Evidence map›Paper›PMID 27509769›Full record

ArticleEpidemiology and psychiatric sciences2017

The population cost-effectiveness of delivering universal and indicated school-based interventions to prevent the onset of major depression among youth in Australia.

Y Y Lee, J J Barendregt, E A Stockings, A J Ferrari, H A Whiteford, G A Patton, C Mihalopoulos

Open access · greenAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 8 pooled it
11.5field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 8 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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  5. Digital interventions in mental health: evidence syntheses and economic modelling.Health technology assessment (Winchester, England) · 2022
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  18. The impact of universal mental health screening on stigma in primary schools.Child and adolescent psychiatry and mental health · 2025
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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

7 authors at 4 institutions in 2 countries.

Y Y LeeSchool of Public Health, The University of Queensland,Herston,Queensland,Australia.ORCID 0000-0003-2359-6823
J J BarendregtSchool of Public Health, The University of Queensland,Herston,Queensland,Australia.
E A StockingsNational Drug and Alcohol Research Centre (NDARC), University of New South Wales,Randwick,New South Wales,Australia.ORCID 0000-0001-5349-951X
A J FerrariSchool of Public Health, The University of Queensland,Herston,Queensland,Australia.
H A WhitefordSchool of Public Health, The University of Queensland,Herston,Queensland,Australia.
G A PattonCentre for Adolescent Health, Murdoch Children's Research Institute (MCRI), Royal Children's Hospital,Parkville,Victoria,Australia.
C MihalopoulosDeakin Health Economics, Population Health Strategic Research Centre, Deakin University,Burwood,Victoria,Australia.
Queensland Health · AUDeakin University · AURoyal Children's Hospital · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSchool-based psychological interventions encompass: universal interventions targeting youth in the general population; and indicated interventions targeting youth with subthreshold depression. This study aimed to: (1) examine the population cost-effectiveness of delivering universal and indicated prevention interventions to youth in the population aged 11-17 years via primary and secondary schools in Australia; and (2) compare the comparative cost-effectiveness of delivering these interventions using face-to-face and internet-based delivery mechanisms.

methodsWe reviewed literature on the prevention of depression to identify all interventions targeting youth that would be suitable for implementation in Australia and had evidence of efficacy to support analysis. From this, we found evidence of effectiveness for the following intervention types: universal prevention involving group-based psychological interventions delivered to all participating school students; and indicated prevention involving group-based psychological interventions delivered to students with subthreshold depression. We constructed a Markov model to assess the cost-effectiveness of delivering universal and indicated interventions in the population relative to a 'no intervention' comparator over a 10-year time horizon. A disease model was used to simulate epidemiological transitions between three health states (i.e., healthy, diseased and dead). Intervention effect sizes were based on meta-analyses of randomised control trial data identified in the aforementioned review; while health benefits were measured as Disability-adjusted Life Years (DALYs) averted attributable to reductions in depression incidence. Net costs of delivering interventions were calculated using relevant Australian data. Uncertainty and sensitivity analyses were conducted to test model assumptions. Incremental cost-effectiveness ratios (ICERs) were measured in 2013 Australian dollars per DALY averted; with costs and benefits discounted at 3%.

resultsUniversal and indicated psychological interventions delivered through face-to-face modalities had ICERs below a threshold of $50 000 per DALY averted. That is, $7350 per DALY averted (95% uncertainty interval (UI): dominates - 23 070) for universal prevention, and $19 550 per DALY averted (95% UI: 3081-56 713) for indicated prevention. Baseline ICERs were generally robust to changes in model assumptions. We conducted a sensitivity analysis which found that internet-delivered prevention interventions were highly cost-effective when assuming intervention effect sizes of 100 and 50% relative to effect sizes observed for face-to-face delivered interventions. These results should, however, be interpreted with caution due to the paucity of data.

conclusionsSchool-based psychological interventions appear to be cost-effective. However, realising efficiency gains in the population is ultimately dependent on ensuring successful system-level implementation.

Indexed as

Cost-Benefit AnalysisAdolescentAustraliaChildDepressionFemaleHumansMajor Depressive DisorderOutcome Assessment, Health CarePrimary PreventionAdolescentchildcost-effectiveness analysisdepressive disordereconomic evaluationmajor depressionprimary prevention

Identifiers

PMID27509769
PMCPMC6998892
OpenAlexW2516395724

What OpenQuestion holds

Textmetadata
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.