This study investigates the effects of nighttime technology use on researchers’ sleep quality and psychological wellbeing at the University of Sharjah, UAE. Utilizing a descriptive qualitative research design, the study engaged participants through semi-structured interviews to explore their perspectives on nighttime technology use. Thematic analysis of the interview data revealed three main emergent themes: (1) "Risk and Protective Factors of Nighttime Technology Use and Sleep Disturbances," (2) "Technostress and Psychological Wellbeing," and (3) "Protective Strategies: Researchers’ Perspectives." The findings offer some insights into the effects of nighttime technology use on researchers’ sleep quality and psychological wellbeing. These insights can help develop programs aimed at improving work-life balance for researchers, emphasizing the importance of mental health and self-care in high-pressure academic environments.

Diseases of the heart and blood vessels are one of the most common causes of death worldwide, and early detection is crucial to prevent fatalities. Classical machine learning models tend to be inefficient as they are based on dense numerical computations and ignore the temporal features present in biological signals. This paper introduces a new application of Spiking Neural Network SNNs, a bio-inspiration model of deep learning, to predict heart attack risk on clinical data. The data (from Kaggle) includes patients' cholesterol levels, ECG results, and oxygen saturation. We modeled biologically plausible spike trains with Poisson-based temporal encoding, and trained the network's weights with Leaky Integrate-and-Fire (LIF) neurons. Particle Swarm Optimization (PSO) was applied to fine-tune the architecture parameters. The approach obtained an accuracy of 84.6% and an F1 of 86%, and the AUC was 0.89. This indicates that SNNs can be considered alternatives to classical models that provide effective and interpretable solutions for clinical DSSs.

Tele-ICU nursing extends critical care expertise to remote ICU teams via telecommunication technologies. Historically introduced in the 1980s, Tele-ICU has demonstrated improved patient outcomes, reduced mortality, and optimized resource use. However, limited adoption in Saudi Arabia stems from the lack of standardized training, minimal nurse certification, insufficient infrastructure, and unclear policies. Although telehealth initiatives under Vision 2030—such as the SEHA Virtual Hospital—present opportunities to expand Tele-ICU, further research is needed to address challenges related to technology, nurse perceptions, and the long-term impact on patient outcomes and costs. Collaborative communication strategies and structured training programs can foster trust between Tele-ICU and bedside teams, facilitating better integration. By leveraging national telehealth efforts and enhancing nurse competencies, Tele-ICU services can advance critical care delivery, achieve greater equity of coverage, and ultimately align with Saudi Arabia’s healthcare transformation objectives.

Documentation is an integral part of nursing care because it is a legal aspect and is the responsibility and liability of the care provided to patients. The development of nursing documentation by playing technology in nursing care services will impact nurses’ ability to carry out nursing actions. The purpose of this study is to describe the use of technology in documenting nursing records. The method used is scoping reviews by searching for relevant articles using keywords. The inclusion criteria in this review are the results of the study measuring or analyzing the use of technology in nursing care documentation, the participants in the survey are nurses who use technology in documenting their care, the research uses the quasi-experiment method, site study, mixed methods, cross-sectional, innovation project, the year of publication of the study in the period of 2018-2023 and, the research in English. The results in the review include two articles that show research on the perception of good nurses in the use of nursing care documentation, and three articles have effective results in the use of technology in nursing care, namely the use of Patient Condition Adaptive Path System (PCAPS), Automated Data Entry Process Technology (ADEPT), and Omaha system in electronic health records. An adequate system is related to the nurse process in carrying out nursing actions, conceptually, entering data, and integrating nursing care documentation.

This study investigates the experiences, challenges, and opportunities presented by ChatGPT AI in health sciences education, focusing on self-directed learning among students and educators at the University of Sharjah, UAE. Utilizing a descriptive qualitative research design, the study engaged participants through semi-structured interviews to explore diverse perspectives on ChatGPT's application in health sciences education. Results indicate mixed reactions: while users appreciate ChatGPT for its efficiency in academic tasks, concerns were raised about its offline functionality, linguistic inclusivity, ethical considerations, and potential impact on learning integrity and skill acquisition. Non-users expressed apprehension towards dependency on AI, diminished learning engagement, and academic dishonesty. The study concludes that while ChatGPT offers significant benefits in terms of resourcefulness and efficiency, its integration into educational settings necessitates careful consideration of accessibility, ethical standards, and the maintenance of academic integrity. These findings underline the need for a balanced approach to adopting AI technologies in education, highlighting the importance of addressing both the opportunities and challenges they present to foster an enriching learning environment.

