Electronic Glycemic Management System Improved Glycemic Control and Reduced Complications in Patients With Diabetes Undergoing Coronary Artery Bypass Surgery: A Randomized Controlled Trial.

BACKGROUND: In-hospital hyperglycemia poses significant risks for patients with diabetes mellitus undergoing coronary artery bypass graft (CABG) surgery. Electronic glycemic management systems (eGMSs) like InsulinAPP offer promise in standardizing and improving glycemic control (GC) in these settings. This study evaluated the efficacy of the InsulinAPP protocol in optimizing GC and reducing adverse outcomes post-CABG. METHODS: This prospective, randomized, open-label study was conducted with 100 adult type 2 diabetes mellitus (T2DM) patients post-CABG surgery, who were randomized into two groups: conventional care (gCONV) and eGMS protocol (gAPP). The gAPP used InsulinAPP for insulin therapy management, whereas the gCONV received standard clinical care. The primary outcome was a composite of hospital-acquired infections, renal function deterioration, and symptomatic atrial arrhythmia. Secondary outcomes included GC, hypoglycemia incidence, hospital stay length, and costs. RESULTS: The gAPP achieved lower mean glucose levels (167.2 ± 42.5 mg/dL vs 188.7 ± 54.4 mg/dL; P = .040) and fewer patients-day with BG above 180 mg/dL (51.3% vs 74.8%, P = .011). The gAPP received an insulin regimen that included more prandial bolus and correction insulin (either bolus-correction or basal-bolus regimens) than the gCONV (90.3% vs 16.7%). The primary composite outcome occurred in 16% of gAPP patients compared with 58% in gCONV (P < .010). Hypoglycemia incidence was lower in the gAPP (4% vs 16%, P = .046). The gAPP protocol also resulted in shorter hospital stays and reduced costs. CONCLUSIONS: The InsulinAPP protocol effectively optimizes GC and reduces adverse outcomes in T2DM patients' post-CABG surgery, offering a cost-effective solution for inpatient diabetes management.

Patient satisfaction and digital health in primary health care: a scoping review protocol.

Introduction: Using digital health in primary health care (PHC) contributes to reducing costs and travel time, achieving global development goals, improving access, quality and longitudinality of care, and managing health crises. Its evaluation must go beyond the technical-operational aspects to include patient satisfaction, a key element in assessing the quality of care. Objective: To identify and map patient satisfaction (expectations, desires, cultural values) about the adoption of digital health strategies and assess their impact on the quality of care in PHC. Methods: The review will follow the recommendations proposed by the Joanna's Briggs Institute (JBI) manual, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) and the methodology proposed by Arksey and O'Malley and Levac et al. and will be conducted in nine stages. The search will be conducted in health studies databases (MEDLINE via PubMed, EMBASE, CINAHL, Web of Science, and BVS), gray literature, and preprint repositories (Google Scholar and MedRxiv). Two reviewers will select the studies, and the third will analyze possible conflicts. The inclusion criteria comprise studies that have been made available in their entirety, whether they are primary studies or short communications, as well as the following materials extracted from the gray literature: preprints, manuals, government documents, books, guidelines, theses and dissertations. Exclusion criteria include literature reviews, abstracts, books, conference archives, letters to the editor, duplicates and opinion articles. Data will be analyzed by content analysis and inferential statistics. This protocol is registered on the Open Science Framework (OSF) under DOI 10.17605/OSF.IO/PUJDB. Results: The study aims to understand aspects related to the expectations, desires, and cultural values of patients from different countries, as well as the strengths and critical nodes of the use of digital health on the quality of care in PHC.

Preparation and validation of the instrument "QualiAPS digital-Brazil" for assessing digital health care in primary health care: a required tool.

