Association Between CMS Quality Ratings and COVID-19 Outbreaks in Nursing Homes - West Virginia, March 17-June 11, 2020

Association between delayed outbreak identification and SARS-CoV-2 infection and mortality among long-term care home residents, Ontario, Canada, March to November 2020: a cohort study

BackgroundLate outbreak identification is a common risk factor mentioned in case reports of large respiratory infection outbreaks in long-term care (LTC) homes.AimTo systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.MethodsWe studied SARS-CoV-2 outbreaks across LTC homes in Ontario, Canada from March to November 2020, before the COVID-19 vaccine rollout. Our exposure (late outbreak identification) was based on cumulative infection pressure (the number of infectious resident-days) on the outbreak identification date (early: ≤ 2 infectious resident-days, late: ≥ 3 infectious resident-days), where the infectious window was -2 to +8 days around onset. Our outcome consisted of 30-day incidence of secondary infection and mortality, based on the proportion of at-risk residents with a laboratory-confirmed SARS-CoV-2 infection with onset within 30 days of the outbreak identification date.ResultsWe identified 632 SARS-CoV-2 outbreaks across 623 LTC homes. Of these, 36.4% (230/632) outbreaks were identified late. Outbreaks identified late had more secondary infections (10.3%; 4,437/42,953) and higher mortality (3.2%; 1,374/42,953) compared with outbreaks identified early (infections: 3.3%; 2,015/61,714; p < 0.001, mortality: 0.9%; 579/61,714; p < 0.001). After adjustment for 12 LTC home covariates, the incidence of secondary infections in outbreaks identified late was 2.90-fold larger than that of outbreaks identified early (OR: 2.90; 95% CI: 2.04-4.13).ConclusionsThe timeliness of outbreak identification could be used to predict the trajectory of an outbreak, plan outbreak measures and retrospectively provide feedback for quality improvement, with the objective of reducing the impacts of respiratory infections in LTC home residents.

Drivers of COVID-19 Outcomes in Long-Term Care Facilities Using Multi-Level Analysis: A Systematic Review

This study aimed to identify the individual, organizational, and environmental factors which contributed to COVID-19-related outcomes in long-term care facilities (LTCFs). A systematic review was conducted to summarize and synthesize empirical studies using a multi-level analysis approach to address the identified influential factors. Five databases were searched on 23 May 2023. To be included in the review, studies had to be published in peer-reviewed journals or as grey literature containing relevant statistical data. The Joanna Briggs Institute critical appraisal tool was employed to assess the methodological quality of each article included in this study. Of 2137 citations identified after exclusions, 99 records met the inclusion criteria. The predominant individual, organizational, and environmental factors that were most frequently found associated with the COVID-19 outbreak comprised older age, higher dependency level; lower staffing levels and lower star and subset domain ratings for the facility; and occupancy metrics and co-occurrences of outbreaks in counties and communities where the LTCFs were located, respectively. The primary individual, organizational, and environmental factors frequently linked to COVID-19-related deaths comprised age, and male sex; higher percentages of racial and ethnic minorities in LTCFs, as well as ownership types (including private, for-profit, and chain membership); and higher occupancy metrics and LTCF's size and bed capacity, respectively. Unfolding the risk factors collectively may mitigate the risk of outbreaks and pandemic-related mortality in LTCFs during future endemic and pandemics through developing and improving interventions that address those significant factors.

Nursing Home Residents' COVID-19 Infections in the United States: A Systematic Review of Personal and Contextual Factors

Background: This mixed methods systemic review synthesizes the evidence about nursing home risks for COVID-19 infections. Methods: Four electronic databases (PubMed, Web of Science, Scopus, and Sage Journals Online) were searched between January 2020 and October 2022. Inclusion criteria were studies reported on nursing home COVID-19 infection risks by geography, demography, type of nursing home, staffing and resident's health, and COVID-19 vaccination status. The Mixed Methods Appraisal Tool (MMAT) was used to assess the levels of evidence for quality, and a narrative synthesis for reporting the findings by theme. Results: Of 579 initial articles, 48 were included in the review. Findings suggest that highly populated counties and urban locations had a higher likelihood of COVID-19 infections. Larger nursing homes with a low percentage of fully vaccinated residents also had increased risks for COVID-19 infections than smaller nursing homes. Residents with advanced age, of racial minority, and those with chronic illnesses were at higher risk for COVID-19 infections. Discussion and implications: Findings suggest that along with known risk factors for COVID-19 infections, geographic and resident demographics are also important preventive care considerations. Access to COVID-19 vaccinations for vulnerable residents should be a priority.

