| Literature DB >> 33550698 |
Iman A Basheti1, Feras El-Hajji1, Razan Nassar1, Samar Thiab2, Muna Barakat1, Mariam Basheti3, Alberto Berardi4, Bandana Saini3.
Abstract
BACKGROUND: The coronavirus disease (COVID-19) was declared in January 2020 as a public health emergency of international concern. The Middle East and North Africa (MENA) suffered from several pandemics previously. Pharmacists have vital roles to play to prevent the spread of this virus.Entities:
Mesh:
Year: 2021 PMID: 33550698 PMCID: PMC7995131 DOI: 10.1111/ijcp.14074
Source DB: PubMed Journal: Int J Clin Pract ISSN: 1368-5031 Impact factor: 3.149
FIGURE 1Study process showing the five sections of the online survey used in this study
Demographic characteristics of the study sample (n = 2589) at baseline
| Parameter | Mean (SD) | n (%) |
|---|---|---|
| Age, mean (SD) | 29.3 (8.2) | |
| Gender, n (%) | ||
| Female | 1329 (51.5) | |
| Male | 1251 (48.5) | |
| Marital status, n (%) | ||
| Married | 1187 (46.0) | |
| Not married | 1391 (54.0) | |
| Having children | 1060 (41.3) | |
| Country of residency | ||
| Egypt | 819 (40.8) | |
| East Mediterranean countries and Iraq | 638 (31.8) | |
| Jordan | 274 (13.7) | |
| Syria | 184 (9.2) | |
| Palestine | 96 (4.8) | |
| Iraq | 60 (3.0) | |
| Lebanon | 24 (1.2) | |
| North Africa | 373 (18.6) | |
| Algeria | 258 (12.9) | |
| Libya | 51 (2.5) | |
| Morocco | 45 (2.2) | |
| Tunisia | 15 (0.7) | |
| Mauritania | 4 (0.2) | |
| Gulf countries | 102 (5.1) | |
| Saudi Arabia (KSA) | 64 (3.2) | |
| United Arab Emirates (UAE) | 15 (0.7) | |
| Qatar | 13 (0.6) | |
| Kuwait | 5 (0.2) | |
| Oman | 4 (0.2) | |
| Bahrain | 1 (<0.1) | |
| Other Arab countries | 74 (3.7) | |
| Yemen | 35 (1.7) | |
| Sudan | 34 (1.7) | |
| Somalia | 2 (0.1) | |
| Djibouti | 2 (0.1) | |
| Comoros | 1 (<0.1) | |
| Living area | ||
| Capital city | 524 (20.3) | |
| Urban area | 1550 (60.1) | |
| Rural area | 505 (19.6) | |
| Educational level | ||
| Student | 666 (25.8) | |
| Diploma | 87 (3.4) | |
| B. Pharm | 756 (39.3) | |
| Pharm. D | 890 (34.5) | |
| Masters | 137 (5.3) | |
| PhD. | 43 (1.7) | |
| Employment | ||
| Pharmacy owner | 317 (12.3) | |
| Pharmacy employee | 506 (19.6) | |
| Hospital pharmacist | 324 (12.6) | |
| Pharmacy trainee | 156 (6.0) | |
| Academic | 110 (4.3) | |
| Pharmacy student | 743 (28.8) | |
| Others | 423 (16.4) | |
| Graduation years | ||
| I am still a student | 896 (34.7) | |
| 1‐5 y ago | 618 (24.0) | |
| 6‐15 y ago | 757 (29.4) | |
| 16‐25 y ago | 260 (10.1) | |
| More than 25 y ago | 48 (1.9) | |
| Years of experience | ||
| 1‐5 y | 1635 (63.8) | |
| 6‐10 y | 380 (14.8) | |
| 11‐15 y | 282 (11.0) | |
| 16‐20 y | 185 (7.2) | |
| 21‐25 y | 42 (1.6) | |
| More than 25 y | 37 (1.4) | |
| Number of attended educational workshops in the last year | ||
| 0 | 1113 (43.2) | |
| 1 | 495 (19.2) | |
| 2 | 392 (15.2) | |
| 3 | 248 (9.6) | |
| 4 | 70 (2.7) | |
| 5 | 53 (2.1) | |
| More than 5 | 204 (7.9) | |
| University | ||
| Public university | 1951 (75.7) | |
| Private university | 553 (21.5) | |
| Others | 74 (2.9) |
FIGURE 2Study participants (n = 2589) awareness of pandemics and updates about coronavirus treatment based on region
