The aim of the study was to develop a comprehensive questionnaire for assessing resilience in patients with stroke during rehabilitation and examine the questionnaire's reliability and validity.

A four-phased design was used to develop and validate the questionnaire.

The preliminary items of the Resilience Questionnaire for Stroke Rehabilitation (RQSR) were generated through a literature review and a qualitative study. Twenty experts were consulted for content validation and modification of the questionnaire. A pilot study was conducted with 55 patients with stroke. A total of 510 participants from seven rehabilitation centers or hospitals were subsequently recruited to examine the psychometric properties of the RQSR.

The RQSR consists of 35 items within three dimensions. Dimensions include effective rehabilitation training, accessible support system, and appropriate self-regulation. The content validity index of the total questionnaire was .9335. Seven factors were derived through factor analysis, and cumulative contribution rate of variance was 65.455%. Cronbach's alpha of the total questionnaire was .957, with each dimension ranging from .731 to .918, demonstrating high levels of reliability.

The RQSR has sound reliability and validity and can be used as an appropriate tool for assessing resilience for patients with stroke during rehabilitation to facilitate effective interventions.
The RQSR has sound reliability and validity and can be used as an appropriate tool for assessing resilience for patients with stroke during rehabilitation to facilitate effective interventions.
The purpose of this study was to test the reliability and validity of the Function-Focused Care Checklist for Caregivers using Rasch analysis.

This was a descriptive study using data from the study "Testing the Dissemination and Implementation of Function-Focused Care for Assisted Living Using the Evidence Integration Triangle." The study was approved by a university institutional review board.

A Rasch analysis was completed, which included 691 staff-resident observations from 85 assisted living facilities.

There was evidence of internal consistency (alpha coefficient of .93), construct validity except for a high OUTFIT statistic for wheelchair mobility, and hypothesis testing based on an increase in performance of function-focused care by caregivers over 12 months.

The findings provided psychometric support for the measure and guidance for revisions.