The COVID-19 pandemic significantly disrupted dental education, hindering hands-on exposure to cutting-edge dental practices and advanced equipment worldwide. Amidst these challenges, the emergence of Metaverse-based learning has presented an innovative solution, fulfilling the growing need for remote educational opportunities in dentistry. Traditional online learning platforms like Zoom have proven inadequate for providing a comprehensive learning experience in dentistry, prompting a shift towards more engaging, immersive educational settings. This trend is especially evident in the dental education sector in the United Arab Emirates (UAE). This research delves into dental students‘ perceptions of how Metaverse technology aids in achieving their educational objectives within the UAE. Our analysis focuses on crucial factors that influence technology adoption, particularly ‘Perceived Value’ and ‘Perceived Satisfaction’. We collected a substantial dataset of 89 responses from the College of Dental Medicine (CDM) at the University of S harjah. To rigorously examine our research model, we applied Partial Least S quares-Structural Equation Modeling (PLS -S EM) and an advanced Machine Learning (ML) technique, based on data from our student survey. Our results highlight the Metaverse's critical role in guiding technology adoption decisions, strongly driven by ‘Perceived Value’ and ‘Perceived Satisfaction’. Remarkably, the ML method demonstrated higher predictive accuracy in identifying the outcome variable compared to other analysis techniques. This research contributes to the scholarly conversation on artificial intelligence, especially its relationship with environmental sustain ability, offering valuable insights for industry stakeholders, policymakers, and AI developers. The findings lay the groundwork for de veloping AI-powered solutions aligned with user preferences and environmental co n si de rati o n s.

With the increasing elderly population, healthcare systems are facing a crisis in providing 24/7 assistance to seniors. Voice-enabled robots can serve as assistants and companions for seniors. Many voice and chat systems, such as Alexa, Siri, and Google, have emerged and become the top consumer brands. However, a significant gap still exists in making these systems mimic human-like conversation. Most of these systems lack empathy and cannot understand users' expressions and intent in delivering information as expected by users. Studies have shown that seniors struggle to effectively communicate with the existing voice conversation systems, leading to a stigma around technology acceptance. In this pilot project, we explore existing literature to identify the key challenges and the types of care that seniors need, and present a personalized voice communication system that can remind about tasks such as taking medication and doing health checks; answer predefined questions about personalized routines and medications; launch specific applications such as the contactless wellness monitoring application “Veyetals”, “Uber” or a music plugin, and answer basic questions from a pre-defined Frequently Asked Questions (FAQ) database. We extend existing voice bots to develop the Assist-Bot to serve as a voice-enabled assistant for nontechnical seniors. Caregivers can configure medication and check-up schedules, and contact numbers for different needs.

During the COVID-19 pandemic, the traditional emergency healthcare systems faced unprecedented strain due to the sharp rise in demands for urgent care, scarcity of resources, and increased risks of people getting infected while waiting at the emergency care facility. We present Triage-Bot, an online medical triage provisioning service, that can revolutionize emergency care by decreasing the load on emergency departments (ED), reducing healthcare expenses, and improving the quality of care. Empowered by artificial intelligence and natural language processing, the Triage-Bot service assesses and prioritizes patients' needs based on symptoms, medical history, and perceived conditions from multimodal video, audio, and text data captured during patients' interactions. The captured summarized information with a severity ranking is sent to a human expert to suggest the next action on the user's part. The diverse data types used by the Triage-Bot in communication, authentication, data collection, storage, and analytics requires a robust and scalable system architecture for online service provisioning. In this paper, we specifically focus on the system design and architecture of the Triage-Bot for emergency healthcare settings. With integrated electronic medical records (EMR) and online platforms, the bot fosters collaboration among healthcare professionals and enables swift and informed decision-making even in the face of crises. By partially automating and offering a hybrid triage process, the Triage-Bot improves resource allocation, reduces healthcare management costs for emergency care, minimizes patient waiting times, and improves wellbeing. To address the complexities and demands of healthcare data management, our proposed system incorporates MongoDB database for flexibility, scalability, and versatility in supporting different types of data. Additionally, we implement a data linking and analytics pipeline utilizing a data Lakehouse system to effectively ingest, manage, process, and generate knowledge from heterogeneous data sources.

