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

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377) mHealth in a Clinical Setting (624) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428)

Published on in Vol 6, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10173, first published .
Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps

Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps

Mobile Health to Maintain Continuity of Patient-Centered Care for Chronic Kidney Disease: Content Analysis of Apps

Authors of this article:

Ying-Li Lee1, 2 Author Orcid Image ;   Yan-Yan Cui1 Author Orcid Image ;   Ming-Hsiang Tu1 Author Orcid Image ;   Yu-Chi Chen3 Author Orcid Image ;   Polun Chang1 Author Orcid Image
Article Authors Cited by (29) Tweetations (7) Metrics

Journals

  1. Cherrez-Ojeda I, Felix M, Mata V, Vanegas E, Gavilanes A, Chedraui P, Simancas-Racines D, Calderon J, Ortiz F, Blum G, Plua A, Gonzalez G, Moscoso G, Morquecho W. Preferences of ICT among Patients with Chronic Kidney Disease Undergoing Hemodialysis: An Ecuadorian Cross-Sectional Study. Healthcare Informatics Research 2018;24(4):292 View
  2. Dubin R, Rubinsky A. A Digital Modality Decision Program for Patients With Advanced Chronic Kidney Disease. JMIR Formative Research 2019;3(1):e12528 View
  3. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
  4. Fakih El Khoury C, Crutzen R, Schols J, Halfens R, Karavetian M. A Dietary Mobile App for Patients Undergoing Hemodialysis: Prospective Pilot Study to Improve Dietary Intakes. Journal of Medical Internet Research 2020;22(7):e17817 View
  5. Lim J, Lim C, Ibrahim I, Syahrul J, Mohamed Zabil M, Zakaria N, Daud Z. Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study. JMIR mHealth and uHealth 2020;8(6):e13808 View
  6. Smekal M, Gil S, Donald M, Beanlands H, Straus S, Herrington G, Sparkes D, Harwood L, Tong A, Grill A, Tu K, Waldvogel B, Large C, Large C, Novak M, James M, Elliott M, Delgado M, Brimble S, Samuel S, Hemmelgarn B. Content and Quality of Websites for Patients With Chronic Kidney Disease: An Environmental Scan. Canadian Journal of Kidney Health and Disease 2019;6 View
  7. Yang Y, Chen H, Qazi H, Morita P. Intervention and Evaluation of Mobile Health Technologies in Management of Patients Undergoing Chronic Dialysis: Scoping Review. JMIR mHealth and uHealth 2020;8(4):e15549 View
  8. Eaton C, Comer M, Pruette C, Psoter K, Riekert K. Text Messaging Adherence Intervention for Adolescents and Young Adults with Chronic Kidney Disease: Pilot Randomized Controlled Trial and Stakeholder Interviews. Journal of Medical Internet Research 2020;22(8):e19861 View
  9. Singh K, Diamantidis C, Ramani S, Bhavsar N, Mara P, Warner J, Rodriguez J, Wang T, Wright-Nunes J. Patients’ and Nephrologists’ Evaluation of Patient-Facing Smartphone Apps for CKD. Clinical Journal of the American Society of Nephrology 2019;14(4):523 View
  10. Marco-Ruiz L, Wynn R, Oyeyemi S, Budrionis A, Yigzaw K, Bellika J. Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study. Journal of Medical Internet Research 2020;22(3):e13116 View
  11. Grainger R, Devan H, Sangelaji B, Hay-Smith J. Issues in reporting of systematic review methods in health app-focused reviews: A scoping review. Health Informatics Journal 2020;26(4):2930 View
  12. Li W, Chiu F, Zeng J, Li Y, Huang S, Yeh H, Cheng B, Yang F. Mobile Health App With Social Media to Support Self-Management for Patients With Chronic Kidney Disease: Prospective Randomized Controlled Study. Journal of Medical Internet Research 2020;22(12):e19452 View
  13. McLoughlin L, Carey C, Dooley S, Kennedy H, McLoughlin I. An observational study of a cross platform risk assessment mobile application in a forensic inpatient setting. Journal of Psychiatric Research 2021;138:388 View
  14. Hosseini A, Jackson A, Chegini N, Dehghan M, Mazloum D, Haghani S, Bahramnezhad F. The effect of an educational app on hemodialysis patients’ self-efficacy and self-care: A quasi-experimental longitudinal study. Chronic Illness 2023;19(2):383 View
  15. Kotsis F, Bächle H, Altenbuchinger M, Dönitz J, Njipouombe Nsangou Y, Meiselbach H, Kosch R, Salloch S, Bratan T, Zacharias H, Schultheiss U. Expectation of clinical decision support systems: a survey study among nephrologist end-users. BMC Medical Informatics and Decision Making 2023;23(1) View
  16. Li W, Yeh J, Cheng C, Huang S, Yeh H, Cheng B, Lin J, Yang F. Digital health interventions to promote healthy lifestyle in hemodialysis patients: an interventional pilot study. Scientific Reports 2024;14(1) View
  17. Chao S, Wang M, Fang Y, Lin M, Chen S. Mobile Apps for Patients with Peritoneal Dialysis: Systematic App Search and Evaluation. Healthcare 2024;12(7):719 View
  18. Martínez B, Maria Moraes da Silva K, Moraes Ramos F, Brandão da Costa G, Júlia Pereira de Oliveira A, Ribeiro Moraes S. Aplicativo móvel sobre testes laboratoriais na doença renal crônica. Scientia Medica 2024;34(1):e45174 View
  19. Shen H, van der Kleij R, van der Boog P, Chavannes N. Developing a Tailored eHealth Self-Management Intervention for Patients With Chronic Kidney Disease in China: Intervention Mapping Approach. JMIR Formative Research 2024;8:e48605 View
  20. Staehelin D, Dolata M, Stöckli L, Schwabe G. How Patient-Generated Data Enhance Patient-Provider Communication in Chronic Care: Field Study in Design Science Research. JMIR Medical Informatics 2024;12:e57406 View
  21. Martins A, Ferreira M, Fernandes C. Emerging technologies for supporting patients during Hemodialysis: A scoping review. International Journal of Medical Informatics 2025;193:105664 View
  22. 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
  23. Chen H, Tu M, Chen M. Using the Mobile Health App to Enhance the Effectiveness of Bowel Preparation: Development and Usability Study (Preprint). JMIR Human Factors 2024 View

Books/Policy Documents

  1. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  2. Marinho C, Gomes O, da Silva Junior G, de Oliveira J, Schwingel P. Innovations in Nephrology. View
  3. da Silva Junior G, Bezerra G, Moura-Neto J, Souza E, Suassuna J, Nangaku M. Innovations in Nephrology. View
  4. Marinho C, Gomes O, da Silva Junior G, de Oliveira J, Schwingel P. Innovationen in der Nephrologie. View
  5. da Silva Junior G, Bezerra G, Moura-Neto J, Souza E, Suassuna J, Nangaku M. Innovationen in der Nephrologie. View