Caregiving for Older Adults With Dementia During the Time of COVID-19: A Multi-State Exploratory Qualitative Study.

This qualitative semi-structured interview study explores how 64 family caregivers for older adults with Alzheimer's Disease and related dementias across eight states experienced and executed caregiving decisions before and during the COVID-19 pandemic. First, caregivers experienced challenges communicating with loved ones and healthcare workers in all care settings. Second, caregivers displayed resilient coping strategies in adapting to pandemic restrictions, finding novel strategies to balance risks while preserving communication, oversight, and safety. Third, many caregivers modified care arrangements, with some avoiding and others embracing institutional care. Finally, caregivers reflected on the benefits and challenges of pandemic-related innovations. Certain policy changes reduced caregiver burden and could improve care access if made permanent. Telemedicine's increasing use highlights the need for reliable internet access and accommodations for individuals with cognitive deficits. Public policies must pay greater attention to challenges faced by family caregivers, whose labor is both essential and undervalued.

Association of COVID-19 Vaccination Rates of Staff and COVID-19 Illness and Death Among Residents and Staff in US Nursing Homes.

Importance: It is important to understand the association between staff vaccination rates and adverse COVID-19 outcomes in nursing homes. Objective: To assess the extent to which staff vaccination was associated with preventing COVID-19 cases and deaths among residents and staff in nursing homes. Design, Setting, and Participants: This longitudinal cohort study used data on COVID-19 outcomes in Medicare- and Medicaid-certified nursing homes in the US between May 30, 2021, and January 30, 2022. Participants included the residents of 15 042 US nursing homes that reported COVID-19 data to the Centers for Disease Control and Prevention and passed Centers for Medicare & Medicaid Services data quality checks in the National Healthcare Safety Network. Exposures: Weekly staff vaccination rates. Main Outcomes and Measures: Main outcomes are weekly COVID-19 cases and deaths among residents and weekly COVID-19 cases among staff. The treatment variable is the primary 2-dose staff vaccination rate in each facility each week. Results: In the primary analysis of 15 042 nursing homes before the Omicron variant wave (May 30 to December 5, 2021) using fixed effects of facility and week, increasing weekly staff vaccination rates by 10 percentage points was associated with 0.13 (95% CI, -0.20 to -0.10) fewer weekly COVID-19 cases per 1000 residents, 0.02 (95% CI, -0.03 to -0.01) fewer weekly COVID-19 deaths per 1000 residents, and 0.03 (95% CI, -0.04 to -0.02) fewer weekly COVID-19 staff cases. In the secondary analysis of the Omicron wave (December 5, 2021, to January 30, 2022), increasing staff vaccination rates were not associated with lower rates of adverse COVID-19 outcomes in nursing homes. Conclusions and Relevance: The findings of this cohort study suggest that before the Omicron variant wave, increasing staff vaccination rates was associated with lower incidence of COVID-19 cases and deaths among residents and staff in US nursing homes. However, as newer, more infectious and transmissible variants of the virus emerged, the original 2-dose regimen of the COVID-19 vaccine as recommended in December 2020 was no longer associated with lower rates of adverse COVID-19 outcomes in nursing homes. Policy makers may want to consider longer-term policy options to increase the uptake of booster doses among staff in nursing homes.

Beyond Compliance: A More Integrated Public Health Approach To Outbreaks In Nursing Homes And Other Disasters.

Nursing home residents are vulnerable to disproportionate harm during disasters and health emergencies, as evidenced by the recent impact of COVID-19 and extreme weather events. Evaluation of these disasters shows that the nursing homes in question were often in compliance with relevant regulations around emergency planning. However, advance planning for disasters cannot anticipate every contingency, leading to the need for flexibility and quick adaptation on the part of nursing home leaders. In addition, disasters often involve larger, regional problems and situations that individual providers cannot solve. We suggest that policy makers need to prioritize development and expectations around leadership skills in nursing home management and better integrate the long-term care sector into local, state, and federal public health planning for future pandemics and other disasters.

