| Literature DB >> 34043526 |
Stephen Neely1, Christina Eldredge2, Ron Sanders3.
Abstract
BACKGROUND: In recent years, medical journals have emphasized the increasingly critical role that social media plays in the dissemination of public health information and disease prevention guidelines. However, platforms such as Facebook and Twitter continue to pose unique challenges for clinical health care providers and public health officials alike. In order to effectively communicate during public health emergencies, such as the COVID-19 pandemic, it is increasingly critical for health care providers and public health officials to understand how patients gather health-related information on the internet and adjudicate the merits of such information.Entities:
Keywords: COVID-19; United States; communication; information seeking; internet; mistrust; public health; social media; survey; usage; web-based health information
Mesh:
Year: 2021 PMID: 34043526 PMCID: PMC8202660 DOI: 10.2196/29802
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Sample comparison.a
| Characteristic | Sample in this study, % | 2019 American Community Survey, % | |
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| Female | 51.2 | 51.1 |
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| Male | 48.8 | 48.9 |
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| 18-24 | 11.3 | 11.9 |
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| 25-34 | 17.8 | 17.8 |
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| 35-44 | 17 | 16.5 |
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| 45-54 | 16 | 16 |
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| 55-64 | 17.1 | 16.6 |
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| ≥65 | 20.8 | 21.2 |
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| Black or African American | 15.7 | 15.1 |
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| White | 73.2 | 76.4 |
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| Asian or Pacific Islander | 7.9 | 7.6 |
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| American Indian or Alaska Native | 1 | 0.8 |
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| Other | 2.2 | 0.2 |
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| Hispanic | 17.7 | 17.5 |
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| Non-Hispanic | 82.3 | 82.5 |
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| Less than high school | 6.8 | 11.4 |
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| High school or equivalent | 25.9 | 27.6 |
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| Some college or an associate degree | 34 | 30.4 |
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| 4-year degree | 21.5 | 19.3 |
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| Graduate or professional degree | 11.7 | 11.4 |
aData are from the Florida Center for Cybersecurity’s January 2021 COVID-19 survey.
Reliance on social media for pandemic-related information.a
| Questions and responses | Respondents, n (%) | ||
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| |||
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| A great deal | 208 (20.7) | |
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| A lot | 250 (24.9) | |
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| A little | 304 (30.3) | |
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| Not at all | 241 (24) | |
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| |||
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| Every day | 323 (32.2) | |
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| A few days a week | 271 (27) | |
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| Once a week | 112 (11.2) | |
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| Less often | 297 (29.6) | |
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| |||
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| Strongly agree | 73 (7.3) | |
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| Somewhat agree | 250 (24.9) | |
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| Neither agree nor disagree | 252 (25.1) | |
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| Somewhat disagree | 188 (18.7) | |
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| Strongly disagree | 240 (23.9) | |
aData are from the Florida Center for Cybersecurity’s January 2021 COVID-19 survey.
Fact-checking pandemic-related information on social media.a
| Responses to the following question: “Please indicate whether or not you've done each of the following since the start of the pandemic?” | Respondents, n (%) |
| “…done internet research to fact-check something that I saw on social media related to COVID-19” | 578 (57.6) |
| “…talked to friends, family, or coworkers about the accuracy of something I saw on social media related to COVID-19” | 686 (68.4) |
| “…talked to my doctor or a healthcare professional about the accuracy of something that I saw on social media related to COVID-19” | 365 (36.4) |
aData are from the Florida Center for Cybersecurity’s January 2021 COVID-19 survey.
Figure 1Health Information Sources "Followed" (As % of Respondents).
Medical sources and vaccine intentions.a
| Intentions | Number of medical sources followed | ||||
|
| None | 1 | 2-3 | 4-5 | ≥6 |
| Will definitely undergo vaccination, % | 28.2 | 31.7 | 38.8 | 55 | 55.6 |
| Will probably undergo vaccination, % | 24.9 | 23 | 24.9 | 17.5 | 14.8 |
| May or may not undergo vaccination, % | 16.6 | 15.5 | 19.6 | 23.8 | 18.5 |
| Will probably not undergo vaccination, % | 14.4 | 11.7 | 6.2 | 0 | 3.7 |
| Will definitely not undergo vaccination, % | 16 | 18.1 | 10.5 | 3.8 | 7.4 |
aChi-square test results: χ216=50.790; φ=0.258; P<.001.