Percorrer por autor "Yamada, Diego Bettiol"
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- Mental health indicators in the hospitalization process in a Brazilian psychosocial care networkPublication . Lima, Inacia Bezerra de; Alves, Domingos; Vinci, Andre Luiz Teixeira; Rijo, Rui Pedro Charters Lopes; Martinho, Ricardo; Yamada, Diego Bettiol; Bernardi, Filipe Andrade; Furegato, Antonia Regina FerreiraWe aim to present the use and viability of mental health indicators at a Brazilian reference psychiatric hospital. We elaborated a Business Process Model and Notation based model of the patients' hospitalization process based on semi-structured interviews with managers and professionals of the hospital. We analyzed the model and selected a set of 6 mental health indicators, based on evidence-based practice from other countries, using information from several Health Information Systems regarding hospitalizations from 2013 to 2017. In Brazil, there is a lack of methods for the manager to measure the actions carried out in mental health. Thus, the method proposed in this article can be used as metrics to assess the impact of public policy implementation and to assist planning and decision-making based on evidence in mental health.
- Proposal for selection of mental health indicators in the management of health networks: from heuristic to process modelingPublication . Lima, Inacia Bezerra de; Yamada, Diego Bettiol; Yoshiura, Vinicius Tohoru; Lance, Rogério Cortecioni; Rodrigues, Lidia Maria Lourençön; Vinci, Andre Luiz Teixeira; Martinho, Ricardo; Pádua, Silvia Dallavalle de; Rijo, Rui Pedro Charters Lopes; Rijo, Rui Pedro Charters Lopes; Furegato, Antonia Regina Ferreira; Alves, DomingosIn 2011, Brazil instituted the Psychosocial Care Network (RAPS) for people suffering from mental disorders and needs arising from the use of alcohol and other drugs within the Unified Health System an electronic information system that supports the planning, regulation, control and evaluation of mental health actions. Several studies have been done to select a complete set of indicators for mental health in Brazil; however, these studies do not describe how these principles are transposed into indicators. In this work we will use Business Process Management Notation (BPMN) to analyze the process of patient care in a mental health unit and to search through this analysis to select and map those that apply to the specific RAPS institutions. We propose a method, using process modeling along the Thornicroft and Tansella matrix, to select the relevant indicators and their mapping along the network. The method was effective allowing the application of indicators to the concrete reality of a psychiatric hospital in Brazil.
- Proposal of an ontology for Mental Health Management in BrazilPublication . Yamada, Diego Bettiol; Yoshiura, Vinicius Tohoru; Miyoshi, Newton Shydeo Brandão; Lima, Inácia Bezerra de; Shinoda, Gustavo Yukiu Usumoto; Rijo, Rui Pedro Charters Lopes; Marques, João Mazzoncini de Azevedo; Cruz-Cunha, Maria Manuela; Alves, DomingosMental illness represent a large part of public health problems worldwide. Additionally, mental health managers need to make decisions based on complex data from dispersed sources with low levels of standardization and integration. This generally hinders knowledge extraction and its use as a reference to provide useful indicators and reports for efficient decision making. In this context, the interoperability between Information Systems is an essential characteristic to establish the capacity of communication, exchange and reuse of information for the generation of knowledge. In order to reduce the data complexity and to assist in the data interpretation, Semantic Web technology can be used. It classifies the stored information with metadata and give them meaning and thematic through the use of ontologies. Therefore, given the importance of mental health and the need for quality data, this article aims to specify and develop an ontology capable of consuming, integrating, analyzing and making available data of a regional mental healthcare network.
- Towards a health observatory conceptual model based on the semantic webPublication . Yoshiura, Vinicius Tohoru; Yamada, Diego Bettiol; Pellison, Felipe Carvalho; Lima, Inácia Bezerra de; Damian, Ieda Pelogia Martins; Rijo, Rui Pedro Charters Lopes; Marques, João Mazzoncini de Azevedo; Alves, DomingosIntroduction. Health Observatories have gained global popularity and have been established worldwide since the 1970s. With the advent of the Semantic Web, machines can process, reuse, integrate and understand the meaning (semantics) of the information and knowledge on the World Wide Web to perform complex tasks. Objective. To propose a health observatory conceptual model based on Semantic Web in order to assist in the design, development and implementation processes of a Health Observatory. Methods. The proposed model was based on a conceptual analysis that include Semantic Web technologies narrative review, multi-layer software architecture and an integrative review of Health Observatories. Results. The proposed Health Observatory conceptual model consists of a chain of several related components based on information technology multi-layer architecture, Semantic Web technologies, Health Observatories stakeholders and key concepts. Conclusion. The proposed model can provide opportunities for the development and implementation of new observatories or for the adequacy of existing Health Observatories.
- The use of indicators for the management of Mental Health ServicesPublication . Lima, Inacia Bezerra de; Bernadi, Filipe Andrade; Yamada, Diego Bettiol; Vinci, Andre Luiz Teixeira; Rijo, Rui Pedro Charters Lopes; Alves, Domingos; Furegato, Antonia Regina FerreiraObjective: 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.