Recommender systems have been applied in several areas, including e-Health systems, which refers to information and health services enhanced through technology. However, most studies aim at imposing rules to improve lifestyle, rather than recommending nutrition and physical activities. In this context, this study aims to develop a system for recommending physical activities for hypertensive patients to create opportunities for the patients so they can search for and create a healthy lifestyle. To achieve this goal, we elaborated on a hypertensive user profile model, called HyperModel2PAR, and a physical activity recommender system for hypertensive patients, called HyperRecSysPA. The model resulting from this study is composed of 32 elements divided into three groups, which were used in the modeling of user profiles within the system for generating HyperRecSysPA recommendations. The developed system was validated by physicians who answered a specific questionnaire. As a result, ∼ 75% of the recommendations generated were approved. Therefore, this study has prospective contributions to the literature, since both models obtained conclusive results in the assessments performed.
Background Chronic noncommunicable diseases such as arterial hypertension have a high impact in the context of public health. Previous studies have shown improvements in blood pressure due to simple lifestyle changes, which were supported by electronic health (eHealth) solutions. Objective The aim of this study is to develop an eHealth platform and assess the effects of its use on the health conditions of patients with hypertension, with assistance from health professionals in the public health system of a Brazilian city. Methods The platform will include a server that centralizes all the data and business rules, a website dashboard for health professionals, and a mobile app for patients. We will analyze the effects of its use through a controlled, nonrandomized, nonblind, prospective, monocentric clinical trial. We will enroll 68 participants diagnosed with arterial hypertension and under medical follow-up and categorize them into two groups. The participants of the intervention group will use the platform as a monitoring method, whereas the participants of the control group will use conventional methods. In both groups, we will assess and compare the evolution of blood pressure and treatment adherence before, during, and after the intervention. Results The project was funded at the end of 2018. We have been developing the software since 2019 with plans to complete it in 2020, and we will enroll patients between 2020 and 2021. We expect to submit the first results for publication in 2020. Conclusions For the primary outcome, we expect a reduction and stabilization of blood pressure. For the secondary outcomes, we hope to see improvements in treatment adherence, physical activities and dietary practices, and acceptance of the eHealth platform. In public health, the technology that favors disease control also helps reduce complications and, consequently, treatment costs. The platform might encourage the adaptation of medical assistance to incorporate this technology into patient monitoring. International Registered Report Identifier (IRRID) PRR1-10.2196/15299
RESUMOObjetivo: Discutir os significados da vivência de episódios maníacos para pacientes com transtorno bipolar (TAB). Métodos: Trata-se de uma pesquisa qualitativa, feita por meio de entrevistas semidirigidas em profundidade, em uma amostra fechada pelo critério de saturação com oito pacientes com TAB em remissão. A técnica de tratamento de dados foi feita por meio da análise de conteúdo das entrevistas transcritas na íntegra e categorização. Os resultados foram submetidos à validação externa, no Laboratório de Pesquisa Clínico-Qualitativa do Departamento de Psicologia Médica e Psiquiatria da Unicamp, composto por 37 pesquisadores do método, entre eles mestrandos, doutorandos, pós-doutorados e pesquisadores seniores. Resultados: Foram identificadas três categorias -Ambivalência e vergonha: pensar ou não pensar sobre os episódios maníacos; Organizando sentimentos pessoais: a remissão como um momento de autoconsciência; Episódios maníacos estruturando relações interpessoais versus projeções da angústia. Conclusão: Os achados da presente pesquisa contribuem para a maior compreensão dos quadros maníacos no TAB, que podem auxiliar nas reflexões acerca da relação profissional-paciente, para elaborar estratégias para aderência e para as medidas terapêuticas e preventivas da recorrência dos episódios. Podem auxiliar a equipe de saúde envolvida no acompanhamento desses casos e também os pesquisadores na investigação da contribuição dos significados aqui discutidos nos fenômenos de aderên-cia ao tratamento e de um melhor prognóstico. ABSTRACTObjective: To discuss the meanings of the experiences of manic episodes in patients with bipolar disorder (BD). Methods: This is a qualitative research, done through semi-structured in-depth interviews in a sample closed by saturation criterion with eight patients with BD in remission. The technical data processing was done through qualitative content analysis of the transcribed interviews and categorization. The results were validated by peer-reviewers from the Laboratory of Clinical-Qualitative Research of the Department of Medical Psychology and Psychiatry, Unicamp consisting of 37 researchers of the method, including, masters,
Cardiovascular disease is the leading cause of mortality in Brazil and worldwide, and ischemic heart disease accounts for a large portion of this concerning scenario. 1 Among its forms of presentation, acute coronary syndrome (ACS) has a wide range of severity. 2 However, the use of validated mathematical models of clinical prediction is essential and recommended in national and international guidelines for the management of patients with ACS. 3,4 With this stratification, high-risk patients may receive more aggressive antiplatelet and antithrombotic therapy and early invasive intervention, whereas lower-risk patients may receive less aggressive treatments. 3,5 Based on the Global Registry of Acute Coronary Events (GRACE) report, the GRACE score was designed with 8 variables analyzed on patient's admission, 6 5 semiquantitative ones (age range, heart rate, systolic blood pressure, plasma creatinine, and Killip class) and 3
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