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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.

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BACKGROUND: Identifying individuals with depressive symptomatology (DS) promptly and effectively is of paramount importance for providing timely treatment. Machine learning models have shown promise in this area; however, studies often fall short in demonstrating the practical benefits of using these models and fail to provide tangible real-world applications. OBJECTIVE: This study aims to establish a novel methodology for identifying individuals likely to exhibit DS, identify the most influential features in a more explainable way via probabilistic measures, and propose tools that can be used in real-world applications. METHODS: The study used 3 data sets: PROACTIVE, the Brazilian National Health Survey (Pesquisa Nacional de Saúde [PNS]) 2013, and PNS 2019, comprising sociodemographic and health-related features. A Bayesian network was used for feature selection. Selected features were then used to train machine learning models to predict DS, operationalized as a score of ≥10 on the 9-item Patient Health Questionnaire. The study also analyzed the impact of varying sensitivity rates on the reduction of screening interviews compared to a random approach. RESULTS: The methodology allows the users to make an informed trade-off among sensitivity, specificity, and a reduction in the number of interviews. At the thresholds of 0.444, 0.412, and 0.472, determined by maximizing the Youden index, the models achieved sensitivities of 0.717, 0.741, and 0.718, and specificities of 0.644, 0.737, and 0.766 for PROACTIVE, PNS 2013, and PNS 2019, respectively. The area under the receiver operating characteristic curve was 0.736, 0.801, and 0.809 for these 3 data sets, respectively. For the PROACTIVE data set, the most influential features identified were postural balance, shortness of breath, and how old people feel they are. In the PNS 2013 data set, the features were the ability to do usual activities, chest pain, sleep problems, and chronic back problems. The PNS 2019 data set shared 3 of the most influential features with the PNS 2013 data set. However, the difference was the replacement of chronic back problems with verbal abuse. It is important to note that the features contained in the PNS data sets differ from those found in the PROACTIVE data set. An empirical analysis demonstrated that using the proposed model led to a potential reduction in screening interviews of up to 52% while maintaining a sensitivity of 0.80. CONCLUSIONS: This study developed a novel methodology for identifying individuals with DS, demonstrating the utility of using Bayesian networks to identify the most significant features. Moreover, this approach has the potential to substantially reduce the number of screening interviews while maintaining high sensitivity, thereby facilitating improved early identification and intervention strategies for individuals experiencing DS.

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INTRODUCTION: Up to 25% of children and 5.6% of adults in the USA have atopic dermatitis (AD), with substantial impacts on quality of life. Effective control can be challenging despite therapy efforts. The emergence of information and communication technologies (ICT) in AD management prompted this study to assess its impact on self-management. We conducted a meta-analysis to assess outcomes from peer-reviewed clinical trials evaluating the effectiveness of teledermatology, mobile health (mHealth) apps, and electronic devices for managing AD. METHODS: We searched PubMed, Web of Science, Scopus, and Embase for articles written in English and published until May 2023. RESULTS: Twelve trials with 2424 participants were selected from 811 studies. A meta-analysis of 1038 individuals reported a mean difference (MD) of -1.57 [95% confidence interval (CI): -2.24, -0.91] for the Patient Oriented Eczema Measure (POEM). A meta-analysis of 495 individuals reported a Dermatology Life Quality Index (DLQI) MD of -0.59 [95% CI: -0.95, -0.23]. Despite heterogeneity (I2 = 47% and I2 = 74%), the impact was significant (P ≤ 0.001). SCORing Atopic Dermatitis (SCORAD) showed an insignificant MD of -0.12 (P = 0.91). CONCLUSION: mHealth applications and telemonitoring show significant improvement in patients' quality of life (DLQI) and self-management (POEM) but no significant impact on AD severity (SCORAD).

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Several protocols for motor assessment have been validated for use on smartphones and could be employed by public healthcare systems to monitor motor functional losses in populations, particularly those with lower income levels. In addition to being cost-effective and widely distributed across populations of varying income levels, the use of smartphones in motor assessment offers a range of advantages that could be leveraged by governments, especially in developing and poorer countries. Some topics related to potential interventions should be considered by healthcare managers before initiating the implementation of such a digital intervention.

