Socio-spatial disparities in access to emergency health care-A Scandinavian case study.
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ABSTRACT:
SUBMITTER: Hassler J
PROVIDER: S-EPMC8664193 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The United States has the largest socioeconomic disparities in health care access of any wealthy country. We assessed changes in these disparities in the United States under the Affordable Care Act (ACA). We used survey data for the period 2011-15 from the Behavioral Risk Factor Surveillance System to assess trends in insurance coverage, having a personal doctor, and avoiding medical care due to cost. All analyses were stratified by household income, education level, employment status, and home ownership status. Health care access for people in lower socioeconomic strata improved in both states that did expand eligibility for Medicaid under the ACA and states that did not. However, gains were larger in expansion states. The absolute gap in insurance coverage between people in households with annual incomes below $25,000 and those in households with incomes above $75,000 fell from 31 percent to 17 percent (a relative reduction of 46 percent) in expansion states and from 36 percent to 28 percent in nonexpansion states (a 23 percent reduction). This serves as evidence that socioeconomic disparities in health care access narrowed significantly under the ACA.
| S-EPMC8087201 | biostudies-literature
Project description:IntroductionDental care is mostly excluded from healthcare coverage in China. This study examines disparities in dental care and in the costs of such care, according to insurance type and socio-economic status, among Chinese older adults.MethodsThe data were obtained from the 2015 China Health and Retirement Longitudinal Study (CHARLS). A final sample of 5,230 respondents was included, with a mean age of 72 years. Edentulousness, any dental visit and per-patient dental care expenditure were used as outcome variables. Both unweighted and weighted logistic regression analyses were used to examine the association of socio-economic status (education, insurance type and income) associated with edentulousness and use of dental care.ResultsWe found that 28% of Chinese older adults have no remaining teeth and that only 19% had used dental care in the past year. The uninsured and those with rural resident insurance had edentulousness rates of 31%, while the edentulousness rate in those with urban employee insurance was 19%. About 13% of the uninsured study respondents and 15% of those with rural resident insurance had used dental care compared with 30% of those with urban employee insurance. Those in the highest income and education groups and those enrolled in a plan with a lower coinsurance rate had a higher likelihood of using dental care services and spending more on dental care than did those in the lowest socio-economic groups.ConclusionsDental care disparities in China may be reduced through increasing the proportion of the population with insurance and expanding the range of dental treatments covered by all three major insurance schemes.
| S-EPMC9275339 | biostudies-literature
Project description:BackgroundEffective cultural competency (CC) training for future health professionals is an important first step towards improving healthcare disparities (HCD). The Accreditation Council for Graduate Medical Education (ACGME) now requires that institutions train residents and faculty members in CC relevant to the patient population they serve.MethodsUsing Kern's Model, we created and implemented a novel CC curriculum tailored to specific program needs in an emergency medicine residency program.ResultsAt the end of the curriculum, respondents reported having a better understanding of the importance of CC for their practice (p = 0.004) and of how a patient's personal and historical context affects treatment (p = 0.002). They also reported an increase in the frequency of practicing strategies to reduce bias in themselves (p < 0.001) and others (p < 0.001), as well as comfort interacting with and treating patients from different backgrounds (p < 0.001). Lastly, they reported improved preparedness to collaborate with communities to address HCD (p = 0.004) and to identify community leaders to do so (p < 0.001).ConclusionsThe challenges of CC training demonstrate the need for a standard yet adaptable framework. We have designed, implemented, and evaluated a novel curriculum tailored to the specific needs of our EM residency program. The curriculum improved participants' attitudes, preparedness, and self-reported behaviors regarding CC and HCD. This framework represents an example of a successful model to meet ACGME requirements.
| S-EPMC9677360 | biostudies-literature
Project description:ObjectiveTo examine the contributions of individual- and neighborhood-level spatial access to care to the utilization of emergency departments (EDs) for preventable conditions through implementation of novel local spatial access measures.Data sources/study settingEmergency department admissions data are from four HealthLNK member hospitals in Chicago from 2007 to 2011. Primary care physician office and clinic locations were obtained from the American Medical Association and the City of Chicago.Study designMultilevel logit regression was used to model the relationship between individual- and neighborhood-level attributes and preventable ED use.Data collection/extraction methodsEmergency department admissions data were classified based on the primary diagnosis for each encounter. Spatial access to care indices were generated in ArcGIS, and values were extracted at each ZIP code centroid to match patients' ZIP codes.Principal findingsBeyond sociodemographic factors such as gender and race, patients living in medically underserved areas (MUAs) and areas with lower spatial access to primary care clinics had higher odds of preventable ED use.ConclusionsPreventable ED use can be associated with sociodemographic characteristics, as well as spatial access to primary care services. This study reveals potential for using local measures of spatial accessibility for preventable ED analyses.
