Back to Search Start Over

Feasibility of Postoperative Follow-up Cloud Platform Based on a Standardized Discourse Form in COVID-19 Pandemic: Web-Based Study (Preprint)

Authors :
Zhe Wu
Zhangfeng Huang
Ao Liu
Yi Qin
Xiao Sun
Wenxing Du
Yandong Zhao
Rongjian Xu
Tong Qiu
Wenjie Jiao
Publication Year :
2022
Publisher :
JMIR Publications Inc., 2022.

Abstract

BACKGROUND Affected by the COVID-19, a great many patients were quarantined and could not go to the hospital, which made the outpatient follow-up unable to be carried out normally. OBJECTIVE Our study aimed to assess the feasibility of a postoperative follow-up cloud platform based on a standardized discourse form among postoperative patients with lung cancer in COVID-19 pandemic. METHODS The postoperative follow-up cloud platform was established by designing a standardized discourse form, and constructing a follow-up database and a health education center. The follow-up team was comprised of fixed and experienced full-time doctors. A total of 184 and 178 patients as the intervention and control group, who were followed up by the cloud platform and outpatient department. At the end of the follow-up period, our center carried out the satisfaction with follow-up and SF-36 health questionnaire survey. RESULTS There was no statistically significant difference in the baseline characteristics of the patients between the two groups. At the end of the follow-up period, satisfaction with follow-up in the intervention group was better than that in the control group (96.74%, 178/184 vs 87.08%, 155/178; P<0.001). The intervention group had the similar results compared with the control group in SF-36 scales (Average, 64.79±13.59 vs 63.07±15.00; P=0.256). CONCLUSIONS The postoperative follow-up cloud platform based on a standardized discourse form can break the limitations of time and space, improve medical service and doctor-patient communication, and promote scientific research, which is feasible in COVID-19 pandemic.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........40cd70ac4d9a8cb136aa6fd77e6e2702
Full Text :
https://doi.org/10.2196/preprints.38018