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BACKGROUND: Decision-making and strategies to improve service delivery must be supported by reliable health data to generate consistent evidence on health status. The data quality management process must ensure the reliability of collected data. Consequently, various methodologies to improve the quality of services are applied in the health field. At the same time, scientific research is constantly evolving to improve data quality through better reproducibility and empowerment of researchers and offers patient groups tools for secured data sharing and privacy compliance. OBJECTIVE: Through an integrative literature review, the aim of this work was to identify and evaluate digital health technology interventions designed to support the conducting of health research based on data quality. METHODS: A search was conducted in 6 electronic scientific databases in January 2022: PubMed, SCOPUS, Web of Science, Institute of Electrical and Electronics Engineers Digital Library, Cumulative Index of Nursing and Allied Health Literature, and Latin American and Caribbean Health Sciences Literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist and flowchart were used to visualize the search strategy results in the databases. RESULTS: After analyzing and extracting the outcomes of interest, 33 papers were included in the review. The studies covered the period of 2017-2021 and were conducted in 22 countries. Key findings revealed variability and a lack of consensus in assessing data quality domains and metrics. Data quality factors included the research environment, application time, and development steps. Strategies for improving data quality involved using business intelligence models, statistical analyses, data mining techniques, and qualitative approaches. CONCLUSIONS: The main barriers to health data quality are technical, motivational, economical, political, legal, ethical, organizational, human resources, and methodological. The data quality process and techniques, from precollection to gathering, postcollection, and analysis, are critical for the final result of a study or the quality of processes and decision-making in a health care organization. The findings highlight the need for standardized practices and collaborative efforts to enhance data quality in health research. Finally, context guides decisions regarding data quality strategies and techniques. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1101/2022.05.31.22275804.
Subject(s)
Benchmarking , Data Accuracy , Humans , Reproducibility of Results , Biomedical Technology , ChecklistABSTRACT
Brazil is a large developing country that requires attention to regionalized behaviors regarding the dissemination of COVID-19. To deal with this complexity, the COVID-19 Brazil observatory was developed. The Portal aims to monitor and analyze data from different sources. Therefore, with a detailed audit, we centralized this information on the evolution of the disease, allowing for territorial and temporal monitoring. The daily publication of numbers about COVID-19 allowed anyone to follow the current scenario in several Brazilian cities. With about 1,7 million accesses, the Portal offers clarity and an easy understanding of the pandemic data in the country.
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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.
Subject(s)
Mental Health Services , Humans , IncomeABSTRACT
BACKGROUND: A rare disease is a medical condition with low prevalence in the general population, but these can collectively affect up to 10% of the population. Thus, rare diseases have a significant impact on the health care system, and health professionals must be familiar with their diagnosis, management, and treatment. OBJECTIVE: This paper aims to provide health indicators regarding the rare diseases in Brazil and to create a network of reference centers with health professionals from different regions of the country. RARASnet proposes to map, analyze, and communicate all the data regarding the infrastructure of the centers and the patients' progress or needs. The focus of the proposed study is to provide all the technical infrastructure and analysis, following the World Health Organization and the Brazilian Ministry of Health guidelines. METHODS: To build this digitized system, we will provide a security framework to assure the privacy and protection of each patient when collecting data. Systems development life cycle methodologies will also be applied to align software development, infrastructure operation, and quality assurance. After data collection of all information designed by the specialists, the computational analysis, modeling, and results will be communicated in scientific research papers and a digital health observatory. RESULTS: The project has several activities, and it is in an initial stage. Initially, a survey was given to all health care centers to understand the technical aspects of each network member, such as the existence of computers, technical support staff, and digitized systems. In this survey, we detected that 59% (23/39) of participating health units have electronic medical records, while 41% (16/39) have paper records. Therefore, we will have different strategies to access the data from each center in the data collection phase. Later, we will standardize and analyze the clinical and epidemiological data and use these data to develop a national network for monitoring rare diseases and a digital health observatory to make the information available. The project had its financing approved in December 2019. Retrospective data collection started in October 2020, and we expect to finish in January 2021. During the third quarter of 2020, we enrolled 40 health institutions from all regions of Brazil. CONCLUSIONS: The nature of rare disease diagnosis is complex and diverse, and many problems will be faced in the evolution of the project. However, decisions based on data analysis are the best option for the improvement of the rare disease network in Brazil. The creation of RARASnet, along with all the digitized infrastructure, can improve the accessibility of information and standardization of rare diseases in the country. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24826.
ABSTRACT
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.
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.