Evidence map›Paper›PMID 39594293›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Optimizing Allocation to Telehealth and In-Person Prolonged Exposure for Women Veterans with Military Sexual Trauma: A Precision Medicine Approach.

Evangelia Argyriou, Daniel F Gros, Melba A Hernandez Tejada, Wendy A Muzzy, Ron Acierno

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Evangelia ArgyriouDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-9113-0334
Daniel F GrosMental Health Service, Ralph H. Johnson VA Healthcare System, Charleston, SC 29401, USA.ORCID 0000-0003-3946-6716
Melba A Hernandez TejadaFaillace Department of Psychiatry, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0003-0732-1248
Wendy A MuzzyMental Health Service, Ralph H. Johnson VA Healthcare System, Charleston, SC 29401, USA.
Ron AciernoMental Health Service, Ralph H. Johnson VA Healthcare System, Charleston, SC 29401, USA.ORCID 0000-0001-8799-8210

Funding

Treatment of Prolonged Grief Disorder in Combat VeteransI01CX001102 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI ACIERNO, RONALD E. · 2015 to 2019
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CSRD VA I01 CX001102
6 · The paper itself

Abstract

Military sexual trauma-related post-traumatic stress disorder (PTSD) is highly prevalent and costly among women veterans, making the need for effective and accessible treatment of critical importance. Access to care is a key mechanism of mental health disparities and might affect differential response to treatment. The goal of this study was to estimate an individualized treatment rule based on readily available individual characteristics related to access to care to optimize allocation to in-person vs. telehealth delivery of prolonged exposure for PTSD in military sexual trauma survivors. The following variables were used as prescriptive factors: age, race, disability status, socioeconomic status, rural vs. urban status, and baseline PTSD level. The rule was estimated using a machine-learning approach, Outcome Weighted Learning. The estimated optimal rule outperformed a one-size-fits-all rule where everyone is universally assigned to telehealth; it led to markedly lower mean PTSD levels following 6 months from treatment (Vd

Indexed as

individualized treatment rulemilitary sexual traumaprecision medicineprolonged exposurePTSDtelehealth

Identifiers

PMID39594293
PMCPMC11591394

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.