1. Background
2. Objectives
3. Methods
3.1. Sampling
3.2. Demographic Profile Form
3.3. Researcher-Made Questionnaire
4. Results
| Demographic Characteristics | No. (%) | Mean ± SD |
|---|---|---|
| Age (y) | 31.63 ± 9.03 | |
| 18 - 30 | 122 (53.1) | |
| 31 - 50 | 98 (42.6) | |
| > 50 | 10 (4.3) | |
| Gender | ||
| Male | 102 (44.3) | |
| Female | 128 (55.7) | |
| Education | ||
| BSc | 195 (84.8) | |
| MSc | 31 (13.5) | |
| PhD | 4 (1.7) | |
| Marriage | ||
| Single | 106 (46.1) | |
| Married | 124 (53.9) | |
| Work shift | ||
| Morning | 75 (32.6) | |
| Evening | 23 (10) | |
| Night | 36 (15.7) | |
| Two shifts | 41 (17.8) | |
| Rotating | 55 (23.9) | |
| Wearing glasses | ||
| Yes | 69 (30) | |
| No | 161 (70) | |
| Underlying disease | ||
| Yes | 61 (26.5) | |
| No | 169 (73.5) | |
| Type of underlying disease | ||
| Lung disease | 15 (6.52) | |
| Heart disease | 14 (6.08) | |
| Endocrine disease | 11 (4.78) | |
| Neuromuscular disease | 6 (2.6) | |
| Others | 38 (16.52) | |
| Work experience (y) | 9.95 ± 8.44 | |
| < 10 | 127 (55.2) | |
| 10 - 20 | 74 (32.2) | |
| > 20 | 29 (12.6) | |
| BMI | 24.57 ± 3.39 | |
| Low weight | 32 (13.9) | |
| Proportional | 131 (57) | |
| Overweight | 61 (26.5) | |
| Fat | 5 (2.2) | |
| Very fat | 1 (0.4) | |
| Work experience in the COVID-19 department (mon) | 22.74 ± 9.03 | |
| 1 - 12 | 48 (20.9) | |
| 13 - 24 | 128 (54.8) | |
| 25 - 36 | 56 (24.3) |
Abbreviation: BMI, Body Mass Index.
| Barriers to the Use of PPE | Min-Max | Mean ± SD | Average Based on 1 to 5 |
|---|---|---|---|
| Individual | 7 - 35 | 19.69 ± 6.07 | 2.81 ± 0.86 |
| Organizational | 21 - 75 | 44.58 ± 10.78 | 2.97 ± 0.71 |
| Total | 30 - 110 | 64.27 ± 15.33 | 2.92 ± 0.69 |
Abbreviation: PPE, personal protective equipment.
| Personal Information | N | Barriers to the Use of PPE (Mean ± SD) | Test Result |
|---|---|---|---|
| Gender a | t = 2.80; P = 0.005 | ||
| Male | 128 | 66.77 ± 14.07 | |
| Female | 102 | 61.14 ± 16.31 | |
| Marital statusa | t = 1.005; P = 0.31 | ||
| Married | 124 | 63.33 ± 14.74 | |
| Single | 106 | 65.37 ± 16.27 | |
| Education b | F = 0.064; P = 0.93 | ||
| BSc | 195 | 64.29 ± 14.25 | |
| MSc | 31 | 63.83 ± 21.18 | |
| PhD | 4 | 66.77 ± 17.74 | |
| Job b | F = 2.38; P = 0.007 | ||
| Practical nurse | 191 | 64.78 ± 14.49 | |
| Shift manager | 27 | 57.59 ± 15.79 | |
| Head nurse | 11 | 70.09 ± 24.03 | |
| Supervisor | 1 | 66 ± 1 | |
| Work shift b | F = 3.91; P = 0.004 | ||
| Morning | 75 | 65.02 ± 15.96 | |
| Evening | 23 | 52.73 ± 16.54 | |
| Night | 36 | 67 ± 14.91 | |
| Two shifts | 41 | 65.41 ± 13.99 | |
| Rotating | 55 | 65.45 ± 13.50 | |
| Hospital ward | F = 1.69; P = 0.18 | ||
| Critical ward | 84 | 62.78 ± 15.84 | |
| Emergency ward | 58 | 62.86 ± 18.51 | |
| General ward | 88 | 66.63 ± 12.06 | |
| Glasses a | t = -2.02; P = 0.04 | ||
| Yes | 69 | 61.07 ± 16.23 | |
| No | 160 | 65.50 ± 14.69 | |
| Underlying disease a | t = 0.26; P = 0.79 | ||
| Yes | 61 | 64.72 ± 15.47 | |
| No | 169 | 64.11 ± 15.32 | |
| Age | - | - | r c = -0.13; P = 0.03 |
| Work experience | - | - | r c = -0.055; P = 0.40 |
| Work experience in the COVID-19 department | - | - | r c = 0.023; P = 0.72 |
| BMI | - | - | r c = -0.047; P = 0.48 |
Abbreviations: PPE, personal protective equipment; BMI, Body Mass Index.
a Independent t-test.
b One-way ANOVA.
c Pearson’s correlation coefficient.