Caregiving During COVID-19: A Multi-State Qualitative Study of Family Caregiver Experiences and Decision Making

COVID-19 poses unique challenges to family caregivers. This study explores how family caregivers for older adults with cognitive impairments experience and make decisions about caregiving during a global pandemic. Using purposive sampling, 63 family caregivers across eight states participated in open-ended qualitative interviews (2019-2020), until thematic saturation was reached. Questions broadly examined caregivers’ experiences and decisions, focusing on decisions made around type of care setting. Questions about responses to the Pandemic were added as events unfolded. States were selected to represent variation in Home and Community Based Service (HCBS) expenditures as a percentage of total Medicaid long-term services and supports expenditures. Family caregivers experienced significant concern about COVID-19 itself, and about the indirect consequences of caregiving caused by the pandemic. Caregivers also displayed flexibility and adaptability in ceasing selected services, contingently continuing services, and utilizing telemedicine and other remote healthcare interventions to protect their loved ones. Many family caregivers utilized remote health care tools such telemedicine, no-contact prescription and grocery delivery. Such measures improved service access and reduced caregiver workload. Given the persistent challenges posed by COVID-19, long-term service organizations have an opportunity to enhance their policies to meet the needs of caregivers and those they care for. There is a need to expand telemedicine and other remote healthcare tools, while adapting these technologies to the needs of families. Also, procedures are needed for safe pathways to utilize HCBS and nursing care during a pandemic including communication supports, sufficient PPE, increased staffing, and utilization of evidence-based protocols.

Reimagining Financing and Payment of Long-Term Care.

The COVID-19 pandemic revealed fundamental problems with the structure of long-term care financing and payment in the United States. The piecemeal system that exists suffers from several key problems, including underfunding, fragmentation across types and sites of care, and substantial variation in payment across states and populations. These problems result in inefficient allocation of resources, limited access to care, substandard quality, and inequities in both access and quality. We propose a new federal benefit for long-term care, most likely as part of the Medicare program. Essential features of this benefit include taxpayer subsidies, along the lines of other Medicare benefits, and coverage across the range of long-term care services, including both residential and home- and community-based care. A new federal benefit has the most potential to break down administrative barriers and improve resource allocation, to ensure adequate payment rates across all states, to expand access to care by spreading risk across the entire Medicare population, and to improve equity by extending coverage to all Medicare beneficiaries who want it. A new federal benefit is politically challenging, requiring bold action by Congress, and entails the risks of administrative challenges and unintended consequences. However, in this case, retaining the status quo remains the far greater risk.

A systematic review of long-term care facility characteristics associated with COVID-19 outcomes.

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has taken a disproportionate toll on long-term care facility residents and staff. Our objective was to review the empirical evidence on facility characteristics associated with COVID-19 cases and deaths. DESIGN: Systematic review. SETTING: Long-term care facilities (nursing homes and assisted living communities). PARTICIPANTS: Thirty-six empirical studies of factors associated with COVID-19 cases and deaths in long-term care facilities published between January 1, 2020 and June 15, 2021. MEASUREMENTS: Outcomes included the probability of at least one case or death (or other defined threshold); numbers of cases and deaths, measured variably. RESULTS: Larger, more rigorous studies were fairly consistent in their assessment of risk factors for COVID-19 outcomes in long-term care facilities. Larger bed size and location in an area with high COVID-19 prevalence were the strongest and most consistent predictors of facilities having more COVID-19 cases and deaths. Outcomes varied by facility racial composition, differences that were partially explained by facility size and community COVID-19 prevalence. More staff members were associated with a higher probability of any outbreak; however, in facilities with known cases, higher staffing was associated with fewer deaths. Other characteristics, such as Nursing Home Compare 5-star ratings, ownership, and prior infection control citations, did not have consistent associations with COVID-19 outcomes. CONCLUSION: Given the importance of community COVID-19 prevalence and facility size, studies that failed to control for these factors were likely confounded. Better control of community COVID-19 spread would have been critical for mitigating much of the morbidity and mortality long-term care residents and staff experienced during the pandemic. Traditional quality measures such as Nursing Home Compare 5-Star ratings and past deficiencies were not consistent indicators of pandemic preparedness, likely because COVID-19 presented a novel problem requiring extensive adaptation by both long-term care providers and policymakers.

