Evidence map›Paper›PMID 38759385›Full record

ArticleSocial science & medicine (1982)2024

Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis.

Daniel Kopasker, Patryk Bronka, Rachel M Thomson, Vladimir Khodygo, Theocharis Kromydas, Petra Meier, Alison Heppenstall, Clare Bambra, Nik Lomax, Peter Craig and 2 more

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

12 authors.

Daniel KopaskerMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK. Electronic address: Daniel.Kopasker@glasgow.ac.uk.
Patryk BronkaCentre for Microsimulation and Policy Analysis, University of Essex, UK.
Rachel M ThomsonMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Vladimir KhodygoMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Theocharis KromydasMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Petra MeierMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Alison HeppenstallMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK; School of Political and Social Sciences, University of Glasgow, UK.
Clare BambraPopulation Health Sciences Institute, Newcastle University, UK.
Nik LomaxSchool of Geography, University of Leeds, UK.
Peter CraigMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Matteo RichiardiCentre for Microsimulation and Policy Analysis, University of Essex, UK.
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.

Funding

Chief Scientist Office SPHSU17Chief Scientist Office SPHSU20European Research Council 949582Medical Research Council MC_UU_00022/2Medical Research Council MC_UU_00022/5Wellcome Trust 218105
6 · The paper itself

Abstract

Economic determinants are important for population health, but actionable evidence of how policies can utilise these pathways remains scarce. This study employs a microsimulation framework to evaluate the effects of taxation and social security policies on population mental health. The UK economic crisis caused by the COVID-19 pandemic provides an informative context involving an economic shock accompanied by one of the strongest discretionary fiscal responses amongst OECD countries. The analytical setup involves a dynamic, stochastic, discrete-time microsimulation model (SimPaths) projecting changes in psychological distress given predicted economic outcomes from a static tax-benefit microsimulation model (UKMOD) based on different policy scenarios. We contrast projections of psychological distress for the working-age population from 2017 to 2025 given the observed policy environment against a counterfactual scenario where pre-crisis policies remained in place. Levels of psychological distress and potential cases of common mental disorders (CMDs) were assessed with the 12-item General Health Questionnaire (GHQ-12). The UK policy response to the economic crisis is estimated to have prevented a substantial fall (over 12 percentage points, %pt) in the employment rate in 2020 and 2021. In 2020, projected psychological distress increased substantially (CMD prevalence increase >10%pt) under both the observed and the counterfactual policy scenarios. Through economic pathways, the policy response is estimated to have prevented a further 3.4%pt [95%UI 2.8%pt, 4.0%pt] increase in the prevalence of CMDs, approximately 1.2 million cases. Beyond 2021, as employment levels rapidly recovered, psychological distress returned to the pre-pandemic trend. Sustained preventative effects on poverty are estimated, with projected levels 2.1%pt [95%UI 1.8%pt, 2.5%pt] lower in 2025 than in the absence of the observed policy response. The study shows that policies protecting employment during an economic crisis are effective in preventing short-term mental health losses and have lasting effects on poverty levels. This preventative effect has substantial public health benefits.

Indexed as

COVID-19Economic RecessionPsychological DistressSocial SecurityTaxesAdultComputer SimulationEmploymentFemaleHumansMaleMental HealthMiddle AgedPandemicsPublic PolicyStress, PsychologicalEconomic determinants of healthMental healthMicrosimulationPolicy evaluationSocial security

Identifiers

PMID38759385
PMCPMC7617584

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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.