[Castellon Field Hospital: comprehensive analysis of its use during the SARS-CoV-2 pandemic.]

OBJECTIVE: Field hospitals, also known as alternative care sites, have been an important healthcare reinforcement during the SARS-CoV-2 pandemic worldwide. In the Valencian Community, three of these hospitals were opened, one for each province. Our study aimed to make a comprehensive analysis of this resource in Castellon. METHODS: A retrospective observational study was carried out with an analytical and statistical component of 3 aspects: infrastructure, satisfaction and clinical data from COVID-positive hospitalized patients. The sources of information were primary, institutional for the infrastructure and personal for the satisfaction surveys and clinical data. RESULTS: A set of 6x3 metres polyvalent tents was chosen, which joined formed a single-floor area of about 3.500 m2. Although hospital opened for approximately a year and a half with multiple uses, most in relation to the COVID pandemic (vaccination center, emergency room observation, hospital assistance, warehouse...), reception of positive patients for the virus began during the third wave of the pandemic, remaining active for eleven days. A total of thirty-one patients with a mean age of 56 years were admitted. 41.9% did not have any comorbidity and 54.8% needed treatment with oxygen therapy. Furthermore, the length of stay was three days, finding a significant relationship between this one, the oxygen flow required during admission and the age. Satisfaction was measured by a survey of seventeen questions where an average satisfaction of 8.33/10. CONCLUSIONS: This is one of the few studies in the literature in which a field hospital is analyzed from such different points of view. After this analysis, it is concluded that it is an extraordinary and temporary resource whose use is useful without reflecting an increase of morbidity/mortality among our patients and with a very favorable subjective assessment.

Demo Abstract: Implementing a COVID-19 Risk Assessment System for User-Informed Travel Planning in Harris County

The COVID-19 pandemic has forced people worldwide to modify their daily activities, including travel plans. To help individuals make informed decisions about visiting public places, Cheng [2] first proposed a real-time COVID-19 risk assessment system called RT-CIRAM and implemented prototypes for two U.S. metropolitan locations. The system calculates a COVID-19 risk score and categorizes the risk levels into high, medium, and low, recommends the safe travel destination using the users' location and the specified distance the user is willing to travel, thereby helping users make informed decisions about their travel plans. © 2023 ACM.

The effect of remote fitting technology on hearing aid satisfaction

Background: Telemedicine is a method of providing remote healthcare services and consultations to patients using communication technology. Tele-audiology is a sub-branch of telemedicine. It refers to providing audiology services using telehealth strategies. This study aims to compare the satisfaction of patients who come to the hearing aid center and receive device fitting service and patients who have hearing aid fitting using tele-audiology service. For this purpose, hearing aid users were divided into two groups. The study group consisted of 17 participants (10 male, 7 females;mean age 65.17 +/- 13.88) who continued fitting appointments remotely after the first clinic application, while the control group consisted of 23 participants (10 males, 13 females;mean age 62.17 +/- 18.32) who had all hearing aid fittings performed face-to-face in the clinic. The participant's satisfaction was assessed with The International Outcome Inventory for Hearing Aids Turkiye (IOI-HA-TR) questionnaire because it is practical and can be administered over the phone. Result(s): There were no significant differences in hearing aid satisfaction between those who came to the hearing center and filled out the IOI-HA-TR questionnaire personally and those who completed it through the Remote Care application (p < 0.05). In addition, most of the participants stated that using Remote Care solved their problems (35% very good, 24% good) and they were satisfied with the fitting of their hearing aids with this application (35% good, 29% very good). In addition, 13 out of 17 participants stated that they would pay attention to the "remote fitting" feature when purchasing a new hearing aid (76% very good). Moreover, they would like to continue the fitting using the Remote Care application (65% yes). Conclusion(s): Remote fitting technology via smartphone applications can facilitate the lives of hearing aid users and improve their quality of life in cases of risky conditions such as pandemics, various diseases, and physical limitations.Copyright © 2023, The Author(s).

