| Literature DB >> 32437822 |
M Saqlain1, M M Munir2, S U Rehman3, A Gulzar4, S Naz5, Z Ahmed6, A H Tahir1, M Mashhood7.
Abstract
A self-administered validated (Cronbach's alpha=0.077) questionnaire was used to assess knowledge, attitude and practice among healthcare workers (HCWs) in Pakistan regarding coronavirus disease 2019 (COVID-19). Findings showed that HCWs have good knowledge (93.2%, N=386), a positive attitude [mean 8.43 (standard deviation 1.78)] and good practice (88.7%, N=367) regarding COVID-19. HCWs perceived that limited infection control material (50.7%, N=210) and poor knowledge regarding transmission (40.6%, N=168) were the major barriers to infection control. Regression analysis indicated that pharmacists were more likely to demonstrate good practice than other HCWs (odds ratio 2.247, 95% confidence interval 1.11-4.55, P=0.025). This study found that HCWs in Pakistan have good knowledge, but there are gaps in specific aspects of knowledge and practice that warrant attention.Entities:
Keywords: Awareness; COVID-19; Healthcare workers; Knowledge, attitude and practice
Mesh:
Year: 2020 PMID: 32437822 PMCID: PMC7211584 DOI: 10.1016/j.jhin.2020.05.007
Source DB: PubMed Journal: J Hosp Infect ISSN: 0195-6701 Impact factor: 3.926
Differences in knowledge, attitude and practice of healthcare workers by demographics (N=414)
| Characteristics | Total | Knowledge | Attitude | Practice | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Poor | Good | χ2 ( | Mean | SD | Poor | Good | χ2 ( | |||
| Overall | 28 (6.8) | 386 (93.2) | 8.43 | 1.78 | 47 (11.3) | 367 (88.7) | ||||
| Gender | 0.699 (0.403) | 0.269 (0.788) | 0.286 (0.592) | |||||||
| Male | 209 (50.5) | 12 (5.7) | 197 (94.3) | 8.41 | 1.77 | 22 (10.5) | 187 (89.5) | |||
| Female | 205 (49.5) | 16 (7.8) | 189 (92.2) | 8.46 | 1.79 | 25 (12.2) | 180 (87.8) | |||
| Age (years) | 9.836 ( | 0.198 (0.699) | 0.295 (0.957) | |||||||
| <30 | 310 (74.9) | 26 (8.4) | 284 (91.6) | 8.44 | 1.73 | 36 (11.6) | 274 (88.4) | |||
| 31–39 | 69 (16.7) | 5 (7.2) | 64 (92.8) | 9.43 | 2.07 | 8 (11.6) | 61 (88.4) | |||
| 40–49 | 23 (5.6) | 1 (4.5) | 22 (95.5) | 8.26 | 1.51 | 2 (8.7) | 21 (91.3) | |||
| ≥50 | 12 (2.9) | 2 (16.7) | 10 (93.2) | 8.16 | 1.65 | 1 (8.3) | 11 (91.7) | |||
| Experience (years) | 3.059 (0.281) | 1.347 (0.259) | 9.827 ( | |||||||
| <1 | 110 (26.6) | 6 (5.5) | 104 (94.5) | 8.78 | 1.99 | 19 (17.3) | 91 (82.7) | |||
| 1–3 | 131 (31.6) | 12 (9.2) | 119 (90.8) | 8.53 | 1.81 | 16 (12.2) | 115 (87.8) | |||
| 3–5 | 56 (13.5) | 5 (8.9) | 51 (91.1) | 8.34 | 1.69 | 7 (12.5) | 49 (87.5) | |||
| >5 | 117 (28.3) | 5 (4.3) | 112 (95.7) | 8.25 | 1.68 | 5 (4.3) | 112 (95.7) | |||
| Profession | 1.920 (0.383) | 1.030 (0.358) | 4.802 (0.091) | |||||||
| Doctor | 120 (29.98) | 8 (6.7) | 112 (93.3) | 8.41 | 1.78 | 6 (5.7) | 114 (94.3) | |||
| Pharmacist | 189 (46.55) | 10 (5.3) | 179 (94.7) | 8.43 | 1.71 | 18 (9.5) | 171 (90.5) | |||
| Nurse | 198 (25.37) | 10 (6.8) | 95 (90.5) | 8.64 | 1.88 | 9 (8.6) | 96 (91.4) | |||
COVID-19, coronavirus disease 2019; SD, standard deviation.
