Cited by 27Cancer survivorship and careMobile Health and mHealth ApplicationsDigital Mental Health Interventions

Effects of the “AI-TA” Mobile App With Intelligent Design on Psychological and Related Symptoms of Young Survivors of Breast Cancer: Randomized Controlled Trial

Open access
Jiang, Lulu, Xu, Jiehui, Wu, Yanwei, Liu, Yanyan, Wang, Xiyi, Hu, Yun·2024·JMIR mHealth and uHealth

Published version of a preprint

Abstract

Background: Young women often face substantial psychological challenges in the initial years following cancer diagnosis, leading to a comparatively lower quality of life than older survivors. While mobile apps have emerged as potential interventions, their effectiveness remains inconclusive due to the diversity in intervention types and variation in follow-up periods. Furthermore, there is a particular dearth of evidence regarding the efficacy of these apps’ intelligent features in addressing psychological distress with these apps. Objective: This study aims to evaluate the effectiveness of a mobile app with intelligent design called “AI-TA” on cancer-related psychological health and ongoing symptoms with a randomized controlled design. Methods: Women aged 18 to 45 years diagnosed with breast cancer were randomly assigned to the intervention or control group. The intervention was AI-TA, which included 2-way web-based follow-up every 2 weeks. Both intention-to-treat (ITT) and per-protocol (PP) analyses employed repeated measurement analysis of variance. The participants’ background features, primary outcomes (psychological distress and frequency, self-efficacy, and social support), and secondary outcomes (quality of life) were measured using multiple instruments at 3 time points (baseline, 1-month intervention, and 3-month intervention). Results: A total of 124 participants were randomly allocated to the control group (n=62, 50%) or intervention group (n=62, 50%). In total, 92.7% (115/124) of the participants completed the intervention. Significant improvements in psychological symptoms (Memorial Symptom Assessment Scale-Short Form) were observed in the ITT group from baseline to 1-month intervention relative to the control group (ITT vs control: 1.17 vs 1.23; P<.001), which persisted at 3-month follow-up (ITT vs control: 0.68 vs 0.91; P<.001). Both the ITT and PP groups exhibited greater improvements in self-efficacy (Cancer Behavior Inventory-Brief Version) than the control group at 1-month (ITT vs PP vs control: 82.83 vs 77.12 vs 65.35; P<.001) and 3-month intervention (ITT vs PP vs control: 92.83 vs 89.30 vs 85.65; P<.001). However, the change in social support (Social Support Rating Scale) did not increase significantly until 3-month intervention (ITT vs control: 50.09 vs 45.10; P=.002) (PP vs control: 49.78 vs 45.10; P<.001). All groups also experienced beneficial effects on quality of life (Functional Assessment of Cancer Therapy-Breast), which persisted at 3-month follow-up (P<.001). Conclusions: The intelligent mobile app AI-TA incorporating intelligent design shows promise for reducing psychological and cancer-related symptoms among young survivors of breast cancer. Trial Registration: Chinese Clinical Trial Registry ChiCTR2200058823; https://www.chictr.org.cn/showproj.html?proj=151195

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  • Pilot and randomized studies have demonstrated improvements in self-efficacy, quality of life, and patient activation with AI-supported survivorship tools.

    “Pilot and randomized studies have demonstrated improvements in self-efficacy, quality of life, and patient activation.35,36”

    From Artificial Intelligence in Oncology: Practical Applications Across Clinical Care, Scholarship, and Translation. (2026) · cites this paper as [36]

    The Discussion (Principal Findings; page not provided) reports improved self-efficacy and quality of life with AI-TA. It describes greater participation and initiative, but our copy does not report an improvement in patient activation as an outcome. It mentions a prior pilot study without establishing that the pilot demonstrated all three improvements. (LLM, conf=0.88)

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Research works printed but not linked: 4

  1. [12]12. Jiang L Wang X Hu Y Research of comprehensive needs of young breast cancer survivors based on user portrait Nurs J Chin People Liberation Army 2022 39 6 26 30 10.3969/j.issn.1008-9993.2022.06.007 · DOI
  2. [18]18. Xie YD Wang X Huang Y A comparative study of medical APP interface design based on emotional design principles Med Inform 2022 35 2 27 30 10.3969/j.issn.1006-1959.2022.02.007 · DOI
  3. [24]24. Jiang L Wang X Xu J Wu Y Hu Y Construction of an intelligent interactive nursing information support system and its application in young breast cancer survivors Chin J Nurs 2023 58 6 654 61 10.3761/j.issn.0254-1769.2023.06.002 · DOI
  4. [31]31. Wan C Zhang D Tang X Zhang W Li W Ren H He R Wang W Introduction on measurement scale of quality of life for patients with breast cancer: Chinese version of FACT-B China Cancer 2002 11 6 318 20 10.3969/j.issn.1004-0242.2002.06.004 · DOI

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Authors
Jiang, L., Xu, J., Wu, Y., Liu, Y., Wang, X., & Hu, Y.
Affiliations
Shanghai Jiao Tong University (CN)
Corresponding author
Hu, Yun
Venue
JMIR mHealth and uHealth
Published
2024-06-04
Volume
12
Pages
e50783
ISSN
2291-5222 (ISSN-L)
OpenAlex
W4396682976
Cited by
27
References
39
Citations by year
2026: 16 · 2025: 10 · 2024: 1
FWCI
4.59
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JMIR mhealth and uhealth (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
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, young women, mobile health apps, psychological distress, cancer symptoms, self-efficacy, social support, quality of life
MeSH terms
Cancer Survivors, Adolescent, Adult, Breast Neoplasms, Female, Humans, Middle Aged, Quality of Life, Surveys and Questionnaires, Self Efficacy, Mobile Applications

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