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En Honduras, los sistemas de salud se han visto en la obligación y necesidad de establecer mecanismos de vigilancia con el objetivo de conocer procesos de salud y enfermedad en la población. El objetivo del artículo es describir el proceso de análisis y las estrategias utilizadas durante el desarrollo de un sistema de información robusto para vigilar la seguridad de las vacunas, el cual también se puede replicar con otras vigilancias. Con este fin, se utilizan metodologías ágiles de desarrollo y herramientas de código abierto, se configura y desarrolla un sistema base de vigilancia, y se incorporan estándares reconocidos para la codificación, la validación y la verificación de la información. Se logró la implementación de un sistema de información confiable, estable y escalable que se utilizará para la vigilancia de eventos supuestamente atribuibles a la vacunación e inmunización (ESAVI) y eventos adversos de especial interés (EVADIE), el cual permitirá la captura oportuna y ágil de los datos de vigilancia y facilitará las tareas de análisis de datos.

Objetivo: Estimar el índice de positividad del anticuerpo contra antígeno de superficie de hepatitis B con las características demográficas y categorías de exposición entre casos confirmados en municipios de 17ª Regional de Salud (Paraná, Brasil). Método: Estudio transversal, descriptivo, cuantitativo, a partir de casos notificados/confirmados en personas con edad ≥ a 1 año, residentes en la Regional de Salud, entre 2017 y 2022. Como variable de desenlace fueron utilizados el marcador serológico y las variables de exposición categorizadas, utilizada frecuencia absoluta y relativa, test Chi-cuadrado y Exacto de Fisher. Resultados: Las variables sexo, franja etaria, embarazo, escolarización y exposición a drogas inyectables mostraron diferencia estadística entre los grupos con índice de positividad del marcador reactivo. Conclusión: Debe capacitarse a los profesionales de salud sobre pruebas rápidas y a completar integralmente la ficha, para que reconozcan el perfil epidemiológico de cada región y tracen estrategias específicas de prevención, control y tratamiento.

