Desarrollo y validación de una tarea experimental de Memoria Episódica verbal en español / Development and validation of an experimental verbal Episodic Memory task in Spanish

RESUMEN Propósito Elaborar y validar una tarea experimental de memoria episódica verbal en español. Método Se elaboraron seis bloques de codificación: tres profundos y tres superficiales, cado uno con distintas demandas de esfuerzo cognitivo. Los bloques fueron revisados por cuatro jueces expertos y examinados en una aplicación piloto. Se evaluó la concordancia respecto a si la tarea permitía manipular combinadamente el nivel de procesamiento y el esfuerzo cognitivo durante la codificación incidental de palabras, así como la claridad de las instrucciones, ejemplos y dinámica de trabajo. Resultados Variables como la disponibilidad léxica, metría y fuerza de asociación fueron útiles para diferenciar el esfuerzo cognitivo entre cada bloque. Los jueces concordaron que los bloques de procesamiento admiten una manipulación combinada del nivel de procesamiento y esfuerzo cognitivo y que las instrucciones son precisas. Luego del pilotaje, los participantes concordaron que las instrucciones, ejemplos y forma de trabajo eran fácil de comprender y realizar. Conclusión Los resultados proporcionan evidencia de validez relacionada con el contenido para la tarea experimental propuesta, transformándose con ello en una alternativa viable de considerar en investigaciones orientadas a identificar factores ambientales que contribuyan a compensar los defectos que muestra la memoria episódica con la edad.

ABSTRACT Purpose To develop and validate an experimental verbal episodic memory task in Spanish. Methods Six encoding blocks were elaborated, three deep and three superficial, each one with different demands of cognitive effort. The blocks were reviewed by four expert judges and tested in a pilot application. The agreement was assessed on whether the task allowed combined processing level and cognitive effort to be manipulated during incidental encoding of words, as well as clarity of instructions, examples, and workflow. Results Variables such as lexical availability, metrics, and strength of association were useful to differentiate the cognitive effort between each block. The judges agreed that the processing blocks allowed a combined manipulation of the level of processing and cognitive effort and that the instructions are precise. After the pilot, the participants agreed that the instructions, examples, and way of working were easy to understand and perform. Conclusion The results provide evidence of validity related to the content for the proposed experimental task, thus becoming a viable alternative to consider in research aimed at identifying environmental factors that contribute to compensating the defects shown by episodic memory with age.

Differentials in death count records by databases in Brazil in 2010

ABSTRACT OBJECTIVE To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. METHODS This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP - Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM - Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. RESULTS Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. CONCLUSION The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.

Potencialidades e limites do processamento de dados em pesquisas sobre a produção científica / Potential and limits of data processing in research on scientific production / Potencial y límites del procesamiento de datos en investigaciones sobre la producción científica

Este trabalho versa sobre potencialidades e limites relacionados à utilização de processamentos de dados para auxiliar na produção e sistematização de conhecimento científico. Objetiva, através de um exercício experimental envolvendo a utilização de algoritmo, discutir a viabilidade do uso de técnicas de coleta automatizada para levantamento e produção de dados utilizáveis no âmbito das pesquisas científicas. Como demonstração, busca reproduzir de maneira automatizada processos relacionados à coleta de dados de pesquisa anteriormente publicada neste periódico, descrevendo metodologicamente como foram organizados e desenvolvidos a extração e o tratamento desses dados. Como resultado, constata que o processamento automatizado pode ser uma alternativa produtiva e eficiente para auxiliar nas sistematizações e análises sobre o acumulado crescente de publicações no campo científico, podendo abrir novos caminhos metodológicos de pesquisa na Educação Física, especialmente considerando o volume de dados passível de coleta e análise em redes sociais, fóruns e outras plataformas na web. (AU)

This paper deals with potentials and limits related to the use of data processing to assist in the production and systematization of scientific knowledge. It aims, through an experimental exercise involving the use of an algorithm, to discuss the feasibility of using automated collection techniques for surveying and producing data that can be used in scientific research. As a demonstration, it seeks to automatically reproduce processes related to the collection of research data previously published in this journal, describing methodologically how the extraction and treatment of these data was organized and developed. As a result, it finds that automated processing can be a productive and efficient alternative to assist in the systematization and analysis of the growing accumulation of publications in the scientific field, which may open new methodological paths for research in Physical Education, especially considering the volume of data subject to collection and analysis on social networks, forums and other web platforms. (AU)

