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Knowing the prevalence of potentially avoidable hospitalizations (PAHs) and the factors associated with them is essential if preventive action is to be taken. Studies on PAHs mainly concern adults, and very few have been carried out in South America. To the best of our knowledge, there has been no study on PAHs in French Guiana, particularly among older adults. This case-control study aimed to estimate the prevalence of PAHs in the Guianese population aged over 65 and to analyze their associated factors. We used the 2017-2019 data from the French National Health Service database (Système National des Données de Santé). The patients were age- and sex-matched 1 : 3 with controls without any PAH in 2019. Factors associated with PAHs were investigated through two conditional logistic regression models [one including the Charlson comorbidity index (CCI) and one including each comorbidity of the CCI], with calculation of the adjusted odds ratio (aOR) and 95% confidence interval (CI). The PAH incidence was 17.4 per 1000 inhabitants. PAHs represented 6.6% of all hospitalizations (45.6% related to congestive heart failure or hypertension). A higher CCI was associated with PAHs [aOR 2.2 (95% CI: 1.6, 3.0) and aOR 4.8 (95% CI: 2.4, 9.9) for 1-2 and ≥3 comorbidities, respectively, versus 0], as was immigrant health insurance status [aOR 2.3 (95% CI: 1.3, 4.2)]. Connective tissue disease, chronic pulmonary disease, congestive heart failure, diabetes, and peripheral vascular disease were comorbidities associated with an increased risk of PAHs. While the prevention of PAHs among immigrants is probably beyond the reach of the Guianese authorities, primary care and a public health policy geared toward prevention should be put in place for the French Guianese population suffering from cardiovascular disease in order to reduce PAHs.

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The objective of the study was to assess the consistency between self-reported demographic characteristics, health conditions, and healthcare use, and administrative healthcare records, in a sample of enrollees of an Indigenous health organization in Colombia. We conducted a phone survey of a random sample of 2113 enrollees September-2020/February-2021. Administrative health records were obtained for the sample. Using ICD-10 diagnostic codes, we identified individuals who had healthcare visits for diabetes, hypertension, and/or pregnancy. Using unique identifiers, we linked their survey data to the administrative dataset. Agreement percentages and Cohen's Kappa coefficients were calculated. Logistic regressions were performed for each health condition/state. Results showed high degree of agreement between data sources for sex and age, similar rates for diabetes and hypertension, 10% variation for pregnancy. Kappa statistics were in the moderate range. Age was significantly associated with agreement between data sources. Sex, language, and self-rated health were significant for diabetes. This is the first study with data from an Indigenous population assessing the consistency between self-reported data and administrative health records. Survey and administrative data produced similar results, suggesting that Anas Wauu can be confident in using their data for planning and research purposes, as part of the movement toward data sovereignty.

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Background/Objective: Diabetes registries that enhance surveillance and improve medical care are uncommon in low- and middle-income countries, where most of the diabetes burden lies. We aimed to describe the methodological and technical aspects adopted in the development of a municipal registry of people with diabetes using local and national Brazilian National Health System databases. Methods: We obtained data between July 2018 and June 2021 based on eight databases covering primary care, specialty and emergency consultations, medication dispensing, outpatient exam management, hospitalizations, and deaths. We identified diabetes using the International Classification of Disease (ICD), International Classification of Primary Care (ICPC), medications for diabetes, hospital codes for the treatment of diabetes complications, and exams for diabetes management. Results: After data processing and database merging using deterministic and probabilistic linkage, we identified 73,185 people with diabetes. Considering that 1.33 million people live in Porto Alegre, the registry captured 5.5% of the population. Conclusions: With additional data processing, the registry can reveal information on the treatment and outcomes of people with diabetes who are receiving publicly financed care in Porto Alegre. It will provide metrics for epidemiologic surveillance, such as the incidence, prevalence, rates, and trends of complications and causes of mortality; identify inadequacies; and provide information. It will enable healthcare providers to monitor the quality of care, identify inadequacies, and provide feedback as needed.

