Construction of the whole-process nursing service system for day surgery patient based on the Kano model: A pilot cluster randomized controlled trial.

Objective: The types and number of day surgeries have significantly increased, but the construction of the whole process nursing service system (WPNSS) for preoperative education, intraoperative cooperation, postoperative knowledge, and follow-up for day surgery patients is still in the exploratory stage. The aim of this study is to establish the WPNSS for day surgery patients using the Kano model and to preliminarily assess its efficacy. Methods: WPNSS for day surgery was devised leveraging Internet hospital information systems and patient mobile terminals (WeChat), guided by the World Health Organization's conceptual framework for scaling-up strategies. The system was methodically developed, progressing from defining the overall framework to delineating modular functions and developing specific educational materials and tools. A pilot test was conducted in a hospital in China. Results: WPNSS, a patient-centric remote education and monitoring system, seamlessly amalgamates health education, online consultations, and follow-up functionalities; offering semi-automated surgical consultations, inquiry services, and postoperative follow-ups, as well as autonomously disseminating perioperative health education content. Comprising both client and server components, patients utilizing the system are inclined to recommend day surgery at the hospital to others. Conclusions: WPNSS delivers personalized and precise health education, consultation, and postoperative follow-up services for day surgery patients. Current results suggest that the WPNSS may improve patients' experience. Trial Registration: Chinese Clinical Trial Register (ChiCTR2200066782).

Acceptance of mobile application-based clinical guidelines among health professionals in Northwestern Ethiopia: A mixed-methods study.

Background: Globally, healthcare providers have faced significant difficulties in adhering to clinical guidelines. Applying mobile health systems is a crucial strategy for enhancing the dissemination and accessibility of clinical guidelines. This study aimed to assess the acceptance of mobile app-based primary healthcare clinical guidelines and associated factors among health professionals in central Gondar health centers. Methods: A cross-sectional study supplemented with qualitative data was conducted on 403 health workers. Data were collected using a pre-test structured printed questionnaire and entered into EpiData version 4.6. Analysis was conducted using Stata version 14, which included bivariable and multivariable logistic regression analyses. For qualitative data, thematic analysis was conducted using Open Code v.4.2. Results: Approximately 28% (95% confidence interval (CI): 23%-32%) of health professionals had utilized mobile app-based clinical guidelines. The availability of IT support (adjusted odds ratio (AOR) = 3.51, 95% CI: 1.82-6.78), good knowledge (AOR = 3.46, 95% CI: 1.5-6.78), perceived usefulness (AOR = 2.21, 95% CI: 1.00-4.99), m-Health app exposure (AOR = 2.34, 95% CI: 1.2-4.50), and ease of use (AOR = 5.77, 95% CI: 2.50-13.32) were significantly associated with the acceptance of the mobile app-based clinical guideline. In qualitative data, lack of training and supervision and access to smartphones were barriers to acceptance of the mobile app-based clinical guideline. Conclusion: In summary, acceptance of the app is currently low. However, it can be increased by improving the availability of IT support in the workplace, offering training and supervision, and enhancing access to smartphones.

RegulEm, an unified protocol based-app for the treatment of emotional disorders: a parallel mixed methods usability and quality study.

BACKGROUND: Interest in mental health smartphone applications has grown in recent years. Despite their effectiveness and advantages, special attention needs to be paid to two aspects to ensure app engagement: to include patients and professionals in their design and to guarantee their usability. The aim of this study was to analyse the perceived usability and quality of the preliminary version of RegulEm, an app based in the Unified Protocol, as part of the second stage of the app development. METHODS: A parallel mixed methods study was used with 7 professionals and 4 users who were previously involved in the first stage of the development of the app. MARS, uMARS and SUS scales were used, and two focus groups were conducted. Descriptive statistical analysis and a thematic content analysis were performed in order to gather as much information as possible on RegulEm's usability and quality as well as suggestions for improvement. RESULTS: RegulEm's usability was perceived through the SUS scale scores as good by users (75 points) and excellent by professionals (84.64 points), while its quality was perceived through the uMARS and MARS scales as good by both groups, with 4 and 4.14 points out of 5. Different areas regarding RegulEm's usability and suggestions for improvement were identified in both focus groups and 20% of the suggestions proposed were implemented in the refined version of RegulEm. CONCLUSION: RegulEm's usability and quality were perceived as good by users and professionals and different identified areas have contributed to its refinement. This study provides a more complete picture of RegulEm's usability and quality prior analysing its effectiveness, implementation and cost-effectiveness in Spanish public mental health units.

