Minimal Clinically Important Difference of the Disabilities of the Arm, Shoulder and Hand (DASH) and the Shortened Version of the DASH (QuickDASH) in People With Musculoskeletal Disorders: A Systematic Review and Meta-Analysis.

OBJECTIVE: The objective of this study was to perform a meta-analysis of the minimal clinically important difference (MCID) of the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire and its shortened version (ie, the QuickDASH). METHODS: MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science, Cochrane Library, and Scopus were searched up to July 2022. Studies on people with upper limb musculoskeletal disorders that calculated the MCID by anchor-based methods were included. Descriptive and quantitative synthesis was used for the MCID and the minimal detectable change with 90% confidence (MDC90). Fixed-effects models and random-effect models were used for the meta-analysis. I2 statistics was computed to assess heterogeneity. The methodological quality of studies was assessed with the Consensus-Based Standards for the Selection of Health Measurement Instruments checklist for measurement error and an adaptation of the checklist for the studies on MCID proposed by Bohannon and Glenney. RESULTS: Twelve studies (1677 patients) were included, producing 17 MCID estimates ranging from 8.3 to 18.0 DASH points and 8.0 to 18.1 QuickDASH points. The pooled MCIDs were 11.00 DASH points (95% CI = 8.59-13.41; I2 = 0%) and 11.97 QuickDASH points (95% CI = 9.60-14.33; I2 = 0%). The pooled MDC90s were 9.04 DASH points (95% CI = 6.46-11.62; I2 = 0%) and 9.03 QuickDASH points (95% CI = 6.36-11.71; I2 = 18%). Great methodological heterogeneity in the calculation of the MCID was identified among the primary studies. CONCLUSION: Reasonable MCID ranges of 12 to 14 DASH points and 12 to 15 QuickDASH points were established. The lower boundaries represent the first available measure above the pooled MDC90, and the upper limits represent the upper 95% CI of the pooled MCID. IMPACT: Reasonable ranges for the MCID of 12 to 14 DASH points and 12 to 15 QuickDASH points were proposed. The lower boundaries represent the first available measure above the pooled MDC90, and the upper limits represent the upper 95% CI of the pooled MCID. Information regarding the interpretability of the 2 questionnaires was derived from very different methodologies, making it difficult to identify reliable thresholds. Now clinicians and researchers can rely on more credible data. The proposed MCIDs should be used to assess people with musculoskeletal disorders. Heterogeneity was found related particularly to the anchor levels used in the primary studies. To promote comparability of MCID values, shared rules defining the most appropriate types of anchoring will be needed in the near future.

Rasch analysis of the forgotten joint score in patients with total hip arthroplasty.

OBJECTIVE: To assess the internal construct validity, including local independence, unidimensionality, monotonicity, and invariance, reliability, and targeting of the Forgotten Joint Score within the Rasch Measurement Theory framework. DESIGN: Cross-sectional study. PATIENTS: A total of 111 patients with total hip arthroplasty at least 3 months after surgery. METHODS: The Forgotten Joint Score was submitted to each subject during their rehabilitative treatment in an Italian centre and then to Rasch analysis. RESULTS: The base Rasch analysis showed a satisfactory fit to the model with strict unidimensionality and no differential item functioning. However, monotonicity (11 out of 12 items showed disordered thresholds) and local independence were  violated. After rescoring 10 items and creating 5 subtests to account for local dependence, the scale satisfied all the other Rasch model requirements (i.e. invariance, local independence, monotonicity, unidimensionality, and multi-group invariance), with reliability indexes (> 0.850) for measurement at the individual level and proper targeting. A raw-score-to-measure conversion table was provided. CONCLUSION: After structural (i.e. collapsing items categories) and non-structural (i.e. creating subtests) strategies, the Forgotten Joint Score satisfied the measurement requirements of the Rasch model, and it can be used in patients with total hip arthroplasty in clinical and research settings.

Feasibility interventional study investigating PAIN in neurorehabilitation through wearabLE SensorS (PAINLESS): a study protocol.

