Rural-Urban Disparities In All-Cause Mortality Among Low-Income Medicare Beneficiaries, 2004-17

Financial burden of care greatest among rural beneficiaries in Medicare advantage

OBJECTIVE

To examine differences in access to care and financial burden between Traditional Medicare (TM) and Medicare Advantage (MA) beneficiaries in rural and urban areas and then explore whether there were potential differences in MA benefits between urban and rural areas.

STUDY SETTING AND DESIGN

We conducted a cross-sectional study within the Medicare setting in the United States.

DATA SOURCES AND ANALYTICAL SAMPLE

Data from three distinct sources for 2017-2021: the Medicare Current Beneficiary Survey, the MA landscape data, and the Plan Benefit Package data. Our sample comprised 43,343 Medicare beneficiary-years, including TM and MA beneficiaries in urban and rural areas.

PRINCIPAL FINDINGS

Our adjusted analysis showed that rural MA beneficiaries experienced higher rates of delayed care due to costs (10.0% [95% confidence interval (CI): 8.8-11.1]) compared with rural TM (9.5% [8.8-10.2]), urban MA (7.9% [7.4-8.4]), and urban TM (7.9% [7.5-8.2]) beneficiaries. Similarly, rural MA beneficiaries (11.4% [95% CI: 10.3-12.5]) reported more difficulty paying medical bills compared with rural TM (9.4% [8.7-10.1]), urban MA (8.1% [7.7-8.6]), and urban TM (7.8% [7.5-8.2]) beneficiaries. This disparity was associated with less generous financial structures in rural MA plans. Compared to urban MA plans, rural MA plans offered lower out-of-pocket maximums for in-network care ($5918 vs. $5439), but required higher copayments ($1686 vs. $1724 for a 5-day hospitalization, $37 vs. $41 for a specialist visit, and $35 vs. $38 for a mental health visit). However, differences in quality of care and provision of supplemental benefits were small.

CONCLUSION

Rural Medicare beneficiaries reported a greater financial burden of care than urban Medicare beneficiaries, but the most significant burden was observed among MA beneficiaries in rural areas. One possible mechanism could be the less generous financial structures offered by rural MA plans. These findings suggest the need for policies addressing the affordability of care for rural MA beneficiaries.

Opting out of Medicare: Characteristics and differences between optometrists and ophthalmologists

OBJECTIVE

To determine the rate of Medicare opt-out among optometrists and ophthalmologists and to contrast the differences in the characteristics and geographic distribution of these populations.

DESIGN

A retrospective cross-sectional study.

SETTING

Using a publicly available Centers for Medicare & Medicaid Services (CMS) data set, we collated data for ophthalmologists and optometrists who opted out in each year between 2005 and 2023. We calculated the rate of opt-out annually in each year window and cumulatively from 2005 to 2023. Comparative analysis was used to identify clinician characteristics associated with opt-out.

MAIN OUTCOMES AND MEASURES

Both annual and cumulative rate of ophthalmologist and optometrist opt-out from Medicare.

RESULTS

The estimated prevalence of Medicare opt-outs was 0.52% (77/14,807) for ophthalmologists and 0.38% (154/40,526) for optometrists. Ophthalmologists opting out were predominantly male (67.5%), had a longer practice duration (average 31.8 years), and were more often located in urban areas (83.1%), compared to optometrists (53.2% male, average 19.6 years in practice, 59.1% in urban areas, p = 0.04, p<0.001, p<0.001 respectively). Approximately 83% of ophthalmologists were either anterior segment or oculoplastics specialties, while the majority (52.1%) of optometrists were in optometry-only practices; >75% of identified clinicians were in private practice. Geographical distribution across the US showed variable opt-out rates, with the top 3 states including Oklahoma (3.4%), Arizona (2.1%), and Kansas (1.6%) for ophthalmology and Idaho (4.3%), Montana (3.1%), and Wyoming (1.4%) for optometry.

CONCLUSIONS AND RELEVANCE

Few ophthalmologists and optometrists opt-out of Medicare but this trend has significantly increased since 2012. Of those who disenrolled from Medicare, 83% of ophthalmologists were in urbanized areas while 41% of optometrists were in non-urbanized areas. Because reasons for Medicare opt-out cannot be solely determined by administrative data, further investigation is warranted given the potential impact on healthcare accessibility.