Smartphone App for Prehospital ECG Transmission in ST-Elevation Myocardial Infarction Activation: Protocol for a Mixed Methods Study.

BACKGROUND: Timely diagnosis and treatment for ST-elevation myocardial infarction (STEMI) requires a coordinated response from multiple providers. Rapid intervention is key to reducing mortality and morbidity. Activation of the cardiac catheterization laboratory may occur through verbal communication and may also involve the secure sharing of electrocardiographic images between frontline health care providers and interventional cardiologists. To improve this response, we developed a quick, easy-to-use, privacy-compliant smartphone app, that is SMART AMI-ACS (Strategic Management of Acute Reperfusion and Therapies in Acute Myocardial Infarction Acute Coronary Syndromes), for real-time verbal communication and sharing of electrocardiographic images among health care providers in Ontario, Canada. The app further provides information about diagnosis, management, and risk calculators for patients presenting with acute coronary syndrome. OBJECTIVE: This study aims to integrate the app into workflow processes to improve communication for STEMI activation, resulting in decreased treatment times, improved patient outcomes, and reduced unnecessary catheterization laboratory activation and transfer. METHODS: Implementation of the app will be guided by the Reach, Effectiveness, Acceptability, Implementation, and Maintenance (RE-AIM) framework to measure impact. The study will use quantitative registry data already being collected through the SMART AMI project (STEMI registry), the use of the SMART AMI app, and quantitative and qualitative survey data from physicians. Survey questions will be based on the Consolidated Framework for Implementation Research. Descriptive quantitative analysis and thematic qualitative analysis of survey results will be conducted. Continuous variables will be described using either mean and SD or median and IQR values at pre- and postintervention periods by the study sites. Categorical variables, such as false activation, will be described as frequencies (percentages). For each outcome, an interrupted time series regression model will be fitted to evaluate the impact of the app. RESULTS: The primary outcomes of this study include the usability, acceptability, and functionality of the app for physicians. This will be measured using electronic surveys to identify barriers and facilitators to app use. Other key outcomes will measure the implementation of the app by reviewing the timing-of-care intervals, false "avoidable" catheterization laboratory activation rates, and uptake and use of the app by physicians. Prospective evaluation will be conducted between April 1, 2022, and March 31, 2023. However, for the timing- and accuracy-of-care outcomes, registry data will be compared from January 1, 2019, to March 31, 2023. Data analysis is expected to be completed in Fall 2024, with the completion of a paper for publication anticipated by the end of 2024. CONCLUSIONS: Smartphone technology is well integrated into clinical practice and widely accessible. The proposed solution being tested is secure and leverages the accessibility of smartphones. Emergency medicine physicians can use this app to quickly, securely, and accurately transmit information ensuring faster and more appropriate decision-making for STEMI activation. TRIAL REGISTRATION: ClinicalTrials.gov NCT05290389; https://clinicaltrials.gov/study/NCT05290389. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55506.

The evolution and mapping trends of mobile health (m-Health): a bibliometric analysis (1997-2023).

