Exploring the Clinical Usefulness of Undergraduate Medical Research: A Mixed-Methods Study.

A significant amount of published clinical research has no measurable impact on health and disease outcomes, and research in undergraduate medical education is viewed as especially susceptible. The aims of this mixed methods study were to (a) to use group concept mapping (GCM) to explore key features identified by hospital physicians, medical educators, and medical students as central to clinical usefulness in an undergraduate medical research context, and (b) review a sample of undergraduate medical research projects based on usefulness criteria described by Ioannidis (2016). In the GCM procedure, 54 respondents (39 students, 15 physicians) from an Irish medical school participated across each of three phases: brainstorming, sorting, and rating. Data was analysed using multidimensional scaling and hierarchical clustering. A retrospective analysis of 252 student projects was also completed using a rubric based on Ioannidis's (2016) six domains of "clinical usefulness": problem base, context placement and information gain, pragmatism, patient-centredness, feasibility, and transparency. Projects were scored for each domain by three assessors. Results were analysed and presented using descriptive analysis.GCM analysis revealed the following "clinically useful" research characteristics: optimal design and methodology, practicality, research skills development, translational impact, patient-centredness, and asking a clinical question. Following a rubric-based analysis of projects, the highest scoring categories (mean rating; range of 1-4) were feasibility (3.57), transparency (3.32), and problem base (3.05). The lowest scoring areas were context placement and information gain (2.73), pragmatism (2.68), and patient-centredness (212). We identified considerable conceptual overlap between stakeholder consensus views on "clinical usefulness" as applied to undergraduate research and Ioannidis's criteria. Patient-centredness was identified as a domain requiring greater emphasis during the design of undergraduate medical research. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-024-02035-7.

Electronic word-of-mouth (eWOM) on social networking sites (SNS): Roles of information credibility in shaping online purchase intention.

Electronic word of mouth (eWOM) on social networking sites (SNS) has become crucial in shaping online consumers' purchase intentions, reflecting the growing reliance on rich nature of user-generated content and recommendations shared on these platforms. This study aims to investigate the intricate relationships among different factors of eWOM information, including information credibility, information usefulness, information adoption, attitude towards information, and their impacts on online purchase intention. This study draws upon the Information Adoption Model (IAM) and the Information Acceptance Model (IACM) foundation theory which reveal the steps individuals take in adopting new information, and focuses on how perceptions and attitudes towards information shape acceptance. The study used a quantitative approach, utilizing a structured questionnaire to collect data from 337 Vietnamese individuals actively engaged in eWOM activities on various SNS platforms. Statistical analysis was conducted using partial least squares structural equation modeling (PLS-SEM). The findings show that information credibility significantly influences both information usefulness and adoption. Interestingly, while information usefulness shapes user attitudes, it does not directly impact online purchase intention. Similarly, a positive attitude toward eWOM does not necessarily lead to information adoption. This suggests that consumers may hold favorable views of eWOM content without actively adopting it. Information adoption emerges as a critical determinant of online purchase intention, emphasizing the importance of promoting user engagement and trust in eWOM information. These findings contribute to a deeper understanding of online consumer behavior and provide valuable guidance for stakeholders seeking to leverage eWOM effectively in digital marketing.

YouTube as a Source of Patient Information on External Cephalic Version: Cross-Sectional Study.

