Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey.
Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey.
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DOI：
10.2196/22443
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发表时间：
2020-10-16
影响因子：
7.4
通讯作者：
Moustakas E
中科院分区：
文献类型：
--
作者：
Chandrasekaran R;Katthula V;Moustakas E
尽管可穿戴医疗设备（从Fitbit等健身追踪器到Apple Watch等智能手表，以及可以收集血压、血糖水平和氧气水平等指标信息的更复杂设备）越来越受欢迎，但我们对美国成年人实际使用情况和影响这些设备使用的关键因素的了解有限。本研究的主要目的是检查美国成年人可穿戴医疗保健设备的使用情况以及可穿戴设备使用的关键预测因素。通过对4551名受访者的全国性调查，我们研究了可穿戴医疗保健设备的使用模式（可穿戴设备的使用、使用频率以及与提供者共享可穿戴设备的健康数据的意愿）和一组与个人人口统计相关的预测因素（年龄、性别、种族、教育程度、婚姻状况和家庭收入）、个人健康（一般健康状况，慢性病的存在，体重感知，提供者访问的频率和对运动的态度），和技术自我效能，使用逻辑回归分析。大约30%（1266/4551）的美国成年人使用可穿戴医疗设备。在用户中，近一半（47.33%）每天使用这些设备，大多数（82.38%）愿意与他们的护理提供者分享可穿戴设备的健康数据。女性（16.25%）、白色人（19.74%）、18-50岁的成年人（19.52%）、具有一定程度大学教育或大学毕业生（25.60%）以及家庭年收入超过75，000美元的人（17.66%）最有可能报告使用可穿戴医疗设备。我们发现，可穿戴设备的使用随着年龄的增长而下降：与18-34岁的人相比，50岁以上的成年人使用可穿戴设备的可能性较小（比值比[OR] 0.46-0.57）。妇女（OR 1.26，95% CI 0.96-1.65），白色个体（OR 1.65，95%CI 0.97-2.79），大学毕业生（OR 1.05，95% CI 0.31-3.51），家庭年收入超过75，000美元（OR 2.6，95% CI 1.39-4.86）的人更有可能使用可穿戴设备。报告感觉更健康的美国成年人（OR 1.17，95%CI 0.98-1.39），超重（OR 1.16，95%CI 1.06-1.27），喜欢锻炼（OR 1.23，95%CI 1.06-1.43），并报告了更高水平的技术自我效能感（OR 1.33，95% CI 1.21-1.46）更有可能采用和使用可穿戴设备来跟踪或监测他们的健康状况。可穿戴医疗设备的潜力尚未得到充分发挥，只有不到三分之一的美国成年人积极使用这些设备。只有更年轻、更健康、更富有、受教育程度更高、技术更成熟的成年人使用可穿戴设备，其他群体则被抛在后面。临床医生、设备制造商和医疗保健政策制定者需要更加集中的努力来弥合这一鸿沟，并改善美国社会更大部分人对可穿戴设备的使用。
Despite the growing popularity of wearable health care devices (from fitness trackes such as Fitbit to smartwatches such as Apple Watch and more sophisticated devices that can collect information on metrics such as blood pressure, glucose levels, and oxygen levels), we have a limited understanding about the actual use and key factors affecting the use of these devices by US adults. The main objective of this study was to examine the use of wearable health care devices and the key predictors of wearable use by US adults. Using a national survey of 4551 respondents, we examined the usage patterns of wearable health care devices (use of wearables, frequency of their use, and willingness to share health data from a wearable with a provider) and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status, and household income), individual health (general health, presence of chronic conditions, weight perceptions, frequency of provider visits, and attitude towards exercise), and technology self-efficacy using logistic regression analysis. About 30% (1266/4551) of US adults use wearable health care devices. Among the users, nearly half (47.33%) use the devices every day, with a majority (82.38% weighted) willing to share the health data from wearables with their care providers. Women (16.25%), White individuals (19.74%), adults aged 18-50 years (19.52%), those with some level of college education or college graduates (25.60%), and those with annual household incomes greater than US $75,000 (17.66%) were most likely to report using wearable health care devices. We found that the use of wearables declines with age: Adults aged >50 years were less likely to use wearables compared to those aged 18-34 years (odds ratios [OR] 0.46-0.57). Women (OR 1.26, 95% CI 0.96-1.65), White individuals (OR 1.65, 95% CI 0.97-2.79), college graduates (OR 1.05, 95% CI 0.31-3.51), and those with annual household incomes greater than US $75,000 (OR 2.6, 95% CI 1.39-4.86) were more likely to use wearables. US adults who reported feeling healthier (OR 1.17, 95% CI 0.98-1.39), were overweight (OR 1.16, 95% CI 1.06-1.27), enjoyed exercise (OR 1.23, 95% CI 1.06-1.43), and reported higher levels of technology self-efficacy (OR 1.33, 95% CI 1.21-1.46) were more likely to adopt and use wearables for tracking or monitoring their health. The potential of wearable health care devices is under-realized, with less than one-third of US adults actively using these devices. With only younger, healthier, wealthier, more educated, technoliterate adults using wearables, other groups have been left behind. More concentrated efforts by clinicians, device makers, and health care policy makers are needed to bridge this divide and improve the use of wearable devices among larger sections of American society.
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