Mobile Healthcare Research Articles

Defining vulnerabilities and enabling community engagement in epidemics preparedness: the CAVE model from Austria.

During the COVID-19 outbreak the transdisciplinary research project CAVE (Community Engagement and Vulnerability Assessment in Epidemics) investigated perceptions and practicability of public health communication among stakeholders of care and social facilities in Austria. It aimed at finding accurate definitions of vulnerability in the context of epidemics and at developing operational models for engagement of vulnerable groups in co-creating epidemic response mechanisms. Transdisciplinary methods included semi-structured interviews, focus group discussions, and desk reviews as well as spatial analysis and composite indicator-based mapping methods. Informants and participants in the community engagement phase represented clients as well as middle and lower management levels of Austrian care and social facilities for older persons and persons with cognitive impairments, persons depending on mobile healthcare services, homeless people, and socially deprived communities. A narrow definition of vulnerability as well as missing strategies for participation and community engagement limited communication with stakeholders and the implementation of protective measures. An inclusive definition of vulnerability beyond medical and physical indicators should be employed to account for social, psychological, and emotional aspects contributing to a higher risk of being affected by epidemics. The CAVE model provides a multi-level definition of vulnerability that allows for participatory engagement in co-creating adapted crisis response measures. We suggest policymakers and health authorities to consider a broader definition of vulnerability and to commit to pro-active engagement with stakeholders representing these sectors. This requires the establishment and maintenance of communication structures as well as political recognition of civic participation in the creation and implementation of epidemic response measures.

2.F. Scientific session: Challenges in healthcare architectures

Abstract The Workshop titled “Challenges in healthcare architectures” - proposed and developed by the three EUPHA Section: Urban Public Health (URB), Public Mental Health (MEN) and Environmental Health (ENV) - is aimed to foster the dialogue between designers (architects and urban planners), Public Health experts (operators, professionals and epidemiologists), general/sanitary Directors of healthcare facilities and medical staff, to establish a multidisciplinary approach for understanding together how to create and manage the healthcare facilities of the future. According to the main Conference topic “Sailing the waves of European public health: exploring a sea of innovation”, the workshop mainly addresses both the “Health care services and systems” and the “Health workforce, practice and training” EPH24 conference topics. The Workshops purpose is to explore the concept for the hospital of the future, that should be resilient to changes and capable of protecting different users’ health and tackle the transforming social, economic, environmental and epidemiological needs of the context in which they are located. As in many other spheres and economic activities, the pandemic accelerated the processes of innovation and digitization that had somehow already been activated. The healthcare issue, the use of smart devices for a dialogue between the healthcare professionals and the pervasive use of apps to monitor certain health parameters, are just some of the megatrends that were being observed and which have now necessarily entered into everyday life. In the same way, the hospital, which in the face of this gradual process of dematerialization and relocation of ‘softer’ clinical-diagnostic activities, reaffirms itself as a center of the highest specialty for the treatment and care of acute patients, for high-level clinical and experimental re-search, for diagnostics and more complex operations. At the same time, and finally, the hospital is inserted in a territorial healthcare facilities network, that should be planned, designed, and managed. The workshop program includes inputs which they argue current experiences, emerging practices and scientific outcomes related to the hospital design, planning and management sphere, coming from four different European countries. From designing to managing practices, in “Hospital Design and planning in the line of Foresight of Health Needs” and in “Sustainability in the Next Generation Hospital”. From digitalization in national resilience experiences, in “Digital Health Spaces in the City of Lisbon. The Role of Digitalization in linking Boundaryless Hospitals and Smart Health Cities” to novel approaches for specific disease, in “Building bridges: mobile mental health care units in four European countries”. Key messages • Explore the “hospital of the future” concept, resilient to changes, capable of protecting users’ health, and to tackle the transforming social, economic, environmental and epidemiological needs. • Establish a multidisciplinary and territorial approach, for understanding together how to create and manage the healthcare network of the future.

