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Background: This pilot study aimed to provide supportive evidence for the feasibility of conducting a full-scale intervention trial with patients newly diagnosed with head and neck cancer (HNC). This included assessing the acceptability and potential usefulness of the PTSD Coach mobile app as an early self-management intervention that gives information about anxiety symptoms, offers self-assessment of symptoms with feedback, tools to self-manage anxiety, and connects to support. Methods: A three-arm randomized controlled trial was conducted. The primary pilot study questions related to feasibility were: (1) can we recruit enough (i.e., n = 60 over 8 months or 8/month) and retain a sufficient proportion (i.e., ≥ 85% at three months post-randomization, having completed the primary outcome) of patients with HNC in all trial arms? (2) Will there be at least a 90% completion rate of PTSD Coach within 3 weeks from randomization? (3) Will at least 85% of the content for each module of PTSD Coach be completed? (4) Will there be at least a 90% completion rate of the attention-control tasks (i.e., 45 min/week over 3 weeks)? (5) What would be the anticipated sample size for a full study? (6) We also explored a signal for intervention effects on 1-, 3-, and 6-month levels of cancer-related anxiety, quality of life, anxiety and depression, self-stigma of seeking help, and professional psycho-oncology service uptake. Results: Participants comprised 39 patients (11 experimental group (EG), 13 attention-control (AC), 15 usual care (UC)), primarily male (82%). Enrolment was lower than expected, with strategies implemented to increase the study's participation rate (i.e., shortening the questionnaire, more relevant AC games, pacing study components, and enlarging eligibility to 4 weeks post-diagnosis instead of 2). Retention rates, intervention completion rates, and completion time were adequate. The intervention was acceptable with all patients (100%) who received PTSD Coach reporting it a positive experience and that they would recommend it to others. When compared to UC, there was a signal for the PTSD Coach group to report lower 3-month cancer-related anxiety (PCL-S; eta squared = 0.013), lower anxiety and depression (HADS; eta squared = 0.015), anxiety (HADS-A; eta squared = 0.028), and higher functional wellbeing (FACT-FW; eta squared = 0.09), based on effect sizes calculated across all three groups. The sample size for a full study was estimated to be 118 to 154 per group. Conclusion: A repeat pilot study with an expanded oncology population is warranted to further investigate feasibility prior to a full Phase III study. PTSD Coach could be a valuable self-management tool as an initial stepped-care approach intervention in patients newly diagnosed with HNC. Trial registration: ClinicalTrials.gov, NCT03651570. Registered June 26, 2018. [ABSTRACT FROM AUTHOR]

Background: Reminders via digital technology offer a novel and efficient means to address medication forgetfulness, as they are easily accessible and user-friendly for patients. In particular mobile text message reminders are more suitable for chronic patients, as they require few technical skills, can operate without internet connectivity, and are less expensive than other technologies. This study aimed to assess the intention to use mobile text message reminders for medication adherence among hypertensive patients at the Gondar City health facilities. Methods: A facility-based cross-sectional study was conducted. A simple random sampling method was used to select 423 hypertensive patients. Data was collected from April 1 to May 15, 2023. Data was collected using Kobo Toolbox, and the collected data was exported to MS Excel. Subsequently, the data was imported and analyzed using the SPSS version 20. Binary and multivariable logistic regression analysis was employed to assess factors associated with the outcome variable. Result: The finding indicates that 64.5% of the patients have an Intention to use mobile text message reminders for medication adherence. Perceived usefulness (AOR = 2.53: 95%CI: 1.41, 4.52), perceived ease of use (AOR = 3.28: 95% CI: 1.81, 5.95), forgetting to take medication (AOR = 2.20: 95%CI: 1.38, 3.50) and patient holds their mobile phone always (AOR = 1.96: 95%CI: 1.04, 3.68) were associated factors with outcome variable. Conclusion: Forget taking medication, the patient holds their mobile phone always, Perceived ease of use and Perceived usefulness were significantly associated with the outcome variable. We recommend designing and implementing user-friendly text message reminder systems and educating hypertensive patients about the system's benefits. [ABSTRACT FROM AUTHOR]

Abstract Background Reminders via digital technology offer a novel and efficient means to address medication forgetfulness, as they are easily accessible and user-friendly for patients. In particular mobile text message reminders are more suitable for chronic patients, as they require few technical skills, can operate without internet connectivity, and are less expensive than other technologies. This study aimed to assess the intention to use mobile text message reminders for medication adherence among hypertensive patients at the Gondar City health facilities. Methods A facility-based cross-sectional study was conducted. A simple random sampling method was used to select 423 hypertensive patients. Data was collected from April 1 to May 15, 2023. Data was collected using Kobo Toolbox, and the collected data was exported to MS Excel. Subsequently, the data was imported and analyzed using the SPSS version 20. Binary and multivariable logistic regression analysis was employed to assess factors associated with the outcome variable. Result The finding indicates that 64.5% of the patients have an Intention to use mobile text message reminders for medication adherence. Perceived usefulness (AOR = 2.53: 95%CI: 1.41, 4.52), perceived ease of use (AOR = 3.28: 95% CI: 1.81, 5.95), forgetting to take medication (AOR = 2.20: 95%CI: 1.38, 3.50) and patient holds their mobile phone always (AOR = 1.96: 95%CI: 1.04, 3.68) were associated factors with outcome variable. Conclusion Forget taking medication, the patient holds their mobile phone always, Perceived ease of use and Perceived usefulness were significantly associated with the outcome variable. We recommend designing and implementing user-friendly text message reminder systems and educating hypertensive patients about the system’s benefits.

Abstract Aim This study aimed to assess the impact of Mobile health (M-health) on medication time adherence among people living with HIV/AIDS (PLWHA). Methods The study included all PLWHA who were receiving care at the Federal University Teaching Hospital Owerri (FUTH) and Imo State Specialist Hospital (ISSH) Umugumma during the study duration. The test group (FUTH) received a 2-way text message sent three times a week and a once-a-week phone call, while the control group (ISSH) received only the standard care. Findings The result shows that the adherence was higher among PLWHA in the test group compared to those in the control group (P = 0.000, χ2 = 168.62, 95% confidence interval (CI): 7.22 to 16.19). Conclusion M-health intervention significantly improved the medication time adherence among the participants in the test group compared to those in the control group.

Abstract 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.