Addressing Systemic Racism in Nursing Homes: A Time for Action.

Long-term services and supports for older persons in the United States are provided in a complex, racially segregated system, with striking racial disparities in access, process, and outcomes of care for residents, which have been magnified during the Coronavirus Disease 2019 pandemic. These disparities are in large measure the result of longstanding patterns of structural, interpersonal, and cultural racism in US society, which in aggregate represent an underpinning of systemic racism that permeates the long-term care system's organization, administration, regulations, and human services. Mechanisms underlying the role of systemic racism in producing the observed disparities are numerous. Long-term care is fundamentally tied to geography, thereby reflecting disparities associated with residential segregation. Additional foundational drivers include a fragmented payment system that advantages persons with financial resources, and reimbursement policies that systematically undervalue long-term care workers. Eliminating disparities in health outcomes in these settings will therefore require a comprehensive approach to eliminating the role of systemic racism in promoting racial disparities.

Staffing Levels and COVID-19 Cases and Outbreaks in U.S. Nursing Homes.

BACKGROUND/OBJECTIVES: Nursing homes have experienced a disproportionate share of COVID-19 cases and deaths. Early analyses indicated that baseline quality was not predictive of nursing home cases, but a more nuanced study of the role of nurse staffing is needed to target resources and better respond to future outbreaks. We sought to understand whether baseline nurse staffing is associated with the presence of COVID-19 in nursing homes and whether staffing impacts outbreak severity. DESIGN: We analyzed Centers for Medicare & Medicaid Services (CMS) facility-level data on COVID-19 cases and deaths merged with nursing home and county characteristics. We used logistic regressions to examine the associations of staffing levels from Nursing Home Compare with the outcomes of any COVID-19 cases and, conditional on at least one case, an outbreak. Among facilities with at least one case, we modeled count of deaths using hurdle negative binomial-2 regressions. SETTING: All nursing homes in the CMS COVID-19 Nursing Home Dataset with reports that passed the CMS Quality Assurance Check as of June 25, 2020. PARTICIPANTS: Residents of nursing homes that met COVID-19 reporting requirements. MEASUREMENTS: A nursing home is defined as having at least one case is if one or more confirmed or suspected COVID-19 case among residents or staff is reported. Conditional on at least one case, we examine two outcomes: an outbreak, defined as confirmed cases/certified beds >10% or total confirmed and suspected cases/beds >20% or >10 deaths, and the total number of deaths attributed to COVID-19 among residents and staff. RESULTS: A total of 71% of the 13,167 nursing homes that reported COVID-19 data as of June 14 had at least one case among residents and/or staff. Of those, 27% experienced an outbreak. Higher registered nurse-hours are associated with a higher probability of experiencing any cases. However, among facilities with at least one case, higher nurse aide (NA) hours and total nursing hours are associated with a lower probability of experiencing an outbreak and with fewer deaths. The strongest predictor of cases and outbreaks in nursing homes is per capita cases in the county. CONCLUSION: The prevalence of COVID-19 in the community remains the strongest predictor of COVID-19 cases and deaths in nursing homes, but higher NA hours and total nursing hours may help contain the number of cases and deaths.

The Metrics Matter: Improving Comparisons of COVID-19 Outbreaks in Nursing Homes.

