The Long-COVID Well-Being Scale (LCOVID-WBS): Development of a nascent measure of long-COVID symptoms and impacts

As is now well-known, COVID-19 is a highly contagious disease, which for some can cause symptoms that last long after initial infection. In 2021, a clinical set of symptoms referred to as long-COVID was identified. For many patients, long-COVID is a confusing and frightening multisystem disease, with the potential for myriad negative psychosocial effects, including significant impacts on employment and mental health, and requiring ongoing care. Research and treatment of long-COVID will be facilitated by a sound measure that addresses aspects of well-being, symptom experiences, and psychosocial impacts among long-COVID patients. The present work addresses this need by presenting the results of the development and preliminary psychometrics for the Long-COVID Well-Being Scale (LCOVID-WBS). In an exploratory factor analysis with a panel of 236 participants, researchers identified four factors: Emotional Strain, Physical Ability Strain, Control of Life, and Overall Evaluation of Health. The nascent measure represents the first step to measuring the impacts of long-COVID.

Comparing the Efficacy of Electronically Delivered Cognitive Behavioral Therapy (e-CBT) to Weekly Online Mental Health Check-Ins for Generalized Anxiety Disorder-A Randomized Controlled Trial: Comparaison de l'efficacité de la thérapie cognitivo-comportementale délivrée par voie électronique (e-TCC) aux contrôles hebdomadaires en ligne de santé mentale pour le trouble d'anxiété généralisée - un essai randomisé contrôlé

BACKGROUND

Generalized anxiety disorder (GAD) is a prevalent anxiety disorder characterized by uncontrollable worry, trouble sleeping, muscle tension, and irritability. Cognitive behavioural therapy (CBT) is one of the first-line treatments that has demonstrated high efficacy in reducing symptoms of anxiety. Electronically delivered CBT (e-CBT) has been a promising adaptation of in-person treatment, showing comparable efficacy with increased accessibility and scalability. Finding further scalable interventions that can offer benefits to patients requiring less intensive interventions can allow for better resource allocation. Some studies have indicated that weekly check-ins can also lead to improvements in GAD symptoms. However, there is a lack of research exploring the potential benefits of online check-ins for patients with GAD.

OBJECTIVE

This study aims to investigate the effects of weekly online asynchronous check-ins on patients diagnosed with GAD and compare it with a group receiving e-CBT.

METHODS

Participants (n e-CBT = 45; n check-in = 51) with GAD were randomized into either an e-CBT or a mental health check-in program for 12 weeks. Participants in the e-CBT program completed pre-designed modules and homework assignments through a secure online delivery platform where they received personalized feedback from a trained care provider. Participants in the mental health check-in condition had weekly asynchronous messaging communication with a care provider where they were asked structured questions with a different weekly theme to encourage conversation.

RESULTS

Both treatments demonstrated statistically significant reductions in GAD-7-item questionnaire (GAD-7) scores over time, but when comparing the groups there was no significant difference between the treatments. The number of participants who dropped out and baseline scores on all questionnaires were comparable for both groups.

CONCLUSIONS

The findings support the effectiveness of e-CBT and mental health check-ins for the treatment of GAD.

Randomized Trial of the Effectiveness of Videoconferencing-Based Versus Message-Based Psychotherapy on Depression

OBJECTIVE

The authors compared the engagement, clinical outcomes, and adverse events of text or voice message-based psychotherapy (MBP) versus videoconferencing-based psychotherapy (VCP) among adults with depression.

METHODS

The study used a sequential multiple-assignment randomized trial design with data drawn from phase 1 of a two-phase small business innovation research study. In total, 215 adults (ages ≥18 years) with depression received care from Talkspace, a digital mental health care company. Participants were initially randomly assigned to receive either asynchronous MBP or weekly VCP. All therapists provided evidence-based treatments such as cognitive-behavioral therapy. After 6 weeks of treatment, participants whose condition did not show a response on the Patient Health Questionnaire-9 or was rated as having not improved on the Clinical Global Impressions scale were randomly reassigned to receive either weekly VCP plus MBP or monthly VCP plus MBP. Longitudinal mixed-effects models with piecewise linear time trends applied to multiple imputed data sets were used to address missingness of data.

RESULTS

Participants who were initially assigned to the MBP condition engaged with their therapists over more weeks than did participants in the VCP condition (7.8 weeks for MBP vs. 4.9 weeks for VCP; p<0.001). No meaningful differences were observed between the two groups in rates of change by 6 or 12 weeks for depression, anxiety, disability, or global ratings of improvement. Neither treatment resulted in any adverse events.

CONCLUSIONS

MBP appears to be a viable alternative to VCP for treating adults with depression.

