A study on treatment sensitivity of ecological momentary assessment in obsessive-compulsive disorder

Movement Toward Dimensional Symptom Models of Comorbid Obsessive-Compulsive Disorder and Eating Disorders

Obsessive-compulsive disorder (OCD) and eating disorders (EDs) are highly comorbid. Despite the high comorbidity, there is little understanding of why these disorders coexist and even less research on how to best treat this co-occurrence. In this article, we review the literature on comorbid OCD-ED and discuss potential underlying shared mechanisms, including anxiety/avoidance, perfectionism, intolerance of uncertainty, habit formation, disgust, shame and guilt, rumination, metacognitive beliefs, and shared biological characteristics. We then discuss prior models of OCD-ED comorbidity and shift the perspective from latent or categorical models to dimensional symptom models (e.g., network models). We describe how dimensional symptom models could advance the conceptualization, treatment, and prevention of comorbid OCD-ED. Next, we discuss how idiographic (one-person) symptom models could advance personalized treatment and provide a treatment example. Finally, we discuss future research needed to advance the field and improve treatment outcomes.

Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder

Introduction

The present study investigates the feasibility and usability of a sensor-based eHealth treatment in psychotherapy for pediatric obsessive-compulsive disorder (OCD), and explores the promises and pitfalls of this novel approach. With eHealth interventions, therapy can be delivered in a patient's home environment, leading to a more ecologically valid symptom assessment and access to experts even in rural areas. Furthermore, sensors can help indicate a patient's emotional and physical state during treatment. Finally, using sensors during exposure with response prevention (E/RP) can help individualize therapy and prevent avoidance behavior.

Methods

In this study, we developed and subsequently evaluated a multimodal sensor-based eHealth intervention during 14 video sessions of cognitive-behavioral therapy (CBT) in 20 patients with OCD aged 12-18. During E/RP, we recorded eye movements and gaze direction via eye trackers, and an ECG chest strap captured heart rate (HR) to identify stress responses. Additionally, motion sensors detected approach and avoidance behavior.

Results

The results indicate a promising application of sensor-supported therapy for pediatric OCD, such that the technology was well-accepted by the participants, and the therapeutic relationship was successfully established in the context of internet-based treatment. Patients, their parents, and the therapists all showed high levels of satisfaction with this form of therapy and rated the wearable approach in the home environment as helpful, with fewer OCD symptoms perceived at the end of the treatment.

Discussion

The goal of this study was to gain a better understanding of the psychological and physiological processes that occur in pediatric patients during exposure-based online treatment. In addition, 10 key considerations in preparing and conducting sensor-supported CBT for children and adolescents with OCD are explored at the end of the article. This approach has the potential to overcome limitations in eHealth interventions by allowing the real-time transmission of objective data to therapists, once challenges regarding technical support and hardware and software usability are addressed.

Clinical Trial Registration

www.ClinicalTrials.gov, identifier (NCT05291611).

Obsessive-Compulsive Disorder in Children and Adolescents

Obsessive-compulsive disorder (OCD) in children and adolescents is a neurobehavioral condition that can lead to functional impairment in multiple domains and decreased quality of life. We review the clinical presentation, diagnostic considerations, and common comorbidities of pediatric OCD. An overview of the biological and psychological models of OCD is provided along with a discussion of developmental considerations in youth. We also describe evidence-based treatments for OCD in childhood and adolescence, including cognitive behavioral therapy (CBT) with exposure and response prevention (ERP) and pharmacotherapy. Finally, research evaluating the delivery of CBT in different formats and modalities is discussed, and we conclude with suggestions for future research directions.

An ontology of mechanisms of action in behaviour change interventions

Background

Behaviour change interventions influence behaviour through causal processes called "mechanisms of action" (MoAs). Reports of such interventions and their evaluations often use inconsistent or ambiguous terminology, creating problems for searching, evidence synthesis and theory development. This inconsistency includes the reporting of MoAs. An ontology can help address these challenges by serving as a classification system that labels and defines MoAs and their relationships. The aim of this study was to develop an ontology of MoAs of behaviour change interventions.

Methods

To develop the MoA Ontology, we (1) defined the ontology's scope; (2) identified, labelled and defined the ontology's entities; (3) refined the ontology by annotating (i.e., coding) MoAs in intervention reports; (4) refined the ontology via stakeholder review of the ontology's comprehensiveness and clarity; (5) tested whether researchers could reliably apply the ontology to annotate MoAs in intervention evaluation reports; (6) refined the relationships between entities; (7) reviewed the alignment of the MoA Ontology with other relevant ontologies, (8) reviewed the ontology's alignment with the Theories and Techniques Tool; and (9) published a machine-readable version of the ontology.