BACKGROUND: With the global increase of cesarean deliveries, breech presentation is the third indication for elective cesarean delivery. Implementation of external cephalic version (ECV), in which the position of the baby is manipulated externally to prevent breech presentation at term, remains suboptimal. Increasing knowledge for caretakers and patients is beneficial in the uptake of ECV implementation. In recent decades, the internet has become the most important source of information for both patients and health care professionals. However, the use and availability of the internet also bring about concerns since the information is often not regulated or reviewed. Information needs to be understandable, correct, and easily obtainable for the patient. Owing to its global reach, YouTube has great potential to both hinder and support spreading medical information and can therefore be used as a tool for shared decision-making. OBJECTIVE: The objective of this study was to investigate the available information on YouTube about ECV and assess the quality and usefulness of the information in the videos. METHODS: A YouTube search was performed with five search terms and the first 35 results were selected for analysis. A quality assessment scale was developed to quantify the accuracy of medical information of each video. The main outcome measure was the usefulness score, dividing the videos into useful, slightly useful, and not useful categories. The source of upload was divided into five subcategories and two broad categories of medical or nonmedical. Secondary outcomes included audience engagement, misinformation, and encouraging or discouraging ECV. RESULTS: Among the 70 videos, only 14% (n=10) were defined as useful. Every useful video was uploaded by educational channels or health care professionals and 80% (8/10) were derived from a medical source. Over half of the not useful videos were uploaded by birth attendants and vloggers. Videos uploaded by birth attendants scored the highest on audience engagement. The presence of misinformation was low across all groups. Two-thirds of the vloggers encouraged ECV to their viewers. CONCLUSIONS: A minor percentage of videos about ECV on YouTube are considered useful. Vloggers often encourage their audience to opt for ECV. Videos with higher audience engagement had a lower usefulness score compared to videos with lower audience engagement. Sources from medically accurate videos should cooperate with sources with high audience engagement to contribute to the uptake of ECV by creating more awareness and a positive attitude of the procedure, thereby lowering the chance for a cesarean delivery due to breech presentation at term.

Capacity-building during public health emergencies: perceived usefulness and cost savings of an online training on SARS-CoV-2 real-time polymerase chain reaction (qPCR) diagnostics in low- and middle-income settings during the COVID-19 pandemic.

Introduction: Upon the onset of the COVID-19 pandemic, the Public Health Laboratory Support Unit (ZIG4) at the Robert Koch Institute (RKI), the German National Public Health Institute, developed and delivered an online training on SARS-CoV-2 qPCR diagnostics to 17 partner countries in low- and middle-income countries (LMIC). This article analyses the usefulness and cost savings of this training. Methods: The authors performed a concurrent mixed-methodology study based on key informant interviews, interviewer-administered questionnaires, and document reviews. Economic costs were estimated from the perspective of RKI. Results: Responding participants indicated that the course provided good and comprehensive information on up-to-date scientific knowledge and laboratory practice in PCR diagnostics. Respondents appreciated how the technical content of the training enhanced their ability to apply diagnostic methods in their daily work. Interviewees highlighted that the fast implementation and the low threshold of attending an online training had allowed them to quickly build skills that were crucial during, and beyond, the COVID-19 crisis. The total estimated cost of the online SARS-CoV-2 qPCR training was 61,644 euros. The total estimated cost of the equivalent face-to-face training was estimated at 267,592 euros. Programme weaknesses identified included the top-down approaches taken, lack of interactive components and opportunities to directly engage with other course participants and with teachers. Conclusions: An online training was developed and implemented to support RKI partner countries in SARS-CoV-2 qPCR diagnostics during the COVID-19 pandemic, thereby strengthening pandemic response and health system resilience. The training incurred in important cost savings compared to the equivalent face-to-face training. Post-pandemic studies could usefully build on these research findings and explore ways to enhance end user involvement and improve interactive features to build stronger communities of learners and facilitate exchange of information and mutual learning.

Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis.

BACKGROUND: The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians. OBJECTIVE: This study aimed to explore physicians' acceptance of teleconsultations during the COVID-19 pandemic in Poland. METHODS: A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis. RESULTS: The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians. CONCLUSIONS: Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians' acceptance of teleconsultation systems.

Smartphone App Designed to Collect Health Information in Older Adults: Usability Study.

