Geographic access to United States SARS-CoV-2 testing sites highlights healthcare disparities and may bias transmission estimates.
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ABSTRACT:
SUBMITTER: Rader B
PROVIDER: S-EPMC7239151 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Supported by the 10% set-aside funds in the Community Mental Health Block grant, distributed at the state level, coordinated specialty care (CSC) have been widely disseminated throughout the U.S. This study explores variations in the geographical accessibility of CSC programs by neighborhood level characteristics in Washington State. CSC locations were geocoded. Socioeconomic neighborhood deprivation (i.e., Area deprivation index) and rurality (i.e., Rural-Urban Commuting Area codes) were neighborhood level characteristics extracted from the 2018 American Community Survey. Geographic accessibility of CSC was assessed using a two-step floating catchment area technique and multilevel linear models were used to examine the association between specific neighborhood characteristics and geographic accessibility. The association between access and socioeconomically deprived neighborhoods varied differentially by neighborhood rurality (an interaction effect). Model estimates indicated that the least deprived, metropolitan neighborhoods had the best access (M = 0.38; CI: 0.34, 0.42) and rural neighborhoods in the second most deprived quartile had the worst access (M = 0.16; CI: 0.11, 0.21) to CSC. There was a clear decrease in accessibility for more rural neighborhoods, regardless of other neighborhood characteristics. In conclusions, findings provide important insight into how resource distribution contributes to geographic disparities in access to CSC. The use of spatial analytic techniques has the potential to identify specific neighborhoods and populations where there is a need to expand and increase availability of CSC to ensure access to rural and socioeconomically deprived neighborhoods.
| S-EPMC9119810 | biostudies-literature
Project description:Background Although methamphetamine abuse is associated with the development of heart failure (HF), nationwide data on methamphetamine-associated HF (MethHF) hospitalizations are limited. This study evaluates nationwide HF hospitalizations associated with substance abuse to better understand MethHF prevalence trends and the clinical characteristics of those patients. Methods and Results This cross-sectional period-prevalence study used hospital discharge data from the National Inpatient Sample to identify adult primary HF hospitalizations with a secondary diagnosis of abuse of methamphetamines, cocaine, or alcohol in the United States from 2002 to 2014. All 2014 MethHF admissions were separated by regional census division to evaluate geographical distribution. Demographics, payer information, and clinical characteristics of MethHF hospitalizations were compared with all other HF hospitalizations. Total nationwide MethHF hospitalizations increased from 547 in 2002 to 6625 in 2014 with a predominance on the West Coast. Methamphetamine abuse was slightly more common among primary HF hospitalizations compared with all-cause hospitalizations (7.4 versus 6.4 per 1000; Cohen h=0.012; P<0.001). Among HF hospitalizations, patients with MethHF were younger (mean age, 48.9 versus 72.4 years; Cohen d=1.93; P<0.001), more likely to be on Medicaid (59.4% versus 8.8%; Cohen h=1.16; P<0.001) or uninsured (12.0% versus 2.6%; Cohen h=0.36; P<0.001), and more likely to present to urban hospitals (43.8% versus 28.3%; Cohen h=0.32; P<0.001) than patients with non-methamphetamine associated HF. Patients with MethHF had higher rates of psychiatric comorbidities and were more likely to leave the hospital against medical advice. Conclusions MethHF hospitalizations have significantly increased in the United States, particularly on the West Coast. Coordinated public health policies and systems of care are needed to address this rising epidemic.
| S-EPMC8475042 | biostudies-literature
Project description:ObjectiveWe test whether nursing homes serving predominately low-income and racial minority residents (compositional explanation) or located in neighborhoods with higher concentrations of low-income and racial minority residents (contextual explanation) have worse financial outcomes and care quality.Data sourcesHealthcare Cost Report Information System, Nursing Home Compare, Online Survey Certification and Reporting Certification, and American Community Survey.Study designA cross-sectional study design of nursing homes within U.S. metropolitan areas.Data collection/extraction methodsData were obtained from Centers for Medicare & Medicaid Services and U.S. Census Bureau.Principal findingsMedicaid-dependent nursing homes have a 3.5 percentage point lower operating ratio. Those serving primarily racial minorities have a 2.64-point lower quality rating. A 1 percent increase in the neighborhood population living in poverty is associated with a 1.20-point lower quality rating, on a scale from 10 to 50, and a 1 percent increase in the portion of neighborhood black residents is associated with a 0.8 percentage point lower operating ratio and a 0.37 lower quality rating.ConclusionsMedicaid dependency (compositional effect) and concentration of racial minority residents in neighborhoods (contextual effect) are associated with higher fiscal stress and lower quality of care, indicating that nursing homes' geographic location may exacerbate long-term care inequalities.