Este trabajo aborda las potencialidades y los límites relacionados con el uso del procesamiento de datos para ayudar en la producción y sistematización del conocimiento científico. Su objetivo, a través de un ejercicio experimental que implica el uso de un algoritmo, es discutir la viabilidad del uso de técnicas de recolección automatizada para la obtención y producción de datos que se puedan utilizar en el ámbito de las investigaciones científicas. A modo de demostración, se busca reproducir de manera automatizada procesos relacionados con la recolección de datos de una investigación previamente publicada en esta revista, describiendo metodológicamente cómo se organizó y desarrolló la extracción y el tratamiento de esos datos. Como resultado, se constata que el procesamiento automatizado puede ser una alternativa productiva y eficiente para ayudar en la sistematización y análisis de la creciente acumulación de publicaciones en el campo científico, lo que puede abrir nuevos caminos metodológicos para la investigación en Educación Física, especialmente considerando el volumen de datos que se pueden recolectar y analizar en redes sociales, foros y otras plataformas web. (AU)

Sistema multiplataforma innovador para el control de emergencias, inventario y recurso humano de la Cruz Roja Salvadoreña: en asocio con la Cruz Roja Salvadoreña de Chinameca, San Miguel / Innovative multiplatform system for the control of emergencies, inventory and human resources of the Salvadoran Red Cross: in association with the Salvadoran Red Cross of Chinameca, San Miguel

En el presente informe, se encontrará con el estudio sobre el desarrollo de un sistema multiplataforma para el control de operaciones de emergencias, inventario y recurso humano de la Cruz Roja Salvadoreña del municipio de Chinameca, San Miguel, cuyos objetivos fueron diseñar un modelado de datos relacional con características de escalabilidad y definir procesos en el software que se acoplen a las necesidades actuales de la Cruz Roja y las solventen. Para el desarrollo de la investigación se realizó el diseño de interfaces que mejoren la experiencia de usuario en el uso de la plataforma. Finalmente se capacitó al personal en el uso de la plataforma.El diseño del modelado de datos relacional implementado en este sistema informático permite su adaptación a los cambios gracias al funcionamiento lógico del sistema, facilitando de esta manera su actualización a nuevas versiones y tecnologías sin afectar su rendimiento

In this report, the development of a multiplatform system for the control of emergency operations, inventory and human resources of the Salvadoran Red Cross of the municipality of Chinameca, San Miguel, will be explained. The objectives were to design a data modeling relational with scalability characteristics, processes and to define in the software the current needs of the Red Cross and solve them. For the development of the research, the design of interfaces that improve the user experience in the use of the platform was carried out. Finally, the personnel were trained in the use of the platform. The data modeling relational design implemented in this system allows the adaptation to changes thanks to logic system performance, making easier the updating to new versions and technologies without affecting his efficiency

Concordância e validade dos diagnósticos de cânceres associados ao asbesto no sistema de informação hospitalar do Sistema Único de Saúde / Agreement and validity of asbestos-related cancers in the hospital information system of the Brazilian Unified Health System

RESUMO: Objetivo: Estimar o grau de concordância e validade dos diagnósticos de neoplasias malignas relacionadas à exposição ao asbesto registrados no Sistema de Informação Hospitalar do Sistema Único de Saúde (SIH/SUS), em comparação aos Registros Hospitalares de Câncer do Estado de São Paulo (RHC/SP). Métodos: Óbitos com registros de neoplasias malignas associadas ao asbesto foram identificados e extraídos do SIH/SUS entre 2007 e 2014. Óbitos nos casos de câncer registrados na base do RHC/SP foram extraídos para o mesmo período. Essas bases foram unidas pelos mesmos indivíduos empregando-se o software Link Plus. Um único diagnóstico codificado pela CID-O3 ou CID-10 selecionado de cada sistema foi analisado. A proporção de concordância e a sensibilidade, especificidade e valores preditivos foram estimados. Resultados: Encontraram-se 19.458 pares com registros nas duas bases. A proporção de concordância foi elevada, variando de 92,4% para a localização primária desconhecida a 99,7% para o câncer de pleura. O índice Kappa variou de 0,05 (IC95% 0,04 - 0,07) para o câncer de pleura a 0,85 (IC95% 0,84 - 0,87) para o câncer de pulmão. A menor sensibilidade foi de 0,08 (IC95% 0,01 - 0,25), para o câncer de pleura, e a maior de 0,90 (IC95% 0,90 - 0,91), para o câncer de pulmão. Conclusão: Diagnósticos de neoplasias malignas associadas ao asbesto alcançaram maiores níveis de concordância e validade quando comuns. Os diagnósticos mais raros apresentaram baixa acurácia no SIH/SUS.

