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The Impact of Travel Time on Geographic Distribution of Dialysis Patients

BACKGROUNDS: The geographic disparity of prevalence rates among dialysis patients is unclear. We evaluate the association between travel time to dialysis facilities and prevalence rates of dialysis patients living in 1,867 census areas of Hiroshima, Japan. Furthermore, we study the effects of geogra...

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Autores principales: Kashima, Saori, Matsumoto, Masatoshi, Ogawa, Takahiko, Eboshida, Akira, Takeuchi, Keisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474791/
https://www.ncbi.nlm.nih.gov/pubmed/23082209
http://dx.doi.org/10.1371/journal.pone.0047753
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author Kashima, Saori
Matsumoto, Masatoshi
Ogawa, Takahiko
Eboshida, Akira
Takeuchi, Keisuke
author_facet Kashima, Saori
Matsumoto, Masatoshi
Ogawa, Takahiko
Eboshida, Akira
Takeuchi, Keisuke
author_sort Kashima, Saori
collection PubMed
description BACKGROUNDS: The geographic disparity of prevalence rates among dialysis patients is unclear. We evaluate the association between travel time to dialysis facilities and prevalence rates of dialysis patients living in 1,867 census areas of Hiroshima, Japan. Furthermore, we study the effects of geographic features (mainland or island) on the prevalence rates and assess if these effects modify the association between travel time and prevalence. METHODS: The study subjects were all 7,374 people that were certified as the “renal disabled” by local governments in 2011. The travel time from each patient to the nearest available dialysis facility was calculated by incorporating both travel time and the capacity of all 98 facilities. The effect of travel time on the age- and sex-adjusted standard prevalence rate (SPR) and 95% confidence intervals (CIs) at each census area was evaluated in two-level Poisson regression models with 1,867 census areas (level 1) nested within 35 towns or cities (level 2). The results were adjusted for area-based parameters of socioeconomic status, urbanity, and land type. Furthermore, the SPR of dialysis patients was calculated in each specific subgroup of population for travel time, land type, and combination of land type and travel time. RESULTS: In the regression analysis, SPR decreased by 5.2% (95% CI: −7.9–−2.3) per 10-min increase in travel time even after adjusting for potential confounders. The effect of travel time on prevalence was different in the mainland and island groups. There was no travel time-dependent SPR disparity on the islands. The SPR among remote residents (>30 min from facilities) in the mainland was lower (0.77, 95% CI: 0.71–0.85) than that of closer residents (≤30 min; 0.95, 95% CI: 0.92–0.97). CONCLUSIONS: The prevalence of dialysis patients was lower among remote residents. Geographic difficulties for commuting seem to decrease the prevalence rate.
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spelling pubmed-34747912012-10-18 The Impact of Travel Time on Geographic Distribution of Dialysis Patients Kashima, Saori Matsumoto, Masatoshi Ogawa, Takahiko Eboshida, Akira Takeuchi, Keisuke PLoS One Research Article BACKGROUNDS: The geographic disparity of prevalence rates among dialysis patients is unclear. We evaluate the association between travel time to dialysis facilities and prevalence rates of dialysis patients living in 1,867 census areas of Hiroshima, Japan. Furthermore, we study the effects of geographic features (mainland or island) on the prevalence rates and assess if these effects modify the association between travel time and prevalence. METHODS: The study subjects were all 7,374 people that were certified as the “renal disabled” by local governments in 2011. The travel time from each patient to the nearest available dialysis facility was calculated by incorporating both travel time and the capacity of all 98 facilities. The effect of travel time on the age- and sex-adjusted standard prevalence rate (SPR) and 95% confidence intervals (CIs) at each census area was evaluated in two-level Poisson regression models with 1,867 census areas (level 1) nested within 35 towns or cities (level 2). The results were adjusted for area-based parameters of socioeconomic status, urbanity, and land type. Furthermore, the SPR of dialysis patients was calculated in each specific subgroup of population for travel time, land type, and combination of land type and travel time. RESULTS: In the regression analysis, SPR decreased by 5.2% (95% CI: −7.9–−2.3) per 10-min increase in travel time even after adjusting for potential confounders. The effect of travel time on prevalence was different in the mainland and island groups. There was no travel time-dependent SPR disparity on the islands. The SPR among remote residents (>30 min from facilities) in the mainland was lower (0.77, 95% CI: 0.71–0.85) than that of closer residents (≤30 min; 0.95, 95% CI: 0.92–0.97). CONCLUSIONS: The prevalence of dialysis patients was lower among remote residents. Geographic difficulties for commuting seem to decrease the prevalence rate. Public Library of Science 2012-10-17 /pmc/articles/PMC3474791/ /pubmed/23082209 http://dx.doi.org/10.1371/journal.pone.0047753 Text en © 2012 Kashima et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kashima, Saori
Matsumoto, Masatoshi
Ogawa, Takahiko
Eboshida, Akira
Takeuchi, Keisuke
The Impact of Travel Time on Geographic Distribution of Dialysis Patients
title The Impact of Travel Time on Geographic Distribution of Dialysis Patients
title_full The Impact of Travel Time on Geographic Distribution of Dialysis Patients
title_fullStr The Impact of Travel Time on Geographic Distribution of Dialysis Patients
title_full_unstemmed The Impact of Travel Time on Geographic Distribution of Dialysis Patients
title_short The Impact of Travel Time on Geographic Distribution of Dialysis Patients
title_sort impact of travel time on geographic distribution of dialysis patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474791/
https://www.ncbi.nlm.nih.gov/pubmed/23082209
http://dx.doi.org/10.1371/journal.pone.0047753
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