Exploratory study of risk factors related to SARS-CoV-2 prevalence in nursing homes in Flanders (Belgium) during the first wave of the COVID-19 pandemic

In a previous study in Belgian nursing homes (NH) during the first wave of the COVID-19 pandemic, we found a SARS-CoV-2 seroprevalence of 17% with a large variability (0-45%) between NH. The current exploratory study aimed to identify nursing home-specific risk factors for high SARS-CoV-2 seroprevalence. Between October 19th, 2020 and November 13th, 2020, during the second COVID-19 wave in Belgium, capillary blood was collected on dried blood spots from 60 residents and staff in each of the 20 participating NH in Flanders and Brussels. The presence of SARS-CoV-2-specific IgG antibodies was assessed by ELISA. Risk factors were evaluated using a questionnaire, filled in by the director or manager of the NH. Assessed risk factors comprised community-related factors, resident-related factors, management and performance features as well as building-related aspects. The relation between risk factors and seroprevalence was assessed by applying random forest modelling, generalized linear models and Bayesian linear regression. The present analyses showed that the prevalence of residents with dementia, the scarcity of personal protective equipment (surgical masks, FFP2 masks, glasses and face shields), and inadequate PCR test capacity were related to a higher seroprevalence. Generally, our study put forward that the various aspects of infection prevention in NH require more attention and investment. This exploratory study suggests that the ratio of residents with dementia, the availability of test capacity and personal protective equipment may have played a role in the SARS-CoV-2 seroprevalence of NH, after the first wave. It underscores the importance of the availability of PPE and education in infection prevention. Moreover, investments may also yield benefits in the prevention of other respiratory infections (such as influenza).

Factors impacting resident outcomes from COVID-19 outbreaks in Residential Aged Care Facilities in Sydney Local Health District: testing an infection prevention and control scoring system

BACKGROUND

COVID-19 outbreaks have disproportionately affected Residential Aged Care Facilities (RACFs) around the world, with devastating impacts for residents and their families. Many factors such as community prevalence, facility layout, and infection control practices have been linked to resident outcomes. At present, there are no scoring systems designed to quantify these factors and assess their level of association with resident attack rates and mortality rates.

METHODS

We constructed a novel Infection Prevention and Control (IPC) scoring system to quantify facility layout, ability to cohort residents, and IPC practices in RACFs. We conducted a retrospective observational cohort study of COVID-19 outbreaks, applying our IPC scoring system to all COVID-19 outbreaks occurring in RACFs in Sydney Local Health District during the Delta and Omicron waves of the COVID-19 pandemic in New South Wales, Australia.

RESULTS

Twenty-six COVID-19 outbreaks in 23 facilities in the Delta wave, and 84 outbreaks in 53 facilities in the Omicron wave were included in the study. A linear Generalised Estimating Equation model was fitted to the Omicron data. Higher IPC scores were associated with higher attack rates and mortality rates. Facilities with IPC scores greater than 75.0% had attack rates 19.6% higher [95% CI: 6.4%-32.8%] and mortality rates 1.7% higher [95% CI: 0.6%-2.7%] than facilities with an IPC score of less than 60.0%.

CONCLUSIONS

The results of this study suggest the utility of the IPC scoring system for identifying facilities at greater risk of adverse outcomes from COVID-19 outbreaks. While further validation and replication of accuracy is required, the IPC scoring system could be used and adapted to improve planning, policy, and resource allocation for future outbreaks.

Social Networks, New Technologies, and Wellbeing-An Interview Study on Factors Influencing Older Adults' Successful Ageing

Many factors are considered vital in supporting successful ageing and older adults' wellbeing. Whilst evidence exists around facilitating and hindering factors in the general use of various forms of institutional and family support and personal development-oriented education and/or new technologies, evidence is limited with regards to older people's motivations, expectations, and experiences surrounding ageing. Hence, in this study, the author used a qualitative explanatory method to interpret the factors influencing seniors' successful ageing. The author's focus was on how seniors experience ageing. The second issue was how they have been organizing life in old age. The third point concerned their expectations towards ageing now and in the future. Thirteen older adults (60+) were interviewed nationwide using a semi-structured scenario tool. Their objective was to give rich descriptions of their experiences of ageing. The interviews revealed the older adults' own experiences and enabled an understanding of their motivations, perceptions, moderators, and expectations around successful ageing. Based on the analysis of the qualitative data, the author developed three main themes, each with its own sub-themes: 1. Life satisfaction (transitioning to retirement, using coping strategies in adaptation to negative changes, reaching personal goals, leading a meaningful life); 2. Supportive environments (being independent but using temporary assistance from relatives and/or people close to oneself, living with family members (e.g., husband or wife, children, grandchildren), having access to health care system); 3. Social integration (social relations, social engagement, independence in using technological advancements). The main categories that emerged from the three themes were social networks, new technologies, and wellbeing. To analyze these issues, the author used a sociological approach. The theoretic explorations were embedded mainly in two methods: criticism of writing and the analytical and comparative one.

