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Mapping the Evidence on the Impact of mHealth Interventions on Patient-Reported Outcomes in Patients With Breast Cancer: A Systematic Review. | LitMetric

AI Article Synopsis

  • The study aimed to review and analyze existing research on mobile health (mHealth) interventions specifically for breast cancer patients by focusing on their effectiveness on patient-reported outcomes (PROs) and quality of life (QoL).
  • A total of 30 studies were reviewed, with 20 related to breast cancer, involving 5,691 cancer patients, where interventions included physical activity and self-management support, showing positive impact on various health outcomes.
  • The results were variable, indicating the need for more targeted research, especially for patients undergoing different types of systemic therapy, as many mHealth tools are not widely available to the public.

Article Abstract

Purpose: To comprehensively synthesize the existing evidence concerning mHealth interventions for patients with breast cancer (BC).

Design: On July 30, 2023, we searched PubMed, PsycINFO, and Google Scholar for articles using the following inclusion criteria: evaluation of mHealth interventions in patients with cancer, at least 30 participants with BC, randomized control trials or prospective pre-post studies, determinants of health (patient-reported outcomes [PROs] and quality of life [QoL]) as primary outcomes, interventions lasting at least 8 weeks, publication after January 2015. Publications were excluded if they evaluated telehealth or used web-based software for desktop devices only. The quality of the included studies was analyzed with the Cochrane Collaboration Risk of Bias Tool and the Methodological Index for Non-Randomized Studies.

Results: We included 30 studies (20 focused on BC), encompassing 5,691 patients with cancer (median 113, IQR, 135.5). Among these, 3,606 had BC (median 99, IQR, 75). All studies contained multiple interventions, including physical activity, tailored information for self-management of the disease, and symptom tracker. Interventions showed better results on self-efficacy (3/3), QoL (10/14), and physical activity (5/7). Lifestyle programs (3/3), expert consulting (4/4), and tailored information (10/11) yielded the best results. Apps with interactive support had a higher rate of positive findings, while interventions targeted to survivors showed worse results. mHealth tools were not available to the public in most of the studies (17/30).

Conclusion: mHealth interventions yielded heterogeneous results on different outcomes. Identifying lack of evidence on clinical scenarios (eg, patients undergoing systemic therapy other than chemotherapy) could aid in refining strategic planning for forthcoming research endeavors within this field.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11161246PMC
http://dx.doi.org/10.1200/CCI.24.00014DOI Listing

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