UNASSIGNED: Using a national survey of 933 CVD patients, we assess use of wearable healthcare devices (use, frequency of use and willingness to share health data from wearable with a provider), and a set of socio-demographic factors (age, gender, race, education and household income), health-related variables (general health, presence of comorbid conditions: diabetes and high blood pressure, attitude towards exercise) and technology self-efficacy using logistic regression.
UNASSIGNED: Of the 933 CVD patients, 18.34% reported using a healthcare wearable device in the prior 12 months. Of those, 41.92% indicated using it every day and another 19.76% indicated using it \'almost every day\'. 83.54% of wearable users indicated their willingness to share health data with their healthcare providers. Female CVD patients are more likely to use wearables compared to men (odds ratio (OR) = 1.65, 95% confidence interval (CI) = 1.04-2.63). The odds decrease with age, and are significantly high in patients with higher income levels. In comparison with non-Hispanic White, Hispanic (OR = 0.14, 95% CI = 0.03-0.70) and African Americans (OR = 0.17, 95% CI = 0.04-0.86) are less likely to use healthcare wearables. CVD patients who perceive their general health to be better (OR = 1.45, 95% CI = 1.11-1.89) and those who enjoy exercising (OR = 1.76, 95% CI = 1.22-2.55) are more likely to use wearables. CVD patients who use the internet for searching for medical information (OR = 2.10, 95% CI = 1.17-3.77) and those who use electronic means to make appointments with their providers (OR = 2.35, 95% CI = 1.48-3.74) are more inclined to use wearables.
UNASSIGNED: Addressing low wearable device usage among CVD patients requires targeted policy interventions to ensure equitable access. Variations in gender, age, race/ethnicity, and income levels emphasize the need for tailored strategies. Technological self-efficacy, positive health perceptions, and exercise enjoyment play significant roles in promoting wearable use. These insights should guide healthcare leaders in designing effective strategies for integrating wearables into cardiovascular care.
■使用对933名CVD患者的全国调查,我们评估可穿戴医疗设备的使用(使用,使用频率和与提供商共享来自可穿戴设备的健康数据的意愿),和一系列社会人口因素(年龄,性别,种族,教育和家庭收入),与健康相关的变量(一般健康状况,共病的存在:糖尿病和高血压,对运动的态度)和使用逻辑回归的技术自我效能感。
■在933名CVD患者中,18.34%的人报告在过去的12个月中使用了医疗保健可穿戴设备。其中,41.92%表示每天都在使用它,另有19.76%表示几乎每天都在使用它。83.54%的可穿戴用户表示他们愿意与医疗保健提供商共享健康数据。与男性相比,女性CVD患者更有可能使用可穿戴设备(比值比(OR)=1.65,95%置信区间(CI)=1.04-2.63)。几率随着年龄的增长而降低,并且在收入水平较高的患者中明显较高。与非西班牙裔白人相比,西班牙裔(OR=0.14,95%CI=0.03-0.70)和非裔美国人(OR=0.17,95%CI=0.04-0.86)不太可能使用医疗可穿戴设备。认为自己的总体健康状况更好(OR=1.45,95%CI=1.11-1.89)和喜欢运动(OR=1.76,95%CI=1.22-2.55)的CVD患者更有可能使用可穿戴设备。使用互联网搜索医疗信息(OR=2.10,95%CI=1.17-3.77)和使用电子手段与提供者预约(OR=2.35,95%CI=1.48-3.74)的CVD患者更倾向于使用可穿戴设备。
■解决心血管疾病患者使用低穿戴设备的问题需要有针对性的政策干预措施,以确保公平使用。性别差异,年龄,种族/民族,收入水平强调需要量身定制的策略。技术自我效能感,积极的健康观念,和运动享受在促进可穿戴使用方面发挥着重要作用。这些见解应指导医疗保健领导者设计将可穿戴设备集成到心血管护理中的有效策略。