Negative Comments Research Articles

‘I’m not the same person now’: The psychological implications of online contact risk experiences for adults with intellectual disabilities

Understanding online risk for adults with intellectual disabilities is important to improve digital inclusion in society. Perceptions of online risk can determine behaviours that obstruct or facilitate Internet access and use. This current study aimed to qualitatively investigate the psychological implications of online victimisation risks, including online negative comments and/or messages for adults with intellectual disabilities, as a novel area yet explored in-depth. Semi-structured interview data was collected remotely. Template analysis found there to be both negative and positive psychological implications experienced in response to online risks. Specifically, participants reported a wide range of negative emotions but also positive growth in the form of learning from the experience and increased confidence. The attribution of blame process in cybervictimisation can involve both blaming the perpetrator but also internalised victim-blaming which may be a consequence of the type of online risk (i.e. sexual risks). Implications for both practice and research are suggested.

Twitter Sentiment Analysis Classification to Assess Public Opinion on Football Matches Using the Naïve Bayes Method

The Kanjuruhan tragedy has attracted many comments on various social media platforms. This research will compare the number of positive and negative comments on Twitter and social media and determine the accuracy of the classification method used. The data used in this study consisted of 2052 pieces, consisting of 1015 positive and 1037 negative pieces. To determine the effect of the amount of training data on the resulting accuracy, testing will be carried out three times with different combinations of training data and test data, namely 70:30, 80:20, and 90:10. The results of this study obtained the highest accuracy value of 79.6%. This program can be developed for other social media platforms such as Facebook, Instagram, and others

The need for human-centered design for AI robots in urban parks and forests

The beneficial effects of urban parks and forests on the well-being of city dwellers have gained widespread recognition. In recent years, artificial intelligence (AI) robots have been employed in urban parks for various purposes, such as 24-hour patrol, COVID-19 physical distancing, and assisting visitors. While these robots offer significant benefits, visitors may harbor a negative perception towards autonomous robots, which could potentially undermine the recreational experiences in urban parks and forests. To test such impacts of AI robots, this study examines public perceptions of AI robots in urban parks. An extensive dataset of 36,520 comments from YouTube videos showcasing these robots was collected and analyzed using sentiment analysis, binomial logistic regressions, and topic modeling. The findings revealed that negative comments were widespread, encompassing their fear of AI robots controlling and harming people. These findings underscore the importance of adopting a human-centered approach in the design and implementation of AI robots in urban parks.

Development of a second‐screen system for sharing virtual reality information

AbstractSince virtual reality technology can easily realize a particular environment, it has been applied to various training. This technology is also expected in education such as those dealing with three‐dimensional figures because they can represent phenomena in three dimensions. One of the standard virtual reality technologies is wearing a head‐mounted display to experience a virtual reality project. However, the virtual reality experience is limited to the person wearing the head‐mounted display (in most cases) when considering the use of head‐mounted display‐based virtual reality in education, making its usage unsuitable for mass education. Therefore, in this study, we develop a second‐screen system that can share virtual reality information using an Android device. Healthy first‐ and second‐year high school students between the ages of 15 and 17 were asked to use the virtual reality educational materials that implemented the developed system, and a questionnaire survey was conducted. There were no negative comments in the survey on whether proposing second‐screen system was necessary, demonstrating the usefulness of the proposed system. Therefore, the second‐screen system may adapt VR technology to mass education. In addition, we developed a package to integrate our second‐screen system into the pre‐existing virtual reality projects. This package simplifies the procedure for implementing a second‐screen system, thus helping to reuse the virtual reality projects that have been developed so far.