Introduction: The use of Information and Communication Technologies in the field of health is increasing across the world, demarcating the field of digital health. The goal of this study is to formulate and validate a matrix of indicators, design assessment scripts and indicate data collection techniques for assessing the quality of digital health care in Brazilian Primary Health Care (PHC). Methodology: This is a validation study divided into three phases: preparation of the instrument, analysis of validity and pilot study. The instrument was prepared based on the PHC assessment model from a literature review; the analysis of validity used the Delphi technique associated with the nominal group and the evidence from the literature reference. In the pilot study, audio-recorded interviews were conducted with strategic primary care actors. Results: The matrix of indicators "QualiAPS Digital-Brazil" introduces a set of 37 indicators, distributed into three distinct components and their respective dimensions. The component "Structure" includes the dimension "Resources"; the component "Processes" includes the dimensions "Technical," "Organizational" and "Relational"; and the component "Results" includes the dimensions "Short-Term Results" and "Medium-Term Results." The general values obtained for CVI and IRR were 0.89 and 1.00; respectively. Therefore, it was possible to design assessment scripts and indicate qualitative data collection techniques for assessing digital health in Brazilian PHC. Conclusion: The instrument presented was validated regarding its relevance, content and theoretical support to evaluate the quality of digital health care, supporting decision-making by managers and health professionals in the search for improving remote primary care provided to the population.

Digital home care interventions and quality of primary care for older adults: a scoping review.

BACKGROUND: Population aging is forcing the transformation of health care. Long-term care in the home is complex and involves complex communication with primary care services. In this scenario, the expansion of digital health has the potential to improve access to home-based primary care; however, the use of technologies can increase inequalities in access to health for an important part of the population. The aim of this study was to identify and map the uses and types of digital health interventions and their impacts on the quality of home-based primary care for older adults. METHODS: This is a broad and systematized scoping review with rigorous synthesis of knowledge directed by the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The quantitative data were analyzed through descriptive statistics, and the qualitative data were analyzed through basic qualitative content analysis, considering the organizational, relational, interpersonal and technical dimensions of care. The preliminary results were subjected to consultation with stakeholders to identify strengths and limitations, as well as potential forms of socialization. RESULTS: The mapping showed the distribution of publications in 18 countries and in the Sub-Saharan Africa region. Older adults have benefited from the use of different digital health strategies; however, this review also addresses limitations and challenges, such as the need for digital literacy and technological infrastructure. In addition to the impacts of technologies on the quality of health care. CONCLUSIONS: The review gathered priority themes for the equitable implementation of digital health, such as access to home caregivers and digital tools, importance of digital literacy and involvement of patients and their caregivers in health decisions and design of technologies, which must be prioritized to overcome limitations and challenges, focusing on improving quality of life, shorter hospitalization time and autonomy of older adults.

ChatGPT in Urology: Bridging Knowledge and Practice for Tomorrow's Healthcare, a Comprehensive Review.

Background: Among emerging AI technologies, Chat-Generative Pre-Trained Transformer (ChatGPT) emerges as a notable language model, uniquely developed through artificial intelligence research. Its proven versatility across various domains, from language translation to healthcare data processing, underscores its promise within medical documentation, diagnostics, research, and education. The current comprehensive review aimed to investigate the utility of ChatGPT in urology education and practice and to highlight its potential limitations. Methods: The authors conducted a comprehensive literature review of the use of ChatGPT and its applications in urology education, research, and practice. Through a systematic review of the literature, with a search strategy using databases, such as PubMed and Embase, we analyzed the advantages and limitations of using ChatGPT in urology and evaluated its potential impact. Results: A total of 78 records were eligible for inclusion. The benefits of ChatGPT were frequently cited across various contexts. In educational/academic benefits mentioned in 21 records (87.5%), ChatGPT showed the ability to assist urologists by offering precise information and responding to inquiries derived from patient data analysis, thereby supporting decision making; in 18 records (75%), advantages comprised personalized medicine, predictive capabilities for disease risks and outcomes, streamlining clinical workflows and improved diagnostics. Nevertheless, apprehensions were expressed regarding potential misinformation, underscoring the necessity for human supervision to guarantee patient safety and address ethical concerns. Conclusion: The potential applications of ChatGPT hold the capacity to bring about transformative changes in urology education, research, and practice. AI technology can serve as a useful tool to augment human intelligence; however, it is essential to use it in a responsible and ethical manner.

