Place as a predictor of health insurance coverage: A multivariate analysis of counties in the United States

County-level variation in healthcare coverage and ischemic heart disease mortality

BACKGROUND

Healthcare coverage has been shown to have implications in the prevalence of coronary artery disease. We explore the impact of lack of healthcare coverage on ischemic heart disease (IHD) mortality in the US.

METHODS

We obtained county-level IHD mortality and healthcare coverage data from the CDC databases for a total of 3,119 US counties. The age-adjusted prevalence of current lack of health insurance among individuals aged 18 to 64 years were obtained for the years 2018 and 2019 and were placed into four quartiles. First (Q1) and fourth quartile (Q4) had the least and highest age-adjusted prevalence of adults without health insurance, respectively. IHD mortality rates, adjusted for age through the direct method, were obtained for the same years and compared among quartiles. Ordinary least squares (OLS) regression for each demographic variable was conducted with the quartiles as an ordinal predictor variable and the age-adjusted mortality rate as the outcome variable.

RESULTS

We identified a total of 172,942 deaths related to ischemic heart disease between 2018 and 2019. Overall AAMR was higher in Q4 (92.79 [95% CI, 92.35-93.23]) compared to Q1 (83.14 [95% CI, 82.74-83.54]), accounting for 9.65 excess deaths per 100,000 person-years (slope = 3.47, p = 0.09). Mortality rates in Q4 for males (126.20 [95% CI, 125.42-126.98] and females (65.57 [95% CI, 65.08-66.05]) were higher compared to Q1 (115.72 [95% CI, 114.99-116.44] and 57.48 [95% CI, 57.04-57.91], respectively), accounting for 10.48 and 8.09 excess deaths per 100,000 person-years for males and females, respectively. Similar trends were seen among Hispanic and non-Hispanic populations. Northeastern, Southern, and Western regions had higher AAMR within Q4 compared to Q1, with higher prevalence of current lack of health insurance accounting for 49.2, 8.15, and 29.04 excess deaths per 100,000 person-years, respectively.

CONCLUSION

A higher prevalence of adults without healthcare coverage may be associated with increased IHD mortality rates. Our results serve as a hypothesis-generating platform for future research in this area.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BACKGROUND

Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.

METHODS

Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.

RESULTS

Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).

CONCLUSIONS

The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Adherence Disparities and Utilization Trends of Oncotype Dx Assay: A National Cancer Database Study

INTRODUCTION

Oncotype Dx (ODX) is a genetic assay that analyzes tumor recurrence risk and provides chemotherapy recommendations for T1-T2 stage, hormone receptor-positive, human epidermal growth factor receptor-negative, and nodal-negative breast cancer patients. Despite its established validity, the utilization of this assay is suboptimal. The study aims to evaluate factors that are associated with adherence rate with the testing guidelines and examine changes in utilization trends.

METHODS

This is a retrospective study, utilizing data from the National Cancer Database from 2010 to 2017. Patients who met the ODX testing guidelines were first evaluated for testing adherence. Secondly, all patients who underwent ODX testing were assessed to evaluate the trend in ODX utilization.

RESULTS

A total of 429,648 patients met the criteria for ODX, and 43.4% of this population underwent testing. Advanced age, racial minorities, low-income status, well-differentiated tumor grade, uninsured status, and treatment at community cancer centers were associated with a decreased likelihood of receiving ODX in eligible patients. Additionally, a notable amount of testing was performed on patients who did not meet the ODX testing criteria. Among the 295,326 patients that underwent ODX testing, 16.6% of patients were node-positive and 1.8% had T3 or T4 stage tumors.

CONCLUSIONS

A considerable number of patients who were eligible for ODX did not receive it, indicating potential barriers to care and disparities in breast cancer treatment. ODX usage has been expanded to broader patient populations, indicating more research is needed to validate the effectiveness of the assay in these patient groups.

Social Determinants of Cancer Risk Among American Indian and Alaska Native Populations: An Evidence Review and Map

Objectives:

To explore current literature on social determinants of health (SDOH) and cancer among American Indian and Alaska Native (AI/AN) populations.

Methods:

We searched Ovid MEDLINE^®, CINAHL, and PsycINFO databases for articles published during 2000 to 2020, which included terms for SDOH and cancer occurrence in AI/AN populations. We derived the data extraction elements from the PROGRESS-Plus framework. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-Equity extension guided the evidence map.

