A systematic review of healthcare applications for smartphones

Evaluating the Reliability of 'AudiClick': A Click-Based Mobile App for Hearing Loss

Introduction

To develop and validate a click-based mobile "Audiclick" app employing click noises for hearing assessments.

Materials and Methods

This prospective comparative study compares the "AudiClick" app as a hearing screening tool to pure tone audiometry. Participants listened to sounds through wired earbud headphones that were connected to an Android or iOS device.

Results

The study involved 110 participants aged between 18 to 80 years old. All degrees of hearing loss severity corresponds to pure tone average (p < 0.01) results. The app was also found to be effective at identifying hearing loss (80-99% sensitivity, specificity, positive predictive value, and accuracy). Test-retest reliability had also shown excellent ICC scores of 0.93.

Conclusions

This study demonstrates that a mobile app using click sounds can be as efficient as pure tone audiometry for field screenings, while being more cost-effective and easier to develop.

Mobile Diagnostic Clinics

This article reviews the revolutionary impact of emerging technologies and artificial intelligence (AI) in reshaping modern healthcare systems, with a particular focus on the implementation of mobile diagnostic clinics. It presents an insightful analysis of the current healthcare challenges, including the shortage of healthcare workers, financial constraints, and the limitations of traditional clinics in continual patient monitoring. The concept of "Mobile Diagnostic Clinics" is introduced as a transformative approach where healthcare delivery is made accessible through the incorporation of advanced technologies. This approach is a response to the impending shortfall of medical professionals and the financial and operational burdens conventional clinics face. The proposed mobile diagnostic clinics utilize digital health tools and AI to provide a wide range of services, from everyday screenings to diagnosis and continual monitoring, facilitating remote and personalized care. The article delves into the potential of nanotechnology in diagnostics, AI's role in enhancing predictive analytics, diagnostic accuracy, and the customization of care. Furthermore, the article discusses the importance of continual, noninvasive monitoring technologies for early disease detection and the role of clinical decision support systems (CDSSs) in personalizing treatment guidance. It also addresses the challenges and ethical concerns of implementing these advanced technologies, including data privacy, integration with existing healthcare infrastructure, and the need for transparent and bias-free AI systems.

Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Analysis

BACKGROUND

Hospital apps are increasingly being adopted in many countries, especially since the start of the COVID-19 pandemic. Web-based hospitals can provide valuable medical services and enhanced accessibility. However, increasing concerns about personal information (PI) and strict legal compliance requirements necessitate privacy assessments for these platforms. Guided by the theory of contextual integrity, this study investigates the regulatory compliance of privacy policies for internet hospital apps in the mainland of China.

OBJECTIVE

In this paper, we aim to evaluate the regulatory compliance of privacy policies of internet hospital apps in the mainland of China and offer recommendations for improvement.

METHODS

We obtained 59 internet hospital apps on November 7, 2023, and reviewed 52 privacy policies available between November 8 and 23, 2023. We developed a 3-level indicator scale based on the information processing activities, as stipulated in relevant regulations. The scale comprised 7 level-1 indicators, 26 level-2 indicators, and 70 level-3 indicators.

RESULTS

The mean compliance score of the 52 assessed apps was 73/100 (SD 22.4%), revealing a varied spectrum of compliance. Sensitive PI protection compliance (mean 73.9%, SD 24.2%) lagged behind general PI protection (mean 90.4%, SD 14.7%), with only 12 apps requiring separate consent for processing sensitive PI (mean 73.9%, SD 24.2%). Although most apps (n=41, 79%) committed to supervising subcontractors, only a quarter (n=13, 25%) required users' explicit consent for subcontracting activities. Concerning PI storage security (mean 71.2%, SD 29.3%) and incident management (mean 71.8%, SD 36.6%), half of the assessed apps (n=27, 52%) committed to bear corresponding legal responsibility, whereas fewer than half (n=24, 46%) specified the security level obtained. Most privacy policies stated the PI retention period (n=40, 77%) and instances of PI deletion or anonymization (n=41, 79%), but fewer (n=20, 38.5%) committed to prompt third-party PI deletion. Most apps delineated various individual rights, but only a fraction addressed the rights to obtain copies (n=22, 42%) or to refuse advertisement based on automated decision-making (n=13, 25%). Significant deficiencies remained in regular compliance audits (mean 11.5%, SD 37.8%), impact assessments (mean 13.5%, SD 15.2%), and PI officer disclosure (mean 48.1%, SD 49.3%).

CONCLUSIONS

Our analysis revealed both strengths and significant shortcomings in the compliance of internet hospital apps' privacy policies with relevant regulations. As China continues to implement internet hospital apps, it should ensure the informed consent of users for PI processing activities, enhance compliance levels of relevant privacy policies, and fortify PI protection enforcement across the information processing stages.

Paediatric Rheumatology Fails to Meet Current Benchmarks, a Call for Health Equity for Children Living with Juvenile Idiopathic Arthritis, Using Digital Health Technologies

PURPOSE OF REVIEW

This critical review begins by presenting the history of Juvenile Idiopathic Arthritis (JIA) management. To move the conversation forward in addressing the current shortcomings that exist in the clinical management of children living with JIA, we argue that to date, the advancement of successful treatments for JIA has been historically slow. Factors implicated in this situation include a lack of rigorous research, JIA being considered a rare disease, and JIA's idiopathic and complex pathophysiology.

RECENT FINDINGS

Despite the well-intended legislative changes to increase paediatric research, and the major advancements seen in molecular medicine over the last 30 years, globally, paediatric rheumatology services are still failing to meet the current benchmarks of best practice. Provoking questions on how the longstanding health care disparities of poor access and delayed treatment for children living with JIA can be improved, to improve healthcare outcomes. Globally, paediatric rheumatology services are failing to meet the current benchmarks of best practice. Raising awareness of the barriers hindering JIA management is the first step in reducing the current health inequalities experienced by children living with JIA. Action must be taken now, to train and well-equip the paediatric rheumatology interdisciplinary workforce. We propose, a resource-efficient way to improve the quality of care provided could be achieved by embedding digital health into clinical practice, to create an integrative care model between the children, general practice and the paediatric rheumatology team. To improve fragmented service delivery and the coordination of interdisciplinary care, across the healthcare system.

Practice pathways, education, and regulation influencing nurse practitioners' decision to provide primary care: a rapid scoping review

BACKGROUND/OBJECTIVE

Initially established to improve access to healthcare, particularly for primary care, the full potential of the nurse practitioner role is yet to be realised in most countries. Despite this, most countries are working to meet an ageing population's increasing healthcare needs and reduce healthcare costs and access disparities. Achieving these outcomes requires reform at multiple levels, including nurse practitioner practice pathways, education and regulation, and identifying the barriers and facilitators to optimising their primary care role.

METHODS

A rapid scoping review of nurse practitioner practice pathways, education and regulation inclusive of: (1) a systematic search of Medline and CINAHL for peer-reviewed English language articles, including opinion pieces published between January 2015 and February 2022; and (2) a web-based search of nurse practitioner program entry requirements of International Nurse Regulator Collaborative country members with a protected nurse practitioner title and prescribing rights, plus the Netherlands. The individually summarised search data was integrated and synthesised using Popay's narrative approach.

RESULTS

Emerging evidence from the included nurse practitioner courses (n = 86) and articles (n = 79) suggests nurse practitioners working in primary care provide safe, effective care and improve healthcare efficiencies. However, different regulatory and educational models are required if the primary care nurse practitioner is to meet growing demand.

CONCLUSIONS

International variations in entry criteria, curriculum, and regulation shape the global profile of the nurse practitioner primary care workforce and their practice setting. For countries to grow their primary care nurse practitioner workforce to meet unmet needs, different entry requirements, program content and accredited post-registration transitional programs must be urgently considered.

Secure app-based secondary healthcare clinical decision support to deployed forces in the UK Defence Medical Services

BACKGROUND

Modern instant messaging systems facilitate reach-back medical support for Defence Medical Services (DMS) by connecting deployed clinicians to remote specialists. The mobile app Pando (Forward Clinical, UK) has been used for this purpose by the DMS via the 'Ask Advice' function. We aimed to investigate the usage statistics for this technology in its first 1000 days to better understand its role in the DMS.

METHODS

An observational study was undertaken using metadata extracted from the prospective database within the application server for clinical queries between June 2019 and February 2022. These data included details regarding number and name of specialties, timings, active users per day and the number of conversations.

RESULTS

There were 29 specialties, with 298 specialist users and 553 requests for advice. The highest volume of requests were for trauma and orthopaedics (n=116; 21.0%), ear, nose and throat (n=67; 12.1%) and dermatology (n=50; 9.0%). There was a median of 164 (IQR 82-257) users logged in per day (range 2-697). The number of requests during each day correlated with the number of users on that day (r=0.221 (95% CI 0.159 to 0.281); p<0.001). There were more daily users on weekdays than weekends (215 (IQR 123-277) vs 88 (IQR 58-121), respectively; p<0.001). For the top 10 specialties, the median first response time was 9 (IQR 3-42) min and the median time to resolution was 105 (IQR 21-1086) min.

CONCLUSION

In the first 1000 days of secure app-based reach-back by the DMS there have been over 500 conversations, responded to within minutes by multiple specialists. This represents a maturing reach-back capability that may enhance the force multiplying effect of defence healthcare while minimising the deployed 'medical footprint'. Further discussions should address how this technology can be used to provide appropriately responsive clinical advice within DMS consultant job-planned time.