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INTRODUCTION: Chronic kidney disease is a worldwide public health problem, with a high prevalence of patients on dialysis. mHealth technologies can greatly support the treatment and monitoring of these patients. Thus, this study aimed to evaluate the spontaneous use of the application (app) Renal Health, a previously available technology, for patients on hemodialysis and validate content to support patients undergoing peritoneal dialysis. METHODS: The first stage consisted of evaluating the spontaneous use of the app, and the second stage consisted of methodological research for the development, evaluation, and improvement of a technological instrument for use in clinical practice as a support for patients undergoing peritoneal dialysis (PD). The association between categorical variables was performed using the chi-square test, adopting a significance level of 5%. RESULTS: The app was accessed by 753 users and of these, 34 % accessed the hemodialysis section. Most accesses were in the state of São Paulo/Brazil and performed by women. The records of biochemical tests did not vary according to gender and age group (p > 0.05). The developed and validated PD section enables section control, allowing the user to manage their sessions. The analysis of the technology by the specialists showed good results for the global content validity index (CVI) regarding objectives (CVI = 0.95), structure (CVI = 0.97), and relevance (CVI = 1.0). CONCLUSION: It is concluded that the hemodialysis section of the Renal Health app aroused the interest of the population and that the developed peritoneal dialysis section was validated by specialists.

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Background: The quantification of self-triage effectiveness, guided by mobile applications, in urgent direct-to-consumer telemedicine (TM) encounters requires further investigation. The objective of this study was to evaluate the outcomes of referral guidance provided by a symptom-based self-management mobile application decision algorithm in the context of remote urgent care assessments. Methods: An observational retrospective single-center study was conducted from May 2022 to December 2023. The inclusion criteria encompassed individuals aged >18 years old, and those spontaneously seeking virtual emergency care through the EINSTEIN CONECTA application. Patients experiencing connectivity issues, preventing completion of the encounter, were excluded. The primary outcomes included the rate of patient concurrence with the algorithm's recommendation for seeking in-person emergency care and the referral rate to face-to-face assessment among cases evaluated through TM. The application's algorithm employs scientific evidence based on symptoms to recommend referrals to emergency departments (EDs). Results: Out of 88,834 patients connected to the TM Center, self-triage obviated the need for virtual physician assessment in 53,302 (60%) encounters. A total of 35,532 patients were remotely evaluated by 316 on-duty physicians, resulting in 1,125 ICD-coded diagnoses. Among these, 21,722 (61.1%) were initially advised by self-triage to visit the ED, with subsequent medical assessment leading to in-person referrals in 6,354 (29.3%) of the evaluations. Of the 13,810 patients recommended to continue with virtual care post-self-triage, 157 (1.1%) were referred for in-person assessment. Conclusions: Self-triage effectively reduced the need for physician encounters in approximately three-fifths of TM consultations. Despite being based on scientific evidence, symptom-based referral algorithms demonstrated high sensitivity but poor correlation with physician decision-making.

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BACKGROUND: Neonatal jaundice is a common condition that can lead to brain damage and disabilities when severe cases go undetected. Low- and middle-income countries often lack accurate methods for detecting neonatal jaundice and rely on visual assessment, resulting in a higher incidence of adverse consequences. Picterus Jaundice Pro (Picterus JP), an easy-to-use and affordable smartphone-based screening device for the condition, has demonstrated higher accuracy than visual assessment in Norwegian, Philippine and Mexican newborns. This study aimed to identify the barriers and facilitators to implementing Picterus JP in public health services in low-income settings in Mexico by exploring the current process of neonatal jaundice detection and stakeholders' perspectives in that context. METHODS: Qualitative data collection techniques, including one focus group, 15 semi-structured interviews and four observations, were employed in urban and rural health facilities in Oaxaca, Mexico. The participants included medical doctors, nurses and health administrators. The data were analysed by thematic analysis guided by the Consolidated Framework for Implementation Research. RESULTS: The analysis yielded four main themes: (I) the current state of neonatal care and NNJ detection, (II) the needs and desires for enhancing NNJ detection, (III) the barriers and facilitators to implementing Picterus JP in the health system and (IV) HCWs' expectations of Picterus JP. The findings identify deficiencies in the current neonatal jaundice detection process and the participants' desire for a more accurate method. Picterus JP was perceived as easy to use, useful and compatible with the work routine, but barriers to adoption were identified, including internet deficiencies and costs. CONCLUSIONS: The introduction of Picterus JP as a supporting tool to screen for neonatal jaundice is promising but contextual barriers in the setting must be addressed for successful implementation. There is also an opportunity to optimise visual assessment to improve detection of neonatal jaundice.