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BACKGROUND: The last five decades have seen a surge in viral outbreaks, particularly in tropical and subtropical regions like Brazil, where endemic arboviruses such as Dengue (DENV), Zika (ZIKV), and Chikungunya (CHIKV) pose significant threats. However, current diagnostic strategies exhibit limitations, leading to gaps in infection screening, arbovirus differential diagnoses, DENV serotyping, and life-long infection tracking. This deficiency impedes critical information availability regarding an individual's current infection and past infection history, disease risk assessment, vaccination needs, and policy formulation. Additionally, the availability of point-of-care diagnostics and knowledge regarding immune profiles at the time of infection are crucial considerations. OBJECTIVES: This review underscores the urgent need to strengthen diagnostic methods for arboviruses in Brazil and emphasizes the importance of data collection to inform public health policies for improved diagnostics, surveillance, and policy formulation. METHODS: We evaluated the diagnostic landscape for arboviral infections in Brazil, focusing on tailored, validated methods. We assessed diagnostic methods available for sensitivity and specificity metrics in the context of Brazil. RESULTS: Our review identifies high-sensitivity, high-specificity diagnostic methods for arboviruses and co-infections. Grifols transcription-mediated amplification assays are recommended for DENV, CHIKV, and ZIKV screening, while IgG/IgM ELISA assays outperform Rapid Diagnostic Tests (RDTs). The Triplex real-time RT-PCR assay is recommended for molecular screening due to its sensitivity and specificity. CONCLUSION: Enhanced diagnostic methods, on-going screening, and tracking are urgently needed in Brazil to capture the complex landscape of arboviral infections in the country. Recommendations include nationwide arbovirus differential diagnosis for DENV, ZIKV, and CHIKV, along with increased DENV serotyping, and lifelong infection tracking to combat enduring viral threats and reduce severe presentations.

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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.

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Introduction: The COVID-19 pandemic has prompted global research efforts to reduce infection impact, highlighting the potential of cross-disciplinary collaboration to enhance research quality and efficiency. Methods: At the FMUSP-HC academic health system, we implemented innovative flow management routines for collecting, organizing and analyzing demographic data, COVID-related data and biological materials from over 4,500 patients with confirmed SARS-CoV-2 infection hospitalized from 2020 to 2022. This strategy was mainly planned in three areas: organizing a database with data from the hospitalizations; setting-up a multidisciplinary taskforce to conduct follow-up assessments after discharge; and organizing a biobank. Additionally, a COVID-19 curated collection was created within the institutional digital library of academic papers to map the research output. Results: Over the course of the experience, the possible benefits and challenges of this type of research support approach were identified and discussed, leading to a set of recommended strategies to enhance collaboration within the research institution. Demographic and clinical data from COVID-19 hospitalizations were compiled in a database including adults and a minority of children and adolescents with laboratory confirmed COVID-19, covering 2020-2022, with approximately 350 fields per patient. To date, this database has been used in 16 published studies. Additionally, we assessed 700 adults 6 to 11 months after hospitalization through comprehensive, multidisciplinary in-person evaluations; this database, comprising around 2000 fields per subject, was used in 15 publications. Furthermore, thousands of blood samples collected during the acute phase and follow-up assessments remain stored for future investigations. To date, more than 3,700 aliquots have been used in ongoing research investigating various aspects of COVID-19. Lastly, the mapping of the overall research output revealed that between 2020 and 2022 our academic system produced 1,394 scientific articles on COVID-19. Discussion: Research is a crucial component of an effective epidemic response, and the preparation process should include a well-defined plan for organizing and sharing resources. The initiatives described in the present paper were successful in our aim to foster large-scale research in our institution. Although a single model may not be appropriate for all contexts, cross-disciplinary collaboration and open data sharing should make health research systems more efficient to generate the best evidence.

