Digital Health Platforms for Breast Cancer Care: A Scoping Review.
Elayna P KirschSameer A KunteKevin A WuSamantha KaplanE Shelley HwangJennifer K PlichtaShivanand P LadPublished in: Journal of clinical medicine (2024)
Breast cancer is a significant global health concern affecting millions of women each year. Digital health platforms are an easily accessible intervention that can improve patient care, though their efficacy in breast cancer care is unknown. This scoping review aims to provide an overview of existing research on the utilization of digital health platforms for breast cancer care and identify key trends and gaps in the literature. A comprehensive literature search was conducted across electronic databases, including Ovid MEDLINE, Elsevier EMBASE, and Elsevier Scopus databases. The search strategy incorporated keywords related to "digital health platforms", "breast cancer care", and associated terminologies. After screening for eligibility, a total of 25 articles were included in this scoping review. The identified studies comprised mobile applications and web-based interventions. These platforms demonstrated various functionalities, including patient education, symptom monitoring, treatment adherence, and psychosocial support. The findings indicate the potential of digital health platforms in improving breast cancer care and patients' overall experiences. The positive impact on patient outcomes, including improved quality of life and reduced psychological distress, underscores the importance of incorporating digital health solutions into breast cancer management. Additional research is necessary to validate the effectiveness of these platforms in diverse patient populations and assess their impact on healthcare-resource utilization.
Keyphrases
- healthcare
- public health
- mental health
- health information
- systematic review
- randomized controlled trial
- global health
- health promotion
- human health
- newly diagnosed
- palliative care
- metabolic syndrome
- machine learning
- ejection fraction
- risk assessment
- physical activity
- case report
- deep learning
- polycystic ovary syndrome
- sleep quality
- weight loss
- case control