Digital Health for Patients With Multiple Myeloma: An Unmet Need

医学 远程医疗 生活质量(医疗保健) 医疗保健 数字健康 耐受性 临床试验 疾病 远程医疗 大流行 家庭医学 重症监护医学 不利影响 2019年冠状病毒病(COVID-19) 护理部 内科学 传染病(医学专业) 经济增长 经济
作者
Sundar Jagannath,Joseph Mıkhael,Omar Nadeem,Noopur Raje
出处
期刊:JCO clinical cancer informatics [Lippincott Williams & Wilkins]
卷期号:5 (5): 1096-1105 被引量:21
标识
DOI:10.1200/cci.20.00145
摘要

Multiple myeloma (MM) is associated with the highest symptom burden and lowest health-related quality of life (HRQoL) among patients with hematologic malignancies. HRQoL in MM is heterogeneous, varying over the course of disease, with the highest burden at diagnosis and relapse. Patients with MM are increasingly being treated with oral maintenance medications at home. As a result, longitudinal monitoring of medication adherence and patient-reported outcomes, including HRQoL, could inform on disease status, therapeutic tolerability, and satisfaction with care. Digital health technologies, including telemedicine, mobile health, and wearable devices, are poised to become an integral part of modern health care, in part due to the surge in telemedicine necessitated by the COVID-19 pandemic. Although the literature has many reports on the use of digital health technologies in other types of cancers, fewer studies report on their application to MM. In the current narrative review, we survey the applications of digital health for MM. Although there is evidence that some are associated with improved health outcomes, challenges exist that must be met to ensure more widespread adoption. These include the need for increased awareness by patients and health care providers, lack of access by the typical older patient with MM, absence of randomized clinical trials, and low integration with current workflows such as electronic health records. Following our summary of technologies that could benefit patients with MM, we end by describing our vision for how they can be integrated into each phase of the patient journey.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
2秒前
远_09完成签到 ,获得积分10
2秒前
萂昕完成签到 ,获得积分10
3秒前
刘鑫慧完成签到 ,获得积分10
3秒前
cxy完成签到,获得积分10
3秒前
jiang完成签到,获得积分10
3秒前
galioo3000完成签到,获得积分10
5秒前
5秒前
吃饱再睡完成签到 ,获得积分10
5秒前
xiejuan完成签到,获得积分0
6秒前
6秒前
深情安青应助hj123采纳,获得10
7秒前
111完成签到 ,获得积分10
8秒前
lala完成签到,获得积分10
8秒前
Mic举报cc求助涉嫌违规
8秒前
10秒前
ZQ完成签到 ,获得积分10
11秒前
高天雨完成签到 ,获得积分10
11秒前
jouholly完成签到,获得积分10
11秒前
dingyang41完成签到,获得积分10
11秒前
精明寒松完成签到 ,获得积分10
11秒前
pear完成签到,获得积分10
12秒前
liu完成签到 ,获得积分10
13秒前
flymove完成签到,获得积分10
13秒前
asdfqwer完成签到,获得积分0
14秒前
550255完成签到,获得积分10
16秒前
16秒前
Alex完成签到,获得积分10
17秒前
Karvs完成签到,获得积分10
17秒前
赵小胖完成签到 ,获得积分10
18秒前
18秒前
博士完成签到 ,获得积分10
18秒前
Jasper应助Echoheart采纳,获得10
20秒前
20秒前
刘丰铭完成签到,获得积分10
21秒前
21秒前
cugwzr完成签到,获得积分10
21秒前
22秒前
SciGPT应助pete采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6389519
求助须知:如何正确求助?哪些是违规求助? 8204517
关于积分的说明 17359586
捐赠科研通 5443204
什么是DOI,文献DOI怎么找? 2878206
邀请新用户注册赠送积分活动 1854461
关于科研通互助平台的介绍 1698100