This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1423) Telehealth and Telemonitoring (1708) Decision Support for Health Professionals (1199) Health Services in Resource-Poor Settings and LMICs (421) Diabetes Health Services and System Innovations (119) Telemedicine for Diabetes (95) Hypertension Prevention and Treatment (228)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18872, first published .
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

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

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

Authors of this article:

Milena Soriano Marcolino1, 2 Author Orcid Image ;   João Antonio Queiroz Oliveira1, 2 Author Orcid Image ;   Christiane Corrêa Rodrigues Cimini3 Author Orcid Image ;   Junia Xavier Maia2 Author Orcid Image ;   Vânia Soares Oliveira Almeida Pinto3 Author Orcid Image ;   Thábata Queiroz Vivas Sá2 Author Orcid Image ;   Kaique Amancio1, 2 Author Orcid Image ;   Lissandra Coelho3 Author Orcid Image ;   Leonardo Bonisson Ribeiro2 Author Orcid Image ;   Clareci Silva Cardoso4 Author Orcid Image ;   Antonio Luiz Ribeiro1, 2 Author Orcid Image
Article Authors Cited by (24) Tweetations (9) Metrics

Journals

  1. Cho H, Keenan G, Madandola O, Dos Santos F, Macieira T, Bjarnadottir R, Priola K, Dunn Lopez K. Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation. JMIR Human Factors 2022;9(2):e31758 View
  2. Hogg H, Al-Zubaidy M, Talks J, Denniston A, Kelly C, Malawana J, Papoutsi C, Teare M, Keane P, Beyer F, Maniatopoulos G. Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence. Journal of Medical Internet Research 2023;25:e39742 View
  3. Kim S, Kim E, Kim H. Physician Knowledge Base: Clinical Decision Support Systems. Yonsei Medical Journal 2022;63(1):8 View
  4. Cimini C, Maia J, Pires M, Ribeiro L, Pinto V, Batchelor J, Ribeiro A, Marcolino M. Pandemic-Related Impairment in the Monitoring of Patients With Hypertension and Diabetes and the Development of a Digital Solution for the Community Health Worker: Quasiexperimental and Implementation Study. JMIR Medical Informatics 2022;10(3):e35216 View
  5. Umaefulam V, Premkumar K, Koole M. Perceptions on mobile health use for health education in an Indigenous population. DIGITAL HEALTH 2022;8:205520762210925 View
  6. Gonçalves R, Pagano A, Reis Z, Brackstone K, Lopes T, Cordeiro S, Nunes J, Afagbedzi S, Head M, Meira Jr W, Batchelor J, Ribeiro A. Usability of Telehealth Systems for Noncommunicable Diseases in Primary Care From the COVID-19 Pandemic Onward: Systematic Review. Journal of Medical Internet Research 2023;25:e44209 View
  7. Sung M, He J, Zhou Q, Chen Y, Ji J, Chen H, Li Z. Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review. Journal of Medical Internet Research 2022;24(7):e37338 View
  8. Johnson L, Nikhare K, Jaganathan S, Ali M, Narayan K, Prabhakaran D, Tandon N, Singh K. Stakeholder Perspectives Regarding the Acceptability and Sustainability of a Multi-Component Diabetes Care Strategy in South Asia: A Longitudinal Qualitative Analysis. Global Implementation Research and Applications 2022;2(4):350 View
  9. Oliveira J, Cimini C, Almeida V, Maia J, Resende R, Gualberto L, Santos P, Gomes P, Bonisson L, Paixão M, Costa J, Cardoso C, Santo K, Ribeiro A, Martins M, Marcolino M. The Challenges of Implementing a Text Message Intervention to Promote Behavioral Change in Primary Care Patients With Hypertension and Diabetes. International Journal of Cardiovascular Sciences 2023;36 View