Improvements in technology and the expanding role of time-driven, activity-based costing to increase value in healthcare provider organizations: a literature review.

Objective: This study evaluated the influence of technology on accurately measuring costs using time-driven activity-based costing (TDABC) in healthcare provider organizations by identifying the most recent scientific evidence of how it contributed to increasing the value of surgical care. Methods: This is a literature-based analysis that mainly used two data sources: first, the most recent systematic reviews that specifically evaluated TDABC studies in the surgical field and, second, all articles that mentioned the use of CareMeasurement (CM) software to implement TDABC, which started to be published after the publication of the systematic review. The articles from the systematic review were grouped as manually performed TDABC, while those using CM were grouped as technology-based studies of TDABC implementations. The analyses focused on evaluating the impact of using technology to apply TDABC. A general description was followed by three levels of information extraction: the number of cases included, the number of articles published per year, and the contributions of TDABC to achieve cost savings and other improvements. Results: Fourteen studies using real-world patient-level data to evaluate costs comprised the manual group of studies. Thirteen studies that reported the use of CM comprised the technology-based group of articles. In the manual studies, the average number of cases included per study was 160, while in the technology-based studies, the average number of cases included was 4,767. Technology-based studies, on average, have a more comprehensive impact than manual ones in providing accurate cost information from larger samples. Conclusion: TDABC studies supported by technologies such as CM register more cases, identify cost-saving opportunities, and are frequently used to support reimbursement strategies based on value. The findings suggest that using TDABC with the support of technology can increase healthcare value.

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.

Effect of a Structured Multilevel Telehealth Service on Hospital Admissions and Mortality During COVID-19 in a Resource-Limited Region in Brazil: Retrospective Cohort Study.

BACKGROUND: The COVID-19 pandemic represented a great stimulus for the adoption of telehealth and many initiatives in this field have emerged worldwide. However, despite this massive growth, data addressing the effectiveness of telehealth with respect to clinical outcomes remain scarce. OBJECTIVE: The aim of this study was to evaluate the impact of the adoption of a structured multilevel telehealth service on hospital admissions during the acute illness course and the mortality of adult patients with flu syndrome in the context of the COVID-19 pandemic. METHODS: A retrospective cohort study was performed in two Brazilian cities where a public COVID-19 telehealth service (TeleCOVID-MG) was deployed. TeleCOVID-MG was a structured multilevel telehealth service, including (1) first response and risk stratification through a chatbot software or phone call center, (2) teleconsultations with nurses and medical doctors, and (3) a telemonitoring system. For this analysis, we included data of adult patients registered in the Flu Syndrome notification databases who were diagnosed with flu syndrome between June 1, 2020, and May 31, 2021. The exposed group comprised patients with flu syndrome who used TeleCOVID-MG at least once during the illness course and the control group comprised patients who did not use this telehealth service during the respiratory illness course. Sociodemographic characteristics, comorbidities, and clinical outcomes data were extracted from the Brazilian official databases for flu syndrome, Severe Acute Respiratory Syndrome (due to any respiratory virus), and mortality. Models for the clinical outcomes were estimated by logistic regression. RESULTS: The final study population comprised 82,182 adult patients with a valid registry in the Flu Syndrome notification system. When compared to patients who did not use the service (n=67,689, 82.4%), patients supported by TeleCOVID-MG (n=14,493, 17.6%) had a lower chance of hospitalization during the acute respiratory illness course, even after adjusting for sociodemographic characteristics and underlying medical conditions (odds ratio [OR] 0.82, 95% CI 0.71-0.94; P=.005). No difference in mortality was observed between groups (OR 0.99, 95% CI 0.86-1.12; P=.83). CONCLUSIONS: A telehealth service applied on a large scale in a limited-resource region to tackle COVID-19 was related to reduced hospitalizations without increasing the mortality rate. Quality health care using inexpensive and readily available telehealth and digital health tools may be delivered in areas with limited resources and should be considered as a potential and valuable health care strategy. The success of a telehealth initiative relies on a partnership between the involved stakeholders to define the roles and responsibilities; set an alignment between the different modalities and levels of health care; and address the usual drawbacks related to the implementation process, such as infrastructure and accessibility issues.

