Evidence map›Paper›PMID 39754113›Full record

ArticleBMC health services research2025

Mixed method study of feasibility and acceptability of electronic screening for measurement-based symptom monitoring of veterans accessing mental health treatment in VA community care program settings.

Erin Almklov, Michael W Lee, John D Gault, Brian H Blanco, Brian Huynh, Abigail Angkaw, Neal Doran, Niloofar Afari, James O E Pittman

Abstract read
In one paragraph

Article in BMC health services research, 2025. 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

9 authors.

Erin AlmklovVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Michael W LeeVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
John D GaultVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Brian H BlancoVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Brian HuynhVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Abigail AngkawVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Neal DoranVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Niloofar AfariVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
James O E PittmanVA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA. jpittman@health.ucsd.edu.

Funding

VA Virtual Care QUERI 1l50HX003202
6 · The paper itself

Abstract

background2022 survey data showed 29% of Veterans utilized Veterans Affairs (VA) paid health care at a non-VA facility, 6% higher than in 2021. Despite an increase in the number of Veterans accessing care in the community via the MISSION Act Community Care Program (CCP), there is limited information on the quality of mental health care delivered to Veterans in these settings. Further, Veterans report barriers to quality care, including poor communication between CCP and VA providers, which can result in negative patient outcomes. We aimed to evaluate the feasibility and acceptability of using electronic screening, eScreening, as part of a process involving remote symptom screening, symptom monitoring, and clinically driven communication from VA to CCP providers, for Veterans accessing mental health treatment in CCP settings.

methodsVeterans (n = 150) diagnosed with major depressive disorder, an anxiety disorder, post-traumatic stress disorder, and/or an adjustment disorder referred to mental health care in CCP between August-November 2021 were eligible to participate. Veterans received an eScreening link to complete an initial web-based assessment and three follow-up assessments spaced 4-6 weeks apart over the course of their treatment. Quantitative assessment data was largely characterized using descriptive statistics and included patient-reported outcome (PRO) measures (PTSD and depression), health-related quality of life/functioning, community care information (e.g., number of sessions attended), and satisfaction with the eScreening technology. Qualitative interview data was also collected from participating Veterans and CCP providers to better understand experiences with eScreening.

resultsFindings support the feasibility and acceptability of using eScreening to administer and monitor PROs for Veterans accessing mental health treatment in CCP. Of the Veterans who provided eScreening satisfaction ratings (Ns = 45-55), 89% had no technical difficulties; 78% felt comfortable entering personal information; and 83% were neutral or positive about ease of use. Focus group interviews revealed strong support from Veterans, who stated the software was easy to use; they felt comfortable completing PRO measures; and they appreciated having their symptoms monitored. Similarly, providers indicated eScreening had a positive impact on communication, collaboration of care, and transparency.

conclusionsTechnologies like eScreening represent a promising tool to support the mental health care Veterans receive when they access CCP.

Indexed as

Feasibility StudiesUnited States Department of Veterans AffairsVeteransAdultAgedFemaleHumansMaleMental DisordersMental Health ServicesMiddle AgedPatient Acceptance of Health CareUnited StatesCommunity careeScreeningMeasurement based careMental healthVeterans

Identifiers

PMID39754113
PMCPMC11697935

What OpenQuestion holds

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LicenceCC BY
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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.