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Abstract Background The last five decades have seen a surge in viral outbreaks, particularly in tropical and subtropical regions like Brazil, where endemic arboviruses such as Dengue (DENV), Zika (ZIKV), and Chikungunya (CHIKV) pose significant threats. However, current diagnostic strategies exhibit limitations, leading to gaps in infection screening, arbovirus differential diagnoses, DENV serotyping, and life-long infection tracking. This deficiency impedes critical information availability regarding an individual's current infection and past infection history, disease risk assessment, vaccination needs, and policy formulation. Additionally, the availability of point-of-care diagnostics and knowledge regarding immune profiles at the time of infection are crucial considerations. Objectives This review underscores the urgent need to strengthen diagnostic methods for arboviruses in Brazil and emphasizes the importance of data collection to inform public health policies for improved diagnostics, surveillance, and policy formulation. Methods We evaluated the diagnostic landscape for arboviral infections in Brazil, focusing on tailored, validated methods. We assessed diagnostic methods available for sensitivity and specificity metrics in the context of Brazil. Results Our review identifies high-sensitivity, high-specificity diagnostic methods for arboviruses and co-infections. Grifols transcription-mediated amplification assays are recommended for DENV, CHIKV, and ZIKV screening, while IgG/IgM ELISA assays outperform Rapid Diagnostic Tests (RDTs). The Triplex real-time RT-PCR assay is recommended for molecular screening due to its sensitivity and specificity. Conclusion Enhanced diagnostic methods, on-going screening, and tracking are urgently needed in Brazil to capture the complex landscape of arboviral infections in the country. Recommendations include nationwide arbovirus differential diagnosis for DENV, ZIKV, and CHIKV, along with increased DENV serotyping, and lifelong infection tracking to combat enduring viral threats and reduce severe presentations.

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BACKGROUND: Decision-making and strategies to improve service delivery must be supported by reliable health data to generate consistent evidence on health status. The data quality management process must ensure the reliability of collected data. Consequently, various methodologies to improve the quality of services are applied in the health field. At the same time, scientific research is constantly evolving to improve data quality through better reproducibility and empowerment of researchers and offers patient groups tools for secured data sharing and privacy compliance. OBJECTIVE: Through an integrative literature review, the aim of this work was to identify and evaluate digital health technology interventions designed to support the conducting of health research based on data quality. METHODS: A search was conducted in 6 electronic scientific databases in January 2022: PubMed, SCOPUS, Web of Science, Institute of Electrical and Electronics Engineers Digital Library, Cumulative Index of Nursing and Allied Health Literature, and Latin American and Caribbean Health Sciences Literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist and flowchart were used to visualize the search strategy results in the databases. RESULTS: After analyzing and extracting the outcomes of interest, 33 papers were included in the review. The studies covered the period of 2017-2021 and were conducted in 22 countries. Key findings revealed variability and a lack of consensus in assessing data quality domains and metrics. Data quality factors included the research environment, application time, and development steps. Strategies for improving data quality involved using business intelligence models, statistical analyses, data mining techniques, and qualitative approaches. CONCLUSIONS: The main barriers to health data quality are technical, motivational, economical, political, legal, ethical, organizational, human resources, and methodological. The data quality process and techniques, from precollection to gathering, postcollection, and analysis, are critical for the final result of a study or the quality of processes and decision-making in a health care organization. The findings highlight the need for standardized practices and collaborative efforts to enhance data quality in health research. Finally, context guides decisions regarding data quality strategies and techniques. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1101/2022.05.31.22275804.

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Abstract Background Evaluation and treatment of primary and secondary headaches is a global public health challenge. Recognizing the epidemiological impact of headaches, a group of researchers linked to the Brazilian Headache Society proposed the Brazilian Headache Registry and drew up its initial protocol. Objective Here we describe the methods and preliminary data obtained from the pilot study. Methods This was a multicenter longitudinal observational study conducted between September 2020 and August 2021. Prospective data were collected in three specialist centers for headache care in states in southern and southeastern Brazil. Patients aged 18 years or older who sought care for headache in tertiary centers and who agreed to participate in the study, were considered eligible. Results Sixty-six patients were included in the pilot study: 43 (65%) from Rio Grande do Sul state and 23 (35%) from Minas Gerais state. Overall, 90% were female, and the subjects' mean age was 38.2 ± 11.2 years. Primary headaches accounted for 85.3% of the diagnoses made. Among secondary headaches, medication overuse headache was the most frequent type (7.1%). Conclusions The pilot study showed the feasibility of the research protocol developed for tertiary centers. The Brazilian Headache Registry will form a source of longitudinal data with the aim of contributing to better characterization of the various phenotypes of patients with primary and secondary headaches, and to detailing the use of health resources and identifying predictors of better clinical outcomes.

