A pilot study of a new app based on self-compassion for the prevention and promotion of mental health among Brazilian college students.

Introduction: Epidemiological data suggest substantial issues on the mental health of university students worldwide. Self-compassion is associated with lower rates of psychological distress and better positive mental health. Thus, we have developed a app-based intervention based on self-compassion principles targeting the prevention and promotion of mental health in college students. The current pilot study assessed adherence to intervention, preliminary mental health benefits, and satisfaction and acceptability with the app among Brazilian college students. Methods: The study employed a pre-experimental single-group design along with pre-test and post-test assessments (n = 23). A mixed methods approach was utilized to comprehensively assess the outcomes of the intervention. Results: The overall adherence rate for the intervention was 37.87%, with 26.26% of participants successfully completing all modules. Among the 21 outcomes assessed, 15 exhibited statistically significant results. Notably, there was a substantial increase in self-compassion, demonstrating a large effect size (d = 1.15), and a moderate effect size reduction in stress (d = 0.62) and anxiety (d = 0.52). All satisfaction indicators for the intervention received scores above 7. The intervention was well-received by participants who completed it, although a potential barrier identified was the volume of text within the app and the need to adopt a more playful and concise format for the intervention. Discussion: Despite a notable participant dropout, the adherence to intervention aligns with patterns observed in other online interventions conducted in real-world settings. The observed mental health benefits, high satisfaction levels, and positive acceptance underscore the rationale for pursuing a subsequent randomized clinical trial.

Gamified Mobile App (MobERAS) for Telemonitoring Patients in the Postoperative Period Based on the Enhanced Recovery after Surgery Program: Development and Validation Study.

BACKGROUND: Digital technology and gamified apps can be useful in the health care context. Gamification uses technology to influence users' actions and motivations through experiences that resemble games. Patient adherence to the enhanced recovery after surgery (ERAS) program is crucial for achieving early recovery after surgery and continuous monitoring is essential for obtaining good results. OBJECTIVE: This study aimed to describe the development and validation of a mobile app for enhanced recovery after surgery (MobERAS), a gamified mobile health app for telemonitoring patients in the postoperative period based on the ERAS program, and to evaluate its functionality and usability and the experience of patients, health care professionals, and computer professionals with its use. METHODS: We developed MobERAS for postoperative telemonitoring, with active participation of patients in the process, and offering availability of real-time information for the health team. The app development process included idealization, interdisciplinary team formation, potential needs assessment, and product deployment. Usability tests were conducted throughout the development process with improvements, technical adjustments, and updates. After finalization, comprehensive verification tests were performed. The parameters evaluated are those that can influence the length of hospital stay, such as nausea, vomiting, pain scales, return to normal gastrointestinal function, and thromboembolic events. MobERAS was designed to be downloaded by users on their phones, tablets, or other mobile devices and to provide postoperative data. The app has a GPS that monitors the patient's walking time and distance and is connected to a virtual database that stores the collected data. RESULTS: Women undergoing medium and major gynecologic oncologic surgeries were included. We included 65 patients with an average age of 53.2 (SD 7.4, range 18-85) years. The time of use ranged from 23.4 to 70 hours (mean 45.1, SD 19.2 hours). Regarding adherence to the use of MobERAS, the mean fill rate was 56.3% (SD 12.1%, range 41.7%-100%), and ambulation data were obtained for 60 (92.3%) of the 65 patients. The researcher had access to the data filled out by the patients in real time. There was good acceptance of the use of MobERAS by the patients, with good evaluation of the app's usability. MobERAS was easy to use and considered attractive because of its gamified design. The app was rated as good or very good in all items by health care professionals (n=20) and professionals specializing in technological innovation (n=10). CONCLUSIONS: MobERAS is easy to use, safe, well accepted by patients, and well evaluated by experts. It can be of great use in clinical surgical practice and an important tool for greater engagement of patients and health care professionals with the ERAS program.