Effectiveness of a chatbot in improving the mental wellbeing of health workers in Malawi during the COVID-19 pandemic: A randomized, controlled trial

We conducted a randomized, controlled trial (RCT) to investigate our hypothesis that the interactive chatbot, Vitalk, is more effective in improving mental wellbeing and resilience outcomes of health workers in Malawi than the passive use of Internet resources. For our 2-arm, 8-week, parallel RCT (ISRCTN Registry: trial ID ISRCTN16378480), we recruited participants from 8 professional cadres from public and private healthcare facilities. The treatment arm used Vitalk; the control arm received links to Internet resources. The research team was blinded to the assignment. Of 1,584 participants randomly assigned to the treatment and control arms, 215 participants in the treatment and 296 in the control group completed baseline and endline anxiety assessments. Six assessments provided outcome measures for: anxiety (GAD-7); depression (PHQ-9); burnout (OLBI); loneliness (ULCA); resilience (RS-14); and resilience-building activities. We analyzed effectiveness using mixed-effects linear models, effect size estimates, and reliable change in risk levels. Results support our hypothesis. Difference-in-differences estimators showed that Vitalk reduced: depression (-0.68 [95% CI -1.15 to -0.21]); anxiety (-0.44 [95% CI -0.88 to 0.01]); and burnout (-0.58 [95% CI -1.32 to 0.15]). Changes in resilience (1.47 [95% CI 0.05 to 2.88]) and resilience-building activities (1.22 [95% CI 0.56 to 1.87]) were significantly greater in the treatment group. Our RCT produced a medium effect size for the treatment and a small effect size for the control group. This is the first RCT of a mental health app for healthcare workers during the COVID-19 pandemic in Southern Africa combining multiple mental wellbeing outcomes and measuring resilience and resilience-building activities. A substantial number of participants could have benefited from mental health support (1 in 8 reported anxiety and depression; 3 in 4 suffered burnout; and 1 in 4 had low resilience). Such help is not readily available in Malawi. Vitalk has the potential to fill this gap.

Provision of Cognitive Behavior Therapy for Depression and Anxiety Disorders by Medical Student Trainees

OBJECTIVE

The purpose of the article is to evaluate an innovative education program in which medical students were trained in cognitive behavior therapy (CBT) and provided CBT treatments under supervision to uninsured individuals with depressive, anxiety, adjustment, and trauma-based disorders.

METHODS

The authors assessed improvements in trainees' CBT knowledge using the Cognitive Therapy Awareness Scale before and after their didactic training. CBT supervisors rated trainees' clinical competencies utilizing standardized checklist evaluations based upon supervision reports. The authors employed mixed effects ANOVA and regression modeling to test the association between the addition of CBT to treatment as usual (TAU) and improvements in patients' depressive and anxious symptom severity. The authors collected feedback and self-assessment of functioning with a Psychotherapy Feedback Questionnaire.

RESULTS

Medical students showed increases in CBT knowledge that were maintained six months later and demonstrated satisfactory competency in CBT techniques. The addition of CBT to TAU was associated with greater improvements in depressive, but not anxious, symptom severity. However, among the TAU + CBT group, there was an association between the number of CBT sessions received and the magnitude of improvement in anxious symptoms from baseline. Patients gave positive feedback to medical student CBT providers and reported improvements in broad domains of psychosocial functioning.

CONCLUSIONS

Medical students can provide competent and clinically beneficial CBT treatments for depression and anxiety disorders. These findings have implications for medical training and support the use of medical students to deliver care for individuals with limited access to psychotherapy.

Effectiveness of the Wellness Together Canada Portal as a Digital Mental Health Intervention in Canada: Protocol for a Randomized Controlled Trial

BACKGROUND

The Wellness Together Canada (WTC) portal is a digital mental health intervention that was developed in response to an unprecedented rise in mental health and substance use concerns due to the COVID-19 pandemic, with funding from the Government of Canada. It is a mental health and substance use website to support people across Canada providing digital interventions and services at no cost. Two million people have visited the WTC portal over the course of 1 year since launching; however, rigorous evaluation of this potential solution to access to mental health care during and after the COVID-19 pandemic is urgently required.

OBJECTIVE

This study aims to better understand the effectiveness of the existing digital interventions in improving population mental health in Canada.

METHODS

The Let's Act on Mental Health study is designed as a longitudinal fully remote, equally randomized (1:1), double-blind, alternative intervention-controlled, parallel-group randomized controlled trial to be conducted between October 2023 and April 2024 with a prospective follow-up study period of 26 weeks. This trial will evaluate whether a digital intervention such as the WTC improves population mental health trajectories over time.

RESULTS

The study was approved by the research ethics board of CAMH (Centre for Addiction and Mental Health, Toronto, Ontario, Canada). It is ongoing and participant recruitment is underway. As of August 2023, a total of 453 participants in the age group of 18-72 years have participated, of whom 70% (n=359) are female.

CONCLUSIONS

This initiative provides a unique opportunity to match people's specific unmet mental health and substance use needs to evidence-based digital interventions.

Comparing the efficacy of electronic cognitive behavioral therapy to medication and combination therapy for generalized anxiety disorder: a quasi-experimental clinical trial

Background

Generalized anxiety disorder (GAD) is a debilitating mental health disorder with first-line treatments include cognitive behavioral therapy (CBT) and pharmacotherapy. CBT is costly, time-consuming, and inaccessible. Electronic delivery (e-CBT) is a promising solution to address these barriers. However, due to the novelty of this intervention, more research testing the e-CBT efficacy independently and in conjunction with other treatments is needed.