Background: Mobile health (m-Health) is widely acknowledged as a pivotal domain for improving global healthcare and driving its digital health transformation. Despite the vast amount of literature published in recent years, bibliometric studies on m-Health remain limited in scope and coverage. This study presents a comprehensive review of m-Health literature extracted from Scopus and PubMed databases, spanning the period from 1997 to 2023, including publications during the coronavirus disease 2019 (COVID-19) pandemic. Methods: The combined Scopus and PubMed databases were used in this study. The search formula for the literature retrieval used the most appropriate and relevant keywords to m-Health. The bibliometric data importation, extraction and analysis of authors, titles, publication date, publication place, publisher, volume number, issue number, citation count, document type, author keywords, affiliation were all carried out using the 'Biblioshiny', 'EndNote X9®', 'Microsoft Excel®' and 'Microsoft Access®' software tools. Duplicate records were manually identified and removed. Visualization maps illustrating the recurrent keywords, collaboration patterns, and prolific publishing countries were generated using 'VOSviewer®'. Results: A total of 37,470 (20,703 from Scopus and 16,767 from PubMed) publications were selected for the literature analysis. The results provided the definitive literature evidence on the origin of the concept of m-Health in 2003. Significant increase in the publications followed the global surge of smart phones usage in 2007, and the emergence of m-Health applications (Apps) and their global markets and ecosystems. The number of the publications peaked between 2013 and 2022 with most citations in 2022. There was noticeable spike in m-Health literature during the COVID-19 pandemic. The results also showed that most of the highly cited publications, leading institutions, and most prolific authors were predominantly from the developed countries. The USA has the highest number of publications followed by the UK, Australia, Germany, Canada and China, with most of the prolific authors originating from these countries. Conclusions: In conclusion, while there has been a remarkable increase in global m-Health publications since 2003, most of the impactful literature and publications in this area originated from selected countries in the developed world. The study indicates a significant disparity between the published literature from developed compared to the developing countries. Addressing this disparity, further bibliographical studies are required to address these and other literature gaps.

Improving COVID-19 contact tracing and testing of exposed individuals in Cameroon using digital health technology: a cluster randomised trial.

Background: Contact tracing was described as a key strategy to contribute to controlling the spread of severe acute respiratory syndrome of Coronavirus 2 (SARS-CoV-2) but implementing it can be a challenge. Digitalisation of contact tracing is among the proposed solutions being explored in sub-Saharan African settings. We assessed the effectiveness of a digital tool to expand SARS-CoV-2 testing in exposed individuals in Cameroon. Methods: We conducted a cluster-randomised (1:1) trial in eight health districts, including 22 facilities and SARS-CoV-2 testing units, randomly assigned to a digital (intervention) or standard (control) contact tracing approach. The intervention consisted of a contact tracing module added to the digital platform "Mamal PRO" used for monitoring and coordination of Coronavirus Disease 2019 pandemic response in Cameroon. The primary outcome was the proportion of contacts declared by SAR-CoV-2 index patients who were successfully traced and tested for SARS-CoV-2 evaluated with a Poisson regression model with cluster adjustment. This study is registered with ClinicalTrials.gov (NCT05684887). Findings: Between October 18, 2022, and March 31, 2023, we enrolled 164 index patients in the intervention arm and 149 in the control arm, who identified 854 and 849 contacts, respectively. In the intervention arm, 93.8% (801/854) of identified contacts were successfully reached by the tracing unit versus 54.5% (463/849) in the control arm. The intervention significantly increased the likelihood of successfully tracing contacts (adjusted relative risks (RR) 1.72 [95% CI: 1.00-2.95], p = 0.049). The median (interquartile range, IQR) time to successfully tracing contacts was 0 days [IQR: 0, 1] in the intervention and 1 day [IQR: 0, 2] in the control arm. In the intervention arm, 21.3% (182/854) of identified contacts received SARS-CoV-2 testing compared to 14.5% (123/849) in the control arm (adjusted RR 1.47 [95% CI: 0.44-4.90], p = 0.530). Interpretation: Digitalising the contact tracing process improved exposure notification and facilitated the tracing of a greater number of contacts of individuals infected with SARS-CoV-2 in resource-limited settings. Funding: The study was funded by FIND, United Kingdom (FCDO 40105983), Switzerland (81066910), Netherlands (SDD 4000004160), Canada (DFATD 7429348), The Kingdom of Saudi Arabia (FIND-ACT-A DX PARTNERSHIP 20.08.2020), The Rockefeller Foundation (2020 HTH 059), Germany (BMZ Covid-19 Diagnostic and Surveillance Response 27.07.2021), Australia (DFAT 76442), Kuwait (M239/2020), The Government of Portugal and Partners (ANF, BCP, CGF, APIFARMA) and The BlackRock Foundation (Grant Agreement as of April 20, 2022).