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Arboviral diseases remain a significant health concern worldwide, with over half the world's population at risk for dengue alone. Without a vaccine or targeted treatment, the most effective strategy of prevention is vector management with community involvement. mHealth interventions, like WhatsApp, offer promising results for engaging communities and promoting healthier behaviors. This study explores the feasibility of integrating WhatsApp in vector control activities to improve arbovirus prevention in Colombia. A mixed-methods approach was employed to assess the WhatsApp-based intervention. WhatsApp messages were sent to 45 community women for 5 weeks to increase their knowledge and practices about dengue, Zika, and chikungunya. Pre-and-post surveys and focus group discussions were conducted in community settings to measure the feasibility and acceptability of this intervention. Chat reviews were done to assess the usability of users. A total of 1566 messages were exchanged in 45 WhatsApp chats. High acceptance and good usability (82% of users used the app for replying) were reported in this study. WhatsApp messages were perceived as short, clear, and enjoyable. Users liked the frequency, and design of messages. Pre- and post-surveys demonstrated improvements in the knowledge and practices of arboviral diseases. The intention to apply this knowledge in practice was reflected in a significant improvement, particularly in cleaning the laundry tank once a week (pre 62.1% to post 89.6%, p < 0.008). This study suggests that using WhatsApp as an additional tool could be a feasible, acceptable, and affordable strategy for improving the adoption of better practices in the prevention of arboviral diseases.

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BACKGROUND: Digital technologies have positively impacted the availability and usability of clinical algorithms through the advancement in mobile health. Therefore, this study aimed to determine if a web-based algorithm designed to support the decision-making process of cancer care providers (CCPs) differentially impacted their self-reported self-efficacy and practices for providing smoking prevention and cessation services in Peru and Colombia. METHODS: A simple decision-making tree algorithm was built in REDCap using information from an extensive review of the currently available smoking prevention and cessation resources. We employed a pre-post study design with a mixed-methods approach among 53 CCPs in Peru and Colombia for pilot-testing the web-based algorithm during a 3-month period. Wilcoxon signed-rank test was used to compare the CCPs' self-efficacy and practices before and after using the web-based algorithm. The usability of the web-based algorithm was quantitatively measured with the system usability scale (SUS), as well as qualitatively through the analysis of four focus groups conducted among the participating CCPs. RESULTS: The pre-post assessments indicated that the CCPs significantly improved their self-efficacy and practices toward smoking prevention and cessation services after using the web-based algorithm. The overall average SUS score obtained among study participants was 82.9 (± 9.33) [Peru 81.5; Colombia 84.1]. After completing the qualitative analysis of the focus groups transcripts, four themes emerged: limited resources currently available for smoking prevention and cessation in oncology settings, merits of the web-based algorithm, challenges with the web-based algorithm, and suggestions for improving this web-based decision-making tool. CONCLUSION: The web-based algorithm showed high usability and was well-received by the CCPs in Colombia and Peru, promoting a preliminary improvement in their smoking prevention and cessation self-efficacy and practices.