FeverApp for Parents: A Multilingual and Socially Accountable Approach to Paediatric Fever Management in Germany

Policymakers and practitioners are increasingly focused on achieving health equity and meeting the specific health needs of diverse populations, including vulnerable groups such as children. To address these challenges, the Fever App for Parents has emerged as a solution to guide parents through the complexities of managing fever in their children by improving fever management in children through real-time data collection and comprehensive educational support. This systematic approach aims to reduce unnecessary medical interventions and overuse of antibiotics, thereby improving the overall quality of pediatric care and reducing parental anxiety. In Germany, almost every second child aged 0-10 is a child with migration status and/or migration experience. This means that the parents of these children also need to be targeted in fever management and informed about the correct behavior in case of fever. This information will also be monitored anonymously to provide a feedback loop on the parent's experience with the menu navigation and information design. The FeverApp provides parents with a structured, step-by-step guide to accurately track their child's temperature and medication intake to encourage adherence to established fever management protocols. This study examines how the FeverApp embodies the principles of social responsibility through its multilingualism and digital development stages that incorporate user feedback. It shows why this app can be a resource to promote health equity through social responsibility in medical education and practice for parents, but also what barriers need to be considered at different stages of app development for parents from different cultural backgrounds to enable informal medical learning through apps.

The differences between adults and adolescents using a mobile health application for menstrual complaints: A usability and qualitative study

BACKGROUND

A "Menstruatie Educatie Kalender" application (Menstruation Education Calendar, (MEK-APP)) was developed for adults to evaluate menstrual complaints. The future aim of this app is to use it as a self-diagnostic instrument for menstrual abnormalities for both adults and adolescents. Early identification of the potential of an application for future use by both user groups would increase implementation success and adoption of the application.

OBJECTIVE

To compare differences in experienced usability by adults versus adolescents and to identify factors influencing future use for both age groups in one mHealth application (in this study the MEK-APP).

METHODS

This study consisted of three phases: (1) usability testing of the MEK-APP for iOS and Android by think-aloud method, (2) two-month daily use and (3) in-depth individual interview. During the think-aloud sessions, twelve tasks were performed in the application while they were thinking aloud. Usability problems were rated for their severity with Nielsen' Severity Scale. Both the think-aloud sessions and in-depth interviews were verbatim transcribed and thematically analyzed to determine the factors influencing future use for both groups. In addition, the System Usability Scale (SUS) and Intrinsic Motivation Inventory (IMI) questionnaires were filled out during the interviews.

RESULTS

Seven adults (>18 years) and seven adolescents (14-18 years) evaluated the MEK-APP. There were 14 usability issues and 16 bugs in both groups. There were no differences between adults and adolescents. In the thematic qualitative analysis, the following future use factors were identified: user-expectation, motivation, privacy, understandability, and user-experience. The user-expectation, motivation and privacy differed between both groups but did not influence usage. No differences were observed in SUS and IMI scores between both groups.

CONCLUSIONS

There are five factors influencing the future use of a menstrual-related mHealth application for both adults and adolescents. It is possible to serve different age groups with a single application.

Effectiveness and intention to use a COVID-19 self-management app for epidemiological investigation: a web-based survey study

Introduction

Numerous COVID-19-related apps were widely used during the COVID-19 pandemic. Among them, those supporting epidemiological investigations were particularly useful. This study explored the effectiveness of apps that support epidemiological investigations, factors influencing users' intention to use them, and ways to encourage their use.

Methods

We developed and evaluated the KODARI app to demonstrate its importance in epidemiological investigations. After adapting a questionnaire based on an existing evaluation framework for COVID-19-related apps, we collected data from 276 participants through an online survey conducted between April 28 and May 25, 2023. We conducted two independent sample t-tests to determine the differences between each variable according to demographic characteristics and a multiple regression analysis to identify factors affecting intention to use.

Results

Users were generally satisfied with the KODARI. We observed differences in sex, age, marital status, occupational characteristics, and experience with epidemiological investigation. Females rated the app's information accuracy higher than males. Males had a higher intention to use than females. Participants aged under 35 years rated information accuracy and transparency highly, whereas single participants rated information accuracy higher than married participants. Occupational groups with frequent interactions with others evaluated their self-determination regarding the application. The app's self-determination was highly valued among participants with experience in epidemiological investigations. By investigating the factors affecting the intention to use the app, we confirmed that effectiveness, self-determination, and usability significantly affected the intention to use.

Discussion

This study demonstrated the effectiveness of app supporting epidemiological investigations, identified meaningful factors that influence intention to use, and confirmed the applicability of our new framework by considering the specificity of infectious disease situations such as COVID-19. This study provides a new basis for future epidemiological studies.

Real-world application of a smartphone-based visual acuity test (WHOeyes) with automatic distance calibration

BACKGROUND

To develop and assess the usability of a smartphone-based visual acuity (VA) test with an automatic distance calibration (ADC) function, the iOS version of WHOeyes.

METHODS

The WHOeyes was an upgraded version with a distinct feature of ADC of an existing validated VA testing app called V@home. Three groups of Chinese participants with different ages (≤20, 20-40, >40 years) were recruited for distance and near VA testing using both an Early Treatment Diabetic Retinopathy Study (ETDRS) chart and the WHOeyes. The ADC function would determine the testing distance. Infrared rangefinder was used to determine the testing distance for the ETDRS, and actual testing distance for the WHOeyes. A questionnaire-based interview was administered to assess the satisfaction.

RESULTS

The actual testing distance determined by the WHOeyes ADC showed an overall good agreement with the desired testing distance in all three age groups (p>0.50). Regarding the distance and near VA testing, the accuracy of WHOeyes was equivalent to ETDRS. The mean difference between the WHOeyes and ETDRS ranged from -0.084 to 0.012 logMAR, and the quadratic weighted kappa (QWK) values were >0.75 across all groups. The test-retest reliability of WHOeyes was high for both near and distance VA, with a mean difference ranging from -0.040 to 0.004 logMAR and QWK all >0.85. The questionnaire revealed an excellent user experience and acceptance of WHOeyes.

CONCLUSIONS

WHOeyes could provide accurate measurement of the testing distance as well as the distance and near VA when compared to the gold standard ETDRS chart.

Smartphone use for Paediatric Calculations in Emergencies (SPaCE)

BACKGROUND

The preparation for critically ill children involves calculating drug and fluid volumes using the commonly taught WETFLAG (weight, energy, endotracheal tube, fluids, lorazepam, adrenaline, glucose) acronym. While smartphone applications (apps) are increasingly used for these calculations in clinical practice, limited studies have explored their accuracy and safety.

AIM

To assess the accuracy of three calculation methods for paediatric emergency drug doses and fluid volumes: a smartphone app, reference charts and traditional calculation methods. The secondary aims were to investigate the effect on the time taken and self-reported stress levels.

METHODS

A convenience sample of healthcare professionals from four hospitals contributed. Participants calculated drug and fluid doses for fictional patients using the three different methods. The method and case order were randomised centrally. The study recorded the number of errors made during the calculations, healthcare professionals' self-reported stress levels on a scale of 0 (no stress) to 10 (maximum stress) and the time taken for each case. The app was developed at the direct request of the study team.

RESULTS

Ninety-six participants calculated values for six fictional cases, resulting in 576 calculations. Traditional calculation methods showed a statistically significant higher rate of error compared with the use of a smartphone app or reference charts (mean=1, 0, 0, respectively). The smartphone app outperformed both traditional calculation methods and reference charts for time taken and user-reported stress levels.

CONCLUSIONS

Traditional methods of 'WETFLAG' drug and fluid calculations are associated with a statistically significant increased risk of error compared with the use of reference charts or smartphone app. The smartphone app proved significantly faster and less stressful to use compared with traditional calculation methods or reference charts.

Smartphone Application Versus Standard Instruction for Colonoscopic Preparation: A Randomized Controlled Trial

OBJECTIVE

To compare smartphone application (Colonoscopic Preparation) instructions versus paper instructions for bowel preparation for colonoscopy.

BACKGROUND

Adhering to bowel preparation instructions is important to ensure a high-quality colonoscopy.

PATIENTS AND METHODS

This randomized controlled trial included individuals undergoing colonoscopy at a tertiary care hospital. Individuals were randomized (1:1) to receive instructions through a smartphone application or traditional paper instructions. The primary outcome was the quality of the bowel preparation as measured by the Boston Bowel Preparation Score. Secondary outcomes included cecal intubation and polyp detection. Patient satisfaction was assessed using a previously developed questionnaire.

RESULTS

A total of 238 individuals were randomized (n = 119 in each group), with 202 available for the intention-to-treat analysis (N = 97 in the app group and 105 in the paper group). The groups had similar demographics, indications for colonoscopy, and type of bowel preparation. The primary outcome (Boston Bowel Preparation Score) demonstrated no difference between groups (Colonoscopic Preparation app mean: 7.26 vs paper mean: 7.28, P = 0.91). There was no difference in cecal intubation (P = 0.37), at least one polyp detected (P = 0.43), or the mean number of polyps removed (P = 0.11). A higher proportion strongly agreed or agreed that they would use the smartphone app compared with paper instructions (89.4% vs 70.1%, P = 0.001).

CONCLUSIONS

Smartphone instructions performed similarly to traditional paper instructions for those willing to use the application. Local patient preferences need to be considered before making changes in the method of delivery of medical instructions.

How to create a successful mobile learning strategy for medical education during lockdowns?

BACKGROUND

Mobile learning has played an important role during the COVID-19 pandemic and medical schools now consider it as an effective educational method in current and future crises. In this qualitative study, an attempt was made to demonstrate the principles of designing a mobile learning strategy in medical education from the perspective of experts.

MATERIALS AND METHODS

The study was conducted by the qualitative content analysis method. The data were collected from July 2022 to Feb 2023. Twelve participants were included in this study from Iran's medical universities, consisting of two members of the Higher Council of Virtual Education, three educational directors, three clinical faculty members, two faculty members specializing in e-learning and medical education, an educational vice, and a dean. Data were collected using semi-structured interviews and analyzed by Granheim and Lundman's (2004) method.

RESULTS

Out of twelve participants in the study, eight (66%) were males and four (44%) females. Data were classified into eight categories and one theme. Based on the participants' experiences, the main theme, that is, "the principles of medical education design in mobile learning," included pedagogical component, interactive design, effective and comprehensive analysis, achieving objectives with the mobile learning platform, generating micro- and interactive e-content, teaching-learning interactive methods, course implementation and interactive evaluation at both micro- and macro-levels.

