggest widespread, sustainable telemedicine adoption.
Project description:The 2019 novel coronavirus (COVID-19) pandemic is associated with increases in psychiatric morbidity, including depression. It is unclear if people with depressive symptoms understand or apply COVID-19 information differently to the general population. Therefore, this study aimed to examine associations between depression, health beliefs, and face mask use during the COVID-19 pandemic among the general population in Hong Kong. This study gathered data from 11,072 Hong Kong adults via an online survey. Respondents self-reported their demographic characteristics, depressive symptoms (PHQ-9), face mask use, and health beliefs about COVID-19. Hierarchical logistic regression was used to identify independent variables associated with depression. The point-prevalence of probable depression was 46.5% (n = 5,150). Respondents reporting higher mask reuse (OR = 1.24, 95%CI 1.17-1.34), wearing masks for self-protection (OR = 1.03 95%CI 1.01-1.06), perceived high susceptibility (OR = 1.15, 95%CI 1.09-1.23), and high severity (OR = 1.33, 95%CI 1.28-1.37) were more likely to report depression. Depression was less likely in those with higher scores for cues to action (OR = 0.82, 95%CI 0.80-0.84), knowledge of COVID-19 (OR = 0.95, 95%CI 0.91-0.99), and self-efficacy to wear mask properly (OR = 0.90 95%CI 0.83-0.98). We identified a high point-prevalence of probable major depression and suicidal ideation during the COVID-19 outbreak in Hong Kong, but this should be viewed with caution due to the convenience sampling method employed. Future studies should recruit a representative probability sample in order to draw more reliable conclusions. The findings highlight that COVID-19 health information may be a protective factor of probable depression and suicidal ideation during the pandemic. Accurate and up-to-date health information should be disseminated to distressed and vulnerable subpopulations, perhaps using digital health technology, and social media platforms to prompt professional help-seeking behavior.
Project description:With the emerging post-COVID era, wearing face masks has become a domain of personal choice. Then, who wants to continue wearing a mask when it is no longer mandatory? In this article, we expect and examine the role of self-perceived facial attractiveness in predicting mask-wearing intention and its mechanism across three studies (total N = 1,030). Studies 1 and 2 demonstrated that individuals with high (vs. low) self-perceived attractiveness were less willing to wear a mask, due to a weaker endorsement of the belief that mask-wearing enhances their perceived attractiveness (i.e., mask attractiveness belief). Study 3 further revealed that this mediational association was stronger in situations where the need to deliver a favorable impression was high (job interview context) versus low (walking a dog context). Overall, we provide a novel finding that self-perceived attractiveness has significant effects on mask-wearing intention via mask attractiveness belief in the post-pandemic of COVID-19. Our findings suggest that mask-wearing can shift from being a self-protection measure during the COVID-19 pandemic to a self-presentation tactic in the post-pandemic era.
Project description:Societies are looking for ways to mitigate risk while stimulating economic recovery from COVID-19. Facial coverings (masks) reduce the risk of disease spread but there is limited understanding of public beliefs regarding mask usage in the U.S. where mask wearing is divisive and politicized. We find that 83% (±3%) of U.S. respondents in our nationally representative sample believed masks have a role in U.S. society related to the spread of COVID-19 in June 2020. However, 11-24% of these respondents reported not wearing a mask themselves in some public locations. Beliefs about mask wearing and usage vary by respondent demographics and level of agreement with a variety of societal value statements. Agreement with the statement gun ownership is a right based on the U.S. Constitution was negatively correlated with the belief masks had a role in society related to the spread of COVID-19. Agreement with the statements healthcare is a human right and I always wear my seat belt when driving were positively correlated with the belief masks had a role. Only 47% of respondents agreed that "Wearing a mask will help prevent future lock-downs in my community related to COVID-19." Public perception of the importance of mask usage revealed public transportation, grocery/food stores, and schools, as the relatively most important public places for mask usage among those seven places studied. Results suggest that public health advisories about riskiness of various situations or locations and public perception of importance of risk mitigation by location may not be well aligned.