INTRODUCTION: Millions of people survive injuries to the central or peripheral nervous system for which neurorehabilitation is required. In addition to the physical and cognitive impairments, many neurorehabilitation patients experience pain, often not widely recognised and inadequately treated. This is particularly true for multiple sclerosis (MS) patients, for whom pain is one of the most common symptoms. In clinical practice, pain assessment is usually conducted based on a subjective estimate. This approach can lead to inaccurate evaluations due to the influence of numerous factors, including emotional or cognitive aspects. To date, no objective and simple to use clinical methods allow objective quantification of pain and the diagnostic differentiation between the two main types of pain (nociceptive vs neuropathic). Wearable technologies and artificial intelligence (AI) have the potential to bridge this gap by continuously monitoring patients' health parameters and extracting meaningful information from them. Therefore, we propose to develop a new automatic AI-powered tool to assess pain and its characteristics during neurorehabilitation treatments using physiological signals collected by wearable sensors. METHODS AND ANALYSIS: We aim to recruit 15 participants suffering from MS undergoing physiotherapy treatment. During the study, participants will wear a wristband for three consecutive days and be monitored before and after their physiotherapy sessions. Measurement of traditionally used pain assessment questionnaires and scales (ie, painDETECT, Doleur Neuropathique 4 Questions, EuroQoL-5-dimension-3-level) and physiological signals (photoplethysmography, electrodermal activity, skin temperature, accelerometer data) will be collected. Relevant parameters from physiological signals will be identified, and AI algorithms will be used to develop automatic classification methods. ETHICS AND DISSEMINATION: The study has been approved by the local Ethical Committee (285-2022-SPER-AUSLBO). Participants are required to provide written informed consent. The results will be disseminated through contributions to international conferences and scientific journals, and they will also be included in a doctoral dissertation. TRIAL REGISTRATION NUMBER: NCT05747040.

Co-designing an interactive artificial intelligent system with post-stroke patients and caregivers to augment the lost abilities and improve their quality of life: a human-centric approach.

Objectives: The motor disability due to stroke compromises the autonomy of patients and caregivers. To support autonomy and other personal and social needs, trustworthy, multifunctional, adaptive, and interactive assistive devices represent optimal solutions. To fulfill this aim, an artificial intelligence system named MAIA would aim to interpret users' intentions and translate them into actions performed by assistive devices. Analyzing their perspectives is essential to develop the MAIA system operating in harmony with patients' and caregivers' needs as much as possible. Methods: Post-stroke patients and caregivers were interviewed to explore the impact of motor disability on their lives, previous experiences with assistive technologies, opinions, and attitudes about MAIA and their needs. Interview transcripts were analyzed using inductive thematic analysis. Results: Sixteen interviews were conducted with 12 post-stroke patients and four caregivers. Three themes emerged: (1) Needs to be satisfied, (2) MAIA technology acceptance, and (3) Perceived trustfulness. Overall, patients are seeking rehabilitative technology, contrary to caregivers needing assistive technology to help them daily. An easy-to-use and ergonomic technology is preferable. However, a few participants trust a system based on artificial intelligence. Conclusion: An interactive artificial intelligence technology could help post-stroke patients and their caregivers to restore motor autonomy. The insights from participants to develop the system depends on their motor ability and the role of patients or caregiver. Although technology grows exponentially, more efforts are needed to strengthen people's trust in advanced technology.

The structure of the Early Rehabilitation Barthel Index (ERBI) should be modified: evidence from a Rasch analysis study.

BACKGROUND: The Early Rehabilitation Barthel Index (ERBI) comprises seven items of the Early Rehabilitation Index and ten items of the Barthel Index. The ERBI is usually used to measure functional changes in patients with severe acquired brain injury (sABI), but its measurement properties have yet to be extensively assessed. AIM: To study the unidimensionality and internal construct validity (ICV) of the ERBI through Confirmatory Factor Analysis (CFA), Mokken Analysis (MA), and Rasch Analysis (RA). DESIGN: Multicenter prospective study. SETTING: Inpatients from five intensive rehabilitation centers. POPULATION: Two hundred and forty-seven subjects with sABI. METHODS: ERBI was administered on admission and discharge to study its unidimensionality through CFA and MA and its ICV, reliability, and targeting through RA. RESULTS: The preliminary analyses showed a lack of unidimensionality (RMSEA=0.460 >0.06; SRMR=0.176 >0.06; CFI=1.000 >0.950; TLI=1.000 >0.950). According to CFA, "Confusional state" and "Behavioral disturbance" items showed low factor loadings (<0.40), whereas these two items composed a separate scale within the MA. Furthermore, the baseline RA showed that three items misfitted ("Mechanical ventilation," "Confusional state," "Behavioral disturbances") and a lack of conformity of several ICV requirements. After deletion of three misfitting items and further non-structural modifications (i.e., testlets creation to absorb local dependence between items and item misfit), the solution obtained showed adequate ICV, adequate reliability for measurements at the individual level (PSI>0.85), although with a frank floor effect. This final solution was successfully replicated in a total sample of the subjects. After post-hoc modifications of the score structure of two out of three misfitting items, the subsequent CFA (RMSEA=0.044 <0.06; SRMR=0.056 <0.06; CFI=1.000 >0.950 TLI=1.000 >0.950) and MA showed the resolution of the unidimensional issues. CONCLUSIONS: Although the ERBI is a potentially valuable tool for measuring functioning in the coma-to-community continuum, our analyses suggested its lack of ICV, partly due to an incorrect scoring design of some items. A new perspective multicenter study is proposed to validate a modified version of the ERBI that overcomes the problems highlighted in this analysis. CLINICAL REHABILITATION IMPACT: Our results do not support the use of the original structure of the ERBI in clinical practice and research, as a lack of ICV was highlighted.

