The relationship between the source of oral health information and dental caries: Findings from Child Dental Health Survey 2013 in England.

OBJECTIVE: To determine the magnitude and shape of the relationship between dental caries experience and the source of oral health information in England. METHODS: This was a cross-sectional study using the Child Dental Health Survey 2013 in England. Using a negative binomial model, the relationship between the number of decayed, missing, filled teeth (DMFT) of 12- and 15-year-old students and their primary source of oral health information was assessed. The sources of oral health information included parents, television, newspapers, the Internet, and social media. The adjusted model included age, sex, and the Index of Multiple Deprivation (IMD). R was used for data handling, analysis and reporting. RESULTS: Overall, 2,372 children were assessed (48.7% female, 48.6% 12-year-old). For the majority, the primary source of oral health information was their parents (89.5%) followed by the Internet (43.4%). Over nine-tenth of the participants had a DMFT = 0. The adjusted model showed that the prevalence rate of DMFT for the children whose primary source of information is their parents (0.45) or television (0.62) is lower than 1. The prevalence rate for the Internet (1.17) and social media (1.67) was higher than 1, but they were removed from the final model due to being non-statistically significant. Age and deprivation had a direct relationship with the prevalence rate of DMFT, meaning that 15-year-olds and children from more deprived areas had a higher prevalence rate of DMFT. CONCLUSION: Children whose primary source of oral health information was their parents or television had a lower DMFT. On the contrary, using the Internet or social media as the source of oral health information was associated with higher caries experience among schoolchildren.

Impact Analysis of COVID-19 Pandemic on Hospital Reviews on Dianping Website in Shanghai, China: Empirical Study.

BACKGROUND: In the era of the internet, individuals have increasingly accustomed themselves to gathering necessary information and expressing their opinions on public web-based platforms. The health care sector is no exception, as these comments, to a certain extent, influence people's health care decisions. During the onset of the COVID-19 pandemic, how the medical experience of Chinese patients and their evaluations of hospitals have changed remains to be studied. Therefore, we plan to collect patient medical visit data from the internet to reflect the current status of medical relationships under specific circumstances. OBJECTIVE: This study aims to explore the differences in patient comments across various stages (during, before, and after) of the COVID-19 pandemic, as well as among different types of hospitals (children's hospitals, maternity hospitals, and tumor hospitals). Additionally, by leveraging ChatGPT (OpenAI), the study categorizes the elements of negative hospital evaluations. An analysis is conducted on the acquired data, and potential solutions that could improve patient satisfaction are proposed. This study is intended to assist hospital managers in providing a better experience for patients who are seeking care amid an emergent public health crisis. METHODS: Selecting the top 50 comprehensive hospitals nationwide and the top specialized hospitals (children's hospitals, tumor hospitals, and maternity hospitals), we collected patient reviews from these hospitals on the Dianping website. Using ChatGPT, we classified the content of negative reviews. Additionally, we conducted statistical analysis using SPSS (IBM Corp) to examine the scoring and composition of negative evaluations. RESULTS: A total of 30,317 pieces of effective comment information were collected from January 1, 2018, to August 15, 2023, including 7696 pieces of negative comment information. Manual inspection results indicated that ChatGPT had an accuracy rate of 92.05%. The F1-score was 0.914. The analysis of this data revealed a significant correlation between the comments and ratings received by hospitals during the pandemic. Overall, there was a significant increase in average comment scores during the outbreak (P<.001). Furthermore, there were notable differences in the composition of negative comments among different types of hospitals (P<.001). Children's hospitals received sensitive feedback regarding waiting times and treatment effectiveness, while patients at maternity hospitals showed a greater concern for the attitude of health care providers. Patients at tumor hospitals expressed a desire for timely examinations and treatments, especially during the pandemic period. CONCLUSIONS: The COVID-19 pandemic had some association with patient comment scores. There were variations in the scores and content of comments among different types of specialized hospitals. Using ChatGPT to analyze patient comment content represents an innovative approach for statistically assessing factors contributing to patient dissatisfaction. The findings of this study could provide valuable insights for hospital administrators to foster more harmonious physician-patient relationships and enhance hospital performance during public health emergencies.

The effect of web-based training given to nurses on the prevention of pressure injury in patients hospitalized in the anesthesiology and reanimation intensive care unit: quasi-experimental pre-test post-test research.

