Cited by 63Opioid Use Disorder TreatmentPain Management and Opioid UseSubstance Abuse Treatment and Outcomes

Use of a prescription opioid registry to examine opioid misuse and overdose in an integrated health system

Open access
Campbell, Cynthia I., Bahorik, Amber L., VanVeldhuisen, Paul, Weisner, Constance, Rubinstein, Andrea L., Ray, G. Thomas·2018·Preventive Medicine

Abstract

Strategies are needed to identify at-risk patients for adverse events associated with prescription opioids. This study identified prescription opioid misuse in an integrated health system using electronic health record (EHR) data, and examined predictors of misuse and overdose. The sample included patients from an EHR-based registry of adults who used prescription opioids in 2011 in Kaiser Permanente Northern California, a large integrated health care system. We characterized time-at-risk for opioid misuse and overdose, and used Cox proportional hazard models to model predictors of these events from 2011 to 2014. Among 396,452 patients, 2.7% were identified with opioid misuse and 1044 had an overdose event. Older patients were less likely to meet misuse criteria or have an overdose. Whites were more likely to be identified with misuse, but not to have an overdose. Alcohol and drug disorders were related to higher risk of misuse and overdose, with the exception that marijuana disorder was not related to opioid misuse. Higher daily opioid dosages and benzodiazepine use increased the risk of both opioid misuse and overdose. We characterized several risk factors associated with misuse and overdose using EHR-based data, which can be leveraged relatively quickly to inform preventive strategies to address the opioid crisis.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ypmed.2018.01.019

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Higher opioid use is associated with annual household income below $20,000 in pregnant women in the US.

    “Other research on pregnant women in the US have shown similar education gradients and higher opioid use below $20,000 annual household income (55) which is consistent with national data linking lower levels of income to opioid misuse (56).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [4]Substance Abuse and Mental Health Services Administration NSDUH Data review: Prescription Drug Use and Misuse in the United States: Results from the 2015 National Survey on Drug Use and Health Rockville, MD Substance Abuse and Mental Health Services Administration 9 2016

Cited by

Sorted by citations

Authors
Campbell, C. I., Bahorik, A. L., VanVeldhuisen, P., Weisner, C., Rubinstein, A. L., & Ray, G. T.
Affiliations
  • Kaiser Permanente (US)
  • University of California, San Francisco (US)
  • Emmes (United States) (US)
  • Kaiser Permanente Santa Rosa Medical Center (US)
Corresponding author
Campbell, Cynthia I.
Venue
Preventive Medicine
Publisher
Elsevier BV
Published
2018-05
Volume
110
Pages
31-37
ISSN
0091-7435 (ISSN-L)
OpenAlex
W2794369775
Cited by
63
References
37
Citations by year
2026: 5 · 2025: 7 · 2024: 5 · 2023: 5 · 2022: 4 · 2021: 11 · 2020: 12 · 2019: 11 · 2018: 2
FWCI
8.58
Type
journal article
Language
en
Open access
Locations
  • Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Centers for Disease Control and Prevention
  • National Institute on Drug Abuse (UG1DA040314)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
prescription opioid misuse, opioid overdose, electronic health records, risk factors, integrated health system, benzodiazepine use, opioid dosage, alcoholism, drug use disorders, opioid epidemic, Kaiser Permanente
MeSH terms
Adult, Aged, Aged, 80 and over, Analgesics, Opioid, California, Female, Humans, Male, Middle Aged, Opioid-Related Disorders, Registries, Risk Factors, Electronic Health Records, Drug Overdose, Prescription Drug Misuse

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review