Evidence map›Paper›PMID 34908656›Full record

ReviewIndustrial psychiatry journal2021

COVID-19 pandemic, mental health care, and the UK.

Dinesh Bhugra, Andrew Molodynski, Sam Nishanth Gnanapragasam

Open access · goldAbstract readReview
In one paragraph

Review in Industrial psychiatry journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
  2. Article
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

3 authors at 2 institutions in 2 countries.

Dinesh BhugraDepartment of Mental Health and Cultural Diversity, Institute of Psychiatry, Psychology and Neuroscience, Kings College, London, England.
Andrew MolodynskiDepartment of Psychiatry, Oxford University, Oxford, England.
Sam Nishanth GnanapragasamDepartiment of Psychiatry, South London and Maudsley Foundation NHS Trust, Denmark Hill, London, England.
King's College London · GBKing's College - North Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unprecedented SARS-2 COVID-19 pandemic has had a profound impact on individuals, families, and societies worldwide. The impact of the illness does not only directly relate to poor health on infection but also social and political determinants of health. As such, the secondary effects of the pandemic have been profound. Mental health and well-being have been one such area of concern, with the causal links thought to occur in three ways. First: the impact on general population, particularly vulnerable groups such as BAME individuals; Second: the impact on people with pre-existing psychiatric disorders; Third: mental health of COVID patients and those who have recovered and their careers. There are lessons to be learnt from previous pandemics and the impact on mental health. There are high levels of anxiety, depression, substance use (particularly alcohol), posttraumatic stress symptoms, and survivor guilt. Within this context, there is a need to consider the differential impact on underprivileged populations. Vulnerable groups include women, children, elderly, minority racial and ethnic groups, LGBT + individuals and the poor. It is noted that these classifications are met with challenges related to definition, and there is significant heterogeneity within the groups and the focus on race, gender, and poverty must be seen through an intersectional lens.

Indexed as

COVID-19pandemicpsychiatric disordersvulnerable populations

Identifiers

PMID34908656
PMCPMC8611549
OpenAlexW3210075815

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.