Objective

This study investigated the efficacy of e-CBT compared to and in conjunction with pharmacotherapy for GAD.

Methods

This study employed a quasi-experimental design where patients selected their preferred treatment modality. Patients with GAD were enrolled in either e-CBT, medication, or combination arms. The 12-week e-CBT program was delivered through a digital platform. The medications followed clinical guidelines. The efficacy of each arm was evaluated using questionnaires measuring depression, anxiety, and stress severity, as well as quality of life.

Results

There were no significant differences between arms (N e-CBT = 41; N Medication = 41; N Combination = 33) in the number of weeks completed or baseline scores. All arms showed improvements in anxiety scores after treatment. The medication and combination arms improved depression scores. The e-CBT and Combination arms improved quality of life, and the combination arm improved stress scores. There were no differences between the groups in depression, anxiety, or stress scores post-treatment. However, the combination arm had a significantly larger improvement in quality of life. Gender and treatment arm were not predictors of dropout, whereas younger age was.

Conclusion

Incorporating e-CBT on its own or in combination with pharmaceutical interventions is a viable option for treating GAD. Treating GAD with e-CBT or medication appears to offer significant improvements in symptoms, with no meaningful difference between the two. Combining the treatments also offer significant improvements, while not necessarily superior to either independently. The findings suggest that all options are viable. Taking the patient's preferred treatment route based on their lifestyle, personality, and beliefs into account when deciding on treatment should be a priority for care providers.

Benchmarking secondary outcomes to posttraumatic stress disorder symptom change in response to cognitive processing and written exposure therapy for posttraumatic stress disorder

Posttraumatic stress disorder (PTSD) has high comorbidity with other psychiatric conditions, including depression, generalized anxiety, and suicidality. Evidence-based treatments (EBTs) for PTSD are effective at reducing PTSD symptoms. However, evidence on the impact of PTSD EBTs on comorbid conditions is mixed and often uses pre-post analyses, which disregards PTSD symptom response. This study replicated and extended prior work on benchmarking quality of life to PTSD symptom response to a broader range of secondary outcomes using a research-based metric of clinically meaningful PTSD symptom change. Ninety-five active duty military members seeking treatment for PTSD participated in a randomized noninferiority trial examining two cognitive behavioral therapies for PTSD: Written Exposure Therapy and Cognitive Processing Therapy. Participants completed clinician-administered and self-rating assessments at baseline and 10 weeks post-first treatment session and were classified as PTSD treatment responders or nonresponders. Data were analyzed using generalized linear mixed effects models with repeated measures with fixed effects of time and PTSD symptom response category. PTSD treatment responders experienced significant improvements in secondary outcomes; nonresponders demonstrated statistically significant, but not clinically meaningful, comorbid symptom change. Our findings provide evidence that successfully treating PTSD symptoms may also positively impact psychiatric comorbidity.

Predicting internalizing symptoms with machine learning: identifying individuals that need care

Objective The current project aims to identify individuals in urgent need of mental health care, using a machine learning algorithm (random forest). Comparison/contrast with conventional regression analyses is discussed. Participants: A total of 2,409 participants were recruited from an anonymous university, including undergraduate and graduate students, faculty, and staff. Methods: Answers to a COVID-19 impact survey, the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder-7 (GAD-7) were collected. The total scores of PHQ-9 and GAD-7 were regressed on six composites that were created from the questionnaire items, based on their topics. A random forest was trained and validated. Results: Results indicate that the random forest model was able to make accurate, prospective predictions (R2 = .429 on average) and we review variables that were deemed predictively relevant. Conclusions: Overall, the study suggests that predictive models can be clinically useful in identifying individuals with internalizing symptoms based on daily life disruption experiences.

Efficacy and safety of a vitamin-mineral intervention for symptoms of anxiety and depression in adults: A randomised placebo-controlled trial "NoMAD"

BACKGROUND

Anxiety and depression are increasingly burdening society. We investigated whether micronutrients (vitamins and minerals), improve anxiety and depression symptoms in an adult community setting.

METHODS

Participants (n = 150) describing functionally-impairing symptoms of anxiety/depression randomly received micronutrients or placebo for 10 weeks. Primary outcome measures were Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder Scale-7 (GAD-7), and Clinical Global Impression-Improvement scale (CGII). They were monitored online with regular phone contact with a clinical psychologist.

RESULTS

Linear mixed-effects modelling showed significant improvements in both groups, with the micronutrient group improving significantly more quickly on both the PHQ-9 (t = -2.17, p = 0.03) and the GAD-7 (t = -2.23, p = 0.03). Subsequent models with covariates showed that participant characteristics moderated time-by-group interactions; micronutrients provided fastest improvement relative to placebo for younger participants, those from lower socioeconomic groups and those who had previously tried psychiatric medication. On the CGII, there were no group differences at end-point ((F1,148) = 1.36, p = 0.25, d = 0.19, 95 % CI [-0.13 to 0.51]), with 49 % of the micronutrient and 44 % of the placebo groups being identified responders. Participants on micronutrients had significantly increased bowel motions compared with placebo. There was no increased suicidal ideation, no serious adverse events and the blind was adequately maintained. Drop out was low at 8.7 %.

