Cognitive Processing Therapy (CPT) and Prolonged Exposure (PE) are first-line treatments for posttraumatic stress disorder (PTSD). There have been few direct comparisons of CPT and PE intended to determine their comparative effectiveness, none of which have examined outcomes among military veterans receiving these treatments in a residential setting such as the Department of Veterans Affairs (VA) residential rehabilitation treatment programs (RRTPs). Such work is essential given that these veterans are among the most complex and severely symptomatic patients with PTSD treated in VA. In this study we compared changes in PTSD and depressive symptoms across admission, discharge, four months and 12 months following discharge among veterans who received CPT or PE within VA RRTPs.

Using linear mixed models conducted on program evaluation data derived from the electronic medical record and follow-up surveys, we compared self-reported PTSD and depressive symptom outcomes among 1130 veterans with PTSD who were treated with individual CPT (n = 832, 73.5%) or PE (n = 297, 26.5%) in VA PTSD RRTPs in fiscal years 2018–2020.

PTSD and depressive symptom severity did not significantly differ at any time points. The CPT and PE groups both showed large-sized reductions in PTSD (CPT d = 1.41, PE d = 1.51) and depression (CPT d = 1.01, PE d = 1.09) from baseline to 12-month follow-up.

Outcomes for PE and CPT do not differ among a highly complex population of veterans with severe PTSD and several comorbid conditions that can make it difficult to engage in treatment.

Considerable heterogeneity exists in treatment response to first-line posttraumatic stress disorder (PTSD) treatments, such as Cognitive Processing Therapy (CPT). Relatively little is known about the timing of when during a course of care the treatment response becomes apparent. Novel machine learning methods, especially continuously updating prediction models, have the potential to address these gaps in our understanding of response and optimize PTSD treatment.

Using data from a 3-week (n = 362) CPT-based intensive PTSD treatment program (ITP), we explored three methods for generating continuously updating prediction models to predict endpoint PTSD severity. These included Mixed Effects Bayesian Additive Regression Trees (MixedBART), Mixed Effects Random Forest (MERF) machine learning models, and Linear Mixed Effects models (LMM). Models used baseline and self-reported PTSD symptom severity data collected every other day during treatment. We then validated our findings by examining model performances in a separate, equally established, 2-week CPT-based ITP (n = 108).

Results across approaches were very similar and indicated modest prediction accuracy at baseline (R2 ~ 0.18), with increasing accuracy of predictions of final PTSD severity across program timepoints (e.g. mid-program R2 ~ 0.62). Similar findings were obtained when the models were applied to the 2-week ITP. Neither the MERF nor the MixedBART machine learning approach outperformed LMM prediction, though benefits of each may differ based on the application.

Utilizing continuously updating models in PTSD treatments may be beneficial for clinicians in determining whether an individual is responding, and when this determination can be made.

Eating disorders (EDs) and posttraumatic stress disorder (PTSD) frequently co-occur and can share a functional relationship. The primary aim of this initial randomized controlled trial was to determine whether integrated cognitive-behavioral therapy (CBT) for co-occurring ED-PTSD was superior to standard CBT for ED in improving PTSD symptoms. Intervention safety and desirability, as well as the relative efficacy of the treatments in improving anxiety, depression, and ED symptomatology, were also examined.

Following a course of intensive ED treatment, individuals with ED-PTSD were recruited to participate and randomized to integrated CBT for ED-PTSD or standard CBT for ED. The sample consisted of 42 individuals with a range of ED diagnoses. Outcomes were assessed at end-of-treatment, 3-, and 6-month follow-up using interview and self-report measures.

Mixed models revealed significant interactions of time and therapy condition on clinician-rated and self-reported PTSD symptom severity favoring Integrated CBT for ED-PTSD. Both treatments were associated with statistically significant improvements in PTSD, anxiety, and depression. Improvements were maintained at 3- and 6-month follow-up. There was good safety with both interventions, and satisfaction with both treatments was high. However, there was a stronger preference for integrated treatment.

Integrating CBTs for PTSD and ED following intensive ED treatment is safe, desirable, and efficacious for improving PTSD symptoms. Future studies with larger sample sizes are needed to determine whether Integrated CBT for ED-PTSD provides benefits over standard CBT for ED with respect to ED outcomes.