The CHAMPS Tool is designed to assess the risk of falls among children based on factors such as mental status, history of falls, age, mobility issues, parental involvement, and safety measures. The current study aimed to evaluate nurses' perception of the CHAMPS Tool in the pediatric ward of Hermina Hospital, which is prone to falls. The research involved 30 nurses from the pediatric ward and ICU/PICU of the hospital. The study used a descriptive-analytical research design and a questionnaire instrument to collect data. The validity testing showed that 13 out of 18 statements were valid, and five invalid statements were dropped. The reliability test using Cronbach's Alpha was 0.784 > 0.6. The data analysis used univariate frequency distribution analysis. The study found that all nurses who participated positively perceived the CHAMPS Tool, as they obtained a questionnaire score of ≥39.

Originally developed for aerospace engineering, the Kalman Filter, a mathematical algorithm, has proven to have a novel application in mental health, providing a potential instrument for prediction, monitoring, and personalized treatment of mental health conditions. This paper investigates the theoretical underpinning of the Kalman Filter comparing its application in dynamic systems with the intricate, changing nature of mental health. We analyze the potential of the Kalman Filter to transform mental health care by supplying a quantitative, model-based way of comprehending the complex interaction of biological, psychological, and social factors that determine an individual's mental condition. The Kalman Filter holding promise for mental health interventions to be made more efficient and responsive is illustrated by mood prediction and monitoring, personalized treatment, and cognitive behavioral modification applications. Yet, the issues connected with data confidentiality, the difficulty in human behavior modeling, and the link between qualitative and quantitative data are also considered. The paper ends by covering future perspectives that among other things stress further research aimed at fine-tuning the algorithm's applicability in mental health care and providing a grounding for insights into its possibility to contribute to a more adaptive, personalized and efficient approach to treatment. This investigation at the crossroads of the advanced math theory and mental health care demonstrates the innovative use of the Kalman Filter and provides a promising direction for the future research and practical application in this area.

Background: The development of communication and information technology can positively impact healthcare services. E-puskesmas (E-Public Health Center) is an application developed to meet the needs of digital data recording at Puskesmas (PHC). Objective: This study explored the application of e-Puskesmas in the Public Health Center in Luwu Regency, South Sulawesi, Indonesia. Method: This study used a descriptive qualitative research approach with semi-structured interviews. The participants in the study were 16 Puskesmas (PHC) staff members who were selected via the purposive sampling method. Data analysis adopted a thematic analysis approach. Results: We found in this study that there are three interrelated main themes: (1) Experiences of e-puskesmas implementation, (2) Barriers of e-puskesmas implementation, and (3) Facilitators of e-puskesmas implementation. Conclusion: The study findings indicated that the application of e-Puskesmas in terms of human resources, organization, and technology has not been optimal. There were still some obstacles to e-Puskesmas implementation. A joint commitment is still needed between the health office and the public health centers to overcome the barriers or challenges of e-Puskesmas application in PHC.

Utilizing the Hospital Information System (HIS) facilitates the implementation of quality improvement strategies for hospital services. EMR contributes to service development by facilitating quality, sustainable, integrated, and efficient health care. Objective: This study explored the experience of EMR users in a private hospital with a descriptive qualitative research design. Method: Researchers selected 20 participants and conducted semi-structured interviews with interview guidelines. A descriptive qualitative approach with a thematic analysis was used for data analysis. Results: We found three interconnected main themes: (1) Benefits of implementation of MRE, (2) Barriers to implementation of MRE, and (3) Facilitators to implementation of MRE. Each theme included several subthemes. Conclusion: Aspects such as hardware, finance, human resources, technical support, leadership, and training all contribute to the success of an EMR implementation. EMR facilitates information accessibility, improves the completeness of medical records, and increases the efficacy of the communication process. Hospitals derive immense benefits from EMR implementation; therefore, to achieve high-tech hospitals, the EMR implementation process must maximize the participation and engagement of organizational members under the guidance of strong leadership-several challenges with EMR implementation. Confidentiality must be considered when evaluating EMR security hazards and access rights involving usernames and passwords for logging in and out. According to participants, one of the difficulties of implementing EMR is related to its management.