Aim: This study aimed to assess the impact of Mobile health (M-health) on medication time adherence among people living with HIV/AIDS (PLWHA). Methods: The study included all PLWHA who were receiving care at the Federal University Teaching Hospital Owerri (FUTH) and Imo State Specialist Hospital (ISSH) Umugumma during the study duration. The test group (FUTH) received a 2-way text message sent three times a week and a once-a-week phone call, while the control group (ISSH) received only the standard care. Findings: The result shows that the adherence was higher among PLWHA in the test group compared to those in the control group (P = 0.000, χ2 = 168.62, 95% confidence interval (CI): 7.22 to 16.19). Conclusion: M-health intervention significantly improved the medication time adherence among the participants in the test group compared to those in the control group. [ABSTRACT FROM AUTHOR]

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Background: Pediatric obesity treatment is based on high-intensity lifestyle counseling. However, high dropout rates and low effectiveness have been reported, even in specialized centers. Mobile health technologies have been used to overcome these limits with contrasting results. This study aims at evaluating the effectiveness of a six-month intervention with a mobile app for the treatment of pediatric obesity at 6 and 12 months of follow-up. Methods: Seventy-five patients were randomly assigned to standard care or standard care plus mobile app (2:1) using an online randomizer system. The mobile app delivered high-intensity lifestyle counseling for diet and physical activity. Results: At six months of follow-up, the M-App group showed significantly lower dropout rates compared to standard care (p = 0.01). The risk of dropout was significantly higher in controls compared to the intervention group (OR 3.86, 95% C.I. 1.39–10.42, p = 0.01). After one year, we observed lower albeit non-statistically significant dropout rates in the M-App compared to the standard care group (p = 0.24). No differences were observed in z-score BMI and percentage of BMI reduction between the two groups. Conclusions: Our findings suggest that the mobile app might help in the clinical management of children and adolescents with obesity in terms of dropout reduction. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

IntroductionAnxiety and depression are major causes of disability in Arab countries, yet resources for mental health services are insufficient. Mobile devices may improve mental health care delivery (mental m-Health), but the Arab region's mental m-Health app landscape remains under-documented. This study aims to systematically assess the features, quality, and digital safety of mental m-Health apps available in the Arab marketplace. We also contrast a set of recommended Australian apps to benchmark current strategies and evidence-based practices and suggest areas for improvement in Arabic apps.MethodsFifteen Arab country-specific iOS Apple Stores and an Android Google Play Store were searched. Apps that met the inclusion criteria were downloaded and evaluated using the Mobile App Rating Scale (MARS) and the Mobile App Development and Assessment Guide (MAG).ResultsTwenty-two apps met the inclusion criteria. The majority of apps showed no evidence of mental health experts being involved in the app design processes. Most apps offered real-time communication with specialists through video, text, or audio calls rather than evidence-based self-help techniques. Standardized quality assessment showed low scores for design features related to engagement, information, safety, security, privacy, usability, transparency, and technical support. In comparison to apps available in Australia, Arabic apps did not include evidence-based interventions like CBT, self-help tools and crisis-specific resources, including a suicide support hotline and emergency numbers.DiscussionIn conclusion, dedicated frameworks and strategies are required to facilitate the effective development, validation, and uptake of Arabic mental mHealth apps. Involving end users and healthcare professionals in the design process may help improve app quality, dependability, and efficacy.

The impact of e-Health and m-health interventions on mental health, highlighting their potential to address psychological problems. E-health is defined as the use of information and communication technologies in support of health, while mobile health refers to the usage of mobile technologies for health purposes. Both offer benefits such as availability, accessibility, cost-effectiveness and content personalization. The effectiveness of mobile apps in improving quality of life, reducing symptoms of stress and depression, and promoting emotional well-being. The importance of integrating psychological theories into these applications is highlighted and the need for more research, especially in populations such as older adults and health workers. Accessibility and reach of psychological services through m-health are crucial, but challenges are observed in adoption and usability, especially in environments such as that of university students. The need to carefully consider the socio-cultural experiences and preferences of users when developing m-health applications is highlighted. There are three examples of interventions in Mexico, highlighting the implementation of preventive strategies for adolescents, augmented reality in psychology teaching, and a smoking cessation programme for adults. Although successful, it is recognized that there is little scientific evidence related to mobile applications in the Mexican population. It highlights the potential of mobile technology in mental health, but also points to challenges and the need for ongoing research to ensure the ethical and effective development of applications in this field.

Abstract 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.

Abstract 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.

Abstract Introduction Neuromuscular diseases (NMDs) entail a group of mostly inherited genetic disorders with heterogeneous phenotypes impacting muscles, the central or peripheral nervous system. They can lead to severe disabilities and shortened lifespans. Despite their severity, NMDs often lack in public awareness and appropriate medical and social support. Telemedicine can improve patients’ and caregivers’ lives by enhancing continuity of and access to care. The first aim of this systematic review was to summarise the status quo of telemedicine services for patients with NMDs. Secondly, barriers and facilitators of the respective implementation processes should be analysed. Methods The databases PubMed, Web of Science and CENTRAL by Cochrane were searched in May 2022. To be truly explorative, any original evidence from any setting was included. Two independent researchers completed the screening process. Data was extracted and analysed using the taxonomy of Bashshur et al. (2011) and the Consolidated Framework for Implementation Research (CFIR). Results Fifty-seven original papers were included in the systematic review. The results showed a high representation of teleconsultations and remote monitoring studies. Teleconsultations replaced in person appointments and telemonitoring mostly focused on ventilation. Physical therapy, pulmonology, neurology, and psychology were the most represented medical specialties. We found barriers and facilitators relating to implementation mainly referred to the intervention and the individuals involved. Technical errors and inaccessibility due to a lack of technical devices or the patient’s disability were stated as hindrances. A positive mindset of users as well as patient empowerment were necessary for the adoption of new technology. Technophobia or uncertainty around technology negatively impacted the implementation process. Discussion This systematic review provides an overview of the current use of telemedicine in patients with NMDs. The distribution of telemedicine interventions between the defined domains was very heterogenous. Previous research has neglected to fully describe the implementation process of telemedicine for NMDs. Conclusion The evidence shows that telemedicine can benefit patients with NMDs in a multitude of ways. Therefore, health policies should endorse and incentivise the uptake of telemedicine by institutions and health care workers. Further research needs to be conducted to confirm the current evidence and close existing research gaps.

