The role of therapist support on effectiveness of an internet-based modular self-help intervention for adjustment disorder: a randomized controlled trial

Cardiac disease-induced trauma and stress-related disorders

OBJECTIVE

This review aims to present an updated overview of cardiac disease-induced trauma and stress-related disorders such as acute stress disorder (ASD), adjustment disorder (AjD), and posttraumatic stress disorder (PTSD). First, the prevalence of these disorders, their diagnostic criteria, and their differences from other trauma-related disorders are described. Special challenges in diagnosis and treatment are identified, with various screening tools being evaluated for symptom assessment. Additionally, the risk factors studied so far for the development of symptoms of cardiac-induced posttraumatic stress disorder and the bidirectional relationship between posttraumatic stress disorder and cardiovascular diseases are summarized. Various therapeutic interventions, including pharmacological approaches, are also discussed. Finally, various areas for future research are outlined.

BACKGROUND

Experiencing a cardiovascular disease, particularly a life-threatening cardiac event, can potentially lead to stress-related disorders such as ASD, AjD, and cardiac disease-induced PTSD (CDI-PTSD). If left untreated, these disorders are associated with a worsening cardiac prognosis and higher mortality rates. Approaching treatment through a trauma-focused lens may be beneficial for managing CDI-PTSD and stress-related disorders.

CONCLUSION

Future research should explore treatment options for both the patients and the caregivers as well as investigate the long-term effects of trauma-focused interventions on physical and mental health outcomes.

A blended intervention for adjustment disorder: Study protocol for a feasibility trial

Introduction

Adjustment disorder (AjD) is a maladaptive response to one or more psychosocial stressors. In many cases, the symptomatology of this disorder disappears once the stressor or its consequences are no longer present. However, in some cases, if left untreated, the symptoms may worsen and develop into a more severe mental disorder. In this regard, different authors propose that a low-intensity intervention may be suitable for this disorder. Previous studies with other mental disorders and with patients with AjD found that blended interventions can be a viable and effective option. The aim of this study is to analyze the feasibility (the participants' expectations and preferences, the satisfaction and acceptance, the appropriateness of different methods of recruitment and data collection, and the reasons for dropping out) of a blended cognitive-behavioral intervention (CBT) for AjD that combines the use of a self-applied Internet-based program with videoconference sessions with a therapist. As a secondary objective, the potential efficacy of this intervention will be tested.

Method and analysis

A feasibility trial with a single-group and open-trial design will be conducted. A total of 41 participants will be assigned to the single treatment group. All the participants will be assessed for eligibility and respond at four measurement points: pre-treatment, post-treatment, and 3- and 12-month follow-ups. The treatment combines the use of an Internet-based intervention through a web platform with videoconference sessions with a therapist every 10-12 days. The intervention contains seven modules and is based on CBT. The main outcome measures are related to the feasibility of the intervention (adherence, treatment satisfaction and expectations, participants' opinions, preferences, therapeutic alliance, and usability). Clinical measures will also be assessed.

Discussion

To the best of our knowledge, this is the first study to test a blended intervention for AjD in the Spanish language. We expect this intervention to be feasible, and that a future Randomized Controlled Trial will be able to show its efficacy. Potential limitations include difficulties in recruiting the sample, failures in the computer systems, or a high dropout rate. Measures have been taken to try to reduce the impact of these limitations. This study received the approval of the Ethics committee of Universitat Jaume I in March 2022 (CD/42/2022).

Trial registration

ClinicalTrials.gov Identifier: NCT05464121. Registered 19 July 2022, https://clinicaltrials.gov/ct2/show/NCT05464121.

Effectiveness and mediators of change of an online CBT intervention for students with adjustment disorder-study protocol for a randomized controlled trial

BACKGROUND

Adjustment problems and disorders are highly prevalent among university students worldwide. These problems can cause significant interference in academic and social functioning and increase vulnerability to other mental health disorders. Unfortunately, only half of students in need receive psychological help. Furthermore, few studies have evaluated psychological interventions for adjustment disorders in students. New, more scalable forms of treatment for students with an adjustment disorder need to be developed, evaluated, and implemented. The study aims to determine the effectiveness of an online transdiagnostic cognitive behavioural intervention for students experiencing adjustment disorder and to assess mediators of change.