Results:

From 2180 screened articles, 297 were included. Most were observational (93.9%), employed a cross-sectional design (83.2%), were categorized as cancer occurrence and surveillance research (62%), and included no cancer-related risk factors (70.7%). Race, gender, and place were the most frequently included PROGRESS-Plus categories. Religion, relationship features, and characteristics of discrimination were least common. Only 12% of articles mentioned historical/current trauma or historical context.

Conclusions:

Gaps exist in our understanding of SDOH as drivers of cancer disparities in AI/AN populations. Future studies in health equity science may incorporate historical and cultural factors into SDOH frameworks tailored for AI/AN populations.

Epidemiologic evaluation of clinical outcomes in ethnic minorities with myelodysplastic syndromes

Since race/ethnicity and socioeconomic status (SES), including economic and educational disadvantage (EED), may impact overall survival (OS) in primary myelodysplastic syndromes (MDS), we analyzed the impact of these characteristics on OS in Non-Hispanic White (NHW), Non-Hispanic Black (NHB) and Hispanic patients. In this retrospective review using the SEER US population and American Community Survey data between 2001 and 2016, factor analysis was used for 23 county-level SES indicators to identify groups of interrelated measures of EED. For the 52,739 patients identified, increased age at diagnosis, male sex, higher prognostic risk category and higher EED were all associated with reduced OS. The most prominent SES factor extracted by factor analysis was EED. NHB patients had the highest OS compared to NHW and Hispanics. For all patients, EED analysis showed lower OS for most compared to least disadvantaged, most notably in lower-risk disease and Hispanics. More NHB and Hispanics (51% and 49%) were in the most disadvantaged category compared with NHW (30%). No significant differences were noted for causes of death by race/ethnicity. In conclusion, these data indicate that in addition to standard clinical measures for analyzing OS, race/ethnicity, SES and EED are critical determinants for assessing clinical outcomes in MDS patients.

Air Pollution, Socioeconomic Status, and Age-Specific Mortality Risk in the United States

IMPORTANCE

Prior studies on the association between fine particulate matter with diameters 2.5 μm or smaller (PM2.5) and probability of death have not applied multilevel analysis disaggregating data for US census tract, states, and counties, nor tested its interaction by socioeconomic status (SES). Such an approach could provide a more refined identification and targeting of populations exposed to increased risk from PM2.5.

OBJECTIVE

To assess the association between PM2.5 and age-specific mortality risk (ASMR) using disaggregated data at the census tract level and evaluate such association according to census tract SES.

DESIGN, SETTING, AND PARTICIPANTS

This nationwide cross-sectional study used a linkage of 3 different data sets. ASMR for the period of 2010 to 2015 was obtained from the National Center for Health Statistic, SES data covering a period from 2006 to 2016 came from the American Community Survey, and mean PM2.5 exposure levels from 2010 to 2015 were derived from well-validated atmospheric chemistry and machine learning models. Data were analyzed in April 2021.

EXPOSURES

The main exploratory variable was mean census tract-level long-term exposure to PM2.5 from 2010 to 2015.

MAIN OUTCOMES AND MEASURES

The primary outcome was census tract-level ASMR. Multilevel models were used to quantify the geographic variation in ASMR at levels of census tract, county, and state. Additional analysis explored the interaction of SES in the association of ASMR with PM2.5 exposure.

RESULTS

Data from 67 148 census tracts nested in 3087 counties and 50 states were analyzed. The association between exposure to PM2.5 and ASMR varied substantially across census tracts. The magnitude of such association also varied across age groups, being higher among adults and older adults. Census tracts accounted for most of the total geographic variation in mortality risk (range, 77.0%-94.2%). ASMR was higher in deciles with greater PM2.5 concentration. For example, ASMR for age 75 to 84 years was 54.6 per 1000 population higher in the decile with the second-highest PM2.5 concentration than in the decile with the lowest PM2.5 concentration. The ASMR, PM2.5 concentrations, and magnitude of the association between both were higher in the census tracts with the lowest SES.

CONCLUSIONS AND RELEVANCE

This cross-sectional study found that census tracts with lower SES presented higher PM2.5 concentrations. ASMR and air pollution varied substantially across census tracts. There was an association between air pollution and ASMR across all age groups in the United States. These findings suggest that equitable public policies aimed at improving air quality are needed and important to increase life expectancy.

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.