While evidence-based psychotherapy (EBP) for posttraumatic stress disorder (PTSD) is a first-line treatment, its real-world effectiveness is unknown. We compared cognitive processing therapy (CPT) and prolonged exposure (PE) each to an individual psychotherapy comparator group, and CPT to PE in a large national healthcare system.

We utilized effectiveness and comparative effectiveness emulated trials using retrospective cohort data from electronic medical records. Participants were veterans with PTSD initiating mental healthcare (N = 265 566). The primary outcome was PTSD symptoms measured by the PTSD Checklist (PCL) at baseline and 24-week follow-up. Emulated trials were comprised of ‘person-trials,’ representing 112 discrete 24-week periods of care (10/07–6/17) for each patient. Treatment group comparisons were made with generalized linear models, utilizing propensity score matching and inverse probability weights to account for confounding, selection, and non-adherence bias.

There were 636 CPT person-trials matched to 636 non-EBP person-trials. Completing ⩾8 CPT sessions was associated with a 6.4-point greater improvement on the PCL (95% CI 3.1–10.0). There were 272 PE person-trials matched to 272 non-EBP person-trials. Completing ⩾8 PE sessions was associated with a 9.7-point greater improvement on the PCL (95% CI 5.4–13.8). There were 232 PE person-trials matched to 232 CPT person-trials. Those completing ⩾8 PE sessions had slightly greater, but not statistically significant, improvement on the PCL (8.3-points; 95% CI 5.9–10.6) than those completing ⩾8 CPT sessions (7.0-points; 95% CI 5.5–8.5).

PTSD symptom improvement was similar and modest for both EBPs. Although EBPs are helpful, research to further improve PTSD care is critical.

Cognitive processing therapy (CPT) is an effective treatment for posttraumatic stress disorder (PTSD), including for veterans with military sexual trauma (MST)-related PTSD. Most CPT research to date has focused on pre- to post-treatment change in total PTSD symptoms; however, PTSD symptom criteria may not change equivalently over the course of treatment. For example, changes in re-experiencing symptoms have been shown to precede changes in other PTSD criteria during other PTSD treatments (i.e. virtual reality exposure therapy, venlafaxine ER). An improved understanding of the mechanism of change in PTSD symptoms during CPT may assist in optimizing treatment.

The purpose of this study was to identify the pattern and temporal precedence of change in PTSD symptom criteria during and after CPT using cross-lagged panel analyses.

Data from veterans (n = 32) enrolled in a randomized clinical trial investigating the effectiveness of CPT for MST-related PTSD were utilized for this secondary analysis. Using hierarchical linear modelling, each symptom criterion was entered as a predictor of subsequent change in the other PTSD symptom criteria.

All symptom criteria followed a logarithmic pattern of change. Hyperarousal symptoms were found to both predict and temporally precede change in avoidance symptoms, but not re-experiencing symptoms. Re-experiencing and avoidance symptoms did not predict change in other PTSD symptom criteria.

These findings provide initial support that targeting and reducing hyperarousal symptoms may be a key component of PTSD intervention with CPT. Additional research is needed to identify factors that predict change in PTSD-related re-experiencing symptoms.

Prolonged conflict and economic instability challenge the existing support networks in families and society places significant stress on both adults and adolescents. Exploring individual, family and social factors that increase the likelihood of or protect adolescents from negative outcomes are important to the development of evidence-based prevention and response programing in global settings.

Examine the relationship between parent mental health and experience/perpetration of intimate partner violence (IPV) and adolescent behaviors, stigma, and school attendance. The relationship is further examined for differences by gender.

Secondary analysis of data from an ongoing comparative effectiveness trial of a productive asset transfer program in eastern Democratic Republic of Congo (DRC).

Three hundred and eighty-eight adolescent and parent dyads were included in the analysis. The analysis demonstrated that parent mental health and IPV can have a negative impact their children's well-being and the impact is different for boys and girls, likely linked to gender roles and responsibilities in the home and community. Social relationships of adolescents, as reported through experienced stigma, were negatively impacted for both boys and girls. Parent report of symptoms of PTSD and depression had a stronger negative effect on girls’ outcomes, including experienced stigma, externalizing behaviors, and missed days of school than boys. For adolescent boys, their parent's report of IPV victimization/perpetration was associated with more negative behaviors at the 8-month follow-up assessment.

The findings reinforce the critical importance of interventions that engage parents and their children in activities that advance health and improve relationships within the family.