When 'good' is not good enough: a retrospective Rasch analysis study of the Berg Balance Scale for persons with Multiple Sclerosis.

Background: The Berg Balance Scale (BBS) is one of the most used tools to quantify balance in Persons with Multiple Sclerosis, a population at high risk of falling. Aim: To evaluate the measurement characteristics of the BBS in Multiple Sclerosis through Rasch analysis. Design: Retrospective study. Setting: Outpatients in three Italian Rehabilitation centers. Population: Eight hundred and fourteen persons with Multiple Sclerosis able to stand independently for more than 3 s. Methods: The sample (N = 1,220) was split into one validating (B1) and three confirmatory subsamples. Following the Rasch analysis performed on B1, the item estimates were exported and anchored to the three confirmatory subsamples. After obtaining the same final solution across all samples, we studied the convergent and discriminant validity of the final BBS-MS using the EDSS, the ABC scale, and the number of falls. Results: The base analysis on the B1 subsample failed the monotonicity, local independence, and unidimensionality requirements and did not fit the Rasch model. After grouping locally dependent items, the BBS-MS fitted the model (χ28 = 23.8; p = 0.003) and satisfied all requirements for adequate internal construct validity (ICV). However, it was mistargeted to the sample, given the striking prevalence of higher scores (targeting index 1.922) with a distribution-independent Person Separation Index sufficient for individual measurements (0.962). The B1 item estimates were anchored to the confirmatory samples with confirmation of adequate fit (χ2 = [19.0, 22.8], value of ps = [0.015, 0.004]) and satisfaction of all ICV requirements for all subsamples. The final BBS-MS directly correlated with the ABC scale (rho = 0.523) and inversely with EDSS (rho = -0.573). The BBS-MS estimates significantly differed across groups according to the pre-specified hypotheses (between the three EDSS groups, between the ABC cut-offs, distinguishing 'fallers' vs. 'non-fallers', and between the 'low' vs. 'moderate' vs. 'high' levels of physical functioning; and, finally, between 'no falls' vs. 'one or more falls'). Conclusion: This study supports the internal construct validity and reliability of the BBS-MS in an Italian multicentre sample of persons with Multiple Sclerosis. However, as the scale is slightly mistargeted to the sample, it represents a candidate tool to assess balance, mainly in more disabled people with an advanced walking disability.

When the practice does not meet the theory: results from an Italian survey on the clinical and pathway management of inpatients with decompressive craniectomy or cranioplasty admitted to rehabilitation.

BACKGROUND: Cranioplasty (CP) is supposed to improve the functional outcome of severe acquired brain injury (sABI) patients with decompressive craniectomy (DC). However, ongoing controversies exist regarding its indications, optimum materials, timing, complications, and relationships with hydrocephalus (HC). For these reasons, an International Consensus Conference (ICC) on CP in traumatic brain injury (TBI) was held in June 2018 to issue some recommendations. AIM: The aims of this study were: to investigate cross-sectionally before the ICC the prevalence of DC/CP in sABI inpatients admitted to neurorehabilitation units in Italy; to assess the perception of Italian clinicians working in the sABI neurorehabilitation settings on the management of inpatients with DC/CP during their rehabilitation stay. DESIGN: Cross-sectional. SETTING AND POPULATION: Physiatrists or neurologists working in 38 Italian rehabilitation centers involved in the care of sABI, giving a pooled sample of 599 inpatients. METHODS: Survey questionnaire consisting of 21 closed-ended questions with multiple-choice answers. Sixteen questions regarded the respondents' opinions and experiences regarding the clinical and management aspects of patients. Survey data were collected via e-mail between April and May 2018. RESULTS: About 1/3 of the 599 inpatients had either a DC (18.9%) or a CP (13.5%). TBI and cerebral hemorrhage were strongly associated with DC/CP, although the association was much stronger for TBI. Significant discrepancies were uncovered between some of the recommendations of the ICC and the corresponding perceptions of the respondents, especially regarding the clinical management of patients (i.e., CP timing). Clear guidelines were perceived as the most crucial factor in improving clinical pathways. CONCLUSIONS: Early collaboration between the neurosurgical and the neurorehabilitation teams is crucial to optimize all clinical and organizational factors, which could expedite CP and minimize the risk of complications, such as infections and HC, to ensure the best possible outcome for DC patients, regardless of the etiology of the sABI. CLINICAL REHABILITATION IMPACT: There may be different attitudes and perceptions, if not controversies, between neurorehabilitation physicians and neurosurgeons regarding the optimal clinical and care pathway management of patients with DC/CP in Italy. Therefore, an Italian Consensus Conference involving all stakeholders on the clinical and management pathways of DC/CP patients admitted to neurorehabilitation is advocated.