The paper analyzes the approach to one very important phenomenon in the modern environment, which is defined as digital transformation in the healthcare system. The increasing influx of digital technologies into business processes leads to the point where the provision of healthcare services can no longer be viewed only in traditional frameworks, but it is necessary to look at the unlimited options of digital technologies, digital content and digital communications in the provision of healthcare services. The needs of the healthcare system and certain changes resulting from the development of communication and information technologies such as the Internet, social networks, mobile applications, etc. require organized work on the implementation of a strategy for new ways of doing business in healthcare. Health information and early screening awareness of oncological diseases increase the motivation for active participation of people in the implementation of preventive measures, treatments and rehabilitation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Introduction: Neuromuscular diseases (NMDs) entail a group of mostly inherited genetic disorders with heterogeneous phenotypes impacting muscles, the central or peripheral nervous system. They can lead to severe disabilities and shortened lifespans. Despite their severity, NMDs often lack in public awareness and appropriate medical and social support. Telemedicine can improve patients' and caregivers' lives by enhancing continuity of and access to care. The first aim of this systematic review was to summarise the status quo of telemedicine services for patients with NMDs. Secondly, barriers and facilitators of the respective implementation processes should be analysed. Methods: The databases PubMed, Web of Science and CENTRAL by Cochrane were searched in May 2022. To be truly explorative, any original evidence from any setting was included. Two independent researchers completed the screening process. Data was extracted and analysed using the taxonomy of Bashshur et al. (2011) and the Consolidated Framework for Implementation Research (CFIR). Results: Fifty-seven original papers were included in the systematic review. The results showed a high representation of teleconsultations and remote monitoring studies. Teleconsultations replaced in person appointments and telemonitoring mostly focused on ventilation. Physical therapy, pulmonology, neurology, and psychology were the most represented medical specialties. We found barriers and facilitators relating to implementation mainly referred to the intervention and the individuals involved. Technical errors and inaccessibility due to a lack of technical devices or the patient's disability were stated as hindrances. A positive mindset of users as well as patient empowerment were necessary for the adoption of new technology. Technophobia or uncertainty around technology negatively impacted the implementation process. Discussion: This systematic review provides an overview of the current use of telemedicine in patients with NMDs. The distribution of telemedicine interventions between the defined domains was very heterogenous. Previous research has neglected to fully describe the implementation process of telemedicine for NMDs. Conclusion: The evidence shows that telemedicine can benefit patients with NMDs in a multitude of ways. Therefore, health policies should endorse and incentivise the uptake of telemedicine by institutions and health care workers. Further research needs to be conducted to confirm the current evidence and close existing research gaps. [ABSTRACT FROM AUTHOR]

Summary: 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).

Abstract Background The increasing prevalence of childhood obesity has become an urgent public health problem, evidence showed that intervention for childhood obesity bring enormous health benefits. However, an effective individualized intervention strategy remains to be developed, and the accompanying remission of related complications, such as nonalcoholic fatty liver disease (NAFLD), needs to be assessed. This study aimed to develop an m-Health-assisted lifestyle intervention program targeting overweight/obese children and assess its effectiveness on indicators of adiposity and NAFLD. Methods This is a cluster-randomized controlled trial that conducted in children with overweight/obesity in Ningbo city, Zhejiang Province, China. Students in Grade 3 (8–10 years old) were recruited from six primary schools, with three be randomized to intervention group and three to usual practice group. The intervention program will last for one academic year and consists of health education, dietary guidance, and physical activity reinforcement. This program is characterized by encouraging four stakeholders, including School, Clinic, famIly, and studENT (SCIENT), to participate in controlling childhood obesity, assisted by m-Health technology. Assessments will be conducted at baseline and 3 months, 9 months, 24 months, and 36 months after baseline. The primary outcome will be the differences between the two groups in students’ body mass index and fatty liver index at the end of the intervention (9 months after baseline). During the implementation process, quality control methods will be adopted. Discussion The program will test the effectiveness of the m-Health-assisted lifestyle intervention on children with obesity and NAFLD. The results of this study will provide evidence for establishing effective lifestyle intervention strategy aimed at childhood obesity and NAFLD and may help develop guidelines for the treatment of obesity and NAFLD in Chinese children. Trial registration Clinicaltrials.gov NCT05482191. Registered on July 2022.

This paper presents the design, implementation and validation of a novel fitness mobile application called CalAid, aimed at promoting an active lifestyle, in the context of ever growing sedentarism in population of all ages. The application uses sensors present in most modern smartphones such as motion sensors, the 3-axial accelerometer, the gyroscope and the step counter in order to track energy expenditure and to obtain a more precise approximation of consumed calories. By using machine learning we can recognize the activities performed by the application client and, using metabolic equivalents, find the energy expenditure. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Gestational diabetes (GDM) is associated with a long-term risk of diabetes. We aimed to determine whether a text-messaging-based lifestyle support program would improve diabetes risk factors following GDM. Women with GDM were randomised following delivery to receive four text messages per week supporting a healthy lifestyle and parenting for 6 months, with feedback from an activity monitor (intervention), or to receive the activity monitor only (control). The primary outcome was a composite of weight, physical activity and dietary goals. There were 177 women randomised, with 88 intervention and 89 control participants. All the participants experienced COVID-19 lockdowns during the study. Six-month primary outcome data were obtained for 57 intervention participants and 56 controls. There were 7/57 (12%) intervention and 6/56 (11%) control participants who met the primary outcome (relative risk, 1.08; 95%CI, 0.63–1.85; p = 0.79). Two intervention participants met the dietary goals compared to none of the control participants (p = NS). The intervention participants were more likely to record >1000 steps/day (on 102 ± 59 vs. 81 ± 59 days, p = 0.03). When analysed monthly, this was not initially different but became significant 3–6 months post-partum. Interviews and surveys indicated that with the Intervention, healthier choices were made, but these were negatively impacted by COVID-19 restrictions. Participants found the messages motivational (74%) and the activity monitor useful (71%). In conclusion, no improvement in the diabetes risk factors occurred among the women receiving the text messaging intervention when affected by COVID-19 restrictions. [ABSTRACT FROM AUTHOR]

