Evidence map›Paper›PMID 34582228›Full record

ArticlePsychological trauma : theory, research, practice and policy2022

Treatment dropout among veterans and their families: Quantitative and qualitative findings.

Doron Amsalem, Andrea Lopez-Yianilos, Ari Lowell, Alison M Pickover, Shay Arnon, Xi Zhu, Benjamin Suarez-Jimenez, Matt Ryba, Maja Bergman, Sara Such and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Psychological trauma : theory, research, practice and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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  3. European journal of psychotraumatology · 2026
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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

15 authors at 2 institutions in 1 country.

Doron AmsalemNew York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0002-8056-3211
Andrea Lopez-YianilosNew York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0002-2865-1062
Ari LowellNew York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0003-0811-4558
Alison M PickoverNew York State Psychiatric Institute, Columbia University Irving Medical Center.
Shay ArnonNew York State Psychiatric Institute, Columbia University Irving Medical Center.
Xi ZhuNew York State Psychiatric Institute, Columbia University Irving Medical Center.
Benjamin Suarez-JimenezNew York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0002-4765-2458
Matt RybaDepartment of Psychiatry, Columbia University Irving Medical Center.ORCID 0000-0001-6046-354X
Maja BergmanDepartment of Psychiatry, Columbia University Irving Medical Center.ORCID 0000-0001-9833-5834
Sara SuchDepartment of Psychiatry, Columbia University Irving Medical Center.
Hemrie ZalmanDepartment of Psychiatry, Columbia University Irving Medical Center.
Arturo Sanchez-LacayNew York State Psychiatric Institute, Columbia University Irving Medical Center.
Amit LazarovNew York State Psychiatric Institute, Columbia University Irving Medical Center.ORCID 0000-0002-2811-2739
John C MarkowitzNew York State Psychiatric Institute, Columbia University Irving Medical Center.
Yuval NeriaNew York State Psychiatric Institute, Columbia University Irving Medical Center.
Columbia University · USColumbia University Irving Medical Center · US

Funding

Using novel virtual reality tasks to identify neural mechanisms of discrimination learning in PTSDR01MH131532 · NIMH · UNIVERSITY OF ROCHESTER · PI Benjamin Suarez-Jimenez · 2023 to 2026
$2.7M
Neural Correlates of Location-Specific Contextual Threat Discrimination in Post-Traumatic Stress Disorders REV1K01MH118428 · NIMH · UNIVERSITY OF ROCHESTER · PI SUAREZ-JIMENEZ, BENJAMIN · 2018 to 2022
$807k
Identification of Distinct Multimodal Biotypes of PTSD Using Data Driven Approach: A Multisite Big Data StudyK01MH122774 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI ZHU, XI · 2021 to 2024
$705k
NIMH NIH HHS K01 MH118428NIMH NIH HHS K01 MH122774NIMH NIH HHS R01 MH131532
6 · The paper itself

Abstract

backgroundPsychotherapy noncompletion rates for veterans and their families are high. This study sought to (a) measure noncompletion rates of such patients at a university-based treatment center, (b) compare veteran and family member attrition rates, (c) identify dropout predictors, and (d) explore clinicians' perspectives on treatment noncompletion.

methodUsing quantitative and qualitative approaches, we analyzed demographic and clinical characteristics of 141 patients (90 military veterans; 51 family members) in a university treatment center. We defined dropout as not completing the time-limited therapy contract. Reviewing semistructured interview data assessing clinicians' perspectives on their patients' dropout, three independent raters agreed on key themes, with interrater coefficient kappa range .74 to 1.

resultsPatient attrition was 24%, not differing significantly between veterans and family members. Diagnosis of major depression (MDD) and exposure-based therapies predicted noncompletion, as did higher baseline Hamilton Depression Rating Scale (HDRS) total scores, severe depression (HDRS > 20), lack of Beck Depression Inventory weekly improvement, and history of military sexual trauma. Clinicians mostly attributed noncompletion to patient difficulties coping with intense emotions, especially in exposure-based therapies.

conclusionNoncompletion rate at this study appeared relatively low compared to other veteran-based treatment centers, if still unfortunately substantial. Patients with comorbid MDD/PTSD and exposure-based therapies carried greater noncompletion risk due to the MDD component, and this should be considered in treatment planning. Ongoing discussion of dissatisfaction and patient discontinuation, in the context of a strong therapeutic alliance, might reduce noncompletion in this at-risk population. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Indexed as

Implosive TherapyMajor Depressive DisorderMilitary PersonnelStress Disorders, Post-TraumaticVeteransHumans

Identifiers

PMID34582228
PMCPMC8924016
OpenAlexW3200882078

What OpenQuestion holds

Textmetadata
LicenceTDM
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.