Hierarchical psychophysiological pathways subtend perceptual asymmetries in Neglect.

Stroke patients with left Hemispatial Neglect (LHN) show deficits in perceiving left contralesional stimuli with biased visuospatial perception towards the right hemifield. However, very little is known about the functional organization of the visuospatial perceptual neural network and how this can account for the profound reorganization of space representation in LHN. In the present work, we aimed at (1) identifying EEG measures that discriminate LHN patients against controls and (2) devise a causative neurophysiological model between the discriminative EEG measures. To these aims, EEG was recorded during exposure to lateralized visual stimuli which allowed for pre-and post-stimulus activity investigation across three groups: LHN patients, lesioned controls, and healthy individuals. Moreover, all participants performed a standard behavioral test assessing the perceptual asymmetry index in detecting lateralized stimuli. The between-groups discriminative EEG patterns were entered into a Structural Equation Model for the identification of causative hierarchical associations (i.e., pathways) between EEG measures and the perceptual asymmetry index. The model identified two pathways. A first pathway showed that the combined contribution of pre-stimulus frontoparietal connectivity and individual-alpha-frequency predicts post-stimulus processing, as measured by visual-evoked N100, which, in turn, predicts the perceptual asymmetry index. A second pathway directly links the inter-hemispheric distribution of alpha-amplitude with the perceptual asymmetry index. The two pathways can collectively explain 83.1% of the variance in the perceptual asymmetry index. Using causative modeling, the present study identified how psychophysiological correlates of visuospatial perception are organized and predict the degree of behavioral asymmetry in LHN patients and controls.

The Early Functional Abilities-revised may bridge the gap between the disorder of consciousness and the functional independence scales: evidence from Rasch analysis.

BACKGROUND: There is a tremendous clinical and research need to bridge the gap between disorder of consciousness and functional independence scales with a single unidimensional measure in people with acquired brain injury. AIM: To calibrate an essentially unidimensional subset of items from the Italian Early Functional Abilities (EFA), demonstrating internal construct validity and sufficient reliability for individual patient measurement. DESIGN: Multicenter observational cross-sectional study. SETTING: Inpatients from 11 different Italian Rehabilitation centers. POPULATION: Three hundred sixty-two adult patients with a disorder of consciousness due to an acquired brain injury. METHODS: The Italian version of EFA was administered to the sample and then submitted to Mokken analysis, Confirmatory Factor Analysis, Rasch analysis, Confirmatory Bifactor Analysis, and external construct validity. RESULTS: According to Mokken Analysis (all item scalability coefficients Hj positive; all item-pair scalability coefficients Hij >0.3; scale coefficient H=0.762), and Confirmatory Factor Analysis (RMSEA=0.081; SRMR=0.048; CFI=0.995; TLI=0.995), the Italian EFA showed a sufficient preliminary unidimensionality. Within Rasch Analysis, a final 12-item solution for the EFA (EFA-R) was calibrated. EFA-R is "essentially unidimensional" according to the following requirements: 1) analysis of residual correlations which supported item essential local independence; 2) a robust correlation between item subtests (rho=0.950); 3) only 2.1% of cases with significant difference between person parameter estimates by different subscales; 4) an explained common variance equal to 0.916 obtained from a final Confirmatory Bifactor Analysis. It also satisfied invariance requirement (unconditional χ220=9.81; P=0.457, conditional class-interval based χ235=33.1; P=0.557), and monotonicity. The reliability (Person Separation Index=0.887) was adequate for person measurements. A practical raw-score-to-measure conversion table based on the EFA-R calibration was devised. Finally, EFA-R strongly correlated with Coma Recovery Scale-Revised (rho=0.922) and motor FIM™ (rho=0.808). CONCLUSIONS: EFA-R is an essentially unidimensional subset of 12 items with adequate internal construct validity and sufficient reliability for individual patient measurement under the Rasch Model Theory framework. CLINICAL REHABILITATION IMPACT: EFA-R has the potential to measure people's functional abilities whose consciousness is improving despite ongoing severe motor-functional impairments during the early stages of rehabilitation. It provides "a measurement bridge" between the disorder of consciousness and the functional independence scales in patients with severe acquired brain injury.

