The computerized cognitive training alliance - A proposal for a therapeutic alliance model for home-based computerized cognitive training

Identifying central elements of the therapeutic alliance in the setting of telerehabilitation: A qualitative study

INTRODUCTION

Therapeutic alliance is a relevant aspect of healthcare and may influence patient outcomes. So far, little is known about the therapeutic alliance in telerehabilitation.

PURPOSE

To identify and describe central elements of therapeutic alliance in the setting of telerehabilitation and compare it to those in conventional rehabilitation.

METHODS

In this qualitative study, a literature search and in-depth semi-structured interviews with rehabilitation and telerehabilitation experts were conducted from 15.5.-10.8.2020 on elements influencing the therapeutic alliance in rehabilitation and telerehabilitation. Using a combined deductive and inductive approach, qualitative content analysis was used to identify categories and derive central themes.

RESULTS

The elements bond, communication, agreement on goals and tasks and external factors were identified in the literature search and informed the development of the interview guide. Twelve purposively sampled experts from the fields of physiotherapy, occupational therapy, speech and language therapy, psychology, general medicine, sports science and telerehabilitation software development participated in the interviews. We identified three central themes: building effective communication; nurturing a mutual relationship of trust and respect; and agreement on goals and tasks and drivers of motivation.

CONCLUSIONS

In this qualitative study, key elements of therapeutic alliance in rehabilitation confirmed those reported in the literature, with additional elements in telerehabilitation comprising support from others for ensuring physical safety and technical connectedness, caregivers acting as co-therapists and applying professional touch, and promoting patient autonomy and motivation using specific strategies.

Factors that influence the provision of home-based rehabilitation services for people needing rehabilitation: a qualitative evidence synthesis

BACKGROUND

To increase people's access to rehabilitation services, particularly in the context of the COVID-19 pandemic, we need to explore how the delivery of these services can be adapted. This includes the use of home-based rehabilitation and telerehabilitation. Home-based rehabilitation services may become frequently used options in the recovery process of patients, not only as a solution to accessibility barriers, but as a complement to the usual in-person inpatient rehabilitation provision. Telerehabilitation is also becoming more viable as the usability and availability of communication technologies improve.

OBJECTIVES

To identify factors that influence the organisation and delivery of in-person home-based rehabilitation and home-based telerehabilitation for people needing rehabilitation.

SEARCH METHODS

We searched PubMed, Global Health, the VHL Regional Portal, Epistemonikos, Health Systems Evidence, and EBM Reviews as well as preprints, regional repositories, and rehabilitation organisations websites for eligible studies, from database inception to search date in June 2022.  SELECTION CRITERIA: We included studies that used qualitative methods for data collection and analysis; and that explored patients, caregivers, healthcare providers and other stakeholders' experiences, perceptions and behaviours about the provision of in-person home-based rehabilitation and home-based telerehabilitation services responding to patients' needs in different phases of their health conditions.   DATA COLLECTION AND ANALYSIS: We used a purposive sampling approach and applied maximum variation sampling in a four-step sampling frame. We conducted a framework thematic analysis using the CFIR (Consolidated Framework for Implementation Research) framework as our starting point. We assessed our confidence in the findings using the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach.  MAIN RESULTS: We included 223 studies in the review and sampled 53 of these for our analysis. Forty-five studies were conducted in high-income countries, and eight in low-and middle-income countries. Twenty studies addressed in-person home-based rehabilitation, 28 studies addressed home-based telerehabilitation services, and five studies addressed both modes of delivery. The studies mainly explored the perspectives of healthcare providers, patients with a range of different health conditions, and their informal caregivers and family members.  Based on our GRADE-CERQual assessments, we had high confidence in eight of the findings, and moderate confidence in five, indicating that it is highly likely or likely respectively that these findings are a reasonable representation of the phenomenon of interest. There were two findings with low confidence. High and moderate confidence findings Home-based rehabilitation services delivered in-person or through telerehabilitation  Patients experience home-based services as convenient and less disruptive of their everyday activities. Patients and providers also suggest that these services can encourage patients' self-management and can make them feel empowered about the rehabilitation process. But patients, family members, and providers describe privacy and confidentiality issues when services are provided at home. These include the increased privacy of being able to exercise at home but also the loss of privacy when one's home life is visible to others.  Patients and providers also describe other factors that can affect the success of home-based rehabilitation services. These include support from providers and family members, good communication with providers, the requirements made of patients and their surroundings, and the transition from hospital to home-based services. Telerehabilitation specifically Patients, family members and providers see telerehabilitation as an opportunity to make services more available. But providers point to practical problems when assessing whether patients are performing their exercises correctly. Providers and patients also describe interruptions from family members.  In addition, providers complain of a lack of equipment, infrastructure and maintenance and patients refer to usability issues and frustration with digital technology. Providers have different opinions about whether telerehabilitation is cost-efficient for them. But many patients see telerehabilitation as affordable and cost-saving if the equipment and infrastructure have been provided. Patients and providers suggest that telerehabilitation can change the nature of their relationship. For instance, some patients describe how telerehabilitation leads to easier and more relaxed communication. Other patients describe feeling abandoned when receiving telerehabilitation services.  Patients, family members and providers call for easy-to-use technologies and more training and support. They also suggest that at least some in-person sessions with the provider are necessary. They feel that telerehabilitation services alone can make it difficult to make meaningful connections. They also explain that some services need the provider's hands. Providers highlight the importance of personalising the services to each person's needs and circumstances.