National Institutes of Health pathways to prevention workshop: Improving rural health through telehealth-guided provider-to-provider communication

INTRODUCTION

Rural communities often face chronic challenges of high rates of serious health conditions coupled with inadequate access to health care services-challenges exacerbated by the COVID-19 pandemic. One strategy with the potential to mitigate these problems is the increased use of telehealth technology. A feature of telehealth applications-collaboration between health care providers for consultation and other purposes-referred to herein as Rural Provider-to-Provider Telehealth (RPPT), introduces important expertise that may not exist locally in rural communities. Literature indicates that RPPT is operationalized through many methods with an array of purposes. While RPPT is a promising strategy that brings additional expertise to patient-centered rural care delivery, there is limited evidence addressing important considerations, including how patient access and outcomes, provider satisfaction and performance, and payment may be affected by its use.

METHODS

Recognizing the significant potential of RPPT and the need for more information associated with its use, the National Institutes of Health convened a Pathways to Prevention (P2P) workshop to further understand RPPT's effectiveness and impact on improving health outcomes in rural settings. The P2P initiative, supported by several federal health agencies, engaged rural health stakeholders and experts to examine four key questions, identify related knowledge gaps, and provide recommendations to advance understanding of the use and impact of RPPT.

RESULTS

Included in this report is a description of the process used to generate information about RPPT, the identification of key knowledge gaps, and specific recommendations to further build needed evidence.

DISCUSSION

The emerging use of RPPT is an important tool for bridging gaps in access to care that impacts rural populations. However, to fully understand the value and effects of RPPT, new research is needed to fill the knowledge gaps identified in this report. Additionally, this report should help engage providers, payors, and policymakers interested in supporting evidence-informed RPPT practice, policy, and payment, with the ultimate aim of improving access to health care and health status of rural communities in the United States and worldwide.

The Ecology of Economic Distress and Life Expectancy

Objectives

To determine whether life expectancy (LE) changes between 2000 and 2019 were associated with race, rural status, local economic prosperity, and changes in local economic prosperity, at the county level.

Methods

Between 12/1/22 and 2/28/23, we conducted a retrospective analysis of 2000 and 2019 data from 3,123 United States counties. For Total, White, and Black populations, we compared LE changes for counties across the rural-urban continuum, the local economic prosperity continuum, and for counties in which local economic prosperity dramatically improved or declined.

Results

In both years, overall, across the rural-urban continuum, and for all studied populations, LE decreased with each progression from the most to least prosperous quintile (all p < 0.001); improving county prosperity between 2000-2019 was associated with greater LE gains (p < 0.001 for all).

Conclusion

At the county level, race, rurality, and local economic distress were all associated with LE; improvements in local economic conditions were associated with accelerated LE. Policymakers should appreciate the health externalities of investing in areas experiencing poor economic prosperity if their goal is to improve population health.

Trends and structural factors affecting health equity in the United States at the local level, 1990-2019

Health equity is fundamental to improving the health of populations, but in recent decades progress towards this goal has been mixed. To better support this mission, a deeper understanding of the local heterogeneity within population-level health equity is vital. This analysis presents trends in average health and health equity in the United States at the local level from 1990 to 2019 using three different health outcomes: mortality, self-reported health status, and healthy days. Furthermore, it examines the association between these measures of average health and health equity with several structural factors. Results indicate growing levels of geographic inequality disproportionately impacting less urbanized parts of the country, with rural counties experiencing the largest declines in health equity, followed by Medium and Small Metropolitan counties. Additionally, lower levels of health equity are associated with poorer local socioeconomic context, including several measures that are proxies for structural racism. Altogether, these findings strongly suggest social and economic factors play a pivotal role in explaining growing levels of geographic health inequality in the United States. Policymakers invested in improving health equity must adopt holistic and upstream approaches to improve and equalize economic opportunity as a means of fostering health equity.

Cardiovascular hospitalizations and mortality among adults aged 25-64 years in the USA

BACKGROUND AND AIMS

Declines in cardiovascular mortality have stagnated in the USA since 2011. There is growing concern that these patterns reflect worsening cardiovascular health in younger adults. However, little is known about how the burden of acute cardiovascular hospitalizations and mortality has changed in this population. Changes in cardiovascular hospitalizations and mortality among adults aged 25-64 years were evaluated, overall and by community-level income.

