Evidence map›Paper›PMID 34352005›Full record

ArticlePloS one2021

Can alcohol consumption in Germany be reduced by alcohol screening, brief intervention and referral to treatment in primary health care? Results of a simulation study.

Jakob Manthey, Adriana Solovei, Peter Anderson, Sinclair Carr, Jürgen Rehm

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

5 authors at 3 institutions in 5 countries.

Jakob MantheyInstitute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0003-1231-3760
Adriana SoloveiDepartment of Health Promotion, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Peter AndersonPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Sinclair CarrDepartment of Psychiatry and Psychotherapy, Center for Interdisciplinary Addiction Research (ZIS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Jürgen RehmDepartment of Psychiatry and Psychotherapy, Center for Interdisciplinary Addiction Research (ZIS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Maastricht University · NLUniversität Hamburg · DECentre for Addiction and Mental Health · CA

Funding

Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies (CASCADE)R01AA024443 · NIAAA · UNIVERSITY OF SHEFFIELD · PI PURSHOUSE, ROBIN · 2016 to 2020
$2.3M
Evaluation of the impact of alcohol control policies on morbidity and mortality in Lithuania and other Baltic statesR01AA028224 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI REHM, JUERGEN T, ŠTELEMĖKAS, MINDAUGAS · 2020 to 2024
$2.2M
NIAAA NIH HHS R01 AA024443NIAAA NIH HHS R01 AA028224
6 · The paper itself

Abstract

backgroundScreening, brief intervention and referral to treatment (SBIRT) is a programme to reduce alcohol consumption for drinkers with high alcohol consumption levels. Only 2.9% of patients in primary health care (PHC) are screened for their alcohol use in Germany, despite high levels of alcohol consumption and attributable harm. We developed an open-access simulation model to estimate the impact of higher SBIRT delivery rates in German PHC settings on population-level alcohol consumption. METHODS AND

findingsA hypothetical population of drinkers and non-drinkers was simulated by sex, age, and educational status for the year 2009 based on survey and sales data. Risky drinking persons receiving BI or RT were sampled from this population based on screening coverage and other parameters. Running the simulation model for a ten-year period, drinking levels and heavy episodic drinking (HED) status were changed based on effect sizes from meta-analyses. In the baseline scenario of 2.9% screening coverage, 2.4% of the adult German population received a subsequent intervention between 2009 and 2018. If every second PHC patient would have been screened for alcohol use, 21% of adult residents in Germany would have received BI or RT by the end of the ten-year simulation period. In this scenario, population-level alcohol consumption would be 11% lower than it was in 2018, without any impact on HED prevalence. Screening coverage rates below 10% were not found to have a measurable effect on drinking levels.

conclusionsLarge-scale implementation of SBIRT in PHC settings can yield substantial reductions of alcohol consumption in Germany. As high screening coverage rates may only be achievable in the long run, other effective alcohol policies are required to achieve short-term reduction of alcohol use and attributable harm in Germany. There is large potential to apply this open-access simulation model to other settings and for other alcohol interventions.

Indexed as

Alcohol DrinkingMass ScreeningPrimary Health CareReferral and ConsultationAdolescentAdultAgedAlcoholismComputer SimulationFemaleGermanyHumansMaleMiddle AgedYoung Adult

Identifiers

PMID34352005
PMCPMC8341530
OpenAlexW3191734499

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.