Background: The widespread adoption of mobile devices by adolescents underscores the potential to harness these tools to instill healthy habits into their daily lives. An exemplary manifestation of this initiative is the Healthy Jeart app, crafted with the explicit goal of fostering well-being. Methodology: This study, framed within an applied investigation, adopts an exploratory and descriptive approach, specifically delving into the realm of user experience analysis. The focus of this research is a preliminary examination aimed at understanding users' perceived usability of the application. To glean insights, a comprehensive questionnaire was administered to 101 teenagers, seeking their evaluations on various usability attributes. The study took place during 2022. Results: The findings reveal a considerable consensus among users regarding the evaluated usability aspects. However, the areas for improvement predominantly revolve around managing the information density, particularly for a subset of end users grappling with overwhelming content. Additionally, recommendations are put forth to streamline the confirmation process for user suggestions and comments. Conclusion: This analysis illuminates both the strengths of the app and areas ripe for refinement, paving the way for a more user-centric and efficacious Healthy Jeart application. [ABSTRACT FROM AUTHOR]

Background. Considering the widespread influence of mobile phones in life and its various features, it is necessary to use value-added services of mobile phones in the field of treatment and health. This study aimed to identify and categorize the factors affecting the use of mobile value-added services in the field of health. Methods. This qualitative research was conducted using thematic analysis. A total of 74 articles were extracted from scientific databases. Next, 51 related articles were fully reviewed using thematic analysis method. After that, basic, organizing, and inclusive themes were extracted, and the model was implemented. Validity of the research was confirmed by experts according to the degree of connection between the components and the mobile value-added services model in the field of health. The reliability coefficient was 97%, which indicated a high reliability. Results. Based on the review and analysis of the articles, the final model consisted of 64 basic themes, 16 organizing themes (understanding benefits, understanding well-being, user values, customer outcomes, community outcomes, organizational outcomes, technology infrastructure, reducing fear of technology, learning and development, occupational factors, support and incentives, technical reliability, human reliability, risk reduction, attitude, and expectation), and six global themes (user understanding, effects and consequences, technology development, environmental influencing conditions, reliability, and mindset and expectations). Conclusion. According to the factors identified in this research, policy makers and health managers can have the right planning for the use of mobile value-added services in the field of health.

Background: Pediatric obesity treatment is based on high-intensity lifestyle counseling. However, high dropout rates and low effectiveness have been reported, even in specialized centers. Mobile health technologies have been used to overcome these limits with contrasting results. This study aims at evaluating the effectiveness of a six-month intervention with a mobile app for the treatment of pediatric obesity at 6 and 12 months of follow-up. Methods: Seventy-five patients were randomly assigned to standard care or standard care plus mobile app (2:1) using an online randomizer system. The mobile app delivered high-intensity lifestyle counseling for diet and physical activity. Results: At six months of follow-up, the M-App group showed significantly lower dropout rates compared to standard care (p = 0.01). The risk of dropout was significantly higher in controls compared to the intervention group (OR 3.86, 95% C.I. 1.39–10.42, p = 0.01). After one year, we observed lower albeit non-statistically significant dropout rates in the M-App compared to the standard care group (p = 0.24). No differences were observed in z-score BMI and percentage of BMI reduction between the two groups. Conclusions: Our findings suggest that the mobile app might help in the clinical management of children and adolescents with obesity in terms of dropout reduction.

Abstract Background Current health care demonstrates an insufficient provision and utilization of physical exercises despite their recommendation as a first-line treatment in clinical guidelines for patients with knee osteoarthritis (OA). Mobile health (m-health) technologies offer new opportunities to guide and monitor home-based exercise programs by using mobile devices and inertial sensors in combination with a digital application (app). This study will evaluate patient benefits resulting from the use of the specific digital health application re.flex for patients with knee OA. Methods This monocentric, two-arm, randomized controlled parallel-group trial will evaluate the effectiveness of the app- and sensor-guided exercise program re.flex for patients with moderate-to-severe knee OA. We aim to recruit 200 participants via newspapers, newsletters and information events. Participants will be randomly allocated to the intervention group and the control group in a 1:1 ratio. Participants in the control group will not receive any study intervention or instruction for any change to their previous health care utilization. Despite this, they are allowed to make use of usual care provided by their treating physician. The intervention group comprises a 12-week home training program with three sessions per week in addition to usual care. Exercises will be guided and monitored by use of the training app (re.flex) and two accelerometers that are attached proximally and distally to the affected knee joint. Pre- and postmeasurements will take place at baseline (t0) and after 12 weeks (t1). Primary outcomes will be osteoarthritis-specific pain and physical function measured with the Knee Osteoarthritis Outcome Score (KOOS) subscales Pain and Function in daily living (ADL). Second, further self-reported health outcomes, a performance measurement, app logfiles and safety will be assessed. Intervention effects will be calculated by baseline-adjusted analysis of covariance (ANCOVA) using an intention-to-treat approach. Multiple imputation will be applied. Discussion Re.flex can bridge part of the gap between recommendations for strengthening exercises in patients with knee OA and the insufficient actual care situation. This randomized controlled trial is designed to provide conclusions on the effectiveness of the health application re.flex for the population under study and will provide further insight into adherence rates and the safety of its use. Trial registration The trial was registered on 20/01/2023 at www.drks.de (ID: DRKS00030932).

Abstract Background Accurate and timely decision-making in lung transplantation (LTx) programs is critical. The main objective of this study was to develop a mobile-based evidence-based clinical decision support system (CDSS) to enhance the management of lung transplant candidates. Method An iterative participatory software development process was employed to develop the ImamLTx CDSS. This study was accomplished in three phases. First, required data and standard clinical workflow were identified according to the literature review and expert consensus. Second, a rule-based knowledge-based CDSS application was developed. In the third phase, this CDSS was evaluated. The evaluation was done using the standard Post-Study System Usability Questionnaire (PSSUQ 18.3) and ten usability heuristics factors for user interface design. Results According to expert consensus, fifty-five data items were identified as essential data sets using the Content Validity Ratio (CVR) formula. By integrating information flow in clinical practices with clinical protocols, more than 450 rules and 500 knowledge statements were extracted. This CDSS provides clinical decision support on an Android platform regarding inclusion and exclusion referral criteria, optimum transplant time based on the type of lung disease, findings of initial assessment, and the overall evaluation of lung transplant candidates. Evaluation results showed high usability ratings due to the fact provided accuracy and sensitivity of this lung transplant CDSS with the information quality domain receiving the highest score (6.305 from 7). Conclusion Through a stepwise approach, the ImamLTx CDSS was developed to provide LTx programs with timely patient data access via a mobile platform. Our results suggest integration with existing workflow to support clinical decision-making and provide patient-specific recommendations.