ABSTRACT: Objective: To estimate the degree of agreement and validity of diagnoses of asbestos-related malignant neoplasms registered in the Hospital Information System of the Brazilian Unified Health System (SIH/SUS), in comparison to the Hospital Cancer Registries of the State of São Paulo (HCR/SP). Methods: Deaths with records of malignant neoplasms associated with asbestos were identified and extracted from SIH/SUS between 2007 and 2014. Deaths in cases registered in the HCR/SP were extracted for the same period. The databases were linked using software Link Plus. A single ICD-10-coded diagnosis selected from each system was analyzed. The proportion of agreement, and the sensitivity, specificity and predictive values were estimated. Results: 19,458 pairs were found with records in both bases. The proportion of agreement was high, ranging from 92.4% for the unknown primary site, to 99.7% for cancer of the pleura. The Kappa Index ranged from 0.05 (95%CI 0.04 - 0.07) for cancer of the pleura to 0.85 (95%CI 0.84 - 0.87) for lung cancer. Sensitivity varied from 0.08 (95%CI 0.01 - 0.25) for cancer of the pleura, to 0.90 (95%CI 0.90 - 0.91) for lung cancer. Conclusion: Diagnosis of asbestos-related malignancies reached higher levels of agreement and validity when common. Rare diagnoses showed low accuracy in SIH/SUS.

Vinculación de datos administrativos y su utilidad en salud pública: el caso de Ecuador / Administrative data linkage and its usefulness in public health: the case of Ecuador / Vinculação de dados administrativos e sua utilização em saúde pública: o caso do Equador

RESUMEN Los objetivos de este artículo son describir las características del abordaje de vinculación de bases de datos administrativos y sus usos en investigación en salud pública, y discutir las potencialidades y retos para su implementación en Ecuador. La vinculación de bases de datos permite integrar datos de una misma persona dispersos en distintos subsectores como salud, educación, justicia, inmigración y programas sociales, y posibilita investigaciones que informen una gestión más eficiente de programas y políticas sociales y de salud. Las principales ventajas del uso de bases de datos relacionadas son la diversidad de datos, la cobertura poblacional, la estabilidad temporal y el costo menor en comparación con la recolección de datos primarios. A pesar de la disponibilidad de herramientas para procesar, vincular y analizar grandes conjuntos de datos, el uso de este abordaje es mínimo en los países de América Latina. Ecuador tiene un alto potencial para explotar este abordaje, debido a la obligatoriedad del uso de un identificador único en la prestación de servicios de salud, que permite la vinculación con otros sistemas de información nacionales. Sin embargo, enfrenta una serie de retos técnicos, ético-legales, culturales y políticos. Para aprovechar su potencial, Ecuador necesita desarrollar una estrategia de gobernanza de datos que incluya normativas de acceso y uso de los datos, de manera simultánea con mecanismos de control y calidad de los datos, una mayor inversión en formación profesional en el uso de los datos dentro y fuera del sector salud, y colaboraciones entre entidades gubernamentales, universidades y organizaciones de la sociedad civil.

ABSTRACT The objective of this article is to describe the characteristics of addressing the linkage of administrative databases and the uses of such linkages in public health research, and also to discuss the opportunities and challenges for implementation in Ecuador. The linkage of databases makes it possible to integrate a person's data that may be scattered across different subsectors such as health, education, justice, immigration, and social programs. It also facilitates research that can inform more efficient management of social and health programs and policies. The main advantages of using linked databases are: diversity of data, population coverage, stability over time, and lower cost in comparison to primary data collection. Despite the availability of tools to process, link, and analyze large data sets, there has been minimal use of this approach in Latin American countries. Ecuador is well positioned to implement this approach, due to compulsory use of a unique ID in health services delivery, which permits linkages with other national information systems. However, the country faces several cultural, technical, ethical, legal, and political challenges. To take advantage of its potential, Ecuador needs to develop a data governance strategy that includes standards for data access and data use, as well as mechanisms for data control and quality, greater investment in professional training in data use both within and beyond the health sector, and collaborations between government entities, universities, and civil society organizations.