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BACKGROUND: Inadequate working conditions and sedentary work can exert a negative impact on workers' health and wellbeing, leading to musculoskeletal disorders and disability. Mobile health (mHealth) applications (apps) have high potential for the self-management of workers' health. OBJECTIVE: To identify mHealth apps aimed at promoting workers' health and wellbeing available in Brazilian online stores and assess these apps in terms of engagement, functionality, aesthetics and information quality. METHODS: A systematic search for apps was conducted in the Brazilian online App Store and Play Store in December 2022. Only smartphone apps in Brazilian Portuguese directed at workers' health were assessed. The appraisal of the quality of the applications was performed using the Mobile App Rating Scale (MARS). RESULTS: Among the 3449 mHealth apps found, ten were eligible for inclusion. The mean overall score was 3.15 ± 0.91 on a scale of 1-5. The lowest score was found for the "credibility" item. Exercises and breaks were the most frequent strategies. Most apps provided low-quality information from questionable sources and therefore received a mean score of 2.1 ± 1.5 on the MARS information subscale. CONCLUSION: Ten relevant mHealth apps were eligible for inclusion. The mHealth apps for the promotion of workers' health and wellbeing currently available in Brazil exhibited moderate quality and limited functionality.

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BACKGROUND: The prevalence of overweight and obesity in schoolchildren is increasing in Peru. Given the increased use of digital media, there is potential to develop effective digital health interventions to promote healthy eating practices at schools. This study investigates the needs of schoolchildren in relation to healthy eating and the potential role of digital media to inform the design of game-based nutritional interventions. OBJECTIVE: This study aims to explore schoolchildren's knowledge about healthy eating and use of and preferences for digital media to inform the future development of a serious game to promote healthy eating. METHODS: A survey was conducted in 17 schools in metropolitan Lima, Peru. The information was collected virtually with specific questions for the schoolchild and their caregiver during October 2021 and November 2021 and following the COVID-19 public health restrictions. Questions on nutritional knowledge and preferences for and use of digital media were included. In the descriptive analysis, the percentages of the variables of interest were calculated. RESULTS: We received 3937 validated responses from caregivers and schoolchildren. The schoolchildren were aged between 8 years and 15 years (2030/3937, 55.8% girls). Of the caregivers, 83% (3267/3937) were mothers, and 56.5% (2223/3937) had a secondary education. Only 5.2% (203/3937) of schoolchildren's homes did not have internet access; such access was through WiFi (2151/3937, 54.6%) and mobile internet (1314/3937, 33.4%). In addition, 95.3% (3753/3937) of schoolchildren's homes had a mobile phone; 31.3% (1233/3937) had computers. In relation to children's knowledge on healthy eating, 42.2% (1663/3937) of schoolchildren did not know the recommendation to consume at least 5 servings of fruits and vegetables daily, 46.7% (1837/3937) of schoolchildren did not identify front-of-package warning labels (FOPWLs), and 63.9% (2514/3937) did not relate the presence of an FOPWL with dietary risk. Most schoolchildren (3100/3937, 78.7%) preferred to use a mobile phone. Only 38.3% (1509/3937) indicated they preferred a computer. In addition, 47.9% (1885/3937) of caregivers considered that the internet helps in the education of schoolchildren, 82.7% (3254/3937) of caregivers gave permission for schoolchildren to play games with digital devices, and 38% (1495/3937) of caregivers considered that traditional digital games for children are inadequate. CONCLUSIONS: The results suggest that knowledge about nutrition in Peruvian schoolchildren has limitations. Most schoolchildren have access to the internet, with mobile phones being the device type with the greatest availability and preference for use. Caregivers' perspectives on games and schoolchildren, including a greater interest in using digital games, provide opportunities for the design and development of serious games to improve schoolchildren's nutritional knowledge in Peru. Future research is needed to explore the potential of serious games that are tailored to the needs and preferences of both schoolchildren and their caregivers in Peru in order to promote healthy eating.