Results

An MoA was defined as "a process that is causally active in the relationship between a behaviour change intervention scenario and its outcome behaviour". We created an initial MoA Ontology with 261 entities through Steps 2-5. Inter-rater reliability for annotating study reports using these entities was α=0.68 ("acceptable") for researchers familiar with the ontology and α=0.47 for researchers unfamiliar with it. As a result of additional revisions (Steps 6-8), 23 further entities were added to the ontology resulting in 284 entities organised in seven hierarchical levels.

Conclusions

The MoA Ontology extensively captures MoAs of behaviour change interventions. The ontology can serve as a controlled vocabulary for MoAs to consistently describe and synthesise evidence about MoAs across diverse sources.

Duration of daily life activities in persons with and without obsessive-compulsive disorder

Persons with obsessive-compulsive disorder (OCD) are often impaired in their daily level of functioning due to their time-consuming obsessions and/or compulsions. To date, however, studies are lacking that quantify how much time persons with OCD actually spend on activities of daily living. Therefore, the current study assessed 13 daily life activities (in minutes) with a self-report questionnaire in 299 persons with OCD at admission to inpatient treatment and 300 age- and sex-matched persons without OCD. A majority of persons with OCD indicated that they experienced obsessions and/or compulsions when leaving (84%) and cleaning (70%) the apartment, grocery shopping (66%), changing clothes (66%), and showering with (62%) and without (63%) shampooing. Persons with OCD who experienced obsessions and/or compulsions during a given daily life activity-but not those who did not experience obsessions and/or compulsions during these activities-reported longer durations for performing 10 of the 13 activities than persons without OCD. For most activities, longer durations related weakly but significantly to higher OCD symptom severity. Results indicate that the duration of daily life activities seems to depend more on whether persons with OCD experience obsessions and/or compulsions during a specific activity and less on whether a person is diagnosed with OCD in general. Future studies may use other assessment methods that allow for tracking the duration in daily life in real time.

Predicting obsessive-compulsive disorder episodes in adolescents using a wearable biosensor-A wrist angel feasibility study

Introduction

Obsessive-compulsive disorders (OCD) are marked by distress, negative emotions, mental processes and behaviors that are reflected in physiological signals such as heart rate, electrodermal activity, and skin temperature. Continuous monitoring of physiological signals associated with OCD symptoms may make measures of OCD more objective and facilitate close monitoring of prodromal symptoms, treatment progress and risk of relapse. Thus, we explored the feasibility of capturing OCD events in the real world using an unobtrusive wrist worn biosensor and machine learning models.

Methods

Nine adolescents (ages 10-17 years) with mild to moderate-severe OCD were recruited from child and adolescent mental health services. Participants were asked to wear the biosensor in the lab during conditions of rest and exposure to OCD symptom-triggering stimuli and for up to 8 weeks in their everyday lives and register OCD events. We explored the relationships among physiological data, registered OCD events, age, OCD symptom severity and symptom types. In the machine learning models, we considered detection of OCD events as a binary classification problem. A nested cross-validation strategy with either random 10-folds, leave-one-subject-out, or leave-week(s)-out in both layers was used. We compared the performance of four models: logistic regression, random forest (RF), feedforward neural networks, and mixed-effect random forest (MERF). To explore the ability of the models to detect OCD events in new patients, we assessed the performance of participant-based generalized models. To explore the ability of models to detect OCD events in future, unseen data from the same patients, we compared the performance of temporal generalized models trained on multiple patients with personalized models trained on single patients.

Results

Eight of the nine participants collected biosensor signals totaling 2, 405 h and registered 1, 639 OCD events. Better performance was obtained when generalizing across time compared to across patients. Generalized temporal models trained on multiple patients were found to perform better than personalized models trained on single patients. RF and MERF models outperformed the other models in terms of accuracy in all cross-validation strategies, reaching 70% accuracy in random and participant cross-validation.

Conclusion

Our pilot results suggest that it is possible to detect OCD episodes in the everyday lives of adolescents using physiological signals captured with a wearable biosensor. Large scale studies are needed to train and test models capable of detecting and predicting episodes.

Clinical trial registration

ClinicalTrials.gov: NCT05064527, registered October 1, 2021.