RESUMO Os objetivos deste artigo são descrever as características do método de vinculação de bancos de dados administrativos e sua utilização em pesquisa em saúde pública e examinar o potencial e os desafios para sua implementação no Equador. A vinculação de bancos de dados possibilita integrar dados de uma mesma pessoa dispersos em subsetores diversos como saúde, educação, justiça, imigração e programas sociais e realizar pesquisas para subsidiar a gestão mais eficiente de programas e políticas sociais e de saúde. Entre as principais vantagens de utilizar bancos de dados vinculados estão diversidade dos dados, cobertura populacional, estabilidade temporal e custo menor em comparação à coleta de dados primários. Apesar de existirem ferramentas para processar, vincular e analisar grandes conjuntos de dados, a utilização deste método é mínima nos países da América Latina. O Equador possui um grande potencial para beneficiar-se com este método devido à obrigatoriedade do uso de um identificador único na prestação de serviços de saúde, o que permite a vinculação com outros sistemas de informação nacionais, mas enfrenta uma série de desafios técnicos, éticos-legais, culturais e políticos. Para aproveitá-lo, o país precisa elaborar uma estratégia de governança de dados contendo um conjunto de normas para o acesso e a utilização simultâneos com mecanismos de controle e qualidade dos dados, maior investimento em formação profissional no uso dos dados dentro e fora da área da saúde e colaboração entre entidades governamentais, universidades e organizações da sociedade civil.

Sistema multiplataforma para el análisis de pruebas psicométricas y evaluación de indicadores de personalidad, actitud y rendimiento académico en estudiantes de nuevo ingreso en educación media y técnica / Multiplatform system for the analysis of psychometric tests and evaluation of indicators of personality, attitude and academic performance in new students in secondary and technical education

Este proyecto de investigación aplicada permite analizar, diseñar y construir un sistema informático que sirve de apoyo para la asignación y calificación de pruebas psicométricas, las cuales servirán a los especialistas en el área de psicología en la toma de decisiones, sobre el comportamiento y otros indicadores de los estudiantes de nuevo ingreso. El sistema multiplataforma desarrollado, permite automatizar el proceso de realizar las pruebas psicométricas a aspirantes de nuevo ingreso a fin de identificar posibles desertores. El diseño del modelo de datos relacional del sistema, permite además utilizarse en línea en diferentes instituciones, con diferentes test y diferentes usuarios al mismo tiempo, sin afectar su rendimiento.

This applied research project allows to analyze, design and build a computer system that supports the assignment and qualification of psychometric tests, which will serve specialists in the area of ​​psychology in decision-making, behavior and other indicators. The multiplatform system developed makes it possible to automate the process of conducting psychometric tests on newly admitted applicants in order to identify possible dropouts. The design of the relational data model of the system also allows it to be used online in different institutions, with different tests and different users at the same time, without affecting its performance.

Obtención automática de palabras clave en textos clínicos: una aplicación de procesamiento del lenguaje natural a datos masivos de sospecha diagnóstica en Chile / Automatic keyword retrieval from clinical texts: an application of natural language processing to massive data of Chilean suspected diagnosis

Background: Free-text imposes a challenge in health data analysis since the lack of structure makes the extraction and integration of information difficult, particularly in the case of massive data. An appropriate machine-interpretation of electronic health records in Chile can unleash knowledge contained in large volumes of clinical texts, expanding clinical management and national research capabilities. Aim: To illustrate the use of a weighted frequency algorithm to find keywords. This finding was carried out in the diagnostic suspicion field of the Chilean specialty consultation waiting list, for diseases not covered by the Chilean Explicit Health Guarantees plan. Material and Methods: The waiting lists for a first specialty consultation for the period 2008-2018 were obtained from 17 out of 29 Chilean health services, and total of 2,592,925 diagnostic suspicions were identified. A natural language processing technique called Term Frequency-Inverse Document Frequency was used for the retrieval of diagnostic suspicion keywords. Results: For each specialty, four key words with the highest weighted frequency were determined. Word clouds showing words weighted by their importance were created to obtain a visual representation. These are available at cimt.uchile.cl/lechile/. Conclusions: The algorithm allowed to summarize unstructured clinical free-text data, improving its usefulness and accessibility.

