Messaging Platform Research Articles

An Analysis of Students’ Experience in Using English Learning Application “myON” in Helping Students’ English Learning Process

<p class="Abstrak">Generally, teaching and learning activities mostly rely on books, instructional materials provided by teachers, and written or verbal exercises. These learning approaches are monotonous. Given the progress of technology and the internet, it is necessary for educators to utilize technology-driven online learning platforms, such as myON applications. This will be achieved by employing qualitative research methodologies to investigate the students' experiences and perspectives on the utilization of the “myON” application for English learning. A Google Form questionnaire is utilized and distributed using the messaging platform Whatsapp. Data analysis include the utilization of narrative methodologies to effectively and accurately summarize and depict the outcomes of questionnaires, which are derived from the experiences of students. The study centered on students in the IX-B Grade of Al-Fityan High School in Medan Selayang, Sumatera Utara. Its objective was to examine the level of student engagement and enthusiasm in utilizing online learning tools, while also seeking to enhance accuracy through feedback obtained from questionnaires. The app received positive feedback from students in class IX B, who expressed satisfaction with its simple design and its positive influence on their English proficiency. While the majority experienced significant improvements in their writing, reading, listening, and grammatical skills, a few individuals indicated dissatisfaction, citing intricate explanations, high costs, and a perception of monotonous. Hence, it is imperative for the "myON" application to underscore the significance of this tool in the process of English language acquisition by showcasing improved functionalities and enhanced communication capabilities that correspond with user preferences.</p>

Trends in maternal oral health services at primary healthcare centers in Saudi Arabia: a cross-sectional study

BackgroundDuring pregnancy, many complex physiological changes and increased levels of pregnancy hormones are associated with adverse oral health and increased prevalence of periodontal disease. Our study aimed to assess the oral health needs of pregnant women and describe the patterns of dental services provided to them before, during, and after pregnancy. Assessing the oral health needs of pregnant women and understanding the patterns of dental services provided to them are important to facilitate efficient utilization of oral health services to promote better health outcomes for the mother and baby.MethodsOur study utilized a cross-sectional design to examine the prevalence of dental problems and use of dental services among a sample of postpartum women who visited primary healthcare centers (PHCs) in Jeddah for antenatal care, between 2018 and 2019. A link to a questionnaire adapted from the Pregnancy Risk Assessment Monitoring System (PRAMS) was sent to participants via the WhatsApp messaging platform. A total of 1350 postpartum women responded to the online survey. We estimated the prevalence of dental problems among women before and during pregnancy and assessed the association between their dental problems and their respective demographic characteristics. We calculated the prevalence of each dental service received before, during, and after pregnancy and examined the trends in dental services over these three periods. All bivariate associations were tested using Pearson’s chi-squared test.ResultsWe found that significantly fewer women visited a dental clinic during pregnancy (31.0%) compared to pre-pregnancy (38.2%) and post-pregnancy (47.3%). The prevalence of toothache, dental caries, gum disease, and dental extraction need before pregnancy was 45.9%, 57.0%, 27.3%, and 40.0%, respectively. These percentages remained the same during pregnancy, except for the need for dental extraction, which significantly decreased to 35.3%. Check-up dental visits increased significantly to 70.6% during pregnancy compared to pre-pregnancy (51.7%) and post-pregnancy (59.9%).ConclusionIncreasing women’s awareness of the importance and safety of oral healthcare during pregnancy, training dental students and primary healthcare dentists in the practice guidelines for the dental management of pregnant women, and developing and monitoring key performance indicators for maternal oral healthcare are the starting steps for improving the oral health and well-being of women and their children.

