| Literature DB >> 33116565 |
Tirhas Tadesse1, Tariku Tesfaye2, Tadesse Alemu3, Werissaw Haileselassie4.
Abstract
BACKGROUND: Face masks were considered as an effective method of preventing respiratory infections like coronavirus infection. Identifying knowledge, attitude, and practice of healthcare workers regarding face mask utilization is very important to identify gaps and intervene immediately to control the spread of the infection. Hence, the main aim of this study was to determine the health worker's knowledge, attitude, and practice of proper face mask utilization and associated factors at police health faculties in Addis Ababa, Ethiopia, 2020.Entities:
Keywords: attitude; healthcare workers; knowledge; police health facilities; practices; proper face mask utilization
Year: 2020 PMID: 33116565 PMCID: PMC7585795 DOI: 10.2147/JMDH.S277133
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Socio-Demographic Characteristics of the Police Health Professionals in Addis Ababa, Ethiopia, July 2020
| Variables | Category | Frequency | Percent |
|---|---|---|---|
| Sex | Male | 246 | 60.3 |
| Female | 162 | 39.7 | |
| Age | <30 years | 127 | 31.1 |
| ≥30 years | 281 | 68.9 | |
| Marital status | Single | 150 | 36.8 |
| Married | 258 | 63.2 | |
| Educational status | Diploma | 100 | 24.5 |
| Degree | 254 | 62.3 | |
| Masters&above | 54 | 13.2 | |
| Police rank | Lower | 102 | 25 |
| Middle | 136 | 33.3 | |
| Higher | 170 | 41.7 | |
| Type of profession | Nurse | 178 | 43.6 |
| Midwife | 71 | 17.4 | |
| Public health officer | 42 | 10.3 | |
| Medical doctor | 28 | 6.9 | |
| Others* | 89 | 21.8 | |
| Work experience (in years) | <10 | 190 | 46.6 |
| ≥10 | 218 | 53.4 |
Notes: *Medical Laboratory, Pharmacy, Anesthesia, Environmental Health, Dentistry
Figure 1Level of knowledge of the respondents about face mask, police health professionals in Addis Ababa, Ethiopia, July 2020.
Knowledge of the Police Health Professionals About Face Mask in Addis Ababa, Ethiopia, July 2020
| Variables | Category | Number | Percent |
|---|---|---|---|
| Wearing surgical face mask protects from COVID-19 | Yes | 350 | 85.8 |
| No | 58 | 14.2 | |
| Correctly use a surgical face mask | White facing in | 362 | 89.7 |
| Whiteside facing out | 42 | 10.3 | |
| Layers of the surgical mask | Two | 136 | 33.3 |
| Three | 254 | 62.3 | |
| Four | 18 | 4.4 | |
| Which layer acts as a filter media barrier | First | 142 | 34.8 |
| Middle | 230 | 56.4 | |
| Last | 36 | 8.8 | |
| Type of masks protect COVID-19 | 95% BFE&PFE | 276 | 67.6 |
| 97%BFE&PFE | 24 | 5.9 | |
| 91%BFE&PFE | 14 | 3.4 | |
| 99%BFE&PFE | 94 | 23 | |
| Duration of surgical mask use | 8 hours | 196 | 48 |
| 4 hours | 188 | 46.1 | |
| 2 hours | 24 | 5.9 | |
| Proper wear of surgical mask | Mouth only | 3 | 0.5 |
| Nose and mouth | 72 | 17.6 | |
| Nose, mouth, and chain | 334 | 81.9 | |
| Propose of the metal strip | No purpose | 26 | 6.4 |
| To fit on the nose | 360 | 88.2 | |
| To fit on the chin | 22 | 5.4 | |
| A cloth face mask is effective as a surgical face mask | Yes | 150 | 36.8 |
| No | 258 | 63.2 |
Figure 2Attitude towards face mask utilization of the Respondents, police health professionals in Addis Ababa, Ethiopia, July 2020.
