Electroencephalographic assessment in patients with Rett syndrome during cognitive stimulation by means of eye tracking technology and alternative and augmentative communication systems.

Rett syndrome (RTT) is considered a rare disease despite being the leading genetic disorder to cause severe intellectual disability in women. There is no cure for RTT, so the treatment is symptomatic and supporting, requiring a multidisciplinary approach. Occupational therapy can help girls and their families to improve communication, being one of the main concerns when verbal language and intentional hand movement are impaired or lost. This paper presents a pilot study of cognitive training through the combined use of eye-tracking technology (ETT) and augmentative and alternative communication (AAC) using the Peabody Picture Vocabulary Test (PPVT-IV). The objective was to evaluate brain activation by means of electroencephalography (EEG) during the stimulation of non-verbal communication. EEG data were recorded during an eyes-open resting state (EO-RS) period and during cognitive stimulation via AAC activity. To assess their effect, both signals were compared at the spectral level, focusing on frequency, brain symmetry and connectivity. During the task, a redistribution of power towards fast frequency bands was observed, as well as an improvement in the brain symmetry index (BSI) and functional synchronicity through increased coherence. Therefore, the results of the spectral analysis showed a possible deviation from the pathological pattern, manifesting a positive effect in the use of non-verbal cognitive stimulation activities. In conclusion, it was observed that it is possible to establish a cognitive training system that produces brain activation and favors communication and learning despite intentional language loss.Clinical Relevance- This manifests a method of cognitive training that would induce brain activation in RTT patients with absence of intentional communication. The evaluation system through spectral analysis could complement the standardized protocols to asses communication that are based on verbal and motor production.

Telerehabilitation for Rural Veterans: A Qualitative Assessment of Barriers and Facilitators to Implementation.

PURPOSE: Telerehabilitation (TR) is increasingly being used to meet the rehabilitation needs of individuals living in rural areas. Nevertheless, reports on TR implementation for rural patients remain limited. As part of a broader evaluation, this study investigated barriers and facilitators to the implementation of a national TR program to meet the needs of rural Veterans Health Administration (VHA) patients. METHODS: This study applied a qualitative approach to the RE-AIM framework to investigate barriers and facilitators impacting TR implementation. We conducted in-depth, semi-structured interviews with ten program managers and medical directors within the VHA at three time points during the first 18 months of implementation. Interviews were analyzed using thematic analysis. RESULTS: Three themes were identified describing key cultural, infrastructural and logistical, and environmental barriers impacting the reach, adoption, and implementation of TR. Within the themes, facilitators for TR were also identified to include, allowing providers flexibility in implementing TR, mentorship and development of creative approaches to TR training, overcoming infrastructural and logistical TR barriers through championing, and continuous sharing of lessons learned in a community of practice. DISCUSSION: This study explicates salient barriers and facilitators encountered during the first 18 months of implementation of a TR program within a national healthcare system in the United States. Implementing TR to meet the rehabilitation needs of Veterans in resource-limited rural environments requires creative approaches and flexibility, as well as perseverance and consistent championing in order to overcome cultural challenges. This, in combination with infrastructural challenges, such as lack of broadband, adds greater complexity to meeting the needs of rural patients. This study provides new and in-depth understanding of the processes by which TR is implemented in a large healthcare system and points to practical real-world lessons in implementing TR for rural patients.

Evaluating Korean Personal Assistance Services Classification System.

OBJECTIVE: To evaluate the utility of using the Personal Assistance Services classification system (PAS-CS) that examines individuals with disabilities for services and government funding. To this end, this study also tests for significant differences in PAS-CS scores across disability grades and disability types. METHODS: A retrospective analysis was conducted using the 2014 National Survey on People with Disabilities (NSPD) data set. We selected patients with three types of disabilities (physical disabilities, brain lesions, and visual impairments). We compared the average PAS-CS scores of patients with different disability types and grades using general linear models with multiple comparisons. RESULTS: A total of 4,810 patients were included in the analysis. Patients with brain lesions had the highest average PAS-CS scores in activities of daily living (ADL) and instrumental activities of daily living (IADL) domains. Patients with visual impairments had the highest average scores in 'Disease-specific disability' and 'Social-environment' domains. For patients with physical disabilities and visual impairments, no PAS-CS domains were significantly different between patients with disability grade III and those with disability grade IV (p>0.05). CONCLUSION: The PAS-CS scores of disability grades were not equivalent among individuals with different disability types. The Korean Ministry of Health and Welfare currently only considers certain disability grades for PAS preeligibility, as a result disregarding the characteristics of different disability types. Thus, the current PAS-CS requires modifications.

Linking Existing Instruments to Develop an Activity of Daily Living Item Bank.

This study examined dimensionality and item-level psychometric properties of an item bank measuring activities of daily living (ADL) across inpatient rehabilitation facilities and community living centers. Common person equating method was used in the retrospective veterans data set. This study examined dimensionality, model fit, local independence, and monotonicity using factor analyses and fit statistics, principal component analysis (PCA), and differential item functioning (DIF) using Rasch analysis. Following the elimination of invalid data, 371 veterans who completed both the Functional Independence Measure (FIM) and minimum data set (MDS) within 6 days were retained. The FIM-MDS item bank demonstrated good internal consistency (Cronbach's α = .98) and met three rating scale diagnostic criteria and three of the four model fit statistics (comparative fit index/Tucker-Lewis index = 0.98, root mean square error of approximation = 0.14, and standardized root mean residual = 0.07). PCA of Rasch residuals showed the item bank explained 94.2% variance. The item bank covered the range of θ from -1.50 to 1.26 (item), -3.57 to 4.21 (person) with person strata of 6.3. The findings indicated the ADL physical function item bank constructed from FIM and MDS measured a single latent trait with overall acceptable item-level psychometric properties, suggesting that it is an appropriate source for developing efficient test forms such as short forms and computerized adaptive tests.

