Text Messaging Applications Research Articles

Feasibility and Acceptability of a REDCap-Embedded HIPAA-Compliant Text Messaging Application to Track Medication Adherence in Adolescents With Lupus.

Despite advances in clinical care and treatment options, adolescents with lupus continue to experience adverse health outcomes. Poor adherence to medication regimens is a major contributor to these negative outcomes. The utility of short message service (SMS) in tracking barriers to adherence prospectively remains untested for adolescents with lupus. Our objectives were (1) feasibility of incorporating a Health Insurance Portability and Accountability Act (HIPAA)-compliant SMS text messaging application into REDCap and (2) acceptability of using SMS text messaging to track barriers to medication adherence in adolescents with lupus. This study is a 12-week pilot cohort study of adolescents with SLE per the 1997 revised American College of Rheumatology. A REDCap-embedded HIPAA-compliant text messaging application was used to send biweekly messages with survey link to track medication adherence. Measures were completed. Descriptive statistics were used to summarize demographics, medical, and acceptability data. Response to text messages and survey completion rates were reported as a measure of feasibility. Most eligible adolescents approached agreed to participate (n = 17, 71% enrollment rate). The cellphone ownership rate among adolescents eligible for participation was 92%. Nine subjects responded to all text messages sent (53% response and completion rate). Eleven subjects (65%) responded to two thirds of the text messages. Overall, 77% of enrolled subjects completed at least half of the surveys sent. Reminders to complete surveys were sent to 30% of enrolled adolescents. This study shows that embedding a HIPAA-compliant SMS text message application in REDCap is feasible and can be used to engage adolescents with chronic conditions in monitoring between clinic visits.

Enhancing Emergency Department Patient Experience and Flow Through Real-Time Text-Messaging Updates

Surging patient volumes in emergency departments require innovative approaches to improve patients’ experiences, given the expectations they have formed by interacting with industries such as travel, retail, and dining, where they receive personalized text messaging or in-application updates on their order or the status of their flight. This technology has not been widely adopted in the health care industry, and it presents an opportunity to meet and exceed consumer expectations. At Inova Health System, a diverse team comprising physicians, nurses, patient engagement leaders, and informaticists developed a text-messaging application for delivering real-time updates to emergency department patients and their family members during their visit. This process occurs almost entirely in the background without burdening clinical and nursing staff with additional administrative tasks. The team demonstrated substantial improvement in key patient experience metrics and revealed the broader operational utilities of automated messaging to enhance departmental efficiency.

An IoT Real-Time Potable Water Quality Monitoring and Prediction Model Based on Cloud Computing Architecture.

In order to achieve the Sustainable Development Goals (SDG), it is imperative to ensure the safety of drinking water. The characteristics of each drinkable water, encompassing taste, aroma, and appearance, are unique. Inadequate water infrastructure and treatment can affect these features and may also threaten public health. This study utilizes the Internet of Things (IoT) in developing a monitoring system, particularly for water quality, to reduce the risk of contracting diseases. Water quality components data, such as water temperature, alkalinity or acidity, and contaminants, were obtained through a series of linked sensors. An Arduino microcontroller board acquired all the data and the Narrow Band-IoT (NB-IoT) transmitted them to the web server. Due to limited human resources to observe the water quality physically, the monitoring was complemented by real-time notifications alerts via a telephone text messaging application. The water quality data were monitored using Grafana in web mode, and the binary classifiers of machine learning techniques were applied to predict whether the water was drinkable or not based on the data collected, which were stored in a database. The non-decision tree, as well as the decision tree, were evaluated based on the improvements of the artificial intelligence framework. With a ratio of 60% for data training: at 20% for data validation, and 10% for data testing, the performance of the decision tree (DT) model was more prominent in comparison with the Gradient Boosting (GB), Random Forest (RF), Neural Network (NN), and Support Vector Machine (SVM) modeling approaches. Through the monitoring and prediction of results, the authorities can sample the water sources every two weeks.