Introduction. Artificial intelligence and machine learning methodologies, such as prediction, pattern recognition, or general inference based on the data used in clinical aspects, must fit within the intended purposes of developing it. This article aims to provide high-level, non-technical details of the initiative and a comprehensive approach that has been taken to integrate AI-powered techniques in evidencebased nursing practices appropriately. Methodology. A multi-pronged phased approach was considered for developing artificial intelligence tools. This approach includes conducting a scoping review, analyzing data to identify patterns of impactful intervention, employing data triangulation, enhancing data collection based on impactful intervention strategies, and developing a prototype (pilot) for an artificial intelligence tool. The process encompasses piloting, testing and training, validation, and implementation. Results. In this early stage of piloting the tool, the primary focus was identifying patterns from various information gathered from healthcare organizations. This analysis revealed opportunities for knowledge generation, facilitated the expedited implementation of guidelines, and enhanced resource efficiency. Discussion. Focusing on a data-driven model to inform best practices for implementing guidelines and identifying the most impactful interventions is facilitated by extensive in-house data storage. The triangulation of approaches to guideline development, implementation, and evaluation contributes to developing this scientifically validated artificial intelligence and machine learning initiative. Conclusion. Any artificial intelligence technique requires extensive data. To provide healthcare organizations with the best available evidence, purposeful efforts must be made to structure data collection and ensure data quality before expanding the development of artificial intelligence tools. Keywords: Practice Guidelines as Topic; Evidence-Based Nursing; Machine Learning; Artificial Intelligence; Health Information Systems Introducción. La inteligencia artificial y metodologías de aprendizaje automático, como la predicción, reconocimiento de patrones, o inferencia general basada en datos utilizados en aspectos clínicos, deben encajar entre las razones previstas para su desarrollo. El objetivo de este artículo es brindar detalles no técnicos de alto nivel, sobre la iniciativa y el acercamiento exhaustivo que fue tomado para integrar técnicas impulsadas por IA en prácticas de enfermería basadas en evidencia apropiadamente. Metodología. Un abordaje de múltiples enfoques por fases se consideró para desarrollar herramientas de inteligencia artificial. Este abordaje incluye la realización de una revisión integrativa, el análisis de datos para identificar patrones de intervención de impacto, el empleo de triangulación de datos, la mejora en la recolección de datos basados en estrategias de intervención de impacto, y el desarrollo de un prototipo (piloto) para una herramienta de inteligencia artificial. El proceso agrupa una prueba piloto, realización de pruebas y entrenamiento, validación, e implementación. Resultados. En esta etapa temprana de la prueba piloto de la herramienta, el enfoque principal fue identificar patrones de las diferentes fuentes de información recolectada por organizaciones de la salud. Este análisis reveló oportunidades para la generación de conocimiento, facilitó una implementación acelerada de las guías, y potenció la eficiencia de los recursos. Discusión. Enfocándose en un modelo basado en datos para informar acerca de las mejores prácticas para la implementación de guías e identificar las intervenciones con mayor impacto es facilitado por un extenso almacenamiento interno de datos. La triangulación de los enfoques para el desarrollo de la guía, la implementación y la evaluación contribuye al desarrollo de inteligencia artificial y metodologías de aprendizaje automático científicamente validadas. Conclusión. Cualquier técnica de inteligencia artificial requiere una gran cantidad de datos. Para proveer a organizaciones de la salud la mejor evidencia disponible, deben realizarse esfuerzos significativos para estructurar la recolección de datos y asegurar la calidad de estos antes de expandir el desarrollo de herramientas de inteligencia artificial. Palabras clave: Guías de Práctica Clínica como Asunto; Enfermería Basada en la Evidencia; Aprendizaje Automático; Inteligencia Artificial; Sistemas de Información en Salud Introdução. A inteligência artificial e as metodologias de aprendizagem automática, como predição, reconhecimento de padrões ou inferência geral baseada em dados utilizados em aspectos clínicos, devem se enquadrar entre as razões previstas para o seu desenvolvimento. O objetivo deste artigo é fornecer detalhes não técnicos de alto nível sobre a iniciativa e a abordagem abrangente que foi tomada para integrar técnicas impulsionadas por IA em práticas de enfermagem baseadas em evidências adequadamente. Metodologia. Foi considerada uma abordagem multifásica para desenvolver ferramentas de inteligência artificial. Esta abordagem inclui a realização de uma revisão integrativa, a análise de dados para identificar padrões de intervenção de impacto, o emprego da triangulação de dados, o aprimoramento na coleta de dados com base em estratégias de intervenção de impacto e o desenvolvimento de um protótipo (piloto) para uma ferramenta de inteligência artificial. O processo inclui um teste piloto, testes e treinamento, validação e implementação. Resultados. Neste estágio inicial do teste piloto da ferramenta, o foco principal foi identificar padrões provenientes das diferentes fontes de informação coletadas pelas organizações de saúde. Esta análise revelou oportunidades para a geração de conhecimento, facilitou a implementação acelerada das diretrizes e aumentou a eficiência dos recursos. Discussão. A concentração num modelo baseado em dados para informar as melhores práticas para a implementação de diretrizes e identificar intervenções com maior impacto é facilitada pelo amplo armazenamento interno de dados. A triangulação de abordagens para o desenvolvimento, implementação e avaliação das diretrizes contribui para o desenvolvimento de inteligência artificial e metodologias de aprendizagem automática cientificamente validadas. Conclusão. Qualquer técnica de inteligência artificial requer uma grande quantidade de dados. Para fornecer às organizações de saúde a melhor evidência disponível, é preciso fazer esforços significativos para estruturar a coleta de dados e garantir a qualidade dos dados antes de expandir o desenvolvimento de ferramentas de inteligência artificial. Palavras-chave: Guias de Prática Clínica como Assunto; Enfermagem Baseada em Evidências; Aprendizado de Máquina; Inteligência Artificial; Sistemas de Informação em Saúde

