Evidence map›Paper›PMID 19395204›Full record

ArticleDrug and alcohol dependence2009

Availability and capacity of substance abuse programs in correctional settings: A classification and regression tree analysis.

Faye S Taxman, Panagiota Kitsantas

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

2 authors.

Faye S TaxmanAdministration of Justice Department, George Mason University, Manassas, VA 20110, United States. ftaxman@gmu.edu
Panagiota Kitsantas

Funding

Action Research to Advance Implementation in the CJS: CJ-DATS 2 ContinuationU01DA016213 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI TAXMAN, FAYE S · 2002 to 2010
$6.4M
NIDA NIH HHS U01 DA016213NIDA NIH HHS U01 DA16213
6 · The paper itself

Abstract

unlabelledOBJECTIVE TO BE ADDRESSED: The purpose of this study was to investigate the structural and organizational factors that contribute to the availability and increased capacity for substance abuse treatment programs in correctional settings. We used classification and regression tree statistical procedures to identify how multi-level data can explain the variability in availability and capacity of substance abuse treatment programs in jails and probation/parole offices.

methodsThe data for this study combined the National Criminal Justice Treatment Practices (NCJTP) Survey and the 2000 Census. The NCJTP survey was a nationally representative sample of correctional administrators for jails and probation/parole agencies. The sample size included 295 substance abuse treatment programs that were classified according to the intensity of their services: high, medium, and low. The independent variables included jurisdictional-level structural variables, attributes of the correctional administrators, and program and service delivery characteristics of the correctional agency.

resultsThe two most important variables in predicting the availability of all three types of services were stronger working relationships with other organizations and the adoption of a standardized substance abuse screening tool by correctional agencies. For high and medium intensive programs, the capacity increased when an organizational learning strategy was used by administrators and the organization used a substance abuse screening tool. Implications on advancing treatment practices in correctional settings are discussed, including further work to test theories on how to better understand access to intensive treatment services. This study presents the first phase of understanding capacity-related issues regarding treatment programs offered in correctional settings.

Indexed as

AdultCriminal LawData CollectionDemographyEthnicityHealth Services AccessibilityHumansLearningModels, StatisticalOrganizational CulturePrisonsRegression AnalysisSubstance-Related DisordersUnited States

Identifiers

PMID19395204
PMCPMC3241974

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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.