Efficacy of a multiple-component and multifactorial personalized fall prevention program in a mixed population of community-dwelling older adults with stroke, Parkinson's Disease, or frailty compared to usual care: The PRE.C.I.S.A. randomized controlled trial.

Background: Fall risk in the elderly is a major public health issue due to the injury-related consequences and the risk of associated long-term disability. However, delivering preventive interventions in usual clinical practice still represents a challenge. Aim: To evaluate the efficacy of a multiple-component combined with a multifactorial personalized intervention in reducing fall rates in a mixed population of community-dwelling elderly compared to usual care. Design: Randomized Controlled Trial (NCT03592420, clinicalTrials.gov). Setting: Outpatients in two Italian centers. Population: 403 community-dwelling elderly at moderate-to-high fall risk, including subjects with Parkinson's Disease and stroke. Methods: After the randomization, the described interventions were administered to the intervention group (n = 203). The control group (n = 200) received usual care and recommendations to minimize fall risk factors. In addition, each participant received a fall diary, followed by 12 monthly phone calls. The primary endpoint was the total number of falls in each group over 12 months, while the secondary endpoints were other fall-related indicators recorded at one year. In addition, participants' functioning was assessed at baseline (T1) and 3-month (T3). Results: 690 falls were reported at 12 months, 48.8% in the intervention and 51.2% in the control group, with 1.66 (± 3.5) and 1.77 (± 3.2) mean falls per subject, respectively. Subjects with ≥ 1 fall and ≥2 falls were, respectively, 236 (58.6%) and 148 (36.7%). No statistically significant differences were observed between groups regarding the number of falls, the falling probability, and the time to the first fall. According to the subgroup analysis, no significant differences were reported. However, a statistically significant difference was found for the Mini-BESTest (p = 0.004) and the Fullerton Advanced Balance Scale (p = 0.006) for the intervention group, with a small effect size (Cohen's d 0.26 and 0.32, respectively), at T1 and T3 evaluations. Conclusions: The intervention was ineffective in reducing the number of falls, the falling probability, and the time to the first fall at 12 months in a mixed population of community-dwelling elderly. A significant improvement for two balance indicators was recorded in the intervention group. Future studies are needed to explore different effects of the proposed interventions to reduce falls and consequences.

Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach.

Accurate outcome detection in neuro-rehabilitative settings is crucial for appropriate long-term rehabilitative decisions in patients with disorders of consciousness (DoC). EEG measures derived from high-density EEG can provide helpful information regarding diagnosis and recovery in DoC patients. However, the accuracy rate of EEG biomarkers to predict the clinical outcome in DoC patients is largely unknown. This study investigated the accuracy of psychophysiological biomarkers based on clinical EEG in predicting clinical outcomes in DoC patients. To this aim, we extracted a set of EEG biomarkers in 33 DoC patients with traumatic and nontraumatic etiologies and estimated their accuracy to discriminate patients' etiologies and predict clinical outcomes 6 months after the injury. Machine learning reached an accuracy of 83.3% (sensitivity = 92.3%, specificity = 60%) with EEG-based functional connectivity predicting clinical outcome in nontraumatic patients. Furthermore, the combination of functional connectivity and dominant frequency in EEG activity best predicted clinical outcomes in traumatic patients with an accuracy of 80% (sensitivity = 85.7%, specificity = 71.4%). These results highlight the importance of functional connectivity in predicting recovery in DoC patients. Moreover, this study shows the high translational value of EEG biomarkers both in terms of feasibility and accuracy for the assessment of DoC.

A Multifunctional Adaptive and Interactive AI system to support people living with stroke, acquired brain or spinal cord injuries: A study protocol.