Psychometric properties of a daily obsessive-compulsive symptom scale for ecological momentary assessment

Despite growing interest in ecological momentary assessment (EMA) in psychopathology and clinical observation of day-to-day fluctuations in obsessive-compulsive disorder (OCD) symptoms, there is not a standardized EMA measure of such symptoms that can guide systematic research. In the absence of such a measure, prior EMA research in OCD has utilized heterogeneous approaches to sampling momentary and daily OCD symptoms, which limits the ability to compare results between studies. The present study sought to examine the psychometric properties of a daily OCD symptom (d-OCS) measure that assesses common OCD symptom themes (e.g., contamination, checking, intrusive thoughts) in a sample of adults with OCD (n = 20), psychiatric controls (n = 27), and healthy controls (n = 27). Participants completed the d-OCS 3 times per day for 1 week. The d-OCS distinguished those with OCD from psychiatric controls and healthy controls. The d-OCS demonstrated good internal consistency, adequate test-retest reliability, and good convergent validity. These findings offer initial psychometric support for the use of the d-OCS in EMA research examining day-to-day fluctuations in symptoms of OCD. Additional investigation is needed to examine the discriminant validity of the d-OCS and generalize these findings to more diverse samples.

Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review

BACKGROUND

Smartphones and wearable biosensors can continuously and passively measure aspects of behavior and physiology while also collecting data that require user input. These devices can potentially be used to monitor symptom burden; estimate diagnosis and risk for relapse; predict treatment response; and deliver digital interventions in patients with obsessive-compulsive disorder (OCD), a prevalent and disabling psychiatric condition that often follows a chronic and fluctuating course and may uniquely benefit from these technologies.

OBJECTIVE

Given the speed at which mobile and wearable technologies are being developed and implemented in clinical settings, a continual reappraisal of this field is needed. In this scoping review, we map the literature on the use of wearable devices and smartphone-based devices or apps in the assessment, monitoring, or treatment of OCD.

METHODS

In July 2022 and April 2023, we conducted an initial search and an updated search, respectively, of multiple databases, including PubMed, Embase, APA PsycINFO, and Web of Science, with no restriction on publication period, using the following search strategy: ("OCD" OR "obsessive" OR "obsessive-compulsive") AND ("smartphone" OR "phone" OR "wearable" OR "sensing" OR "biofeedback" OR "neurofeedback" OR "neuro feedback" OR "digital" OR "phenotyping" OR "mobile" OR "heart rate variability" OR "actigraphy" OR "actimetry" OR "biosignals" OR "biomarker" OR "signals" OR "mobile health").

RESULTS

We analyzed 2748 articles, reviewed the full text of 77 articles, and extracted data from the 25 articles included in this review. We divided our review into the following three parts: studies without digital or mobile intervention and with passive data collection, studies without digital or mobile intervention and with active or mixed data collection, and studies with a digital or mobile intervention.

CONCLUSIONS

Use of mobile and wearable technologies for OCD has developed primarily in the past 15 years, with an increasing pace of related publications. Passive measures from actigraphy generally match subjective reports. Ecological momentary assessment is well tolerated for the naturalistic assessment of symptoms, may capture novel OCD symptoms, and may also document lower symptom burden than retrospective recall. Digital or mobile treatments are diverse; however, they generally provide some improvement in OCD symptom burden. Finally, ongoing work is needed for a safe and trusted uptake of technology by patients and providers.

Clinical Considerations for an Evidence-Based Assessment for Obsessive-Compulsive Disorder

Obsessive-compulsive disorder (OCD) is an impairing mental health disease, generally beginning in childhood, affecting up to ∼3% of the population. Using evidence-based assessments (EBAs) is the starting point for the accurate diagnosis and treatment of OCD. EBAs consist of structured and semistructured clinician-administered interviews, parent-report and child-report, and self-report for adults. This article details the practical application, psychometric properties, and limitations of available assessments to determine the presence of OCD and evaluate OCD symptom severity. The following reviews measurement of constructs relevant to OCD (ie, insight, family accommodation, impairment) and details considerations for best clinical interview practices.

Mindfulness-based psychotherapy in patients with obsessive-compulsive disorder: A meta-analytical Study

Background/Objective

Obsessive compulsive disorder is a disorder of special relevance in mental health, however, not all patients respond adequately to traditional intervention systems. The present work aims to study the usefulness of mindfulness-based interventions in patients with obsessive compulsive disorder.

Method

An exhaustive search of the literature between 1996 and 2021 allowed us to locate 11 published articles. The effect size was the pretest-posttest standardized mean change calculated for obsession-compulsion, as well as depression symptoms and conscious coping.

Results

he results showed mean effect sizes for mindfulness in the reduction of obsessive-compulsive symptoms (d + = 0.648) and, to a lesser extent, depression (d + = 0.417) and the improvement in Mindfull coping (d + = 0.509). There was no significant decrease in effect size when mindfulness was applied in patients with residual symptoms from previous treatments.

Conclusions

These results are promising regarding the usefulness of the application of intervention programs based on mindfulness in people with obsessive compulsive disorder, both as an alternative option and as a complementary treatment to more traditional intervention formats.