BACKGROUND: The knowledge, attitudes, and behaviors of intensive care nurses concerning the prevention of pressure injury (PI) may be positively affected by education. PURPOSE: To evaluate the effect of web-based training given to nurses on their knowledge of, attitudes about, and behaviors in the prevention of PI. METHODS: This study was conducted between May 2019 and December 2019 with a pre-test and post-test design. The study sample consisted of 22 nurses and 80 patients. A link to the educational video prepared for the prevention of PIs was sent to the nurses' mobile phones. RESULTS: The training had a significant positive effect on nurses' level of knowledge of and attitudes toward PI prevention (P < .001 and P = .042, respectively). In group 1, comprising 40 patients who received treatment before nurses' training, 2.5% of patients had stage 1 PI on day 1 and 7.5% had stage 1 PI on day 7, and 2.5% had stage 4 PI on day 7. In group 2, comprising 40 patients who received treatment after nurses' training, 2.5% of patients had stage 1 PI on day 1 and 2.5% had stage 1 PI on day 7. CONCLUSION: Nurses' knowledge of and attitudes and behaviors toward PI prevention were improved following the web-based training, and the stage and rate of PI were lower in patients who received care after nurses received the training.

Parental concerns about oral health of children: Is ChatGPT helpful in finding appropriate answers?

INTRODUCTION: Artificial intelligence (AI) is becoming an important part of our lives owing to increased data availability and improved power of computing. One of the recently launched modalities of AI, ChatGPT, is being enormously used worldwide for different types of tasks. In medical context, its use is being explored for clinical queries, academia, research help, etc. Further, literature suggests that parents seek information about health of their children using different Internet resources and would surely turn toward ChatGPT for the same, as this chatbot model is easy to use, generates "one" response, and is available without any subscription. ChatGPT generates a response using text cues and applying different algorithms on prepublished literature but is still in its naïve state; hence, it is imperative to validate the generated responses. Accordingly, we planned this study to determine the clarity, correctness, and completeness of some Frequently asked questions (FAQs) about child's oral health, from a mother's perspective. METHODS: The study design was a vignette-based survey and included a set of 23 questions, for which ChatGPT was interviewed from the perspective of an imaginary parent. The answers responded by ChatGPT were copied "verbatim," and a Google survey form was designed. The survey form was validated and then sent to 15 pediatric dentists, and the responses were mainly collected on the Likert's scale with a provision of one open-ended question aiming to determine "what they would have added" to this generated response as an expert in the field. RESULTS: The responses on Likert's scale were condensed and values ≥4 were considered 'adequate and acceptable' while scores ≤3, were considered 'inadequate'. The generated responses and comments mentioned by different respondents in the open-ended question were critiqued in reference to the existing literature. CONCLUSION: Overall, the responses were found to be complete and logical and in clear language, with only some inadequacies being reported in few of the answers.

Assessing readability of online patient educational material on concussion and return to play.

OBJECTIVE: Concussions are self-limited forms of mild traumatic brain injury (TBI). Gradual return to play (RTP) is crucial to minimizing the risk of second impact syndrome. Online patient educational materials (OPEM) are often used to guide decision-making. Previous literature has reported that grade-level readability of OPEM is higher than recommended by the American Medical Association and the National Institutes of Health. The authors evaluated the readability of OPEM on concussion and RTP. METHODS: An online search engine was used to identify websites providing OPEM on concussion and RTP. Text specific to concussion and RTP was extracted from each website and readability was assessed using the following six standardized indices: Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Simple Measure of Gobbledygook Index, and Automated Readability Index. One-way ANOVA and Tukey's post hoc test were used to compare readability across sources of information. RESULTS: There were 59 concussion and RTP articles, and readability levels exceeded the recommended 6th grade level, irrespective of the source of information. Academic institutions published OPEM at simpler readability levels (higher FRE scores). Private organizations published OPEM at more complex (higher) grade-level readability levels in comparison with academic and nonprofit institutions (p < 0.05). CONCLUSIONS: The readability of OPEM on RTP after concussions exceeds the literacy of the average American. There is a critical need to modify the concussion and RTP OPEM to improve comprehension by a broad audience.

Impact of mobile Internet use on health-seeking behaviors: evidence from China.

