| Literature DB >> 23718965 |
Tim Ken Mackey1, Bryan A Liang.
Abstract
BACKGROUND: Illicit or rogue Internet pharmacies are a recognized global public health threat that have been identified as utilizing various forms of online marketing and promotion, including social media.Entities:
Keywords: Internet; health policy; marketing of health services; online pharmaceutical services; pharmacies; social marketing; social media
Mesh:
Substances:
Year: 2013 PMID: 23718965 PMCID: PMC3668613 DOI: 10.2196/jmir.2610
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Illicit Internet-based direct-to-consumer advertising (eDTCA) ad created for study.
Unique URLs linked to illicit Internet-based direct-to-consumer advertising (eDTCA) sites.
| Study site URLsa | eDTCA platform and associated link |
| www.norxsafedrugsnow.com | Facebook (http://www.facebook.com/pages/No-Prescription-Online-Pharmacy/178946562182447) |
| www.norxneededsafedrugs.com | Twitter (@NoRXPharmacy) |
| www.norxneededcheapandsafedrugs.com | MySpace (http://www.myspace.com/norxonlinepharmacy) |
| www.norxneededcheapdrugs.com | Google+ (used with Gmail account: norxonlinepharmacy@gmail.com which was suspended) |
aURLs hosted using Go Daddy services [22].
Figure 2Facebook eDTCA site.
Figure 4MySpace eDTCA site.
Illicit eDTCA unique user descriptive statistics.
| Social media | Visits (n) | Mean | Median | Mode | Min | Max | Other information |
| 859 | 78.09 | 83 | 89 | 41 | 102 | 2 likes | |
| 1069 | 97.18 | 99 | 117 | 40 | 124 | 1 following | |
| MySpace | 867 | 78.81 | 90 | 95 | 18 | 96 | N/A |
Figure 5Unique user traffic statistics for eDTCA sites (provided by Go Daddy website analytics tool).
Figure 6Geographic heat map of user traffic (source: Google Fusion Tables).
Illicit eDTCA user location data.
| Country | Classificationa | Social media site, n (%) | |||
|
|
| MySpace | Total | ||
| United States | High income | 702 (34.2) | 818 (37.7) | 650 (30.0) | 2170 (54.3) |
| China | Upper-middle income/emerging market | 240 (23.1) | 412 (39.7) | 387 (37.2) | 1039 (26.0) |
| United Kingdom | High income | 105 (8.8) | 145 (9.6) | 106 (8.2) | 356 (8.9) |
| Russian Federation | Upper-middle income/emerging market | 67 (5.6) | 76 (5.0) | 117 (9.0) | 260 (6.5) |
| Unknown | — | 38 (3.2) | 12 (0.8) | 7 (0.5) | 57 (1.4) |
| Germany | High income | 7 (0.6) | 9 (0.6) | 8 (0.6) | 24 (0.6) |
| Japan | High income | 5 (0.4) | 15 (1.0) | 4 (0.3) | 24 (0.6) |
| Netherlands | High income | 4 (0.3) | 5 (0.3) | 5 (0.4) | 14 (0.4) |
| France | High income | 4 (0.3) | 4 (0.3) | 4 (0.3) | 12 (0.3) |
| Ukraine | Lower-middle income/emerging market | 2 (0.2) | 2 (0.1) | 2 (0.2) | 6 (0.2) |
| Israel | High income | 2 (0.2) | 2 (0.1) | 2 (0.2) | 6 (0.2) |
| Czech Republic | High income | 2 (0.2) | 2 (0.1) | 2 (0.2) | 6 (0.2) |
| Moldova, Republic of | Lower-middle income | 3 (0.3) | 2 (0.1) | 2 (0.2) | 7 (0.2) |
| Canada | High income | 3 (0.3) | 1 (0.1) | 1 (0.1) | 5 (0.1) |
| Sweden | High income | 2 (0.2) | 0 (0.0) | 0 (0.0) | 2 (0.1) |
| Australia | High income | 1 (0.1) | 1 (0.1) | 1 (0.1) | 3 (0.1) |
| Taiwan | High incomeb | 1 (0.1) | 1 (0.1) | 1 (0.1) | 3 (0.1) |
| Romania | Upper-middle income | 1 (0.1) | 1 (0.1) | 1 (0.1) | 3 (0.1) |
| Korea, Republic of | High income | 0 (0.0) | 2 (0.1) | 0 (0.0) | 2 (0.1) |
aCountry income classification based on World Bank List of Economies [25]. Country emerging market classification based on the International Monetary Fund’s World Economic Outlook Update [26].
bTaiwan is not listed as a separate country, but it is separately classified by the World Bank as a high-income country [27].