Real-time fluctuations in mindful awareness, willingness, and values clarity, and their associations with craving and dietary lapse among those seeking weight loss

Background

Mindful awareness, willingness and values clarity have been examined as protective factors across a wide range of problems, including overweight/obesity. However, these variables have almost exclusively been examined at the trait-level. It is possible that these variables also fluctuate within individuals in daily life, and that these intraindividual fluctuations may in turn be related to food craving and dietary lapse. The current study used ecological momentary assessment (EMA) to examine the extent to which momentary mindful awareness, willingness, and values clarity varied within-person, and were associated with craving and likelihood of dietary lapse among weight-loss seeking individuals with overweight/obesity prior to starting a weight loss program. We also examined the extent to which craving was associated with dietary lapse.

Methods

Adults with overweight/obesity (N = 126) completed one week of EMA prior to enrolling in a randomized controlled trial of behavioral weight loss treatments. They responded to EMA questions assessing dietary lapses, craving, mindful awareness, willingness, and values clarity six-times per day.

Results

Mindful awareness, willingness, and values clarity demonstrated substantial within-person variability, and higher within-person mindful awareness, willingness, and values clarity were concurrently (but not prospectively) associated with lower craving and likelihood of dietary lapse. Higher craving was concurrently (but not prospectively) associated with higher likelihood of dietary lapse. Between-person, higher mindful awareness, willingness, and values clarity were associated with lower craving and likelihood of dietary lapse, and higher craving was associated with greater frequency of dietary lapses.

Conclusion

Mindful awareness, willingness, and values clarity vary substantially at the daily level, and may be important mechanisms to target to reduce craving and dietary lapses in the daily lives of individuals with overweight/obesity.

Lifestyle Interventions in the Treatment of Obsessive-Compulsive and Related Disorders: A Systematic Review

OBJECTIVE

Lifestyle medicine is increasingly important in psychiatry for its efficacy as a transdiagnostic treatment, its preventative potential, and its increased tolerability compared with first-line strategies. Although the impact of lifestyle medicine is strong across many psychiatric illnesses, our understanding of the effectiveness of lifestyle interventions in treating obsessive-compulsive and related disorders (OCRDs) is minimal. We aimed to conduct a systematic review examining the effect of lifestyle interventions (targeting diet, exercise, sleep, stress management, and tobacco/alcohol use) on OCRD symptoms.

METHODS

We systematically searched four electronic databases for published randomized controlled trials reporting on lifestyle interventions for OCRDs. We qualitatively synthesized results of eligible studies and calculated mean changes in symptom severity from baseline to end point and standardized between-group effect sizes.

RESULTS

We identified 33 eligible studies. Poor efficacy was noted across a number of rigorous dietary supplement interventions with some promising data in four (of six) studies regarding N-acetylcysteine for trichotillomania, skin picking, and obsessive-compulsive disorder. Stress management interventions, generally characterized by high risk of bias, reported mild effectiveness with greater effects noted for mind-body exercises (yoga) for obsessive-compulsive disorder. Greater improvements may be achieved when lifestyle intervention is adjunct to first-line treatments and delivered by facilitators.

CONCLUSIONS

Diet (particularly N-acetylcysteine) and stress management interventions seem promising avenues for OCRDs treatment. We present an action plan to move the lifestyle interventions for OCRDs field forward. Further high-quality lifestyle interventions are required to improve the certainty of findings and to inform clinical treatment guidelines.Review Registration Number: CRD42020151407.

Comparing effects of detached mindfulness and cognitive restructuring in obsessive-compulsive disorder using ecological momentary assessment

Ecological momentary assessment (EMA) has been shown to be a valid and sensitive measure of treatment effects in obsessive-compulsive disorder (OCD). As part of a clinical trial, this EMA study deals with a comparison of two treatment conditions, that is, cognitive restructuring (CR) and detached mindfulness (DM). EMA data from n = 39 OCD patients were available from a randomized clinical trial on the effectiveness of CR and DM. Smartphone-based EMA sampling spread over 4 days each before and after treatment, with 10 random prompts per day and a 2-week intervention of either CR or DM. We tracked CR strategies (e.g., questioning an appraisal by re-evaluating risk), DM strategies (e.g., allowing one's thoughts to come and go), and application of newly learned strategies during Post-Treatment EMA. Although there was a trend towards DM strategies being applied more often during Pre-Treatment EMA than CR strategies, we did not find differences during Post-Treatment EMA between CR and DM regarding frequency or difficulty of application and experienced relief. As expected, we found a clear pre-post increase for all CR and DM behaviours except for one DM item. However, we did not find a treatment-specific increase of CR and DM behaviours; that is, both interventions equally well promoted a seemingly general treatment effect. Despite the ecological validity of EMA, however, social desirability effects cannot be ruled out, so that this conclusion must be handled cautiously. Further research is needed to replicate and generalize our results.