针对多种癌症幸存者的Fitbit和应用程序干预的可用性和实施性考虑:混合方法研究研究
Zakery Dabbagh1, Reem Najjar1, Ariana Kamberi1
1Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA, 01655, United States, 1 (774) 455-3744.
JMIR cancer
|February 24, 2025
概括
使用Fitbit和智能手机应用程序的移动健康系统对于各种癌症幸存者来说是可行的. 这种方法可以帮助改善服务不足的人群的体育活动,为未来的试验铺平道路.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 癌症的生存率 癌症的生存率
- 促进体育活动 促进体育活动
背景情况:
- 癌症幸存者经常保持不够活跃,尽管已知的健康益处.
- 以前对幸存者的体力活动进行的数字健康试验存在局限性,包括专注于计步器和特定的人口统计数据 (例如,白人,受过教育的乳腺癌幸存者).
研究的目的:
- 在多样化的癌症幸存者群体中评估移动健康系统 (Fitbit活动跟踪器和MyDataHelps应用程序) 的可行性和可接受性.
- 为未来更大规模的临床试验完善干预.
主要方法:
- 通过电子健康记录,推或自我推识别的多种癌症幸存者.
- 参与者获得了Fitbit追踪器,并使用了MyDataHelps应用程序,在1个月和3个月后完成了可用性调查.
- 与参与者和临床医生进行了采访,以评估可接受性和临床整合.
主要成果:
- 这项研究招募了31名多元化的癌症幸存者 (种族,教育和收入不同).
- 参与者报告了MyDataHelps应用程序的积极可用性 (平均得分为3.79/5).
- 采访显示,虽然设置很容易,步数很有动力,但应用程序消息难以记住;临床医生希望有系统的数据集成.
结论:
- 使用移动健康系统进行远程传递,轻强度的体育活动计划对于各种癌症幸存者来说是可行的和可以接受的.
- 未来的研究应该探索基于注册表的方法和临床医生合作伙伴关系,以达到身体活动较低的服务不足的幸存者群体.
相关概念视频
Combination Therapies and Personalized Medicine
4.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.8K
Cancer Survival Analysis
320
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
320


