Evidence map›Paper›PMID 34484881›Full record

ArticleRand health quarterly2021

Improving Behavioral Health Care for U.S. Army Personnel: Identifying Predictors of Treatment Outcomes.

Kimberly A Hepner, Carol P Roth, Eric R Pedersen, Sujeong Park, Claude Messan Setodji

Open access · greenAbstract read
In one paragraph

Article in Rand health quarterly, 2021. 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
0.6field-weighted citation impact, top 23% of its field
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, 2 citations in OpenAlex.

  1. 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

5 authors.

Kimberly A Hepner
Carol P Roth
Eric R Pedersen
Sujeong Park
Claude Messan Setodji

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article identifies factors associated with changes in outcomes for soldiers who received Army behavioral health (BH) specialty care and provides recommendations to improve BH care and outcomes. RAND researchers identified three samples of soldiers who received Army BH care with diagnoses of posttraumatic stress disorder (PTSD), depression, or anxiety and whose symptoms were assessed during their care. Multivariate analyses included 141 patient and treatment variables to identify factors associated with symptom improvement. Analyses also examined patterns in how the symptoms changed over time. Analyses suggest that the Behavioral Health Data Portal, an online system that allows for collection of multiple patient- and clinician-reported measures, is widely used to track symptoms of PTSD, depression, and anxiety, but there are opportunities to expand symptom tracking. Two treatment factors-therapeutic alliance and receipt of benzodiazepines-were associated with treatment outcomes. Specifically, a stronger therapeutic relationship or alliance with providers, as reported by soldiers, was associated with improved PTSD, depression, and anxiety outcomes. Further, receipt of more than a 30-day supply of benzodiazepines was associated with poorer PTSD, depression, and anxiety outcomes. Many soldiers' trajectories of symptom change did not demonstrate improvement. Recommendations include providing feedback and guidance to providers on how to strengthen alliance with their patients, expanding tracking and feedback on benzodiazepine prescribing, and increasing provider use of measurement-based BH care.

Indexed as

DepressionMental Health TreatmentMilitary Health and Health CarePanic Disorder and AnxietyPosttraumatic Stress DisorderUnited States Army

Identifiers

PMID34484881
PMCPMC8383838
OpenAlexW3003857937

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.