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BACKGROUND: Promoting physical activity (PA) and healthy feeding (HF) is crucial to address the alarming increase in obesity rates in developing countries. Leveraging mobile phones for behavior change communication to encourage infant PA and promote HF is particularly significant within the Mexican context. OBJECTIVE: This study aims to explore the effectiveness and feasibility of mHealth interventions aimed at promoting PA and HF among primary caregivers (PCs) of Mexican children under the age of 5 years. Additionally, the study aims to disseminate insights gained from intervention implementation amidst the COVID-19 pandemic and assess the potential of behavior change mHealth interventions on a broader population scale. METHODS: NUTRES, an mHealth intervention, underwent an effectiveness-implementation hybrid trial. Over 36 weeks, participants in the intervention group (IG), totaling 230 individuals, received approximately 108 SMS text messages tailored to their children's age. These messages covered topics such as PA and HF and emphasized the significance of proper child nutrition amidst the COVID-19 pandemic. NUTRES participants were recruited from both urban and rural health units across 2 states in Mexico. Given the COVID-19 context, both baseline and follow-up surveys were conducted via mobile or fixed telephone. The evaluation of effectiveness and implementation used a mixed methods approach. Qualitative analysis delved into participants' experiences with NUTRES and various implementation indicators, including acceptance, relevance, and coverage. Grounded theory was used for coding and analysis. Furthermore, difference-in-differences regression models were used to discern disparities between groups (comparison group [CG] versus IG) concerning knowledge and practices pertaining to infant PA and HF. RESULTS: Of the total 494 PCs enrolled in NUTRES, 334 persisted until the end of the study, accounting for 67.6% (334/494) participation across both groups. A majority of PCs (43/141, 30.5%, always; and 97/141, 68.8%, sometimes) used the SMS text message information. Satisfaction and acceptability toward NUTRES were notably high, reaching 98% (96/98), with respondents expressing that NUTRES was "good," "useful," and "helpful" for enhancing child nutrition. Significant differences after the intervention were observed in PA knowledge, with social interaction favored (CG: 8/135, 5.9% vs IG: 20/137, 14.6%; P=.048), as well as in HF practice knowledge. Notably, sweetened beverage consumption, associated with the development of chronic diseases, showed divergence (CG: 92/157, 58.6% vs IG: 110/145, 75.9%; P=.003). In the difference-in-differences model, a notable increase of 0.03 in knowledge regarding the benefits of PA was observed (CG: mean 0.13, SD 0.10 vs IG: mean 0.16, SD 0.11; P=.02). PCs expressed feeling accompanied and supported, particularly amidst the disruption of routine health care services during the COVID-19 pandemic. CONCLUSIONS: While NUTRES exhibited a restricted impact on targeted knowledge and behaviors, the SMS text messages functioned effectively as both a reminder and a source of new knowledge for PCs of Mexican children under 5 years of age. The key lessons learned were as follows: mHealth intervention strategies can effectively maintain communication with individuals during emergencies, such as the COVID-19 pandemic; methodological and implementation barriers can constrain the effectiveness of mHealth interventions; and using mixed methods approaches ensures the complementary nature of results. The findings contribute valuable evidence regarding the opportunities and constraints associated with using mobile phones to enhance knowledge and practices concerning PA and HF among PCs of children under 5 years old. TRIAL REGISTRATION: ClinicalTrials.gov NCT04250896; https://clinicaltrials.gov/ct2/show/NCT04250896.

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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.

O objetivo deste artigo foi analisar a literatura acerca do desenvolvimento tecnológico na telemedicina, por meio da bibliometria, ao identificar o estado da arte, lacunas de pesquisa e tendências na literatura. Analisou-se 67 artigos relacionados ao campo de estudo, publicados entre 2010-2020 nas bases de dados Springer Link, Science Direct, Wiley Online Library, Web of Science e Scopus. O tratamento dos dados se deu por meio dos softwares StArt, Excel, IBM SPSS Statistics e Iramuteq. Os resultados apresentaram a análise bibliométrica dos artigos, classificados nas áreas de Gestão (52,2%), TI (25,4%) e Medicina (22,4%), e uma tabela com 34 sugestões para pesquisas futuras. As tendências da literatura envolveram seis classes de estudo (saúde, estudo, serviço, tecnologia, paciente e telemedicina), que se subdividiram em nove temas de pesquisa (plataforma digital, gestão do serviço de telemedicina, operação do serviço de telemedicina, percepção do usuário final, oportunidades de negócios, percepção de profissionais de saúde, covid-19, regulamentação e robótica). Observou-se aumento significativo no número de publicações na área devido à covid-19.

