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

Using laws, common sense, and statistical approaches to design indicators for 'medical desertification'. An application on the Romanian case

The study of spatial accessibility to healthcare services is key to health policy (Pförtner et al., 2019; Vergier et al., 2017). Terms such as 'rurality' or 'medical desertification' were employed to stress the relevance of the topic. Within the existing literature, there is little (if any) concern with the legitimacy of the existing ways to measure inequality. Expert systems were assumed to be in place, and discrepancies or consistency with existing regulations or to views of relevant stakeholders were not considered. This paper discusses spatial accessibility of medical services in three distinct approaches: normative, that is following what national regulations consider as standard; relative, that is what statistical approaches reveal; consensual, which adjusts the indexes based on representations of stakeholders. The three approaches are compared for the case of Romania, an EU country with low population density, ideal to inspect geographical discrepancies. For the relative and the consensual approach, population is adjusted according to different demand expressed by age groups, and also including population and providers from the nearby localities. The normative approach follows official regulations. The refinements in the consensual model are based on survey data from stakeholders and consider distances to neighbouring localities and adjustments according to the age structure of the population in the catchment area. The results reveal high consistency between the consensual and the relative approach. Both are more permissive with respect to detecting medical desertification as compared to the normative approach but prove to be more effective in directing policy when resources are scarce. The normative approach, however, is relevant in depicting the state of the system as contrasted to a desired standard. The relative approach also overlaps with the consensual one. Therefore, to fully characterize spatial accessibility to general practitioners (GPs) and pharmacies, one needs to consider at least the normative and the relative approaches.

Greater spatial access to care is associated with lower mortality for emergency general surgery

BACKGROUND

Emergency general surgery (EGS) diseases are time-sensitive conditions that require urgent surgical evaluation, yet the effect of geographic access to care on outcomes remains unclear. We examined the association of spatial access with outcomes for common EGS conditions.

METHODS

A retrospective analysis of twelve 2014 State Inpatient Databases, identifying adults admitted with eight EGS conditions, was performed. We assessed spatial access using the spatial access ratio (SPAR)-an advanced spatial model that accounts for travel distance, hospital capacity, and population demand, normalized against the national mean. Multivariable regression models adjusting for patient and hospital factors were used to evaluate the association between SPAR with (a) in-hospital mortality and (b) major morbidity.

RESULTS

A total of 877,928 admissions, of which 104,332 (2.4%) were in the lowest-access category (SPAR, 0) and 578,947 (66%) were in the high-access category (SPAR, ≥1), were analyzed. Low-access patients were more likely to be White, male, and treated in nonteaching hospitals. Low-access patients also had higher incidence of complex EGS disease (low access, 31% vs. high access, 12%; p < 0.001) and in-hospital mortality (4.4% vs. 2.5%, p < 0.05). When adjusted for confounding factors, including presence of advanced hospital resources, increasing spatial access was protective against in-hospital mortality (adjusted odds ratio, 0.95; 95% confidence interval, 0.94-0.97; p < 0.001). Spatial access was not significantly associated with major morbidity.

CONCLUSION

This is the first study to demonstrate that geospatial access to surgical care is associated with incidence of complex EGS disease and that increasing spatial access to care is independently associated with lower in-hospital mortality. These results support the consideration of spatial access in the development of regional health systems for EGS care.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic; Level III.

Temporal-Spatial Evolution and Trend Prediction of the Supply Efficiency of Primary Medical Health Service-An Empirical Study Based on Central and Western Regions of China

