| Literature DB >> 35627989 |
Nicolas Braun1, Clément Cormi1, Michel Van Rechem2, Jan Chrusciel1, Stéphane Sanchez1,3.
Abstract
BACKGROUND: General practitioners (GPs) played a decisive role during the COVID-19 epidemic, particularly in the identification and care of patients at home. This study aimed to describe the primary care physicians' perceptions of the COVID-19 crisis and to guide future decisions regarding measures to prolong, abrogate, or improve upon methods for crisis management.Entities:
Keywords: COVID-19; general practice; health policy; information dissemination; information literacy
Year: 2022 PMID: 35627989 PMCID: PMC9140395 DOI: 10.3390/healthcare10050852
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Characteristics of the participants and the main results of the survey, according to satisfaction.
| Characteristics | Not Satisfied | Satisfied | Total | Unadjusted OR (95%CI) | |
|---|---|---|---|---|---|
| Male | 57 (62.0%) | 41 (68.3%) | 98 (64.5%) | 0.755 (0.379–1.501) | 0.422 |
| Female | 35 (38%) | 19 (31.7%) | 54 (35.5%) | ||
| Age < 50 years | 39 (42.1%) | 20 (33.3%) | 59 (38.8%) | 1.472 (0.747–2.898) | 0.263 |
| General Practitioner | 68 (73.9%) | 39 (65%) | 107 (70.4%) | 0.655 (0.324–1.327) | 0.239 |
| Practicing < 25 years | 33 (35.9%) | 20 (33.3%) | 53 (34.9%) | 1.119 (0.564–2.220) | 0.742 |
|
| |||||
| Insufficient | 44 (75.9%) | 12 (30.0%) | 56 (57.1%) |
| <0.001 |
| Difficult to access | 34 (53.1%) | 8 (18.6%) | 42 (39.3%) |
| <0.001 |
| Overall, not well informed | 48 (75.0%) | 14 (30.4%) | 62 (56.4%) |
| <0.001 |
|
| |||||
| Information sent by hospitals about the organization of healthcare delivery during the crisis was insufficient | 72 (91.1%) | 35 (79.5%) | 107 (87.0%) | 2.645 (0.910–7.689) | 0.067 |
| Information sent by private clinics about the organization of healthcare delivery during the crisis was insufficient | 64 (86.5%) | 26 (60.5%) | 90 (76.9%) |
| 0.001 |
|
| |||||
| No stock of PPE before | 62 (68.1%) | 38 (63.3%) | 100 (66.2%) | 1.238 (0.624–2.457) | 0.542 |
| Distribution of state-provided PPE was inadequate | 49 (53.3%) | 18 (30.0%) | 67 (44.1%) |
| 0.005 |
|
| |||||
| Mental stress | 73 (79.3%) | 35 (58.3%) | 108 (71.1%) |
| 0.005 |
| Impact on management of patients | 37 (46.3%) | 19 (48.7%) | 56 (47.1%) | 1.104 (0.513–2.376) | 0.800 |
| Aware of mental health support units | 52 (56.5%) | 35 (58.3%) | 87 (57.2%) | 1.077 (0.558–2.080) | 0.825 |
|
| |||||
| Member of a territorial healthcare professionals group | 4 (4.4%) | 6 (10.0%) | 10 (6.6%) | 2.417 (0.652–8.956) | 0.196 |
| Work in a healthcare/medical center | 31 (33.7%) | 20 (33.3%) | 51 (33.6%) | 0.984 (0.494–1.960) | 0.963 |
| Organization adapted | 25 (78.1%) | 17 (81.0%) | 11 (20.8%) | 1.190 (0.301–4.703) | 1.000 |
| Changed organization within the practice | 78 (84.8%) | 56 (93.3%) | 134 (88.2%) | 2.513 (0.785–8.040) | 0.111 |
| Consultation times according to motive for consulting | 59 (64.1%) | 41 (68.3%) | 100 (65.8%) | 1.207 (0.605–2.409) | 0.593 |
| Postponement of follow-up for chronic diseases | 35 (38.0%) | 18 (30.0%) | 53 (34.9%) | 0.698 (0.349–1.398) | 0.309 |
| Postponement of non-urgent consultations | 45 (48.9%) | 25 (41.7%) | 70 (46.1%) | 0.746(0.387–1.438) | 0.381 |
| Distribution of healthcare activities between public and private healthcare inadequate | 43 (76.8%) | 19 (67.9%) | 62 (73.8%) | 1.567 (0.572–4.288) | 0.380 |
| Increase in decompensations of chronic diseases | 56 (62.9%) | 28 (48.3%) | 84 (57.1%) | 0.550 (0.281–1.076) | 0.079 |
| Management of diseases unrelated to COVID-19 was inadequate | 63 (90.0%) | 28 (71.8%) | 91 (83.5%) |
| 0.014 |
| Stock of masks | 67 (74.4%) | 48 (82.8%) | 115 (77.7%) | 1.648 (0.719–3.778) | 0.236 |
|
| |||||
| Use telemedicine | 54 (59.3%) | 35 (58.3%) | 89 (58.9%) | 0.959 (0.495–1.860) | 0.902 |
| >50% of non-COVID-19 by telemedicine | 9 (16.7%) | 6 (17.1%) | 15 (16.9%) | 1.034 (0.333–3.214) | 0.953 |
| >50% COVID-19-related activity by telemedicine | 27 (51.9%) | 16 (45.7%) | 43 (49.4%) | 0.780 (0.330–1.841) | 0.570 |
| Use professional healthcare software solutions | 23 (25.0%) | 25 (41.7%) | 48 (31.6%) |
| 0.031 |
| Use personal communication solutions | 31 (33.7%) | 12 (20.0%) | 43 (28.3%) | 0.492 (0.229–1.058) | 0.067 |
Factors associated with overall satisfaction by multivariate logistic regression analysis.
| Characteristics | OR | 95% CI | ||
|---|---|---|---|---|
| Lower | Upper | |||
| Having been adequately informed during the pandemic |
| 4.14 | 115.53 | <0.001 |
| Information sent by private clinics about the organization of healthcare delivery during the crisis was insufficient | 0.43 | 0.08 | 2.23 | 0.32 |
| Distribution of state-provided PPE was inadequate | 0.53 | 0.13 | 2.16 | 0.38 |
| The pandemic caused mental stress for me |
| 0.03 | 0.72 | 0.02 |
| I believe the management of non-COVID-19-related diseases was insufficient |
| 1.07 | 38.51 | 0.04 |
| Use professional healthcare software solutions | 0.94 | 0.23 | 3.84 | 0.93 |