Evidence map›Paper›PMID 34513276›Full record

ArticleTremor and other hyperkinetic movements (New York, N.Y.)2021

Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions.

Alaina Giacobbe, Ka Loong Kelvin Au, Oliver T Nguyen, Kathryn Moore, Emily Dinh, Adolfo Ramirez-Zamora, Michael S Okun, Leonardo Almeida

Open access · goldAbstract read
In one paragraph

Article in Tremor and other hyperkinetic movements (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Alaina GiacobbeUniversity of Pittsburgh Medical Center, Department of Neurology, Pittsburgh, Pennsylvania, US.
Ka Loong Kelvin AuUniversity of Florida, Department of Neurology, Gainesville, Florida, US.ORCID 0000-0001-6604-6384
Oliver T NguyenUniversity of Florida, Department of Neurology, Gainesville, Florida, US.ORCID 0000-0003-2852-7106
Kathryn MooreUniversity of Florida, Department of Neurology, Gainesville, Florida, US.ORCID 0000-0002-8483-1148
Emily DinhUniversity of Florida, Department of Neurology, Gainesville, Florida, US.
Adolfo Ramirez-ZamoraUniversity of Florida, Department of Neurology, Gainesville, Florida, US.ORCID 0000-0001-9253-3899
Michael S OkunUniversity of Florida, Department of Neurology, Gainesville, Florida, US.ORCID 0000-0002-6247-9358
Leonardo AlmeidaUniversity of Florida, Department of Neurology, Gainesville, Florida, US.ORCID 0000-0002-0921-887X
University of Florida · USUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

MedicaidMovement DisordersHumansMedically Underserved AreaRetrospective StudiesUnited StatesgeographyMovement Disordersspatial analysisunderserved

Identifiers

PMID34513276
PMCPMC8396113
OpenAlexW3193784260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.