Avaliação do sistema de vigilância em saúde do trabalhador relacionada aos acidentes de trabalho, antes e após a implantação do software de linkage Sentinela, em Porto Alegre, 2018-2021 / Evaluation of the occupational health surveillance system before and after the implementation of the Sentinela linkage software, in Porto Alegre, 2018-2021 / Evaluación del sistema de vigilancia de la salud del trabajador relacionada con los accidentes de trabajo, antes y después de la implementación del software de enlace Sentinela, en Porto Alegre, 2018-2021

O objetivo deste artigo é avaliar, segundo alguns atributos, o sistema de vigilância dos acidentes de trabalho antes e após a implantação do software Sentinela (2018-2021), com base em uma pesquisa descritiva de dados secundários, e efetuar recomendações. Foram analisadas variáveis da ficha de investigação, de acordo com os atributos qualidade dos dados (completitude e consistência), oportunidade e representatividade. Os resultados mostraram que, após o Sentinela, houve aumento da notificação de acidentes (66,16%), maior completitude das variáveis, com importante alteração na 'atividade econômica' (98,9%) e 'evolução' (96,3%), diminuição dos campos ignorados/em branco, com destaque para o campo 'evolução' (3,7%), e melhora na oportunidade de controle dos acidentes fatais (79 dias). Concluímos que a vigilância dos acidentes de trabalho tem excelente qualidade dos dados, é representativa, mas inoportuna. O Sentinela melhorou o sistema, tornando-o mais sensível na captação dos acidentes e permitindo-lhe ter informações de melhor qualidade. É necessária a avaliação rotineira dos atributos, para aprimoramento constante do sistema, assim como rever as rotinas das equipes de saúde, melhorando a oportunidade de controle por meio de suas ações

This article aims to evaluate the occupational health surveillance system before and after the implementa-tion of the Sentinela software (2018-2021), according to some attributes and based on descriptive research using secondary data, and to make recommendations. Variables of the accident investigation report were analysed, according to the attributes of data quality (completeness and consistency), opportunity and rep-resentativeness. The results have revealed that after Sentinela, there was an increase in the notification of accidents (66.16%), greater completeness of the variables, with an important change in 'economic activity' (98.9%) and 'evolution' (96.3%), a decreased in blank fields/information missing, with emphasis on the 'evolution' field (3.7%), and an improvement in the opportunity to control fatal accidents (79 days). We have concluded that the surveillance of the occupational accidents has excellent data quality, is representative, but inopportune. The Sentinela has improved the system, making it more sensitive in capturing accidents, allowing it to provide better quality of information. An evaluation of the attributes is routinely necessary to constantly improve the system, as well as reviewing the routines of health professionals, improving the opportunity to control by their actions

El objetivo de este artículo es evaluar, según algunos atributos, el sistema de vigilancia de los accidentes de trabajo antes y después de la implementación del software Sentinela (2018-2021), por medio de una investigación descriptiva de datos secundarios, y hacer recomendaciones. Fueron analizadas variables de la ficha de investigación de accidentes, de acuerdo con los atributos de calidad de los datos (completitud y consistencia), oportunidad y representatividad. Los resultados demostraron que, después del Sentinela, ha habido un aumento de la notificación de accidentes (66,16 %), una mayor completitud de las variables, con un cambio importante en 'actividad económica' (98,9 %) y 'evolución' (96,3 %), una disminución de campos ignorados/en blanco, con énfasis en el campo 'evolución' (3,7%), y mejora en la probabilidad de control de los accidentes mortales (79 días). Concluimos que la vigilancia de los accidentes de trabajo tiene excelente calidad de datos, es representativa, pero inoportuna. El Sentinela ha mejorado el sistema, haciéndolo más sensible en la captación de los accidentes y permitiéndole tener informaciones de mejor calidad. La evaluación de los atributos con regularidad es necesaria para el perfeccionamiento constante del sistema, así como la revisión de las rutinas de los equipos de salud, mejorando la oportunidad de control a través de sus acciones

