构建并评估一个用于妇科化疗患者的云端随访平台。

Construction and evaluation of a cloud follow-up platform for gynecological patients receiving chemotherapy.

机构信息

Department of Radiation Therapy and Chemotherapy for Cancer Nursing, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.

Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610041, Sichuan, China.

出版信息

BMC Health Serv Res. 2024 Jan 22;24(1):116. doi: 10.1186/s12913-024-10597-w.

DOI:10.1186/s12913-024-10597-w

PMID:38254152

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10802037/

Abstract

BACKGROUND

Patient follow-up is an essential component of hospital management. In the current information era, the patient follow-up scheme is expected to be replaced by Internet technology. This study constructed a cloud follow-up platform for gynecological chemotherapy patients and assessed its cost-effectiveness and patients' feedback.

METHODS

A total of 2,538 patients were followed up using a cloud follow-up system between January and October 2021. Prior to this, 690 patients were followed manually via telephone calls. Patients' characteristics, follow-up rate, satisfaction, and session duration were compared between the cloud follow-up and manual follow-up groups. In addition, the read rate of health education materials in the cloud follow-up group was analyzed.

RESULTS

General information, including age, education attainment, cancer stage, and disease category, and follow-up rate (cloud: 6,957/7,614, 91.4%; manual: 1,869/2,070, 90.3%; P = 0.13) did not significantly differ between the two groups. The follow-up satisfaction of the cloud follow-up patients was significantly better than that of the manual follow-up group (cloud: 7,192/7,614, 94.5%; manual: 1,532/2,070, 74.0%; P<0.001). The time spent on the follow-up was approximately 1.2 h for 100 patients in the cloud follow-up group and 10.5 h in the manual follow-up group. Multivariate analysis indicated that the cloud follow-up group had significantly greater follow-up satisfaction (odds ratio: 2.239, 95% CI: 1.237 ~ 5.219). Additionally, the average follow-up duration of the cloud follow-up group decreased by 9.287 h (coefficient: -9.287, 95% CI: -1.439~-0.165). The read rate of health education materials was 72.9% in the cloud follow-up group.

CONCLUSIONS

The follow-up effect of the cloud follow-up group was not inferior to that of the manual follow-up group. The cloud follow-up was more effective for prevention and control requirements in the post-epidemic era. Cloud follow-up can save medical resources, improve cost-effectiveness, provide sufficient health education resources for patients, and improve their satisfaction.

摘要

背景

患者随访是医院管理的重要组成部分。在当前的信息时代，人们期望患者随访计划能够被互联网技术所取代。本研究构建了一个妇科化疗患者的云随访平台，并评估了其成本效益和患者反馈。

方法

2021 年 1 月至 10 月，共有 2538 名患者通过云随访系统进行随访。在此之前，有 690 名患者通过电话进行了手动随访。比较了云随访组和手动随访组患者的特征、随访率、满意度和随访时长。此外，还分析了云随访组健康教育材料的阅读率。

结果

两组患者的一般信息，包括年龄、受教育程度、癌症分期和疾病类型以及随访率（云随访：6957/7614，91.4%；手动随访：1869/2070，90.3%；P=0.13）无显著差异。云随访组患者的随访满意度明显优于手动随访组（云随访：7192/7614，94.5%；手动随访：1532/2070，74.0%；P<0.001）。云随访组每位患者的随访时间约为 1.2 小时，而手动随访组为 10.5 小时。多变量分析表明，云随访组的随访满意度显著更高（比值比：2.239，95%置信区间：1.237~~5.219）。此外，云随访组的平均随访时间减少了 9.287 小时（系数：-9.287，95%置信区间：-1.439~~-0.165）。云随访组健康教育材料的阅读率为 72.9%。