Evidence map›Paper›PMID 39713089›Full record

ArticleVictims & offenders2024

Veterans Treatment Courts: A Nationwide Review of Enacting and Eligibility State Statutes.

Sabrina S Rapisarda, Kimberly R Kras, Grace LeMoyne, Don Hummer, Kelly Socia

Abstract read
In one paragraph

Article in Victims & offenders, 2024. 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

5 authors.

Sabrina S RapisardaUniversity of Massachusetts Lowell.
Kimberly R KrasSan Diego State University.
Grace LeMoyneSan Diego State University.
Don HummerPenn State Harrisburg.
Kelly SociaUniversity of Massachusetts Lowell.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Technical Assistance CoreU2CDA050097 · NIDA · GEORGE MASON UNIVERSITY · PI Jessica Hulsey Nickel · 2019 to 2026
$37.0M
HEAL Accelerator: Leveraging Partnerships and Targeted Dissemination to Advance UptakeOT2OD034479 · OD · GEORGE MASON UNIVERSITY · PI TAXMAN, FAYE S · 2022 to 2023
$5.6M
NCATS NIH HHS UL1 TR001863NIDA NIH HHS U2C DA050097NIH HHS OT2 OD034479
6 · The paper itself

Abstract

Veterans treatment court (VTC) is the fastest growing type of treatment court in the United States with over 600 VTCs in operation today. Despite this recent proliferation, minimal scholarship has been conducted investigating how the state-level statutory landscape influences VTCs. The current study begins to address this gap by comprehensively reviewing and analyzing state legislation that governs the enactment, operation, and eligibility requirements of VTCs nationwide. Our initial search reveals that 70% of states currently operating VTCs are statutorily authorized at the state-level, of which nearly two-thirds also enumerates operational and eligibility criteria, such as military status and branch, mental health diagnosis, the "nexus", criminal history, military discharge status, offense severity and type, and more. Our analysis indicates considerable variation and nuance across states but coalesced into several unifying themes. The results provide insights on one of the many important powers involved in shaping the operational and eligibility elements of VTCs-state legislatures-and can serve as a catalyst for future research on the myriad factors involved in determining how we conceptualize VTCs and who is included in them.

Indexed as

eligibilitystatutesveterans treatment courtsVTCs

Identifiers

PMID39713089
PMCPMC11658118

What OpenQuestion holds

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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.