Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study.

BACKGROUND: Staffing and resource shortages, especially during the COVID-19 pandemic, have increased stress levels among health care workers. Many health care workers have reported feeling unable to maintain the quality of care expected within their profession, which, at times, may lead to moral distress and moral injury. Currently, interventions for moral distress and moral injury are limited. OBJECTIVE: This study has the following aims: (1) to characterize and reduce stress and moral distress related to decision-making in morally complex situations using a virtual reality (VR) scenario and a didactic intervention; (2) to identify features contributing to mental health outcomes using wearable, physiological, and self-reported questionnaire data; and (3) to create a personal digital phenotype profile that characterizes stress and moral distress at the individual level. METHODS: This will be a single cohort, pre- and posttest study of 100 nursing professionals in Ontario, Canada. Participants will undergo a VR simulation that requires them to make morally complex decisions related to patient care, which will be administered before and after an educational video on techniques to mitigate distress. During the VR session, participants will complete questionnaires measuring their distress and moral distress, and physiological data (electrocardiogram, electrodermal activity, plethysmography, and respiration) will be collected to assess their stress response. In a subsequent 12-week follow-up period, participants will complete regular assessments measuring clinical outcomes, including distress, moral distress, anxiety, depression, and loneliness. A wearable device will also be used to collect continuous data for 2 weeks before, throughout, and for 12 weeks after the VR session. A pre-post comparison will be conducted to analyze the effects of the VR intervention, and machine learning will be used to create a personal digital phenotype profile for each participant using the physiological, wearable, and self-reported data. Finally, thematic analysis of post-VR debriefing sessions and exit interviews will examine reoccurring codes and overarching themes expressed across participants' experiences. RESULTS: The study was funded in 2022 and received research ethics board approval in April 2023. The study is ongoing. CONCLUSIONS: It is expected that the VR scenario will elicit stress and moral distress. Additionally, the didactic intervention is anticipated to improve understanding of and decrease feelings of stress and moral distress. Models of digital phenotypes developed and integrated with wearables could allow for the prediction of risk and the assessment of treatment responses in individuals experiencing moral distress in real-time and naturalistic contexts. This paradigm could also be used in other populations prone to moral distress and injury, such as military and public safety personnel. TRIAL REGISTRATION: ClinicalTrials.gov NCT05923398; https://clinicaltrials.gov/study/NCT05923398. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54180.

Metacognition as a Mediator for Posttraumatic Stress Symptoms Following Childhood Stressful Life Events: An Examination of the Construct Validity of the Metacognitions Questionnaire-Posttraumatic Stress Disorder.

Both cognitive and metacognitive theories implicate posttraumatic metacognition as an important factor in the maintenance of posttraumatic stress symptoms (PTSS) following stressful life events (SLEs). The Metacognitions Questionnaire-posttraumatic stress disorder (MCQ-PTSD; Wells, 2009) was previously developed to assess for metacognitions specific to SLEs and resulting PTSS. This study aimed to examine the construct validity of this measure in the context of childhood SLEs specifically. First, we confirmed the factor structure underlying the MCQ-PTSD in our sample. We then assessed whether the MCQ-PTSD would function as expected based on a theoretical model in which, controlling for posttraumatic cognitions, posttraumatic metacognitions were expected to mediate the relationship between childhood SLEs and PTSS. Using data from a racially diverse sample of undergraduate psychology students (N = 402; Agemean = 19.38 ± 1.81) at a large Midwestern university, the two-factor structure of the MCQ-PTSD was confirmed. Among participants who endorsed clinically significant experience of childhood SLEs (n = 203; Agemean = 19.49 ± 1.94), negative metacognitions mediated the relationships of emotional and sexual abuse with PTSS, when controlling for other posttraumatic cognitions. These relationships were not observed for positive metacognitions. These results are consistent with a metacognitive model for PTSD and suggest that the MCQ-PTSD may be a valid measure of posttraumatic metacognitions following childhood SLEs.

Comparing written exposure therapy delivered via telehealth to trauma-focused expressive writing in undergraduates: A proof-of-concept trial.

The literature demonstrates that posttraumatic stress disorder (PTSD) rates are estimated to be higher on college campuses compared to lifetime estimates in the general population. Written exposure therapy (WET) is a promising brief intervention for posttraumatic stress symptoms (PTSS) with a growing literature of evidence suggesting efficacy, lower drop-out rates compared to other evidence-based protocols, and long-term treatment gains. This proof-of-concept study examined the efficacy of WET delivered via telehealth compared to expressive writing (EW), the protocol from which WET was derived. The sample included non-treatment-seeking trauma-exposed undergraduate students (N = 33) with elevated PTSS. The results suggest that both WET, g = 1.26, and EW, g = 0.61, were associated with within-person decreases in PTSS. However, reliable change indices indicated that a significantly larger proportion of individuals in the WET condition (61.5%) demonstrated reliable symptom improvement compared to those who received EW (20.0%), g = 0.91. Contrary to our hypotheses, the WET and EW groups did not differ on reliable slopes of change; however, between-group effects were underpowered and should be interpreted with caution. These findings offer preliminary support for WET delivered via telehealth, including for individuals with subthreshold PTSS.

An examination of the criterion-related validity of varying methods of indexing clinically significant change in posttraumatic stress disorder treatment.

