| Literature DB >> 35091891 |
Vojtech Mezera1,2, Anne W Ekdahl3, Dominic Bertschi4, Maria Bonnici5,6,7, Rui Buzaco8, Santiago Cotobal Rodeles9, Kseniia Eruslanova10, Lubov Matchekhina10, Laura Monica Perez Bazan11, Itxaso Marin Epelde12, Marina Kotsani13, Grazia Daniela Femminella14, Meltem Koca15, Marian Dejaeger16,17.
Abstract
The COVID-19 pandemic has severely affected older adults and brought about unprecedented challenges to geriatricians. We aimed to evaluate the experiences of early career geriatricians (residents or consultants with up to 10 years of experience) throughout Europe using an online survey. We obtained 721 responses. Most of the respondents were females (77.8%) and residents in geriatric medicine (54.6%). The majority (91.4%) were directly involved in the care of patients with COVID-19. The respondents reported moderate levels of anxiety and feelings of being overloaded with work. The anxiety levels were higher in women than in men. Most of the respondents experienced a feeling of a strong restriction on their private lives and a change in their work routine. The residents also reported a moderate disruption in their training and research activities. In conclusion, early career geriatricians experienced a major impact of COVID-19 on their professional and private lives.Entities:
Keywords: Anxiety; COVID-19; Early career geriatricians; Survey; Training
Mesh:
Year: 2022 PMID: 35091891 PMCID: PMC8799436 DOI: 10.1007/s41999-021-00605-1
Source DB: PubMed Journal: Eur Geriatr Med ISSN: 1878-7649 Impact factor: 1.710
Fig. 1Flowchart of respondents
Demographic characteristics of the respondents
| Parameter | Option | % ( |
|---|---|---|
| Age | < 25 years | 3.5 (29) |
| 25–29 years | 18.3 (152) | |
| 30–34 years | 30.0 (250) | |
| 35–39 years | 21.3 (177) | |
| > 40 years | 26.8 (223) | |
| Gender | Male | 22.1 (159) |
| Female | 77.8 (561) | |
| No answer | 0.1 (1) | |
| Professional group | Resident in training, geriatric medicine | 54.6 (394) |
| Consultant in geriatric medicine | 45.4 (327) | |
| Median (IQ range) | ||
| Years as consultants | 3 (3) | |
| % ( | ||
| Work site | University hospital | 50.3 (363) |
| Regional hospital | 23.2 (167) | |
| Local hospital | 18.3 (132) | |
| Private clinic | 4.2 (30) | |
| Other facility | 4.0 (29) | |
| Working environment | Pre-hospital emergency medical care | 2.1 (15) |
| Emergency department | 15.8 (114) | |
| Acute ward (general) | 16.2 (117) | |
| Acute ward (geriatric) | 60.6 (437) | |
| Long-term care | 10.5 (76) | |
| Rehabilitation ward | 10.4 (75) | |
| Nursing home | 7.5 (54) | |
| Palliative care | 8.9 (64) | |
| Geriatric mobile team | 8.2 (59) | |
| Primary care (family doctor, general practitioner) | 3.3 (24) | |
| Outpatient clinic | 18.3 (132) | |
| Other | 4.3 (31) | |
| % ( | ||
| Country where the participants are working | Albania | 0.1 (1) |
| Austria | 0.3 (2) | |
| Belarus | 0.1 (1) | |
| Belgium | 6.2 (45) | |
| Croatia | 0.1 (1) | |
| Czech Republic | 2.9 (21) | |
| Denmark | 1.2 (9) | |
| Estonia | 0.4 (3) | |
| Finland | 2.1 (15) | |
| France | 11.5 (83) | |
| Germany | 1.4 (10) | |
| Greece | 0.1 (1) | |
| Hungary | 0.3 (2) | |
| Iceland | 0.1 (1) | |
| Ireland | 0.7 (5) | |
| Israel | 0.3 (2) | |
| Italy | 8.0 (58) | |
| Latvia | 0.1 (1) | |
| Lithuania | 1.4 (10) | |
| Malta | 0.7 (5) | |
| The Netherlands | 4.2 (30) | |
| North Macedonia | 0.3 (2) | |
| Norway | 0.7 (5) | |
| Poland | 1.1 (8) | |
| Portugal | 0.6 (4) | |
| Romania | 0.4 (3) | |
| Russia | 7.4 (53) | |
| Serbia | 0.1 (1) | |
| Slovenia | 1.8 (13) | |
| Spain | 22.3 (161) | |
| Sweden | 5.1 (37) | |
| Switzerland | 3.2 (23) | |
| Turkey | 4.7 (34) | |
| United Kingdom | 5.0 (36) | |
| No answer | 4.9 (35) | |
| Directly involved in the care of patients with COVID-19 | Yes | 91.4 (659) |
| No | 8.3 (60) | |
| Other | 0.3 (2) | |
| Where did the care for patients with COVID-19 take place | At the regular work site | 65.5 (472) |
| Mobilized to other work locations | 8.0 (58) | |
| Combination of both | 18.0 (130) | |
| Other or no answer | 8.5 (61) |
The frequency data are given as percentages (absolute number). The continuous variables are shown as median value [interquartile (IQ) range]
Optimistic insights/benefits of the pandemic
| Option | % ( |
|---|---|
| Nothing good came out of it | 7.6 (55) |
| The abundance of free online educational material | 35.5 (256) |
| Easy access to the EuGMS E-Congress 2020 | 19.0 (137) |
| The fast development of telemedicine | 41.6 (300) |
| A wave of solidarity | 29.7 (214) |
| A new feeling of appreciation and/or respect toward healthcare workers | 21.8 (157) |
| An opportunity to learn something new | 43.6 (314) |
| An opportunity to work alongside health care professionals of other specialties | 41.3 (298) |
| The impression that there was an increased focus on the care of older people | 18.3 (132) |
| I found that the specialty of geriatric medicine was further recognized by other medical specialties | 28.0 (202) |
| Others, please specify | 6.2 (45) |