An evaluation of alternative measures of accessibility for investigating potential ‘deprivation amplification’ in service provision

Page, Nicholas; Langford, Mitchel; Higgs, Gary

doi:10.1016/j.apgeog.2018.04.003

Cited by 21 publications

(15 citation statements)

References 42 publications

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“…More generally, the 2SFCA method considers the geographical distribution of patients and physicians. Another advantage of this method is that the method can control capacity restrictions, local competition for services, and cross-border healthcare-seeking behavior ( Neutens, 2015 ; Page et al, 2018 ). However, the method also has a limitation, which is the overestimation of patient demand since local needs are redundantly calculated at the physician locations.…”

Section: Introductionmentioning

confidence: 99%

Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida

et al. 2021

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Healthcare resource availability is potentially associated with COVID-19 mortality, and the potentially uneven geographical distribution of resources is a looming concern in the global pandemic. Given that access to healthcare resources is important to overall population health, assessing COVID-19 patients' access to healthcare resources is needed. This paper aims to examine the temporal variations in the spatial accessibility of U.S. COVID-19 patients to medical facilities, identify areas that are likely to be overwhelmed by the COVID-19 pandemic, and explore associations of low access areas with their socioeconomic and demographic characteristics. We use a three-step floating catchment area method, spatial statistics, and logistic regression to achieve the goals. Findings of this research in the State of Florida revealed that North Florida, rural areas, and zip codes with more Latino or Hispanic populations are more likely to have lower access than other regions during the COVID-19 pandemic. Our approach can help policymakers identify potentially possible low access areas and establish appropriate policy intervention paying attention to those areas during a pandemic.

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Section: Introductionmentioning

confidence: 99%

Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida

et al. 2021

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“…None of the above methods take into account the relationship between supply and demand [18]. Therefore, with the development of GIS techniques and tools, the 2S floating catchment area (2SFCA) method, based on the gravity model, has been used more and more often to test access to medical services [18,19,26]. This method, despite its numerous advantages, may overestimate local demand for services, leading to a disturbance in the demand-supply ratio [32].…”

Section: Methodsmentioning

confidence: 99%

“…For greater accuracy of analysis, the locations of the points were based on the locations of the main settlement names from the National Register of Geographic Names. Such names were usually located in the centre of the largest settlement, which, in the absence of more detailed population data, had a similar effect as the population weighted centroid determination used by Page et al [18]. In total, the research covered 41,603 rural statistical localities.…”

Section: Localitiesmentioning

confidence: 99%

Spatial Accessibility of Primary Health Care in Rural Areas in Poland

Lechowski

Jasion

2021

IJERPH

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The aim of the study was to assess the spatial accessibility of basic and universal healthcare (understood as primary healthcare (PHC) facilities) in rural statistical localities in Poland. Data from the National Health Fund, Central Statistical Office, National Register of Geographic Names and OpenStreetMap were used in the research. The research was carried out on the basis of modelled distance from the rural statistical localities to the nearest PHC facility. The methods used included network analysis, characteristics of normal point distribution, Theil index, and spatial autocorrelation. Areas where the greatest shortages of access to PHC facilities occurred were indicated on the basis of the analysis of their clustering density. The average distance from rural statistical localities in Poland to PHC facilities is about 5 km. Slightly more than 70% of the distance values are within one standard deviation of the mean. Better access to the examined healthcare facilities is available in the southern and central parts of Poland, while northern and eastern Poland, as well as the border areas, suffer from lower accessibility. Poor access to PHC occurs first of all at the border of Greater Poland Voivodeship with the Kuyavian–Pomeranian Voivodeship, on the border of the Lodz Voivodeship, in Masovian and Swietokrzyskie Voivodeship, and in the ring surrounding Warsaw, as well as in the Pomeranian Voivodeship. The research findings can be used to develop strategies to improve the accessibility of primary care facilities in rural areas.

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“…Due to the scarcity or low credibility of relevant data, it is infeasible to include such information in the analysis of road network data. In the evaluation of factors that affect geographic accessibility, the study took reference from the research method of Page et al [ 28 ]. While retrieving data for the analysis of transportation influencing factors, the road network data in government open data representing actual route distances were adopted instead of the traditional map distances (the linear distance between two points) to reduce the error.…”

Section: Methodsmentioning

confidence: 99%

Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism

Tseng

Cai

2020

IJERPH

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Identifying and treating co-existing diseases are essential in healthcare for the elderly, while physical rehabilitation care teams can provide interdisciplinary geriatric care for the elderly. To evaluate the appropriateness of demand and supply between the population at demand and physical rehabilitation resources, a comparative analysis was carried out in this study. Our study applied seven statistical indices to assess five proposed methods those considered different factors for geographic accessibility analysis. Google ratings were included in the study as a crucial factor of choice probability in the equation for calculating the geographic accessibility scores, because people’s behavioral decisions are increasingly dependent on online rating information. The results showed that methods considering distances, the capacity of hospitals, and Google ratings’ integrally generated scores, are in better accordance with people’s decision-making behavior when they determine which resources of physical rehabilitation to use. It implies that concurrent considerations of non-spatial factors (online ratings and sizes of resource) are important. Our study proposed an integrated assessment method of geographical accessibility scores, which includes the spatial distribution, capacity of resources and online ratings in the mechanism. This research caters to countries that provide citizens with a higher degree of freedom in their medical choices and allows these countries to improve the fairness of resource allocation, raise the geographic accessibilities of physical rehabilitation resources, and promote aging in place.

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An evaluation of alternative measures of accessibility for investigating potential ‘deprivation amplification’ in service provision

Cited by 21 publications

References 42 publications

Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida

Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida

Spatial Accessibility of Primary Health Care in Rural Areas in Poland

Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism

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