AUTHORS' CONCLUSIONS

This synthesis identified several factors that can influence the successful implementation of in-person home-based rehabilitation and telerehabilitation services. These included factors that facilitate implementation, but also factors that can challenge this process. Healthcare providers, program planners and policymakers might benefit from considering these factors when designing and implementing programmes.

Cognitive Computerized Training for Older Adults and Patients with Neurological Disorders: Do the Amount and Training Modality Count? An Umbrella Meta-Regression Analysis

Numerous applications have been created to train cognition and challenge the brain, a process known as computerized cognitive training (CCT). Despite potential positive results, important questions remain unresolved: the appropriate training duration, the efficacy of CCT depending on its type (commercial or developed in-house for the rehabilitation of specific patients) and delivery mode (at-home or on-site), and the patients most likely to benefit such intervention. This study aims to perform an umbrella meta-analysis and meta-regression to determine if the type of CCT, the delivery mode, the amount of training, and participants' age at inclusion influence the improvement of the cognitive function. To do so, we performed a umbrella meta-analysis. One hundred studies were included in this analysis representing 6407 participants. Statistical improvements were found for the different conditions after the training. We do not find statistical difference between the type of intervention or the delivery mode. No dose-response relationship between the total amount of training and the improvement of cognitive functions was found. CCT is effective in improving cognitive function in patients suffering from neurological conditions and in healthy aging. There is therefore an urgent need for health care systems to recognize its therapeutic potential and to evaluate at a larger scale their integration into the clinical pipeline as preventive and rehabilitation tool.

Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review

BACKGROUND

Robotic therapy (RT) has been internationally recognized for the motor rehabilitation of the upper limb. Although it seems that RT can stimulate and promote neuroplasticity, the effectiveness of robotics in restoring cognitive deficits has been considered only in a few recent studies.

OBJECTIVE

To verify whether, in the current state of the literature, cognitive measures are used as inclusion or exclusion criteria and/or outcomes measures in robotic upper limb rehabilitation in stroke patients.

METHODS

The systematic review was conducted according to PRISMA guidelines. Studies eligible were identified through PubMed/MEDLINE and Web of Science from inception to March 2021.

RESULTS

Eighty-one studies were considered in this systematic review. Seventy-three studies have at least a cognitive inclusion or exclusion criteria, while only seven studies assessed cognitive outcomes.

