Telemedicine Cognitive Behavioral Therapy for Anxiety After Stroke: Proof-of-Concept Randomized Controlled Trial

Effects of internet-based cognitive behavioral therapy on anxiety and depressive symptoms among patients with cardiovascular and cerebrovascular diseases: a systematic review and meta-analysis

Background

This study aimed to evaluate the effectiveness of Internet-based Cognitive Behavioral Therapy (ICBT) in reducing anxiety and depressive symptoms among patients with cardiovascular diseases (CVDs) and to explore how intervention characteristics, such as module number and program duration, influence treatment outcomes.

Methods

A systematic review and meta-analysis were conducted by searching eight databases, including PubMed, Embase, and Cochrane Library, for randomized controlled trials (RCTs) published up to December 2023. Studies involving adult CVD patients with anxiety or depressive symptoms who underwent ICBT interventions were included. Statistical analyses used random-effects models, with subgroup analyses performed to assess the impact of intervention format, module number, and program duration. Sensitivity and publication bias assessments ensured the robustness of the findings.

Results

Eight RCTs with 1177 participants were included. ICBT significantly reduced depressive symptoms (SMD = -0.32, 95% CI [-0.56, -0.08], p < 0.015) and anxiety symptoms (SMD = -0.37, 95% CI [-0.68, -0.06], p < 0.001). Subgroup analysis indicated that self-guided ICBT was more effective than therapist-guided ICBT. Programs with fewer than eight modules were more effective for anxiety, while those with eight or more modules were more effective for depression. Shorter programs (< 9 weeks) were better for anxiety, whereas longer programs (≥ 9 weeks) were more effective for depression.

Conclusions

ICBT is an effective intervention for managing anxiety and depression in CVD patients. Tailoring ICBT interventions based on symptom type, module number, and program duration can optimize outcomes. Future research should explore personalized, long-term strategies to enhance effectiveness and safety.

Pathophysiology, Assessment, and Management of Post-Stroke Cognitive Impairment, Depression, and Fatigue

Post-stroke cognitive impairment, depression, and fatigue are common, persistent, and disabling. This review summarizes current knowledge on the pathophysiology, assessment, and management of these debilitating neuropsychiatric sequelae of stroke. We briefly review evolving knowledge on the neural mechanisms and risk factors for each condition. We describe patient-reported outcome measures and clinician rating techniques that can be used to assist in screening and comprehensive assessment. We then discuss behavioral and pharmacologic management strategies. Heterogeneity of stroke remains a challenge in management and new research is still needed to optimize and personalize treatments for stroke survivors.

New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables

Actigraphy may provide new insights into clinical outcomes and symptom management of patients through passive, continuous data collection. We used the GENEActiv smartwatch to passively collect actigraphy, wrist temperature, and ambient light data from 27 participants after stroke or probable brain transient ischemic attack (TIA) over 42 periods of device wear. We computed 323 features using established algorithms and proposed 25 novel features to characterize sleep and temperature. We investigated statistical associations between the extracted features and clinical outcomes evaluated using clinically validated questionnaires to gain insight into post-stroke recovery. We subsequently fitted logistic regression models to replicate clinical diagnosis (stroke or TIA) and disability due to stroke. The model generalization performance was assessed using a leave-one-subject-out cross validation method with the selected feature subsets, reporting the area under the curve (AUC). We found that several novel features were strongly correlated (|r|>0.3) with stroke symptoms and mental health measures. Using selected novel features, we obtained an AUC of 0.766 to estimate diagnosis and an AUC of 0.749 to estimate whether disability due to stroke was present. Collectively, these findings suggest that features extracted from the temperature smartwatch sensor may reveal additional clinically useful information over and above existing actigraphy-based features.