METHOD/DESIGN

In this three-arm randomized controlled trial, we plan to recruit 214 Polish students diagnosed with an adjustment disorder. Participants who meet initial eligibility criteria will be randomly assigned to one of three 6-week conditions: (1) online cognitive behavioural therapy intervention based on an existing, empirically supported transdiagnostic protocol, the unified protocol; (2) online progressive muscle relaxation training as an active control group; or (3) waiting-list control group. Both interventions are asynchronous, interactive, and include minimal amount of therapist support. Assessments will consist of self-report questionnaires, daily diary measures, and neurocognitive tasks for evaluating cognitive functioning. These will be conducted at baseline, post-treatment, and 1-month follow-up. Daily diary measures will be taken during the first and last week of treatment (or waitlist period). Primary outcome measures will include adjustment disorder severity; secondary outcome measures will consist of other negative (psychopathology: depression, anxiety, and stress) and positive (life satisfaction) indexes of mental health as well as process measures (e.g. mindfulness, experiential avoidance, cognitive fusion).

DISCUSSION

To our knowledge, the current study is the first to evaluate the effectiveness of a psychological intervention for students with adjustment disorder. Therefore, it may have important practical implications for students with this disorder. It can potentially guide the development of a scalable, validated treatment option.

TRIAL REGISTRATION

Clinical Trials, NCT05768308, registered 14 March 2023, https://www.

CLINICALTRIALS

gov/ct2/show/NCT05768308.

The role of therapist support on the efficacy of an internet-delivered stress recovery intervention for healthcare workers: a randomized control trial

Internet-delivered CBT interventions effectively improve different aspects of mental health, although the therapist's role remains unclear. The aim of this trial was to evaluate the efficacy of a therapist-supported 6-week internet-delivered intervention in improving stress recovery among healthcare workers compared to a group with optional therapist support. A total of 196 participants were recruited and randomly allocated to regular therapists' support or optional therapists' support groups. The primary outcome measure was the Recovery Experiences Questionnaire (REQ), developed to assess four components of stress recovery: psychological detachment, relaxation, mastery, and control. Secondary outcomes measured perceived stress (PSS-10), anxiety (GAD-7), depression (PHQ-9), and psychological well-being (WHO-5). All four stress recovery skills improved significantly after participating in the intervention at a 3-month follow-up, with small to medium effects (0.27-0.65) in both groups. At follow-up, we also found a significant reduction in perceived stress, depression, and anxiety in both groups, as well as an improvement in psychological well-being. The results indicate that ICBT can be effective in improving stress recovery skills among healthcare workers with optional support from the therapist, provided at the participants' request. This RCT suggests that optional therapist support could meet participants' needs and reduce resources needed in routine care.

Adjustment Disorder: Diagnosis and Treatment in Primary Care

Adjustment disorder is a disorder characterized by an extreme emotional reaction to a stressor. It is defined diagnostically with either the Diagnostic and Statistical Manual V or ICD-11 definitions. There is currently a diagnostic tool that is still being validated to assist with diagnosing adjustment disorder. The prevalence of this disorder ranges from 0.2% to 40%, depending on the stressful circumstances that the patient experiences. There are several treatments available for adjustment disorder, ranging from psychological interventions, natural therapies to pharmacotherapies.