ADAM10 isoforms: Optimizing usage of antibodies based on protein regulation, structural features, biological activity and clinical relevance to Alzheimer's disease.

A Disintegrin and Metalloproteinase 10 (ADAM10) is a crucial transmembrane protein involved in diverse cellular processes, including cell adhesion, migration, and proteolysis. ADAM10's ability to cleave over 100 substrates underscores its significance in physiological and pathological contexts, particularly in Alzheimer's disease (AD). This review comprehensively examines ADAM10's multifaceted roles, highlighting its critical function in the non-amyloidogenic processing of the amyloid precursor protein (APP), which mitigates amyloid beta (Aß) production, a critical factor in AD development. We summarize the regulation of ADAM10 at multiple levels: transcriptional, translational, and post-translational, revealing the complexity and responsiveness of its expression to various cellular signals. A standardized nomenclature for ADAM10 isoforms is proposed to improve clarity and consistency in research, facilitating better comparison and replication of findings across studies. We address the challenges in detecting ADAM10 isoforms using antibodies, advocating for standardized detection protocols to resolve discrepancies in results from different biological matrices. By highlighting these issues, this review underscores the potential of ADAM10 as a biomarker for early diagnosis and a therapeutic target in AD. By consolidating current knowledge on ADAM10's regulation and function, we aim to provide insights that will guide future research and therapeutic strategies in the AD context.

Embedded motivational interviewing combined with a smartphone application to increase physical activity in people with sub-acute low back pain: a cluster randomised controlled trial.

BACKGROUND: Moderately vigorous physical activity (PA) may be beneficial for people with sub-acute low back pain (LBP), but may initially be painful for patients and challenging for physical therapists to facilitate. OBJECTIVES: This study investigated motivational interviewing (MI) delivered by physical therapists and a smartphone app for increasing PA in people with LBP. METHODS: A mixed methods cluster randomised controlled trial involving 46 adults with LBP in Melbourne, Australia. Participants attended weekly 30-min physical therapy consultations for 6 weeks. Experimental group physical therapists were taught to embed MI into consultations and patients were provided with a self-directed app. The primary outcome was accelerometer-derived moderately vigorous PA. Secondary outcomes were LBP disability (Oswestry Disability Index), functional capacity (Patient Specific Functional Scale), and self-efficacy (Pain Self-Efficacy Questionnaire). Between-group differences were analysed by ANCOVA post-intervention. RESULTS: There was no statistically significant difference between the experimental group and control group for PA. Between-group differences in LBP disability (MD= 19.4 units, 95% CI: 8.5, 30.3), functional capacity (primary MD= -4.1 units, 95% CI: -6.9, -1.3; average MD= -3.1, 95% CI: -4.9, -1.2) and self-efficacy (MD -11.3 units, 95%CI -20.2, -2.5) favoured the control group with small to moderate effect sizes. There were low levels of overall engagement with the app. CONCLUSION: The embedded MI intervention was no more beneficial than physical therapy alone for PA and was associated with poorer LBP disability, function, and self-efficacy. The effectiveness of embedding MI and a smartphone app into usual care for LBP was not supported.

BraNet: a mobil application for breast image classification based on deep learning algorithms.

Mobile health apps are widely used for breast cancer detection using artificial intelligence algorithms, providing radiologists with second opinions and reducing false diagnoses. This study aims to develop an open-source mobile app named "BraNet" for 2D breast imaging segmentation and classification using deep learning algorithms. During the phase off-line, an SNGAN model was previously trained for synthetic image generation, and subsequently, these images were used to pre-trained SAM and ResNet18 segmentation and classification models. During phase online, the BraNet app was developed using the react native framework, offering a modular deep-learning pipeline for mammography (DM) and ultrasound (US) breast imaging classification. This application operates on a client-server architecture and was implemented in Python for iOS and Android devices. Then, two diagnostic radiologists were given a reading test of 290 total original RoI images to assign the perceived breast tissue type. The reader's agreement was assessed using the kappa coefficient. The BraNet App Mobil exhibited the highest accuracy in benign and malignant US images (94.7%/93.6%) classification compared to DM during training I (80.9%/76.9%) and training II (73.7/72.3%). The information contrasts with radiological experts' accuracy, with DM classification being 29%, concerning US 70% for both readers, because they achieved a higher accuracy in US ROI classification than DM images. The kappa value indicates a fair agreement (0.3) for DM images and moderate agreement (0.4) for US images in both readers. It means that not only the amount of data is essential in training deep learning algorithms. Also, it is vital to consider the variety of abnormalities, especially in the mammography data, where several BI-RADS categories are present (microcalcifications, nodules, mass, asymmetry, and dense breasts) and can affect the API accuracy model.

