| Literature DB >> 32420926 |
Matteo Riccò1, Pietro Ferraro2, Giovanni Gualerzi3, Silvia Ranzieri4, Nicola Luigi Bragazzi5, Federica Balzarini6, Carlo Signorelli7.
Abstract
INTRODUCTION: The present study aims to characterize knowledge, attitudes and beliefs in a sample of medical professionals towards point-of-care (POC) rapid tests for SARS-CoV-2 in Italy (April 2020).Entities:
Mesh:
Year: 2020 PMID: 32420926 PMCID: PMC7569620 DOI: 10.23750/abm.v91i2.9573
Source DB: PubMed Journal: Acta Biomed ISSN: 0392-4203
Characteristics of the 561 Medical workers (MD) participating into the survey on Point-of-Care (POC) tests for COVID-19 (Italy; April 2020). All the comparisons were performed by means of chi squared test (note: HRCT = high-resolution chest tomography; RT-PCT = real-time polymerase chain reaction)
| 23, 4.1% | |
| 159, 28.3% | |
| 228, 40.6% | |
| 88, 15.7% | |
| 63, 11.2% | |
| 239, 42.6% | |
| 322, 57.4% | |
| 236, 42.1% | |
| 117, 20.9% | |
| 65, 11.6% | |
| 99, 17.6% | |
| 24, 4.3% | |
| 20, 3.6% | |
| 53, 9.4% | |
| 291, 51.9% | |
| 219, 39.0% | |
| 226, 40.3% | |
| 225, 40.1% | |
| 62, 11.1% | |
| 397, 70.8% | |
| 107, 19.1% | |
| 27, 4.8% | |
| 24, 4.3% | |
| 6, 1.1% | |
| 0, - | |
| 40, 7.1% | |
| 18, 3.2% | |
| 492, 87.7% | |
| 11, 2.0% | |
| 92, 16.4% | |
| 95, 16.9% | |
| 235, 41.9% | |
| 122, 21.7% | |
| 17, 3.0% | |
| 54, 9.6% | |
| 112, 19.9% | |
| 256, 45.7% | |
| 125, 22.3% | |
| 14, 2.4% | |
| 85, 15.2% | |
| 28, 5.0% | |
| 68, 12.1% | |
| 261, 46.5% | |
| 51, 9.1% | |
| 60, 10.7% | |
| 8, 1.4% | |
| 146, 26.0% | |
| 326, 58.1% | |
| 226, 40.3% | |
| 216, 38.5% | |
| 410, 73.1% | |
| 394, 70.2% | |
| 323, 57.6% | |
| 110, 19.6% | |
| 51, 9.1% | |
| 6, 1.1% | |
| 12, 2.1% | |
| 59, 10.5% |
Association of the outcome variables “likely to change daily practice because of Point-of-Care (POC) rapid tests for COVID-19”, and “make clinical decisions based on the results of POC rapid tests for COVID-19” with the individual characteristics of 561 medical doctors included in the analyses (Italy, April 2020). Comparisons were performed by means of chi squared test.
| Somewhat agree (No./226, %) | Somewhat disagree (No./335; %) | P value | Somewhat agree (No./216, %) | Somewhat disagree (No./345, %) | P value | |
| 69, 30.5% | 82, 24.5% | 0.113 | 79, 22.9% | 72, 33.3% | 0.007 | |
| 115, 50.9% | 124, 37.0% | 0.001 | 123, 56.9 | 116, 33.6% | < 0.001 | |
| < 0.001 | < 0.001 | |||||
| 64, 28.3% | 172, 51.3% | 61, 28.2% | 175, 50.7% | |||
| 59, 26.1% | 58, 17.3% | 47, 21.8% | 70, 20.3% | |||
| 28, 12.4% | 37, 11.0% | 27, 12.5% | 38, 11.0% | |||
| 51, 22.6% | 48, 14.3% | 51, 23.6% | 48, 13.9% | |||
| 15, 6.6% | 9, 2.7% | 18, 8.3% | 6, 1.7% | |||
| 9, 4.0% | 11, 3.3% | 12, 5.6% | 8, 2.3% | |||
| 20, 8.8% | 33, 9.9% | 0.691 | 20, 9.3% | 33, 9.6% | 0.904 | |
| 101, 44.7% | 190, 56.7% | 0.005 | 106, 49.1% | 185, 53.6% | 0.294 | |
| 93, 41.2% | 126, 37.6% | 0.399 | 89, 41.2% | 130, 37.7% | 0.405 | |
| 95, 42.0% | 131, 39.1% | 0.488 | 89, 41.2% | 137, 39.7% | 0.726 | |
| 73, 32.3% | 152, 45.4% | 0.002 | 90, 41.7% | 135, 39.1% | 0.551 | |
| 35, 15.5% | 27, 8.1% | 0.006 | 23, 10.6% | 39, 11.3% | 0.809 | |
| 151, 66.8% | 246, 73.4% | 0.091 | 147, 68.1% | 250, 72.5% | 0.264 | |
| 196, 86.7% | 296, 88.4% | 0.564 | 183, 84.7% | 309, 89.6% | 0.089 | |
| 99, 43.8% | 136, 40.6% | 0.450 | 105, 48.6% | 130, 37.7% | 0.011 | |
| 64, 28.3% | 61, 18.2% | 0.005 | 48, 22.2% | 77, 22.3% | 0.979 | |
| 6, 2.7% | 54, 16.1% | < 0.001 | 9, 4.2% | 51, 14.8% | < 0.001 | |
| 110, 48.7% | 36, 10.7% | < 0.001 | 101, 46.8% | 45, 13.0% | < 0.001 | |
| 205, 90.7% | 121, 36.1% | < 0.001 | 192, 88.9% | 134, 38.8% | < 0.001 | |
| 169, 74.8% | 241, 71.9% | 0.457 | 156, 72.2% | 254, 73.6% | 0.716 | |
| 153, 67.7% | 241, 71.9% | 0.281 | 144, 66.7% | 250, 72.5% | 0.144 | |
| 123, 54.4% | 200, 59.7% | 0.215 | 113, 52.3% | 210, 60.9% | 0.046 | |
Multivariate analysis of main drivers of the outcome variables “likely to change daily practice because of POC (Point-of-Care) rapid tests for COVID-19”, and “make clinical decisions based on the results of POC rapid tests for COVID-19”. A binary logistic regression analysis was modeled by including all variables that, in univariate analysis, were associate p < 0.05 with the outcome variables, and calculating correspondent adjusted Odds Ratio (aOR) with their 95% Confidence Intervals (95%CI).
| aOR | 95%CI | aOR | 95%CI | |
| - | - | 1.714 | 1.025; 2.865 | |
| 1.893 | 1.183; 3.029 | 2.876 | 1.838; 4.502 | |
| 0.500 | 0.306; 0.817 | 0.518 | 0.323; 0.800 | |
| 0.643 | 0.401; 1.030 | - | - | |
| 1.031 | 0.640; 1.686 | - | - | |
| 0.713 | 0.340; 1.492 | - | - | |
| - | - | 1.175 | 0.756; 1.824 | |
| 1.629 | 0.947; 2.801 | - | - | |
| 0.152 | 0.054; 0.423 | 0.334 | 0.138; 0.808 | |
| 6.858 | 3.977; 11.824 | 4.267 | 2.624; 6.939 | |
| 12.872 | 7,318; 22.640 | 10.021 | 5.905; 17.006 | |
| - | - | 1.105 | 0.709; 1.723 | |