Impact of remote follow-up under an intelligent medical collaboration model on health promotion and clinical outcomes in patients with urinary calculi.
10.11817/j.issn.1672-7347.2025.250123
- Author:
Yuting YANG
1
,
2
;
Fengyan SONG
3
;
Jiacheng HE
4
;
Wenmin JI
3
;
Yuyue XU
3
;
Jing TAN
5
;
Juan XUE
1
,
6
Author Information
1. Department of Outpatient, Third Xiangya Hospital, Central South University, Changsha
2. 227812069@csu.edu.cn.
3. Xiangya Nursing School, Central South University, Changsha
4. School of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha
5. Department of Urology, Third Xiangya Hospital, Central South University, Changsha
6. 355963@qq.com.
- Publication Type:Randomized Controlled Trial
- Keywords:
follow-up;
post-discharge care;
quality of life;
telemedicine;
urinary calculi
- MeSH:
Humans;
Quality of Life;
Male;
Female;
Urinary Calculi/therapy*;
Health Promotion/methods*;
Middle Aged;
Adult;
Follow-Up Studies;
Treatment Outcome
- From:
Journal of Central South University(Medical Sciences)
2025;50(5):876-887
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:Urinary calculi are characterized by a high recurrence rate, and patients' adherence to self-management after discharge directly affects health outcomes. Traditional offline follow-up models often face problems such as poor compliance and uneven allocation of medical resources, making it difficult to meet individualized health management needs. Remote follow-up provides a novel solution to optimize long-term management, improve health literacy, and enhance clinical outcomes. This study aims to evaluate the effect of remote follow-up under an intelligent medical collaborative model on quality of life and health-promoting lifestyle in patients with urinary calculi, and to assess its short-term impact on clinical outcomes.
METHODS:A total of 118 patients with urinary calculi admitted to a tertiary hospital in Hunan Province between August and November 2024 were recruited and randomly assigned to a control group (n=59) or an intervention group (n=59). The control group received routine departmental follow-up, while the intervention group underwent remote follow-up based on an intelligent medical collaborative model for one month. Assessments were conducted before discharge (T0), 15 days after discharge (T1), and one month after discharge (T2), using the Wisconsin Stone Quality of Life Questionnaire and the Health-Promoting Lifestyle Profile. At T2, the incidence of forgotten ureteral stents (FUS), ureteral stent-related complications, unplanned readmissions, and patient satisfaction were evaluated.
RESULTS:No significant differences were observed between groups at T0 in baseline characteristics or outcome measures (all P>0.05). At T1 and T2, the intervention group had significantly higher health-related quality of life scores than the control group (P<0.05). Generalized estimating equation (GEE) analysis showed significant between-group effects (Wald's χ2=22.961, P<0.001), time effects (Wald's χ2=23.065, P<0.001), and interaction effects (Wald's χ2=6.930, P<0.05). Similarly, at T1 and T2, the intervention group scored significantly higher on health-promoting lifestyle than the control group (P<0.05), with significant between-group effects (Wald's χ2=22.936, P<0.001), time effects (Wald's χ2=10.694, P<0.001), and interaction effects (Wald's χ2=18.921, P<0.05). No significant differences were found between groups in the incidence of FUS, ureteral stent-related complications, or unplanned readmissions (all P>0.05). Patient satisfaction was significantly higher in the intervention group (t=4.089, P<0.001).
CONCLUSIONS:Remote follow-up under an intelligent medical collaborative model helps improve quality of life, promote health-oriented lifestyles, and enhance patient satisfaction among individuals with urinary calculi.