Introduction: Although health-seeking behaviors are crucial to China's healthcare delivery system, the influence of mobile Internet use in this context remains under-explored. This study aimed to comprehensively explore the influence of mobile Internet use on health-seeking behaviors, and meticulously examined the heterogeneity in health outcomes associated with the intersection between mobile Internet use and health-seeking behaviors. Methods: We used nationally representative data derived from the China Family Panel Studies. Given that individuals typically make the decision to use mobile Internet autonomously, an instrumental variable regression methodology was adopted to mitigate potential selection biases. Results: Our findings revealed that mobile Internet use significantly promoted self-medication and adversely affected the use of primary care facilities among Chinese adults. Furthermore, our findings highlighted the heterogeneous effects of mobile Internet use across diverse health demographic groups. Conclusion: These findings underscore the importance of strategic planning and utilizing mobile Internet resources to steer individuals toward more appropriate healthcare-seeking behaviors.

Web-Based Cognitive Behavioral Treatment for Bulimia Nervosa: A Randomized Clinical Trial.

Importance: Despite the existence of effective treatments, many individuals with bulimia nervosa (BN) do not receive evidence-based therapies. Integrating digital interventions into routine care might reach more patients and reduce the clinical burden of BN. Objective: To evaluate the effectiveness of a web-based cognitive behavioral self-help intervention for individuals with BN. Design, Setting, and Participants: A 2-group randomized clinical trial without follow-up was conducted between February 2, 2021, and July 9, 2022, in Germany. Participants aged between 18 and 65 years who met the diagnostic criteria for BN were enrolled online via self-referral. Data analyses were conducted from October 24, 2022, to December 23, 2023. Interventions: A web-based cognitive behavioral self-help intervention including 12 weekly modules was compared with a waiting-list control group only having access to routine care. Main Outcomes and Measures: The primary outcome was the change in the number of bulimic episodes between baseline and posttreatment. Secondary outcomes included changes in global eating disorder symptoms, clinical impairment, well-being, work capacity, comorbid symptoms, self-esteem, and emotion regulation complemented by weekly measures and ecological momentary assessment. Intention-to-treat analyses were performed. Results: Participants (N = 154; mean [SD] age, 29.6 [8.6] years; 149 [96.8%] female) receiving the web-based intervention demonstrated a significantly greater decrease in bulimic episodes compared with the control group (Cohen d = -0.48; 95% CI, -0.75 to -0.20; P < .001), representing a significant change in binge-eating episodes (Cohen d = -0.61; 95% CI, -0.89 to -0.33; P < .001), but not in compensatory behaviors (Cohen d = -0.25; 95% CI, -0.51 to 0.02; P = .21). The intervention was superior in improving global eating disorder symptoms (Cohen d = -0.61; 95% CI, -0.89 to -0.32; P < .001) and clinical impairment (Cohen d = -0.62; 95% CI, -0.92 to -0.33; P < .001). No significant effects were found for well-being (Cohen d = -0.08; 95% CI, -0.37 to 0.22; P > .99) and work capacity (Cohen d = -0.01; 95% CI, -0.68 to 0.66; P = .99). Exploratory analyses indicated significant changes in self-esteem and emotion regulation difficulties, but not in comorbid symptoms. Conclusions and Relevance: In this randomized clinical trial, a web-based cognitive behavioral self-help intervention effectively decreased eating disorder symptoms and illness-related burden in individuals with BN, underlining the potential of digital interventions to complement established treatments. Trial Registration: ClinicalTrials.gov Identifier: NCT04876196.

Relationship and mechanisms between internet use and physical exercise among middle- and younger-aged groups.

The "Internet Plus" era has established a closer connection between sports and individuals. This study used data from the 2018 China Family Panel Studies and focused on the middle- and younger-aged population aged 15 to 59 years. Employing a negative binomial regression model, this study empirically analyzed the impact of Internet use on physical exercise and its internal mechanisms among this population. The findings revealed that (1) Internet use significantly promoted physical exercise in the middle- and younger-aged population, with the frequency of physical exercise increasing to 1.549 times the original value; (2) The positive effects of the internet on physical exercise outweighed the negative effects, with online learning and entertainment enhancing physical exercise and online socialization limiting it. Specifically, online learning and entertainment increased the frequency of physical exercise among the middle- and younger-aged population by 0.063 and 0.018, respectively. Online socialization reduced the frequency by 0.023; and (3) The influence of internet use on physical exercise varies; significantly, it positively affects the exercise frequency among individuals over 35 years old and shows a positive correlation with employment status, including both employed individuals and those out of the labor market. The positive role of Internet use in encouraging physical exercise participation among the middle- and young-aged groups should be valued and enhanced.

American academic freedom is in peril.

Academics researching online misinformation in the US are learning a hard lesson: Academic freedom cannot be taken for granted. They face a concerted effort-including by members of Congress-to undermine or silence their work documenting false and misleading internet content. The claim is that online misinformation researchers are trying to silence conservative voices. The evidence suggests just the opposite.