China has established a comprehensive primary medical health service system, but the development of primary medical health services in the central and western regions is still unbalanced and insufficient. Based on data from 2010 to 2019, this paper constructs a super efficiency Slack-Based Measure model to calculate the supply efficiency of primary medical health services in 20 provinces and cities in central and western China. Using Kernel density estimation and Markov chain analysis, this paper further analyzes the spatial-temporal evolution of the supply efficiency of primary medical health services in central and western China, and also predicts the future development distribution through the limiting distribution of Markov chain to provide a theoretical basis for promoting the sinking of high-quality medical resources to the primary level. The results show that firstly, during the observation period, the center of the Kernel density curve moves to the left, and the main peak value decreases continuously. The main diagonal elements of the traditional Markov transition probability matrix are 0.7872, 0.5172, 0.8353, and 0.7368 respectively, which are significantly larger than other elements. Secondly, when adjacent to low state and high state, it will develop into convergence distributions of 0.7251 and 0.8243. The supply efficiency of primary medical health services in central and western China has the characteristics of high (Ningxia) and low (Shaanxi) aggregation respectively, but the aggregation trend is weakened. Thirdly, the supply efficiency of health services has the stability of keeping its own state unchanged, but the transition of state can still occur. The long-term development of the current trend cannot break the distribution characteristics of the high and low clusters, the efficiency will show a downward trend in the next 10-20 years, and still the problem of uneven long-term development emerges.

Mapping of Female Breast Cancer Incidence and Mortality Rates to Socioeconomic Factors Cohort: Path Diagram Analysis

OBJECTIVES

Breast cancer is the leading cause of death in women around the world. Its occurrence and development have been linked to genetic factors, living habits, 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 women in several developed countries over 30 years. Effects of socioeconomic factors were analyzed using a path diagram method.

RESULTS

We found a positive, significant association of public wealth on incidence and mortality of breast cancer, and the path coefficients in the structural equations are -0.51 and -0.39, respectively. The unemployment rate (UR) is critical and the path coefficients are all 0.2. The path coefficients of individual economic wealth to the rates of breast cancer are 0.18 and 0.27, respectively.

CONCLUSION

The influence of social pressure 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 showed a similar pattern with socioeconomic factors.

Association of Community Economic Distress and Breast and Colorectal Cancer Screening, Incidence, and Mortality Rates Among US Counties

INTRODUCTION

Not all Americans may benefit equally from current improvements in breast and colorectal cancer screening and mortality rates.

METHODS

We performed a cross-sectional retrospective review of county-level screening, incidence, and mortality rates for breast and colon cancer utilizing three publicly available data sources from the Centers for Disease Control and Prevention (CDC), and their association with the Distressed Communities Index (DCI), a measure of local economic prosperity across communities.

RESULTS

After controlling for other factors, DCI was associated with county-level screening, incidence, and death rates per 100,000 for breast and colorectal cancer. There was an absolute increase of 0.77 (95% confidence interval [CI] 0.67-0.85, p < 0.001) in the proportion of women aged 40 years or older who had a screening mammogram for every 10-point decrease in DCI, which in turn correlated with an increase in the age-adjusted incidence by 1.68 per 100,000 (95% CI 1.37-2.00, p < 0.001). While the age-adjusted death rate for breast cancer was highest in the most distressed communities, the overall incidence of age-adjusted death decreased by 0.28 per 100,000 (95% CI -0.37 to -0.19, p < 0.001) with every 10-point decrease in DCI. For colorectal cancer, every 10-point decrease in DCI was similarly associated with an absolute 0.60 (95% CI 0.52-0.69, p < 0.001) increase in the proportion of individuals who had screening endoscopy. Increased colorectal screening in low-DCI counties was associated with a lower age-adjusted incidence rate (-0.80 per 100,000; 95% CI -0.94 to -0.65) and age-adjusted death rate (-0.55 per 100,000; 95% CI -0.62 to -0.49) of colorectal cancer per every 10-point decrease in DCI (p < 0.001).

CONCLUSION

The association of county-level socioeconomic and healthcare factors with breast and colorectal cancer outcomes was notable, with level of community distress impacting cancer screening, incidence, and mortality rates.

