Kim Soo Hyun, Park Shin-Young, Lim Sung Mook, Yi Hyemin
School of Nursing, Inha University, 100 Inha-ro, Michuhol-gu, Incheon, South Korea.
Department of Surgery, Inha University Hospital & College of Medicine, Incheon, South Korea.
J Cancer Surviv. 2025 Jun 6. doi: 10.1007/s11764-025-01848-8.
This study tested the feasibility and preliminary efficacy of an artificial intelligence (AI)-based survivorship care plan (SCP) service (named "quality of life [QOL] + intervention") for posttreatment breast cancer survivors using digital platforms.
A single-arm prospective pilot study was conducted, and 38 posttreatment breast cancer survivors in South Korea were enrolled. The QOL + intervention consisted of 1) collection of patient-reported outcomes data from survivors via a mobile app, 2) automated generation of SCP via a website, and 3) in-person SCP review and counseling. Feasibility was assessed using study participation rate, retention rate, mobile app access rate, task completion rate, intervention satisfaction, etc. Preliminary efficacy was evaluated using changes in patient-provider interaction, patient activation, cancer survivors' self-efficacy, and QOL from baseline to 1 week after the intervention.
Feasibility assessment showed promising results, with a 70.7% participation rate, an 89.5% retention rate, an 88.2% mobile app access rate, a 91.2% task completion rate, and an 88.2% satisfaction rate. The QOL + intervention improved patient activation (p = 0.051, effect size = 0.29), self-efficacy (p = 0.040, effect size = 0.31), and QOL (p = 0.010, effect size = 0.42). However, no significant change occurred in patient-provider interaction after the intervention (p = 0.098).
The QOL + intervention was feasible and preliminarily effective in improving patient outcomes among posttreatment breast cancer survivors in South Korea. To obtain robust evidence, large-scale randomized controlled trials are warranted in future studies.
Survivorship care can be enhanced via AI-based digital technology. Trial registration KCT0009302.
本研究测试了一种基于人工智能（AI）的生存护理计划（SCP）服务（名为“生活质量[QOL]+干预”）通过数字平台用于乳腺癌治疗后幸存者的可行性和初步疗效。
开展了一项单臂前瞻性试点研究，纳入了韩国38名乳腺癌治疗后幸存者。QOL+干预包括：1）通过移动应用程序收集幸存者报告的结局数据；2）通过网站自动生成SCP；3）面对面的SCP审查和咨询。使用研究参与率、留存率、移动应用程序访问率、任务完成率、干预满意度等评估可行性。使用从基线到干预后1周患者与提供者互动、患者激活、癌症幸存者自我效能和生活质量的变化评估初步疗效。
可行性评估显示了有前景的结果，参与率为70.7%，留存率为89.5%，移动应用程序访问率为88.2%，任务完成率为91.2%，满意度为88.2%。QOL+干预改善了患者激活（p=0.051，效应量=0.29）、自我效能（p=0.040，效应量=0.31）和生活质量（p=0.010，效应量=0.42）。然而，干预后患者与提供者的互动没有显著变化（p=0.098）。
QOL+干预在改善韩国乳腺癌治疗后幸存者的患者结局方面是可行的且初步有效。为了获得有力证据，未来研究有必要进行大规模随机对照试验。
基于人工智能的数字技术可增强生存护理。试验注册号KCT0009302。
