eHealth Platform Research Articles

Adoption of E-health platforms by medical practitioners: Mediating effect of attitude on E-health platforms usage

This study considers Theory of Reasoned Action and Technology Acceptance Model frameworks to test the mediating role of attitude towards using E-health platforms. 224 medical practitioners’ responses are collected in the online mode. The mediation analysis supports the full mediation role of attitude towards using the E-health platforms in the relationship between perceived usefulness and intentions to use with (indirect effect = .15, SE = 0.03, LLCI = 0.09, and ULCI = .22). E-health platform developers should take active measures to improve the attitude of medical practitioners towards using such platforms, to derive the best results of the added features.

School-Based Suicide Risk Assessment Using eHealth for Youth: Systematic Scoping Review.

BackgroundSuicide is a leading cause of death among youth and a prominent concern for school mental health providers. Indeed, schools play a key role in suicide prevention, including participating in risk assessments with students expressing suicidal ideation. In the context of the COVID-19 pandemic, many schools now need to offer mental health services, including suicide risk assessment, via eHealth platforms. Post pandemic, the use of eHealth risk assessments will support more accessible services for youth living in rural and remote areas. However, as the remote environment is a new context for many schools, guidance is needed on best practices for eHealth suicide risk assessment among youth.ObjectiveThis study aims to conduct a rapid, systematic scoping review to explore promising practices for conducting school-based suicide risk assessment among youth via eHealth (ie, information technologies that allow for remote communication).MethodsThis review included peer-reviewed articles and gray literature published in English between 2000 and 2020. Although we did not find studies that specifically explored promising practices for school-based suicide risk assessment among youth via eHealth platforms, we found 12 peer-reviewed articles and 23 gray literature documents that contained relevant information addressing our broader study purpose; thus, these 35 sources were included in this review.ResultsWe identified five key recommendation themes for school-based suicide risk assessment among youth via eHealth platforms in the 12 peer-reviewed studies. These included accessibility, consent procedures, session logistics, safety planning, and internet privacy. Specific recommendation themes from the 23 gray literature documents substantially overlapped with and enhanced three of the themes identified in the peer-reviewed literature—consent procedures, session logistics, and safety planning. In addition, based on findings from the gray literature, we expanded the accessibility theme to a broader theme termed youth engagement, which included information on accessibility and building rapport, establishing a therapeutic space, and helping youth prepare for remote sessions. Finally, a new theme was identified in the gray literature findings, specifically concerning school mental health professional boundaries. A second key difference between the gray and peer-reviewed literature was the former’s focus on issues of equity and access and how technology can reinforce existing inequalities.ConclusionsFor school mental health providers in need of guidance, we believe that these six recommendation themes (ie, youth engagement, school mental health professional boundaries, consent procedures, session logistics, safety planning, and internet privacy) represent the most promising directions for school-based suicide risk assessment among youth using eHealth tools. However, suicide risk assessment among youth via eHealth platforms in school settings represents a critical research gap. On the basis of the findings of this review, we provide specific recommendations for future research, including the need to focus on the needs of diverse youth.

Study Protocol for the Development of a European eHealth Platform to Improve Quality of Life in Individuals With Huntington's Disease and Their Partners (HD-eHelp Study): A User-Centered Design Approach.