Copyright of Journal of Nursing & Health is the property of Journal of Nursing & Health (JONAH) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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ABSTRACT Introduction. Artificial intelligence and machine learning are technologies that assist in uncovering patterns in data that can inform clinical decision-making. The Registered Nurses’ Association of Ontario has used artificial intelligence techniques to assist in understanding impactful clinical practices and implementation strategies. This scoping review aimed to discover the adaptation and implementation of various artificial intelligence and machine learning techniques in various healthcare settings using different data systems that house nursing-related data. Methodology. In March 2022, a scoping review was conducted to search for peer-reviewed literature using the following terms: “nursing”, “artificial intelligence”, “data systems”, “statistics”, and “aggregated data”. Studies were excluded if they were not relevant to nursing, utilized qualitative or mixed-methods analyses, were literature review articles, and did not focus on artificial intelligence or the use of patient-level data. Results. A total of 2,627 articles were retrieved, with 1,518 articles remaining after de-duplication. Through title and abstract screening, 1,347 articles remained. Following the full-text screening, 13 studies remained. Artificial intelligence techniques used by healthcare data systems include regression, neural networks, classification, and graph-based methods, among others. Discussion. There is a gap in the application of artificial intelligence methods in data systems that evaluate the impact of implementing best practices in nursing. More data systems are needed that employ artificial intelligence techniques to support the evaluation of best practices in nursing and other health professions. Conclusions. Various artificial intelligence techniques in data systems housing nursing-related data were retrieved. However, more data systems and research are needed in this area. Keywords: Practice Guidelines as Topic; Evidence-Based Nursing; Machine Learning; Artificial Intelligence; Health Information Systems RESUMEN Introducción. La inteligencia artificial y el aprendizaje automático son tecnologías que ayudan a descubrir patrones en los datos que pueden informar la toma de decisiones clínicas. La Asociación de Enfermeras Registradas de Ontario ha utilizado técnicas de inteligencia artificial para ayudar a comprender las prácticas clínicas que generan impacto y las estrategias de implementación. El objetivo de esta revisión es descubrir la adaptación e implementación de diversas técnicas de inteligencia artificial y aprendizaje automático en varios entornos sanitarios, utilizando diferentes sistemas de datos que almacenan datos relacionados con la enfermería. Metodología. En marzo de 2022, se realizó una revisión de alcance para buscar literatura revisada por pares utilizando los siguientes términos: «enfermería», «inteligencia artificial», «sistemas de datos», «estadística» y «datos agregados». Se excluyeron los estudios si no eran relevantes para la enfermería, utilizaban análisis cualitativos o de métodos mixtos, si eran artículos de revisión bibliográfica y no se centraban en la inteligencia artificial o en el uso de datos a nivel de paciente. Resultados. Se recuperó un total de 2,627 artículos, de los cuales 1,518 quedaron tras la eliminación de duplicados. Tras la revisión de títulos y resúmenes, quedaron 1,347 artículos. Posteriormente, con la revisión del texto completo, quedaron 13 estudios. Las técnicas de inteligencia artificial utilizadas por los sistemas de datos sanitarios incluyen, entre otras, la regresión, las redes neuronales, la clasificación y los métodos basados en gráficos. Discusión. Existe un vacío en la aplicación de métodos de inteligencia artificial en los sistemas de datos que evalúan el impacto de la implementación de buenas prácticas en enfermería. Se necesitan más sistemas de datos que empleen técnicas de inteligencia artificial para apoyar la evaluación de buenas prácticas en enfermería y otras profesiones de la salud. Conclusiones. Se recuperaron diversas técnicas de inteligencia artificial en sistemas de datos que almacenan datos relacionados con la enfermería. Sin embargo, se necesitan más sistemas de datos e investigación en este ámbito. Palabras clave: Guías de Práctica Clínica como Asunto; Enfermería Basada en la Evidencia; Aprendizaje Automático; Inteligencia Artificial; Sistemas de Información en Salud RESUMO Introdução. A inteligência artificial e o aprendizado de máquina são tecnologias que ajudam a descobrir padrões em dados que podem informar a tomada de decisões clínicas. A Associação de Enfermeiras Registradas de Ontário vem utilizando técnicas de inteligência artificial para ajudar a entender as práticas clínicas que geram impacto e as estratégias de implementação. O de máquina em diversos ambientes de saúde, utilizando diferentes sistemas de dados que armazenam dados relacionados à enfermagem. Metodologia. Em março de 2022, foi realizada uma revisão de escopo para pesquisar literatura revisada por pares usando os seguintes termos: «enfermagem», «inteligência artificial», «sistemas de dados», «estatísticas» e «dados agregados». Foram excluídos os estudos que não se mostravam relevantes para a enfermagem, utilizavam análises qualitativas ou de métodos mistos, se eram de artigos de revisão de literatura e não focavam na inteligência artificial ou no uso de dados no nível do paciente. Resultados. Foram recuperados 2,627 artigos no total, dos quais 1,518 permaneceram após a eliminação das duplicatas. Após a revisão de títulos e resumos, restaram 1,347 artigos. Posteriormente, com a revisão do texto completo, restaram 13 estudos. As técnicas de inteligência artificial usadas pelos sistemas de dados de saúde incluem, entre outras, regressão, redes neurais, classificação e métodos baseados em gráficos. Discussão. Existe uma lacuna na aplicação de métodos de inteligencia artificial em sistemas de dados que avaliam o impacto da implementação de boas práticas de enfermagem. São necessários mais sistemas de dados que implementem técnicas de inteligência artificial para apoiar a avaliação de boas práticas em enfermagem e outras profissões de saúde. Conclusões. Diversas técnicas de inteligência artificial foram recuperadas em sistemas de dados que armazenam dados relacionados à enfermagem. No entanto, são necessários mais sistemas de dados e investigação nesta área. Palavras-chave: Guias de Prática Clínica como Assunto; Enfermagem Baseada em Evidências; Aprendizado de Máquina; Inteligência Artificial; Sistemas de Informação em Saúde