CONCLUSION

Data analysis revealed that in addition to the eight principles in the medical education design in mobile learning, the participants prioritized the two principles of pedagogical component and interactive design over other principles in educational design. Using a successful mobile learning strategy in situations of restrictions limiting physical presence may improve the quality of medical education.

Factors associated with the use of digital health among healthcare workers in the Buea and Tiko health districts of Cameroon: a cross-sectional study

Introduction

digital health has been demonstrated to improve the efficiency and scale of health service delivery in resource-limited settings. Understanding factors influencing its use could accelerate the process of its implementation in routine practice.

Methods

we conducted a cross-sectional analytic study in Buea and Tiko health districts from January to May 2021. We included healthcare workers selected using multistage stratified sampling. Use of digital health was defined as using at least two digital tools and one digital health intervention (DHI) or at least two DHIs by a healthcare worker. Epi Info was used for statistical analysis. Binary logistic regression was used to evaluate factors associated with the use of digital health.

Results

in total, 221 participants were included in the study. The mean age was 33±9.1 years and 76.5% were female. Only 39.4% (n=87) of participants used digital health. The most frequently used digital tools for health-related purposes included: Microsoft (MS) Excel (29.9%), MS PowerPoint (26.8%) and MS Word (39.1%). The main DHIs used were research (30.2%) and diagnosing (24.1%) software. The main use of digital health was for research (75.6%). Owning a laptop (adjusted odds ratio (aOR)=1.98, 95% CI, 1.01 - 3.86), availability of internet connection in the health facility (1.99, 1.05 - 3.7) and receiving professional training in ICT/Computer Sciences (2.04, 1.06 - 3.93), were associated with higher odds of using digital health.

Conclusion

this study shows a low level of use of digital health by healthcare workers. Providing newer devices, internet connection in health facilities and training in ICT for healthcare workers could improve its uptake.

The Role of Mobile Health Technology in Perioperative Spinal Care: A Systematic Scoping Review and Narrative Synthesis

Smartphone applications play a crucial role in contemporary healthcare by aiming to enhance patient care through technology. Mobile health (mHealth) applications have proven to have transformative potential in enhancing patients' outcomes in candidates undergoing orthopedic and spinal surgery. In the context of the pervasive use of smartphones and the exponential growth of mHealth apps, totaling over 99,000 in 2021, the applications had a significant impact on lifestyle management, supporting initiatives like smoking cessation with motivational reminders and progress tracking. Patient compliance is significantly enhanced, reducing surgery cancellations and improving outcomes through effective adherence to pre-operative treatments and instructions. Physiotherapy receives a substantial boost as mHealth facilitates video-guided exercises, potentially improving compliance and treatment outcomes. Data collection takes on innovative dimensions, with mHealth apps capturing post-operative metrics like physical activity, offering valuable insights into patient recovery trends. Remote care is streamlined through features like photo uploads and direct messaging, proving especially beneficial in times of crises such as the COVID-19 pandemic. Despite these merits, challenges emerge, including issues related to technological literacy, potential discrimination due to paywalls, and concerns about patient data confidentiality. Overcoming these challenges requires standardized approaches, legislative measures, and ongoing research to refine and optimize mHealth applications for diverse healthcare settings.

Significant effects of childhood obesity treatment with a web-based component in a randomised controlled study (Web-COP)

AIM

We evaluated the effect on body mass index standard deviation score (BMI-SDS) of a combined treatment (Web-COP) for children with obesity, including a web-based component targeting their parents.

METHODS

This randomised controlled trial recruited children 5-12 years of age with obesity (International Obesity Task Force BMI [IOTF-BMI] ≥30 kg/m2 ) from school health care and outpatient paediatric clinics in in Northern Sweden from 1 June 2019 to 21 June 2020. The children were randomised to Web-COP, an intervention with group sessions and a 12-week web-based component, or standard care. The primary outcome was the change in IOTF BMI-SDS after 6 months.

RESULTS

In total, 75 children (33 girls), mean age 9.5 years, were randomised, and 65/75 (87%) children and their parents completed the study, 35/39 (90%) in the Web-COP intervention and 30/36 (83%) in the standard care group. BMI-SDS at 6 months was changed from 3.08 to 2.81 in the intervention group compared to an increase from 3.07 to 3.16 in the standard care group, representing a significant difference between groups (p < 0.001). In the intervention group, 14/30 (47%) reduced their BMI-SDS ≥0.25, compared to none in the standard care group.

CONCLUSION

The parent-focused intervention significantly improved BMI-SDS in children with obesity as compared to children in standard care.

How to establish digital health ecosystems from the perspective of health service-organizations: A taxonomy developed based on expert interviews conducted as modified Delphi approach

Objective

Digital health ecosystems may be the next revolution in improving citizens' well-being, health delivery, data management, and health system processes, but solutions have not yet been broadly established. Reasons could be that health service-organizations have misaligned interests or lack capabilities. This study investigates reasons from a multi-health-service-organization perspective, differentiating between payers, insurers, healthcare providers, and innovators, detailing the expected value-adds, preferred participation roles, and required capabilities including a rating assessment.

Methods

Findings are based on a taxonomy development methodology, which combines a literature review with semi-structured qualitative expert interviews, conducted using a modified Delphi approach. Interviews were thematically analysed.

Results

In total, 21 experts across the four health service-organization groups were interviewed. The capability taxonomy includes a total of 16 capabilities, categorized in three themes: 'Health market', 'organizational', and 'technology and informatic'. Providers expect a value-add from strengthening their health process economics through efficiency gains but reveal the largest capability gaps, especially in 'interoperability' and 'platform'. Innovators' 'technology and informatic' capabilities complement well with those of payers for the 'health market'.

Conclusions

We present a health service-organization-specific three-stage approach for establishing digital health ecosystems. Payers and insurers should address their 'technology and informatic' capability gaps, using technical enablers or forming new entities to reduce dependencies from legacy information technology systems. Innovators should clarify their monetization models and create positive awareness for their services, possibly entering the market directly. Providers must address interoperability issues and may require incentives to encourage their participation. Findings suggest governmental policymakers to prioritize three health policy initiatives.

Development of a web-based care networking system to support visiting healthcare professionals in the community

BACKGROUND

The role of visiting health services has been proven to be effective in promoting the health of older populations. Hence, developing a web system for nurses may help improve the quality of visiting health services for community-dwelling frail older adults. This study was conducted to develop a web application that reflects the needs of visiting nurses.

METHODS

Visiting nurses of public health centers and community centers in South Korea participated in the design and evaluation process. Six nurses took part in the focus group interviews, and 21 visiting nurses and community center managers participated in the satisfaction evaluation. Focus group interviews were conducted to identify the needs of visiting nurses with respect to system function. Based on the findings, a web application that can support the effective delivery of home visiting services in the community was developed. An artificial intelligence (AI) algorithm was also developed to recommend health and welfare services according to each patient's health status. After development, a structured survey was conducted to evaluate user satisfaction with system features using Kano's model.

RESULTS

The new system can be used with mobile devices to increase the mobility of visiting nurses. The system includes 13 features that support the management of patient data and enhance the efficiency of visiting services (e.g., map, navigation, scheduler, protocol archives, professional advice, and online case conferencing). The user satisfaction survey revealed that nurses showed high satisfaction with the system. Among all features, the nurses were most satisfied with the care plan, which included AI-based recommendations for community referral.

CONCLUSIONS

The system developed from the study has attractive features for visiting nurses and supports their essential tasks. The system can help with effective case management for older adults requiring in-home care and reduce nurses' workload. It can also improve communication and networking between healthcare and long-term care institutions.

M-health Apps and Physical and Mental Health Outcomes of Sexual Minorities

Given the assigned health inequalities faced by sexual minorities, it is fitting to assess whether m-health could be associated with better health-related outcomes for these sexual minorities. The present study examines associations between m-physical and m-mental health apps and sexual minorities' physical and mental health status in Greece. The study utilized three waves of panel data collected in 2018, 2019, and 2020. The findings indicated associations between the use of m-physical and m-mental health apps and increased physical and mental health status for sexual minorities. The work concludes that m-health could enhance informational capabilities associated with increased levels of physical and mental health for sexual minorities. Indeed, the study found that, during the COVID-19 pandemic, sexual minorities experienced physical and mental health deteriorations. Interestingly, the estimates indicated that the association between the use of m-physical and m-mental health apps and increased mental health status for sexual minorities was stronger during the COVID-19 pandemic than before. The study suggests that tracking health-related information through m-health apps during periods of increased uncertainty could be associated with better health prevention and management. If m-health apps can alleviate adverse physical and mental health symptoms for sexual minorities, their potential should be considered.

Smartphone Usage Patterns Among Postgraduate Medical Students: A Central India Perspective on Adaptive Learning in Medicine

Introduction Technological developments are drawn on a path of continuous inventions. Smartphones have been used in educational activities to access course content, acquire information related to students' performance, and encourage discussion and sharing between students and teachers. Students as learners are the drivers of using new technology for their learning needs, and this is always evolving. Aim The aim of the study is to assess the usage of smartphones for academic learning among postgraduate medical students in a teaching institute in Central India. Materials and methods This cross-sectional, questionnaire-based study was conducted on 130 postgraduate medical students for a period of four months from 1 January 2022 to 30 April 2022. Results The mean age of the study subjects was 28.34 ± 3.22 years with the range being 23 to 44 years. Smartphones had a significant impact on the academic learning of postgraduate medical students. The major impacts of smartphones on academic learning were in the form of improved learning skills (60.91%), timely completion of assignments (40%), increased participation in discussions (34.55%), enhanced academic performance (33.64%), and development of critical and innovative thinking (29.09%). Conclusion A significant proportion of medical postgraduates are utilizing smartphones and social media for academic purposes. Although this new technology offers the potential to enhance learning and patient care, it has some inherent problems associated with its use. However, it may go a long way in redefining how we manage information in medicine.

