BACKGROUND: Psychotherapy 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. METHOD: Using 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. RESULTS: Patient 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. CONCLUSION: Noncompletion 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).
BACKGROUND: Psychotherapy 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. METHOD: Using 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. RESULTS: Patient 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. CONCLUSION: Noncompletion 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).
Authors: Danielle S Berke; Nora K Kline; Jennifer Schuster Wachen; Carmen P McLean; Jeffrey S Yarvis; Jim Mintz; Stacey Young-McCaughan; Alan L Peterson; Edna Foa; Patricia A Resick; Brett T Litz Journal: Behav Res Ther Date: 2019-03-08
Authors: Frank W Weathers; Michelle J Bovin; Daniel J Lee; Denise M Sloan; Paula P Schnurr; Danny G Kaloupek; Terence M Keane; Brian P Marx Journal: Psychol Assess Date: 2017-05-11
Authors: John C Markowitz; Kevin B Meehan; Eva Petkova; Yihong Zhao; Page E Van Meter; Yuval Neria; Hayley Pessin; Yasmin Nazia Journal: J Clin Psychiatry Date: 2016-03 Impact factor: 4.384
Authors: Cecília R Proença; John C Markowitz; Bruno M Coimbra; Hugo Cogo-Moreira; Mariana R Maciel; Andrea F Mello; Marcelo F Mello Journal: Eur J Psychotraumatol Date: 2022-10-14