Aplicación de tecnología mHealth para la modernización y automatización de los servicios de clínicas empresariales: aplicación en Clínica Empresarial del Ministerio de Relaciones Exteriores / Application of mHealth technology for the modernization and automation of company clinic services: application in the Company Clinic of Ministerio de Relaciones Internacionales

La Escuela de Ingeniería en Computación en asocio con la Clínica Empresarial del Ministerio de Relaciones Exteriores, elaboró en 2018 el proyecto "Aplicación de tecnología mHealth para la modernización y automatización de los servicios de clínicas empresariales" como una estrategia de optimización en el proceso de citas y generación de datos estadísticos para la toma de decisiones que esta posee. Con el desarrollo de este proyecto, el principal resultado obtenido es el de proveer a la Clínica Empresarial de una herramienta de software innovadora, la cual va en beneficio del personal y de cualquier clínica empresarial que requiera implementar este proyecto.

The Escuela en Ingeniería en Computación in association with the Company Clinic of Ministerio de Relaciones Internacionales, developed in 2018 the project "Application of mHealth technology for the modernization and automation of business clinic services" as an optimization strategy in the appointment process and generation of statistical data for decision-making that it has. With the development of this project, the main result obtained is to provide the Company Clinic with an innovative software tool, which benefits the staff and any business clinic that needs to implement this project.

Blockchain Applications for Healthcare Data Management / 대한의료정보학회지

OBJECTIVES: This pilot study aimed to provide an overview of the potential for blockchain technology in the healthcare system. The review covers technological topics from storing medical records in blockchains through patient personal data ownership and mobile apps for patient outreach. METHODS: We performed a preliminary survey to fill the gap that exists between purely technically focused manuscripts about blockchains, on the one hand, and the literature that is mostly concerned with marketing discussions about their expected economic impact on the other hand. RESULTS: The findings show that new digital platforms based on blockchains are emerging to enabling fast, simple, and seamless interaction between data providers, including patients themselves. CONCLUSIONS: We provide a conceptual understanding of the technical foundations of the potential for blockchain technology in healthcare, which is necessary to understand specific blockchain applications, evaluate business cases such as blockchain startups, or follow the discussion about its expected economic impacts.

PACS Implementation Challenges in a Public Healthcare Institution: A South African Vendor Perspective / 대한의료정보학회지

OBJECTIVES: Conventional radiological processes have been replaced by digital images and information technology systems within South Africa and other developing countries. Picture Archiving and Communication Systems (PACS) technology offers many benefits to institutions, medical personnel and patients; however, the implementation of such systems can be a challenging task. It has been documented that South Africa has been using PACS for more than a decade in public hospitals with moderate success. The aim of this study was to identify and describe the PACS challenges endured by PACS vendors during implementation in the South African public healthcare sector. METHODS: This was achieved by engaging in a methodological approach that was qualitative in nature collecting data through semi structured interviews from 10 PACS experts/participants which were later analysed qualitatively. RESULTS: The findings show that PACS vendors have countless challenges, some of which include space, insufficient infrastructure, image storage capacity, system maturity and vendor related concerns. It was clear that the PACS experts readily offered contextually appropriate descriptions of their encounters during PACS implementations in South African public healthcare institutions. CONCLUSIONS: PACS vendors anticipate these challenges when facing a public healthcare institution and it is recommended that the hospital management and potential PACS stakeholders be made aware of these challenges to mitigate their effects and aid in a successful implementation.

Mapeamento terminológico no domínio da radiologia obstétrica: estudo estatístico a partir de ontologias / Terminological mapping in the domain of the obstetric radiology: a statistical study based on ontologies / Mapeamiento terminológico en el dominio de la radiología obstétrica: estudio estadístico a partir de ontologías

Este artigo tem como base um estudo em que foram levantados e organizados termos do domínio da radiologia obstétrica e, então, foi identificado se os mesmos estão compreendidos em quatro distintos vocabulários controlados: OntoNeo, RadLex, LOINC e SNOMED. É apresentado o Sistema Integrado Catarinense de Telemedicina e Telessaúde (STT/SC) e o projeto de estruturação de laudos de exames de radiologia obstétrica, bem como o contexto teórico da ciência da informação sobre vocabulários controlados.Foram realizadas uma pesquisa de campo para o levantamento dos termos junto a um especialista da área e uma pesquisa documental para o levantamento estatístico dos termos em vocabulários controlados.Constituiu-se uma hierarquia dos termos levantados e verificou-se a cobertura de cada um dos vocabulários controlados em relação aos termos. O SNOMED é o vocabulário controlado com maior potencial de uso para a indexação de laudos no domínio da radiologia obstétrica.(AU)

