Evidence map›Paper›PMID 36004683›Full record

ArticleAmerican journal of epidemiology2022

Opioid Use Disorder Among Ohio's Medicaid Population: Prevalence Estimates From 19 Counties Using a Multiplier Method.

Nathan J Doogan, Aimee Mack, Jianing Wang, Dushka Crane, Rebecca Jackson, Mary Applegate, Jennifer Villani, Redonna Chandler, Joshua A Barocas

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in American journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Productivity Losses From Substance Use Disorder in the U.S. in 2023.American journal of preventive medicine · 2026
    Article
  4. Emergency Department-Based Medication for Opioid Use Disorder: A 5-Year Experience.Journal of the American College of Emergency Physicians open · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Nathan J Doogan
Aimee Mack
Jianing Wang
Dushka Crane
Rebecca Jackson
Mary Applegate
Jennifer Villani
Redonna Chandler
Joshua A Barocas

Funding

MassHEAL - Reducing overdose deaths by 40% (2019-2023)UM1DA049412 · NIDA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2019 to 2023
$82.9M
Kentucky CAN HEAL (Communities and Networks Helping End Addiction Long-term)UM1DA049406 · NIDA · UNIVERSITY OF KENTUCKY · PI WALSH, SHARON L. · 2019 to 2022
$81.7M
CHASE: An Innovative County-Level Public Health Response to the Opioid Epidemic in New York StateUM1DA049415 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI EL-BASSEL, NABILA, GILBERT, LOUISA · 2019 to 2023
$77.3M
Optimizing HEALing in Ohio Communities (OHiO)-Health Equity SupplementUM1DA049417 · NIDA · OHIO STATE UNIVERSITY · PI FREISTHLER, BRIDGET J, WINHUSEN, T JOHN · 2019 to 2023
$66.3M
HEALing Communities Study Health Equity ResearchUM1DA049394 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI GLASGOW, LASHAWN, KNOTT, CHARLES · 2019 to 2023
$40.6M
Development of a novel community-based high-performance surveillance network for drug useDP2DA051864 · NIDA · UNIVERSITY OF COLORADO DENVER · PI BAROCAS, JOSHUA ADAM · 2020 to 2020
$2.3M
Strategies to reduce serious bacterial infections and overdose among people who inject drugsK01DA051684 · NIDA · UNIVERSITY OF COLORADO DENVER · PI BAROCAS, JOSHUA ADAM · 2020 to 2024
$809k
NIDA NIH HHS DP2 DA051864NIDA NIH HHS K01 DA051684NIDA NIH HHS UM1 DA049394NIDA NIH HHS UM1 DA049406NIDA NIH HHS UM1 DA049412NIDA NIH HHS UM1 DA049415NIDA NIH HHS UM1 DA049417
6 · The paper itself

Abstract

The decades-long overdose epidemic in the United States is driven by opioid misuse. Overdoses commonly, although not exclusively, occur in individuals with opioid use disorder (OUD). To allocate adequate resources and develop appropriately scaled public health responses, accurate estimation of the prevalence of OUD is needed. Indirect methods (e.g., a multiplier method) of estimating prevalence of problematic substance-use behavior circumvent some limitations of household surveys and use of administrative data. We used a multiplier method to estimate OUD prevalence among the adult Medicaid population (ages 18-64 years) in 19 Ohio counties that are highly affected by overdose. We used Medicaid claims data and the US National Vital Statistics System overdose death data, which were linked at the person level. A statistical model leveraged opioid-related death rate information from a group with known OUD to estimate prevalence among a group with unknown OUD status given recorded opioid-related deaths in that group. We estimated that 13.6% of the total study population had OUD in 2019. Men (16.7%) had a higher prevalence of OUD than women (11.4%), and persons aged 35-54 had the highest prevalence (16.7%). Our approach to prevalence estimation has important implications for OUD surveillance and treatment in the United States.

Indexed as

Drug OverdoseOpioid-Related DisordersAdultAnalgesics, OpioidFemaleHumansMaleMedicaidOhioPrevalenceUnited StatesAnalgesics, Opioidindirect prevalence estimationopioid use disorderprevalence

Identifiers

PMID36004683
PMCPMC10144717
OpenAlexW4293036403

What OpenQuestion 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 OpenQuestion graph.