"Ask a Doctor About Coronavirus": How Physicians on Social Media Can Provide Valid Health Information During a Pandemic

E-health literacy and associated factors among Korean adults during the COVID-19 pandemic: age-group differences

The purpose of this study was to compare the mean scores of e-health literacy, health information, social relationships, and psychological status between younger, middle-aged, and older Korean adults during the COVID-19 pandemic and to identify the factors associated with e-health literacy as well as the moderating effect of age on the association between health information factors and e-health literacy. We used a cross-sectional survey of 2400 Korean adults aged 20 years or older residing in Seoul. Descriptive statistics, ANOVA, chi-square test, and hierarchical multiple regression analyses were used to analyze the data. Findings demonstrated an age-group difference in the mean score of e-health literacy with the older group having lower e-health literacy than the other groups. Health information, social support, and COVID-19-related anxiety were associated with e-health literacy and a moderating effect of age on the association between sources of health information and e-health literacy was also identified among the three age subgroups. This study emphasizes the importance of identifying e-health-related risk factors leading to health disparities between age groups.

Physician Trust in the News Media and Attitudes toward COVID-19

CONTEXT

Previous research has established the importance of primary care physicians in communicating public health directives. The implicit assumption is that, because of their expertise, doctors provide accurate and up-to-date information to their patients independent of partisan affiliation or media trust.

METHODS

The authors conducted an online survey of 625 primary care physicians and used the results to test (1) whether physician trust in media outlets is consistent with their political partisanship, and (2) whether trust in media outlets influences (a) personal concern that someone in their family will get sick, (b) perceptions about the seriousness of the pandemic as portrayed in the media, and (c) trust in federal government agencies and scientists.

FINDINGS

Physicians are better positioned to critically evaluate health-related news, but they are subject to the same biases that influence public opinion. Physicians' partisan commitments influence media trust, and media trust influences concern that a family member will get sick, perceptions regarding the seriousness of the pandemic, and trust in federal government agencies and scientists.

CONCLUSIONS

Physician trust in specific media outlets shapes their understanding of the pandemic, and-to the extent that they trust conservative media outlets-it may limit their effectiveness as health policy messengers.

A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation

OBJECTIVE

We provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread.

MATERIALS AND METHODS

We applied our search protocol to PubMed, PsychINFO, and Web of Science to screen 1666 articles. The 17 articles included in this paper are experimental and interventional studies that developed and tested public consumer-facing DHIs. We examined these DHIs to understand digital features, incorporation of theory, the role of healthcare professionals, end-user experience, and implementation issues.

RESULTS

The majority of studies (n = 11) used social media in DHIs, but there was a lack of platform-agnostic generalizability. Only half of the studies (n = 9) specified a theory, framework, or model to guide DHIs. Nine studies involve healthcare professionals as design or implementation contributors. Only one DHI was evaluated for user perceptions and acceptance.

DISCUSSION

The translation of advances in online social computing to interventions is sparse. The limited application of behavioral theory and cognitive models of reasoning has resulted in suboptimal targeting of psychosocial variables and individual factors that may drive resistance to misinformation. This affects large-scale implementation and community outreach efforts. DHIs optimized through community-engaged participatory methods that enable understanding of unique needs of vulnerable communities are urgently needed.

CONCLUSIONS

We recommend community engagement and theory-guided engineering of equitable DHIs. It is important to consider the problem of misinformation and disinformation through a multilevel lens that illuminates personal, clinical, cultural, and social pathways to mitigate the negative consequences of misinformation and disinformation on human health and wellness.