Physician experiences with teleconsultations amidst conflict in Sudan

The current conflict in Sudan severely hinders the accessibility of health services across the country. To address this, several initiatives were proposed including offering services using teleconsultations. This study aimed to assess Sudanese doctors' teleconsultation experience, perception, and concerns during the recent conflict. This cross-sectional survey focused on Sudanese medical officers, residents, specialists, and consultants living inside or outside the country having a practice license from the Sudan Medical Council and conducting teleconsultations with Sudanese patients during the conflict period. The questionnaire was distributed to personal and professional contacts and via social media platforms in the English language among doctors who provided teleconsultation during the conflict. Data analysis was performed using the Statistical Package for Social Sciences software version 26. The study enrolled 2463 clinicians from 17 different specialties, and females represented more than half the sample (56.8%). Internal medicine was the most frequent specialty (36.1%) and the majority (68.7%) of clinicians had less than 5 years of work experience. Voice call was the most frequent platform (50.1%) used for teleconsultation during the conflict and had the highest convenience score (p < 0.01), whereas messaging platforms had the lowest score. Most clinicians (73.3%) agreed that teleconsultations created a trusted patient-physician relationship and provided good-quality care (61.8%). However, 85.1% highlighted the importance of physical touch in medical practice. Clinicians were concerned that incomplete information (81.4%), missed diagnosis (76.8%), medicolegal problems (71.0%), and prescription errors (68.4%) could arise with teleconsultations. Most respondents (70.7%) emphasized the importance of continuing to offer teleconsultation even after the war abated. In conclusion, physicians who participated in the current study agreed that teleconsultation provided quality care even in this dire crisis in Sudan. Based on our study findings, we recommend upscaling telemedicine interventions including teleconsultations at the national level. This would require unified coordination efforts of a wide mix of stakeholders to address concerns identified in the current study.

Chatbot research: Unveiling evolutionary trends and collaborative pathways through bibliometric analysis

As technology continues to grow and rapidly transform, marketing techniques have adapted to meet the evolving desires and requirements of customers. The recent advancements in artificial intelligence (AI) and machine learning, coupled with the widespread popularity of the internet and messaging platforms, have led businesses to shift their focus toward chatbots. This study aims to contribute to the field of chatbot research by conducting a bibliometric analysis of chatbot papers available in the Scopus and Web of Science (WoS) databases. A comprehensive analysis of 360 articles was performed utilizing the Bibliometrix software package. The keywords "Chatbot" and "Artificial Intelligence" emerged as the most frequently employed terms in the majority of publications. Collaboration between the United States and China was found to be the most extensive in the field. However, limited studies have been conducted on marketing-related aspects of chatbots, such as anthropomorphism, customer satisfaction, and trust. This study reviews Scopus and WoS titles and abstracts to provide an in-depth view of chatbot research and recommends new areas of research.

Mobile Phone Technology for Preventing HIV and Related Youth Health Problems, Sexual Health, Mental Health, and Substance Use Problems in Southwest Uganda (Youth Health SMS): Protocol for a Pilot Randomized Controlled Trial.