STRESS AND EMOTION MANAGEMENT AS THE KEY TO SUCCESS FOR MSME OWNERS

This research is motivated by the awareness of the importance of stress and emotion management in the success of small and medium-sized enterprises (SMEs). The aim of this study is to provide a better understanding of the significance of stress and emotion management for SME owners and to assist in implementing stress and emotion management techniques. The research conducted is qualitative research using the ABCD method. The subjects of this study are SME owners in Selogiri Village, Kebumen. Data collection techniques were carried out through interview observations. The results of this study indicate that stress management has a significant impact on SME practitioners in developing their products. Based on the data obtained, SME practitioners in Selogiri Village mentioned that stress arises from comments made by some consumers. Their approach to managing stress is to evaluate their products based on the comments given by consumers, so they believe that improving the quality of their products can silence consumers with negative comments. Stress management in this context means turning hate comments into product evaluation materials for SME practitioners.

A Conceptual Aquila Merged Arithmetic Optimization (AIAO) Integrated Auto-Encoder Based Long Short Term Memory (AUE-LSTM) For Sentiment Analysis

Sentiment analysis is a branch of analysis that uses disorganized written language to infer the opinions and emotions of people's critiques and attitudes toward entities and its features. In order to produce acceptable results, the majority of sentiment analysis models that employ supervised learning algorithms require a large amount of labeled information during the training stage. This is typically costly and results in significant labor expenses when used in practical applications. In this study, an intelligent and unique sentiment prediction system is developed for accurately classifying the positive, negative, and neutral comments from the social media dataset. Data preprocessing, which entails noise reduction, tokenization, standardization, normalization, stop word removal, and stemming, is done to ensure that the data is of a high enough quality for efficient sentiment prediction and analysis. The preprocessed data is then used to extract a mix of features, including hash tagging, Bag of Words (BoW), and Parts of Speech (PoS). Consequently, in order to choose the best features and speed up the classifier, a new hybrid optimization method called Aquila merged Arithmetic Optimization (AIAO) is used. Furthermore, an Auto-Encoder based Long Short Term Memory (AuE-LSTM), an innovative and clever ensemble learning technique, is used to precisely anticipate and classify user feelings based on the chosen data. This study uses a variety of open source social media datasets to evaluate the performance of the suggested AIAO integrated AuE-LSTM model.

Education Research: Perspectives and Experiences of Clinical Neurology Faculty Regarding the End-of-Rotation Assessment: A Qualitative Study.

End-of-rotation assessments (ERAs) completed by clinical faculty supervising medical students are an important component of medical student performance during clinical rotations. The quality and quantity of the formative and/or summative comments provided by faculty to students on ERAs vary. The goal of this study was to better understand the experiences, limitations, and barriers that may affect faculty at a single institution and its affiliated sites when completing this assessment. A qualitative study design was used, with phenomenology as the qualitative design of inquiry. Clinical faculty at 3 student rotation sites who worked with students and had filled out the electronic assessment form were asked to participate. A virtual platform was used to conduct semistructured interviews. Transcripts of the recorded interviews were reviewed and analyzed to identify emerging and recurrent themes. Eleven faculty members (8 men and 3 women) were interviewed. Most participants felt that the time spent with medical students was limited, compromising the assessment process-particularly at sites where they are assigned to inpatient service for 1 week at a time. Longer intervals between end-of-rotation and completing the assessment limited details in the narrative components. Some participants were hesitant to assign students lower scores and to write negative comments in their assessments. Although constructive comments could be provided verbally, they were not always stipulated as comments on the assessment form. Many were concerned that written comments could negatively affect a student's future career. The participants recognized the importance and benefit of writing comments specific to the individual student. Many opined that providing prewritten examples of suggested comments would result in a generic assessment. The experiences, limitations, and barriers that affected faculty members' ability to assess medical students at the end of the neurology rotation included limited time spent with students, a longer time taken to fill out the assessment form, and reluctance to write negative comments that could potentially affect a student's career. Specific comments about individual students were deemed important. Shorter and more frequent assessments, modifications to faculty schedules, faculty development initiatives, and adoption of a growth mindset are potential ways to overcome barriers faced by faculty.

