| Literature DB >> 21965220 |
Grazia Orizio1, Anna Merla, Peter J Schulz, Umberto Gelatti.
Abstract
BACKGROUND: Online pharmacies are companies that sell pharmaceutical preparations, including prescription-only drugs, on the Internet. Very little is known about this phenomenon because many online pharmacies operate from remote countries, where legal bases and business practices are largely inaccessible to international research.Entities:
Mesh:
Substances:
Year: 2011 PMID: 21965220 PMCID: PMC3222188 DOI: 10.2196/jmir.1795
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Paper selection algorithm.
Contents of articles about online pharmacies, listed in alphabetical order according to first author; the presence of each item is indicated when studied and the percentage is reported when comparable; “X” indicates that the item was analyzed but could not be tabled
| First author, | Prescription | Online questionnaire | Contact details | Geographical location | Delivery | Drugs | Drug | Prices | Marketing | Quality | How long | Privacy |
| Armstrong, 1999 [ | 0 | 50 | 100 | Xa | 55 | X | X | X | X | |||
| Arruanda, 2004 [ | 30 | 99 | X | X | 35 | X | X | X | ||||
| Bate, 2010 [ | X | Xa | X | |||||||||
| Bessel, 2002 [ | 81 | 12 | 66 | 79 | X | X | X | X | X | |||
| Bloom, 1999 [ | Xb | Xb | 11 | X | X | |||||||
| Bloom, 2006 [ | Xb | Xb | 92 | X | X | X | ||||||
| CASAc, 2008 [ | 15 | 41 | X | Xa | X | |||||||
| Cicero, 2008 [ | Xa | X | ||||||||||
| European Alliance, 2008 [ | 10 | 16 | 42 | 16 | X | X | X | |||||
| Eysenbach, 1999 [ | 9 | 50 | X | Xa | X | X | X | |||||
| Forman, 2003 [ | 0a | X | Xa | |||||||||
| Forman, 2006 [ | 0a | X | Xa | |||||||||
| Forman, 2006 [ | 0a | 50 | Xa | |||||||||
| Forman, 2006 [ | 0a | 52 | Xa | X | X | |||||||
| Gallagher, 2010 [ | 7 | 59 | 100 | 59 | ||||||||
| GAOd, 2000 [ | 58 | 28 | 81 | 61 | X | |||||||
| GAOd, 2004 [ | 34 | 40 | X | X | ||||||||
| Gernburd, 2007 [ | 0 | 100 | X | X | X | |||||||
| Gurau, 2005 [ | 34 | 59 | 100 | X | X | |||||||
| Holmes, 2005 [ | Xe | |||||||||||
| Koong, 2005 [ | X | |||||||||||
| Kunz, 2010 [ | X | |||||||||||
| Kuzma, 2011 [ | X | |||||||||||
| Levaggi, 2009 [ | 19 | 67 | 44 | X | X | X | X | |||||
| Littlejohn, 2005 [ | 10 | X | X | X | ||||||||
| Mahé, 2009 [ | X | Xa | X | X | ||||||||
| Mainous, 2009 [ | 0a | 64 | X | Xa | ||||||||
| Makinen, 2005 [ | X | X | Xa | X | X | X | ||||||
| Memmel, 2006 [ | 0 | 75 | X | Xa | X | |||||||
| NABPf, 2010 [ | 4 | 58 | 47 | X | X | |||||||
| Orizio, 2009 [ | 19 | 56 | 43 | X | X | X | X | |||||
| Orizio, 2009 [ | 0a | 100a | 28 | |||||||||
| Orizio, 2010 [ | 22 | 45 | X | X | X | X | X | |||||
| Peterson, 2001 [ | 88 | 67 | Xa | X | X | X | X | |||||
| Peterson, 2003 [ | Xa | X | X | X | X | |||||||
| Quon, 2005 [ | Xa | X | X | |||||||||
| Raine, 2009 [ | 17 | 41 | 43 | Xa | Xa | X | ||||||
| Schifano, 2006 [ | 0 | 10 | Xa | |||||||||
| Soares Gondim, 2007 [ | 81 | Xa | X | X | ||||||||
| Tsai, 2002 [ | 0a | 81 | 37 | 98 | Xa | X | X | X | ||||
| Veronin, 2007 [ | Xa | |||||||||||
| Wagner, 2001 [ | 100 | 100 | Xa | X | Xa | 100 | X |
a See other specific inclusion criteria, fourth and fifth column in Multimedia Appendix 2, which lists the characteristics of the studied samples of online pharmacies.
b Does not specify whether the prescription is an original one from the customer’s physician or an online one.
c National Center on Addiction and Substance Abuse.
d US Government Accountability Office.
e The study aimed to evaluate the responses provided by the “ask the pharmacy” service.
f National Association of Boards of Pharmacy.
Figure 2Articles on online pharmacy characteristics (included in Table 1) by year of publication and number of online pharmacies in the study sample (data not reported because out of range: NABP sample of 5859 online pharmacies [10]).
