Knowledge, Attitude and Practices of Self-Medication Including Antibiotics among Health Care Professionals during the COVID-19 Pandemic in Pakistan: Findings and Implications
Abstract
:1. Introduction
2. Results
3. Discussion
4. Materials and Methods
4.1. Study Design
4.2. Data Collection Tool and Data Procedure
- Section I: Comprised nine questions relating to the demographic details of the study population. This included their age, gender, residence, marital status, designation, level of education, working department in the hospital, institution type and working experience.
- Section II: Consisted of seven questions relating to their knowledge of self-medication. Each questions had three options: “yes”, “no” and “don’t know”, designed to assess the extent of their knowledge about the appropriate use of antibiotics.
- Section III: Consisted of seven questions to extract information about the attitude of self-education among HCWs. Study participants were requested to select one option in a 5-item Likert scale, with the 5 items ranging from strongly agree to strongly disagree, which is typically seen in such scales [143,144,145].
- Section IV: Consisted of three questions to assess the prevalence of self-medication among the HCWs taking part, their reasons for self-medication and any subsequent improvement in any of their symptoms as a result of self-medication
- Section V: Enlisted commonly used types of medicines for self-medication in viral diseases such as COVID-19. These included antibiotics, antiallergic, antipyretics and supplements potentially purchased by the HCWs. Potential choices of antibiotics were based on the experience of the co-authors supplemented with observing local practices. Hydroxychloroquine was not included with high-profile studies, showing no benefit and potential harm [31,37,146].
4.3. Inclusion and Exclusion Criteria
4.4. Data Analysis Including Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variables | N (%) |
---|---|
Age | |
<30 years | 486 (41.4) |
31–40 years | 364 (31.0) |
41–50 years | 183 (15.6) |
51–60 years | 140 (11.9) |
Gender | |
Male | 567 (48.3) |
Female | 606 (51.7) |
Residence | |
Urban | 816 (69.6) |
Rural | 357 (30.4) |
Marital status | |
Single/Divorced/Widow | 697 (59.4) |
Married | 476 (40.6) |
Occupation | |
Medical doctor | 374 (31.9) |
Pharmacist | 139 (11.8) |
Nurse | 329 (28.0) |
Lab technician | 84 (7.2) |
Physiotherapist | 18 (1.5) |
Health technician | 203 (17.3) |
Others | 26 (2.2) |
Education | |
Diploma | 549 (46.8) |
Bachelor’s degree | 512 (43.6) |
Post-graduation/specialization | 112 (9.5) |
Hospital | |
Tertiary | 150 (12.8) |
Secondary | 570 (48.6) |
Primary | 453 (38.6) |
Experience | |
1–3 years | 355 (30.3) |
4–7 years | 431 (36.7) |
8–12 years | 242 (20.6) |
>12 years | 145 (12.4) |
Variables | Subgroups | Mean Rank | Self-Medication Practice N (%) | ||
---|---|---|---|---|---|
Knowledge Score | Attitude Score | Yes | No | ||
Age | <30 years | 605.69 | 593.70 | 324 (41.9%) | 162 (40.6) |
31–40 years | 583.30 | 579.92 | 241 (31.1) | 123 (30.8) | |
41–50 years | 547.69 | 592.00 | 115 (14.9) | 68 (17.0) | |
51–60 years | 583.13 | 575.63 | 94 (12.1) | 46 (11.5) | |
