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Introduction:

Idiographic network analysis, where associations between multiple nodes are estimated, can potentially guide choice of interventions in psychological treatment. In this single case experiment using ecological momentary assessment data to estimate continuous time network models, we aimed to test the so-called centrality hypothesis. We did so by comparing effects of interventions guided by the most central node to those guided by the least central node. We used the composite level psychological inflexibility processes lack of openness, lack of awareness, and lack of engagement, alongside an interference outcome, as network nodes. Effects on pain interference, motivation, and pain intensity were examined.

Method:

We employed a multiple baseline design across six participants. Therapists and participants were blinded to participants' treatment conditions. Baseline length and order of treatment phases were randomized.

Results:

Four participants had an overall treatment effect on pain interference, but it was generally not possible to discern that one particular phase was more beneficial than another. For three participants, the picture was somewhat clearer, indicating one of the treatment phases as more beneficial, although the results for these participants were not consistently in line with hypotheses. Retrospectively examining other potential guidance methods for these three participants, we saw a potential in discrete time contemporaneous network models.

Discussion:

Current results are not in line with previous assumptions or research on idiographic network models for treatment personalization, although the previous research in this area is scarce. Future research should investigate alternative network models or estimation choices to determine the potential utility of data driven idiographic networks.

Background: Non-traumatic stress-related illnesses are associated with considerable functional impairment and costs for both individuals and societies. In Sweden, the national diagnose Exhaustion disorder (ED) is one of the most frequently diagnosed disorders in this category. Despite the major negative consequences of illnesses such as ED, there is no clear evidence on successful treatments or effective interventions to enhance return to work outcomes for this population. Therefore, the aim of this study was to explore how individuals who had returned to work after sick leave due to ED experienced the process of returning to work, including facilitating factors, significant challenges and needs of further support.

Methods: Participants were recruited from three clinics in Stockholm specialized in rehabilitation for Exhaustion Disorder. Semi-structured interviews were conducted with 15 participants and the transcribed interviews were analyzed using qualitative content analysis.

Results: The results yielded three themes - Struggling to adapt sustainably to change, Being supported or hindered by the context and Being part of a larger societal system. The first theme revolves around individual processes of change, such as gaining insight in one's own behavior, and rethinking one's perceived identity. The second theme focuses on how practical and emotional support, or lack thereof, affect the experience of returning to work. The third theme addresses hindering or facilitating factors on a more societal level, such as social norms or conditions of the social welfare system.

Conclusions: The results indicate the relevance of further and prolonged support for individuals returning to work after sick leave due to ED. The workplace and overall organization plays an important role in providing this support. In a clinical individual context, the support given may include programs designed to facilitate behavioral maintenance, sustainable psychological flexibility and renegotiation of values. However, further research is needed on how such programs should be best designed and delivered.

Introduction: Idiographic network analysis, assessing associations between a system of variables of interest, also called nodes, is a proposed method for personalizing psychological treatment. The aim of this study was to test the centrality hypothesis that a treatment condition delivering interventions guided by the most central network node will yield better outcomes compared to a treatment condition delivering interventions guided by the least central node. We tested this using perceived causal networks (PECAN) and focusing on psychological inflexibility processes. Effects were examined in terms of pain interference, motivation, and pain intensity.

Method: We used a single case design with multiple baselines across six participants. Therapists were blind to treatment conditions. While participants were not blind to the responses that they provided for creating the PECAN, they were blind to the resulting network and the treatment conditions. Randomization was applied to baseline length and to whether the most central node or the least central node intervention came first.

Results: All participants had at least one outcome changing in beneficial directions in line with hypotheses. However, two participants also had one outcome each that changed in contradiction to the hypotheses.

Discussion: Adapting psychological treatment by matching interventions to the most central node in a perceived causal network looks promising. However, it is unlikely that this method will always be the best matching method. We need to keep exploring additional personalization methods and under which circumstances they are efficient.

Introduction Chronic stress-related conditions such as burnout and exhaustion disorder (ED) constitute a significant and growing individual and societal burden. Still, the long-term interactions between symptoms and key risk factors, including brain structure and function, remain poorly understood. To address this knowledge gap, we initiated the PROMUS project, a large-scale longitudinal brain imaging study of 350 participants on sick leave for ED in Sweden.Methods Here, we report baseline cohort (n=300) characteristics and cross-sectional associations between symptom severity, primarily measured using the Shirom-Melamed Burnout Questionnaire (SMBQ), and demographic, occupational, psychiatric, psychological, and lifestyle factors assessed using online questionnaires.Results Our findings revealed significant associations between symptom severity and multiple factors, most notably depression, anxiety, sleep disturbances, quality of life, dissociation, psychological inflexibility, intolerance of uncertainty, self-efficacy, alexithymia, trauma, gratitude, educational background, emotional stability, household demands, Attention Deficit/Hyperactivity Disorder symptoms, autistic traits, perfectionism, and physical activity.Discussion These findings support previous research linking persistent stress conditions to a spectrum of demographic, occupational, psychiatric, psychological, and lifestyle measures. The results also add to the understanding of targetable ED symptoms and risk factors and set the direction for brain imaging analyses and longitudinal assessments in this cohort.