OBJECTIVES: In the United States, nursing facility residents comprise fewer than 1% of the population but more than 40% of deaths due to Coronavirus Disease 2019 (COVID-19). Mitigating the enormous risk of COVID-19 to nursing home residents requires adequate data. The widely used Centers for Medicare & Medicaid Services (CMS) COVID-19 Nursing Home Dataset contains 2 derived statistics: Total Resident Confirmed COVID-19 Cases per 1000 Residents and Total Resident COVID-19 Deaths per 1000 Residents. These metrics provide a misleading picture, as facilities report cumulative counts of cases and deaths over different time periods but use a point-in-time measure as proxy for number of residents (number of occupied beds in a week), resulting in inflated statistics. We propose an alternative statistic to better illustrate the burden of COVID-19 cases and deaths across nursing facilities. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Using the CMS Nursing Home Compare and COVID-19 Nursing Home Datasets, we examined facilities with star ratings and COVID-19 data passing quality assurance checks for each reporting period from May 31 to August 16, 2020 (n = 11,115). METHODS: We derived an alternative measure of the number of COVID-19 cases per 1000 residents using the net change in weekly census. For each measure, we compared predicted number of cases/deaths by overall star rating using negative binomial regression with constant dispersion, controlling for county-level cases per capita and nursing home characteristics. RESULTS: The average number of cases per 1000 estimated residents using our method is lower compared with the metric using occupied beds as proxy for number of residents (44.8 compared with 66.6). We find similar results when examining number of COVID-19 deaths per 1000 residents. CONCLUSIONS AND IMPLICATIONS: Future research should estimate the number of residents served in nursing facilities when comparing COVID-19 cases/deaths in nursing facilities. Identifying appropriate metrics for facility-level comparisons is critical to protecting nursing home residents as the pandemic continues.

Factors Associated With Racial Differences in Deaths Among Nursing Home Residents With COVID-19 Infection in the US.

Importance: It is important to understand differences in coronavirus disease 2019 (COVID-19) deaths by nursing home racial composition and the potential reasons for these differences so that limited resources can be distributed equitably. Objective: To describe differences in the number of COVID-19 deaths by nursing home racial composition and examine the factors associated with these differences. Design, Setting, and Participants: This cross-sectional study of 13 312 nursing homes in the US used the Nursing Home COVID-19 Public File from the Centers for Medicare and Medicaid Services, which contains COVID-19 cases and deaths among nursing home residents as self-reported by nursing homes beginning between January 1, 2020, and May 24, 2020, and ending on September 13, 2020. Data were analyzed from July 28 to December 18, 2020. Exposures: Confirmed or suspected COVID-19 infection. Confirmed cases were defined as COVID-19 infection confirmed by a diagnostic laboratory test. Suspected cases were defined as signs and/or symptoms of COVID-19 infection or patient-specific transmission-based precautions for COVID-19 infection. Main Outcomes and Measures: Deaths associated with COVID-19 among nursing home residents. Death counts were compared by nursing home racial composition, which was measured as the proportion of White residents. Results: Among 13 312 nursing homes included in the study, the overall mean (SD) age of residents was 79.5 (6.7) years. A total of 51 606 COVID-19-associated deaths among residents were reported, with a mean (SD) of 3.9 (8.0) deaths per facility. The mean (SD) number of deaths in nursing homes with the lowest proportion of White residents (quintile 1) vs nursing homes with the highest proportions of White residents (quintile 5) were 5.6 (9.2) and 1.7 (4.8), respectively. Facilities in quintile 1 experienced a mean (SE) of 3.9 (0.2) more deaths than those in quintile 5, representing a 3.3-fold higher number of deaths in quintile 1 compared with quintile 5. Adjustment for the number of certified beds reduced the mean (SE) difference between these 2 nursing home groups to 2.2 (0.2) deaths. Controlling for case mix measures and other nursing home characteristics did not modify this association. Adjustment for county-level COVID-19 prevalence further reduced the mean (SE) difference to 1.0 (0.2) death. Conclusions and Relevance: In this study, nursing homes with the highest proportions of non-White residents experienced COVID-19 death counts that were 3.3-fold higher than those of facilities with the highest proportions of White residents. These differences were associated with factors such as larger nursing home size and higher infection burden in counties in which nursing homes with high proportions of non-White residents were located. Focusing limited available resources on facilities with high proportions of non-White residents is needed to support nursing homes during potential future outbreaks.