P<0.05 was considered to indicate significance. Bold values show significant differences.
Total score ranged from 0 to 14. A score of ≤10 was set for poor knowledge and ≥11 for good knowledge regarding COVID-19.
Total score ranged from 7 to 35. An overall lower mean score indicates a positive attitude towards COVID-19.
Total score ranged from 0 to 6. A score of 1–4 indicates poor practice regarding COVID-19.
Logistic regression analysis for factors associated with good knowledge and practice regarding coronavirus disease 2019 (COVID-19) (N=414)
| Characteristics | Knowledge | Practice | ||||||
|---|---|---|---|---|---|---|---|---|
| Poor | Good | OR | Poor | Good | OR | |||
| Overall | 95% CI | 95% CI | ||||||
| Gender | ||||||||
| Male | 12 (5.7) | 197 (94.3) | 1.00 | - | 22 (10.5) | 187 (89.5) | 1.00 | - |
| Female | 16 (7.8) | 189 (92.2) | 0.696 (0.301–1.608) | 0.396 | 25 (12.2) | 180 (87.8) | 0.977 (0.51–1.89) | 0.445 |
| Age (years) | ||||||||
| <30 | 26 (8.4) | 284 (91.6) | 1.00 | – | 36 (11.6) | 274 (88.4) | 1.00 | – |
| 31–39 | 5 (7.2) | 64 (92.8) | 1.398 (0.06–2.63) | 0.089 | 8 (11.6) | 61 (88.4) | 1.377 (0.14–2.04) | |
| 40–49 | 1 (4.5) | 22 (95.5) | 1.419 (0.14–4.78) | 2 (8.7) | 21 (91.3) | 1.406 (0.07–2.93) | 0.313 | |
| ≥50 | 2 (16.7) | 10 (93.2) | 1.497 (0.17–4.18) | 1 (8.3) | 11 (91.7) | 1.444 (0.04–4.73) | 0.501 | |
| Experience (years) | ||||||||
| <1 | 6 (5.5) | 104 (94.5) | 1.00 | – | 19 (17.3) | 91 (82.7) | 1.00 | – |
| 1–3 | 12 (9.2) | 119 (90.8) | 1.555 (1.19–2.54) | 0.260 | 16 (12.2) | 115 (87.8) | 1.453 (0.69–3.03) | 0.319 |
| 3–5 | 5 (8.9) | 51 (91.1) | 1.619 (1.26–2.84) | 0.190 | 7 (12.5) | 49 (87.5) | 2.11 (0.73–6.11) | 0.169 |
| >5 | 5 (4.3) | 112 (95.7) | 1.999 (1.29–4.81) | 0.481 | 5 (4.3) | 112 (95.7) | 10.71 (2.8–40.75) | |
| Profession | ||||||||
| Doctor | 8 (6.7) | 112 (93.3) | 1.00 | – | 6 (5.7) | 114 (94.3) | 1.00 | – |
| Pharmacist | 10 (5.3) | 179 (94.7) | 1.44 (0.54–3.87) | 0.461 | 18 (9.5) | 171 (90.5) | 2.247 (1.11–4.55) | |
| Nurse | 10 (6.8) | 95 (90.5) | 0.616 (0.21–1.78) | 0.369 | 9 (8.6) | 96 (91.4) | 1.178 (0.48–2.90) | 0.724 |
OR, odds ratio, CI, confidence interval.
P<0.05 was considered to indicate significance. Bold values show significant differences.
Total score ranged from 0 to 14. A score of ≤10 was set for poor knowledge and ≥11 for good knowledge regarding COVID-19.
Total score ranged from 0 to 6. A score of 1–4 indicates poor practice regarding COVID-19.