| Literature DB >> 31856775 |
Wuraola Akande-Sholabi1, Rasaq Adisa2, Olayinka S Ilesanmi3, Ayomide E Bello2.
Abstract
BACKGROUND: Misuse and dependency of opioids especially codeine-containing products is of increasing global concern. Inappropriate use of opioids among healthcare students could affect quality of service and ethical conducts of these future professionals, thereby putting the society at risk. This study aimed to evaluate knowledge and perception of medical and pharmacy students in a Nigerian tertiary University on use of opioids with focus on codeine-containing products.Entities:
Keywords: Codeine-containing products; Dependency; Medical and pharmacy students; Opioids misuse
Mesh:
Substances:
Year: 2019 PMID: 31856775 PMCID: PMC6923991 DOI: 10.1186/s12889-019-8074-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Opioids-containing products used by respondents and distribution of demographic characteristics among opioids user and non-opioids users (n = 520)
| Variable | Using opioids | Not using opioids | Chi-square | |
|---|---|---|---|---|
| Gender | ||||
| Male | 73 (50.0) | 190 (50.8) | ||
| Female | 73 (50.0) | 184 (49.2) | 0.027 | 0.869 |
| Age (year) | ||||
| 16–20 | 43 (29.5) | 144 (38.5) | ||
| ≥ 20 | 103 (70.5) | 230 (61.5) | 3.735 | 0.053 |
| Level of study | ||||
| Year 1 | 5 (3.4) | 48 (12.8) | ||
| Year 2 | 36 (24.7) | 101 (27.0) | ||
| Year 3 | 55 (37.7) | 124 (33.2) | ||
| Year 5 | 50 (34.2) | 101 (27.0) | 9.092 | 0.003* |
| Faculty | ||||
| Medicine and surgery | 89 (61.0) | 246 (65.8) | ||
| Pharmacy | 57 (39.0) | 128 (34.2) | 1.063 | 0.303 |
| Opioids-containing products used by respondents Ψ ( | n (%) | |||
| Diphenhydramine+dextromethorphan (12.5 mg) with codeine cough syrup (Benylin®) | 91 (51.1) | |||
| Ammonium chloride+diphenyhydramine (14 mg) with codeine (10.9 mg) cough syrup (Emzolyn®) | 66 (37.1) | |||
| Paracetamol (500 mg) with codeine (8 mg) (Cocodamol®) | 8 (4.5) | |||
| Dextromethorphan + diphenhydramine with codeine (9 mg) cough syrup (Myasedyl®) | 6 (3.4) | |||
| Hydrocodone | 5 (2.8) | |||
| Oxycodone | 2 (1.1) | |||
Knowledge on use of opioid-containing products among respondents (n = 520)
| User of opioids-containing products | Non-user of opioids-containing products | |||
|---|---|---|---|---|
| Knowledge question | Correct answer | Wrong answer | Correct answer | Wrong answer |
| 1.Category of people who can use opioids (Answer: Adults and children) | 59 (40.4) | 87 (59.6) | 183 (48.9) | 191 (51.1) |
2.Category of people who cannot use opioid. (Answer: None of adults and children) | 4 (2.7) | 142 (97.3) | 8 (2.1) | 366 (97.9) |
3.Can opioid use lead to dependence/addiction (Answer: Yes) | 134 (91.8) | 12 (8.2) | 338 (90.4) | 36 (9.6) |
4.Addiction is defined as a chronic relaxing brain disease that is characterized by compulsive drug seeking and use despite harmful consequences. (Answer: Yes) | 143 (97.9) | 3 (2.1) | 357 (95.5) | 17 (4.5) |
5.Drug dependence is a medical term that refers to the state of craving a certain drug in order to function normally. (Answer: Yes) | 135 (92.5) | 11 (7.5) | 344 (92.0) | 30 (8.0) |
| Distribution of scores | Using opioids | Not using opioids | ||
| n = 146 | n = 374 | |||
| 0 | 0 (0.0) | 3 (100.0) | ||
| 1 | 1 (14.3) | 6 (85.7) | ||
| 2 | 13 (37.1) | 22 (62.9) | ||
| 3 | 81 (29.6) | 193 (70.4) | ||
| 4 | 50 (25.1) | 149 (74.9) | ||
| 5 | 1 (50.0) | 1 (50.0) | ||
| Cut-off score | Frequency (%) | Remark | ||
| < 4 (i.e. < 80%) | 95 (65.1) | 224 (59.8) | Poor knowledge | |
| ≥ 4 (i.e. ≥ 80%) | 51 (34.9) | 150 (40.1) | Good knowledge | |
