Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39799, first published .
Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Authors of this article:

Minghui Qin1, 2 Author Orcid Image ;   Bo Chen2 Author Orcid Image ;   Shaohua Sun3 Author Orcid Image ;   Xiaodong Liu4 Author Orcid Image

Journals

  1. Dong X, Yu J, Nie L, Wu Y, Lu Y, Qin Y, Jin Y, Chen Y, Gu C, Gan L, Zhang N. Information Support Provided by Specialized Nurses via Mobile Healthcare App May Improve Treatment Adherence of Breast Cancer Patients: An Observational Study. Seminars in Oncology Nursing 2023;39(6):151511 View
  2. Springer F, Maier A, Friedrich M, Raue J, Finke G, Lordick F, Montgomery G, Esser P, Brock H, Mehnert-Theuerkauf A. Digital Therapeutic (Mika) Targeting Distress in Patients With Cancer: Results From a Nationwide Waitlist Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e51949 View
  3. Zhang X, Ma L, Sun D, Yi M, Wang Z. Artificial Intelligence in Telemedicine: A Global Perspective Visualization Analysis. Telemedicine and e-Health 2024;30(7):e1909 View
  4. Banire B, Orr M, Burns H, McGowan Y, Orji R, Meier S. Smartphone-Delivered Attentional Bias Modification Training for Mental Health: Systematic Review and Meta-Analysis. JMIR Mental Health 2024;11:e56326 View
  5. Yan Y, López-Alcalde J, Stallings E, Jimenez Tejero E, Witt C, Barth J, Demsash A. Patient motivation as a predictor of digital health intervention effects: A meta-epidemiological study of cancer trials. PLOS ONE 2024;19(7):e0306772 View
  6. Li X, Wu X, Chen C, Chao H, Xie J, Du Q, Zhang M. A randomized controlled trial of a self-led, virtual reality-based cognitive behavioral therapy on sick role adaptation in colorectal cancer patients: study protocol. BMC Cancer 2024;24(1) View
  7. Sin C, Lee D, Kim H, Im H, Koh S, Kang D. Effectiveness of self-reported management program of cancer patients. DIGITAL HEALTH 2024;10 View
  8. Luo Y, Stice B, Lenz A. Mental health apps for depression: A meta‐analysis. Journal of Counseling & Development 2025;103(1):25 View
  9. Doosti P, Etemadifar S, Aliakbari F. The impact of a continuous care model utilizing a smartphone application on quality of life and anxiety levels among gynecologic cancer patients: a randomized controlled trial. BMC Nursing 2024;23(1) View
  10. Heinrich R, Schilling G, Wojtyna E, Arnold D, Geisler M, Kley S, Grudzinski P, Księżak M, Schoenfelder T. Effects of Mobile Application‐Based Cognitive Behavioral Therapy on Psychological Outcomes in Women Treated for Breast Cancer: A Randomized Controlled Pilot Trial in Germany. Psycho-Oncology 2024;33(10) View
  11. Rigg A, Kemp E, Koczwara B, Butow P, Girgis A, Hulbert-Williams N, Kaambwa B, Long R, Schofield P, Turner J, Yip D, Combes R, Beatty L. Feasibility, acceptability, and preliminary efficacy of a self-directed online psychosocial intervention for women with metastatic breast cancer: Finding My Way-Advanced. Supportive Care in Cancer 2024;32(11) View
  12. Bak S, Uhm J. A Nurse-Led App-Based Home Exercise Program After Total Knee Arthroplasty. Rehabilitation Nursing Journal 2024;49(4):103 View
  13. Zhang T, Ren Z, Wakefield C, Hui B, Akechi T, Shi C, Du X, Chen W, Lai L, Zhao C, Li Y, Zhou Y. Are digital psychological interventions for psychological distress and quality of life in cancer patients effective? A systematic review and network meta-analysis. Clinical Psychology Review 2025;115:102520 View
  14. Lally P, May C, Mitchell E, McCallum M, Michaelides A, Fisher A. Prototype of an App Designed to Support Self-Management for Health Behaviors and Weight in Women Living With Breast Cancer: Qualitative User Experience Study. JMIR Cancer 2024;10:e48170 View
  15. Pacheco R, da Silva M, Bines J. Delphi technique for design and content validation by experts of a mobile app for self-care of breast cancer-related lymphedema. Journal of Cancer Survivorship 2024 View