"Encephalapp Stroop": Validity and reliability of a smartphone app to measure cognitive performance in physically active subjects.

This study aimed to analyze the validity and reliability of a smartphone app (i.e., Encephalapp Stroop) to measure cognitive performance. Ten physically active individuals (mean age: 25.2 ± 4.3 years) participated in three laboratory visits. In a randomized sequence, subjects completed cognitive assessments using the app and a computer separately. The response times from 100 measurements for congruent and incongruent stimuli were compared between the two devices (app and computer) using the intraclass correlation coefficient, Pearson product-moment correlation coefficient (r), Cronbach's alpha (α), and Bland-Altman plots. There was excellent agreement between the computerized Stroop and the app version for response times for congruent (ICC = 0.806, p < 0.001; Bland-Altman bias = 41.3 ± 56.4 ms, p < 0.001) and incongruent stimuli (ICC = 0.755, p < 0.001; Bland-Altman bias = 76.4 ± 75.1 ms, p < 0.001). In comparison to the computerized version, the app demonstrated a moderate correlation for response times of congruent (r = 0.678, p < 0.001) and incongruent (r = 0.623, p < 0.001) stimuli. The results of the present study indicate that the response times of congruent and incongruent stimuli can be easily, accurately, and reliably evaluated using a mobile app.

Using Principles of Digital Development for a Smartphone App to Support Data Collection in Patients With Acute Myocardial Infarction and Physical Activity Intolerance: Case Study.

BACKGROUND: Advances in health have highlighted the need to implement technologies as a fundamental part of the diagnosis, treatment, and recovery of patients at risk of or with health alterations. For this purpose, digital platforms have demonstrated their applicability in the identification of care needs. Nursing is a fundamental component in the care of patients with cardiovascular disorders and plays a crucial role in diagnosing human responses to these health conditions. Consequently, the validation of nursing diagnoses through ongoing research processes has become a necessity that can significantly impact both patients and health care professionals. OBJECTIVE: We aimed to describe the process of developing a mobile app to validate the nursing diagnosis "intolerance to physical activity" in patients with acute myocardial infarction. METHODS: We describe the development and pilot-testing of a mobile system to support data collection for validating the nursing diagnosis of activity intolerance. This was a descriptive study conducted with 11 adults (aged ≥18 years) who attended a health institution for highly complex needs with a suspected diagnosis of coronary syndrome between August and September 2019 in Floridablanca, Colombia. An app for the clinical validation of activity intolerance (North American Nursing Diagnosis Association [NANDA] code 00092) in patients with acute coronary syndrome was developed in two steps: (1) operationalization of the nursing diagnosis and (2) the app development process, which included an evaluation of the initial requirements, development and digitization of the forms, and a pilot test. The agreement level between the 2 evaluating nurses was evaluated with the κ index. RESULTS: We developed a form that included sociodemographic data, hospital admission data, medical history, current pharmacological treatment, and thrombolysis in myocardial infarction risk score (TIMI-RS) and GRACE (Global Registry of Acute Coronary Events) scores. To identify the defining characteristics, we included official guidelines, physiological measurements, and scales such as the Piper fatigue scale and Borg scale. Participants in the pilot test (n=11) had an average age of 63.2 (SD 4.0) years and were 82% (9/11) men; 18% (2/11) had incomplete primary schooling. The agreement between the evaluators was approximately 80% for most of the defining characteristics. The most prevalent characteristics were exercise discomfort (10/11, 91%), weakness (7/11, 64%), dyspnea (3/11, 27%), abnormal heart rate in response to exercise (2/10, 20%), electrocardiogram abnormalities (1/10, 9%), and abnormal blood pressure in response to activity (1/10, 10%). CONCLUSIONS: We developed a mobile app for validating the diagnosis of "activity intolerance." Its use will guarantee not only optimal data collection, minimizing errors to perform validation, but will also allow the identification of individual care needs.