Background: Huntington's disease (HD) is an autosomal dominant neurodegenerative disease that affects the quality of life (QoL) of HD gene expansion carriers (HDGECs) and their partners. Although HD expertise centers have been emerging across Europe, there are still some important barriers to care provision for those affected by this rare disease, including transportation costs, geographic distance of centers, and availability/accessibility of these services in general. eHealth seems promising in overcoming these barriers, yet research on eHealth in HD is limited and fails to use telehealth services specifically designed to fit the perspectives and expectations of HDGECs and their families. In the European HD-eHelp study, we aim to capture the needs and wishes of HDGECs, partners of HDGECs, and health care providers (HCPs) in order to develop a multinational eHealth platform targeting QoL of both HDGECs and partners at home.Methods: We will employ a participatory user-centered design (UCD) approach, which focusses on an in-depth understanding of the end-users' needs and their contexts. Premanifest and manifest adult HDGECs (n = 76), partners of HDGECs (n = 76), and HCPs (n = 76) will be involved as end-users in all three phases of the research and design process: (1) Exploration and mapping of the end-users' needs, experiences and wishes; (2) Development of concepts in collaboration with end-users to ensure desirability; (3) Detailing of final prototype with quick review rounds by end-users to create a positive user-experience. This study will be conducted in the Netherlands, Germany, Czech Republic, Italy, and Ireland to develop and test a multilingual platform that is suitable in different healthcare systems and cultural contexts.Discussion: Following the principles of UCD, an innovative European eHealth platform will be developed that addresses the needs and wishes of HDGECs, partners and HCPs. This allows for high-quality, tailored care to be moved partially into the participants' home, thereby circumventing some barriers in current HD care provision. By actively involving end-users in all design decisions, the platform will be tailored to the end-users' unique requirements, which can be considered pivotal in eHealth services for a disease as complex and rare as HD.

Practicality and Reliability of Self Vs Administered Rapid Geriatric Assessment Mobile App.

ObjectivesTo develop and cross-validate self-administered Rapid Geriatric Assessment (SA-RGA) app against administered Rapid Geriatric Assessment (A-RGA) to identify seniors with geriatric syndromes such as frailty, sarcopenia, and anorexia of ageing who may benefit from targeted intervention.DesignProspective observational study.SettingPrimary Care and Community.ParticipantsA-RGA and SA-RGA app were administered to older adults ≥ 60 years old from December 2020 to April 2021.MeasurementsThe RGA app screens for frailty (FRAIL), sarcopenia (SARC-F), anorexia of aging (SNAQ) and cognition (Rapid Cognitive Screen) with assisted management pathway. Patient Health Questionnaire 9 is administered for those who score positive for fatigue. The diagnostic performance of SA-RGA was compared against A-RGA as a reference by calculating the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) and positive likelihood ratio (+LR).Results123 participants with a mean age of 71 ± 5.9 years completed both the SA-RGA and A-RGA. Questions on fatigue, 5 or more illnesses, loss of weight and falls in the past year performed better with high sensitivity, specificity, NPV and +LR than self-functional assessment where SA-RGA participants reported lower prevalence on the FRAIL scale aerobic and resistance components, and higher prevalence on the SARC-F strength and rising from a chair components.ConclusionThe SA-RGA app performed well in certain domains such as assessment for weight loss, falls, number of chronic illness and fatigue. Self-functional assessment can be improved further by removing ambiguity in wordings such as “some” or “a lot” and replacing it with functional difficulty scale. SA-RGA has the potential to be incorporated in the eHEALTH platforms worldwide for early identifications of older adults at risk and to reduce health inequalities, at the same time building community resilience in the era of Covid-19 pandemic.

Implementing mHealth-Enabled Integrated Care for Complex Chronic Patients With Osteoarthritis Undergoing Primary Hip or Knee Arthroplasty: Prospective, Two-Arm, Parallel Trial.

