| Literature DB >> 33044978 |
Elena Savoia1, Giorgia Argentini2, Davide Gori3, Elena Neri4, Rachael Piltch-Loeb1, Maria Pia Fantini3.
Abstract
OBJECTIVES: During the course of the Novel Coronavirus (SARS-CoV-2) pandemic, Italy has reported one of the highest number of infections. Nearly ten percent of reported coronavirus infections in Italy occurred in healthcare workers. This study aimed to understand physicians' access to personal protective equipment (PPE) and to information about their use, risk perception and strategies adopted to prevent contracting the infection.Entities:
Mesh:
Year: 2020 PMID: 33044978 PMCID: PMC7549784 DOI: 10.1371/journal.pone.0239024
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Dependent variables: Survey questions and coding.
| Dependent variables | Coding of responses |
|---|---|
| 1 = rarely/never | |
| 2 = sometimes | |
| 3 = always | |
| 1 = rarely/never | |
| 2 = sometimes | |
| 3 = always | |
| 0 = I do not know how to don or doff the piece of equipment | |
| 1 = I am not sure | |
| 2 = I know how to do it | |
| NB: We combined all responses for each piece of equipment into a scoring system to create a new variable named “ | |
| Scale 0 = no risk to 100 = high risk subsequently responses were coded as follows: | |
| 1 = low risk (≤ 25th percentile), | |
| 2 = medium risk (26th-75th percentile) and | |
| 3 = high risk (>75th percentile). |
Respondents’ characteristics (n = 516).
| 18–25 | 4 (1%) |
| 26–35 | 89 (17%) |
| 36–50 | 202 (40%) |
| 51–65 | 197 (38%) |
| >65 | 24 (4%) |
| <5 | 104 (20%) |
| 5–10 | 71 (14%) |
| 11–20 | 155 (30%) |
| 21–30 | 96 (18%) |
| >30 | 90 (17%) |
| Abruzzo | 15 (3%) |
| Basilicata | 2 (0.4%) |
| Calabria | 10 (1.9%) |
| Campania | 39 (7.5%) |
| Emilia Romagna | 45 (9%) |
| Friuli Venezia Giulia | 34 (6%) |
| Lazio | 68 (13%) |
| Liguria | 12 (2.3%) |
| Lombardia | 70 (13.5%) |
| Marche | 10 (2%) |
| Molise | 2 (0.4%) |
| Piemonte | 44 (8.5%) |
| Puglia | 15 (2.9%) |
| Sardegna | 17 (3.3%) |
| Sicilia | 40 (8%) |
| Toscana | 31 (6%) |
| Trentino Alto Adige | 6 (1.2%) |
| Umbria | 18 (3.5%) |
| Valle d'Aosta | 1 (0.2%) |
| Veneto | 36 (6.9%) |
| Republic of San Marino | 1 (0.3%) |
| Missing | 13 (2%) |
| Employed by the national healthcare system | 301 (58%) |
| Medical Resident | 50 (10%) |
| Adult primary care physician | 43 (8%) |
| Pediatric primary care physician | 25 (5%) |
| Independent contractor | 60 (12%) |
| Ambulatory care physician at the territorial level | 11 (2%) |
| Other | 26 (5%) |
| Unit dedicated to COVID-19 patients | 93 (18%) |
| Unit non dedicated to COVID-19 patients | 330 (64%) |
| Both type of units (A & B) | 50 (10%) |
| Other | 43 (8%) |
| Pediatrics | 66 (13%) |
| Primary care | 35 (7%) |
| Anesthesiology—Intensive Care Medicine | 29 (6%) |
| Cardiology | 33 (6%) |
| Psychiatry | 27 (5%) |
| Gynecology -OBGYN | 22 (4%) |
| Radiology | 22 (4%) |
| Emergency Medicine | 18 (3%) |
| Internal Medicine | 19 (3%) |
| Geriatrics | 18 (3%) |
| General Surgery | 15 (3%) |
| Neurology | 13 (2%) |
| Orthopedics | 10 (2%) |
| Gastroenterology | 12 (2%) |
| Preventive Medicine | 11 (2%) |
| Pneumology | 8 (1%) |
| Ophthalmology | 8 (1%) |
| Otolaryngology | 7 (1%) |
| Oncology | 7 (1%) |
| Dentistry | 7 (1%) |
| Occupational Medicine | 6 (1%) |
| Dermatology | 5 (1%) |
| No specialty | 43 (8%) |
| Other | 78 (15%) |
*Over 40 specialties were reported
Percent of physicians reporting level of PPE needed compared to recommendations at the time of survey for twelve scenarios.
| NO surgical mask, YES FFP2 (% of the total answers) | NO surgical mask, YES FFP3 (% of the total answers) | NO surgical mask, YES FFP2 OR FFP3 (% of the total answers) | NO surgical mask, NO FFP2 OR FFP3 (% of the total answers) | YES surgical mask, YES FFP2 (% of the total answers) | YES surgical mask, YES FFP3 (% of the total answers) | YES surgical mask, YES FFP2 OR FFP3 (% of the total answers) | YES surgical mask, NO FFP2 OR FFP3 (% of the total answers) | Total answers | Do not know | |
|---|---|---|---|---|---|---|---|---|---|---|
Fig 1Ability to perform donning and doffing procedures by piece of PPE.
Predictors of physicians’ access to PPE, information about the use of PPE, donning and doffing performance, and risk perception at work (n = 516).
| Independent variables | Multiple regression models—Odds ratios and 95% confidence limits | |||
|---|---|---|---|---|
| Access to PPE | Information received about the use of PPE | Ability to perform donning and doffing procedures | Risk perception of contracting COVID-19 at work | |
| Years of work experience (<5;5–10;11–20;21–30;>30) | Excluded after bivariate analysis | 1.1 [1–1.3] | 1.3 [1.1–1.5] | Excluded after bivariate analysis |
| Working in a COVID-19 unit (Yes = 1; No = 0) | 3.8 [2.5–5.7] | 1.8 [1.2–2.5] | 2.3 [1.5–3.5] | 3 [1.4–2.9] |
| Region (North/Central = 1; South = 0) | 2 [1.4–3] | Excluded after bivariate analysis | 1.5 [1–2.3] | Excluded after bivariate analysis |
| Working as an adult primary care physician (Yes = 1; No = 0) | 0.5 [0.3–1] | 0.6 [0.3–1] | 0.5 [0.2–1] | Excluded after bivariate analysis |
| Receiving adequate information about the use of PPE (Never/Rarely = 1;2 = Sometimes;3 = Always) | Excluded after bivariate analysis | Excluded after bivariate analysis | 2.4 [1.9–3.2] | 0.5 [0.4–0.7] |
| Adequate access to PPE (Never/Rarely = 1;2 = Sometimes;3 = Always) | Not included | Not included | Not included | 0.6 [0.5–0.8] |
*ordered logistic regression
** logistic regression
N/A = excluded after bivariate analysis