LIMITATIONS

The improvement under placebo and lack of formal diagnoses limit generalizability.

CONCLUSIONS

Despite limited clinician contact, all participants improved significantly, though improvements were faster with micronutrients. Participants in some subgroups demonstrated a lower response to placebo, identifying where micronutrients may offer greatest potential as an intervention.

Mental health outcomes for those who have offended and have been given a Mental Health Treatment Requirement as part of a Community Order in England and Wales

BACKGROUND

Growing evidence of mental disorders among people going through the criminal justice system suggests the potential benefit of courts adding a Mental Health Treatment Requirement (MHTR) when sentencing an offender to a Community Order (sentence) in England and Wales. Although available since 2003, MHTRs have not been widely used, and there is little evidence on outcomes.

AIM

To conduct the first large-scale evaluation of mental health outcomes of people with an MHTR as part of their community sentence across multiple sites in England and Wales.

METHODS

Data were collected from 14 sites in England and Wales about individuals who were given an MHTR as part of a community sentence. They were assessed before and after this. During the MHTR, they received a psychotherapeutic intervention by assistant psychologists in a primary care framework. Measures of psychological distress (Clinical Outcomes in Routine Evaluation-Outcome Measure), anxiety (Generalised Anxiety Disorder-7) and depression (Patient Health Questionnaire) were completed before the MHTR was implemented and after completion.

RESULTS

Where paired sample t-tests and Wilcoxon signed ranked tests were used, with samples ranging between 309 and 447 individuals, clinically significant changes were obtained for all measures. Most individuals (63%) were identified as experiencing a reliable change in at least two out of the three scales. Finally, a negative linear relationship, between measures at the start of the intervention and reliable change, was identified with higher pre-measures, indicating that more initial distress, anxiety and/or depression were associated with more sizeable changes.

CONCLUSIONS

This paper provides the first substantial evidence in support of the MHTR within a primary mental healthcare framework as an effective pathway to reduce mental health problems among individuals under probation supervision as part of a sentence after conviction for a criminal offence. This supports the expansion of the provision across England and Wales. Future research should take account of the non-completers and explore the relationship between the MHTR, mental health improvements and reoffending.

Comparison of false positive and false negative rates of two indices of individual reliable change: Jacobson-Truax and Hageman-Arrindell methods

Background

Quantification of change is crucial for correctly estimating the effect of a treatment and for distinguishing random or non-systematic changes from substantive changes. The objective of the present study was to learn about the performance of two distribution-based methods [the Jacobson-Truax Reliable Change Index (RCI) and the Hageman-Arrindell (HA) approach] that were designed for evaluating individual reliable change.

Methods

A pre-post design was simulated with the purpose to evaluate the false positive and false negative rates of RCI and HA methods. In this design, a first measurement is obtained before treatment and a second measurement is obtained after treatment, in the same group of subjects.

Results

In relation to the rate of false positives, only the HA statistic provided acceptable results. Regarding the rate of false negatives, both statistics offered similar results, and both could claim to offer acceptable rates when Ferguson's stringent criteria were used to define effect sizes as opposed to when the conventional criteria advanced by Cohen were employed.

Conclusion

Since the HA statistic appeared to be a better option than the RCI statistic, we have developed and presented an Excel macro so that the greater complexity of calculating HA would not represent an obstacle for the non-expert user.

Effects of 3D-Printed Models and 3D Printed Pictures on Maternal- and Paternal-Fetal Attachment, Anxiety, and Depression

OBJECTIVE

To compare the effect of a 3D-printed model versus 3D printed pictures on maternal- and paternal-fetal attachment, pregnancy-related anxiety, and depression in parents in the third trimester.

DESIGN

Randomized controlled trial.

SETTING

University- and clinic-affiliated hospital system.

PARTICIPANTS

Between August 2020 and July 2021, we screened 419 women for eligibility. A total of 184 participants (n = 95 women and n = 89 men) were included in the intention-to-treat analysis, of whom 47 women and 44 men received the 3D-printed model, whereas 48 women and 45 men received the 3D printed picture.

METHODS

Participants completed a set of questionnaires before they received third trimester 3D ultrasonography and a second set of questionnaires approximately 14 days after the study ultrasonography. The primary outcome was the global Maternal and Paternal Antenatal Attachment scale scores. Secondary outcomes included the Maternal and Paternal Antenatal Attachment subscale scores, global Generalized Anxiety Disorder-7 scores, global Patient Health Questionnaire-9 scores, and global Pregnancy-Related Anxiety Questionnaire-Revised (second version) scores. We used multilevel models to estimate the effect of the intervention.

RESULTS

We found a statistically significant increase in mean attachment scores after the 3D printed picture and 3D-printed model intervention of 0.26, 95% confidence interval (CI) [0.22, 0.31], p < .001. Additionally, we found statistically significant improvement in depression (mean change = -1.08, 95% CI [-1.54, -0.62], p < .001), anxiety (mean change = -1.38, 95% CI [-1.87, -0.89], p < .001), and pregnancy-related anxiety (mean change = -2.92, 95% CI [-4.11, -1.72], p < .001) scores. We found no statistically significant between-group differences related to maternal or paternal attachment, anxiety, depression, or pregnancy-related anxiety.