Attitude Towards Face Mask Utilization of the Respondents, Police Health Professionals in Addis Ababa, Ethiopia, July 2020
| Variables | Strongly Disagree | Disagree | Neutral | Agree | Strongly Agree | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | N | % | N | % | |
| Willing to know the correct steps of wearing face mask | 30 | 7.4 | 40 | 9.8 | 6 | 1.5 | 228 | 55.9 | 104 | 25.5 |
| Needs to be carefully put-on and taken off | 31 | 7.6 | 46 | 11.3 | 4 | 1 | 207 | 50.7 | 120 | 29.4 |
| Keeps individual from touching mucous members | 46 | 11.3 | 58 | 14.2 | 6 | 1.5 | 189 | 46.3 | 109 | 26.7 |
| Very effective at preventing infectious droplets from spreading | 32 | 7.8 | 54 | 13.2 | 6 | 1.5 | 226 | 55.4 | 90 | 22.1 |
| Necessary to change face mask before going to another patient | 66 | 16.2 | 94 | 23 | 28 | 6.9 | 144 | 35.3 | 76 | 18.6 |
| Necessary to wear a face mask when in contact with pt. | 38 | 9.3 | 54 | 13.2 | 6 | 1.5 | 188 | 46.1 | 120 | 29.4 |
| Necessary to wear face mask as am afraid of getting COVID-19 | 145 | 35.5 | 70 | 17.2 | 19 | 4.7 | 127 | 31.1 | 47 | 11.5 |
| Necessary to wear a face mask as infected with COVID-19 is the worst thing that could happen to me | 51 | 12.5 | 66 | 16.2 | 36 | 8.8 | 178 | 43.6 | 77 | 18.9 |
Figure 3Summary of proper practice of face mask utilization of the Respondents, police health professionals in Addis Ababa, Ethiopia, July 2020.
Figure 4Proper utilization of face mask by profession among police health professionals in Addis Ababa, Ethiopia, July 2020.
Proper Practice of Face Mask Utilization of the Respondents, Police Health Professionals in Addis Ababa, Ethiopia, July 2020
| Variables | Yes | No | ||
|---|---|---|---|---|
| N | % | N | % | |
| Remove his/her mask if there is a need to talk to pt. | 243 | 59.6 | 165 | 40.4 |
| Sore used a mask in a bag for later use if not sick | 317 | 77.7 | 91 | 22.3 |
| Wearing a mask in public places | 272 | 66.7 | 136 | 33.3 |
| Wear mask in hospital premises | 372 | 91.2 | 36 | 8.8 |
| Before doing a mask, clean their hands | 257 | 63 | 151 | 37 |
| Before wearing the mask identified the inside and outside mask | 175 | 42.9 | 233 | 57.1 |
| Confirm the metal nose band on the top | 129 | 31.6 | 279 | 68.4 |
| Place the loop around the ear | 169 | 41.4 | 239 | 58.6 |
| Pull the top and bottom of the mask to extend the folds | 226 | 55.4 | 182 | 44.6 |
| Press the noseband | 126 | 30.9 | 282 | 69.1 |
| Do not touch the mask | 114 | 27.9 | 294 | 72.1 |
| Do not eat drink/smoke while wearing the mask | 122 | 29.9 | 286 | 70.1 |
| Remove the mask from the face touching only the bands | 122 | 29.9 | 286 | 70.1 |
| Avoid pulling the mask up over my forehead or down over my chin | 269 | 65.9 | 139 | 34.1 |
| Dispose of the mask when soiled/wet | 285 | 69.9 | 123 | 30.1 |
| Clean hands after taking off | 116 | 28.4 | 292 | 71.6 |
| Not reuse single-use mask | 94 | 23 | 314 | 77 |
Factors Affecting Knowledge of the Respondents About Face Mask and Its Use, Police Health Professionals in Addis Ababa, Ethiopia, July 2020
| Variables | Category | Knowledge of Face Mask | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|---|
| Poor | Good | ||||
| Age (in years) | <30 | 99 | 28 | 0.85(0.52,1.40) | |
| ≥30 | 211 | 70 | 1 | ||
| Sex | Male | 180 | 66 | 1.5(0.92,2.40)* | 2.2(1.25,3.86)** |
| Female | 130 | 32 | 1 | 1 | |
| Marital status | Single | 128 | 22 | 0.41(0.24,0.69)* | 0.72(0.39,1.33) |
| Married | 182 | 76 | 1 | 1 | |
| Educational status | Diploma | 92 | 8 | 0.17(0.07,0.44)* | 0.1(0.05,0.41)** |
| Degree | 182 | 72 | 0.79(0.42,1.48) | 0.6(0.24,1.27) | |
| Masters & above | 36 | 18 | 1 | 1 | |
| Police rank | Lower | 82 | 20 | 0.55(0.31,0.99)* | 0.6(0.31,1.29) |
| Middle | 110 | 26 | 0.54(0.31,0.92)* | 0.7(0.37,1.39) | |
| Higher | 118 | 52 | 1 | 1 | |
| Type of profession | Nurse | 140 | 38 | 1.45(0.74,2.85) | 2.6(1.17,5.65)** |
| Midwife | 51 | 20 | 2.1(0.97,4.54)* | 3.3(1.41,7.89)** | |
| Public Health | 18 | 24 | 7.14(4.09,16.48)* | 9.2(3.44,25.02)** | |
| Medical Doctor | 26 | 2 | 0.41(0.09,1.94) | 0.4(0.09,2.16) | |
| Others professionals | 75 | 14 | 1 | 1 | |
| Work experience (in year) | <10 | 140 | 50 | 1.27(0.80,1.99) | |
| ≥10 | 170 | 48 | 1 | ||
Notes: *P value=<0.2 and **p value =<0.05.