Tik Tok Users' Opinions About Da’wah Religious ModerationIn Tik Tok Conversation

This research was conducted to describe the views of influential people in Tk Tok conversations around religious moderation. The ideas and subjects expressed by Mega influencers, Macro influencers, and Nano influencers are examined in this research using public opinion, the agenda-forming model, and the spiral of silence. This research methodology uses qualitative descriptive content analysis techniques. The keyword "religious moderation" in Vivo was used to search for research data. The majority of research findings are positive public perceptions of Tik Tok influencers. Five accounts on the nano-influencer account criticized religious moderation, while two accounts were neutral. The research results show that the majority of TikTok influencers' views on the subject of religious moderation are favorable. There are several influencer views including neutral, negative or positive opinions. Most of the public opinions from influencers on TikTok are positive. On the @basyasman00 account there are several negative comments, and 1 account has a neutral tone regarding religious moderation. The mass media agenda and the agenda of influencers on social media shape public opinion.

Examine How Stakeholders’ Participation in Project Identification Influence Project Performance, Case Study: Musanze District

The role of stakeholders in project work cannot be ignored. A review of the scientific literature reveals a strong relationship between the two. This study aims to reveal how stakeholder participation affects the performance of public services. Community participation is handled in three stages within the context of the project cycle; Analysis, planning and execution. This study is guided by the following research objectives; To examine how stakeholder participation in project analysis affects performance in Musanze District, to evaluate how stakeholder participation in project planning affects the work in Musanze District, and to find out which stakeholders are involved in the Project > Business-related studies in Musanze District. Researchers studied the Rwanda WASH project at MINIFRA. The project is a collaboration between the Government of Rwanda, the Government of the Netherlands and UNICEF Rwanda, but implemented in the Musanze region by MNIFRA. Interviewees included program representatives from the three donors, representatives of worker organizations, PICs, and beneficiary representatives. The first three categories of respondents were selected and convenience sampling was used to select the last category (beneficiaries). Surveys were used to collect data from the first three groups of participants. The total sample size used in the study was 43 people. The data was analyzed using a descriptive model using SPSS. While the majority of participants (80.5%) responded positively to the participation of beneficiaries in the WASH program, only 19.5 gave negative and negative comments. The majority of respondents think planning has an impact on productivity (31.7%), 19.5% think it has a very high impact, 9.8% think it has a moderate impact, 17.1% think it has a very low impact, and 22.0% think it has a very low impact. I think. little. Most participants responded that the impact of project success was very good (31.7%), 29.3% responded that it was high, 9.8% responded that it was average, 12.2% responded that it was very low, and 14.6% responded that it was very high. Low Researchers concluded that collaboration with stakeholders impacts projects at three stages of the business cycle. This study recommends that WASH develop procedures to ensure maximum participant participation in most roles during the task, especially thinking and planning, task management and performance. Future research should examine participant engagement on outcome measures other than those examined in the current study.

Bariatric surgery stigma from the perspective of patients: A scoping review.

To explore the experiences and consequences of bariatric surgery stigma from the perspective of bariatric surgery patients and to identify knowledge gaps in the literature. A scoping review. Studies published between December 2002 and January 2022 were identified from the following databases: PubMed, Web of Science, PsycINFO and MEDLINE. We screened 3092 records and included 28 studies. Findings were grouped thematically using the health stigma discrimination framework. Patients experienced several types of stigmas, including perceived, experienced, anticipated and internalized stigma, related to undergoing bariatric surgery. Patients were confronted with negative comments and judgement from others when they disclosed their decision to have surgery or when they revealed that they had undergone surgery. These experiences led to conflicts in the decision-making process, such as delaying the choice for surgery, seeking surgery abroad or opting out. Patients who internalized stigma often reported feelings of shame and embarrassment for choosing surgery and felt the need for secrecy or selective disclosure. Stigma experiences were influenced by gender and differed between different subgroups of patients. The stigma surrounding bariatric surgery has detrimental consequences for eligible individuals and bariatric surgery patients. However, the evidence from patients' perspective remains limited. More research into patient's experiences is needed to improve patient care and further educate healthcare professionals. In addition, to better understand the nature and implications of bariatric surgery stigma, future research should be founded on stigma theories and distinguish between the different types of stigmas. This scoping review contributes to a better understanding of the implications the stigma surrounding bariatric surgery has for bariatric surgery patients before and after surgery. The knowledge generated by this review can inform improvements in the education and management of people living with obesity and bariatric surgery patients. The scoping review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews checklist. No Patient or Public Contribution. A protocol was not registered for this scoping review.

