ArticleJournal of personalized medicine2021
Mobile Health, Disease Knowledge, and Self-Care Behavior in Chronic Kidney Disease: A Prospective Cohort Study.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Effectiveness of Mobile Apps in Improving Medication Adherence Among Chronic Kidney Disease Patients: Systematic Review.Journal of medical Internet research · 2025Pooled it
- 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
- 10 tips on performing economic evaluation in kidney disease.Clinical kidney journal · 2026Review
- Demand Analysis of Mobile Health Applications for Patients with Chronic Kidney Disease Across Different E-Health Literacy Levels.Patient preference and adherence · 2026Article
- Mobile health application reduces dialysis catheter service time for patients with newly created arteriovenous fistulas.Frontiers in medicine · 2026Article
- Impact of pharmacist led mobile application on medication adherence and efficacy in chronic kidney disease.NPJ digital medicine · 2025Article
- Assessing the Effectiveness of Interactive Robot-Assisted Virtual Health Coaching for Health Literacy and Disease Knowledge of Patients with Chronic Kidney Disease: Quasiexperimental Study.Journal of medical Internet research · 2025Article
- Assessing the Effectiveness of an mHealth Intervention to Support Men Who Have Sex With Men Engaging in Chemsex (Budd): Single-Case and Pre-Post Experimental Design Study.JMIR formative research · 2024Article
- Use of Telenursing in the conservative treatment of patients with chronic renal insufficiency: scoping review.Revista latino-americana de enfermagem · 2024Article
- Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review.PloS one · 2024Article
- User Evaluation of a Chat-Based Instant Messaging Support Health Education Program for Patients With Chronic Kidney Disease: Preliminary Findings of a Formative Study.JMIR formative research · 2023Article
- Facilitators and barriers to mobile health adoption among older adults with hip fractures: A systematic review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Mobile health (mHealth) management is an emerging strategy of care for patients with chronic diseases. However, the effect of mHealth management on clinical outcomes of patients with chronic kidney disease (CKD) has not been well-studied. The aim of this study was to investigate the additional influence of mHealth on disease knowledge and self-care behavior in CKD patients who had received traditional education. We designed and developed a new healthcare mobile application, called iCKD, which has several major features, including home-based physiological signal monitoring, disease health education, nutrition analysis, medication reminder, and alarms and a warning system. Trained nurses interviewed patients with CKD using structured questionnaires of disease knowledge and self-care behavior. After propensity score matching, we analyzed 107 patients who used iCKD and traditional education, and 107 who received traditional education. The patients who used iCKD had higher disease knowledge scores than those who received traditional education. In multivariate analysis, iCKD was significantly and positively associated with disease knowledge scores. Patients with high education levels could have greater disease knowledge through using mHealth. There was no significant difference in total scores of self-care behavior between the two groups. In conclusion, mHealth can significantly increase disease knowledge in patients with CKD.
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What OpenQuestion holds
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.