This article bases on a study in which terms of the obstetric radiology domain were collected and arranged, and then we identified whether they are comprised in four distinct controlled vocabularies: OntoNeo, RadLex, LOINC and SNOMED. We present the STT/SC ­ Sistema Integrado Catarinense de Telemedicina e Telessaúde (Santa Catarina's integrated system of telemedicine and tele health) and theproject of structuring diagnostic reports of tests in obstetric radiology, as well as the theoretical contextof information science about controlled vocabulary. We carried out a survey of the terms jointly an expertand a documentary research to the statistical survey of the terms from controlled vocabularies. A hierarchy of the terms collected was established and the coverage of each of the controlled vocabularies in relation to the terms was verified. The SNOMED is the controlled vocabulary with greater potential of use for theindexation of diagnostic reports in the field of obstetric radiology.

Este artículo se basa en un estudio en el cual fueron levantados y arreglados términos del dominio de la radiología obstétrica, y entonces fue identificado si los mismos están comprendidos en cuatro distintos vocabularios controlados: el OntoNeo, el RadLex, el LOINC y el SNOMED. Presentamos el STT/SC ­ Sistema Integrado Catarinense de Telemedicina e Telessaúde (sistema integrado catarinense de telemedicina y telesalud) y el proyecto de estructuración de resultados de exámenes de radiología obstétrica, así como el contexto teórico de la ciencia de la información sobre vocabularios controlados. Una investigación de campo fue realizada para el levantamiento de los términos junto a un especialista y una investigación documental para el levantamiento estadístico de los términos en vocabularios controlados. Se ha constituido una jerarquía de los términos levantados y se ha verificado la cobertura de cada uno de los vocabularios controlados en relación a los términos. El SNOMED es el vocabulario controlado con mayor potencial deuso para la indexación de los resultados de exámenes en el dominio de la radiología obstétrica.

Estratégia para a recuperação de informação científica sobre as doenças tropicais negligenciadas: análise comparativa da Scopus, Pubmed e Web of Science / Estrategia para la recuperación de la información científica sobre enfermedades tropicales desatendidas: análisis comparativo de Scopus, PubMed y Web of Science / Strategy for information retrieval of scientific on neglected tropical diseases: comparative analysis of Scopus, PubMed and Web of Science

Objetiva desenvolver um percurso metodológico para recuperar informações científicas sobre as Doenças Tropicais Negligenciadas (DTN) em bases de dados internacionais (Scopus, Web of Science e PubMed). Os procedimentos metodológicos desta pesquisa foram: a) identificação das principais doenças tropicais segundo a Organização Mundial da Saúde; b) padronização dos nomes das doenças a partir dos Descritores em Ciências da Saúde da Biblioteca Virtual de Saúde (DeCS/BVS); c) construção de duas listas: uma com os termos controlados associados a operadores booleanos, e outra com os termos não controlados, também estruturada com operadores booleanos; d) busca de informações nas principais bases de dados anteriormente citadas de maneira controlada e não controlada; e) comparação dos resultados obtidos entre a busca controlada e não controlada; f) construção de fluxo metodológico para fins de replicação. Percebeu-se que o uso da busca controlada aumentou a revocação do processo de recuperação da informação, especificamente, a Base Scopus apresentou um aumento mais significativo na recuperação de resultados (11,28 %). A PubMed teve um incremento na revocação de 8,92 % e a Web of Science de 2,64 %. Ademais, propõe-se neste trabalho um fluxo para a recuperação da informação nas referidas bases, que sirva para os pesquisadores neste tema, pois entende-se que o alto grau de variabilidade das palavras e a dispersão na representação do tema nas bases constitui-se no importante impeditivo para a recuperação de informações(AU)

