| Literature DB >> 21345783 |
John Powell1, Nadia Inglis, Jennifer Ronnie, Shirley Large.
Abstract
BACKGROUND: Most households in the United Kingdom have Internet access, and health-related Internet use is increasing. The National Health Service (NHS) Direct website is the major UK provider of online health information.Entities:
Mesh:
Year: 2011 PMID: 21345783 PMCID: PMC3221342 DOI: 10.2196/jmir.1600
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Theoretical characteristics and potential public health benefits and challenges of health-related Internet use
| Characteristics of the health Internet | Potential public health benefits | Potential challenges to public health |
Vast quantity of information Unregulated Always on Accessible from anywhere Interactive Information can be captured, archived, and retrieved Content from both expert sources and user-generated sources Content can be free or paid for Users can organize in virtual communities | Public education Public empowerment supporting informed consumers engaged in their own care Connect people with others who have similar problems Online social support Reduce barriers (time, location, and cost) to accessing information and services Avoid the stigma of real-world consultation for certain problems Deliver interactive interventions, as well as information Integrated health services such as shared electronic records Reduced travel and carbon emissions | Misinformation leading to harm Misuse of accurate information or services such as e-pharmacy Exacerbation of inequalities in health caused by the digital divide Challenges to the authority of health professionals Disruptive behavior in virtual communities Social isolation of users Internet addiction of users Ergonomic effects of computer use and reduced physical activity |
Survey responses by gender (missing data reported because partially completed surveys were included in the analysis). Total respondents N = 792
| Female | Male | Missing data | ||
| Under 25 | 184 | 56 | 1 | |
| 26-35 | 109 | 47 | 3 | |
| 36-45 | 91 | 41 | 2 | |
| 46-55 | 59 | 38 | 3 | |
| 56-65 | 40 | 34 | 1 | |
| 66-75 | 17 | 10 | 0 | |
| Over 75 | 2 | 12 | 0 | |
| Missing data | 9 | 9 | 24 | |
| None | 57 | 36 | 4 | |
| O levels or equivalent | 119 | 46 | 3 | |
| A levels or equivalent | 108 | 33 | 2 | |
| University degree or equivalent | 181 | 100 | 5 | |
| Other | 36 | 27 | 2 | |
| Missing data | 10 | 5 | 18 | |
| Very good or good | 306 | 153 | 15 | |
| Fair | 150 | 64 | 1 | |
| Bad or very bad | 50 | 25 | 4 | |
| Missing data | 5 | 5 | 14 | |
| Myself | 341 | 181 | 23 | |
| Someone else | 120 | 49 | 3 | |
| Myself and someone else | 48 | 12 | 4 | |
| Missing data | 2 | 5 | 4 | |
| New issue | 243 | 109 | 14 | |
| Long-standing issue | 88 | 59 | 4 | |
| Both a new and long-standing issue | 93 | 39 | 0 | |
| Other | 80 | 34 | 7 | |
| Missing data | 7 | 6 | 9 | |
| Yes | 230 | 103 | 13 | |
| No | 274 | 139 | 11 | |
| Missing data | 7 | 5 | 10 | |
Characteristics of interview participants (n = 26)
| Female (n = 20) | Male (n = 6) | ||
| 16-25 | 4 | 0 | |
| 26-35 | 2 | 0 | |
| 36-45 | 4 | 2 | |
| 46-55 | 4 | 1 | |
| 56-65 | 4 | 3 | |
| Over 65 | 2 | 0 | |
| Very good or good | 7 | 1 | |
| Fair | 9 | 5 | |
| Bad or very bad | 4 | 0 | |
| Self | 9 | 6 | |
| Other | 10 | 0 | |
| Self and other | 0 | 1 | |