CONCLUSIONS

Our findings support the use of 3D printed pictures and 3D-printed models to improve prenatal attachment, anxiety, depression, and pregnancy-related anxiety.

A Clinical Case Study of Solution-Focused Brief Therapy for Young Adult Cancer Patients’ Psychological Distress: Focusing on Positive Emotions

Psychological distress is highly prevalent among adolescent and young adult (AYA) cancer patients, an age-defined population (15–39) disproportionately impacted by their cancer diagnosis. Solution-focused brief therapy (SFBT) is a strength-based and evidence-supported approach for youth with medical conditions. The use of SFBT in young cancer patients, however, has been rarely described. Building on the broaden-and-build theory of positive emotions, this study describes how SFBT clinicians intentionally foster positive emotions, especially hope, in an AYA cancer patient to foster therapeutic change. We found improvements in the patient’s psychological distress as well as growth in levels of hope both in the immediate post-intervention assessment and in the 2-week follow-up. The findings of the study suggested that SFBT is a promising approach to the unique challenges confronting AYAs with cancer. It was not feasible for this case study to match the sex and racial identities for a therapist with the client’s preference, which is considered a main limitation of this study.

Individually delivered mindfulness-based cognitive therapy in concomitant problematic substance use and emotional symptoms: A process-based case study

The process-based approach assumes that transdiagnostic psychological processes are involved in the onset and maintenance of mental disorders. Case conceptualization is used to identify such psychological processes and to individualize the intervention accordingly. This approach is fundamentally different from syndrome-based approaches in which standardized treatments are administered for psychiatric diagnoses or symptoms. In the current case, we proposed a process-based conceptualization and treatment for a woman with concomitant problematic substance use and emotional symptoms. Our idiosyncratic process-based conceptualization showed that for this person, substance abuse consisted in a maladaptive coping strategy to deal with repetitive negative thinking and poor emotion regulation skills, for which we decided to use a mindfulness-based intervention. Treatment comprised 8 weeks of individually delivered mindfulness-based cognitive therapy sessions. A comprehensive assessment of psychiatric symptoms and psychological processes was conducted at baseline, post-intervention and 3-month follow-up. The post-treatment assessment revealed that psychological processes targeted by the intervention were improved, together with the mindfulness trait. At the symptom-based level, we observed a significant reduction in substance abuse and emotional symptoms. Treatment gains were maintained at follow-up. From a process-based perspective, this result implies that the intervention successfully targeted the psychological processes underlying the presenting symptoms. Adopting a process-based approach rather than symptom- or syndrome-based approaches is a valuable alternative in the conceptualization and treatment of complex cases presenting with multiple comorbidities.

A Czech version of the Overall Anxiety Severity and Impairment Scale (OASIS): standardization and psychometric properties

BACKGROUND

The Overall Anxiety Severity and Impairment Scale (OASIS) is a transdiagnostic measure that assesses severity and impairment associated with anxiety disorders. However, its psychometric properties were primarily examined in English-speaking or western countries. Therefore, this study aims to examine its psychometric parameters in the Czech Republic.

METHODS

A large representative sample (n = 1738), a clinical sample (n = 57) and a retest sample (n = 20) were used. In addition to the OASIS, conventional measures of anxiety, depression, personality traits, self-esteem, life satisfaction, and other scales were also administered. Moreover, we examined the latent structure, reliability, validity, and the cut-off score for the Reliable Change Index (RCI) and the Clinically Significant Change Index (CSI).

RESULTS

Higher anxiety was found in females, religious non-church members, and students. The Confirmatory Factor Analysis supported the adequate fit of the unidimensional solution: x2(4) = 3.20; p < 0.525; CFI = 1.000; TLI = 1.000;RMSEA = 0, SRMR = 0. The measurement equivalence examination indicated that the OASIS measures anxiety invariantly between males and females. The validity of the OASIS was supported by positive associations with neuroticism, depression, perceived stress, guilt, shame, and the established anxiety measures. The internal consistency was excellent (Cronbach's alpha = 0.96, McDonald's omega = 0.96). The test-retest reliability was acceptable (r = 0.66). The cut-off for the CSI is 6 and the RCI is 5.32.

CONCLUSIONS

The OASIS represents a reliable and valid instrument for assessing anxiety in adults. Due to its shortness, excellent psychometric properties, and percentile norms, it is especially useful for short and accurate screening of anxiety and mapping therapeutic changes in clinical practice.