Managing COVID-19 and health vulnerabilities: mHealth user experience, information quality and policy recommendations

The interplay between how people use mobile health (mHealth) technologies and its quality information for managing their health vulnerabilities in line with their protected characteristics remains unclear and underexplored. This paper examines the intersections between mHealth users' experiences, information quality issues, and everyday health vulnerabilities in the context of the COVID-19 pandemic by drawing on the theory of planned behaviour and technology acceptance. Semi-structured interviews were conducted with sixty-three participants across three cities: Accra, Lagos and London, to illustrate how barriers to mHealth adoption, and information quality issues, including security and privacy concerns, interact to shape the mHealth user experience. The findings show that key barriers to mHealth user experience and health information quality vary considerably across location and protected characteristics. The paper calls for inclusive and quality mHealth systems in managing health vulnerabilities towards assuring pandemic preparedness and response. By so doing, it contributes to scholarship on the interconnected need for quality information in the context of COVID-19, and highlights the policy implications for mHealth user experience and healthcare delivery. This article was published open access under a CC BY licence: https://creativecommons.org/licences/by/4.0. [ FROM AUTHOR] Copyright of International Development Planning Review is the property of Liverpool University Press / Journals and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The rise of AI in telehealth

Since its introduction in 1955, artificial intelligence (AI) has continued its growth and expansion across all industries and societal sectors. It took the COVID-19 pandemic for AI and its subsets to take the center stage in medicine and health care. AI is a broad discipline and encompasses machine learning (ML), deep learning (DL), and other techniques. Advancements in AI enabled, facilitated, and accelerated the expansion of telehealth. Telehealth describes the wide array of digital information and communication technologies and systems that allow the delivery of health and health-related services. There are three distinct subtypes of telehealth: synchronous, asynchronous, and remote (tele) monitoring. The overarching goal of telehealth is to break down barriers in delivery of high value care by overcoming challenges resulting from time or location constraints. The end goal is not to replace in-person care, rather to commoditize and democratize high quality, high value care. On the other hand, there remain significant limitations and pitfalls, particularly regulatory and technological. Examples include best practice guidelines on the adaptation of standards regulating data exchange, expansion of reimbursement and importantly ethical challenges. The latter include critical issues such as data privacy, security, and governance, AI-introduced bias, the black box nature of some AI/ML algorithms and the impact of AI technologies/algorithms on health disparities and inequities. Disparities in access to and use of tele-health were already known but highlighted during the COVID-19 pandemic. Recognition of this hurdle led to the emerging and rapidly growing field of digital determinants of health, which comprise factors like digital literacy, access to AI/technology, and community infrastructure like access to WiFi/broadband internet. © 2023 Elsevier Inc. All rights reserved.

Acceptability of an mHealth App for Monitoring Perinatal and Postpartum Mental Health: Qualitative Study With Women and Providers.

BACKGROUND: Up to 15% of pregnant and postpartum women commonly experience undiagnosed and untreated mental health conditions, such as depression and anxiety, which may result in serious health complications. Mobile health (mHealth) apps related to mental health have been previously used for early diagnosis and intervention but not among pregnant and postpartum women. OBJECTIVE: This study aims to assess the acceptability of using mHealth to monitor and assess perinatal and postpartum depression and anxiety. METHODS: Focus group discussions with pregnant and postpartum women (n=20) and individual interviews with health care providers (n=8) were conducted to inform the acceptability of mHealth and determine its utility for assessing perinatal and postpartum mood symptoms. Participants were recruited via purposive sampling from obstetric clinics and the surrounding community. A semistructured interview guide was developed by an epidemiologist with qualitative research training in consultation with an obstetrician. The first author conducted all focus group discussions and provider interviews either in person or via Zoom (Zoom Video Communications, Inc) depending on the COVID-19 protocol that was in place during the study period. All interviews were audio recorded with consent; transcribed; and uploaded for coding to ATLAS.ti 8 (ATLAS.ti Scientific Software Development Gmb H), a qualitative data analysis and retrieval software. Data were analyzed using the deductive content analysis method using a set of a priori codes developed based on the interview guide. Methodological rigor and quality were ensured by adopting a systematic approach during the implementation, data collection, data analysis, and reporting of the data. RESULTS: Almost all women and providers had downloaded and used at least 1 health app. The respondents suggested offering short questions in layperson language that could be understood by women of all educational levels and offering no more than 2 to 3 assessments per day at preferred timings decided by the women themselves. They also suggested that the women themselves receive the alerts first, with other options being family members, spouses, or friends if the women themselves did not respond within 24 to 72 hours. Customization and snooze features were strongly endorsed by women and providers to improve acceptability and utility. Women mentioned competing demands on their time during the postpartum period, fatigue, privacy, and the security of mental health data as concerns. Health care professionals highlighted the long-term sustainability of app-based mood assessment and monitoring as an important challenge. CONCLUSIONS: The findings from this study show that mHealth would be acceptable to pregnant and postpartum women for monitoring mood symptoms. This could inform the development of clinically meaningful and inexpensive tools for facilitating the continuous monitoring of, the early diagnosis of, and an early intervention for mood disorders in this vulnerable population.