  10. Fonseca S, Ribeiro A, Cimini C, Soares T, Delfino-Pereira P, Nogueira L, Moura R, Motta-Santos D, Ribeiro L, Camargos M, Paixão M, Pires M, Batchelor J, Marcolino M. Scale up of implementation of a multidimensional intervention to enhance hypertension and diabetes care at the primary care setting: A protocol for a cluster-randomized study in Brazil. American Heart Journal 2023;262:119 View
  11. Roman A. A Closer Look Into Brazil’s Healthcare System: What Can We Learn?. Cureus 2023 View
  12. Andrade M, de Souza Noronha K, Santos A, Maia J, Nogueira L, Cimini C, Furtado M, Coelho L, Marcolino M, Ribeiro A. HBA1C point-of-care testing for diabetes control in a low-income population: A before and after study and cost-parity analysis HbA1c point-of-care testing for diabetes control. Primary Care Diabetes 2023;17(5):447 View
  13. Wiwatkunupakarn N, Aramrat C, Pliannuom S, Buawangpong N, Pinyopornpanish K, Nantsupawat N, Mallinson P, Kinra S, Angkurawaranon C. The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45944 View
  14. Idris H, Nugraheni W, Rachmawati T, Kusnali A, Yulianti A, Purwatiningsih Y, Nuraini S, Susianti N, Faisal D, Arifin H, Maharani A. How Is Telehealth Currently Being Utilized to Help in Hypertension Management within Primary Healthcare Settings? A Scoping Review. International Journal of Environmental Research and Public Health 2024;21(1):90 View
  15. Wang J, Ji M, Han Y, Wu Y. Development and Usability Testing of a Mobile App–Based Clinical Decision Support System for Delirium: Randomized Crossover Trial. JMIR Aging 2024;7:e51264 View
  16. da Silva E, Saturno-Hernández P, de Freitas M, da Silva Gama Z. Motivational drivers for health professionals in a large quality improvement collaborative project in Brazil: a qualitative study. BMC Health Services Research 2024;24(1) View
  17. Vest T, Gazda N, O’Neil D, Eckel S. Practice-enhancing publications about the medication-use process in 2021. American Journal of Health-System Pharmacy 2024;81(17):e489 View
  18. Brant L, Miranda J, Carrillo-Larco R, Flood D, Irazola V, Ribeiro A. Epidemiology of cardiometabolic health in Latin America and strategies to address disparities. Nature Reviews Cardiology 2024;21(12):849 View
  19. Melo L, Ribeiro A, Oliveira J, Maia J, Sá T, Pinto V, Lima M, Enlich P, Ribeiro L, Cimini C, Marcolino M. Development and Implementation of a Computerized Decision Support System for Screening Hypertension and Diabetes in a Resource-Constrained Region. International Journal of Cardiovascular Sciences 2024;37 View
  20. Tahir H, Habib S, Jabeen R, Dhanwani A, Jawed S, Guerrero-Torres L, Khurram S, Aga I, Karim M, Kazi A, Zaidi S. Protocol of digital decision support system (DDSS) embedded within a tele-primary healthcare platform in Pakistan: an assessment of usability, acceptability, effectiveness and perceived quality of care in a resource-constrained setting. BMJ Open 2024;14(9):e082167 View
  21. Kang M, Kim M. Managing Postembolization Syndrome Through a Machine Learning–Based Clinical Decision Support System. CIN: Computers, Informatics, Nursing 2024;42(11):817 View
  22. Ali S, Osman Mohamed A, Osman H, Abdelrahman Ibrahim M, Hassan Mukhtar M, Ahmed Mohamed F, Alhajri A. The Role of Telemedicine in Improving Hypertension Management Outcomes: A Systematic Review. Cureus 2024 View
  23. Grechuta K, Shokouh P, Alhussein A, Müller-Wieland D, Meyerhoff J, Gilbert J, Purushotham S, Rolland C. Benefits of Clinical Decision Support Systems for the Management of Noncommunicable Chronic Diseases: Targeted Literature Review. Interactive Journal of Medical Research 2024;13:e58036 View

Books/Policy Documents

  1. Malerbi F, Taleb A, Morales P, Andrade R. Diseases of the Retina and Vitreous. View