"How" web searches change under stress.

To adjust to stressful environments, people seek information. Here, we show that in response to stressful public and private events the high-level features of information people seek online alter, reflecting their motives for seeking knowledge. We first show that when people want information to guide action they selectively ask "How" questions. Next, we reveal that "How" searches submitted to Google increased dramatically during the pandemic (controlling for search volume). Strikingly, the proportion of these searches predicted weekly self-reported stress of ~ 17K individuals. To rule out third factors we manipulate stress and find that "How" searches increase in response to stressful, personal, events. The findings suggest that under stress people ask questions to guide action, and mental state is reflected in features that tap into why people seek information rather than the topics they search for. Tracking such features may provide clues regrading population stress levels.

Investigating the effectiveness of web-based HIV self-test distribution and linkage to HIV treatment and PrEP among groups at elevated risk of HIV in Viet Nam provinces: a mixed-methods analysis of implementation from pilot to scale-up.

INTRODUCTION: In Viet Nam, key populations (KPs) face barriers accessing HIV services. Virtual platforms can be leveraged to increase access for KPs, including for HIV self-testing (HIVST). This study compares reach and effectiveness of a web-based HIVST intervention from pilot to scale-up in Viet Nam. METHODS: A mixed-methods explanatory sequential design used cross-sectional and thematic analysis. The pilot launched in Can Tho in November 2020, followed by Hanoi and Nghe An in April 2021. Scale-up included Can Tho and Nghe An, with 21 novel provinces from April to December 2022. After risk assessment, participants registered on the website, receiving HIVST (OraQuick®) by courier, peer educator or self-pick-up. Test result reporting and completing satisfaction surveys were encouraged. Intervention reach was measured through numbers accessing the testing, disaggregated by demographics, and proportion of individuals reporting self-testing post-registration. Effectiveness was measured through numbers reporting self-test results, testing positive and linking to care, and testing negative and using HIVST to manage pre-exposure prophylaxis (PrEP) use. Thematic content analysis of free-text responses from the satisfaction survey synthesized quantitative outcomes. RESULTS: In total, 17,589 participants registered on the HIVST website; 11,332 individuals ordered 13,334 tests. Participants were generally young, aged <25 years (4309/11,332, 38.0%), male (9418/11,332, 83.1%) and men who have sex with men (6437/11,332, 56.8%). Nearly half were first-time testers (5069/11,332, 44.9%). Scale-up participants were two times more likely to be assigned female at birth (scale-up; 1595/8436, 18.9% compared to pilot; 392/3727, 10.5%, p < 0.001). Fewer test results were reported in scale-up compared with pilot (pilot: 3129/4140, 75.6%, scale-up: 5811/9194, 63.2%, p < 0.001). 6.3% of all tests were reactive (pilot: 176/3129, 5.6% reactive compared to scale-up: 385/5811, 6.6% reactive, p = 0.063); of which most linked to care (509/522, 97.5%). One-fifth of participants with a negative test initiated or continued PrEP (pilot; 19.8%, scale-up; 18.5%, p = 0.124). Thematic analysis suggested that community delivery models increased programmatic reach. Live chat may also be a suitable proxy for staff support to increase result reporting. CONCLUSIONS: Web-based self-testing in Viet Nam reached people at elevated risk of HIV, facilitating uptake of anti-retroviral treatment and direct linkage to PrEP initiations. Further innovations such as the use of social-network testing services and incorporating features powered by artificial intelligence could increase the effectiveness and efficiency of the approach.

Feasibility of a trauma-focused internet- and mobile-based intervention for youth with posttraumatic stress symptoms.