Technology-enabled higher education academic writing feedback: Practices, needs and preferences

Student and teacher perceptions of feedback practices, preferences and awareness of feedback needs may differ and detract from learning. This article explores alignment or misalignment in higher education to argue alignment suggests needs are being met on these issues via technology-enabled feedback on writing. Within the context of academic training, we take a broad view of writing supervision along a continuum that comprises digital feedback on writing assessments at an Australian university. We used a survey comparison of teachers’ and students’ self-reported data to answer the following questions: (1) What digital feedback and assessment practices are reported by teachers and students in Australian higher education? (2) What e-feedback needs are self-declared through teachers’ and students’ self-awareness of assessment practices in that context? (3) What e-feedback preferences are reported by teachers and students? Students and teachers from different academic programmes and levels from social science self-reported their experiences of digital feedback on writing assessments. The quantitative and open-ended responses covered technology-enabled feedback experiences up to PhD supervision. The results on alignment and misalignment of participants’ needs and preferences suggest a need to increase dialogue and incorporate student agency into feedback processes. We discuss further implications for feedback experiences in this context. Implications for practice or policy Programme assessment designers might reconsider policies requiring online collaborative work since teachers and students prefer individual assignments. Assessors might improve digital assessment tools, to increase teacher and student interaction and expediency, without losing individual feedback, in line with unanimous claims that such tools support feedback processes on writing. Course leaders could implement practices buffering the effect of negative feedback because teachers perceive few complaints, but students react badly to negative comments through digital channels.

The impacts of political activity on fires and deforestation in the Brazilian Amazon rainforest: An analysis of social media and satellite data

Social media has become a one-stop shop for consuming news and expressing political views. Politics has become increasingly emotional, and the ensuing polarization has created echo chambers that favor narratives and stories that repeat only one point of view. In this article, we investigated the role of political activity through Twitter (now ‘X’) engagement as a predictor of destructive fires and deforestation in the Brazilian Legal Amazon (BLA). We used a machine learning approach based on sentiment analysis and satellite data. To test the consistency of the sentiment analysis, we compared the timing of messages related to fire and deforestation events with daily fire data from satellites. When comparing positive and negative comments about fires in the BLA, the results showed that the best model for predicting fire outbreaks is the decision tree regressor. We found evidence that positive comments about agriculture, industry, and the Amazon rainforest in response to speeches and statements by high-ranking Brazilian politicians tend to induce positive comments about fire outbreaks and deforestation. These comments then become good predictors of fire outbreaks with a 6-day lag. These results support the view that high-ranking politicians have enormous power to influence damaging events that can have severe impacts on communities, the environment, and the economy. Brazil has seen an unprecedented increase in deforestation and fires in the Amazon rainforest in recent years. Our findings contribute to the growing literature on the role of social media in real-world events and how machine learning approaches can be used to address this class of problems.

Sentiment Analysis of Student Comment on the College Performance Evaluation Questionnaire Using Naïve Bayes and IndoBERT

The development of the Internet has played a significant role in various aspects of life and has generated vast amounts of data, including student comments about universities. The challenge in analyzing comment data is the large number of students providing feedback, which makes manual analysis impractical. The purpose of this study is to analyze the performance evaluation of universities by students in terms of positive and negative sentiments, with the aim of assessing the level of student satisfaction with all elements and areas of university operations. This research utilized the Naïve Bayes algorithm and the IndoBERT model to build a classification model based on questionnaire data, starting from the data collection process, data preprocessing, feature extraction, modeling, and evaluation. The results of the IndoBERT model demonstrated the best performance, with an accuracy of 85%. The IndoBERT model effectively recognizes sentiments in text, distinguishing between positive and negative comments regarding university performance.

