Evidence map›Paper›PMID 34727110›Full record

ArticlePloS one2021

Anxiety and depression among medical doctors in Catalonia, Italy, and the UK during the COVID-19 pandemic.

Climent Quintana-Domeque, Ines Lee, Anwen Zhang, Eugenio Proto, Michele Battisti, Antonia Ho

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Climent Quintana-DomequeDepartment of Economics, Business School, University of Exeter, Exeter, United Kingdom.ORCID 0000-0002-6626-6261
Ines LeeFaculty of Economics, University of Cambridge, Cambridge, United Kingdom.
Anwen ZhangDepartment of Economics, Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom.
Eugenio ProtoIZA, Bonn, Germany.
Michele BattistiIZA, Bonn, Germany.
Antonia HoMRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom.ORCID 0000-0003-1465-3785
Ifo Institute for Economic Research · DEAdam Smith Institute · GBIZA - Institute of Labor Economics · DEMRC University of Glasgow Centre for Virus Research · GBUniversity of Cambridge · GB

Funding

Medical Research Council MC_PC_19026Medical Research Council MC_UU_12014/9
6 · The paper itself

Abstract

Healthcare workers have had the longest and most direct exposure to COVID-19 and consequently may suffer from poor mental health. We conducted one of the first repeated multi-country analysis of the mental wellbeing of medical doctors (n = 5,275) at two timepoints during the COVID-19 pandemic (June 2020 and November/December 2020) to understand the prevalence of anxiety and depression, as well as associated risk factors. Rates of anxiety and depression were highest in Italy (24.6% and 20.1%, June 2020), second highest in Catalonia (15.9% and 17.4%, June 2020), and lowest in the UK (11.7% and 13.7%, June 2020). Across all countries, higher risk of anxiety and depression symptoms were found among women, individuals below 60 years old, those feeling vulnerable/exposed at work, and those reporting normal/below-normal health. We did not find systematic differences in mental health measures between the two rounds of data collection, hence we cannot discard that the mental health repercussions of the pandemic are persistent.

Indexed as

AdultAnxietyCOVID-19DepressionFemaleHealth PersonnelHumansItalyMaleMiddle AgedOccupational DiseasesPandemicsPhysicians

Identifiers

PMID34727110
PMCPMC8562811
OpenAlexW3210999064

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.