BackgroundOsteoarthritis is a disabling condition that is often associated with other comorbidities. Total hip or knee arthroplasty is an effective surgical treatment for osteoarthritis when indicated, but comorbidities can impair their results by increasing complications and social and economic costs. Integrated care (IC) models supported by eHealth can increase efficiency through defragmentation of care and promote patient-centeredness.ObjectiveThis study aims to assess the effectiveness and cost-effectiveness of implementing a mobile health (mHealth)–enabled IC model for complex chronic patients undergoing primary total hip or knee arthroplasty.MethodsAs part of the Horizon 2020 Personalized Connected Care for Complex Chronic Patients (CONNECARE) project, a prospective, pragmatic, two-arm, parallel implementation trial was conducted in the rural region of Lleida, Catalonia, Spain. For 3 months, complex chronic patients undergoing total hip or knee arthroplasty and their caregivers received the combined benefits of the CONNECARE organizational IC model and the eHealth platform supporting it, consisting of a patient self-management app, a set of integrated sensors, and a web-based platform connecting professionals from different settings, or usual care (UC). We assessed changes in health status (12-item short-form survey [SF-12]), unplanned visits and admissions during a 6-month follow-up, and the incremental cost-effectiveness ratio.ResultsA total of 29 patients were recruited for the mHealth-enabled IC arm, and 30 patients were recruited for the UC arm. Both groups were statistically comparable for baseline characteristics, such as age; sex; type of arthroplasty; and Charlson index, American Society of Anesthesiologists classification, Barthel index, Hospital Anxiety and Depression scale, Western Ontario and McMaster Universities Osteoarthritis Index, and Pfeiffer mental status questionnaire scores. Patients in both groups had significant increases in the SF-12 physical domain and total SF-12 score, but differences in differences between the groups were not statistically significant. IC patients had 50% fewer unplanned visits (P=.006). Only 1 hospital admission was recorded during the follow-up (UC arm). The IC program generated savings in different cost scenarios, and the incremental cost-effectiveness ratio demonstrated cost-effectiveness.ConclusionsChronic patients undergoing hip or knee arthroplasty can benefit from the implementation of patient-centered mHealth-enabled IC models aimed at empowering patients and facilitating transitions from specialized hospital care to primary care. Such models can reduce unplanned contacts with the health system and reduce overall health costs, proving to be cost-effective. Overall, our findings support the notion of system-wide cross-organizational care pathways supported by mHealth as a successful way to implement IC for patients undergoing elective surgery.

The applications of eHealth technologies in the management of asthma and allergic diseases.

Portable devices, such as smartphones and mobile Internet access have become ubiquitous in the last decades. The term ‘eHealth’ stands for electronic health. The tools included in the eHealth concept utilize phones, computers and the Internet and related applications to improve the health care industry. Implementation of eHealth technologies has been documented for the management of different chronic diseases, including asthma and allergic conditions. Clinicians and patients have gained opportunity to communicate in new ways, which could be used cost‐effectively to improve disease control and quality of life of those affected. Additionally, these innovations bring new opportunities to academic researchers. For example, eHealth has allowed researchers to compile data points that were previously unavailable or difficult to access, and analyse them using novel tools, collectively described as ‘big data’. The role of eHealth become more important since early 2020, due to the physical distancing rules and the restrictions on mobility that have been applied worldwide as a response to the coronavirus disease 2019 pandemic. In this review, we summarize the most recent developments in various eHealth platforms and their relevance to the speciality of allergy and immunology, from the point of view of three major stakeholders: clinicians, patients and researchers.

EHealth platforms as user–data communication: Examining patients’ struggles with digital health data

AbstractSundhed.dkis Denmark's national eHealth platform allowing citizens to access their personal health data. Based on 16 qualitative interviews with patients, our aim in this article is to examine how patients engage with their health data. First, we illustrate how patients struggle in different ways to make sense of numerical measurements and written notes. Second, we examine the platform as a communicative space and suggest that a new “medical-domestic” space arises in which medical data is interpreted and negotiated at home. Third, we investigate how health data affects patients’ experiences of being involved as equal partners and how access to data potentially enhances patient empowerment, but also how expectations are sometimes unfulfilled. In conclusion, we argue for a broader public dialogue in order to make sure that the data provided actually creates an optimal starting point and does not foster insecurity or self-doubt on the patient's side.

Evaluation of an e-health platform for informal caregivers and health professionals: the case study of Help2Care

ABSTRACT The Help2Care e-Health platform was developed in order to capacitate informal caregivers with digital, multimedia training materials. Health professionals select these materials according to the needs of the homebound patients under the supervision of these caregivers. In turn, caregiver can then use their smartphones to consult and apply the care procedures illustrated by these materials. In this paper, we present the results of performed usability tests for both web and mobile software applications of the Help2Care platform. These indicate an overall positive outcome, revealing less usable aspects such as the navigation flow in the web application and some design elements in the mobile application. Important written feedback was also collected, which we took into consideration to improve the software features of the platform.

Design of the Maternal Website EMAeHealth That Supports Decision-Making During Pregnancy and in the Postpartum Period: Collaborative Action Research Study.