| S-EPMC6056600 | biostudies-literature
Project description:Measuring rates of coverage and spatial access to healthcare services is essential to inform policies for development. These rates tend to reflect the urban-rural divide, typically with urban areas experiencing higher accessibility than rural ones. Especially in Sub-Saharan Africa (SSA), a region experiencing high disease burden amid fast urbanisation and population growth. However, such assessment has been hindered by a lack of updated and comparable geospatial data on urbanisation and health facilities. In this study, we apply the UN-endorsed Degree of Urbanisation (DoU or DEGURBA) method to investigate how geographic access to healthcare facilities varies across the urban-rural continuum in SSA as a whole and in each country, for circa 2020. Results show that geographic access is overall highest in cities and peri-urban areas, where more than 95% of inhabitants live within 30 min from the nearest HCF, with this share decreasing to 80-90% in towns. This share is lowest in villages and dispersed rural areas (65%), with about 10-15% of population more than 3 h away from any health post. Challenges in geographic access seem mostly determined by high travel impedance, since overall spatial densities of HCF are comparable to European levels.
| S-EPMC10630936 | biostudies-literature
Project description:COVID-19 is an important public health concern due to its high morbidity, mortality and socioeconomic impact. Its burden varies by geographic location affecting some communities more than others. Identifying these disparities is important for guiding health planning and service provision. Therefore, this study investigated geographical disparities and temporal changes of the percentage of positive COVID-19 tests and COVID-19 incidence risk in North Dakota. COVID-19 retrospective data on total number of tests and confirmed cases reported in North Dakota from March 2020 to September 2021 were obtained from the North Dakota COVID-19 Dashboard and Department of Health, respectively. Monthly incidence risks of the disease were calculated and reported as number of cases per 100,000 persons. To adjust for geographic autocorrelation and the small number problem, Spatial Empirical Bayesian (SEB) smoothing was performed using queen spatial weights. Identification of high-risk geographic clusters of percentages of positive tests and COVID-19 incidence risks were accomplished using Tango's flexible spatial scan statistic. ArcGIS was used to display and visiualize the geographic distribution of percentages of positive tests, COVID-19 incidence risks, and high-risk clusters. County-level percentages of positive tests and SEB incidence risks varied by geographic location ranging from 0.11% to 13.67% and 122 to 16,443 cases per 100,000 persons, respectively. Clusters of high percentages of positive tests were consistently detected in the western part of the state. High incidence risks were identified in the central and south-western parts of the state, where significant high-risk spatial clusters were reported. Additionally, two peaks (August 2020-December 2020 and August 2021-September 2021) and two non-peak periods of COVID-19 incidence risk (March 2020-July 2020 and January 2021-July 2021) were observed. Geographic disparities in COVID incidence risks exist in North Dakota with high-risk clusters being identified in the rural central and southwest parts of the state. These findings are useful for guiding intervention strategies by identifying high risk communities so that resources for disease control can be better allocated to communities in need based on empirical evidence. Future studies will investigate predictors of the identified disparities so as to guide planning, disease control and health policy.
| S-EPMC10116449 | biostudies-literature
Project description:As a southwestern province of China, Sichuan is confronted with geographical disparities in access to healthcare professionals because of its complex terrain, uneven population distribution and huge economic gaps between regions. With 10-year data, this study aims to explore the county-level spatial disparities in access to different types of healthcare professionals (licensed doctors, registered nurses, pharmacists, technologists and interns) in Sichuan using temporal and spatial analysis methods. The time-series results showed that the quantity of all types of healthcare professionals increased, especially the registered nurses, while huge spatial disparities exist in the distribution of healthcare professionals in Sichuan. The local Moran's I calculations showed that high-high clusters (significantly high healthcare professional quantity in a group of counties) were detected in Chengdu (capital of Sichuan) and relatively rich areas, while low-low clusters (significantly low healthcare professional quantity in a group of counties) were usually found near the mountain areas, namely, Tsinling Mountains and Hengduan Mountains. The findings may deserve considerations in making region-oriented policies in educating and attracting more healthcare professionals to the disadvantaged areas.
| S-EPMC8394835 | biostudies-literature
Project description:Injury is a major contributor to morbidity and mortality in the United States. Accordingly, expanding access to trauma care is a Healthy People priority. The extent to which disparities in access to trauma care exist in the US is unknown. Our objective was to describe geographic, demographic, and socioeconomic disparities in access to trauma care in the United States.Cross-sectional study of the US population in 2010 using small units of geographic analysis and validated estimates of population access to a Level I or II trauma center within 60minutes via ambulance or helicopter. We examined the association between geographic, demographic, and socioeconomic factors and trauma center access, with subgroup analyses of urban-rural disparities.Of the 309 million people in the US in 2010, 29.7 million lacked access to trauma care. Across the country, areas with higher income were significantly more likely to have access (OR 1.30, 95% CI 1.12-1.50), as were major cities (OR 2.13, 95% CI 1.25-3.62) and suburbs (OR 1.27, 95% CI 1.02-1.57). Areas with higher rates of uninsured (OR 0.09, 95% CI 0.07-0.11) and Medicaid or Medicare eligible patients (OR 0.69, 95% CI 0.59-0.82) were less likely to have access. Areas with higher proportions of blacks and non-whites were more likely to have access (OR 1.37, 95% CI 1.19-1.58), as were areas with higher proportions of Hispanics and foreign-born persons (OR 1.51, 95% CI 1.13-2.01). Overall, rurality was associated with significantly lower access to trauma care (OR 0.20, 95% CI 0.18-0.23).While the majority of the United States has access to trauma care within an hour, almost 30 million US residents do not. Significant disparities in access were evident for vulnerable populations defined by insurance status, income, and rurality.
