Delivering Transdiagnostic Treatment Over Telehealth During the COVID-19 Pandemic: Application of the Unified Protocol

Mapping PTSD, depression, and anxiety: A network analysis of co-occurring symptoms in treatment-seeking first responders

First responders are at high risk for a range of co-occurring mental health conditions due to their repeated exposure to traumatic events. When first responders present for treatment, their complex presentation of symptoms including posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder (GAD) can prove challenging to differentiate for clinical purposes. Network analysis provides a means to identify the nuanced associations between the symptoms of these conditions and to identify groups of related symptoms. In this study, a treatment-seeking sample of first responders (N = 432) completed self-report measures of PTSD, depression, and GAD. Network analysis was used to identify symptom clusters within the sample. Our cross-sectional data yielded six empirically distinct communities: depression symptoms, GAD symptoms, and four communities comprising PTSD symptoms - intrusion and avoidance; irritability and aggression; negative affect; and arousal and sleep. Network associations underscore the heterogeneity of PTSD and also highlight overlapping and diverging symptoms of depression and GAD. These findings are discussed within the context of existing research on first responders, and recommendations for further study and treatment interventions are provided.

Resilience, Coping, and the Covid-19 Pandemic Across the Globe - an Update: What Have we Learned?

The SARS-CoV-2 (COVID-19) pandemic is a mass traumatic event that has universally and indiscriminately negatively affected the world. The adverse consequences of the pandemic have globally impacted psychological health and well-being via increased stressors, such as uncertainty, health anxieties, and financial instability. During the initial months of the pandemic, we (Polizzi et al., 2020) identified coping strategies that may be well-suited to address the sequelae of the pandemic. These strategies included behavioral activation, acceptance-based coping, mindfulness practice, and loving-kindness meditation. We argued that these coping skills may foster resilience and recovery during the pandemic by generating a sense of social connection, encouraging meaning-making, and enhancing feelings of control amid uncertainty. Three years later, we update our initial suggestions by providing a narrative review that considers empirical evidence collected during the pandemic to support the utility of the previously identified coping strategies as well as additional strategies. We also discuss cross-cultural similarities and differences among these strategies and how research supports their application across diverse countries and groups. Finally, we conclude by synthesizing the literature within a regulatory flexibility framework that emphasizes flexible skill implementation with respect to sensitivity to context, coping repertoires, and feedback from the environment.

Validation of the PCL-5, PHQ-9, and GAD-7 in a Sample of Veterans

OBJECTIVE

Veterans can present at nongovernment (Department of Defense, Department of Veterans Affairs) mental health agencies with complex symptom constellations that frequently include posttraumatic stress disorder, depression, and generalized anxiety. To date, no veteran study has validated these measures on a treatment-seeking sample of veterans outside the DoD and VA.

METHODS

We used a treatment-seeking sample of veterans ( N = 493) to validate measures that assess these constructs (PTSD Checklist 5, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7).

RESULTS

The seven-factor posttraumatic stress disorder hybrid configuration was the best fit. The best fitting model of the depression measure was a two-factor structure, cognitive-affective, and somatic depression. The measure of generalized anxiety was a unidimensional model.

LIMITATIONS

Follow-up studies should validate these measures on nontreatment-seeking discharged veterans.

CONCLUSIONS

We interpret these findings within the veteran scholarship and explore clinical implications for providers.

Transdiagnostic considerations of mental health for the post-COVID era: Lessons from the first surge of the pandemic

BACKGROUND

The Coronavirus disease 19 (COVID-19)-related psychiatric burden partly results from prolonged social stress world-wide. Studies have examined the psychiatric impact of COVID-19 on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM 5) and International Classification of Diseases 11^th Revision (ICD-11) categories, implicating multiple diagnoses, complicating clinical management.

AIM

To verify whether COVID-19-related psychopathology spans multiple DSM-5 and ICD-11 diagnoses, but not in a random pattern. Consequently, empirical analysis of the multiple associated symptoms will better describe COVID-19-related psychopathology.