INTRODUCTION: During COVID-19 pandemic, Telehealth was crucial to the delivery of healthcare services. it is expected that even after the pandemic is almost over, providers will probably start using telehealth on a regular basis as we transition to the “new normal.” Therefore, it is crucial to identify and resolve any discrepancies in telehealth’s effectiveness and accessibility. OBJECTIVES: Examine disparities in telehealth access and explain how frequently OB-GYN patients used telehealth during the first four months of the COVID-19 pandemic according to race/ethnicity and insurance status. METHOD: A cross-sectional design was used including a convenience sample of 9370 women who received telehealth or in-person care. RESULTS: 15,362 encounters were completed in total. 81.34% of appointments were held in person throughout the study’s time period, and 18.66% were managed by telehealth. The majority of the patients had private health insurance (n = 975, 52.4%) and were Caucasian (n = 1202, 63.4%). Compared to patients of other races, patients of Hispanic and Asian descent were less likely to attend their telehealth appointment (p< 0.001). Patients with private health insurance were more likely than those with public health insurance to show up for their telehealth appointments (p< 0.001).CONCLUSION: This study demonstrates that underserved populations, including individuals of color, those with public insurance, and others, must have greater access to and utilization of telehealth services.

Introduction: Telehealth technology and its use are not new to the field of medicine in general and OB in particular. To reduce the potential risks, make telehealth more feasible, and reduce the costs associated with its rapid adoption, it is essential to establish high-quality, evidence-based procedures for OB services. Aims: This qualitative study explored patients’ experience of receiving obstetrics and gynecological treatment via telehealth. Methods: We adopted a qualitative design. We recruited 18 women receiving care at the obstetrics and maternal and fetal medicine clinics at UMass Memorial Medical Center, Massachusetts. Semi-structured interviews were conducted and data was analyzed using qualitative thematic analysis. Results: The participants’ experience of using telehealth services emerged from the data in three themes: the experience of using modern telehealth platforms, telehealth and its perceived benefits, and telehealth and its perceived challenges. Conclusion: The overall positive experiences and consistent perceived benefits reported by most participants suggest that telehealth can be an important tool in the healthcare delivery for certain patients and situations in a post-pandemic world. This study highlighted several challenges that need to be addressed for telehealth to achieve maximum effectiveness and functionality in the future.

The pattern of the COVID-19 pandemic has affected many aspects of students’ lives, including their physical, social, and mental well-being. This study aimed to examine the association between virtual learning and feelings of depression among a sample of university students in the Emirate of Sharjah, UAE. Using a descriptive, cross-sectional study design, quantitative data were collected from undergraduate students by means of online surveys. To assess the levels and prevalence od depression among university students, the Zung Self-Rating Depression Scale was used. Our findings revealed that there were statistically significant associations between the individual characteristics and levels of depression in terms of academic level (p < .001), place of residence (p < .001), screen time during virtual learning (p = .019), and mode of course delivery in the spring semester of 2021–2022 (p = .006). Although virtual learning has become a necessary feature of all educational institutions, more attention needs to be paid to its psychological impact.

Cyberchondria is a distinct behavioral syndrome that is closely related to health anxiety/hypochondria and excessive online searching for health information and/or digital self-tracking. Despite the reported prevalence of self-medication, cyberchondria research is still in its infancy in Bangladesh. We investigated the relationship between Cyberchondria and self-medication among adults. This was a cross-sectional study conducted with 480 individuals who had internet access and who can read both Bangla and English. The Cyberchondria Severity Scale and the self-medication perception Questionnaire were applied to the participants. Univariate and hierarchical multiple linear regression analyses were used to analyze the data. Of the study group 283 (59%) were male, and 197 (41%), were female. Their ages ranged from 18 to 40 years, with an average of 25.1 (± 5.97) years. The positive perception of self-medication was prevalent in 279 (58.1%) adults. Cyberchondria and perception of self-medication were positively related and in the final model self-medication, age and residence were found to be the significant determinants of cyberchondria. Positive perception of self-medication practice may be a potential risk factor for Cyberchondria. People's health-related actions can be influenced by their cyberchondria behavior, so it's crucial that online health resources are safe. Cyberchondria is a mental health disorder, and this study's findings could inform future research into the causes of this condition.

