Evidence map›Paper›PMID 36441694›Full record

ArticleThe Milbank quarterly2022

Conceptualizing and Measuring Abatement from the Opioid Epidemic: A Case Study from Pennsylvania.

Danielle Rhubart, Qiushi Chen, Glenn Sterner, Robert Newton, Bethany Shaw, Dennis Scanlon

Abstract read
In one paragraph

Article in The Milbank quarterly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Initial stakeholder perceptions around opioid settlement funds in Pennsylvania.Substance abuse treatment, prevention, and policy · 2025
    Article
  2. Fair allocation strategies for opioid settlements.Health care management science · 2025
    Article
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.

Danielle RhubartDepartment of Biobehavioral Health, The Pennsylvania State University.ORCID 0000-0001-6649-5104
Qiushi ChenThe Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University.
Glenn SternerCriminal Justice Research Center Department of Criminal Justice, The Pennsylvania State University.
Robert NewtonThe Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, The Pennsylvania State University.ORCID 0000-0002-6211-5511
Bethany ShawCenter for Health Care and Policy Research, The Pennsylvania State University.
Dennis ScanlonDepartment of Health Policy and Administration and the Center for Health Care and Policy Research, The Pennsylvania State University.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Policy Points In 2021, four major pharmaceutical manufacturers and distributors reached a proposed settlement agreement with 46 state Attorneys General of $26 billion to address their liabilities in fueling the US opioid epidemic. It raises important questions about abatement conceptualization and measurement for allocating settlement funds among substate entities. We outline the political economy tensions undergirding the settlement and allocation, introduce an abatement conceptual framework, describe how an abatement formula was developed for Pennsylvania to allocate settlement funds, and summarize considerations for future settlement allocation efforts. Documenting the challenges and experiences of this task is essential to inform future efforts.

Indexed as

Analgesics, OpioidOpioid EpidemicHealth PolicyPennsylvaniaAnalgesics, OpioidabatementOpioid epidemicsettlement

Identifiers

PMID36441694
PMCPMC9836243

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.