The aim of this article was to analyze the literature on technological development in telemedicine through bibliometrics, by identifying the state of the art, research gaps, and trends in the literature. The analysis covers a total of 67 articles related to the field of study, published between 2010-2020 in the Springer Link, Science Direct, Wiley Online Library, Web of Science, and Scopus databases. The data was processed using the software StArt, Excel, IBM SPSS Statistics, and Iramuteq. The results presented bibliometric analysis of the articles, classified into the areas of Management (52.2%), IT (25.4%), and Medicine (22.4%), along with a Table of 34 suggestions for future research. Literature trends encompassed six study clusters (health, study, service, technology, patient, and telemedicine), which further subdivided into nine research themes (digital platform, telemedicine service management, telemedicine service operation, end-user perception, business opportunities, healthcare professional perception, covid-19, regulation, and robotics). An observed outcome was a significant increase in the number of publications in the area due to covid-19.

Electronic health, or e-Health, can revolutionize the clinical management of tuberculosis (TB) through enhanced treatment efficiency and effectiveness, among other benefits. Regarding TB, this may entail teleconsultation, which allows medical professionals to speak with TB specialists remotely, or telemonitoring, which allows patients to be remotely monitored using digital technology. This paper aims to determine the effectiveness of tele-counselling in enhancing adherence to patient tuberculosis. We used the Scopus database, Science Direct, Ebsco Host, and PubMed for English published between 2018 and 2023: the Joanna Briggs Institute guidelines assessed eligibility, PRISMA quality, and a checklist to guide this review. The articles have case-control, quasi-experimental, mixed method studies, and randomized control trials (RCT). E-counseling was included in the analysis if they focused on tuberculosis and were excluded if unrelated to other disease areas. Fifteen articles that could be used in this review were found. The majority of the population were adults. Results of the review showed that most m-Health apps support tuberculosis treatment. There are numerous ways that electronic counseling, or “e-counseling,” may improve adherence to TB treatment. This study illustrated how m-health might improve patient comprehension and adherence. The five goals of the World Health Organization (WHO) e-Health framework are being met using more e-Health treatments to treat TB. Among the technology interventions demonstrated to have a significant, positive effect on disease outcomes are smartphone apps, mobile voice conversations, SMS, and instructive films. Keywords: E-counselling; m-Health; tuberculosis; patient adherence

Healthcare is the foremost concern for any country. UN has also fixed 'good health' and well‐being' as its third sustainable development goal. CoVID‐19 era has shown the vulnerability of health infrastructure worldwide. As per WHO, aging population of the world would put enormous pressure on health infrastructure in coming decades. With lack of healthcare professionals and limited budget to achieve UNSDG goal‐3, IoMT with its huge umbrella of medical services and applications can address these issues. 5G has been deployed in many countries and vision for 6G have been finalized by different research groups. 6G will help Internet of Medical Things to realize its full potential. In this work, an open '6G enabled IoMT' architecture has been presented. It can integrate a wide number of services. The limitations of 5G in catering to such a network are also highlighted. The challenges and open issues are presented in the light of services and applications that can be provided by the purposed architecture. A brief overview of 6G is also provided. [ABSTRACT FROM AUTHOR]

Childhood obesity is a complex disease with multiple biological and psychosocial risk factors. Recently, novel digital programs were developed with growing evidence for their effectiveness in pediatric weight management studies. The ENDORSE platform consists of mobile applications, wearables, and serious games for the remote management of childhood obesity. The pilot studies included 50 mothers and their children aged 6–14 years and resulted in a clinically significant BMI z-score reduction over 4 to 5 months. This secondary analysis of the ENDORSE study focuses on parenting styles and psychosocial factors. Methodology: Semi-structured clinical interviews were conducted with all participating mothers pre-and post-intervention. The Parenting Styles and Dimensions Questionnaire (PSDQ) evaluated the mothers' parenting styles. The psychosocial functioning of the participating children was assessed with the parental version of the Strengths and Difficulties Questionnaire (SDQ). The relationship between parenting styles, psychosocial parameters, and weight outcomes was investigated using a linear regression analysis. Results: Weight-related stigma at school (56%), body image concerns (66%), and difficulties in family relationships (48%) were the main concerns documented during the initial psychological interviews. According to the SDQ, there was a significant decrease in children's conduct problems during the study's initial phase (pre-pilot group). A decrease in maternal demandingness (i.e., strict parenting style) was associated with a decrease in BMI z-score (beta coefficient = 0.314, p-value = 0.003). Conclusion: Decreasing parental demandingness was associated with better weight outcomes, highlighting the importance of assessing parenting factors in pediatric weight management programs. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals. [ABSTRACT FROM AUTHOR]

