Evidence map›Paper›PMID 35682058›Full record

ArticleInternational journal of environmental research and public health2022

Optimizing Strategies for Improving Mental Health in Victoria, Australia during the COVID-19 Era: A System Dynamics Modelling Study.

Catherine Vacher, Nicholas Ho, Adam Skinner, Jo Robinson, Louise Freebairn, Grace Yeeun Lee, Frank Iorfino, Ante Prodan, Yun Ju C Song, Jo-An Occhipinti and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

11 authors.

Catherine VacherBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-6923-0993
Nicholas HoBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
Adam SkinnerBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
Jo RobinsonOrygen, Parkville, VIC 3052, Australia.ORCID 0000-0001-5652-918X
Louise FreebairnBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-7434-870X
Grace Yeeun LeeBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-7234-1870
Frank IorfinoBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
Ante ProdanBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0001-9684-7967
Yun Ju C SongBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
Jo-An OcchipintiBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-2380-1092
Ian B HickieBrain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing COVID-19 pandemic has impacted the mental health of populations and highlighted the limitations of mental health care systems. As the trajectory of the pandemic and the economic recovery are still uncertain, decision tools are needed to help evaluate the best interventions to improve mental health outcomes. We developed a system dynamics model that captures causal relationships among population, demographics, post-secondary education, health services, COVID-19 impact, and mental health outcomes. The study was conducted in the Australian state of Victoria. The model was calibrated using historical data and was stratified by age group and by geographic remoteness. Findings demonstrate that the most effective intervention combination includes economic, social, and health sector initiatives. Assertive post-suicide attempt care is the most impactful health sector intervention, but delaying implementation reduces the potency of its impact. Some evidence-based interventions, such as population-wide community awareness campaigns, are projected to worsen mental health outcomes when implemented on their own. Systems modelling offers a powerful decision-support tool to test alternative strategies for improving mental health outcomes in the Victorian context.

Indexed as

COVID-19Mental HealthHumansPandemicsVictoriadecision analysismental healthsystems modelling

Identifiers

PMID35682058
PMCPMC9180267

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.