Evidence map›Paper›PMID 36732738›Full record

ArticleBMC public health2023

A health impact assessment of gender inequities associated with psychological distress during COVID19 in Australia's most locked down state-Victoria.

Belinda M Brucki, Tanmay Bagade, Tazeen Majeed

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Belinda M BruckiSchool of Medicine & Public Health, College of Health Medicine & Wellbeing, University of Newcastle, Callaghan, NSW, Australia. belinda.brucki@uon.edu.au.
Tanmay BagadeSchool of Medicine & Public Health, College of Health Medicine & Wellbeing, University of Newcastle, Callaghan, NSW, Australia.
Tazeen MajeedSchool of Medicine & Public Health, College of Health Medicine & Wellbeing, University of Newcastle, Callaghan, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince March 2020, when the COVID19 pandemic hit Australia, Victoria has been in lockdown six times for 264 days, making it the world's longest cumulative locked-down city. This Health Impact Assessment evaluated gender disparities, especially women's mental health, represented by increased levels of psychological distress during the lockdowns.

methodsA desk-based, retrospective Health Impact Assessment was undertaken to explore the health impacts of the lockdown public health directive with an equity focus, on the Victorian population, through reviewing available qualitative and quantitative published studies and grey literature.

resultsFindings from the assessment suggest the lockdown policies generated and perpetuated avoidable inequities harming mental health demonstrated through increased psychological distress, particularly for women, through psychosocial determinants.

conclusionOngoing research is needed to elucidate these inequities further. Governments implementing policies to suppress and mitigate COVID19 need to consider how to reduce harmful consequences of these strategies to avoid further generating inequities towards vulnerable groups within the population and increasing inequalities in the broader society.

Indexed as

COVID-19Gender EquityCommunicable Disease ControlFemaleHealth Impact AssessmentHealth PolicyHumansRetrospective StudiesVictoriaAustraliaCOVID19EFHIAHIAInequityLockdownMental healthPolicyWomen

Identifiers

PMID36732738
PMCPMC9894749

What OpenQuestion holds

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LicenceCC BY
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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.