Resumo Antecedentes A avaliação e o tratamento das cefaleias primárias e secundárias são um desafio global de saúde pública. Reconhecendo o impacto epidemiológico das cefaleias, um grupo de pesquisadores vinculados à Sociedade Brasileira de Cefaleia propôs a criação de um Registro Brasileiro de Cefaleia e elaborou seu protocolo inicial. Objetivo Nesta publicação descrevemos os métodos e dados preliminares obtidos a partir do estudo piloto. Métodos Trata-se de um estudo prospectivo observacional longitudinal multicêntrico, realizado entre setembro de 2020 e agosto de 2021. Foram coletados dados em três centros especializados no atendimento de cefaleia, em estados da região sul e sudeste do Brasil. Pacientes com idade igual ou superior a 18 anos que procuraram os centros terciários por queixa de cefaleia e concordaram em participar do estudo foram considerados elegíveis. Resultados Sessenta e seis pacientes foram incluídos no estudo piloto, 43 (65%) do Rio Grande do Sul e 23 (35%) de Minas Gerais. Da amostra total, 90% eram do sexo feminino e a idade média dos sujeitos foi de 38,2 ± 11,2 anos. As cefaleias primárias representaram 85,3% dos diagnósticos realizados. Entre as cefaleias secundárias, a cefaleia por uso excessivo de medicamentos foi a mais frequente (7,1%). Conclusões O estudo piloto evidenciou a viabilidade do protocolo de pesquisa desenvolvido para centros terciários. O Registro Brasileiro de Cefaleia constituirá uma fonte de dados longitudinais com o objetivo de contribuir para melhor caracterização dos diversos fenótipos de pacientes com cefaleias primárias e secundárias, detalhar o uso de recursos de saúde e identificar preditores de melhores desfechos clínicos.

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AIMS: This article aims to perform a Systematic Literature Review (SLR) to better understand the structures of different methods, techniques, models, methodologies, and technologies related to provenance data management in health information systems (HISs). The SLR developed here seeks to answer the questions that contribute to describing the results. METHOD: An SLR was performed on six databases using a search string. The backward and forward snowballing technique was also used. Eligible studies were all articles in English that presented on the use of different methods, techniques, models, methodologies, and technologies related to provenance data management in HISs. The quality of the included articles was assessed to obtain a better connection to the topic studied. RESULTS: Of the 239 studies retrieved, 14 met the inclusion criteria described in this SLR. In order to complement the retrieved studies, 3 studies were included using the backward and forward snowballing technique, totaling 17 studies dedicated to the construction of this research. Most of the selected studies were published as conference papers, which is common when involving computer science in HISs. There was a more frequent use of data provenance models from the PROV family in different HISs combined with different technologies, among which blockchain and middleware stand out. Despite the advantages found, the lack of technological structure, data interoperability problems, and the technical unpreparedness of working professionals are still challenges encountered in the management of provenance data in HISs. CONCLUSION: It was possible to conclude the existence of different methods, techniques, models, and combined technologies, which are presented in the proposal of a taxonomy that provides researchers with a new understanding about the management of provenance data in HISs.

