Towards conceptual convergence: A systematic review of psychological resilience in family caregivers of persons living with chronic neurological conditions.

BACKGROUND: The demand for family caregiving in persons with chronic neurological conditions (CNCs) is increasing. Psychological resilience may empower and protect caregivers in their role. Thus, a synthesis of resilience evidence within this specific population is warranted. AIM: In this systematic review we aimed to: (1) examine the origins and conceptualizations of resilience; (2) summarize current resilience measurement tools; and (3) synthesize correlates, predictors and outcomes of resilience in family caregivers of persons with CNCs. DESIGN: We sourced English articles published up to July 2020 across five databases using search terms involving CNCs, family caregivers and resilience. RESULTS: A total of 50 studies were retained. Nearly half (44%) of the studies used trait-based resilience definitions, while about one third (36%) used process-based definitions. Twelve different resilience scales were used, revealing mostly moderate to high-resilience levels. Findings confirmed that resilience is related to multiple indicators of healthy functioning (e.g., quality of life, social support, positive coping), as it buffers against negative outcomes of burden and distress. Discordance relating to the interaction between resilience and demographic, sociocultural and environmental factors was apparent. CONCLUSIONS: Incongruity remains with respect to how resilience is defined and assessed, despite consistent definitional concepts of healthy adaptation and equilibrium. The array of implications of resilience for well-being confirms the potential for resilience to be leveraged within caregiver health promotion initiatives via policy and practice. PATIENT OR PUBLIC CONTRIBUTION: The findings may inform future recommendations for researchers and practitioners to develop high-quality resilience-building interventions and programmes to better mobilize and support this vulnerable group.

Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review.

INTRODUCTION: The use of machine learning (ML) techniques in healthcare encompasses an emerging concept that envisages vast contributions to the tackling of rare diseases. In this scenario, amyotrophic lateral sclerosis (ALS) involves complexities that are yet not demystified. In ALS, the biomedical signals present themselves as potential biomarkers that, when used in tandem with smart algorithms, can be useful to applications within the context of the disease. METHODS: This Systematic Literature Review (SLR) consists of searching for and investigating primary studies that use ML techniques and biomedical signals related to ALS. Following the definition and execution of the SLR protocol, 18 articles met the inclusion, exclusion, and quality assessment criteria, and answered the SLR research questions. DISCUSSIONS: Based on the results, we identified three classes of ML applications combined with biomedical signals in the context of ALS: diagnosis (72.22%), communication (22.22%), and survival prediction (5.56%). CONCLUSIONS: Distinct algorithmic models and biomedical signals have been reported and present promising approaches, regardless of their classes. In summary, this SLR provides an overview of the primary studies analyzed as well as directions for the construction and evolution of technology-based research within the scope of ALS.

Digital Alternative Communication for Individuals with Amyotrophic Lateral Sclerosis: What We Have.

Amyotrophic Lateral Sclerosis is a disease that compromises the motor system and the functional abilities of the person in an irreversible way, causing the progressive loss of the ability to communicate. Tools based on Augmentative and Alternative Communication are essential for promoting autonomy and improving communication, life quality, and survival. This Systematic Literature Review aimed to provide evidence on eye-image-based Human-Computer Interaction approaches for the Augmentative and Alternative Communication of people with Amyotrophic Lateral Sclerosis. The Systematic Literature Review was conducted and guided following a protocol consisting of search questions, inclusion and exclusion criteria, and quality assessment, to select primary studies published between 2010 and 2021 in six repositories: Science Direct, Web of Science, Springer, IEEE Xplore, ACM Digital Library, and PubMed. After the screening, 25 primary studies were evaluated. These studies showcased four low-cost, non-invasive Human-Computer Interaction strategies employed for Augmentative and Alternative Communication in people with Amyotrophic Lateral Sclerosis. The strategies included Eye-Gaze, which featured in 36% of the studies; Eye-Blink and Eye-Tracking, each accounting for 28% of the approaches; and the Hybrid strategy, employed in 8% of the studies. For these approaches, several computational techniques were identified. For a better understanding, a workflow containing the development phases and the respective methods used by each strategy was generated. The results indicate the possibility and feasibility of developing Human-Computer Interaction resources based on eye images for Augmentative and Alternative Communication in a control group. The absence of experimental testing in people with Amyotrophic Lateral Sclerosis reiterates the challenges related to the scalability, efficiency, and usability of these technologies for people with the disease. Although challenges still exist, the findings represent important advances in the fields of health sciences and technology, promoting a promising future with possibilities for better life quality.

The effect of exercise on walking economy in patients with chronic neurological conditions: A systematic review and meta-analysis.

Introduction: To investigate the effect of exercise on the walking economy (WE) of patients with chronic neurological conditions (CNCs) and to determine the type of physical activity that best improves the WE of patients with CNCs. Methods: Four electronic databases were searched until December 2022 (Web of Science, PubMed, Cochrane, and CINAHL). Studies were screened using the following inclusion criteria: 1. randomized controlled or non-randomized controlled trials; 2. exercise interventions >4 weeks in duration; 3. patients aged ≥18 years with a diagnosis of CNCs. 4. walking economy of patients measured before and after the intervention. The PEDro scale was used to assess the methodological quality of the included studies. Results and discussion: Twenty-two studies met the inclusion criteria. Meta-analysis results showed that exercise significantly improved WE (g = -0.352, 95% CI, -0.625 to -0.078, P = 0.012). Subgroup analysis revealed that patients who received exercise showed better WE compared with those who underwent no control intervention (g = -0.474, 95% CI, -0.636 to -0.311, P < 0.001). However, exercise therapy did not show a significant improvement of WE compared with control groups (g = -0.192, 95% CI, -0.451 to 0.067, P = 0.146). In addition, we found that endurance combined with resistance, high-intensity intermittent, and other training modalities resulted in better WE compared with the pre-intervention. Of these, interval training has the greatest effect on improving WE. In conclusion, exercise can improve WE in patients with CNCs. More randomized controlled trials are necessary for the future. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022361455, identifier: CRD42022361455.

Neuropsychological Disability: A Hidden Epidemic of Neurological Conditions.

Many neurological conditions may result in long-term disability. The measures of prevalence and mortality vastly understate the disability they cause. In the Persons with Disabilities Act 1995 (equal opportunities, protection of rights, and full participation), neurological conditions are ignored. Although Indian Disability Evaluation and Asessment Scale (IDEAS), which assesses psychiatric conditions, does include dementia as one of the neurodegenerative conditions. Additionally, according to the global burden of disease report, 33% of years lived with neurological disability and 13% of disability-adjusted life years (DALYs) are due to neurological and psychiatric disorders. In 2001, the World Health Organization (WHO) established a new definition of disability, declaring it an umbrella term with the following three major components; 1) impairments: problems in body function or structure, 2) activity limitations: difficulties encountered by a person in executing a task or action, and 3) participation restrictions: problems of involvement in life situations experienced by a person. Hence, an attempt was made to rectify the above concerns. To address the above mentioned concerns, we think that there is a need of a comprehensive format for neurological disabilities assessment which would also include objective neuropsychological assessments. As future directions, national level meetings are required to formulate 'Indian Standard Track for Assessing Neurological Disability' (I-STAND) and uniform guidelines for disability assessment in 'chronic neurological conditions' with a special focus on "neuropsychological disability".