Accepted for/Published in:Journal of Medical Internet Research
Date Submitted:Apr 20, 2020
Open Peer Review Period:Apr 17, 2020 - Apr 27, 2020
Date Accepted:Nov 11, 2020
(closed for review but you can still tweet)
Warning:This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Using a mobile health application to support self-management in chronic kidney disease: a three-month cohort study
ABSTRACT
Objectives: Chronic kidney disease (CKD) is a global health burden. This study aimed to evaluate the effectiveness of wearable devices and a health management platform, and to establish a self-management model in CKD patients.
Methods:
这是一个90天的准实验研究。Sixty CKD stage 1-4 patients were enrolled, including the intervention group (n=30) and the control group (n= 30). All participants were provided with wearable devices and the exercise-related data were collected using the wearable devices. Both groups recorded their dietary diary using a smart phone application. All the information was uploaded to a health management platform and suggestions about diet and exercise were only made to the intervention group. A LINE group was created to inspire participants in the intervention group. The scores of the self-efficacy and self-management questionnaires, the Kidney Disease Quality of Life score, body composition, and laboratory examinations before and after the intervention were compared.
Results:
A total of 49 participants completed the study (25 in the intervention group, 24 in the control group, and comprised 73.5% male, with a mean age of 51.22 years). The measured baseline characteristics of both groups were the same except the educational background. After the intervention, the scores of self-efficacy (171.28±22.92 vs. 142.21±26.36, p<0.001) and self-management (54.16±6.71 vs. 47.58±6.42, p=0.001) were significantly higher in the intervention group. The score for the Kidney Disease Quality of Life was also higher in the intervention group (293.16±34.21 vs. 276.37±32.21, p=0.021). The steps per day increased in the intervention group (9768.56 during the 1st week, increasing to 11389.12 during the 12th week). The estimated glomerular filtration rate (eGFR) of the intervention group was higher than that of the control group (72.47±24.28 vs. 59.69±22.25 mL/min/1.73m2, p = 0.025). The decline in eGFR was significantly slower in the intervention group (-0.56 vs. -4.58 mL/min/1.73m2). There were no differences in body composition between both groups at the end of study.
Conclusions:
The application of wearable devices and a health management platform not only strengthened self-efficacy and self-management, but improved life quality and slowed down eGFR decline in patients with CKD stage 1-4. These results provide a self-management model and promote healthy lifestyle behaviors in CKD patients.
Citation
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Copyright
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