Predicting Epileptic Seizures Using Biometric Sensors - A Pilot Study Protocol.

Epilepsy is a prevalent neurological disorder characterized by unpredictable seizures despite some known risk factors. Using an mHealth system and Empatica EmbracePlus, we aim to examine if biometric sensor data can detect and predict epileptic seizures. Five participants with epilepsy will be followed for a minimum of 15 seizures. Expected results and possible implications are presented. This study may provide new insights into biological indicators for seizure forecasting.

Towards Automatic Migraine-Event Prediction Using Continuous Sensor Data.

Migraine is a chronic headache disorder. A prototype mobile app-based system was implemented to test data collection and improve data coverage for the Empatica E4 biometric sensor device. Results from the prototype testing are reported. Future iteration of the app will be tested with patients with migraine to predict events and potentially reduce event duration and therefore disease burden.

Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data Collection.

In recent years, the integration of game-like elements into non-gaming contexts has shown promise in enhancing user engagement and motivation. This study assesses the impact of gamification elements on data collection efficacy in m-health applications. An ad-hoc mobile application was developed and used in a randomized two-arm pilot study. Participants interacted either with the gamified meal-logging application or with its non-gamified version for ten days. The results from this study emphasize the benefits of incorporating gamification techniques into health applications embedded in digital platforms. While both versions were well-received, reaching high System Usability Scale (SUS) scores (91 and 93.5) and generally positive feedback, the gamified app demonstrated a distinct advantage in promoting user engagement and consistent data logging. This highlights the importance of gamification in health research, suggesting its potential to ensure thorough and consistent data collection, which is essential for producing reliable research outcomes.

[Translated article] Digital health for promoting adherence to antiretroviral treatment in patients with HIV/AIDS: A meta-review.

INTRODUCTION: Digital health or "e-health" is a set of applications based on information and communication technologies (ICTs) that can be used to promote self-care and medication adherence in patients with chronic diseases. The aim of this study was to carry out a review of systematic reviews (meta-review) on efficacy studies of e-health interventions to promote adherence to antiretroviral therapy (ART) in people living with HIV/AIDS. METHODOLOGY: A review of systematic reviews ("meta-review") was performed using the Medline-PubMed database on efficacy studies of e-health components to promote adherence to ART, in patients with HIV/AIDS, proposing a structured search strategy (PICO question). A selection process for systematic reviews was conducted based on inclusion and exclusion criteria. Subsequently, the corresponding data were extracted, and the analysis was accomplished in descriptive tables. RESULTS: A total of 29 systematic reviews were identified, from which 11 were selected. These reviews comprised 55 RCTs with different e-health interventions and enrolled a total of 15,311 HIV/AIDS patients. Studies included a total of 66 comparisons (experimental group vs. control group) in indirect adherence measurements based on different measurement techniques (36 statistically significant); 21 comparisons of viral load (VL) measurements (10 statistically significant); and 8 comparisons of CD4+ cell count measurements (3 statistically significant). m-Health was the most studied component followed by the telephone call and e-learning. CONCLUSION: Evidence was found that supports that some e-health interventions are effective in promoting adherence to ART and improving health outcomes in patients with HIV/AIDS, although it is identified that more studies are needed for more robust evidence.

Attitudes of the general population and mental health practitioners towards blended therapy in Austria.

