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.

Prognosis recovery score of apical surgery Guided Bone Regeneration using cone beam computed tomography and digital bioinformatics.

Objective: Guided Bone Regeneration (GBR) is a dental surgical procedure that uses barrier membranes to prevent soft tissue invasion and conduct new bone growth. This study aimed to define a Prognosis Recovery score (PR score) to objectively classify post-surgery responders from non-responder patients who underwent GBR using Cone Beam Computed Tomography (CBCT). Methods: This prospective-observational-longitudinal-cohort study recruited 250 individuals who were assigned to: Conventional-Apical-Surgery (CAS, n = 39), Apical-Surgery using human fascia lata Membrane placement (ASM, n = 42), and Apical-Surgery using human fascia lata Membrane placement and lyophilized allograft Bone powder (ASMB, n = 39); and Apical-Surgery using collagen membrane Porcine origin and Bovine Bone-matrix (ASPBB, n = 130), an independent external validation cohort. Surgery was performed, and evolution was monitored by CBCTs at 0, 6-, 12-, 18-, and 24 months post-surgery. Results: Normalized lesion volumes were calculated, and non-linear time evolution morphology curves were characterized. The three-time evolution bone growth patterns were: a linear tendency (PR0), "S'' shaped log-logistic (PR1), and "C" cellular growth (PR2). The treatment success rates were PR2-46 %, PR2-88 %, and PR2-95 %/PR1-5% for CAS, ASM, and ASMB groups. The xenograft ASPBB counterpart achieved PR2-92 % and PR1-8%. The score PR had a sensitivity, specificity, and accuracy of 100 %. Conclusions: Patients' treatment success can be quantitatively, objectively, and precisely predicted with the Prognosis Recovery score (using only two CBCTs), according to their biological response to allograft or xenograft materials (time-evolution bone growth curves), reducing cost and radiation exposure. Clinical significance: Through digital imaging and bioinformatic analysis of bone regeneration observed in CBCTs, we defined a Prognosis Recovery (PR) score using only two CBCT volume assessments (0 and 6 months). The PR score allowed us to define three time-evolution curves depending on the biomaterials used and to classify patients in a quantitative, objective, and accurate way.

Performance Assessment of Universal Machine Learning Interatomic Potentials: Challenges and Directions for Materials' Surfaces.

Machine learning interatomic potentials (MLIPs) are one of the main techniques in the materials science toolbox, able to bridge ab initio accuracy with the computational efficiency of classical force fields. This allows simulations ranging from atoms, molecules, and biosystems, to solid and bulk materials, surfaces, nanomaterials, and their interfaces and complex interactions. A recent class of advanced MLIPs, which use equivariant representations and deep graph neural networks, is known as universal models. These models are proposed as foundation models suitable for any system, covering most elements from the periodic table. Current universal MLIPs (UIPs) have been trained with the largest consistent data set available nowadays. However, these are composed mostly of bulk materials' DFT calculations. In this article, we assess the universality of all openly available UIPs, namely MACE, CHGNet, and M3GNet, in a representative task of generalization: calculation of surface energies. We find that the out-of-the-box foundation models have significant shortcomings in this task, with errors correlated to the total energy of surface simulations, having an out-of-domain distance from the training data set. Our results show that while UIPs are an efficient starting point for fine-tuning specialized models, we envision the potential of increasing the coverage of the materials space toward universal training data sets for MLIPs.

An Information Model on Pain Management: Cultural Validation and Refinement.

This study aimed to validate and refine an information model on pain management in a Brazilian hospital, considering the institutional culture, using an expert consensus approach. The first stage took place through a computerized questionnaire and Content Validity Index calculation. Pain management attributes were considered validated with 75% consensus among 19 experts. The second stage validated and refined the information model by three experts via an online meeting. Results showed that out of 11 evaluated attributes, five were validated. In the second stage, the inclusion of new attributes was suggested to address institutional culture. The final information model resulted from 23 sets of revised attributes: 12 validated, seven suggested and four not validated. The resulting Brazilian model has the potential to support the implementation of interventions and propose improvements to the institution's electronic system, which can be reused in other institutions.

Mobile Apps to Promote and Motivate Exercise in Adolescents in Mexico: A Systematic Review.