BackgroundDespite the benefit maternal education has for women, it needs new tools to increase its effectiveness and scope, in tune with the needs of current users.ObjectiveWe attempted to develop a multifunctional personalized eHealth platform aimed at the self-management of health in relation to maternity, which can be considered a flexible and adaptable maternal education tool.MethodsThe International Patient Decision Aid Standards (IPDAS) were applied. A website prototype was developed for implementation in the public health system using a collaborative action research process, in which experts and patients participate, with qualitative research techniques, as well as focus groups, prioritization, and consensus techniques.ResultsWe have proposed a website that includes (1) systematically updated information related to clinical practice guidelines, (2) interaction between peers and users/professionals, (3) instruments for self-assessment of health needs as a basis for working on counseling, agreement on actions, help in the search for resources, support in decision-making, and monitoring and evaluation of results, and (4) access for women to their clinical data and the option of sharing the data with other health agents. These components, with different access requirements, would be reviewed through iterative cycles depending on the frequency and effectiveness resulting from their use and would be accessible from any digital device.ConclusionsA website that supports maternal education should contain not only information, but also resources for individual attention and social support. Its usefulness for the health and satisfaction of women should be evaluated in various different environments.

A Teaching Kitchen Medical Groups Visit with an eHealth Platform for Hypertension and Cardiac Risk Factors: A Qualitative Feasibility Study

Introduction: Our Whole Lives-Hypertension (OWL-H) is an eHealth toolkit for hypertension and cardiac risks factors. It is a hybrid online self-management platform that teaches blood pressure (BP) self-monitoring and evidence-based lifestyle modifications combined with in-person teaching kitchen medical group visit. Qualitative feedback from participants regarding the facilitators and barriers of using OWL-H has been discussed in this article. Methods: The OWL-H platform was pilot tested in a pre-post trial with two cohorts of participants with hypertension (N = 24). The online intervention utilized OWL-H for teaching mindfulness meditation, the Dietary Approaches to Stop Hypertension nutrition plan, and evidence-based strategies for lifestyle modifications. Three in-person teaching kitchen medical group visits were held to demonstrate cooking skills to reinforce the online platform. Semi-structured focus group discussions (FGDs) were held after the intervention. Results: Fourteen of the 24 participants in the trial participated in the FGDs, and 1 participant provided feedback in a solo interview. Major themes that emerged included: (1) participants' request to tailor OWL-H's recipes and meal planning to suit their own dietary needs or preferences, to personalize the Home Practices (e.g., meditation) according to individual preferences (e.g., addition of nature sounds or guided visual imagery); (2) the strengths and weaknesses of OWL-H as a BP self-monitoring tool; (3) the need for community support in managing BP; and (4) participants noted lack of time, work and commute, Internet connectivity, stress, and sickness as obstacles in using OWL-H. Participants described feeling outpaced by the growth of technology and raised concerns of poor Internet connectivity hampering their use of OWL-H. Conclusion: OWL-H and the accompanying teaching kitchen medical group visit are potential tools to help reduce hypertension and cardiac risk factors. The intervention was found to have acceptability among people with lower income. Clinical Trials Registration#: NCT03974334.

Model learning to identify systemic regulators of the peripheral circadian clock

MotivationPersonalized medicine aims at providing patient-tailored therapeutics based on multi-type data toward improved treatment outcomes. Chronotherapy that consists in adapting drug administration to the patient’s circadian rhythms may be improved by such approach. Recent clinical studies demonstrated large variability in patients’ circadian coordination and optimal drug timing. Consequently, new eHealth platforms allow the monitoring of circadian biomarkers in individual patients through wearable technologies (rest-activity, body temperature), blood or salivary samples (melatonin, cortisol) and daily questionnaires (food intake, symptoms). A current clinical challenge involves designing a methodology predicting from circadian biomarkers the patient peripheral circadian clocks and associated optimal drug timing. The mammalian circadian timing system being largely conserved between mouse and humans yet with phase opposition, the study was developed using available mouse datasets.ResultsWe investigated at the molecular scale the influence of systemic regulators (e.g. temperature, hormones) on peripheral clocks, through a model learning approach involving systems biology models based on ordinary differential equations. Using as prior knowledge our existing circadian clock model, we derived an approximation for the action of systemic regulators on the expression of three core-clock genes: Bmal1, Per2 and Rev-Erbα. These time profiles were then fitted with a population of models, based on linear regression. Best models involved a modulation of either Bmal1 or Per2 transcription most likely by temperature or nutrient exposure cycles. This agreed with biological knowledge on temperature-dependent control of Per2 transcription. The strengths of systemic regulations were found to be significantly different according to mouse sex and genetic background.Availability and implementation https://gitlab.inria.fr/julmarti/model-learning-mb21eccb.Supplementary information Supplementary data are available at Bioinformatics online.

