| Literature DB >> 31763086 |
Shareefah A Alassiri1, Areej S Alowfi2.
Abstract
Health information dissemination through social media networks has transformed the process of communication between health practitioners, patients, and the public. Twitter is one of the most commonly used social media networks in Saudi Arabia for sharing health information. However, the reliability of health information on Twitter has been questioned by some skeptics, thereby placing the public at a significant health risk. This study was conducted to assess the attitudes of the general population of Saudi Arabia towards health information sought from Twitter. Of the 384 total respondents, 199 (51.8%) considered using Twitter as a source of health information as a positive experience due to its ease of use and the accessibility of information (131, 66.0%). The study found that respondents have great concern about nutrition/weight loss (229, 59.6%), healthy lifestyle (225, 58.6%), and getting a better understanding of health care misconceptions (168, 43%). Most of the respondents (167, 43.5%) were satisfied using Twitter as a source of health information. However, a few respondents experienced harm to their health as a result of false medical advice (2, 0.5%) and false health information (2, 0.5%) they found on Twitter. This study concludes that Twitter is mainly useful in obtaining health knowledge for maintaining good health, preventing illness, and curing illnesses or diseases. However, the public must take extra caution when obtaining health information from Twitter. It is essential for Twitter users seeking medical information to also seek professional medical advice or consultation, as necessary, to prevent a significant health risk.Entities:
Keywords: health information; saudi arabia; twitter
Year: 2019 PMID: 31763086 PMCID: PMC6834101 DOI: 10.7759/cureus.5863
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Socio-demographic characteristics of the respondents
| Socio-demographic characteristics | Frequency (n) | Percentage (%) | |
| Age | 18–25 | 142 | 37.0 |
| 26–35 | 167 | 43.5 | |
| 36–45 | 47 | 12.2 | |
| > 45 | 28 | 7.3 | |
| Gender | Male | 242 | 63.0 |
| Female | 142 | 37.0 | |
| Nationality | Saudi | 360 | 93.8 |
| Non-Saudi | 24 | 6.2 | |
| Marital Status | Single | 200 | 52.1 |
| Married | 178 | 46.4 | |
| Divorced | 6 | 1.5 | |
| Widow | 0 | 0.0 | |
| Region | Makkah | 198 | 51.6 |
| Riyadh | 87 | 22.7 | |
| Assir | 45 | 11.7 | |
| Madinah | 24 | 6.2 | |
| Jazan | 5 | 1.3 | |
| Eastern Region | 5 | 1.3 | |
| Others | 20 | 5.2 | |
| Educational Attainment | Intermediate | 8 | 2.1 |
| Secondary | 49 | 12.8 | |
| University | 234 | 60.9 | |
| Diploma | 22 | 5.7 | |
| Masters | 47 | 12.2 | |
| Doctorate | 24 | 6.3 | |
| Field of Occupation | Unemployed | 52 | 13.5 |
| Student | 78 | 20.3 | |
| Medical | 129 | 33.6 | |
| Educational | 38 | 9.9 | |
| Engineering | 7 | 1.8 | |
| Administration | 35 | 9.1 | |
| Business | 14 | 3.6 | |
| Retired | 8 | 2.1 | |
| Other | 23 | 6.1 | |
| Monthly Income (Saudi Riyals) | ≤ 1000 | 4 | 1.0 |
| 1001–3000 | 28 | 7.3 | |
| 3001–6000 | 28 | 7.3 | |
| 6001–9000 | 37 | 9.6 | |
| 9001–12,000 | 63 | 16.4 | |
| > 12,000 | 224 | 58.4 | |
Characteristics of respondents who use Twitter to obtain health information
| Characteristics of respondents who use Twitter | Frequency (n) | Percentage (%) |
| Duration of Twitter use | ||
| < 1 year | 29 | 7.6 |
| 1–3 years | 106 | 27.5 |
| 4–5 years | 177 | 46.1 |
| > 5 years | 72 | 18.8 |
| Preference of Twitter use for health information | ||