Building bridges: mobile mental health care units in four European countries

Abstract Background Individuals living in rural and remote areas may have limited access to mental healthcare due to lack of facilities, socioeconomic reasons, stigma and lack of mental health literacy. To meet the needs and provide needs-based care care mobile mental health care clinics were established in some countries in Europe, including in Belgium, Germany, Greece and in Moldowa. A mobile clinic is a customized motor vehicle that travels to communities to provide mental health care. The mobile clinics are an integral part of the health care system and help ensure access to mental care. Aims To describe mobile care clinics in two countries in Europe using a case study design. Results Mobile clinics deliver a wide variety of mental health services, are heterogeneous and consist of multidisciplinary teams, including physicians, social workers, and other health professionals. The organization and financing of the Mobile mental health clinics is different in the four countries (e.g. part of the mental health care system in Belgium, and Moldova, part of initiatives in Germany and Greece). Due to data protection no detailed data on patients can be provided at the moment. The structures on mental health care mobile clinics in the four countries will be described in detail in the talk. Discussion Mobile clinics often serve as a bridge between communities and the mental health care system. Another important issue in rural areas is the ongoing aging of the population. The number of Elderly patients is expected to rise in the future. The care of those patients is challenging for the mental health and the primary care system. There is a necessity for establishing bridges between mobile clinics and hospital care.

The Use of Mobile Health Care Among Medical Professionals in the Sichuan-Chongqing Region: Cross-Sectional Survey Study.

The emergence and integration of mobile health care technology have fundamentally transformed the health care industry, providing unprecedented opportunities to improve health care services and professional practice. Despite its immense potential, the adoption of mobile health care technology among health care professionals remains uneven, particularly in resource-limited regions. This study aims to explore the use and influencing factors of mobile health care among health care professionals in the Sichuan-Chongqing region of China and make recommendations. Convenience sampling was used in a cross-sectional study conducted from November 8 to November 14, 2023, to survey frontline clinical health care professionals at 5 district-level secondary public hospitals in the Sichuan-Chongqing region. A web-based questionnaire was used to investigate the use of mobile health care and its influencing factors among the participants. Descriptive analysis and logistic regression analysis were used in the study. A total of 550 valid questionnaires were completed. Among the surveyed health care professionals, only 18.7% (103/550) used mobile health care, with a satisfaction rate of only 50.5% (52/103). Around 81.3% (447/550) did not use any form of mobile health care. The age group of 30-39 years was found to be a significant factor influencing the use of mobile health care by health care professionals (P=.03). The main reasons for not using mobile health care among health care professionals were lack of appropriate technical training and support (266/447, 59.5%), lack of suitable management-specific apps (204/447, 45.6%), and concerns about increased workload (180/447, 40.3%). There were significant differences in the single-factor analysis of the reasons for the nonuse of mobile health care among health care professionals from different specialties (P=.04). Logistic regression analysis indicated that age was the only significant factor influencing the use of mobile health care by health care professionals (P=.04). The utilization rate of mobile health care among health care professionals in the Sichuan-Chongqing region is low. Age is a significant factor that influences whether health care professionals use mobile health care. Providing appropriate technical training and support may help improve the enthusiasm of health care professionals in using mobile health care.

Cuffless Wearable Sphygmomanometers Using Dual Digital Optical Frequency Combs in Chalcogenide Chips