El objetivo de este artículo fue analizar la literatura sobre el desarrollo tecnológico en la telemedicina me-diante bibliometría, identificando el estado del arte, las lagunas de investigación y las tendencias en la literatura. Se analizaron un total de 67 artículos relacionados con el campo de estudio, publicados entre 2010-2020 en las bases de datos de Springer Link, Science Direct, Wiley Online Library, Web of Science y Scopus. Los datos fueron procesados utilizando los programas StArt, Excel, IBM SPSS Statistics e Iramuteq. Los resultados presentaron un análisis bibliométrico de los artículos, clasificados en las áreas de Gestión (52,2%), TI (25,4%) y Medicina (22,4%), junto con una tabla de 34 sugerencias para futuras investiga-ciones. Las tendencias en la literatura abarcaron seis clases de estudio (salud, estudio, servicio, tecnología, paciente y telemedicina), que se subdividieron en nueve temas de investigación (plataforma digital, gestión del servicio de telemedicina, operación del servicio de telemedicina, percepción del usuario final, oportuni-dades de negocio, percepción de los profesionales de la salud, covid-19, regulación y robótica). Un resultado observado fue un aumento significativo en el número de publicaciones en el área debido al covid-19.

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OBJECTIVE: The optimal management of placenta accreta spectrum (PAS) requires the participation of multidisciplinary teams that are often not locally available in low-resource settings. Telehealth has been increasingly used to manage complex obstetric conditions. Few studies have explored the use of telehealth for PAS management, and we aimed evaluate the usage of telehealth in the management of PAS patients in low-resource settings. METHODS: Between March and April 2023, an observational, survey-based study was conducted, and obstetricians-gynecologists with expertise in PAS management in low- and middle-income countries were contacted to share their opinion on the potential use of telehealth for the diagnosis and management of patients at high-risk of PAS at birth. Participants were identified based on their authorship of at least one published clinical study on PAS in the last 5 years and contacted by email. This is a secondary analysis of the results of that survey. RESULTS: From 158 authors contacted we obtained 65 responses from participants in 27 middle-income countries. A third of the participants reported the use of telehealth during the management obstetric emergencies (38.5%, n = 25) and PAS (36.9%, n = 24). Over 70% of those surveyed indicated that they had used "informal" telemedicine (phone call, email, or text message) during PAS management. Fifty-nine participants (90.8%) reported that recommendations given remotely by expert colleagues were useful for management of patients with PAS in their setting. CONCLUSION: Telehealth has been successfully used for the management of PAS in middle-income countries, and our survey indicates that it could support the development of specialist care in other low resource settings.

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BACKGROUND: Stunting and micronutrient deficiencies have persistently affected children in the Brazilian Amazon for decades. However, in recent years, a notable increase in childhood overweight prevalence has been observed, particularly in the context of heightened food insecurity exacerbated by the COVID-19 pandemic. Despite the limited number of effective solutions proposed to tackle this problem, digital interventions have shown great promise worldwide in preventing obesity and promoting healthy diets. OBJECTIVE: This study aims to describe the protocol of a family-based WhatsApp intervention, specifically designed to investigate the efficacy of multimedia messaging in preventing excessive weight gain and improving healthy eating practices among school-aged children in the Amazon region. METHODS: This study protocol outlines a theory-driven randomized controlled trial based on the cognitive theory of multimedia learning and the social cognitive theory. A total of 240 parents or caregivers of children enrolled in the Maternal and Child Health and Nutrition Cohort Study in Acre (MINA-Brazil) will be recruited by phone and social media. The intervention group will receive persuasive multimedia messages through WhatsApp over 19 weeks, while the waitlist control group will remain in the usual care. The primary outcome is a change in children's BMI in z score. Secondary outcomes are changes in dietary intake and biochemical indicators of the children. Outcome measures will be assessed at baseline and 5 months after randomization in comparison to usual care. The analysis will use an intent-to-treat approach and will be conducted using the statistical package Stata (version 18.0), with a significance level set at P<.05. Paired and unpaired 2-tailed t tests will be applied to compare mean changes in the outcomes. RESULTS: Data collection started in June 2023, and final measurements are scheduled to be completed in December 2023. The results of the main analysis are expected to be available in 2024. CONCLUSIONS: This innovative multimedia message intervention holds significant potential for fostering behavioral changes among Amazonian children. TRIAL REGISTRATION: Brazilian Clinical Trials Registry RBR-5zdnw6t; https://ensaiosclinicos.gov.br/rg/RBR-5zdnw6t. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54446.

