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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ubiquity Press
2021
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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. |
format | Online Article Text |
id | pubmed-8396113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
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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