Differences in Care Provided in Urban and Rural Nursing Homes in the United States: Literature Review

Metro-Nonmetro Differences in Adverse Events in Residential Care Communities: Results From the National Post-Acute and Long-Term Care Study

More than 1 in 5 older Americans live in rural areas (10.6 million of the 46.2 million aged 65 and older). Long-term care for aging rural populations is a growing challenge in the United States. Research on long-term care services in nonmetro areas has focused almost exclusively on nursing home care, despite growth of residential care alternatives. This paper uses unique facility-level data from the 2020 National Post-acute and Long-term Care Study (NPALS) to examine the relationship of residential care community (RCC) features in metro and nonmetro settings with adverse outcomes (emergency department visits, overnight hospital stays, and falls). Nationally, in 2020, about 13.5% of RCC residents made visits to the emergency department, 8.6% had overnight hospital stays, and 21.3% had falls. Controlling for facility characteristics, RCCs in metro areas had higher risks of overnight hospital stays (p < .001) but lower risks of falls (p = .06).

Patient Characteristics and Treatment Patterns for Speech-Language Pathology Services in Skilled Nursing Facilities

PURPOSE

Skilled nursing facility (SNF) care has historically been influenced by systemic issues that could impact speech-language pathology (SLP) service provision. However, there has been little study specifically on factors associated with SLP service provision in SNFs. Large administrative data sets are rarely analyzed in SLP research but can be used to understand real-world SLP services. This study investigated associations between patient and facility characteristics and SLP services.

METHOD

Mixed-effects logistic regression models were used to evaluate factors associated with SLP service provision in 2018 Medicare administrative data representing 833,653 beneficiaries.

RESULTS

Beneficiaries had higher odds of receiving SLP services when they had neurologic diagnosis (odds ratio [OR] = 3.32), had SLP-related functional impairments (ORs = 1.19-3.41), and received other rehabilitative services (ORs = 3.11-3.78). Beneficiaries had lower odds of receiving SLP services when they received care from SNFs located in hospitals versus freestanding (OR = 0.45), with need for interpreter services (OR = 0.76) and with thresholding (OR = 0.68), a financially motivated practice. Direction of association varied across racial and ethnic groups and measures of location. Odds of being provided SLP services decreased with increasing communication impairment severity.

CONCLUSIONS

The results suggest that clinicians are identifying patients with diagnoses most likely to warrant SLP services. However, association disparities and weakening association of service provision with increasing impairment severity have concerning clinical implications. Health services research methods can be used to further explore SLP practices in SNFs to support equitable service provision.

The Association of Organizational, Environmental, and Staffing Characteristics of Residential Care Facilities and the Risk Rating of Statutory Notifications: A Cross-Sectional Study in Ireland

OBJECTIVES

Safety incidents (SIs) are an indicator of quality in health and social care services. Safety incident research has largely focused on acute health care settings. We aimed to examine the association of organizational, environmental, and staffing characteristics of residential care facilities (RCFs) and severity of regulatory SI notifications.

METHODS

This was a retrospective analysis of SI notifications to the regulator for social care in Ireland received in 2018 and 2019. The mean risk rating of SI notifications for each RCF was used as the outcome. Regression analysis was conducted for the association of RCF characteristics (beds, staff to bed ratio, staff full-time equivalent (FTE), nurse to bed ratio, nurse FTE, number of RCF operated by the service provider, non-statutory or statutory provider) and the outcome, separately for nursing homes and residential disability services.

RESULTS

A total of 53,268 SI notifications were received. One thousand nine hundred RCFs were operational during the period: 594 (31.3%) for RCF-Nursing home and 1304 (68.7%) for RCF-Disability. For nursing homes, in the most adjusted model, the number of RCF operated by a provider ( β coefficient [95% confidence interval] = 0.508 [0.223-0.793]) was positively associated with mean risk rating of SI. For disability services, the following characteristics were positively associated in the most adjusted model: beds (0.081; 0.060-0.101), staff to bed ratio (0.068; 0.017-0.120), nurse to bed ratio (0.356; 0.044-0.667), staff FTE (0.029; 0.015-0.042), and number of RCF operated by a provider (0.067; 0.050-0.084).