En el presente artículo se sistematizaron las principales acciones de transformación digital (TD) de los sistemas de salud que abordan a las funciones esenciales de la salud pública (FESP). Se realizó una revisión narrativa, donde se interrelacionó el marco conceptual de las funciones esenciales de la salud pública renovadas con los ocho principios rectores de la transformación digital del sector de la salud. En las publicaciones seleccionadas, se halló que las principales acciones de la TD comprenden la historia clínica electrónica, la telemedicina, la legislación en salud digital, la alfabetización digital, los portales del paciente, las tecnologías de código abierto y la gobernanza de datos. Estas acciones posibilitan aumentar la calidad y la eficiencia de los sistemas de salud, favorecer la accesibilidad y mejorar los resultados de salud.

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Objetivo: identificar la frecuencia de notificación de casos de violencia interpersonal contra adolescentes en Espírito Santo, Brasil, y los factores asociados. Método: estudio transversal realizado entre 2011 y 2018 con datos del Sistema de Información sobre Problemas de Salud de Notificación Obligatoria. Las asociaciones se sometieron a las pruebas chi-cuadrado de Pearson y regresión de Poisson. Resultados: la frecuencia de violencia interpersonal fue del 72,2%. El desenlace se asoció con adolescentes varones, de 10 a 12 años de edad, de raza negra/morena y sin discapacidades/trastornos; al igual que con incidentes en la vía pública y agresores del sexo masculino bajo sospecha de consumo de alcohol (p

Objetivo: analizar los indicadores de gestión de salud relacionados con el servicio móvil de atención de urgencias en el Estado de Ceará. Método: se trata de un estudio documental, retrospectivo, de abordaje cuantitativo, realizado en el sitio IntegraSUS del gobierno del estado de Ceará - Brasil, en el período de julio de 2021, para el análisis de los indicadores "total de llamadas" y "tiempo medio de respuesta". Resultados: se verificó un perfil de prevalencia de llamadas para hombres (52,66%), con edad avanzada >70 años (22,06%), ocurrencias de asistencia del Covid-19 para la Central Juazeiro (7,62%) y accidentes de motocicleta para la Central Eusébio (7,94%). El servicio obtuvo llamadas para 177 municipios de Ceará (96,19%) con un tiempo medio de respuesta mayor para Covid-19. Conclusión: el análisis señala la necesidad de ajustar las estrategias para mejorar el rendimiento del tiempo de respuesta del servicio, con una revisión del sistema organizativo, incluida la publicación de datos por la plataforma digital.