Miller Fisher's Rules and Digital Health: The Best of Both Worlds.

BACKGROUND: Professor Fisher's legacy, defined by meticulous observation, curiosity, and profound knowledge, has established a foundational cornerstone in medical practice. However, the advent of automated algorithms and artificial intelligence (AI) in medicine raises questions about the applicability of Fisher's principles in this era. Our objective was to propose adaptations to these enduring rules, addressing the challenges and leveraging the opportunities presented by digital health. SUMMARY: The adapted rules we propose advocate for the harmonious integration of traditional bedside manners with contemporary technological advancements. The judicious use of advanced devices for patient examination, recording, and sharing, while upholding patient confidentiality, is pivotal in modern practice and academic research. Additionally, the strategic employment of AI tools at the bedside, to aid in diagnosis and hypothesis generation, underscores their role as valued complements to clinical reasoning. These adapted rules emphasize the importance of continual learning from experience, literature, and colleagues, and stress the necessity for a critical approach toward AI-derived information, which further consolidates clinical skills. These aspects underscore the perpetual relevance of Professor Fisher's rules, advocating not for their replacement but for their evolution. Thus, a balanced methodology that adeptly utilizes the strengths of AI and digital tools, while steadfastly maintaining the core humanistic values, arises as essential in the modern practice of medicine. KEY MESSAGES: A commitment between traditional medical wisdom and modern technological capabilities may enhance medical practice and patient care. This represents the future of medicine - a resolute commitment to progress and technology, while preserving the essence of medical humanities.

Preparing Pharmacists for the Digital Age: How Pharmacy Courses are Adapting to Challenges and Opportunities.

OBJECTIVE: As the digitalization of health accelerates, the fusion of pharmacy and informatics becomes crucial. Pharmacy education must adapt to equip professionals for this evolving landscape. This study aims to compare pharmacy curricula in Brazil and the United States of America, focusing on health informatics, to uncover challenges and opportunities in training pharmacists for the digital era. METHODS: A cross-sectional, descriptive analysis was conducted on pharmacy curricula from leading Brazilian and American universities in early 2024. Two independent researchers collected data, concentrating on health informatics-related courses. Curriculum analysis used the n-gram technique for linguistic pattern identification in course descriptions. RESULTS: The analysis included curricula from 147 Brazilian and 140 American institutions. American programs had more health informatics courses, with greater integration into pharmacy and higher workloads. Brazilian courses were fewer, less specialized, and less integrated with pharmacy practice. Bi-gram analysis showed that the United States emphasized pharmaceutical practice and technologies, while Brazil focused more broadly on public health. Challenges include Brazil's slower integration of health informatics, impacting competitiveness. The study highlights opportunities to enhance curricula in both countries, emphasizing the importance of health informatics courses. CONCLUSION: US pharmacy programs are further developed by providing specialized, high-quality digital health education with extensive coursework, reflecting a curriculum aligned with digital advancements. This stands in stark contrast to Brazilian programs, which show a need for comprehensive curriculum revision to effectively prepare pharmacists for the digital age. This study underscores the urgency for global pharmacy education reform and its alignment with the rapid evolution of digital health.

Telemedicine in HIV health care during the COVID-19 pandemic: An implementation research study in Buenos Aires, Argentina.

