| Literature DB >> 34344624 |
Rehab H El-Sokkary1, Walaa S Khater2, Amani El-Kholy3, Sally Mohy Eldin4, Doaa M Gad5, Shereen Bahgat6, Essam E M Negm7, Jehan A El Kholy8, Sherif Mowafy7, Eman Mahmoud9, Eman M Mortada10.
Abstract
BACKGROUND: In limited resource settings, compliance to proper personal protective equipment (PPE) use is challenging. This study aims to characterize the pattern of PPE use among healthcare workers (HCWs) during the first wave of coronavirus diseases-2019 (COVID-19) in Egypt and to determine the factors associated with compliance to the proper use of PPE.Entities:
Keywords: Compliance; Infection prevention; Middle-income countries; PPE; SARS-CoV-2; Survey
Year: 2021 PMID: 34344624 PMCID: PMC8317453 DOI: 10.1016/j.jiph.2021.07.017
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
Fig. 1Flow chart of the study participants.
*Reasons for exclusion: not on duty during COVID-19 first wave (n = 21), or working outside Egypt at that time (n = 29).
Pattern of PPE use during COVID-19 pandemic among respondent HCWs (N = 404).
| PPE | Responses* | No. | % |
|---|---|---|---|
| Compliance to PPE use | |||
| Gloves | Rarely | 45 | 11.1 |
| Occasionally | 46 | 11.4 | |
| Mostly | 88 | 21.8 | |
| Always | 225 | 55.7 | |
| Medical/surgical mask | Rarely | 5 | 1.2 |
| Occasionally | 15 | 3.7 | |
| Mostly | 117 | 29.0 | |
| Always | 267 | 66.1 | |
| Goggles/face shield | Rarely | 160 | 39.6 |
| Occasionally | 70 | 17.3 | |
| Mostly | 68 | 16.8 | |
| Always | 106 | 26.2 | |
| Extended PPE use | |||
| Disposable gowns | Rarely | 150 | 37.1 |
| For 1–3 days | 2 | .5 | |
| For 24 h | 31 | 7.7 | |
| For 12 h | 140 | 34.7 | |
| Always, for one patient | 81 | 20.0 | |
| Coverall | Rarely | 84 | 20.8 |
| For 1–3 days | 30 | 7.4 | |
| For 12 h | 10 | 2.5 | |
| Always, for one patient | 280 | 69.3 | |
| Re-processing of N95 respirator | |||
| Yes | 119 | 29.5 | |
| No | 285 | 70.5 | |
| Total | 404 | 100.0 | |
PPE: personal protective equipment.
*According to published guidelines.
Fig. 2Perception of shortage in PPE supplies by study respondents (n = 333).
Fig. 3The extended use of PPE by study respondents (n = 356).
Relation between participants’ compliance to proper PPE use and their personal, work-related characteristics and exposure to SARS-CoV-2 (n = 404).
| Characteristics | Proper PPE use | Total No. (%) | X2 Test | ||
|---|---|---|---|---|---|
| Non-compliant No. (%) | Compliant No. (%) | ||||
| Personal characteristics | |||||
| Age (years) | |||||
| 20−29 | 31(16.4) | 34(15.8) | 65(16.1) | 1.61 | .66 |
| 30−39 | 89(47.1) | 104(48.4) | 193(47.8) | ||
| 40−49 | 36(19.0) | 48(22.3) | 84(20.8) | ||
| 50+ | 33(17.5) | 29(13.5) | 62(15.3) | ||
| Mean ± SD | 36.6 ± 8.4 | ||||
| Gender | |||||
| Males | 84 (39.1) | 92 (48.7) | 176 (43.6) | 3.8 | 0.05 |
| Females | 131 (60.9) | 97 (51.3) | 228 (56.4) | ||
| Chronic health problems | |||||
| No | 152 (70.7) | 127 (67.2) | 279 (69.1) | 0.56 | 0.45 |
| Yes | 63 (29.3) | 62 (32.8) | 125 (30.9) | ||
| Work characteristics | |||||
| Work experience (years) | |||||
| ≤10 | 101 (47.0) | 81 (42.9) | 182 (45.0) | 5.9 | 0.05 |
| 11−20 | 85 (39.5) | 65 (34.4) | 150 (37.1) | ||
| > 20 | 29 (13.5) | 43 (22.8) | 72 (17.8) | ||
| Occupation | |||||
| Physician | 111 (51.6) | 108 (57.1) | 219 (54.2) | 20.3 | 0.005 |
