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一项针对英国公众对数字健康策略应对 COVID-19 的准备情况的全国性调查。

A national survey assessing public readiness for digital health strategies against COVID-19 within the United Kingdom.

机构信息

Department of Surgery and Cancer, Imperial College London, London, W2 1NY, UK.

Institute of Global Health Innovation, Imperial College London, 10th Floor, Queen Elizabeth Queen Mother building, St Mary's Hospital Campus, Praed Street, London, W2 1NY, UK.

出版信息

Sci Rep. 2021 Mar 16;11(1):5958. doi: 10.1038/s41598-021-85514-w.

DOI:10.1038/s41598-021-85514-w
PMID:33727655
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7966397/
Abstract

There is concern that digital public health initiatives used in the management of COVID-19 may marginalise certain population groups. There is an overlap between the demographics of groups at risk of digital exclusion (older, lower social grade, low educational attainment and ethnic minorities) and those who are vulnerable to poorer health outcomes from SARS-CoV-2. In this national survey study (n = 2040), we assessed how the UK population; particularly these overlapping groups, reported their preparedness for digital health strategies. We report, with respect to using digital information to make health decisions, that those over 60 are less comfortable (net comfort: 57%) than those between 18 and 39 (net comfort: 78%) and lower social grades are less comfortable (net comfort: 63%) than higher social grades (net comfort: 75%). With respect to a preference for digital over non-digital sources in seeking COVID-19 health information, those over 60 (net preference: 21%) are less inclined than those between 18 and 39 (net preference: 60%) and those of low educational attainment (net preference: 30%) are less inclined than those of high educational attainment (net preference: 52%). Lastly, with respect to distinguishing reliable digital COVID-19 information, lower social grades (net confidence: 55%) are less confident than higher social grades (net confidence: 68%) and those of low educational attainment (net confidence: 51%) are less confident than those of high educational attainment (net confidence: 71%). All reported differences are statistically significant (p < 0.01) following multivariate regression modelling. This study suggests that digital public health approaches to COVID-19 have the potential to marginalise groups who are concurrently at risk of digital exclusion and poor health outcomes from SARS-CoV-2.

摘要

人们担心用于管理 COVID-19 的数字公共卫生举措可能会使某些人群边缘化。面临数字排斥风险的群体(年龄较大、社会等级较低、教育程度较低和少数民族)与那些更容易因 SARS-CoV-2 而导致健康状况恶化的群体之间存在重叠。在这项全国性调查研究(n=2040)中,我们评估了英国人口;特别是这些重叠群体,他们对数字健康策略的准备情况。我们报告说,就使用数字信息做出健康决策而言,60 岁以上的人不如 18 至 39 岁的人(网络舒适度:78%)舒适,社会等级较低的人不如社会等级较高的人(网络舒适度:75%)舒适。就寻求 COVID-19 健康信息时对数字来源相对于非数字来源的偏好而言,60 岁以上的人(网络偏好:21%)不如 18 至 39 岁的人(网络偏好:60%)和教育程度较低的人(网络偏好:30%)不如教育程度较高的人(网络偏好:52%)。最后,就区分可靠的数字 COVID-19 信息而言,社会等级较低的人(网络信心:55%)不如社会等级较高的人(网络信心:68%)和教育程度较低的人(网络信心:51%)不如教育程度较高的人(网络信心:71%)。所有报告的差异在多变量回归模型后均具有统计学意义(p<0.01)。这项研究表明,针对 COVID-19 的数字公共卫生方法有可能使同时面临数字排斥风险和 SARS-CoV-2 不良健康后果的群体边缘化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d21e/7966397/4c90d032f333/41598_2021_85514_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d21e/7966397/476167a060c1/41598_2021_85514_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d21e/7966397/4c90d032f333/41598_2021_85514_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d21e/7966397/476167a060c1/41598_2021_85514_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d21e/7966397/4c90d032f333/41598_2021_85514_Fig2_HTML.jpg

