Evidence map›Paper›PMID 31922091›Full record

ArticleGeneral psychiatry2019

Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics.

Soo-Jeong Youn, Margaret-Anne Mackintosh, Shannon Wiltsey Stirman, Kaylie A Patrick, Yesenia Aguilar Silvan, Anna D Bartuska, Derri L Shtasel, Luana Marques

Open access · diamondAbstract read
In one paragraph

Article in General psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Soo-Jeong YounDeparment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-7528-5042
Margaret-Anne MackintoshStat Craft, Brentwood, California, USA.
Shannon Wiltsey StirmanDissemination and Training Division, National Center for PTSD, VA Palo Alto Health Care System, Menlo Park, California, USA.
Kaylie A PatrickDeparment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
Yesenia Aguilar SilvanDeparment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
Anna D BartuskaDeparment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
Derri L ShtaselDeparment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
Luana MarquesDeparment of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
Harvard University · USMassachusetts General Hospital · USCraft Engineering Associates (United States) · USVA Palo Alto Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the availability of evidence-based treatments for posttraumatic stress disorder (PTSD), significant heterogeneity in the effectiveness of PTSD treatment persists, especially in community settings. Client demographics used to understand this variability in treatment outcome and dropout have yielded mixed results. Despite increasing evidence for the importance of attending to treatment engagement in community settings, few studies have explored client-level predictors.

aimThe purpose of this study is to explore client-level predictors of treatment outcome and dropout beyond client demographics, and to identify client-level predictors of treatment engagement in community settings.

methodSecondary data analysis was conducted with data collected as part of an implementation-effectiveness hybrid study of cognitive processing therapy (CPT) for PTSD in a diverse community health centre. Providers (n=19) treated (n=52) clients as part of their routine clinical care. Non-demographic client-level predictors included barriers to treatment, quality of life, session-level language and employment history assessed at baseline. Treatment engagement included number of weeks in the study, number of sessions with repeated CPT content, number of unique CPT sessions attended, frequency of session attendance and consistency of session attendance.

resultsResults showed language as a significant predictor of treatment engagement. There were significant differences between Spanish and English-speaking clients, with the former having a tendency to repeat more session content than the latter (β=1.4 sessions,

conclusionIdentification of client-level predictors of treatment engagement, outcome and dropout is essential to optimise treatment, particularly in community settings.

Indexed as

diverse populationsdropoutposttraumatic stress disorderpredictorstreatment engagement

Identifiers

PMID31922091
PMCPMC6936970
OpenAlexW2995060499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.