El objetivo de esta investigación fue desarrollar una metodología para recuperar informaciones científicas sobre las enfermedades tropicales desatendidas, en bases de datos internacionales (Scopus, Web of Science y PubMed). Los procedimientos metodológicos de esta investigación fueron: a) identificación de las principales enfermedades tropicales según la Organización Mundial de la Salud; b) estandarización de los nombres de las enfermedades a partir de los Descriptores en Ciencias de la Salud de la Biblioteca Virtual de Salud (DeCS/BVS); c) construcción de dos listas: una con los términos controlados asociados a operadores booleanos, y otra con los términos no controlados, también estructurada con operadores booleanos; d) búsqueda de informaciones en las principales bases de datos anteriormente citadas de manera controlada y no controlada; e) comparación de los resultados obtenidos entre la búsqueda controlada y no controlada; f) construcción de flujo metodológico para fines de replicación. Se percibió que el uso de la búsqueda controlada aumentó la revocación del proceso de recuperación de la información. Específicamente la Base Scopus presentó un aumento más significativo en los resultados (11,28 %). PubMed tuvo un incremento en la revocación del 8,92 % y la Web of Science del 2,64 %. Además, se propone en este trabajo un flujo para la recuperación de la información en las referidas bases, que sirva para los investigadores en este tema, pues se entiende que el alto grado de variabilidad de las palabras y la dispersión en la representación del tema en las bases se constituyen en importante impedimento para la recuperación de informaciones(AU)

It aims to develop a methodological pathway for the retrieval of scientific information on neglected tropical diseases in international databases (Scopus, Web of Science and PubMed). The methodological procedures performed in this work were: a) identification of the main tropical diseases according to the World Health Organization; b) conversion of the names of the diseases in standardized terms from the Descriptors in Health Sciences of the Virtual Health Library (DeCS), c) the construction of two lists: one with the standard terms associated with Boolean operators, and the other with the nonstandard terms; d) search for information in the main databases previously mentioned in a standardized and non-standardized way; e) comparison of the results obtained between standardized and non-standardized search; f) methodological flow construction for replication purposes. As a main result it was observed that the use of the standardized search increased the recall of the information retrieval process, and Scopus was the basis that presented a more significant increase in the retrieval of results (11.28 %). PubMed had an increase in recall of 8.92 % and Web of Science of 2.64 %. In addition, it is proposed in this work a flow for the retrieval of the information in the mentioned bases, that can be useful to all the researchers who wish to obtain scientific information on this subject, since it is understood that the high degree of variability of the words and the dispersion in the representation of the theme in the bases constitutes the important impediment for the information retrieval(AU)

Updated Editorial Guidance for Quality and Reliability of Research Output

Over the past few years, updated editorial policy statements of several associations have provided a platform for improving the quality of scientific research and publishing. The updates have particularly pointed to the need for following research reporting standards, authorship and contributorship regulations, implementing digital tools for the identification and crediting academic contributors, and moving towards optimal ethical open-access models. This article overviews some of the recent editorial policy statements of global editorial associations and reflects on the role of the regional counterparts in advancing scholarly publishing. One of the globally promoted documents is the Recommendations of the International Committee of Medical Journal Editors (ICMJE). Its latest versions contain statements on proper research reporting, reviewing, editing, and publishing. Points on ethical target journals and ‘predatory’ sources are also available. This year, in a move to update its editorial policy, the Committee on Publication Ethics (COPE) released the Core Practices, comprehensively reflecting on the major issues in publication ethics. Updated joint statements of medical writers associations are also available to implement transparent policy on contributorship in sponsor-supported research projects and related reports. Several suggestions are put forward to improve global editorial statements on online profiling, crediting, and referencing. It is also highlighted that knowledge and implementation of updated editorial guidance is essential for editors' good standing.

Data resource profile: the National Health Insurance Research Database (NHIRD) / 한국역학회지

Electronic health records (EHRs) can provide researchers with extraordinary opportunities for population-based research. The National Health Insurance system of Taiwan was established in 1995 and covers more than 99.6% of the Taiwanese population; this system's claims data are released as the National Health Insurance Research Database (NHIRD). All data from primary outpatient departments and inpatient hospital care settings after 2000 are included in this database. After a change and update in 2016, the NHIRD is maintained and regulated by the Data Science Centre of the Ministry of Health and Welfare of Taiwan. Datasets for approved research are released in three forms: sampling datasets comprising 2 million subjects, disease-specific databases, and full population datasets. These datasets are de-identified and contain basic demographic information, disease diagnoses, prescriptions, operations, and investigations. Data can be linked to government surveys or other research datasets. While only a small number of validation studies with small sample sizes have been undertaken, they have generally reported positive predictive values of over 70% for various diagnoses. Currently, patients cannot opt out of inclusion in the database, although this requirement is under review. In conclusion, the NHIRD is a large, powerful data source for biomedical research.

