| Literature DB >> 34511995 |
Maram Alshareef1, Amna Alotiby2.
Abstract
INTRODUCTION: Ever since COVID-19 was declared as a global pandemic, there has been a prevalence of misinformation circulating online on social media platforms. In order to better tackle COVID-19 it is important to determine how the general population perceive the sharing of medical information on social media platforms. Based on this, the aim of the study is to analyse the perception of Saudi Arabian Health Care Workers' (HCWs) and Non-Health Care Workers' (NHCWs) regarding the sharing and resharing of medical information, whether true or false, on social media platforms regarding COVID-19.Entities:
Keywords: COVID-19; Saudi Arabian population; infodemic; misinformation; sharing information
Year: 2021 PMID: 34511995 PMCID: PMC8420801 DOI: 10.2147/IJGM.S326767
Source DB: PubMed Journal: Int J Gen Med ISSN: 1178-7074
Descriptive Statistics of Survey Respondents
| Personal Data | Total (%) | Study Groups | |||
|---|---|---|---|---|---|
| HCWs (n=275) | NHCWs (n=974) | ||||
| n | % | n | % | ||
| Central region | 403 (32.3%) | 76 | 27.6% | 327 | 33.6% |
| Eastern region | 123 (9.8%) | 27 | 9.8% | 96 | 9.9% |
| Northern region | 83 (6.6%) | 8 | 2.9% | 75 | 7.7% |
| Southern region | 80 (6.4%) | 23 | 8.4% | 57 | 5.9% |
| Western region | 560 (44.8%) | 141 | 51.3% | 419 | 43.0% |
| Saudi | 1192 (95.4%) | 254 | 92.4% | 938 | 96.3% |
| Non-Saudi | 57 (4.6%) | 21 | 7.6% | 36 | 3.7% |
| Male | 288 (23.1%) | 98 | 35.6% | 190 | 19.5% |
| Female | 961 (76.9%) | 177 | 64.4% | 784 | 80.5% |
| Young adults (18–40) | 824 (66.0%) | 193 | 70.2% | 631 | 64.8% |
| Middle-aged adults (41–59) | 391 (31.3%) | 70 | 25.5% | 321 | 33.0% |
| Older adults (60–70) | 34 (2.7%) | 12 | 4.4% | 22 | 2.3% |
| Less than high school | 32 (2.6%) | 0 | 0.0% | 32 | 3.3% |
| High school | 178 (14.3%) | 3 | 1.1% | 175 | 18.0% |
| Bachelor’s degree | 713 (57.1%) | 142 | 51.6% | 571 | 58.6% |
| Post graduate degree | 326 (26.1%) | 130 | 47.3% | 196 | 20.1% |
| Physician | 100 | Public Health promotion | 5 | ||
| Laboratory technologist | 78 | Medical care and rehabilitation | 6 | ||
| Pharmacist | 23 | Radiologist | 5 | ||
| Nurse | 21 | Medical equipment engineer | 4 | ||
| Clinical nutrition | 16 | Infection control | 2 | ||
| Health administrator | 15 | ||||
Prevalence of Circulating the Information Regarding Using Natural Remedies as Protective Measures Against the COVID-19 Infection by Study Groups
| Question | Response | Total | Groups | P-value | ||||
|---|---|---|---|---|---|---|---|---|
| HCWs | NHCWs | |||||||
| n | % | n | % | n | % | |||
| Have you participated in recirculating the information related to natural remedies uses as protective measures during COVID-19 pandemic with others | Never | 503 | 40.3% | 132 | 48.0% | 371 | 38.1% | 0.049* |
| Sometimes | 291 | 23.3% | 56 | 20.4% | 235 | 24.1% | ||
| Often | 71 | 5.7% | 14 | 5.1% | 57 | 5.9% | ||
| Usually | 103 | 8.2% | 21 | 7.6% | 82 | 8.4% | ||
| Always | 281 | 22.5% | 52 | 18.9% | 229 | 23.5% | ||
Notes: P: Pearson X2 test. *P < 0.05 (significant).