Development of a Multiplatform Tool for the Prevention of Prevalent Mental Health Pathologies in Adults: Protocol for a Randomized Control Trial.

BACKGROUND: The prevalence of depression and anxiety has increased in recent years, with many individuals having trouble accessing mental health support. Smartphones have become an integral part of modern life, with apps offering new ways to deliver evidence-based self-help strategies to cope with common mental health symptoms. However, most of them do not have empirical evidence of their overall effectiveness or the effectiveness of their components, which could pose a risk for users. OBJECTIVE: The aim of this study is to evaluate the effectiveness of the modules of evaluation, psychoeducation, and emotional regulation strategies in a multiplatform self-help mental health mobile app in the Maule region of Chile. METHODS: A sample of 196 adults will be selected, who will be randomly assigned to different components of the app for a fixed period to assess its ability to reduce symptomatology. RESULTS: The trial is not yet recruiting and is expected to end in October 2024. The first results are expected in April 2024. CONCLUSIONS: This is the first study in Chile to develop and test the effectiveness of a mobile app to manage anxiety and depression symptoms in adults. The intervention proposed is based on evidence suggesting that the internet or remote intervention tools and self-management of prevalent symptomatology could be the future of mental health care systems in the digital era. If the effects of the intervention are positive, wide implementation in Chile and other Spanish-speaking countries could be possible in the future. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/52324.

Use of a Mobile Application for Pelvic Floor Muscle Training in Women With Urinary Incontinence: a Randomized Control Trial.

INTRODUCTION AND HYPOTHESIS: This study was aimed at evaluating the impact of a mobile app-guided pelvic floor muscle training (PFMT) program on urinary symptoms and quality of life in women suffering from urinary incontinence. METHODS: The study included women with stress urinary incontinence (SUI), who underwent a structured interview and completed validated questionnaires, including the Questionnaire for Urinary Incontinence Diagnosis (QUID), the International Consultation on Incontinence Questionnaire - Short Form (ICIQ-SF), and the Incontinence Quality of Life Questionnaire (I-QOL). These women were randomly assigned to one of two groups: the app group, which received a visual depiction on the expected contraction pattern through a mobile app to support their PFMT exercises, and the control (paper) group. Both groups were instructed to perform PFMT exercises twice daily for 30 days. Data were collected at baseline and at 30, 60, 90, and 120 days after completing the exercises. RESULTS: A total of 154 women participated, with 76 in the app group and 78 in the paper group. The mean ages were 61 (± 6.1) and 60.6 (± 6.8) in the app and paper groups respectively (p = 0.644). Both groups showed significant improvements in QUID SUI scores (p < 0.001), overactive bladder (OAB; p < 0.001), ICIQ-SF scores (p < 0.001), and quality-of-life scores (p < 0.001). When comparing the two groups, the app group exhibited a more substantial reduction in OAB (p = 0.017) as assessed by QUID and total (p = 0.042), psychosocial (p = 0.032) and social embarrassment (p = 0.006) I-QOL scores. CONCLUSIONS: The study findings suggest that PFMT guided by a mobile app with visual guidance leads to greater improvements in storage symptoms and quality of life than the home-based PFMT guidance.

Development of a mobile application to represent food intake in inpatients: dietary data systematization.