Health Insurance Access Among US Citizen Children In Mexico: National And Transborder Policy Implications

More than 500,000 US citizen migrant children were residing in Mexico in 2015, and more than half of them had limited, inadequate health insurance despite their citizenship status. The majority of these children lived in Mexican states near the US border. Despite these numbers, knowledge regarding these children and their health has been scarce. To address these knowledge gaps, we analyzed data from the 2015 Mexican Intercensal Survey to examine whether the health insurance status of US citizen migrant children in Mexico is linked to individual, household, and state factors. We compared rates of insured US citizen migrant children with rates among those who were underinsured. We found high rates of underinsurance among US citizen migrant children, especially in northern Mexican border states. Parental education, labor-force participation, urban residence, and border residence partially accounted for these children's probability of being insured. Our results have implications for binational policies that extend health care protection to US citizen migrant children through reintegration assistance for their parents, an expedited dual-citizenship application process, and exempting these children from the automatic cancellation of US-based health benefits.

The Role of Acculturation and Social Capital in Access to Health Care: A Meta-study on Hispanics in the US

A meta-study of 83 articles published from 1981 to 2016 was conducted on Hispanics access to health care in the US. Few of these studies have included acculturation and even fewer the role of social capital as important factors that impact healthcare access for this population. Among those that do include these two factors, there is confusion as to how they are defined and operationalized. Acculturation and social capital could serve to overcome some of the structural barriers in place that manifest stronger among Hispanics who are relatively newcomers to a healthcare system that is highly complex to navigate. The majority of studies included in this systematic review of the literature are in public health journals, which do not focus on sociological aspects as much. This study exposes the need to expand the worldviews used in the literature in order to enrich our understanding of access to health care for Hispanics.

Quantifying and explaining variation in life expectancy at census tract, county, and state levels in the United States

Studies on geographic inequalities in life expectancy in the United States have exclusively focused on single-level analyses of aggregated data at state or county level. This study develops a multilevel perspective to understanding variation in life expectancy by simultaneously modeling the geographic variation at the levels of census tracts (CTs), counties, and states. We analyzed data from 65,662 CTs, nested within 3,020 counties and 48 states (plus District of Columbia). The dependent variable was age-specific life expectancy observed in each of the CTs. We also considered the following CT-level socioeconomic and demographic characteristics as independent variables: population density; proportions of population who are black, who are single parents, who are below the federal poverty line, and who are aged 25 or older who have a bachelor's degree or higher; and median household income. Of the total geographic variation in life expectancy at birth, 70.4% of the variation was attributed to CTs, followed by 19.0% for states and 10.7% for counties. The relative importance of CTs was greater for life expectancy at older ages (70.4 to 96.8%). The CT-level independent variables explained 5 to 76.6% of between-state variation, 11.1 to 58.6% of between-county variation, and 0.7 to 44.9% of between-CT variation in life expectancy across different age groups. Our findings indicate that population inequalities in longevity in the United States are primarily a local phenomenon. There is a need for greater precision and targeting of local geographies in public policy discourse aimed at reducing health inequalities in the United States.

Increased 30-day readmission rate after craniotomy for tumor resection at safety net hospitals in small metropolitan areas

PURPOSE

Unplanned readmission of post-operative brain tumor patients is often attributed to hospital and patient characteristics and is associated with higher mortality and cost. Previous studies demonstrate multiple patient outcome disparities in safety net hospitals (SNHs) when compared to non-SNHs. This study uses the Nationwide Readmissions Database (NRD) to determine if initial brain tumor resection at SNHs is associated with increased 30-day non-elective readmission rates.

METHODS

Patients with benign or malignant primary or metastatic brain tumor undergoing craniotomy for surgical resection were retrospectively identified in the NRD from 2010 to 2014. SNHs were defined as hospitals with Medicaid and uninsured patient burden in the top quartile. Descriptive and multivariate analyses employing survey-adjusted logistic regression evaluated patient and hospital level factors influencing 30-day readmissions.

RESULTS

During the study period, 83,367 patients met inclusion criteria. 44.7% of patients had a benign tumor, and 55.3% had a malignant tumor. Secondary CNS neoplasm (5.99%), post-operative infection (5.96%), and septicemia (4.26%) caused most readmissions within 30 days. Patients had increased unplanned readmission rates if they underwent craniotomy for tumor resection at a SNH in a small metropolitan area (OR 1.11, 95% CI 1.02-1.21, p = 0.01), but not at a SNH in a large metropolitan area (OR 0.99, 95% CI 0.93-1.05, p = 0.73).

CONCLUSION

This finding may reflect differences in access to care and disparities in neurosurgical resources between small and large metropolitan areas. Inequities in expertise and capacity are relevant as surgical volume was also related to readmission rates. Further studies may be warranted to address such disparities.

