| Literature DB >> 35942588 |
Jafer Siraj1, Abzayou Gebre2, Miftah Shafi1, Abdella Birhan3, Fikadu Ejeta1, Solomon Hambisa3.
Abstract
There is a paucity of evidence-based information regarding healthcare professionals' awareness and views toward counterfeit medicines in developing countries. Therefore; this is aimed to assess health care providers' knowledge, attitude, and practice toward counterfeit medicines in Mizan-Tepi University Teaching Hospital, South West Ethiopia. A cross-sectional study was conducted among health care providers working in Mizan-Tepi University Teaching Hospital from December 2020 to January 2021. A total of 171 health care providers participated in the study. Data were collected through self-administered structured questionnaires developed by reviewing similar surveys with some modifications. The data analyzed using a Statistical Package for Social Sciences (SPSS, version 21). Variables with P value <.05 were considered as statistically significant. Large proportions of the study participants (84.2%) have information on counterfeit drugs and 15.8% of them described counterfeit medicine as product with toxic impurities. 50.3% of them were able to distinguish a counterfeit drug from the genuine drug. 8.2% of the participants demonstrated that counterfeit medicine can be identified by physical observation of labeling, color appearance and packaging. 61.4% of the study respondents revealed that strong legal action can prevent circulation of counterfeit medicine. Professional distribution was significantly associated with the attitude of health care providers toward counterfeit medicines (P < .05). Accordingly, public health officers and midwifery health care providers were more likely to have poor attitude toward counterfeit medicines (AOR = 6.09, CI (1.798-20.69) and (AOR = 3.98(1.54-10.25)) respectively as compared to nurses. This study demonstrated the importance of awareness creation to all health care providers. Drug regulatory bodies and concerning bodies must play an active role in designing appropriate program and policy to enhance health professionals' knowledge and attitude toward CFM. There is also a need of empowering the practitioners in identifying counterfeit drugs by simple observations.Entities:
Keywords: Ethiopia; Mizan-Tepi University Teaching Hospital; attitude; counterfeit medicines; cross-sectional study; health care provider’s; knowledge; practice
Mesh:
Substances:
Year: 2022 PMID: 35942588 PMCID: PMC9373182 DOI: 10.1177/00469580221108335
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 2.099
Demographic Profile of the Participated Health Care Providers’ in Mizan-Tepi University Teaching Hospital From December 2020 to January 2021.
| Demographic variable | Frequency (%) | |
|---|---|---|
| Sex | Male | 98 (57.3) |
| Female | 73 (42.7) | |
| Marital status | Single | 82 (48.0) |
| Married | 82 (48.0) | |
| Divorced | 1 (0.6) | |
| Widowed | 6 (3.5) | |
| Professional distribution | Pharmacy professional | 19 (11.1) |
| Public health officer | 17 (9.9) | |
| Physician | 13 (7.6) | |
| Midwife | 27 (15.8) | |
| Nurse | 99 (55) | |
| Others | 1(0.6) | |
| Religion | Orthodox | 81 (47.4) |
| Protestant | 65 (38.0) | |
| Catholic | 5 (2.9) | |
| Muslims | 20 (11.7) | |
| Ethnicity | Bench | 45 (26.3) |
| Oromo | 50 (29.2) | |
| Amhara | 63 (36.8) | |
| Keffa | 3 (1.8) | |
| Others | 10 (5.9) | |
| Year of service | <1 year | 21 (12.28) |
| 1-2 years | 49(28.65) | |
| 2-3 years | 48(28.07) | |
| ≥4 years | 53(30.99) | |
Psychiatry. **Sheko, Shekka, Dawuro.
Health Care Provider’s knowledge Toward Counterfeit Medicines in Mizan-Tepi University Teaching Hospital From December 2020 to January 2021.
| Knowledge toward counterfeit drugs | Number | Percentage | |
|---|---|---|---|
| Having any information on counterfeit medicines | Yes | 144 | 84.2 |
| No | 27 | 15.8 | |
| Description about CFM | Medicine with correct packaging but with incorrect identity or quantity of active ingredient | 112 | 65.5 |
| Medicine with fake packaging but correct identity and quantity of active ingredient | 18 | 10.5 | |
| Products with toxic impurities | 27 | 15.8 | |
| Medicine with fake packaging and active ingredient | 5 | 2.9 | |
| Medicine with both correct packaging but incorrect identity or quantity of active ingredient and products with toxic and impurities | 1 | 0.6 | |
| Medicine with correct packaging but with incorrect identity or quantity of active ingredient, products with toxic and impurities and products with toxic and impurities | 2 | 1.2 | |
| All | 1 | 0.6 | |
| None | 5 | 2.9 | |
| Source of information on counterfeit medicines | Education and Media | 70 | 40.9 |
| Education | 3 | 1.8 | |
| Working area | 13 | 7.6 | |
| Media | 78 | 45.6 | |
| Friends | 3 | 1.8 | |
| Others | 4 | 2.3 | |
| Problem associated with a counterfeit medicines/unregistered drug in the market | Efficacy problem and Safety problem | 9 | 5.9 |
| Efficacy problem | 46 | 26.9 | |
| Efficacy, Safety and Economic problem | 9 | 5.3 | |
| Safety problem | 92 | 53.8 | |
| Safety problem and Economic problem | 2 | 1.2 | |
| Economic problem | 10 | 5.8 | |
| No problem | 1 | 0.6 | |
| All | 2 | 1.2 | |
Practices of Health Care Providers Toward Counterfeit Medicines in Mizan-Tepi University Teaching Hospital From December 2020 to January 2021.