Background: The rapid development of technology has resulted in various advanced innovations. Many of these innovations have important applications in the healthcare industry. One of these innovations is the robotic technology that is used to assist in patient care in the intensive care unit (ICU). Objective: This study aims to describe the perspective of nurses on the use of robotic technology in patient care in the intensive care units (ICU). Method: A descriptive qualitative approach was used in this study. The research participants were 10 ICU nurses who were selected by the purposive sampling method. Data was collected through interviews following the interview guidelines. Data were analyzed using a thematic analysis approach. Results: This study found three main themes related to nurses’ perspectives on the use of robotic technology in ICU: (1) Excellent opportunity; (2) some drawbacks, and (3) feeling short of skills sometimes. Conclusion: The use of robotic technology in patient care in the ICU has both positive and negative effects. The use of robots is important to maximize the contribution of nurses in providing core nursing care to patients and families. However, this technology may dehumanize care and decrease instances f therapeutic interactions between nurses and their patients and families. Finally, to maximize benefits nurses need support and training related to the operation of robotic technology in the intensive care unit and its optimal use.

Massive amounts of data describing the genomic, transcriptomic, and epigenomic features of many different cells are produced by single-cell omics approaches. Artificial intelli- gence (AI) models are widely used to infer biological informa- tion and construct predictive models from these data due to their adaptability, scalability, and remarkable success in other disciplines. Low-dimensional representations of single-cell omics data, batch normalization, cell type classification, trajectory inference, gene regulatory network inference, and multimodal data integration have all seen a recent surge in innovation thanks to machine and deep learning. We provide a survey of recent developments in machine learning (ML) algorithms intended for analysis of single-cell omics data to aid readers in navigating this rapidly-evolving literature.

Medical technologies bolstered by AI are quickly developing into viable options for actual clinical use. Wearable, smartphones, and other mobile monitoring sensors are producing vast amounts of data that can be processed by deep learning algorithms in a variety of medical settings. Patients are eager for augmented medicine to be implemented because it will give them more control over their care and allow them to receive more tailored treatment, but doctors are hesitant to embrace the shift because they are not equipped to deal with the resulting changes in clinical practice. In addition, this phenomenon raises the questions of whether or not these cutting-edge tools should be validated by conventional clinical trials, whether or not medical schools should update their curricula to reflect the rise of digital medicine, and whether or not the ethics of constant connected monitoring should be taken into account. The purpose of this paper is to explore the current research literature and offer a holistic view of the implications of well-established clinical applications of artificial intelligence on medical professionals, hospitals, medical schools, and bioethics.

During the recent COVID-19 pandemic, healthcare services in primary healthcare centers as well as hospitals were disrupted. To cope with this condition and mitigate the effects of this pressure on the system on patients with critical chronic illnesses, the country adopted the use of telemedicine to deliver much-needed services to this in-need population of patients. Telehealth has the potential to significantly increase patient access to medical treatment in remote places and other settings with a shortage of clinicians. This report proposes the development of telehealth programs and policies in Jordan due to its potential to improve individual and community health. However, it is necessary to create and implement telehealth interventions that are tailored to the needs of individual patients and the community.

Introduction The development of internet technology and information and smartphone applications is progressing very rapidly. ON the other hand, accumulating evidence is indicating that excessive use of smartphone can cause mental and emotional health problems among adolescents. Objectives: The purpose of this study was to investigate the association between adolescent smartphone addiction and psychological and emotional health in Indonesia. Methods: This study used a cross-sectional correlational design. The study respondents were 350 adolescents aged 10-22 years and were selected through the convenience sampling method. Data were collected using the adapted and validated psychological wellbeing scale and the Smartphone addiction scale. Results: The study using Kendall's method indicated a significant correlation between the study variables (Sig. = 0.001). The correlation coefficient is -0.255, which denotes a negative, and weak to a moderate relationship. Discussion: Adolescents should exercise, attend school, and volunteer more. During unstable adolescent growth, parents must lead their children, and explain rules and conventions. Adolescents should be encouraged and directed to do more exercise, extra-school activities, and volunteer work among others. In this study it was apparent the issue of technology addiction and its possible negative effects on adolescents9emotional and mental well-being, therefore individual, group, and community interventions and assertive behavior techniques are needed to decrease adolescent smartphone addiction. Interventions such as group mentoring, counseling, and cognitive behavioral therapy could be useful in this area.

