Psico Bot: a robot for psychological assessment of children and adolescents

Chatbots can use fast, and sometimes specialized interactions in different situations, making them an option in the choice of tools to collect information. In the psychological assessment of children and adolescents, they can act as complementary sources, and help to describe, qualify and measure psychological and behavioral characteristics, in its various forms of expression, in different contexts. This study aimed to present Psico Bot, a chatbot developed to assess symptoms of anxiety and depression in children and adolescents. Consisting of 20 questions that map physical and psychological symptoms of the selected constructs, it was developed through the natural language Dialogflow for use in the Google Assistant conversation platform. The design of Psico Bot is based on a neutral representation, with no determined gender or age, facilitating quick identification by the user. Based on the use of multimethod evaluations, the Psico Bot can offer relevant information about the mental health of children and adolescents using language and devices that are easy to understand and handle by this population. For the evaluator, the tool offers quick response and specific information about each construct, enabling more effective interventions in elements of greatest need.

Chatbots podem utilizar-se de interações rápidas, e por vezes, especializada em diferentes situações, tornando-os uma opção na escolha de ferramentas para coletar informações. Na avaliação psicológica de crianças e adolescentes, podem atuar como fontes complementares, e auxiliar a descrever, qualificar e mensurar características psicológicas e comportamentais, nas suas diversas formas de expressão, em diferentes contextos. Este estudo objetivou apresentar o Psico Bot, um chatbot desenvolvido para avaliar sintomas de ansiedade e depressão em crianças e adolescentes. Composto por 20 questões que mapeiam sintomas físicos e psicológicos dos constructos selecionados, sendo desenvolvido por meio da linguagem natural Dialogflow para uso na plataforma de conversação Google Assistente, o design do Psico Bot pauta-se em representação neutra, sem sexo ou idade determinados, facilitando a rápida identificação do usuário. Respaldando-se na utilização de multimétodos avaliativos, o Psico Bot pode oferecer informações relevantes sobre a saúde mental de crianças e adolescentes utilizando linguagem e dispositivos de fácil compreensão e manuseio por essa população. Para o avaliador, a ferramenta oferece resposta rápida e informações específicas sobre cada constructo, possibilitando intervenções mais efetivas em elementos de maior necessidade.

Los chatbots pueden utilizar interacciones rápidas y, a veces especializadas, en diferentes situaciones, lo que los convierte en una opción en la elección de herramientas para recopilar información. En la evaluación psicológica de niños y adolescentes pueden actuar como fuentes complementarias y ayudar a describir, calificar y medir las características psicológicas y de comportamiento en sus diversas formas de expresión en diferentes contextos. Este estudio tuvo como objetivo presentar Psico Bot, un chatbot desarrollado para evaluar síntomas de ansiedad y depresión en niños y adolescentes. Compuesto por 20 preguntas que mapean síntomas físicos y psicológicos de los constructos seleccionados, fue desarrollado mediante el lenguaje natural Dialogflow para su uso en la plataforma de conversación Google Assistant. El diseño de Psico Bot se basa en una representación neutra, sin género ni edad determinados, lo que facilita la rápida identificación por parte del usuario. A partir del uso de evaluaciones multimétodo, Psico Bot puede ofrecer información relevante sobre la salud mental de niños y adolescentes utilizando un lenguaje y dispositivos de fácil comprensión y manejo para esta población. Para el evaluador, la herramienta ofrece una respuesta rápida e información específica sobre cada constructo, lo que permite intervenciones más eficaces en los elementos de mayor necesidad.

Health effects and user perceptions of the US Customs and Border Patrol One™ mobile application: A qualitative analysis among asylum seekers at the Mexico-US border.

Background: The number of migrants at the Mexico-US border has increased to historic levels, and frequently changing immigration policy impacts this population as they await entry into the US. This study evaluated the usability and health effects of the Customs and Border Protection (CBP) One™ mobile application among asylum seekers near the US port of entry in Reynosa, Mexico. Methods: We conducted semi-structured qualitative interviews with 20 asylum seekers in Reynosa, Mexico, in February 2023. Our objective was to explore the subjective experiences of migrants, usability of CBP One™, and presence of perceived health effects from using the application. Interviews were conducted until saturation occurred, transcribed verbatim into Word, coded in NVivo using a validated, team-based coding methodology, and analyzed according to internal domains, external domains, and health effects regarding CBP One™. Results: Twenty participants originated from eight countries throughout Latin America and the Caribbean. In total, 18 subthemes were identified among internal, external, and effects domains. Internal themes included a confusing application interface (80%), technical malfunction (60%), and perceived racial bias from the photo-capture features (15%). External themes challenging CBP One™ use included unavailable appointment slots (80%), inequity and inaccessibility (35%), and inadequate internet (25%). Most perceived effects were negative (85%), including worsening mental health effects (40%), exacerbation of pre-existing physical conditions (35%), and forgoing health expenditures to pay for internet (25%). Conclusions: Our findings suggest that asylum seekers at the Reynosa port of entry perceive CBP One™ negatively, with detrimental effects towards their mental and physical health. This study highlights how immigration policy can influence health and suggests that more creative and humane approaches are needed for people seeking asylum at the Mexico-US border.

