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Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions

BACKGROUND: Movement disorders persons from underserved areas have increased barriers to access tertiary care. There is currently limited data on the geographic and demographic profile of movement disorders persons from underserved areas. METHODS: A retrospective chart review of the geographic and d...

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Autores principales: Giacobbe, Alaina, Au, Ka Loong Kelvin, Nguyen, Oliver T., Moore, Kathryn, Dinh, Emily, Ramirez-Zamora, Adolfo, Okun, Michael S., Almeida, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396113/
https://www.ncbi.nlm.nih.gov/pubmed/34513276
http://dx.doi.org/10.5334/tohm.635
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author Giacobbe, Alaina
Au, Ka Loong Kelvin
Nguyen, Oliver T.
Moore, Kathryn
Dinh, Emily
Ramirez-Zamora, Adolfo
Okun, Michael S.
Almeida, Leonardo
author_facet Giacobbe, Alaina
Au, Ka Loong Kelvin
Nguyen, Oliver T.
Moore, Kathryn
Dinh, Emily
Ramirez-Zamora, Adolfo
Okun, Michael S.
Almeida, Leonardo
author_sort Giacobbe, Alaina
collection PubMed
description BACKGROUND: Movement disorders persons from underserved areas have increased barriers to access tertiary care. There is currently limited data on the geographic and demographic profile of movement disorders persons from underserved areas. METHODS: A retrospective chart review of the geographic and demographic profile of consecutive cases seen between 2002–2017 at the University of Florida Norman Fixel Institute for Neurological Diseases (UF-NFIND) was performed. Information collected included age, sex, diagnosis, zip code, treatment received, and insurance information. The distances between each person’s home residence and the nearest movement disorders center of excellence (MDC) as well as the distance to the UF-NFIND were calculated using ArcGIS 10.3. RESULTS: A total of 5.2% (355/6867) of the sample population were identified as a Medicaid/self-pay population and classified as underserved. The most common diagnoses were tic disorder (19.2%), dystonia (18.3%), and Parkinson’s disease (14.3%). In underserved persons, the median distances from their homes to the UF-NFIND (82.19 [45.79–176.93] km) vs. their nearest MDC (63.34 [26.91–121.43] km) were significantly different (p < 0.001). DISCUSSION: Underserved persons in our study travelled further to receive subspecialty care at UF-NFIND than closer MDCs. Potential reasons for underutilization of closer care could possibly include research opportunities, availability of specific treatments or procedures, insurance restrictions, and limited specialist availability. Despite this observation, underserved persons were underrepresented at our institution compared to the proportion of Medicaid/uninsured patients in Florida. Our results highlight the need for increased awareness of care options for underserved movement disorders populations.
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spelling pubmed-83961132021-09-09 Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions Giacobbe, Alaina Au, Ka Loong Kelvin Nguyen, Oliver T. Moore, Kathryn Dinh, Emily Ramirez-Zamora, Adolfo Okun, Michael S. Almeida, Leonardo Tremor Other Hyperkinet Mov (N Y) Article BACKGROUND: Movement disorders persons from underserved areas have increased barriers to access tertiary care. There is currently limited data on the geographic and demographic profile of movement disorders persons from underserved areas. METHODS: A retrospective chart review of the geographic and demographic profile of consecutive cases seen between 2002–2017 at the University of Florida Norman Fixel Institute for Neurological Diseases (UF-NFIND) was performed. Information collected included age, sex, diagnosis, zip code, treatment received, and insurance information. The distances between each person’s home residence and the nearest movement disorders center of excellence (MDC) as well as the distance to the UF-NFIND were calculated using ArcGIS 10.3. RESULTS: A total of 5.2% (355/6867) of the sample population were identified as a Medicaid/self-pay population and classified as underserved. The most common diagnoses were tic disorder (19.2%), dystonia (18.3%), and Parkinson’s disease (14.3%). In underserved persons, the median distances from their homes to the UF-NFIND (82.19 [45.79–176.93] km) vs. their nearest MDC (63.34 [26.91–121.43] km) were significantly different (p < 0.001). DISCUSSION: Underserved persons in our study travelled further to receive subspecialty care at UF-NFIND than closer MDCs. Potential reasons for underutilization of closer care could possibly include research opportunities, availability of specific treatments or procedures, insurance restrictions, and limited specialist availability. Despite this observation, underserved persons were underrepresented at our institution compared to the proportion of Medicaid/uninsured patients in Florida. Our results highlight the need for increased awareness of care options for underserved movement disorders populations. Ubiquity Press 2021-08-20 /pmc/articles/PMC8396113/ /pubmed/34513276 http://dx.doi.org/10.5334/tohm.635 Text en Copyright: © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Giacobbe, Alaina
Au, Ka Loong Kelvin
Nguyen, Oliver T.
Moore, Kathryn
Dinh, Emily
Ramirez-Zamora, Adolfo
Okun, Michael S.
Almeida, Leonardo
Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
title Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
title_full Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
title_fullStr Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
title_full_unstemmed Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
title_short Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
title_sort geospatial analysis of persons with movement disorders living in underserved regions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396113/
https://www.ncbi.nlm.nih.gov/pubmed/34513276
http://dx.doi.org/10.5334/tohm.635
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