Background

Stress-induced Exhaustion Disorder (ED) is associated with work absenteeism and adverse health outcomes. Currently, little is known regarding how the symptoms of ED are interrelated and whether the patterns of symptoms influence treatment outcomes. To this end, the current study applied network analyses on ED patients participating in a multimodal intervention.

Methods

The first aim of the study was to explore the internal relationships between exhaustion symptoms and identify symptoms that were more closely related than others. A second aim was to examine whether the baseline symptom network of non-responders to treatment was more closely connected than the baseline symptom networks of responders, by comparing the sum of all absolute partial correlations in the respective groups’ symptom network. This comparison was made based on the hypothesis that a more closely connected symptom network before treatment could indicate poorer treatment outcomes. Network models were constructed based on self-rated ED symptoms in a large sample of patients (n = 915) participating in a 24-week multimodal treatment program with a 12-month follow-up.

Results

The internal relations between self-rated exhaustion symptoms were stable over time despite markedly decreased symptom levels throughout participation in treatment. Symptoms of limited mental stamina and negative emotional reactions to demands were consistently found to be the most closely related to other ED symptoms. Meanwhile, sleep quality and irritability were weakly related to other exhaustion symptoms. The symptom network for the full sample became significantly more closely connected from baseline to the end of treatment and 12-month follow-up. The symptom network of non-responders to treatment was not found to be more closely connected than the symptom network of responders at baseline.

Conclusions

The results of the current study suggest symptoms of limited mental stamina and negative emotional reactions to demands are central ED symptoms throughout treatment, while symptoms of irritability and sleep quality seem to have a weak relation to other symptoms of ED. The implications of these findings are discussed in relation to the conceptualization, assessment, and treatment of ED.

Our understanding of the underlying psychological processes of development, maintenance, and treatments for stress-induced exhaustion disorder (ED) remains limited. Therefore, the current study aimed to explore whether sleep concerns, pathological worry, perfectionistic concerns, and psychological flexibility mediate change in exhaustion symptoms during a Multimodal intervention for ED based on Cognitive behavioral therapy principles. Participants (N = 913) were assessed at three time points, and mediation was explored using a two-criteria analytical model with linear mixed-effects models (criterion one) and random intercepts cross-lagged panel modeling (criterion 2). Criterion one for mediation was successfully met, as the findings indicated significant associations between time in treatment, with all suggested mediators, and exhaustion symptoms (significant ab-products). However, criterion two was not satisfied as changes in the mediators did not precede changes in exhaustion symptoms. Therefore, mediation could not be established. Instead, changes in the suggested mediators appeared to result from changes in exhaustion symptoms. Consequently, sleep concerns, pathological worry, perfectionistic concerns, and psychological flexibility appear to improve in conjunction with exhaustion symptoms during treatment, where improvement in exhaustion is indicated as the main driving factor, based on this exploratory analysis. The implications of these findings are contextualized within a broader framework of process-based therapy.

Background

Exhaustion due to persistent non-traumatic stress (ENTS) is a significant health problem with substantial personal, social, and economic impact. While there are increasing studies of ENTS, there is no international agreement on how it should be diagnosed and treated. This scoping review aimed to map definitions, diagnoses, treatments, outcome measures, and outcomes in psychological treatment studies of ENTS. A further aim was to assess the quality of the treatments and map what change processes are described within ENTS interventions.

Methods

A PRISMA-guided scoping review of psychological treatment studies delivered in a clinical setting for ENTS was conducted using the databases of PubMed, PsycINFO, and CINAHL.

Results

Of the 60 studies included, the majority (87%) stemmed from Europe. The most recurrent term for ENTS was burnout, and the diagnosis most often utilized was exhaustion disorder. Several treatments were reported, the most frequent being cognitive behavioral therapy (CBT) (68%). Statistically significant outcomes relevant to ENTS were reported in 65% (n = 39) of the studies, with effect sizes between 0.13 and 1.80. In addition, 28% of the treatments were rated as high quality. The most frequent change processes described were dysfunctional sleep, avoidance, behavioral activation, irrational thoughts and beliefs, worry, perceived competence/positive management, psychological flexibility, and recuperation.

