A Randomized Clinical Trial of Clinician-Supported PTSD Coach in VA Primary Care Patients.

BACKGROUND: Posttraumatic stress disorder (PTSD) is common in primary care patients; however, evidence-based treatments are typically only available in specialty mental healthcare settings and often not accessed. OBJECTIVE: To test the effectiveness of a brief primary care-based treatment, Clinician-Supported PTSD Coach (CS PTSD Coach) was compared with Primary Care Mental Health Integration-Treatment as Usual (PCMHI-TAU) in (1) reducing PTSD severity, (2) engaging veterans in specialty mental health care, and (3) patient satisfaction with care. DESIGN: Multi-site randomized pragmatic clinical trial. PARTICIPANTS: A total of 234 veterans with PTSD symptoms who were not currently accessing PTSD treatment. INTERVENTION: CS PTSD Coach was designed to be implemented in Veterans Affairs PCMHI and combines mental health clinician support with the "PTSD Coach" mobile app. Four 30-min sessions encourage daily use of symptom management strategies. MAIN MEASURES: PTSD severity was measured by clinician-rated interviews pre- and post-treatment (8 weeks). Self-report measures assessed PTSD, depression, and quality of life at pretreatment, posttreatment, and 16- and 24-week follow-ups, and patient satisfaction at post-treatment. Mental healthcare utilization was extracted from medical records. KEY RESULTS: Clinician-rated PTSD severity did not differ by condition at post-treatment. CS PTSD Coach participants improved more on patient-reported PTSD severity at post-treatment than TAU participants (D = .28, p = .021). Coach participants who continued to have problematic PTSD symptoms at post-treatment were not more likely to engage in 2 sessions of specialty mental health treatment than TAU participants. Coach participants engaged in 74% more sessions in the intervention and reported higher treatment satisfaction than TAU participants (p < .001). CONCLUSIONS: A structured 4-session intervention designed to align with patient preferences for care resulted in more patient-reported PTSD symptom relief, greater utilization of mental health treatment, and overall treatment satisfaction than TAU, but not more clinician-rated PTSD symptom relief or engagement in specialty mental health.

Effectiveness of a social robot, "Paro," in a VA long-term care setting.

Interest in animal assisted interventions (AAI) has grown over the years, but acceptance of AAI by the clinical and research community has been hampered by safety, hygiene, and logistical concerns. Advances in the field of social robotics have provided a promising route to deliver AAI while avoiding these aforementioned obstacles. Although there has been promising initial research on social robotics in older adults, to date there has been no such research conducted with a veteran population. The present pilot study followed 23 veteran residents of a Veterans Affairs (VA) geropsychiatric long-term care facility over the span of approximately a year and a half. It was found that use of Paro, a social robot, resulted in increased observed positive affective and behavioral indicators, with concomitant decreases observed in negative affective and behavioral indicators. The authors concluded that Paro is likely an effective nonpharmacological approach for managing dementia-related mood and behavior problems with veterans in VA long term care facilities. They additionally observed that Paro is best presented to residents who are relatively calm and approachable, as opposed to actively exhibiting behavior or mood problems. Future research directions are discussed in light of both the positive results noted and the inherent limitations of our pilot study. (PsycINFO Database Record

Monitoring mental health treatment acceptance and initial treatment adherence in veterans: veterans of Operations Enduring Freedom and Iraqi Freedom versus other veterans of other eras.

Identifying factors that influence mental health outcomes in veterans can aid in the redesign of programs to maximize the likelihood of early resolution of problems. To that end, we examined demographic and clinical process data from 2,684 veterans who scored positive on a mental health screen. We investigated this data set for patterns and possible predictors of mental health referral acceptance and attendance. The majority of patients had not received mental health treatment within the last two years (76%). Veterans of Operations Enduring Freedom and Iraqi Freedom (OEF/OIF) were more likely to accept a mental health referral for depression but were equally likely to attend a mental health visit as other era veterans. Decreased acceptance was associated with provider type and contact method, clinic location, depression only, and specific age ranges (65-74). Among those who accepted a referral, decreased attendance was associated with clinic location, depression only, and retirement. No variables predicted OEF/OIF acceptance/attendance. In conclusion, our findings illustrate the importance of close, continual monitoring of clinical process data to help reveal targets for improving mental health care for veterans.

Identifying the variables impacting post-burn psychological adjustment: a meta-analysis.

OBJECTIVE: The purpose of this study was to identify and evaluate variables that have the greatest impact on psychological adjustment after burn injury among children, adolescents, and young adults. METHODS: Meta-analytical procedures were utilized to determine the strength of association indices of identified impact variables. Only 13 articles were utilized due to the scarcity of and statistical limitations of the research. RESULTS: The body location variable (.26) had the greatest mean strength of association in relation to psychological adjustment. The burn injury variable (.21) had the second greatest mean strength of association. Finally, both the parental adjustment variable and the child premorbid psychological functioning variable (.15) had the third greatest mean strength of association. CONCLUSIONS: A major implication of this research is that the impact variables identified will be useful in targeting burn patients who are at risk for psychological adjustment problems.