| Pharmacist | 38 (17.7) | 9 (4.8) | 47 (11.6) | ||
| Dentist | 6 (2.8) | 8 (4.2) | 14 (3.5) | ||
| Nurse | 3 (1.4) | 2 (1.1) | 5 (1.2) | ||
| Ancillary staff | 29 (13.5) | 40 (21.2) | 69 (17.1) | ||
| Technician | 8 (3.7) | 4 (2.1) | 12 (3.0) | ||
| Others | 2 (0.9) | 1 (0.5) | 3 (0.7) | ||
| Medical Specialty | |||||
| Surgical | 21 (18.1) | 11 (8.9) | 32 (13.4) | 13.2 | <0.001 |
| ICU & anesthesia | 18 (15.5) | 34 (27.6) | 52 (21.8) | ||
| Medical | 40 (34.5) | 43 (35.0) | 83 (34.7) | ||
| Diagnostics | 24 (20.7) | 25 (20.3) | 49 (20.5) | ||
| Others | 13 (11.2) | 10 (8.1) | 23 (9.6) | ||
| Type of facility | |||||
| Hospital | 175 (81.4) | 160 (84.7) | 335 (82.9) | 0.76 | 0.39 |
| Non-Hospital | 40 (18.6) | 29 (15.3) | 69 (17.1) | ||
| Nature of work | |||||
| Full time | 176 (81.9) | 163 (86.2) | 339 (83.9) | 1.43 | 0.23 |
| Part time | 39 (18.1) | 26 (13.8) | 65 (16.1) | ||
| Work duration (hours/day) | |||||
| <8 | 77 (35.8) | 39 (20.6) | 116 (28.7) | 11.3 | 0.001 |
| ≥8 | 138 (64.2) | 150 (79.4) | 288 (71.3) | ||
| Work in isolation hospital | |||||
| No | 126 (58.6) | 80 (42.3) | 206 (51.0) | 10.7 | 0.001 |
| Yes | 89 (41.4) | 109 (57.7) | 198 (49.0) | ||
| Exposure to COVID-19 patient(s) | |||||
| No | 92 (42.8) | 43 (22.8) | 135 (33.4) | 18.2 | <0.001 |
| Yes | 123 (57.2) | 146 (77.2) | 269 (66.6) | ||
| Risk of exposure to SARS-CoV-2 | |||||
| Low | 34 (27.6) | 58 (39.7) | 92 (34.2) | 4.3 | 0.04 |
| High | 89 (72.4) | 88 (60.3) | 177 (65.8) | ||
| COVID-19 acquisition status | |||||
| No | 178 (82.8) | 135 (71.4) | 313 (77.5) | 7.4 | 0.006 |
| Yes | 37 (17.2) | 54 (28.6) | 91 (22.5) | ||
| Shortage in PPE | |||||
| No | 26 (12.1) | 45 (23.8) | 71 (17.6) | 9.5 | 0.002 |
| Yes | 189 (87.9) | 144 (76.2) | 333 (82.4) | ||
| Extended PPE use | |||||
| No | 20 (9.3) | 28 (14.8) | 48 (11.9) | 2.9 | 0.09 |
| Yes | 195 (90.7) | 161 (85.2) | 356 (88.1) | ||
| Total | 215 (53.2) | 189 (46.8) | 404 (100.0) | ||
COVID-19: Coronavirus Disease 2019, ICU: Intensive Care Unit, PPE: Personal Protective Equipment, SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2.
health inspector, hospital administrators.
General physicians, family medicine, dermatology.
p ≤ 0.05 is significance.
Regression analysis for predicting factors of compliance to proper use of PPE among participating HCWs.
| Variable | B | Wald | OR | 95% C.I. | ||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Gender | −0.44 | 1.81 | 0.18 | 0.64 | 0.34 | 1.22 |
| Work experience | 0.09 | 0.18 | 0.67 | 1.09 | 0.72 | 1.68 |
| Occupation | −0.11 | 2.53 | 0.11 | 0.89 | 0.79 | 1.03 |
| Medical specialty | 0.05 | 0.58 | 0.45 | 1.05 | 0.93 | 1.19 |
| Work duration | 0.52 | 1.76 | 0.19 | 1.68 | 0.78 | 3.60 |
| Work in isolation hospitals | 0.16 | 0.21 | 0.65 | 1.17 | 0.59 | 2.29 |
| Exposure to patients with COVID-19 | 1.01 | 5.59 | 0.02 | 2.75 | 1.19 | 6.35 |
| Risky exposure to SARS-CoV-2 | 0.79 | 4.22 | 0.04 | 2.21 | 1.04 | 4.71 |
| COVID-19 infected | 0.21 | 0.32 | 0.57 | 1.23 | 0.59 | 2.53 |
| Shortage in PPE | −0.36 | 0.82 | 0.37 | 0.68 | 0.29 | 1.57 |
| Prior training on the proper use of PPE | 1.5 | 17.05 | <.001 | 4.59 | 2.22 | 9.47 |
| Constant | −2.2 | 3.92 | 0.048 | 0.12 | ||
B = unstandardized β" regression coefficient." β = standardized β. OR = odds ratio.
p ≤ 0.05 is significant.