Worldwide, more than 5.4 billion people have a smartphone. Based on this, thousands of Apps are being developed, each one with different functions such as: education, communication, organization, home automatization and exercising. The aim of this study was to analyze the scientific evidence available worldwide on mobile applications to promote and motivate exercise in adolescents. It was carried out following the PRISMA. A total of 483 articles were identified, of which 300 were eliminated. For title 247, for abstract 33 and 20 for other reasons, giving a total of 183 articles to assess their eligibility, 158 were eliminated. Remaining 25 articles, 12 for abstract and 26 for other reasons, giving a total of 6 articles included for the study. The use of Apps aimed at adolescents are tools that can help with personal care and health issues in this group.

Health Informatics: A Challenge for Nurses in Public Health in Rural Mexico.

Health informatics has significantly advanced global technology, yet challenges persist in public health and rural nursing in Mexico due to social inequalities, limited technology access, and suboptimal infrastructure, compounded by the absence of nurse informaticians as viable career options. Overcoming these barriers necessitates international collaboration, empowering Mexican nurses to contribute to universal health access and advocate for health equity. Interventions must extend beyond nursing curricula to existing workforces, ensuring they can address the needs of vulnerable populations in Mexico. Long-term international support is crucial to bridge these gaps and unleash the full potential of Mexican nurses in influencing global health.

Brazilian-Portuguese Version of My Strengths My Health System: A Methodological Study.

My Strengths My Health (MSMH) is a simplified version of the Omaha System developed for the use of patients and their caregivers. Its main objective is to enable a whole-person assessment with the participation of the patients in understanding the concepts that comprise their care plan. Since 2021, we joined a worldwide initiative to translate MSMH to other languages and this paper reports the Brazilian experience in 3 stages, developed from January 2022 to December 2023: translation and back translation of terms, its validation by freshman nursing students and its adoption by patients at an outpatient facility. Among the results, we highlight the patients' comments on the perceived ease of use of the system. MSMH adoption by caregivers and populations of different cultures and languages can amplify the comprehension of biological, psychological, social, spiritual and environmental determinants of health worldwide specially if issues on digital health literacy are considered.

Omaha System: An Integrative Literature Review from 2012 to 2022.

The Omaha System has been providing a useful clinical documentation structure for health practice, education, and research since 1975. To understand its current applications, we updated a literature review from 2013, using the same descriptors ('Omaha System') which resulted in 559 documents. After applying filters and different forms of screening, 35 papers published from 2012 to 2022 composed the final sample for the review. From its critical analysis we realized that the Omaha System is still a valuable tool for the evaluation of health care outcomes in a variety of settings. Its benefits include promoting communication, supporting evidence-based dec;ision-making, and improving the quality of care and it is interoperable with other classifications and terminologies in healthcare. The use of the Omaha System still enables a consistent integration between patient, community, and health professionals, ensuring the collection and analysis of data that contributes to holistic care in a multidisciplinary approach.

Health Information System Strengthening During Antenatal Care in Haiti: Continuous Quality Improvement Study.

BACKGROUND: Journey to 9 Plus (J9) is an integrated reproductive, maternal, neonatal, and child health approach to care that has at its core the goal of decreasing the rate of maternal and neonatal morbidity and mortality in rural Haiti. For the maximum effectiveness of this program, it is necessary that the data system be of the highest quality. OpenMRS, an electronic medical record (EMR) system, has been in place since 2013 throughout a tertiary referral hospital, the Hôpital Universitaire de Mirebalais, in Haiti and has been expanded for J9 data collection and reporting. The J9 program monthly reports showed that staff had limited time and capacity to perform double charting, which contributed to incomplete and inconsistent reports. Initial evaluation of the quality of EMR data entry showed that only 18% (58/325) of the J9 antenatal visits were being documented electronically at the start of this quality improvement project. OBJECTIVE: This study aimed to improve the electronic documentation of outpatient antenatal care from 18% (58/325) to 85% in the EMR by J9 staff from November 2020 to September 2021. The experiences that this quality improvement project team encountered could help others improve electronic data collection as well as the transition from paper to electronic documentation within a burgeoning health care system. METHODS: A continuous quality improvement strategy was undertaken as the best approach to improve the EMR data collection at Hôpital Universitaire de Mirebalais. The team used several continuous quality improvement tools to conduct this project: (1) a root cause analysis using Ishikawa and Pareto diagrams, (2) baseline evaluation measurements, and (3) Plan-Do-Study-Act improvement cycles to document incremental changes and the results of each change. RESULTS: At the beginning of the quality improvement project in November 2020, the baseline data entry for antenatal visits was 18% (58/325). Ten months of improvement strategies resulted in an average of 89% (272/304) of antenatal visits documented in the EMR at point of care every month. CONCLUSIONS: The experiences that this quality improvement project team encountered can contribute to the transition from paper to electronic documentation within burgeoning health care systems. Essential to success was having a strong and dedicated nursing leadership to transition from paper to electronic data and motivated nursing staff to perform data collection to improve the quality of data and thus, the reports on patient outcomes. Engaging the nursing team closely in the design and implementation of EMR and quality improvement processes ensures long-term success while centering nurses as key change agents in patient care systems.