Long-Term Care and the COVID-19 Pandemic: Lessons Learned

US nursing homes and other long-term care (LTC) communities such as assisted living and adult day care services have been disproportionally affected by COVID-19. Nurses and health care workers provided care and services despite health concerns for themselves and family members. Nurses on the frontline were called to act with extraordinary tenacity, skill, flexibility, and creativity to prevent infection; prevent complications; and optimize function, health, and well-being. The purpose of this article is to provide an overview of the challenges posed by the COVID-19 pandemic and the strategies prioritized and implemented by nurse and interdisciplinary colleagues in LTC settings.

Learning from Nursing Home Infection Prevention and Control Citations During the COVID-19 Pandemic

The devastating effects of coronavirus disease 2019 (COVID-19) highlight the critical need for effective infection prevention and control (IPC) practices in nursing homes. Nursing management and infection preventionists should be cognizant of the most common reasons underlying federal IPC citations during the pandemic. Analysis of IPC citation data from the first 7 months of the public health emergency identified that adherence to personal protective equipment (PPE) and mask use, appropriate transmission-based precautions, and hand hygiene were the most common reasons for COVID-19-related F880 citations, including those that placed a person at immediate risk for serious injury or death. More specific staff practices and other factors leading to a citation are also highlighted. Although nursing homes may have limited control over factors such as PPE supply and staffing resources, nursing management and infection preventionists can use these results to help ensure that operational mechanisms, staff training, and adherence monitoring efforts effectively address the areas most associated with COVID-19 IPC noncompliance. [Journal of Gerontological Nursing, 49(2), 36-42.].

Missing science: A scoping study of COVID-19 epidemiological data in the United States

Systematic approaches to epidemiologic data collection are critical for informing pandemic responses, providing information for the targeting and timing of mitigations, for judging the efficacy and efficiency of alternative response strategies, and for conducting real-world impact assessments. Here, we report on a scoping study to assess the completeness of epidemiological data available for COVID-19 pandemic management in the United States, enumerating authoritative US government estimates of parameters of infectious transmission, infection severity, and disease burden and characterizing the extent and scope of US public health affiliated epidemiological investigations published through November 2021. While we found authoritative estimates for most expected transmission and disease severity parameters, some were lacking, and others had significant uncertainties. Moreover, most transmission parameters were not validated domestically or re-assessed over the course of the pandemic. Publicly available disease surveillance measures did grow appreciably in scope and resolution over time; however, their resolution with regards to specific populations and exposure settings remained limited. We identified 283 published epidemiological reports authored by investigators affiliated with U.S. governmental public health entities. Most reported on descriptive studies. Published analytic studies did not appear to fully respond to knowledge gaps or to provide systematic evidence to support, evaluate or tailor community mitigation strategies. The existence of epidemiological data gaps 18 months after the declaration of the COVID-19 pandemic underscores the need for more timely standardization of data collection practices and for anticipatory research priorities and protocols for emerging infectious disease epidemics.

Managing the Impact of COVID-19 in Nursing Homes and Long-Term Care Facilities: An Update

Older adults in nursing homes are at greatest risk of morbidity and mortality from SARS-CoV-2 infection. Nursing home residents constituted one-third to more than half of all deaths during the early waves of the COVID-19 pandemic. Following this, widespread adaptation of infection prevention and control measures and the supply and use of personal protective equipment resulted in a significant decrease in nursing home infections and deaths. For nursing homes, the most important determinant of experiencing a SARS-CoV-2 outbreak in the first instance appears to be community-transmission levels (particularly with variants of concern), although nursing home size and quality, for-profit status, and sociodemographic characteristics are also important. Use of visitation bans, imposed to reduce the impact of COVID-19 on residents, must be delicately balanced against their impact on resident, friend or family, and staff well-being. The successful rollout of primary vaccination has resulted in a sharp decrease in morbidity and mortality from SARS-CoV-2 in nursing homes. However, emerging evidence suggests that vaccine efficacy may wane over time, and the use of a third or additional vaccine "booster" doses in nursing home residents restores protection afforded by primary vaccination. Ongoing monitoring of vaccine efficacy in terms of infection, morbidity, and mortality is crucial in this vulnerable group in informing ongoing SARS-CoV-2 vaccine boosting strategies. Here, we detail the impact of SARS-CoV-2 on nursing home residents and discuss important considerations in the management of nursing home SARS-CoV-2 outbreaks. We additionally examine the use of testing strategies, nonpharmacologic outbreak control measures and vaccination strategies in this cohort. Finally, the impact of SARS-CoV-2 on the sector is reflected on as we emphasize the need for adoption of universal standards of medical care and integration with wider public health infrastructure in nursing homes in order to provide a safe and effective long-term care sector.

Characteristics of nursing homes and early preventive measures associated with risk of infection from COVID-19 in Lazio region, Italy: a retrospective case-control study

OBJECTIVES

To understand which organisational-structural characteristics of nursing homes-also referred to as long-term care facilities (LTCFs)-and the preventative measures adopted in response to the pandemic are associated with the risk of a COVID-19 outbreak.