Psychiatric Treatment Conducted via Telemedicine Versus In-Person Modality in Posttraumatic Stress Disorder, Mood Disorders, and Anxiety Disorders: Systematic Review and Meta-Analysis.

BACKGROUND: Telemedicine has played a vital role in providing psychiatric treatment to patients during the rapid transition of services during the COVID-19 pandemic. Furthermore, the use of telemedicine is expected to expand within the psychiatric field. The efficacy of telemedicine is well described in scientific literature. However, there is a need for a comprehensive quantitative review that analyzes and considers the different clinical outcomes and psychiatric diagnoses. OBJECTIVE: This paper aimed to assess whether individual psychiatric outpatient treatment for posttraumatic stress disorder, mood disorders, and anxiety disorders in adults using telemedicine is equivalent to in-person treatment. METHODS: A systematic search of randomized controlled trials was conducted using recognized databases for this review. Overall, 4 outcomes were assessed: treatment efficacy, levels of patient satisfaction, working alliance, and attrition rate. The inverse-variance method was used to summarize the effect size for each outcome. RESULTS: A total of 7414 records were identified, and 20 trials were included in the systematic review and meta-analysis. The trials included posttraumatic stress disorder (9 trials), depressive disorder (6 trials), a mix of different disorders (4 trials), and general anxiety disorder (1 trial). Overall, the analyses yielded evidence that telemedicine is comparable with in-person treatment regarding treatment efficacy (standardized mean difference -0.01, 95% CI -0.12 to 0.09; P=.84; I2=19%, 17 trials, n=1814), patient satisfaction mean difference (-0.66, 95% CI -1.60 to 0.28; P=.17; I2=44%, 6 trials, n=591), and attrition rates (risk ratio 1.07, 95% CI 0.94-1.21; P=.32; I2=0%, 20 trials, n=2804). The results also indicated that the working alliance between telemedicine and in-person modalities was comparable, but the heterogeneity was substantial to considerable (mean difference 0.95, 95% CI -0.47 to 2.38; P=.19; I2=75%, 6 trials, n=539). CONCLUSIONS: This meta-analysis provided new knowledge on individual telemedicine interventions that were considered equivalent to in-person treatment regarding efficacy, patient satisfaction, working alliance, and attrition rates across diagnoses. The certainty of the evidence regarding efficacy was rated as moderate. Furthermore, high-quality randomized controlled trials are needed to strengthen the evidence base for treatment provided via telemedicine in psychiatry, particularly for personality disorders and a range of anxiety disorders where there is a lack of studies. Individual patient data meta-analysis is suggested for future studies to personalize telemedicine. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021256357; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=256357.

Examining the Effectiveness, Acceptability, and Feasibility of Virtually Delivered Trauma-Focused Domestic Violence and Sexual Violence Interventions: A Rapid Evidence Assessment.