Pediatric resident use, perceptions, and desires for improvement of a clinical secure messaging application

BackgroundHospitals are transitioning away from traditional pagers to secure text messaging (STM) applications. STM is perceived to improve efficiency and accessibility. There is limited research on user's impressions of how STM impacts patient safety, provider wellness, and quality of patient care. ObjectivesTo understand the use and perceptions of a clinical STM by pediatric residents at a free-standing quaternary care children's hospital. MethodsA survey was conducted of pediatric residents regarding their experience with Diagnotes®. Demographic data were obtained along with use patterns, ability to perform tasks, and perceptions of intended purpose. Further questions evaluated agreement with communication strategies and satisfaction with features. Three open-ended questions asked about experience where STM impacted (1) patient care coordination and (2) patient safety. A final question asked for any additional STM feedback. ResultsOf 169 surveys, there were 112 respondents (66.3 % response rate). Respondents unanimously endorsed daily STM use on their personal mobile devices with good knowledge of basic features. Respondents were overall satisfied with Diagnotes® (73.9 %) including the ability to communicate efficiently (84.8 %) and effectively (79.5 %). Yet only 32.1 % were satisfied with Diagnotes® training. Only 59.5 % believed Diagnotes® was appropriate for urgent patient care needs and only 43.2 % believed its purpose was to inform the team of patient emergencies. Key qualitative themes included improved coordination of patient care tasks through STM, but there were concerns raised around sending and receiving messages, the additional cognitive burden placed by STM, and differences in culture of use that created conflict. ConclusionsDiagnotes® is viewed positively including use for effective coordination of patient care and familiarity of functions of Diagnotes®. Barriers included unclear interprofessional expectations for use. Future research should incorporate a broad range of healthcare professionals' perceptions and co-creation of STM best practice guidelines for use, including around urgent or emergent patient care issues.

Pragmatic functions of wara in Japanese text messages

Abstract This study illustrates the pragmatic functions of 笑 (wara), the kanji or Chinese character meaning “laughter,” on the text messaging application LINE, and identifies the online communication strategies using it across 68 text message chats shared by Japanese university students who insert this and other laughter characters in their text conversations. The study’s results suggest that various laughter characters, including (笑), 笑 and w, act as contextualization cues at the end of the sentence, performing three distinct functions: acknowledging humor in the preceding proposition, inviting laughter, and softening the illocutionary force. Analyzed using politeness theory, the second and third functions are respectively categorized as positive politeness and negative politeness. This study also argues that the first function reflects the writer’s subjectivity, whereas the second and third reflect the writer’s intersubjectivity.

Development of an augmented Damerau–Levenshtein method for correcting spelling errors in Kazakh texts

The presented paper is devoted to the development of a method for identifying and correcting spelling errors in Kazakh texts. In this paper, the study object is methods for more accurate correction of spelling errors in Kazakh texts. The aim of the study is to develop an augmented version of the Damerau-Levenshtein method for correcting spelling errors in Kazakh language texts. Automatic detection and correction of spelling errors have become a default feature in modern text editors for working with text data, in text messaging applications such as chatbots, messengers, etc. However, although this task is well solved in geographically widespread languages, it has not been fully solved in languages with a small audience, such as the Kazakh language. The methods developed so far cannot correct all spelling errors found in Kazakh texts. Therefore, the development of a method with specific algorithms for spelling error correction in Kazakh texts is considered. As a result of the research work, algorithms for correcting errors found in Kazakh language texts were developed, and the developed algorithms were included in the Damerau-Levenshtein method. The experimental testing results of the augmented Damerau- Levenshtein method showed 97.2 % accuracy in correcting specific errors found only in Kazakh words and 92.8 % accuracy in correcting common errors from letter symbols. The standard Damerau-Levenshtein method testing results showed 76.4 % accuracy in correcting specific errors found only in Kazakh words. The results of the tests in correcting common errors from letter symbols with the standard Damerau-Levenshtein were approximately the same with the augmented Damerau-Levenshtein method, the accuracy is 92.2 %. The extent and conditions of practical application of the results are implemented by including them in text editors, messengers, e-mails and similar applications that work with text data.

The use of the Capability-Opportunity- Motivation Behavior (COM-B) model to identify barriers to medication adherence and the application of mobile health technology in adults with coronary heart disease: A qualitative study

ObjectiveAmong patients with coronary heart disease, we sought to address the research questions of: 1) What is the acceptability of applying a technology-enabled approach to support medication adherence?; and 2) What are barriers to medication adherence using the Capability-Opportunity-Motivation Behavior (COM-B) model as a guiding framework? MethodsApplying qualitative research methods, we employed a series of 3 focus groups per individual (total 9 sessions). Coded data from thematic analysis were mapped to the COM-B model components for meaningful associations. ResultsFourteen participants were recruited (median age 69.5 ± 11, 50% female). Barriers to medication adherence were organized along these COM-B domains: psychological capability (forgetfulness, distractions, fear of side effects), physical opportunity (inaccessible medications, inability to renew prescriptions), reflective (burdening family members), and automatic motivation (medication fatigue, health decline). ConclusionsTailored text messaging and mobile phone apps were perceived as helpful tools for medication adherence. The COM-B model was useful to provide a comprehensive, theory-driven evaluation of patients' beliefs and motivations on whether to engage in medication adherence. InnovationTo date, text messaging and mobile applications have not been widely implemented in the clinical setting and provide a major opportunity to innovate on approaches to address medication adherence.

