Evidence map›Paper›PMID 34732177›Full record

ArticleBMC health services research2021

Implementation of mandatory opioid prescribing limits in North Carolina: healthcare administrator and prescriber perspectives.

Natalie A Blackburn, Elizabeth Joniak-Grant, Maryalice Nocera, Samantha Wooten Dorris, Nabarun Dasgupta, Paul R Chelminski, Timothy S Carey, Li-Tzy Wu, David A Edwards, Stephen W Marshall and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Natalie A BlackburnUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA. nblackburn@unc.edu.
Elizabeth Joniak-GrantUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA.
Maryalice NoceraUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA.
Samantha Wooten DorrisUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA.
Nabarun DasguptaUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA.
Paul R ChelminskiDepartment of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Timothy S CareyDepartment of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Li-Tzy WuDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
David A EdwardsDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Stephen W MarshallUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA.
Shabbar I RanapurwalaUniversity of North Carolina Injury Prevention Research Center, Chapel Hill, NC, 27516, USA.

Funding

NCIPC CDC HHS R01 CE003009
6 · The paper itself

Abstract

backgroundRecent increases in state laws to reduce opioid prescribing have demonstrated a need to understand how they are interpreted and implemented in healthcare systems. The purpose of this study was to explore the systems, strategies, and resources that hospital administrators and prescribers used to implement the 2017 North Carolina Strengthen Opioid Prevention (STOP) Act opioid prescribing limits, which limited initial prescriptions to a five (for acute) or seven (for post-surgical) days' supply.

methodsWe interviewed 14 hospital administrators and 38 prescribers with degrees in medicine, nursing, pharmacy, business administration and public health working across North Carolina. Interview guides, informed by the Consolidated Framework for Implementation Research, explored barriers and facilitators to implementation. Interview topics included communication, resources, and hospital system support. Interviews were recorded and transcribed, then analyzed using flexible coding, integrating inductive and deductive coding, to inform analytic code development and identify themes.

resultsWe identified three main themes around implementation of STOP act mandated prescribing limits: organizational communication, prescriber education, and changes in the electronic medical record (EMR) systems. Administrators reflected on implementation in the context of raising awareness and providing reminders to facilitate changes in prescriber behavior, operationalized through email and in-person communications as well as dedicated resources to EMR changes. Prescribers noted administrative communications about prescribing limits often focused on legality, suggesting a directive of the organization's policy rather than a passive reminder. Prescribers expressed a desire for more spaces to have their questions answered and resources for patient communications. While hospital administrators viewed compliance with the law as a priority, prescribers reflected on concerns for adequately managing their patients' pain and limited time for clinical care.

conclusionsHospital administrators and prescribers approached implementation of the STOP act prescribing limits with different mindsets. While administrators were focused on policy compliance, prescribers were focused on their patients' needs. Strategies to implement the mandate then had to balance patient needs with policy compliance. As states continue to legislate to prevent opioid overdose deaths, understanding how laws are implemented by healthcare systems and prescribers will improve their effectiveness through tailoring and maximizing available resources.

Indexed as

Analgesics, OpioidPractice Patterns, Physicians'HumansNorth CarolinaPrescriptionsAnalgesics, Opioid

Identifiers

PMID34732177
PMCPMC8565171

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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.