FIGURE 3Sources of information about coronavirus treatment amongst the study participants (n = 2589)
COVID‐19 statistics of cases and deaths in the beginning and end of the study period (12th to 22nd of April 2020) for the Arab countries that have had at least one case at the beginning of the study
| Country | Mean awareness score | Confirmed COVID‐19 15th Mar 2020 | Confirmed COVID‐19 cases 1st Apr 2020 | Confirmed COVID‐19 cases 15th Apr 2020 | |||
|---|---|---|---|---|---|---|---|
| Cases | Deaths | Cases | Deaths | Cases | Deaths | ||
| Jordan | 13.7 | 6 | 0 | 274 | 1 | 397 | 7 |
| Egypt | 13.9 | 110 | 2 | 710 | 46 | 2350 | 178 |
| Lebanon | 15.0 | 99 | 3 | 479 | 12 | 658 | 21 |
| Palestine | 14.2 | 38 | 0 | 134 | 1 | 291 | 2 |
| Algeria | 13.7 | 49 | 3 | 584 | 35 | 2070 | 326 |
| Iraq | 13.0 | 124 | 9 | 694 | 50 | 1415 | 79 |
| Saudi Arabia | 13.7 | 103 | 0 | 1720 | 16 | 5862 | 79 |
| Morocco | 13.4 | 28 | 1 | 638 | 37 | 1988 | 127 |
| UAE | 14.3 | 98 | 0 | 664 | 6 | 4933 | 28 |
| Qatar | 14.1 | 337 | 0 | 781 | 2 | 3711 | 7 |
| Oman | 15.5 | 22 | 0 | 210 | 1 | 910 | 4 |
| Tunisia | 14.5 | 18 | 0 | 394 | 10 | 747 | 34 |
| Mauritania | 11.3 | 1 | 0 | 5 | 0 | 7 | 1 |
| Sudan | 13.8 | 1 | 1 | 7 | 2 | 32 | 5 |
| Kuwait | 13.8 | 112 | 0 | 317 | 0 | 1405 | 3 |
| Bahrain | 10.0 | 214 | 0 | 569 | 4 | 1671 | 7 |
Significant correlation (2‐tailed) with mean awareness score, P = .026, Pearson correlation = −0.054.
Proportion of participants (n = 2006) who answered correctly each of the awareness questions, comparing the MENA countries
| Statement | Correct answer, n (%) | ||||||
|---|---|---|---|---|---|---|---|
| Total | East Mediterranean and Iraq | Egypt | North Africa | Gulf countries | Other Arab countries |
| |
| n = 2006 | n = 638 | n = 819 | n = 373 | n = 102 | n = 74 | ||
| One way of transmission of coronavirus is respiratory droplets from person to person amongst close contacts | 1940 (96.7) | 602 (94.4) | 803 (98.0) | 367 (98.4) | 99 (97.1) | 69 (93.2) |
|
| Coronavirus can be transmitted after touching surfaces that were contaminated with the virus | 1925 (96.0) | 611 (95.8) | 793 (96.8) | 352 (94.4) | 99 (97.1) | 70 (94.6) | .314 |
| Non‐steroidal anti‐inflammatory drugs such as Ibuprofen decrease the risk of complications when there is an infection | 1610 (80.3) | 497 (77.9) | 656 (80.1) | 319 (85.5) | 89 (87.3) | 49 (66.2) |
|
| Fevers/Dry cough/Shortness of breath are associated with coronavirus | 1991 (99.3) | 636 (99.7) | 813 (99.3) | 368 (98.7) | 102 (100.0) | 72 (97.3) | .093 |
| Muscle aches and GI symptoms (nausea/vomiting/diarrhoea) are not associated with coronavirus. | 1285 (64.1) | 416 (65.2) | 478 (58.4) | 270 (72.4) | 70 (58.3) | 51 (68.9) |
|
| Hand‐washing with soap and water for 20 s is enough to clean the hands and protect from spreading the infection | 1699 (84.7) | 540 (84.6) | 736 (89.9) | 288 (77.2) | 77 (75.5) | 58 (78.4) |
|
| Steroids do not increase the susceptibility to coronavirus infection | 929 (46.3) | 271 (42.5) | 356 (43.5) | 212 (56.8) | 49 (48.0) | 41 (55.4) |
|
| Generally, the use of autoimmune disease medications increases the susceptibility to contract coronavirus infection | 1110 (55.3) | 371 (58.2) | 445 (54.3) | 188 (50.4) | 60 (58.8) | 46 (62.2) | .094 |