Assessing E-Health adoption readiness using diffusion of innovation theory and the role mediated by each adopter's category in a Mauritian context.

BackgroundThe preparedness of healthcare institutes for the foreseen changes expected to arise through the implementation of E-Health is a significant turning point in determining its success. This should be evaluated through the awareness and readiness of healthcare workers to adopt E-Health technology to reduce health information technology failures.MethodsThis study investigated the relationship between the perceived attributes of innovation and E-Health adoption decisions of healthcare workers as part of a preimplementation process. Using a cross-sectional quantitative approach, the dimensions of the diffusion of innovation (DOI) theory were used to assess the E-Health readiness of 110 healthcare workers in a Mauritian specialized hospital.ResultsA strong inclination towards E-Health adoption was observed, where the prime stimulators were perceived as modernization of healthcare management (84.1%, ẋ=4.19), increased work efficiency through reduction of duplication (77.6%, ẋ=4.10) and faster generation of results (71.1%, ẋ=4.07). The findings of this study also validated the use of five DOI dimensions (i.e. relative advantage, compatibility, complexity, trialability and observability) in a predictability model (F(5, 101)=17.067, p<0.001) towards E-Health adoption. A significant association between ‘adopter category’ and ‘willingness to recommend E-Health adoption’ (χ2(8)=74.89, p<0.001) endorsed the fact that physicians and nursing managers have central roles within a social ecosystem to facilitate the diffusion of technology and influence the adoption of innovation.ConclusionThis is the first study of its kind in Mauritius to successfully characterize each adopter's profile and demonstrate the applicability of the DOI framework to predict the diffusion rate of E-Health platforms, while also highlighting the importance of identifying key opinion leaders who can be primed by innovators regarding the benefits of E-Health platforms, thus ensuring non-disruptive evolutionary innovation in the Mauritian healthcare sector.

Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation.

BackgroundItaly was the first country to largely experience the COVID-19 epidemic among other Western countries during the so-called first wave of the COVID-19 pandemic. Proper management of an increasing number of home-quarantined individuals created a significant challenge for health care authorities and professionals. This was especially true when considering the importance of remote surveillance to detect signs of disease progression and consequently regulate access to hospitals and intensive care units on a priority basis.ObjectiveIn this paper, we report on an initiative promoted to cope with the first wave of the COVID-19 epidemic in the Spring/Summer of 2020, in the Autonomous Province of Trento, Italy. A purposefully built app named TreCovid19 was designed to provide dedicated health care staff with a ready-to-use tool for remotely monitoring patients with progressive symptoms of COVID-19, who were home-quarantined during the first wave of the epidemic, and to focus on those patients who, based on their self-reported clinical data, required a quick response from health care professionals.MethodsTreCovid19 was rapidly developed to facilitate the monitoring of a selected number of home-quarantined patients with COVID-19 during the very first epidemic wave. The app was built on top of an existing eHealth platform, already in use by the local health authority to provide home care, with the following functionalities: (1) to securely collect and link demographic and clinical information related to the patients and (2) to provide a two-way communication between a multidisciplinary health care team and home-quarantined patients. The system supported patients to self-assess their condition and update the multidisciplinary team on their health status. The system was used between March and June 2020 in the province of Trento.ResultsA dedicated multidisciplinary group of health care professionals adopted the platform over a period of approximately 3 months (from March-end to June 2020) to monitor a total of 170 patients with confirmed COVID-19 during home quarantine. All patients used the system until the end of the initiative. The TreCovid19 system has provided useful insights of possible viability and impact of a technological–organizational asset to manage a potentially critical workload for the health care staff involved in the periodic monitoring of a relevant number of quarantined patients, notwithstanding its limitations given the rapid implementation of the whole initiative.ConclusionsThe technological and organizational model adopted in response to the COVID-19 pandemic was developed and finalized in a relatively short period during the initial few weeks of the epidemic. The system successfully supported the health care staff involved in the periodic monitoring of an increasing number of home-quarantined patients and provided valuable data in terms of disease surveillance.