SETTING

LTCFs in Lazio region in Italy.

DESIGN

The study adopts a case-control design.

PARTICIPANTS

We included 141 facilities and 100 provided information for the study. Cases were defined as facilities reporting a COVID-19 outbreak (two or more cases) in March-December 2020; controls were defined as LTCFs reporting one case or zero. The exposures include the structural-organisational characteristics of the LTCFs as reported by the facilities, preventative measures employed and relevant external factors.

RESULTS

Twenty facilities reported an outbreak of COVID-19. In binary logistic regression models, facilities with more than 15 beds were five times more likely to experience an outbreak than facilities with less than 15 beds OR=5.60 (CI 1.61 to 25.12; p value 0.002); admitting new residents to facilities was associated with a substantially higher risk of an outbreak: 6.46 (CI 1.58 to 27.58, p value 0.004). In a multivariable analysis, facility size was the only variable that was significantly associated with a COVID-19 outbreak OR= 5.37 (CI 1.58 to 22.8; p value 0.012) for larger facilities (>15 beds) versus smaller (<15 beds). Other characteristics and measures were not associated with an outbreak.

CONCLUSION

There was evidence of a higher risk of COVID-19 in larger facilities and when new patients were admitted during the pandemic. All other structural-organisational characteristics and preventative measures were not associated with an outbreak. This finding calls into question existing policies, especially where there is a risk of harm to residents. One such example is the restriction of visitor access to facilities, resulting in the social isolation of residents.

Caring and Working during the COVID-19 Pandemic: Perspective of Portuguese Residential Care Facility Workers

Residential care facilities (RCF) for older people are facing high demands due to the COVID-19 pandemic. The aim of this study was to explore the workers’ perspectives on the changes in work and care dynamics amidst the first wave of the pandemic at Portuguese RCF. This is a descriptive, quantitative, and cross-sectional study. An online questionnaire about pandemic-induced changes in work and care dynamics was sent to 2325 RCF. These entities were then asked to share it with their workers. The participants (n = 784) were mostly women (92.7%) and mostly composed of technical directors (41.6%) and direct-care workers (17.1%). The respondents reported that during the first wave of the pandemic, when compared to the pre-pandemic period, there were greater difficulties in providing care related to the basic necessities of older people (52.7%); direct-care workers were required to work more consecutive hours in each shift (69.95%); direct-care workers had to live at RCF (14.8%), and there were changes concerning the possibility of promoting person-centered care (PCC) practices. It also revealed that focusing on disease prevention and sanitary measures alone facilitates practices that reinforce the traditional model of procedure-centered care and have negative consequences on the rights and well-being of those living and working at RCF, exposing and accentuating preexisting vulnerabilities. This study considers the pandemic’s serious implications and alarming questions about basic care, dignity, living, and working conditions at Portuguese RCF. These notions reinforce the need for change through redefining care policies and practices in Portuguese RCF beyond the pandemic. The current situation provides an opportunity to adopt a formal PCC model.

Spread of COVID-19 Infection in Long-Term Care Facilities of Trieste (Italy) during the Pre-Vaccination Era, Integrating Findings of 41 Forensic Autopsies with Geriatric Comorbidity Index as a Valid Option for the Assessment of Strength of Causation

BACKGROUND

in 2020, a new form of coronavirus spread around the world starting from China. The older people were the population most affected by the virus worldwide, in particular in Italy where more than 90% of deaths were people over 65 years. In these people, the definition of the cause of death is tricky due to the presence of numerous comorbidities.

OBJECTIVE

to determine whether COVID-19 was the cause of death in a series of older adults residents of nursing care homes.

METHODS

41 autopsies were performed from May to June 2020. External examination, swabs, and macroscopic and microscopic examination were performed.

RESULTS

the case series consisted of nursing home guests; 15 men and 26 women, with a mean age of 87 years. The average number of comorbidities was 4. Based only on the autopsy results, the defined cause of death was acute respiratory failure due to diffuse alveolar damage (8%) or (31%) bronchopneumonia with one or more positive swabs for SARS-CoV-2. Acute cardiac failure with one or more positive swabs for SARS-CoV-2 was indicated as the cause of death in in symptomatic (37%) and asymptomatic (10%) patients. Few patients died for septic shock (three cases), malignant neoplastic diseases (two cases), and massive digestive bleeding (one case).

CONCLUSIONS

Data from post-mortem investigation were integrated with previously generated Geriatric Index of Comorbidity (GIC), resulting in four different degrees of probabilities: high (12%), intermediate (10%), low (59%), and none (19%), which define the level of strength of causation and the role of COVID-19 disease in determining death.

COVID-19 in Long-Term Care Facilities: A Rapid Review of Infection Correlates and Impacts on Mental Health and Behaviors

BACKGROUND

Long-term care facilities (LTCFs) with compact, group-living arrangements have become COVID-19 hot spots during the pandemic. Systematic research is needed to understand factors associated with COVID-19 infections in LTCFs and the inadvertent effects of preventive measures adopted by LTCFs.