| Hydroxychloroquine can be used as a preventative therapy against coronavirus infection | 1293 (64.5) | 426 (66.8) | 534 (65.2) | 216 (57.9) | 71 (69.6) | 46 (62.2) | . |
| Azithromycin can be used along with Hydroxychloroquine in the treatment of coronavirus infection. | 1326 (66.1) | 483 (75.7) | 439 (53.6) | 288 (77.2) | 72 (70.6) | 44 (59.5) |
|
| Oseltamivir cannot be used in the management of coronavirus infection | 680 (33.9) | 202 (31.7) | 324 (39.6) | 82 (22.0) | 47 (46.1) | 25 (33.8) |
|
| Protein calorie malnutrition impairs host immunity (particularly the T‐cell system) resulting in increased opportunistic infection | 1516 (75.6) | 487 (76.3) | 647 (79.0) | 261 (70.0) | 67 (65.7) | 54 (73.0) | . |
| Patients should eat food that contains Vitamin C and D to boost their immunity | 1867 (93.1) | 600 (94.0) | 768 (93.8) | 340 (91.2) | 89 (87.3) | 70 (94.6) | .054 |
| Eating food like mushrooms and garlic is beneficial for the immune system | 1593 (79.4) | 485 (76.0) | 699 (85.3) | 277 (74.3) | 69 (67.6) | 63 (85.1) |
|
| Exercise causes antibodies and white blood cells to circulate in the body more rapidly detecting infections at an early stage | 955 (47.6) | 314 (49.2) | 418 (51.0) | 142 (38.1) | 44 (43.1) | 37 (50.0) | . |
| 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 | 1522 (75.9) | 502 (78.7) | 624 (76.2) | 258 (69.2) | 83 (81.4) | 55 (74.3) | . |
| Not smoking and decreasing stress help support the immune system. | 1950 (97.2) | 622 (97.5) | 802 (97.9) | 355 (95.2) | 100 (98.0) | 71 (95.9) | .087 |
| Sunlight activates T‐helper cells hence boosts immunity | 1327 (66.2) | 439 (68.8) | 560 (68.4) | 219 (58.7) | 56 (54.9) | 53 (71.6) | . |
| You need to keep a distance of at least 3 metres (10 feet) when counselling patients during a pandemic | 463 (23.1) | 142 (22.3) | 179 (21.9) | 99 (26.5) | 34 (33.3) | 9 (12.2) | . |
| The highest risk patients in contracting coronavirus are elderly (>65), immune‐compromised, and children under the age of 9 | 659 (32.9) | 190 (29.8) | 169 (20.6) | 145 (38.9) | 39 (38.2) | 16 (21.6) | . |
P‐value under .05 indicates a significant outcome. Values in bold indicate significance.
Assessment of factors affecting awareness scores amongst study participants (n = 2589)
| Parameter | Awareness score | |||
|---|---|---|---|---|
| Beta |
| 95% Confidence interval for B | ||
| Lower bound | Upper bound | |||
| Age | 0.082 |
| 0.007 | 0.041 |
| Having children | 0.108 |
| 0.265 | 0.810 |
| Education level | −0.100 |
| −0.801 | −0.270 |
| University (public vs private) | 0.062 |
| 0.122 | 0.595 |
| Workshop number attended during the last year | 0.062 |
| 0.027 | 0.137 |
| Practice setting (community vs hospital) | 0.110 |
| 0.314 | 0.751 |
| Previous knowledge is gained from the Faculty of Pharmacy/educational institute | 0.110 |
| 0.345 | 0.754 |
| Main source of information is published studies | 0.104 |
| 0.300 | 0.711 |
| Current satisfaction with knowledge | 0.149 |
| 0.274 | 0.493 |
P‐value under .05 indicates a significant outcome. Values in bold indicate significance.