Therapist-guided internet-based cognitive behavioral therapy versus face-to-face CBT for depression/anxiety symptoms in infertile women with adjustment disorders: A randomized controlled trial

Objective: The present study compared the effectiveness of ICBT to face-to-face CBT on the improvement of adjustment disorder symptoms in infertile women.Method: In a pragmatic, multi-center (public or private), single-blinded, non-inferior randomized controlled trial (RCT), 152 patients with AD (100 women in public center and 52 women in private canter) were assigned to ICBT and CBT. Primary outcomes were Adjustment Disorder New Module-20 (ADNM-20) and Hospital Anxiety and Depression (HADS). Secondary outcomes were the Fertility Problem Inventory (FPI) and Fertility Adjustment Scale (FAS).Results: "Peaceful mind" ICBT was feasible and accessible for delivering the treatment to infertile women with AD. At end-of-treatment, improvements in ICBT were non-inferior to CBT for symptoms of AD, anxiety, and depression. Additionally, the non-inferiority of ICBT to CBT was maintained at a three-month follow-up.Conclusions: ICBT was non-inferior to CBT in improving mental symptoms in infertile women with AD.

Cross-Cultural Comparison of ICD-11 Adjustment Disorder Prevalence and Its Risk Factors in Japanese and Lithuanian Adolescents

Background: Although there is increasing knowledge about adjustment disorder (AjD) based on the new diagnostic criteria of the International Classification of Diseases (ICD-11), less is known on AjD in adolescents. This study aimed to examine the prevalence of AjD and its risk factors in Japanese and Lithuanian adolescents. Methods: The cross-sectional study sample comprised 1745 adolescents from Japan (n = 913) and Lithuania (n = 832). AjD was assessed using the Adjustment Disorder New Module-8 (ADNM-8). We compared the prevalence of AjD in Japanese and Lithuanian adolescents. Using multinominal logistic regression analysis, we examined the effects of age, gender, socioeconomic status, and cumulative stressors as societal and cultural factors, resilience as an intrapersonal factor, and loneliness and perceived support as interpersonal factors on adolescent AjD. Results: The prevalence of probable AjD was 11.7% in Lithuanian adolescents and 6.9% in Japanese adolescents. Gender, socioeconomic status, cumulative stressors, resilience, loneliness, and perceived positive social support were each significantly associated with AjD risk. Conclusions: This cross-cultural comparative study revealed characteristics of the stressors and prevalence of AjD among Japanese and Lithuanian adolescents. In terms of the socio-interpersonal framework model for the stress–response syndrome, sociocultural, intrapersonal, and interpersonal factors were found to be risk factors associated with AjD in adolescents.

A Longitudinal Course of ICD-11 Adjustment Disorder Symptom Profiles: A 12-Month Follow-Up Study

INTRODUCTION

Adjustment disorder is frequently diagnosed in clinical practice; however, the course of adjustment disorder over time has not yet been studied extensively.

METHODS

This longitudinal study was one of the first that aimed to analyze trajectories of adjustment disorder symptoms in a 12-month follow-up among a high-risk community sample (n = 205) exposed to various stressors. Adjustment disorder symptoms were measured at baseline and 12-month follow-up with the Brief Adjustment Disorder New Module based on the definition of adjustment disorder provided in the 11th Edition of International Classification of Diseases (ICD-11) released in 2018 by the World Health Organization (WHO).

RESULTS

A latent transition analysis of adjustment symptoms identified four distinct trajectories: "high symptom," "recovery," "onset," and "low symptom." We found 46% of ICD-11 adjustment disorder at baseline, and 29% of the sample was classified as having a high-symptom adjustment symptom profile. The high-symptom profile was predicted by ongoing stressors, female gender, and higher education.

CONCLUSION

Study findings indicate that adjustment disorder among high-risk samples, in particular, those exposed to ongoing stressors, could have a high-symptom course over 12 months.

A tailored Internet-delivered modular intervention based on cognitive behavioral therapy for depressed older adults: a study protocol for a randomized controlled trial

Background

Depression is most common among the elderly and is associated with major impairment. With limited accessible treatments available, remotely provided interventions are needed. Internet-based interventions have been proven effective for a number of mental and somatic health problems. However, the elderly population has received relatively limited attention in previous studies. This study aims to address this gap by investigating the effectiveness of a tailored Internet-delivered modular intervention based on cognitive behavioral therapy (CBT).