BACKGROUND: Studies evaluating the usability of mobile-phone assessments in older adults are limited. OBJECTIVE: This study aims to identify design-based barriers and facilitators to mobile app survey completion among 2 samples of older adults; those in the Framingham Heart Study and a more diverse sample from a hospital-based setting. METHODS: We used mixed methods to identify challenging and beneficial features of the mobile app in participants from the electronic Framingham Heart Study (n=15; mean age of 72 years; 6/15, 40% women; 15/15, 100% non-Hispanic and White) and among participants recruited from a hospital-based setting (n=15; mean age of 71 years; 7/15, 47% women; 3/15, 20% Hispanic; and 8/15, 53% non-White). A variety of app-based measures with different response formats were tested, including self-reported surveys, pictorial assessments (to indicate body pain sites), and cognitive testing tasks (eg, Trail Making Test and Stroop). Participants completed each measure using a think-aloud protocol, while being audio- and video-recorded with a qualitative interview conducted at the end of the session. Recordings were coded for participant usability errors by 2 pairs of coders. Participants completed the Mobile App Rating Scale to assess the app (response range 1=inadequate to 5=excellent). RESULTS: In electronic Framingham Heart Study participants, the average total Mobile App Rating Scale score was 7.6 (SD 1.1), with no significant differences in the hospital-based sample. In general, participants were pleased with the app and found it easy to use. A large minority had at least 1 navigational issue, most committed only once. Most older adults did not have difficulty completing the self-reported multiple-choice measures unless it included lengthy instructions but participants had usability issues with the Stroop and Trail Making Test. CONCLUSIONS: Our methods and results help guide app development and app-based survey construction for older adults, while also giving consideration to sociodemographic differences.

Predictors of seizure detection and EEG clinical impact in an italian tertiary emergency department.

BACKGROUND AND OBJECTIVES: Epileptic seizures pose challenges in emergency departments (ED), affecting up to 10% of admitted patients. This study aimed to assess emergency electroencephalogram (EmEEG) utilization, identifying factors predicting seizure detection and its influence on clinical decisions. METHODS: A retrospective review of 1135 EmEEGs on 1017 patients at a tertiary teaching hospital between June 2022 and June 2023 was conducted. Data included demographics, medical history, EmEEG indications, neuroimaging findings, and clinical outcomes. Statistical analyses utilized Fisher's exact tests and logistic regression models. RESULTS: EmEEG detected status epilepticus-related seizures in 5.40% of cases, seizures without status epilepticus in 3.05%, and status epilepticus without discrete seizures in 3.74%. Epileptiform abnormalities were noted in 22.12% of EmEEGs. EmEEG influenced initial diagnoses (21.24%), antiseizure medication changes (20.85%), and discharge decisions (39.04%). Predictors for seizures/status epilepticus included previous neurosurgery, seizures in the ED, and cognitive/behavioral impairment (p < 0.001). EmEEG significantly altered initial diagnoses based on witnessed seizures, involuntary movements, epileptiform abnormalities, and 1-2 Hz generalized periodic discharges (p < 0.001). Changes in antiseizure medications correlated with seizure occurrence, neuroimaging results, epileptiform abnormalities, and EEG background slowing (p < 0.001). Factors influencing discharge decisions included previous neurosurgery, consciousness impairment, acute neuroimaging pathology, EEG focal slowing, and EEG background slowing (p < 0.001). DISCUSSION: The study clarifies EmEEG's role in modifying initial diagnoses, treatment approaches, and discharge decisions. The study provides insights into the nuanced impact of EmEEG in different clinical scenarios, offering valuable guidance for clinicians in selecting patients for EmEEG, particularly in conditions of limited EEG availability.

Evaluating MediBetter: A Mobile Application for Health Monitoring and Medication Management.

This study introduces MediBetter, a mobile application designed to empower patients undergoing routine medication in health monitoring and medication adherence. It is a mobile application designed to serve as a supportive health technology for patients to monitor their health status and manage their routine medication. It offers three main features: text-based daily self health report, AI-based summarization of the health report, and medication taking reminder. To evaluate the quality of generated summaries generated by both the user and AI (ChatGPT), we conducted human expert evaluation process. Furthermore, we also evaluated the usefulness of existing features in the app. The experiment results show that ChatGPT-generated summaries outperformed user-generated ones, demonstrating superior informativeness, coherence, fluency, consistency, and contradiction handling. Participants found the app's features highly useful for health monitoring and medication adherence, with strong agreement on their utility.

The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis.