BACKGROUND: Nutritional risk situations related to decreased food intake in the hospital environment hinder nutritional care and increase malnutrition in hospitalized patients and are often associated with increased morbidity and mortality. The objective of this study is to develop and test the reliability and data similarity of a mobile application as a virtual instrument to assess the acceptability and quality of hospital diets for inpatients. METHODS: This intra- and interobserver development and reliability study investigated an in-hospital food intake monitoring application based on a validated instrument for patients with infectious diseases who were treated at the Evandro Chagas National Institute of Infectious Diseases (INI/FIOCRUZ). The instrument was sequentially administered to patients 48 h after admission to INI hospital units using the printed instrument (paper) and the digital application (ARIETI) simultaneously. The tested reliability factor was the consistency of the method in the digital platform, checking whether the application provided equivalent data to the paper instrument, and finally, a statistical analysis plan was performed in the R platform version 4.2.0. This project was authorized by the FIOCRUZ/INI Research Ethics Committee. RESULTS: The ARIETI was developed and tested for reliability in 70 participants, showing a similar ability to calculate caloric intake in Kcal, protein intake (g), the proportion of caloric intake and protein intake relative to the prescribed goal. These instrument comparison analyses showed statistical significance (p < 0.001). The application was superior to the paper-based instrument, accelerating the time to perform the nutritional risk diagnosis based on food intake by approximately 250 s (average time). CONCLUSIONS: The ARIETI application has demonstrated equivalent reliability compared to the original instrument. Moreover, it optimized the time between the diagnosis of nutritional risk related to dietary intake and the nutritionist's decision making, showing an improved ability to maintain information quality compared to the paper-based instrument.

Changes in Expression of Key Genes in Alzheimer's Disease: A Specific Brain Tissue Change.

Alzheimer's disease (AD) is an irreversible and neurodegenerative disorder. Its etiology is not clear, but the involvement of genetic components plays a central role in the onset of the disease. In the present study, the expression of 10 genes (APP, PS1 and PS2, APOE, APBA2, LRP1, GRIN2B, INSR, GJB1, and IDE) involved in the main pathways related to AD were analyzed in auditory cortices and cerebellum from 29 AD patients and 29 healthy older adults. Raw analysis revealed tissue-specific changes in genes LRP1, INSR, and APP. A correlation analysis showed a significant effect also tissue-specific AD in APP, GRIN2B, INSR, and LRP1. Furthermore, the E4 allele of the APOE gene revealed a significant correlation with change expression tissue-specific in ABPA2, APP, GRIN2B, LRP1, and INSR genes. To assess the existence of a correction between changes in target gene expression and a probability of AD in each tissue (auditory cortices and cerebellum) an analysis of the effect of expressions was realized and showed that the reduction in the expression of the APP in auditory cortex and GRIN2B cerebellum had a significant effect in increasing the probability of AD, in the same logic, our result also suggesting that increased expression of the LRP1 and INSR genes had a significant effect on increasing the probability of AD. Our results showed tissue-specific gene expression alterations associated with AD and certainly opened new perspectives to characterize factors involved in gene regulation and to obtain possible biomarkers for AD.

Mobile app for pelvic floor muscle training for urinary incontinence during the coronavirus disease 2019 pandemic: clinical trial

SUMMARY OBJECTIVE: The objective of this study was to evaluate the effects of home-based pelvic floor muscle training in women with urinary incontinence, addressing the difficulties arising from social isolation due to the coronavirus disease 2019 pandemic by utilizing a specialized mobile app. METHODS: This randomized, single-group clinical trial aimed to assess the efficacy of pelvic floor muscle training guided by a mobile app (Diario Saúde) in women with stress urinary incontinence. Participants were instructed via telephone to engage in pelvic floor muscle training exercises twice a day for 30 days. Pre- and post-treatment, participants completed validated questionnaires regarding urinary symptoms and quality of life through telephone interviews. Additionally, treatment adherence was evaluated. RESULTS: A total of 156 women were enrolled in the study, with a mean age of 49.3±14.2 years. Significant improvements in urinary incontinence symptoms and quality of life were observed following pelvic floor muscle training guided by the mobile app (p<0.001). Notably, 74.3% of the participants reported performing the exercises with appropriate frequency. Of the participants, 62% reported either complete or substantial improvement in urinary symptoms post-treatment. CONCLUSION: This study revealed notable enhancements in stress urinary incontinence, urinary storage, and overall quality of life subsequent to pelvic floor muscle training guided by a mobile app, particularly during the coronavirus disease 2019 pandemic. The mobile app demonstrated robust acceptance and adherence among women experiencing urinary incontinence.

