Evidence map›Paper›PMID 37650838›Full record

ArticleJournal of studies on alcohol and drugs2023

The Impact of the Good Behavior Game on Risk for Drug Use Disorder in an Agent-Based Model of Southern Sweden.

Sara L Lönn, Mary G Krauland, Abigail A Fagan, Kristina Sundquist, Mark S Roberts, Kenneth S Kendler

Open access · greenAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Trial
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

6 authors at 4 institutions in 2 countries.

Sara L LönnCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Mary G KraulandDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Abigail A FaganDepartment of Sociology and Criminology & Law, University of Florida, Gainesville, Florida.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Mark S RobertsDepartment of Health Policy and Management, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia.
Lund University · SEUniversity of Pittsburgh · USUniversity of Florida · USVirginia Commonwealth University · US

Funding

Genetic, Social, and Developmental Epidemiology of Drug Use DisordersR01DA030005 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, JAN O SUNDQUIST · 2010 to 2026
$7.6M
NIDA NIH HHS R01 DA030005
6 · The paper itself

Abstract

objectiveDrug use disorder (DUD) is a worldwide problem, and strategies to reduce its incidence are central to decreasing its burden. This investigation seeks to provide a proof of concept for the ability of agent-based modeling to predict the impact of the introduction of an effective school-based intervention, the Good Behavior Game (GBG), on reducing DUD in Scania, Sweden, primarily through increasing school achievement.

methodWe modified an existing agent-based simulation model of opioid use disorder to represent DUD in Scania County, southern Sweden. The model represents every individual in the population and is calibrated with the linked individual data from multiple sources including demographics, education, medical care, and criminal history. Risks for developing DUD were estimated from the population in Scania. Scenarios estimated the impact of introducing the GBG in schools located in disadvantaged areas.

resultsThe model accurately reflected the growth of DUD in Scania over a multiyear period and reproduced the levels of affected individuals in various socioeconomic strata over time. The GBG was estimated to improve school achievement and lower DUD registrations over time in males residing in disadvantaged areas by 10%, reflecting a decrease of 540 cases of DUD. Effects were considerably smaller in females.

conclusionsThis work provides support for the impact of improving school achievement on long-term risks of developing DUD. It also demonstrated the value of using simulation modeling calibrated with data from a real population to estimate the impact of an intervention applied at a population level.

Indexed as

Opioid-Related DisordersSubstance-Related DisordersFemaleHumansMaleSchoolsSweden

Identifiers

PMID37650838
PMCPMC10765974
OpenAlexW4386282918

What Socratic 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 Socratic graph.