  16. Frey A, Phillips B, Baines R, McCabe A, Elmes E, Yeardsley-Pierce E, Wall R, Parry J, Vose A, Hewitt J, Coburn J, Dowdle C, Sollitt L, Leahy M, Hunt S, Andrews T, Leigh S. Domain coverage and criteria overlap across digital health technology quality assessments: a systematic review. Health and Technology 2025;15(1):15 View
  17. Zhang X, Sun S, Jiangenuer L, Zhao P, Lei H, Xu Z, Wang Z. Effect of mobile health (mHealth) on improving anxiety, depression and quality of life in cancer patients: A systematic review and meta -analysis. Journal of Affective Disorders 2025;374:11 View
  18. Zhong C, Luo X, Tan M, Chi J, Guo B, Tang J, Guo Z, Deng S, Zhang Y, Wu Y. Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review. Journal of Medical Internet Research 2025;27:e69621 View
  19. Kanai M, Miki T, Sakoda T, Hagiwara Y. The Effect of Combining mHealth and Health Professional–Led Intervention for Improving Health-Related Outcomes in Chronic Diseases: Systematic Review and Meta-Analysis. Interactive Journal of Medical Research 2025;14:e55835 View
  20. Kim S, Kim D, Jang Y, Kim M, Yu E, Han D, Kim H. Efficacy of a Mobile App for Assisting in the Self-management of Patients with Breast Cancer on Self-efficacy: A Non-randomized Intervention Trial (Preprint). JMIR mHealth and uHealth 2024 View
  21. Li L, Zhu C, Yan Q, Li J, Chen Y, Hu X. Effectiveness of Dyadic Interventions on Quality of Life for Cancer Patients and Family Caregivers: A Systematic Review and Meta‐Analysis of Randomised Controlled Trials. Journal of Clinical Nursing 2025 View
  22. Frey A, Leigh S, Toro C, Pratdepàdua Bufill C, McCay C, Prenđa Trupec T, D'Avenio G, Kok M, Montvila A, Goedecker P, Hoogendoorn P. Preferences and Willingness to Pay for Health App Assessments Among Health Care Stakeholders: Discrete Choice Experiment. JMIR mHealth and uHealth 2025;13:e57474 View
  23. Pelucio L, Quagliato L, Cardoso A, Horato N, Nardi A. Could the use of web-based applications assist in neuropsychiatric treatment? An umbrella review. BMC Psychology 2025;13(1) View
  24. Bonotis P, Angelidis P, Natsiavas P. Usability and User Experience Testing of a Co-Designed Electronic Patient-Reported Outcomes App (“MyPal for Adults”) for Palliative Cancer Care: Mixed Methods Study. JMIR Human Factors 2025;12:e57342 View
  25. Mohammad Hussin N, Nik Jaafar N, Idris I, Mohammed Nawi A, Cilar Budler L. Evaluating the effects of e-health interventions on mental health outcomes in individuals with breast cancer: A systematic review. PLOS One 2025;20(5):e0321495 View
  26. Barth J, Schläpfer S, Schneider F, Santhanam P, Kowatsch T, Heinz P, Held U, Eicher M, Witt C. Mobile health intervention CanRelax reduces distress in people with cancer in a randomized controlled trial. npj Digital Medicine 2025;8(1) View
  27. Jacobs J, Traeger L, Freese M, Barata A, Newcomb R, Rabideau D, Horick N, DeFilipp Z, Chen Y, Gray T, Pepper J, Caruso E, Amonoo H, Lee S, Greer J, Temel J, El-Jawahri A. BMT-CARE App: A Randomized Controlled Trial of a Psychosocial Digital Application for Caregivers of Patients Undergoing Hematopoietic Stem-Cell Transplantation. Journal of Clinical Oncology 2025 View
  28. Yu D, Xu Y, Wang Y, Ren C, Ge S, Li M, Tang X. Effectiveness of Health Management Services Using the Mobile Health Platform “Aged Smart-Care” for Community-Dwelling Older Adults: A Randomized Controlled Trial. Research in Gerontological Nursing 2025:1 View

Conference Proceedings

  1. Shailaja N, TamilSelvan S. INNOVATIONS IN THERMAL, MANUFACTURING, STRUCTURAL AND ENVIRONMENTAL ENGINEERING: ICITMSEE’24. Forecasting the fuel consumption using enhanced XGBoost algorithm in comparison with artificial neural network algorithm View