BACKGROUND: ChatGPT (OpenAI) is a powerful tool for a wide range of tasks, from entertainment and creativity to health care queries. There are potential risks and benefits associated with this technology. In the discourse concerning the deployment of ChatGPT and similar large language models, it is sensible to recommend their use primarily for tasks a human user can execute accurately. As we transition into the subsequent phase of ChatGPT deployment, establishing realistic performance expectations and understanding users' perceptions of risk associated with its use are crucial in determining the successful integration of this artificial intelligence (AI) technology. OBJECTIVE: The aim of the study is to explore how perceived workload, satisfaction, performance expectancy, and risk-benefit perception influence users' trust in ChatGPT. METHODS: A semistructured, web-based survey was conducted with 607 adults in the United States who actively use ChatGPT. The survey questions were adapted from constructs used in various models and theories such as the technology acceptance model, the theory of planned behavior, the unified theory of acceptance and use of technology, and research on trust and security in digital environments. To test our hypotheses and structural model, we used the partial least squares structural equation modeling method, a widely used approach for multivariate analysis. RESULTS: A total of 607 people responded to our survey. A significant portion of the participants held at least a high school diploma (n=204, 33.6%), and the majority had a bachelor's degree (n=262, 43.1%). The primary motivations for participants to use ChatGPT were for acquiring information (n=219, 36.1%), amusement (n=203, 33.4%), and addressing problems (n=135, 22.2%). Some participants used it for health-related inquiries (n=44, 7.2%), while a few others (n=6, 1%) used it for miscellaneous activities such as brainstorming, grammar verification, and blog content creation. Our model explained 64.6% of the variance in trust. Our analysis indicated a significant relationship between (1) workload and satisfaction, (2) trust and satisfaction, (3) performance expectations and trust, and (4) risk-benefit perception and trust. CONCLUSIONS: The findings underscore the importance of ensuring user-friendly design and functionality in AI-based applications to reduce workload and enhance user satisfaction, thereby increasing user trust. Future research should further explore the relationship between risk-benefit perception and trust in the context of AI chatbots.

Evaluation of the usefulness and understandability of information leaflets on fall prevention from the perspective of hospital patients and their relatives.

BACKGROUND: Falls are a major problem among adults over 60 years. Multiple preventive measures must be taken. Written information leaflets can support the knowledge transfer and positively influence recall of the information provided. OBJECTIVE: The aim was to ensure usefulness and understandability of the information leaflets on home fall prevention from the target groups' perspective. METHODS: A cross-sectional survey study with a feedback questionnaire for patients and relatives was conducted at a university hospital in Austria. Quantitative data analysis and qualitative content analysis according to Schreier were performed. RESULTS: The majority (63.9%) of patients rated the overall impression as "very good". 44.2% of the relatives rated it as "very good" and 23% as "good". The question "appealing design" was the only one with a statistically significant difference between patients and relatives. Subgroup analysis has shown a statistically significant difference between educational groups regarding the questions "easy to read" and "easy to understand". CONCLUSION: It could be shown that the information leaflets were already well tailored to the target group. The few comments regarding understandability were considered to improve the content of the information leaflets. A further evaluation regarding the benefit of the fall prevention leaflets in discharge management should be performed.

Factors affecting the adoption of metaverse in healthcare: The moderating role of digital division, and meta-culture.

This research aims to find out the factors affecting the adoption of Metaverse in healthcare. This study explores the effect of perceived ease of use, perceived usefulness, and trust on adopting Metaverse in healthcare by keeping digital division and metaculture as moderating variables. The philosophical foundation is rooted in the positivism paradigm, the methodology is quantitative, and the approach used is deductive. Data was collected in Pakistan and China through judgmental sampling from 384 respondents. Partial Least Square Structural Equation Modelling (PLS-SEM) was used to analyze the collected data. The findings validate the relationship between perceived ease of use and the adoption of metaverse with ß-value 0.236, t-value 5.207 and p-value 0.000, the relationship between perceived usefulness and the adoption of metaverse with ß-value 0.233, t-value 4.017 and p-value 0.000, and the relationship between trust and adoption of a metaverse with ß-value 0.192, t-value 3.589 and p-value 0.000. Results also show that the digital divide moderates the relation between perceived ease of use and adopting the metaverse having ß-value 0.078, t-value 1.848 and p-value 0.032. Similarly, the findings also show that the digital divide does not moderate the relationships of perceived usefulness and trust with adopting the metaverse. Moreover, the meta culture also does not moderate the relationships of perceived ease of use, usefulness, and trust with adopting the metaverse. The study contributes to theoretical research on adopting a metaverse in healthcare by examining various factors necessary for its development. It also provides guidelines for the developers and adopters of suitable metaverse technology.