This measure can be used clinically to teach caregivers to provide function-focused care to residents in assisted living.
This measure can be used clinically to teach caregivers to provide function-focused care to residents in assisted living.
Mechanism-based classification of pain has been advocated widely to aid tailoring of interventions for individuals experiencing persistent musculoskeletal pain. Three pain mechanism categories (PMCs) are defined by the International Association for the Study of Pain nociceptive, neuropathic, and nociplastic pain. Discrimination between them remains challenging. This study aimed to build on a framework developed to converge the diverse literature of PMCs to systematically review methods purported to discriminate between them; synthesise and thematically analyse these methods to identify the convergence and divergence of opinion; and report validation, psychometric properties, and strengths/weaknesses of these methods. The search strategy identified articles discussing methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system. Studies that assessed the validity of methods to discriminate between categories were assessed for quality. https://www.selleckchem.com/products/Paclitaxel(Taxol).html Extraction and thematic anonnaires. Few methods have been validated for discrimination between PMCs. There was general convergence but some disagreement regarding findings that discriminate between PMCs. A combination of features and methods, rather than a single method, was generally recommended to discriminate between PMCs. Two major limitations were identified an overlap of findings of methods between categories due to mixed presentations and many methods considered discrimination between 2 PMCs but not others. The results of this review provide a foundation to refine methods to differentiate mechanisms for musculoskeletal pain.
The personalization of neuropathic pain treatment could be improved by identifying specific sensory phenotypes (ie, specific combinations of symptoms and signs) predictive of the response to different classes of drugs. A simple and reliable phenotyping method is required for such a strategy. We investigated the utility of an algorithm for stratifying patients into clusters corresponding to specific combinations of neuropathic symptoms assessed with the Neuropathic Pain Symptom Inventory (NPSI). Consistent with previous results, we first confirmed, in a cohort of 628 patients, the existence of a structure consisting of 3 clusters of patients characterized by higher NPSI scores for pinpointed pain (cluster 1), evoked pain (cluster 2), or deep pain (cluster 3). From these analyses, we derived a specific algorithm for assigning each patient to one of these 3 clusters. We then assessed the clinical relevance of this algorithm for predicting treatment response, through post hoc analyses of 2 previous controlled tand performed a preliminary validation of a web-based version of the NPSI and algorithm for the stratification of patients in both research and daily practice.
A common experimental neurophysiological method to study synaptic plasticity is pairing activity of somatosensory afferents and motor cortical circuits, so-called paired associative stimulation (PAS). Dysfunctional inhibitory and excitatory PAS mechanisms within the sensorimotor system were described in patients with migraine without aura (MO) between attacks. We have recently observed that the same bidirectional PAS rules also apply to the visual system. Here, we have tested whether dysfunctioning associative plasticity might characterize the visual system of patients with MO. In 14 patients with MO between attacks and in 15 healthy volunteers, we performed a previously validated visual PAS (vPAS) protocol by coupling 90 black-and-white checkerboard reversals with low-frequency transcranial magnetic stimulation pulses over the occipital cortex at 2 interstimulus intervals of -25/+25 ms around the visual-evoked potential (VEP) P1 latency. We recorded VEPs (600 sweeps) before, immediately after, and 10 min after each vPAS session.
The aim of the study was to develop a comprehensive questionnaire for assessing resilience in patients with stroke during rehabilitation and examine the questionnaire's reliability and validity. A four-phased design was used to develop and validate the questionnaire. The preliminary items of the Resilience Questionnaire for Stroke Rehabilitation (RQSR) were generated through a literature review and a qualitative study. Twenty experts were consulted for content validation and modification of the questionnaire. A pilot study was conducted with 55 patients with stroke. A total of 510 participants from seven rehabilitation centers or hospitals were subsequently recruited to examine the psychometric properties of the RQSR. The RQSR consists of 35 items within three dimensions. Dimensions include effective rehabilitation training, accessible support system, and appropriate self-regulation. The content validity index of the total questionnaire was .9335. Seven factors were derived through factor analysis, and cumulative contribution rate of variance was 65.455%. Cronbach's alpha of the total questionnaire was .957, with each dimension ranging from .731 to .918, demonstrating high levels of reliability. The RQSR has sound reliability and validity and can be used as an appropriate tool for assessing resilience for patients with stroke during rehabilitation to facilitate effective interventions. The RQSR has sound reliability and validity and can be used as an appropriate tool for assessing resilience for patients with stroke during rehabilitation to facilitate effective interventions. The purpose of this study was to test the reliability and validity of the Function-Focused Care Checklist for Caregivers using Rasch analysis. This was a descriptive study using data from the study "Testing the Dissemination and Implementation of Function-Focused Care for Assisted Living Using the Evidence Integration Triangle." The study was approved by a university institutional review board. A Rasch analysis was completed, which included 691 staff-resident observations from 85 assisted living facilities. There was evidence of internal consistency (alpha coefficient of .93), construct validity except for a high OUTFIT statistic for wheelchair mobility, and hypothesis testing based on an increase in performance of function-focused care by caregivers over 12 months. The findings provided psychometric support for the measure and guidance for revisions. This measure can be used clinically to teach caregivers to provide function-focused care to residents in assisted living. This measure can be used clinically to teach caregivers to provide function-focused care to residents in assisted living. Mechanism-based classification of pain has been advocated widely to aid tailoring of interventions for individuals experiencing persistent musculoskeletal pain. Three pain mechanism categories (PMCs) are defined by the International Association for the Study of Pain nociceptive, neuropathic, and nociplastic pain. Discrimination between them remains challenging. This study aimed to build on a framework developed to converge the diverse literature of PMCs to systematically review methods purported to discriminate between them; synthesise and thematically analyse these methods to identify the convergence and divergence of opinion; and report validation, psychometric properties, and strengths/weaknesses of these methods. The search strategy identified articles discussing methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system. Studies that assessed the validity of methods to discriminate between categories were assessed for quality. https://www.selleckchem.com/products/Paclitaxel(Taxol).html Extraction and thematic anonnaires. Few methods have been validated for discrimination between PMCs. There was general convergence but some disagreement regarding findings that discriminate between PMCs. A combination of features and methods, rather than a single method, was generally recommended to discriminate between PMCs. Two major limitations were identified an overlap of findings of methods between categories due to mixed presentations and many methods considered discrimination between 2 PMCs but not others. The results of this review provide a foundation to refine methods to differentiate mechanisms for musculoskeletal pain. The personalization of neuropathic pain treatment could be improved by identifying specific sensory phenotypes (ie, specific combinations of symptoms and signs) predictive of the response to different classes of drugs. A simple and reliable phenotyping method is required for such a strategy. We investigated the utility of an algorithm for stratifying patients into clusters corresponding to specific combinations of neuropathic symptoms assessed with the Neuropathic Pain Symptom Inventory (NPSI). Consistent with previous results, we first confirmed, in a cohort of 628 patients, the existence of a structure consisting of 3 clusters of patients characterized by higher NPSI scores for pinpointed pain (cluster 1), evoked pain (cluster 2), or deep pain (cluster 3). From these analyses, we derived a specific algorithm for assigning each patient to one of these 3 clusters. We then assessed the clinical relevance of this algorithm for predicting treatment response, through post hoc analyses of 2 previous controlled tand performed a preliminary validation of a web-based version of the NPSI and algorithm for the stratification of patients in both research and daily practice. A common experimental neurophysiological method to study synaptic plasticity is pairing activity of somatosensory afferents and motor cortical circuits, so-called paired associative stimulation (PAS). Dysfunctional inhibitory and excitatory PAS mechanisms within the sensorimotor system were described in patients with migraine without aura (MO) between attacks. We have recently observed that the same bidirectional PAS rules also apply to the visual system. Here, we have tested whether dysfunctioning associative plasticity might characterize the visual system of patients with MO. In 14 patients with MO between attacks and in 15 healthy volunteers, we performed a previously validated visual PAS (vPAS) protocol by coupling 90 black-and-white checkerboard reversals with low-frequency transcranial magnetic stimulation pulses over the occipital cortex at 2 interstimulus intervals of -25/+25 ms around the visual-evoked potential (VEP) P1 latency. We recorded VEPs (600 sweeps) before, immediately after, and 10 min after each vPAS session.
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