Puntaje APP como predictor de mortalidad en pacientes con síndrome de dificultad respiratoria agudo grave por COVID-19 en un hospital referencial del norte del Perú / APP score as a predictor of mortality in patients with severe acute respiratory distress syndrome due to COVID-19 in a reference hospital in northern of Peru

INTRODUCCIÓN: La mortalidad por pacientes por COVID-19 grave que desarrollaban neumonía grave y síndrome de dificultad respiratoria agudo (SDRA) grave ha sido significativa a pesar del tratamiento oportuno. Es importante determinar predictores tempranos de enfermedad que nos ayuden a estratificar aquellos pacientes con mayor riesgo de fallecer. Se pretende estudiar el comportamiento del puntaje APP (APPS) como predictor de ello, basados en algunos reportes de uso y utilidad en el SDRA. no COVID-19. OBJETIVO: Determinar si el APPS es útil como predictor de mortalidad en SDRA. por COVID-19 grave. PACIENTES Y MÉTODO: Se realizó un estudio tipo cohorte retrospectivo, incluyendo pacientes de la Unidad de Cuidados Intensivos (UCI), con SDRA. por COVID-19 grave, que ingresaron a la UCI del Hospital Regional Docente de Trujillo (HRDT) en el período abril 2020- abril 2021. Se evalúo la utilidad del APPS como predictor de mortalidad em dicha población. RESULTADOS: El APPS demostró ser un factor asociado a mortalidad en pacientes con SDRA. y COVID-19 grave (RPa 1,34; IC 95% 1,16 a 1,56; p < 0,001). Además, encontramos que, al realizar un modelo de predicción ajustado por edad, sexo, SOFA, APPS, shock, Indice de Charlson (ICh), se comportan como factores asociados a mortalidad el APPS, el sexo masculino (RPa: 1,48; IC 95% 1,09 a 2,049; p < 0,05) y el ICh (RPa: 1,11; IC 95% 1,02 a 1,21; p < 0,05). CONCLUSIÓN: El APPS, el sexo masculino y el ICh son predictores de mortalidad en SDRA. por COVID-19 grave.

BACKGROUND: Mortality in patients with severe COVID-19 who developed severe pneumonia and severe Acute Respiratory Distress Syndrome (ARDS) has been significant despite timely treatment. It is important to determine early predictors of disease that help us to stratify those patients with a higher risk of death. It is intended to study the behavior of the APPS score as a predictor of this, based on some reports of use and usefulness in non-COVID-19 ARDS. AIM: To determine if the APP score is useful as a predictor of mortality in ARDS due to severe COVID-19. METHOD: A retrospective cohort study was carried out, including patients from the Intensive Care Unit (ICU) with ARDS due to severe COVID-19 who were admitted to the ICU of the Trujillo Regional Teaching Hospital (HRDT) in the period March 2020 to March 2021. The usefulness of the APP score as a predictor of mortality in mentioned population was evaluated. RESULTS: The APP score proved to be a factor associated with mortality in patients with ARDS and severe COVID-19 (APR 1.34; 95% CI 1.16 to 1.56; p < 0.001). We also found that when performing a prediction model adjusted for age, sex, SOFA, APP score, shock and Charlson Index (ICh) we found that the APP score, male sex (APR: 1.48; 95% CI 1.09 to 2.049; p < 0.05) and the ICh behave as factors associated with mortality (RPa: 1.11; 95% CI 1.02 to 1.21; p < 0.05). CONCLUSION: The APP score, male sex, and ICh are predictors of mortality in ARDS due to severe COVID-19.