Plant Monitoring Using a Web-View-Based Android Application as a Realization of the Implementation of the Smart Agriculture Concept

The concept of Smart Farming has been adopted by utilizing microcontrollers, sensor devices, and actuators to regulate plant conditions. However, the communication methods with farmers, such as text messaging applications, are considered ineffective due to their limited features, and farmers cannot control monitoring devices. To address this issue, we developed a web-view-based application named Prospherine Smart Farming using PHP, Java, and MongoDB. The Software Development Life Cycle (SDLC) methodology was employed to ensure the proper functioning of the application. This application has comprehensive features that enable farmers to control monitoring devices, even remotely, and provide continuous information about farming conditions. Testing was conducted to ensure that all features functioned properly, and feedback was obtained from farmers. The research results indicate that using the Prospherine Smart Farming Application positively impacts farming activities. With this application, farmers can monitor their farming conditions in real-time and take necessary actions to enhance crop yields. The Prospherine Smart Farming Application can potentially improve agricultural efficiency and assist farmers in tackling challenges in the digital era.

A Pilot Study to Establish the Leadership Development Needs of Community Pharmacist Leads in Lambeth, South East London.

Primary care networks (PCNs) are geographical networks consisting of 30,000 to 50,000 patients and groups of general practices working in a multidisciplinary team, including community pharmacists. Community pharmacy (CP) neighbourhood leads act as a conduit between pharmacy contractors and general practitioners (GPs) in these networks, sharing information and providing a voice for the community pharmacy locally. The Lambeth medicines team (NHS South East London Integrated Care Board) recognised the need to continue funding these leadership roles to address barriers to relationship-building between community pharmacies and general practices, the consistency of service delivery and effective communication. The aim of this study was to understand the current experience of CP neighbourhood leads to inform their further development. All eight CP neighbourhood leads individually completed a semi-structured interview over Microsoft Teams, which was then reviewed using content analysis. Ethical approval was received. Leads reported the use of common communication methods such as emails, text messaging applications and telephone calls to engage GPs and pharmacies in their neighbourhoods. Barriers to undertaking their roles included time constraints, delays in responses, high workloads and competing pressures. Other factors impacting their effectiveness and ability to undertake their roles included the scheduling of meetings outside of working hours, finding time during busy working days and organising locum cover on an ad hoc basis. The leads also reported they spent more time focussed on building relationships with their peers and less time focussed on general practice colleagues. Support for CP neighbourhood leads could include ensuring that funded time is protected; communication and technology training; and the provision of more structural support for communication with GPs. The findings of this study can be used to inform future work.

Provider and administrator attitudes and experiences with implementing telebuprenorphine during the COVID-19 pandemic: a mixed-methods survey

ABSTRACT Introduction This mixed-methods study assessed buprenorphine provider and administrator perceptions and experiences in offering telebuprenorphine during the COVID-19 pandemic. Methods Semi-structured interviews were conducted between June 2021 and September 2021 among telebuprenorphine providers and administrators (N = 16) and assessed for program design and implementation strategies, clinical workflow, patient-level factors influencing program entry and retention, and challenges and solutions to improving clinical care. Results Clinician (n = 15) and administrator (n = 1) participants identified changes to clinical workflow, including increased administrative tasks to confirm patient receipt of prescribed medications, completion of referrals to community- or specialty treatment, and locating available pharmacies and laboratory services. Challenges consisted of staff redeployment to COVID-19 related responsibilities, prior authorization requirements for buprenorphine prescriptions, billing structures that under-reimbursed for telephone or video visits, and concerns with changes in government regulations. Strategies to improving telebuprenorphine included offering “hotlines” to facilitate same-day visits, expanding between-visit support, establishing workflows with community pharmacies to ensure seamless dispensing of buprenorphine, co-location of behavioral health providers, and distributing donated mobile phones to patients. Suggested technologies for enhancing care included text messaging (75%) and smartphone applications (56.3%). Conclusions Findings from this study highlight considerable heterogeneity in the delivery of telebuprenorphine services.