The COVID-19 pandemic has forced a rapid shift to virtual delivery of treatment and care to individuals affected by domestic violence and sexual violence. A rapid evidence assessment (REA) was undertaken to examine the effectiveness, feasibility and acceptability of trauma-focused virtual interventions for persons affected by domestic violence and sexual violence. The findings from this review will provide guidance for service providers and organizational leaders with the implementation of virtual domestic violence and sexual violence-focused interventions. The REA included comprehensive search strategies and systematic screening of and relevant articles. Papers were included into this review (1) if they included trauma-focused interventions; (2) if the intervention was delivered virtually; and (3) if the article was published in the English-language. Twenty-one papers met inclusion criteria and were included for analysis. Findings from the rapid review demonstrate that virtual interventions that incorporate trauma-focused treatment are scarce. Online interventions that incorporate trauma-focused treatment for this at-risk group are limited in scope, and effectiveness data are preliminary in nature. Additionally, there is limited evidence of acceptability, feasibility and effectiveness of virtual interventions for ethnically, culturally, and linguistically diverse populations experiencing domestic violence and sexual violence. Accessing virtual interventions was also highlighted as a barrier to among participants in studies included in the review. Despite the potential of virtual interventions to respond to the needs of individuals affected by domestic violence and/or sexual violence, the acceptability and effectiveness of virtual trauma-focused care for a diverse range of populations at risk of violence are significantly understudied.

Perinatal support for couples during COVID-19: A descriptive qualitative study.

AIMS AND OBJECTIVES: To explore the perspectives of parents during the perinatal period amid the COVID-19 pandemic and explore the experiences of Singaporean parents receiving perinatal support via the Supportive Parenting App (SPA). BACKGROUND: The stressors accompanying parenting responsibilities often affect the overall well-being of the family unit. With the emergence of the COVID-19 pandemic, Singaporean parents are forced to shoulder childcare responsibilities with minimal support due to safety restrictions. The Supportive Parenting Application (SPA) was introduced to parents during the start of the pandemic to offer timely additional support. It is a mobile health application-based educational support for parents across the perinatal period, consisting of features such as peer support, expert advice and discussion forums. DESIGN: Descriptive qualitative study. METHODS: Semi-structured one-to-one interviews were conducted with 33 parents (16 from the control group, 17 from the intervention group) in an ongoing randomised controlled trial between June 2021 and February 2022. The COREQ checklist was used to guide the reporting of the data. RESULTS: Four themes with 10 subthemes describing the perinatal experiences of parents were identified. The themes include 'Ups and downs' of parenting experiences; Perinatal care from 'best care' to 'flying blind'; What kept couples going and Use of technology-a way forward. CONCLUSION: Although COVID-19 negatively affected parents' availability of care and support, most could still access other support sources to help them. Additionally, the SPA was found to be a dependable information source for the intervention group parents. Future research could work on improving technology-based support based on the feedback given to offer better quality perinatal care for parents. RELEVANCE TO CLINICAL PRACTICE: Technology-based support provided by healthcare professionals helps provide reliable perinatal information and support for parents. More efforts should be directed towards developing quality informational resources and support to improve perinatal care. PATIENT OR PUBLIC CONTRIBUTION: Patients/members of the public contributed to the data collected and were involved in member checking to ensure the rigour of the study. CLINICAL TRIAL REGISTRATION NUMBER: NHG DSRB: 2019/00875.

Mobile heath applications for self-management in chronic lung disease: a systematic review.

Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and quality of life enhancement. However, mHealth apps' designs, features, and content are inconsistently reported, making it difficult to determine which were the effective components. Therefore, this review aims to summarize the characteristics and features of published mHealth apps for chronic lung diseases. A structured search strategy across five databases (CINAHL, Medline, Embase, Scopus and Cochrane) was performed. Randomized controlled trials investigating interactive mHealth apps in adults with chronic lung disease were included. Screening and full-text reviews were completed by three reviewers using Research Screener and Covidence. Data extraction followed the mHealth Index and Navigation Database (MIND) Evaluation Framework (https://mindapps.org/), a tool designed to help clinicians determine the best mHealth apps to address patients' needs. Over 90,000 articles were screened, with 16 papers included. Fifteen distinct apps were identified, 8 for chronic obstructive pulmonary disease (53%) and 7 for asthma (46%) self-management. Different resources informed app design approaches, accompanied with varying qualities and features across studies. Common reported features included symptom tracking, medication reminders, education, and clinical support. There was insufficient information to answer MIND questions regarding security and privacy, and only five apps had additional publications to support their clinical foundation. Current studies reported designs and features of self-management apps differently. These app design variations create challenges in determining their effectiveness and suitability for chronic lung disease self-management. Registration: PROSPERO (CRD42021260205). Supplementary Information: The online version contains supplementary material available at 10.1007/s13721-023-00419-0.