Background. Considering the widespread influence of mobile phones in life and its various features, it is necessary to use value-added services of mobile phones in the field of treatment and health. This study aimed to identify and categorize the factors affecting the use of mobile value-added services in the field of health. Methods. This qualitative research was conducted using thematic analysis. A total of 74 articles were extracted from scientific databases. Next, 51 related articles were fully reviewed using thematic analysis method. After that, basic, organizing, and inclusive themes were extracted, and the model was implemented. Validity of the research was confirmed by experts according to the degree of connection between the components and the mobile value-added services model in the field of health. The reliability coefficient was 97%, which indicated a high reliability. Results. Based on the review and analysis of the articles, the final model consisted of 64 basic themes, 16 organizing themes (understanding benefits, understanding well-being, user values, customer outcomes, community outcomes, organizational outcomes, technology infrastructure, reducing fear of technology, learning and development, occupational factors, support and incentives, technical reliability, human reliability, risk reduction, attitude, and expectation), and six global themes (user understanding, effects and consequences, technology development, environmental influencing conditions, reliability, and mindset and expectations). Conclusion. According to the factors identified in this research, policy makers and health managers can have the right planning for the use of mobile value-added services in the field of health. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: There is a lack of e-health systems that integrate the complex variety of aspects relevant for diabetes self-management. We developed and field-tested an e-health system (POWER2DM) that integrates medical, psychological and behavioural aspects and connected wearables to support patients and healthcare professionals in shared decision making and diabetes self-management. Methods: Participants with type 1 or type 2 diabetes (aged >18 years) from hospital outpatient diabetes clinics in the Netherlands and Spain were randomised using randomisation software to POWER2DM or usual care for 37 weeks. This RCT assessed the change in HbA1c between the POWER2DM and usual care groups at the end of the study (37 weeks) as a primary outcome measure. Participants and clinicians were not blinded to the intervention. Changes in quality of life (QoL) (WHO-5 Well-Being Index [WHO-5]), diabetes self-management (Diabetes Self-Management Questionnaire – Revised [DSMQ-R]), glycaemic profiles from continuous glucose monitoring devices, awareness of hypoglycaemia (Clarke hypoglycaemia unawareness instrument), incidence of hypoglycaemic episodes and technology acceptance were secondary outcome measures. Additionally, sub-analyses were performed for participants with type 1 and type 2 diabetes separately. Results: A total of 226 participants participated in the trial (108 with type 1 diabetes; 118 with type 2 diabetes). In the POWER2DM group (n=111), HbA1c decreased from 60.6±14.7 mmol/mol (7.7±1.3%) to 56.7±12.1 mmol/mol (7.3±1.1%) (means ± SD, p<0.001), compared with no change in the usual care group (n=115) (baseline: 61.7±13.7 mmol/mol, 7.8±1.3%; end of study: 61.0±12.4 mmol/mol, 7.7±1.1%; p=0.19) (between-group difference 0.24%, p=0.008). In the sub-analyses in the POWER2DM group, HbA1c in participants with type 2 diabetes decreased from 62.3±17.3 mmol/mol (7.9±1.6%) to 54.3±11.1 mmol/mol (7.1±1.0%) (p<0.001) compared with no change in HbA1c in participants with type 1 diabetes (baseline: 58.8±11.2 mmol/mol [7.5±1.0%]; end of study: 59.2±12.7 mmol/mol [7.6±1.2%]; p=0.84). There was an increase in the time during which interstitial glucose levels were between 3.0 and 3.9 mmol/l in the POWER2DM group, but no increase in clinically relevant hypoglycaemia (interstitial glucose level below 3.0 mmol/l). QoL improved in participants with type 1 diabetes in the POWER2DM group compared with the usual care group (baseline: 15.7±3.8; end of study: 16.3±3.5; p=0.047 for between-group difference). Diabetes self-management improved in both participants with type 1 diabetes (from 7.3±1.2 to 7.7±1.2; p=0.002) and those with type 2 diabetes (from 6.5±1.3 to 6.7±1.3; p=0.003) within the POWER2DM group. The POWER2DM integrated e-health support was well accepted in daily life and no important adverse (or unexpected) effects or side effects were observed. Conclusions/interpretation: POWER2DM improves HbA1c levels compared with usual care in those with type 2 diabetes, improves QoL in those with type 1 diabetes, improves diabetes self-management in those with type 1 and type 2 diabetes, and is well accepted in daily life. Trial registration: ClinicalTrials.gov NCT03588104. Funding: This study was funded by the European Union's Horizon 2020 Research and Innovation Programme (grant agreement number 689444). [ABSTRACT FROM AUTHOR]

Daily steps could be a valuable indicator of real-world ambulation in Parkinson's disease (PD). Nonetheless, no study to date has investigated the minimum number of days required to reliably estimate the average daily steps through commercial smartwatches in people with PD. Fifty-six patients were monitored through a commercial smartwatch for 5 consecutive days. The total daily steps for each day was recorded and the average daily steps was calculated as well as the working and weekend days average steps. The intraclass correlation coefficient (ICC) (3,k), standard error of measurement (SEM), Bland–Altman statistics, and minimum detectable change (MDC) were used to evaluate the reliability of the step count for every combination of 2–5 days. The threshold for acceptability was set at an ICC ≥ 0.8 with a lower bound of CI 95% ≥ 0.75 and a SAM < 10%. ANOVA and Mann–Whitney tests were used to compare steps across the days and between the working and weekend days, respectively. Four days were needed to achieve an acceptable reliability (ICC range: 0.84–0.90; SAM range: 7.8–9.4%). In addition, daily steps did not significantly differ across the days and between the working and weekend days. These findings could support the use of step count as a walking activity index and could be relevant to developing monitoring, preventive, and rehabilitation strategies for people with PD. [ABSTRACT FROM AUTHOR]

Low user engagement in m-Health applications has been driving the use of retention techniques that aim to ensure a satisfactory long-term user experience. The aim was to understand the experience of hypertensive patients interacting with a mobile health application for 12 months. A qualitative/exploratory study was conducted after 12 months, with the same experimental group of participants as the non-randomized controlled clinical trial conducted in 2019. The mean age of the 16 participants was 57 years (SD=8), of which11 were female. All had low socioeconomic and educational levels. Content analysis showed no engagement with the m-health app over time. The main factors contributing to the lack of engagement were; inability of the user to use the app, lack of support and technical problems. When designing m-Health interventions, it is important to understand users' behavioral characteristics, motivations for treatment, level of involvement in health care, and ability to use technology.

The goal of this study was to develop a mobile app that would be used as a self-help and stress-reduction tool for university students. The StressonCampus app adopted a hybrid questionnaire based on the DASS-21 and Kessler PT models, which identifies the level of stress and, likewise, provides suggestions for relaxation exercises. The improved version of the app includes a chatbot or conversation agent that allows a dialogue with the student to detect the student's stress situation and present a relaxation recommendation based on it.

Resumen: Objetivo: Aportar la mejor evidencia científica disponible sobre la efectividad de los programas de educación terapéutica mediante salud digital en pacientes con insuficiencia cardiaca. Diseño: Revisión sistemática de ensayos clínicos aleatorizados. Bases de datos: Se incluyeron 6 bases de datos por su relevancia en Ciencias de la Salud: PubMed, EMBASE, Scielo, Cochraine, CINAHL y Web of Science. Selección de los estudios: Se seleccionaron estudios realizados entre el año 2018 y 2023, en idioma inglés y español, tras evaluar la calidad metodológica de los estudios; se utilizó la herramienta Jadad para discriminar aquellos que no cumplían con dicha calidad. En total se incluyeron 8 artículos de 6 países diferentes. Extracción de datos: La revisión y análisis de los documentos se realizó por pares de manera independiente. Para evaluar el riesgo de sesgo se utilizó la herramienta Cochrane para ensayos clínicos aleatorizados RoB 2. Resultados: Todas las aplicaciones contaban con educación terapéutica; también se valoró que contasen con monitorización, evaluación de signos y síntomas, titulación de fármacos y seguimiento de profesionales a través de la aplicación. Conclusión: Esta revisión revela el impacto significativo de la educación terapéutica en el aumento de conocimiento del paciente, la reducción de reingresos hospitalarios y la mejora del estado funcional y el autocuidado. Esto convierte a la salud digital en una herramienta válida para complementar la atención enfermera en pacientes con insuficiencia cardiaca. Abstract: Objective: To provide the best scientific evidence available on the effectiveness of therapeutic education programs through digital health in patients with heart failure. Design: Systematic review of randomized clinical trials. Data sources: Six databases were included due to their relevance in Health Sciences: PubMed, EMBASE, Scielo, Cochrane, CINAHL, and Web of Science. Selection of studies: In English and Spanish, studies carried out between 2018 and 2023 were selected. After evaluating the methodological quality of the studies, the Jadad tool was used to discriminate those that did not meet said quality. In total, 8 articles from 6 different countries were included. Data extraction: The review and analysis of the documents were carried out by independent pairs. The Cochrane tool for RoB 2 randomized clinical trials was used to assess the risk of bias. Results: All the applications had therapeutic education, it was also assessed that they had monitoring, evaluation of signs and symptoms, drug titration, and professional follow-up through the application. Conclusion: This review reveals the significant impact of therapeutic education in increasing patient knowledge, reducing hospital readmissions, and improving functional status and self-care. This makes digital health a valuable tool to complement nursing care in patients with heart failure.