METHODS

Using the National Inpatient Sample, age-standardized annual hospitalization and in-hospital mortality rates for acute myocardial infarction (AMI), heart failure, and ischaemic stroke were determined among adults aged 25-64 years. Quasi-Poisson and quasi-binominal regression models were fitted to compare outcomes between individuals residing in low- and higher-income communities.

RESULTS

Between 2008 and 2019, age-standardized hospitalization rates for AMI increased among younger adults from 155.0 (95% confidence interval: 154.6, 155.4) per 100 000 to 160.7 (160.3, 161.1) per 100 000 (absolute change +5.7 [5.0, 6.3], P < .001). Heart failure hospitalizations also increased (165.3 [164.8, 165.7] to 225.3 [224.8, 225.8], absolute change +60.0 (59.3, 60.6), P < .001), as ischaemic stroke hospitalizations (76.3 [76.1, 76.7] to 108.1 [107.8, 108.5], absolute change +31.7 (31.2, 32.2), P < .001). Across all conditions, hospitalizations rates were significantly higher among younger adults residing in low-income compared with higher-income communities, and disparities did not narrow between groups. In-hospital mortality decreased for all conditions over the study period.

CONCLUSIONS

There was an alarming increase in cardiovascular hospitalizations among younger adults in the USA from 2008 to 2019, and disparities between those residing in low- and higher-income communities did not narrow.

Social Isolation and Safety Issues among Rural Older Adults Living Alone: Perspectives of Meals on Wheels Programs

Ensuring the safety and social well-being of rural populations, especially rural older adults living alone with complex medical conditions, is challenging, given large, sparsely populated communities and limited resources. Using qualitative data from surveys with 42 rural Meals on Wheels programs from across the U.S., we highlight particular challenges to meeting the social and safety needs of rural older adults living alone. Respondents described challenges, opportunities, and successes in meeting the needs of their clients. We describe these under four domains: main challenges, what can be done to address social isolation and loneliness, safety issues, improving safety, and current successes. We also identify cross-cutting themes related to programs' rural environment (long distances, inclement weather), infrastructure (housing quality, access to broadband Internet and technological connectivity, road conditions), funding and resource availability, and service provision (availability of health care and partner organizations.) We describe each of these in more detail and also share policy recommendations for improving health and safety of older adults living alone in rural areas, including funding nutrition programs as a health benefit and addressing aging, poor-quality housing stock.

THE ROLE OF HEALTH POLICY IN IMPROVING HEALTH OUTCOMES AND HEALTH EQUITY

Despite higher per-capita health care spending than any other country, the United States lags far behind in health outcomes. Additionally, there are significant health inequities by race, ethnicity, socioeconomic position, and rurality. One set of potential solutions to improve these outcomes and reduce inequities is through health policy. Policy focused on improving access to care through insurance coverage, such as the Affordable Care Act's Medicaid expansion, has led to better health and reduced mortality. Policy aimed at improving health care delivery, including value-based payment and alternative payment models, has improved quality of care but has had little impact on population health outcomes. Policies that influence broader issues of economic opportunity likely have a strong influence on health, but lack the evidence base of more targeted interventions. To advance health outcomes and equity, further policy change is crucial.

Rural African American Women With Severe Obesity: A Cross-Sectional Analysis of Lifestyle Behaviors and Psychosocial Characteristics

PURPOSE

To examine differences in lifestyle behavioral and psychosocial factors between rural African American women with Class 3 obesity and those with overweight, and Class 1-2 obesity.

DESIGN

Cross-sectional study.

SETTING

Rural Southeastern United States.

SUBJECTS

Participants included 289 African American women with a mean age of 56 years, 66% with a high school education or less, and a mean body mass index (BMI) of 38.6 kg/m2; 35% (n = 102) were classified with Class 3 obesity.

MEASURES

We objectively measured height, weight, and physical activity steps/day. Self-reported dietary and physical activity behaviors, general health-related quality of life, mental health, and social support were measured with validated surveys.

ANALYSIS

Chi-Square analysis for categorical variables and analysis of variance (ANOVA) - via multiple linear regression - for continuous variables.

