| Literature DB >> 35502433 |
Iman A Basheti1, Razan Nassar2, Feras El-Hajji3, Bayan Othman4, Kinda T Alkoudsi5, Zaid Al-Ani6.
Abstract
Objectives: To assess pharmacists from Syria and Iraq on their knowledge, readiness, and perspectives on their roles during the COVID-19 pandemic. In addition to investigate pharmacists' perceived barriers towards delivering their emergency roles during the COVID-19 pandemic and perceived policymakers' responsibilities.Entities:
Keywords: Coronavirus; Iraq; Pandemics; Pharmaceutical associations; Pharmacists; Syria
Year: 2022 PMID: 35502433 PMCID: PMC9014893 DOI: 10.18549/PharmPract.2022.1.2585
Source DB: PubMed Journal: Pharm Pract (Granada) ISSN: 1885-642X
Demographic characteristics of the study participants (pharmacy graduates and technicians, and pharmacy students) from Iraq and Syria
| Parameter | Iraq | Syria | ||||
|---|---|---|---|---|---|---|
| Students | Graduates and technicians | Total | Students | Graduates and technicians | Total | |
|
| 301 | 176 |
| 122 | 317 |
|
|
| 20.6 (1.8) | 25.6 (4.9) |
| 22.3 (2.5) | 31.2 (9.5) |
|
|
| ||||||
| • Female | 209 (69.4) | 83 (47.2) |
| 97 (79.5) | 219 (69.1) |
|
| • Male | 92 (30.6) | 93 (52.8) |
| 25 (20.5) | 98 (30.9) |
|
|
| ||||||
| • Married | 4 (1.3) | 40 (22.7) |
| 10 (8.2) | 135 (42.6) |
|
| • Not married | 297 (98.7) | 136 (77.3) |
| 112 (91.8) | 182 (57.4) |
|
|
| 1 (0.3) | 27 (15.3) |
| 4 (3.3) | 102 (32.2) |
|
|
| ||||||
| • Student | 301 (100.0) | 0 |
| 122 (100.0) | 0 |
|
| • Diploma | 0 | 8 (4.5) |
| 0 | 11 (3.5) |
|
| • B. Pharm or Pharm. D | 0 | 161 (91.5) |
| 0 | 267 (84.2) |
|
| • Masters | 0 | 4 (2.3) |
| 0 | 37 (11.7) |
|
| • PhD. | 0 | 3 (1.7) |
| 0 | 2 (0.6) |
|
|
| ||||||
| • Pharmacy owner | 0 | 13 (7.4) |
| 0 | 94 (29.7) |
|
| • Pharmacy employee | 0 | 36 (20.5) |
| 0 | 87 (27.4) |
|
| • Hospital pharmacist | 0 | 33 (18.8) |
| 0 | 11 (3.5) |
|
| • Pharmacy trainee | 0 | 35 (19.9) |
| 0 | 13 (4.1) |
|
| • Academic | 0 | 2 (1.1) |
| 0 | 18 (5.7) |
|
| • Pharmacy undergraduate student | 301 (100.0) | 0 |
| 122 (100.0) | 0 |
|
| • Postgraduate student | 0 | 35 (19.9) |
| 0 | 20 (6.3) |
|
| • Other | 0 | 22 (12.5) |
| 0 | 74 (23.3) |
|
|
| N/A | N/A | ||||
| • 0-5 years ago | 152 (86.4) | 183 (57.7) | ||||
| • 6-15 years ago | 16 (9.1) | 80 (25.2) | ||||
| • 16-25 years ago | 5 (2.8) | 34 (10.7) | ||||
| • More than 25 years ago | 3 (1.7) | 20 (6.3) | ||||
|
| N/A | N/A | ||||
| • 0-5 years | 152 (86.4) | 197 (62.1) | ||||
| • 6-10 years | 11 (6.3) | 48 (15.1) | ||||
| • 11-15 years | 6 (3.4) | 19 (6.0) | ||||
| • 16-20 years | 5 (2.8) | 19 (6.0) | ||||
| • 21-25 years | 1 (0.6) | 14 (4.4) | ||||
| • More than 25 years | 1 (0.6) | 20 (6.3) | ||||
|
| ||||||
| • 0 | 167 (55.5) | 73 (41.5) |
| 47 (38.5) | 138 (43.5) |
|
| • 1 | 53 (17.6) | 38 (21.6) |
| 35 (28.7) | 56 (17.7) |
|
| • 2 | 37 (12.3) | 31 (17.6) |
| 25 (20.5) | 56 (17.7) |
|
| • 3 | 17 (5.6) | 13 (7.4) |
| 8 (6.6) | 34 (10.7) |
|
| • 4 | 7 (2.3) | 7 (4.0) |
| 1 (0.8) | 7 (2.2) |
|
| • 5 | 2 (0.7) | 3 (1.7) |
| 1 (0.8) | 9 (2.8) |
|
| • More than 5 | 18 (6.0) | 11 (6.3) |
| 5 (4.1) | 17 (5.4) |
|
|
| ||||||
| • Public university | 142 (47.2) | 77 (43.8) |
| 43 (35.2) | 205 (64.7) |
|
| • Private university | 153 (50.8) | 93 (52.8) |
| 78 (63.9) | 104 (32.8) |
|
| • Others | 6 (2.0) | 6 (3.4) |
| 1 (0.8) | 8 (2.5) |
|
Study participants previous education (by country) on epidemics/pandemics and updates regarding coronavirus management
| Parameter | Iraq | Syria | p-value |
|---|---|---|---|
| Yes, n (%) | Yes, n (%) | (Fisher’s Exact Test) | |
|
| 145 (30.4) | 148 (33.7) | 0.288 |
|
| 410 (86.0) | 419 (95.4) |
|
Statistical significance when p ≤0.05.
