Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data.

Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data.
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DOI:
10.2196/33188
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发表时间:
2022-01-24
影响因子:
7.4
通讯作者:
Farris K
Farris K
中科院分区:
医学2区
文献类型:
--
作者:
Eze CE;West BT;Dorsch MP;Coe AB;Lester CA;Buis LR;Farris K

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不加控制的高血压会导致严重的发病率和死亡率。使用智能手机等移动医疗技术进行远程血压监测,改善了对血压的控制。当患者可以通过技术与他们的医疗保健提供者远程沟通并接收反馈时,BP控制的增加更为显著。对高血压人群中远程血压监测的预测因素知之甚少。这项研究的目的是量化在美国高血压患者中使用智能手机和平板电脑实现健康目标以及通过短信与医疗保健提供者沟通的预测因素。这项研究是对2017年和2018年健康信息国家趋势调查5周期1和2数据的横断面二次分析。共有3045名受访者对“医生或其他医疗保健提供者是否曾告诉过你患有高血压或高血压?”这一问题回答“是”,这一问题定义了本研究中使用的亚群。我们应用卫生信息全国趋势调查的全样本权重来计算人口估计,并使用50个重复权重来计算估计的SE。在相关调查项目的基础上,我们使用设计调整的描述性统计方法来描述高血压患者的特征。设计调整的多变量Logistic回归模型被用来估计在过去12个月内使用智能手机或平板电脑以及向医疗保健提供者发送或从其接收短信的情况下实现健康目标的预测因素。据估计,美国加权成年人口中有36.9%,0.9%(183,285,150/497,278,883)患有高血压。高血压人群的平均年龄为58.3(SE 0.48)岁。通过电子邮件或互联网与医生或医生办公室进行电子交流(优势比2.93,95%可信区间1.85-4.63;P<.001)和拥有健康应用程序(优势比1.82,95%可信区间1.16-2.86;P=0.02)是与医疗保健专业人员使用短信交流的显著预测因素,并调整了其他人口统计学和技术相关变量。随着年龄的增长(P<.001)和拥有普通手机(P=0.04),借助平板电脑或智能手机实现健康相关目标的几率显著下降。然而,女性(P=.045)或已婚(P=.03)、拥有健康应用程序(P<.001)、使用智能手机或平板电脑以外的其他设备监测健康(P=.008)、做出健康治疗决定(P=.048)以及借助平板电脑或智能手机与提供者讨论(P=.02),这些因素都会显著增加。需要考虑年龄、性别、婚姻状况和患者与科技相关的健康行为的干预措施,以增加智能手机和平板电脑在自我护理和与医疗保健提供者的短信交流中的使用。
Uncontrolled hypertension leads to significant morbidity and mortality. The use of mobile health technology, such as smartphones, for remote blood pressure (BP) monitoring has improved BP control. An increase in BP control is more significant when patients can remotely communicate with their health care providers through technologies and receive feedback. Little is known about the predictors of remote BP monitoring among hypertensive populations. The objective of this study is to quantify the predictors of smartphone and tablet use in achieving health goals and communicating with health care providers via SMS text messaging among hypertensive patients in the United States. This study was a cross-sectional, secondary analysis of the 2017 and 2018 Health Information National Trends Survey 5, cycles 1 and 2 data. A total of 3045 respondents answered “Yes” to the question “Has a doctor or other healthcare provider ever told you that you had high blood pressure or hypertension?”, which defined the subpopulation used in this study. We applied the Health Information National Trends Survey full sample weight to calculate the population estimates and 50 replicate weights to calculate the SEs of the estimates. We used design-adjusted descriptive statistics to describe the characteristics of respondents who are hypertensive based on relevant survey items. Design-adjusted multivariable logistic regression models were fitted to estimate predictors of achieving health goals with the help of smartphone or tablet and sending or receiving an SMS text message to or from a health care provider in the last 12 months. An estimated 36.9%, SE 0.9% (183,285,150/497,278,883) of the weighted adult population in the United States had hypertension. The mean age of the hypertensive population was 58.3 (SE 0.48) years. Electronic communication with the doctor or doctor’s office through email or internet (odds ratio 2.93, 95% CI 1.85-4.63; P<.001) and having a wellness app (odds ratio 1.82, 95% CI 1.16-2.86; P=.02) were significant predictors of using SMS text message communication with a health care professional, adjusting for other demographic and technology-related variables. The odds of achieving health-related goals with the help of a tablet or smartphone declined significantly with older age (P<.001) and ownership of basic cellphones (P=.04). However, they increased significantly with being a woman (P=.045) or with being married (P=.03), having a wellness app (P<.001), using devices other than smartphones or tablets to monitor health (P=.008), making health treatment decisions (P=.048), and discussing with a provider (P=.02) with the help of a tablet or smartphone. Intervention measures accounting for age, gender, marital status, and the patient’s technology-related health behaviors are required to increase smartphone and tablet use in self-care and SMS text message communication with health care providers.
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