p-value | 0.199 | 0.908 | 0.802 | ||
Gender | Male | 591.37 | 592.43 | 372 (48.1) | 195 (48.9) |
Female | 582.92 | 581.92 | 402 (51.9) | 204 (51.1) | |
p-value | 0.645 | 0.594 | 0.805 * | ||
Residence | Urban | 582.10 | 586.29 | 552 (71.3) | 264 (66.2) |
Rural | 598.20 | 588.62 | 222 (28.7) | 135 (33.8) | |
p-value | 0.419 | 0.914 | 0.071 * | ||
Occupation | Medical doctor | 776.84 | 570.93 | 239 (30.9) | 135 (33.8) |
Pharmacist | 731.27 | 601.06 | 80 (10.3) | 59 (14.8) | |
Nurse | 572.62 | 599.87 | 220 (28.4) | 109 (27.3) | |
Lab technician | 461.83 | 534.34 | 65 (8.4) | 19 (4.8) | |
Physiotherapist | 508.11 | 622.50 | 15 (1.9) | 3 (0.8) | |
Health technician | 264.81 | 618.18 | 137 (17.7) | 66 (16.5) | |
Others | 241.42 | 482.27 | 18 (2.3) | 8 (2.0) | |
p-value | <0.001 | 0.236 | 0.046 | ||
Education | Diploma | 456.53 | 594.79 | 376 (48.6) | 173 (43.4) |
Bachelor’s degree | 694.19 | 583.51 | 327 (42.2) | 185 (46.4) | |
Post-graduation/specialization | 736.53 | 564.75 | 71 (9.2) | 41 (10.3) | |
p-value | <0.001 | 0.660 | 0.236 | ||
Hospital | Tertiary | 575.62 | 609.43 | 98 (12.7) | 52 (13.0) |
Secondary | 606.91 | 588.08 | 377 (48.7) | 193 (48.4) | |
Primary | 565.71 | 578.21 | 299 (38.6) | 4154 (38.6) | |
p-value | 0.102 | 0.615 | 0.983 | ||
Experience | 1–3 years | 601.99 | 582.00 | 241 (31.1) | 114 (28.6) |
4–7 years | 600.69 | 596.65 | 279 (36.0) | 152 (38.1) | |
8–12 years | 545.58 | 585.99 | 152 (19.6) | 90 (22.6) | |
>12 years | 578.72 | 572.23 | 102 (13.2) | 43 (10.8) | |
p-value | 0.115 | 0.871 | 0.364 |
Sample 1–Sample 2 | Test Statistic | Std. Error | Std. Test Statistic | Sig. |
---|---|---|---|---|
Pairwise comparisons of occupation | ||||
Others—Health technicians | 23.387 | 65.434 | 0.357 | 0.721 |
Others—Laboratory personnel | 220.410 | 70.500 | 3.126 | 0.002 |
Others—Physiotherapist | 266.688 | 96.322 | 2.769 | 0.006 |
Others—Nurses | 331.197 | 63.996 | 5.175 | 0.000 |
Others—Pharmacist | 489.843 | 67.123 | 7.298 | 0.000 |
Others—Doctors | 535.421 | 63.713 | 8.404 | 0.000 |
Health technicians—Laboratory personnel | 197.023 | 40.754 | 4.834 | 0.000 |
Health technicians—Physiotherapist | 243.301 | 77.256 | 3.149 | 0.002 |
Health technicians—Nurses | 307.810 | 28.037 | 10.979 | 0.000 |
Health technicians—Pharmacist | 466.456 | 34.584 | 13.488 | 0.000 |
Health technicians—Doctors | 512.033 | 27.386 | 18.697 | 0.000 |
Laboratory personnel—Physiotherapist | −46.278 | 81.591 | −0.567 | 0.571 |
Laboratory personnel—Nurses | 110.787 | 38.402 | 2.885 | 0.004 |
Laboratory personnel—Pharmacist | 269.433 | 43.414 | 6.206 | 0.000 |
Laboratory personnel—Doctors | 315.010 | 37.930 | 8.305 | 0.000 |
Physiotherapist—Nurses | 64.509 | 76.042 | 0.848 | 0.396 |
Physiotherapist—Pharmacist | 223.155 | 78.691 | 2.836 | 0.005 |
Physiotherapist—Doctors | 268.732 | 75.804 | 3.545 | 0.000 |
Nurses—Pharmacist | 158.646 | 31.779 | 4.992 | 0.000 |
Nurses—Doctors | 204.224 | 23.745 | 8.601 | 0.000 |
Pharmacist—Doctors | 45.577 | 31.206 | 1.461 | 0.144 |
Pairwise comparisons of education categories | ||||
Diploma—Bachelor | −237.665 | 19.300 | −12.314 | 0.000 |
Diploma—Post-grad/Specialization | −279.999 | 32.571 | −8.597 | 0.000 |
