Consumer Views on Using Digital Data for COVID-19 Control in the United States.
Consumer Views on Using Digital Data for COVID-19 Control in the United States.
复制标题
DOI：
10.1001/jamanetworkopen.2021.10918
复制
发表时间：
2021-05-03
影响因子：
13.8
通讯作者：
Cannuscio C
中科院分区：
文献类型：
--
作者：
Grande D;Mitra N;Marti XL;Merchant R;Asch D;Dolan A;Sharma M;Cannuscio C
这项横断面调查研究评估了美国成年人认为可以接受的使用消费者数字信息来控制 COVID-19 的情况，以及与使用该信息的批准率较高或较低相关的因素。美国成年人最能接受消费者数字信息在 COVID-19 控制中的哪些用途，以及哪些因素与使用此信息的批准率较高或较低相关？在这项针对 6284 名美国成年人的横断面调查研究中，对于将消费者数字数据用于病例识别、数字接触者追踪、政策制定和执行隔离等活动的认可度普遍较低。政治意识形态和种族/族裔与是否批准使用数字数据的场景相关，而当地的 COVID-19 发病率和家庭感染 COVID 的经历则不然。研究结果表明，在当前和未来的流行病中，公共卫生部门应使用多种策略来赢得公众信任并加速采用数字接触者追踪应用程序等工具。遏制 COVID-19 传播是当前全球最大的公共卫生挑战。用于收集数据的消费者数字工具（例如 Apple-Google 数字接触者追踪计划）提供了减少 COVID-19 传播的机会，但也带来了隐私问题。评估美国成年人认为可以接受的用于控制 COVID-19 的消费者数字信息的使用，以及与使用此信息的较高或较低批准度相关的因素。这项横断面调查研究从 2020 年 7 月通过电子邮件从基于网络的 Ipsos KnowledgePanel 招募的 6284 名美国成年人的全国代表性样本中获取了数据。受访者评估了反映数字数据在 COVID-19 控制中的使用情况（病例识别、数字接触者追踪、政策制定和隔离执行）。在 9 种情况下使用个人数字数据来减轻 COVID-19 感染传播的支持级别，按李克特量表评分，范围从 1（强烈不同意）到 5（强烈同意）。针对每种情况拟合了多变量线性回归模型，其中包括假设与有关数字数据用于 COVID-19 缓解措施的观点相关的因素。黑人和西班牙裔调查受访者被过度抽样；因此，使用了分层后权重，以便结果能够代表美国一般人口。在受邀参与这项研究的 6284 人中，有 3547 人做出回应，完成率为 56%。共有 1762 名参与者（52%）为女性，715 名（21%）为黑人，790 名（23%）为西班牙裔，1224 名（36%）为 60 岁或以上；平均 (SD) 年龄为 51.7 (16.6) 岁。对情景的认可度较低，范围为 28% 至 43%（如果包括中立反应则为 52%-67%）。基于数字数据源发现差异（智能手机与社交媒体：系数，0.29 [95% CI，0.23-0.35]；P < .001；智能温度计与社交媒体：系数，0.09 [95% CI，0.03-0.16]；P = .004）。县 COVID-19 比率（第四四分位数与第一四分位数相比，系数，-0.02；95% CI，-0.16 至 0.13）和既往家庭诊断的 COVID-19（系数，0.00；95% CI，-0.25 至 0.25）与支持无关。与自称自由派的个体相比，保守派（系数，-0.81；95% CI，-0.96至-0.66；P < .001）和温和派（系数，-0.52；95% CI，-0.67至-0.38；P < .001）个体不太可能支持这些情景。同样，在支持苹果-谷歌数字接触者追踪计划方面也观察到了巨大的政治差异，与自由派个人相比，保守派（系数，-0.99；95% CI，-1.11至-0.87；P < .001）和温和派（系数，-0.59；95% CI，-0.69至-0.48；P < .001）个人的支持较少。来自种族/族裔少数群体的受访者比白人、非西班牙裔受访者更支持这些情景。例如，与白人受访者相比，黑人受访者更支持苹果-谷歌接触者追踪计划（系数，0.20；95% CI，0.07-0.32；P = .002）。在这项针对美国成年人的调查研究中，许多人反对在数字平台上使用他们的信息来减少 COVID-19 的传播。这些发现表明，在当前和未来的流行病中，公共卫生部门应使用多种策略来赢得公众信任并加速采用数字接触者追踪应用程序等工具。
This cross-sectional survey study assesses use of consumer digital information for COVID-19 control that US adults consider to be acceptable and the factors associated with higher or lower approval of use of this information. What uses of consumer digital information for COVID-19 control are most acceptable to US adults, and what factors are associated with higher or lower approval of use of this information? In this cross-sectional survey study of 6284 US adults, approval was generally low for use of consumer digital data for activities such as case identification, digital contact tracing, policy setting, and enforcing quarantines. Political ideology and race/ethnicity were associated with approval for scenarios in which digital data were used, whereas local COVID-19 incidence and family experience with COVID were not. The findings suggest that in current and future pandemics, public health departments should use multiple strategies to gain public trust and accelerate adoption of tools such as digital contact tracing applications. Curbing COVID-19 transmission is currently the greatest global public health challenge. Consumer digital tools used to collect data, such as the Apple-Google digital contact tracing program, offer opportunities to reduce COVID-19 transmission but introduce privacy concerns. To assess uses of consumer digital information for COVID-19 control that US adults find acceptable and the factors associated