Solução computacional de apoio à vigilância epidemiológica no enfrentamento à pandemia / Computational solution to support epidemiological surveillance in tackling the pandemic / Solución computacional para apoyar la vigilancia epidemiológica en la lucha contra la pandemia

Na pandemia da Covid-19, a transparência dos dados e das informações em saúde são fundamentais para subsidiar o processo decisório na adoção de medidas de prevenção e controle, bem como estabelecer mecanismos de comunicação mais efetivos com a imprensa, organismos de controle e sociedade. Contudo, os registros dos casos de Covid-19 são derivados de três sistemas de informação do Ministério da Saúde (e-SUS Notifica, GAL e Sivep-Gripe), sem que haja interoperabilidade entre eles, o que favorece a duplicidade de dados e a inconsistência das informações. Diante desse problema, a Secretaria da Saúde do Estado da Bahia, por meio da Diretoria de Vigilância Epidemiológica, desenvolveu uma solução computacional própria. Nesse sentido, este trabalho objetiva descrever o processo de criação da metodologia aplicada para a geração de uma base única de dados voltada à emissão de informações mais qualificadas para subsidiar o processo decisório e a elaboração do Boletim Epidemiológico do estado da Bahia sobre a Covid-19. Trata-se de uma pesquisa processual, cujas soluções tecnológicas foram se desenvolvendo no decorrer das atividades, num movimento dinâmico e contínuo, na tentativa de resolver a falta de interoperabilidade entre os sistemas de informação envolvidos. A interconexão das bases de saúde propiciou a criação de soluções para operacionalização integrada, incluindo provas de conceito realizadas por meio de diferentes chaves de ligação, o que possibilitou mudanças incrementais nos processos de trabalho da vigilância epidemiológica. Conclui-se que a interconexão de dados possibilitou um processo mais ágil e eficiente para a análise dos dados e tomada de decisão por parte da gestão.

In the Covid-19 pandemic, transparency of health data and information is fundamental to support the decision-making process in the adoption of prevention and control measures and in the establishment of more effective communication mechanisms with the press, control bodies and society. However, Covid-19 case records are derived from three Ministry of Health information systems (e-SUS Notifica, GAL and SIVEP-Gripe), without interoperability, which favors data duplicity and information inconsistency. To face this problem, the Health Department of the State of Bahia, by the Epidemiological Surveillance Directorate, developed its own computational solution. In this sense, this study aims at describing the process of creating the methodology applied to generate a single database for issuing more qualified information to support the decision-making process and preparation of the State of Bahia Epidemiological Bulletin on Covid-19. It is a procedural research, whose technological solutions were developed during the activities, in a dynamic and continuous movement, in an attempt to resolve the lack of interoperability among the information systems involved. The interconnection of the health bases led to the creation of solutions for integrated operation, including proofs of concept performed using different connection keys, which enabled incremental changes in the epidemiological surveillance work processes. It is concluded that, the data interconnection enabled a more agile and efficient process for the analysis of the data and decision making by the management.

En la pandemia del covid-19, la transparencia de los datos e información de salud es fundamental para apoyar el proceso de toma de decisiones en la adopción de medidas de prevención y control, así como establecer mecanismos de comunicación más efectivos con la prensa, los órganos de control y la sociedad. Sin embargo, los registros de casos del covid-19 se derivan de tres sistemas de información del Ministerio de Salud (e-SUS Notifica, GAL y Sivep-Gripe), sin interoperabilidad entre ellos, lo que favorece la duplicidad e inconsistencia de datos. Ante este problema, la Secretaría de Salud del Estado de Bahía, por medio de la Dirección de Vigilancia Epidemiológica, desarrolló su propia solución computacional. Este trabajo tiene como objetivo describir el proceso de creación de la metodología aplicada para generar una base de datos única para emitir información más calificada para sustentar el proceso de toma de decisiones y elaboración del Boletín Epidemiológico del Estado de Bahía sobre Covid-19. Esta es una investigación procedimental, cuyas soluciones tecnológicas se desarrollaron durante las actividades, en un movimiento dinámico y continuo, en un intento por resolver la falta de interoperabilidad entre los sistemas de información involucrados. La interconexión de las bases de salud condujo a la creación de soluciones para la operación integrada, incluidas pruebas de concepto realizadas mediante diferentes claves de conexión, que permitieron cambios incrementales en los procesos de trabajo de vigilancia epidemiológica. Se concluye que la interconexión de datos permitió un proceso más ágil y eficiente para el análisis de los datos y la toma de decisiones por parte de la gerencia.