Impact of Kayumidas© app on subjective symptoms and treatment adherence in allergic Rhinoconjunctivitis: Prospective Single-Arm interventional pilot study

INTRODUCTION

In the spring of 2021, a physician-supervised application (app) "Kayumidas© - Itchy Eye Alert" was released for allergy sufferers, which implements a function to predict pollen dispersal status for each user based on weather forecasts and notify users of the results. This app provides push notifications of warning levels of itchiness and other symptoms, countermeasures, and the time to use medication. However, no evaluation has been conducted to determine whether the use of app improves compliance with treatment. This study aimed to verify whether the use of a smartphone app is effective in relieving the symptoms of allergic conjunctivitis and rhinitis and how it changes patients' eye drop behavior.

METHODS

This was an investigator-initiated, observational, prospective cohort study that was conducted between February 2022 and May 2022. In 62 patients diagnosed with allergic conjunctivitis, the scores of nine subjective eye and nose symptoms (1-4) and eye itchiness (1-7) before and after using the app were compared using a questionnaire. The adherence scores for eye drops (1-4) were also investigated using a questionnaire.

RESULTS

The scores for all five ocular subjective symptoms and all four nasal subjective symptoms improved significantly after app use (p < 0.01). Both itching scores (4.1 ± 1.1 vs. 1.6 ± 0.5, p < 0.01) and eye drop compliance scores (2.0 ± 0.7 vs. 3.9 ± 0.3, p < 0.01) improved significantly after app use.

CONCLUSION

The use of the Kayumidas© app improved adherence to eye drops and the subjective symptoms of allergic conjunctivitis and rhinitis. Thus, app use effectively improves symptoms by changing behavior and improving self-care awareness regarding treatment in patients with allergic diseases.

Investigating Factors Associated with Postmastectomy Emergency Department Visits: A Population-Based Analysis

BACKGROUND

In 2016, a multi-pronged pathway was implemented across 13 hospitals to improve the mastectomy perioperative care experience with one objective being to safely allow same day surgery mastectomy. While the pathway successfully increased same day mastectomy rates from 1.7 to 73.0%, the rate of postoperative emergency department (ED) visits remained high at > 20%, despite focused interventions to enhance perioperative support.

AIM

To investigate potential factors associated with high postoperative ED visits following mastectomies in Alberta, Canada.

METHODS

Data was collected using the Discharge Abstract Database and the National Ambulatory Care Reporting System database. Eligible patients included all women over 18 years old who underwent a mastectomy province-wide between 2004 and 2020. Patient demographics were collected. Primary outcome of interest was ED visit within 30 days of mastectomy. Univariate and multivariable analyses were performed to identify independent predictors for post-operative ED visits.

RESULTS

A total of 19,974 patients had mastectomy during the study period, of which 4590 (23%) had an ED visit within 30 days of surgery. Independent factors associated with ED visits were increasing age, overnight stay mastectomy, reconstruction, certain comorbidities, and living rurally.

CONCLUSIONS

Post-operative ED visits remain high despite initiating a province-wide surgical pathway in 2016 which emphasizes patient education and improved perioperative care and supports. Currently, the majority of ED visits are manageable in non-emergent settings. Patient populations at higher risk for ED visits groups may benefit from additional targeted support and resources to reduce unplanned ED visits.

Organizing and Sharing Medical Knowledge Among Anesthesiology and Intensive care Residents: Evaluating Existing Practices and the Feasibility of Implementing a Dedicated Multiplatform Application

Treating patients with up-to-date medical knowledge is an ongoing goal for healthcare workers and implies efficient knowledge management at the point of care. Widely available mobile wireless technologies influence practices but a significant gap remains between technological possibilities and actual usage. The purpose of this study was to analyze residents' baseline practices in managing medical knowledge and to evaluate the use and impact of an innovative multiplatform application dedicated to anesthesiology and intensive care residents. This study took place in Rennes Teaching Hospital and comprised two distinct surveys. First, in April 2018, all residents received a ten-items online survey focusing on managing medical knowledge. Then, through a second online survey constituted of ten items, we sought to assess the use of a new multiplatform cloud-based application named "DansMaBlouse", dedicated to sharing and indexing medical knowledge, in anesthesiology and intensive care residents. Among 148 residents that answered the evaluation survey, the most sought out pieces of information in clinical setting were a phone or fax number (74%), drugs' characteristics (68%) and expert guidelines (57%). The main sources were senior staff (68%), medical databases (60%) and an Internet search engine (59%). Computers and smartphones were more frequently used than bound paper notebooks. After implementation of the multiplatform application DansMaBlouse, fifty-nine (82%) of the 72 residents that answered the evaluation survey reported using the application and 39% used it more than ten times. Among application users, 90% found it easy to use and 92% agreed that it improved point-of-care access to knowledge. Accessing appropriate medical knowledge at the point of care remains an issue for residents and can be improved by a multiplatform application combining personal and shared up-to-date resources.

Mobile app for comprehensive management of orthodontic patients with fixed appliances : Design and use

OBJECTIVES

This study aimed to design and implement a mobile phone application (app) aiming to enhance the cooperation and oral hygiene of orthodontic patients.

METHODS

An orthodontic app named "Labkhand" was designed by a team of orthodontists and programmers according to the needs and scheduled interventions for patients. The aim of this app was to obviate the orthodontic needs of patients by providing educational content in the form of texts and videos, oral hygiene reminders, appointment reminders, and nutrition reminders. It also enabled instant messaging and chatting between patients and dental personnel. In this study, 61 patients were monitored during their orthodontic treatment procedure. All patients were evaluated using a questionnaire with 7 questions before and after a 6-month treatment period. A total of 31 patients were instructed to use the app, while the other 30 patients received treatment without the app. The collected data were analyzed using paired t‑test and analysis of covariance (ANCOVA) test.

RESULTS

While the control group's questionnaire score remained almost the same (P > 0.05), the mean questionnaire score of patients in the intervention group significantly increased after using the app compared to the baseline scores acquired before using the app (P < 0.001). The greatest improvement was noted in topics related to "reminding of appointments", "general information about orthodontic treatment", and "oral hygiene maintenance and instructions". "Quality of services" and "patient-orthodontist communication" showed the least improvement in patient satisfaction.

CONCLUSIONS

The Labkhand orthodontic app has multiple functions and can obviate the needs of orthodontic patients easily and at a low cost.

Development and feasibility testing of a psychoeducational tool to support the return to work (RTW) of individuals with traumatic brain injury (TBI): The RTW after TBI app

To document the development and clinician evaluation of a psychoeducational and support tool: the return to work after traumatic brain injury app (RTW after TBI app). Co-design of the app involved the collaboration of traumatic brain injury (TBI) /vocational rehabilitation (VR) expert researchers (n = 4) and lived experience co-designers (individuals with TBI who had previously returned to work; n = 4). Twelve TBI/VR clinician reviewers then evaluated the app. Content analysis of TBI/VR clinician reviewers' interviews revealed four themes: content, usability (functional ease of use), utility (applicability to RTW after TBI) and suggestions for improvements. All clinicians reported that they would use the RTW after TBI app in their clinical practice. Although several aspects were reported to potentially limit the app's appropriateness for some TBI clients, many feasible improvements were suggested to address limitations. These improvements aim to increase the utility of the app with a wider range of clients and extend its use to other settings. Future research should evaluate, in a clinical trial, the efficacy of the RTW after TBI app in supporting individuals with TBI and their vocational providers and optimizing RTW success.

Designing High-Fidelity Mobile Health for Depression in Indonesian Adolescents Using Design Science Research: Mixed Method Approaches

BACKGROUND

COVID-19 mitigation protocols, enacted to control the pandemic, have also been shown to have a negative impact on mental health, including the mental health of adolescents. The threat of being infected by SARS-CoV-2 and substantial changes in lifestyle, including limited social interaction due to stay-at-home orders, led to loneliness as well as depressive symptoms. However, offline psychological assistance is restricted, as psychologists are bounded by mitigation protocols. Further, not all adolescents' guardians are open to their children attending or have the means to pay for psychological service; thus, adolescents remain untreated. Having a mobile health (mHealth) app for mental health that uses monitoring, provides social networks, and delivers psychoeducation may provide a solution, especially in countries that have limited health facilities and mental health workers.

OBJECTIVE

This study aimed to design an mHealth app to help prevent and monitor depression in adolescents. The design of this mHealth app was carried out as a high-fidelity prototype.

METHODS

We used a design science research (DSR) methodology with 3 iterations and 8 golden rule guidelines. The first iteration used interviews, and the second and third iterations used mixed method approaches. The DSR stages include the following: (1) identify the problem; (2) define the solution; (3) define the solution objective; (4) develop, demonstrate, and evaluate the solution; and (5) communicate the solution. This study involved students and medical experts.

RESULTS

The first iteration resulted in a wireframe and prototype for the next iteration. The second iteration resulted in a System Usability Scale score of 67.27, indicating a good fit. In the third iteration, the system usefulness, information quality, interface quality, and overall values were 2.416, 2.341, 2.597, and 2.261, respectively, indicating a good design. Key features of this mHealth app include a mood tracker, community, activity target, and meditation, and supporting features that complement the design include education articles and early detection features.

CONCLUSIONS

Our findings provide guidance for health facilities and to design and implement future mHealth apps to help treat adolescent depression.

Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis

Patient engagement is currently considered the cornerstone of a revolution in healthcare for its positive impact on health outcomes, health behaviors and healthcare costs. Patient engagement is focused on personalized care to consumers through providing knowledge, skills and confidence. Mobile health (mHealth) applications are an innovative means to facilitate patient engagement. Nevertheless, the extent to which the current mHealth applications are designed to engage patients in managing their chronic diseases is unclear. This paper aims to identify the Persuasive System Design (PSD) features present in current mHealth applications that increased the engagement of patients with chronic diseases. This review also aims to identify patient engagement-related outcomes of these features. This paper conducted a systematic literature review and meta-analysis to find relevant studies published from all years up to 2020 through six databases: PubMed, Scopus, Web of Science, Cinahl plus with full text, MEDLINE with full text, and Cochrane Library (Central register of controlled trials). The database search returned 4939 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 13. A qualitative content analysis was performed to identify PSD model features and their patient engagement-related outcomes. The quality assessment has been done through the Cochrane Risk of Bias tool for RCTs. The systematic literature review and meta-analysis identified eleven PSD features that can increase patient engagement through using mHealth applications. The identified PSD features have been shown to have various patient engagement-related outcomes. Behavior Change Techniques (BCTs) were combined with the identified PSD features. This paper identified persuasive features of mHealth application design that influence the engagement of patients with chronic diseases toward changing their behavior. The impact of these features is also analyzed in this review. The results show that an mHealth technology-mediated patient engagement model is needed.

The use of technology to improve medication adherence in heart failure patients: a systematic review of randomised controlled trials

BACKGROUND

Heart failure is an ever-growing contributor to morbidity and mortality in the ageing population. Medication adherence rates among the HF population vary widely in the literature, with a reported range of 10-98%. Technologies have been developed to improve adherence to therapies and other clinical outcomes.

AIMS

This systematic review aims to investigate the effect of different technologies on medication adherence in patients with heart failure. It also aims to determine their impact on other clinical outcomes and examine the potential of these technologies in clinical practice.

METHODS

This systematic review was conducted using the following databases: PubMed Central UK, Embase, MEDLINE, CINAHL Plus, PsycINFO and Cochrane Library until October 2022. Studies were included if they were randomised controlled trials that used technology to improve medication adherence as an outcome in heart failure patients. The Cochrane Collaboration's Risk of Bias tool was used to assess individual studies. This review was registered with PROSPERO (ID: CRD42022371865).

RESULTS

A total of nine studies met the inclusion criteria. Two studies showed statistically significant improvement in medication adherence following their respective interventions. Eight studies had at least one statistically significant result in the other clinical outcomes it measured, including self-care, quality of life and hospitalisations. All studies that evaluated self-care management showed statistically significant improvement. Improvements in other outcomes, such as quality of life and hospitalisations, were inconsistent.

CONCLUSION

It is observable that there is limited evidence for using technology to improve medication adherence in heart failure patients. Further studies with larger study populations and validated self-reporting methods for medication adherence are required.

An update on mobile applications collecting data among subjects with or at risk of Alzheimer's disease

Smart mobile phone use is increasing worldwide, as is the ability of mobile devices to monitor daily routines, behaviors, and even cognitive changes. There is a growing opportunity for users to share the data collected with their medical providers which may serve as an accessible cognitive impairment screening tool. Data logged or tracked in an app and analyzed with machine learning (ML) could identify subtle cognitive changes and lead to more timely diagnoses on an individual and population level. This review comments on existing evidence of mobile device applications designed to passively and/or actively collect data on cognition relevant for early detection and diagnosis of Alzheimer's disease (AD). The PubMed database was searched to identify existing literature on apps related to dementia and cognitive health data collection. The initial search deadline was December 1, 2022. Additional literature published in 2023 was accounted for with a follow-up search prior to publication. Criteria for inclusion was limited to articles in English which referenced data collection via mobile app from adults 50+ concerned, at risk of, or diagnosed with AD dementia. We identified relevant literature (n = 25) which fit our criteria. Many publications were excluded because they focused on apps which fail to collect data and simply provide users with cognitive health information. We found that although data collecting cognition-related apps have existed for years, the use of these apps as screening tools remains underdeveloped; however, it may serve as proof of concept and feasibility as there is much supporting evidence on their predictive utility. Concerns about the validity of mobile apps for cognitive screening and privacy issues remain prevalent. Mobile applications and use of ML is widely considered a financially and socially viable method of compiling symptomatic data but currently this large potential dataset, screening tool, and research resource is still largely untapped.

The Craving-Manager smartphone app designed to diagnose substance use/addictive disorders, and manage craving and individual predictors of relapse: a study protocol for a multicenter randomized controlled trial

Background

The rate of individuals with addiction who are currently treated are low, and this can be explained by barriers such as stigma, desire to cope alone, and difficulty to access treatment. These barriers could be overcome by mobile technologies. EMI (Ecological Momentary Intervention) is a treatment procedure characterized by the delivery of interventions (messages on smartphones) to people in their daily lives. EMI presents opportunities for treatments to be available to people during times and in situations when they are most needed. Craving is a strong predictor of relapse and a key target for addiction treatment. Studies using Ecological Momentary Assessment (EMA) method have revealed that, in daily life, person-specific cues could precipitate craving, that in turn, is associated with a higher probability to report substance use and relapse in the following hours. Assessment and management of these specific situations in daily life could help to decrease addictive use and avoid relapse. The Craving-Manager smartphone app has been designed to diagnose addictive disorders, and assess and manage craving as well as individual predictors of use/relapse. It delivers specific and individualized interventions (counseling messages) composed of evidence-based addiction treatments approaches (cognitive behavioral therapy and mindfulness). The Craving-Manager app can be used for any addiction (substance or behavior). The objective of this protocol is to evaluate the efficacy of the Craving-Manager app in decreasing use (of primary substance(s)/addictive behavior(s)) over 4 weeks, among individuals on a waiting list for outpatient addiction treatment.

Methods/design

This multicenter double-blind randomized controlled trial (RCT) will compare two parallel groups: experimental group (full interventional version of the app, 4 weeks, EMA + EMI), versus control group (restricted version of the app, 4 weeks, only EMA). Two hundred and seventy-four participants will be recruited in 6 addiction treatment centers in France.

Discussion

This RCT will provide indication on how the Craving-Manager app will reduce addictive use (e.g., better craving management, better stimulus control) in both substance and behavioral addictions. If its efficacy is confirmed, the app could offer the possibility of an easy to use and personalized intervention accessible to the greatest number of individuals with addiction.

Clinical Trial Registration

ClinicalTrials.gov: NCT04732676.

Susceptibility to Breast Cancer Misinformation Among Chinese Patients: Cross-sectional Study

BACKGROUND

Currently, breast cancer is the most commonly diagnosed cancer and the sixth-leading cause of cancer-related deaths among Chinese women. Worse still, misinformation contributes to the aggravation of the breast cancer burden in China. There is a pressing need to investigate the susceptibility to breast cancer misinformation among Chinese patients. However, no study has been performed in this respect.

OBJECTIVE

This study aims to ascertain whether some demographics (age, gender, and education), some health literacy skills, and the internal locus of control are significantly associated with the susceptibility to misinformation about all types of breast cancers among randomly sampled Chinese patients of both genders in order to provide insightful implications for clinical practice, health education, medical research, and health policy making.

METHODS

We first designed a questionnaire comprising 4 sections of information: age, gender, and education (section 1); self-assessed disease knowledge (section 2); the All Aspects of Health Literacy Scale (AAHLS), the eHealth Literacy Scale (eHEALS), the 6-item General Health Numeracy Test (GHNT-6), and the "Internal" subscale of the Multidimensional Health Locus of Control (MHLC) scales (section 3); and 10 breast cancer myths collected from some officially registered and authenticated websites (section 4). Subsequently, we recruited patients from Qilu Hospital of Shandong University, China, using randomized sampling. The questionnaire was administered via wenjuanxing, the most popular online survey platform in China. The collected data were manipulated in a Microsoft Excel file. We manually checked the validity of each questionnaire using the predefined validity criterion. After that, we coded all valid questionnaires according to the predefined coding scheme, based on Likert scales of different point (score) ranges for different sections of the questionnaire. In the subsequent step, we calculated the sums of the subsections of the AAHLS and the sums of the 2 health literacy scales (the eHEALS and GHNT-6) and the 10 breast cancer myths. Finally, we applied logistic regression modeling to relate the scores in section 4 to the scores in sections 1-3 of the questionnaire to identify what significantly contributes to the susceptibility to breast cancer misinformation among Chinese patients.

RESULTS

All 447 questionnaires collected were valid according to the validity criterion. The participants were aged 38.29 (SD 11.52) years on average. The mean score for their education was 3.68 (SD 1.46), implying that their average educational attainment was between year 12 and a diploma (junior college). Of the 447 participants, 348 (77.85%) were women. The mean score for their self-assessed disease knowledge was 2.50 (SD 0.92), indicating that their self-assessed disease knowledge status was between "knowing a lot" and "knowing some." The mean scores of the subconstructs in the AAHLS were 6.22 (SD 1.34) for functional health literacy, 5.22 (SD 1.54) for communicative health literacy, and 11.19 (SD 1.99) for critical health literacy. The mean score for eHealth literacy was 24.21 (SD 5.49). The mean score for the 6 questions in the GHNT-6 was 1.57 (SD 0.49), 1.21 (SD 0.41), 1.24 (SD 0.43), 1.90 (SD 0.30), 1.82 (SD 0.39), and 1.73 (SD 0.44), respectively. The mean score for the patients' health beliefs and self-confidence was 21.19 (SD 5.63). The mean score for their response to each myth ranged from 1.24 (SD 0.43) to 1.67 (SD 0.47), and the mean score for responses to the 10 myths was 14.03 (SD 1.78). Through interpreting these descriptive statistics, we found that Chinese female patients' limited ability to rebut breast cancer misinformation is mainly attributed to 5 factors: (1) lower communicative health literacy, (2) certainty about self-assessed eHealth literacy skills, (3) lower general health numeracy, (4) positive self-assessment of general disease knowledge, and (5) more negative health beliefs and lower levels of self-confidence.

CONCLUSIONS

Drawing on logistic regression modeling, we studied the susceptibility to breast cancer misinformation among Chinese patients. The predicting factors of the susceptibility to breast cancer misinformation identified in this study can provide insightful implications for clinical practice, health education, medical research, and health policy making.