INTRODUCTION: Mental health problems are steadily increasing worldwide. In Austria, the overall supply of mental health services is low, especially in rural areas. Mobile technology and a blended care approach have the potential to overcome problems with service provision. The aim of this study was to map the attitudes of practitioners and people living in Austria towards blended therapy. METHOD: Two individual online questionnaires (including the Unified Theory of Acceptance and Use of Technology, advantages and disadvantages, useful features) were distributed to practitioners and the general population in Austria. RESULTS: The questionnaires were answered by 152 members of the general public and 129 practitioners. The general population and practitioners seem to be cautious, but slightly positive about blended therapy. Previous experience of practitioners with blended therapy was low. Practitioners are most worried about the therapeutic process and their work-life balance, while the general population is worried about being overwhelmed by the concept, mainly due to the time investment. Tracking, recording and reminding functions (e.g., for mood, homework) were seen as especially valuable features and accessibility was deemed the biggest advantage by both samples. CONCLUSION: Practitioners' attitudes are important for implementation of blended therapy. More awareness might help against the cautiousness as well as implementing digital health applications in Austrian health policies.

Construction of a Full-Process Nursing Service Platform for Day Surgery Patients Based on Kano Model.

This study was based on the Kano model and rely on the Internet hospital to build a day surgery patient full-process nursing service platform. Based on the Internet hospital's HIS system, nursing Yuanzhuo system, patient mobile terminal (WeChat) and other information systems. The platform was designed by following the WHO's conceptual framework for developing a scaling-up strategy. It was tested and refined by a pilot in a hospital in China. The full-process care platform for day surgery patients realizes information interconnection and interoperability of patient surgical consultation, surgical inquiries, and postoperative follow-up. It consists of a WeChat applet (client) and an online website (server). Pre-experiment results show that patients are more likely to recommend the hospital's day surgery to others. The mHealth-based perioperative full-process nursing service platform for day surgery patients can initially meet the health education needs, surgical consultation needs and follow-up needs of day surgery patients.

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example.

BACKGROUND: None of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care and to highlight methods for solving the common obstacles faced during the application of M-health nursing service. METHODS: We followed a four-step process: (a) Forming a cross-functional interdisciplinary development team containing two sub-teams, one for content development and the other for software development. (b) Applying self-management theory as the theoretical framework to develop the M-health application, using contextual analysis to gain a comprehensive understanding of the case management needs of oncology nursing specialists and the supportive care needs of out-of-hospital breast cancer patients. We validated the preliminary concepts of the framework and functionality of the M-health application through multiple interdisciplinary team discussions. (c) Adopting a multi-stage optimization strategy consisting of three progressive stages: screening, refining, and confirmation to develop and continually improve the WeChat mini-programs. (d) Following the user-centered principle throughout the development process and involving oncology nursing specialists and breast cancer patients at every stage. RESULTS: Through a continuous, iterative development process and rigorous testing, we have developed patient-end and nurse-end program for breast cancer case management. The patient-end program contains four functional modules: "Information", "Interaction", "Management", and "My", while the nurse-end program includes three functional modules: "Consultation", "Management", and "My". The patient-end program scored 78.75 on the System Usability Scale and showed a 100% task passing rate, indicating that the programs were easy to use. CONCLUSIONS: Based on the contextual analysis, multi-stage optimization strategy, and interdisciplinary team work, a WeChat mini-program has been developed tailored to the requirements of the nurses and patients. This approach leverages the expertise of professionals from multiple disciplines to create effective and evidence-based solutions that can improve patient outcomes and quality of care.

Feasibility and Cardiometabolic Effects of Time-Restricted Eating in Patients with Metabolic Syndrome.