Mobile Health Requirements for the Occupational Health Assessment of Health Care Professionals: Delphi Study.

BACKGROUND: In recent years, owing to the COVID-19 pandemic, awareness of the high level of stress among health care professionals has increased, and research in this area has intensified. Hospital staff members have historically been known to work in an environment involving high emotional demands, time pressure, and workload. Furthermore, the pandemic has increased the strain experienced by health care professionals owing to the high number of people they need to manage and, on many occasions, the limited available resources with which they must carry out their functions. These psychosocial risks are not always well dealt with by the organization or the professionals themselves. Therefore, it is necessary to have tools to assess these psychosocial risks and to optimize the management of this demand from health care professionals. Digital health, and more specifically, mobile health (mHealth), is presented as a health care modality that can contribute greatly to respond to these unmet needs. OBJECTIVE: We aimed to analyze whether mHealth tools can provide value for the study and management of psychosocial risks in health care professionals, and assess the requirements of these tools. METHODS: A Delphi study was carried out to determine the opinions of experts on the relevance of using mHealth tools to evaluate physiological indicators and psychosocial factors in order to assess occupational health, and specifically, stress and burnout, in health care professionals. The study included 58 experts with knowledge and experience in occupational risk prevention, psychosocial work, and health-related technology, as well as health professionals from private and public sectors. RESULTS: Our data suggested that there is still controversy about the roles that organizations play in occupational risk prevention in general and psychosocial risks in particular. An adequate assessment of the stress levels and psychosocial factors can help improve employees' well-being. Moreover, making occupational health evaluations available to the team would positively affect employees by increasing their feelings of being taken into account by the organization. This assessment can be improved with mHealth tools that identify and quickly highlight the difficulties or problems that occur among staff and work teams. However, to achieve good adherence and participation in occupational health and safety evaluations, experts consider that it is essential to ensure the privacy of professionals and to develop feelings of being supported by their supervisors. CONCLUSIONS: For years, mHealth has been used mainly to propose intervention programs to improve occupational health. Our research highlights the usefulness of these tools for evaluating psychosocial risks in a preliminary and essential phase of approaches to improve the health and well-being of professionals in health care settings. The most urgent requirements these tools must meet are those aimed at protecting the confidentiality and privacy of measurements.

Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review.