A novel smartphone application for the tracking of procedural numbers and trainee experience in gastrointestinal endoscopy

OBJECTIVES

The tracking and documentation of procedures in gastrointestinal endoscopy including therapeutic interventions is an essential but challenging process. The University of Alberta has developed a smartphone app to help facilitate this task. This study evaluated the functionality, usefulness, and user satisfaction of this app.

METHODS

Four Gastroenterology (GI) residents and two therapeutic endoscopy fellows participated in the study. The trainees submitted all their data into the app from the procedures in which they participated hands-on for one year, data was collected and analyzed on the app and the website associated with it.

RESULTS

Trainees were able to register the procedures immediately after each procedure without difficulty, this data was available to be reviewed at anytime in the app and associated website. Furthermore, the data collected was able to be transformed into tables and graphs on the app website. The total number of procedures and therapeutic interventions performed were easily accessed in the app and website at anytime. The app facilitated the calculation of the cecal intubation rate in colonoscopy and the cannulation rate in ERCP for the therapeutic endoscopy trainee. Trainees reported excellent experience with the app capabilities.

CONCLUSIONS

A novel smartphone app was useful in collecting meaningful data submitted by gastrointestinal endoscopy trainees, furthermore, through an associated website, it was capable to create graphs and tables to show and facilitate the calculation of meaningful data such as key performance indicators.

Diagnostic accuracy of eHealth literacy measurement tools in older adults: a systematic review

BACKGROUND

In Canada, virtual health care rapidly expanded during the COVID-19 pandemic. There is substantial variability between older adults in terms of digital literacy skills, which precludes equitable participation of some older adults in virtual care. Little is known about how to measure older adults' electronic health (eHealth) literacy, which could help healthcare providers to support older adults in accessing virtual care. Our study objective was to examine the diagnostic accuracy of eHealth literacy tools in older adults.

METHODS

We completed a systematic review examining the validity of eHealth literacy tools compared to a reference standard or another tool. We searched MEDLINE, EMBASE, CENTRAL/CDSR, PsycINFO and grey literature for articles published from inception until January 13, 2021. We included studies where the mean population age was at least 60 years old. Two reviewers independently completed article screening, data abstraction, and risk of bias assessment using the Quality Assessment for Diagnostic Accuracy Studies-2 tool. We implemented the PROGRESS-Plus framework to describe the reporting of social determinants of health.

RESULTS

We identified 14,940 citations and included two studies. Included studies described three methods for assessing eHealth literacy: computer simulation, eHealth Literacy Scale (eHEALS), and Transactional Model of eHealth Literacy (TMeHL). eHEALS correlated moderately with participants' computer simulation performance (r = 0.34) and TMeHL correlated moderately to highly with eHEALS (r = 0.47-0.66). Using the PROGRESS-Plus framework, we identified shortcomings in the reporting of study participants' social determinants of health, including social capital and time-dependent relationships.

CONCLUSIONS

We found two tools to support clinicians in identifying older adults' eHealth literacy. However, given the shortcomings highlighted in the validation of eHealth literacy tools in older adults, future primary research describing the diagnostic accuracy of tools for measuring eHealth literacy in this population and how social determinants of health impact the assessment of eHealth literacy is needed to strengthen tool implementation in clinical practice.

PROTOCOL REGISTRATION

We registered our systematic review of the literature a priori with PROSPERO (CRD42021238365).

Lessons from digital technology-enabled health interventions implemented during the coronavirus pandemic to improve maternal and birth outcomes: a global scoping review

BACKGROUND

Timely access to essential obstetric and gynecologic healthcare is an effective method for improving maternal and neonatal outcomes; however, the COVID-19 pandemic impacted pregnancy care globally. In this global scoping review, we select and investigate peer-reviewed empirical studies related to mHealth and telehealth implemented during the pandemic to support pregnancy care and to improve birth outcomes.

METHODS

We searched MEDLINE and PubMed, Scopus, CINAHL and Web of Science for this Review because they include peer-reviewed literature in the disciplines of behavioral sciences, medicine, clinical sciences, health-care systems, and psychology. Because our investigative searches reviewed that there is considerable 'grey literature' in this area; we did not restrict our review to any study design, methods, or place of publication. In this Review, peer-reviewed preprints were comparable to published peer-reviewed articles, with relevant articles screened accordingly.

RESULTS

The search identified 1851 peer reviewed articles, and after removal of duplicates, using inclusion and exclusion criteria, only 22 studies were eligible for inclusion in the review published from January 2020 to May 2022. mHealth interventions accounted for 72.7% (16 of 22 studies) and only 27.3% (6 of 22 studies) were telehealth studies. There were only 3 example studies that integrated digital technologies into healthcare systems and only 3 studies that developed and evaluated the feasibility of mobile apps. Experimental studies accounted 68.8% of mHealth studies and only 33.3% studies of telehealth studies. Key functionalities of the pregnancy apps and telehealth platforms focused on mental and physical wellness, health promotion, patient tracking, health education, and parenting support. Implemented interventions ranged from breastfeeding and selfcare to behavioral health. Facilitators of uptake included perceived benefits, user satisfaction and convenience. Mobile apps and short messaging services were the primary technologies employed in the implemented mHealth interventions.

CONCLUSION

Although our Review emphasizes a lack of studies on mHealth interventions and data from pregnant women during the COVID-19 crisis, the review shows that implementation of digital health interventions during emergencies are inevitable given their potential for supporting pregnancy care. There is also a need for more randomized clinical trials and longitudinal studies to better understand the effectiveness and feasibility of implementing such interventions during disease outbreaks and emergencies.

Effectiveness of digital care platform CMyLife for patients with chronic myeloid leukemia: results of a patient-preference trial

BACKGROUND

Two most important factors determining treatment success in chronic myeloid leukemia (CML) are adequate medication compliance and molecular monitoring albeit still being suboptimal. The CMyLife platform is an eHealth innovation, co-created with and for CML patients, aiming to improve their care, leading to an increased quality of life and the opportunity of hospital-free care.

OBJECTIVE

To explore the effectiveness of CMyLife in terms of information provision, patient empowerment, medication compliance, molecular monitoring, and quality of life.

METHODS

Effectiveness of CMyLife was explored using a patient-preference trial. Upon completion of the baseline questionnaire, participants actively used (intervention group) or did not actively use (questionnaire group) the CMyLife platform for at least 6 months, after which they completed the post-intervention questionnaire. Scores between the intervention group and the questionnaire group were compared with regard to the within-subject change between baseline and post-measurement using Generalized Estimating Equation models.

RESULTS

At baseline, 33 patients were enrolled in the questionnaire group and 75 in the intervention group. Online health information knowledge improved significantly when actively using CMyLife and patients felt more empowered. No significant improvements were found regarding medication compliance and molecular monitoring, which were already outstanding. Self-reported effectiveness showed that patients experienced that using CMyLife improved their medication compliance and helped them to oversee their molecular monitoring. Patients using CMyLife reported more symptoms but were better able to manage these.

CONCLUSIONS

Since hospital-free care has shown to be feasible in time of the COVID-19 pandemic, eHealth-based innovations such as CMyLife could be a solution to maintain the quality of care and make current oncological health care services more sustainable.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04595955 , 22/10/2020.

Biofilm formation by E. coli and S. aureus on cellphone cover: sensitivity to commercially available sanitizers

Presence of pathogens on the cellphones and their accessories poses a significant risk for public health. This study aimed to determine the biofilm-forming capability of S. aureus and E. coli on pieces made from a different commercially available cell phone and aadditionally to test the effectiveness of the most common commercially available sanitizers. Therefore, bacterial biofilm biomasses were quantitatively determined on cellphone covers using crystal violet assay in the presence and absence of common sanitizers. This study revealed that S. aureus and E. coli could form biofilms on the surfaces of all cellphones covers. Additionally, the sanitizers that contain sodium hypochlorite 5.25% and those composed of 38.9% ethanol and 0.05% dodecyl dimethyl ammonium chloride showed the highest log reduction in the number of viable cells after 5 minutes of exposure against biofilms formed by both E. coli and S. aureus compared to other tested sanitizers (chloroxylenol 4.8%, 2-propanol 64%, and ethanol 70%). Moreover, 4.8% chloroxylenol and 70% ethanol-based sanitizers showed log reductions significantly higher than 2-propanol-based ones. In conclusion, cellphone covers were shown to be suitable surfaces for microbial biofilm formation produced by S. aureus and E. coli. The antimicrobial activity of commercially available sanitizers against these bacterial biofilms was variable, with sodium hypochlorite and ethanol/dodecyl dimethyl ammonium chloride sanitizer being the most effective.

Protection Motivation Perspective Regarding the Use of COVID-19 Mobile Tracing Apps Among Public Users: Empirical Study

BACKGROUND

Access to data is crucial for decision-making; this fact has become more evident during the pandemic. Data collected using mobile apps can positively influence diagnosis and treatment, the supply chain, and the staffing resources of health care facilities. Developers and health care professionals have worked to create apps that can track a person's COVID-19 status. For example, these apps can monitor positive COVID-19 test results and vaccination status. Regrettably, people may be concerned about sharing their data with government or private sector organizations that are developing apps. Understanding user perceptions is essential; without substantial user adoption and the use of mobile tracing apps, benefits cannot be achieved.

OBJECTIVE

This study aimed to assess the factors that positively and negatively affect the use of COVID-19 tracing apps by examining individuals' perceptions about sharing data on mobile apps, such as testing regularity, infection, and immunization status.

METHODS

The hypothesized research model was tested using a cross-sectional survey instrument. The survey contained 5 reflective constructs and 4 control variables selected after reviewing the literature and interviewing health care professionals. A digital copy of the survey was created using Qualtrics. After receiving approval, data were collected from 367 participants through Amazon Mechanical Turk (MTurk). Participants of any gender who were 18 years or older were considered for inclusion to complete the anonymized survey. We then analyzed the theoretical model using structural equation modeling.

