Evidence map›Paper›PMID 37551098›Full record

ReviewBJPsych open2023

A systematic review of economic evaluations for opioid misuse, cannabis and illicit drug use prevention.

Jan Faller, Long Khanh-Dao Le, Mary Lou Chatterton, Joahna Kevin Perez, Oxana Chiotelis, Huong Ngoc Quynh Tran, Marufa Sultana, Natasha Hall, Yong Yi Lee, Cath Chapman and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

15 authors.

Jan FallerMonash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Australia.ORCID https://orcid.org/0000-0001-7645-2079
Long Khanh-Dao LeMonash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Australia.ORCID https://orcid.org/0000-0002-9442-6824
Mary Lou ChattertonMonash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Australia.
Joahna Kevin PerezMonash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Australia.
Oxana ChiotelisDeakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Australia.
Huong Ngoc Quynh TranDeakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Australia.
Marufa SultanaDeakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Australia.
Natasha HallDeakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Australia.
Yong Yi LeeMonash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Australia; School of Public Health, The University of Queensland, Australia; and Policy and Epidemiology Group, Queensland Centre for Mental Health Research, Wacol, Queensland, Australia.
Cath ChapmanThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia.
Nicola NewtonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia.
Tim SladeThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia.
Matt SunderlandThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia.
Maree TeessonThe Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Australia.
Cathrine MihalopoulosMonash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Australia; and Deakin Health Economics, Institute for Health Transformation, School of Health and Social Development, Deakin University, Australia.

Funding

National Health and Medical Research Council APP1134909
6 · The paper itself

Abstract

backgroundSubstance use disorders negatively affect global disease burden. Effective preventive interventions are available, but whether they provide value for money is unclear.

aimsThis review looks at the cost-effectiveness evidence of preventive interventions for cannabis use, opioid misuse and illicit drug use.

methodLiterature search was undertaken in Medline, CINAHL, PsycINFO, EconLit through EBSCOhost and EMBASE, up to May 2021. Grey literature search was conducted as supplement. Studies included were full economic evaluations or return-on-investment (ROI) analyses for preventing opioid misuse, cannabis and illicit drug use. English-language restriction was used. Outcomes extracted were incremental cost-effectiveness ratios (ICER) or ROI ratios, with costs presented in 2019 United States dollars. Quality was assessed with the Drummond checklist.

resultsEleven full economic evaluation studies were identified from 5674 citations, with all studies conducted in high-income countries. Most aimed to prevent opioid misuse (

conclusionsThere are limited economic evaluations of preventive interventions for opioid misuse, cannabis and illicit drug use. Family-based intervention (ParentCorps), school-based interventions (Social and Emotional Training and Project ALERT) and a doctor's programme to assess patient risk of misusing narcotics ('the Network System to Prevent Doctor-Shopping for Narcotics') show promising cost-effectiveness and warrant consideration.

Indexed as

cannabiseconomic evaluationIllicit drug useopioidprevention

Identifiers

PMID37551098
PMCPMC10594094

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.