The application of Moore's online learning interactions model in learning outcomes: The SOR (stimulus-organism-response) paradigm perspective.

This study presents an in-depth exploration of the impact of online learning interactions on student learning outcomes. Drawing from the Stimulus-Organism-Response (SOR) paradigm, our study focuses on the effects of online learning interactions on learners' perception usefulness and ease of use, subsequently impacting their learning outcomes. The study employs a quantitative research methodology, gathering data from a sample of 397 students enrolled in various higher education institutions across China. Data collection involved administering structured questionnaires that were designed to quantitatively assess the three components of the SOR model: stimulus (online learning interactions), organism (students' perceptions), and response (learning outcomes). The measurement model assessment and structural model assessment were conducted. Our findings reveal that online learning interactions can effectively enhance learners' perception of online learning (usefulness and ease of use), thereby influencing their learning outcomes. Notably, perceived usefulness negatively mediates the relationship between online learning interactions and learning outcomes, while perceived ease of use positively mediates this relationship. These findings offer both theoretical and practical implications.

Exploring the use, usefulness and ease of use of digital occupational health services: A descriptive correlational study of customer experiences.

Objective: This study examined the customer experiences of use, perceived usefulness and ease of use of digital occupational health (OH) services. Methods: A cross-sectional study based on an electronic survey was conducted between December 2022 and January 2023. A total of 9871 OH customers responded to the survey. The sample was restricted to respondents who used digital OH services (n = 7275). An analysis of variance was run to test the relationships between respondents' characteristics and the rate of usefulness, and ease of use variables. Results: The most commonly used digital services were appointment booking, access to health information recorded by professionals and prescription renewal, and the digital services provided by physicians and nurses. Respondents expressed quite high satisfaction with the digital services, but not as much with their usefulness and ease of use. Females, individuals under 50 years of age, those with higher education, working in white-collar or managerial positions and possessing proficient information and communication technology (ICT) skills gave the most positive evaluations regarding usefulness and ease of use. Conclusions: There was a certain level of mixed experiences among respondents regarding the usefulness and ease of use of digital OH services. We can also conclude that individuals who possess the necessary ICT skills can more easily take full advantage of the available digital services. When customers are proficient in using digital services, they can confidently interact with professionals. Regardless of the user's age, gender, education or profession, it is crucial for service providers always to strive to improve the usability of digital services.

Designing a Community-Based Health Promotion Program for Older Adults Based on Perceived Usefulness, Service Experience, Perceived Value, and Behavioral Intention.

Improving nutritional intake contributes to maintaining the health and quality of life of the older population and reducing individual and societal healthcare costs. We collaborated with two community service hubs and a public health center in Taipei's Daan District to develop a personalized community-based health and nutrition program using service design. The design was validated through a model encompassing perceived usefulness, service experience, perceived value, and behavioral intention, analyzed using PLS-SEM modeling on 76 individuals. The results showed bidirectional influences among these factors. This study provides practical recommendations for formulating public health policies and health promotion programs for older adults.

The Movement Disorder Society Criteria: Its Clinical Usefulness in Multiple System Atrophy.