East and Southern Africa have the highest HIV incidence and prevalence in the world, with adolescents and young adults being at the greatest risk. Despite effective combination prevention tools, including the recently available pre-exposure prophylaxis (PrEP), HIV incidence among adolescents and young adults in Uganda remains high, and PrEP use remains low. Mental health and substance use (behavioral health) play a role in sexual behavior and decision-making, contributing to an increase in the risk for acquiring HIV. Interventions that target multiple HIV risk factors, including sexual and mental health and problematic substance use, are crucial to ending the HIV epidemic. Yet few interventions addressing HIV related health disparities and comorbidities among adolescents and young adults in East and Southern Africa currently exist. This study aims to evaluate the acceptability and feasibility of Kirabo, an SMS text message intervention informed by the information, motivation, and behavior model and to be disseminated through secondary schools. The study will gather preliminary estimates of Kirabo's effectiveness in increasing HIV testing and linking users to mental health counselors. We identified Mobile 4 Reproductive Health for adaptation using the assessment, decision, administration, production, topical experts, integration, training, testing (ADAPT-ITT) framework. Mobile 4 Reproductive Health is an evidence-based automated 2-way SMS text messaging and interactive voice response platform that offers sexual and reproductive health information and links users to HIV clinics in East Africa. Through ADAPT-ITT we refined our approach and created Kirabo, an SMS text message-based intervention for linking adolescents and young adults to health services, including HIV testing and mental health counseling. We will conduct a 2-arm randomized controlled trial in Masaka, Uganda. Adolescents (N=200) will be recruited from local schools. Baseline sociodemographic characteristics, HIV test history, and behavioral health symptoms will be assessed. We will evaluate acceptability and feasibility using surveys, interviews, and mobile phone data. The preliminary efficacy of Kirabo in increasing HIV testing and linking users to mental health counselors will be evaluated immediately after the intervention and at the 3-month follow-up. We will also assess the intervention's impact on self-efficacy in testing for HIV, adopting PrEP, and contacting a mental health counselor. Intervention adaptation began in 2019. A pretest was conducted in 2021. The randomized controlled trial, including usability and feasibility assessments and effectiveness measurements, commenced in August 2023. Kirabo is a tool that assists in the efforts to end the HIV epidemic by targeting the health disparities and comorbidities among adolescents in Uganda. The intervention includes local HIV clinic information, PrEP information, and behavioral health screening, with referrals as needed. Increasing access to prevention strategies and mitigating factors that make adolescents and young adults susceptible to HIV acquisition can contribute to global efforts to end the HIV epidemic. ClinicalTrials.gov NCT05130151; https://clinicaltrials.gov/study/NCT05130151. DERR1-10.2196/49352.

Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform.

Unregulated and potentially illegal sales of tobacco, nicotine, and cannabis products have been detected on various social media platforms, e-commerce sites, online retailers, and the dark web. New end-to-end encrypted messaging services are popular among online users and present opportunities for marketing, trading, and selling of these products. The purpose of this study was to identify and characterize tobacco, nicotine, and cannabis selling activity on the messaging platform Telegram. The study was conducted in three phases: (1) identifying keywords related to tobacco, nicotine, and cannabis products for purposes of detecting Telegram groups and channel messages; (2) automated data collection from public Telegram groups; and (3) manual annotation and classification of messages engaged in marketing and selling products to consumers. Four keywords were identified ("Nicotine," "Vape," "Cannabis," and "Smoke") that yielded 20 Telegram groups with 262 506 active subscribers. Total volume of channel messages was 43 963 unique messages that included 3094 (7.04%) marketing/selling messages. The most commonly sold products in these groups were cannabis-derived products (83.25%, n = 2576), followed by tobacco/nicotine-derived products (6.46%, n = 200), and other illicit drugs (0.77%, n = 24). A variety of marketing tactics and a mix of seller accounts were observed, though most appeared to be individual suppliers. Telegram is an online messaging application that allows for custom group creation and global connectivity, but also includes unregulated activities associated with the sale of cannabis and nicotine delivery products. Greater attention is needed to conduct monitoring and enforcement on these emerging platforms for unregulated and potentially illegal cannabis and nicotine product sales direct-to-consumer. Based on study results, Telegram represents an emerging platform that enables a robust cannabis and nicotine-selling marketplace. As local, state, and national tobacco control regulations continue to advance sales restrictions and bans at the retail level, easily accessible and unregulated Internet-based channels must be further assessed to ensure that they do not act as conduits for exposure and access to unregulated or illegal cannabis and nicotine products.

