Evidence map›Paper›PMID 40268416›Full record

ArticlePharmacoepidemiology and drug safety2025

Impact of State Policies on Opioid Prescribing Among Surgery and Injury Patients: Controlled Interrupted Time-Series Study, North Carolina, 2014-2019.

Theo G Beltran, Brian W Pence, Naoko Fulcher, Nabarun Dasgupta, Courtney N Maierhofer, Bethany L DiPrete, Stephen W Marshall, Maryalice Nocera, Scott K Proescholdbell, Li-Tzy Wu and 6 more

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

16 authors.

Theo G BeltranDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-4332-6310
Brian W PenceDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Naoko FulcherInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Nabarun DasguptaInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Courtney N MaierhoferDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Bethany L DiPreteDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-1298-4433
Stephen W MarshallDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Maryalice NoceraInjury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Scott K ProescholdbellInjury and Violence Prevention Branch, Division of Public Health, NC Department of Health and Human Services, Raleigh, North Carolina, USA.
Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, North Carolina, USA.
David A EdwardsDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Timothy S CareyDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Paul R ChelminskiDepartment of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Juan M Hincapie-CastilloDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-6945-2713
Joacy G MathiasDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina, USA.
Shabbar I RanapurwalaDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0002-3944-3912

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
NCATS NIH HHS UL1 TR002553NCATS NIH HHS UM1 TR004406NCIPC CDC HHS R01 CE003009NCIPC CDC HHS R01CE003009
6 · The paper itself

Abstract

purposeImpact of policies limiting opioid prescribing for acute and post-surgical pain among racially minoritized populations is not well understood. We evaluated the impact of two North Carolina (NC) policies on outpatient opioid prescribing among injury and surgical patients by race, ethnicity, age, and sex.

methodsWe conducted controlled and single series interrupted time series using electronic health data from two integrated healthcare systems in NC, among > 11 years-old patients having acute injuries and surgery between April 2014 and December 2019. The policy interventions were safe opioid prescribing investigative initiative (SOPI, May 2016) and NC law limiting opioid days' supply (STOP Act, January 2018). Outcomes included, proportion of patients receiving index opioid prescription after surgery or injury event, receipt of subsequent opioid prescriptions, days' supply, and milligrams of morphine equivalents (MME).

resultsOf the 621 997 surgical and 864 061 injury patients, 69.4% and 19.7%, respectively, received an index opioid analgesic prescription. There were sustained declines in index opioid prescription among post-surgical patients after SOPI [-2.7% per year (-4.6, -0.9)] and STOP act [-4.1% (-5.9, -2.2)], but no change among injury patients. Policy-related opioid prescribing declines were larger among black, native American, and Hispanic post-surgical patients than whites and Asians. Index and subsequent opioid days' supply showed sustained declines after SOPI and STOP Act among post-surgical patients. There was no policy impact on MME.

conclusionsPolicies were associated with reductions in opioid prescribing, particularly in post-surgical patients; however, racialized inequities likely reflect implicit and explicit racialized biases in pain management practices.

Indexed as

Analgesics, OpioidDrug PrescriptionsHealth PolicyPostoperative PainPractice Patterns, Physicians'Wounds and InjuriesAdolescentAdultAgedChildFemaleHumansInterrupted Time Series AnalysisMaleMiddle AgedNorth CarolinaAnalgesics, Opioidopioid prescribingopioidspolicies

Identifiers

PMID40268416
PMCPMC12082966

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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.