Evidence map›Paper›PMID 37455008›Full record

ArticleJournal of biomedical informatics2023

A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information - A merging of two administrative data sources.

Chi-Hua Lu, Gail Jette, Zackary Falls, David M Jacobs, Walter Gibson, Edward M Bednarczyk, Tzu-Yin Kuo, Brynn Lape-Newman, Kenneth E Leonard, Peter L Elkin

Abstract read
In one paragraph

Article in Journal of biomedical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Chi-Hua LuDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA. Electronic address: chihualu@buffalo.edu.
Gail JetteDivision of Outcomes, Management, and Systems Information, Office of Addiction Services and Supports, Albany, NY, USA.
Zackary FallsDepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
David M JacobsDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA.
Walter GibsonDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA.
Edward M BednarczykDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA.
Tzu-Yin KuoDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA.
Brynn Lape-NewmanRhode Island Department of Health, Providence, RI, USA.
Kenneth E LeonardClinical and Research Institute on Addictions, University at Buffalo, Buffalo, NY, USA.
Peter L ElkinDepartment of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA; Faculty of Engineering, University of Southern Denmark, Denmark; U.S. Department of Veterans Affairs, WNY VA, Buffalo, NY, USA.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
A translational bioinformatics approach to elucidate and mitigate polypharmacy induced adverse drug reactionsK01DA056690 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Zackary Michael Falls · 2022 to 2026
$1.0M
Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use DisordersR33AA026954 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ELKIN, PETER L., LEONARD, KENNETH E · 2020 to 2022
$1.0M
Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use DisordersR21AA026954 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ELKIN, PETER L., LEONARD, KENNETH E · 2018 to 2019
$386k
NCATS NIH HHS UL1 TR001412NIAAA NIH HHS R21 AA026954NIAAA NIH HHS R33 AA026954NIDA NIH HHS K01 DA056690NLM NIH HHS T15 LM012495
6 · The paper itself

Abstract

objectiveDespite the high prevalence of alcohol use disorder (AUD) in the United States, limited research is focused on the associations among AUD, pain, and opioids/benzodiazepine use. In addition, little is known regarding individuals with a history of AUD and their potential risk for pain diagnoses, pain prescriptions, and subsequent misuse. Moreover, the potential risk of pain diagnoses, prescriptions, and subsequent misuse among individuals with a history of AUD is not well known. The objective was to develop a tailored dataset by linking data from 2 New York State (NYS) administrative databases to investigate a series of hypotheses related to AUD and painful medical disorders.

methodsData from the NYS Office of Addiction Services and Supports (OASAS) Client Data System (CDS) and Medicaid claims data from the NYS Department of Health Medicaid Data Warehouse (MDW) were merged using a stepwise deterministic method. Multiple patient-level identifier combinations were applied to create linkage rules. We included patients aged 18 and older from the OASAS CDS who initially entered treatment with a primary substance use of alcohol and no use of opioids between January 1, 2003, and September 23, 2019. This cohort was then linked to corresponding Medicaid claims.

resultsA total of 177,685 individuals with a primary AUD problem and no opioid use history were included in the dataset. Of these, 37,346 (21.0%) patients had an OUD diagnosis, and 3,365 (1.9%) patients experienced an opioid overdose. There were 121,865 (68.6%) patients found to have a pain condition.

conclusionThe integrated database allows researchers to examine the associations among AUD, pain, and opioids/benzodiazepine use, and propose hypotheses to improve outcomes for at-risk patients. The findings of this study can contribute to the development of a prognostic prediction model and the analysis of longitudinal outcomes to improve the care of patients with AUD.

Indexed as

AlcoholismOpioid-Related DisordersAnalgesics, OpioidBenzodiazepinesHumansInformation SourcesNew YorkPainUnited StatesAnalgesics, OpioidBenzodiazepinesAlcohol use disorderData linkageMedicaidOASASOpioidsPain

Identifiers

PMID37455008
PMCPMC11178131

What OpenQuestion holds

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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.