Spatial access to primary care providers and colorectal cancer‐specific survival in Cook County, Illinois

Freeman, Vincent L.; Naylor, Keith; Boylan, Emma E.; Booth, Benjamin J.; Pugach, Oksana; Barrett, Richard; McLafferty, Sara

doi:10.1002/cam4.2957

Cited by 18 publications

(13 citation statements)

References 40 publications

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“…A novel coronavirus disease (COVID- 19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has widely spread worldwide. As of April 10, 2020, about 1.6 million COVID-19 cases have been confirmed in the world; and in the United States alone, over 475,000 people have been infected with more than 17,000 deaths.…”

Section: Introductionmentioning

confidence: 99%

“…Measuring spatial accessibility to healthcare resources has long been of interest to public health research. Examples include healthcare access for seniors [ 16 , 17 ], disabled people [ 18 ], cancer-specific survivals [ 19 , 20 ], examining spatial accessibility among populations with multiple transportation modes [ 21 , 22 ], and access to specific health care treatments such as mammograms [ 23 ]. Spatial accessibility of healthcare resources can be measured by spatial interactions between the amount of supplies (e.g., the number of hospital beds or physicians) and demands along with the distance and travel time between the locations of healthcare resources and those of residential areas.…”

Section: Introductionmentioning

confidence: 99%

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Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA

et al. 2020

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Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and caused hundreds of thousands of deaths. While COVID-19 has overwhelmed healthcare resources (e.g., healthcare personnel, testing resources, hospital beds, and ventilators) in a number of countries, limited research has been conducted to understand spatial accessibility of such resources. This study fills this gap by rapidly measuring the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. Method The rapid measurement is achieved by resolving computational intensity of an enhanced two-step floating catchment area (E2SFCA) method through a parallel computing strategy based on cyberGIS (cyber geographic information science and systems). The E2SFCA has two major steps. First, it calculates a bed-to-population ratio for each hospital location. Second, it sums these ratios for residential locations where hospital locations overlap. Results The comparison of the spatial accessibility measures for COVID-19 patients to those of population at risk identifies which geographic areas need additional healthcare resources to improve access. The results also help delineate the areas that may face a COVID-19-induced shortage of healthcare resources. The Chicagoland, particularly the southern Chicago, shows an additional need for resources. This study also identified vulnerable population residing in the areas with low spatial accessibility in Chicago. Conclusion Rapidly measuring spatial accessibility of healthcare resources provides an improved understanding of how well the healthcare infrastructure is equipped to save people’s lives during the COVID-19 pandemic. The findings are relevant for policymakers and public health practitioners to allocate existing healthcare resources or distribute new resources for maximum access to health services.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA

et al. 2020

Self Cite

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“…Measuring spatial accessibility to healthcare resources has long been of interest to public health research. Examples include healthcare access for seniors (Gu et al, 2009; Paez et al, 2010), disabled people (Church and Marston, 2003), cancer-specific survivals (Freeman et al, 2020; Wan et al, 2012), examining spatial accessibility among populations with multiple transportation modes (Mao and Nekorchuk, 2013; Kaur Khakh et al, 2019), and access to specific health care treatments such as mammograms (Henry et al, 2013). Spatial accessibility of healthcare resources can be measured by spatial interactions between the amount of supplies (e.g., the number of hospital beds or physicians) and demands along with the distance and travel time between the locations of healthcare resources and those of residential areas.…”

Section: Introductionmentioning

confidence: 99%

Rapidly Measuring Spatial Accessibility of COVID-19 Healthcare Resources: A Case Study of Illinois, USA

Kang

Michels

Lyu

et al. 2020

Preprint

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19) pandemic, has infected millions of people and caused hundreds of thousands of deaths. While COVID-19 has overwhelmed healthcare resources (e.g., healthcare personnel, testing resources, hospital beds, and ventilators) in a number of countries, limited research has been conducted to understand spatial accessibility of such resources. This study fills this gap by rapidly measuring the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. Specifically, the rapid measurement is achieved by resolving computational intensity of an enhanced two-step floating catchment area (E2SFCA) method through a parallel computing strategy based on cyberGIS (cyber geographic information science and systems). The study compared the spatial accessibility measures for COVID-19 patients to those of general population, identifying which geographic areas need additional healthcare resources to improve access. The results also help delineate the areas that may face a COVID-19-induced shortage of healthcare resources caused by COVID-19. The Chicagoland, particularly the southern Chicago, shows an additional need for resources. Our findings are relevant for policymakers and public health practitioners to allocate existing healthcare resources or distribute new resources for maximum access to health services.. CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)

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“…Health problems faced by human beings were influenced by the following aspects [2]. First, the time [3] and space [4] on which human beings depend for survival constitutes the objective basis for the development of human society [5]. The second reason was the basic living necessities.…”

Section: Introductionmentioning

confidence: 99%

Mapping of female breast cancer incidence and mortality rates to socioeconomic factors cohort: Path diagram analysis

Peng

Ren

Cheng

et al. 2020

Preprint

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BACKGROUND: Breast cancer is the leading cause of death in females around the world. Its occurrence and development has been linked to genetic factors, living habits and health conditions, and socioeconomic factors. Comparisons of incidence and mortality rates of female breast cancer are useful approaches to define cancer-related socioeconomic disparities. METHODS: This was a retrospective observational cohort study on breast cancer of females in several developed countries between 1980 and 2012. The path diagram analysis for five factors, i.e. years, population, gross domestic product, gross domestic product per capita, and unemployment rate, were conducted using Excel database function, and the effects on breast cancer incidence and mortality rates were analyzed. International Agency for Research on Cancer's CANCERMondial clearinghouse was used to determine the incidence and mortality rates of female breast cancer data from several developed countries for 1980–2012. RESULTS: The relationship between socioeconomic factors and the occurrence and development of breast cancer did not follow a monotonic function. We found a positive, significant association of national public wealth on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are -0.51 and -0.39, respectively. In addition to the significant relationship between individual physical and psychological characteristics, social pressure, such as unemployment rate has a significant impact on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are all 0.2. The path coefficients of individual economic wealth to the incidence rate and mortality rate of breast cancer is 0.18 and 0.27, respectively. CONCLUSIONS: A significant statistical relationship between the socioeconomic development and the crude rates of female breast cancer was shown in this study. The incidence and mortality rates of breast cancer can be regulated effectively by a moderate increase in national public wealth, and clearly was affected by the individual’s economic wealth. In addition, the influence of social pressure (e.g., unemployment rate) on the incidence and mortality of breast cancer was not typical monotonous. The survival rate of breast cancer determined by the ratio of mortality rate to incidence rate also showed a similar pattern with socioeconomic factors.

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Spatial access to primary care providers and colorectal cancer‐specific survival in Cook County, Illinois

Cited by 18 publications

References 40 publications

Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA

Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA

Rapidly Measuring Spatial Accessibility of COVID-19 Healthcare Resources: A Case Study of Illinois, USA

Mapping of female breast cancer incidence and mortality rates to socioeconomic factors cohort: Path diagram analysis

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