A Rapid Review of the Impact of Family-Based Digital Interventions for Obesity Prevention and Treatment on Obesity-Related Outcomes in Primary School-Aged Children.

Virtual delivery of obesity prevention and treatment programs may be effective for supporting children and families to adopt healthy lifestyle changes while enhancing program accessibility. This rapid review aimed to summarize the impact of family-based digital interventions for childhood obesity prevention and treatment. Four databases were searched up to February 2021 for trials of interactive digital programs aimed to prevent and/or treat obesity in children aged 5-12 years and reported diet, physical activity, sedentary behavior, sleep, or weight-related outcomes in children. A total of 23 publications (from 18 interventions) were included. Behavior change theories were used in 13 interventions with "Social Cognitive Theory" applied most frequently (n = 9). Interventions included websites (n = 11), text messaging (n = 5), video gaming (n = 2), Facebook (n = 3), and/or mobile applications (n = 2). Studies reported changes in body mass index (BMI; n = 11 studies), diet (n = 11), physical activity (n = 10), screen time (n = 6), and/or sleep (n = 1). Significant improvements were reported for diet (n = 5) or physical activity (n = 4). Two of the six interventions were effective in reducing screen time. Digital interventions have shown modest improvements in child BMI and significant effectiveness in diet and physical activity, with emerging evidence supporting the use of social media and video gaming to enhance program delivery.

Android-Based Short Message Service Filtering using Long Short-Term Memory Classification Model

Short Message Service (SMS) is a technology for sending messages in text format between two mobile phones that support such a facility. Despite the emergence of many mobile text messaging applications, SMS still finds its use in communication among people and broadcasting messages by governments and mobile providers. SMS users often receive messages from parties, particularly for marketing and business purposes, advertisements, or elements of fraud. Many of those messages are irrelevant and fraudulent spam. This research aims at developing android-based applications that enable the filtering of SMS in Bahasa Indonesia. We investigate 1469 SMS text data and classify them into three categories: Normal, Fraudulent, and Advertisement. The classification or filtering method is the long short-term memory (LSTM) model from TensorFlow. The LSTM model is suitable because it has cell states in the architecture that are useful for storing previous information. The feature is applicable for use on sequential data such as SMS texts because every word in the texts constructs a sequential form to complete a sentence. The observation results show that the classification accuracy level is 95%. This model is then integrated into an Android-based mobile application to execute a real-time classification.

Lessons from +LOVE, Improving HIV Care for Black Men Who Have Sex with Men in New Orleans Using an Integrated Behavioral Health Crisis Support Model of Care.

Black men who have sex with men (BMSM) experience higher rates of HIV infection than other groups. They also face disparities in linkage and retention to HIV care, as well as in viral suppression. To address the needs of the BMSM population living with HIV, we developed a novel intervention program (+LOVE), which integrated case management with behavioral health/crisis support. The intervention consisted of (1) a dedicated therapist; (2) an SMS (text message)-based engagement program, CareSignal that provided medication reminders and administered routine ecological momentary assessments (EMAs); (3) a triage crisis coordinator to respond to alerts generated by the EMA responses; and (4) a case manager. This study assessed the additional impact of the first three components of the intervention (a dedicated therapist, text messaging application, along with a triage crisis coordinator), compared with the fourth component alone, the current standard of care (a case manager) on access to HIV care, antiretroviral therapy (ART) adherence, and viral suppression. Analyzing electronic medical record data, survey data, and EMA response data extracted from CareSignal, we found that those who engaged in the behavioral health therapy had higher odds of remaining in HIV care than those who only engaged with the case manager. We also found that increased engagement with CareSignal led to an increased probability of achieving positive HIV-related health outcomes. Our results suggest that an integrated behavioral health/crisis support model of intervention integrated with case managementincreased positive outcomes over case management alone.

Impact of the absence of dental support on cancer patients during COVID-19 pandemic: a cross-sectional study.