FIGURE 4Study participants’ perceptions about the current role of the faculties of pharmacies/educational institutes, pharmacists’ associations and societies, and pharmacists’ role to deal with pandemics and the coronavirus pandemic specifically (n = 2589)
Regional distribution of study participants’ perceptions about the current role of the faculties of pharmacies/educational institutes to deal with pandemics and coronavirus specifically (n = 1998)
| Statement | Strongly agree/agree, n (%) | ||||||
|---|---|---|---|---|---|---|---|
|
Total n = 1998 |
East Mediterr‐anean and Iraq n = 638 |
Egypt n = 819 |
North Africa n = 365 |
Gulf countries n = 102 |
Other Arab countries n = 74 |
| |
| Your faculty/educational institute has a role in preparing you to deal with any pandemics | 1495 (74.8) | 458 (71.8) | 590 (72.0) | 277 (75.9) | 74 (72.5) | 60 (81.1) | .301 |
| Your faculty/educational institute should add an elective pandemics management course | 1891 (94.6) | 613 (96.1) | 770 (94.0) | 344 (94.2) | 93 (91.2) | 71 (95.9) | .198 |
| Your faculty/educational institute should provide you with online lectures and webinars as students and alumni | 1940 (97.1) | 623 (97.6) | 800 (97.7) | 351 (96.2) | 93 (91.2) | 73 (98.6) | . |
| Your faculty/educational institute should provide online educational workshops on the pandemic coronavirus | 1908 (95.5) | 620 (97.2) | 783 (95.6) | 343 (94.0) | 93 (91.2) | 69 (93.2) | . |
| Your faculty/educational institute should provide online information recourses (eg summary of research studies) on the pandemic coronavirus | 1949 (97.5) | 623 (97.6) | 799 (97.6) | 358 (98.1) | 97 (95.1) | 72 (97.3) | .551 |
| Perceptions about the current role of pharmacists’ associations and societies | |||||||
| The pharmacists' associations and societies have a role in preparing you to deal with pandemics such as coronavirus | 1270 (63.6) | 403 (63.2) | 522 (63.7) | 225 (69.9) | 65 (63.7) | 55 (74.3) | .362 |
| The pharmacists' associations and societies should be sending you awareness emails on the current pandemics coronavirus | 1817 (90.9) | 582 (91.2) | 753 (91.9) | 323 (88.5) | 93 (91.2) | 66 (89.2) | .407 |
| The pharmacists' associations and societies should provide online educational workshops on the pandemics coronavirus | 1858 (93.0) | 597 (93.6) | 759 (92.7) | 334 (91.5) | 98 (96.1) | 70 (94.6) | .481 |
| The pharmacists' associations and societies should monitor the availability of the medications used in the management of the coronavirus in pharmacies | 1893 (94.7) | 607 (95.1) | 779 (95.1) | 342 (93.7) | 93 (91.2) | 72 (97.3) | .308 |
| The faculties of pharmacy/educational institutes and pharmacists' associations and societies should join forces and produce one educational module for the management of the pandemic coronavirus | 1920 (96.1) | 613 (96.1) | 787 (96.1) | 351 (96.2) | 98 (96.1) | 71 (95.9) | 1.000 |
| Perceptions about the current role of pharmacists | |||||||
| You have a major role in the management of pandemics through your pharmacy | 1746 (87.4) | 558 (87.5) | 719 (87.8) | 320 (87.7) | 82 (80.4) | 67 (90.5) | .254 |
| It is your role to ensure the availability of key medicines | 1691 (84.6) | 541 (84.8) | 691 (84.4) | 309 (84.7) | 81 (79.4) | 69 (93.2) | .170 |
| It is your role to counsel people about coronavirus infection and how to reduce the transmission and the spread of disease | 1929 (96.5) | 618 (96.9) | 792 (96.7) | 352 (96.4) | 98 (96.1) | 69 (93.2) | .599 |
| You ensure your personal safety by wearing gloves and masks and avoid close contact with patients | 1941 (97.1) | 624 (97.8) | 793 (96.8) | 355 (97.3) | 98 (96.1) | 71 (95.9) | .712 |
| If you suspect someone may have coronavirus, you know how to seek immediate medical attention | 1942 (97.2) | 622 (97.5) | 792 (96.7) | 356 (97.5) | 99 (97.1) | 73 (98.6) | .796 |
| You provide Hydroxychloroquine to patients who need it even if they don't have a prescription | 224 (11.2) | 72 (11.3) | 78 (9.5) | 53 (14.5) | 9 (8.8) | 12 (16.2) | .066 |
| Pharmacies should be allowed to send medications to their patients home during the coronavirus pandemic when needed | 1653 (82.7) | 522 (81.8) | 666 (81.3) | 308 (84.4) | 88 (86.3) | 69 (93.2) | .065 |
P‐value under .05 indicates a significant outcome. Values in bold indicate significance.