Exploring barriers and facilitators to feeding children with minimal or no "Junk Food": Insights from Mexican women.

OBJECTIVE: This study aims to investigate the factors that promote or hinder the feeding of children with minimal or no ultra-processed products to inform the design of an mHealth strategy in Mexico and prevent child malnutrition among the economically vulnerable. METHODS: An exploratory qualitative study was conducted, involving 24 in-depth face-to-face interviews with caregivers of children aged 24-59 months from both urban and rural communities. To analyze the data, we used thematic analysis and incorporated a few elements of grounded theory. RESULTS: More barriers than facilitators were identified. Key barriers included: misconceptions and the widespread availability of junk food through an extensive network of grocery stores; neighbors and family gifting junk food; the association of soda with celebrations; the practice of indulging children with junk food; and the normalization of junk food consumption by both adults and children. Facilitators included: caregivers' awareness of the health risks associated with junk food; economic constraints limiting junk food purchases; support from husbands in regulating children's junk food consumption; the presence of a family member with diabetes; specific cultural beliefs about children's digestive health; as well as displacement of "healthy" foods that nourish children. CONCLUSION: Based on our findings, we formulated recommendations for interventions at intrapersonal, interpersonal, organizational, community, and public policy levels to support healthier feeding practices for children.

Development and Testing of the WiseApp for Improving Medication Adherence Among Spanish Speakers.

There is evidence to support the use of mHealth tools for improving medication adherence. Building on this evidence, our study team culturally adapted and translated the WiseApp for improving antiretroviral medication adherence in Spanish-speaking persons with HIV. We are currently conducting a multi-site randomized controlled trial (RCT) to test the effectiveness and sustainability of the WiseApp for Spanish speakers in New York City and the Dominican Republic.

Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis.

BACKGROUND: The widespread use of mobile technologies in health care (mobile health; mHealth) has facilitated disease management, especially for chronic illnesses such as diabetes. mHealth for diabetes is an attractive alternative to reduce costs and overcome geographical and temporal barriers to improve patients' conditions. OBJECTIVE: This study aims to reveal the dynamics of scientific publications on mHealth for diabetes to gain insights into who are the most prominent authors, countries, institutions, and journals and what are the most cited documents and current hot spots. METHODS: A scientometric analysis based on a competitive technology intelligence methodology was conducted. An innovative 8-step methodology supported by experts was executed considering scientific documents published between 1998 and 2021 in the Science Citation Index Expanded database. Publication language, publication output characteristics, journals, countries and institutions, authors, and most cited and most impactful articles were identified. RESULTS: The insights obtained show that a total of 1574 scientific articles were published by 7922 authors from 90 countries, with an average of 15 (SD 38) citations and 6.5 (SD 4.4) authors per article. These documents were published in 491 journals and 92 Web of Science categories. The most productive country was the United States, followed by the United Kingdom, China, Australia, and South Korea, and the top 3 most productive institutions came from the United States, whereas the top 3 most cited articles were published in 2016, 2009, and 2017 and the top 3 most impactful articles were published in 2016 and 2017. CONCLUSIONS: This approach provides a comprehensive knowledge panorama of research productivity in mHealth for diabetes, identifying new insights and opportunities for research and development and innovation, including collaboration with other entities, new areas of specialization, and human resource development. The findings obtained are useful for decision-making in policy planning, resource allocation, and identification of research opportunities, benefiting researchers, health professionals, and decision makers in their efforts to make significant contributions to the advancement of diabetes science.

Evaluating the implementation of a hypertension program based on mHealth and community pharmacies integration to primary care centers at a municipality level in Argentina during the COVID-19 pandemic.