P170 Correlation between health-related quality of life and smartphone-based self-assessment of activity index in patients with ulcerative colitis

Abstract Background E-health platform can facilitate remote monitoring of ulcerative colitis (UC) patients. A recent study shows that patient-administered simple clinical colitis activity index (SCCAI) via online correlated well with physician-assessed SCCAI. We evaluated the correlation between the self-administered SCCAI through smartphone and health-related quality-of-life assessment. Methods Clinical disease activity was assessed by the SCCAI and health-related quality of life by the disease-specific, self-administered Inflammatory Bowel Disease Questionnaire (IBDQ). Patients were followed-up over six months. At months 3 and 6, patients completed SCCAI through access to the web-based system (PROscore system) via link sent by text message to the smartphone at the outside of the hospital; within 48 h, patients subsequently completed the questionnaire of IBDQ in the clinic and attending gastroenterologist (blinded to patients’ scores) assessed the in-clinic SCCAI (reference). SCCAI scores were categorized into remission or active disease. Results A total of 157 patients (median age: 41 years; 62% male) contributed with 310 pairs of questionnaires. SCCAI scores by patients inversely correlated well with IBDQ (Pearson’s ρ =0.39). Moreover, linear regression revealed that this correlation persists irrespective of patient age, gender, disease extent, and education status. Correlation of SCCAI scores by patients and physicians was good (Spearman’s ρ =0.36), with 66% agreement for remission or active disease. The negative predictive value for the active disease was 84.3%; the positive predictive value was 41.2.0%. Conclusion In patients with UC, self-administered SCCAI via smartphone showed a good correlation with physician assessed disease activity and the patient’s quality of life. This validated e-health platform may be useful in remote monitoring of UC patients.

Development of a Permanent Device for Fertility Period Detection by Basal Body Temperature and Analysis of the Cervical Mucus Potential of Hydrogen.

Background:Sometimes, women find it difficult to conceive a baby and others use contraceptives that often have side effects. Researchers have already established the importance of measuring basal body temperature (BBT) and the potential of hydrogen (pH).Method:We have designed and realized a device that allows the simultaneous measurement of the BBT and the pH. We used an Arduino Uno board, a pH sensor, and a temperature sensor. The device communicates with a smartphone, can be integrated into all e-health platforms, and can be used at home. We validated our ovulation detector by a measurement campaign on a group of twenty women. If the pH is >7 and at the same time, the BBT is minimum and <36.5°C, the women is in ovulation phase. If the pH is ≤7 and in the same time, the BBT is between 36.5°C and 37°C, the women are in preovulation or follicular phase. If the pH is ≤7 and in the same time, the BBT is >36.5°C, the women are in postovulation or luteal phase.Results:We tested the contraceptive aspect of our ovulometer on a set of seven women. We also tested the help of conceiving babies by having intercourse during the ovulation period fixed by our ovulation detector. The results are satisfactory.Conclusions:In the final version of our device, we displayed just in “fertility period” if the pH is ≥7 and the BBT is <36.5°C else we displayed in “nonfertility period.”