Insights Into the Relationships Between Health Communication and Doctor-patient Relationship: A Scientometric Analysis Based on CiteSpace and Validation of Questionnaires

In order to understand the research status of the relationship between health communication and doctor-patient relationship, and to explore a new path of the impact of health communication on doctor-patient relationship, this paper adopted qualitative methods to quantize the literature over the past 10 years in the Web of Science database and carried out Co-Authorship Analysis, Co-Citation Analysis and Co-Occurrence Analysis based on CiteSpace. In addition, according to the results of bibliometric research, self-designed questionnaires were used to verify the result. A convenience sampling survey was conducted through the online "Questionnaire Star" platform (https://www.wjx.cn) on May 8, 2022, and a total of 254 questionnaires were collected. Interviewees were asked to use social software to acquire health knowledge. Participants come from 21 provinces, 4 municipalities, and 4 autonomous regions across the country, which is geographically representative. The results show that uncertainty of social media information and the particularity of the epidemic make the research on health communication and doctor-patient relationship in social media become a new hot spot. Social media health information quality (source credibility and content trust perception), information asymmetry perception, doctor-patient communication, doctor-patient consistency, doctor-patient trust, doctor-patient relationship may be the key variables for constructing theoretical models.

A Comprehensive Analysis of E-Health Literacy Research Focuses and Trends

Objective: To sort out the research focuses in the field of e-health literacy, analyze its research topics and development trends, and provide a reference for relevant research in this field in the future. Methods: The literature search yielded a total of 431 articles retrieved from the core dataset of Web of Science using the keywords “ehealth literacy”, “E-health literacy” and “electronic health literacy”. A bibliometric analysis was performed by using CiteSpace to explore the development history, hot themes, and trends of future research in the field of e-health literacy. Results: The thematic evolution path in e-health literacy was divided into three stages. The research focuses were inspected from four aspects: evaluation, correlation with health-promotion behaviors, influencing factors, and intervention measures for improvement. Conclusion: E-health literacy research faces challenges such as the development of the connotation of the term, the objectivity of evaluation methods, and the long-term impact of interventions. Future research themes in e-health literacy will include the standardization of evaluation instruments and the individualization of therapeutic strategies.

Knowledge, Anxiety, Depression, and Sleep Quality Among Medical Staff in Central South Areas of China During the Break of COVID-19: Does the Level of Hospitals Make a Difference?

Purpose: To evaluate the knowledge, anxiety, depression, and sleep quality toward COVID-19 among Chinese medical staff from tertiary and basic-level hospitals in central south areas of China. Method: A structured questionnaire was composed of Demographic and clinical characteristics of medical staff, Knowledge toward COVID-19 including epidemiology and clinical manifestations, The Self-rating anxiety scale (SAS), Center for Epidemiologic Studies Depression Scale (CES-D), and The Pittsburgh Sleep Quality Index (PSQI). It was administered to medical staff from tertiary hospitals (Group A) (n = 407) and basic-level hospitals (Group B) (n = 388) during February 2020 and May 2020. Results: Medical staff in group A had a stronger knowledge toward COVID-19 than group B (23.69 ± 5.83 & 18.15 ± 6.35, p < 0.001). Mild anxiety symptoms were found in both groups. The SAS scores (Mean ± SD) of group B were 58.87 ± 10.17, which was significantly higher than that of group A (52.59 ± 12.09, p < 0.001). There were no significant differences in CES-D scores between the two groups (p = 0.981). The mean score of total PSQI in group B (8.41 ± 3.03) was statistically higher than that of group A (7.31 ± 3.74, p < 0.001). Additionally, the scores of sub-components of group B, including subjective sleep quality, sleep latency, sleep disorder, sleeping medication use and daytime dysfunction, were significantly higher compared to Group A (p < 0.05). Conclusions: Our study showed greater anxiety, more severe depression and poorer sleep quality among medical staff in central south areas of China during the COVID-19 outbreak. Additionally, compared to the tertiary hospital group, medical staff from basic-level hospitals had poorer knowledge toward COVID-19 and worse mental health conditions. In addition, residence, specialty, title and education level may also be factors of knowledge of COVID-19 and psychiatry problems. In light of this information, more attention should be paid to early identification and intervention of symptoms of anxiety and depression in susceptible medical staff from the basic-level hospitals.