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Durante el embarazo la mujer experimenta muchos cambios, no solo físicos, también mentales, por eso la salud mental perinatal es de gran importancia en esta etapa. La mayoría de las mujeres en embarazo que desarrollan alguna enfermedad mental durante la gestación, como depresión o ansiedad, no son diagnosticadas, lo que puede generar efectos adversos para la madre y el bebé. En ese sentido, es de gran importancia el tamizaje, diagnóstico, manejo y seguimiento de este grupo. Gracias a los avances tecnológicos podemos contar con las tecnologías de la Información y la comunicación (TIC) para buscar maneras cómo aproximarse a las mujeres en etapa perinatal para el tamizaje y hacer el seguimiento de su salud mental. Así que este artículo de revisión se enfoca en ver su aceptabilidad, la percepción, las barreras al acceso y nuevos desarrollos enfocados en mejorar la salud mental en las mujeres en etapa perinatal.

During pregnancy, a woman experiences many changes, not only physical, but also mental, which is why perinatal mental health is of great importance at this stage. The majority of pregnant women who develop a mental illness during pregnancy, such as depression or anxiety, are not diagnosed, which can cause adverse effects for the mother and baby. In this sense, the screening, diagnosis, management and follow-up of this group is of great importance. Thanks to technological advances, we can count on the Information and Communication Technologies (ICT) to find ways to approach women in the perinatal stage for screening and monitoring their mental health. So this review article focuses on seeing its acceptability, perception, barriers to access and new developments focused on improving mental health in perinatal women.

Durante el embarazo la mujer experimenta muchos cambios, no solo físicos, también mentales, por eso la salud mental perinatal es de gran importancia en esta etapa. La mayoría de las mujeres en embarazo que desarrollan alguna enfermedad mental durante la gestación, como depresión o ansiedad, no son diagnosticadas, lo que puede generar efectos adversos para la madre y el bebé. En ese sentido, es de gran importancia el tamizaje, diagnóstico, manejo y seguimiento de este grupo. Gracias a los avances tecnológicos podemos contar con las tecnologías de la Información y la comunicación (TIC) para buscar maneras cómo aproximarse a las mujeres en etapa perinatal para el tamizaje y hacer el seguimiento de su salud mental. Así que este artículo de revisión se enfoca en ver su aceptabilidad, la percepción, las barreras al acceso y nuevos desarrollos enfocados en mejorar la salud mental en las mujeres en etapa perinatal.

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BACKGROUND: Uptake of mobile phone surveys (MPS) is increasing in many low- and middle-income countries, particularly within the context of data collection on non-communicable diseases (NCDs) behavioural risk factors. One barrier to collecting representative data through MPS is capturing data from older participants.Respondent driven sampling (RDS) consists of chain-referral strategies where existing study subjects recruit follow-up participants purposively based on predefined eligibility criteria. Adapting RDS strategies to MPS efforts could, theoretically, yield higher rates of participation for that age group. OBJECTIVE: To investigate factors that influence the perceived acceptability of a RDS recruitment method for MPS involving people over 45 years of age living in Colombia. METHODS: An MPS recruitment strategy deploying RDS techniques was piloted to increase participation of older populations. We conducted a qualitative study that drew from surveys with open and closed-ended items, semi-structured interviews for feedback, and focus group discussions to explore perceptions of the strategy and barriers to its application amongst MPS participants. RESULTS: The strategy's success is affected by factors such as cultural adaptation, institutional credibility and public trust, data protection, and challenges with mobile phone technology. These factors are relevant to individuals' willingness to facilitate RDS efforts targeting hard-to-reach people. Recruitment strategies are valuable in part because hard-to-reach populations are often most accessible through their contacts within their social network who can serve as trust liaisons and drive engagement. CONCLUSIONS: These findings may inform future studies where similar interventions are being considered to improve access to mobile phone-based data collection amongst hard-to-reach groups.