Population data science: advancing the safe use of population data for public benefit / 한국역학회지

The value of using population data to answer important questions for individual and societal benefit has never been greater. Governments and research funders world-wide are recognizing this potential and making major investments in data-intensive initiatives. However, there are challenges to overcome so that safe, socially-acceptable data sharing can be achieved. This paper outlines the field of population data science, the International Population Data Linkage Network (IPDLN), and their roles in advancing data-intensive research. We provide an overview of core concepts and major challenges for data-intensive research, with a particular focus on ethical, legal, and societal implications (ELSI). Using international case studies, we show how challenges can be addressed and lessons learned in advancing the safe, socially-acceptable use of population data for public benefit. Based on the case studies, we discuss the common ELSI principles in operation, we illustrate examples of a data scrutiny panel and a consumer panel, and we propose a set of ELSI-based recommendations to inform new and developing data-intensive initiatives.We conclude that although there are many ELSI issues to be overcome, there has never been a better time or more potential to leverage the benefits of population data for public benefit. A variety of initiatives, with different operating models, have pioneered the way in addressing many challenges. However, the work is not static, as the ELSI environment is constantly evolving, thus requiring continual mutual learning and improvement via the IPDLN and beyond.

Building Linked Big Data for Stroke in Korea: Linkage of Stroke Registry and National Health Insurance Claims Data

BACKGROUND: Linkage of public healthcare data is useful in stroke research because patients may visit different sectors of the health system before, during, and after stroke. Therefore, we aimed to establish high-quality big data on stroke in Korea by linking acute stroke registry and national health claim databases. METHODS: Acute stroke patients (n = 65,311) with claim data suitable for linkage were included in the Clinical Research Center for Stroke (CRCS) registry during 2006–2014. We linked the CRCS registry with national health claim databases in the Health Insurance Review and Assessment Service (HIRA). Linkage was performed using 6 common variables: birth date, gender, provider identification, receiving year and number, and statement serial number in the benefit claim statement. For matched records, linkage accuracy was evaluated using differences between hospital visiting date in the CRCS registry and the commencement date for health insurance care in HIRA. RESULTS: Of 65,311 CRCS cases, 64,634 were matched to HIRA cases (match rate, 99.0%). The proportion of true matches was 94.4% (n = 61,017) in the matched data. Among true matches (mean age 66.4 years; men 58.4%), the median National Institutes of Health Stroke Scale score was 3 (interquartile range 1–7). When comparing baseline characteristics between true matches and false matches, no substantial difference was observed for any variable. CONCLUSION: We could establish big data on stroke by linking CRCS registry and HIRA records, using claims data without personal identifiers. We plan to conduct national stroke research and improve stroke care using the linked big database.

Population data science: advancing the safe use of population data for public benefit / 한국역학회지

The value of using population data to answer important questions for individual and societal benefit has never been greater. Governments and research funders world-wide are recognizing this potential and making major investments in data-intensive initiatives. However, there are challenges to overcome so that safe, socially-acceptable data sharing can be achieved. This paper outlines the field of population data science, the International Population Data Linkage Network (IPDLN), and their roles in advancing data-intensive research. We provide an overview of core concepts and major challenges for data-intensive research, with a particular focus on ethical, legal, and societal implications (ELSI). Using international case studies, we show how challenges can be addressed and lessons learned in advancing the safe, socially-acceptable use of population data for public benefit. Based on the case studies, we discuss the common ELSI principles in operation, we illustrate examples of a data scrutiny panel and a consumer panel, and we propose a set of ELSI-based recommendations to inform new and developing data-intensive initiatives.We conclude that although there are many ELSI issues to be overcome, there has never been a better time or more potential to leverage the benefits of population data for public benefit. A variety of initiatives, with different operating models, have pioneered the way in addressing many challenges. However, the work is not static, as the ELSI environment is constantly evolving, thus requiring continual mutual learning and improvement via the IPDLN and beyond.