Design of an E-Health platform using artificial intelligence technologies for the surveillance and prevention of patients with cardiovascular diseases against covid19

Funding AcknowledgementsType of funding sources: None.IntroductionCovid-19 disease is caused by SARS-CoV-2.The symptomatology is variable, it can range from a common cold to a severe acute respiratory distress. Severe forms are mainly seen in patients with cardio vascular disease, they are at very high risk of mortality. The aim of our project is to design and producean E-Health platform to enable telemedicine acts such as telemonitoring and assistance of patients with cardio vascular disease to prevent covid 19 infectionMaterials and methodsIt is an e-health platform that uses digital technologies associated with artificial intelligence to provide remote monitoring and assistance to patients; It consists of two parts: the acquisition of patient data, a gateway and a central system. Acquisition of patient data by sensors equipped with a wireless data transmission device allowing the recovery of patient health indices such as heart rate, respiratory rate ..., a mobile application which allows to acquire data emitted by the sensors placed on the patient, which includes an AI module that analyzes the data in real time in order to send alerts to the patient Expected resultsThrough telemedicine, patients with cardiac diseases will be under continuous monitoring of hemodynamic parameters: Temperature, Arterial oxygen saturation, Heart Rate, Blood Pressure, Electrocardiogram ...,,these data will be processed by an AI module which will analyze the results and will detect anomalies. The latter will give recommendations and immediately alert the patientConclusionTelemedicine is a new and innovative concept, it will improve the health care and will have a great socio-economic impact on bothpatient andhealth services. it"s can help to fight against Covid 19 infection.

Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment

This article proposes a new framework for a Cloud-based eHealth platform concept focused on Cloud computing environments, since current and emerging approaches using digital clinical history increasingly demonstrate their potential in maintaining the quality of the benefits in medical care services, especially in computer-assisted clinical diagnosis within the field of infectious diseases and due to the worsening of chronic pathologies. Our objective is to evaluate and contrast the performance of the architectural patterns most commonly used for developing eHealth applications (i.e., service-oriented architecture (SOA) and microservices architecture (MSA)), using as reference the quantitative values obtained from the various performance tests and their ability to adapt to the required software attribute (i.e., versatile high-performance). Therefore, it was necessary to modify our platform to fit two architectural variants. As a follow-up to this activity, corresponding tests were performed that showed that the MSA variant functions better in terms of performance and response time compared to the SOA variant; however, it consumed significantly more bandwidth than SOA, and scalability in SOA is generally not possible or requires significant effort to be achieved. We conclude that the implementation of SOA and MSA depends on the nature and needs of organizations (e.g., performance or interoperability).

Impact of assessment frequency of patient-reported outcomes: an observational study using an eHealth platform in cancer patients.

The evaluation of patient-reported outcomes (PRO) in cancer has proven relevant positive clinical impact on patients' communication with healthcare professionals, decision-making for management, well-being, and overall survival. However, the optimal frequency of PRO assessment has yet to be defined. Based on the assumption that more frequent sampling would enhance accuracy, we aimed at identifying the optimal sampling frequency that does not miss clinically relevant insight. We used pilot data from 31 advanced cancer patients who completed once daily the 19-item MD Anderson Symptom Inventory at home. The resulting dataset allowed us to compare different PRO assessment frequencies to daily sampling, i.e., alternate days (q2d), every third day (q3d), or once a week (q1w). We evaluated the sampling frequencies for two main outcomes: average symptom intensity and identification of severe symptoms. The majority of the differences between corresponding averages of daily data and those for q2d, q3d, and q1w datasets were close to 0, yet the extremes exceeded 5. Clinically meaningful differences, i.e., > 1, were observed in 0.76% of patient items for q2d, in 2.72% for q3d, and in 11.93% for q1w. Moreover, median values of missed instances of a severe symptom (i.e., > 6) were 14.6% for q2d, 27.8% for q3d, and 55.6% for q1w. Our analysis suggests that in patients receiving chemotherapy for advanced cancer, increasing the density of PRO collection enhances the accuracy of PRO assessment to a clinically meaningful extent. This is valid for both computations of averages symptom burden and for the recognition of episodes of severe symptom intensity.

Protocol for the Implementation and Assessment of "MoodUP": A Stepped Care Model Assisted by a Digital Platform to Accelerate Access to Mental Health Care for Cancer Patients Amid the COVID-19 Pandemic.