Background: Many youth with posttraumatic stress symptoms (PTSS) do not receive evidence-based care. Internet- and Mobile-Based Interventions (IMIs) comprising evidence-based trauma-focused components can address this gap, but research is scarce. Thus, we investigated the feasibility of a trauma-focused IMI for youth with PTSS.Methods: In a one-arm non-randomized prospective proof-of-concept study, 32 youths aged 15-21 years with clinically relevant PTSS (CATS ≥ 21) received access to a trauma-focused IMI with therapist guidance, comprising nine sessions on an eHealth platform accessible via web-browser. We used a feasibility framework assessing recruitment capability, sample characteristics, data collection, satisfaction, acceptability, study management abilities, safety aspects, and efficacy of the IMI in PTSS severity and related outcomes. Self-rated assessments took place pre-, mid-, post-intervention and at 3-month follow-up and clinician-rated assessments at baseline and post-intervention.Results: The sample mainly consisted of young adult females with interpersonal trauma and high PTSS levels (CATS, M = 31.63, SD = 7.64). The IMI sessions were found useful and comprehensible, whereas feasibility of trauma processing was perceived as difficult. Around one-third of participants (31%) completed the IMI's eight core sessions. The study completer analysis showed a significant reduction with large effects in self-rated PTSS at post-treatment [t(21) = 4.27; p < .001; d = 0.88] and follow-up [t(18) = 3.83; p = .001; d = 0.84], and clinician-rated PTSD severity at post-treatment [t(21) = 4.52; p < .001; d = 0.93]. The intention-to-treat analysis indicated significant reductions for PTSS at post-treatment and follow-up with large effect sizes (d = -0.97- -1.02). All participants experienced at least one negative effect, with the most common being the resurfacing of unpleasant memories (n = 17/22, 77%).Conclusion: The study reached highly burdened young adults. The IMI was accepted in terms of usefulness and comprehensibility but many youths did not complete all sessions. Exploration of strategies to improve adherence in trauma-focused IMIs for youth is warranted, alongside the evaluation of the IMI's efficacy in a subsequent randomized controlled trial.

Youth often lack access to evidence-based care after trauma. This study assessed the feasibility of a trauma-focused internet- and mobile-based intervention with therapist guidance.The intervention was accepted by youths, and the preliminary evaluation of participant responses suggests its efficacy.Future studies should examine strategies to improve adherence and the IMI's efficacy in a RCT.

CARTAR: a comprehensive web tool for identifying potential targets in chimeric antigen receptor therapies using TCGA and GTEx data.

Chimeric antigen receptor (CAR) therapy has emerged as a ground-breaking advancement in cancer treatment, harnessing the power of engineered human immune cells to target and eliminate cancer cells. The escalating interest and investment in CAR therapy in recent years emphasize its profound significance in clinical research, positioning it as a rapidly expanding frontier in the field of personalized cancer therapies. A crucial step in CAR therapy design is choosing the right target as it determines the therapy's effectiveness, safety and specificity against cancer cells, while sparing healthy tissues. Herein, we propose a suite of tools for the identification and analysis of potential CAR targets leveraging expression data from The Cancer Genome Atlas and Genotype-Tissue Expression Project, which are implemented in CARTAR website. These tools focus on pinpointing tumor-associated antigens, ensuring target selectivity and assessing specificity to avoid off-tumor toxicities and can be used to rationally designing dual CARs. In addition, candidate target expression can be explored in cancer cell lines using the expression data for the Cancer Cell Line Encyclopedia. To our best knowledge, CARTAR is the first website dedicated to the systematic search of suitable candidate targets for CAR therapy. CARTAR is publicly accessible at https://gmxenomica.github.io/CARTAR/.

[The current situation of occupational health in the Internet industry and countermeasures].

As an important force in promoting the transformation and upgrading of the national economy, the occupational health of the Internet industry's employees has received widespread attention. This paper examines the current situation of occupational health risks and management in the Internet industry at home and abroad, and on this basis reveals the physical and mental health problems of Internet industry employees. Combining the existing regulations, policies and standard documents at home and abroad, countermeasures are proposed to improve the relevant laws and regulations and their guidelines, implement relevant job design requirements, build a healthy working environment, optimise the work management system and carry out workplace health promotion, in order to provide ideas to accelerate the improvement of occupational health issues in the Internet industry.

Assessing the value and knowledge gains from an online tick identification and tick-borne disease management course for the Southeastern United States.

BACKGROUND: Tick-borne diseases are a growing public health threat in the United States. Despite the prevalence and rising burden of tick-borne diseases, there are major gaps in baseline knowledge and surveillance efforts for tick vectors, even among vector control districts and public health agencies. To address this issue, an online tick training course (OTTC) was developed through the Southeastern Center of Excellence in Vector-Borne Diseases (SECOEVBD) to provide a comprehensive knowledge base on ticks, tick-borne diseases, and their management. METHODS: The OTTC consisted of training modules covering topics including tick biology, tick identification, tick-borne diseases, and public health, personal tick safety, and tick surveillance. The course was largely promoted to vector control specialists and public health employees throughout the Southeastern US. We collected assessment and survey data on participants to gauge learning outcomes, perceptions of the utility of knowledge gained, and barriers and facilitators to applying the knowledge in the field. RESULTS: The OTTC was successful in increasing participants' baseline knowledge across all course subject areas, with the average score on assessment increasing from 62.6% (pre-course) to 86.7% (post-course). More than half of participants (63.6%) indicated that they would definitely use information from the course in their work. Barriers to using information identified in the delayed assessment included lack of opportunities to apply skills (18.5%) and the need for additional specialized training beyond what the OTTC currently offers (18.5%), while the main facilitator (70.4%) for applying knowledge was having opportunities at work, such as an existing tick surveillance program. CONCLUSIONS: Overall, this OTTC demonstrated capacity to improve knowledge in a necessary and underserved public health field, and more than half of participants use or plan to use the information in their work. The geographic reach of this online resource was much larger than simply for the Southeastern region for which it was designed, suggesting a much broader need for this resource. Understanding the utility and penetrance of training programs such as these is important for refining materials and assessing optimal targets for training.