Exploring the Link between Smartphone Use, Recorded Violence, and Social Sharing in 80 Case Studies in Italy

The increasing prevalence of violence recorded and shared through smartphones in today’s digital age has raised concerns about the underlying reasons driving such behavior. However, the lack of experimental studies and scientific evidence exploring the relationship between smartphone use and acts of violence has hindered our understanding of this phenomenon. To bridge this gap, the present study aimed to investigate the potential link between smartphone usage and the perpetration of violence, specifically focusing on incidents where violent acts were recorded and shared publicly. Given the challenges associated with directly observing such occurrences and the limitations of self-reporting due to social desirability bias, the study adopted a novel approach by analyzing major news outlets. Cross-referencing the most recent cases involving 80 episodes of violence, spanning from 2017 to 2023, accompanied by smartphone-recorded videos, the research aimed to gain insights into the role and outcomes of content dissemination. The findings revealed a concerning trend, indicating a rise in violence perpetrated with the aid of smartphones, where subsequent sharing on social networks and instant messaging platforms contributed to the viral spread of such content. This study provides valuable insights into the connection between smartphone usage, violence, and the sharing of violent content. The implications of these findings highlight the need for further research and the development of tools to detect and address violence-related issues in the digital space. Moreover, it emphasizes the importance of responsible social media usage and collective efforts to curb the spread of violent content and foster a safer online environment.

Analysis of E-Commerce Purchase Patterns Using Big Data: An Integrative Approach to Understanding Consumer Behavior

This research undertakes a meticulous examination of the Indonesian e-commerce industry, aiming to unravel the intricate patterns governing consumer behavior within this rapidly evolving digital landscape. Employing an extensive dataset and cutting-edge data analysis methodologies, this study discerns pivotal trends that have engendered transformative shifts in Indonesia's e-commerce sector. A conspicuous trend uncovered is the escalating reliance on instant messaging platforms and social media conduits for e-commerce transactions. This pronounced transition underscores the remarkable adaptability of businesses to the digital milieu, thereby accentuating the significance of a digitally oriented business paradigm. Furthermore, this research brings to light the prevailing predilection among non-formal e-commerce enterprises, whose revenues predominantly dwell below the IDR 300 million threshold. Notably, the Cash on Delivery (COD) method remains the preeminent payment mechanism. These observations illuminate the structural underpinnings of the market and consumer payment proclivities, thereby exerting a discernible influence on pricing strategies and payment processing mechanisms adopted by enterprises. Moreover, the study delves into the transformative effects of the COVID-19 pandemic, which have expedited the digital metamorphosis of both consumers and e-commerce enterprises. This acceleration has ushered in a new epoch characterized by novel opportunities and concomitant challenges within the e-commerce domain. In summation, this research furnishes a multidimensional and academically rigorous perspective on the Indonesian e-commerce landscape, furnishing actionable insights indispensable for businesses and policymakers alike. The comprehension of these evolving trends is indispensable for strategic formulation and policy calibration, enabling adept navigation of the dynamic e-commerce milieu.

What's up in WhatsApp research: a comprehensive analysis of 12,947 papers indexed in Dimensions.ai

PurposeIn recent years, instant messaging platforms like WhatsApp have gained substantial popularity in both academic and practical domains. However, despite this growth, there is a lack of a comprehensive overview of the literature in this field. The primary purpose of this study is to bridge this gap by analyzing a substantial dataset of 12,947 articles retrieved from the Dimensions.ai, database spanning from 2011 to March 2023.Design/methodology/approachTo achieve the authors' objective, the authors employ bibliometric analysis techniques. The authors delve into various bibliometric networks, including citation networks, co-citation networks, collaboration networks, keywords and bibliographic couplings. These methods allow for the uncovering of the social and conceptual structures within the academic discourse surrounding WhatsApp.FindingsThe authors' analysis reveals several significant findings. Firstly, the authors observe a remarkable and continuous growth in the number of academic studies dedicated to WhatsApp over time. Notably, two prevalent themes emerge: the impact of coronavirus disease 2019 (COVID-19) and the role of WhatsApp in the realm of social media. Furthermore, the authors' study highlights diverse applications of WhatsApp, including its utilization in education and learning, as a communication tool, in medical education, cyberpsychology, security, psychology and behavioral learning.Originality/valueThis paper contributes to the field by offering a comprehensive overview of the scholarly research landscape related to WhatsApp. The findings not only illuminate the burgeoning interest in WhatsApp among researchers but also provide insights into the diverse domains where WhatsApp is making an impact. The analysis of bibliometric networks offers a unique perspective on the social and conceptual structures within this field, shedding light on emerging trends and influential research. This study thus serves as a valuable resource for scholars, practitioners and policymakers seeking to navigate the evolving landscape of WhatsApp research. The study will also be useful for researchers interested in conducting bibliometric analysis using Dimensions.ai, a free database.

