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

BACKGROUND: Despite 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 dr...

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Autores principales: Youn, Soo-jeong, Mackintosh, Margaret-Anne, Wiltsey Stirman, Shannon, Patrick, Kaylie A, Aguilar Silvan, Yesenia, Bartuska, Anna D, Shtasel, Derri L, Marques, Luana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936970/
https://www.ncbi.nlm.nih.gov/pubmed/31922091
http://dx.doi.org/10.1136/gpsych-2019-100153
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author Youn, Soo-jeong
Mackintosh, Margaret-Anne
Wiltsey Stirman, Shannon
Patrick, Kaylie A
Aguilar Silvan, Yesenia
Bartuska, Anna D
Shtasel, Derri L
Marques, Luana
author_facet Youn, Soo-jeong
Mackintosh, Margaret-Anne
Wiltsey Stirman, Shannon
Patrick, Kaylie A
Aguilar Silvan, Yesenia
Bartuska, Anna D
Shtasel, Derri L
Marques, Luana
author_sort Youn, Soo-jeong
collection PubMed
description BACKGROUND: Despite 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. AIM: The 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. METHOD: Secondary 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. RESULTS: Results 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, p=0.003), and also less likely to attend treatment frequently (r=0.62, p=0.009) and consistently (r =0.57, p=0.027) if high logistical and financial barriers were endorsed. Irrespective of language, clients who reported high quality of life at baseline were less likely to repeat CPT session content (β=−0.3, p=0.04), and those with increased baseline barriers to treatment had deceleration in PTSD symptom improvement over time (β=−0.62, p<0.05). In terms of treatment engagement moderators impacting treatment outcome, clients who repeated more session content were more likely to complete treatment (OR=1.84, p=0.037). CONCLUSION: Identification of client-level predictors of treatment engagement, outcome and dropout is essential to optimise treatment, particularly in community settings.
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spelling pubmed-69369702020-01-09 Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics Youn, Soo-jeong Mackintosh, Margaret-Anne Wiltsey Stirman, Shannon Patrick, Kaylie A Aguilar Silvan, Yesenia Bartuska, Anna D Shtasel, Derri L Marques, Luana Gen Psychiatr Original Research BACKGROUND: Despite 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. AIM: The 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. METHOD: Secondary 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. RESULTS: Results 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, p=0.003), and also less likely to attend treatment frequently (r=0.62, p=0.009) and consistently (r =0.57, p=0.027) if high logistical and financial barriers were endorsed. Irrespective of language, clients who reported high quality of life at baseline were less likely to repeat CPT session content (β=−0.3, p=0.04), and those with increased baseline barriers to treatment had deceleration in PTSD symptom improvement over time (β=−0.62, p<0.05). In terms of treatment engagement moderators impacting treatment outcome, clients who repeated more session content were more likely to complete treatment (OR=1.84, p=0.037). CONCLUSION: Identification of client-level predictors of treatment engagement, outcome and dropout is essential to optimise treatment, particularly in community settings. BMJ Publishing Group 2019-12-10 /pmc/articles/PMC6936970/ /pubmed/31922091 http://dx.doi.org/10.1136/gpsych-2019-100153 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Youn, Soo-jeong
Mackintosh, Margaret-Anne
Wiltsey Stirman, Shannon
Patrick, Kaylie A
Aguilar Silvan, Yesenia
Bartuska, Anna D
Shtasel, Derri L
Marques, Luana
Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
title Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
title_full Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
title_fullStr Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
title_full_unstemmed Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
title_short Client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
title_sort client-level predictors of treatment engagement, outcome and dropout: moving beyond demographics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936970/
https://www.ncbi.nlm.nih.gov/pubmed/31922091
http://dx.doi.org/10.1136/gpsych-2019-100153
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