Fifteen Years After the Gozan-Dong Glass Fiber Outbreak, Incheon in 1995 / 예방의학회지

OBJECTIVES: In 1995, an outbreak survey in Gozan-dong concluded that an association between fiberglass exposure in drinking water and cancer outbreak cannot be established. This study follows the subjects from a study in 1995 using a data linkage method to examine whether an association existed. The authors will address the potential benefits and methodological issues following outbreak surveys using data linkage, particularly when informed consent is absent. METHODS: This is a follow-up study of 697 (30 exposed) individuals out of the original 888 (31 exposed) participants (78.5%) from 1995 to 2007 assessing the cancer outcomes and deaths of these individuals. The National Cancer Registry (KNCR) and death certificate data were linked using the ID numbers of the participants. The standardized incidence ratio (SIR) and standardized mortality ratio (SMR) from cancers were calculated by the KNCR. RESULTS: The SIR values for all cancer or gastrointestinal cancer (GI) occurrences were the lowest in the exposed group (SIR, 0.73; 95% CI, 0.10 to 5.21; 0.00 for GI), while the two control groups (control 1: external, control 2: internal) showed slight increases in their SIR values (SIR, 1.18 and 1.27 for all cancers; 1.62 and 1.46 for GI). All lacked statistical significance. All-cause mortality levels for the three groups showed the same pattern (SMR 0.37, 1.29, and 1.11). CONCLUSIONS: This study did not refute a finding of non-association with a 13-year follow-up. Considering that many outbreak surveys are associated with a small sample size and a cross-sectional design, follow-up studies that utilize data linkage should become standard procedure.

The transition from sample to population epidemiology

This review is based on analysis of original research reports in one 2006 volume from each of three major epidemiology journals: The American Journal of Epidemiology, The International Journal of Epidemiology, and the European Journal of Epidemiology. A total of 149 research reports were included in the review. The pattern that emerged from the analysis was the tendency towards large epidemiological studies that utilise all available population-based data without resort to sampling. The tendency was to use data in existing data bases instead of field data collection. Developments in information technology enabled linkage between various data bases to extend the range of hypotheses that could be tested. The transition from sample epidemiology to population epidemiology had advantages and disadvantages. The main advantage was external validity (results of the study were applicable to the population). The main disadvantage was loss of internal validity that could be achieved in small studies with higher data quality and personal familiarity of the epidemiologist with the data. It is envisioned that in the future web-based data collection will be feasible. It will also be possible to use a wider range of data routinely collected online on citizens including credit card, shopping, and other financial transactions

Proposta de integraçäo de Dados do sistema de informaçoës hospitalares do sistema único de saúde (SIH-SUS) para pesquisa / A proposal to integrate data from the hospitais information system of the unfied health system (SIH-SUS) for research use

Nesta nota técnica apresenta-se um método para a criação de banco de dados gerado dos arquivos do Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH-SUS), colocados à disposição em CD-ROM pelo Ministério da Saúde. O banco de dados resultante deste processo contém dados que estão dispersos em vários arquivos com estrutura e objetivos diversos. Neste exemplo específico utilizaram-se os seguintes arquivos mensais: Movimento de AIH (MA); Movimento de Prestadores (MT) e Procedimentos Autorizados (PA)

Presented in this technical report is a method to develop a database originating from files of the Ministry of Health Hospital Admission Information System (SIH-SUS - Sistema de Informações Hospitalares do Sistema Único de Saúde), which are available to the public on CD-ROM. This database contains data from different files, each with a different structure and objective. In this example, three files were utilized on a monthly basis: Hospital Admission Authorizations( AIH -MA); information of health services covenant to SUS (MT) and Authorized Proceedures (PA)