Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review

被引:2
|
作者
Flaucher, Madeleine [1 ,3 ]
Zakreuskaya, Anastasiya [1 ]
Nissen, Michael [1 ]
Mocker, Alexander [2 ]
Fasching, Peter A. [2 ]
Beckmann, Matthias W. [2 ]
Eskofier, Bjoern M. [1 ]
Leutheuser, Heike [1 ]
机构
[1] Friedrich Alexander Univ Erlangen Nurnberg, Dept Artificial Intelligence Biomed Engn AIBE, Machine Learning & Data Analyt Lab, Erlangen, Germany
[2] Friedrich Alexander Univ Erlangen Nurnberg, Erlangen Univ Hosp, Dept Gynecol & Obstet, Erlangen, Germany
[3] Friedrich Alexander Univ Erlangen Nurnberg, Machine Learning & Data Analyt Lab, Carl Thiersch Str 2b, D-91052 Erlangen, Germany
来源
ONCOLOGIST | 2023年 / 28卷 / 10期
关键词
digital health; mHealth; patient-reported outcome measures; wearable sensors; oncology; QUALITY-OF-LIFE; SELF-EFFICACY SCALE; EUROPEAN-ORGANIZATION; FUNCTIONAL ASSESSMENT; VALIDATION; THERAPY; SUPPORT; INSTRUMENT; VALIDITY; OUTCOMES;
D O I
10.1093/oncolo/oyad217
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Breast cancer is affecting millions of people worldwide. If not appropriately handled, the side effects of different modalities of cancer treatment can negatively impact patients' quality of life and cause treatment interruptions. In recent years, mobile health (mHealth) interventions have shown promising opportunities to support breast cancer care. Numerous studies implemented mobile health interventions aiming to support patients with breast cancer, for example, through physical activity promotion or educational content. Nonetheless, current literature reveals that real-world evidence for the actual benefits remains unclear. In this systematic review, we focus on analyzing the methodology used in recent studies to determine the effects of mHealth applications and wearable devices on the outcome of patients with breast cancer. We followed the PRISMA guideline for the selection, analysis, and reporting of relevant studies found in the databases of Medline, Scopus, Web of Science, and Cochrane Library. A total of 276 unique records were identified, and 20 studies met the inclusion criteria. Study quality was assessed with the Effective Public Health Practice Project (EPHPP) Quality Assessment Tool for Quantitative Studies. While many of the studies used standardized questionnaires as patient-reported outcome measures, there was minimal use of objective measurements, such as activity sensors. Adoption, drop-out rates, and usage behavior of users of the mobile health intervention were often not reported. Future work should clearly define the focus and desired outcome of mHealth interventions and select outcome measures accordingly. Greater transparency facilitates the interpretation of results and conclusions about the real-world evidence of mobile health in breast cancer care. Mobile health (mHealth) interventions have shown promising opportunities to support breast cancer care. This review analyzes methodologies used in recent studies to determine the effects of mHealth applications and wearable devices on outcomes for patients with breast cancer.
引用
收藏
页码:e847 / e858
页数:12
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