OBJECTIVES

This rapid review identifies factors associated with LTCF residents' COVID-19 infections and the impacts of the pandemic and the corresponding preventive measures on residents' mental health and behavioral problems.

METHODS

Following the preferred reporting items for systematic reviews and meta-analyses guidelines, we identified and reviewed relevant literature in Medline, PsycINFO, and AgeLine.

RESULTS

Thirty-seven articles were identified and reviewed, including 30 reporting factors associated with COVID-19 infections in LTCFs and seven reporting the impact of the pandemic and corresponding prevention measures on LTCF residents. Results revealed four domains of factors associated with COVID-19 infections: facility physical environments, resident characteristics, facility management and testing, and community factors. The pandemic and infection control measures increased residents' depression, anxiety, loneliness, and behavioral problems (e.g., agitation, hallucinations). Residents without cognitive impairments were more vulnerable to these adverse effects.

CONCLUSION AND IMPLICATIONS

LTCF managers/policymakers and healthcare designers can help mitigate COVID-19 infections by (1) providing additional resources to vulnerable LTCFs; (2) enhancing the training of personal protective equipment use and guideline compliance; and (3) investing in amenities, such as sinks, quarantine rooms, and outdoor spaces. Digital activities and accessible green spaces can mitigate mental health and behavior issues. Future LTCF design can benefit from flexible spaces, natural ventilation, and reducing crowding.

Incidence, Mortality, and Risk Factors of COVID-19 in Nursing Homes

During the period from March 2020 to January 2021, we performed an analysis of incidence, mortality, and risk factors of COVID-19 in nursing homes (NHs) in two health departments (HDs) of Castellon (Spain) 2021 through epidemiological surveillance and an ecological design. Laboratory-confirmed COVID-19 cases, cumulative incidence rate (CIR), and mortality rate (MR) of 27 NHs were collected. Information of residents, staff, and facilities was obtained by questionnaire. Multilevel Poisson regression models were applied. All NHs in the HDs participated with 2229 residents (median: 83 years old, 67.3% women) and 1666 staff. Among residents, 815 cases (CIR: 34.8 per 100) and 202 deaths (MR: 8.7 per 100, case fatality 21.0%) were reported and, among staff, 296 cases (CIR: 19.2 per 100) without deaths. Residents' CIR and MR increased with staff CIR, age of the building, residents/staff ratios, occupancy rate, and crowding index; CIR increased with private NH ownership, large NH size, large urban area, and the percentage of women residents; and MR was associated with residents' severe disabilities. In conclusion, several risk factors of COVID-19 incidence and mortality can be prevented by improving infection and quality controls, ameliorating residents/staff ratios, improving structural facilities, and increasing NH public ownership to avoid new outbreaks.

Nursing home quality, COVID-19 deaths, and excess mortality

The COVID-19 pandemic in the US has been particularly devastating for nursing home residents. A key question is how have some nursing homes been able to effectively protect their residents, while others have not? Using data on the universe of US nursing homes, we examine whether establishment quality is predictive of COVID-19 mortality. Higher-quality nursing homes, as measured by CMS overall five-star rating, have substantially lower COVID-19 mortality through September of 2020. Quality does not predict the ability to prevent any COVID-19 resident or staff cases, but higher-quality establishments prevent the spread of resident infections conditional on having one. Preventing COVID-19 cases and deaths may come at some cost, as high-quality homes have substantially higher non-COVID deaths. The positive correlation between establishment quality and non-COVID mortality is strong enough that high-quality homes also have more total deaths than their low-quality counterparts and this relationship has grown with time. As of late April 2021, five-star homes have experienced 8.4 percent more total deaths than one-star homes.

[The SARS-CoV-2 Pandemic in Long-Term Care Facilities for the Elderly: Analysis of Data from Frankfurt am Main, Germany, March 2020 - September 2021]

BACKGROUND

Residents in long-term care facilities (LTCF) are particularly vulnerable during the SARS-CoV-2 pandemic. In the first wave of the pandemic in many countries, 30-70% of all deaths from or with SARS-CoV-2 were LTCF residents, although their proportion in the population is typically less than 1%. Findings from LTCFs in Frankfurt am Main (March 2020-September 2021) are presented below and discussed in terms of necessary improvements.

MATERIAL AND METHODS

The reports of positive PCR tests for SARS-CoV-2 in residents and staff of the LTCF in Frankfurt am Main and their symptoms were descriptively evaluated. In addition, the total deaths in nursing homes from 2018 to June 2021 were surveyed per quarter.