RESULTS

There were no significant demographic differences between BMI groups, except for age, where women with Class 3 obesity were on average younger (51 vs 58 y, P < .001). Although dietary behaviors did not differ significantly between groups, we observed significant group differences in self-reported and objective measures of physical activity. The age-adjusted difference in means for self-reported total physical activity minutes/wk. was 91 minutes, with women categorized with Class 3 obesity reporting significantly fewer weekly minutes than those with overweight/Class 1-2 obesity (64.3 vs 156.4 min/wk. respectively, P < .01). Among psychosocial variables, only in the physical component scores of health-related quality of life did we find significant group differences - lower physical well-being among women with Class 3 obesity compared to those with overweight/Class 1-2 obesity (P = .02).

CONCLUSION

For African American women with Class 3 obesity living in rural setting, these findings suggest behavioral weight loss interventions may need to target physical activity strategies that address physical, psychosocial, and environmental barriers.

Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them

While rural-urban disparities in health and health outcomes have been demonstrated, because of their impact on (and intervenability to improve) health and health outcomes, we sought to examine cross-sectional and longitudinal inequities in health, clinical care, health behaviors, and social determinants of health (SDOH) between rural and non-rural counties in the pre-pandemic era (2015 to 2019), and to present a Health Equity Dashboard that can be used by policymakers and researchers to facilitate examining such disparities. Therefore, using data obtained from 2015-2022 County Health Rankings datasets, we used analysis of variance to examine differences in 33 county level attributes between rural and non-rural counties, calculated the change in values for each measure between 2015 and 2019, determined whether rural-urban disparities had widened, and used those data to create a Health Equity Dashboard that displays county-level individual measures or compilations of them. We followed STROBE guidelines in writing the manuscript. We found that rural counties overwhelmingly had worse measures of SDOH at the county level. With few exceptions, the measures we examined were getting worse between 2015 and 2019 in all counties, relatively more so in rural counties, resulting in the widening of rural-urban disparities in these measures. When rural-urban gaps narrowed, it tended to be in measures wherein rural counties were outperforming urban ones in the earlier period. In conclusion, our findings highlight the need for policymakers to prioritize rural settings for interventions designed to improve health outcomes, likely through improving health behaviors, clinical care, social and environmental factors, and physical environment attributes. Visualization tools can help guide policymakers and researchers with grounded information, communicate necessary data to engage relevant stakeholders, and track SDOH changes and health outcomes over time.

Quality of Care and Outcomes Among Patients Hospitalized for Heart Failure in Rural vs Urban US Hospitals: The Get With The Guidelines-Heart Failure Registry

Importance

Prior studies have suggested patients with heart failure (HF) from rural areas have worse clinical outcomes. Contemporary differences between rural and urban hospitals in quality of care and clinical outcomes for patients hospitalized for HF remain poorly understood.

Objective

To assess quality of care and clinical outcomes for US patients hospitalized for HF at rural vs urban hospitals.

Design, Setting, and Participants

This retrospective cohort study analyzed 774 419 patients hospitalized for HF across 569 sites in the Get With The Guidelines-Heart Failure (GWTG-HF) registry between January 1, 2014, and September 30, 2021. Postdischarge outcomes were assessed in a subset of 161 996 patients linked to Medicare claims. Data were analyzed from August 2022 to January 2023.

Main Outcomes and Measures

GWTG-HF quality measures, in-hospital mortality, length of stay, and 30-day mortality and readmission outcomes.

Results

This study included 19 832 patients (2.6%) and 754 587 patients (97.4%) hospitalized at 49 rural hospitals (8.6%) and 520 urban hospitals (91.4%), respectively. Of 774 419 included patients, 366 161 (47.3%) were female, and the median (IQR) age was 73 (62-83) years. Compared with patients at urban hospitals, patients at rural hospitals were older (median [IQR] age, 74 [64-84] years vs 73 [61-83] years; standardized difference, 10.63) and more likely to be non-Hispanic White (14 572 [73.5%] vs 498 950 [66.1%]; standardized difference, 34.47). In adjusted models, patients at rural hospitals were less likely to be prescribed cardiac resynchronization therapy (adjusted risk difference [aRD], -13.5%; adjusted odds ratio [aOR], 0.44; 95% CI, 0.22-0.92), angiotensin-converting enzyme inhibitor or angiotensin receptor blocker (aRD, -3.7%; aOR, 0.71; 95% CI, 0.53-0.96), and an angiotensin receptor-neprilysin inhibitor (aRD, -5.0%; aOR, 0.68; 95% CI, 0.47-0.98) at discharge. In-hospital mortality was similar between rural and urban hospitals (460 of 19 832 [2.3%] vs 20 529 of 754 587 [2.7%]; aOR, 0.86; 95% CI, 0.70-1.07). Patients at rural hospitals were less likely to have a length of stay of 4 or more days (aOR, 0.75; 95% CI, 0.67-0.85). Among Medicare beneficiaries, there were no significant differences between rural and urban hospitals in 30-day HF readmission (adjusted hazard ratio [aHR], 1.03; 95% CI, 0.90-1.19), all-cause readmission (aHR, 0.97; 95% CI, 0.91-1.04), and all-cause mortality (aHR, 1.05; 95% CI, 0.91-1.21).