AbstractSphygmomanometers typically use a rubber cuff around the upper arm to measure blood pressure, but this method can be uncomfortable. Thus, cuffless sphygmomanometers for continuous blood pressure monitoring in emergencies and healthcare are desirable. While electrical and optical blood pressure sensors offer high sensitivity, they often face issues like limited pressure range, temperature drift, slow response, and wearability problems. To tackle these limitations, the study designs a unique cuffless wearable blood pressure sensor (12 mm × 2 mm × 0.5 mm) featuring two original components: a GeSbS/AsS chalcogenide dual‐microring chip for high sensitivity, and a dual digital optical frequency comb (DDOFC) system for fast response and cost‐effective detection. The sensor is comparable to reported electrical and optical blood pressure sensors in its detection limit (23 Pa) but has a ten‐times faster response rate (2 kHz), a 1000‐times longer stable operation (>4.3 × 107 cycles), and a well‐compensated temperature drift (<0.012 pm/°C) that eliminates the need for temperature control. This innovation shows promise for wearable electronics and mobile healthcare, enabling the capture of critical cardiovascular details for applications like in‐surgery monitoring, orthostatic hypotension studies, and early detection of myocardial ischemia and strokes.

Self-management in young and middle-aged patients with hypertension: a systematic review and meta-synthesis of qualitative studies

BackgroundThere has been a sharp increase in the prevalence of hypertension in young and middle-aged people at high risk of the disease. Despite the fact that good self-management can be effective in controlling blood pressure, patients do not perform well in this area, resulting in poor blood pressure control. It is therefore particularly important to gain a thorough understanding of patients’ attitudes to self-management and the factors that influence them. The aim of this study was to synthesise the qualitative research on attitudes, motivations and challenges of self-management in young and middle-aged hypertensive patients, to analyse the synthesised results using the COM-B model and to propose appropriate improvement actions.MethodsFrom the time of construction until May 2023, the system searched PubMed, Web of Science, ProQuest, Embase, MEDLINE, CINAHL, PsyCINFO and CNKI databases. The analyses were carried out using a thematic synthesis approach to summarise the key findings. The findings were then mapped and analysed using the COM-B model.ResultsA total of 11 studies were included, involving 250 patients between the ages of 18 and 64. Four themes with ten sub-themes were identified: Poor disease recognition (low disease perception, fuzzy disease knowledge); Barriers to doctor-patient interactions (short communication time, unmet knowledge needs, incomplete guidance for disease management); Living in a hostile environment (heavy workload, lack of companionship, ignorance of families); Expectations for a healthy body (responsibility of family roles, witness the cruelty of illness). Analysis of the composite results based on the COM-B model showed that low disease perceptions, barriers to doctor-patient interactions and life circumstances with enemies on all sides were the main challenges faced by young and middle-aged hypertensive patients, whereas the expectation of a healthy body was a motivation to promote self-management of blood pressure in patients.ConclusionsThis study shows that family responsibilities are a particular motivator for self-management in young and middle-aged hypertensive patients. In response to the problems they face, we believe that meeting patients’ knowledge needs, improving healthcare professionals’ communication skills and valuing the role of community hospitals are effective ways to promote patient self-management. In the future, telemedicine, mobile healthcare and intelligent monitoring devices will provide a solution to reduce the burden on medical resources.Systematic review registrationPROSPERO CRD42018100810.

Nurse-led telehealth and mobile health care models for type 2 diabetes and hypertension in low-income US populations: A scoping review.

Increasing numbers of underserved people with chronic diseases and decreasing providers in rural areas have contributed to the care shortage in the United States. Nurse-led telehealth/mobile care models have potential benefits for this population. However, there is a substantial gap in the literature regarding this topic. To examine the available literature on nurse-led telehealth/mobile health care models with a particular focus on care model settings, nursing roles, care components, achieved outcomes, and the identification of both facilitative factors and encountered challenges. The ultimate goal is to offer recommendations based on these findings, thereby aiding the development or refinement of evidence-based care models that meet to the unique needs of low-income populations. Literature published from 2010 to 2023 was searched in six electronic databases (Cumulative Index to Nursing and Allied Health Literature, Communication and Mass Media Complete, Medline, APA PsycINFO, Social Sciences Index, and Web of Science databases). Commonalities identified among included studies with significant improvements were the provision of home monitors and education to participants, multiple engagements, and extensive community and/or family involvement. Nurse-led telehealth/mobile health care models for chronic diseases are an emerging approach. Nurse educators must ensure that future nurses are adept in diverse telehealth modes, collaborating across disciplines. Leveraging advanced practice registered nurses and interdisciplinary teams provides holistic care. Our review outlined recent research findings that suggest enhanced patient outcomes through technology, communication, and community support. In addition, we offered suggestions for future research and practice, emphasizing the importance of exploring the requirements of diverse and underserved communities.