Methods

A minimum of 60 participants will be recruited and randomly assigned to groups in a two-armed parallel controlled trial with a waiting list. The intervention group will have access to an 8-week therapist-supported modular intervention. The waiting list group will be instructed to wait for 8 weeks and then granted access to the intervention for 8 weeks. Pre, post, and 3-, 12-, and 24-month follow-up assessments are planned for measuring changes in depression symptoms, anxiety symptoms, and psychological well-being using PHQ-9, GDS, GAD-7, and WHO-5. Primary outcomes of all the participants will be analyzed using the intention-to-treat principle, and within- and between-group effect sizes will be calculated.

Discussion

Internet-based interventions could help address the existing treatment gap for depressed older adults. However, to date, the effectiveness of Internet-based CBT (ICBT) for depressed older adults has only been tested in a few studies. This trial will demonstrate if Internet-based CBT is effective for this population when compared to a waiting list control. Further analysis of secondary outcomes and participant behavior in the intervention will potentially reveal effectiveness moderating factors.

Trial registration

ClinicalTrials.gov NCT04728204. Registered on 15 January 2021. https://www.clinicaltrials.gov/ct2/show/NCT04728204?term=NCT04728204&draw=2&rank=1

The toll of a second lockdown: A longitudinal study

Background The mental health toll of a second lockdown during the COVID-19 pandemic has not been yet examined. The purpose of the study was to examine psychological predictors before the second lockdown and their impact on the prediction of ICD-11 probable Adjustment Disorder (AjD) after the second lockdown. Methods Using a longitudinal design we surveyed a national representative sample of the Israeli population before and after the second lockdown. In wave 1, 1029 were surveyed (Response Rate (RR) = 76.17%) and in Wave 2, 764 were surveyed (RR = 74.24%). Participants answer a questionnaire tapping COVID-19 stressful related events, uncertainty, probable depression predicting ICD-11 and probable AjD. Results The main predictors of AjD after the second lockdown were sex (OR = 1.868; p ≤0.01), having a COVID-19 occupational related stressful event (OR = 2.855; p <0.001), probable depression (OR = 2.520; p <0.001) and Uncertainty (OR = 4.485; p <0.001). Limitations We recognise the limitations of response bias. In addition, we did not measure pre COVID-19 mental health. Conclusions The study results show the mental toll of a second lockdown during the COVID-19 pandemic.

The Influence of Human Support on the Effectiveness of Digital Mental Health Promotion Interventions for the General Population

Mental wellbeing amongst the general population is languishing—exacerbated by the Coronavirus Disease 2019 (COVID-19) pandemic. Digital mental health promotion interventions, that improve mental health literacy and encourage adoption of evidence-informed practical strategies are essential. However, attrition and non-adherence are problematic in digital interventions. Human support is often applied as an antidote; yet, there is a paucity of randomized trials that compare different human support conditions amongst general population cohorts. Limited trials generally indicate that human support has little influence on adherence or outcomes in DMHPIs. However, providing participants autonomy to self-select automated support options may enhance motivation and adherence.

A systematic review and meta-analysis of psychological interventions to improve mental wellbeing

Our current understanding of the efficacy of psychological interventions in improving mental states of wellbeing is incomplete. This study aimed to overcome limitations of previous reviews by examining the efficacy of distinct types of psychological interventions, irrespective of their theoretical underpinning, and the impact of various moderators, in a unified systematic review and meta-analysis. Four-hundred-and-nineteen randomized controlled trials from clinical and non-clinical populations (n = 53,288) were identified for inclusion. Mindfulness-based and multi-component positive psychological interventions demonstrated the greatest efficacy in both clinical and non-clinical populations. Meta-analyses also found that singular positive psychological interventions, cognitive and behavioural therapy-based, acceptance and commitment therapy-based, and reminiscence interventions were impactful. Effect sizes were moderate at best, but differed according to target population and moderator, most notably intervention intensity. The evidence quality was generally low to moderate. While the evidence requires further advancement, the review provides insight into how psychological interventions can be designed to improve mental wellbeing.

