Spatial inequalities in preventive breast cancer care: A comparison of different accessibility approaches for prevention facilities in Bavaria, Germany

Rauch, Sebastian; Stangl, Stephanie; Haas, T.; Rauh, Jürgen; Heuschmann, Peter U.

doi:10.1016/j.jth.2023.101567

Cited by 9 publications

(5 citation statements)

References 40 publications

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“…Methods used to calculate and develop medical accessibility vary, and many of them are based on spatial analysis using GIS. For example, studies using floating catchment as a tool for analysis [8][9][10][11]. These studies evaluated medical accessibility using a floating catchment area, considering the distance to medical facilities and their location.…”

Section: Studies Focusing On Elderly Patients Living In Depopulated A...mentioning

confidence: 99%

“…Finally, while the study of Ide et al [7] is similar to this study as it conducted geographical information-type analysis using GIS, this study carries out quantitative assessment by considering the regional characteristics of the analysis target area, such as the difference in elevation and distance to a bus stop. In addition, research cases outside Japan [8][9][10][11][12][13][14][15][16][17][18] have calculated accessibility using GIS, taking into account the location of medical facilities, road networks, etc. This is similar to this study, however, this study utilizes medical big data (KDB data) to calculate the number of patients actually living in areas with low medical accessibility.…”

Section: Positioning Of This Study Based On Prior Studiesmentioning

confidence: 99%

“…These variables were set based on the accessibility index of public facilities developed by the Ministry of Land, Infrastructure, Transport and Tourism in Japan, taking into account the distance to the target facility, public transportation network, and road network. In addition, information on the road network and the location of medical facilities were also taken into account, with reference to the study by Rauch, S. et al [9].…”

Section: Assessment Of the Difficulty In Visiting The Hospitalmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative Evaluation of Difficulty in Visiting Hospitals for Elderly Patients in Depopulated Area in Japan: Using National Health Insurance Data

Morisaki,

Fujiu,

Takayama

et al. 2023

Sustainability

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Depopulation is occurring in rural areas of Japan due to the outflow of the population to urban areas, the declining birthrate, and the aging population. Within depopulated areas, there is a problem of declining accessibility to medical facilities due to the decline of the medical system and transportation infrastructure. Therefore, measuring accessibility to medical facilities in underpopulated areas is an important issue. In this study, we calculated an accessibility index (APMI) to medical facilities in underpopulated areas in Japan using geographical information such as elevation, distance to medical facilities, and distance to bus stops. Furthermore, we estimated the number of patients who are considered to have difficulty visiting hospitals by using the National Health Insurance data (KDB) owned by all local governments in Japan. Through the analysis in this study, it became clear that accessibility was extremely low in the mountainous area of Hakui, Ishikawa Prefecture, and the number of patients living there could be determined. In addition, priority areas for improving the environment for visiting the hospital were identified.

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Section: Studies Focusing On Elderly Patients Living In Depopulated A...mentioning

confidence: 99%

Section: Positioning Of This Study Based On Prior Studiesmentioning

confidence: 99%

Section: Assessment Of the Difficulty In Visiting The Hospitalmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Evaluation of Difficulty in Visiting Hospitals for Elderly Patients in Depopulated Area in Japan: Using National Health Insurance Data

Morisaki,

Fujiu,

Takayama

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Gravity models figure in this family of indicators [ 4 , 5 , 6 ] and all models derived from them [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. The most widely used version of these models is the Two-Step Floating Catchment Area model, 2SFCA [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial Accessibility to Primary Care in Metropolitan France: Results Using the SCALE Spatial Accessibility Index for All Regions

Launay,

Guillot,

Medjkane

et al. 2024

IJERPH

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Accessibility to care is a major public health issue. Various tools to assess it are available, but they do not solve the problem of scale. Moreover, accessibility is a multidimensional concept that is not taken into account with current tools. The SCALE index aims to overcome these two limitations by proposing a synthetic measure on a more precise scale than the administrative unit or the sub-municipal scale. Under the assumption of access to care facilities for all and access to the nearest facilities, the potential accessibility distance was calculated for each couple (residential area, accessible facilities). This was defined as the average distance by road that the population has to travel to access care. To take the availability of resources into account, these distances were weighted by the theoretical pressure on the facilities. The SCALE index was then calculated using a linear combination of the distances of potential accessibility to care facilities It highlights differences in accessibility at the national and regional scale. Using this index, it was possible to provide maps for all French regions and the major cities in a story-map. The major conurbation around Paris and the main urban centers has high accessibility. Low accessibility forms a “Y” shape. In conclusion, the SCALE index measures accessibility at the scale of a small geographic unit taking the proximity and the availability of health professionals into account. It is also possible to take into account the diversity of accessibility in a given territory.

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“…In the age of Big Data, the mature use of GIS and other technologies has made it possible to objectively assess the state of expansion of community service facilities [9] . POI data has multidimensional information that can represent the configuration of residential facilities in all aspects.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution characteristics of community service facilities in Shangcheng District of Hangzhou, China

Shi,

2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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In the smart city development phase, the construction of community service facilities plays an important role in creating future communities and convenient living circles. With the continuous maturity of big data and GIS spatial analysis technologies, it is possible to make objective quantitative assessment of the construction of community service facilities and provide scientific decisions for future planning and layout. Our objective was to analyze the current spatial distribution characteristics of community service facilities in the Shangcheng District of Hangzhou, Zhejiang Province, China. We processed, counted and visualized the data from POI (Point of Interest) using the nearest-neighbor distance method and kernel density analysis in the ArcGIS platform. The results showed that, in terms of quantitative characteristics, the number of financial and cultural facilities was relatively low, making it difficult to achieve full coverage of residential land. In terms of layout, dining, transportation, shopping, and education facilities were arranged around the residential areas, while cultural, leisure and medical facilities were arranged along the city's primary roads or metro lines. In terms of clustering, the HB (Hubin) section was characterized by high density and large area clusters, indicating a highly developed system of community services and facilities. The GBNT (Genbei New Town) section showed a low-density and point pattern, indicating a poorly backward system of community services and facilities and needs to be improved and optimized.

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Spatial inequalities in preventive breast cancer care: A comparison of different accessibility approaches for prevention facilities in Bavaria, Germany

Cited by 9 publications

References 40 publications

Quantitative Evaluation of Difficulty in Visiting Hospitals for Elderly Patients in Depopulated Area in Japan: Using National Health Insurance Data

Quantitative Evaluation of Difficulty in Visiting Hospitals for Elderly Patients in Depopulated Area in Japan: Using National Health Insurance Data

Spatial Accessibility to Primary Care in Metropolitan France: Results Using the SCALE Spatial Accessibility Index for All Regions

Spatial distribution characteristics of community service facilities in Shangcheng District of Hangzhou, China

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