Eye movement desensitization and reprocessing for post-stroke post-traumatic stress disorder: Case report using the three-phase approach

Medically-induced post-traumatic stress disorder (PTSD) is substantially more prevalent than PTSD in the general population. In people with stroke, it can impact as many as 23% of patients, with negative effects on mental health as well as stroke-related disability. Medically-induced PTSD may have unique features compared to other forms of PTSD, and therefore there is a pressing need to evaluate existing treatments for PTSD in this context. The current study reports on the feasibility, safety, and efficacy of Eye Movement Desensitization and Reprocessing (EMDR) for PTSD subsequent to a pontine stroke. Using a quasi-experimental case design, a 44-year-old Caucasian woman received EMDR delivered via telehealth. Self-report measures were obtained at baseline, pre-EMDR, and post-EMDR, with brief neuropsychological testing pre/post-EMDR. After 3 sessions of EMDR, the patient no longer met criteria for PTSD, and showed clinically significant reductions in depressive and generalized anxiety symptoms. With proper safety provisions, it is feasible to deliver EMDR via telehealth to alleviate post-stroke PTSD. Reduced linguistic demands of EMDR may be particularly appealing for persons with neurological disorders as compared to other trauma therapies. Further work is also needed to understand the parameters of baseline neuropsychological function that could impact response to intervention.

Elite female footballers in England: an exploration of mental ill-health and help-seeking intentions

OBJECTIVES

Mental health research in sport is almost entirely focused on elite male athletes. However, recent research suggests that elite female athletes are at higher risk for mental ill-health when compared to their male counterparts. Given the recent growth of women's football in England and lack of research surrounding mental health in this population, this study sought to explore the prevalence of, and factors associated with depression, anxiety, and eating disorder symptoms in females competing in the top two tiers of English football.

METHODS

An anonymous online questionnaire pack, which measured personal and player characteristics and included the Patient Health Questionnaire (PHQ-9), Generalised Anxiety Disorder scale (GAD-7), Brief Eating Disorder Questionnaire (BEDA-Q), and General Help-Seeking Questionnaire (GHSQ), was completed between November 2020 and March 2021 by elite female footballers competing in the Women's Super League (WSL) and Women's Championship.

RESULTS

A total of 115 players completed the questionnaire (63 from the WSL; 52 from the Women's Championship). 36% displayed eating disorder symptoms (BEDAQ) 11% displayed moderate to severe anxiety symptoms (GAD-7), and 11% displayed moderate to severe depression symptoms (PHQ-9). Significant associations emerged between starting status, want for psychological support, student-athlete status, help-seeking intentions score, and mental ill-health symptoms.

CONCLUSION

In summary, elite female footballers in England reported significant mental health symptoms, particularly disordered eating symptoms. Further research should explore the experiences of mental ill-health in this population, focusing on the factors that were important in this study.

Risk factors for depression and anxiety during COVID-19 in Israel: A two-wave study before and during the pandemic

Research indicates that mental health problems increased across the globe after the outbreak of the COVID-19 pandemic. However, there is a need for research examining specific risk factors for mental health problems, while accounting for symptoms before the pandemic. This study examined risk factors for depression and anxiety symptoms among Israeli adults following the first wave of the COVID-19 pandemic in Israel, above and beyond depression and anxiety symptoms reported 3 years before the pandemic. We performed a two-wave 3-year longitudinal study (W1 July-September 2017; W2 May-June 2020). The final sample included 578 participants who completed anxiety and depression self-report questionnaires at both waves. The W2 assessment additionally included being considered high-risk for COVID-19, and measures regarding loneliness, perceived stress, and COVID-19 worries. Both anxiety and depression symptoms were significantly higher at W2 during the pandemic. Worries related to COVID-19, perceived stress, loneliness, and prior mental health symptoms predicted depression and anxiety in W2. Additionally, being younger was associated with W2 anxiety. The current study highlights risk factors for psychological distress in light of the COVID-19 pandemic. Attention of clinicians and policy makers should be given to the important role of loneliness when screening and treating people during this pandemic.

Attachment insecurity predicts outcomes in an ACT-CBT group therapy for adults in a physical rehabilitation centre

Adapting to chronic illness or disability is accompanied by acute and ongoing illness stressors. Psychological factors such as emotional distress and low self-efficacy are common experiences in chronic illness and disability and interfere with adaptation and psychosocial outcomes such as health-related quality of life. Transdiagnostic group psychotherapy may provide a parsimonious approach to psychological treatment in rehabilitation care by targeting shared illness stressors across mixed chronic illnesses and disabilities, and shared processes that maintain psychological symptoms. Attachment theory may explain individual differences in outcomes and help identify individuals at risk of poor health-related quality of life trajectories. Adults (N=109) participated in an 8-week process-based ACT-CBT psychotherapy group at a tertiary care physical rehabilitation centre between 2016 and 2020. Participants completed measures of emotional distress, self-efficacy, health-related quality of life, and attachment at pre- and post-treatment. Multilevel analyses indicated that patients improved on most outcomes at post-treatment. Attachment anxiety at pre-treatment was associated with more positive outcomes. Reliable change indices suggest clinically meaningful change for the majority of participants, but most were not recovered. Results provide proof-of-concept for the transdiagnostic group intervention and suggest that a longer course of treatment may be clinically indicated. Results warrant replication with larger and more diverse samples, and more robust designs.