Distribution of the Most Preferred Social Media Platforms for COVID-19 Related Information Among the Study Group
| Social Media Used | Total (%) | Study Groups | P-value | |||
|---|---|---|---|---|---|---|
| HCWs | NHCWs | |||||
| n | % | n | % | |||
| 644 (51.6%) | 144 | 52.4% | 500 | 51.3% | 0.018* | |
| 345 (27.6%) | 88 | 32.0% | 257 | 26.4% | ||
| Snapchat | 172 (13.8%) | 21 | 7.6% | 151 | 15.5% | |
| 4 (0.3%) | 0 | 0.0% | 4 | 0.4% | ||
| 8 (0.6%) | 1 | 0.4% | 7 | 0.7% | ||
| Telegram | 9 (0.7%) | 2 | 0.7% | 7 | 0.7% | |
| All social media | 67 (5.4%) | 19 | 6.9% | 48 | 4.9% | |
Notes: P: Exact probability test. *P < 0.05 (significant).
Participants’ Perception Regarding the Recirculation of the Information Related to Natural Remedies Uses as Protective Measures During the COVID-19 Pandemic
| Reason for Sharing the Medical Information without Referring to the Source or Evidence During the COVID-19 Pandemic | Total | Groups | P-value | ||||
|---|---|---|---|---|---|---|---|
| HCWs | NHCWs | ||||||
| n | % | n | % | n | % | ||
| I never contribute to share the medical information with others | 503 | 40.3% | 132 | 48.0% | 371 | 38.1% | 0.010* |
| I do not share any medical information until I can be sure it is correct | 295 | 23.6% | 69 | 25.1% | 226 | 23.2% | |
| I only share the information with professional people to make sure if it is correct | 82 | 6.6% | 14 | 5.1% | 68 | 7.0% | |
| I think sharing the information without evidence is harmless and may be beneficial | 128 | 10.2% | 20 | 7.3% | 108 | 11.1% | |
| I think most of the published medical information is correct | 84 | 6.7% | 8 | 2.9% | 76 | 7.8% | |
| I do not have the experience or knowledge even if I return to the original sources | 18 | 1.4% | 5 | 1.8% | 13 | 1.3% | |
| I do not have time to search for the reliability of the information source before sharing it. | 12 | 1.0% | 3 | 1.1% | 9 | 0.9% | |
| I think the information is correct based on my experience | 127 | 10.2% | 24 | 8.7% | 103 | 10.6% | |
Notes: P: Pearson X2 test. *P < 0.05 (significant).
Information Recirculation Based on Demographic Details
| Personal Data | Have You Participated in Recirculating the Information Related to Natural Remedies Uses as Protective Measures During COVID-19 Pandemic with Others | P-value | ||
|---|---|---|---|---|
| n | % | |||
| Region | Central region | 233 | 57.8% | 0.397 |
| Eastern region | 68 | 55.3% | ||
| North region | 49 | 59.0% | ||
| Southern region | 54 | 67.5% | ||
| Western region | 342 | 61.1% | ||
| Gender | Male | 171 | 59.2% | 0.825 |
| Female | 575 | 59.9% | ||
| Age group | Young adults (18–40) | 450 | 54.6% | 0.001* |
| Middle-aged adults (41–59) | 269 | 68.8% | ||
| Older adults (60–70) | 27 | 79.4% | ||
| Educational level | Less than high school | 19 | 59.4% | 0.065 |
| High school | 117 | 66.1% | ||
| Bachelor’s degree | 404 | 56.7% | ||
| Post graduate degree | 206 | 63.0% | ||
| HCWs specialty | Clinical nutrition | 5 | 31.3% | 0.187 |
| Health Administrator | 12 | 70.6% | ||
| Laboratory technologist | 43 | 55.1% | ||
| Medical equipment engineer | 4 | 40.0% | ||
| Nurse | 11 | 52.4% | ||
| Pharmacist | 12 | 52.2% | ||
| Physician | 49 | 49.0% | ||
| Public Health promotion | 2 | 40.0% | ||
| Radiologist | 5 | 100.0% | ||
Notes: P: Pearson X2 test. *P < 0.05 (significant).