Association between Unmet Dental-Care Needs and the Intention to Use Mobile Healthcare Services among Soldiers

Association between Unmet Dental-Care Needs and the Intention to Use Mobile Healthcare Services among Soldiers

Unveiling User Perspectives: Exploring Themes in Femtech Mobile App Reviews for Enhanced Usability and Privacy

Femtech, a growing sector in mobile healthcare technology, caters to women's needs across various life stages with digital solutions like period tracking and pregnancy management apps. Maintaining robust data privacy is crucial due to the sensitive nature of the information involved, such as menstrual cycles and pregnancy status. Our research analyzes user feedback from platforms like the Apple App Store and Google Play Store to understand perceptions of femtech apps, covering accessibility, interface, features, and privacy concerns. Understanding user perspectives helps developers enhance usability and trust, driving further adoption. Prioritizing privacy also fosters industry advancement. This paper stresses the importance of dialogue among developers, users, and policymakers in femtech. Our findings aim to facilitate positive change within the femtech sector, leading to more inclusive, user-centric, and ethically driven advancements, benefiting both the industry and its users.

The ‘structural pessimism’ of the EU periphery: Measures to establish a new revitalisation paradigm

Throughout the EU’s history, developed regions have consistently drawn young people, with the phenomenon of ‘escaping from the province’ being a significant driver of youth migration. As peripheral regions become increasingly depopulated, the ‘ring of desert’ effect that appears in these areas also starts to impact developed regions (because depopulated areas are more vulnerable to illegal migration, the loss of social capital in the periphery results in the reduced competitiveness of the entire EU, social and political tensions increase, etc.). Instead of increasing solidarity, the opposite is happening. For example, Croatia has subsidised Germany by investing €18 billion in the education of its emigrated citizens. In the future, however, peripheral areas might become more attractive places to live due to an increase in threats such as pandemics, climate change, pollution and terrorism. Remote work could lead to a resurgence in the population of the EU’s peripheries, provided there is access to broadband Internet, public transportation, mobile healthcare services and distance education in rural areas.

A certificateless designated verifier sanitizable signature in e-health intelligent mobile communication system

With the widespread use of mobile communication and smart devices in the medical field, mobile healthcare has gained significant attention due to its ability to overcome geographical limitations and provide more efficient and high-quality medical services. In mobile healthcare, various instruments and wearable device data are collected, encrypted, and uploaded to the cloud, accessible to medical professionals, researchers, and insurance companies, among others. However, ensuring the security and privacy of healthcare data in the context of mobile networks has been a highly challenging issue. Certificateless signature schemes allow patients to conceal their respective privacy information for different sharing needs. Nevertheless, existing mobile healthcare data protection solutions suffer from costly certificate management and the inability to restrict signature verifiers. This paper proposes a certificateless designated verifier sanitizable signature for mobile healthcare scenarios, aiming to enhance the security and privacy of mobile healthcare data. This scheme enables the sanitization of sensitive data without the need for certificate management and allows for the specification of signature verifiers. This ensures the confidentiality of medical data, protects patient privacy, and prevents unauthorized access to healthcare data. Through security analysis and experimental comparisons, it is demonstrated that the proposed scheme is both efficient and effectively ensures data security and user privacy. Therefore, it is well-suited for privacy protection in mobile healthcare data.

Effectiveness of Home-Based Cardiac Rehabilitation with Optimized Exercise Prescriptions Using a Mobile Healthcare App in Patients with Acute Myocardial Infarction: A Randomized Controlled Trial.

