Browsing by Author "Yamaguti, Verena Hokino"
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- Data quality in tuberculosis: the case study of two ambulatories in the state of São Paulo, BrazilPublication . Yamaguti, Verena Hokino; Vicentine, Fernanda Bergamini; Lima, Inacia Bezerra de; Zago, Laís; Rodrigues, Lídia Maria Lourençon; Alves, Domingos; Crepaldi, Nathalia Yukie; Rijo, Rui Pedro Charters Lopes; Ruffino-Netto, AntónioTuberculosis is the second leading responsible cause of death from infectious diseases. Tuberculosis effective control and related activities depends on the use of different systems that aim to assist and monitor patients through managing their health data, and facilitating the activities of several health professionals. However, we noticed disparities in the information provided by some systems, which can negatively impact planning and decision-making. The study is defined as a quantitative and descriptive study of patients’ data during the treatment of tuberculosis in two different ambulatories. The data was collected from four different sources, including three information systems and the local patient archive in the ambulatories. Collected data was cleansed and standardized for semantic and structure, which allowed data comparison and analysis for its reliability and completeness. Low reliability scores are due to the absence of a semantic standard and the careless validation on recording of data by the professionals. Therefore, this study was able to effectively detect inconsistencies between the different data sources, stressing the need of health standards for data consistency, interoperability, and promoting data quality.
- Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: A case–control studyPublication . Yamaguti, Verena Hokino; Alves, Domingos; Rijo, Rui, Rui Pedro Charters Lopes; Miyoshi, Newton Shydeo Brandão; Ruffino-Netto, AntônioBackground: Tuberculosis is the leading cause of infectious disease-related death, surpassing even the immunodeficiency virus. Treatment loss to follow up and irregular medication use contribute to persistent morbidity and mortality. This increases bacillus drug resistance and has a negative impact on disease control. Objective: This study aims to develop a computational model that predicts the loss to follow up treatment in tuberculosis patients, thereby increasing treatment adherence and cure, reducing efforts regarding treatment relapses and decreasing disease spread. Methods: This is a case-controlled study. Included in the data set were 103,846 tuberculosis cases from the state of São Paulo. They were collected using the TBWEB, an information system used as a tuberculosis treatment monitor, containing samples from 2006 to 2016. This set was later resampled into 6 segments with a 1-1 ratio. This ratio was used to avoid any bias during the model construction. Results: The Classification and Regression Trees were used as the prediction model. Training and test sets accounted for 70% in the former and 30% in the latter of the tuberculosis cases. The model displayed an accuracy of 0.76, F-measure of 0.77, sensitivity of 0.80 and specificity of 0.71. The model emphasizes the relationship between several variables that had been identified in previous studies as related to patient cure or loss to follow up treatment in tuberculosis patients. Conclusion: It was possible to construct a predictive model for loss to follow up treatment in tuberculosis patients using Classification and Regression Trees. Although the fact that the ideal predictive ability was not achieved, it seems reasonable to propose the use of Classification and Regression Trees models to predict likelihood of treatment follow up to support healthcare professionals in minimising the loss to follow up.
- Satisfaction evaluation of health professionals in the usability of software for monitoring the tuberculosis treatmentPublication . Crepaldi, Nathalia Yukie; Lima, Inácia Bezerra de; Vicentine, Fernanda Bergamini; Rodrigues, Lídia Maria Lourençon; Yamaguti, Verena Hokino; Sanches, Tiago Lara Michelin; Ruffino-Netto, Antonio; Alves, Domingos; Rijo, Rui Pedro Charters LopesThe evaluation of health software from the point of view of the health professionals is critical for its success. The work aims to present one of the steps, in this case the usability evaluation, of a more comprehensive protocol of how health software can be evaluated. A software for monitoring tuberculosis treatment (SISTB) was used to test the proposed protocol. The Computer System Usability Questionnaire was the instrument chosen to evaluate software usability. Its adaptation to Portuguese (from Brazil) was performed through three pretests, which obtained high internal consistency, using the Cronbach alpha reliability analysis. SISTB was deployed in three of four referral outpatient clinics for tuberculosis, in the city of Ribeirão Preto, state of São Paulo, Brazil. After three months, health professionals answered the questionnaire. All outpatients presented satisfactory results for usability, showing that the satisfaction degree with software is good and that three months are sufficient for adaptation in relation to the SISTB use. Despite the good acceptance, some suggestions have been proposed, showing that software should be in constant development to facilitate the service of those who use it.