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An Electronic Health Platform for Monitoring Health Conditions of Patients With Hypertension in the Brazilian Public Health System: Protocol for a Nonrandomized Controlled Trial.
De Marchi, Ana Carolina Bertoletti; Alves, Ana Luisa Sant' Anna; Gonçalves, Carla Beatrice Crivellaro; Cervi, Cristiano Roberto; Biduski, Daiana; Bellei, Ericles Andrei; Madalozzo, Guilherme Afonso; Da Cruz, Ivana Beatrice Mânica; Veiga, Jeangrei Emanoelli; Rodriguez, João Pedro Mazuco; Ferretto, Luciano Rodrigo; Bin, Luiz Carlos Pereira; Rebonatto, Marcelo Trindade; Portella, Marilene Rodrigues; Roman, Mateus Klein; Cechetti, Nathália Pinto; Rieder, Rafael; Debon, Raquel; Volpi, Simiane Salete.
Afiliação
  • De Marchi ACB; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Alves ALSA; Graduate Program in Human Aging, College of Physical Education and Physiotherapy, University of Passo Fundo, Passo Fundo, Brazil.
  • Gonçalves CBC; Undergraduate Program in Computer Science, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Cervi CR; Graduate Program in Human Aging, College of Physical Education and Physiotherapy, University of Passo Fundo, Passo Fundo, Brazil.
  • Biduski D; Municipal Health Department, Passo Fundo, Brazil.
  • Bellei EA; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Madalozzo GA; Undergraduate Program in Computer Science, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Da Cruz IBM; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Veiga JE; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Rodriguez JPM; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Ferretto LR; Undergraduate Program in Computer Science, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Bin LCP; Graduate Program in Gerontology, Center of Physical Education and Sports, Federal University of Santa Maria, Santa Maria, Brazil.
  • Rebonatto MT; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Portella MR; Undergraduate Program in Computer Science, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Roman MK; Undergraduate Program in Computer Science, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Cechetti NP; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Rieder R; Hospital of Clinics of Passo Fundo, Passo Fundo, Brazil.
  • Debon R; Graduate Program in Applied Computing, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
  • Volpi SS; Undergraduate Program in Computer Science, Institute of Exact Sciences and Geosciences, University of Passo Fundo, Passo Fundo, Brazil.
JMIR Res Protoc ; 9(1): e15299, 2020 Jan 20.
Article em En | MEDLINE | ID: mdl-31958068
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials País/Região como assunto: America do sul / Brasil Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials País/Região como assunto: America do sul / Brasil Idioma: En Revista: JMIR Res Protoc Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Canadá