Bachelor—Post-grad/Specialization | −42.334 | 32.769 | −1.292 | 0.196 |
N (%) | |
---|---|
Self-medication during COVID-19 * | |
Yes | 774 (66.0) |
No | 399 (34.0) |
Reason for self-medication? ** | |
Cold or flu | 216 (27.9) |
COVID-19 prevention | 324 (41.9) |
Suspected COVID symptoms | 160 (20.7) |
COVID-19 positive | 36 (4.7) |
Consuming regularly | 19 (2.5) |
Miscellaneous | 19 (2.5) |
Symptom improvement ** | |
All symptoms improved | 40 (5.1) |
Many symptoms improved | 326 (42.0) |
Some symptoms improved | 295 (38.0) |
One symptom improved | 89 (11.4) |
No improvement | 28 (3.6) |
Pharmacological Class | Individual Medicine | Overall N (%) |
---|---|---|
Antibiotics | Amoxicillin (J01CA04) | 215 (27.8) |
Co-amoxiclav (J01CR02) | 141 (18.2) | |
Azithromycin (J01FA10) | 272 (35.1) | |
Ciprofloxacin (J01MA02) | 106 (13.7) | |
Levofloxacin (J01MA12) | 78 (10.1) | |
Moxifloxacin (J01MA14) | 41 (5.3) | |
Cefixime (J01DD08) | 88 (11.4) | |
Erythromycin (J01FA01) | 84 (10.9) | |
Doxycycline (J01AA02) | 81 (10.5) | |
Antihistamines | Ebastine (R06AX22) | 49 (6.3) |
Fexofenadine (R06AX26) | 56 (7.2) | |
Cetirizine (R06AE07) | 85 (11.0) | |
Anthelmintics | Ivermectin (P02CF01) | 70 (9.0) |
Vitamins | Multivitamins | 254 (32.8) |
Vitamin C + Calcium | 314 (40.6) | |
Mineral supplements | Zinc supplement | 118 (15.2) |
Antipyretics | Paracetamol | 774 (100.0) |
Cough preparations | Cough preparations | 177 (22.8) |
Herbal medicines | -- | 84 (10.9) |
Others | -- | 51 (6.6) |
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Mustafa, Z.U.; Iqbal, S.; Asif, H.R.; Salman, M.; Jabbar, S.; Mallhi, T.H.; Khan, Y.H.; Sono, T.M.; Schellack, N.; Meyer, J.C.; et al. Knowledge, Attitude and Practices of Self-Medication Including Antibiotics among Health Care Professionals during the COVID-19 Pandemic in Pakistan: Findings and Implications. Antibiotics 2023, 12, 481. https://doi.org/10.3390/antibiotics12030481
Mustafa ZU, Iqbal S, Asif HR, Salman M, Jabbar S, Mallhi TH, Khan YH, Sono TM, Schellack N, Meyer JC, et al. Knowledge, Attitude and Practices of Self-Medication Including Antibiotics among Health Care Professionals during the COVID-19 Pandemic in Pakistan: Findings and Implications. Antibiotics. 2023; 12(3):481. https://doi.org/10.3390/antibiotics12030481
Chicago/Turabian StyleMustafa, Zia Ul, Shahid Iqbal, Hafiz Rahil Asif, Muhammad Salman, Sehar Jabbar, Tauqeer Hussain Mallhi, Yusra Habib Khan, Tiyani Milta Sono, Natalie Schellack, Johanna C. Meyer, and et al. 2023. "Knowledge, Attitude and Practices of Self-Medication Including Antibiotics among Health Care Professionals during the COVID-19 Pandemic in Pakistan: Findings and Implications" Antibiotics 12, no. 3: 481. https://doi.org/10.3390/antibiotics12030481
APA StyleMustafa, Z. U., Iqbal, S., Asif, H. R., Salman, M., Jabbar, S., Mallhi, T. H., Khan, Y. H., Sono, T. M., Schellack, N., Meyer, J. C., & Godman, B. (2023). Knowledge, Attitude and Practices of Self-Medication Including Antibiotics among Health Care Professionals during the COVID-19 Pandemic in Pakistan: Findings and Implications. Antibiotics, 12(3), 481. https://doi.org/10.3390/antibiotics12030481