Study participants previous education (graduates vs students) on epidemics/pandemics and updates regarding coronavirus management
| Parameter | Pharmacy graduates and pharmacy technicians | Pharmacy undergraduate students | p-value |
|---|---|---|---|
| Yes, n (%) | Yes, n (%) | (Fisher’s Exact Test) | |
|
| 158 (32.0) | 135 (31.9) | 1.000 |
|
| 466 (94.5) | 363 (85.8) |
|
Statistical significance when p ≤0.05.
Figure 1Source of knowledge about epidemics/pandemics among the study participants (by country)
Figure 2Source of knowledge about epidemics/pandemics among the study participants (pharmacy graduates & technicians vs. pharmacy students)
Figure 3Sources of information about coronavirus management among the study participants (by country)
Figure 4Sources of information about coronavirus management among the study participants (pharmacy graduates & technicians vs. pharmacy students)
Study participants knowledge scores (out of 20)
| Iraq | Syria | p-value | Pharmacy graduates and pharmacy technicians | Pharmacy undergraduate students | p-value | |
|---|---|---|---|---|---|---|
|
| 12.2 (2.5) | 14.1 (2.1) | < 0.001 | 14.1 (2.2) | 12.1 (2.4) | < 0.001 |
Statistically significant difference (2-tailed t-test).
Assessment of study participants’ knowledge about the coronavirus pandemic
| Statement | Correct answer, n (%) | |||||
|---|---|---|---|---|---|---|
| Iraq | Syria | p-value | Pharmacy graduates and pharmacy technicians | Pharmacy undergraduate students | p-value | |
| One way of transmission of Coronavirus is respiratory droplets from person to person among close contacts. | 444 (93.1) | 421 (95.9) | 0.083 | 477 (96.8) | 388 (91.7) |
|
| Coronavirus can be transmitted after touching surfaces that were contaminated with the virus. | 464 (97.3) | 421 (95.9) | 0.276 | 474 (96.1) | 411(97.2) | 0.465 |
| Non-steroidal anti-inflammatory drugs such as Ibuprofen decrease the risk of complications when there is an infection. | 250 (52.4) | 392 (89.3) |
| 423 (85.8) | 219 (51.8) |
|
| Fevers/ dry cough/ shortness of breath are associated with Coronavirus. | 471 (98.7) | 437 (99.5) | 0.290 | 489 (99.2) | 419 (99.1) | 1.000 |
| Muscle aches and GI symptoms (nausea/ vomiting/ diarrhea) are not associated with Coronavirus. | 221 (46.3) | 328 (74.7) |
| 338 (68.6) | 211 (49.9) |
|
| Handwashing with soap and water for 20 seconds is enough to clean the hands and protect from spreading the infection. | 398 (83.4) | 382 (87.0) | 0.137 | 432 (87.6) | 348 (82.3) |
|
| Steroids do not increase the susceptibility to Coronavirus infection. | 148 (31.0) | 233 (53.1) |
| 269 (54.6) | 112 (26.5) |
|
| Generally, the use of autoimmune disease medications increases the susceptibility to contract Coronavirus infection. | 202 (42.3) | 251 (57.2) |
| 291 (59.0) | 162 (38.3) |
|
| Hydroxychloroquine can be used as a preventative therapy against Coronavirus infection. | 168 (35.2) | 304 (69.2) |
| 315 (63.9) | 157 (37.1) |
|
| Azithromycin can be used along with Hydroxychloroquine in the management of the Coronavirus infection. | 215 (45.1) | 346 (78.8) |
| 380 (77.1) | 181 (42.8) |
|
| Oseltamivir cannot be used in the management of Coronavirus infection. | 90 (18.9) | 172 (39.2) |
| 215 (43.6) | 47 (11.1) |
|
| Protein calorie malnutrition impairs host immunity (particularly the T-cell system) resulting in increased opportunistic infection. | 381 (79.9) | 341 (77.7) | 0.420 | 375 (76.1) | 347 (82.0) |
|
| Patients should eat food that contains Vitamin C and D to boost their immunity. | 467 (97.9) | 416 (94.8) |
| 471 (95.5) | 412 (97.4) | 0.156 |
| Eating food like mushrooms and garlic is beneficial for the immune system. | 391 (82.0) | 331 (75.4) |
| 376 (76.3) | 346 (81.8) |
|
| Exercise causes antibodies and white blood cells to circulate in the body more rapidly detecting infections at an early stage. | 325 (68.1) | 199 (45.3) |
| 243 (49.3) | 281 (66.4) |
|
| The brief rise in body temperature during and right after exercise increases bacterial growth, which will lower the body’s ability to fight the infection. | 272 (57.0) | 335 (76.3) |
| 360 (73.0) | 247 (58.4) |
|
| Not smoking and decreasing stress help support the immune system. | 455 (95.4) | 434 (98.9) |
| 481 (97.6) | 408 (96.5) | 0.335 |
| Sunlight activates T-helper cells hence boosts immunity. | 390 (81.8) | 276 (62.9) |
| 345 (70.0) | 321 (75.9) | 0.053 |
| You need to keep a distance of at least 3 meters (10 feet) when counseling patients during a pandemic. | 36 (7.5) | 95 (21.6) |
| 88 (17.8) | 43 (10.2) |
|
| The highest risk patients in contracting Coronavirus are elderly (> 65), immune-compromised and children under the age of nine. | 50 (10.5) | 91 (20.7) |
| 99 (20.1) | 42 (9.9) |
|
Figure 5Study participants’ perceptions about the current role of the faculties of pharmacies, pharmacists’ associations and societies, and pharmacists’ role to deal with epidemics/ pandemics and Coronavirus specifically (n= 916)