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      Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease

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          Abstract

          Background:

          Impaired motor and cognitive function can make travel cumbersome for People with Parkinson’s disease (PwPD). Over 50% of PwPD cared for at the University of Arkansas for Medical Sciences (UAMS) Movement Disorders Clinic reside over 30 miles from Little Rock. Improving access to clinical care for PwPD is needed.

          Objective:

          To explore the feasibility of remote clinic-to-clinic telehealth research visits for evaluation of multi-modal function in PwPD.

          Methods:

          PwPD residing within 30 miles of a UAMS Regional health center were enrolled and clinic-to-clinic telehealth visits were performed. Motor and non-motor disease assessments were administered and quantified. Results were compared to participants who performed at-home telehealth visits using the same protocols during the height of the COVID pandemic.

          Results:

          Compared to the at-home telehealth visit group ( n = 50), the participants from regional centers ( n = 13) had similar age and disease duration, but greater disease severity with higher total Unified Parkinson’s disease rating scale scores ( Z = −2.218, p = 0.027) and lower Montreal Cognitive Assessment scores ( Z = −3.350, p < 0.001). Regional center participants had lower incomes (Pearson’s chi = 21.3, p < 0.001), higher costs to attend visits (Pearson’s chi = 16.1, p = 0.003), and lived in more socioeconomically disadvantaged neighborhoods ( Z = −3.120, p = 0.002). Prior research participation was lower in the regional center group (Pearson’s chi = 4.5, p = 0.034) but both groups indicated interest in future research participation.

          Conclusions:

          Regional center research visits in PwPD in medically underserved areas are feasible and could help improve access to care and research participation in these traditionally underrepresented populations.

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          Most cited references34

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          The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

          To develop a 10-minute cognitive screening tool (Montreal Cognitive Assessment, MoCA) to assist first-line physicians in detection of mild cognitive impairment (MCI), a clinical state that often progresses to dementia. Validation study. A community clinic and an academic center. Ninety-four patients meeting MCI clinical criteria supported by psychometric measures, 93 patients with mild Alzheimer's disease (AD) (Mini-Mental State Examination (MMSE) score > or =17), and 90 healthy elderly controls (NC). The MoCA and MMSE were administered to all participants, and sensitivity and specificity of both measures were assessed for detection of MCI and mild AD. Using a cutoff score 26, the MMSE had a sensitivity of 18% to detect MCI, whereas the MoCA detected 90% of MCI subjects. In the mild AD group, the MMSE had a sensitivity of 78%, whereas the MoCA detected 100%. Specificity was excellent for both MMSE and MoCA (100% and 87%, respectively). MCI as an entity is evolving and somewhat controversial. The MoCA is a brief cognitive screening tool with high sensitivity and specificity for detecting MCI as currently conceptualized in patients performing in the normal range on the MMSE.
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            A new method for measuring daytime sleepiness: the Epworth sleepiness scale.

            The development and use of a new scale, the Epworth sleepiness scale (ESS), is described. This is a simple, self-administered questionnaire which is shown to provide a measurement of the subject's general level of daytime sleepiness. One hundred and eighty adults answered the ESS, including 30 normal men and women as controls and 150 patients with a range of sleep disorders. They rated the chances that they would doze off or fall asleep when in eight different situations commonly encountered in daily life. Total ESS scores significantly distinguished normal subjects from patients in various diagnostic groups including obstructive sleep apnea syndrome, narcolepsy and idiopathic hypersomnia. ESS scores were significantly correlated with sleep latency measured during the multiple sleep latency test and during overnight polysomnography. In patients with obstructive sleep apnea syndrome ESS scores were significantly correlated with the respiratory disturbance index and the minimum SaO2 recorded overnight. ESS scores of patients who simply snored did not differ from controls.
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              Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

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                Author and article information

                Journal
                J Clin Transl Sci
                J Clin Transl Sci
                CTS
                Journal of Clinical and Translational Science
                Cambridge University Press (Cambridge, UK )
                2059-8661
                2024
                25 March 2024
                : 8
                : 1
                : e63
                Affiliations
                [ 1 ]Department of Neurology, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                [ 2 ]Department of Biomedical Informatics, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                [ 3 ]Translational Research Institute, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                [ 4 ]Rural Research Network, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                [ 5 ]Regional Programs, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                [ 6 ]Department of Biostatistics, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                [ 7 ]Institute for Digital Health and Innovation, University of Arkansas for Medical Sciences , Little Rock, AR, USA
                Author notes
                Corresponding author: T. Virmani; Email: TVirmani@ 123456uams.edu
                Author information
                https://orcid.org/0000-0002-1826-2020
                https://orcid.org/0000-0002-6314-5683
                Article
                S2059866124004989
                10.1017/cts.2024.498
                11036429
                38655451
                3f0880e5-3e8e-4250-bd22-430b03cd086b
                © The Author(s) 2024

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 24 October 2023
                : 08 February 2024
                : 11 March 2024
                Page count
                Figures: 3, Tables: 3, References: 37, Pages: 9
                Categories
                Research Article
                Research Methods and Technology

                telemedicine,health equity,rural health,ambulatory monitoring,parkinson’s disease,medically underserved area

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