Diagnosis in Bytes: Comparing the Diagnostic Accuracy of Google and ChatGPT 3.5 as an Educational Support Tool.

BACKGROUND: Adopting advanced digital technologies as diagnostic support tools in healthcare is an unquestionable trend accelerated by the COVID-19 pandemic. However, their accuracy in suggesting diagnoses remains controversial and needs to be explored. We aimed to evaluate and compare the diagnostic accuracy of two free accessible internet search tools: Google and ChatGPT 3.5. METHODS: To assess the effectiveness of both medical platforms, we conducted evaluations using a sample of 60 clinical cases related to urological pathologies. We organized the urological cases into two distinct categories for our analysis: (i) prevalent conditions, which were compiled using the most common symptoms, as outlined by EAU and UpToDate guidelines, and (ii) unusual disorders, identified through case reports published in the 'Urology Case Reports' journal from 2022 to 2023. The outcomes were meticulously classified into three categories to determine the accuracy of each platform: "correct diagnosis", "likely differential diagnosis", and "incorrect diagnosis". A group of experts evaluated the responses blindly and randomly. RESULTS: For commonly encountered urological conditions, Google's accuracy was 53.3%, with an additional 23.3% of its results falling within a plausible range of differential diagnoses, and the remaining outcomes were incorrect. ChatGPT 3.5 outperformed Google with an accuracy of 86.6%, provided a likely differential diagnosis in 13.3% of cases, and made no unsuitable diagnosis. In evaluating unusual disorders, Google failed to deliver any correct diagnoses but proposed a likely differential diagnosis in 20% of cases. ChatGPT 3.5 identified the proper diagnosis in 16.6% of rare cases and offered a reasonable differential diagnosis in half of the cases. CONCLUSION: ChatGPT 3.5 demonstrated higher diagnostic accuracy than Google in both contexts. The platform showed satisfactory accuracy when diagnosing common cases, yet its performance in identifying rare conditions remains limited.

Oral Health Education for Children: Development of a Serious Game with a User-Centered Design Approach.

Background: Children can learn efficiently with well-designed serious games. The use of applications to promote health has proliferated, but there is a lack of scientific studies on educational games in oral health. Materials and Methods: We developed the Brazilian version of a British and Jordanian oral health education game for children from the perspectives of Brazilian specialists and users. This descriptive study, with a qualitative and quantitative approach, comprised three phases: I-Experts' discussion of the appropriateness of the previous version of the game to Brazil; II-Development of the first Brazilian version of the game; and III-Evaluation of the first version with 15 children from 4 to 8 years of age. Results: In Phase I, the specialists agreed with the development of the Brazilian version of the game, with minor adjustments on: advice on eating; advice on oral hygiene habits, users' age group, game characters, and game purpose. Phase II: a version with a few changes in images and recommendations, written and spoken in Brazilian Portuguese. Phase III: The global average of correct answers in the game's tasks was 75.3%, ranging from 50.0% to 100%. Children reported having fun with the game, and most understood the content and its interface; their parents found the information relevant and enjoyed the gameplay with their children. Conclusions: The Oral Health Education Game offered basic information for preventing dental caries to Brazilian children aged 4-8 years old in an interactive and fun way; it could support professionals in improving oral health education.

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.

Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis.