Spatial accessibility assessment of COVID-19 patients to healthcare facilities: A case study of Florida

During the COVID-19 pandemic, healthcare facilities worldwide have been overwhelmed by the amount of coronavirus patients needed to be served. Similarly, the U.S. also experienced a shortage of healthcare resources, which led to a reduction in the efficiency of the whole healthcare system. In order to evaluate this from a transportation perspective, it is critical to understand the extent to which healthcare facilities with intensive care unit (ICU) beds are available in both urban and rural areas. As such, this study aims to assess the spatial accessibility of COVID-19 patients to healthcare facilities in the State of Florida. For this purpose, two methods were used: the two-step floating catchment area (2SFCA) and the enhanced two-step floating catchment area (E2SFCA). These methods were applied to identify the high and low access areas in the entire state. Furthermore, a metric, namely the Accessibility Ratio Difference (ARD), was developed to evaluate the spatial access difference between the models. Results revealed that many areas in the northwest and southern Florida have lower access compared to other locations. The residents in central Florida (e.g., Tampa and Orlando cities) had the highest level of accessibility given their higher access ratios. We also observed that the 2SFCA method overestimates the accessibility in the areas with a lower number of ICU beds due to the "equal access" assumption of the population within the catchment area. The findings of this study can provide valuable insights and information for state officials and decision makers in the field of public health.

Increased Driving Distance to Screening Colonoscopy Negatively Affects Bowel Preparation Quality: an Observational Study

BACKGROUND

To prepare for colonoscopy, patients must consume a bowel purgative and travel from their home to the site of their procedure. The timing of bowel purgative ingestion predicts bowel preparation quality. Currently, it is not known if driving distance impacts bowel preparation quality or adenoma detection.

OBJECTIVE

This study investigates the effect of driving distance on bowel preparation and adenoma detection.

DESIGN

This is a cross-sectional retrospective analysis of outpatient screening colonoscopy procedures that were completed at an academic medical center.

PARTICIPANTS

A total of 5089 patients who completed screening colonoscopy across 3 procedure units were analyzed.

MAIN MEASURES

Description of bowel preparation was dichotomized to either adequate or inadequate. Patient residential addresses were converted into geographic coordinates for geospatial analysis of driving distance to their colonoscopy site.

KEY RESULTS

Median driving distance was 13.1 miles. Eighty-nine percent of patients had an adequate bowel preparation. The rate of adenoma detection was 37%. On multivariable logistic regression adjusting for age, sex, race, insurance, endoscopist, and site, increasing driving distance (10-mile increments) was negatively associated with adequate bowel preparation (odds ratio = 0.91; 95% confidence interval 0.85 to 0.97), while adenoma detection was positively associated with adequate bowel preparation (odds ratio = 1.53; 95% confidence interval 1.24 to 1.88) but not with driving distance (odds ratio = 1.02; 95% confidence interval 0.98 to 1.06). Driving distances of 30 miles or less were associated with adequate bowel preparation (odds ratio = 1.37; 95% confidence interval 1.09 to 1.72).

CONCLUSIONS

Increasing driving distance to screening colonoscopy was negatively associated with adequate bowel preparation but not adenoma detection. Among an academic medical center population, the likelihood of adequate bowel preparation was highest in patients traveling 30 miles or less to their screening colonoscopy. Patient driving distance to colonoscopy is an important consideration in optimizing screening colonoscopy quality.