Metabolic syndrome (MetS) and a prolonged daily eating window (EW) are associated with circadian rhythm disruption and increased cardiometabolic risk. Misalignment between circadian timing system and daily rhythms of food intake adversely impacts metabolic regulatory mechanisms and cardiovascular function. Restricting the daily EW by imposing an eating-fasting cycle through time-restricted eating (TRE) can restore robust circadian rhythms, support cellular metabolism, and improve cardiometabolic health. The aim of this study was to assess a feasibility of 12-week TRE intervention with self-selected 10 h EW and effects of TRE on EW duration, cardiometabolic outcomes, daily rhythms of behavior, and wellbeing in Polish patients with MetS and EW ≥ 14 h/day. Dietary intake was monitored with a validated myCircadianClock application (mCC app). Adherence to TRE defined as the proportion of days recorded with mCC app in which participants satisfied 10-h TRE was the primary outcome. A total of 26 patients (aged 45 ± 13 years, 62% women, 3.3 ± 0.5 MetS criteria, EW 14 ± 1.5 h/day) were enrolled. Coexistence of increased waist circumference (WC) (96% of patients), elevated fasting plasma glucose (FPG) (77%), and elevated blood pressure (BP) (69%) was the most common MetS pattern (50%). TRE intervention (mean duration of 81.6 ± 12.6 days) led to reducing daily EW by 28% (p < 0.0001). Adherence to TRE was 87 ± 13%. Adherence to logging food intake on mCC app during TRE was 70 ± 27%. Post TRE, a decrease in body weight (2%, 1.7 ± 3.6 kg, p = 0.026), body mass index (BMI) (1%, 0.5 ± 1.2 kg/m2, p = 0.027), WC (2%, 2.5 ± 3.9 cm, p = 0.003), systolic BP (4%, 4.8 ± 9.0 mmHg, p = 0.012), FPG (4%, 3.8 ± 6.9 mg/dL, p = 0.037), glycated hemoglobin (4%, 0.2 ± 0.4%, p = 0.011), mean fasting glucose level from continuous glucose monitor (CGM) (4%, 4.0 ± 6.1 mg/dL, p = 0.002), and sleepiness score (25%, 1.9 ± 3.2 points, p = 0043) were observed. A significant decrease in body weight (2%), BMI (2%), WC (3%), mean CGM fasting glucose (6%), sleepiness score (27%), and depression score (60%) was found in patients with mean post-TRE EW ≤ 10 h/day (58% of total), and not in patients with EW > 10 h/day. Adherence to TRE was higher in patients with post-TRE EW ≤ 10 h/day vs. patients with EW > 10 h/day (94 ± 6% vs. 77 ± 14%, p = 0.003). Our findings indicate that 10-h TRE was feasible in the European MetS population. TRE resulted in reducing daily EW and improved cardiometabolic outcomes and wellbeing in patients with MetS and prolonged EW. Use of the mCC app can aid in implementing TRE. This pilot clinical trial provides exploratory data that are a basis for a large-scale randomized controlled trial to determine the efficacy and sustainability of TRE for reducing cardiometabolic risks in MetS populations. Further research is needed to investigate the mechanisms of TRE effects, including its impact on circadian rhythm disruption.

The Role of Telemedicine in Strabismus Assessment: A Narrative Review and Meta-Analysis.

Purpose: Strabismus is a common ocular condition requiring precise quantification of gaze deviation and qualification of strabismus category. Telemedicine refers to the use of technology to remotely diagnose and treat medical conditions. This narrative review aimed to assess the efficacy of a variety of telemedicine modalities for the assessment of strabismus. A secondary objective was to quantify overall accuracy, sensitivity, and specificity of automated methods using meta-analysis of available data. Methods: A literature search was conducted using the Ovid MEDLINE, Embase, and Cochrane Library data libraries. Keywords, including "strabismus," "phoria," "telemed*," and "telehealth," were used to locate relevant studies, with Medical Subject Headings terms, free text, and synonyms. No year restrictions were applied. Studies not in English were excluded. Risk of bias was assessed using the QUADAS-2 tool. Results: Thirty-four studies were included. All outcomes relating to accuracy and reliability of telemedicine versus a reference standard were extracted, as well as qualitative observations. High sensitivity, specificity, accuracy, and agreement were consistently shown across studies. Meta-analysis of two subsets featuring automated methods, for which relevant data were available, revealed a pooled accuracy of 0.877 (0.806-0.949), sensitivity of 0.856 (0.805-0.907), and specificity of 0.900 (0.845-0.954). Subcategories "remote standard assessment," "digital image analysis," "wearable devices," "mobile health (mHealth)," and "artificial intelligence" were independently examined. Conclusions: The majority of systems achieved parity with standard physician assessment, with the added benefit of eliminating subjectivity. Meta-analysis results suggest potential introduction of remote automated assessment where conventional assessment is unavailable, although accuracy of current technologies remains limited compared to in-person examination. Telemedicine modalities described offer convenience for patients, shorter examination times, and the potential to go beyond in-person assessments. The evidence gathered in this review supports the beginning of telemedicine integration into the world of strabismus diagnosis.

