Evidence map›Paper›PMID 38943537›Full record

ArticleMilitary medicine2025

Organizational Capacity for Sexual Assault Prevention Within a U.S. Army Installation.

Abigail D Hazlett, Justin K Benzer, Kendra Montejos, Demietrice L Pittman, Suzannah K Creech, Kasey R Claborn, Joie Acosta, Matthew Chinman

Abstract read
In one paragraph

Article in Military medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Abigail D HazlettMoody College of Communication, University of Texas at Austin, Austin, TX 78712-0115, USA.
Justin K BenzerDepartment of Psychiatry and Behavioral Sciences, Dell Medical School, Austin, TX 78712, USA.ORCID 0000-0001-5151-2127
Kendra MontejosEducation Leadership and Policy, University of Texas at Austin, Austin, TX 78712, USA.
Demietrice L PittmanUS Army Recruiting Command, Fort Sam Houston, TX 78234, USA.
Suzannah K CreechDepartment of Psychiatry and Behavioral Sciences, Dell Medical School, Austin, TX 78712, USA.
Kasey R ClabornSteve Hicks School of Social Work, University of Texas at Austin, Austin, TX 78712, USA.
Joie AcostaRAND Corporation, Arlington, VA 22202, USA.
Matthew ChinmanRAND Corporation, Arlington, VA 22202, USA.ORCID 0000-0001-5390-8723

Funding

Adherence Intervention for HIV-infected Drug UsersK23DA039037 · NIDA · UNIVERSITY OF TEXAS AT AUSTIN · PI CLABORN, KASEY R · 2015 to 2019
$919k
Mobile Application to Improve Care Coordination among HIV Clinic and Substance Use Treatment ProvidersR34DA041237 · NIDA · UNIVERSITY OF TEXAS AT AUSTIN · PI CLABORN, KASEY R · 2016 to 2018
$714k
Congressionally Directed Medical Research Programs PT190165NIDA NIH HHS K23 DA039037NIDA NIH HHS R34 DA041237
6 · The paper itself

Abstract

introductionPreventing military sexual assault (SA) is a DoD priority. Building prevention capacity could strengthen the impact of prevention programs and improve outcomes. Capacity was conceptualized as implementation knowledge and skills using the Getting To Outcomes (GTO) process and organizational-level capacities using the Prevention Evaluation Framework, a framework that applies best practices in prevention and implementation science to prevention at the program and organizational level. The present study assesses implementation knowledge and skills currently possessed by SA prevention personnel in one U.S. Army installation with the goal of identifying preexisting proficiencies and potential gaps. The study uses the Prevention Evaluation Framework organizational-level domains to identify organizational capacities that could be improved. MATERIALS AND

methodsFifteen SA prevention program personnel were recruited for individual 1-hour interviews from one U.S. Army installation. A semi-structured interview guide was developed by the study team to assess knowledge and skills within the GTO framework. Applied thematic analysis guided data coding and analysis.

resultsParticipants reported a range of proficiencies and gaps in capacity for SA prevention. Within the prevention workforce capacity, proficiencies were skill in tailoring training, and an existing train-the-trainer model. Gaps were training to facilitate difficult conversations, and an inability to tailor trainings to audience needs. Two proficiencies related to the comprehensive approach were having a victim advocate present during trainings, and providing training across leadership levels. The final proficiency involved data. Existing data sources were viewed as useful for identifying the nature and extent of local problems. However, participants reported a lack of confidence and skill in selecting appropriate outcome measures and collecting and using primary data. Gaps in leadership capacity were cultural norms, lack of trust, leader investment, logistical difficulty working with leaders, and comfort engaging with leaders. Gaps in collaborative relationships were the lack of informal networking within the SA prevention area to include civilians.

conclusionsThe GTO-specific knowledge and skills of SA prevention personnel at one U.S. Army installation revealed proficiencies and gaps in organizational capacities influencing the prevention mission. Findings indicate that GTO support could be useful for improving the quality of program activities. However, results also indicate that GTO support would be more effective if they were paired with sufficient prevention infrastructure at the organizational level.

Indexed as

Capacity BuildingMilitary PersonnelSex OffensesAdultFemaleHumansInterviews as TopicMaleQualitative ResearchUnited States

Identifiers

PMID38943537
PMCPMC13396151

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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.