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OBJECTIVES: Primary health care builds the backbone of an effective healthcare system and can improve population health, reduce cost growth, and lessen inequality. We offer a machine-readable and open-access dataset on primary health care coverage in Brazil from 1998 to 2020. This dataset is interoperable with epidemiological data from two major studies and reusable by the research community worldwide for other purposes, such as monitoring progress toward universal health coverage and studying the association between primary health care and health outcomes. DATA DESCRIPTION: The dataset gathers official and public information from the "e-Gestor AB" platform of the Ministry of Health of Brazil and restricted data obtained by the Brazilian Access to Information Law. It includes 1,509,870 observations and 35 attributes aggregated by months/years and policy-relevant geographic units (country, macroregions, states, municipalities, and capitals) on primary health care team count and their absolute and relative population coverage estimates, information on the More Doctors Program implementation and physician counts, and spatial, demographic, and socioeconomic characteristics. We automated all data processing and curation in the free and open software R. The codes can be audited, replicated, and reused to produce alternative analyses.

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Objetivo: analisar a legislação e as principais questões pertinentes ao armazenamento das informações relativas à saúde do paciente em bancos de dados, bem como as exceções ao dever de sigilo, à luz do Regulamento (UE) 2016/679 (novo Regulamento Geral de Proteção de Dados) e da Lei n.º 58/2019. Metodologia: por meio de uma revisão legislativa e doutrinária, confrontamos os dispositivos que abordam o direito à privacidade do paciente, a proteção do sigilo médico e o acesso de dados, analisando as exceções ao dever de sigilo que decorrem da lei e dos estatutos das ordens profissionais que tutelam o exercício das profissões. Resultados: a dispersão das normas que tratam a proteção de dados pode criar obstáculos à efetivação do direito e dúvidas acerca da interpretação do novo Regulamento Geral de Proteção de Dados. Conclusão: o novo Regulamento e a Lei n.º 58/2019 têm o escopo de sistematizar a matéria concernente à proteção dos dados, mas deverão ser confrontadas com a legislação interna portuguesa que aborde outras questões transversais, a exemplo das tratadas na Lei de Bases da Saúde em Portugal, no Regime Geral dos Arquivos e do Património Arquivístico, dentre outros, o que implica uma dificuldade acrescida ao utilizador do direito.

Objective: to analyze legislation and key issues related to the storage of patient data in databases and exceptions to confidentiality under Regulation (EU) 2016/679 (new General Data Protection Regulation) and Law No. 58/2019.Methods: through a review of legislation and doctrine, we contrast the provisions that address the patient's right to privacy, the protection of medical secrecy, and access to data, and analyze the exceptions to confidentiality arising from the law and the statutes of the professional codes that protect the practice of the professions. Results: the scattering of norms dealing with data protection may lead to obstacles in the realization of the right to data protection and to doubts in the interpretation of the new Regulation. Conclusion: the new Regulation and Law No. 58/2019 are suitable to systematize data protection. However, they must be confronted with Portuguese legislation that deals with other cross-cutting issues, such as the Portuguese Basic Health Law, the General Archives Law and others, which creates additional difficulties for the user of the law.

Objetivo: analizar la legislación y las principales cuestiones relevantes para el almacenamiento de información relacionada con la salud del paciente en bases de datos, así como las excepciones a la obligación de secreto, de acuerdo con el Reglamento (UE) 2016/679 (nuevo Reglamento General de Protección de Datos) y la Ley n.° 58/2019. Metodología: a través de una revisión legislativa y doctrinaria, confrontamos las disposiciones que atienden el derecho a la intimidad del paciente, la protección del secreto médico y el acceso a los datos, analizando las excepciones al deber de secreto, que se derivande la ley y los estatutos que protegen el ejercicio de las profesiones. Resultados: la dispersión de normas que tratan de la protección de datos puede generar obstáculos para la realización del derecho a la protección de datos y dudas sobre la interpretación del Reglamento. Conclusión: el Nuevo Reglamento y la Ley n.º 58/2019 tienen el alcance de sistematizar la materia relativa a la protección de datos, pero deben confrontarse con la legislación interna portuguesa que aborda otras cuestiones transversales, como las tratadas en el Ley de Salud en Portugal, en el Régimen General de Archivos, entre otros, lo que implica una dificultad añadida para el usuario del derecho.