BACKGROUND: A rapidly aging population, a shifting disease burden and the ongoing threat of infectious disease outbreaks pose major concerns for Vietnam's health care system. Health disparities are evident in many parts of the country, especially in rural areas, and the population faces inequitable access to patient-centered health care. Vietnam must therefore explore and implement advanced solutions to the provision of patient-centered care, with a view to reducing pressures on the health care system simultaneously. The use of digital health technologies (DHTs) may be one of these solutions. OBJECTIVE: This study aimed to identify the application of DHTs to support the provision of patient-centered care in low- and middle-income countries in the Asia-Pacific region (APR) and to draw lessons for Vietnam. METHODS: A scoping review was undertaken. Systematic searches of 7 databases were conducted in January 2022 to identify publications on DHTs and patient-centered care in the APR. Thematic analysis was conducted, and DHTs were classified using the National Institute for Health and Care Excellence evidence standards framework for DHTs (tiers A, B, and C). Reporting was in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. RESULTS: Of the 264 publications identified, 45 (17%) met the inclusion criteria. The majority of the DHTs were classified as tier C (15/33, 45%), followed by tier B (14/33, 42%) and tier A (4/33, 12%). At an individual level, DHTs increased accessibility of health care and health-related information, supported individuals in self-management, and led to improvements in clinical and quality-of-life outcomes. At a systems level, DHTs supported patient-centered outcomes by increasing efficiency, reducing strain on health care resources, and supporting patient-centered clinical practice. The most frequently reported enablers for the use of DHTs for patient-centered care included alignment of DHTs with users' individual needs, ease of use, availability of direct support from health care professionals, provision of technical support as well as user education and training, appropriate governance of privacy and security, and cross-sectorial collaboration. Common barriers included low user literacy and digital literacy, limited user access to DHT infrastructure, and a lack of policies and protocols to guide the implementation and use of DHTs. CONCLUSIONS: The use of DHTs is a viable option to increase equitable access to quality, patient-centered care across Vietnam and simultaneously reduce pressures on the health care system. Vietnam can take advantage of the lessons learned by other low- and middle-income countries in the APR when developing a national road map to digital health transformation. Recommendations that Vietnamese policy makers may consider include emphasizing stakeholder engagement, strengthening digital literacy, supporting the improvement of DHT infrastructure, increasing cross-sectorial collaboration, strengthening governance of cybersecurity, and leading the way in DHT uptake.

The Artificial Intelligence in Teledermatology: A Narrative Review on Opportunities, Perspectives, and Bottlenecks.

Artificial intelligence (AI) is recently seeing significant advances in teledermatology (TD), also thanks to the developments that have taken place during the COVID-19 pandemic. In the last two years, there was an important development of studies that focused on opportunities, perspectives, and problems in this field. The topic is very important because the telemedicine and AI applied to dermatology have the opportunity to improve both the quality of healthcare for citizens and the workflow of healthcare professionals. This study conducted an overview on the opportunities, the perspectives, and the problems related to the integration of TD with AI. The methodology of this review, following a standardized checklist, was based on: (I) a search of PubMed and Scopus and (II) an eligibility assessment, using parameters with five levels of score. The outcome highlighted that applications of this integration have been identified in various skin pathologies and in quality control, both in eHealth and mHealth. Many of these applications are based on Apps used by citizens in mHealth for self-care with new opportunities but also open questions. A generalized enthusiasm has been registered regarding the opportunities and general perspectives on improving the quality of care, optimizing the healthcare processes, minimizing costs, reducing the stress in the healthcare facilities, and in making citizens, now at the center, more satisfied. However, critical issues have emerged related to: (a) the need to improve the process of diffusion of the Apps in the hands of citizens, with better design, validation, standardization, and cybersecurity; (b) the need for better attention paid to medico-legal and ethical issues; and (c) the need for the stabilization of international and national regulations. Targeted agreement initiatives, such as position statements, guidelines, and/or consensus initiatives, are needed to ensure a better result for all, along with the design of both specific plans and shared workflows.

[Castellón Field Hospital: comprehensive analysis of its use during the SARS-CoV-2 pandemic.]

OBJECTIVE: Field hospitals, also known as alternative care sites, have been an important healthcare reinforcement during the SARS-CoV-2 pandemic worldwide. In the Valencian Community, three of these hospitals were opened, one for each province. Our study aimed to make a comprehensive analysis of this resource in Castellon. METHODS: A retrospective observational study was carried out with an analytical and statistical component of 3 aspects: infrastructure, satisfaction and clinical data from COVID-positive hospitalized patients. The sources of information were primary, institutional for the infrastructure and personal for the satisfaction surveys and clinical data. RESULTS: A set of 6x3 metres polyvalent tents was chosen, which joined formed a single-floor area of about 3.500 m(2). Although hospital opened for approximately a year and a half with multiple uses, most in relation to the COVID pandemic (vaccination center, emergency room observation, hospital assistance, warehouse...), reception of positive patients for the virus began during the third wave of the pandemic, remaining active for eleven days. A total of thirty-one patients with a mean age of 56 years were admitted. 41.9% did not have any comorbidity and 54.8% needed treatment with oxygen therapy. Furthermore, the length of stay was three days, finding a significant relationship between this one, the oxygen flow required during admission and the age. Satisfaction was measured by a survey of seventeen questions where an average satisfaction of 8.33/10. CONCLUSIONS: This is one of the few studies in the literature in which a field hospital is analyzed from such different points of view. After this analysis, it is concluded that it is an extraordinary and temporary resource whose use is useful without reflecting an increase of morbidity/mortality among our patients and with a very favorable subjective assessment.

