Cited by 61Digital Mental Health InterventionsCancer survivorship and careMobile Health and mHealth Applications

Preliminary results from a randomized controlled study for an App-Based cognitive behavioral therapy program for depression and anxiety in cancer patients

Open access
Ham, Kyunghee, Chin, Siyung, Suh, Yung Jae, Rhee, Myungah, Yu, Eun-Seung, Lee, Hyun Jeong, Kim, Jong-Heun, Kim, Sang Wun +2 more·2019·Frontiers in Psychology

Abstract

Cancer patients experience various psychological and social difficulties, the most common being depression and anxiety. The purpose of this study was to develop and evaluate the effectiveness of an app-based cognitive behavioral therapy program for depression and anxiety in cancer patients. For this purpose, 63 participants who met the inclusion criteria were randomly assigned to either a mobile-application-based cognitive behavioral therapy program (HARUToday), a simple information-provision mobile-application-based program (HARUCard), or a waitlist control group. Self-report questionnaires including the Beck Depression Inventory, State-Trait Anxiety Inventory, Health-Related Quality of Life Scale, Dysfunctional Attitude Scale, and two computer tasks including the dot-probe task and the Implicit Association Test, were administered before and after 66 days of intervention. The results showed that the Beck Depression Inventory and State-Trait Anxiety Inventory scores of the cognitive behavioral therapy program (HARUToday) group decreased significantly after the intervention compared to the attention control (HARUCard) and waitlist control groups. However, there were no significant changes in scores of the Health-Related Quality of Life Scale and Dysfunctional Attitude Scale, and the two computer tasks. Such results suggest that a mobile-application-based cognitive behavioral therapy program may be an effective intervention for alleviating depression and anxiety, but not the general quality of life of cancer patients. Taking into consideration that psychosocial problems may not the topmost priority for cancer patients who are facing a chronic and possibly mortal disease, a mobile-application cognitive behavioral therapy program may be a possible solution for the alleviation of depression and anxiety in cancer patients who have many restraints in terms of time and space.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fpsyg.2019.01592

Cites

88 of 88 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent scientific findings suggest significant effects on well-being in terms of distress, depression and anxiety, especially for web-based interventions that included CBT, ACT and MBSR.

    “Recent scientific findings extend their effectiveness by suggesting significant effects on well-being in terms of distress, depression and anxiety,11 16–20 especially for web-based interventions that included cognitive behavioural therapy (CBT) techniques, acceptance and commitment therapy (ACT) and mindfulness-based stress reduction (MBSR).”

    From Web-based mindfulness and skills-based distress reduction for patients with cancer: study protocol of the multicentre, randomised, controlled confirmatory intervention trial Reduct (2022) · cites this paper as [19]

    The Introduction reports significant decreases in depression and anxiety, and the Discussion > Implications says the app-based CBT program reduced both among cancer patients. The paper does not establish an effect on distress or test ACT or MBSR; its own intervention was app-based CBT, not a web-based intervention. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Previous research shows that web-based interventions to reduce psychological distress in patients with cancer including CBT, MBSR or ACT have been proven to be effective.

    “Previous research shows that web-based interventions to reduce psychological distress in patients with cancer including CBT, MBSR or ACT have been proven to be effective.”

    From Web-based mindfulness and skills-based distress reduction for patients with cancer: study protocol of the multicentre, randomised, controlled confirmatory intervention trial Reduct (2022) · cites this paper as [19]

    The Introduction reports that computer-based CBT programs for cancer patients have alleviated depression and anxiety, supporting the CBT portion of the claim. The paper does not report evidence that web-based MBSR or ACT interventions are effective for these patients; searches for those approaches found no relevant passage. Page numbers are unavailable in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Within these web-based interventions, different combinations such as CBT and MBSR, CBT and ACT or ACT and MBSR have been used.

    “Within these web-based interventions, different combinations such as CBT and MBSR, CBT and ACT or ACT and MBSR have been used.”

    From Web-based mindfulness and skills-based distress reduction for patients with cancer: study protocol of the multicentre, randomised, controlled confirmatory intervention trial Reduct (2022) · cites this paper as [19]

    The Introduction discusses computer-based CBT, and the Discussion describes technology-based CBT interventions, but neither passage addresses combinations of CBT, MBSR, and ACT. Searches for MBSR, ACT, and the named combinations found no passage supporting their use together in web-based interventions. No page numbers were available in our copy. (LLM, conf=0.76)

    Experimental — accuracy not yet measured
  • Our included studies covered several publications that were published after 2019 to reflect updated evidence.

    “First, our included studies covered several publications that were published after 2019 [32-34,38,44] to reflect updated evidence, which can support future development and use of app-based mHealth interventions for anxiety and depression.”

    From Effectiveness and Minimum Effective Dose of App-Based Mobile Health Interventions for Anxiety and Depression Symptom Reduction: Systematic Review and Meta-Analysis (2022) · cites this paper as [44]

    The paper’s Introduction describes its own app-based CBT study, while the supplied References passages list earlier work. No passage in our copy establishes which publications the citing authors included or that this paper was published after 2019 (searched for publication-date information). (LLM, conf=0.70)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Beck A. T. Steer R. A. Brown G. K. (1996). Manual for the Beck Depression Inventory-II, Vol. 1 San Antonio, TX: Psychological Corporation, 82.
  2. Spielberger C. D. Gorsuch R. E. Lushene R. E. (1970). The State-Trait Anxiety Inventory. Palo Alto. CA: Consulting Psychologists Press.
  3. Stott A. Neustaedter C. (2013). Analysis of Gamification in Education, Vol. 8 Burnaby, BC: Simon Fraser University, 36.
  4. Stubbins R. E. Cheng T. H. Yu X. Puppala M. Chen S. Alvarado M. V. Y. (2018). “ The use of a behavior-modification clinical solution application to improve breast cancer survivors’ accountability and health outcomes,” in Paper Presented at the 2017 San Antonio Breast Cancer Symposium, (San Antonio, TX: American Association for Cancer Research).

Cited by

Sorted by citations

Authors
Ham, K., Chin, S., Suh, Y. J., Rhee, M., Yu, E.-S., Lee, H. J., Kim, J.-H., Kim, S. W., Koh, S.-J., & Chung, K.-M.
Affiliations
  • Yonsei University (KR)
  • National Cancer Center (KR)
  • University of Ulsan (KR)
Corresponding author
Chung, Kyong-Mee
Venue
Frontiers in Psychology
Published
2019-07-25
Volume
10
Pages
1592-1592
ISSN
1664-1078 (ISSN-L)
OpenAlex
W2964311211
Cited by
61
References
88
Citations by year
2026: 3 · 2025: 14 · 2024: 13 · 2023: 10 · 2022: 10 · 2021: 5 · 2020: 5 · 2019: 1
FWCI
5.93
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
cancer patients, depression, anxiety, cognitive behavioral therapy, mobile health, smartphone-based intervention, psychosocial problems, health-related quality of life, dysfunctional attitudes, implicit bias, dot-probe task, Implicit Association Test

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review