| S-EPMC5292279 | biostudies-literature
Project description:The rapid spread of COVID-19 across the world has raised concerns about the responsiveness of cities and healthcare systems during pandemics. Recent studies try to model how the number of COVID-19 infections will likely grow and impact the demand for hospitalization services at national and regional levels. However, less attention has been paid to the geographic access to COVID-19 healthcare services and to hospitals' response capacity at the local level, particularly in urban areas in the Global South. This paper shows how transport accessibility analysis can provide actionable information to help improve healthcare coverage and responsiveness. It analyzes accessibility to COVID-19 healthcare at high spatial resolution in the 20 largest cities of Brazil. Using network-distance metrics, we estimate the vulnerable population living in areas with poor access to healthcare facilities that could either screen or hospitalize COVID-19 patients. We then use a new balanced floating catchment area (BFCA) indicator to estimate spatial, income, and racial inequalities in access to hospitals with intensive care unit (ICU) beds and mechanical ventilators while taking into account congestion effects. Based on this analysis, we identify substantial social and spatial inequalities in access to health services during the pandemic. The availability of ICU equipment varies considerably between cities, and it is substantially lower among black and poor communities. The study maps territorial inequalities in healthcare access and reflects on different policy lessons that can be learned for other countries based on the Brazilian case.
| S-EPMC7879934 | biostudies-literature
Project description:AIM:To determine whether regional variation in stroke incidence exists among individuals with AF. METHODS:Using healthcare utilization claims from 2 large US databases, MarketScan (2007-2014) and Optum Clinformatics (2009-2015), and the 2010 US population as the standard, we estimated age-, sex-, race- (only in Optum) standardized stroke incidence rates by the 9 US census divisions. We also used Poisson regression to examine incidence rate ratios (IRR) of stroke and the probability of anticoagulation prescription fills across divisions. RESULTS:Both databases combined included 970,683 patients with AF who experienced 15,543 strokes, with a mean follow-up of 23 months. In MarketScan, the age- and sex-standardized stroke incidence rate was highest in the Middle Atlantic and East South Central divisions at 3.8/1000 person-years (PY) and lowest in the West North Central at 3.2/1000 PY. The IRR of stroke and the probability of anticoagulation fills were similar across divisions. In Optum Clinformatics, the age-, sex-, and race-standardized stroke incidence rate was highest in the East North Central division at 5.0/1000 PY and lowest in the New England division at 3.3/1000 PY. IRR of stroke and the probability of anticoagulation fills differed across divisions when compared to New England. CONCLUSIONS:These findings suggest regional differences in stroke incidence among AF patients follow a pattern that differs from the hypothesized trend found in the general population and that other factors may be responsible for this new pattern. Cross-database differences provide a cautionary tale for the identification of regional variation using health claims data.
| S-EPMC6475902 | biostudies-literature
Project description:BackgroundChronic kidney disease (CKD) is a public health concern, and the disease disproportionately affects Hispanics. Improved healthcare access for Hispanic CKD patients can reduce the disease burden. This study assesses the healthcare access disparities experienced by Hispanic CKD patients compared to Whites.MethodsWe analyzed three National Health and Nutrition Examination Survey (NHANES) datasets for 2013-2014, 2015-2016, and 2017-2018. The primary predictor variable was race, and the outcome variable was three domains of healthcare access: insurance status, having any routine place for healthcare, and having any health visits in the past year. Chi-square tests and unadjusted and adjusted multivariate logistic regressions were conducted. The models were adjusted for age, education, income, and CKD stages and were weighted to account for the sampling strategy.ResultsThe sample size was 1864 CKD patients from three two-year cycles of NHANES datasets (2013-2014, 2015-2016, and 2017-2018). The final adjusted model found that Hispanic CKD patients were more likely to be uninsured (OR: 2.52, CI 1.66-3.83) and have no routine place for healthcare (OR: 1.68, CI 1.03-2.75) than White CKD patients, but did not have differences in healthcare visits in the past year.ConclusionsHispanic CKD patients have limited healthcare access compared to White populations showing existing care access disparities experienced by them. Improved programs and policies are required to enhance kidney health among Hispanics and promote equity in CKD.
| S-EPMC10832131 | biostudies-literature