Evidence map›Paper›PMID 40860560›Full record

ArticleFrontiers in public health2025

Economic evaluation of evidence-based strategies to reduce unhealthy alcohol use: a resource allocation guide.

Delia Hendrie, Ted R Miller

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Delia Hendrie *School of Population Health, Curtin University, Perth, WA, Australia.
Ted R Miller *School of Population Health, Curtin University, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the context of limited budgets to implement public health measures, cost-effectiveness is an important factor for policy makers to consider. Evidence from high-income countries on the outcomes and costs of interventions demonstrating success in reducing alcohol-related harm offers valuable guidance for resource allocation decisions in low- and middle-income settings. Methods: Published reviews of interventions shown or likely to reduce alcohol-attributable harm were identified. Data on outcomes was extracted and standardized to allow consistent reporting of return on investment. Intervention costs were calculated using a 'bottom-up' approach based on quantity of resources and unit price. Benefit-cost ratios and incremental cost-effectiveness ratios were calculated for each intervention. Results: Across the various categories of alcohol harm reduction programs, interventions demonstrating good value for money were identified. These categories were availability of alcohol; marketing of alcoholic beverages; pricing policies; drink driving policies; workplace interventions; health sector programs; youth development programs; and school-based substance abuse prevention. Conclusion: Consistent estimates of return on investment of alcohol harm reduction interventions provide an effective mechanism to filter out interventions of questionable value. Policymakers should also consider factors such as political feasibility, local priorities, cultural appropriateness, affordability, and the immediacy of impact when selecting a comprehensive package of strategies.

Indexed as

Alcohol DrinkingEvidence-Based PracticeHarm ReductionResource AllocationCost-Benefit AnalysisHumansalcohol harmalcohol policyeconomic evaluationpreventionresource allocation

Identifiers

PMID40860560
PMCPMC12376196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.