Objetivo. Comparar la diferencia en la cobertura y proporción de pacientes controlados con hipertensión arterial sistémica entre diciembre de 2020 y diciembre de 2021 en los establecimientos de salud con implementación de la Iniciativa HEARTS, y explorar los facilitadores y las barreras relacionados con los sistemas de información en México. Métodos. Estudio observacional ecológico descriptivo. Se compararon los resultados de los establecimientos de salud que han iniciado la implementación de la Iniciativa HEARTS (n=29) en Chiapas y Sonora, respecto a las variables de cobertura de atención y control de la hipertensión, en 4 periodos (semestres) del 2020 al 2021. Resultados. Existe mayor número de mujeres en tratamiento y en control respecto de los hombres en los diferentes grupos de edad. Se identificaron algunas barreras (p. ej.multiplicidad de sistemas, falta de interoperabilidad, conectividad limitada a internet en los establecimientos de salud) y facilitadores (p. ej.acceso libre a la información, disponibilidad de datos desde años previos, generación de estimaciones y proyecciones) en los sistemas de información. Conclusiones. El 55% de los establecimientos bajo implementación (16 establecimientos) mejoraron la proporción de pacientes controlados en el periodo analizado. Es importante monitorear indicadores a nivel de procesos, lo cual debe ir acompañado de una redistribución de las funciones de los equipos de salud y asegurar el abastecimiento de medicamentos para potenciar la efectividad de la estrategia. Se sugiere fortalecer la implementación con los impulsores clave para el control de la hipertensión.

En este artículo se describen ocho principios rectores para la transformación digital del sector de la salud, se establece su relación con la pandemia de COVID-19 y se destaca su importancia para los países que se encuentran en un proceso de transformación digital. En la Región de las Américas, 30% de las personas no tiene acceso a Internet, entre otras brechas, por lo que es imperativo adoptar políticas y medidas para que la implementación de las intervenciones de salud pública sea equitativa y sostenible, de manera de garantizar que nadie se quede atrás. Los ocho principios se centran en las cuatro esferas de un sistema de salud sostenible (humana, social, económica y ambiental) y ponen de relieve las posibilidades más amplias de utilizar las tecnologías digitales para incidir en la sostenibilidad de los sistemas de salud.

Objective: to characterize the notifications of malaria in pregnant women in the municipality of Oiapoque. Method: documentary, descriptive, retrospective and quantitative study, conducted from secondary data of the Epidemiological Surveillance System of Malaria in Oiapoque-Amapá, Brazil, from 2013 to 2017. The following variables of autochthonous cases of malaria in pregnant women are addressed: year, month of occurrence, gestational age, Plasmodium infecting species and notification unit. Data were presented and analyzed using descriptive statistics and formulation of spatial distribution maps, generated by ArcGIS software. Results: notifications predominated in urban areas, especially in the Paraíso neighborhood (74%), with Plasmodium Vivax being the main agent (88%), and with a higher incidence between October and December (33%), in the third gestational quarter (35%). Conclusion: the profile of reports of malaria in pregnant women of this municipality resembles previous studies in this region, regarding the place of concentration and period of greater occurrence. However, the gradual introduction of the protozoan Plasmodium falciparum brings an alert to the mobilization of managers and professionals. [ABSTRACT FROM AUTHOR]