Prognosticating Amyotrophic Lateral Sclerosis (ALS) presents a formidable challenge due to patients exhibiting different onset sites, progression rates, and survival times. In this study, we have developed and evaluated Machine Learning (ML) algorithms that integrate Ensemble and Imbalance Learning techniques to classify patients into Short and Non-Short survival groups based on data collected during diagnosis. We aimed to identify individuals at high risk of mortality within 24 months of symptom onset through analysis of patient data commonly encountered in daily clinical practice. Our Ensemble-Imbalance approach underwent evaluation employing six ML algorithms as base classifiers. Remarkably, our results outperformed those of individual algorithms, achieving a Balanced Accuracy of 88% and a Sensitivity of 96%. Additionally, we used the Shapley Additive Explanations framework to elucidate the decision-making process of the top-performing model, pinpointing the most important features and their correlations with the target prediction. Furthermore, we presented helpful tools to visualize and compare patient similarities, offering valuable insights. Confirming the obtained results, our approach could aid physicians in devising personalized treatment plans at the time of diagnosis or serve as an inclusion/exclusion criterion in clinical trials.

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

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

Tecnologia educativa para disseminação do programa Fall TIPS Brasil / Educational technology for disseminating the Fall TIPS Brasil program

Resumo: Esta tese integra o projeto de pesquisa e desenvolvimento tecnológico "Difusão e adoção do programa Fall Tailoring Interventions for Patient Safety (Fall TIPS): engajamento de pacientes, profissionais e liderança clínica para a prevenção de quedas em ambiente hospitalar". Está conectada à linha de Pesquisa de Gerenciamento de Serviços de Saúde e Enfermagem do Programa de Pós-Graduação em Enfermagem da Universidade Federal do Paraná e objetivou construir, de maneira colaborativa, uma tecnologia educativa em formato de Curso Massivo, Aberto e Online (MOOC) sobre o programa Fall TIPS Brasil para a prevenção de quedas hospitalares, valendo-se de recursos variados, como infográficos, vídeos, podcasts e jogos interativos, destinada à disseminação da proposta entre profissionais e estudantes da área da saúde; e verificar o aprendizado estatisticamente significativo em relação ao conhecimento dos cursistas antes e após o seu acesso. Primeiramente ocorreu o processo de construção do MOOC com colaboração multidisciplinar, envolvendo docentes, estudantes de graduação e pós-graduação, profissionais de saúde e do setor de ensino a distância da universidade participante, fase de desenvolvimento tecnológico. Após, a abordagem quase experimental não randomizada e não concorrente foi realizada com 21 estudantes do último período do curso de graduação em enfermagem de uma universidade pública, tendo sido submetidos a um questionário contendo 10 questões objetivas antes e após o acesso ao MOOC. Os dados foram analisados mediante estatística descritiva e analítica. A construção do MOOC foi iniciada em 2020, com a primeira edição lançada em outubro de 2023. As etapas observadas na sua elaboração incluíram a escolha do tema, a produção do curso, a avaliação preliminar e a divulgação. O conhecimento dos cursistas após o acesso foi significativamente (p <0,001) maior, quando comparado com os resultados antes do acesso. A média das notas antes do acesso ao curso foi 7,1 e, após, foi 8,9. As evidências encontradas demonstram o sucesso da intervenção. O desenvolvimento do MOOC de maneira colaborativa, o direcionamento dos materiais para o público-alvo respeitando suas dificuldades e potencialidades permitem aderência a proposta, contribuindo para que a intervenção possibilite a ampliação do conhecimento sobre o programa Fall TIPS Brasil. Assim, destaca-se a importância de os profissionais de saúde possuírem conhecimento para poderem promover o engajamento dos pacientes e acompanhantes em prol da prevenção de quedas, sendo o MOOC um recurso promissor para essa finalidade.