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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.

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OBJECTIVE: Internet-based interventions may positively impact maternal symptoms of postnatal depression and anxiety. This study assessed the feasibility, acceptability, perceived usefulness, and preliminary effectiveness of an m-Health version of "What Were We Thinking?" (m-WWWT). METHODS: A mixed-methods with a 2-arm randomized parallel design was used. From a total of 477 women, 157 met the inclusion criteria. 128 first-time mothers of full-term infants, aged 4-10 weeks, who received health care at primary public health centers in Chile, were randomly assigned to the experimental (EG, n = 65) or control (CG, n = 63) groups; data of 104 of them (53 and 51, respectively) was analyzed. We used percentages and rates to measure feasibility outcomes and mixed analysis of variance (ANOVA) and latent class analyses (LCA) to assess preliminary effectiveness. Participants completed questionnaires on mental health, social support, and maternal self-efficacy upon recruitment and 3 months after completing the intervention. For the qualitative component, 12 women from the EG were interviewed. RESULTS: Quantitative results show good feasibility outcomes, such as high recruitment (82%), low attrition (EG = 12% and CG = 17%), and high follow-up (EG = 97% and CG = 91%) rates. Qualitative results indicate high acceptability and perceived usefulness of m-WWWT. Mixed ANOVA did not show significant differences between the groups (all p >.05). However, multinomial regression analysis in LCA showed that women with low baseline symptoms of depression and anxiety benefit from the intervention (B = 0.43, 95% confidence interval 1.09-2.16). CONCLUSION: m-WWWT is feasible to be implemented in Chile; future studies are needed to assess the intervention's effectiveness.

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Introduction and Objective: In most cases, due to the failure of nonsurgical methods in the treatment of diseases related to the colon, it is necessary to perform colostomy as the main treatment method. However, this surgery can cause a wide range of physical, social, and psychological problems in patients. Therefore, in order to prevent and treat the complications of colostomy, it is necessary to adopt measures in the field of self-care and continuous education for patients to control the complications of the disease, seek treatment, and experience improvements in their quality of life. Additionally, considering the role of mobile health (mHealth) applications in facilitating continuous and effective training, and improving self-care for these patients, the aim of the present study was to design and evaluate an mHealth application for self-care of colostomy patients. Materials and Methods: In the present applied research, first the functional requirements of the software were determined considering the self-care requirements of colostomy patients. Then, the software was designed based on object-oriented analysis, and according to it, the application was coded in Java and developed in the Android Studio environment. Finally, to evaluate the software, the opinions and comments of 5 gastroenterologists and 10 adult colostomy patients in the age range between 27 and 64 years who had at least a high school diploma were used as the basis of judgment at this stage. The instruments used in the evaluation included a checklist, derived from three standard questionnaires (the System Usability Scale [SUS], the mHealth App Usability Questionnaire [MAUQ], and the User Version of the Mobile Application Rating Scale [uMARS]) to measure the user-friendliness indicator, and a researcher-made checklist to measure the performance indicator of the various services provided. Results The services of the software developed include the provision of medical information and self-care instructions regarding colostomy surgery, as well as alerts for the user to schedule an appointment with a doctor and the time to take medications. Based on the results of the evaluation stage, the users were generally satisfied with the interface, services, and general features of the software. In general, the software was evaluated at the "acceptable" level, with a rate of 85%. Discussion and Conclusion Based on the findings of the current research, thesoftware developed can be significantly effective in facilitating the education of colostomy patients and improving their self-care. Proper and continuous self-care and education for colostomy patients is necessary to prevent and control complications resulting from surgery and to improve their quality of life. Therefore, in addition to patients, all health care staff, organizations, and associations which support colostomy patients can also use this software to educate patients and improve the care provided to them. (AU)

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