Design Smart Door Locks With Internet Of Things Based On Pin Security Features

Smart door lock systems have become an interesting topic of research in recent years due to the need for higher security when accessing rooms or buildings. This research aims to design and implement a smart door lock system that uses an Internet of Things (IoT)-based personal identification number (PIN) that can be controlled through the Telegram messaging platform.&#x0D; The system is designed so that users can give commands via Telegram messages to open or lock doors securely. Users can access the door without needing to be physically near it. In addition, the level of security is enhanced by allowing only authorized users to control the door via Telegram messages, as well as by implementing strong encryption and authentication mechanisms.&#x0D; In conclusion, this study succeeded in designing and implementing an IoT-based smart door lock system that can be controlled through the Telegram messaging platform using a personal identification number (PIN) as a security method. This system provides an efficient, secure, and practical solution for managing smart door access remotely. It is expected that this research can make a positive contribution to the development of smart door security technology and IoT applications at large

Bias Cuts and Data Dumps

Bias Cuts and Data Dumps

Implementation of Digital Marketing Strategy with Chatbot Technology

Chatbots are a rapidly growing technology in the field of digital marketing. They are computer programs designed to simulate conversation with human users. Chatbots can be integrated into websites, mobile apps, and messaging platforms to provide instant customer service and support, as well as personalized recommendations and promotions. By using natural language processing (NLP) and machine learning (ML) techniques, chatbots can understand and respond to user input in a human-like manner. They can also be programmed to respond to specific keywords, trigger events, and customer behavior. Chatbot implementation in digital marketing can help companies to improve customer engagement, increase sales and reduce costs. However, the key to successful chatbot implementation is to ensure that the chatbot is designed to meet the specific needs of the target audience and that it is integrated into the overall marketing strategy. This thesis explains the beneficial role of chatbots and shows how chatbots can be integrated into digital marketing strategies.

Brokerage performance drivers amongst married working women in an emerging real estate market

PurposeA perusal of extant literature suggests asymmetric devotions in empirical research that overlooks unique social and industrial dynamics of married working women in highly competitive male-dominated industries. Drawing on the social role theory, the study addressed this asymmetry by proposing a multivariate regression model that examined performance drivers of married female real estate brokers, as mediated by organizational, cognitive and social influences.Design/methodology/approachThe study employed a descriptive design. A structured electronic questionnaire was used to collect data from a sample of 256 married female brokers who are active on online messaging platforms. Snowball sampling was used to reach the research participants. Collected data were subjected to multivariate regression analysis.FindingsThe results infer that social influences were the most significant drivers of married female brokers in the real estate industry (r = 0.932, p < 0.05, F = 556.581). Significant interventions of diversity management, work-life balance, family support and access to economic opportunities were found.Practical implicationsIn acknowledging the societal stereotype and culturally imposed burdens married women face in emerging economies, the study advanced theoretical, practical and policy initiatives for a more inclusive, supportive and learning-oriented work environment.Originality/valueThe novelty of the paper lies in its exposition of the unregulated real estate brokerage market in an emerging economy and the dynamic organizational, cognitive and societal influences of married female brokers.

Are new digital technologies and social media causing the spike in anxiety and depression in young people?