PurposeThis study identifies the impact of the absence of dental support for patients with cancer whose clinical dental care was interrupted by the coronavirus disease 2019 (COVID-19) pandemic.MethodsIndividuals with oncologic diseases were selected from a telephone list of a Clinical Research Center (CRC) that specialized in the care of patients with cancer at the Bauru School of Dentistry, University of São Paulo (FOB/USP). The convenience sample comprised 280 patients (aged > 18 years) with a history of cancer that underwent dental treatment at the FOB/USP CRC in 2019 and did not receive care in 2020 owing to the pandemic. The participants completed a questionnaire sent via email or a text messaging application. Individuals receiving treatment or who were already treated for cancer were divided into two groups for data tabulation. Statistical analyses were performed using Fisher’s and chi-square tests.ResultsOf the 280 patients, 104 answered the questionnaire, and 75 (72.1%) were women. Among the women, 45 (60.0%) were receiving antineoplastic treatment, and 30 (40.0%) had already been treated. Among the men, 15 (51.7%) were receiving antineoplastic treatment, and 14 (48.3%) had already been treated. Regarding oral problems that arose during the pandemic, dental pain when eating hot or cold food or drinks (57.0%), muscle pain (53.8%), and difficulties when chewing (51.0%) were the most common reported among patients. Furthermore, most individuals reported not having received any type of remote dental follow-up, before being contacted by our team, which could contribute to reducing these oral problems.ConclusionIt is impossible to say whether the absence of dental support in cancer patients during the coronavirus disease 2019 (COVID-19) pandemic had a negative impact on oral issue rates.

WhatsApp in Sierra Leone Politics: Burning Bridges or Building Them?

The text messaging application WhatsApp has been heavily criticized for acting as a vehicle for the spread of misinformation and unsubstantiated rumor, leading, in some parts of the world, to violence and even death. But the closed nature of WhatsApp groups has presented a structural problem as a subject for credible social science research. A collaborative project between the Universities of Bedfordshire (UK) and Sierra Leone has tracked messaging in an experimental student WhatsApp group using critical discourse analysis in order to generate a deeper understanding of discursive influences in a fragile society. It asks whether the affordance of a WhatsApp group necessarily amplifies offline polarizations and explores routes to consensuality in a divided post-conflict state. It concludes that more robust interventions by group administrators could foster free speech while avoiding the need for intrusive regulation from outside agencies.

Contextual emotion detection on text using gaussian process and tree based classifiers

It is challenging for machine as well as humans to detect the presence of emotions such as sadness or disgust in a sentence without adequate knowledge about the context. Contextual emotion detection is a challenging problem in natural language processing. As the use of digital agents have increased in text messaging applications, it is essential for these agents to provide sensible responses to its users. The present work demonstrates the effectiveness of Gaussian process detecting contextual emotions present in a sentence. The results obtained are compared with Decision Tree and ensemble models such as Random Forest, AdaBoost and Gradient Boost. Out of the five models built on a small dataset with class imbalance, it has been found that Gaussian Process classifier predicts emotions better than the other classifiers. Gaussian Process classifier performs better by taking predictive variance into account.

Visual Resources for Postoperative Care to Overcome Language and Cultural Barriers.

Visual Resources for Postoperative Care to Overcome Language and Cultural Barriers.

Comparative Effectiveness of Enhanced Patient Instructions for Bowel Preparation Before Colonoscopy: Network Meta-analysis of 23 Randomized Controlled Trials.

BackgroundVarious enhanced patient instructions (EPIs) have been used for bowel preparation (BP) and our previous meta-analysis also demonstrated the efficacy of EPIs in increasing the colonic polyp and adenoma detection rates; however, the optimal method for adequate BP has not yet been developed.ObjectiveWe performed a network meta-analysis to determine the optimal instructions.MethodsWe searched for randomized controlled trials (RCTs) comparing the effectiveness of EPIs with each other or standard patient instructions (SPIs) for BP. We performed direct and Bayesian network meta-analyses for all instructions and used the GRADE (Grading of Recommendations Assessment, Development and Evaluation) criteria to appraise the quality of evidence.ResultsWe included 23 RCTs (7969 patients) comparing 10 different instructions. In direct meta-analyses, most of the EPIs, except visual aids and mobile apps, increased the adequate preparation rate (APR). Network meta-analyses showed that additional explanations were superior to visual aids (odds ratio [OR] 0.35, 95% CI 0.19-0.59), telephone calls (OR 0.62, 95% CI 0.37-0.99), educational videos (OR 0.79, 95% CI 0.5-0.77), and mobile apps (OR 0.33, 95% CI 0.14-0.68) with low-to-high-quality evidence; newly designed booklets (OR 3.28, 95% CI 1.59-6.16), SMS text messaging (OR 2.33, 95% CI 1.28-3.91), telephone calls (OR 1.86, 95% CI 1.03-1.78), educational videos (OR 2.33, 95% CI 1.40-3.65), and social media applications (OR 2.42, 95% CI 1.4-3.93) were superior to visual aids and mobile apps with low-to-high-quality evidence. SMS text messaging, telephone calls, and social media applications increase adherence to and satisfaction with the BP regime. Social media applications reduce the risk of adverse events (AEs). Telephone calls and social media applications increase the polyp detection rate (PDR).ConclusionsNewly designed booklets, telephone calls, educational videos, and social media applications can improve the quality of BP. Telephone calls and social media applications improve adherence to and satisfaction with the BP regime, reduce the risk of AEs, and increase the PDR.Trial RegistrationINPLASY (International Platform of Registered Systematic Review and Meta-analysis Protocols) INPLASY2020120103; https://inplasy.com/inplasy-2020-12-0103/