Introduction: While pharmacists-led interventions in hypertension have proven effective in high-income countries, their implementation and impact in low- and middle-income countries (LMIC) remain limited. This study assessed the implementation and outcomes of the hypertension program FarmaTeCuida (FTC), which integrated community pharmacies into the public primary care level using information and communication technologies. The study took place during the pandemic in General Pueyrredón, Buenos Aires, Argentina, so modifications to the implementation strategy and expected outcomes were also analyzed. Methods: A mixed-methods study was conducted using the non-adoption, abandonment, scaling-up, dissemination, and sustainability (NASSS) conceptual model. Qualitative in-depth interviews were conducted with key stakeholders using snowball sampling until thematic saturation was achieved. The quantitative approach employed a quasi-experimental, prospective, longitudinal design in a cohort of hypertensive patients enrolled in the FTC program since October 2020 to March 2022. Adoption, access, adherence to follow-up, and blood pressure levels were assessed. Clinical outcomes were compared to a cohort of hypertensive patients attending primary health care centers (PHCCs) in 2021 but not enrolled in the FTC program. Routine data from this cohort was obtained from the municipal health information system (HIS). Results: Out of 33 PHCCs, 23 adopted the FTC program, but only four collaborated with community pharmacies. A total of 440 patients were recruited, with 399 (91%) enrolled at PHCCs. Hypertension was detected in 63% (279/440) of cases at the first visit (113 were possible hypertensive patients; 26 new hypertensive patients and 140 already diagnosed). During follow-up, FTC identified 52 new hypertensive patients (12% out of 440). Reduction of systolic blood pressure (SBP) was observed in patients enrolled in both the FTC program and the comparison group over 60 days. In the multivariate analysis that included all hypertensive patient (FTC and HIS) we found strong evidence that for each month of follow up, SBP was reduced by 1.12 mmHg; however, we did not find any significant effect of the FTC program on SBP trend (interaction FTC*months has a p-value = 0.23). The pandemic was identified as the main reason for the program's underperformance; in addition we identified barriers related to technology, patient suitability, implementation team characteristics, and organizational factors. Discussion: Our study, grounded in the NASSS model, highlights the profound complexity of introducing innovative strategies in low- and middle-income settings. Despite substantial challenges posed by the pandemic, these obstacles provided valuable insights, identified areas for improvement, and informed strategies essential for reshaping the care paradigm for conditions like hypertension in resource-constrained environments.

eHealth and mHealth in Antimicrobial Stewardship to Reduce Mortality in Empirical Antimicrobial Therapy and a Systematic Review with a Meta-Analysis of Adequate Therapy.

The urgent requirement for swift diagnostic methods in pathogen identification and antimicrobial susceptibility testing is emphasized by rising bacterial resistance and limited treatment options, which are particularly critical in sepsis management. The shift from traditional phenotype-based methods to rapid molecular and mass spectrometry techniques has significantly reduced result turnaround times, enhancing patient outcomes. In this systematic review with meta-analysis, the aspects of correct empirical antimicrobial therapy are evaluated to determine their impact on mortality. We performed a systematic review and meta-analysis on EMBASE, the Cochrane Library, Web of Science, and MEDLINE. Studies evaluating mortality associated with empirical adequate and inadequate therapy in different sites of infection were included. Outcomes included clinical cures in microbiologically evaluable patients. Among the sites of infection, the most studied were bloodstream infections (n = 9), followed by respiratory tract infections (n = 5), intra-abdominal infections (n = 5), and urinary tract infections (evaluated by 3 studies). Inadequate therapy was associated with an increase in mortality between 11 and 68%. Technologies to speed up pathogen identification are extremely necessary to reduce mortality.

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.

Bayesian Networks for Prescreening in Depression: Algorithm Development and Validation.

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.

Enhancing public health in developing nations through smartphone-based motor assessment.

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.

A Systematic Review and Meta-analysis of Mobile Health Applications and Telemonitoring in Atopic Dermatitis Self-Management.

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).

Mobile health technologies for workers' health and wellbeing: A systematic search of mHealth applications in Brazil.

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.

Exploring Children's Knowledge of Healthy Eating, Digital Media Use, and Caregivers' Perspectives to Inform Design and Contextual Considerations for Game-Based Interventions in Schools for Low-Income Families in Lima, Peru: Survey Study.

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.

Neonatal jaundice detection in low-resource Mexican settings: possibilities and barriers for innovation with mobile health.

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.

Boosting self-efficacy and improving practices for smoking prevention and cessation among South American cancer care providers with a web-based algorithm.

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.

WhatsApp-based intervention in urban Colombia to support the prevention of arboviral diseases: a feasibility study.

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.

Renal health: Evaluation of the spontaneous use of a new m-health technology and validation of its content to support patients undergoing peritoneal dialysis.

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.

Outcome After Self-Triage App Referral in Urgent Direct-to-Consumer Telemedicine Encounter.

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.

Effectiveness and Implementation of a Text Messaging mHealth Intervention to Prevent Childhood Obesity in Mexico in the COVID-19 Context: Mixed Methods Study.

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.

Is telehealth useful in the management of placenta accreta spectrum in low-resource settings? Results of an exploratory survey.

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.