Palliative care approaches to acute stroke in the hospital setting

Stroke is a prevalent neurologic condition that portends a high risk of morbidity and mortality such that patients impacted by stroke and their caregivers can benefit from palliative care at the time of diagnosis and throughout the disease trajectory. Clinicians who care for stroke patients should be adept at establishing rapport with patients and caregivers, delivering serious news, responding to emotions, discussing prognosis, and establishing goals of care efficiently in an acute stroke setting. Aggressive stroke care can be integrated with a palliative approach to care that involves aligning the available treatment options with a patient's values and goals of care. Reassessing the goals throughout the hospitalization provides an opportunity for continued shared decision-making about the intensity of poststroke interventions. The palliative needs for stroke patients may increase over time depending on the severity of disease, poststroke complications, stroke-related symptoms, and treatment intensity preferences. If the decision is made to transition the focus of care to comfort, the support of an interdisciplinary palliative care or hospice team can be beneficial to the patient, family members, and surrogate decision makers.

Digital divide among individuals with acquired brain injury: a scoping review protocol

OBJECTIVE

This scoping review will identify literature pertaining to individuals with an acquired brain injury and digital divide; specifically, examining personal access and use of internet-enabled information and communication technologies. The review will identify the information and communication technologies used by individuals with an acquired brain injury as well as the determinants of technology use. The review will also identify and create a taxonomy of information and communication technologies utilized in relation to cognitive and psychosocial outcomes for individuals with an acquired brain injury in community and outpatient settings.

INTRODUCTION

Internet-enabled technologies are increasingly central to all aspects of living, including health care and community participation; however, gaps in the access to and use of information and communication technologies among individuals with an acquired brain injury may limit the utility of a digitalized society.

INCLUSION CRITERIA

Studies that focus on access to or use of internet-enabled information and communication technologies among individuals with an acquired brain injury (including stroke, infection, tumor, disease, hypoxia, or traumatic brain injury) will be considered in this review.

METHODS

Primary peer-reviewed studies published in English from 2001 onward will be considered for inclusion. Six electronic databases will be searched: Embase, MEDLINE, Web of Science Core Collection, Google Scholar, CINAHL, and APA PsycINFO. Gray literature searches for government and nongovernment organization reports and data, and dissertation theses will be conducted via advanced Google searches. Two reviewers will independently screen titles, abstracts, and full texts of articles based on the "population, concept, context" inclusion criteria. Relevant data will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR).

Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review

BACKGROUND

Chronic conditions are characterized by their long duration (≥1 year), need for ongoing medical attention, and limitations in activities of daily living. These can often co-occur with depression and anxiety as common and detrimental comorbidities among the growing population living with chronic conditions. Digital health interventions (DHIs) hold promise in overcoming barriers to accessing mental health support for these individuals; however, the design and implementation of DHIs for depression and anxiety in people with chronic conditions are yet to be explored.

OBJECTIVE

This study aimed to explore what is known in the literature regarding DHIs for the prevention, detection, or treatment of depression and anxiety among people with chronic conditions.

METHODS

A scoping review of the literature was conducted using the Arksey and O'Malley framework. Searches of the literature published in 5 databases between 1990 and 2019 were conducted in April 2019 and updated in March 2021. To be included, studies must have described a DHI tested with, or designed for, the prevention, detection, or treatment of depression or anxiety in people with common chronic conditions (arthritis, asthma, diabetes mellitus, heart disease, chronic obstructive pulmonary disease, cancer, stroke, and Alzheimer disease or dementia). Studies were independently screened by 2 reviewers against the inclusion and exclusion criteria. Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research.

RESULTS

Database searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI.

CONCLUSIONS

As a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research.

Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment

Wrist-worn wearable sensors have attracted considerable research interest because of their potential in providing continuous, longitudinal, non-invasive measurements, leading to insights into Physical Activity (PA), sleep, and circadian variability. Three key practical considerations for research-grade wearables are as follows: (a) choosing an appropriate sample rate, (b) summarizing raw three-dimensional accelerometry data for further processing (accelerometry summary measures), and (c) accurately estimating PA levels and sleep towards understanding participants' 24-hour profiles. We used the CAPTURE-24 dataset, where 148 participants concurrently wore a wrist-worn three-dimensional accelerometer and a wearable camera over approximately 24 h to obtain minute-by-minute labels: sleep; and sedentary light, moderate, and vigorous PA. We propose a new acceleration summary measure, the Rate of Change Acceleration Movement (ROCAM), and compare its performance against three established approaches summarizing three-dimensional acceleration data towards replicating the minute-by-minute labels. Moreover, we compare findings where the acceleration data was sampled at 10, 25, 50, and 100 Hz. We demonstrate the competitive advantage of ROCAM towards estimating the five labels (80.2% accuracy) and building 24-hour profiles where the sample rate of 10 Hz is fully sufficient. Collectively, these findings provide insights facilitating the deployment of large-scale longitudinal actigraphy data processing towards 24-hour PA and sleep-profile assessment.