Digital health coaching is an intervention for type 2 diabetes mellitus (T2DM) that has potential to improve the quality of care for patients. Previous research has established the efficacy of digital interventions for behavior change. This pilot study addresses a research gap in finding effective and accessible behavioral interventions for under-resourced individuals with T2DM. We examined the impact of Healthy at Home, a 12-week phone and SMS-based (short message service) digital health coaching program, on insulin resistance which is an upstream marker for T2DM progression. We compared this intervention to usual diabetic care in a family medicine residency clinic in a randomized controlled trial. Digital health coaching significantly improved participants calculated Homeostatic Model Assessment for Insulin Resistance (HOMA2-IR) by -0.9 ± 0.4 compared with the control group (p = 0.029). This significance remained after controlling for years diagnosed with T2DM, enrollment in Medicaid, access to food, baseline stage of change, and race (p = 0.027). Increasing access to digital health coaching may lead to more effective control of diabetes for under-resourced patients. This study demonstrates the potential to implement a personalized, scalable, and effective digital health intervention to treat and manage T2DM through a lifestyle and behavioral approach to improve clinical outcomes (http://clinicaltrials.gov, NCT04872647).

Evidence suggests that low carbohydrate dietary (LCD) approaches can improve glycaemic control and may result in type 2 diabetes mellitus (T2DM) remission. This systematic literature review (SLR) aimed to assess the effectiveness of technology-enabled LCD interventions in the management of people with prediabetes or T2DM. Data sources included Medline, Embase, CINAHL, and Web of Science. Randomised (RCTs) or non-randomised (non-RCTs) controlled trials investigating the effect of technology-enabled LCDs (<130 g/day) or very low carbohydrate diets (VLCDs < 50 g/day) on glycosylated haemoglobin A1c (HbA1c) for at least three months and published in English between 2009 and 2023 were included. Risk of bias assessment, data extraction, and synthesis were conducted using standard tools and procedures. Six studies (two RCTs and four non-RCTs, total sample, n = 1519) were identified and included in the SLR. Two studies examining LCDs reported significant reductions in mean HbA1c (0.4% and −1.2%) and weight loss (−3.8 kg and −7.5 kg) at one year. Three studies examining VLCDs reported significant reductions in mean HbA1c (−0.8% to −1.3%) and weight loss (−12 kg to −14 kg) up to two years. Technology-enabled LCD or VLCD interventions can be a novel approach in helping people with prediabetes or T2DM self-manage their condition and possibly achieve remission. However, further research is required to determine the sustainability, effectiveness, and safety of this approach. [ABSTRACT FROM AUTHOR]

Background: Current health care demonstrates an insufficient provision and utilization of physical exercises despite their recommendation as a first-line treatment in clinical guidelines for patients with knee osteoarthritis (OA). Mobile health (m-health) technologies offer new opportunities to guide and monitor home-based exercise programs by using mobile devices and inertial sensors in combination with a digital application (app). This study will evaluate patient benefits resulting from the use of the specific digital health application re.flex for patients with knee OA. Methods: This monocentric, two-arm, randomized controlled parallel-group trial will evaluate the effectiveness of the app- and sensor-guided exercise program re.flex for patients with moderate-to-severe knee OA. We aim to recruit 200 participants via newspapers, newsletters and information events. Participants will be randomly allocated to the intervention group and the control group in a 1:1 ratio. Participants in the control group will not receive any study intervention or instruction for any change to their previous health care utilization. Despite this, they are allowed to make use of usual care provided by their treating physician. The intervention group comprises a 12-week home training program with three sessions per week in addition to usual care. Exercises will be guided and monitored by use of the training app (re.flex) and two accelerometers that are attached proximally and distally to the affected knee joint. Pre- and postmeasurements will take place at baseline (t0) and after 12 weeks (t1). Primary outcomes will be osteoarthritis-specific pain and physical function measured with the Knee Osteoarthritis Outcome Score (KOOS) subscales Pain and Function in daily living (ADL). Second, further self-reported health outcomes, a performance measurement, app logfiles and safety will be assessed. Intervention effects will be calculated by baseline-adjusted analysis of covariance (ANCOVA) using an intention-to-treat approach. Multiple imputation will be applied. Discussion: Re.flex can bridge part of the gap between recommendations for strengthening exercises in patients with knee OA and the insufficient actual care situation. This randomized controlled trial is designed to provide conclusions on the effectiveness of the health application re.flex for the population under study and will provide further insight into adherence rates and the safety of its use. Trial registration: The trial was registered on 20/01/2023 at www.drks.de (ID: DRKS00030932). [ABSTRACT FROM AUTHOR]