BACKGROUND: Acquired brain injury and spinal cord injury are leading causes of severe motor disabilities impacting a person's autonomy and social life. Enhancing neurological recovery driven by neurogenesis and neuronal plasticity could represent future solutions; however, at present, recovery of activities employing assistive technologies integrating artificial intelligence is worthy of examining. MAIA (Multifunctional, adaptive, and interactive AI system for Acting in multiple contexts) is a human-centered AI aiming to allow end-users to control assistive devices naturally and efficiently by using continuous bidirectional exchanges among multiple sensorimotor information. METHODS: Aimed at exploring the acceptability of MAIA, semi-structured interviews (both individual interviews and focus groups) are used to prompt possible end-users (both patients and caregivers) to express their opinions about expected functionalities, outfits, and the services that MAIA should embed, once developed, to fit end-users needs. DISCUSSION: End-user indications are expected to interest MAIA technical, health-related, and setting components. Moreover, psycho-social issues are expected to align with the technology acceptance model. In particular, they are likely to involve intrinsic motivational and extrinsic social aspects, aspects concerning the usefulness of the MAIA system, and the related ease to use. At last, we expect individual factors to impact MAIA: gender, fragility levels, psychological aspects involved in the mental representation of body image, personal endurance, and tolerance toward AT-related burden might be the aspects end-users rise in evaluating the MAIA project.

Efficacy of Repetitive Transcranial Magnetic Stimulation Combined With Visual Scanning Treatment on Cognitive-Behavioral Symptoms of Unilateral Spatial Neglect in Patients With Traumatic Brain Injury: Study Protocol for a Randomized Controlled Trial.

Left hemispatial neglect (LHSN) is a frequent and disabling condition affecting patients who suffered from traumatic brain injury (TBI). LHSN is a neuropsychological syndrome characterized clinically by difficulties in attending, responding, and consciously representing the right side of space. Despite its frequency, scientific evidence on effective treatments for this condition in TBI patients is still low. According to existing literature, we hypothesize that in TBI, LHSN is caused by an imbalance in inter-hemispheric activity due to hyperactivity of the left hemisphere, as observed in LHSN after right strokes. Thus, by inhibiting this left hyperactivity, repetitive Transcranial Magnetic Stimulation (rTMS) would have a rebalancing effect, reducing LHSN symptoms in TBI patients. We plan to test this hypothesis within a single-blind, randomized SHAM controlled trial in which TBI patients will receive inhibitory i-rTMS followed by cognitive treatment for 15 days. Neurophysiological and clinical measures will be collected before, afterward, and in the follow-up. This study will give the first empirical evidence about the efficacy of a novel approach to treating LHSN in TBI patients. Clinical Trial Registration: https://www.clinicaltrials.gov/ct2/show/NCT04573413?cond=Neglect%2C+Hemispatial&cntry=IT&city=Bologna&draw=2&rank=2, identifier: NCT04573413.

Efficacy of repetitive transcranial magnetic stimulation combined with visual scanning treatment on cognitive and behavioral symptoms of left hemispatial neglect in right hemispheric stroke patients: study protocol for a randomized controlled trial.

BACKGROUND: Left hemispatial neglect (LHN) is a neuropsychological syndrome often associated with right hemispheric stroke. Patients with LHN have difficulties in attending, responding, and consciously representing the right side of space. Various rehabilitation protocols have been proposed to reduce clinical symptoms related to LHN, using cognitive treatments, or on non-invasive brain stimulation. However, evidence of their benefit is still lacking; in particular, only a few studies focused on the efficacy of combining different approaches in the same patient. METHODS: In the present study, we present the SMART ATLAS trial (Stimolazione MAgnetica Ripetitiva Transcranica nell'ATtenzione LAteralizzata dopo Stroke), a multicenter, randomized, controlled trial with pre-test (baseline), post-test, and 12 weeks follow-up assessments based on a novel rehabilitation protocol based on the combination of brain stimulation and standard cognitive treatment. In particular, we will compare the efficacy of inhibitory repetitive-transcranial magnetic stimulation (r-TMS), applied over the left intact parietal cortex of LHN patients, followed by visual scanning treatment, in comparison with a placebo stimulation (SHAM control) followed by the same visual scanning treatment, on visuospatial symptoms and neurophysiological parameters of LHN in a population of stroke patients. DISCUSSION: Our trial results may provide scientific evidence of a new, relatively low-cost rehabilitation protocol for the treatment of LHN. TRIAL REGISTRATION: ClinicalTrials.gov NCT04080999 . Registered on September 2019.

'Less is more': validation with Rasch analysis of five short-forms for the Brain Injury Rehabilitation Trust Personality Questionnaires (BIRT-PQs).

