Evidence map›Paper›PMID 36609812›Full record

ArticleJournal of general internal medicine2023

Association of a State Prescribing Limits Policy with Opioid Prescribing and Long-term Use: an Interrupted Time Series Analysis.

Peter Treitler, Hillary Samples, Richard Hermida, Stephen Crystal

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2023. 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
–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

0 citing papers in PubMed.

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

4 authors.

Peter TreitlerInstitute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ, USA. peter.treitler@rutgers.edu.ORCID 0000-0001-9360-2454
Hillary SamplesInstitute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ, USA.
Richard HermidaInstitute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ, USA.
Stephen CrystalInstitute for Health, Health Care Policy & Aging Research, Rutgers University, New Brunswick, NJ, USA.

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Opioid Overdoses among Medicaid Beneficiaries: Predictors, Outcomes, and State Policy EffectsR01DA047347 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2019 to 2022
$3.1M
Multi-level associations between opioid use and overdose: Individual, clinical, and population-based risk factors for fatalityK01DA049950 · NIDA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SAMPLES, HILLARY · 2020 to 2024
$981k
NCATS NIH HHS UL1 TR003017NCATS NIH HHS UL1TR003017NIDA NIH HHS 1R01 DA047347-01NIDA NIH HHS K01 DA049950NIDA NIH HHS R01 DA047347
6 · The paper itself

Abstract

backgroundPrescription opioids were a major initial driver of the opioid crisis. States have attempted to reduce overprescribing by enacting policies that limit opioid prescriptions, but the impacts of such policies on new prescribing and subsequent transitions to long-term use are not fully understood.

objectiveTo examine the association of implementation of a state prescribing limits policy with opioid prescribing and transitions to long-term opioid use.

designInterrupted time series analyses assessing trends in new opioid prescriptions and long-term use before and after policy implementation. PATIENTS: A total of 130,591 New Jersey Medicaid enrollees ages 18-64 who received an initial opioid prescription from January 2014 to December 2019.

interventionsNew Jersey's opioid prescribing limit policy implemented in March 2017. MAIN MEASURES: Total new opioid prescriptions, percentage of new prescriptions with >5 days' supply, and transition to long-term opioid use, defined as having opioid supply on day 90 after the initial prescription. KEY

resultsPolicy implementation was associated with a significant monthly increase in new opioid prescriptions of 0.86 per 10,000 enrollees, halving the pre-policy decline in the prescribing rate. Among new opioid prescriptions, the percentage with >5 days' supply decreased by about 1 percentage point (-0.76 percentage points, 95% CI -0.89, -0.62) following policy implementation. However, policy implementation was associated with a significant monthly increase in the rate of initial prescriptions with supply on day 90 (9.95 per 10,000 new prescriptions, 95% CI 4.80, 15.11) that reversed the downward pre-implementation trend.

conclusionsThe New Jersey policy was associated with a reduction in initial prescriptions with >5 days' supply, but not with an overall decline in new opioid prescriptions or in the rate at which initial prescriptions led to long-term use. Given their only modest benefits, policymakers and clinicians should carefully weigh potential unintended consequences of strict prescribing limits.

Indexed as

Analgesics, OpioidOpioid-Related DisordersDrug PrescriptionsHumansInterrupted Time Series AnalysisPractice Patterns, Physicians'PrescriptionsUnited StatesAnalgesics, OpioidHealth policyLong-term opioid useOpioid prescribingPrescribing limits

Identifiers

PMID36609812
PMCPMC10271990

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.