37.6 Evaluating the Benefit and Challenges of SafeUT With Reducing Bullying in Utah Schools

Bullying is prevalent in US schools and contributes to mental health problems, but only one-third of bullying victims report it. One barrier to reporting is lack of access to a reporting method. SafeUT is a free text-messaging application available throughout Utah. In addition to 24/7 crisis-line features, SafeUT allows users to submit confidential tips to school administrators about bullying, school threats, or violence. SafeUT is promoted within Utah schools, and as of March 2019, all public middle and high schools in Utah had distributed it. We report results of a survey designed to assess rates of bullying reporting in Utah schools and to evaluate the effect of SafeUT on the rate of bullying reports. A survey was distributed to schools enrolled in SafeUT. Administrators were provided a link with a parental consent and a student survey and were asked to email it to parents. Surveys were anonymous. Students were compensated for survey completion. A total of 67 schools in 12 Utah counties were enrolled, representing 50,660 students; 0.6% (n = 304) completed a survey. Forty-four percent of participants reported being bullied at least once during the 2019-2020 academic year. Of those, 4% (6) said they used SafeUT to report it, while 92% (123) reported that they did not report it at all. Students who were bullied described a variety of reasons for not using SafeUT to make reports: 53% did not know about SafeUT, 28% did not think it would be helpful, 7% had concerns but did not want to seek help from SafeUT, 5% found other help, 3% did not have a smartphone, and 3% did not have access to the app when needed. Of all respondents, 26 students reported having submitted a tip for any reason, and of those, 30.7% (8) reported having submitted a tip related to bullying. Only 11% of participants had ever used SafeUT for any reason. Our findings highlight the difficulties in assisting students who are bullied. Low reporting rates here are consistent with other settings. Although SafeUT aims to address barriers to reporting, it is being underutilized in Utah schools. Findings were limited by the low response number.

Digital Technology in Dental Education During COVID-19 Pandemic: Worldwide Experience of Professors and Students

The objective of this study was to assess the use and experience with digital communication tools among dentistry professors and students to adapt to distance learning during the Covid-19 pandemic. Nine hundread and ninety five participants (479 dentistry professors and 516 students) from countries in North America, Latin America, Brazil, Europe, Asia, Oceania, and the Middle East answered a questionnaire about motivation/stress/anxiety; practice with digital technologies; synchronous/asynchronous communication technologies (difficulties/benefits), and which ones would they prefer using when returning to college. Data were analyzed by the Chi-square test and Fisher's exact (α=0.05). Motivation was more affected among the female professors, male students, and Brazilians (p<0.05). Concern about the academic future, was higher among female students, up to 30 years old, from Latin America and Brazil, and lower for European professors (p<0.05). Anxiety and stress were higher for undergraduate students up to 20 years old from Latin America and Brazil (p<0.05). European professors used more synchronous videoconferencing services for lectures/questions, while Brazilians used more text messaging applications for answering questions (p<0.05). Latin American professors used more surveys for evaluation (p<0.05). Brazilian professors indicated that they would use "online meetings" and "survey administration services" when returning to face-to-face activities and European professors/students would use "email" (p<0.05). Professors from Asia/Oceania/Middle East and professors/students from Brazil indicated "remote activities were important for students not to be inactive" (p<0.05). Efforts were made to adapt Dentistry's teaching to distance learning during the COVID-19 pandemic. However, the technologies used for this, feelings, and experiences differed between professors and students.