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With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. This paper presents an architecture to ensure the privacy of health-related data, which are stored and shared within a blockchain network in a decentralized manner, through the use of encryption with the RSA, ECC, and AES algorithms. Evaluation tests were performed to verify the impact of cryptography on the proposed architecture in terms of computational effort, memory usage, and execution time. The results demonstrate an impact mainly on the execution time and on the increase in the computational effort for sending data to the blockchain, which is justifiable considering the privacy and security provided with the architecture and encryption.

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Background: A growing number of mobile applications have been designed for the chronic disease patient as the primary user. Mobile health applications for self-care have the potential to help patients living with chronic conditions such as kidney disease, and can be used to manage aspects such as the consumption of substances that are harmful to health. Chronic kidney disease causes significant morbidity throughout Panama, and is also responsible for an increase in cardiovascular disease. Objective: In this paper, we present a review of the applications offered by the Android store, based on a search and selection of the most efficient options that fulfill a set of criteria and functionalities. Methods: We evaluate a big health data model in terms of its usefulness for studies, research and projections of Panamanian patients with this chronic disease. Results and Discusion: We present a mobile application based on the most important standards and functionalities for the Panamanian population affected by this disease. Our analysis also highlights the importance of mobile applications for the self-care of chronic diseases and their usefulness to both patients and health care providers, since they can support better health habits and give good results in terms of following a diet, promoting a healthy lifestyle, and encouraging physical activity. The analysis presented here will form the basis for the development of an application that will be simple, user-friendly and powerful, in the sense that it will empower patients with the resources they need for self-care. . Conclusion: Mobile applications are found to show promise for the self-care of chronic conditions, and can improve the quality of life of Panamanian patients. In addition, we intend to develop a data repository for scientific research within Central America.

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BACKGROUND: Intensive care unit (ICU) patients demand continuous monitoring of several clinical and laboratory parameters that directly influence their medical progress and the staff's decision-making. Those data are vital in the assistance of these patients, being already used by several scoring systems. In this context, machine learning approaches have been used for medical predictions based on clinical data, which includes patient outcomes. AIM: To develop a binary classifier for the outcome of death in ICU patients based on clinical and laboratory parameters, a set formed by 1087 instances and 50 variables from ICU patients admitted to the emergency department was obtained in the "WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction" dataset. METHODS: For categorical variables, frequencies and risk ratios were calculated. Numerical variables were computed as means and standard deviations and Mann-Whitney U tests were performed. We then divided the data into a training (80%) and test (20%) set. The training set was used to train a predictive model based on the Random Forest algorithm and the test set was used to evaluate the predictive effectiveness of the model. RESULTS: A statistically significant association was identified between need for intubation, as well predominant systemic cardiovascular involvement, and hospital death. A number of the numerical variables analyzed (for instance Glasgow Coma Score punctuations, mean arterial pressure, temperature, pH, and lactate, creatinine, albumin and bilirubin values) were also significantly associated with death outcome. The proposed binary Random Forest classifier obtained on the test set (n = 218) had an accuracy of 80.28%, sensitivity of 81.82%, specificity of 79.43%, positive predictive value of 73.26%, negative predictive value of 84.85%, F1 score of 0.74, and area under the curve score of 0.85. The predictive variables of the greatest importance were the maximum and minimum lactate values, adding up to a predictive importance of 15.54%. CONCLUSION: We demonstrated the efficacy of a Random Forest machine learning algorithm for handling clinical and laboratory data from patients under intensive monitoring. Therefore, we endorse the emerging notion that machine learning has great potential to provide us support to critically question existing methodologies, allowing improvements that reduce mortality.

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OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various types of epidemiologic research, such as health inequality studies, ecological studies (mapping and time-trends), and multi-level analysis. DATA DESCRIPTION: The database gathers official information obtained via open sources from the Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 139,153 observations and 26 attributes aggregated by years and policy-relevant geographic units on geocoding of municipality centroids, total population size, child population by age-group, birth and mortality measures, Brazilian Municipal Human Development Index, Gini coefficient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R.