| S-EPMC5785320 | biostudies-literature
Project description:Since 2014, 32 states implemented Medicaid expansion by removing the categorical criteria for childless adults and by expanding income eligibility to 138% of the federal poverty level (FPL) for all non-elderly adults. Previous studies found that the Affordable Care Act (ACA) Medicaid expansion improved rates of being insured, unmet needs for care due to cost, number of physician visits, and health status among low-income adults. However, a few recent studies focused on the expansion's effect on racial/ethnic disparities and used the National Academy of Medicine (NAM) disparity approach with a limited set of access measures. This quasi-experimental study examined the effect of Medicaid expansion on racial/ethnic disparities in access to health care for U.S. citizens aged 19 to 64 with income below 138% of the federal poverty line. The difference-in-differences model compared changes over time in 2 measures of insurance coverage and 8 measures of access to health care, using National Health Interview Survey (NHIS) data from 2010 to 2016. Analyses used the NAM definition of disparities. Medicaid expansion was associated with significant decreases in uninsured rates and increases in Medicaid coverage among all racial/ethnic groups. There were differences across racial/ethnic groups regarding which specific access measures improved. For delayed care and unmet need for care, decreases in racial/ethnic disparities were observed. After the ACA Medicaid expansion, most access outcomes improved for disadvantaged groups, but also for others, with the result that disparities were not significantly reduced.
| S-EPMC7878957 | biostudies-literature
Project description:ObjectivesPrevious studies on geographical disparities in healthcare access have been limited by not accounting for the healthcare provider's capacity, a key determinant of supply and demand relationships.DesignThis study proposed a spatial coverage modelling approach to evaluate disparities in hospital care access using Canadian Institute for Health Information data in 2007.SettingThis study focusses on accessibility of inpatient and emergency cares at both levels of individual hospital and the administrative regions of Local Health Integration Network (LHIN) levels.MeasuresWe integrated a set of traffic and geographical data to precisely estimate travel time as a measure of the level of accessibility to the nearest hospital by three scenarios: walking, driving and a combination of the both. We estimated population coverage rates, using hospital capacities and population in the catchments, as a measure of the level of the healthcare availability. Hospital capacities were calculated based on numbers of medical staff and beds, occupation rates and annual working hours of healthcare providers.ResultsWe observed significant disparities in hospital capacity, travel time and population coverage rate across the LHINs. This study included 25 teaching and 148 community hospitals. The teaching hospitals had stronger capacities with 489 209 inpatient and 130 773 emergency patients served in the year, while the population served in community hospitals were 2.64 times higher. Compared with north Ontario, more locations in the south could reach to hospitals within 30 min irrespective of the travel mode. Additionally, Northern Ontario has higher population coverage rates, for example, with 42.6~46.9% for inpatient and 15.7~44% for emergency cares, compared with 2.4~34.7% and 0.35~14.6% in Southern Ontario, within a 30 min catchment by driving.ConclusionCreating a comprehensive, flexible and integrated healthcare system should be considered as an effective approach to improve equity in access to care.