Objective In 2022, Wenning et al. proposed the Movement Disorder Society Criteria (MDS Criteria) for the Diagnosis of Multiple System Atrophy (MSA). These criteria were expected to provide useful alternatives to the second consensus statement. We examined trends in these diagnostic criteria. Methods We used patient data registered with the Hokkaido Rare Disease Consortium for Multiple System Atrophy, which has been recruiting patients with MSA through medical facilities in Hokkaido since November 2014. Patients were evaluated according to the MDS criteria based on neurological examinations and imaging findings at three separate times: the first evaluation, the time of enrollment (diagnosis), and the most recent evaluation (final evaluation). Results The MDS criteria were examined in 68 of 244 patients enrolled between November 2014 and July 2022. At the initial evaluation, the classifications were as follows: clinically established (n=27; 39.7%); clinically probable (n=13; 19.1%); possible prodromal (n=12; 17.6%); and negative (did not meet criteria (n=16; 23.5%). At the time of diagnosis, the classifications were as follows: clinically established (n=45; 66.2%); clinically probable (n=12; 17.6%); possible prodromal (n=4; 5.9%); and negative (n=7; 10.3%). At the final evaluation, the classifications were as follows: clinically established (n=52; 76.5%); clinically probable (n=9; 13.2%); possible prodromal (n=2; 2.9%); and negative (n=5; 7.4%). Conclusions We were able to clarify the changes in the criteria values and transition of patients due to the clarification of imaging and supportive findings in the MDS criteria.

Factors Influencing Use of Medicinal Herbs.

In countries with a long tradition of folk herbal medicine that is not integrated into the health system, consumer interest in medicinal herbs has increased. Considering the lack of knowledge about the factors influencing the use of medicinal herbs, the aim of this study was to identify the most important factors of herbal use in Slovenia. Factors were assessed in June 2023 using a nationwide sample (N = 508). Results show that almost half of the respondents are not familiar with medicinal herbs, however, 86% use them at least a few times a year. The "familiarity with medicinal herbs" had the strongest direct effect on the use of medicinal herbs, followed by the "social impact of the herbalist" and the "perceived usefulness of medicinal herbs." There is a need to create a new approach to integrative medicine policy and the use of medicinal herbs in Slovenia by developing educational programs, training professionals, establishing guidelines for the safe and effective use of herbs, and advocating for reimbursement by health insurance companies.

Determinants of behavioral intentions to use an E-Pharmacy service: Insights from TAM theory and the moderating influence of technological literacy.

BACKGROUND: The growing significance of E-Pharmacy services in healthcare necessitates investigating the factors influencing users' behavioral intentions on these platforms. Comprehending these variables is imperative to maximize service provision, elevate customer satisfaction, and ultimately elevate healthcare accessibility and results. OBJECTIVE(S): The main goal of this study is to explore the factors that shape consumers' inclination to use E-Pharmacy services, focusing on the framework provided by the Technology Acceptance Model. Additionally, we aimed to investigate how technological literacy plays a moderating role in this context, specifically within the South African setting. METHODS: Using a sample of 480 South African clients, the Technology Acceptance Model (TAM) and partial least squares structural equation modeling (PLS-SEM) were used to investigate the factors influencing behavioral intention to use E-Pharmacy services. RESULTS: The findings underscore perceived usefulness, trust, performance expectancy, and social Influence as fundamental drivers influencing users' intentions to adopt E-Pharmacy systems. Additionally, the study shows that consumers' intention to use E-Pharmacy services is significantly and favorably affected by their desire to utilize such services. This suggests that individuals are more likely to act on positive intentions when they are interested in using E-Pharmacy platforms. Intriguingly, technological literacy has emerged as a moderating factor in the relationship between the intention to use and the actual behavior of utilizing E-Pharmacy platforms. This demonstrates the importance of consumers' technical knowledge and skills in bridging the intention-behavior gap and highlights the necessity of adapting treatments and instructional strategies to account for various levels of technological literacy. CONCLUSION: This study provides valuable insights into the complex relationships between factors influencing the acceptance of E-Pharmacy services in South Africa. This knowledge can have practical implications for lawmakers, developers of E-Pharmacy platforms, and healthcare professionals who aim to enhance user acceptance and utilization.

Data on mathematics teacher educators' proficiency and willingness to use technology: A structural equation modelling analysis.