CONCLUSIONS

Various modifiable organizational, environmental, and staffing characteristics and severity of SI notifications were associated in this study, most of which were related to RCF-Disability. Policymakers and providers of social care services should be cognizant of the relationship of these characteristics and severity of SI, when designing and planning residential care.

Individual Socioeconomic Factors Have a Greater Impact on End-of-Life Care Outcomes Than Regional Factors

Background: End-of-life (EoL) care provided to Americans in urban and rural settings is distinct in terms of both available and delivered services. However, much less is known about which geographic, demographic, and health indicators are associated with disparities in EoL care and how individual versus regional characteristics influence quality of care (QoC). Objective: This study aimed to assess how regionality, rurality, and individual socioeconomic factors are associated with QoC in the last month of life (LML). Design: Nationally representative cross-sectional study using the proxy-completed LML questionnaire as part of the National Health and Aging Trends Study (NHATS). The data were linked at the zip code level to geographic and economic indicators. Settings/Subjects: A total of 2778 NHATS enrollees who died from 2012 to 2020. Measurements: Measurements included population density, socioeconomic indicators, health factors, and health outcomes. The primary independent variable was proxy-reported QoC during the LML (excellent vs. not excellent). Results: In our sample, 52.1% (n = 1447) reported not excellent care and 47.9% (n = 1331) reported excellent care. These populations varied in their demographic and socioeconomic characteristics. After accounting for survey weighting and design, decedents in the top (odds ratio [OR]: 1.58; 95% confidence interval [CI]: 1.08-2.32) income quartile had significantly greater odds of receiving excellent care than decedents in the bottom quartile. Decedents in zip codes with top quartile health outcome metrics had significantly greater odds of receiving excellent care (OR: 1.64; 95% CI: 1.17-2.29) than decedents in zip codes with bottom quartile health outcomes. County rurality index and county health factors were not correlated with QoC in the LML. Conclusions: High QoC at the EoL may be more associated with individual socioeconomic factors than regional indicators, including degrees of rurality. Clinicians should strive to recognize the interplay of individual characteristics and regional indicators to provide more personalized care.

Structural Racism, Place, and COVID-19: A Narrative Review Describing How We Prepare for an Endemic COVID-19 Future

Background:

Place is a social determinant of health, as recently evidenced by COVID-19. Previous literature surrounding health disparities in the United States often fails to acknowledge the role of structural racism on place-based health disparities for historically marginalized communities (i.e., Black and African American communities, Hispanic/Latinx communities, Indigenous communities [i.e., First Nations, Native American, Alaskan Native, and Native Hawaiian], and Pacific Islanders). This narrative review summarizes the intersection between structural racism and place as contributors to COVID-19 health disparities.

Methods:

This narrative review accounts for the unique place-based health care experiences influenced by structural racism, including health systems and services and physical environment. We searched online databases for peer-reviewed and governmental sources, published in English between 2000 and 2021, related to place-based U.S. health inequities in historically marginalized communities. We then narrate the link between the historical trajectory of structural racism and current COVID-19 health outcomes for historically marginalized communities.

Results:

Structural racism has infrequently been named as a contributor to place as a social determinant of health. This narrative review details how place is intricately intertwined with the results of structural racism, focusing on one's access to health systems and services and physical environment, including the outdoor air and drinking water. The role of place, health disparities, and structural racism has been starkly displayed during the COVID-19 pandemic, where historically marginalized communities have been subject to greater rates of COVID-19 incidence and mortality.

Conclusion:

As COVID-19 becomes endemic, it is crucial to understand how place-based inequities and structural racism contributed to the COVID-19 racial disparities in incidence and mortality. Addressing structurally racist place-based health inequities through anti-racist policy strategies is one way to move the United States toward achieving health equity.