BACKGROUND: Previous analyses demonstrated a lack of unidimensionality, item redundancy, and substantial administrative burden for the Brain Injury Rehabilitation Trust Personality Questionnaires (BIRT-PQs). OBJECTIVE: To use Rasch Analysis to calibrate five short-forms of the BIRT-PQs, satisfying the Rasch model requirements. METHODS: BIRT-PQs data from 154 patients with severe Acquired Brain Injury (s-ABI) and their caregivers (total sample = 308) underwent Rasch analysis to examine their internal construct validity and reliability according to the Rasch model. RESULTS: The base Rasch analyses did not show sufficient internal construct validity according to the Rasch model for all five BIRT-PQs. After rescoring 18 items, and deleting 75 of 150 items, adequate internal construct validity was achieved for all five BIRT-PQs short forms (model chi-square p-values ranging from 0.0053 to 0.6675), with reliability values compatible with individual measurements. CONCLUSIONS: After extensive modifications, including a 48% reduction of the item load, we obtained five short forms of the BIRT-PQs satisfying the strict measurement requirements of the Rasch model. The ordinal-to-interval measurement conversion tables allow measuring on the same metric the perception of the neurobehavioral disability for both patients with s-ABI and their caregivers.

The unidimensionality of the five Brain Injury Rehabilitation Trust Personality Questionnaires (BIRT-PQs) may be improved: preliminary evidence from classical psychometrics.

Objective: To assess the internal construct validity (ICV) of the five Brain Injury Rehabilitation Trust Personality Questionnaires (BIRT-PQ) with Classical Test Theory methods.Methods: Multicenter cross-sectional study involving 11 Italian rehabilitation centers. BIRT-PQs were administered to patients with severe Acquired Brain Injury and their respective caregivers. ICV was assessed by the mean of an internal consistency analysis (ICA) and a Confirmatory Factor Analysis (CFA).Results: Data from 154 patients and their respective caregivers were pooled, giving a total sample of 308 subjects. Despite good overall values (alphas ranging from 0.811 to 0.937), the ICA revealed that several items within each scale did not contribute as expected to the total score. This result was confirmed by the CFA, which showed the misfit of the data to a unidimensional model (RMSEA ranging from 0.077 to 0.097). However, after accounting for local dependency found within the data, fitness to a unidimensional model improved significantly (RMSEA ranging from 0.050 to 0.062).Conclusion: Despite some limitations, our analyses demonstrated the lack of ICV for the BIRT-PQ total scores. It is envisaged that a more comprehensive ICV analysis will be performed with Rasch analysis, aiming to improve both the measurement properties and the administrative burden of each BIRT-PQ.

A Rasch analysis of the Conley Scale in patients admitted to a general hospital.

Purpose: The Conley Scale (CS) is a widely used tool for assessing the risk of falling for inpatients. The purpose of this study was to assess its unidimensionality, internal construct validity, targeting and reliability using Confirmatory Factor Analysis (CFA) and Rasch analysis (RA).Methods: The CS was administrated to a sample of 58,370 subjects admitted to a general hospital.Results: The CFA supported the unidimensionality of the CS (Root Mean Square Error of Approximation (RMSEA) = 0.040) only after adjusting for local dependency between two items. The scale did not fit the Rasch model (χ218 = 4688.5; p = 0.0000) and this was confirmed notwithstanding adjusting for type-I error (by creating 10-subsample of 250 subjects) and extensive post-hoc modifications. The analysis of targeting showed a marked floor effect (47.1%), whereas the reliability appeared adequate for group measurement (0.800) only after adjusting for the skewed distribution of the calibrating sample.Conclusion: The results of this study suggested that the CS, although unidimensional, could not provide interval-scale measurement of the risk of falling, had a measurement range that mismatched the ability range of the population being measured, and had a reliability inadequate for individual person measurements. Given these findings, the use of the CS to identify inpatients at risk of falling is not recommended.Implications for rehabilitationThe Conley Scale is a unidimensional tool according to Confirmatory Factor Analysis.However, Rasch analysis demonstrated that the tool could not provide interval-scale measurement of the risk of falling, had a measurement range that did not fit the ability range of the population being measured, and had a level of reliability which was inadequate for its intended purpose, that is individual person measurement.The diagnostic utility of the known published cutoff is severely hampered by the severe mistargeting and reduced reliability of the tool.Given these shortcomings, the Conley Scale cannot be recommended to identify inpatients at risk of falling.

Can we scientifically and reliably measure the level of consciousness in vegetative and minimally conscious States? Rasch analysis of the coma recovery scale-revised.

