| Literature DB >> 32904494 |
Zelalem Tilahun Tesfaye1, Malede Berihun Yismaw1, Zenebe Negash1, Akeberegn Gorems Ayele1.
Abstract
PURPOSE: This study was launched to assess COVID-19-related knowledge, attitude and practice among hospital and community pharmacists in Addis Ababa, Ethiopia.Entities:
Keywords: SARS-CoV-2; global pandemic; novel coronavirus; physical distancing; viral pneumonia
Year: 2020 PMID: 32904494 PMCID: PMC7455591 DOI: 10.2147/IPRP.S261275
Source DB: PubMed Journal: Integr Pharm Res Pract ISSN: 2230-5254
Socio-Demographic and Professional Characteristics
| Variables | Frequency (%) |
|---|---|
| 19–30 | 173 (58.6) |
| 31–45 | 96 (32.5) |
| 46–62 | 26 (8.8) |
| Female | 143 (48.5) |
| Male | 152 (51.5) |
| Pharmacy technician | 87 (29.5) |
| Pharmacist | 208 (70.5) |
| Dispenser | 273 (92.5) |
| Store Manager | 22 (7.5) |
| Community pharmacy | 196 (66.4) |
| Hospital pharmacy | 99 (33.6) |
| ≤ 5 | 160 (54.2) |
| 6–15 | 112 (38.0) |
| ≥ 16 | 23 (7.8) |
Notes: aProfessional level is set by Ethiopian Food and Drug Administration; Pharmacy technicians are mid-level professionals with technical and vocational diploma whereas pharmacists are high-level professionals with Bachelor of Pharmacy degree or higher.
Figure 1Sources of information about COVID-19 among hospital and community pharmacists in Addis Ababa, Ethiopia.
Knowledge About COVID-19 Among Hospital and Community Pharmacists in Addis Ababa, Ethiopia
| Questions and Responses | Frequency (%) |
|---|---|
| Virus | 294 (99.7) |
| Fungus | 1 (0.3) |
| Respiratory | 291 (98.6) |
| Gastrointestinal | 2 (0.7) |
| Genitourinary | 1 (0.3) |
| Not sure | 1 (0.3) |
| Through coughing/sneezing into another person | 281 (95.3) |
| Contact with contaminated surfaces | 259 (87.8) |
| Direct body contact with infected person | 266 (90.2) |
| Otherb | 8 (2.7) |
| Not sure | 5 (1.7) |
| Children and adolescents | 43 (14.6) |
| Older adults | 272 (92.2) |
| People with underlying diseases | 245 (83.1) |
| Othersc | 7 (2.4) |
| Not sure | 5 (1.7) |
| Traditional medicine | 50 (16.9) |
| Antimicrobial therapy | 77 (26.1) |
| Vaccination | 73 (24.7) |
| Supportive therapy and life support | 264 (89.5) |
Notes: aMultiple responses recorded. bOther – airborne (3), eating raw food (2), from animal to human (2), feeding from the same plate (1); cOthers – smokers (4), healthcare workers (2), malnourished (1).
Predictors of Extent of Knowledge About COVID-19 Among Hospital and Community Pharmacists in Addis Ababa, Ethiopia
| Variables | Extent of Knowledge | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|
| Adequate | Inadequate | |||
| Age in years | ||||
| 19–30 | 83 (48.0) | 90 (52.0) | 1 | 1 |
| 31–45 | 53 (57.3) | 41 (42.7) | 1.46 (0.88, 2.40) | 0.96 (0.53, 1.76) |
| 46–62 | 18 (69.2) | 8 (30.8) | 1.09 (0.26, 4.53) | |
| Gender | ||||
| Female | 69 (48.3) | 74 (51.7) | 1 | 1 |
| Male | 87 (57.2) | 65 (42.8) | 0.70 (0.44, 1.10) | 1.36 (0.83, 2.24) |
| Professional level | ||||
| Pharmacy technician | 30 (34.5) | 57 (65.5) | 1 | 1 |
| Pharmacist | 126 (60.6) | 82 (39.4) | ||
| Job Position | ||||
| Dispenser | 146 (53.5) | 127 (46.5) | 1 | 1 |
| Store Manager | 10 (45.5) | 12 (54.5) | 0.73 (0.30, 1.73) | 0.60 (0.24, 1.52) |
| Working setup | ||||
| Community pharmacy | 103 (52.6) | 93 (47.7) | 1 | 1 |
| Hospital pharmacy | 53 (53.5) | 46 (46.5) | 1.04 (0.64, 1.69) | 0.91 (0.52, 1.58) |
| Year of service | ||||
| ≤ 5 | 68 (42.5) | 92 (57.5) | 1 | 1 |
| 6–15 | 71 (63.4) | 41 (36.6) | ||
| ≥ 16 | 17 (73.9) | 6 (26.1) | 2.52 (0.53, 11.99) | |
Note: Bold indicates significance (p<0.05).
Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; COR, crude odds ratio.
Attitude Towards COVID-19 Among Hospital and Community Pharmacists in Addis Ababa, Ethiopia
| Statements | SA (%) | A (%) | N (%) | DA (%) | SDA (%) | Mean ± SD | PPR (%) |
|---|---|---|---|---|---|---|---|
| There is likelihood that I or members of my family acquire COVID-19 | 56.3 | 24.7 | 10.8 | 4.7 | 3.4 | 4.26±1.05 | 81 |
| Following WHO recommendations helps to reduce the transmission of COVID-19 | 58.3 | 31.5 | 8.1 | 2.0 | 0.0 | 4.46±0.73 | 89.8 |
| The impact of COVID-19 outbreak can be minimized by the proactive measures taken by healthcare authorities | 25.8 | 29.2 | 25.1 | 11.5 | 8.5 | 3.52±1.23 | 55 |
| There is adequate preparedness at national level to deal with COVID-19 outbreak | 14.9 | 20.0 | 38.3 | 15.6 | 11.2 | 3.12±1.18 | 34.9 |
| The healthcare facilities in the country have enough resources to provide care coronavirus patients | 4.4 | 5.4 | 34.6 | 30.5 | 25.1 | 2.34±1.05 | 9.8 |
Abbreviations: A, agree; N, neutral; DA, disagree; SA, strongly agree; SDA, strongly disagree; PPR, percent positive response; SD, standard deviation.
Practice Related to COVID-19 Among Hospital and Community Pharmacists in Addis Ababa, Ethiopia
| Variables | Frequency (%) |
|---|---|
| Yes | 88 (29.8) |
| No | 207 (70.2) |
| Lack of attention/motivation by decision makers | 81 (27.5) |
| Resource scarcity | 177 (60.0) |
| Financial constraints | 71 (24.1) |
| Other reasonsa | 14 (4.7) |
| Yes | 90 (30.5) |
| No | 205 (69.5) |
| Limited supply of equipment or pharmaceuticals | 189 (64.1) |
| Limited human resource | 42 (14.2) |
| Inadequate preparedness | 98 (33.2) |
| Other reasonsb | 5 (1.7) |
| Washing hands with water and soap | 287 (97.3) |
| Using personal protective equipment | 176 (59.7) |
| Avoidance of touching the eyes, nose and mouth with hands | 239 (81.0) |
| Maintaining appropriate physical distancing | 207 (70.2) |
Notes: aOther reasons – not caring for employees’ safety (6), lack of information (3), unsuitable working area (3), downplaying the need (2); bOther reasons – stock out (4) stockpiling of products by competitors (1).