Introduction: The spread of the COVID-19 pandemic has overwhelmed the overall world causing not only a health crisis but affecting multiple industries and institutions like businesses, health care, transportation, economy, tourism, employment, and foremost education and students regardless of their age and educational level (Anaya, 2020). Students of almost all countries all over the world confined to those attending school online are currently facing lots of challenges and opportunities. we have decided to initiate such a research study focusing on the online learning experience since it has taken over the traditional learning pattern causing a lot of challenges and many more opportunities to students. Objective: To explore and grasp the challenges and opportunities of online learning that are encountered by University of Sharjah students. Results: The majority of the students (59%) found that online learning has affected their academic performance and 45% felt it was extremely stressful. 75% of students had concerns about their health & financial status. Around 43% do not feel engaged in their online course. 68% prefer paper-based exams. During in-depth interview most statements included “it's hard to stay motivated while you're at home as you can always get distracted”, “not as effective as traditional classes”, “I dread online learning; I'm not used to it … it's a very bad experience. Conclusion: Based on the results acquired the online learning experience was not the best experience for the university of Sharjah students a lot associated online learning with a very bad and stressful experience, many issues were addressed in the discussion regarding the technical issues, lack of face-to-face communication, lack of appropriate study environment, lack of motivation and passion for studying and keeping up with online courses and a lot more.

Medical technology advances quickly, and new machines are introduced into the industry on a regular basis. The impact of technology on healthcare providers' attitudes toward family members in critical care settings is investigated in this paper. Given the modern technology environment of critical care, multiple studies have indicated that many healthcare personnel place a greater emphasis on technology than on contact with patients or family members. Because of this emphasis on technology, critical care specialists may overlook other parts of care, such as family-centered care. This could also explain why critical care workers are averse to allowing family members to participate in operations like CPR.

Introduction: Many adolescents have ready access to the Internet. The Internet allows most needs related to communications, banking, education, and various other fields to be achieved regardless of time and location. Although this makes daily life easier, it can also cause issues such as Internet addiction, which is a serious public health problem. Stress is associated with difficulty interacting with others in healthy, positive, and meaningful ways, and has also been associated with Internet addiction. Aims: This study aimed to clarify the relationship between Internet addiction and stress in adolescents aged 12–15 years (grades 8 and 9) from four junior high schools in East Jakarta, DKI Jakarta Province, Indonesia. Methods: This study used a cross-sectional design and included 315 adolescents (boys: n=149, 47.3%; girls: n=166, 52.7%). Participants completed the Internet Addiction Test and the Perceived Stress Scale. Results: Although most adolescents had moderate stress levels, 23 (7.3%) adolescents had low stress and 18 (5.7%) had high stress. Most (n=281, 89.2%) adolescents had mild Internet addiction and 34 (10.8%) had moderate Internet addiction. We found a weak positive and statistically significant correlation between Internet addiction and stress (Spearman's correlation coefficient 0.345, p=0.000). Overall, 15 (5.3%) adolescents with mild Internet addiction experienced high stress, and three (8.8%) adolescents with moderate Internet addiction experienced high stress. Conclusion: Our findings suggest there is a weak positive relationship between Internet addiction and stress. Increased parental supervision of adolescents' Internet use may be needed use to prevent the risk of Internet addiction. Further research using longitudinal, or case-control designs is needed to clarify the causal relationship between Internet addiction and stress among adolescents.

School nurses have the vital role of providing physical and mental healthcare for children in schools, and need to be well supported. This study aimed to explore the use of an electronic decision support system based on artificial intelligence to assist school nurses in providing care for children in school clinics. The study will use an experimental study design. Satisfaction of students, nurses, and school staff with the nursing provided at school will be measured before and after implementation, and then compared.

Globally, an estimated 160,000 children develop cancer each year, 80% of whom live in developing countries like Bangladesh. Without proper diagnosis, treatment, or care, children with cancer in Bangladesh die prematurely. Out of an estimated 9000 cases per year, less than 5.5% of children receive hospital treatment, which is concentrated at cancer referral centers in the capital or large cities. This creates a major disparity in access to services between rural and urban areas. There are no diagnosis and treatment facilities available at the primary health care (grass roots) level in rural areas where most of the population live. Over 160 million people in Bangladesh use mobile phones. This study proposes a Mobile-based Childhood Cancer Care System to establish a mechanism to connect patients and link primary health care and tertiary care facilities. This study aims to assess the impact of using modern technology (mHealth) to bridge this access gap and improve the services provided for children with cancer. This study also aims to determine the effectiveness of integration of mHealth into primary health care for management of childhood cancer in Bangladesh. Ultimately, the web and mobile phone-based system will allow creation of a childhood cancer patient registry in Bangladesh.