RESULTS

In the first pandemic wave (March-May 2020), 111 SARS-CoV-2-positive LTCF residents were reported to the Public Health Department in Frankfurt am Main, of whom 40% were asymptomatic, 48% were hospitalized, and 23% died. In the subsequent pandemic phases through September 30, 2021, additional 1196 residents infected with SARS-CoV-2 were reported, with most of them being asymptomatic (70%); they were hospitalized less frequently (27%). Mortality was also lower (17.6%). Overall mortality in LTCF was 7.6% higher in 2020 than in 2019 and 1.1% higher than in the "flu year" of 2018.

DISCUSSION

In contrast to the first wave, when only a few LTCF residents contracted COVID-19, in the second pandemic wave in autumn/winter 2020/21, with high incidences in the general population, SARS-CoV-2 outbreaks in LTCF in Frankfurt could not be prevented, despite extensive hygiene, infection prevention, and contact mitigation measures (including visitor restrictions) that massively limited residents' quality of life and their personal rights. Only when vaccination rates increased among residents and staff from April 2021 onwards, there were no massive outbreaks. To better protect LTCF residents, an appropriate balance was called for between protecting against infection and avoiding collateral damage by maintaining the freedom and quality of life of nursing home residents as best as possible.

COVID-19 Cases and Deaths in Skilled Nursing Facilities in Cook County, Illinois

OBJECTIVE

The COVID-19 pandemic has had a devastating impact on older adults residing in skilled nursing facilities. This study examined the pathways through which community and facility factors may have affected COVID-19 cases and deaths in skilled nursing facilities.

METHODS

We used structural equation modeling to examine the number of COVID-19 cases and deaths in skilled nursing facilities in Cook County, Illinois, from January 1 through September 30, 2020. We used data from the Centers for Medicare & Medicaid Services, the Illinois Department of Public Health, and the Cook County Medical Examiner's Office to determine the number of resident COVID-19 cases and deaths, number of staff cases, facility-level characteristics, and community-level factors.

RESULTS

Poorer facility quality ratings and higher numbers of staff COVID-19 cases were associated with increased numbers of resident COVID-19 cases and deaths. For-profit ownership was associated with larger facilities and higher resident-to-staff ratios, which increased the number of staff COVID-19 cases. Furthermore, skilled nursing facilities with a greater percentage of White residents were in areas with lower levels of social vulnerability and were less likely to be for-profit and, thus, were associated with higher quality.

CONCLUSIONS

For-profit ownership was associated with lower facility quality ratings and increases in the number of staff COVID-19 cases, leading to increased resident COVID-19 cases and deaths. Establishing enforceable regulations to ensure quality standards in for-profit skilled nursing facilities is critical to prevent future outbreaks and reduce health disparities in facilities serving racial and ethnic minority populations.

Nursing Home Design and COVID-19: Implications for Guidelines and Regulation

OBJECTIVES

Nursing homes (NHs) are important health care and residential environments for the growing number of frail older adults. The COVID-19 pandemic highlighted the vulnerability of NHs as they became COVID-19 hotspots. This study examines the associations of NH design with COVID-19 cases, deaths, and transmissibility and provides relevant design recommendations.

DESIGN

A cross-sectional, nationwide study was conducted after combining multiple national data sets about NHs.

SETTING AND PARTICIPANTS

A total of 7785 NHs were included in the study, which represent 50.8% of all Medicare and/or Medicaid NH providers in the United States.

METHODS

Zero-inflated negative binomial models were used to predict the total number of COVID-19 resident cases and deaths, separately. The basic reproduction number (R0) was calculated for each NH to reflect the transmissibility of COVID-19 among residents within the facility, and a linear regression model was estimated to predict log(R0 - 1). Predictors of these models included community factors and NHs' resident characteristics, management and rating factors, and physical environmental features.

RESULTS

Increased percentage of private rooms, larger living area per bed, and presence of a ventilator-dependent unit are significantly associated with reductions in COVID-19 cases, deaths, and transmissibility among residents. After setting the number of actual residents as the exposure variable and controlling for staff cases and other variables, increased number of certified beds in the NH is associated with reduced resident cases and deaths. It also correlates with reduced transmissibility among residents when other risk factors, including staff cases, are controlled.

CONCLUSIONS AND IMPLICATIONS

Architectural design attributes have significant impacts on COVID-19 transmissions in NHs. Considering the vulnerability of NH residents in congregated living environments, NHs will continue to be high-risk settings for infection outbreaks. To improve safety and resilience of NHs against future health disasters, facility guidelines and regulations should consider the need to increase private rooms and living areas.