Adolescent Bariatric Surgery: Effects of Socioeconomic, Demographic, and Hospital Characteristics on Cost, Length of Stay, and Type of Procedure Performed

BACKGROUND

Despite the efficacy of bariatric surgery in adolescents and the increasing rates of adolescent obesity, the use of bariatric surgery remains low. Treatment cost and length of stay (LOS) could be influencing the utilization of bariatric surgery.

METHODS

We used the Kids' Inpatient Database (KID) from 2006, 2009, and 2012. Adolescents with a primary diagnosis of obesity who underwent bariatric surgery were included. Multinomial logistic and linear regression modeling was used to determine the association of the predictor variables with type of procedure and treatment cost and LOS, respectively.

RESULTS

We identified 1799 adolescents who underwent bariatric surgery. The majority of the subjects were female (77%) and White (60%). The most commonly performed procedure was Roux-en-Y gastric bypass (56%). Race, region, hospital teaching status, and hospital ownership affected the type of procedure performed. Self-pay patients were less likely to undergo Roux-en-Y gastric bypass (RYGB) than sleeve gastrectomy (SG) when compared to patients with private insurance. Teaching hospitals were less likely to perform RYGB or AGB than SG when compared to non-teaching hospitals. Treatment cost was significantly affected by income, teaching hospital status, hospital size, and surgery type. LOS was affected by income quartile, region, and surgery type.

CONCLUSION

Socioeconomic and demographic factors as well as hospital characteristics affect not only the LOS and treatment cost, but also the type of bariatric surgery performed in adolescents. Identifying and understanding the factors influencing procedure choice, treatment cost, and LOS can improve care and healthcare resource utilization.

County-Level Variations in Receipt of Surgery for Early-Stage Non-small Cell Lung Cancer in the United States

BACKGROUND

Although counties are the smallest geographic level for comprehensive health-care delivery analysis, little is known about county-level variations in receipt of curative-intent surgery for early-stage non-small cell lung cancer (NSCLC) and factors contributing to such variations in the United States.

METHODS

A total of 179,189 patients aged ≥ 35 years who were diagnosed with stage I to II NSCLC between 2007 and 2014 in 2,263 counties were identified from 39 states, the District of Columbia, and Detroit population-based cancer registries; the data were compiled by the North American Association of Central Cancer Registries. The percentage of patients who underwent surgery was calculated for each county with ≥ 20 cases. Adjusted risk ratios were generated by using generalized estimating equation models with modified Poisson regression.

RESULTS

Receipt of surgery for early-stage NSCLC during 2007 to 2014 according to county ranged from 12.8% to 48.6% in the lowest decile of counties, to 74.3% to 91.7% in the highest decile of counties. There were pockets of low surgery receipt rate counties within each state. For example, there was a 25% absolute difference between the lowest and highest surgery receipt rate counties in Massachusetts. Counties in the lowest quartile for receipt of surgery were those with a high proportion of non-Hispanic black subjects, high poverty and uninsured rates, low surgeon-to-population ratio, and nonmetropolitan status.

CONCLUSIONS

Receipt of curative-intent surgery for early-stage NSCLC varied substantially across counties in the United States, with pockets of low receipt counties in each state. Low surgery receipt counties were characterized by unfavorable area-level socioeconomic and health-care delivery factors.

Insurance status is related to overall survival in patients with small intestine adenocarcinoma: A population-based study

BACKGROUND

Our goal was to investigate the effect of insurance status on the overall survival (OS) in cases of small intestine adenocarcinoma.

METHODS

The SEER (Surveillance, Epidemiology, and End Results) database was used to identify 3822 patients who were diagnosed with small intestine adenocarcinoma between 2007 and 2015. The proportional hazard ASSUMPTION was evaluated by proportional-hazards assumption test and Schoenfeld residual test. The Kaplan-Meier method and Cox proportional-hazards regression analysis were performed to evaluate the association between insurance status and OS.

RESULTS

We found that the insurance status at the time of diagnosis affected OS at the population level, both in those aged <65 and ≥65 years. Cox multivariate analysis of patients aged <65 years revealed that the hazard of death was greater in the Medicaid group (hazard ratio [HR] = 1.641, 95% confidence interval [CI] = 1.299-2.073, P < 0.001] and uninsured group (HR = 1.472, 95% CI = 1.095-1.979, P = 0.010) compared with the insured group, while the OS did not differ significantly between the Medicaid and uninsured groups. Similarly, the hazard of death among patients aged ≥65 years was higher in the Medicaid than the insured group (HR = 1.403, 95% CI = 1.136-1.733, P = 0.002).

