Cited by 4Cancer survivorship and careMobile Health and mHealth ApplicationsDigital Mental Health Interventions

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Feasibility and preliminary efficacy of an artificial intelligence-based cancer survivorship care plan service using digital platforms: a single-arm prospective pilot study

Kim, Soo Hyun, Park, Shin-Young, Lim, Sung Mook, Yi, Hyemin·2026·Journal of Cancer Survivorship

Abstract

Purpose 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. Methods 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. Results 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). Conclusions The QOL + intervention was feasible and preliminarily e…

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Metadata

Authors
Kim, S. H., Park, S.-Y., Lim, S. M., & Yi, H.
Affiliations
Inha University (KR)
Corresponding author
Kim, Soo Hyun
Venue
Journal of Cancer Survivorship
Published
2025-06-06
Volume
20
Issue
S1
Pages
544-555
ISSN
  • 1932-2259 (ISSN-L)
  • 1932-2267
OpenAlex
W4411109503
Cited by
4
References
1
Citations by year
2026: 3 · 2025: 1
FWCI
1.65
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Cancer Survivorship (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Research Foundation of Korea grant funded by the Korea government (RS-2022-NR070003)
Topics
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
breast cancer survivors, survivorship care plans, artificial intelligence, digital health platforms, mobile application, patient activation, self-efficacy, quality of life, patient-provider interaction, feasibility
MeSH terms
Cancer Survivors, Survivorship, Digital Health, Adult, Aged, Artificial Intelligence, Breast Neoplasms, Feasibility Studies, Female, Humans, Middle Aged, Patient Care Planning, Pilot Projects, Prospective Studies, Quality of Life, Republic of Korea, Mobile Applications

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