Published on in Vol 7, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9869, first published .
Development and Evaluation of a Mobile Decision Support System for Hypertension Management in the Primary Care Setting in Brazil: Mixed-Methods Field Study on Usability, Feasibility, and Utility

Development and Evaluation of a Mobile Decision Support System for Hypertension Management in the Primary Care Setting in Brazil: Mixed-Methods Field Study on Usability, Feasibility, and Utility

Development and Evaluation of a Mobile Decision Support System for Hypertension Management in the Primary Care Setting in Brazil: Mixed-Methods Field Study on Usability, Feasibility, and Utility

Journals

  1. Debon R, Bellei E, Biduski D, Volpi S, Alves A, Portella M, De Marchi A. Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy. Scientific Reports 2020;10(1) View
  2. Santo K, Redfern J. The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control. Current Hypertension Reports 2019;21(10) View
  3. Daud M, Ramli A, Abdul-Razak S, Isa M, Yusoff F, Baharudin N, Mohamed-Yassin M, Badlishah-Sham S, Nikmat A, Jamil N, Mohd-Nawawi H. The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial. Trials 2020;21(1) View
  4. Marcolino M, Oliveira J, Cimini C, Maia J, Pinto V, Sá T, Amancio K, Coelho L, Ribeiro L, Cardoso C, Ribeiro A. Development and Implementation of a Decision Support System to Improve Control of Hypertension and Diabetes in a Resource-Constrained Area in Brazil: Mixed Methods Study. Journal of Medical Internet Research 2021;23(1):e18872 View
  5. Vuppala S, Turer C. Clinical Decision Support for the Diagnosis and Management of Adult and Pediatric Hypertension. Current Hypertension Reports 2020;22(9) View
  6. De Marchi A, Alves A, Gonçalves C, Cervi C, Biduski D, Bellei E, Madalozzo G, Da Cruz I, Veiga J, Rodriguez J, Ferretto L, Bin L, Rebonatto M, Portella M, Roman M, Cechetti N, Rieder R, Debon R, Volpi S. An Electronic Health Platform for Monitoring Health Conditions of Patients With Hypertension in the Brazilian Public Health System: Protocol for a Nonrandomized Controlled Trial. JMIR Research Protocols 2020;9(1):e15299 View
  7. Hankins J, Shah N, DiMartino L, Brambilla D, Fernandez M, Gibson R, Gordeuk V, Lottenberg R, Kutlar A, Melvin C, Simon J, Wun T, Treadwell M, Calhoun C, Baumann A, Potter M, Klesges L, Bosworth H. Integration of Mobile Health Into Sickle Cell Disease Care to Increase Hydroxyurea Utilization: Protocol for an Efficacy and Implementation Study. JMIR Research Protocols 2020;9(7):e16319 View
  8. Diao X, Huo Y, Yan Z, Wang H, Yuan J, Wang Y, Cai J, Zhao W. An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records. JMIR Medical Informatics 2021;9(1):e19739 View