Left on Read: Reply Latency for Anxiety & Depression Screening

Mental health is a critical societal issue and early screening is vital to enabling timely treatment. The rise of text-based communications provides new modalities that can be used to passively screen for mental illnesses. In this paper we present an approach to screen for anxiety and depression through reply latency of text messages. We demonstrate that by constructing machine learning models with reply latency features. Our models screen for anxiety with a balanced accuracy of 0.62 and F1 of 0.73, a notable improvement over prior approaches. With the same participants, our models likewise screen for depression with a balanced accuracy of 0.70 and F1 of 0.80. We additionally compare these results to those of models trained on data collected prior to the COVID-19 pandemic. Finally, we demonstrate generalizability for screening by combining datasets which results in comparable accuracy. Latency features could thus be useful in multimodal mobile mental illness screening. © 2022 ACM.

The review of usability evaluation methods on telehealth or telemedicine systems

Introduction: Telemedicine in the pandemic of coronavirus disease 2019 (COVID-19) has responded to societal distancing in medical treatments by protecting health workers while also managing available resources. To attain best practices in telemedicine, a platform must be functional, and both patients and clinicians must be satisfied with the technology. To ensure the benefits of telehealth systems, usability refers to how easy the user interfaces of telehealth systems are to use. In this study, the usability of telemedicine systems has been investigated. Material and Methods: The authors of this study review the study from 2015 to 2021 using a combination of the keywords "health", "telemedicine", "telemedicine", "mobile health", "usability" "Software", "System" and "Program", which led to the extraction of 119 articles in this field. Results: Articles in the field of remote health software and evaluation of the usability of remote health applications in the form of applications based on mobile health technologies, web-based applications or a combination of both types with sample devices Primary are wearable electronics, sensors or robots. Conclusion: In this study, most of the remote health software are mobile based and their usability has been evaluated by a questionnaire. Satisfaction is the most important usability attributes to consider when designing Health mobile apps. © 2022, Published by Frontiers in Health Informatics.

Remote blood pressure monitoring in high risk pregnancy - study protocol for a randomised controlled trial (REMOTE CONTROL trial).

BACKGROUND: Pregnant women at high risk for developing a hypertensive disorder of pregnancy require frequent antenatal assessments, especially of their blood pressure. This expends significant resources for both the patient and healthcare system. An alternative to in-clinic assessments is a remote blood pressure monitoring strategy, in which patients self-record their blood pressure at home using a validated blood pressure machine. This has the potential to be cost-effective, increase patient satisfaction, and reduce outpatient visits, and has had widespread uptake recently given the increased need for remote care during the ongoing COVID-19 pandemic. However robust evidence supporting this approach over a traditional face-to-face approach is lacking, and the impact on maternal and foetal outcomes has not yet been reported. Thus, there is an urgent need to assess the efficacy of remote monitoring in pregnant women at high risk of developing a hypertensive disorder of pregnancy. METHODS: The REMOTE CONTROL trial is a pragmatic, unblinded, randomised controlled trial, which aims to compare remote blood pressure monitoring in high-risk pregnant women with conventional face-to-face clinic monitoring, in a 1:1 allocation ratio. The study will recruit patients across 3 metropolitan Australian teaching hospitals and will evaluate the safety, cost-effectiveness, impact on healthcare utilisation and end-user satisfaction of remote blood pressure monitoring. DISCUSSION: Remote blood pressure monitoring is garnering interest worldwide and has been increasingly implemented following the COVID-19 pandemic. However, robust data regarding its safety for maternofoetal outcomes is lacking. The REMOTE CONTROL trial is amongst the first randomised controlled trials currently underway, powered to evaluate maternal and foetal outcomes. If proven to be as safe as conventional clinic monitoring, major potential benefits include reducing clinic visits, waiting times, travel costs, and improving delivery of care to vulnerable populations in rural and remote communities. TRIAL REGISTRATION: The trial has been prospectively registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12620001049965p, on October 11th, 2020).