Mpox knowledge, behaviours and barriers to public health measures among gay, bisexual and other men who have sex with men in the UK: a qualitative study to inform public health guidance and messaging

BackgroundThe 2022-23 mpox epidemic is the first-time sustained community transmission had been reported in countries without epidemiological links to endemic areas. During that period, the outbreak almost exclusively affected sexual networks of gay, bisexual, or other men who have sex with men (GBMSM) and people living with HIV. In efforts to control transmission, multiple public health measures were implemented, including vaccination, contact tracing and isolation. This study examines knowledge, attitudes, and perceptions of mpox among a sample of GBMSM during the 2022-23 outbreak in the UK, including facilitators for and barriers to the uptake of public health measures.MethodsInterviews were conducted with 44 GBMSM between May and December 2022. Data were analysed using reflexive thematic analysis. Positive and negative comments pertaining to public health measures were collated in a modified version of a ‘table of changes’ to inform optimisations to public health messages and guidance.ResultsMost interviewees were well informed about mpox transmission mechanisms and were either willing to or currently adhering to public health measures, despite low perceptions of mpox severity. Measures that aligned with existing sexual health practices and norms were considered most acceptable. Connections to GBMSM networks and social media channels were found to increase exposure to sexual health information and norms influencing protective behaviours. Those excluded or marginalized from these networks found some measures challenging to perform or adhere to. Although social media was a key mode of information sharing, there were preferences for timely information from official sources to dispel exaggerated or misleading information.ConclusionsThere are differential needs, preferences, and experiences of GBMSM that limit the acceptability of some mitigation and prevention measures. Future public health interventions and campaigns should be co-designed in consultation with key groups and communities to ensure greater acceptability and credibility in different contexts and communities.

Obesity Bias and Stigma, Attitudes, and Beliefs Among Intern Doctors: a Cross-sectional Study from Türkiye.

The purpose of this study was to determine intern physicians' attitudes and beliefs toward obesity and individuals with obesity and the frequency at which they encounter discriminatory language in their work environments. This cross-sectional study was performed with intern physicians at the Ondokuz Mayıs University Medical Faculty in Samsun, Türkiye. A questionnaire was employed for data collection (Appendix). Two hundred eighteen (82.2%) interns took part in the study. The questionnaire consisted of 53 questions in five sections, and included the attitudes toward obese persons (ATOP) and beliefs about obese persons (BAOP) scales. The interns most frequently cited genetic factors (98.1%) and endocrine disorder-metabolic disorders (98.1%) as non-behavioral causes of obesity, and overeating (96.2%) and physical immobility (96.2%) as behavioral causes. Lifestyle changes and exercise were most frequently recommended for treatment. The interns' attitudes toward individuals with obesity were very slightly negative, but close to neutral. Analysis showed that 46.8% of the interns reported hearing members of academic staff, intern physicians, or health workers make negative or derogatory comments or jokes about obese patients during their education, while 22.0% reported witnessing an obese patient being subjected to discriminatory treatment in the hospital environment. Medical faculties must develop curricula aimed at comprehensively addressing obesity-related bias. Such a curriculum should allow students to reflect on their biases, be aimed at reducing the effect of those biases on patient communication, and involve strategies directed toward eliminating those effects from physicians' treatment decisions.

Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content.

