Abstract
Chronic kidney disease (CKD) is a Public Health problem affecting a considerable number of patients worldwide. CKD treatment is complex and requires patients' education. Based on this we have created technological tools, including an application for smartphones and a profile on Instagram (Renal Health) aiming to educate patients to self-monitor and cope with their disease, to increase adherence to treatment. In this study, we have analyzed the spontaneous feedbacks patients, and other people have posted on the Renal Health Instagram (comments) to investigate which information was needed the most by which types of patients. During the first 15 months since the release of this profile, there were 3380 followers, a total of 449 posts, with 36,079 “likes”. Most of the followers were patients and parents, they gave spontaneous testimonials of their experiences with having kidney disease, and were thankful for the information provided and for the response we gave to their questions. From the analysis of the comments, we found that information on nutrition, physical activities and kidney transplant were the most discussed and valued. Our results also showed that the main use of this medium for dialysis and transplant patients was to share their experience. The Renal Health Instagram was considered a good digital platform of trusted information for both patients and the general population and also a space for sharing experiences in the context of kidney disease epidemics.
Original language | English |
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Pages (from-to) | 781-785 |
Number of pages | 5 |
Journal | Studies in Health Technology and Informatics |
Volume | 270 |
DOIs | |
Publication status | Published - 16 Jun 2020 |
Event | 30th Medical Informatics Europe Conference, MIE 2020 - Geneva, Switzerland Duration: 28 Apr 2020 → 1 May 2020 |
Bibliographical note
Funding Information:We are very grateful to the International Society of Nephrology (ISN) and the Edson Queiroz Foundation/University of Fortaleza for the financial support given to the Renal Health project. We also thank the Brazilian Research Council (CNPq) and the Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (FUNCAP) for research grants provided for GBSJ and JGRO during the development of this study.
Publisher Copyright:
© 2020 European Federation for Medical Informatics (EFMI) and IOS Press.