Evidence map›Paper›PMID 41796274›Full record

ArticleHealth services research2026

The All-Payer Claims Database After the Gobeille Supreme Court Decision: Assessing the Impact on Fatal Opioid-Related Overdose Research.

Jack Cordes, Cici Bauer, Dana Bernson, Marc R Larochelle, Wenjun Li, Jiahao Cao, Olaf Dammann, Thomas J Stopka

Abstract read
In one paragraph

Article in Health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jack CordesDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2706-615X
Cici BauerDepartment of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA.
Dana BernsonOffice of Population Health, Department of Public Health, Commonwealth of Massachusetts, Boston, Massachusetts, USA.
Marc R LarochelleClinical Addiction Research and Education Unit, Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, Massachusetts, USA.
Wenjun LiDepartment of Public Health and Center for Health Statistics, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
Jiahao CaoDepartment of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA.
Olaf DammannDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, USA.
Thomas J StopkaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, USA.

Funding

Predict to Prevent: Dynamic Spatiotemporal Analyses of Opioid Overdose to Guide Pre-Emptive Public Health ResponsesR01DA054267 · NIDA · TUFTS UNIVERSITY BOSTON · PI Cici Bauer, Thomas J Stopka · 2022 to 2026
$3.4M
NIDA NIH HHS R01DA054267
6 · The paper itself

Abstract

objectiveTo determine the consequences of the Gobeille v. Liberty Mutual Supreme Court decision on the representativeness of the Massachusetts all-payer claims database (APCD). The loss of individuals captured in the APCD may vary demographically, geographically, and in the capture of fatal opioid-related overdose (OOD). DATA SOURCES AND STUDY

settingWe used 2013-2021 data from the Massachusetts Public Health Data Warehouse (PHD), which links person-level APCD records to other datasets. The APCD includes commercially-insured health claims mandatorily reported pre-Gobeille. Post-Gobeille, reporting from self-insured plans, a subset of commercially-insured plans, became voluntary. STUDY

designIn a repeated cross-sectional design, we compared the APCD population characteristics in 2015 to each subsequent year 2016-2021. DATA COLLECTION/EXTRACTION

methodsWe compared pre-post Gobeille statewide APCD demographic distributions using standardized mean differences and assessed geographic distribution changes by ZIP Code. We identified fatal OOD using death certificates. We used annual and monthly interrupted time-series models with publicly-available state records as the control to quantify the pre- (2013-2015) and post- (2016-2021) Gobeille changes in the total APCD population and in fatal OOD when linked to the APCD within the PHD. PRINCIPAL

findingsWithin APCD, the commercially-insured population decreased by 38% post-Gobeille. State-level age increased slightly and sex distributions remained stable, while proportions of White non-Hispanic individuals decreased. Suburban ZIP Codes had the highest losses of individuals. In 2021, under 80% of fatal OODs could be linked to the APCD, compared to 95% linkage pre-Gobeille. The change in monthly fatal OOD rates when linked to the APCD was 0.55 persons higher per 100,000 people post-Gobeille (95% CI: 0.05, 1.05) than the change observed in official statistics.

conclusionsThe Gobeille decision negatively impacted APCD geographic and racial representativeness in Massachusetts, which should be addressed to improve external validity in Massachusetts and other states using APCDs to assess health services.

Indexed as

Databases, FactualDrug OverdoseInsurance Claim ReviewOpiate OverdoseSupreme Court DecisionsCross-Sectional StudiesFemaleHumansMaleMassachusettsAPCDcontrolled interrupted time‐seriesGobeilleopioid‐related overdoserepresentativeness

Identifiers

PMID41796274
PMCPMC12967906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.