CONCLUSION

Despite the high presence of cognitive instruments used for inclusion/exclusion criteria their heterogeneity did not allow the identification of a guideline for the evaluation of patients in different stroke stages. Therefore, although the heterogeneity and the low percentage of studies that included cognitive outcomes, seemed that the latter were positively influenced by RT in post-stroke rehabilitation. Future larger RCTs are needed to outline which cognitive scales are most suitable and their cut-off, as well as what cognitive outcome measures to use in the various stages of post-stroke rehabilitation.

What role for cognitive remediation in the treatment of depressive symptoms? A superiority and noninferiority meta-analysis for clinicians

BACKGROUND

Cognitive remediation (CR) is a promising technique in the treatment of the cognitive dimension of depression. The present study evaluated the potential of CR in treating depressive symptoms and provides practical information about its usefulness in clinical settings.

METHODS

We performed two meta-analyses of published randomized (and nonrandomized) clinical trials, comparing CR to control conditions in subjects with current depressive symptomatology. The superiority meta-analysis aimed to determine the superiority of CR when compared with placebo/waiting list interventions and its efficacy when used as an augmentation therapy. The noninferiority meta-analysis determined whether CR had noninferior efficacy compared with standard antidepressant interventions.

RESULTS

CR was found to significantly improve depressive symptomatology in the superiority meta-analysis (CR: n = 466, control n = 478). Moreover, CR seemed to be noninferior to standard antidepressant interventions (CR: n = 230, control n = 235). CR was more effective when addressing hot (vs. cold) cognition, when involving younger patients (i.e., <30 years), and in the case of mild-moderate (vs. severe) depression.

CONCLUSIONS

CR should be considered an augmentation treatment to improve treatment outcomes in depressed subjects, especially among young individuals. Interventions addressing hot cognition seem to be the most promising.

COVID-19 and Dementia; Hard to Forget Yet Haunting Forgetfulness!

The current pandemic has affected almost everyone worldwide. Although the majority of people survive the illness, bad cognitive repercussions might last a long time, resulting in a lower quality of life and disability, particularly in severe cases. We tried to understand and bring together the various possible mechanisms leading to dementia in COVID-19. The link between COVID-19 and dementia will help public health workers plan and allocate resources to provide better care for a community suffering from sickness and improve quality of life. A conceptual framework for care of infected people in the older age group and care of dementia people is proposed.

Toward Personalized Web-Based Cognitive Rehabilitation for Patients With Ischemic Stroke: Elo Rating Approach

Background

Stroke is a worldwide cause of disability; 40% of stroke survivors sustain cognitive impairments, most of them following inpatient rehabilitation at specialized clinical centers. Web-based cognitive rehabilitation tasks are extensively used in clinical settings. The impact of task execution depends on the ratio between the skills of the treated patient and the challenges imposed by the task itself. Thus, treatment personalization requires a trade-off between patients’ skills and task difficulties, which is still an open issue. In this study, we propose Elo ratings to support clinicians in tasks assignations and representing patients’ skills to optimize rehabilitation outcomes.

Objective

This study aims to stratify patients with ischemic stroke at an early stage of rehabilitation into three levels according to their Elo rating; to show the relationships between the Elo rating levels, task difficulty levels, and rehabilitation outcomes; and to determine if the Elo rating obtained at early stages of rehabilitation is a significant predictor of rehabilitation outcomes.

Methods

The PlayerRatings R library was used to obtain the Elo rating for each patient. Working memory was assessed using the DIGITS subtest of the Barcelona test, and the Rey Auditory Verbal Memory Test (RAVLT) was used to assess verbal memory. Three subtests of RAVLT were used: RAVLT learning (RAVLT075), free-recall memory (RAVLT015), and recognition (RAVLT015R). Memory predictors were identified using forward stepwise selection to add covariates to the models, which were evaluated by assessing discrimination using the area under the receiver operating characteristic curve (AUC) for logistic regressions and adjusted R² for linear regressions.