The COVID-19 pandemic had a devastating global impact. In the United States, there were >98 million COVID-19 cases and >1 million resulting deaths. One consequence of COVID-19 infection has been post-COVID-19 condition (PCC). People with this syndrome, colloquially called long haulers, experience symptoms that impact their quality of life. The root cause of PCC and effective treatments remains unknown. Many long haulers have turned to social media for support and guidance. In this study, we sought to gain a better understanding of the long hauler experience by investigating what has been discussed and how information about long haulers is perceived on social media. We specifically investigated the following: (1) the range of symptoms that are discussed, (2) the ways in which information about long haulers is perceived, (3) informational and emotional support that is available to long haulers, and (4) discourse between viewers and creators. We selected YouTube as our data source due to its popularity and wide range of audience. We systematically gathered data from 3 different types of content creators: medical sources, news sources, and long haulers. To computationally understand the video content and viewers' reactions, we used Biterm, a topic modeling algorithm created specifically for short texts, to analyze snippets of video transcripts and all top-level comments from the comment section. To triangulate our findings about viewers' reactions, we used the Valence Aware Dictionary and Sentiment Reasoner to conduct sentiment analysis on comments from each type of content creator. We grouped the comments into positive and negative categories and generated topics for these groups using Biterm. We then manually grouped resulting topics into broader themes for the purpose of analysis. We organized the resulting topics into 28 themes across all sources. Examples of medical source transcript themes were Explanations in layman's terms and Biological explanations. Examples of news source transcript themes were Negative experiences and handling the long haul. The 2 long hauler transcript themes were Taking treatments into own hands and Changes to daily life. News sources received a greater share of negative comments. A few themes of these negative comments included Misinformation and disinformation and Issues with the health care system. Similarly, negative long hauler comments were organized into several themes, including Disillusionment with the health care system and Requiring more visibility. In contrast, positive medical source comments captured themes such as Appreciation of helpful content and Exchange of helpful information. In addition to this theme, one positive theme found in long hauler comments was Community building. The results of this study could help public health agencies, policy makers, organizations, and health researchers understand symptomatology and experiences related to PCC. They could also help these agencies develop their communication strategy concerning PCC.

The Themes Present in the Qualitative Portion of the Student Evaluation of Teachers with Emphasis on the Differences in Themes among the Sex and Academic Rank of Faculty Members in a State University in the Philippines

This paper identified the themes present in the comments of the students of a state university in the Philippines in the qualitative portion of the student evaluation of teachers (SET) for two semesters, one before the pandemic and the other during the pandemic. Thematic analysis revealed the following themes present: (a) general positive comments, (b) general negative comments, (c) expressions of gratitude, (d) wishes and greetings to the teacher, (e) positive comments on teaching method, (f) negative comments on teaching method, (g) positive comments on teachers’ demeanor, and (h) negative comments on teachers’ demeanor. There were no differences in the themes between male and female teachers and among instructors, assistant professors, associate professors, and professors. Similarly, there were no differences found in the themes identified before and during the pandemic. The thematic analysis showed that many students made only general comments that were not helpful at all in improving teaching effectiveness. Thus, it is recommended that in the SET instrument, instruction should be given to students to make their comments specific so that teachers will know what exact things they are doing well or not. Knowing these will help improve their teaching. It was noted that there were numerous negative comments on the teachers' teaching methods and demeanor. Hence, it is recommended that the university craft intervention measures that will acquaint teachers with the various methods of teaching, considering that at the tertiary level, many teachers are not education majors trained in pedagogy. In addition, seminars and workshops regarding teacher demeanor are suggested.

Understanding the formation process of negative customer engagement behaviours: a quantitative and qualitative interpretation

The development of mobile internet has made it easier for negative emotions, cognitions and behaviours expressed by customers to be spread, and the damage caused by negative customer engagement behaviours (NCEBs) to the company's brand value and reputation has gradually been amplified. Therefore, this study aims to explore the formation process of NCEBs in online brand community by combining qualitative method with quantitative method. Xiaomi Community was selected as the data source platform, using Python programming language to crawl users’ comments in ‘11Ultra circle’ and machine learning methods to obtain negative emotional polarity comments. The text coding and classification of negative emotion polarity comments are mainly based on manual coding and supplemented by machine learning. Perform binary logistic regression on the classified data to obtain the impact of various factors on NCEBs. The results showed that there were differences in the impact of different factors on NCEBs. This article obtains a different result from existing literature, that is, cognition and emotion are no longer necessary factors for the generation of NCEBs. Company managers should start with pricing, users’ cognition mining, and identifying and solving key issues reported by users to suppress the occurrence of NCEBs.