| [X2 = 1.186 p-value = 0.276] | ||||
Respondents’ perception on the use of opioids-containing products (n = 520)
| Variable | SA | A | U | D | SD | 50thpercentile |
|---|---|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | n (%) | ||
| 1.Codeine/codeine containing products can be abused | 399 (76.7) | 103 (19.8) | 9 (1.7) | 3 (0.6) | 6 (1.2) | 5 |
| 2.Codeine abuse/misuse can lead to dependency | 397 (76.3) | 115 (22.1) | 7 (1.6) | 0 (0.0) | 1 (0.2) | 5 |
| 3.Codeine abuse/misuse can affect psychological well-being | 355 (68.3) | 141 (27.1) | 19 (3.7) | 4 (0.8) | 1 (0.2) | 5 |
| 4.Codeine abuse/misuse can lead to neurological side effects | 332 (63.8) | 146 (28.1) | 37 (7.1) | 4 (0.8) | 1(0.2) | 5 |
| 5.Codeine abuse/misuse can lead to socially unacceptable behaviour | 336 (64.6) | 147 (28.3) | 26 (5.0) | 11 (2.1) | 0 (0.0) | 5 |
| 6.Codeine abuse/misuse can affect pattern of spending | 278 (53.5) | 161 (31.0) | 66 (12.7) | 13 (2.5) | 2 (0.4) | 5 |
| 7.Codeine abuse/misuse can result in accidental overdose | 295 (56.7) | 185 (35.6) | 34 (6.5) | 5 (1.0) | 1(0.2) | 5 |
| 8.Codeine abuse/misuse can result in life-threatening withdrawal symptoms | 295 (56.7) | 185 (35.6) | 34 (6.5) | 5 (1.0) | 1(0.2) | 5 |
| 9.Codeine abuse/misuse can cause reduced fertility in males and females | 129 (24.8) | 76 (14.6) | 299 (57.5) | 16 (3.1) | 0 (0.0) | 3 |
| Cut-off score | Using opioids (n = 146) | Not using opioids (n = 374) | Remark | |||
| < 36 (i.e. < 80%) | 16 (11.0) | 35 (9.4) | Poor perception of risks | |||
| ≥ 36 (i.e. ≥ 80%) | 130 (89.0) | 339 (90.6) | Good perception of risks | |||
| [X2 = 0.304 p-value = 0.508] | ||||||
Association between relevant demographic characteristics and overall knowledge and perception scores on use of opioids-containing products (n = 520)
| Variable | Perception of risks, n (%) | Knowledge of use, n (%) | ||
|---|---|---|---|---|
| Good (score ≥ 80%) | Poor (score < 80%) | Good (score ≥ 80%) | Poor (score < 80%) | |
| Age (years) | ||||
| 16–20 | 167 (89.3) | 20 (10.7) | 88 (47.1) | 99 (52.9) |
| ≥ 20 | 302 (90.7) | 31 (9.3) | 113 (33.9) | 220 (66.1) |
| [X2 = 0.260 | [X2 = 8.699 | |||
| Gender | ||||
| Male | 235 (89.4) | 28 (10.6) | 93 (35.4) | 170 (64.6) |
| Female | 234 (91.1) | 23 (8.9) | 108 (42.0) | 149 (58.0) |
| [X2 = 0.423 p-value = 0.515] | [X2 = 2.433 p-value = 0.119] | |||
| Faculty | ||||
| Pharmacy | 171 (92.4) | 14 (7.6) | 87 (47.0) | 98 (53.0) |
| Medicine and surgery | 298 (89.0) | 37 (11.0) | 114 (34.0) | 221 (66.0) |
| [X2 = 1.629 | [X2 = 8.490 | |||
*Significance difference with Chi-square (X2) test, level of significance, p < 0.05
Predictors of misuse/abuse of opioids-containing products among opioid users (n = 146)
| Variable | Misused/abused of | Unadjusted Odds ratio | Adjusted Odds ratio | |||
|---|---|---|---|---|---|---|
| OR (95% CI) | AOR (95% CI) | |||||
| Yes | No | |||||
| Experienced some side effects I will like to experience again | ||||||
| Yes | 10 (62.5) | 12 (9.2) | 16.39 (5.07–52.99) | < 0.001 | 22.1 (5.98–81.72) | < 0.001* |
| No | 6 (37.5) | 118 (90.8) | 1 | 1 | ||
| Pressured into using codeine-containing product | ||||||
| Yes | 3 (18.8) | 4 (3.1) | 7.27 (1.47–36.08) | 0.015 | 10.58 (1.36–82.39) | 0.024* |
| No | 13 (81.2) | 126 (96.9) | 1 | 1 | ||
| Need to use regular dose of these products to function well daily | ||||||
| Yes | 2 (12.5) | 3 (2.3) | 6.05 (0.93–39.33) | 0.06 | 3.42 (0.32–95.46) | 0.309 |
| No | 14 (87.5) | 127 (97.7) | 1 | 1 | ||
*Significant difference with binary logistic regression, level of significance, p < 0.05