Implemented in 2003, the National Oral Health Policy currently faces a scenario of lack of funding and political prioritization. In this context, the identification of possible local and regional setbacks is fundamental. Thus, the dental care in the Northern macro-region of Paraná between 2013 and 2019 was evaluated through an exploratory study performed based on secondary data from the Unified Health System Outpatient Information System and the public reports of the e-Gestor platform. When analyzing the averages of basic individual dental procedures and collective oral health actions, the coverage of the first programmatic dental consultation, the total number of oral health teams by modality, the coverage of oral health teams and the traditional model, and the ratio between the population and the total number of oral health teams, we observed falls, especially from 2017, in all of these indicators. The results place the macro-region analyzed in a worrisome context and puts other localities on alert, as they show dismantling that inflicts risk to the historical achievements of confronting oral health inequities and overcoming a curative and mutilating dental care model. [ABSTRACT FROM AUTHOR]

This article systematizes the main actions taken to address the essential public health functions (EPHF) in the context of the digital transformation of health systems. A narrative review was conducted, in which the conceptual framework of the renewed EPHF was linked to the eight guiding principles of the digital transformation of the health sector. In the selected publications, the main actions in digital transformation included electronic health records, telemedicine, digital health legislation, digital literacy, patient portals, open-source technologies, and data governance. These actions make it possible to increase the quality and efficiency of health systems, promote accessibility, and improve health outcomes. [ABSTRACT FROM AUTHOR]

Objective: to analyze training processes of health managers and professionals in the implementation of the e-SUS Primary Care strategy in cities of Minas Gerais. Method: online questionnaires of the websurvey type were sent to the managers responsible for the implementation of the strategy in the selected cities; the data were processed with the aid of the statistical software Statistical Package for the Social Sciences 21.0. Results: managers from 114 cities of Minas Gerais participated in the study. About 71.9% of them claimed to have participated in training processes for the performance of the function, and 52.6% of the cities did not executed training for the adoption/use of the systems to health professionals. Conclusion: the process of implementation of the e-SUS Primary Care strategy in Minas Gerais, despite developments, presents weaknesses in the adoption of training processes for professionals who use the systems. [ABSTRACT FROM AUTHOR]

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Copyright of Revista Eletrônica de Enfermagem is the property of Revista Eletronica de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ciencia, Cuidado e Saude is the property of Universidade Estadual de Maringa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: the Facultad de Tecnología de la Salud has a database in use for gathering information concerning enrolled students; however, this database does not meet the needs of the department of Sistemas de Información en Salud, it is very important for professors to have a properly information management system helps them for performing the organizational strategies required. Objective: to design a database to be use in the department of Sistemas de Información en Salud for a better information management. Method: an applied research in technological innovation was conducted at the Facultad de Tecnología de la Salud, La Habana, in the period November 2020 - February 2021. A relational database was designed for practical usage. Theoretical and empirical methods were used, including the use of the interview methods focused on obtaining a better description of the department's needs, designing properly through logical and conceptual models the proposed databases. Microsoft Access database engine 2019 was used to build and implemented the databases. Results: the database was developed using the Entity-Relationship model. The entity-relationship diagram and a relational database schema were obtained. By using the Microsoft Access software were built different tables with their respective links, queries, forms and reports. Conclusions: it was designed and implemented a database that satisfies the functional requirements with which the department of Sistemas de Información en Salud will be able to manage its data, in a centralized and efficient manner. The designing and implementation processes of the database were described.

To describe the use of the e-SUS Primary Care strategy in the work processes of Consultório na Rua teams. Descriptive exploratory study with a qualitative approach carried out with 20 professionals who make up three teams of Offices on the Street in the central region of Brazil. The data collection instruments were: professional contextualization questionnaire, focus group and field diary. Data were submitted to content analysis, thematic modality. Two thematic categories emerged: Strategy e-SUS Primary Care in the work processes of the Street Clinic teams and Strategy e-SUS Primary Care in the light of professionals. The records carried out via e-SUS APS are not valued by the health services as they still prioritize the filling of information manually in other sources. Training is necessary for teams to be competent in the use of this tool. [ABSTRACT FROM AUTHOR]