Digital Interventions for Screening and Treating Common Mental Disorders or Symptoms of Common Mental Illness in Adults: Systematic Review and Meta-analysis

BACKGROUND

Digital interventions targeting common mental disorders (CMDs) or symptoms of CMDs are growing rapidly and gaining popularity, probably in response to the increased prevalence of CMDs and better awareness of early help-seeking and self-care. However, no previous systematic reviews that focus on these novel interventions were found.

OBJECTIVE

This systematic review aims to scope entirely web-based interventions that provided screening and signposting for treatment, including self-management strategies, for people with CMDs or subthreshold symptoms. In addition, a meta-analysis was conducted to evaluate the effectiveness of these interventions for mental well-being and mental health outcomes.

METHODS

Ten electronic databases including MEDLINE, PsycINFO, and EMBASE were searched from January 1, 1999, to early April 2020. We included randomized controlled trials (RCTs) that evaluated a digital intervention (1) targeting adults with symptoms of CMDs, (2) providing both screening and signposting to other resources including self-care, and (3) delivered entirely through the internet. Intervention characteristics including target population, platform used, key design features, and outcome measure results were extracted and compared. Trial outcome results were included in a meta-analysis on the effectiveness of users' well-being and mental health outcomes. We also rated the meta-analysis results with the Grading of Recommendations, Assessment, Development, and Evaluations approach to establish the quality of the evidence.

RESULTS

The electronic searches yielded 21 papers describing 16 discrete digital interventions. These interventions were investigated in 19 unique trials including 1 (5%) health economic study. Most studies were conducted in Australia and North America. The targeted populations varied from the general population to allied health professionals. All interventions offered algorithm-driven screening with measures to assess symptom levels and to assign treatment options including automatic web-based psychoeducation, self-care strategies, and signposting to existing services. A meta-analysis of usable trial data showed that digital interventions improved well-being (3 randomized controlled trials [RCTs]; n=1307; standardized mean difference [SMD] 0.40; 95% CI 0.29 to 0.51; I2=28%; fixed effect), symptoms of mental illness (6 RCTs; n=992; SMD -0.29; 95% CI -0.49 to -0.09; I2=51%; random effects), and work and social functioning (3 RCTs; n=795; SMD -0.16; 95% CI -0.30 to -0.02; I2=0%; fixed effect) compared with waitlist or attention control. However, some follow-up data failed to show any sustained effects beyond the post intervention time point. Data on mechanisms of change and cost-effectiveness were also lacking, precluding further analysis.

CONCLUSIONS

Digital mental health interventions to assess and signpost people experiencing symptoms of CMDs appear to be acceptable to a sufficient number of people and appear to have enough evidence for effectiveness to warrant further study. We recommend that future studies incorporate economic analysis and process evaluation to assess the mechanisms of action and cost-effectiveness to aid scaling of the implementation.

Adherence Predictors in Internet-Delivered Self-Help Intervention for Life Stressors-Related Adjustment Disorder

Background: There is a growing body of evidence to show that low-intensity self-help internet-delivered interventions are effective in the treatment of mental disorders. Despite the promising effectiveness of internet-delivered interventions, there is still a challenge for mental health services to implement internet-delivered interventions in routine health care. The aim of this study was to analyze the predictors of adherence to a self-help internet-delivered intervention for adjustment disorder. Methods: This was a secondary report of data, including unpublished data, from a randomized controlled trial of an internet-delivered self-help intervention for adjustment disorder. The study included 1,077 participants who had completed online baseline assessments. All participants had experienced significant life stressors over the last 2 years and had high levels of adjustment disorder symptoms. We analyzed the role of sociodemographic variables, pre-treatment adjustment disorder symptoms, outcome expectations, and perceived barriers to mental health services on the use of the intervention. Results: We found that usage of internet-delivered self-help intervention and higher adherence was associated with female gender, greater age, higher pre-intervention outcome expectations, exposure to other forms of psychological therapy in addition to the internet-intervention at the time of the study, and reported perceived barriers to mental health services by the study participants. Conclusions: The findings of the study indicated the importance of non-specific therapeutic factors on adherence during internet-delivered intervention. Perceived barriers to mental health services were associated with higher adherence to self-help intervention, which indicated that communities with restricted access to mental health services could benefit from low-intensity internet-delivered interventions.