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Objetivo: discutir se replicar o Projeto "Sífilis Não", naquilo que se refere ao tratamento de vastas quantidades de dados pessoais relativos à saúde sem o consentimento dos titulares, seria possível em solo português. Metodologia: análise da legislação referente à proteção de dados pessoais brasileira, portuguesa e europeia, tendo o Projeto "Sífilis Não" como o caso em estudo. Resultados: o tratamento de dados pessoais sensíveis sem o consentimento do titular é, em regra, proibido pelo Regulamento Geral de Proteção de Dados, entretanto, o tratamento por motivo de interesse público na área da saúde e para fins de pesquisa científica é autorizado, desde que sejam garantidas as liberdades fundamentais dos titulares. Conclusão: tendo em vista que o Projeto "Sífilis Não" é um projeto de pesquisa que envolve o enfrentamento e erradicação da sífilis em todas as suas formas, hipóteses específicas da legislação portuguesa e europeia autorizam o tratamento de dados pessoais sensíveis mesmo sem o consentimento dos titulares, notadamente o tratamento de dados pessoais por motivos de interesse público no domínio da saúde pública e para fins de investigação científica.

Objective: to discuss whether the reproduction of the "No Syphilis" Project regarding the processing of large scale of personal data related to health without the consent of the holders would be possible in Portugal. Methods: analysis of the Brazilian, Portuguese, and European legislation on personal data protection, with the "No Syphilis" Project as a case study. Results: the processing of sensitive personal data without the consent of the owner is, as a rule, prohibited by the General Data Protection Regulation, however the processing for reasons of public interest in the field of health and scientific research purposes is authorized, provided that the fundamental freedoms of the holders are guaranteed. Conclusion: considering that the "No Syphilis" Project is a research project that involves addressing and eradicating syphilis in all its forms, specific hypotheses of Portuguese and European legislation authorize the processing of sensitive personal data even without the consent of the holders, specifically, the processing of personal data for reasons of public interest in the field of public health and scientific research purposes.

Objetivo: discutir si la reproducción del Proyecto "Sífilis No", con respecto al procesamiento de grandes cantidades de datos personales relacionados con la salud sin el consentimiento de los titulares, sería posible en el terreno portugués. Metodología: análisis de la legislación sobre protección de datos personales brasileños, portugueses y europeos, con el Proyecto "Sífilis No" como caso en estudio. Resultados: el tratamiento de datos personales sensibles sin el consentimiento del titular está, por regla general, prohibido por el Reglamento General de Protección de Datos, sin embargo, el tratamiento por razones de interés público en el ámbito de la salud y con fines de investigación científica está autorizado, siempre que se garanticen las libertades fundamentales de los titulares. Conclusión: considerando que el Proyecto "Sífilis No" es un proyecto de investigación que implica hacer frente y erradicar la sífilis en todas sus formas, hipótesis específicas de la legislación portuguesa y europea autorizan el procesamiento de datos personales sensibles incluso sin el consentimiento de los titulares, en concreto, el tratamiento de datos personales por razones de interés público en el ámbito de la salud pública y con fines de investigación científica.

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Background: In Brazil, secondary data for epidemiology are largely available. However, they are insufficiently prepared for use in research, even when it comes to structured data since they were often designed for other purposes. To date, few publications focus on the process of preparing secondary data. The present findings can help in orienting future research projects that are based on secondary data. Objective: Describe the steps in the process of ensuring the adequacy of a secondary data set for a specific use and to identify the challenges of this process. Methods: The present study is qualitative and reports methodological issues about secondary data use. The study material was comprised of 6,059,454 live births and 73,735 infant death records from 2004 to 2013 of children whose mothers resided in the State of São Paulo - Brazil. The challenges and description of the procedures to ensure data adequacy were undertaken in 6 steps: (1) problem understanding, (2) resource planning, (3) data understanding, (4) data preparation, (5) data validation and (6) data distribution. For each step, procedures, and challenges encountered, and the actions to cope with them and partial results were described. To identify the most labor-intensive tasks in this process, the steps were assessed by adding the number of procedures, challenges, and coping actions. The highest values were assumed to indicate the most critical steps. Results: In total, 22 procedures and 23 actions were needed to deal with the 27 challenges encountered along the process of ensuring the adequacy of the study material for the intended use. The final product was an organized database for a historical cohort study suitable for the intended use. Data understanding and data preparation were identified as the most critical steps, accounting for about 70% of the challenges observed for data using. Conclusion: Significant challenges were encountered in the process of ensuring the adequacy of secondary health data for research use, mainly in the data understanding and data preparation steps. The use of the described steps to approach structured secondary data and the knowledge of the potential challenges along the process may contribute to planning health research.