Cognitive Behavioral Therapy: Principles, Science, and Patient Selection in Neurology

Cognitive behavioral therapy (CBT) is a widely used therapeutic modality in general psychiatric practice. In this review, we consider its application to neurological disorders. We examine the basic framework of CBT-that symptoms, emotions, thoughts, and behaviors are all interrelated and that therapeutic interventions that lead to change in thoughts or behavior may have the potential to reduce symptoms or emotional distress. We also outline specific methodological issues to consider when reading or planning studies of CBT interventions, highlighting important topics pertaining to quality control, control group selection, dropouts, and generalizability. We then review the evidence base for CBT's use across a range of neurological disorders. In doing so, we highlight where there is a clear evidence base, and where it is a technique with potential. The review is targeted at a general neurology audience as introduction to the topic not as an advanced guide for expert practitioners.

Intensive rehabilitation for functional motor disorders (FMD) in the United States: A review

BACKGROUND: Higher levels of care in the form of intensive rehabilitation may be appropriate for select patients with a diagnosis of functional motor disorder (FMD). Intensive rehabilitation, as delivered through an outpatient day program or through admission to an inpatient rehabilitation facility, can offer a greater frequency and variety of integrated clinical services than most lower levels of care. OBJECTIVE: Higher levels of rehabilitation for FMD have not yet been well characterized in the literature. In this article, we will focus on the population of FMD patients who begin receiving care in the outpatient setting. METHOD: In this review, we describe a range of options for higher levels of FMD care, evaluate the supporting literature, and weigh the pros and cons of each approach. Several specific examples of intensive rehabilitation programs in the United States will be described. Finally, we will consider existing health systems barriers to each of these outpatient and inpatient higher levels of care. RESULTS: Within a stepped model of care, intensive outpatient day-programs and inpatient rehabilitation may be considered for individuals who present with complex, refractory motor deficits from FMD. For appropriately selected patients, a growing body of literature suggests that time-limited, goal-oriented intensive rehabilitation may provide an effective treatment avenue. CONCLUSION: It remains to be determined whether treatment in intensive care settings, while more costly in the short term, could lead to greater cost savings in the long term. The prospect of telemedicine rehabilitation for FND in terms of efficacy and cost also remains to be determined.

[Recovery of social and everyday skills after a complex of functional spatially oriented rehabilitation in elderly patients with cerebral stroke]

OBJECTIVE

To analyze the effectiveness of social recovery (trip to the store by bus and making purchases) in elderly patients with stroke in the right middle cerebral artery undergoing a course of specialized trainings in a complex of functional spatially oriented rehabilitation.

MATERIAL AND METHODS

The study involved 44 patients with previous stroke (mean age 70.8±3.1 years) randomized into 2 equal groups: main group - basic standard of rehabilitation (exercises with instructor, mechanotherapeutic technique with cyclic simulators, massage of paretic limbs) and training of social adaptation in a complex of functional spatially oriented rehabilitation; control group - basic standard of rehabilitation alone. Duration of rehabilitation course was 14 days. To determine mean norm of timing of complex training of socially significant skill, we asked 23 volunteers without severe comorbidities to perform tasks of functional spatially oriented rehabilitation.

RESULTS

After complex rehabilitation program, we found significant dynamics of time necessary for the following actions: "take a bag and hang it over shoulder", "open the pockets of the bag with a zipper (2 pockets)", "take the jacket off the hanger and put it on", "take the products from the basket and put in the pocket". Moreover, the main group was characterized by significantly lower impairment of daily activity (Barthel score 66.3±4.5 vs. baseline 45.7±4.9, p<0.05), improvement of functional independence (FIM score 76.7±1.5 vs. baseline 65.2±3.1, p>0.05). These values turned out to be significantly better than in the control group.