A 2-year pandemic period analysis of facility and county-level characteristics of nursing home coronavirus deaths in the United States, January 1, 2020 – December 18, 2021

Nursing home residents are highly susceptible to COVID-19 infection and complications. We used a generalized linear mixed Poisson model and spatial statistics to examine the determinants of COVID-19 deaths in 13,350 nursing homes in the first 2-year pandemic period using the Centers for Medicare and Medicaid Services and county-level related data. The average prevalence of COVID-19 mortality among residents was 9.02 (Interquartile range = 10.18) per 100 nursing home beds in the first 2-year of the pandemic. Fully-adjusted mixed model shows that nursing homes COVID-19 deaths reduced by 5% (Q2 versus Q1: IRR = 0.949, 95% CI 0.901– 0.999), 14.4% (Q3 versus Q1: IRR = 0.815, 95% CI 0.718 – 0.926), and 25% (Q2 versus Q1: IRR = 0.751, 95% CI 0.701– 0.805) of facility ratings. Spatial analysis showed a significant hotspot of nursing home COVID-19 deaths in the Northeast US. This study contributes to nursing home quality assessment for improving residents' health.

The impact of coronavirus disease 2019 (COVID-19) on older adults with an intellectual disability during the first wave of the pandemic in Ireland

Background: People with intellectual disability have increased risk of exposure to and adverse outcomes from coronavirus disease 2019 (COVID-19).They also face challenges to mental health and well-being from COVID-19-related social restrictions and service closures. Methods: Data from a supplemental COVID-19 survey from the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) (n=710) was used to assess outcomes from the first infection wave of COVID-19 among adults with intellectual disability aged 40+ years in Ireland. Data was gathered on testing, for symptoms and outcomes; procedures to manage COVID-19; and both stress/anxiety and positive experiences during the pandemic. Demographic and health-related data from the main IDS-TILDA dataset was included in analyses. Results: High rates were identified of health conditions associated with poorer COVID-19 outcomes, including overweight/obesity (66.6%, n=365), high cholesterol (38.6%, n=274) and cardiovascular disease (33.7%, n=239). Over half (53.5%, n=380) reported emotional, nervous or psychiatric disorders. Almost two-thirds (62.4%, n=443) were tested for COVID-19, with 10% (n=71) reporting symptoms and 2.5% (n=11) testing positive. There were no instances of COVID-19 related mortality. Common symptoms included fatigue, fever, and cough. Some participants (7.8%, n=55) moved from their usual home, most often to isolate (n=31) or relocate to a family home (n=11). Three-quarters (78.7%) of those who were symptomatic or who tested positive had plans to manage self-isolation and two-thirds were able to comply with guidelines. Over half (55%, n=383) reported some COVID-19 related stress/anxiety; and a similar proportion reported positive aspects during this period (58%, n=381). Conclusions: Our data suggests that people with intellectual disability avoided the worst impacts of COVID-19 during the first infection wave in Ireland. Nevertheless, participants' health profiles suggest that this population remains at high risk for adverse infection outcomes. Repeated measures are needed to track health and well-being outcomes across multiple infection waves.

Role of Nursing Home Quality on COVID-19 Cases and Deaths: Evidence from Florida Nursing Homes

The Coronavirus disease 2019 (COVID-19) disproportionately affects nursing home residents, resulting in an elevated risk for COVID-19 morbidity and mortality for this frail population. It is critical to understand whether nursing home quality is related to COVID-19 cases and deaths. Using publicly available data obtained from Centers for Medicare & Medicaid Services COVID-19 Nursing Home Dataset, Nursing Home Compare and Long-Term Care Focus, this study compares key nursing home characteristics, infection prevention and control deficiencies, and five-star ratings among Florida nursing homes with and without resident COVID-19 cases and deaths. The study further examines the association between facility and resident characteristics, quality indicators, and COVID-19 cases and deaths. Findings from our study indicate that through late October 2020, over 90% of Florida nursing homes have at least one resident case and 65% have at least one resident death. The likelihood of having COVID-19 cases is more related to ownership status, facility size and average occupancy rate, rather than quality indicators. Associations between infection prevention and control deficiencies, overall quality ratings, and presence of COVID-19 resident deaths varied across different phases of the pandemic (e.g., overall five-star rating was found related to the odds of having resident deaths after, but not during, the surging stage). Training, uptake, and adherence to infection control procedures are needed to better protect the vulnerable nursing home resident population.

Factors associated with transmission of COVID-19 in long-term care facility outbreaks

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a disproportionate impact on residents in long-term care facilities (LTCFs).

Aim

To identify risk factors associated with outbreak severity to inform current outbreak management and future pandemic preparedness planning efforts.

Methods

A retrospective cohort study design was used to evaluate the association between non-modifiable factors (facility building, organization level, and resident population characteristics), modifiable factors (measured through an assessment tool for infection prevention and control (IPC) and pandemic preparedness), and severity of COVID-19 outbreaks (attack rate) in LTCFs.

Findings

From March 1^st, 2020 to January 10^th, 2021, a total of 145 exposures to at least one confirmed case of COVID-19 in 82 LTCFs occurred. Risk factors associated with increased outbreak severity were older facility age, a resident (vs staff) index case, and poorer assessment tool performance. Specifically, for every item not met in the assessment tool, a 22% increase in the adjusted rate ratio was observed (1.2; 95% confidence interval: 1.1–1.4) after controlling for other risk factors.