The increasing rates of anxiety, depression and self-harm reported by young people in developed countries over the last decade has led to speculation about the associations between this evidence of deteriorating mental health and wellbeing and the rapid spread and use of new digital technologies, social media and personal messaging platforms (Orben and Przybylski, 2019; Nesi, 2020). It has become commonplace to assert that these rapid technological changes, and their associated adverse impacts on social group function and interpersonal behaviour, are the cause of these fundamental epidemiological shifts.

Research and Application of Intelligent Weather Push Model Based on Travel Forecast and 5G Message

In the realm of daily activity planning, precise weather forecasting services hold paramount significance. However, the prevalent dissemination of weather forecasts through conventional channels like radio, television, and the internet often yields only generalized regional predictions. This limitation contributes to diminished forecast reach, inadequate accuracy, and a lack of individualization, thwarting the effective distribution of meteorological insights and inhibiting the fulfillment of personalized forecast demands. Addressing these concerns, our study proposes a personalized weather forecasting approach that harnesses machine learning techniques and leverages the 5G messaging platform. By amalgamating projected user travel data, we augment personalized weather reports and extend user coverage to achieve tailored, timely, and high-quality weather services. Concretely, our research commences with an extensive analysis of large-scale user travel behavior data to extract pertinent travel attributes. Subsequently, we construct a user’s future location prediction model—dubbed the Loc-PredModel—by employing the Extreme Gradient Boosting (XGBoost) algorithm to forecast users’ trip destinations and arrival times. Anchored in the anticipated outcomes of user travel behavior, personalized weather data reports are formulated. Experimental results underscore the Loc-PredModel’s remarkable predictive prowess, demonstrating a root mean squared error (RMSE) value of 0.208 and a coefficient of determination (R2) value of 0.935, affirming its efficacy in prognosticating users’ trip destinations and arrival times. Furthermore, our 5G message-driven platform, rooted in intelligent personalized meteorological services, underwent testing within Chengdu city and garnered positive user feedback. Our research effectively surmounts the limitations of conventional weather forecasting platforms by furnishing users with more precise and customized weather information predicated on behavioral analysis and the 5G information ecosystem. This study not only advances the theoretical groundwork of intelligent meteorology but also offers invaluable insights and guidance for future advancement. By providing users with a more personalized and timely intelligent meteorological service experience, our approach exhibits transferability, with the research methodology and model potentially extendable nationwide or even on a larger scale beyond the study’s Chengdu-based scope.

Pengembangan Sistem Informasi Rekomendasi Wisata Kalimatan Timur Berbasis Web Menggunakan Metode Item-Based Collaborative Filtering

The development of a tourism object is an important sector in the development of an area to support the economic power of the people in the area, this also applies to the East Kalimantan province. In order to improve the tourist experience, the development of a tourist recommendation information system is a necessity. This research discusses the development of a web-based Tourism Recommendation Information System and Tourism Chatbot specifically for East Kalimantan Province.Item-Based Collaborative Filtering method is implemented in the development of this system. This method utilizes historical data of user preferences to recommend suitable tourist destinations. The data collected includes user preferences for various attractions, such as location, facilities, and types of activities. The development process starts from data collection and processing, building a web information system, to integration with a chatbot.Tourist Recommendation Information System provides recommendations for tourist destinations tailored to user preferences. Through a user-friendly web interface, users can explore interactive maps, find out the details of attractions, and see reviews from previous visitors. In addition, the Tourism Chatbot provides real-time information and recommendation services to users through an instant messaging platform. The trial results show that the Item-Based Collaborative Filtering method is able to provide recommendations that are relevant to user preferences. Users feel more assisted in planning their travel trips. The system also succeeded in increasing user interaction and engagement through the use of a responsive chatbot.In conclusion, the development of a web-based Tourism Recommendation Information System and Tourism Chatbot with the Item-Based Collaborative Filtering method can be an effective solution in improving the tourist experience in East Kalimantan Province. This system provides accurate recommendations and empowers users to plan a better and memorable tour.