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1
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Int J Med Inform. 2021 Jan;145:104322. doi: 10.1016/j.ijmedinf.2020.104322. Epub 2020 Nov 1.
2
Trends in the Use of Telehealth During the Emergence of the COVID-19 Pandemic - United States, January-March 2020.COVID-19 大流行期间远程医疗使用趋势 - 美国,2020 年 1 月至 3 月。
MMWR Morb Mortal Wkly Rep. 2020 Oct 30;69(43):1595-1599. doi: 10.15585/mmwr.mm6943a3.
3
Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries.
Centering Digital Health Equity During Technology Innovation: Protocol for a Comprehensive Scoping Review of Evidence-Based Tools and Approaches.
在技术创新中关注数字健康公平:基于循证工具和方法的综合范围综述议定书。
JMIR Res Protoc. 2024 Jun 5;13:e53855. doi: 10.2196/53855.
4
When concentrated disadvantage happens: Exploring the nexus of energy and internet insecurities among vulnerable households.当集中性劣势出现时:探寻弱势群体家庭中能源与网络不安全因素之间的联系。
iScience. 2024 May 3;27(6):109895. doi: 10.1016/j.isci.2024.109895. eCollection 2024 Jun 21.
5
Real-World Evidence Studies in Oncology Therapeutics: Hope or Hype?肿瘤治疗中的真实世界证据研究:希望还是炒作?
Indian J Surg Oncol. 2023 Dec;14(4):829-835. doi: 10.1007/s13193-023-01784-y. Epub 2023 Jun 21.
6
A Framework for Digital Health Policy: Insights from Virtual Primary Care Systems Across Five Nations.数字健康政策框架:来自五个国家虚拟初级保健系统的见解
PLOS Digit Health. 2023 Nov 8;2(11):e0000382. doi: 10.1371/journal.pdig.0000382. eCollection 2023 Nov.
7
Factors Associated with COVID-19 Testing, Vaccination, and Use of Digital Contact Tracing Apps among Black and Latinx MSM (BLMSM) in Los Angeles.洛杉矶黑人和拉丁裔男男性行为者 (BLMSM) 中与 COVID-19 检测、疫苗接种和使用数字接触者追踪应用相关的因素。
J Racial Ethn Health Disparities. 2024 Oct;11(5):2925-2934. doi: 10.1007/s40615-023-01750-y. Epub 2023 Aug 11.
8
Best practices in the real-world data life cycle.真实世界数据生命周期中的最佳实践。
PLOS Digit Health. 2022 Jan 18;1(1):e0000003. doi: 10.1371/journal.pdig.0000003. eCollection 2022 Jan.
9
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Nat Med. 2020 Dec;26(12):1919-1928. doi: 10.1038/s41591-020-1112-0. Epub 2020 Oct 14.
4
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5
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Lancet. 2020 Aug 15;396(10249):464-465. doi: 10.1016/S0140-6736(20)31690-1. Epub 2020 Aug 6.
6
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7
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BMJ. 2020 Jul 10;370:m2805. doi: 10.1136/bmj.m2805.
8
Crisis Communication and Public Perception of COVID-19 Risk in the Era of Social Media.社交媒体时代的新冠疫情危机沟通与公众对新冠风险的认知
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9
A Call for Addressing Barriers to Telemedicine: Health Disparities during the COVID-19 Pandemic.呼吁消除远程医疗障碍:新冠疫情期间的健康差异
Psychother Psychosom. 2021;90(1):64-66. doi: 10.1159/000509000. Epub 2020 Jun 4.
10
Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis.物理隔离、口罩和眼部防护预防 SARS-CoV-2 和 COVID-19 的人际传播:系统评价和荟萃分析。
Lancet. 2020 Jun 27;395(10242):1973-1987. doi: 10.1016/S0140-6736(20)31142-9. Epub 2020 Jun 1.