METHODS

We conducted a bi-national study during the first surge of the pandemic: an Italian sample (n = 21217, studied March-April 2020); and three representative longitudinal samples from Israel (n = 1276, 1189, and 1432 respectively, studied May-July 2020). Data in Italy were collected by a national internet-based survey with an initially approached sample of about one million persons and in Israel by the Israeli Central Bureau of Statistics using probability-based national representative sampling. Data analysis focused on the frequency and patterns of reported multiple mental health symptoms.

RESULTS

Combinations with all symptoms were more prevalent than combinations with fewer symptoms, with no majorities-minorities differences in both countries, demonstrating the generalizability of the transdiagnostic pattern of mental health issues in both nations. A history of previous mental disorder (Italian study) and an increase in symptom prevalence over time (Israel study) were associated with an increased number of symptoms. Conclusions: Based on finding correlated symptom diversity spanning conventional diagnostic categories, we suggest that the pattern of mental health issues associated with the COVID-19 pandemic is transdiagnostic.

CONCLUSION

The findings have implications for improving prevention and treatment of COVID-19 related psychopathology and for post-pandemic times in conditions resulting from multiplicity of stressors with mixed symptomatology in the clinical picture.

Network analysis of distress, suicidality, and resilience in a treatment seeking sample of first responders

INTRODUCTION

First responders are routinely and regularly exposed to traumatic events that can clinically manifest with a symptom constellation of posttraumatic stress disorder (PTSD), generalized anxiety, depression, and suicidality.

METHODS

We used network analysis to examine baseline data from treatment seeking first responders (n = 308) to examine the interrelatedness of those constructs, including a measure of resilience. We estimated two models: a regularized partial correlation network and a Bayesian Directed Acyclic Graph (DAG).

RESULTS

The models reveal converging evidence highlighting the central role of negative alterations in cognitions and mood PTSD cluster along with affective depression. These nodes did not significantly differ, though they were among the strongest in the partial correlation network and shared the most variance with the other nodes. The DAG results suggested that the negative alterations in cognitions and mood PTSD cluster predicted downstream constructs of affective depression; intrusion, hyperarousal, and avoidance PTSD clusters; and resilience. Only resilience and affective depression exhibited direct effects on suicidality. Both somatic depression and suicidality were endogenous endpoints in the DAG. Resilience exhibited an inverse path to suicide. However, resilience was relatively independent of the other constructs in the models and the DAG suggested that it was a consequence of PTSD related distress.

LIMITATIONS

The data is cross-sectional in nature that should be followed up in longitudinal studies.

CONCLUSION

Findings are discussed in respect to the role of distress and emotional dysregulation as common factors underlying a broad range of internalizing problems.

Remote mental health care interventions during the COVID-19 pandemic: An umbrella review

Mitigating the COVID-19 related disruptions in mental health care services is crucial in a time of increased mental health disorders. Numerous reviews have been conducted on the process of implementing technology-based mental health care during the pandemic. The research question of this umbrella review was to examine what the impact of COVID-19 was on access and delivery of mental health services and how mental health services have changed during the pandemic. A systematic search for systematic reviews and meta-analyses was conducted up to August 12, 2022, and 38 systematic reviews were identified. Main disruptions during COVID-19 were reduced access to outpatient mental health care and reduced admissions and earlier discharge from inpatient care. In response, synchronous telemental health tools such as videoconferencing were used to provide remote care similar to pre-COVID care, and to a lesser extent asynchronous virtual mental health tools such as apps. Implementation of synchronous tools were facilitated by time-efficiency and flexibility during the pandemic but there was a lack of accessibility for specific vulnerable populations. Main barriers among practitioners and patients to use digital mental health tools were poor technological literacy, particularly when preexisting inequalities existed, and beliefs about reduced therapeutic alliance particularly in case of severe mental disorders. Absence of organizational support for technological implementation of digital mental health interventions due to inadequate IT infrastructure, lack of funding, as well as lack of privacy and safety, challenged implementation during COVID-19. Reviews were of low to moderate quality, covered heterogeneously designed primary studies and lacked findings of implementation in low- and middle-income countries. These gaps in the evidence were particularly prevalent in studies conducted early in the pandemic. This umbrella review shows that during the COVID-19 pandemic, practitioners and mental health care institutions mainly used synchronous telemental health tools, and to a lesser degree asynchronous tools to enable continued access to mental health care for patients. Numerous barriers to these tools were identified, and call for further improvements. In addition, more high quality research into comparative effectiveness and working mechanisms may improve scalability of mental health care in general and in future infectious disease outbreaks.

