A comparative analysis of methodological practices used in capture-recapture population size estimation: Opioid use disorder prevalence in New York State, 2020.

Authors

Heather Bradley, Trang M Nguyen, Lanxin Li, Ruth King, Vivian Kamanu, Serveh Sharifi Far, Stephanie Mack, Nicole Luisi, Yunshu Li, Yali Meng, Gang Liu, Jiaji Zhang, Ashly E Jordan, Linh Le, Peter L Brodie, Svetlana Jensen, Allan Clear, Tomoko Udo, Vanda Inacio, Eli S Rosenberg

Published in

American journal of epidemiology. Jul 10, 2026. Epub Jul 10, 2026.

Abstract

Prevalence estimates for opioid use disorder (OUD) are essential for guiding investments in prevention and treatment. Previous estimates have been produced using modeling approaches including capture-recapture (CRC). Empirical evaluations of CRC are needed to assess population size impacts of methodological practices utilized. We linked administrative data sources including New York State (NYS) adults with OUD by indication between January 1-December 31, 2020 and applied Bayesian CRC methods to evaluate how methodological practices impact OUD prevalence: (1) using sensitive versus specific case definition characteristics to identify OUD, (2) including versus excluding inferred referrals from emergency medical services to healthcare settings, and (3) including versus excluding overdose mortality as a source list. We estimated OUD prevalence overall and by demographic characteristics and treatment coverage with medications for OUD (MOUD). Across methodological scenarios, OUD prevalence estimates ranged from 4.6%-9.9%. The largest estimate resulted from a model in which the more sensitive OUD case definition was applied, while the smallest resulted from a model using the more specific case definition. An estimated 4.2% of NYS adults had OUD in 2020, with 20% receiving MOUD. Findings demonstrate that CRC methodological decisions can meaningfully influence OUD prevalence estimates, with recommended methodological practices provided.

PMID:
42429670
Bibliographic data and abstract were imported from PubMed on 10 Jul 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.