Social media users regularly log in via online platforms to communicate and interact with other network users. There are many different social media sites that are popular among teenagers, including Facebook and Twitter, and these platforms offer alternatives to email for communication. Purpose: This study examined the relationship between social media use and physical activity among junior high school-aged adolescents. Methods: This study was a further analysis using data from a previous study that explored the use of online electronic media and physical health, mental health, and school performance among -junior high school students in East Jakarta, Indonesia. That cross sectional study included 315 adolescents from junior high school. Data were collected with the Social Media Use Scale and the Physical Activity Questionnaire for Adolescents. Results: This analysis showed that students fell into four social networking use groups: low use (n=78, 24.8%), average use (n=143, 45.4%), high use (n=81, 25.7%), and very high use (n=13, 4.1%). In terms of physical activity, 54 students (17.1%) had low activity, 181 (57.5%) had moderate activity, and 80 (25.4%) had high activity. The relationship between social media use and physical activity had a low correlation (r=0.005), indicating a weak, non-significant (p=0.928) relationship. Conclusion: This study found no significant relationship between social media use and physical activity among adolescents at junior high school in Indonesia.

We live in a media-saturated world and rely on a variety of new media for information, entertainment, and connectivity. The Internet, online gaming, and other electronic media have become increasingly popular among teenagers. Purpose: This study examined the relationship between Internet gaming addiction (IGA) and body mass index (BMI) status among junior high school students. Methods: This was a secondary data analysis of a previous study that explored electronic media use and physical health, mental health, and school performance among adolescents at junior high schools in East Jakarta. That study included a sample of 315 adolescents. The present analysis included data for 250 students. We examined IGA using the Internet Gaming Disorder Scale-Short Form and calculated BMI using body weight (kg) divided by height (in meters squared). Results: This analysis showed that 177 students (70.8%) had low levels of IGA and 126 students (50.4%) had a normal BMI. Students with high levels of IGA tended to be overweight. However, the relationship between IGA and BMI was weak and inverse (r = −0.036, p = 0.566). Conclusion: We found a weak inverse relationship between IGA and BMI. Further research is needed to better understand the link between IGA and BMI. It is also important to conduct a longitudinal study to clarify any causal relationship between IGA and BMI.

World Health Organization reports indicate childhood obesity has reached an epidemic state worldwide. In the United Arab Emirates, 45% of school-aged children are either overweight or obese. Interventional studies to tackle this issue are urgently needed. Researchers have described the childhood and adolescence developmental stages as periods in which habits and skills that persist into adulthood are developed; therefore, this period may be considered a critical time for establishing healthy lifestyles and positive adaptive behaviors (e.g., nutritional behaviors). Currently, most available health, fitness, or lifestyle-related mobile applications are directed to the general population and not tailored to the developing children and adolescent population.

Anxiety disorders are common among children and adolescents because of the nature of their developmental stage, which requires significant skill development and adaptation to many life transitions. A recent cross-sectional study conducted in the United Arab Emirates (UAE) with children aged 10-19 years (N=968) reported the overall prevalence was anxiety disorders of 28%. Of the whole sample, 37.1% had panic disorder, 45.5% had separation anxiety, 20% had social anxiety, and 36.5% had school avoidance. This highlights that age-appropriate initiatives are urgently needed to reduce the high rate of anxiety-related disorders. In the UAE, there are additional risk factors for the development of mental health problems, particularly among young people (i.e., consanguineous marriages, large families, and a large youth population in the active phase of development). This further reinforces the need to actively initiate intervention to address these issues among the youth population before they become entrenched in their adult personalities. According to World Health Organization reports, almost half of mental health conditions develop before age 14 years. The UAE healthcare system has identified a clear need to further develop existing mental health services.

Smoking is a global problem. In the United Arab Emirates (UAE), about 34% of men are smokers, and there are around 3000 smoking-related deaths each year. Smoking is also an increasing problem in the UAE, with smoking/smoking-related products responsible for many fatal diseases, including lung cancer, myocardial infarction, diabetes, and high blood pressure. In addition to these diseases, smoking is a major contributor to air pollution. Many countries offer smoking cessation programs to promote population health, but these programs are often time consuming and costly. In this paper, we proposed a novel method based on a mHealth application that uses customized and automated SMS messages to support smokers to quit smoking. A hybrid motivational theory will be used to motivate participants who are willing to enroll in our program for a 1-year period. During this time, all program users will be monitored and motivated by the mHealth application. The main objective of this project was to develop a framework for use by 200 UAE participants. It is intended that our program will motivate and encourage participants, and build their confidence to quit smoking.