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

Bioinformatics Web Tools (2) mHealth for Treatment Adherence (404) Mobile Health (mhealth) (2982) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36766, first published .
Monitoring Risk Factors and Improving Adherence to Therapy in Patients With Chronic Kidney Disease (Smit-CKD Project): Pilot Observational Study

Monitoring Risk Factors and Improving Adherence to Therapy in Patients With Chronic Kidney Disease (Smit-CKD Project): Pilot Observational Study

Monitoring Risk Factors and Improving Adherence to Therapy in Patients With Chronic Kidney Disease (Smit-CKD Project): Pilot Observational Study

Authors of this article:

Antonio Vilasi1 Author Orcid Image ;   Vincenzo Antonio Panuccio2 Author Orcid Image ;   Salvatore Morante3 Author Orcid Image ;   Antonino Villa3 Author Orcid Image ;   Maria Carmela Versace1 Author Orcid Image ;   Sabrina Mezzatesta1 Author Orcid Image ;   Sergio Mercuri4 Author Orcid Image ;   Rosalinda Inguanta5 Author Orcid Image ;   Giuseppe Aiello5 Author Orcid Image ;   Demetrio Cutrupi1 Author Orcid Image ;   Rossella Puglisi3 Author Orcid Image ;   Salvatore Capria1 Author Orcid Image ;   Maurizio Li Vigni3 Author Orcid Image ;   Giovanni Tripepi1 Author Orcid Image ;   Claudia Torino1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Ma J, Wang J, Ying J, Xie S, Su Q, Zhou T, Han F, Xu J, Zhu S, Yuan C, Huang Z, Xu J, Chen X, Bian X. Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study. Journal of Medical Internet Research 2024;26:e54206 View