Evidence map›Paper›PMID 31502638›Full record

ArticlePain medicine (Malden, Mass.)2020

Effects of Rescheduling Hydrocodone on Opioid Prescribing in Ohio.

Yingna Liu, Olesya Baker, Jeremiah D Schuur, Scott G Weiner

Abstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prescribing Naloxone to High-Risk Patients in the Emergency Department: Is it Enough?Joint Commission journal on quality and patient safety · 2021
    Article
  8. Article
  9. Commercial and public payer opioid analgesic prescribing policies: a case study.Substance abuse treatment, prevention, and policy · 2021
    Article
  10. 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

4 authors.

Yingna LiuDuke University School of Medicine, Durham, North Carolina, USA.
Olesya BakerBrigham and Women's Hospital, Boston, Massachusetts, USA.
Jeremiah D SchuurWarren Alpert School of Medicine at Brown University, Providence, Rhode Island, USA.
Scott G WeinerBrigham and Women's Hospital, Boston, Massachusetts, USA.

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
NIDA NIH HHS R01 DA044167
6 · The paper itself

Abstract

backgroundWe quantified opioid prescribing after the 2014 rescheduling of hydrocodone from schedule III to II in the United States using a state-wide prescription database and studied trends three years before and after the policy change, focusing on certain specialties.

methodsWe used Ohio's state prescription drug monitoring program database, which includes all filled schedule II and III prescriptions regardless of payer or pharmacy, to conduct an interrupted time series analysis of the nine most prescribed opioids: hydrocodone, oxycodone, tramadol, codeine, and others. We analyzed hydrocodone prescribing trends for the physician specialties of internal medicine, anesthesiology, and emergency medicine. We evaluated trends 37 months before and after the rescheduling change.

resultsRescheduling was associated with a hydrocodone level change of -26,358 (95% confidence interval [CI] = -36,700 to -16,016) prescriptions (-5.8%) and an additional decrease in prescriptions of -1,568 (95% CI = -2,296 to -839) per month (-0.8%). Codeine prescribing temporarily increased, at a level change of 6,304 (95% CI = 3,003 to 9,606) prescriptions (18.5%), indicating a substitution effect. Hydrocodone prescriptions by specialty were associated with a level change of -805 (95% CI = -1,280 to -330) prescriptions (-8.5%) for anesthesiologists and a level change of -14,619 (95% CI = -23,710 to -5,528) prescriptions (-10.2%) for internists. There was no effect on prescriptions by emergency physicians.

conclusionsThe 2014 federal rescheduling of hydrocodone was associated with declines in hydrocodone prescriptions in Ohio beyond what had already been occurring, and hydrocodone may have been briefly substituted with codeine. These results indicate that rescheduling did have a lasting effect but affected prescribing specialties variably.

Indexed as

Analgesics, OpioidHydrocodoneDrug PrescriptionsHumansOhioPractice Patterns, Physicians'United StatesAnalgesics, OpioidHydrocodoneHydrocodoneOhioOpioidOpioid PrescriptionPrescribingRescheduling

Identifiers

PMID31502638
PMCPMC7553017

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.