The COVID-19 pandemic has important consequences for the mental health of populations. Patients with cancer, already at risk for poor mental health outcomes, are not expected to be spared from these consequences, prompting the need for health services to improve responsiveness. This article presents the research protocol for an implementation study designed to describe the uptake of a well-studied and recognized system for the treatment of depression and anxiety (Stepped-care) during the specific context of a Pandemic in an oncological site. The system set-up will be assisted by a digital platform (MoodUP), where patients undergoing cancer treatment will be screened for anxiety and depressive symptoms, triaged by severity level and algorithm-matched to recommended interventions. Patients undergoing cancer treatment at a cancer clinic in Portugal will be invited to subscribe to the MoodUP platform where they will complete a self-reported questionnaire (Hospital Anxiety and Depression Scale) to screen their anxiety and depressive symptoms. Data will be instantly collected, and an algorithm will activate severity-matched intervention suggestions, through a case manager that will coordinate care. The specific objectives of this study will be to describe the implementation and acceptability of the care system by patients and staff, the barriers to and facilitators of implementation, the proportion of patients accessing the system and their pathways through the various stepped-care interventions, and patient perceptions regarding the feasibility and appropriateness of the eHealth platform. Moreover, exploratory analyses will be conducted to describe patterns of anxiety and depression symptoms variation across all patients, as well as within sociodemographically, clinically and contextually characterized subgroups, to characterize their care needs and access, as well as to explore for whom the MoodUP care system may be more appropriate. This study is expected to improve processes for collaborative mental healthcare in oncology and accelerate the digitalization of services, towards the improvement of mental healthcare access, and management of high-risk patients, during the COVID-19 pandemic.

Quality, Features, and Presence of Behavior Change Techniques in Mobile Apps Designed to Improve Physical Activity in Pregnant Women: Systematic Search and Content Analysis.

BackgroundPhysical activity during pregnancy is associated with several health benefits for the mother and child. However, very few women participate in regular physical activity during pregnancy. eHealth platforms (internet and mobile apps) have become an important information source for pregnant women. Although the use of pregnancy-related apps has significantly increased among pregnant women, very little is known about their theoretical underpinnings, including their utilization of behavior change techniques (BCTs). This is despite research suggesting that inclusion of BCTs in eHealth interventions are important for promoting healthy behaviors, including physical activity.ObjectiveThe aim of this study was to conduct a systematic search and content analysis of app quality, features, and the presence of BCTs in apps designed to promote physical activity among pregnant women.MethodsA systematic search in the Australian App Store and Google Play store using search terms relating to exercise and pregnancy was performed. App quality and features were assessed using the 19-item Mobile App Rating Scale (MARS), and a taxonomy of BCTs was used to determine the presence of BCTs (26 items). BCTs previously demonstrating efficacy in behavior changes during pregnancy were also identified from a literature review. Spearman correlations were used to investigate the relationships between app quality, app features, and number of BCTs identified.ResultsNineteen exercise apps were deemed eligible for this review and they were accessed via Google Play (n=13) or App Store (n=6). The MARS overall quality scores indicated moderate app quality (mean 3.5 [SD 0.52]). Functionality was the highest scoring MARS domain (mean 4.2 [SD 0.5]), followed by aesthetics (mean 3.7 [SD 0.6]) and information quality (mean 3.16 [SD 0.42]). Subjective app quality (mean 2.54 [SD 0.64]) and likelihood for behavioral impact (mean 2.5 [SD 0.6]) were the lowest scoring MARS domains. All 19 apps were found to incorporate at least two BCTs (mean 4.74, SD 2.51; range 2-10). However, only 11 apps included BCTs that previously demonstrated efficacy for behavior change during pregnancy, the most common being provide opportunities for social comparison (n=8) and prompt self-monitoring of behavior (n=7). There was a significant positive correlation between the number of BCTs with engagement and aesthetics scores, but the number of BCTs was not significantly correlated with functionality, information quality, total MARS quality, or subjective quality.ConclusionsOur findings showed that apps designed to promote physical activity among pregnant women were functional and aesthetically pleasing, with overall moderate quality. However, the incorporation of BCTs was low, with limited prevalence of BCTs previously demonstrating efficacy in behavior change during pregnancy. Future app development should identify and adopt factors that enhance and encourage user engagement, including the use of BCTs, especially those that have demonstrated efficacy for promoting physical activity behavior change among pregnant women.