Evidence map›Paper›PMID 35622363›Full record

ArticleJAMA network open2022

Estimation of the Prevalence of Delayed Dispensing Among Opioid Prescriptions From US Surgeons and Dentists.

Kao-Ping Chua, Jennifer F Waljee, Michael A Smith, Shreya Bahl, Romesh P Nalliah, Chad M Brummett

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Kao-Ping ChuaDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor.
Jennifer F WaljeeSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor.
Michael A SmithCollege of Pharmacy, University of Michigan, Ann Arbor.
Shreya BahlDepartment of Pediatrics, Susan B. Meister Child Health Evaluation and Research Center, University of Michigan Medical School, Ann Arbor.
Romesh P NalliahUniversity of Michigan School of Dentistry, Ann Arbor.
Chad M BrummettMichigan Opioid Prescribing Engagement Network, University of Michigan Medical School, Ann Arbor.
University of Michigan–Ann Arbor · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
oPIOIDS: Prevention of Iatrogenic Opioid Dependence after SurgeryR01DA042859 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRUMMETT, CHAD M, WALJEE, JENNIFER FILIP · 2017 to 2021
$3.6M
Using Default Opioid Prescription Settings to Limit Excessive Opioid Prescribing to Adolescents and Young AdultsK08DA048110 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING · 2019 to 2023
$983k
NIA NIH HHS P30 AG024824NIDA NIH HHS K08 DA048110NIDA NIH HHS R01 DA042859
6 · The paper itself

Abstract

Importance: Dispensing of opioid prescriptions from dentists and surgeons more than 30 days after writing, or delayed dispensing, could be a potential indicator that opioids were used for reasons or during a time frame other than that intended by the prescriber. The prevalence of delayed dispensing is unknown. Whether laws can prevent delayed dispensing by shortening the maximum period between prescription writing and dispensing is also unknown. Objective: To estimate the prevalence of delayed dispensing among opioid prescriptions from surgeons and dentists, assess the maximum period US states allow between controlled substance prescription writing and dispensing, and evaluate whether laws shortening this period decrease delayed dispensing of opioid prescriptions from surgeons and dentists. Design, Setting, and Participants: In this cross-sectional analysis, data from the IQVIA Formulary Impact Analyzer (representing 63% of US prescriptions) were used to identify opioid prescriptions from surgeons and dentists dispensed from 2014 through 2019. Main Outcomes and Measures: Among opioid prescriptions dispensed in 2019, the proportion with delayed dispensing was calculated. Using legal databases, the maximum state-allowed period between controlled substance prescription writing and dispensing as of December 2019 was examined. Using a difference-in-differences design and 2014 to 2019 data, changes in delayed dispensing prevalence were evaluated among opioid prescriptions from surgeons and dentists after a Minnesota law was enacted in July 2019 precluding opioid prescription dispensing more than 30 days after writing. Control states allowed dispensing beyond this period. Results: In 2019, the database included 20 858 413 opioid prescriptions from surgeons and dentists for 14 789 984 patients; 8 582 029 (58.0%) were female. The mean (SD) patient age was 47.1 (19.3) years. Of prescriptions included, 194 452 (0.9%) had delayed dispensing. As of December 2019, the maximum period between drug writing and dispensing was 180 days in 18 and 43 states for Schedule II and III drugs, respectively. Compared with control states, Minnesota's law decreased delayed dispensing prevalence by 0.22 percentage points (95% CI, -0.32 to -0.13 percentage points). Conclusions and Relevance: In this cross-sectional study, 194 452 opioid prescriptions from surgeons and dentists were dispensed more than 30 days after writing. To mitigate any prescription opioid misuse associated with delayed dispensing, policy makers could shorten the maximum period between writing and dispensing of opioid prescriptions from surgeons and dentists.

Indexed as

Analgesics, OpioidSurgeonsControlled SubstancesCross-Sectional StudiesDentistsFemaleHumansMaleMiddle AgedPrescriptionsPrevalenceAnalgesics, OpioidControlled Substances

Identifiers

PMID35622363
PMCPMC9142869
OpenAlexW4281618776

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.