RESULTS

After analyzing the quality of responses, 325 participants were included. Of these 325 participants, 216 (66.5%) were male and 109 (33.5%) were female. Among the participants in the final data set, 72.6% (236/325) were employed. The results of structural equation modeling showed that perceived vulnerability (β=0.688; P<.001), self-efficacy (β=0.292; P<.001), and an individual's prior infection with COVID-19 (β=0.194; P=.002) had statistically significant positive impacts on the intention to use mobile tracing apps. Privacy concerns (β=-0.360; P<.001), risk aversion (β=-0.150; P=.09), and a family member's prior infection with COVID-19 (β=-0.139; P=.02) had statistically significant negative influences on a person's intention to use mobile tracing apps.

CONCLUSIONS

This study illustrates that various user perceptions affect whether individuals use COVID-19 tracing apps. By working collaboratively on legislation and the messaging provided to potential users before releasing an app, developers, health care professionals, and policymakers can improve the use of tracking apps. Health care professionals need to emphasize disease vulnerability to motivate people to use mobile tracing apps, which can help reduce the spread of viruses and diseases. In addition, more work is needed at the policy-making level to protect the privacy of users, which in return can increase user engagement.

Telehealth examination of the lumbar spine

BACKGROUND

Telehealth evaluations of musculoskeletal conditions have increased due to the stay-at-home policies enacted during the COVID-19 pandemic. Back pain is one of the most common complaints in primary care. While telehealth may never supplant in-person evaluation of back pain, it is imperative in a changing world to learn to perform this evaluation via telephone or video. Virtual visits rely on history-taking and patient self-reported descriptions of pain elicited from self-palpation or specific movements while on the telephone with the clinician. Video examinations provide a unique way of evaluating the lower back compared to telephone because of the ability to visualize the actions of the patient.

OBJECTIVE

To create an evaluation pathway for examination of the lumbar spine via telehealth.

METHODS

Our group has created a step-by-step evaluation pathway to help physicians direct their patients through typical lumbar examination elements, including inspection, palpation, range of motion, and strength, special, and functional testing.

RESULTS

We have developed a table of questions and instructions and a glossary of images of each maneuver to facilitate lumbar spine examination via telemedicine.

CONCLUSIONS

This paper provides a guide for extracting clinically relevant information while performing telemedicine examinations of the lumbar spine.

Development of Mobile Application-Based System for Improving Medication Adherence Among Cancer Patients Receiving Palliative Therapy

Objectives

Cancer patients seeking palliative care faces distressing symptoms which affect their quality of life adversely. Patients' lack of adherence to analgesics is one of the major factors contributing to the undertreatment of cancer pain. The objective of this paper is to outline the development of a mobile application-based system to develop a physician-patient relationship and to improve adherence to medications prescribed for cancer pain management.

Material and Methods

The mobile application-based system is developed using alarm and cloud based data sysncronisation for improving medication adherence and self-recording symptoms among cancer patients receiving palliative therapy at a palliative care clinic.

Results

Ten palliative medicine physicians tested the project website and the mobile application thoroughly instead of patients. The physician recoded the prescription and other details on the project website. The data transferred from website to mobile application. The mobile application reminded scheduled medication by alarm, collected medical adherence details, daily symptom observation, and their severity and SOS medication details. The data from the mobile application was transferred back to project website successfully.

Conclusion

The developed system can directly improve the physician-patient relationship, and improve better communication and sharing of information between physician and patient. This will impact the quality of life of the patient, improve the awareness of the patient about the disease, and may reduce rate of hospitalisation. This will also help physicians to treat patients efficiently. The developed system is being tested under a randomised control trial study. The findings of the study can be generalised to all patients suffering from chronic illnesses and on long-term medications.

Effect of Mobile Phone App-Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Most patients with cancer experience psychological or physical distress, which can adversely affect their quality of life (QOL). Smartphone app interventions are increasingly being used to improve QOL and psychological outcomes in patients with cancer. However, there is insufficient evidence regarding the effect of this type of intervention, with conflicting results in the literature.

OBJECTIVE

In this systematic review and meta-analysis, we investigated the effectiveness of mobile phone app interventions on QOL and psychological outcomes in adult patients with cancer, with a special focus on intervention duration, type of cancer, intervention theory, treatment strategy, and intervention delivery format.

METHODS

We conducted a literature search of PubMed, Web of Science, the Cochrane Library, Embase, Scopus, China National Knowledge Infrastructure, and WanFang to identify studies involving apps that focused on cancer survivors and QOL or psychological symptoms published from inception to October 30, 2022. We selected only randomized controlled trials that met the inclusion criteria and performed systematic review and meta-analysis. The standardized mean difference (SMD) with a 95% CI was pooled when needed. Sensitivity and subgroup analyses were also conducted.

RESULTS

In total, 30 randomized controlled trials with a total of 5353 participants were included in this meta-analysis. Compared with routine care, app interventions might improve QOL (SMD=0.39, 95% CI 0.27-0.51; P<.001); enhance self-efficacy (SMD=0.15, 95% CI 0.02-0.29; P=.03); and alleviate anxiety (SMD=-0.64, 95% CI -0.73 to -0.56; P<.001), depression (SMD=-0.33, 95% CI -0.58 to -0.08; P=.009), and distress (SMD=-0.34, 95% CI -0.61 to -0.08; P=.01). Short-term (duration of ≤3 months), physician-patient interaction (2-way communication using a smartphone app), and cognitive behavioral therapy interventions might be the most effective for improving QOL and alleviating adverse psychological effects.

CONCLUSIONS

Our study showed that interventions using mobile health apps might improve QOL and self-efficacy as well as alleviate anxiety, depression, and distress in adult cancer survivors. However, these results should be interpreted with caution because of the heterogeneity of the interventions and the study design. More rigorous trials are warranted to confirm the suitable duration and validate the different intervention theories as well as address methodological flaws in previous studies.

TRIAL REGISTRATION

PROSPERO CRD42022370599; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=370599.

Ethical, legal, and social aspects of symptom checker applications: a scoping review

Symptom Checker Applications (SCA) are mobile applications often designed for the end-user to assist with symptom assessment and self-triage. SCA are meant to provide the user with easily accessible information about their own health conditions. However, SCA raise questions regarding ethical, legal, and social aspects (ELSA), for example, regarding fair access to this new technology. The aim of this scoping review is to identify the ELSA of SCA in the scientific literature. A scoping review was conducted to identify the ELSA of SCA. Ten databases (e.g., Web of Science and PubMed) were used. Studies on SCA that address ELSA, written in English or German, were included in the review. The ELSA of SCA were extracted and synthesized using qualitative content analysis. A total of 25,061 references were identified, of which 39 were included in the analysis. The identified aspects were allotted to three main categories: (1) Technology; (2) Individual Level; and (3) Healthcare system. The results show that there are controversial debates in the literature on the ethical and social challenges of SCA usage. Furthermore, the debates are characterised by a lack of a specific legal perspective and empirical data. The review provides an overview on the spectrum of ELSA regarding SCA. It offers guidance to stakeholders in the healthcare system, for example, patients, healthcare professionals, and insurance providers and could be used in future empirical research to investigate the perspectives of those affected, such as users.

Factors related to moderate exercise during COVID-19 for overweight and obese individuals: A secondary analysis of HINTS data

Objective

COVID-19 has exacerbated pre-existing rates of overweight and obesity in the United States. mHealth technologies are gaining in popularity for its potential to reduce obesity, if facilitated by patient-centered communication. This study explores predictors of overweight and obese individuals' exercise levels during COVID-19.

Methods

2191 respondents who visited a doctor in the past year and self-reported being overweight were selected from the 2020 Health Information National Trends Survey (HINTS). Respondents reported their physical activity, beliefs about obesity, health tracking behaviors, and communication with providers during the pandemic. Structural equation modeling was used to explore connections among the variables.

Results

Patient-provider (e-)communication was significantly associated with changes in people's obesity-related beliefs and mHealth tracking usage, predicting moderate exercise during the pandemic.

Conclusion

The findings illustrate the need for patient-centered communication encounters to include discussions on mHealth technologies and accessible methods of engaging in physical activity.Innovation: This study examined secondary data provided by overweight and obese individuals from the early days of the COVID-19 pandemic; this population may benefit from targeted health interventions using mHealth technologies. Our findings suggest that healthcare providers should engage patients through mHealth technology and seek to improve digital health literacy to progress physical activity nationwide.

Perception about Health Applications (Apps) in Smartphones towards Telemedicine during COVID-19: A Cross-Sectional Study

BACKGROUND

The use of health applications (apps) in smartphones increased exponentially during COVID-19. This study was conducted the with the aim to understand the factors that determine the consumer's perception of health apps in smartphones towards telemedicine during COVID-19 and to test any relation between these factors and consumers towards Telemedicine in India.

METHODS

This questionnaire-based cross-sectional study was conducted from July 2021 to December 2021 in India. Out of 600 selected participants, 594 responded and in that 535 valid questionnaires were measured. The questionnaire consists of close-ended responses, with the first part consisting of demographic information, the second part consisting of questions associated with consumers' perceptions and the third part kept for suggestions and complaints. The questionnaire was distributed using digital platforms via WhatsApp or email. A 5-point Likert scale, ranging from strongly agree' (5) to strongly disagree (1) was used to record responses.

RESULTS

Results revealed a high response rate of 90%. The highest score was obtained for the question assessing the satisfaction of the users towards health apps [1175 = 500 (agree-4) + 675 (Strongly agree-5)]. The interface of the app scored very low, showing disagreement (514) with app functionality, and was the most common disadvantage as perceived by patients. The mean scores of reliabilities and vicinity of health services; efficacy and comprehensive health information; development and improvement of health apps and telemedicine (3.24, 3.18, 3.62, 3.49), respectively, show the difference in attraction existing between groups. There is a strong positive correlation between the variables except for efficacy and comprehensive information about health and Telemedicine (-0.249), development and improvement of health apps, and reliability and vicinity of health services (-0.344) which have a negative correlation.