The role of Mathematics Teacher Educators (MTEs) in preparing future teachers to effectively integrate technology into their mathematics instruction is of paramount importance yet remains an underexplored domain. Technology has the potential to enhance the development of 21st-century skills, such as problem-solving and critical thinking, which are essential for students in the era of the fourth industrial revolution. However, the rapid evolution of technology and the emergence of new trends like data analytics, the Internet of Things, machine learning, cloud computing, and artificial intelligence present new challenges in the realm of mathematics teaching and learning. Consequently, MTEs need to equip prospective teachers with the knowledge and skills to harness technology in innovative ways within their future mathematics classrooms. This paper presents and describes data from a survey of 104 MTEs in Zambia. The study focuses on MTEs' proficiency, perceived usefulness, perceived ease of use, and willingness to incorporate technology in their classrooms. This data-driven article aims to unveil patterns and trends within the dataset, with the objective of offering insights rather than drawing definitive conclusions. The article also highlights the data collection process and outlines the procedure for assessing the measurement model of the hypothesised relationships among variables through structural equation modelling analysis. The data described in this article not only sheds light on the current landscape but also serves as a valuable resource for mathematics teacher training institutions and other stakeholders seeking to understand the requisites for MTEs to foster technological skills among prospective teachers of mathematics.

The usefulness and reliability of English-language YouTube videos as a source of knowledge for patients with familial Mediterranean fever.

Background/Objectives: YouTube is increasingly being used as an educational tool and is a substantial source of information. This study aimed to assess the quality of the most viewed YouTube videos pertaining to familial Mediterranean fever (FMF). Methods: A search on YouTube was conducted on January 13, 2022, using the keywords: "familial Mediterranean fever treatment," "familial Mediterranean fever colchicine," and "familial Mediterranean fever colchicine opacalcium." Two rheumatologists independently evaluated the relevance and accuracy of the videos. Redundant or irrelevant videos were excluded. The educational value of YouTube videos was assessed using the Global Quality Scale (GQS). Comparative analyses of video parameters across different cohorts were performed. To assess the reliability and quality of the videos, a modified version of the DISCERN scale and the GQS were employed. Results: Out of the 59 videos reviewed, 43 (72.9%) were of high quality, 10 (16.9%) were of medium quality, and 6 (10.2%) were of low quality. Upon comparing parameters among groups, no significant disparities were observed in terms of daily views, daily favorites, daily dislikes, or daily comments (p > 0.05). GQS scores for usefulness and modified DISCERN scores showed significant differences among groups (p < 0.001). Additionally, both GQS and modified DISCERN scores exhibited moderately negative correlations (r =  - .450 and r =  - .474, respectively) and high statistical significance (p < 0.001 for both) with utility assessment. Conclusion: YouTube is a valuable repository of high-quality videos for FMF patients. Healthcare providers should guide their patients to high-quality video sources to supplement their educational material.

Perceived Usefulness of Self-Guided Versus Collaborative Suicide Safety Plans in Online Help-Seekers.

Background: Suicide safety plans were originally devised to be paper-based and clinician-guided, but digital self-guided plans are now common. Aim: This study explored whether plan format (paper vs. digital), assistance (self-authored vs. collaboration), and suicide attempt history were associated with differences in suicidal ideation, suicide-related coping, and perceived usefulness. Method: An online sample of safety plan users (N = 131) completed a survey assessing suicidal ideation, suicide-related coping, and perceived usefulness of their plan. t tests compared outcomes by plan format, collaboration, and suicide attempt history. Pearson correlations explored associations between reasons for plan use, suicidal ideation, and suicide-related coping. Results: Suicidal ideation was significantly higher, and perceived usefulness significantly lower in participants with a past suicide attempt (vs. none) and in those who had collaborated to make their safety plan (vs. self-authored). Collaborators were largely health professionals. No significant differences were found between plan formats. Suicide-related coping was associated with higher perceived usefulness overall. Limitations: Our study design was cross-sectional, utilizing a largely young, female, English-speaking, online help-seeking sample. Conclusions: For clients with prior suicide attempts and higher levels of suicidal ideation, meaningful collaboration may be needed to find safety plan coping strategies that are perceived as useful.