Evidence map›Paper›PMID 33094313›Full record

ArticlePain medicine (Malden, Mass.)2020

Prescription and Prescriber Specialty Characteristics of Initial Opioid Prescriptions Associated with Chronic Use.

Scott G Weiner, Shih-Chuan Chou, Cindy Y Chang, Chad Garner, Sanae El Ibrahimi, Sara Hallvik, Michelle Hendricks, Olesya Baker

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.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Predicting the Physician's Specialty Using a Medical Prescription Database.Computational and mathematical methods in medicine · 2022
    Article
  9. 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

8 authors.

Scott G WeinerDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Shih-Chuan ChouDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Cindy Y ChangDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Chad GarnerState of Ohio Board of Pharmacy, Columbus, Ohio.
Sanae El IbrahimiComagine Health, Portland, Oregon.
Sara HallvikComagine Health, Portland, Oregon.
Michelle HendricksComagine Health, Portland, Oregon.
Olesya BakerCenter for Clinical Investigation, Brigham 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

objectiveThis study evaluated the characteristics of opioid prescriptions, including prescriber specialty, given to opioid-naïve patients and their association with chronic use.

designCross-sectional analysis of the Ohio prescription drug monitoring program from January 2010 to November 2017.

settingOhio, USA. SUBJECTS: Patients who had no opioid prescriptions from 2010 to 2012 and a first-time prescription from January 2013 to November 2016.

methodsChronic use was defined as at least six opioid prescriptions in one year and either one or more years between the first and last prescription or an average of ≤30 days not covered by an opioid during that year.

resultsA total of 4,252,809 opioid-naïve patients received their first opioid prescription between 2013 and 2016; 364,947 (8.6%) met the definition for chronic use. Those who developed chronic use were older (51.7 vs 45.6 years) and more likely to be female (53.6% vs 52.8%), and their first prescription had higher pill quantities (44.9 vs 30.2), higher morphine milligram equivalents (MME; 355.3 vs 200.0), and was more likely to be an extended-release formulation (2.9% vs 0.7%, all P < 0.001). When compared with internal medicine, the adjusted odds of chronic use were highest with anesthesiology (odds ratio [OR] = 1.46) and neurology (OR = 1.43) and lowest with ophthalmology (OR = 0.33) and gynecology (OR = 0.37).

conclusionsEight point six percent of opioid-naïve individuals who received an opioid prescription developed chronic use. This rate varied depending on the specialty of the provider who wrote the prescription. The risk of chronic use increased with higher MME content of the initial prescription and use of extended-release opioids.

Indexed as

Analgesics, OpioidPractice Patterns, Physicians'Cross-Sectional StudiesDrug PrescriptionsFemaleHumansMaleOhioPrescriptionsAnalgesics, OpioidAmerican Board of Medical SpecialtiesChronic PainOpioids

Identifiers

PMID33094313
PMCPMC7770231

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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.