OBJECTIVES: (1) To appraise, by the means of Rasch analysis, the internal validity and reliability of the Coma Recovery Scale-Revised (CRS-R) in a sample of patients with disorder of consciousness (DOC); and (2) to provide information about the comparability of CRS-R scores across persons with DOC across different settings and groups, including different etiologies. DESIGN: Multicenter observational prospective study. SETTING: Two rehabilitation wards, 1 intermediate care facility, and 2 nursing homes in Italy. PARTICIPANTS: Consecutively admitted patients (N=129) for which assessments at 2 different time points were available, giving a total sample of 258 observations. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: CRS-R. RESULTS: After controlling for any possible dependency between persons' measures collected at different time points, and for uniform differential item functioning by etiology showed by the visual subscale, Rasch analysis demonstrated adequate satisfaction of all the model's requirements, including adequate ordering of scoring categories, unidimensionality, local independence, invariance (χ(2)21=27.798, P=.146), and absence of differential item functioning across patients' sex, age, time, and setting. The reliability (person separation index=.896) was adequate for individual person measurement. We devised a practical raw score to measure conversion tables based on the CRS-R calibrations. CONCLUSIONS: The CRS-R is a psychometrically sound and robust measurement tool. The linear measures of ability derived from the CRS-R total scores do satisfy all the principles of scientific measurement and are sufficiently reliable for high stakes assessments, such as the diagnosis of the level of consciousness in individual patients. Future studies are needed to directly explore the capabilities of the CRS-R measures to reduce the risk of vegetative state misdiagnosis.

Is the Berg Balance Scale an internally valid and reliable measure of balance across different etiologies in neurorehabilitation? A revisited Rasch analysis study.

OBJECTIVES: To assess, within the context of Rasch analysis, (1) the internal validity and reliability of the Berg Balance Scale (BBS) in a sample of rehabilitation patients with varied balance abilities; and (2) the comparability of the BBS measures across different neurologic diseases. DESIGN: Observational prospective study. SETTING: Rehabilitation ward of an Italian district hospital. PARTICIPANTS: Consecutively admitted inpatients and outpatients (N=217); for 85 participants, data were collected both on admission and discharge, giving a total sample of 302 observations. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: BBS. RESULTS: Most of the BBS items had to be rescored, and 2 items (static sitting and standing balance) had to be deleted, to attain adequate internal construct validity (χ(2)(24)=35.68; P=.059). The reliability of the Rasch-modified BBS (BBS-12) (total score, 0-35) was high (.957), indicating precision of measurement at the individual level. The analysis of differential item functioning (DIF) showed invariance of the item calibrations across patients' sex, age, and etiology. After adjusting for the possible effect of repeated measurements on person estimates, the analysis of DIF by timing of assessment confirmed the stability of the item hierarchy across time. A practical ruler was provided to convert item raw scores into Rasch estimates of balance ability. CONCLUSIONS: This study supports the internal validity and reliability of the BBS-12 as a measurement tool independent of the etiology of the neurologic disease causing the balance impairment. In view of some sample-related issues and that not all possible etiologies encountered in the neurorehabilitation settings were tested, a larger multicenter study is warranted to confirm these findings.

Unified Balance Scale: an activity-based, bed to community, and aetiology-independent measure of balance calibrated with Rasch analysis.

OBJECTIVE: To build a new activity-based, "bed to community", aetiology-independent measure of balance within the neurological rehabilitation setting by merging some existing scales. METHODS: Balance scales were selected using a conceptual framework and subsequently administered to a convenience sample of adult patients with balance problems due to different neurological aetiologies. Data were then processed using classical psychometric analyses and Rasch analysis in order to construct a new balance measurement tool. RESULTS: The Berg Balance Scale, the Tinetti Scales and the Fullerton Advanced Balance Scale were selected and administered to a sample of patients, giving 302 observations. Classical psychometric analyses (item and scale analysis; confirmatory factor analysis) were undertaken on the pooled 40-item set with confirmation of unidimensionality. The subsequent Rasch analysis allowed the identification of a 27-item set satisfying the Rasch Model's requirements for fundamental measurement, with further confirmation of unidimensionality by post-hoc confirmatory factor analysis. CONCLUSION: The new scale (Unified Balance Scale) holds proven measurement properties and may be a candidate tool for "bed to community" balance measurement for patients with balance problems within the neuro-rehabilitation setting. Future studies are warranted to explore further its external validity and other clinical properties, as well as to improve its usability.