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2019年冠状病毒病大流行对数字健康技术使用中基于年龄的差异的影响:2017 - 2022年健康信息国家趋势调查的二次分析

The Effects of the COVID-19 Pandemic on Age-Based Disparities in Digital Health Technology Use: Secondary Analysis of the 2017-2022 Health Information National Trends Survey.

作者信息

Qiu Yuanbo, Huang Huang, Gai Junjie, De Leo Gianluca

机构信息

School of Journalism and Communication, South China University of Technology, Guanzhou, China.

Department of Health Management, Economics, and Policy, School of Public Health, Augusta University, Augusta, GA, United States.

出版信息

J Med Internet Res. 2024 Dec 4;26:e65541. doi: 10.2196/65541.

Abstract

BACKGROUND

The COVID-19 pandemic accelerated the adoption of digital health technology, but it could also impact age-based disparities as existing studies have pointed out. Compared with the pre-pandemic period, whether the rapid digitalization of the health care system during the pandemic widened the age-based disparities over a long period remains unclear.

OBJECTIVE

This study aimed to analyze the long-term effects of the COVID-19 pandemic on the multifaceted landscape of digital health technology used across diverse age groups among US citizens.

METHODS

We conducted the retrospective observational study using the 2017-2022 Health Information National Trends Survey to identify the influence of the COVID-19 pandemic on a wide range of digital health technology use outcomes across various age groups. The sample included 15,505 respondents, which were categorized into 3 age groups: adults (18-44 years), middle-aged adults (45-64 years), and older adults (more than 65 years). We also designated the time point of March 11, 2020, to divide the pre- and post-pandemic periods. Based on these categorizations, multivariate linear probability models were used to assess pre-post changes in digital health technology use, controlling for demographic, socioeconomic, and health-related variables among different age groups.

RESULTS

Essentially, older adults were found to be significantly less likely to use digital health technology compared with adults, with a 26.28% lower likelihood of using the internet for health information (P<.001) and a 32.63% lower likelihood of using health apps (P<.001). The usage of digital health technology for all age groups had significantly increased after the onset of the pandemic, and the age-based disparities became smaller in terms of using the internet to look for health information. However, the disparities have widened for older adults in using the internet to look up test results (11.21%, P<.001) and make appointments (10.03%, P=.006) and using wearable devices to track health (8.31%, P=.01).

CONCLUSIONS

Our study reveals a significant increase in the use of digital health technology among all age groups during the pandemic. However, while the disparities in accessing online information have narrowed, age-based disparities, particularly for older adults, have widened in most areas such as looking up test results and making appointments with doctors. Therefore, older adults are more likely left behind by the rapidly digitalized US health care system during the pandemic. Policy makers and health care providers should focus on addressing these disparities to ensure equitable access to digital health resources for US baby boomers.

摘要

背景

新冠疫情加速了数字健康技术的采用,但正如现有研究所指出的,它也可能影响基于年龄的差异。与疫情前时期相比,疫情期间医疗保健系统的快速数字化是否会在长期内扩大基于年龄的差异仍不清楚。

目的

本研究旨在分析新冠疫情对美国公民不同年龄组使用的数字健康技术多方面格局的长期影响。

方法

我们使用2017 - 2022年健康信息国家趋势调查进行回顾性观察研究,以确定新冠疫情对各年龄组广泛的数字健康技术使用结果的影响。样本包括15505名受访者,分为3个年龄组:成年人(18 - 44岁)、中年成年人(45 - 64岁)和老年人(65岁以上)。我们还指定2020年3月11日为时间点,划分疫情前和疫情后时期。基于这些分类,使用多元线性概率模型评估数字健康技术使用的前后变化,同时控制不同年龄组的人口统计学、社会经济和健康相关变量。

结果

本质上,与成年人相比,老年人使用数字健康技术的可能性显著更低,使用互联网获取健康信息的可能性低26.28%(P <.001),使用健康应用程序的可能性低32.63%(P <.001)。疫情爆发后,所有年龄组的数字健康技术使用都显著增加,在使用互联网查找健康信息方面基于年龄的差异变小。然而,在使用互联网查找检测结果(11.21%,P <.001)、预约(10.03%,P =.006)以及使用可穿戴设备跟踪健康状况(8.31%,P =.01)方面,老年人的差异有所扩大。

结论

我们的研究表明,疫情期间所有年龄组对数字健康技术的使用都显著增加。然而,虽然获取在线信息的差异有所缩小,但在查找检测结果和预约医生等大多数领域,基于年龄的差异,特别是老年人的差异有所扩大。因此,在疫情期间,美国快速数字化的医疗保健系统更有可能将老年人抛在后面。政策制定者和医疗保健提供者应专注于解决这些差异,以确保美国婴儿潮一代公平获取数字健康资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5062/11656112/756168b8e79d/jmir_v26i1e65541_fig1.jpg

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