| Practice toward counterfeit drugs | Frequency | Percentage | |
|---|---|---|---|
| Do you think you are able to distinguish a counterfeit drug from the genuine medicine? | Yes | 86 | 50.3 |
| No | 85 | 49.7 | |
| Ways of identifying counterfeit medicines | Not able to identify | 83 | 48.5 |
| By physical observation | 14 | 8.2 | |
| By physical observation and lack of effectiveness | 1 | 0.6 | |
| By its unexpected side effects | 10 | 5.8 | |
| By lack of effectiveness | 23 | 13.5 | |
| All of the above | 40 | 23.4 | |
| Do you think the actions taken against counterfeit drugs are strong enough to stop you from buying these medicines? | Yes | 105 | 61.4 |
| No | 66 | 38.6 | |
| Methods to combat counterfeit medicines | No | 41 | 24.0 |
| Technological tools | 20 | 11.7 | |
| Capacitating drug regulatory bodies | 28 | 16.4 | |
| Creating public awareness | 18 | 10.5 | |
| All of the above | 64 | 37.4 | |
| If you encounter a counterfeit drug, would you like to report it? | Yes | 147 | 86.0 |
| No | 24 | 14.0 | |
Health Care Providers’ Attitude Toward Counterfeit Medicines in Mizan-Tepi University Teaching Hospital From December 2020 to January 2021.
| Provider’s attitude toward counterfeit medicines | Strongly agree (%) | Agree (%) | Neutral (%) | Disagree (%) | Strongly disagree (%) |
|---|---|---|---|---|---|
| Dispensing and prescribing unregistered/counterfeit medicine is unethical | 72 (42.1) | 48 (28.1) | 42 (24.6) | 4 (2.3) | 5 (2.9) |
| Dispensing and prescribing unregistered/counterfeit medicine is illegal | 53 (31.0) | 87 (50.9) | 19 (11.1) | 9 (5.3) | 3 (1.8) |
| There is no difference in efficacy between counterfeit medicine and their genuine counterparts | 12 (7.0) | 38 (22.2) | 36 (21.1) | 49 (28.7) | 36 (21.1) |
| It is assumed that using CFM is cost effective | 9 (5.3) | 29 (17.0) | 39 (22.8) | 54 (31.6) | 40 (23.4) |
| Consumption of counterfeit medicine is as safe as consumption of genuine original drugs | 9 (5.3) | 28 (16.4) | 30 (17.5) | 53 (31.0) | 51 (29.8) |
| There is high probability that unregistered drugs may not work | 42 (24.6) | 59 (34.5) | 44 (25.7) | 12 (7.0) | 14 (8.2) |
Factors Associated With Attitude of Health Care Provider’s Toward Counterfeit Medicines in Mizan-Tepi University Teaching Hospital From December 2020 to January 2021.
| Variables | Attitude category | AOR (95% CI) | ||
|---|---|---|---|---|
| Good attitude (%) | Poor attitude (%) | |||
| Sex | ||||
| Male | 40 (40.82) | 58 (59.18) | 0.89 (0.44-1.80) | .757 |
| Female | 35 (48) | 38 (52) | 1.00 | |
| Marital status | ||||
| Single | 34 (41.46) | 48 (58.54) | 0.70 (0.48-1.67) | 1.352 |
| Married | 38 (46.34) | 44 (53.66 | 5.69 (0.92-17.75) | .889 |
| Divorced | 1 (100) | 0 (0.00) | 1.69 (0.64-3.32) | 1.957 |
| Widowed | 2 (33.33) | 4 (66.67) | 1.00 | |
| Professional distribution | ||||
| Pharmacy professional | 13 (68.42) | 6 (31.58) | 0.74 (0.23-2.39) | .609 |
| Public Health Officer | 8 (47.06) | 9 (52.94) | 6.09 (1.79-20.69) | .004* |
| Physician | 5 (35.71) | 9 (64.29) | 0.67 (0.16-2.69) | .572 |
| Midwife | 10 (37.04) | 17 (62.96) | 3.98 (1.54-10.29) | .003* |
| Nurse | 39 (41.49) | 55 (58.51) | 1.00 | |
| Years of service | ||||
| <1 year | 8 (39) | 13 (61) | 1.34 (0.31-5.60) | .702 |
| 1-2 years | 21 (42.86) | 28 (57.14) | 1.32 (0.42-4.17) | .633 |
| 2-3 years | 23 (47.92) | 25 (52.08) | 0.98 (0.31-3.12) | .971 |
| ≥4 years | 23 (43.40) | 30 (56.60) | 1.00 | |