Evidence map›Paper›PMID 37434497›Full record

ArticleBJPsych open2023

Investigating the impact of financial concerns on symptoms of depression in UK healthcare workers: data from the UK-REACH nationwide cohort study.

Martin McBride, Christopher A Martin, Lucy Teece, Patricia Irizar, Megan Batson, Susie Lagrata, Padmasayee Papineni, Joshua Nazareth, Daniel Pan, Alison Leary and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-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

6 citing papers in PubMed, 8 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

13 authors at 7 institutions in 1 country.

Martin McBrideDepartment of Psychiatry, Leicester Partnership NHS Trust, UK.ORCID https://orcid.org/0009-0001-5685-1766
Christopher A MartinDepartment of Respiratory Sciences, University of Leicester, UK; and Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, UK.
Lucy TeeceBiostatistics Research Group, Department of Population Health Sciences, University of Leicester, UK.
Patricia IrizarDepartment of Sociology, School of Social Sciences, Faculty of Humanities, University of Manchester, UK.
Megan BatsonLeicester Medical School, University of Leicester, UK.
Susie LagrataQueen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, UK.
Padmasayee PapineniDepartment of Infectious Diseases, Ealing Hospital, London North West University Healthcare NHS Trust, UK.
Joshua NazarethDepartment of Respiratory Sciences, University of Leicester, UK; and Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, UK.
Daniel PanDepartment of Respiratory Sciences, University of Leicester, UK; Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, UK; and Li Ka Shing Institute for Health Information and Discovery, Oxford Big Data Institute, UK.
Alison LearyDepartment of Health and Social Care, London South Bank University, UK.
Katherine WoolfUCL Medical School, University College London, UK.
Manish PareekDepartment of Respiratory Sciences, University of Leicester, UK; and Department of Infection and HIV Medicine, University Hospitals of Leicester NHS Trust, UK.
UK-REACH Study Collaborative Group
University of Leicester · GBDepartment of Health and Social Care · GBEaling Hospital · GBLeicestershire Partnership NHS Trust · GBUniversity College London · GBUniversity College London Hospitals NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

Medical Research Council MR/V027549/1
6 · The paper itself

Abstract

backgroundExploration of the association between financial concerns and depression in UK healthcare workers (HCWs) is paramount given the current 'cost of living crisis', ongoing strike action and recruitment/retention problems in the National Health Service.

aimsTo assess the impact of financial concerns on the risk of depression in HCWs, how these concerns have changed over time and what factors might predict financial concerns.

methodWe used longitudinal survey data from a UK-wide cohort of HCWs to determine whether financial concerns at baseline (December 2020 to March 2021) were associated with depression (measured with the Public Health Questionnaire-2) at follow-up (June to October 2022). We used logistic regression to examine the association between financial concerns and depression, and ordinal logistic regression to establish predictors of developing financial concerns.

resultsA total of 3521 HCWs were included. Those concerned about their financial situation at baseline had higher odds of developing depressive symptoms at follow-up. Financial concerns increased in 43.8% of HCWs and decreased in 9%. Those in nursing, midwifery and other nursing roles had over twice the odds of developing financial concerns compared with those in medical roles.

conclusionsFinancial concerns are increasing in prevalence and predict the later development of depressive symptoms in UK HCWs. Those in nursing, midwifery and other allied nursing roles may have been disproportionately affected. Our results are concerning given the potential effects on sickness absence and staff retention. Policy makers should act to alleviate financial concerns to reduce the impact this may have on a discontent workforce plagued by understaffing.

Indexed as

aetiologyDepressive disordersepidemiologyhealth economicspsychiatric nursing

Identifiers

PMID37434497
PMCPMC10375869
OpenAlexW4383999246

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.