Abstract: This thesis integrates the research and technological development project "Diffusion and adoption of the Fall Tailoring Interventions for Patient Safety (Fall TIPS) program: engagement of patients, professionals, and clinical leadership for the prevention of falls in the hospital environment." It is connected to the Research Line in Health Services Management and Nursing of the Graduate Program in Nursing at the Federal University of Paraná and aimed to collaboratively construct an educational technology in the form of a Massive Open Online Course (MOOC) on the Fall TIPS Brazil program for the prevention of hospital falls, utilizing various resources such as infographics, videos, podcasts, and interactive games, intended for disseminating the proposal among healthcare professionals and students; and to verify statistically significant learning regarding the knowledge of the participants before and after accessing the course. First, the process of building the MOOC occurred through multidisciplinary collaboration, involving faculty, undergraduate and graduate students, healthcare professionals, and the university's distance education sector, in the phase of technological development. Subsequently, a quasi-experimental non-randomized and non-concurrent approach was conducted with 21 final-year nursing students from a public university, who were subjected to a questionnaire containing 10 objective questions before and after accessing the MOOC. Data were analyzed using descriptive and analytical statistics. The construction of the MOOC began in 2020, with the first edition launched in October 2023. The stages observed in its development included choosing the theme, producing the course, preliminary evaluation, and dissemination. Participants' knowledge after accessing the course was significantly higher (p <0,001) compared to the results before access. The average score before accessing the course was 7,1 and after was 8,9. The evidence found demonstrates the success of the intervention. Collaborative development of the MOOC, directing materials to the target audience while respecting their difficulties and potentialities, allows adherence to the proposal, contributing to expanding knowledge about the Fall TIPS Brazil program. Thus, the importance of healthcare professionals having knowledge to promote the engagement of patients and caregivers in fall prevention is highlighted, with the MOOC being a promising resource for this purpose.

The MAPSTROKE project: A computational strategy to improve access to acute stroke care.

BACKGROUND: Global access to acute stroke treatment is variable worldwide, with notable gaps in low and middle-income countries (LMIC), especially in rural areas. Ensuring a standardized method for pinpointing the existing regional coverage and proposing potential sites for new stroke centers is essential to change this scenario. AIMS: To create and apply computational strategies (CSs) to determine optimal locations for new acute stroke centers (ASCs), with a pilot application in nine Latin American regions/countries. METHODS: Hospitals treating acute ischemic stroke (AIS) with intravenous thrombolysis (IVT) and meeting the minimum infrastructure requirements per structured protocols were categorized as ASCs. Hospitals with emergency departments, noncontrast computed tomography (NCCT) scanners, and 24/7 laboratories were identified as potential acute stroke centers (PASCs). Hospital geolocation data were collected and mapped using the OpenStreetMap data set. A 45-min drive radius was considered the ideal coverage area for each hospital based on the drive speeds from the OpenRouteService database. Population data, including demographic density, were obtained from the Kontur Population data sets. The proposed CS assessed the population covered by ASCs and proposed new ASCs or artificial points (APs) settled in densely populated areas to achieve a target population coverage (TPC) of 95%. RESULTS: The observed coverage in the region presented significant disparities, ranging from 0% in the Bahamas to 73.92% in Trinidad and Tobago. No country/region reached the 95% TPC using only its current ASCs or PASCs, leading to the proposal of APs. For example, in Rio Grande do Sul, Brazil, the introduction of 132 new centers was suggested. Furthermore, it was observed that most ASCs were in major urban hubs or university hospitals, leaving rural areas largely underserved. CONCLUSIONS: The MAPSTROKE project has the potential to provide a systematic approach to identify areas with limited access to stroke centers and propose solutions for increasing access to AIS treatment. DATA ACCESS STATEMENT: Data used for this publication are available from the authors upon reasonable request.

Fostering Digital Health in Universities: An Experience of the First Junior Scientific Committee of the Brazilian Congress of Health Informatics.

OBJECTIVES: Digital health (DH) is a revolution driven by digital technologies to improve health. Despite the importance of DH, curricular updates in healthcare university programs are scarce, and DH remains undervalued. Therefore, this report describes the first Junior Scientific Committee (JSC) focusing on DH at a nationwide congress, with the aim of affirming its importance for promoting DH in universities. METHODS: The scientific committee of the Brazilian Congress of Health Informatics (CBIS) extended invitations to students engaged in health-related fields, who were tasked with organizing a warm-up event and a 4-hour session at CBIS. Additionally, they were encouraged to take an active role in a workshop alongside distinguished experts to map out the current state of DH in Brazil. RESULTS: The warm-up event focused on the topic "Artificial intelligence in healthcare: is a new concept of health about to arise?" and featured remote discussions by three professionals from diverse disciplines. At CBIS, the JSC's inaugural presentation concentrated on delineating the present state of DH education in Brazil, while the second presentation offered strategies to advance DH, incorporating viewpoints from within and beyond the academic sphere. During the workshop, participants deliberated on the most crucial competencies for future professionals in the DH domain. CONCLUSIONS: Forming a JSC proved to be a valuable tool to foster DH, particularly due to the valuable interactions it facilitated between esteemed professionals and students. It also supports the cultivation of leadership skills in DH, a field that has not yet received the recognition it deserves.