HEDEA: A Python Tool for Extracting and Analysing Semi-structured Information from Medical Records / 대한의료정보학회지

OBJECTIVES: One of the most important functions for a medical practitioner while treating a patient is to study the patient's complete medical history by going through all records, from test results to doctor's notes. With the increasing use of technology in medicine, these records are mostly digital, alleviating the problem of looking through a stack of papers, which are easily misplaced, but some of these are in an unstructured form. Large parts of clinical reports are in written text form and are tedious to use directly without appropriate pre-processing. In medical research, such health records may be a good, convenient source of medical data; however, lack of structure means that the data is unfit for statistical evaluation. In this paper, we introduce a system to extract, store, retrieve, and analyse information from health records, with a focus on the Indian healthcare scene. METHODS: A Python-based tool, Healthcare Data Extraction and Analysis (HEDEA), has been designed to extract structured information from various medical records using a regular expression-based approach. RESULTS: The HEDEA system is working, covering a large set of formats, to extract and analyse health information. CONCLUSIONS: This tool can be used to generate analysis report and charts using the central database. This information is only provided after prior approval has been received from the patient for medical research purposes.

Data resource profile: the National Health Insurance Research Database (NHIRD) / 한국역학회지

Electronic health records (EHRs) can provide researchers with extraordinary opportunities for population-based research. The National Health Insurance system of Taiwan was established in 1995 and covers more than 99.6% of the Taiwanese population; this system's claims data are released as the National Health Insurance Research Database (NHIRD). All data from primary outpatient departments and inpatient hospital care settings after 2000 are included in this database. After a change and update in 2016, the NHIRD is maintained and regulated by the Data Science Centre of the Ministry of Health and Welfare of Taiwan. Datasets for approved research are released in three forms: sampling datasets comprising 2 million subjects, disease-specific databases, and full population datasets. These datasets are de-identified and contain basic demographic information, disease diagnoses, prescriptions, operations, and investigations. Data can be linked to government surveys or other research datasets. While only a small number of validation studies with small sample sizes have been undertaken, they have generally reported positive predictive values of over 70% for various diagnoses. Currently, patients cannot opt out of inclusion in the database, although this requirement is under review. In conclusion, the NHIRD is a large, powerful data source for biomedical research.

Herramientas útiles y métodos de búsqueda bibliográfica en PubMed: guía paso a paso para médicos / Useful tools and methods for literature retrieval in pubmed: step-by-step guide for physicians

Developing skills to search the medical literature has potential benefits on patient care and allow physicians to better orient their efforts when answering daily clinical questions. The objective of this paper is to share useful tools for optimizing medical literature retrieval in MEDLINE using PubMed including MeSH terms, filters and connectors.

Educación continua: bases de datos biomédicas II: Medline/PubMed / Continuing education: biomedical databases II: Medline/PubMed

MEDLINE/PubMed es una de las bases de datos de bibliografía biomédica más grandes e importantes y el principal componente de PUbMed que cubre las áreas de medicina, enfermería, odontología, veterinaria, sistemas de salud y ciencias preclínicas. La interfaz de PubMed permite realizar búsquedas, no solamente en Medline, sino también en otras 35 bases de datos del NCBI (Centro Nacional para la Información Biotecnológica). Medline fue desarrollado por la Biblioteca Nacional de Medicina de los Estados Unidos (NLM), que forma parte del Instituto Nacional de Salud (NIH). En esta sexta entrega de educación continua se describen la estructura, el funcionamiento y las características de los principales componentes de Medline/PubMed que permitirán al usuario realizar una búsqueda bibliográfica más eficiente.

MEDLINE / PubMed is one of the largest and most important biomedical bibliographic databases and the main component of PUbMed that covers the areas of medicine, nursing, dentistry, veterinary, health systems and preclinical sciences. The PubMed interface allows searching not only of Medline, but also of another 35 NCBI (National Center for Biotechnology Information) databases. Medline was developed by the National Library of Medicine of the United States (NLM), which is part of the National Institute of Health (NIH). This sixth edition of continuing education describes the structure, operation and characteristics of the main components of Medline / PubMed that will allow the user to perform a more efficient bibliographic search.