Evidence map›Paper›PMID 39745202›Full record

ArticleAnnals of medicine2025

A scoping review of healthcare effectiveness data and information set (HEDIS) substance use disorder measures.

Oliver Ethan Goal, Isca Amanda, Cameron Adams, Maria Adela Grando

Abstract readScoping Review
In one paragraph

Article in Annals of medicine, 2025. 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. Article
  2. 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

4 authors.

Oliver Ethan GoalCollege of Health Solutions, Arizona State University, Phoenix, Arizona, USA.
Isca AmandaCollege of Health Solutions, Arizona State University, Phoenix, Arizona, USA.
Cameron AdamsArizona Health Care Cost Containment System, Phoenix, Arizona, USA.
Maria Adela GrandoCollege of Health Solutions, Arizona State University, Phoenix, Arizona, USA.ORCID 0000-0002-5769-8556

Funding

SHARES: Substance use HeAlth REcord SharingR01DA056984 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MARIA ADELA GRANDO · 2023 to 2026
$2.6M
NIDA NIH HHS R01 DA056984
6 · The paper itself

Abstract

introductionThere is a need to assess the delivery of interventions to improve substance use disorder (SUD) treatment, as measured by the Healthcare Effectiveness Data and Information Set (HEDIS®) metrics. The goal was to characterize published articles reporting HEDIS® SUD measures and recommend future work on applying and investigating SUD HEDIS® metrics and their effect on SUD treatments MATERIALS AND

methodsThe PRISMA-ScR scoping review protocol was used to find published work and investigate the most common reported baseline characteristics, HEDIS® metric outcomes, and knowledge gaps. Peer-reviewed papers available through PubMed, Academic Search Premier, Elsevier/ScienceDirect, and Medline were searched up to August 14, 2022

resultsTwenty-eight articles were included after removing 92 duplications. Twenty-five articles were retrospective cohort studies, two were RCTs, and there was a mixed-method study. SUD metrics were studied in diverse settings, including ED, primary care, mental health care, and SUD specialty care. Twenty-seven papers utilized the Initiation and Engagement of Substance Use Disorder Treatment (IET) measure, and 13 had similar data sources, study populations, and authors. Eight papers presented IET results by substance used, primarily alcohol, cannabis, and opioids

conclusionsMore research is needed on the HEDIS® SUD metrics and their usefulness in informing SUD prevention and treatment, policy, and public health outcomes

Indexed as

Substance-Related DisordersHumansaddictionHEDIS metricsScoping review

Identifiers

PMID39745202
PMCPMC11703095

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.