Risk factors of ICD-11 adjustment disorder in the Lithuanian general population exposed to life stressors

Background: A new definition of adjustment disorder symptoms has been included in the 11th edition of the International Classification of Diseases (ICD-11). However, little is known about risk factors of ICD-11 adjustment disorder. Objective: The study aimed to analyse risk factors of adjustment disorder in a sample of the Lithuanian general population exposed to life-stressors. Method: In total, the study included 649 adult participants from the general population with various recent significant life-stressor experiences. ICD-11 adjustment disorder symptoms were measured using the Adjustment Disorder New Module-8 (ADNM-8) scale. Results: The prevalence of the ICD-11 adjustment disorder diagnosis in the sample was 16.5%. Job-related stressors and health-related stressors were significantly associated with adjustment disorder. Other risk factors for adjustment disorder in this study were female gender, greater age, and university education. Conclusions: We conclude that stressor type and demographic characteristics are associated with the risk of developing an adjustment disorder.

Adjustment disorder: current perspectives

Adjustment disorder (AjD) is among the most often diagnosed mental disorders in clinical practice. This paper reviews current status of AjD research and discusses scientific and clinical issues associated with AjD. AjD has been included in diagnostic classifications for over 50 years. Still, the diagnostic criteria for AjD remain vague and cause difficulties to mental health professionals. Controversies in definition resulted in the lack of reliable and valid measures of AjD. Epidemiological data on prevalence of AjD is scarce and not reliable because prevalence data are biased by the diagnostic algorithm, which is usually developed for each study, as no established diagnostic standards for AjD are available. Considerable changes in the field of AjD could follow after the release of the 11th edition of International Classification of Diseases (ICD-11). A new AjD symptom profile was introduced in ICD-11 with 2 main symptoms as follows: 1) preoccupation and 2) failure to adapt. However, differences between the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and ICD-11 AjD diagnostic criteria could result in diverse research findings in the future. The best treatment approach for AjD remains unclear, and further treatment studies are needed to provide AjD treatment guidelines to clinicians.

A scoping review of ICD-11 adjustment disorder research

Background: Adjustment disorder (AjD) is one of the most used mental disorder diagnoses among mental health professionals. Important revisions of the AjD definition in the 11th edition of the International Classification of Diseases (ICD-11) are proposed. AjD is included in a chapter of disorders specifically associated with stress in ICD-11. Objective: This paper aims to review recent developments in ICD-11 AjD research, and to discuss the available ICD-11 AjD diagnosis validation studies, AjD measures, treatment studies, and outline the future perspectives for AjD research and clinical practice. Methods: In total, 10 empirical studies of AjD ICD-11 were identified and included in this review. We searched for studies in Embase, PubMed, PsycINFO, Scopus, PILOTS, SocINDEX, and via additional search by contacting authors of published empirical studies and reference screening. Results: Review of the studies revealed a lack of validation studies of the ICD-11 AjD symptom structure. AjD validation study findings are ambiguous, and there is still little support for the proposed two symptom structure of AjD for the ICD-11. A self-report AjD measure 'Adjustment Disorder New Module' (ADNM) based on the ICD-11 definition has been developed and used in all 10 reviewed studies. Two self-help interventions have been developed for the ICD-11 AjD, and findings from these studies indicate that self-help low-intensity cognitive-behavioural interventions, delivered via bibliography or internet-based, might be effective treatment of AjD. Conclusions: The AjD definition in ICD-11 with a description of a new symptom profile facilitates AjD measurement and AjD-focused treatment developments. More studies and insights from clinical practice are needed to move the field of AjD research and practice forward.