Evidence map›Paper›PMID 32498676›Full record

ArticleBMC public health2020

Bringing new tools, a regional focus, resource-sensitivity, local engagement and necessary discipline to mental health policy and planning.

Jo-An Atkinson, Adam Skinner, Kenny Lawson, Sebastian Rosenberg, Ian B Hickie

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Fit for Purpose-Re-Designing Australia's Mental Health Information System.International journal of environmental research and public health · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Article
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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

5 authors.

Jo-An AtkinsonBrain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. Jo-An.Atkinson@sydney.edu.au.ORCID http://orcid.org/0000-0002-2380-1092
Adam SkinnerBrain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Kenny LawsonTranslational Health Research Institute, Western Sydney University, Penrith, Australia.
Sebastian RosenbergBrain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Ian B HickieBrain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile reducing the burden of mental and substance use disorders is a global challenge, it is played out locally. Mental disorders have early ages of onset, syndromal complexity and high individual variability in course and response to treatment. As most locally-delivered health systems do not account for this complexity in their design, implementation, scale or evaluation they often result in disappointing impacts. DISCUSSION: In this viewpoint, we contend that the absence of an appropriate predictive planning framework is one critical reason that countries fail to make substantial progress in mental health outcomes. Addressing this missing infrastructure is vital to guide and coordinate national and regional (local) investments, to ensure limited mental health resources are put to best use, and to strengthen health systems to achieve the mental health targets of the 2015 Sustainable Development Goals. Most broad national policies over-emphasize provision of single elements of care (e.g. medicines, individual psychological therapies) and assess their population-level impact through static, linear and program logic-based evaluation. More sophisticated decision analytic approaches that can account for complexity have long been successfully used in non-health sectors and are now emerging in mental health research and practice. We argue that utilization of advanced decision support tools such as systems modelling and simulation, is now required to bring a necessary discipline to new national and local investments in transforming mental health systems.

conclusionSystems modelling and simulation delivers an interactive decision analytic tool to test mental health reform and service planning scenarios in a safe environment before implementing them in the real world. The approach drives better decision-making and can inform the scale up of effective and contextually relevant strategies to reduce the burden of mental disorder and enhance the mental wealth of nations.

Indexed as

Decision Support TechniquesPolicy MakingRegional Health PlanningDecision MakingHealth Care ReformHealth PolicyHealth ResourcesHumansMental HealthMental Health ServicesSystems AnalysisMental health services planningSuicide preventionSystem reform

Identifiers

PMID32498676
PMCPMC7273655

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.