As a unique form of mobile health service (m-Health) for elderly care in China, the virtual nursing home is considered a reliable alternative to the traditional model of home-based care, but services from virtual nursing homes are infrequently used by the elderly in practice. Thus, this study aims to measure the driving factors affecting the behavioral intention to use the virtual nursing home by designing a research framework that combined the unified theory of acceptance and use of technology (UTAUT) with the technology acceptance model (TAM). Furthermore, a new variable, conformist mentality, is proposed as a moderator. In order to validate the model, a well-structured questionnaire using mature scales was used, and the linear regression analysis method was conducted on 200 valid data samples collected during a field study in Harbin, China. The results show that performance expectancy, effort expectancy, and social influence significantly affect behavioral intention. However, the effect of facilitating conditions is not significant. Moreover, performance expectancy and effort expectancy have a positive effect on attitude toward use, and attitude toward use not only affects behavioral intention but also plays a mediating role in the effect of performance expectancy and effort expectancy on behavioral intention. This study also innovatively proposes and confirms conformist mentality as a moderator to strengthen the driving effect of social influence on behavioral intention. This is the first time that conformist mentality is introduced as a moderator in a study on the behavioral perception and acceptance of virtual nursing homes among Chinese older adults. Based on these findings, this study offers theoretical contributions and management implications that are conducive to the sustainable development of virtual nursing homes, thereby making extensive contributions to this field. Additionally, it also aids in the contextual expansion of the UTAUT model. [ABSTRACT FROM AUTHOR]

Background: Accurate and timely decision-making in lung transplantation (LTx) programs is critical. The main objective of this study was to develop a mobile-based evidence-based clinical decision support system (CDSS) to enhance the management of lung transplant candidates. Method: An iterative participatory software development process was employed to develop the ImamLTx CDSS. This study was accomplished in three phases. First, required data and standard clinical workflow were identified according to the literature review and expert consensus. Second, a rule-based knowledge-based CDSS application was developed. In the third phase, this CDSS was evaluated. The evaluation was done using the standard Post-Study System Usability Questionnaire (PSSUQ 18.3) and ten usability heuristics factors for user interface design. Results: According to expert consensus, fifty-five data items were identified as essential data sets using the Content Validity Ratio (CVR) formula. By integrating information flow in clinical practices with clinical protocols, more than 450 rules and 500 knowledge statements were extracted. This CDSS provides clinical decision support on an Android platform regarding inclusion and exclusion referral criteria, optimum transplant time based on the type of lung disease, findings of initial assessment, and the overall evaluation of lung transplant candidates. Evaluation results showed high usability ratings due to the fact provided accuracy and sensitivity of this lung transplant CDSS with the information quality domain receiving the highest score (6.305 from 7). Conclusion: Through a stepwise approach, the ImamLTx CDSS was developed to provide LTx programs with timely patient data access via a mobile platform. Our results suggest integration with existing workflow to support clinical decision-making and provide patient-specific recommendations. [ABSTRACT FROM AUTHOR]

ObjectivesIndividuals with serious mental illnesses such as bipolar disorder (BD) are at an increased risk for poor medication adherence compared to the general population. Individuals with BD also have high rates of chronic comorbid medical conditions like hypertension (HTN), diabetes, and cardiovascular disease. Cognitive-behavioral therapies often integrate strategies to improve medication adherence by targeting medication attitudes and self-efficacy, but the pathway toward behavior change needs further investigation.MethodsThis 3-month prospective, single-arm cohort study tested an automated SMS intervention entitled Individualized Texting for Adherence Building- Cardiovascular (iTAB-CV) in 38 participants with BD and HTN. The Tablets Routine Questionnaire (TRQ) measures the percentage of BD and HTN non-adherence over the past week and the past month. Attitudinal and habit measures including the Brief Illness Perception Questionnaire (Brief IPQ), the Medication Adherence Self-Efficacy Scale-Revised (MASES-R), the Self-Report Habit Index (SRHI), the Beliefs about Medicines Questionnaire (BMQ), and the Attitudes toward Mood Stabilizers Questionnaire (AMSQ) were given for BD and HTN medications. Correlational analyses were run to determine the associations between BD and HTN attitudinal and habit indices. Additionally, longitudinal analyses were conducted to determine if attitudes changed over time as a function of a 2-month mobile-health intervention.ResultsIllness attitudes towards BD were worse than towards HTN at the start of the study. Attitudes toward BD and towards mood-stabilizing drugs as well as antihypertensives improved following a mHealth intervention aimed at improving adherence. Furthermore, self-efficacy and habit strength for both BD and HTN drugs were correlated and were responsive to the intervention, with most of the change occurring after the first month of the intervention and not requiring the addition of the explicit reminders.ConclusionParticipants who received iTAB-CV showed improved attitudes towards BD and mood-stabilizing medication, and had an improvement in self-efficacy and habit strength towards taking both BD and HTN medications. Increased attention to mechanisms of change in mHealth interventions for adherence may facilitate impact. It should be noted that the methodology of the study limits drawing causal conclusions and suggests the need for a randomized control trial.

Mobile health (m-health) is considered an undeniable part of health service delivery, planning, and marketing, which has dramatically changed due to the unique situation caused by the COVID-19 pandemic. The Forth International Congress of Mobile Health, from February 14th to 16th, 2021, in Shiraz, Iran, aimed to provide a venue to exchange ideas, techniques, relevant experiments, and applications with a particular focus on the COVID-19 pandemic impacts. More than 70 experts from different countries in engineering, biomedical sciences, and humanities presented their recent experiences in m-health advancements, particularly in response to the COVID-19 outbreak. In this article, highlights of the most valuable ideas presented at the congress are concisely summarized to give scientists, entrepreneurs, policymakers, and other stakeholders a better understanding of the growing opportunities, and challenges toward the development of m-health

Introduction and purpose: Providing mobile-based cognitive-behavioral interventions reduces physical complications and enhances the quality of life in diabetic patients by improving physical activities. The present study aimed to determine the effect of a model-based intervention based on the health action process approach model (HAPA) on physical activity in the elderly with type 2 diabetes in Qazvin. Methods: The current study was a randomized controlled trial, and using a simple random sampling method, 120 elderly people with type 2 diabetes participated in experimental and control groups. The educational intervention consisted of six virtual training sessions with the aim of promoting the psychological constructs affecting physical activity through short lectures, group discussions, and individual counseling associated with educational pamphlets, audio files, and educational SMS. The scales related to the HAPA model and international physical activity questionnaire (IPAQs) were completed by two groups before and three months after the educational intervention. The data were analyzed in SPSS software (version 25.0), and a significance level of less than 0.05 was considered. Results: The mean age of the participants was 60.7 ± 9.23 years, and 64.17% of cases were female. The results of covariance analysis demonstrated that by controlling the effect of the pre-test, the mean of HAPA constructs as perceived risk, outcome expectancy, social support, action self-efficacy, maintenance self-efficacy, recovery self-efficacy, action planning, coping planning, behavioral intention, and the level of physical activity improved in the experimental group (P