| Literature DB >> 30135053 |
András Fittler1, Róbert György Vida1, Mátyás Káplár2, Lajos Botz1.
Abstract
BACKGROUND: During the past two decades, the internet has become an accepted way to purchase products and services. Buying medications online are no exception. Besides its benefits, several patient safety risks are linked to the purchase of medicines outside the traditional supply chain. Although thousands of internet pharmacies are accessible on the web, the actual size of the market is unknown. Currently, there is limited data available on the use of internet pharmacies, the number, and attitude of people obtaining medications and other health products from the internet.Entities:
Keywords: Hungary; attitude; internet pharmacy; online medications; survey
Mesh:
Year: 2018 PMID: 30135053 PMCID: PMC6125612 DOI: 10.2196/11115
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Respondent demographic, health status, and internet use characteristics (N=1055).
| Variable | Value | |
| Age (years), mean (SD)a | 45.08 (17.36) | |
| Female | 539 (51.09) | |
| Male | 516 (48.91) | |
| Completed primary school | 68 (6.45) | |
| Graduated high school | 656 (61.18) | |
| Graduated college or university | 329 (31.18) | |
| Advanced (PhD, Doctor of Liberal Arts) | 2 (0.19) | |
| Patients with chronic conditions, n (%) | 456 (43.22) | |
| Number of regular medications per patient, mean (SD) | 1.55 (2.63) | |
| Number of regular medications per patient, range | 0-25 | |
| Daily | 737 (69.86) | |
| Weekly | 150 (14.22) | |
| Never | 168 (15.92) | |
| Regularly | 203 (19.24) | |
| A few times | 515 (48.82) | |
| Never | 337 (31.94) | |
aMedian 45 years, range 16-89 years.
A summary of attitudes towards the 3 main supply chain retail channels using a 5-point Likert scale. A score of 1 was given for “not appropriate at all” while 5 was given for “entirely appropriate.”
| Retail channels | Mean (SD) |
| Pharmacy | 4.79 (0.53) |
| Nonpharmacy units | 2.94 (1.38) |
| Internet | 2.25 (1.42) |
A comparative evaluation of potential benefits and disadvantages of online drug shopping.
| Parameters | Evaluation, mean (SD) | |
| Convenient | 4.29 (1.07) | |
| People who cannot get to a pharmacy can also purchase products | 4.18 (1.11) | |
| I can purchase medicines after opening hours | 4.1 (1.19) | |
| I can access products which are otherwise not available for me | 3.34 (1.43) | |
| Fast | 3.71 (1.29) | |
| Products can be compared faster and more easily than in the pharmacy | 3.15 (1.34) | |
| Inexpensive | 2.87 (1.21) | |
| I can get more information compared to the pharmacy | 2.85 (1.43) | |
| I can get products with better quality compared to the pharmacy | 2.23 (1.19) | |
| It is easier to abuse preparations | 4.24 (1.13) | |
| There is no control, so I can get products that I do not need or worsen my condition | 4.22 (1.06) | |
| I do not get proper information regarding the use of the products | 3.86 (1.06) | |
| Due to the delivery time, I'm getting the drug later compared to a pharmacy | 3.80 (1.15) | |
| The source of the product is not reliable | 3.78 (1.27) | |
| It is hard for me to choose between the great numbers of products | 3.70 (1.25) | |
| I do not get the right product | 3.65 (1.31) | |
| I receive counterfeit medicine | 3.61 (1.25) | |
| The quality of the product is lower compared than in local pharmacies | 3.20 (1.29) | |
The results of a correlation analysis between demographic factors, internet usage behavior, and prospective online drug purchase attitude.
| Parameter | Prospective online medication purchase attitude |
| Age | –0.28 |
| Average time spent on the internet | 0.31 |
| Internet purchase frequency in general | 0.37 |
| Settlement size | 0.07 |
| Level of education | 0.20 |
| Average income | 0.06 |
Summary of recent studies on the prevalence of purchasing drugs and dietary supplements online.
| Reference | Location (year of data collection) | Na | Sample population | Survey method | Respondents purchasing health products online (%) |
| Abanmy [ | Saudi Arabia (2013-2014) | 633 | Random sample of internet users | Online | 2.7 |
| Alfahad et al [ | Saudi Arabia (2014-2015) | 346 | Random sample of internet users | Online | 1.4 |
| Szekely et al [ | Romania (2010-2011) | 253 | Community pharmacy patients | Personally administered | 8.3 |
| Desai et al [ | USA (2007) | 5074 | Internet users | Data from HINTSb national dataset | 14.5 |
| Brown and Lee [ | USA (2002-2010) | 88,240 | Noninstitutionalized individuals | Data from MEPSc national dataset | 0.5d |
| Fittler et al [ | Hungary (2010-2011) | 422 | Hospital patients | Personally administered | 8.4 |
| Mazer et al [ | USA (2007) | 1657 | Emergency department patients | Personally administered | 5.4e |
aN refers to number of respondents.
bHINTS: Health Information National Trends Survey.
cMEPS: Medical Expenditure Panel Survey.
dRefers to prescription medication.
eRefers to medication in general.