The Veteran-Initiated Electronic Care Coordination: A Multisite Initiative to Promote and Evaluate Consumer-Mediated Health Information Exchange.

INTRODUCTION: Information continuity is critical to person-centered care when patients receive care from multiple healthcare systems. Patients can access their electronic health record data through patient portals to facilitate information exchange. This pilot was developed to improve care continuity for rural Veterans by (1) promoting the use of the Department of Veterans Affairs (VA) patient portal to share health information with non-VA providers, and (2) evaluating the impact of health information sharing at a community appointment. MATERIALS AND METHODS: Veterans from nine VA healthcare systems were trained to access and share their VA Continuity of Care Document (CCD) with their non-VA providers. Patients and non-VA providers completed surveys on their experiences. RESULTS: Participants (n = 620) were primarily older, white, and Vietnam era Veterans. After training, 78% reported the CCD would help them be more involved in their healthcare and 86% planned to share it regularly with non-VA providers. Veterans (n = 256) then attended 277 community appointments. Provider responses from these appointments (n = 133) indicated they were confident in the accuracy of the information (97%) and wanted to continue to receive the CCD (96%). Ninety percent of providers reported the CCD improved their ability to have an accurate medication list and helped them make medication treatment decisions. Fifty percent reported they did not order a laboratory test or another procedure because of information available in the CCD. CONCLUSIONS: This pilot demonstrates feasibility and value of patient access to a CCD to facilitate information sharing between VA and non-VA providers. Outreach and targeted education are needed to promote consumer-mediated health information exchange.

Assessment of the psychometrics of a PROMIS item bank: self-efficacy for managing daily activities.

PURPOSE: The aim of this study is to investigate the psychometrics of the Patient-Reported Outcomes Measurement Information System self-efficacy for managing daily activities item bank. METHODS: The item pool was field tested on a sample of 1087 participants via internet (n = 250) and in-clinic (n = 837) surveys. All participants reported having at least one chronic health condition. The 35 item pool was investigated for dimensionality (confirmatory factor analyses, CFA and exploratory factor analysis, EFA), item-total correlations, local independence, precision, and differential item functioning (DIF) across gender, race, ethnicity, age groups, data collection modes, and neurological chronic conditions (McFadden Pseudo R (2) less than 10 %). RESULTS: The item pool met two of the four CFA fit criteria (CFI = 0.952 and SRMR = 0.07). EFA analysis found a dominant first factor (eigenvalue = 24.34) and the ratio of first to second eigenvalue was 12.4. The item pool demonstrated good item-total correlations (0.59-0.85) and acceptable internal consistency (Cronbach's alpha = 0.97). The item pool maintained its precision (reliability over 0.90) across a wide range of theta (3.70), and there was no significant DIF. CONCLUSION: The findings indicated the item pool has sound psychometric properties and the test items are eligible for development of computerized adaptive testing and short forms.

Evaluation of multiple comparison correction procedures in drug assessment studies using LORETA maps.

The identification of the brain regions involved in the neuropharmacological action is a potential procedure for drug development. These regions are commonly determined by the voxels showing significant statistical differences after comparing placebo-induced effects with drug-elicited effects. LORETA is an electroencephalography (EEG) source imaging technique frequently used to identify brain structures affected by the drug. The aim of the present study was to evaluate different methods for the correction of multiple comparisons in the LORETA maps. These methods which have been commonly used in neuroimaging and also simulated studies have been applied on a real case of pharmaco-EEG study where the effects of increasing benzodiazepine doses on the central nervous system measured by LORETA were investigated. Data consisted of EEG recordings obtained from nine volunteers who received single oral doses of alprazolam 0.25, 0.5, and 1 mg, and placebo in a randomized crossover double-blind design. The identification of active regions was highly dependent on the selected multiple test correction procedure. The combined criteria approach known as cluster mass was useful to reveal that increasing drug doses led to higher intensity and spread of the pharmacologically induced changes in intracerebral current density.

Influence of ocular filtering in EEG data on the assessment of drug-induced effects on the brain.

Ocular artifacts in EEG signals affect the interpretation of clinical study results. The aim of this study was to assess the influence of automatic ocular filtering procedures in the conclusions drawn from a pharmaco-EEG trial. Regression analysis, gold standard, and blind source separation (BSS), Second Order Blind Identification algorithm, ocular filtering procedures were compared using time, frequency, topographic and tomographic brain mapping approaches and pharmacokinetic-pharmacodynamic (PK-PD) relationships. Data consisted of EEGs obtained from 20 volunteers who received single oral doses of haloperidol 3 mg, risperidone 1 mg, olanzapine 5 mg and placebo in a randomized cross-over double-blind design. Although the BSS-based technique preserved brain activity more than regression analysis in anterior leads, in general, topographic significance probability maps globally showed similar results with both methods for most spectral variables. However, different results were obtained when using whole multi-channel information for studying drug effects in the brain: (i) higher correlations between PK and PD time courses showing that BSS allowed estimation of spectral variables more accurately related to drug effects and (ii) larger and more symmetric drug related tomographic LORETA maps showing that BSS led to results that were more neurophysiopharmacologically sound. Definitely, the BSS-based procedure is an effective and efficient preprocessing method to remove ocular artifacts from EEG data. The selection of the ocular filtering procedure could determine different results whose impact depends on the evaluating tool applied to analyze the pharmaco-EEG data.