Embracing e-health systems in managing the COVID 19 pandemic in Sub-Saharan Africa.

The COVID-19 pandemic and the policy responses adopted to curtail it have drastically altered how health services are delivered around the globe. To enable the public to continue accessing health care, e-health innovations have become the most viable tool to provide convenient, timely, effective and safe care, while reducing the spread of the virus. This paper utilized data from existing literature to explore the benefits and challenges of implementing e-health technologies in Sub Saharan Africa (SSA) amid this pandemic. Evidence suggests that these technologies have the potential to strengthen public health systems in SSA as they have in First World countries. However, there are a number of challenges that need to be addressed first in order to realize the full promises of e-health on the continent. The paper proposes that African governments should come together and implement similar e-health policies, share software, expertise and other critical ICT infrastructure as it can result in the successful implementation of e-health innovations, while reducing the financial burden associated with their set up.

mCrutch: A Novel m-Health Approach Supporting Continuity of Care.

This paper reports the architecture of a low-cost smart crutches system for mobile health applications. The prototype is based on a set of sensorized crutches connected to a custom Android application. Crutches were instrumented with a 6-axis inertial measurement unit, a uniaxial load cell, WiFi connectivity, and a microcontroller for data collection and processing. Crutch orientation and applied force were calibrated with a motion capture system and a force platform. Data are processed and visualized in real-time on the Android smartphone and are stored on the local memory for further offline analysis. The prototype's architecture is reported along with the post-calibration accuracy for estimating crutch orientation (5° RMSE in dynamic conditions) and applied force (10 N RMSE). The system is a mobile-health platform enabling the design and development of real-time biofeedback applications and continuity of care scenarios, such as telemonitoring and telerehabilitation.

Oral and Dental Needs and Teledentistry Applications in the Elderly: Real-Time Surveillance Using Google Trends

Featured ApplicationThe present cross-sectional analysis aimed to evaluate the level of interest in oral and dental needs and teledentistry applications among the elderly, as well as whether COVID-19 pandemic outbreaks were influenced by real-time surveillance, using Google Trends. As the number of elderly dental patients continues to increase, there is a growing need for specific interventions that address the biological and psychological issues of this population. Teledentistry represents a healthcare delivery system that can overcome these problems, although the oral and dental care provision methods involved are still unknown to most people. Indeed, there is a need to raise awareness of the indications for teledentistry, the available interventions, and the potential benefits for the oral and dental care of elderly patients.Considering the increasing need for oral and dental care in the elderly, teledentistry has been proposed to improve the education of elderly patients in oral health maintenance and risk factor control, identify patients' concerns in advance, facilitate monitoring, and save time and money. The present cross-sectional analysis of Google search data through real-time surveillance with Google Trends aimed to determine Google users' interest in oral and dental needs and teledentistry applications in the elderly, and to compare search volumes before and after the COVID-19 outbreak. Extracted CVS data were qualitatively analyzed. Pearson and Spearman correlation analyses were performed between searches for "elderly” and "teledentistry”, and all the oral and dental needs and teledentistry applications. The Mann–Whitney U test compared search volumes in the 36 months before and after the beginning of the COVID-19 pandemic. Google users' interest in the elderly and related oral and dental needs was diffusely medium–high, while teledentistry and its applications were of lower interest. Interest in teledentistry and its applications was strongly related to interest in the older population, which is consistent with the assumption that older adults represent the population segment that could benefit most from these tools. A positive correlation was also found between searches for "Elderly” and searches for almost all oral and dental needs typical of the geriatric population. Search volumes increased significantly after the outbreak of the COVID-19 pandemic. More information about teledentistry should be disseminated to increase knowledge and awareness, especially among older patients, about its indications, applications, and advantages.