with higher or lower approval of use of this information. This cross-sectional survey study obtained data from a nationally representative sample of 6284 US adults recruited by email from the web-based Ipsos KnowledgePanel in July 2020. Respondents evaluated scenarios reflecting uses of digital data for COVID-19 control (case identification, digital contact tracing, policy setting, and enforcement of quarantines). Levels of support for use of personal digital data in 9 scenarios to mitigate the spread of COVID-19 infection, rated on a Likert scale, ranging from 1 (strongly disagree) to 5 (strongly agree). Multivariable linear regression models were fitted for each scenario and included factors hypothesized to be associated with views about digital data use for COVID-19 mitigation measures. Black and Hispanic survey respondents were oversampled; thus, poststratification weights were used so that results are representative of the general US population. Of 6284 individuals invited to participate in the study, 3547 responded, for a completion rate of 56%. A total of 1762 participants (52%) were female, 715 (21%) identified as Black, 790 (23%) identified as Hispanic, and 1224 (36%) were 60 years or older; mean (SD) age was 51.7 (16.6) years. Approval of scenarios was low, ranging from 28% to 43% (52%-67% when neutral responses were included). Differences were found based on digital data source (smartphone vs social media: coefficient, 0.29 [95% CI, 0.23-0.35]; P < .001; smart thermometer vs social media: coefficient, 0.09 [95% CI, 0.03-0.16]; P = .004). County COVID-19 rates (coefficient, −0.02; 95% CI, −0.16 to 0.13 for quartile 4 compared with quartile 1) and prior family diagnosis of COVID-19 (coefficient, 0.00; 95% CI, −0.25 to 0.25) were not associated with support. Compared with self-described liberal individuals, conservative (coefficient, −0.81; 95% CI, −0.96 to −0.66; P < .001) and moderate (coefficient, −0.52; 95% CI, −0.67 to −0.38; P < .001) individuals were less likely to support the scenarios. Similarly, large political differences were observed in support of the Apple-Google digital contact tracing program, with less support from conservative (coefficient, −0.99; 95% CI, −1.11 to −0.87; P < .001) and moderate (coefficient, −0.59; 95% CI, −0.69 to −0.48; P < .001) individuals compared with liberal individuals. Respondents from racial/ethnic minority groups were more supportive of the scenarios than were White, non-Hispanic respondents. For example, compared with White respondents, Black respondents were more supportive of the Apple-Google contact tracing program (coefficient, 0.20; 95% CI, 0.07-0.32; P = .002). In this survey study of US adults, many were averse to their information being used on digital platforms to mitigate transmission of COVID-19. These findings suggest that in current and future pandemics, public health departments should use multiple strategies to gain public trust and accelerate adoption of tools such as digital contact tracing applications.
登录
查看更多内容
影响因子：
3.4
作者：
Callegaro, Mario;Disogra, Charles
通讯作者：
Disogra, Charles
影响因子：
8.5
作者：
Chen, Emily;Lerman, Kristina;Ferrara, Emilio
通讯作者：
Ferrara, Emilio
影响因子：
33.9
作者：
Moreland, Amanda;Herlihy, Christine;Baldwin, Grant
通讯作者：
Baldwin, Grant
影响因子：
3.4
作者：
Bradford, Laura;Aboy, Mateo;Liddell, Kathleen
通讯作者：
Liddell, Kathleen
影响因子：
13.8
作者：
Grande, David;Marti, Xochitl Luna;Cannuscio, Carolyn C.
通讯作者：
Cannuscio, Carolyn C.