Evidence map›Paper›PMID 35908313›Full record

ArticleThe International journal on drug policy2022

A modified Delphi process to identify experts' perceptions of the most beneficial and harmful laws to reduce opioid-related harm.

Leah K Hamilton, Katherine Wheeler-Martin, Corey S Davis, Silvia S Martins, Hillary Samples, Magdalena Cerdá

Abstract read
In one paragraph

Article in The International journal on drug policy, 2022. 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.

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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

6 authors.

Leah K HamiltonKaiser Permanente Washington Health Research Institute, 1730 Minor Avenue, Seattle, WA, 98101, United States; New York University, Grossman School of Medicine, Center for Opioid Epidemiology and Policy, 180 Madison Ave, 4th Floor, New York City, NY, 10016, United States. Electronic address: leah.k.hamilton@kp.org.
Katherine Wheeler-MartinNew York University, Grossman School of Medicine, Center for Opioid Epidemiology and Policy, 180 Madison Ave, 4th Floor, New York City, NY, 10016, United States.
Corey S DavisNew York University, Grossman School of Medicine, Center for Opioid Epidemiology and Policy, 180 Madison Ave, 4th Floor, New York City, NY, 10016, United States; Network for Public Health Law, 7101 York Avenue South, #270, Edina, MN 55435, United States.
Silvia S MartinsColumbia University, Mailman School of Public Health, Department of Epidemiology, Epidemiology, 722 West 168th St. New York, NY 10032, United States.
Hillary SamplesRutgers Institute for Health, Health Care Policy and Aging Research, 112 Paterson St., New Brunswick, NJ 08901, United States; Rutgers School of Public Health, Department of Health Behavior, 683 Hoes Lane West, Piscataway, NJ 08854, United States.
Magdalena CerdáNew York University, Grossman School of Medicine, Center for Opioid Epidemiology and Policy, 180 Madison Ave, 4th Floor, New York City, NY, 10016, United States.

Funding

Examining the Synergistic Effects of Cannabis and Prescription Opioid Policies on Chronic Pain, Opioid Prescribing, and Opioid OverdoseR01DA045872 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CERDA, MAGDALENA, MARTINS, SILVIA SABOIA · 2019 to 2023
$4.3M
NIDA NIH HHS R01 DA045872
6 · The paper itself

Abstract

backgroundStates have enacted multiple types of laws, with a variety of constituent provisions, in response to the opioid epidemic, often simultaneously. This temporal proximity and variation in state-to-state operationalization has resulted in significant challenges for empirical research on their effects. Thus, expert consensus can be helpful to classify laws and their provisions by their degree of helpfulness and impact.

methodsWe conducted a four-stage modified policy Delphi process to identify the top 10 most helpful and 5 most harmful provisions from eight opioid-related laws. This iterative consultation with six types of opioid experts included a preliminary focus group (n=12), two consecutive surveys (n=56 and n=40, respectively), and a final focus group feedback session (n=5).

resultsOn a scale of very harmful (0) to very helpful (4), overdose Good Samaritan laws received the highest average helpfulness rating (3.62, 95% CI: 3.48-3.75), followed by naloxone access laws (3.37, 95% CI: 3.22-3.51), and pain management clinic laws (3.08, 95% CI: 2.89-3.26). Drug-induced homicide (DIH) laws were rated the most harmful (0.88, 95% CI: 0.66-1.11). Impact ratings aligned similarly, although Medicaid laws received the second highest overall impact rating (3.71, 95% CI: 3.45, 3.97). The two most helpful provisions were naloxone standing orders (3.94, 95% CI: 3.86-4.02) and Medicaid coverage of medications for opioid use disorder (MOUD) (3.89, 95% CI: 3.82). Mandatory minimum DIH laws were the most harmful provision (0.73, 95% CI 0.53-0.93); followed by requiring prior authorization for Medicaid coverage of MOUD (1.00 95% CI: 0.72-1.27).

conclusionOverall, experts rated laws and provisions that facilitated harm reduction efforts and access to MOUD as most helpful. Laws and provisions rated as most harmful criminalized substance use and placed restrictions on access to MOUD. These ratings provide a foundation for evaluating the overall overdose policy environment for each state.

Indexed as

Drug OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansLegislation, DrugNaloxoneUnited StatesAnalgesics, OpioidNaloxoneDelphi methodOpioid policyOverdose policyPublic health legislation

Identifiers

PMID35908313
PMCPMC11537719

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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.