Evidence map›Paper›PMID 36469995›Full record

ArticleDrug and alcohol dependence2023

The prevalence of opioid use disorder in Kentucky's counties: A two-year multi-sample capture-recapture analysis.

Katherine Thompson, Joshua A Barocas, Chris Delcher, Jungjun Bae, Lindsey Hammerslag, Jianing Wang, Redonna Chandler, Jennifer Villani, Sharon Walsh, Jeffery Talbert

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 4 institutions in 1 country.

Katherine ThompsonDr. Bing Zhang Department of Statistics, College of Arts and Sciences, University of Kentucky, Lexington, KY, United States.
Joshua A BarocasSections of General Internal Medicine and Infectious Diseases, University of Colorado School of Medicine, Aurora, CO, United States. Electronic address: Joshua.Barocas@CUAnschutz.edu.
Chris DelcherInstitute for Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Kentucky, Lexington, KY, United States; Department of Pharmacy Practice & Science, College of Pharmacy, University of Kentucky, Lexington, KY, United States.
Jungjun BaeInstitute for Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Kentucky, Lexington, KY, United States; Department of Pharmacy Practice & Science, College of Pharmacy, University of Kentucky, Lexington, KY, United States.
Lindsey HammerslagInstitute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States.
Jianing WangBoston University School of Public Health, Boston, MA, United States.
Redonna ChandlerNational Institute on Drug Abuse, Bethesda, MD, United States.
Jennifer VillaniNational Institute on Drug Abuse, Bethesda, MD, United States.
Sharon WalshCenter on Drug and Alcohol Research, College of Medicine, University of Kentucky, Lexington, KY, United States; Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, United States.
Jeffery TalbertInstitute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States; Division of Biomedical Informatics, Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States.
University of Kentucky · USNational Institute on Drug Abuse · USBoston University · USUniversity of Colorado Denver · US

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
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 DA049406NIDA NIH HHS UM1 DA049412
6 · The paper itself

Abstract

backgroundKentucky has one of the highest opioid overdose mortality rates in the United States. Accurate estimates of people with opioid use disorder (OUD) are critical to plan for the scope of interventions required to reduce overdose and opioid misuse. Commonly used household surveys are known to underestimate OUD at the state-level and do not provide county-level estimates.

methodsWe performed a multi-sample capture-recapture analysis to estimate OUD prevalence in Kentucky in 2018 and 2019. We utilized four statewide datasets that were linked at the individual level: 1) Registry of Vital Statistics, 2) Emergency Medical Services (EMS), 3) Kentucky's Prescription Drug Monitoring Program (PDMP), and 4) Kentucky Medicaid. We included persons aged 18-64 years who resided in Kentucky between 2018 and 2019. We identified individuals with administrative data consistent with OUD in each of the datasets, including a fatal opioid-involved overdose (Vital Statistics), EMS runs for suspected opioid overdose, receipt of buprenorphine for OUD treatment (PDMP), or Medicaid claims for OUD. Observed and estimated counts of OUD cases and prevalence of OUD among the adult population in Kentucky.

resultsThe estimated statewide OUD prevalence was 5.5 % and 5.9 % for 2018 and 2019, respectively, ranging from 1.3 % to 17.7 % across Kentucky counties. As expected, counties with the highest OUD rates were Appalachian counties (eastern area) of the state.

conclusionsOur analysis reveals a substantially larger proportion of KY residents have OUD than previously estimated. Our approach offers a model for states needing county-level estimates of OUD.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAdultAnalgesics, OpioidHumansKentuckyPrevalenceUnited StatesAnalgesics, OpioidCapture-recaptureEpidemiologyOpioid use disorder

Identifiers

PMID36469995
PMCPMC9772240
OpenAlexW4309773953

What OpenQuestion holds

Textmetadata
LicenceTDM
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.