Despite the effectiveness of cardiac rehabilitation (CR), the actual participation rate in CR is low. While home-based CR offers a viable alternative, it faces challenges in participation due to factors such as a lack of self-motivation and fear of exercising without supervision. Utilizing a mobile healthcare application (app) during counseling may be an effective strategy for patients. Therefore, the aim of this study was to assess whether 6 weeks of home-based CR with exercise readjustment using a mobile app is an effective therapy for patients with acute myocardial infarction (AMI). Post-AMI patients eligible for home-based CR were randomized into the intervention group (CR-Mobile) and the control group, which followed the usual home-based CR protocol (CR-Usual). Both groups participated in a 6-week home-based CR program, with exercise readjustment and encouragement carried out every 2 weeks. The CR-Mobile group was supervised using data recorded in the mobile app, while the CR-Usual group was supervised via phone consultations. The primary outcome measured was maximal oxygen consumption (VO2max). Within-group comparisons showed significant improvements in VO2max (PCR-Mobile = 0.011 vs. PCR-Usual = 0.020) and METs (PCR-Mobile = 0.011 vs. PCR-Usual = 0.011) for both groups. These findings suggest that a 6-week home-based CR program with exercise readjustment using a mobile app can potentially enhance exercise capacity as effectively as verbal supervision.

Achieving Equity in Hypertension: A Review of Current Efforts by the American Heart Association.

The purpose of this article is to summarize disparities in blood pressure (BP) by race in the United States, discuss evidence-based strategies to increase equity in BP, review recent American Heart Association BP equity initiatives, and highlight missed opportunities for achieving equity in hypertension. Over 122 million American adults have hypertension, with the highest prevalence among Black Americans. Racial disparities in hypertension and BP control in the United States are estimated to be the single largest contributor to the excess risk for cardiovascular disease among Black versus White adults. Worsening disparities in cardiovascular disease and life expectancy during the COVID-19 pandemic warrant an evaluation of the strategies and opportunities to increase equity in BP in the United States. Racial disparities in hypertension are largely driven by systemic inequities that limit access to quality education, economic opportunities, neighborhoods, and health care. To address these root causes, recent studies have evaluated evidence-based strategies, including community health workers, digital health interventions, team-based care, and mobile health care to enhance access to health education, screenings, and BP care in Black communities. In 2021, the American Heart Association made a $100 million pledge and 10 commitments to support health equity. This commitment included implementing multifaceted interventions with a focus on hypertension as a seminal risk factor contributing to disparities in cardiovascular disease mortality and morbidity. The American Heart Association is one organizational example of advocacy for equity in BP. Achieving equity nationwide will require sustained collaboration among individual stakeholders and public, private, and community organizations to address barriers across multiple socioecological levels.

디지털 헬스케어를 활용한 수원특례시 노인복지시스템 구축 연구

The pace of aging in Korea is the highest in the world, and Suwon City is also expected to enter a super-aged society in 2030, so preparations for the medical and welfare sectors for the elderly are urgent. In addition, interest in digital healthcare, which focuses on non-face-to-face treatment, has increased due to the COVID-19 pandemic crisis in 2019. In this study aimed to propose a plan to build an elderly welfare system for Suwon based on previous studies through literature review and expert focus group interviews As a result of literature survey, in developed countries, digital healthcare services have been developed mainly in the U.S., Japan, and Israel. In particular, the U.S., which has been promoting non-face-to-face telemedicine since early on due to its large land area, has developed a business centered on private companies, but has also been able to grow into a digital health powerhouse due to government support such as deregulation. In Korea, the development of the digital healthcare industry has been limited due to problems such as the regulation of telemedicine practices and unclear core. In addition, according to the results of the expert group interviews, those involved in the mobile healthcare project at the Suwon City Health Center pointed out errors in the system app and difficult input methods as the main factors for negative participation in the project. Therefore, it is expected that for self-healthcare through digital healthcare to be actively implemented, it is necessary not only for the right understanding and participation of the project targets, but also for the active cooperation of the government and private companies.