OBJECTIVE: Clinicians, patients, and researchers need benchmarks to index individual-level clinically significant change (CSC) to guide decision making and inferences about treatment efficacy. Yet, there is no consensus best practice for determining CSC for posttraumatic stress disorder (PTSD) treatments. We examined criterion-related validity of the most common approach-Jacobson and Truax's (J&T; 1991) procedures for indexing CSC. We generated and compared four methods of calculating the J&T indices of CSC (two sets of sample-specific inputs, putatively norm-referenced benchmarks, and a combination of sample-specific and norm-referenced criteria) with respect to their association with a criterion index of quality of life (QoL). METHOD: Participants were 91 women Veterans enrolled in a randomized clinical trial for PTSD who completed self-report measures on PTSD symptoms and various domains of QoL and functioning, pre- and posttreatment. For each of the four methods used to calculate CSC, the QoL composite was regressed onto the CSC categories. RESULTS: All methods explained large variance in change in QoL. Across all methods, participants categorized as unchanged had smaller changes in QoL, compared with those who improved or had probable recovery. The norm-referenced benchmarks accounted for the relatively largest amount of variance in QoL, but categorized the fewest patients as having made CSC. CONCLUSIONS: The J&T methodology for indexing CSC in PTSD symptoms has criterion-related validity, and a norm-referenced benchmark appears to be the most potent. However, the norm-referenced parameters may be overly specific, potentially leading to an underestimate of improvement. Research is needed to test the generalizability of these results. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Expected symptom change trajectories for the early identification of probable treatment nonresponse in VA PTSD specialty care clinics: A proof-of-concept.

The purpose of measurement-based care (MBC) is to detect treatment nonresponse sufficiently early in treatment to adjust treatment plans and prevent failure or dropout. Thus, the potential of MBC is to provide the infrastructure for a flexible, patient-centered approach to evidence-based care. However, MBC is underutilized across the Department of Veterans Affairs (VA) posttraumatic stress disorder (PTSD) specialty clinics, likely because no actionable, empirically determined guidelines for using repeated measurement effectively are currently available to clinicians. With data collected as part of routine care in VA PTSD specialty clinics across the United States in the year prior to COVID-19 (n = 2,182), we conducted a proof-of-concept for a method of generating session-by-session benchmarks of probable patient nonresponse to treatment, which can be visualized alongside individual patient data using the most common measure of PTSD symptoms used in VA specialty clinics, the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (PCL-5). Using survival analysis, we first identified the probability of cases reaching clinically significant change at each session, as well as any significant moderators of treatment response. We then generated a multilevel model with initial symptom burden predicting the trajectory of PCL-5 scores across sessions. Finally, we determined the slowest changing 50% and 60% of all cases to generate benchmarks at each session for each level of the predictor(s) and then assessed the accuracy of these benchmarks at each session for classifying treatment responders and nonresponders. The final models were able to accurately identify nonresponders as early as the sixth session of treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Leveraging available metadata in VA PTSD clinics and generating benchmarks for clinically significant change.

OBJECTIVE: Measurement-based care is designed to track symptom levels during treatment and leverage clinically significant change benchmarks to improve quality and outcomes. Though the Veterans Health Administration promotes monitoring progress within posttraumatic stress disorder (PTSD) clinical teams, actionability of data is diminished by a lack of population-based benchmarks for clinically significant change. We reported the state of repeated measurement within PTSD clinical teams, generated benchmarks, and examined outcomes based on these benchmarks. METHOD: PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition data were culled from the Corporate Data Warehouse from the pre-COVID-19 year for Veterans who received at least eight sessions in 14 weeks (episode of care [EOC] cohort) and those who received sporadic care (modal cohort). We used the Jacobson and Truax (1991) approach to generate clinically significant change benchmarks at clinic, regional, and national levels and calculated the frequency of cases that deteriorated, were unchanged, improved, or probably recovered, using our generated benchmarks and benchmarks from a recent study, for both cohorts. RESULTS: Both the number of repeated measurements and the cases who had multisession care in the Corporate Data Warehouse were very low. Clinically significant change benchmarks were similar across locality levels. The modal cohort had worse outcomes than the EOC cohort. CONCLUSIONS: National benchmarks for clinically significant change could improve the actionability of assessment data for measurement-based care. Benchmarks created using data from Veterans who received multisession care had better outcomes than those receiving sporadic care. Measurement-based care in PTSD clinical teams is hampered by low rates of repeated assessments of outcome. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Mental health service utilization following a campus mass shooting: The role of preshooting emotion dysregulation and posttraumatic cognitions.

OBJECTIVE: This study investigated preshooting emotion dysregulation and posttraumatic cognitions as predictors of mental health service utilization ([MHU]; i.e., therapy/medication) among undergraduate women following a campus mass shooting, controlling for time, age, and postshooting posttraumatic stress (PTS) and depressive symptoms. METHOD: Undergraduate women (N = 483, Mage = 19.23, SD = 2.39) were engaged in a study when a mass shooting occurred on Northern Illinois University's campus. A separate, longitudinal study was then implemented to monitor postshooting adjustment among these same women. The present study examined predictors of MHU using data from the preshooting assessment and the following postshooting timepoints: 9 months (T1; n = 416); 14 months (T2; n = 416); 20 months (T3; n = 417); 26 months (T4; n = 405); and 33 months (T5; n = 397). RESULTS: Multilevel models showed preshooting emotion dysregulation and postshooting PTS and depressive symptoms positively predicted increased likelihood of MHU while controlling for covariates. Posttraumatic cognitions initially predicted increased therapy utilization, but this relationship became nonsignificant after accounting for preshooting emotion dysregulation. Preshooting emotion dysregulation also weakened the positive relationship between depressive symptoms and therapy utilization and strengthened the positive relationship between age and therapy utilization. CONCLUSIONS: Preshooting emotion dysregulation and postshooting mental health symptoms were the most robust predictors of increased MHU following a mass shooting. Findings suggest women exposed to a mass shooting engage in treatment when needed, but preexisting emotion dysregulation may serve as a barrier for those who go on to develop depression. (PsycInfo Database Record (c) 2022 APA, all rights reserved).