Articles on the quality of drugs purchased online, listed in alphabetical order according to the first author
| First author, year of | Year(s) of data | Type of drugs ordered | Response rate (products | Drug purchase | Drug quality |
| Bate, 2010 [ | 2009 | Lipitor, Viagra, Celebrex, Nexium, Zoloft | Response rate not computable; 152 ordered drugs were received | Prescription requirement, money transaction | Packaging, chemical analysis |
| Cicero, 2008 [ | 2006 | Opioid analgesics | 0% (0/47) of “opioid scheduled” orders, 100 (1/1) purchase of tramadol | Prescription requirement, money transaction, subsequent advertisement | |
| Dean, 2010 [ | Not declared | Dapoxetine | 100% (1/1) | Chemical analysis | |
| European Alliance, 2008 [ | Not declared | 18 different active ingredientsa | 94% (34/36) | Prescription requirement | Packaging, instructions, chemical analysis |
| Eysenbach, 1999 [ | 1999 | Viagra | 30% (3/10)b | Prescription requirement, management of online questionnaire, money transaction | |
| GAOc, 2004 [ | 2004 | 13 different active ingredientsd | 75% (68/90) | Prescription requirement, money transaction | Packaging, instructions, chemical analysis |
| Gernburd, 2007 [ | 2006 | 13 different active ingredientse | 39% 5/13b | Prescription requirement, money transaction | |
| Mainous, 2009 [ | 2008 | Antibiotics | 100% (1/1) | Prescription requirement | Instructions |
| Memmel, 2006 [ | 2004–2005 | Hormonal contraceptives | 100% (10/10)f | Prescription requirement, management of the online questionnaire | Packaging, instructions |
| Miller, 2001 [ | 1999–2000 | Prescription and nonprescription contraceptives | 96% (9/10 in 1999 and 15/15 in 2000) | Prescription requirement, money transaction | |
| Veronin, 2004 [ | Not declared | Simvastatin | Response rate not computable; 5 ordered samples were received | Chemical analysis | |
| Veronin, 2007 [ | 2006 | Simvastatin | 100% (4/4)g | Chemical analysis | |
| Westenberger, 2005 [ | Not declared | Fluoxetine, levothyroxine sodium, metformin hydrochloride, phenytoin sodium, warfarin sodium | Response rate not computable; 20 ordered samples were received | Packaging, instructions, chemical analysis |
a The drugs purchased were Cialis, Levitra, Viagra, Propecia, Lipitor, Plavix, Seretide, Coversyl, Micardis, Spiriva, Zyprexa, Efexor, Risperdal, Aricept, Reminyl, Zoton, Reductil, and Mirapex.
b Orders made only on websites asking for an “online questionnaire” to be filled in to obtain an online prescription. The online questionnaire was completed by a fictitious patient with clear contraindications for sildenafil.
c US Government Accountability Office.
d The drugs purchased were Accutane, Celebrex, Clorazil, Combivir, Crixivan, Epogen, Humulin N, Lipitor, and OxyContin.
e The drugs purchased were Ambien, Celebrex, Cialis, Meridia, Nexium, Propecia, Soma, tramadol, Valium, Viagra, Xanax, Zithromax, and Zoloft.
f Orders made with different risk profiles.
g Orders from Canadian websites only.
Articles about consumers buying from online pharmacies, listed in alphabetical order according to the first author
| First author, year of | Year(s) of data | Country where the | Population investigated | Study design | Percentage of people |
| Atkinson, 2009 [ | 2005 | US | Sample of general population | HINTS 2005 surveya | 13% (715/5586) (bought medicines or vitamins) |
| Baker, 2003 [ | 2001–2002 | US | Sample of general population | Internet survey | 5% (over 3668 respondents) |
| Bechara, 2010 [ | 2009 | Argentina | Healthy young men | Questionnaires on use of phosphodiesterase type 5 inhibitors | 2.9% (2/321) |
| Cicero, 2008 [ | 2006 | US | Prescription drug abusers | Questionnaires | 6% (41/685) |
| Cohen, 2010 [ | 2009 | US | Sample of general population aged 18–64 years | NHI Survey 2009b | 6% of 7192 |
| Fox, 2004 [ | 2004 | US | Sample of general population | Telephone interviews | 4% (93/2200) |
| Gordon, 2006 [ | 2003–2004 | US | Drug-dependent inpatients | Semistructured interviews | 6% (6/100) |
| Gurau, 2005 [ | 2004 | UK | Sample of general population | Semistructured questionnaires | 34% (102/300) (people buying or intending to buy online) |
| Harte, 2010 [ | 2006–2007 | US | Male college and university students | Online questionnaires on use of phosphodiesterase type 5 inhibitors | 12% (8/77) of users |
| Inciardi, 2009 [ | Varies with source | US | Drug abusers, students, street sex workers, and “club culture” population | RADARS Systemc, NSDUHd, Delaware School Study, Miami street studies, and qualitative studies | 1%–6% |
| Inciardi, 2010 [ | Varies with source | US | Drug abusers, students and young adults | RADARS Systemc, NSDUHd, MTFe | 0.5%–3% |
| Mazer, 2010 [ | 2007 | US | Sample of emergency department patients | Questionnaires | 5.4% (89/1654) |
| Rajamma, 2009 [ | Not declared | US | Sample of general population born 1946–64 | Online questionnaires to a sample from the consumer panel by Common Knowledge Research Services | Not applicablef |
| Schnetzler, 2010 [ | 2008 | UK, Germany, Italy | Sexually active men | Online questionnaires on use of phosphodiesterase type 5 inhibitors | 32%g |
| Wiedmann, 2010 [ | 2008 | Germany | Sample of general population | Face-to-face interviews | Not applicablef |
a Health Information National Trends Survey by the National Cancer Institute.
b National Health Interview Survey.
c Researched Abuse Diversion and Addiction-Related Surveillance System.
d National Survey of Drug Use and Health.
e Monitoring The Future.
f Evaluation of online drug shopping attitude related to cognitive characteristics.
g 32% of Viagra users obtained the drug from sources outside the health system, including the Internet.
Figure 3Consumer safety as a common denominator for studying online pharmacies.