Does the regional deprivation impact the spatial accessibility to dental care services?

The aim of the present study was to assess the regional deprivation and individual factors that influence how far a person will travel to access dental care. Using data from the Korea Health Panel (2008 to 2011), we selected a group of 4,256 subjects and geocoded their homes and dental hospitals/cli...

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Main Authors: Hosung Shin, Eunsuk Ahn
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6128603?pdf=render
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spelling doaj-e1aa9502387f4f2e84d9620869d760202020-11-24T21:32:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01139e020364010.1371/journal.pone.0203640Does the regional deprivation impact the spatial accessibility to dental care services?Hosung ShinEunsuk AhnThe aim of the present study was to assess the regional deprivation and individual factors that influence how far a person will travel to access dental care. Using data from the Korea Health Panel (2008 to 2011), we selected a group of 4,256 subjects and geocoded their homes and dental hospitals/clinics. Using the road network analysis, we calculated the distance traveled by the subjects for dental care. We used the generalized estimating equation (GEE) for repeated data analysis and included an interaction term between regional deprivation and individual income to determine the effects of the two factors on the choice of a dental hospital/clinic. When the regional deprivation index was divided into three quarters (high, middle, and low), urban areas had higher"high" and "low" levels of deprivation, and rural areas had relatively higher middle level of deprivation. GEE regression showed that the level of education, regional deprivation level, and income all affected the distance traveled to dental clinics. The regional deprivation level had a higher association than income with the travel distance. At the same income level, subjects who lived in the least deprived areas were more likely to travel longer distances than subjects living in the most deprived areas. Regarding the distribution of dental hospitals/clinics, incentive based dental polices for either dental providers or patients are needed that will assure the delivery of dental care despite spatial inequality.http://europepmc.org/articles/PMC6128603?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Hosung Shin
Eunsuk Ahn
spellingShingle Hosung Shin
Eunsuk Ahn
Does the regional deprivation impact the spatial accessibility to dental care services?
PLoS ONE
author_facet Hosung Shin
Eunsuk Ahn
author_sort Hosung Shin
title Does the regional deprivation impact the spatial accessibility to dental care services?
title_short Does the regional deprivation impact the spatial accessibility to dental care services?
title_full Does the regional deprivation impact the spatial accessibility to dental care services?
title_fullStr Does the regional deprivation impact the spatial accessibility to dental care services?
title_full_unstemmed Does the regional deprivation impact the spatial accessibility to dental care services?
title_sort does the regional deprivation impact the spatial accessibility to dental care services?
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description The aim of the present study was to assess the regional deprivation and individual factors that influence how far a person will travel to access dental care. Using data from the Korea Health Panel (2008 to 2011), we selected a group of 4,256 subjects and geocoded their homes and dental hospitals/clinics. Using the road network analysis, we calculated the distance traveled by the subjects for dental care. We used the generalized estimating equation (GEE) for repeated data analysis and included an interaction term between regional deprivation and individual income to determine the effects of the two factors on the choice of a dental hospital/clinic. When the regional deprivation index was divided into three quarters (high, middle, and low), urban areas had higher"high" and "low" levels of deprivation, and rural areas had relatively higher middle level of deprivation. GEE regression showed that the level of education, regional deprivation level, and income all affected the distance traveled to dental clinics. The regional deprivation level had a higher association than income with the travel distance. At the same income level, subjects who lived in the least deprived areas were more likely to travel longer distances than subjects living in the most deprived areas. Regarding the distribution of dental hospitals/clinics, incentive based dental polices for either dental providers or patients are needed that will assure the delivery of dental care despite spatial inequality.
url http://europepmc.org/articles/PMC6128603?pdf=render
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