Factors Affecting Attitude of the Respondents About Face Mask Use, Police Health Professionals in Addis Ababa, Ethiopia, July 2020
| Variables | Category | Attitude Towards Mask Utilization | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|---|
| Negative | Positive | ||||
| Age (in years) | <30 | 65 | 62 | 1.2(0.81,1.87) | |
| ≥30 | 158 | 123 | 1 | ||
| Sex | Male | 114 | 132 | 2.4(1.58,3.59) | |
| Female | 109 | 53 | 1 | ||
| Marital status | Single | 84 | 66 | 0.9(0.61,1.38) | |
| Married | 139 | 119 | 1 | ||
| Educational status | Diploma | 49 | 51 | 1.8(0.89,3.48)* | 5.0(2.08,12.20)** |
| Degree | 140 | 114 | 1.4(0.76,2.54) | 2.4(1.07,5.47)** | |
| Masters& above | 34 | 20 | 1 | 1 | |
| Police rank | Lower | 75 | 27 | 0.4(0.21,0.61)* | 0.3(0.18,0.64)** |
| Middle | 63 | 73 | 1.2(0.74,1.82) | 1.2(0.67,2.09) | |
| Higher | 85 | 85 | 1 | ||
| Type of profession | Nurse | 108 | 70 | 0.7(0.42,1.16)* | 0.5(0.24,0.84)** |
| Midwife | 35 | 36 | 1.1(0.59,2.05) | 0.8(0.39,1.79) | |
| Public health officer | 22 | 20 | 0.9(0.47,2.03) | 0.3(0.11,0.79)** | |
| Medical doctor | 12 | 16 | 1.4(0.61,3.36) | 2.0(0.75,5.41) | |
| Others* | 46 | 43 | 1 | 1 | |
| Work experience (in year) | <10 | 102 | 88 | 1.1(0.73,1.59) | |
| ≥10 | 121 | 97 | 1 | ||
| Knowledge | Poor | 200 | 110 | 0.2(0.10,0.28)* | 0.1(0.05,0.17)** |
| Good | 121 | 97 | 1 | 1 | |
Notes: *P value=<0.2 and **p value =<0.05.
Factors Affecting Proper Practice of Face Mask Use, Police Health Professionals in Addis Ababa, Ethiopia, July 2020
| Variables | Category | Proper Practice of Face Mask Use | COR (95% CI) | AOR (95% CI) | |
|---|---|---|---|---|---|
| Poor | Good | ||||
| Age (in years) | <30 | 81 | 46 | 1.2(0.78,1.87) | |
| ≥30 | 191 | 90 | 1 | ||
| Sex | Male | 151 | 95 | 1.7(0.75,3.71) | |
| Female | 121 | 41 | 1 | 1 | |
| Marital status | Single | 110 | 40 | 0.61(0.39,0.95)* | 0.9(0.41,2.31) |
| Married | 162 | 96 | 1 | 1 | |
| Educational status | Diploma | 81 | 19 | 0.5(0.22,0.99)* | 3.6(0.82,16.05) |
| Degree | 155 | 99 | 1.3(0.69,2.37) | 10.4(2.51,43.32)** | |
| Masters& above | 36 | 18 | 1 | 1 | |
| Police rank | Lower | 59 | 43 | 1.3(0.77,2.09) | 1.4(0.52,3.61) |
| Middle | 105 | 31 | 0.5(0.31,0.86)* | 0.2(0.05,0.41)** | |
| Higher | 108 | 62 | 1 | 1 | |
| Type of profession | Nurse | 131 | 47 | 1.2(0.68,2.25) | 0.5(0.17,1.30) |
| Midwife | 30 | 41 | 4.7(2.38,9.36)* | 7.7(2.63,22.65)** | |
| Public health officer | 16 | 26 | 5.6(2.53,12.44)* | 0.7(0.16,2.79) | |
| Medical doctor | 26 | 2 | 0.3(0.06,1.22)* | 0.04(0.003,0.43)** | |
| Others* | 69 | 20 | 1 | 1 | |
| Work experience (in year) | <10 | 120 | 70 | 1.3(0.89,2.03)* | 1.0(0.46,2.21) |
| ≥10 | 152 | 66 | 1 | 1 | |
| Attitude | Negative | 154 | 69 | 0.8(0.52,1.19) | |
| Positive | 118 | 67 | 1 | ||
| Knowledge | Poor | 264 | 46 | 0.02(0.01,0.03)* | 0.01(0.003,0.023)** |
| Good | 8 | 90 | 1 | 1 | |
Notes: *P value=<0.2 and **p value =<0.05.