Development and usability testing of an online support tool to identify models and frameworks to inform implementation.

BACKGROUND: Theories, models and frameworks (TMFs) are useful when implementing, evaluating and sustaining healthcare evidence-based interventions. Yet it can be challenging to identify an appropriate TMF for an implementation project. We developed and tested the usability of an online tool to help individuals who are doing or supporting implementation practice activities to identify appropriate models and/or frameworks to inform their work. METHODS: We used methods guided by models and evidence on implementation science and user-centered design. Phases of tool development included applying findings from a scoping review of TMFs and interviews with 24 researchers/implementers on barriers and facilitators to identifying and selecting TMFs. Based on interview findings, we categorized the TMFs by aim, stage of implementation, and target level of change to inform the tool's algorithm. We then conducted interviews with 10 end-users to test the usability of the prototype tool and administered the System Usability Scale (SUS). Usability issues were addressed and incorporated into the tool. RESULTS: We developed Find TMF, an online tool consisting of 3-4 questions about the user's implementation project. The tool's algorithm matches key characteristics of the user's project (aim, stage, target change level) with characteristics of different TMFs and presents a list of candidate models/frameworks. Ten individuals from Canada or Australia participated in usability testing (mean SUS score 84.5, standard deviation 11.4). Overall, participants found the tool to be simple, easy to use and visually appealing with a useful output of candidate models/frameworks to consider for an implementation project. Users wanted additional instruction and guidance on what to expect from the tool and how to use the information in the output table. Tool improvements included incorporating an overview figure outlining the tool steps and output, displaying the tool questions on a single page, and clarifying the available functions of the results page, including adding direct links to the glossary and to complementary tools. CONCLUSIONS: Find TMF is an easy-to-use online tool that may benefit individuals who support implementation practice activities by making the vast number of models and frameworks more accessible, while also supporting a consistent approach to identifying and selecting relevant TMFs.

Exploring the content of epilepsy fellowship program websites: an analysis of information available to applicants.

BACKGROUND: Program websites are essential resources in the process of residency and fellowship application. We evaluated the information furnished on these resources by Epilepsy fellowship programs. The extent of information provided was compared across geographic zones, academic affiliation, and national ranking. METHODS: A list of Epilepsy fellowship programs was derived from the Fellowship and Residency Electronic Interactive Database (FREIDA). Links to program websites were obtained directly from FREIDA or using Google's search engine. Online data was categorized to reflect program information, education, recruitment, compensation, epilepsy center-specific information, and social media presence. Data points under each category were collected to develop a standardized scoring system. The frequency of criterion present was compared across geographic zones, academic affiliation, and national ranking using parametric and non-parametric statistical tests. Significance was determined at a p-value ≤ 0.05 for all cases. The study utilized IBM SPSS version 28 and Python 3.11.3. RESULTS: We analyzed 80 Epilepsy fellowship programs. The most reported feature was the program director's name and email (100.0%). The least reported features included board pass rates (1.3%), preparatory boot camp (8.8%), and post-fellowship placements (11.3%). Programs were found to be well-represented on X (88.8%), Facebook (81.3%), and Instagram (71.3%). Most (85.0%) of the programs were searchable through Google. The scores for program information, education, recruitment, compensation, epilepsy center-specific information, and social media visibility did not significantly vary based on location, academic affiliation, or rank status. CONCLUSIONS: Our results demonstrate that despite an online presence, there is much room for improvement in the content available to the applicant. To improve the Match process and attract a roster of well-informed fellows, Epilepsy fellowship programs should furnish program websites with up-to-date information relevant to program information, education, recruitment, compensation, and epilepsy center-specific information.