Effectiveness of m-health technology-enabled physical activity program on physical activity adoption and adherence in people with hypertension in India: A randomized controlled trial protocol.

Background: Exercise and medication have similar benefits in reducing blood pressure (BP); however, hypertension management initiatives primarily focus on medicines. This is due to scarce research on the effectiveness of implementation strategies for optimal exercise adoption and adherence. Smartphones were found to be effective in delivering hypertension care and increase exercise adherence. Despite this, only a small number of research projects in India have used smartphones as a strategy for managing hypertension. Methods: We hypothesized that smartphone application-based care would lead to higher exercise adherence among adults (30-79 years) with hypertension compared to those who receive usual care. It will be a multicentric, randomized controlled, parallel-design, superiority clinical trial. The outcome assessor and data analyst will be blinded to group allocation. Participants in the intervention group will receive mobile application-based care for 6 weeks. Participants in the usual care group will receive a standard intervention. Both groups will receive the same number of follow-ups. Results: The primary outcome is the difference in the proportion of people adherent to the recommended level of physical activity evaluated using an exercise adherence rating scale in the intervention group and the control group. Exercise adoption will be measured as the percentage of eligible participants in each study setting willing to initiate the exercise program. The secondary outcome includes differences in systolic and diastolic BP and self-management (evaluated using the Hypertension Self-Care Profile). The trial outcome will be accompanied by a process evaluation. Conclusions: This research will inform about the comparative effectiveness of conventional and m-health interventions for exercise adoption and adherence in people with hypertension in resource-constrained settings.

Understanding and Involving the Perspective of Pregnant Women as Users When Designing the Framework of e-Health and Exercise Interventions during Pregnancy: Preliminary Study.

Health and exercise technology may promote a healthy lifestyle during pregnancy. The objective of this cross-sectional study was to understand and involve the perspective of pregnant women as users in the design of a framework for future e-health and exercise interventions during pregnancy. Pregnant women replied to a questionnaire aimed at understanding their physical activity patterns, needs, and preferences regarding the use of mobile applications (apps). The main results showed that one-third of the women did not practice any type of exercise during pregnancy. Women preferred to exercise in a gym, outdoors, or at home. The majority already had or were currently using a fitness app, but never used any pregnancy-specific app. Most women agreed that it was important to have a specific app for pregnancy to improve knowledge about recommendations on lifestyle, have direct contact with health and exercise professionals, have social interaction with other mothers, and have guidance on preparation for childbirth and postpartum recovery. Understanding and involving the perspective of pregnant women as users will allow researchers to improve the design of a pregnancy-specific app and future e-health and exercise interventions during pregnancy. These preliminary results will lead to the development of the "active pregnancy app" focused on the promotion of an active and healthy lifestyle during pregnancy and postpartum.

Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study.