CONCLUSION

Our results suggest that patients with small intestine adenocarcinoma with insurance coverage have a significantly better OS than patients who have Medicaid or are uninsured, while the OS does not differ between Medicaid and uninsured patients.

Who loses public health insurance when states pass restrictive omnibus immigration-related laws? The moderating role of county Latino density

In the United States, there is widespread concern that state laws restricting rights for noncitizens may have spillover effects for Latino children in immigrant families. Studies into the laws' effects on health care access have inconsistent findings, demonstrating gaps in our understanding of who is most affected, under what circumstances. Using comparative interrupted time series methods and a nationally-representative sample of US citizen, Latino children with noncitizen parents from the National Health Interview Survey (2005-2014, n = 18,118), this study finds that living in counties with higher co-ethnic density placed children at greater risk of losing Medicaid and Children's Health Insurance Program coverage when their states passed restrictive state omnibus immigrant laws. This study is the first to demonstrate the importance of examining how the health impacts of immigration-related policies vary across local communities.

Influence of insurance status on survival of adults with glioblastoma multiforme: A population-based study

BACKGROUND

To the authors' knowledge, the impact of insurance status on the survival time of patients with glioblastoma multiforme (GBM) has not been fully understood. The objective of the current study was to clarify the association between insurance status and survival of patients with GBM by analyzing population-based data.

METHODS

The authors performed a cohort study using data from the Surveillance, Epidemiology, and End Results program. They included adult patients (aged ≥18 years) with GBM as their primary diagnosis from the years 2007 to 2012. Patients without information regarding insurance status were excluded. A survival analysis between insurance status and GBM-related death was performed using an accelerated failure time model. Demographic and clinical variables were included to adjust for confounding effects.

RESULTS

Among the 13,665 adult patients in the study cohort, 558 (4.1%) were uninsured, 1516 (11.1%) had Medicaid coverage, and 11,591 (84.8%) had non-Medicaid insurance. Compared with patients who were uninsured, insured patients were more likely to be older, female, white, married, and with a smaller tumor size at diagnosis. Accelerated failure time analysis demonstrated that older age (hazard ratio [HR], 1.04; P<.001), male sex (HR, 1.08; P<.001), large tumor size at the time of diagnosis (HR, 1.26; P<.001), uninsured status (HR, 1.14; P =.018), and Medicaid insurance (HR, 1.10; P =.006) were independent risk factors for shorter survival among patients with GBM, whereas radiotherapy (HR, 0.40; P<.001) and married status (HR, 0.86; P<.001) indicated a better outcome. The authors discovered an overall yearly progressive improvement in survival in patients with non-Medicaid insurance who were diagnosed from 2007 through 2011 (P =.015), but not in uninsured or Medicaid-insured patients.

CONCLUSIONS

Variations existed in insurance status within the GBM population. Uninsured status and Medicaid insurance suggested shorter survival compared with non-Medicaid insurance among a population of patients with GBM. Cancer 2016;122:3157-65. © 2016 American Cancer Society.

Challenges and barriers to health care and overall health in older residents of Alaska: evidence from a national survey

Background

From 1970 to 2010, the Alaskan population increased from 302,583 to 698,473. During that time, the growth rate of Alaskan seniors (65+) was 4 times higher than their national counterparts. Ageing in Alaska requires confronting unique environmental, sociodemographic and infrastructural challenges, including an extreme climate, geographical isolation and less developed health care infrastructure compared to the continental US.

Objective

The objective of this analysis is to compare the health needs of Alaskan seniors to those in the continental US.

Design

We abstracted 315,161 records of individuals age 65+ from the 2013 and 2014 Behavioral Risk Factor Surveillance System, of which 1,852 were residents of Alaska. To compare residents of Alaska to residents of the 48 contiguous states we used generalized linear models which allowed us to adjust for demographic differences and survey weighting procedures. We examined 3 primary outcomes – general health status, health care coverage status and length of time since last routine check-up.

Results

Alaskan seniors were 59% less likely to have had a routine check-up in the past year and 12% less likely to report excellent health status than comparable seniors in the contiguous US.

Conclusions

Given the growth rate of Alaskan seniors and inherent health care challenges this vulnerable population faces, future research should examine the specific pathways through which these disparities occur and inform policies to ensure that all US seniors, regardless of geographical location, have access to high-quality health services.