BACKGROUND: From October 2020 to October 2022, we conducted an implementation study to offer telemedicine (TM) across four HIV units of general public hospitals in Buenos Aires. The intervention used TM to provide a continuum of care to patients with HIV. METHODS AND SETTING: We used the RE-AIM framework to evaluate the strategy. The study started during a COVID-19 outbreak with strict lockdown policies and continued until return to normal practices. Implementation facilitation served as the core implementation strategy. RESULTS: We reached 4118 patients (58% of eligible individuals), and the main perceived benefits were the ability to avoid exposure to infectious diseases and reduced travel time and cost. After a median of 515 days of follow-up, 95.7% of participants with HIV were receiving antiretroviral therapy, and 87.8% were virally suppressed, with a median CD4+ count of 648 cells/µL. In total, 36.6% reported clinical events, and 20.4% presented with COVID-19 infection. The proportion of physicians adopting TM was 69.37%. After enrolment, 2406 of 5640 (43%) follow-up visits were conducted via TM. By the end of the study, 26.29% of appointments offered in the four centres were through TM, whereas 73.71% were in-person appointments. CONCLUSION: It was feasible to implement TM in the four centres in the public health sector in Buenos Aires, Argentina. It was acceptable for both patients and healthcare workers, and effectively reached a large proportion of the population served in these clinics. Both healthcare workers and patients consider it a model of care that will continue to be offered in the future.

Technology-Supported Guidance Models to Stimulate Nursing Students' Self-Efficacy in Clinical Practice: Scoping Review.

BACKGROUND: In nursing education, bridging the gap between theoretical knowledge and practical skills is crucial for developing competence in clinical practice. Nursing students encounter challenges in acquiring these essential skills, making self-efficacy a critical component in their professional development. Self-efficacy pertains to individual's belief in their ability to perform tasks and overcome challenges, with significant implications for clinical skills acquisition and academic success. Previous research has underscored the strong link between nursing students' self-efficacy and their clinical competence. Technology has emerged as a promising tool to enhance self-efficacy by enabling personalized learning experiences and in-depth discussions. However, there is a need for a comprehensive literature review to assess the existing body of knowledge and identify research gaps. OBJECTIVE: The aim of this study is to systematically map and identify gaps in published studies on the use of technology-supported guidance models to stimulate nursing students' self-efficacy in clinical practice. METHODS: This scoping review followed the framework of Arksey and O'Malley and was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR). A systematic, comprehensive literature search was conducted in ERIC, CINAHL, MEDLINE, Embase, PsycINFO, and Web of Science for studies published between January 2011 and April 2023. The reference lists of the included papers were manually searched to identify additional studies. Pairs of authors screened the papers, assessed eligibility, and extracted the data. The data were thematically organized. RESULTS: A total of 8 studies were included and four thematic groups were identified: (1) technological solutions for learning support, (2) learning focus in clinical practice, (3) teaching strategies and theoretical approaches for self-efficacy, and (4) assessment of self-efficacy and complementary outcomes. CONCLUSIONS: Various technological solutions were adopted in the guidance models to stimulate the self-efficacy of nursing students in clinical practice, leading to positive findings. A total of 7 out of 8 studies presented results that were not statistically significant, highlighting the need for further refinement of the applied interventions. Nurse educators play a pivotal role in applying learning strategies and theoretical approaches to enhance nursing students' self-efficacy, but the contributions of nurse preceptors and peers should not be overlooked. Future studies should consider involving users in the intervention process and using validated instruments tailored to the studies' intervention objectives, ensuring relevance and enabling comparisons across studies.

Diagnostic evaluation of institutions as a basis for designing the Brazilian maturity model of telehealth services.

BACKGROUND: The number and specificities of telehealth service units that expanded their services and diversified with the COVID-19 pandemic in Brazil need to be discovered. The objective of this manuscript is to present a methodology for the diagnostic evaluation of 19 telehealth units from different regions of the country for federal governmental decision-making. METHODS: A cross-sectional quantitative and qualitative study was carried out in the form of a census based on administrative records with an online survey and in-depth interviews with local telehealth managers. RESULTS: Despite the discontinuity of regular funding, the results point to a diversity of initiatives and advances. Citizenship, sustainability, security, and budget management are recurring themes in the maturity analysis of telehealth services after the advent of the pandemic. CONCLUSION: It is necessary for Brazil to build a resilient model of the maturity of telehealth services that contemplates the different regional scenarios.