An integrative multi-omics approach to characterize interactions between tuberculosis and diabetes mellitus.

Tuberculosis-diabetes mellitus (TB-DM) is linked to a distinct inflammatory profile, which can be assessed using multi-omics analyses. Here, a machine learning algorithm was applied to multi-platform data, including cytokines and gene expression in peripheral blood and eicosanoids in urine, in a Brazilian multi-center TB cohort. There were four clinical groups: TB-DM(n = 24), TB only(n = 28), DM(HbA1c ≥ 6.5%) only(n = 11), and a control group of close TB contacts who did not have TB or DM(n = 13). After cross-validation, baseline expression or abundance of MMP-28, LTE-4, 11-dTxB2, PGDM, FBXO6, SECTM1, and LINCO2009 differentiated the four patient groups. A distinct multi-omic-derived, dimensionally reduced, signature was associated with TB, regardless of glycemic status. SECTM1 and FBXO6 mRNA levels were positively correlated with sputum acid-fast bacilli grade in TB-DM. Values of the biomarkers decreased during the course of anti-TB therapy. Our study identified several markers associated with the pathophysiology of TB-DM that could be evaluated in future mechanistic investigations.

Consenso latinoamericano sobre la importancia de un sistema de gestión de datos microbiológicos para apoyar el programa de optimización de uso de antimicrobianos (PROA): Recomendaciones basadas en la evidencia. Parte 1 / Latin American consensus on the importance of a microbiological data management system to support antimicrobial use optimization program (PROA): Evidence-based recommendations. Part 1

La resistencia antimicrobiana es una amenaza para los logros de la medicina moderna y una de las medidas más efectivas para contrarrestarla son los programas de optimización del uso de antimicrobianos (PROA), en el cual el laboratorio de microbiología es uno de los principales componentes. La aplicación efectiva de tecnología de la información en los procesos es fundamental, pero existe poca información en Latinoamérica sobre el desarrollo y la articulación de las herramientas tecnológicas para apoyar los PROA. Este consenso hace recomendaciones sobre la gestión de los datos microbiológicos para la toma de decisiones. En la Parte I, se presentan las recomendaciones en cuanto al uso de un sistema informatizado de gestión de datos microbiológicos en la práctica clínica, los requerimientos de datos y de reporte en el laboratorio de microbiología, y los contenidos del sistema de gestión de calidad avanzado en el laboratorio. En la Parte II, se discuten los requerimientos de información para la gestión de PROA en estadios intermedios, iniciales y avanzados por el laboratorio y la farmacia; así como la integración del equipo de PROA con el Comité de Prevención y Control de Infecciones y la información para la gestión de PROA a nivel gerencial.

Antimicrobial resistance is a threat to the achievements of modern medicine and one of the most effective measures to counteract it is antimicrobial use optimization programs (AMS), in which the microbiology laboratory is one of the main components. The effective application of information technology in the processes is fundamental, but there is little information in Latin America on the development and articulation of technological tools to support AMSs. This consensus makes recommendations on the management of microbiological data for decision making. In Part I, recommendations on the use of a computerized microbiological data management system in clinical practice, data and reporting requirements in the microbiology laboratory, as well as the contents of the advanced quality management system in the laboratory are presented. In Part II, the information requirements for AMS management in intermediate, initial, and advanced stages by the laboratory and pharmacy are discussed; as well as the integration of the AMS team with the Infection Prevention and Control Committee and the information for AMS management at the management level.