Background: Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary intake data for this age group. The Food Recognition Assistance and Nudging Insights (FRANI) is a smartphone application validated for dietary assessment and to influence users toward healthy food choices. Objectives: This study aimed to assess the feasibility (adherence, acceptability, and usability) of FRANI and its effects on food choices and diet quality in female adolescents in Vietnam. Methods: Adolescents (N = 36) were randomly selected from a public school and allocated into 2 groups. The control group received smartphones with a version of FRANI limited to dietary assessment, whereas the intervention received smartphones with gamified FRANI. After the first 4 wk, both groups used gamified FRANI for further 2 wk. The primary outcome was the feasibility of using FRANI as measured by adherence (the proportion of completed food records), acceptability and usability (the proportion of participants who considered FRANI acceptable and usable according to answers of a Likert questionnaire). Secondary outcomes included the percentage of meals recorded, the Minimum Dietary Diversity for Women (MDDW) and the Eat-Lancet Diet Score (ELDS). Dietary diversity is important for dietary quality, and sustainable healthy diets are important to reduce carbon emissions. Poisson regression models were used to estimate the effect of gamified FRANI on the MDDW and ELDS. Results: Adherence to the application was 82% and the percentage of meals recorded was 97%. Acceptability and usability were 97%. MDDW in the intervention group was 1.07 points (95% CI: 0.98, 1.18; P = 0.13) greater than that in the control (constant = 4.68); however, the difference was not statistically significant. Moreover, ELDS in the intervention was 1.09 (95% CI: 1.01, 1.18; P = 0.03) points greater than in the control (constant = 3.67). Conclusions: FRANI was feasible and may be effective to influence users toward healthy food choices. Research is needed for FRANI in different contexts and at scale.The trial was registered at the International Standard Randomized Controlled Trial Number as ISRCTN 10681553.

The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups.

A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to provide personalised lifestyle advice directly to the individual through devices such as smartphones or tablets. The overall aim of the PROTEIN project (Wilson-Barnes et al., 2021) was to develop a smartphone application that could provide tailored and dynamic nutrition and physical activity advice directly to the individual in real time. However, to create this mobile health (m-health) smartphone application, a knowledge base of reference ranges for macro-/micronutrient intake, anthropometry, biochemical, physiological and sleep parameters was required to underpin the parameters of the recommender systems. Therefore, the principal aim of this emerging research paper is to describe the process by which experts in nutrition and physiology from the PROTEIN consortium collaborated to develop the nutritional and physical activity requirements, based upon existing recommendations, for 10 separate population groups living within the EU including, but not limited to healthy adults, adults with type 2 diabetes mellitus, cardiovascular disease, excess weight, obesity and iron deficiency anaemia. A secondary aim is to describe the development of a library of 24-h meal plans appropriate for the same groups and also encompassing various dietary preferences and allergies. Overall, the consortium devised an extensive nutrition and physical activity knowledge base that is pertinent to 10 separate EU user groups, is available in 7 different languages and is practically implemented via a library of culturally appropriate, 24-h meal plans.

E-health Dietary Interventions for Participants of SNAP and WIC: A Systematic Review.

The migration of federal assistance services to online platforms during the COVID-19 pandemic sparked interest in digital nutrition education for individuals participating in the Supplemental Nutrition Assistance Program (SNAP) and Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) programs. With federal government investing in the modernization of the nutrition education components of both programs, there is a need to identify science-backed electronic health (e-health) dietary interventions to improve health outcomes in this population. Therefore, the objective of this systematic literature review was to summarize the effectiveness, acceptability, and feasibility of e-health dietary interventions among individuals participating in WIC or SNAP. Keyword searches were performed in Google Scholar, PubMed, and Science Direct. The search included peer-reviewed literature from 2014 to 2023 and a few articles offering context about interventions used long-term by the nutrition assistance programs. PRISMA guidelines were followed to conduct this systematic literature review, which resulted in 36 articles eligible for extraction. The studies evaluated e-health (52.8%), short message service/text messaging (27.8%), and smartphone application interventions (19.4%) delivered to WIC or SNAP participants. The interventions identified aimed to modify food choice, eating behavior, and dietary intake among SNAP participants, SNAP-eligible adults, and WIC participants. Most interventions were developed using content delivery and health behavior theoretical frameworks (77.8%) and evidence-based nutritional recommendations (59.3%). Review findings show a high level of acceptability and feasibility for e-health and mobile health dietary interventions among WIC and SNAP participants but varying levels of effectiveness. Level of engagement, dosage, retention, and adherence were strong predictors of positive dietary behavior change regardless of the mode of intervention delivery. Future studies need to prioritize health equity by recruiting samples representative of food nutrition assistance participants and addressing digital health literacy as a potential barrier to intervention effectiveness, as none of the present studies measured literacy among participants.