The potential role of artificial intelligence in the clinical management of Hansen's disease (leprosy).

Missed and delayed diagnoses of Hansen's disease (HD) are making the battle against it even more complex, increasing its transmission and significantly impacting those affected and their families. This strains public health systems and raises the risk of lifelong impairments and disabilities. Worryingly, the three countries most affected by HD witnessed a growth in new cases in 2022, jeopardizing the World Health Organization's targets to interrupt transmission. Artificial intelligence (AI) can help address these challenges by offering the potential for rapid case detection, customized treatment, and solutions for accessibility challenges-especially in regions with a shortage of trained healthcare professionals. This perspective article explores how AI can significantly impact the clinical management of HD, focusing on therapeutic strategies. AI can help classify cases, ensure multidrug therapy compliance, monitor geographical treatment coverage, and detect adverse drug reactions and antimicrobial resistance. In addition, AI can assist in the early detection of nerve damage, which aids in disability prevention and planning rehabilitation. Incorporating AI into mental health counseling is also a promising contribution to combating the stigma associated with HD. By revolutionizing therapeutic approaches, AI offers a holistic solution to reduce the burden of HD and improve patient outcomes.

Statins use for primary prevention of cardiovascular disease: A population-based digitally enabled real-world evidence cross-sectional study in primary care in Brazil.

BACKGROUND: Statins are the main strategy to reduce dyslipidemia-related cardiovascular risk. Nevertheless, there is scarce evidence on the real-world statins use in primary care settings in low-middle-income countries. OBJECTIVE: We conducted a cross-sectional retrospective study using anonymized data routinely collected by community health workers in Brazil aimed to evaluate statin use and associated factors in a primary prevention population with cardiovascular risk enhancers. METHODS: Study population consisted of adults with hypertension, diabetes, and/or dyslipidemia. The primary and secondary outcomes were the proportion of individuals self-reporting statins use on any dose and high-dose statins/high-intensity lipid-lowering therapy (LLT), respectively. RESULTS: Of the 2,133,900 adult individuals in the database, 415,766 (19.5%) were included in the study cohort. From this cohort, 89.1% had hypertension, 28.9% diabetes, and 5.5% dyslipidemia. The mean age was 61.5 (standard deviation 14.5) years, 63.4% were female, and 61.0% were of mixed-race. Only 2.6% and 0.1% of individuals self-reported the use of statins and high-dose statins/high-intensity LLT, respectively. Older age (odds ratio [OR] 1.96; 95% confidence interval [CI] 1.88, 2.05, p < 0.001), living in the South region of Brazil (OR 4.39; 95% CI 3.97, 4.85, p < 0.001), heart failure (OR 2.60; 95% CI 2.33, 2.89, p < 0.001), chronic kidney disease (OR 1.49; 95% CI 1.35, 1.64, p < 0.001), and anti-hypertensive medications use (OR 4.38; 95% CI 4.07, 4.71, p < 0.001) were independently associated with statin use. CONCLUSION: In a real-world evidence study analyzing data routinely collected in a digitized primary care setting, we observed a very low use of statins in a primary prevention population with cardiovascular risk enhancers in Brazil. Socio-demographic factors and co-morbidities were associated with higher statins use rates.

Adolescencia y bienestar digital: herramientas para los profesionales de la salud / Adolescence and Digital Well-being: Tools for Healthcare Professionals

La adolescencia constituye una etapa atravesada por cambios físicos, emocionales y sociales significativos, que incluyen la adquisición de múltiples habilidades. Aumentan los riesgos de sufrir alteraciones mentales, consumo de sustancias, embarazo no deseado, trastornos alimentarios, y se evidencian los efectos negativos del uso inapropiado de las redes sociales. El bienestar digital implica el uso saludable de la tecnología, la protección de la privacidad y la seguridad en línea. Los adolescentes utilizan las redes con la finalidad de identificarse, relacionarse, entretenerse y buscar información. La exposición no regulada conlleva riesgos: acceso a contenido inapropiado, ciberacoso, consumo problemático y fraudes. Desde el ámbito pediátrico, se debe acompañar a los adolescentes para que optimicen el uso de la tecnología y, para ello, es fundamental implementar estrategias multisectoriales para minimizar los riesgos y promover el bienestar de los adolescentes en línea, así como garantizar la alfabetización digital y el acceso equitativo a recursos tecnológicos de calidad y telesalud.