Using Existing School Messaging Platforms to Inform Parents about Their Child’s Attendance

School attendance is strongly associated with academic success and high school completion, but approximately one-in-seven students miss nearly one month of school each year. To address absenteeism, we partnered with four public school districts in the metro-Atlanta area and experimentally deployed email and text messages to inform parents about their child’s attendance. Parents received personalized monthly messages through the school districts’ existing messaging platforms that had zero marginal cost per message. The messages informed parents about their child’s number of absences and how that number compared to absences of their peers. For most parents, this information was delivered through email as opposed to text, and parents of students most in need of improved attendance were the hardest to reach. Intent-to-treat estimates show the intervention reduced end-of-year absences by four-tenths to two-thirds of a day (2 to 3%) and reduced the probability of chronic absenteeism by 2 to 6%, while actually receiving the messages reduced end-of-year absences by two-thirds to almost one day (3 to 4%) and reduced the probability of chronic absenteeism by 4 to 7%.

Religious-Political Discussion on Instagram and WhatsApp and Perception of Religion among Youths in Delhi

This research paper examines the impact of social media on the perception of religion among young people in Delhi. The study explores the role of religious feelings and religious-political discourse that occur on social media platforms such as Instagram and WhatsApp, an instant messaging platform. The research uses a qualitative method in which interviews with young people in Delhi played a pivotal role in highlighting major aspects of the study. The findings indicate that social media has a significant impact on young people’s perceptions of religion in Delhi. While social media has provided young people with an opportunity to express their religious beliefs and engage in interfaith dialogue, it has also exposed them to extreme religious views and made it easier for political parties to influence their perception of religion and sometimes dehumanise other coreligionists on the basis of their system of belief and cultural context.

Characterizing the Patterns of Electronic Health Record-Integrated Secure Messaging Use: Cross-Sectional Study.

Communication among health care professionals is essential for the delivery of safe clinical care. Secure messaging has rapidly emerged as a new mode of asynchronous communication. Despite its popularity, relatively little is known about how secure messaging is used and how such use contributes to communication burden. This study aims to characterize the use of an electronic health record-integrated secure messaging platform across 14 hospitals and 263 outpatient clinics within a large health care system. We collected metadata on the use of the Epic Systems Secure Chat platform for 6 months (July 2022 to January 2023). Information was retrieved on message volume, response times, message characteristics, messages sent and received by users, user roles, and work settings (inpatient vs outpatient). A total of 32,881 users sent 9,639,149 messages during the study. Median daily message volume was 53,951 during the first 2 weeks of the study and 69,526 during the last 2 weeks, resulting in an overall increase of 29% (P=.03). Nurses were the most frequent users of secure messaging (3,884,270/9,639,149, 40% messages), followed by physicians (2,387,634/9,639,149, 25% messages), and medical assistants (1,135,577/9,639,149, 12% messages). Daily message frequency varied across users; inpatient advanced practice providers and social workers interacted with the highest number of messages per day (median 19). Conversations were predominantly between 2 users (1,258,036/1,547,879, 81% conversations), with a median of 2 conversational turns and a median response time of 2.4 minutes. The largest proportion of inpatient messages was from nurses to physicians (972,243/4,749,186, 20% messages) and physicians to nurses (606,576/4,749,186, 13% messages), while the largest proportion of outpatient messages was from physicians to nurses (344,048/2,192,488, 16% messages) and medical assistants to other medical assistants (236,694/2,192,488, 11% messages). Secure messaging was widely used by a diverse range of health care professionals, with ongoing growth throughout the study and many users interacting with more than 20 messages per day. The short message response times and high messaging volume observed highlight the interruptive nature of secure messaging, raising questions about its potentially harmful effects on clinician workflow, cognition, and errors.

An online messaging platform for learning &amp;lsquo;Wound Management&amp;rsquo;: A novel method of continuous professional education

No abstract available