| Literature DB >> 33917444 |
Damian Świeczkowski1, Szymon Zdanowski2, Piotr Merks3,4, Miłosz Jaguszewski1.
Abstract
BACKGROUND: In light of a falsified medications pandemic, understanding the patient perspective on falsified medicines is warranted. Our study aimed to investigate the perspectives regarding falsified medicines among patients with cardiovascular diseases.Entities:
Keywords: European Union; Falsified Medicines Directive; counterfeit medicine; falsified medicine; pharmacist; public health
Mesh:
Substances:
Year: 2021 PMID: 33917444 PMCID: PMC8038753 DOI: 10.3390/ijerph18073823
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Responses indicating a satisfactory level of knowledge.
| Responses Indicating the Satisfactory Level of Knowledge | |
|---|---|
| Question Four | |
| A falsified drug contains no active substance (API) or has an inappropriate amount of API. | definitely agree, agree |
| A falsified drug contains expired substances. | definitely agree, agree |
| A falsified drugs contains poisonous substances. | definitely agree, agree |
| A falsified drug contains an incorrect amount of API. | definitely agree, agree |
| Question Five | |
| The problem of drug counterfeiting does not exist in Poland. | I do not agree, definitely do not agree |
| One in a hundred medications in Poland is falsified. | definitely agree, agree |
| From a global perspective, 10% of all medicines are falsified drugs. | definitely agree, agree |
| Community pharmacies are the only place that ensures the secure purchasing of drugs and can guarantee that the drug has not been falsified. | definitely agree, agree |
| Purchasing drugs on the Internet is associated with a higher risk of receiving falsified drugs. | definitely agree, agree |
| I would be able to distinguish a falsified drug from a non-falsified one. | I do not agree, definitely do not agree |
| Question Six | |
| A falsified drug would not hurt, but it also would not help. | I do not agree, definitely do not agree |
| Falsified drugs can worsen the health status. | definitely agree, agree |
| A falsified drug is as safe as a non-falsified drug. | I do not agree, definitely do not agree |
| A falsified drug can kill. | definitely agree, agree |
| Question Seven | |
| Drugs accelerating weight loss | definitely agree, agree |
| Anabolic steroids | definitely agree, agree |
| Sexual enhancers | definitely agree, agree |
| Drugs lowering blood pressure | definitely agree, agree |
| Medications for diabetes | definitely agree, agree |
| Analgesics | definitely agree, agree |
| Antibiotics | definitely agree, agree |
| Antiplatelet and antithrombotic drugs | definitely agree, agree |
Figure 1(A) Gender of respondents. (B) Age of respondents. (C) The level of education.
Figure 2The chronic diseases among respondents (“I am not chronically ill” control group).
Figure 3Hospital admission in the previous 12 months due to chest pain or myocardial infarction (MI).
Figure 4The financial status of respondents.
Figure 5Falsified drugs in the opinion of respondents from the study and control group part 1.
Figure 6Falsified drugs in the opinion of respondents from study and control group part 2.
Figure 7Falsified drugs in the opinion of respondents from the study and control group part 3.
Figure 8The most frequently falsified medicines in the opinion of respondents summary (part 1).
Figure 9The most frequently falsified medicines in the opinion of respondents summary (part 2).
Question four—logistic regression model; two or more responses indicating the satisfactory level of knowledge.
| Estimator | Standard Error | z | ||
|---|---|---|---|---|
| Secondary/high school education | 0.01 | 0.21 | 0.03 | 0.97 |
| Higher education | 0.53 | 0.21 | 2.5 | 0.01 |
| Diabetes | 0.34 | 0.17 | 2 | 0.04 |
| Intercept | 0.92 | 0.19 | 4.9 | 0 |
Question five—logistic regression model; three or more responses indicating the satisfactory level of knowledge.
| Estimator | Standard Error | z | ||
|---|---|---|---|---|
| Cardiovascular diseases | −0.62 | 0.19 | −3.2 | 0 |
| Hospitalization | 0.64 | 0.33 | 1.9 | 0.05 |
| Intercept | 0.92 | 0.07 | 13 | 0 |
Question six—logistic regression model; two or more responses indicating the satisfactory level of knowledge.
| Estimator | Standard Error | z | ||
|---|---|---|---|---|
| Hypertension | 0.31 | 0.19 | 1.7 | 0.09 |
| Hospitalization | −0.54 | 0.33 | −1.6 | 0.1 |
| Financial situation—good | −0.03 | 0.24 | −0.14 | 0.89 |
| Financial situation—satisfactory | −0.19 | 0.24 | −0.79 | 0.43 |
| Financial situation—non-satisfactory | −1.2 | 0.31 | −4 | 0 |
| Intercept | 2 | 0.2 | 9.8 | 0 |
Question seven—logistic regression model; four or more responses indicating the satisfactory level of knowledge.
| Estimator | Standard Error | z | ||
|---|---|---|---|---|
| Gender—Male | 0.19 | 0.12 | 1.6 | 0.1 |
| Diabetes | 0.22 | 0.13 | 1.7 | 0.09 |
| Hospitalization | 0.41 | 0.26 | 1.5 | 0.12 |
| Intercept | −0.45 | 0.09 | −4.9 | 0 |
All questions—logistic regression model; eleven or more responses indicating the satisfactory level of knowledge.
| Estimator | Standard Error | z | ||
|---|---|---|---|---|
| Age 30–39 | 0.27 | 0.15 | 1.9 | 0.06 |
| Age 40–49 | 0.01 | 0.15 | 0.08 | 0.93 |
| Cardiovascular diseases | −0.45 | 0.19 | −2.3 | 0.02 |
| Hospitalization | 0.49 | 0.3 | 1.6 | 0.1 |
| Financial situation—good | 0.08 | 0.17 | 0.48 | 0.63 |
| Financial situation—satisfactory | −0.19 | 0.17 | −1.1 | 0.26 |
| Financial situation—non-satisfactory | −0.54 | 0.26 | −2.1 | 0.04 |
| Intercept | 0.68 | 0.16 | 4.2 | 0 |