Advances in exosome plasmonic sensing: Device integration strategies and AI-aided diagnosis

Exosomes, as next-generation biomarkers, has great potential in tracking cancer progression. They face many detection limitations in cancer diagnosis. Plasmonic biosensors have attracted considerable attention at the forefront of exosome detection, due to their label-free, real-time, and high-sensitivity features. Their advantages in multiplex immunoassays of minimal liquid samples establish the leading position in various diagnostic studies. This review delineates the application principles of plasmonic sensing technologies, highlighting the importance of exosomes-based spectrum and image signals in disease diagnostics. It also introduces advancements in miniaturizing plasmonic biosensing platforms of exosomes, which can facilitate point-of-care testing for future healthcare. Nowadays, inspired by the surge of artificial intelligence (AI) for science and technology, more and more AI algorithms are being adopted to process the exosome spectrum and image data from plasmonic detection. Using representative algorithms of machine learning has become a mainstream trend in plasmonic biosensing research for exosome liquid biopsy. Typically, these algorithms process complex exosome datasets efficiently and establish powerful predictive models for precise diagnosis. This review further discusses critical strategies of AI algorithm selection in exosome-based diagnosis. Particularly, we categorize the AI algorithms into the interpretable and uninterpretable groups for exosome plasmonic detection applications. The interpretable AI enhances the transparency and reliability of diagnosis by elucidating the decision-making process, while the uninterpretable AI provides high diagnostic accuracy with robust data processing by a “black-box” working mode. We believe that AI will continue to promote significant progress of exosome plasmonic detection and mobile healthcare in the near future.

Patient Perspectives on Utilizing a Mobile Medical Clinic in Rural Philippine Communities

The purpose of the ABC’s for Global Health Medical Mobile Clinic (ABC-MMC) is to (1) provide primary health care services and (2) prevent and manage hypertension and type 2 diabetes in underserved rural villages (barangays) in Pampanga Province, Philippines. The aims of this study were: (1) to evaluate patient perceptions regarding ABC-MMC’s health care services; and (2) understand the barriers to and facilitators for patient engagement in ABC-MMC. This was an exploratory qualitative study conducted in November 2021 using open-ended, semi-structured focus group interviews. Participants enrolled in ABC-MMC were recruited from six of the 18 barangays served by ABC-MMC. Community health workers (CHWs) recruited from each barangay were instructed on how to facilitate focus groups. Focus group interviews were digitally recorded and open coding methods were used to analyze the resulting data. Six focus groups were conducted with N=57 adult Filipino participants (28.1% male, 71.9% female). Overall, mean age was 61 years. A majority had hypertension (84.2%), while 42.1% had type 2 diabetes. Mean duration for patient-enrollment in ABC-MMC was 2.3 years. Four major focus group themes emerged: (1) barriers for access to healthcare, (2) facilitators for accessing healthcare, (3) positive perceptions towards ABC-MMC, and (4) limited health literacy. As far as authors know, ABC-MMC is the first mobile primary healthcare program emphasizing continuity of care in low-income rural Philippine barangays that (1) addresses the lack of healthcare services, and (2) focuses on chronic disease prevention and management. This study found that the ABC-MMC was well-received by rural Filipino communities. Moreover, barriers and facilitators were identified to inform how best to promote engagement in ABC-MMC services and improve health outcomes in low-income underserved rural Philippine barangays.