CONCLUSION

These results indicate the effectiveness of functional spatially oriented rehabilitation in elderly patients with cerebral stroke. This approach increases personal independence in daily life and improves overall quality of life.

Depression, Anxiety, and Suicide After Stroke: A Narrative Review of the Best Available Evidence

Depression and anxiety each affect around 1 in 3 people during the first year after a stroke. Suicide causes the death of about 3 to 4/1000 stroke survivors during the first 5 years. This narrative review describes the best available evidence for the epidemiology of depression, anxiety, and suicide; their prevention; and the treatment of anxiety and depression. We conclude with directions for future research.

Remote patient monitoring after cardiac surgery: The utility of a novel telemedicine system

Objective

We examined cardiac surgery patients who underwent monitoring of postoperative vital parameters using medical monitoring devices which transferred data to a mobile application and a web‐based software.

Methods

From November 2017 to November 2020, a total of 2340 patients were enrolled in the remote patient monitoring system after undergoing cardiac surgery. The medical devices recorded vital parameters, such as blood pressure, pulse rate, saturation, body temperature, blood glucose, and electrocardiography were measured via the Health Monitor DakikApp and Holter ECG DakikApp devices which reported data to web‐based software and a mobile application (DakikApp Mobile Systems, Remscheid, Germany). During the follow‐up period, patients were contacted daily through text and voice messages, and video conferences. Remote Medical Evaluations (RMEs) concerning patients' medical states were performed. Medication reminders, daily treatment were communicated to the patients with the DakikApp Mobile Systems Software.

Results

During a mean follow‐up period of 78.9 ± 107.1 (10–395) days, a total of 135,786 patient contacts were recorded (782 video conferences, 2805 voice messaging, and 132,199 text correspondence). The number of RMEs handled by the Telemedicine Team was 79,560. A total of 105,335 vital parameter measurements were performed and 5024 hospital application requests (6.3% per RME) were addressed successfully and hospitalization was avoided. A total of 144 (6.1%) potentially life‐threatening complications were found to have been diagnosed early using the Telemedicine System.

Conclusion

Remote Patient Monitoring Systems combined with professional medical devices are feasible, effective, and safe for the purpose of improving postoperative outcomes.

Impact of Covid-19 on the Behavior of Community Residents With Suspected Transient Ischemic Attack

Background and Purpose: To investigate the impact of the novel coronavirus disease 2019 (Covid-19) on the behavior of those seeking medical attention for community residents suspected of having had a transient ischemic attack (TIA) during the pandemic.

Methods: This was a community-based cross-sectional study with residents living in two communities located in the suburb of Shanghai. A face-to-face interview was prospectively conducted from 20 May 2020 to 30 June 2020 between community physicians and the community residents. Suspected TIA that occurred during the pandemic was identified by symptoms recalled from the community residents. The behavior of seeking medical attention after the suspected TIA was investigated.

Results: A total of 873 community residents (517 from the Wujing community and 356 from the Maqiao community) took part in face-to-face interviews. Among them, 143 (16.38%) suspected TIA cases were identified. Less than 20% of the community residents suspected of having a TIA went to the hospital during the Covid-19 pandemic. The most common reason for not seeking medical care during the pandemic was still that symptoms disappeared quickly (94.9%); however, the pandemic did have an impact on behavior. Fear of in-hospital infection (55.1%) and of complicated procedures involved in seeking medical attention during the pandemic (55.9%) made community residents hesitate to seek medical attention after the suspected TIA. Residents with a dual attack within 1 week or with aphasia or dysarthria were more likely to seek medical attention during the pandemic.

Conclusion: Our study indicated that the Covid-19 pandemic negatively affected the behavior of those seeking medical attention among community residents with suspected TIA and this might explain part of the reduction in patients presenting with stroke or TIA observed from other reports.