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The COVID-19 outbreak exposed several problems faced by health systems worldwide, especially concerning the safe and rapid generation and sharing of health data. However, this pandemic scenario has also facilitated the rapid implementation and monitoring of technologies in the health field. In view of the occurrence of the public emergency caused by SARS-CoV-2 in Brazil, the Department of Informatics of the Brazilian Unified Health System created a contingency plan. In this paper, we aim to report the digital health strategies applied in Brazil and the first results obtained during the fight against COVID-19. Conecte SUS, a platform created to store all the health data of an individual throughout their life, is the center point of the Brazilian digital strategy. Access to the platform can be obtained through an app by the patient and the health professionals involved in the case. Health data sharing became possible due to the creation of the National Health Data Network (Rede Nacional de Dados em Saúde, RNDS). A mobile app was developed to guide citizens regarding the need to go to a health facility and to assist in disseminating official news about the virus. The mobile app can also alert the user if they have had contact with an infected person. The official numbers of cases and available hospital beds are updated and published daily on a website containing interactive graphs. These data are obtained due to creating a web-based notification system that uses the RNDS to share information about the cases. Preclinical care through telemedicine has become essential to prevent overload in health facilities. The exchange of experiences between medical teams from large centers and small hospitals was made possible using telehealth. Brazil took a giant step toward digital health adoption, creating and implementing important initiatives; however, these initiatives do not yet cover the entire health system. It is expected that the sharing of health data that are maintained and authorized by the patient will become a reality in the near future. The intention is to obtain better clinical outcomes, cost reduction, and faster and better services in the public health network.

Assuntos

RESUMO

A proteção de dados pessoais e a segurança informática são matérias sensíveis no setor da saúde. Este texto passa em revista o papel do responsável pelo tratamento de dados (data controller) segundo o Regulamento Geral de Proteção de Dados (RGPD). Estão em causa os princípios relativos ao tratamento e os direitos dos titulares de dados pessoais, os deveres de aplicar medidas técnicas e organizativas adequadas, de registar os tratamentos, de avaliar o impacto dos tratamentos ou, consoante os casos, de designar um encarregado de proteção de dados. São ainda analisadas as obrigações em matéria de segurança informática à luz do quadro legal aplicável, com destaque para a Diretiva europeia da cibersegurança.

Personal data protection and computer security are sensitive issues in the health sector. This work reviews the role of data controllers according to the General Data Protection Regulation (GDPR). At stake are the principles of data processing and the rights of holders of personal data, the duty to apply organized technical and organizational measures, to register treatments, to assess the impact of treatments or, as the case may be, to designate a data protection officer. Computer security obligations are also analysed under the applicable legal framework, in particular the EU Directiveon Cybersecurity.

La protección de los datos personales y la seguridad informática son cuestiones delicadas en el sector sanitario. Este trabajo revisa el rol del controlador de datos de acuerdo con el Reglamento General de Protección de Datos (RGPD). Em causa estão os princípios relativos ao tratamento e os direitos dos titulares de dados pessoais, os deveres de aplicar medidas técnicas e organizativas adequadas, de registar os tratamentos, de avaliar o impacto dos tratamentos ou, consoante os casos, de designar um encarregado de proteção de dados. Las obligaciones y materias de seguridad informática también se analizan a la luz del marco legal aplicable, en particular la Directiva de Ciberseguridad de la Unión Europea.