Spatial Variation of Survival for Colorectal Cancer in Malaysia

A patient's survival may depend on several known and unknown factors and it may also vary spatially across a region. Socioeconomic status, accessibility to healthcare and other environmental factors are likely to contribute to survival rates. The aim of the study was to model the spatial variation in survival for colorectal cancer patients in Malaysia, accounting for individual and socioeconomic risk factors. We conducted a retrospective study of 4412 colorectal cancer (ICD-10, C18-C20) patients diagnosed from 2008 to 2013 to model survival in CRC patients. We used the data recorded in the database of the Malaysian National Cancer Patient Registry-Colorectal Cancer (NCPR-CRC). Spatial location was assigned based on the patients' central district location, which involves 144 administrative districts of Malaysia. We fitted a parametric proportional hazards model in which the spatially correlated frailties were modelled by a log-Gaussian stochastic process to analyse the spatially referenced survival data, which is also known as a spatial survival model. After controlling for individual and area level characteristics, our findings indicate wide spatial variation in colorectal cancer survival across Malaysia. Better healthcare provision and higher socioeconomic index in the districts where patients live decreased the risk of death from colorectal cancer, but these associations were not statistically significant. Reliable measurement of environmental factors is needed to provide good insight into the effects of potential risk factors for the disease. For example, a better metric is needed to measure socioeconomic status and accessibility to healthcare in the country. The findings provide new information that might be of use to the Ministry of Health in identifying populations with an increased risk of poor survival, and for planning and providing cancer control services.

Strategic Radiology Outreach Planning for Underserved Populations Using Geographic Information Systems

PURPOSE

Geographic information systems (GIS) are widely used in public health research but rarely used in radiology research. GIS can be an impactful tool in radiology global health to locate medically underserved populations and poor transportation infrastructure, characterize medical needs, and design outreach programs. Using the example of aircraft-based outreach in Alaska, we demonstrate the utility of GIS in radiological program planning for global health.

METHODS

Multicriteria GIS evaluations were performed to create a health severity index, using life expectancy and percentage uninsured data, and an accessibility severity index, using distance from roads and health centers or hospitals. These indices were combined with population density to create a final health access severity index (HASI). A map presenting suitable hybrid airship operating areas was produced using land cover data. Alaskan health care facilities were georeferenced to create a coordinate data set. Infrastructure was obtained from OpenStreetMap. Health data were accessed from the 2017 American Community Survey and CDC US Small-area Life Expectancy Estimates Project.

RESULTS

GIS analyzed 738,050 Alaskans. The health severity index identified decreased health outcomes (high or very high severity) in 285,446 (39%) Alaskans, and the accessibility severity index determined decreased access to care in 218,201 (30%). Combined, the HASI established 165,108 (22%) Alaskans as underserved with high or very high overall severity. Thirty-nine percent of Alaska land area is suitable for hybrid airship operations, including 27% of HASI high and very high severity areas.

CONCLUSIONS

GIS identified underserved populations for mobile radiology outreach in Alaska and may be useful for global health outreach planning and resource allocation.

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

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.

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

BACKGROUND

Spatial access to primary care has been associated with late-stage and fatal breast cancer, but less is known about its relation to outcomes of other screening-preventable cancers such as colorectal cancer. This population-based retrospective cohort study examined whether spatial access to primary care providers associates with colorectal cancer-specific survival.

METHODS

Approximately 26 600 incident colorectal cancers diagnosed between 2000 and 2008 in adults residing in Cook County, Illinois were identified through the state cancer registry and georeferenced to the census tract of residence at diagnosis. An enhanced two-step floating catchment area method measured tract-level access to primary care physicians (PCPs) in the year of diagnosis using practice locations obtained from the American Medical Association. Vital status and underlying cause of death were determined using the National Death Index. Fine-Gray proportional subdistribution hazard models analyzed the association between tract-level PCP access scores and colorectal cancer-specific survival after accounting for tract-level socioeconomic status, case demographics, tumor characteristics, and other factors.

RESULTS

Increased tract-level access to PCPs was associated with a lower risk of death from colorectal cancer (hazard ratio [HR], 95% confidence interval [CI]) = 0.87 [0.79, 0.96], P = .008, highest vs lowest quintile), especially among persons diagnosed with regional-stage tumors (HR, 95% CI = 0.80 [0.69, 0.93], P = .004, highest vs lowest quintile).

CONCLUSIONS

Spatial access to primary care providers is a predictor of colorectal cancer-specific survival in Cook County, Illinois. Future research is needed to determine which areas within the cancer care continuum are most affected by spatial accessibility to primary care such as referral for screening, accessibility of screening and diagnostic testing, referral for treatment, and access to appropriate survivorship-related care.