Driving to Childhood Cancer Hub Hospitals: A Study on Hospital Accessibility in Japan

Tsutsui, Anna; Taniyama, Yukari; Ohno, Yuko

doi:10.31557/apjcp.2020.21.6.1725

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…The most important issue in this process is efficiency. This process is mainly affected by the following aspects: (1) the specific location, grade, scale, and quantity of medical institutions (Joumard et al, 2010; Kim et al, 2011); (2) the actual situation of the urban traffic network, the distance of urban residents from urban medical institutions, and so on (Huotari et al, 2017; Tsutsui et al, 2020); (3) the residents’ own conditions, including population size, individual income, and preference for medical treatment (Kobayashi et al, 2013; Shen and Tao, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating Accessibility of Hospitals in Cold Regions: A Case Study of Harbin in China

Xia

et al. 2022

HERD

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Objective: The objective of this study is to explore healthcare resource accessibility in Harbin, a typical city in a cold region in China. Background: Recently, investments in the construction of medical resources have been increasing annually in China, and consequently, the allocation of these resources has improved. Snow and ice on surfaces in China’s cold regions have certain effects on the traffic capacity of urban roads, leading to a great difference in the accessibility of medical resources in winter and summer. Methods: The basic spatial data, including spatial road data, medical facility data, and population distribution data, are analyzed using geographic information system. Then, a spatial barrier model is used to measure healthcare accessibility based on geographic and population weighting; we explore the accessibility of hospitals under the influence of weather by defining a novel distance attenuation function. Finally, the accessibility of medical institutions in the study area is explored by analyzing data about the related separation factors. Results: It was found that the spatial distribution of medical resources was not equal, and the dominant resources were concentrated in the city center. Some regions are always in an advantageous position regardless of traffic conditions. In contrast, in areas far from the city center, the accessibility of medical resources significantly decreases in winter. Conclusions: These results will help optimize the layout of medical institutions and improve medical equality and propose strategies for the optimization of the accessibility of urban medical institutions in cold regions of China.

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Section: Literature Reviewmentioning

confidence: 99%

Investigating Accessibility of Hospitals in Cold Regions: A Case Study of Harbin in China

Xia

et al. 2022

HERD

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“…In Japan, specialized hospitals for childhood cancer have been established since 2013, when the second term of the Basic Plan to Promote Cancer Control Programs was developed [ 17 ]. The average travel duration from municipalities to the nearest specialized hospital for the 15 childhood cancer-hub hospitals is estimated at 1.8 h [ 18 ]. Most parents of children with cancer agreed with treatment centralization but disagreed with a travel duration of greater than 1 h each way [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Travel burdens to access care among children with cancer between 2016 and 2019: Analysis of a national population-based cancer registry in Japan

Tsutsui,

Murakami,

Okamura

et al. 2024

PLoS ONE

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Background Centralization of cancer care increases survival but increases the travel burden (i.e., travel durations, distances, and expenditures) in visiting hospitals. This study investigated the travel burdens to access cancer care for children aged 18 years and younger in Japan. Methods The study population comprised 10,709 patients diagnosed between 2016 and 2019 obtained from a national population-based cancer registry in Japan. Their residences were classified as urban or rural. We counted the number of patients treated at specialized hospitals and investigated the treatment centralization across diagnostic groups by Pareto plot. Travel burdens to access care were estimated using a route-planner web service and summarized using median values. A multivariable logistic model was performed to investigate factors associated with the events of car travel duration exceeding 1 h. Results Of the patients, 76.7% lived in urban areas, and 82.5% received treatment in designated hospitals for childhood cancer. The Pareto plot suggested that the top five hospitals treated 63.5% of patients with retinoblastoma. The estimated travel burdens for all patients were 0.62 h (0.57 h in urban areas and 1.00 h in rural areas), 16.9 km, and 0.0 dollars of toll charges. Regarding travel duration, 21.7% of patients had travel exceeding 1 h, and rural areas, retinoblastoma, malignant bone tumors, and childhood cancer-hub hospitals were associated with travel duration exceeding 1 h (adjusted odds ratios of 6.93, 3.59, 1.94, and 1.91, respectively). Conclusions Most patients were treated in specialized hospitals and the treatments for specific diseases were centralized. However, most patients were estimated to travel less than 1 h, and the travel burden tended to increase for patients in rural areas, those with specific diseases, and those going to specialized hospitals. Cancer control measures in Japan have steadily improved centralized treatment while keeping the travel burden relatively manageable.

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“…In the current literature, the majority of studies on medical resources have focused on three aspects. The first aspect is analysis of the spatial distribution characteristics between medical resources and community residents, such as the spatial distribution characteristics of various health resources in cities [ 8 ], the inequality of resource distribution [ 9 ], the spatial configuration of medical resources at different levels in different regions [ 10 ], and the supply mode and accessibility to medical resources [ 11 ]. Such studies frequently use regression models, such as ordinary least squares regression (OLS) [ 12 ], geographically weighted regression (GWR) [ 13 , 14 ], and logistic regression (LR) [ 15 ], to model and explain spatial patterns.…”

Section: Introductionmentioning

confidence: 99%

Analysing the global and local spatial associations of medical resources across Wuhan city using POI data

Qiao

Cheng

2023

BMC Health Serv Res

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Background There is a sharp contradiction between the supply and demand of medical resources in the provincial capitals of China. Understanding the spatial patterns of medical resources and identifying their spatial association and heterogeneity is a prerequisite to ensuring that limited resources are allocated fairly and optimally, which, along with improvements to urban residents’ quality of life, is a key aim of healthy city planning. However, the existing studies on medical resources pattern mainly focus on their spatial distribution and evolution characteristics, and lack the analyses of the spatial co-location between medical resources from the global and local perspectives. It is worth noting that the research on the spatial relationship between medical resources is an important way to realize the spatial equity and operation efficiency of urban medical resources. Methods Localized colocation quotient (LCLQ) analysis has been used successfully to measure directional spatial associations and heterogeneity between categorical point data. Using point of interest (POI) data and the LCLQ method, this paper presents the first analysis of spatial patterns and directional spatial associations between six medical resources across Wuhan city. Results (1) Pharmacies, clinics and community hospitals show “multicentre + multicircle”, “centre + axis + dot” and “banded” distribution characteristics, respectively, but specialized hospitals and general hospitals present “single core” and “double core” modes. (2) Overall, medical resources show agglomeration characteristics. The degrees of spatial agglomeration of the five medical resources, are ranked from high to low as follows: pharmacy, clinic, community hospital, special hospital, general hospital and 3A hospital. (3) Although pharmacies, clinics, and community hospitals of basic medical resources are interdependent, specialized hospitals, general hospitals and 3A hospitals of professional medical resources are also interdependent; furthermore, basic medical resources and professional medical resources are mutually exclusive. Conclusions Government and urban planners should pay great attention to the spatial distribution characteristics and association intensity of medical resources when formulating relevant policies. The findings of this study contribute to health equity and health policy discussions around basic medical services and professional medical services.

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Driving to Childhood Cancer Hub Hospitals: A Study on Hospital Accessibility in Japan

Cited by 5 publications

References 14 publications

Investigating Accessibility of Hospitals in Cold Regions: A Case Study of Harbin in China

Investigating Accessibility of Hospitals in Cold Regions: A Case Study of Harbin in China

Travel burdens to access care among children with cancer between 2016 and 2019: Analysis of a national population-based cancer registry in Japan

Analysing the global and local spatial associations of medical resources across Wuhan city using POI data

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