Further development of the intolerance of uncertainty model of GAD: a case series

Intolerance of uncertainty (IoU) is important in the development and maintenance of worry and generalized anxiety disorder (GAD; Dugas et al., 1997). However, it remains unclear why some people respond so negatively to uncertainty and have poor clinical outcomes. We adapted the IoU model to include the influence of developmental and/or attachment factors, and their possible importance to intolerability of uncertainty and associated hypothetical worries. Seven consecutive GAD referrals for CBT were naturalistically treated with the novel approach. All participants completed the 7-item Generalized Anxiety Disorder Scale (GAD-7; Spitzer et al., 2006), the Penn State Worry Questionnaire (PSWQ; Meyer et al., 1990), as well as a novel 10-item Premonition Bias Questionnaire (PBQ; C. Chigwedere et al., unpublished). From pre- to post-treatment, results for both GAD (p=.001) and worry (p=.005) improved significantly. Clinically significant change or a post-treatment score within the normal population range were observed for both the GAD-7 and PSWQ. The change in believability of worry, measured on the PBQ was also significant from pre- to post-treatment (p=.008). Overall, the novel approach may be an alternative approach to treating GAD, with some potential, both as an adjunctive or standalone treatment. However, this is a small case series and the presented novel approach requires empirical support and evaluation in larger experimental studies.

Effect of a collaborative care model on anxiety symptoms among patients with depression and diabetes in India: The INDEPENDENT randomized clinical trial

OBJECTIVE

We assessed the impact of a collaborative care intervention on anxiety symptoms among participants in India with comorbid depression, poorly controlled diabetes, and moderate to severe anxiety symptoms.

METHOD

We analyzed data from a randomized controlled trial conducted at four diabetes clinics in India. Participants received either collaborative care or usual care. We included only participants who scored ⩾10 on the Generalized Anxiety Disorder-7 (GAD-7) at baseline. We estimated the effect of the intervention on clinically significant reduction in anxiety symptoms; we considered several potential baseline moderators and mediation by anti-depressant use.

RESULTS

One hundred and seventy-two participants scored 10 or above on the GAD-7 at baseline. Collaborative care participants were more likely than control participants to achieve a clinically significant reduction in anxiety symptoms at 6 and 12 months (65.7% vs. 41.4% at 12 months, p = 0.002); these differences were not sustained at 18 or 24 months. There was little evidence of moderation by participant characteristics at baseline, and effects were not mediated by anti-depressant use.

CONCLUSIONS

Collaborative care for the treatment of depression and type 2 diabetes can lead to clinically significant reductions in anxiety symptoms among patients with anxiety. Effects were notable during the active intervention period but not over the year post-intervention.

Transitioning Transdiagnostic CBT from Face-to-Face to Telephone Delivery During the Coronavirus Pandemic: A Case Study

The coronavirus pandemic led to worldwide disruption in the delivery of face-to-face mental health services. This impact was marked for individuals with long-term health conditions and comorbid depression and anxiety. Many face-to-face mental health services switched to remote delivery or paused therapeutic input entirely, despite the lack of research on the efficacy of switching between modalities mid-therapy or having breaks in therapy. This paper presents the case of a patient with long-term health conditions who experienced both breaks in therapy and a switch in modalities from face-to-face to telephone delivery. The intervention used was based on transdiagnostic cognitive behavioral therapy and self-report measures were completed at the beginning and end of the twelve sessions. Despite the shift in modalities, the patient experienced clinically significant recovery on all measures, indicating the efficacy of therapy was not greatly affected by the shift in modalities. Long breaks in therapy were linked to deterioration in mental health, although this could be due to the deterioration in physical health that necessitated these breaks. This case highlights the benefits and challenges of a shifting modality of therapy during treatment and in response to a pandemic for a shielding population. From the work presented here, it seems beneficial for services to be able to work across multiple modalities to suit the needs of the patients and ensure continuity of treatment. It also indicates that pauses in therapy may risk deterioration. Further work is needed to prevent digital exclusion of patients.

A pilot feasibility study of an unguided, internet-delivered cognitive behavioral therapy program for irritable bowel syndrome

BACKGROUND

Irritable bowel syndrome (IBS) is linked with lower health-related quality of life. Cognitive behavioral therapy (CBT) designed for IBS management can improve outcomes but further research of more accessible implementations of this treatment approach for IBS is needed. This study assessed the feasibility of a web-delivered CBT program among adults with IBS to apply to a future clinical trial.

METHODS

Twenty-five participants were randomized to receive an unguided web-based, CBT program for IBS. The primary outcome was changes in IBS symptom severity (IBS Symptom Severity Scale [IBS-SSS]). Secondary outcomes included IBS-specific CBT therapeutic mechanisms of change (GI-specific anxiety, unhelpful IBS behaviors, and GI-focused cognitions) and changes in depressive (Patient Health Questionnaire-9 [PHQ-9]) and anxiety (Generalized Anxiety Disorder-7 scale [GAD-7]) symptom severity.