Adolescence is a period characterized by significant physical, emotional, and social changes, including the acquisition of multiple skills. It is also a time when the risks of mental disorders, substance use, unwanted pregnancy, eating disorders, and negative effects of inappropriate social media use manifest greatly. Digital well-being implies the healthy use of technology, the protection of privacy and security online. Adolescents use social media to identify themselves, interact with others, entertain themselves, and seek information. However, risks are present, including access to inappropriate content, cyberbullying, problematic consumption, and fraud. The pediatric field must support adolescents in optimizing their online use. Implementing multisectoral strategies can minimize risks, promote digital literacy, and ensure equitable access to quality technological resources and telehealth, thereby promoting adolescent online well-being.

Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.

During an artificial intelligence (AI)-assisted diabetic retinopathy screening event, we performed a survey on patients´ perceptions on AI. Respondents were individuals with diabetes, mostly followed in primary healthcare with a low education level. While 49.6% of participants said they knew what AI was, only 14% reported good or expert knowledge of AI. The vast majority reported positive feelings towards AI in healthcare. We highlight the importance of understanding patients´ views regarding AI in health in a real-life situation and emphasize the importance of digital education.

Developing and validating a 2D digital version of the Brazilian Children's anxiety questionnaire.

PURPOSE: This study aims to transpose the printed Brazilian Children's Anxiety Questionnaire (CAQ BR) into a 2D digital format, validate it with nurses and hospitalized children, and analyze the association between the printed and 2D digital format versions. DESIGN AND METHOD: This is a descriptive and multicentric study, conducted from 2021 to 2022 on working in pediatric care at two hospitals in Brazil. The nurses analyzed the printed and digital instruments and subsequently applied them to a child and proposed suggestions. A cutoff score of 0.80 on the content validity index was used; items that scored an average lower than the CVI in the study were adequate. Eighty children responded to the questionnaires sequentially according to the randomization table. A 90% agreement rate was used. RESULTS: The digital instrument was validated in content by 51 experts, with a CVI of 0.95. Face validation data for 80 children (mean age = 7.9 years) shows a 90% agreement rate. The intraclass correlation index for the general score was 0.87 and 95% CI (0.79-0.91), which shows good stability of the children's responses in both questionnaires. In addition, 59% (n = 47) of the children reported a preference for the digital questionnaire. CONCLUSIONS: The digital CAQ BR can be used as an audiovisual instrument by nurses when implementing the systematization of nursing care in pediatrics. PRACTICAL IMPLICATIONS: The digital 2D version was successfully applied and can be used in hospitals to measure children's self-reported anxiety.

Empowering the digital health workforce in Latin America in the context of the COVID-19 pandemic: the Peruvian case.

The COVID-19 pandemic has exposed significant gaps in healthcare access, quality, and the urgent need for enhancing the capacity of digital health human resources, particularly in Latin America. During the pandemic, online courses and telehealth initiatives supported by governmental agencies, the Pan American Health Organization, and other public and private resources, have played a crucial role in meeting training demands. This article discusses the role of capacity building programs in digital health within the context of Latin America, with a specific focus on the Peruvian case. We highlight the development of digital health competencies and related policies, while also describing selected experiences related to capacity building in this field. Additionally, we discuss the pivotal role of collaborative partnerships among institutions and countries, emphasizing the importance of culturally relevant training programs in digital health. These initiatives have the potential to accelerate training and research opportunities in Latin America, drawing on the involvement of government agencies, non-governmental organizations, industry, universities, professional societies, and communities.