User Sentiment Analysis Based on Online Reviews -Taking the Forbidden City Afternoon Tea Restaurant as an Example

Nowadays, Internet consumption has become a familiar name, and there are more and more feedback channels on the production experience of consumers, and the content of evaluation also determines consumers' views on the goods to a certain extent. Therefore, the rational use of online comment contents can not only help consumers understand the basic information of products, but also help enterprises to better obtain the needs of consumers and provide more references for them. This paper selects the comment data of the Palace restaurant in Dianping software, and uses Python software to conduct data mining, emotion analysis, word frequency statistics and word cloud drawing. The conclusion shows that consumers have a positive emotional tendency towards the afternoon tea in the Palace Museum, with few negative comments. At the same time, consumers pay more attention to the dining location and food ingredients. Therefore, businesses can increase the improvement of dishes and environmental transformation through online reviews to better meet the needs of consumers. This research not only provides the basis for the evaluation of the business level, but also helps to enrich the consumer's understanding of the business.

Atrial fibrillation virtual ward - a hospital is not always the best place to be

Abstract Background Atrial fibrillation (AF) continues to represent a global health challenge. Our ability to prolong our lives has inevitably led to an increase in the incidence of AF, with subsequent increase in AF-related hospitalisations. With at least 92% of the global population having access to a digital telecommunication medium, virtual wards could be the way forward for managing acute AF patients. Purpose We implemented a virtual ward for hospital patients presenting with fast AF or atrial flutter (AFL), aiming to provide remote hospital-level care. Methods Patients presenting acutely with AF/AFL to the hospital were onboarded to the virtual ward and managed remotely at home, after being given access to a single-lead ECG device, a blood pressure monitor and pulse oximeter with instructions to record daily ECGs, blood pressure, oxygen saturations and to complete an online AF symptom questionnaire via a smartphone app. Data were uploaded to a digital platform for daily review by the clinical team. Admissions were either "step-up", where patients were onboarded to the virtual ward instead of hospitalisation, or "step-down" where early hospital discharge was facilitated through virtual ward support. Outcomes included hospitalisations avoided, bed-days saved and destination therapy plans (defined as electrical cardioversion, catheter ablation, or AV nodal ablation). Patients' satisfaction was assessed using the NHS Friends and Family test (FFT) and free-text narrative feedback. Results There were 118 virtual admissions between Jan 2022 – Jan 2023. Sixty-six (55%) of them avoided initial hospital admission as patients were directly enrolled to the virtual ward from outpatient settings. A further 61 re-admissions were appropriately prevented during virtual surveillance. Hence, avoiding a total of 127 unplanned hospitalisations, saving a median of 444 days (assuming a median hospital stay of 3.5 days per AF admission). The mean age on onboarding to the virtual ward was 66 ± 10 years. Mean HR at the time of onboarding and offboarding was 124 ± 22 and 84 ± 24 bpm respectively (P<0.0001; 95% CI= -47 to -34). A rhythm control strategy was pursued in 75% (n=88, P<0.0001), and 65% (n=75, P<0.0001) were referred for destination therapy. The FFT questionnaire yielded 100% positive responses among participants. Positive feedback themes focused on avoiding hospital stay and active participation in care plans, whilst the main negative comments addressed initial difficulty with technology and expressed the need for more instant communication. There were 5 unplanned discharges from the virtual ward requiring hospitalisation. Conclusion Our preliminary outcomes demonstrate a promising foundation for a reproducible model of healthcare delivery that provides an alternative to the traditional in-patient care for patients with AF. Thus, reducing the huge associated economic burden on healthcare without compromising on patients’ care or safety.AF virtual ward referral criteriaThe new Clinical Pathway