Conclusions and Relevance

In this large contemporary cohort of US patients hospitalized for HF, care at rural hospitals was independently associated with lower use of some guideline-recommended therapies at discharge and shorter length of stay. In-hospital mortality and 30-day postdischarge outcomes were similar at rural and urban hospitals.

Primary Care Physician Supply by County-Level Characteristics, 2010-2019

This study evaluates and compares US trends between 2010 and 2019 in per-capita primary care physician supply by county-level racial and ethnic minority concentration, poverty, rurality, and region.

Health Equity and Social Determinants of Health in Pediatric Gastroenterology

Social determinants of health (SDH) as outlined by Healthy People 2020 encompasses 5 key domains: economic, education, social and community context, health and health care, and neighborhood and built environment. This article emphasizes pediatric populations and some of the existing SDH and health care disparities seen in pediatric gastroenterology. We specifically review inflammatory bowel disease, endoscopy, bariatric surgery, and liver transplantation. We also examine the burgeoning role of telehealth that has become commonplace since the coronavirus disease 2019 era.

Gender-Based Disparities in Rural Versus Urban Patients Undergoing Cardiac Procedures

Introduction Rural populations have higher rates of diabetes and hypertension (HTN) with disparities in outcomes among patients presenting to the emergency room with heart attack and stroke. However, it is unclear whether there are any sex differences among patients presenting for cardiac procedures from rural versus urban areas. Our study aimed to investigate gender-based differences in baseline characteristics and procedural outcomes among rural and urban residents presenting for cardiac catheterization and percutaneous interventional procedures. Methods We assessed baseline conditions and outcomes in 1775 patients who underwent cardiac catheterization and or Percutaneous Coronary Intervention at the University of Tennessee Medical Center between July 2018 to October 2019 from rural as well as urban areas. Baseline conditions assessed were diabetes, HTN, stroke, peripheral vascular disease, heart failure, and prior bypass surgery. Outcomes assessed were vascular/bleeding complications, duration of the procedure, and mortality. Results There were significant gender-based inter-group differences in outcomes between rural versus urban residents. In general, both rural and urban males had significantly longer procedure times and higher mortality than rural or urban females (P=0.01). Among females, rural women had longer procedure times than urban women. Bleeding complications were greater among rural residents than urban residents (p≤0.001), with rural females having the highest bleeding complication rate. Mortality was also higher among rural females compared to their urban counterparts (p=0.01). Significant gender-based inter-group differences were noted between rural versus urban residents. While the incidence of stroke was higher among rural and urban females compared to males, the peripheral vascular disease was more common among males. The history of coronary artery bypass graft (CABG) was more commonly seen among rural males than females. Rural and urban males had significantly longer procedure times than females, particularly urban females (P=0.01). Among women, rural females had longer procedure times, higher vascular/bleeding complications, and greater mortality than urban females. Mortality was higher among rural men and women compared to urban men or women (p=0.01). Rural women had the highest bleeding/vascular complications. Conclusions We found significant gender-based differences between rural versus urban patients. While rural females had a higher incidence of stroke, peripheral vascular disease and a history of CABG were more commonly seen among rural males. Overall, rural males had higher mortality than females (P=0.01). Among women, rural females had longer procedure times, higher bleeding complications, and greater mortality than urban females. Being aware of such gender-based differences may help physicians take steps to improve outcomes. Information derived from our study may also be useful for policymakers in directing healthcare funding to lower gaps in the care of patients such as those with peripheral vascular disease, ultimately leading to better health outcomes.