Objective To summarize the current status of, and the current expert opinions, recommendation and evidence associated with the use and implementation of electronic health (eHealth), telemedicine, and/or telehealth to provide healthcare services for chronic disease patients during the COVID-19 pandemic. Materials and methods We searched four electronic databases (PubMed, Google Scholar, Science Direct, and Web of Science Core Collection) to identify relevant articles published between 2019 and 2020. Searches were restricted to English language articles only. Two independent reviewers screened the titles, abstracts, and keywords for relevance. The potential eligible articles, papers with no abstract, and those that fall into the uncertain category were read in full text independently. The reviewers met and discussed which articles to include in the final review and reached a consensus. Results We identified 51 articles of which 25 articles met the inclusion criteria. All included articles indicated the promising potential of eHealth, telehealth, and/or telemedicine solutions in delivering healthcare services to patients living with chronic diseases/conditions during the COVID-19 pandemic. We synthesized the main findings into ten usages and eight recommendations concerning the different activities for delivering healthcare services remotely for those living with chronic diseases/conditions in the era of COVID-19. Discussion and conclusions There is limited evidence available about the effectiveness of such solutions. Further research is required during this pandemic to improve the credibility of evidence on telemedicine, telehealth, and/or eHealth-related outcomes for those living with chronic diseases.
This exploratory study investigated the web accessibility of 54 official COVID-19 vaccine registration websites in the US and their concordance with the WCAG 2.0 and 2.1 guidelines. We employed AChecker, WAVE, and SortSite web accessibility evaluation tools to conduct automated analyses of these websites. The results showed suboptimal compliance with WCAG 2.0 and 2.1 guidelines, as determined using the AChecker, WAVE, and SortSite tools. These shortcomings in compliance may pose difficulties to users with disabilities as they access information on the websites. Based on our findings, we offered recommendations for states and other authorities to improve the accessibility of their websites to ensure that users with disabilities can independently schedule vaccination appointments.
Emojis are a growing phenomenon that have gained popularity in the digital era. However, little research exists on their use; a notable absent topic is the adoption of emojis in user experience questionnaires (UEQs). This study draws on semistructured interview data from 31 participants to understand how emojis affect the experience of filling out UEQs. The data analysis reveals two key categories regarding participants' experiences: advantages and challenges. This research contributes to the existing literature by presenting a detailed exploratory case study of user reactions to emojis in the context of UEQs.
The present study aims to explore participants’ experiences in interacting with a facial emoji Likert scale in online surveys to understand their perceptions, interpretations, and opinions of emojis in online surveys. A qualitative research approach has been adopted. This article contributes to the existing body of knowledge on emojis and online survey questionnaires by presenting a detailed exploratory qualitative study of 42 participants’ insights, perceptions, and interpretations of the facial emoji Likert scale in a specific context (i.e., a course evaluation survey). The data analysis reveals seven categories that emerged from the transcribed interviews and the interviewers’ written notes from the cognitive interviews regarding participants’ perceptions of interacting with the facial emoji–based Likert scale.
Despite the availability of online educational resources about human papillomavirus (HPV), many women around the world may be prevented from obtaining the necessary knowledge about HPV. One way to mitigate the lack of HPV knowledge is the use of auto-generated text summarization tools. This study compares the level of HPV knowledge between women who read an auto-generated summary of HPV made using the BERT deep learning model and women who read a long-form text of HPV. We randomly assigned 386 women to two conditions: half read an auto-generated summary text about HPV (n = 193) and half read an original text about HPV (n = 193). We administrated measures of HPV knowledge that consisted of 29 questions. As a result, women who read the original text were more likely to correctly answer two questions on the general HPV knowledge subscale than women who read the summarized text. For the HPV testing knowledge subscale, there was a statistically significant difference in favor of women who read the original text for only one question. The final subscale, HPV vaccination knowledge questions, did not significantly differ across groups. Using BERT for text summarization has shown promising effectiveness in increasing women’s knowledge and awareness about HPV while saving their time.
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