Evidence map›Paper›PMID 42612330›Full record

ArticleDrug and alcohol dependence2026

Comparison of statewide substance use disorder prevalence estimates from survey data vs electronic health record data.

Kriya S Patel, Benjamin Bovell-Ammon, Renee Van Siclen, Wendy Miller, Lucas Zellmer, Steven S Fu, Alanna M Chamberlain, Paul E Drawz, Rebecca Rossom, April Wilhelm and 1 more

Abstract readComparative Study
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

11 authors.

Kriya S PatelSection of General Internal Medicine, University of Chicago Pritzker School of Medicine, Chicago, IL, United States. Electronic address: kriya.patel@uchicagomedicine.org.
Benjamin Bovell-AmmonUniversity of Massachusetts Chan Medical School-Baystate and Baystate Medical Center, Boston, MA, United States.
Renee Van SiclenHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, United States.
Wendy MillerDivision of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, United States.
Lucas ZellmerHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, United States.
Steven S FuCenter for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, United States.
Alanna M ChamberlainDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States.
Paul E DrawzDivision of Nephrology and Hypertension, University of Minnesota Medical School, Minneapolis, MN, United States.
Rebecca RossomHealthPartners Research Institute, Bloomington, MN, United States.
April WilhelmDepartment of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, MN, United States.
Tyler N A WinkelmanHealth, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute, Minneapolis, MN, United States; Division of General Internal Medicine, Department of Medicine, Hennepin Healthcare, Minneapolis, MN, United States.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
Addressing parental tobacco use in Somali immigrant families: Adapting an evidence-based intervention in pediatric primary careK23DA062012 · NIDA · UNIVERSITY OF MINNESOTA · PI April Katherine Wilhelm · 2025 to 2026
$404k
NCATS NIH HHS UM1 TR004405NIDA NIH HHS K23 DA062012
6 · The paper itself

Abstract

backgroundPrevalence estimates for substance use disorders (SUD) in the United States are primarily based on the National Survey on Drug Use and Health (NSDUH) which often lags, making real-time interventions difficult. Electronic health record (EHR)-derived estimates can provide near real-time estimates. We aimed to compare EHR-based state-level estimates with those derived from the NSDUH survey.

methods2023 EHR SUD prevalence data from the Minnesota Electronic Health Record Consortium (MNEHRC), a network of health systems across Minnesota, were compared to 2023 NSDUH prevalence data for Minnesota.

resultsMNEHRC estimated alcohol use disorder (AUD) prevalence to be 3.80% while NSDUH reported 11.40%. MNEHRC prevalence for opioid use disorder (OUD) was 1.30% while NSDUH reported it as 1.76%. NSDUH reported a prevalence of 1.56% for cocaine use and 0.85% for methamphetamine use, while MNEHRC data found a prevalence of cocaine use of 0.32% and psychostimulant use of 0.83%. Age trends varied among the two methods. NSDUH estimated the highest substance use prevalence in the 18-25 age group with a decline in the > 26 group while MNEHRC showed an increasing prevalence with age for all substances.

conclusionEstimates of OUD and methamphetamine use prevalence were similar across the two approaches, whereas those for AUD and cocaine use differed. These findings suggest that EHR data may capture some substance use conditions accurately enough to proxy population level prevalence.

Indexed as

Electronic Health RecordsHealth SurveysSubstance-Related DisordersAdolescentAdultFemaleHumansMaleMiddle AgedMinnesotaOpioid-Related DisordersPrevalenceYoung AdultAlcohol use disorderOpioid use disorderPrevalence estimates

Identifiers

PMID42612330
PMCPMC13628184

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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.