Application of unified protocol as a transdiagnostic treatment for emotional disorders during COVID-19: An internet-delivered randomized controlled trial

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has been an emotionally challenging time, especially for young adults. It is associated with a substantial increase in the prevalence of mental health problems, negative symptoms, and stressful experiences that compromise well-being. In low-income countries, internet-delivered psychological services could have a remarkable impact on the population’s mental health, given the lack of mental health professionals.

AIM

To investigate the efficacy of internet-delivered cognitive-behavior therapy (CBT)-transdiagnostic intervention for adults with emotional disorders.

METHODS

In this internet-delivered randomized controlled trial, 102 students with an emotional disorder (mean age = 28.20 years, standard deviation = 5.07) were randomly allocated to receive unified protocol (UP) (n = 51) or treatment as the usual intervention. Following a semi-structured clinical interview, participants completed an online survey including the Overall Anxiety Severity and Impairment Scale, Overall Depression Severity and Impairment Scale, Difficulties in Emotion Regulation Scale, Positive and Negative Affect Schedule, and Emotional Style Questionnaire.

RESULTS

The participants showed a high degree of adherence. In total, 78% (n = 40) of the experimental group participants completed the UP treatment. Considering the intention to treat procedure, the results of the analysis of covariance indicated that participants who received UP showed statistically significant changes in depression symptoms [Cohen’s d = -1.50 with 95% confidence interval (CI): -1.90 to -1.10], anxiety (Cohen’s d = -1.06 with 95%CI: -1.48 to -0.65), difficulties with emotion regulation (Cohen’s d = -0.33 with 95%CI: -0.7 to -0.06), positive affect (Cohen's d = 1.27 with 95%CI: 0.85 to 1.68), negative affect (Cohen’s d= -1.04 with 95%CI: -1.46 to -0.63), and healthy emotionality (Cohen’s d = 0.53 with 95%CI: 0.09 to 0.13) compared with the control group.

CONCLUSION

This study’s findings highlight the potential value of transdiagnostic internet-delivered programs for young adults with an emotional disorder during the COVID-19 pandemic, and expand the research examining emotional well-being improvements resulting from CBT-transdiagnostic interventions. The findings suggest that UP, which generally concentrates on reducing negative effects, can increase positive effects.

The Impact of COVID-19 Related Social Distancing on Mental Health Outcomes: A Transdiagnostic Account

The COVID-19 pandemic, and the social distancing practices that followed, have been associated with increased prevalence of emotional disorders. However, not all individuals affected by COVID-19-related social distancing experienced elevations in emotional disorder symptoms. Understanding this phenomenon is of crucial public health significance given the burden of emotional disorders on individuals and systems. In this narrative review, we consider the differential impact of COVID-19-related social distancing on mental health outcomes from a transdiagnostic perspective. We argue that individuals high in negative affect and aversive reactivity to emotion, that is, neuroticism, and who respond to such emotional experiences with emotion-motivated avoidant coping, are most likely to experience emotional disorders in the context of COVID-19 social distancing. We acknowledge the pro-social and adaptive function of some types of avoidance during the pandemic, which may have initially buffered against negative mental health outcomes. Implications of this conceptualization for treatment of emotional disorders in the present sociocultural context are discussed.