Anger and predictors of drop-out from PTSD treatment of veterans and first responders.

Hinton, E; Steel, Z; Hilbrink, D; Berle, D

Anger and predictors of drop-out from PTSD treatment of veterans and first responders.

Hinton, E Steel, Z Hilbrink, D Berle, D

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Publisher:: Cambridge University Press (CUP)
Publication Type:: Journal Article
Citation:: Behavioural and cognitive psychotherapy, 2021, pp. 1-15
Issue Date:: 2021-09-27

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Field	Value	Language
dc.contributor.author	Hinton, E
dc.contributor.author	Steel, Z
dc.contributor.author	Hilbrink, D
dc.contributor.author	Berle, D https://orcid.org/0000-0002-4861-2220
dc.date.accessioned	2022-01-23T22:41:55Z
dc.date.available	2022-01-23T22:41:55Z
dc.date.issued	2021-09-27
dc.identifier.citation	Behavioural and cognitive psychotherapy, 2021, pp. 1-15
dc.identifier.issn	1352-4658
dc.identifier.issn	1469-1833
dc.identifier.uri	http://hdl.handle.net/10453/153460
dc.description.abstract	Background: Drop-out is an important barrier in treating post-traumatic stress disorder (PTSD) with consequences that negatively impact clients, clinicians and mental health services as a whole. Anger is a common experience in people with PTSD and is more prevalent in military veterans. To date, no research has examined if anger may predict drop-out in military veterans or first responders. Aims: The present study aimed to determine the variables that predict drop-out among individuals receiving residential treatment for PTSD. Method: Ninety-five military veterans and first responders completed pre-treatment measures of PTSD symptom severity, depression, anxiety, anger, and demographic variables. Logistic regression analyses were used to determine if these variables predicted drop-out from treatment or patterns of attendance. Results: Female gender was predictive of drop-out. However, when analysed by occupation female gender was predictive of drop-out among first responders and younger age was predictive of drop-out in military participants. Anger, depression, anxiety and PTSD symptom severity were not predictive of drop-out in any of the analyses. No variables were found to predict attendance patterns (consistent or inconsistent) or early versus late drop-out from the programme. Conclusion: These results suggest that although anger is a relevant issue for treating PTSD, other factors may be more pertinent to drop-out, particularly in this sample. In contrast with other findings, female gender was predictive of drop-out in this study. This may indicate that in this sample, there are unique characteristics and possible interacting variables that warrant exploration in future research.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Cambridge University Press (CUP)
dc.relation.ispartof	Behavioural and cognitive psychotherapy
dc.relation.isbasedon	10.1017/s1352465821000382
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1701 Psychology, 1702 Cognitive Sciences
dc.subject.classification	Clinical Psychology
dc.title	Anger and predictors of drop-out from PTSD treatment of veterans and first responders.
dc.type	Journal Article
utslib.location.activity	United States
utslib.for	1701 Psychology
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Clinical Psychology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-01-23T22:41:54Z
pubs.publication-status	Published

Abstract:

Background: Drop-out is an important barrier in treating post-traumatic stress disorder (PTSD) with consequences that negatively impact clients, clinicians and mental health services as a whole. Anger is a common experience in people with PTSD and is more prevalent in military veterans. To date, no research has examined if anger may predict drop-out in military veterans or first responders. Aims: The present study aimed to determine the variables that predict drop-out among individuals receiving residential treatment for PTSD. Method: Ninety-five military veterans and first responders completed pre-treatment measures of PTSD symptom severity, depression, anxiety, anger, and demographic variables. Logistic regression analyses were used to determine if these variables predicted drop-out from treatment or patterns of attendance. Results: Female gender was predictive of drop-out. However, when analysed by occupation female gender was predictive of drop-out among first responders and younger age was predictive of drop-out in military participants. Anger, depression, anxiety and PTSD symptom severity were not predictive of drop-out in any of the analyses. No variables were found to predict attendance patterns (consistent or inconsistent) or early versus late drop-out from the programme. Conclusion: These results suggest that although anger is a relevant issue for treating PTSD, other factors may be more pertinent to drop-out, particularly in this sample. In contrast with other findings, female gender was predictive of drop-out in this study. This may indicate that in this sample, there are unique characteristics and possible interacting variables that warrant exploration in future research.

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http://hdl.handle.net/10453/153460