To describe the methodological aspects related to the development of the database regarding the health of the Tapeba indigenous population in the municipality of Caucaia-Ceará. Documentary, descriptive study with a qualitative approach on a data management plan developed for the collection of data regarding the occurrence of chronic diseases recorded in registration forms, in the Tapeba indigenous population of Caucaia, Ceará, carried out from July 2021 to October de 2022. Six phases were structured for data management: I search for information; II registration form as data source; III selection of variables; IV double-entry data collection; V compilation of information in a single worksheet; VI database structuring, with completeness assessment and subsequent analysis. The selection of the source of information and data management are fundamental parts of any research, directly interfering with the results, making a well-designed process necessary. [ABSTRACT FROM AUTHOR]

Copyright of Cadernos de Saude Publica is the property of Escola Nacional de Saude Publica Sergio Arouca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study evaluated available scientific evidence on the epidemiological characteristics of psychiatric hospitalizations. A search was carried out for articles in the VHL and PubMed databases, published between 2016 and 2021, on psychiatric hospitalizations registered from the perspective of DATASUS data. 13 articles were evaluated quantitatively and qualitatively. The results obtained depend on the variables used, due to the characteristics of the disorders, biopsychosocial profiles, culture, access to the health system and political issues in mental health. Over the years, the rate and length of hospital stays have been reduced, especially in long-term hospitalizations. Men are the individuals who most undergo psychiatric hospitalizations, especially in disorders related to substance use and abuse. The most serious disorders are the most sensitive to public policies, as they are the ones who most access mental health services and are more vulnerable to the harmful effects of the disorders. [ABSTRACT FROM AUTHOR]

INTRODUCTION: The future health information systems professional must develop necessary skills for fulfillment in action modes as society expects from him, in the areas of Information in Health. OBJECTIVE: to explain the importance of informational competencies development in SIS students. METHOD: A qualitative study of a descriptive nature was carried out that allowed to analyze, synthesize documents and bibliography during the second semester of the 2019-2020 academic year. RESULTS: Theoretical systematizations of different national of concepts of professional and informational competences were carried out, defining as informational competences "The system of knowledge, skills and values, who train future SIS professionals to determine when they need information, how to locate it, how to assess their suitability, and give them proper professional use; through the efficient use of ICTs in health information management processes." CONCLUSIONS: The Bachelor of HIS is a professional who must have technical, teaching and scientific competences, in the term informational competence. [ABSTRACT FROM AUTHOR]

Copyright of Cadernos de Saude Publica is the property of Escola Nacional de Saude Publica Sergio Arouca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cadernos de Saude Publica is the property of Escola Nacional de Saude Publica Sergio Arouca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article describes eight guiding principles for the digital transformation of the health sector and identifies their relationship with the COVID-19 pandemic, as well as highlighting their importance to countries undergoing digital transformation processes. In the Region of the Americas, among other gaps, 30% of people do not have access to the Internet, which is why it is mandatory to develop policies and actions to deliver public health interventions equitably and sustainably to ensure that no one is left behind. The eight principles focus on the four areas of a sustainable health system -- human, social, economic and environmental -- and highlight the broader possibilities using digital technology to impact the sustainability of health systems. [ABSTRACT FROM AUTHOR]

Objective. To compare the differences in treatment coverage of patients with systemic arterial hypertension and the proportion of patients with controlled AHT, between December 2020 and December 2021 in health facilities that implemented the HEARTS Initiative, and to explore the facilitators and barriers related to information systems in Mexico. Methods. Descriptive ecological observational study. The results at health facilities that have begun implementing the HEARTS Initiative (n=29) in Chiapas and Sonora were compared, with respect to the variables of treatment coverage and control of AHT, across four periods (semesters) in 2020 and 2021. Results. There were more women than men in treatment and with controlled AHT in the different age groups. Some barriers were identified in information systems (e.g., multiplicity of systems, lack of interoperability, limited internet connectivity in health facilities), as well as facilitators (e.g., free access to information, availability of data from previous years, generation of estimates and projections). Conclusions. Sixteen (55%) of the implementing facilities improved the proportion of patients with controlled AHT in the period covered by the study. It is important to monitor indicators at the process level, and this should be accompanied by a redistribution of functions in health teams. It is also important to ensure a supply of medicines to enhance the effectiveness of the strategy. It is suggested to strengthen implementation with the key drivers for the control of arterial hypertension. [ABSTRACT FROM AUTHOR]