Diagnosis of Pressure Ulcer Stage Using On-Device AI

Pressure ulcers are serious healthcare concerns, especially for the elderly with reduced mobility. Severe pressure ulcers are accompanied by pain, degrading patients’ quality of life. Thus, speedy and accurate detection and classification of pressure ulcers are vital for timely treatment. The conventional visual examination method requires professional expertise for diagnosing pressure ulcer severity but it is difficult for the lay carer in domiciliary settings. In this study, we present a mobile healthcare platform incorporated with a light-weight deep learning model to exactly detect pressure ulcer regions and classify pressure ulcers into six severities such as stage 1–4, deep tissue pressure injury, and unstageable. YOLOv8 models were trained and tested using 2800 annotated pressure ulcer images. Among the five tested YOLOv8 models, the YOLOv8m model exhibited promising detection performance with overall classification accuracy of 84.6% and a mAP@50 value of 90.8%. The mobile application (app) was also developed applying the trained YOLOv8m model. The mobile app returned the diagnostic result within a short time (≒3 s). Accordingly, the proposed on-device AI app can contribute to early diagnosis and systematic management of pressure ulcers.

PulseNet: Multi-task learning-based non-contact pulse condition diagnosis using multi-scale fusion and transformer

The pulse condition, also called mai xiang, a significant diagnostic indicator in traditional Chinese medicine (TCM), has increased demand for intelligent diagnosis in recent years. However, the existing intelligent pulse condition diagnosis is mostly sensor-based or contact-dependent, resulting in numerous inconveniences, especially in mobile healthcare. Recently, remote photoplethysmography(rPPG) with the information captured from facial videos has been widely used in non-contact physiological measurements, such as blood pressure and heart rate monitoring. Inspired by these studies, a novel end-to-end rPPG-based method, named PulseNet, is proposed for non-contact pulse condition diagnosis in this paper. In PulseNet, the transformer is employed to extract spatio-temporal features from facial videos, multi-scale fusion is adopted to enhance the feature representation progressively, and multi-task learning is proposed for final pulse condition diagnosis. Besides, we propose the spatio-temporal difference attention (STDA) block in the transformer to aggregate spatio-temporal difference clues of the local region to provide fine-grained spatio-temporal context. We conduct extensive experiments with the proposed method. The results show that PulseNet outperforms the state-of-the-art rPPG-based methods. To the best of our knowledge, our method is the first attempt to detect pulse conditions with the information captured from facial videos, making it a promising non-contact diagnosis approach for mobile healthcare in TCM.

The Integration of Portable Sensors with a Mobile Application for Self-Observation

IoT in mobile healthcare significantly benefits patients by reducing treatment costs, saving time, and reducing the time and effort required for minor complications. Smart healthcare systems have significantly reduced the death rate worldwide by providing real-time monitoring of critical conditions, enabling immediate assistance from doctors. The proposed work introduces an IoT mobile application for healthcare monitoring, utilizing wearables and biosensor patches to regularly monitor both inpatients and outpatients. The system will facilitate the connection, monitoring, and decision-making for a precise evaluation of health changes.

Relating caregiver experiences to personalized "push" content in mobile applications among caregivers of pediatric patients with oncology conditions.

With the evolution of data algorithms and personalized push systems in mobile applications, patients who have searched for disease-related information may repeatedly receive similar content on app homepages or through notifications. This study aims to assess the influence of health-related content delivered through mobile applications on the anxiety and depression levels of caregivers of pediatric oncology patients. A survey consisting of 16 questions was conducted among 91 caregivers of pediatric oncology patients at the Children's Hospital affiliated with Chongqing Medical University. The questionnaire was designed by oncologists and the Hospital Anxiety and Depression Scale was used to assess the caregivers' psychological states. The study found that 31.5% of caregivers exhibited borderline anxiety symptoms, while 20.2% displayed borderline depression symptoms. Caregivers who noticed changes in homepage recommendations reported higher levels of anxiety (p=.004) and depression (p=.034). Additionally, 50.6% occasionally felt anxious or uneasy due to personalized notifications and 19.1% frequently felt this way. Moreover, 53.9% of the caregivers reported a negative impact on their emotions or daily life. Personalized push notifications related to disease information in mobile applications can impose a significant psychological burden on patients and their caregivers. Mobile application developers and healthcare providers must strengthen their support in the digital health domain to enhance the emotional well-being of cancer patients and their caregivers.