Evidence map›Paper›PMID 38241057›Full record

ArticleJAMA health forum2024

Opioid Prescribing Patterns After Imposition of Setting-Specific Limits on Prescription Duration.

Lindsay D Allen, Robin A Pollini, Richard Vaglienti, David Powell

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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  7. Reliable variability in subjective responses to parenteral hydromorphone administration: empirical confirmation of an opioid non-responder phenotype.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Lindsay D AllenDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Robin A PolliniDepartment of Epidemiology and Biostatistics, School of Public Health, West Virginia University, Morgantown.
Richard VaglientiCenter for Integrative Pain Management, West Virginia University, Morgantown.
David PowellRAND Corporation, Arlington, Virginia.
West Virginia University · USNorthwestern University · USRAND Corporation · US

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Assessing the Impact of Opioid Prescription Duration LimitsR21DA050047 · NIDA · WEST VIRGINIA UNIVERSITY · PI ALLEN, LINDSAY · 2020 to 2021
$441k
NIDA NIH HHS P50 DA046351NIDA NIH HHS R21 DA050047
6 · The paper itself

Abstract

Importance: Despite their widespread adoption across the US, policies imposing one-size-fits-all limits on the duration of prescriptions for opioids have shown modest and mixed implications for prescribing. Objective: To assess whether a prescription duration limit policy tailored to different clinical settings was associated with shorter opioid prescription lengths. Design, Setting, and Participants: This cross-sectional study examined changes in opioid prescribing patterns for opioid-naive Medicaid enrollees aged 12 to 64 years before and after implementation of a statewide prescription duration limit policy in West Virginia in June 2018. Patients with cancer or Medicare coverage were excluded. The policy assigned a 7-day duration limit to opioid prescriptions for adults treated in outpatient hospital- or office-based practices, a 4-day limit for adults treated in emergency departments, and a 3-day limit for pediatric patients younger than 18 years regardless of clinical setting. Data were examined from January 1, 2017, through September 30, 2019, and data were analyzed from June 12 to October 30, 2023. Main Outcomes and Measures: Whether a patient's initial opioid prescription was longer in days than the June 2018 policy limit for a given care setting before and after policy implementation. Interrupted time series models were used to calculate the association between the policy's implementation and outcomes. Results: The analytic sample included 44 703 Medicaid enrollees (27 957 patients [62.5%] before policy implementation and 16 746 patients [37.5%] after policy implementation; mean [SD] age, 33.9 [13.4] years; 27 461 females [61.4%]). Among adults treated in outpatient hospital- or office-based settings, the duration limit policy was associated with a decrease of 8.83 (95% CI, -10.43 to -7.23) percentage points (P < .001), or a 56.8% relative reduction, in the proportion of prescriptions exceeding the 7-day limit. In the emergency department setting, the policy was associated with a decrease of 7.03 (95% CI, -10.38 to -3.68) percentage points (P < .001), a 37.5% relative reduction, in the proportion of prescriptions exceeding the 4-day limit. The proportion of pediatric opioid prescriptions longer than the 3-day limit decreased by 12.80 (95% CI, -17.31 to -8.37) percentage points (P < .001), a 26.5% relative reduction, after the policy's implementation. Conclusions and Relevance: Results of this cross-sectional study suggest that opioid prescription duration limits tailored to different clinical settings are associated with reduced length of prescriptions for opioid-naive patients. Additional research is needed to evaluate whether these limits are associated with reductions in the incidence of opioid use disorder or with unintended consequences, such as shifts to illicit opioids.

Indexed as

Analgesics, OpioidMedicareAdultAgedChildCross-Sectional StudiesFemaleHumansPractice Patterns, Physicians'PrescriptionsUnited StatesAnalgesics, Opioid

Identifiers

PMID38241057
PMCPMC10799257
OpenAlexW4391035317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.