Avaliação da usabilidade e utilidade de um aplicativo sobre traumatismos dentários para cirurgiões-dentistas e estudantes de Odontologia / Evaluación de usabilidad y utilidad de una aplicación para odontólogos y estudiantes de odontología en el manejo de traumatismos dentales / Usability and utility evaluation of an application for dentists and dental students to manage dental injuries

O objetivo deste estudo foi avaliar a usabilidade e a utilidade do aplicativo (app) Dental Trauma, disponível gratuitamente e em português nas lojas App Store e Play Store. Participaram do estudo estudantes de Odontologia e Cirurgiões-dentistas (CDs) (n =20). Utilizou-se o teste de Escala de Usabilidade do Sistema (System Usability Scale-SUS) para análise da usabilidade e o teste de Aceitação de Tecnologia (Technology Acceptance Model-TAM) adaptado ao contexto da pesquisa para a análise da utilidade. Foi aplicado o teste de Mann-Whitney para comparar o escore SUS entre estudantes e CDs e o teste de Spearman para correlacionar as questões da utilidade. A pontuação SUS no percentil 50 foi de 83,75. Valores acima de 68 são classificados como aceitáveis. O teste de Mann-Whitney não evidenciou diferença significativa na pontuação SUS ao analisar separadamente CDs e estudantes de Odontologia (p = 0,442). O app foi amplamente avaliado como útil (95% a 100%), sendo observadas correlações robustas, positivas e significas entre as respostas para cada questão. O app não contempla traumatismos em dentes decíduos, sendo uma oportunidade de atualização ou desenvolvimento de outros apps. O app Dental Trauma atendeu aos requisitos de usabilidade e utilidade, alcançando resultados classificados como "excelente". Os usuáriosreconheceram se tratar de uma tecnologia útil que pode auxiliar o profissional no diagnóstico e conduta e na compreensão dos conceitos relacionados ao traumatismo dentário (AU).

El objetivo de este estudio fue aplicar pruebas de usabilidad y utilidad a la aplicación (app) Dental Trauma, disponible de forma gratuita en portugués en App Store y Play Store. Participaron en el estudio estudiantes de odontología y Odontólogos(n = 20). Se utilizó la Escala de Usabilidad del Sistema (System Usability Scale-SUS) para el análisis de usabilidad y el Modelo de Aceptación de Tecnología (TAM), adaptado al contexto de la investigación, para el análisis de utilidad. Se aplicó la prueba de Mann-Whitney para comparar los puntajes SUS entre estudiantes y dentistas, y la prueba de Spearman para correlacionar preguntas de utilidad. El puntaje SUS en el percentil 50 fue de 83,75. Los puntajes por encima de 68 se clasifican como aceptables. La prueba de Mann-Whitney no mostró una diferencia significativa en el puntaje SUS al analizar por separado a los Odontólogosy estudiantes de odontología (p = 0,442). La aplicación fue ampliamente evaluada como útil (95% a 100%), observándose correlaciones robustas, positivas y significativas entre las respuestas a cada pregunta. Sin embargo, no aborda traumas en dientes deciduos, lo que representa una oportunidad para actualizar o desarrollar otras aplicaciones. La app Dental Trauma cumplió con los requisitos de usabilidad y utilidad, logrando resultados calificados como "excelentes". Los usuarios reconocieron que se trata de una tecnología útil que puede ayudar a los profesionales en el diagnóstico y manejo y en la comprensión de conceptos relacionados con el traumatismo dental (AU).

This study aimed to apply usability and utility tests to the Dental Trauma application (app), available for free in Portuguese on the App Store and Play Store. Students and dentists participated in the study (n = 20). The System Usability Scale (SUS) test was used for usability analysis, and the Technology Acceptance Model (TAM) test, adapted to the dental trauma context, was used for utility analysis. The Mann-Whitney test was applied to compare SUS scores between students and dentists, and the Spearman test was used to correlate utility questions. The SUS score at the 50th percentile was 83.75. Scores above 68 are classified as acceptable. The Mann-Whitney test did not show a significant difference in the SUS score when analyzing dentists and dental students separately (p = 0.442). The app was widely evaluated as useful (95% to 100%), with robust, positive, and significant correlations observed between responses to each question. However, it does not cover traumas in deciduous teeth, presenting an opportunity for updating or developing other apps. The Dental Trauma app fulfilled both usability and usefulness criteria, garnering an "excellent" rating in its outcomes. Users acknowledged its utility as a valuable technological tool aiding professionals in diagnosis, management, and comprehension of dental trauma-related concepts (AU).