A web-based information system for a regional public mental healthcare service network in Brazil

Acknowledgements We would like to thank all the participating representatives of public mental health services for their invaluable contribution to this system development and implementation and the XIII Regional Health Department of Sao Paulo state for their support. Funding: This study was funded by the ‘Conselho Nacional de Desenvolvimento Científico e Tecnológico’ (CNPq) and ‘Coordenação de Aperfeiçoamento de Pessoal de Nível Superior’ (CAPES)—Science Without Borders Programme.Peer reviewedPublisher PD

O uso de indicadores para a gestão dos Serviços de Saúde Mental

Objetivo: identificar indicadores que possam ser utilizados na gestão dos Serviços de Saúde Mental. Método: revisão integrativa em que adotou-se a estratégia População, Conceito e Contexto para formular a seguinte questão norteadora: “Quais indicadores podem ser usados para a gestão dos serviços de saúde mental?”. Resultados: um total de 22 artigos foram incluídos e divididos em dois grupos principais: países com renda inicial alta (54%), bem como países de baixa e média renda (46%). Identificamos 5 estudos que experimentaram o uso de indicadores, 5 estudos que relataram implementação parcial, 9 estudos que não relataram uso ou implementação, 1 estudo sobre o processo de seleção de indicadores, 1 como piloto de implementação e um estudo final com uma discussão para implementação. Os países de alta renda também têm dificuldade para implementar indicadores de saúde mental. As principais dificuldades na adoção do uso de indicadores são a falta de serviços básicos de saúde mental, recursos financeiros, legislação, interesse político e diretrizes para sua gestão. Conclusão: é incomum encontrar uma comparação descritiva de programas de monitoramento de qualidade no nível de sistema na literatura técnico-científica relacionada a indicadores de saúde mental.Objetivo: identificar indicadores que se puedan utilizar en la gestión de Servicios de Salud Mental. Método: revisión integradora en la que adoptamos la estrategia Población, Concepto y Contexto para formular la siguiente Pregunta Orientadora: “¿Qué indicadores se pueden utilizar para la gestión de servicios de salud mental?”. Resultados: se incluyó un total de 22 artículos y se los dividió en dos grupos principales: países con ingresos altos iniciales (54%) y países con ingresos bajos y medios (46%). Identificamos 5 estudios que habían experimentado el uso de indicadores, 5 estudios que habían reportado implementación parcial, 9 estudios que no reportaron uso o implementación, 1 estudio sobre el proceso de selección de indicadores, 1 como piloto de implementación y un estudio final con una discusión para la implementación. Los países de ingresos altos también tienen dificultades para implementar indicadores de salud mental. Las principales dificultades para adoptar el uso de indicadores son la falta de servicios básicos de salud mental, recursos económicos, legislación, interés político y directrices para su gestión. Conclusión: es inusual encontrar una comparación descriptiva de los programas de monitoreo de la calidad a nivel de sistema en la literatura técnico-científica relacionada con indicadores de salud mental.Objective: to identify indicators that can be used in the management of Mental Health Services. Method: an integrative review in which we adopted the Population, Concept, and Context strategy to formulate the following Guiding Question: “Which indicators can be used for the management of mental health services?”. Results: a total of 22 articles were included and divided into two main groups: countries with initial high income (54%) as well as low- and middle-income countries (46%). We identified 5 studies that had experienced the use of indicators, 5 studies that had reported partial implementation, 9 studies that did not report use or implementation, 1 study on the indicator selection process, 1 as an implementation pilot, and a final study with a discussion for implementation. High-income countries also find it difficult to implement mental health indicators. The main difficulties in adopting the use of indicators are lack of basic mental health services, financial resources, legislation, political interest, and guidelines for its management. Conclusion: it is unusual to find a descriptive comparison of quality monitoring programs at the system level in the technical-scientific literature related to mental health indicators

REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research

Abstract Clinical research outcomes depend on the correct definition of the research protocol, the data collection strategy, and the data management plan. Furthermore, researchers often need to work within challenging contexts, as is the case in tuberculosis services, where human and technological resources for research may be scarce. Electronic Data Capture Systems mitigate such risks and enable a reliable environment to conduct health research and promote result dissemination and data reusability. The proposed solution is based on needs pinpointed by researchers, considering the need for an accommodating solution to conduct research in low-resource environments. The REDbox framework was developed to facilitate data collection, management, sharing, and availability in tuberculosis research and improve the user experience through user-friendly, web-based tools. REDbox combines elements of the REDCap and KoBoToolbox electronic data capture systems and semantics to deliver new valuable tools that meet the needs of tuberculosis researchers in Brazil. The framework was implemented in five cross-institutional, nationwide projects to evaluate the users' perceptions of the system's usefulness and the information and user experience. Seventeen responses (representing 40% of active users) to an anonymous survey distributed to active users indicated that REDbox was perceived to be helpful for the particular audience of researchers and health professionals. The relevance of this article lies in the innovative approach to supporting tuberculosis research by combining existing technologies and tailoring supporting features