Associations between spatial access to medical facilities and health-seeking behaviors: A mixed geographically weighted regression analysis in Shanghai, China

Shen, Yue; Tao, Yinhua

doi:10.1016/j.apgeog.2022.102644

Cited by 29 publications

(18 citation statements)

References 35 publications

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“…Depending on the variation in the function of primary care facilities, national studies have evaluated their accessibility in different ways. As Luo and Wang ( 66 ) define the physician's service area by threshold travel time and consider physician availability based on the demand around them in Chicago, while accessibility studies for cities such as Shanghai and Wuhan in China mostly used healthcare facilities as destinations ( 95 , 96 ). Accessibility encompasses some transportation modes, with pedestrian transportation having the strongest association with primary care facility accessibility.…”

Section: Discussionmentioning

confidence: 99%

Supply-demand balance and spatial distribution optimization of primary care facilities in highland cities from a resilience perspective: A study of Lhasa, China

Zhou

Liu

et al. 2023

Front. Public Health

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IntroductionThe development of urban resilience, which is fundamentally a balance between the supply capacity of primary care resources and the demand from urban residents, includes an appropriate architecture of primary care facilities. Resilient city construction in highland areas is hampered by the physical environment and transportation constraints and frequently encounters issues like poor accessibility and unequal distribution of primary care facilities.MethodsTo optimize the supply and demand of primary care resources in highland cities and effectively improve the resilience of urban public health, this paper assesses the distribution of primary care facilities within the built-up area of Lhasa (China) through a spatial network analysis method based on GIS, combined with population distribution data, and employs a location-allocation model to optimize the distribution.ResultsFirstly, the overall supply of primary care exceeds the overall demand, but the facilities' service area can only accommodate 59% of the residences. Secondly, there is a clear spatial variation in the accessibility of primary care facilities, and the time cost of healthcare is too high in some residences. Thirdly, the supply-demand relationship of primary care facilities is unbalanced, with both over-saturated and over-deficient areas.DiscussionAfter distribution optimization, the coverage and accessibility of primary care facilities have increased significantly, and the spatial imbalance of supply and demand has been alleviated. This paper proposes a research method to evaluate and optimize the spatial distribution of primary care facilities from multiple perspectives based on the resilience theory. The results of the study and visualization analysis methods can be used as an invaluable reference for planning the distribution of urban healthcare facilities and urban resilience construction in highland areas and other underdeveloped areas.

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Section: Discussionmentioning

confidence: 99%

Supply-demand balance and spatial distribution optimization of primary care facilities in highland cities from a resilience perspective: A study of Lhasa, China

Zhou

Liu

et al. 2023

Front. Public Health

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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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“…In order to achieve the SDGs, geospatial data and methodology can be utilised to track progress and provide a solid framework for policymaking in health-related activities (WHO, 2018). The relationships between health, place and space including analyses of geographical patterns of healthcare access, monitoring, and intervention planning is well understood (Foley, Charlton, & Fotheringham, 2009;Shen & Tao, 2022). A framework for examining the use of health services and producing alternatives, either to suggest an efficient service or to improve health services, is provided by the integration of location-allocation and accessibility models (Abdelkarim, 2019).…”

Section: Literature Review 21 Location-allocation Model In Public Hea...mentioning

confidence: 99%

Modelling Accessibility to Primary Healthcare Facilities in Argungu LGA: Using Multiscale Geographically Weighted Regression (MSGWR) Approach

Gulma¹,

Ibrahim²,

Bala³

2022

IJMRA

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This study uses socioeconomic and demographic data to demonstrate the value of a novel multidimensional approach to healthcare accessibility. The optimum location for healthcare facilities in relation to demand areas was determined using location-allocation models and local multiscale geographically weighted regression (MGWR) to explore spatially non-stationary relationships. The result shows that the potential accessibility of a community to primary healthcare depends on the geographic and socioeconomic characteristics of various places. The results of this study may be used to inform policy planning and decision-making for increasing accessibility to healthcare services, particularly in rural areas for achieving the Sustainable Development Goals (SDGs).

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Associations between spatial access to medical facilities and health-seeking behaviors: A mixed geographically weighted regression analysis in Shanghai, China

Cited by 29 publications

References 35 publications

Supply-demand balance and spatial distribution optimization of primary care facilities in highland cities from a resilience perspective: A study of Lhasa, China

Supply-demand balance and spatial distribution optimization of primary care facilities in highland cities from a resilience perspective: A study of Lhasa, China

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

Modelling Accessibility to Primary Healthcare Facilities in Argungu LGA: Using Multiscale Geographically Weighted Regression (MSGWR) Approach

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