Objective: to analyze epidemiological data regarding suicide deaths in Brazil from 2010 to 2019. Method: retrospective, quantitative research, whose data were obtained in December 2020 in the database of the Departamento de Informática of the Brazilian Sistema Único de Saúde. Results: between 2010 and 2019, Brazil recorded, on an annual basis, 112,166 deaths by suicide, with a mortality rate due to this cause of 6.4/100,000 inhabitants in 2019. Males were the majority, in the proportion of 8:2, on average, with a trend of growth in mortality rates for men and women. Conclusion: suicide mortality rates in Brazil increased significantly and with an increasing trend in all Brazilian regions and in 19 Federation Units. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira em Promoção da Saúde is the property of Revista Brasileira em Promocao da Saude and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Texto & Contexto Enfermagem is the property of Universidade Federal de Santa Catarina, Programa de Pos-Graduacao de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Texto & Contexto Enfermagem is the property of Universidade Federal de Santa Catarina, Programa de Pos-Graduacao de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Texto & Contexto Enfermagem is the property of Universidade Federal de Santa Catarina, Programa de Pos-Graduacao de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cadernos de Saude Publica is the property of Escola Nacional de Saude Publica Sergio Arouca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

El 11 de marzo de 2020, la Organización Mundial de la Salud (OMS) declaró el COVID-19 como pandemia, afectando drásticamente la atención de la salud. A nivel global se adoptaron medidas como el distanciamiento social y la cuarentena. Ello representó un enorme desafío para los Sistemas de Información en Salud (SIS), que rápidamente debieron adaptarse, frente a una razón ineludible para abrazar por completo la transformación digital. Surge la necesidad de explorar las tecnologías digitales utilizadas durante la pandemia y considerarlas para su uso continuado en el tiempo o cíclicamente en caso de brotes recurrentes. Las herramientas informáticas se han utilizado para la prestación de servicios de telemedicina, monitorización remota de pacientes, comunicación digital entre líderes políticos y autoridades científicas, monitorización de datos para analizar la propagación y evolución del COVID-19, etc. Los países y organizaciones han impulsado el uso de soluciones tecnológicas con distintas limitaciones. El Hospital Italiano de Buenos Aires posee una trayectoria de más de 20 años en implementaciones e innovaciones tecnológicas; sin embargo, la pandemia impulsó una serie de adaptaciones en su SIS. El objetivo de este trabajo fue describir dicho proceso de adaptación digital desde marzo a diciembre de 2020, e identificar los principales resultados utilizando un modelo sociotécnico. Se empleó el modelo de Sittig que incluye 8 dimensiones: Infraestructura, Contenido clínico, Interfaz Humano-computadora, Personas, Comunicación y procesos, Regulaciones, Características organizacionales y Políticas internas y Medición y monitorización.

Objective: To identify the prevalence of notified self-inflicted injuries among adolescents in Espírito Santo and to analyze the associated factors. Materials and methods: A cross-sectional and analytical study, with the notified data of self-inflicted violence among adolescents in Espírito Santo registered in the Notifiable Diseases Information System from 2011 to 2018. The bivariate analyses considered the Chi-square (χ²) and Fisher's Exact tests. The multivariate analysis considered the log-binomial model, and the adjustment results were presented as prevalence ratio. Results: The prevalence of notified self-inflicted injuries was 33 % and, of this total, 79.8 % occurred among female adolescents. Prevalence was higher among adolescents aged from 13 to 17 years old (female gender) and from 18 to 19 years old (male gender), as well as among those with some disability or disorder. Higher prevalence values were found in the residence and in collective housing, as well as among those who did not consume alcohol at the event in question. In the female gender, there was also an association with the urban area (p < 0.05). Conclusions: hHigh prevalence of notified self-inflicted injuries is perceived among adolescents in Espírito Santo, as well as of the factors associated to this phenomenon. The importance of adopting promotion, prevention and recovery measures for the problem is verified. [ABSTRACT FROM AUTHOR]