KEY RESULTS

Among participants randomized to receive web-based CBT, the average baseline IBS-SSS score was 296.3 (SD=100.9). IBS symptom severity significantly improved at 2-month (p < 0.001) and 3-month follow-up (p < 0.0001); the within-group effect size between baseline and 3-month follow-up IBS-SSS scores was large (d = 1.14) and 63.6% experienced a clinically meaningful improvement (ie, ≥50-point IBS-SSS score reduction). GI-specific anxiety symptoms and cognitions significantly improved at 2-month follow-up, as did unhelpful IBS safety behaviors. Additionally, clinically meaningful improvement was observed in depressive and anxiety symptoms at 3-month follow-up among participants with symptoms above the clinical threshold (ie, PHQ-9 ≥ 10 and GAD-7 ≥ 10, respectively) at baseline.

CONCLUSIONS & INFERENCES

These preliminary findings warrant a larger trial to investigate an unguided, web-based CBT for IBS symptom management that is powered to detect between-group treatment effects.

Strengthening the Impact of Digital Cognitive Behavioral Interventions through a Dual Intervention: Proficient Motivational Interviewing-based Health Coaching Plus In-Application Techniques (Preprint)

Background

The COVID-19 pandemic has accelerated the adoption of digital tools to support individuals struggling with their mental health. The use of a digital intervention plus human coaching (“dual” intervention) is gaining momentum in increasing overall engagement in digital cognitive behavioral interventions (dCBIs). However, there is limited insight into the methodologies and coaching models used by those deploying dual interventions. To achieve a deeper understanding, we need to identify and promote effective engagement that leads to clinical outcomes versus simply monitoring engagement metrics. Motivational interviewing (MI) is a collaborative, goal-oriented communication approach that pays particular attention to the language of change and is an effective engagement approach to help people manage mental health issues. However, this approach has been traditionally used for in-person or telephonic interventions, and less is known about the application of MI to digital interventions.

Objective

We sought to provide a dual intervention approach and address multiple factors across two levels of engagement to operationalize a dCBI that combined cognitive behavioral therapy–based techniques and MI-based interactions between the digital health coach (DHC) and user.

Methods

We reviewed hundreds of digital exchanges between DHCs and users to identify and improve training and quality assurance activities for digital interventions.

Results

We tested five hypotheses and found that: (1) users of a dual digital behavioral health intervention had greater engagement levels than users of a noncoached intervention (P<.001); (2) DHCs with a demonstrated competency in applying MI to digital messages had more engaged users, as measured by the DHC-to-user message exchange ratio (P<.001); (3) the DHC-to-user message exchange ratio was correlated with more engagement in app activities (r=0.28, 95% CI 0.23-0.33); (4) DHCs with demonstrated MI proficiency elicited a greater amount of “change talk” from users than did DHCs without MI proficiency (H=25.12, P<.001); and (5) users who were engaged by DHCs with MI proficiency had better clinical outcomes compared to users engaged by DHCs without MI proficiency (P=.02).

Conclusions

To our knowledge, this pilot was the first of its kind to test the application of MI to digital coaching protocols, and it demonstrated the value of MI proficiency in digital health coaching for enhanced engagement and health improvement. Further research is needed to establish coaching models in dCBIs that incorporate MI to promote effective engagement and optimize positive behavioral outcomes.

Association Between Care Utilization and Anxiety Outcomes in an On-Demand Mental Health System: Retrospective Observational Study

Background

Anxiety is an extremely prevalent condition, and yet, it has received notably less attention than depression and other mental health conditions from a research, clinical, and public health perspective. The COVID-19 pandemic has only exacerbated growing concerns about the burden of anxiety due to the confluence of physical health risks, economic stressors, social isolation, and general disruption of daily activities.

Objective

This study examines differences in anxiety outcomes by care modality (coaching, teletherapy and telepsychiatry, and combined care) within an on-demand mental health system. We also explore the association between levels of engagement within each care modality and odds of improvement in symptoms of anxiety.

Methods

We conducted a retrospective observational study of individuals who accessed Ginger, an on-demand mental health system. Data were collected from 1611 Ginger members between January 1, 2018, and December 31, 2019. We used logistic regression to assess the association between care modality and improvement in anxiety symptoms. Within each modality, we assessed the association between level of engagement and improvement.

Results

Of 1611 Ginger members, 761 (47.0%) experienced a decrease in anxiety symptoms, as measured by a change from a positive to a negative 2-item Generalized Anxiety Disorder (GAD-2) screen. Among members who still screened positive at follow-up (865/1611, 53%), a total of 192 members (11.9%) experienced a clinically significant score reduction in the full GAD-7 (ie, a score reduction of >5 points), even though their GAD-2 scores were still positive. All modalities showed increased odds of improvement compared to those who were not engaged with coaching or clinical services (“app-only”). Higher GAD-7 intake scores were also associated with decreased odds of improvement.

Conclusions

This study found increased odds of anxiety improvement for all care modalities compared to those who did not engage in care, with larger effect sizes for higher utilization within all care modalities. Additionally, there is a promising observation that those engaged in combined care (teletherapy and text-based coaching) had the greatest odds of anxiety improvement. Future directions include more detailed classifications of utilization patterns and an exploration of explanations and solutions for lower-utilization members.