Evidence map›Paper›PMID 37872261›Full record

ArticleThe journal of behavioral health services & research2024

Organizational Network Analysis of SAMHSA's Technology Transfer Center (TTC) Network.

Jon Agley, Ruth Gassman, Kaitlyn Reho, Jeffrey Roberts, Susan K R Heil, Lilian Golzarri-Arroyo, Kate Eddens

Abstract read
In one paragraph

Article in The journal of behavioral health services & research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Jon AgleyPrevention Insights, Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, 809 E. 9th St, Bloomington, IN, 47405, USA. jagley@indiana.edu.ORCID 0000-0003-2345-8850
Ruth GassmanPrevention Insights, Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, 809 E. 9th St, Bloomington, IN, 47405, USA.
Kaitlyn RehoPrevention Insights, Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, 809 E. 9th St, Bloomington, IN, 47405, USA.
Jeffrey RobertsPrevention Insights, Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, 809 E. 9th St, Bloomington, IN, 47405, USA.
Susan K R HeilAmerican Institutes for Research (AIR), Arlington, VA, USA.
Lilian Golzarri-ArroyoBiostatistics Consulting Center, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, USA.
Kate EddensDepartment of Epidemiology and Biostatistics, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, USA.

Funding

SAMHSA HHS TI082543
6 · The paper itself

Abstract

Technology transfer centers (TTCs) facilitate the movement of evidence-based practices in behavioral healthcare from theory to practice. One of the largest such networks is the Substance Abuse and Mental Health Services Administration's (SAMHSA) TTC Network. This brief report shares findings from an organizational network analysis (ONA) of the network conducted as part of an external evaluation. For non-supervisory TTCs (n = 36) across three focus areas (addiction, prevention, and mental health), the authors computed network density, harmonic closeness, and non-null dyadic reciprocity for five types of interactions (e.g., "collaborated in workgroups"), then, for each interaction type, used Welch's T-test to compare mean harmonic closeness of standalone TTC grantees versus multiple-TTC grantees. ONA identified potentially isolated regional TTCs as well as mismatches between some centers' desired scope and their network centrality and enabled investigation of broader questions around behavioral health support systems. The approach appears useful for evaluating TTCs and similar support networks.

Indexed as

Behavior, AddictiveMental Health ServicesSubstance-Related DisordersHumansTechnology TransferUnited StatesUnited States Substance Abuse and Mental Health Services AdministrationAddictionEvaluationMental healthNetwork analysisPreventionSAMHSATechnology transfer centerTTC

Identifiers

PMID37872261
PMCPMC10733212

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.