Results

Three Elo levels (low, middle, and high) with the same number of patients (n=96) in each Elo group were obtained using the 50 initial task executions (from a total of 38,177) for N=288 adult patients consecutively admitted for inpatient rehabilitation in a clinical setting. The mid-Elo level showed the highest proportions of patients that improved in all four memory items: 56% (54/96) of them improved in DIGITS, 67% (64/96) in RAVLT075, 58% (56/96) in RAVLT015, and 53% (51/96) in RAVLT015R (P<.001). The proportions of patients from the mid-Elo level that performed tasks at difficulty levels 1, 2, and 3 were 32.1% (3997/12,449), 31.% (3997/12,449), and 36.9% (4595/12,449), respectively (P<.001), showing the highest match between skills (represented by Elo level) and task difficulties, considering the set of 38,177 task executions. Elo ratings were significant predictors in three of the four models and quasi-significant in the fourth. When predicting RAVLT075 and DIGITS at discharge, we obtained R²=0.54 and 0.43, respectively; meanwhile, we obtained AUC=0.73 (95% CI 0.64-0.82) and AUC=0.81 (95% CI 0.72-0.89) in RAVLT075 and DIGITS improvement predictions, respectively.

Conclusions

Elo ratings can support clinicians in early rehabilitation stages in identifying cognitive profiles to be used for assigning task difficulty levels.

Programmed neurocognitive training: proposal of a new approach

PURPOSE

The efficacy studies of neurocognitive training have focused on the components of the programmes and general methodological questions, not presenting a rationale for the individualization of the intervention, even though this is an essential factor for efficacy. The main objective of this manuscript is to propose a framework for the individual planning of neurocognitive training sessions based on the results of neuropsychological assessment.

METHODS

The proposed framework is coined Branched Programmed Neurocognitive Training (BPNT). BPNT is based on the programmed learning approach and inspired on the Luria's neurocognitive model. The main premises of this framework are the interdependence and hierarchical organization of the cognitive functions, and the individualization of neurocognitive training with multiple patient-tailored paths.

RESULTS

The BPNT framework provides guidelines for planning an individualized neurocognitive training in four stages.

CONCLUSIONS

The potential advantages of this proposal are discussed at various levels, including the role of reward in neurocognitive training and the potential effects of the model on the maintenance and generalization of intervention results. The BPNT framework can be used as an algorithm for the development and adaptation of paper and pencil programmes, as well as computerized rehabilitation platforms. Studies are in place to examine the feasibility of this framework.Implications for rehabilitationIndividualized neurocognitive training guided by neuropsychological assessment is most likely to be effective.Branched Programmed Neurocognitive Training (BPNT) model provides guidelines to organize the neurocognitive training based on the results of neuropsychological assessment.BPNT is based on the programmed learning model and the Luria neurocognitive model, addresses the role of reward in neurocognitive training and considers the fundamental principle of Errorless Learning.BPNT can be used as an algorithm for the development and adaptation of paper and pencil programmes and computerized rehabilitation platforms.

The use of commercial computerised cognitive games in older adults: a meta-analysis

Brain training programs are currently one effective solution to prevent cognitive decline in healthy aging. We conducted a meta-analysis of randomized controlled trials assessing the use of commercially available computerised cognitive games to improve cognitive function in people aged above 60 years old without cognitive impairment. 1,543 participants from sixteen studies were included in the meta-analysis. Statistically significant improvements were observed for processing speed (SMD increased 0.40 [95% CI 0.20-0.60], p < 0.001), working memory (0.21 [95% CI 0.08-0.34], p = 0.001), executive function (0.21 [95% CI 0.06-0.35], p = 0.006), and for verbal memory (0.12 [95% CI 0.01-0.24, p = 0.031), but not for attention or visuospatial abilities. No relationship between the age of the participants and the amount of training was found. Commercially available computerised cognitive games are effective in improving cognitive function in participants without cognitive impairment aged over 60 years.