CONCLUSIONS

The findings of this survey reveal a positive outlook of health apps toward telemedicine. This research also found a strong forecaster of the consumer's perception of health apps in smartphones towards telemedicine. In the broad spectrum, the future of health app affiliates for telemedicine is better affected by the consumer's perception of health app efficacy. This study suggests that health app marketers develop more innovative apps to increase usage and help consumers.

The Receptivity to Safety-Related Mobile Apps Among Commercial Fishing Captains: Descriptive Exploratory Study

BACKGROUND

Mobile apps addressing a variety of workplace safety issues have proliferated over the last decade as mobile technology has advanced and smartphone ownership has increased. Workplace safety interventions are often designed for a specific work site. However, some of the most dangerous jobs are ones in which workers frequently change field locations, such as commercial fishing. Mobile apps may be particularly suitable for delivering safety interventions to these workers.

OBJECTIVE

We sought to gauge the potential for using mobile apps to deliver safety interventions to commercial fishing workers. The purpose of this paper is to describe how fishermen use their mobile devices during fishing operations and identify any mobile apps they already use for safety.

METHODS

Participants comprised commercial fishing captains who already owned an iOS or Android smartphone or tablet. They completed a questionnaire that asked about their current mobile device use and their use of safety-related mobile apps, in addition to questions about their fishing operations. We performed descriptive analyses of the data.

RESULTS

A total of 61 participants completed the questionnaire. The most common types of mobile devices participants reported owning were iPhones (n=36, 59%) and Android phones (n=24, 39%). Most participants (n=53, 87%) reported using their mobile device for both work and personal purposes, including while out at sea (n=52, 85%). Over half of the participants reported that they had either safety-related apps (n=17, 28%) or apps that help them with their work (n=35, 57%). The types of apps most frequently mentioned were apps for weather, wind, tides, and navigation.

CONCLUSIONS

The results of this study indicate that some commercial fishing captains who own a mobile device are receptive to using safety-related apps for work. Apps that help avoid hazards by monitoring environmental conditions and apps optimized for use on smartphones may be most likely to be adopted and used. Overall, these results suggest that mobile apps are a promising avenue for improving safety among workers in commercial fishing and similar occupations.

A Smartphone Healthcare Application, CALO mama Plus, to Promote Weight Loss: A Randomized Controlled Trial

Mobile applications are increasingly used in healthcare. We have developed a smartphone healthcare application, CALO mama Plus, that can register daily diet, exercise, mood, and sleep quality, calculate dietary intake, and provide advice using artificial intelligence technology. This 3-month randomized controlled trial tested the hypothesis that CALO mama Plus could promote body weight reduction in Japanese adults with overweight or obesity. We recruited office workers as participants. The key eligibility criteria were an age of 20–65 years and a body mass index of 23–40 kg/m². The primary outcome was body weight change over 3 months. We enrolled 141 participants and randomly assigned them to the intervention (n = 72) and control (n = 69) groups. The intervention group used CALO mama Plus, and the control group did not receive any intervention. The change in body weight was −2.4 ± 4.0 kg and −0.7 ± 3.3 kg in the intervention and control groups, respectively. An analysis of covariance adjusted for related variables showed a significant between-group difference in body weight change (−1.60 kg; 95% confidence interval −2.83 to −0.38; p = 0.011). The present study suggests that CALO mama Plus effectively promotes weight loss.

Associations between visceral adipose tissue estimates produced by near-infrared spectroscopy, mobile anthropometrics, and traditional body composition assessments and estimates derived from dual-energy X-ray absorptiometry

Assessments of visceral adipose tissue (VAT) are critical in preventing metabolic disorders; however, there are limited measurement methods that are accurate and accessible for VAT. The purpose of this cross-sectional study was to evaluate the association between VAT estimates from consumer-grade devices and traditional anthropometrics and VAT and subcutaneous adipose tissue (SAT) from dual-energy X-ray absorptiometry (DXA). Data were collected from 182 participants (female = 114; White = 127; Black/African-American (BAA) = 48) which included anthropometrics and indices of VAT produced by near-infrared reactance spectroscopy (NIRS), visual body composition (VBC) and multifrequency BIA (MFBIA). VAT and SAT were collected using DXA. Bivariate and partial correlations were calculated between DXAVAT and DXASAT and other VAT estimates. All VAT indices had positive moderate–strong correlations with VAT (all P < 0·001) and SAT (all P < 0·001). Only waist:hip (r = 0·69), VATVBC (r = 0·84), and VATMFBIA (r = 0·86) had stronger associations with VAT than SAT (P < 0·001). Partial associations between VATVBC and VATMFBIA were only stronger for VAT than SAT in White participants (r = 0·67, P < 0·001) but not female, male, or BAA participants individually. Partial correlations for waist:hip were stronger for VAT than SAT, but only for male (r = 0·40, P < 0·010) or White participants (r = 0·48, P < 0·001). NIRS was amongst the weakest predictors of VAT which was highest in male participants (r = 0·39, P < 0·010) but non-existent in BAA participants (r = –0·02, P > 0·050) after adjusting for SAT. Both anthropometric and consumer-grade VAT indices are consistently better predictors of SAT than VAT. These data highlight the need for a standardised, but convenient, VAT estimation protocol that can account for the relationship between SAT and VAT that differs by sex/race.

Mobile Health (mHealth) Technology in Early Detection and Diagnosis of Oral Cancer-A Scoping Review of the Current Scenario and Feasibility

Objective

Oral cancer is one of the most common types of cancer with dreadful consequences. But it can be detected early without much expensive equipment. Screening and early detection of oral cancer using Mobile health (mHealth) technology are reported due to the availability of the extensive network of mobile phones across populations. Therefore, we aimed to explore the existing literature regarding mHealth feasibility in the early detection of oral cancer. Materials and Method. An extensive search was conducted to explore the literature on the feasibility of mobile health for early oral cancer. Clinical studies reporting kappa agreement between on-site dentists and offsite health care workers/dentists in the early detection of oral cancer were included in this review. Studies describing the development of a diagnostic device, app development, and qualitative interviews among practitioners trained in using mobile health were also included in this review for a broader perspective on mHealth.

Results

While most of the studies described various diagnostic accuracies using mHealth for oral cancer early detection, few studies reported the development of mobile applications, novel device designs for mHealth applications, and the feasibility of a few mHealth programs for early oral cancer detection. Community health workers equipped with a mobile phone-based app could identify “abnormal” oral lesions. Overall, many studies reported high sensitivity, specificity, and Kappa value of agreement. Effectiveness, advantages, and barriers in oral cancer screening using mHealth are also described.

Conclusion

The overall results show that remote diagnosis for early detection of oral cancer using mHealth was found useful in remote settings.

Separating Features From Functionality in Vaccination Apps: Computational Analysis

BACKGROUND

Some latest estimates show that approximately 95% of Americans own a smartphone with numerous functions such as SMS text messaging, the ability to take high-resolution pictures, and mobile software apps. Mobile health apps focusing on vaccination and immunization have proliferated in the digital health information technology market. Mobile health apps have the potential to positively affect vaccination coverage. However, their general functionality, user and disease coverage, and exchange of information have not been comprehensively studied or evaluated computationally.

OBJECTIVE

The primary aim of this study is to develop a computational method to explore the descriptive, usability, information exchange, and privacy features of vaccination apps, which can inform vaccination app design. Furthermore, we sought to identify potential limitations and drawbacks in the apps' design, readability, and information exchange abilities.

METHODS

A comprehensive codebook was developed to conduct a content analysis on vaccination apps' descriptive, usability, information exchange, and privacy features. The search and selection process for vaccination-related apps was conducted from March to May 2019. We identified a total of 211 apps across both platforms, with iOS and Android representing 62.1% (131/211) and 37.9% (80/211) of the apps, respectively. Of the 211 apps, 119 (56.4%) were included in the final study analysis, with 42 features evaluated according to the developed codebook. The apps selected were a mix of apps used in the United States and internationally. Principal component analysis was used to reduce the dimensionality of the data. Furthermore, cluster analysis was used with unsupervised machine learning to determine patterns within the data to group the apps based on preselected features.

RESULTS

The results indicated that readability and information exchange were highly correlated features based on principal component analysis. Of the 119 apps, 53 (44.5%) were iOS apps, 55 (46.2%) were for the Android operating system, and 11 (9.2%) could be found on both platforms. Cluster 1 of the k-means analysis contained 22.7% (27/119) of the apps; these were shown to have the highest percentage of features represented among the selected features.

CONCLUSIONS

We conclude that our computational method was able to identify important features of vaccination apps correlating with end user experience and categorize those apps through cluster analysis. Collaborating with clinical health providers and public health officials during design and development can improve the overall functionality of the apps.

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey

In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and Blockchain technologies have quickly gained pace as a new study niche in numerous collegiate and industrial sectors, notably in the healthcare sector. Recent advancements in healthcare delivery have given many patients access to advanced personalized healthcare, which has improved their well-being. The subsequent phase in healthcare is to seamlessly consolidate these emerging technologies such as IoT-assisted wearable sensor devices, AI, and Blockchain collectively. Surprisingly, owing to the rapid use of smart wearable sensors, IoT and AI-enabled technology are shifting healthcare from a conventional hub-based system to a more personalized healthcare management system (HMS). However, implementing smart sensors, advanced IoT, AI, and Blockchain technologies synchronously in HMS remains a significant challenge. Prominent and reoccurring issues such as scarcity of cost-effective and accurate smart medical sensors, unstandardized IoT system architectures, heterogeneity of connected wearable devices, the multidimensionality of data generated, and high demand for interoperability are vivid problems affecting the advancement of HMS. Hence, this survey paper presents a detailed evaluation of the application of these emerging technologies (Smart Sensor, IoT, AI, Blockchain) in HMS to better understand the progress thus far. Specifically, current studies and findings on the deployment of these emerging technologies in healthcare are investigated, as well as key enabling factors, noteworthy use cases, and successful deployments. This survey also examined essential issues that are frequently encountered by IoT-assisted wearable sensor systems, AI, and Blockchain, as well as the critical concerns that must be addressed to enhance the application of these emerging technologies in the HMS.