Conclusions

While several treatments based on CBT show promising results for ENTS, there do not seem to be any uniformly established methods, theoretical models, or change processes. Instead of adopting a monocausal, syndromal, and potentially bio-reductionist perspective on ENTS, a process-based approach to treatment is encouraged.

Long-term sick leave due to stress-related disorders has been steadily increasing in Western society. A portion of these sick leave rates is attributed to severe symptoms of exhaustion, assumed to be the result of persistent work stress. In Sweden, this symptomatology is currently classified using the diagnosis of stress-induced exhaustion disorder (ED). There are, however, no evidence-based treatments for ED, nor are there any established theoretical models to guide clinical interventions. Most current treatments revolve around promoting recovery behaviors, as ED is assumed to result from depleted psychophysiological resources. This thesis discusses the merits of this assumption and whether it is compatible with contemporary theories of stress and a contextual behavioral treatment approach. Additionally, a contextual behavioral model of ED is introduced with an accompanying biopsychosocial treatment, aiming to bridge the gap between theories of stress, basic learning principles, and clinically useful methods. The model suggests that ED can be conceptualized as a crisis of engagement rather than a result of depleted psychophysiological resources.

Complementing this theoretical work are empirical studies of different aspects of multimodal interventions (MMI) for ED with the overarching aim of fostering a more theoretically coherent ED treatment that can be made accessible to more patients. Study I was an open clinical trial tracking ED patients (N = 390) participating in a 24-week MMI based on cognitive behavior therapy (CBT). Study II explored sub-groups and predictors of improvements in a large cohort (N = 915) of ED patients participating in the same MMI as Study I. Study III explored mediators commonly suggested to be relevant within ED treatment in the same cohort as Study II: sleep concerns, pathological worry, perfectionistic concerns, and psychological flexibility. Study IV was an uncontrolled pilot trial (N = 26) of the biopsychosocial treatment for ED presented in this thesis, delivered within a 12-week online MMI.  

In summary, the results of this thesis indicate that ED patients participating in CBT-based MMI benefit from treatment and report few adverse effects. Moreover, high degrees of perfectionism and high treatment credibility were identified as predictors of improvement, indicating the importance of addressing perfectionistic behaviors and treatment credibility in ED treatment. With positive results similar to those of Study I, Study IV provides preliminary support that ED can be treated more effectively with fewer clinical resources than more extensive MMIs when a more focused and theoretically stringent approach is utilized. 

Background

The incidence of sick leave due to stress-related disorders such as exhaustion disorder (ED) is high in many economically developed countries. Meanwhile, knowledge about facilitating return to work during clinical interventions for ED patients is still limited. The current study aimed to investigate if improvements in exhaustion symptoms, insomnia, perfectionistic behaviors, psychological flexibility, and perceived work ability during treatment of ED were associated with subsequent sick leave in the year following treatment.

Methods

Using a cohort of 880 ED patients who had participated in a multimodal intervention based on Cognitive Behavior Therapy, we estimated the association between one standard deviation (SD) improvement in treatment-related variables and the rate of net days of sick leave one-year following treatment.

Results

Our results showed that improvements in all treatment-related variables were associated with lower sick leave rates one year following treatment. Improvements in exhaustion symptoms (rate ratio (RR): 0.70 [95% CI 0.66; 0.75]) and self-perceived work ability (RR 0.56 [95% CI 0.50; 0.63]) showed the strongest associations to subsequent sick leave.

Conclusions

These findings suggest that interventions focusing on exhaustion symptoms, insomnia, perfectionistic behaviors, psychological flexibility, and perceived work ability can have a meaningful impact on ED patients’ subsequent sick leave.

Little is known about psychological interventions for stress-induced Exhaustion disorder (ED), and there is a need for more research to improve the outcomes obtained in treatments. The present study examines predictors of improvement, including sub-group responses, in a large sample of ED patients receiving a Multimodal intervention (MMI) based on Cognitive Behavior Therapy (N = 915). In step one, available variables were explored separately as predictors of improvement in ED symptoms. In step two, sub-groups were explored through Latent Class Analysis to reduce the heterogeneity observed in the larger group and to investigate whether combining the variables from step one predicted symptom improvement. Younger age, no previous sick leave due to ED, and scoring high on anxiety, depression, insomnia, perfectionism, and treatment credibility emerged as separate predictors of improvement. In the sub-group analyses, a sub-group including participants who were single and had a lower income showed less improvement. Overall, people with ED participating in MMI report symptom improvement regardless of characteristics before treatment. However, the present findings do have the potential to inform future treatments for ED, as they highlight perfectionism as a predictor of improvement and the importance of assessing treatment credibility during treatment.