| Positive | 199 | 51.8 |
| Negative | 185 | 48.2 |
| Reason for preference | ||
| Ease of use and access | 131 | 66.0 |
| Comprehensive information | 32 | 16.0 |
| Validity of information | 10 | 5.0 |
| Low cost | 15 | 7.5 |
| Other | 11 | 5.5 |
| Seeking health information through accounts belonging to: | ||
| Governmental health institutions | 105 | 27.3 |
| Private health institutions | 15 | 3.9 |
| Medical organizations | 43 | 11.2 |
| Health campaigns | 27 | 7.1 |
| Particular physicians | 139 | 36.2 |
| Particular specialty search | 19 | 4.9 |
| Other | 36 | 9.4 |
Benefits and harms of obtaining health information through Twitter
| Items | Frequency (n) | Percentage (%) |
| Benefits from Twitter use | ||
| Better diet | 94 | 24.5 |
| Abstinence from smoking | 4 | 1.0 |
| Weight loss | 39 | 10.2 |
| Better health care for my family | 30 | 7.8 |
| Better understanding of misconceptions | 168 | 43.8 |
| Other | 49 | 12.7 |
| Level of satisfaction of obtaining health information through Twitter | ||
| Very satisfactory | 25 | 6.5 |
| Satisfactory | 167 | 43.5 |
| Neutral | 161 | 41.9 |
| Unsatisfactory | 31 | 8.1 |
| Distribution of respondents who experienced harm caused by false health information on Twitter | ||
| A harm experience | 2 | 0.5 |
| No harm experience | 312 | 81.3 |
| Don’t know | 70 | 18.2 |
| The harm caused by the application of information obtained from Twitter | ||
| Pain in teeth implant | 1 | 0.05 |
| Severe dizziness | 1 | 0.05 |
| Visited the hospital due to harm from the application of information obtained from Twitter | ||
| Yes | 2 | 0.5 |
| Never | 382 | 99.5 |
Reasons for searching health information on Twitter
| Items | Frequency (n) | Percentage (%) |
| Reasons for Twitter search | ||
| Disease prevention | 170 | 44.3 |
| Search of a cure for my illness | 154 | 40.1 |
| Epidemic outbreaks | 109 | 28.4 |
| General knowledge | 256 | 66.7 |
| Twitter search according to health specialties | ||
| Nutrition/weight loss | 229 | 59.6 |
| Healthy lifestyle | 225 | 58.6 |
| Family medicine | 125 | 32.6 |
| Cosmetics | 90 | 23.4 |
| Cancer and its prevention | 75 | 19.5 |
| Dermatology | 61 | 15.9 |
| First aid | 61 | 15.9 |
| Dental | 59 | 15.4 |
| Internal medicine | 56 | 14.6 |
| Pediatrics | 44 | 11.5 |
| Ob-Gyne | 43 | 11.2 |
| Other | 43 | 11.2 |
| Infectious diseases | 39 | 10.2 |
| Heart diseases | 36 | 9.4 |
| Sexually transmitted diseases | 28 | 7.3 |
| Pulmonology | 26 | 6.8 |
Association between the benefits of Twitter use and age group
| Benefits from Twitter use | Age Group | P-Value | |||
| 18–25 | 26–35 | 36–45 | > 45 | ||
| Better diet | 45 | 33 | 8 | 8 | 0.01 |
| Abstinence from smoking | 0 | 4 | 0 | 0 | |
| Weight loss | 13 | 18 | 7 | 1 | |
| Better health care for my family | 6 | 17 | 7 | 0 | |
| Better understanding of misconceptions | 71 | 66 | 18 | 13 | |
| Other | 9 | 28 | 7 | 6 | |
Relationship between the benefits of Twitter use and the respondents’ occupational field
| Occupational field | Benefits from Twitter use | P-Value | |||||
| Better diet | Abstinence from smoking | Weight loss | Better health care for family | Better understanding of misconceptions | Other | ||
| Unemployed | 14 | 0 | 2 | 2 | 31 | 3 | < 0.001 |
| Student | 23 | 0 | 0 | 2 | 8 | 6 | |
| Medical | 24 | 2 | 13 | 15 | 47 | 28 | |
| Educational | 10 | 2 | 5 | 1 | 20 | 0 | |
| Engineering | 1 | 0 | 3 | 0 | 0 | 3 | |
| Administration | 9 | 0 | 4 | 7 | 14 | 1 | |
| Business | 4 | 0 | 0 | 2 | 8 | 0 | |
| Retired | 2 | 0 | 4 | 0 | 3 | 3 | |
| Other | 7 | 0 | 4 | 1 | 6 | 5 | |