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

Author:

Frid Santiago1ORCID,Amat-Fernández Clara2ORCID,Fuentes-Expósito María Ángeles3ORCID,Muñoz-Mateu Montserrat4ORCID,Valachis Antonis5ORCID,Sisó-Almirall Antoni6ORCID,Grau-Corral Immaculada37ORCID

Affiliation:

1. Clinical Informatics Service, Hospital Clínic de Barcelona, Barcelona, Spain

2. Health Services Research Group, Hospital del Mar Research Institute, Barcelona, Spain

3. Fundación iSYS, Barcelona, Spain

4. Oncology Service, Hospital Clínic de Barcelona, Barcelona, Spain

5. Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden

6. Department of Medicine, Universitat de Barcelona, Barcelona, Spain

7. mHealth and digital Health Observatory, Hospital Clínic de Barcelona, Barcelona, Spain

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.

Publisher

American Society of Clinical Oncology (ASCO)

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