| S-EPMC7845691 | biostudies-literature
Project description:BackgroundBetter geographical accessibility to comprehensive emergency obstetric care (CEmOC) facilities can significantly improve pregnancy outcomes. However, with other factors, such as affordability critical for care access, it is important to explore accessibility across groups. We assessed CEmOC geographical accessibility by wealth status in the 15 most-populated Nigerian cities.MethodsWe mapped city boundaries, verified and geocoded functional CEmOC facilities, and assembled population distribution for women of childbearing age and Meta's Relative Wealth Index (RWI). We used the Google Maps Platform's internal Directions Application Programming Interface to obtain driving times to public and private facilities. City-level median travel time (MTT) and number of CEmOC facilities reachable within 60 min were summarised for peak and non-peak hours per wealth quintile. The correlation between RWI and MTT to the nearest public CEmOC was calculated.ResultsWe show that MTT to the nearest public CEmOC facility is lowest in the wealthiest 20% in all cities, with the largest difference in MTT between the wealthiest 20% and least wealthy 20% seen in Onitsha (26 vs 81 min) and the smallest in Warri (20 vs 30 min). Similarly, the average number of public CEmOC facilities reachable within 60 min varies (11 among the wealthiest 20% and six among the least wealthy in Kano). In five cities, zero facilities are reachable under 60 min for the least wealthy 20%. Those who live in the suburbs particularly have poor accessibility to CEmOC facilities.ConclusionsOur findings show that the least wealthy mostly have poor accessibility to care. Interventions addressing CEmOC geographical accessibility targeting poor people are needed to address inequities in urban settings.
| S-EPMC10902387 | biostudies-literature
Project description:BackgroundEmergency 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.MethodsA 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.ResultsA 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.ConclusionThis 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 evidencePrognostic and Epidemiologic; Level III.
| S-EPMC10069479 | biostudies-literature
Project description:BackgroundCOVID-19 disproportionately impacts the elderly, particularly racial/ethnic minorities and those with low socioeconomic status (SES). These latter groups may also have higher vaccine hesitancy. We aim to evaluate if access to care improves COVID-19 vaccination rates and improves health disparities.MethodsWe conducted a retrospective cohort study of Medicare patients receiving care in a high-touch capitated network across ten states. We collected type and date of COVID-19 vaccine and demographic and clinical data from the inpatient and outpatient electronic health records and socioeconomic status from the US census. Our primary outcome was completing vaccination using logistic regression.ResultsOur cohort included 93,224 patients enrolled in the network during the study period. Sixty nine percent of all enrolled patients completed full vaccination. Those who completed vaccination did it with Pfizer (46%), Moderna (49%), and Jannsen (4.6%) vaccines. In adjusted models, we found that the following characteristics increased the odds of being vaccinated: being male, increasing age, BMI, and comorbidities, being Black or Hispanic, having had the flu vaccine in 2020, and increasing number of office primary care visits. Living in a neighborhood with higher social deprivation and having dual Medicaid/Medicare enrollment decreased the odds of completing full vaccination.ConclusionsIncreasing office visit in a high-touch primary care model is associated with higher vaccination rates among elderly populations who belong to racial/ethnic minorities or have low socioeconomic status. However, lower SES and Medicaid populations continue to have difficulty in completing vaccination.Key points• High COVID-19 vaccination rates of minorities enrolled in Medicare can be achieved. • Lower socioeconomic status is associated with completing vaccination. • Increasing office visits can lead to higher vaccination rates.
| S-EPMC9518942 | biostudies-literature
Project description:ObjectiveRapid access to advanced emergency medical and trauma care has been shown to significantly reduce mortality and disability. This study aims to systematically examine geographical access to prehospital care provided by emergency medical services (EMS) and advanced-level hospital care, for the smallest geographical units used in New Zealand and explores national disparities in geographical access to these services.DesignObservational study involving geospatial analysis estimating population access to EMS and advanced-level hospital care.SettingPopulation access to advanced-level hospital care via road and air EMS across New Zealand.ParticipantsNew Zealand population usually resident within geographical census meshblocks.Primary and secondary outcome measuresThe proportion of the resident population with calculated EMS access to advanced-level hospital care within 60 min was examined by age, sex, ethnicity, level of deprivation and population density to identify disparities in geographical access.ResultsAn estimated 16% of the New Zealand population does not have timely EMS access to advanced-level hospital care via road or air. The 700 000 New Zealanders without timely access lived mostly in areas of low-moderate population density. Indigenous Māori, New Zealand European and older New Zealanders were less likely to have timely access.ConclusionsThese findings suggest that in New Zealand, geographically marginalised groups which tend to be rural and remote communities with disproportionately more indigenous Māori and older adults have poorer EMS access to advanced-level hospitals. Addressing these inequities in rapid access to medical care may lead to improvements in survival that have been documented for people who experience medical or surgical emergencies.
| S-EPMC6661642 | biostudies-literature