Impact of an Educational Mobile App on Inflammatory Bowel Disease Colonoscopy Report Quality.

BACKGROUND: Inadequate endoscopic assessment of disease activity might lead to suboptimal treatment of patients with inflammatory bowel disease (IBD). AIMS: We aimed to determine if the implementation of an educational mobile app could help improving the quality of colonoscopy reports in patients with IBD. METHODS: We retrospectively analyzed a consecutive series of colonoscopy reports in patients with IBD during the period 2016-2023. The sample was divided into two groups: before and after the implementation of an educational mobile app (JEDII app ™). The main outcome was the inclusion of validated activity assessment scoring systems and previously stablished reporting required elements. RESULTS: A total of 883 IBD colonoscopy reports were included for analysis; 621 (70.3%) procedures were performed before the implementation of the app and 262 (29.7%) after. An IBD scoring system was included in 201 (32.4%) and 148 (56.5%) colonoscopy reports before and after the adoption of the mobile app, respectively (p < 0.001). The mean number of recommended elements for quality IBD colonoscopy reporting was significantly increased after the app implementation (4.3 vs. 1.9, p < 0.001). Diagnosis of ulcerative colitis, gastroenterologist as endoscopist, endoscopist with IBD clinical interest, and the implementation of the educational mobile app were independently associated with the inclusion of an IBD score in the colonoscopy report. CONCLUSION: The inclusion of scoring systems and recommended elements for quality IBD colonoscopy report significantly increased after the implementation of an educational mobile app. E-health technologies should be further explored to improve quality of care in patients with IBD.

Addressing discrimination and violence against Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) persons from Brazil: a mobile health intervention.

BACKGROUND: Sexual and gender minorities (SGM) experience higher rates of discrimination and violence when compared to cis, heterosexual peers. However, violent crimes and other hate incidents against SGM persons are consistently not reported and prosecuted because of chronic distrust between the SGM community and police. Brazil is one of the most dangerous countries for SGM persons globally. Herein, we describe the development of a mobile health intervention to address the rampant violence against this population, the Rainbow Resistance-Dandarah app. METHODS: We conducted community-based participatory research (CBPR) between 2019 and 2020. The study started with in-depth interviews (IDIs) and focus group discussions (FGDs) with representatives of the SGM community from Brazil. Descriptive qualitative data analysis included the plotting of a 'word cloud', to visually represent word frequency, data coding and analysis of more frequent themes related to app acceptability, usability, and feasibility. A sub-sample of SGM tested the app and suggested improvements, and the final version was launched in December 2019. RESULTS: Since the app was launched in December 2019, the app recorded 4,114 active SGM users. Most participants are cisgender men (50.9%), self-identified as gay (43.5%), White (47.3%), and aged 29 or less (60.9%). FGDs and IDIs participants discussed the importance of the app in the context of widespread violence toward SGM persons. Study participants perceived this mHealth strategy as an important, effective, and accessible for SGM surviving violence. The CBPR design was highlighted as a key strategy that allowed SGM persons to collaborate in the design of this intervention actively. Some users reported how the panic button saved their lives during violent attacks. CONCLUSIONS: Rainbow Resistance-Dandarah app was endorsed as a powerful tool for enhancing reporting episodes of violence/discrimination against SGM persons and a key strategy to connect users with a safe network of supportive services. Results indicate that the app is an engaging, acceptable, and potentially effective mHealth intervention. Participants reported many advantages of using it, such as being able to report harassment and violence, connect with a safe network and receive immediate support.

The effects of short video app-guided loving-kindness meditation on college students' mindfulness, self-compassion, positive psychological capital, and suicide ideation.

