ArticleBMC medical informatics and decision making2018
Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries.
Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- The impact of mobile health applications on the outcomes of patients with chronic kidney disease: a systematic review and meta-analysis.Journal of medicine and life · 2023Pooled it
- Human-Centered Design of Mobile Health Apps for Older Adults: Systematic Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- User-Centered Virtual Clinic Services for Remote, Rural, and Underserved Sub-Saharan Africa: Development and Usability Study.JMIR human factors · 2026Article
- Leveraging ICT Tools to Improve Kidney Health: A Comprehensive Review of Innovations in Nephrology.Healthcare (Basel, Switzerland) · 2026Review
- User Experience in mHealth Research: Bibliometric Analysis of Trends and Developments (2007-2023).JMIR mHealth and uHealth · 2025Review
- Current Implementation of Digital Health in Chronic Disease Management: Scoping Review.Journal of medical Internet research · 2024Article
- Understanding the multilevel factors influencing the implementation of digital health interventions for supportive care in Adolescents and Young Adult (AYA) cancer survivorship: determinants of adopting mindfulness-based mobile applications.Implementation science communications · 2024Article
- Nurses' Roles in mHealth App Development: Scoping Review.JMIR nursing · 2023Article
- Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review.Journal of medical Internet research · 2023Article
- iCHECK-DH: Guidelines and Checklist for the Reporting on Digital Health Implementations.Journal of medical Internet research · 2023Article
- Human-centered design of clinical decision support for management of hypertension with chronic kidney disease.BMC medical informatics and decision making · 2022Article
- Adopting mobile health applications by nurses: a scoping review.Journal of research in nursing : JRN · 2022Article
- Predicting the survival of kidney transplantation: design and evaluation of a smartphone-based application.BMC nephrology · 2022Article
- Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data.Sensors (Basel, Switzerland) · 2021Article
- An Intelligent Individualized Cardiovascular App for Risk Elimination (iCARE) for Individuals With Coronary Heart Disease: Development and Usability Testing Analysis.JMIR mHealth and uHealth · 2021Article
- Prevention and control of urinary tract stones using a smartphone-based self-care application: design and evaluation.BMC medical informatics and decision making · 2021Article
- Individualized mobile health interventions for cardiovascular event prevention in patients with coronary heart disease: study protocol for the iCARE randomized controlled trial.BMC cardiovascular disorders · 2021Article
- Classification Models for COVID-19 Test Prioritization in Brazil: Machine Learning Approach.Journal of medical Internet research · 2021Article
- Patient-Centered Self-Management in Patients with Chronic Kidney Disease: Challenges and Implications.International journal of environmental research and public health · 2020Review
- CKDNET, a quality improvement project for prevention and reduction of chronic kidney disease in the Northeast Thailand.BMC public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplantation, and consequently, affects mortality rates. This issue is faced by a mobile health (mHealth) application (app) that aims to assist the early diagnosis and self-monitoring of the disease progression.
methodsA user-centered design (UCD) approach involving health professionals (nurse and nephrologists) and target users guided the development process of the app between 2012 and 2016. In-depth interviews and prototyping were conducted along with healthcare professionals throughout the requirements elicitation process. Elicited requirements were translated into a native mHealth app targeting the Android platform. Afterward, the Cohen's Kappa coefficient statistics was applied to evaluate the agreement between the app and three nephrologists who analyzed test results collected from 60 medical records. Finally, eight users tested the app and were interviewed about usability and user perceptions.
resultsA mHealth app was designed to assist the CKD early diagnosis and self-monitoring considering quality attributes such as safety, effectiveness, and usability. A global Kappa value of 0.7119 showed a substantial degree of agreement between the app and three nephrologists. Results of face-to-face interviews with target users indicated a good user satisfaction. However, the task of CKD self-monitoring proved difficult because most of the users did not fully understand the meaning of specific biomarkers (e.g., creatinine).
conclusionThe UCD approach provided mechanisms to develop the app based on the real needs of users. Even with no perfect Kappa degree of agreement, results are satisfactory because it aims to refer patients to nephrologists in early stages, where they may confirm the CKD diagnosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.