Evidence map›Paper›PMID 42096694›Full record

Observational studyJournal of medical Internet research2026

Posttraumatic Symptoms as Predictors of Engagement With a Mobile App for Coping After Military Sexual Trauma: Public Usage Data Analysis Study.

Shilpa Hampole, Shannon McCaslin-Rodrigo, Valerie Carr, David Schuster, Sofia Reyes, Sarah Senti, Kelly M Ramsey, Jason E Owen, W Christopher Skidmore, Amy E Street and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2026. 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

12 authors.

Shilpa Hampole *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-5820-7034
Shannon McCaslin-Rodrigo *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0003-2137-301X
Valerie Carr *Department of Psychology, San José State University, San Jose, CA, United States.ORCID https://orcid.org/0000-0002-2969-2181
David Schuster *Department of Psychology, San José State University, San Jose, CA, United States.ORCID https://orcid.org/0000-0002-2698-7654
Sofia Reyes *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0009-0008-8253-9793
Sarah Senti *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-8113-5825
Kelly M Ramsey *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0001-8668-2708
Jason E Owen *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-1463-2469
W Christopher Skidmore *Office of Mental Health, Veterans Health Administration, Washington, DC, United States.ORCID https://orcid.org/0000-0002-6870-0869
Amy E Street *Office of Mental Health, Veterans Health Administration, Washington, DC, United States.ORCID https://orcid.org/0000-0003-4554-9075
Katherine Taylor *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-8319-0027
Margaret-Anne Mackintosh *Dissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-2725-3177

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMilitary sexual trauma (MST) can have significant adverse effects on mental health and well-being, often leading to posttraumatic stress disorder (PTSD) symptoms and maladaptive beliefs. Although effective psychotherapies exist, stigma, confidentiality concerns, and systemic barriers often hinder help-seeking among service members and veterans. Mobile mental health apps offer an accessible and anonymous support alternative, potentially addressing such barriers. However, app effectiveness depends on user engagement and emerging evidence suggests that engagement may be shaped by symptom severity.

objectiveThis retrospective observational study aimed to explore the relationship between posttraumatic symptom severity and user engagement with Beyond MST (US Department of Veterans Affairs [VA] National Center for PTSD), an app for individuals who experienced MST. Specific aims included (1) characterizing trauma-related symptom levels and app engagement among users who completed in-app assessments, and (2) evaluating how PTSD symptom severity, negative posttraumatic cognitions, and mental well-being relate to objective measures of engagement.

methodsAnonymous usage data from 27,517 users collected between March 11, 2021 and July 29, 2024, were analyzed. Three subsamples were identified: those who completed the in-app PTSD checklist for DSM-5 (Diagnostic and Statistical Manual of Mental Disorders [Fifth Edition]; PCL-5, n=3689), the Posttraumatic Maladaptive Beliefs Scale (PMBS; n=2197), and the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS; n=2160). Engagement metrics included duration of use (ie, days of use and minutes of use), frequency of feature access (ie, coping tool and psychoeducation access), and frequency of feature use (ie, total assessment completions). Regression analyses, including quadratic terms, were conducted to evaluate how symptom severity and well-being levels influenced engagement and identify possible curvilinear trends.

resultsMedian engagement levels ranged across subsamples as follows: 3-4 days of use (IQR 5-6), 22-30 minutes of use (IQR 33.7-42.9), 1-5 feature accesses (IQR 6-9), and 2-3 assessment completions (IQR 2). Subsamples were highly symptomatic. Analyses revealed that moderate PTSD symptom and negative posttraumatic cognition severity were associated with higher engagement relative to users with very low and very high symptom levels, particularly for days of use and frequency of coping tool access. Conversely, higher mental well-being scores were generally linked to increased app engagement with linear effects. Effect sizes were small, suggesting limited clinical impact.

conclusionsThis study highlights the possible challenges in engaging highly symptomatic individuals with digital mental health interventions. Although Beyond MST successfully reaches its targeted population, very low or high symptom levels and lower well-being may hinder sustained engagement. These findings suggest that symptom levels should be considered in app development (ie, personalization) and when integrating apps into professional care. Interpretation is limited by the anonymous nature of the data, which prevented characterization of users and their trauma histories. Further research is needed to clarify how symptom patterns influence engagement, especially in trauma contexts. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.31979/etd.882a-5fcx.

Indexed as

Adaptation, PsychologicalMilitary PersonnelMobile ApplicationsSexual TraumaStress Disorders, Post-TraumaticAdultCoping SkillsData AnalysisFemaleHumansMaleMiddle AgedMilitary Sexual TraumaRetrospective StudiesUnited StatesVeteransdigital healthmental healthmHealthmilitary sexual traumamobile appposttraumatic stress disorderpublic healthtraumaveterans

Identifiers

PMID42096694
PMCPMC13195377

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.