OBJECTIVE: The study investigated the effects of a short video app guided loving-kindness meditation (LKM) on college students' mindfulness, self-compassion, positive psychological capital, and suicide ideation. The purpose of the study is to investigate the intervention effect of LKM training on suicidal ideation among college students with the help of the short video application and to provide an empirical basis for the exploration of early suicide intervention strategies for college students. METHODS: We recruited 80 college students from a university in China. The final 74 eligible participants were divided into two groups: app use group (n = 37) and the control group (n = 37). The app group accepted an 8-week app use interference, while the control group underwent no interference. We measured four major variable factors (mindfulness, self-compassion, positive psychological capital, and suicide ideation) before and after the app use intervention. RESULTS: In the app group, self-compassion and positive psychological capital were significantly higher, and suicide ideation was significantly lower than the control group. In the control group, there were no noticeable differences in any of the four variables between the pre-test and post-test. CONCLUSIONS: Our findings demonstrate that the short video app guided LKM may help to improve self-compassion, and positive psychological capital, and reduce suicide ideation. The finding of the short video app-guided LKM's effect extends our understanding of the integrative effects of positive psychology and digital media on the reduction of suicide ideation.

A Review of Software and Mobile Apps to Support the Clinical Diagnosis of Hansen Disease.

This scoping review indicates a lack of scientific articles that specifically explore software and mobile applications designed to assist in the clinical diagnosis of leprosy, and our findings have provided insights into the available tools, their usage methods, and the benefits offered by health technologies.

Nutrition and Diet Apps: Brazilian Panorama before and during the COVID-19 Pandemic.

In the last decade, we have seen a substantial increase in the development and use of mobile technology to improve diet and healthy eating behaviors. OBJECTIVE: To describe the characteristics of nutrition and diet apps before and after the COVID-19 pandemic available in Brazil. METHODS: Nutrition and diet apps were identified using the official Apple and Google stores. The search occurred in January 2020 and May 2022 in Brazil. We extracted the nutritional content and standard indicators (e.g., being developed before or after 2020, number of languages, target population, investment, prices, seller, number of reviews and downloads, consumer rating). RESULTS: 280 apps were launched before and 411 during the COVID-19 period. Most apps were available in at least ten languages (96.6%), with no indication of age (95.6%) or partial or full cost (59%). As for the contents, 18.9% addressed personal diet suggestions; 73.4%, nutritional education; 48.8%, revenues; 35.9%, physical activity with a nutritional guide; 2.3%, nutritional recommendation for eating out; 23.9%, grocery shopping with a scan code; 32.4%, food diary; 18.9%, water intake; and 4.6%, nutrition/diseases. The data show an evolution that may have been boosted by the pandemic and that reveals a trend towards the development of apps with educational content. CONCLUSION: During the pandemic, there was a positive qualitative and quantitative movement in e-health regarding the promotion of education.

Development, feasibility testing and perceived benefits of a new app to help with adherence to antiretroviral therapy in people living with HIV in Brazil.

BACKGROUND: Despite the availability of antiretroviral therapy (ART) in many countries, people living with HIV still experience difficulties with treatment. We propose a new smartphone mobile application to assist in adherence to ART. This study aimed to describe this new mobile application's development (content construction and usability), feasibility testing (recruitment, retention rates [attendance], satisfaction) and primary perceived benefits. METHODS: Two consecutive studies were conducted. First, people living with HIV, health care workers and experts in information technology provided feedback to improve the content and usability of the app. After changes in the app were implemented according to the feedback, a second study was performed to assess the feasibility and perceived benefits. Effects on self-reported adherence and perceived well-being were also assessed. RESULTS: Scores of participants (N = 11) showed differences in adherence (effect size .43) and well-being (effect size .45) after using the app. However, the differences did not reach statistical significance. Observing scores individually, six out of 11 participants improved their overall adherence scores, and seven out of 11 participants improved their perceived well-being scores. Recruitment was 95%, and attendance at sessions was 62.5%. In general, the participants were satisfied with the intervention and viewed the app as an informative tool. CONCLUSION: The results are promising and allow us to recommend further studies with the app.