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The Impact of Travel Time on Geographic Distribution of Dialysis Patients

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  • Saori Kashima
  • Masatoshi Matsumoto
  • Takahiko Ogawa
  • Akira Eboshida
  • Keisuke Takeuchi

Abstract

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.

Suggested Citation

  • Saori Kashima & Masatoshi Matsumoto & Takahiko Ogawa & Akira Eboshida & Keisuke Takeuchi, 2012. "The Impact of Travel Time on Geographic Distribution of Dialysis Patients," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-8, October.
    • Handle: RePEc:plo:pone00:0047753
    DOI: 10.1371/journal.pone.0047753
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    1. Shunichi Fukuhara & Chikao Yamazaki & Yasuaki Hayashino & Takahiro Higashi & Margaret Eichleay & Takashi Akiba & Tadao Akizawa & Akira Saito & Friedrich Port & Kiyoshi Kurokawa, 2007. "The organization and financing of end-stage renal disease treatment in Japan," International Journal of Health Economics and Management, Springer, vol. 7(2), pages 217-231, September.
    2. Smyth Gordon K, 2004. "Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-28, February.
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