Conclusion

Scores from an assessment tool, older building age, and the index case being a resident were associated with severity of COVID-19 outbreaks in our jurisdiction. The findings reinforce the importance of regularly assessing IPC measures and outbreak preparedness in preventing large outbreaks. Regular, systematic assessments incorporating IPC and outbreak preparedness measures may help mitigate impacts of future outbreaks and inform future pandemic preparedness planning.

SARS-CoV-2 and Wisconsin Nursing Homes: Temporal Dynamics During the COVID-19 Pandemic

OBJECTIVES

Evidence suggests that quality, location, and staffing levels may be associated with COVID-19 incidence in nursing homes. However, it is unknown if these relationships remain constant over time. We describe incidence rates of COVID-19 across Wisconsin nursing homes while examining factors associated with their trajectory during 5 months of the pandemic.

DESIGN

Retrospective cohort study.

SETTING/PARTICIPANTS

Wisconsin nursing homes.

METHODS

Publicly available data from June 1, 2020, to October 31, 2020, were obtained. These included facility size, staffing, 5-star Medicare rating score, and components. Nursing home characteristics were compared using Pearson chi-square and Kruskal-Wallis tests. Multiple linear regressions were used to evaluate the effect of rurality on COVID-19.

RESULTS

There were a total of 2459 COVID-19 cases across 246 Wisconsin nursing homes. Number of beds (P < .001), average count of residents per day (P < .001), and governmental ownership (P = .014) were associated with a higher number of COVID-19 cases. Temporal analysis showed that the highest incidence rates of COVID-19 were observed in October 2020 (30.33 cases per 10,000 nursing home occupied-bed days, respectively). Urban nursing homes experienced higher incidence rates until September 2020; then incidence rates among rural nursing homes surged. In the first half of the study period, nursing homes with lower-quality scores (1-3 stars) had higher COVID-19 incidence rates. However, since August 2020, incidence was highest among nursing homes with higher-quality scores (4 or 5 stars). Multivariate analysis indicated that over time rural location was associated with increased incidence of COVID-19 (β = 0.05, P = .03).

CONCLUSIONS AND IMPLICATIONS

Higher COVID-19 incidence rates were first observed in large, urban nursing homes with low-quality rating. By October 2020, the disease had spread to rural and smaller nursing homes and those with higher-quality ratings, suggesting that community transmission of SARS-CoV-2 may have propelled its spread.

Lessons learned in preventing COVID-19 within a skilled nursing facility during the early pandemic

Objective

Guided by the vulnerable population framework, the aim was to describe the risks and protective strategies for COVID-19 spread and infections in a Skilled Nursing Facility (SNF).

Method

We conducted a retrospective cohort (March 1st–August 31st, 2020) study. Data were collected from internal COVID-19 documents and resident electronic health records. Data were summarized and analyzed using descriptive statistics, relative risk calculations, and cases charted by week onset.

Results

There were 325 residents who lived in and 296 staff who worked at the SNF during the study period. There was a total of 2 confirmed cases among residents and 4 confirmed cases among staff. Cases were isolated and all were living at their baseline health status at the end of the study.

Conclusion

Understanding the vulnerability to and protective strategies for COVID-19 within SNFs could strengthen resident care, resiliency among the SNF community, and improve health policies.

Risk factors for COVID-19 deaths among elderly nursing home Medicare beneficiaries in the pre-vaccine period

BACKGROUND

Evaluate pre-vaccine pandemic period COVID-19 death risk factors among nursing home (NH) residents.

METHODS

Retrospective cohort study covering Medicare fee-for-service beneficiaries ages ≥65 residing in U.S. NHs. We estimated adjusted hazard ratios (HRs) using multivariate Cox proportional hazards regressions.

RESULTS

Among 608,251 elderly NH residents, 57,398 (9.4%) died of COVID-related illness April 1 to December 22, 2020. About 46.9% (26,893) of these COVID-19 deaths occurred without prior COVID-19 hospitalizations. We observed a consistently increasing age trend for COVID-19 deaths. Racial/ethnic minorities generally shared a similarly high risk of NH COVID-19 deaths with Whites. NH facility characteristics including for-profit ownership and low health inspection ratings were associated with higher death risk. Resident characteristics, including male (HR 1.69), end-stage renal disease (HR 1.42), cognitive impairment (HR 1.34), and immunocompromised status (HR 1.20) were important death risk factors. Other individual-level characteristics were less predictive of death than they were in community-dwelling population.

CONCLUSIONS

Low NH health inspection ratings and private ownership contributed to COVID-19 death risks. Nearly half of NH COVID-19 deaths occurred without prior COVID-19 hospitalization and older residents were less likely to get hospitalized with COVID-19. No substantial differences were observed by race/ethnicity and socioeconomic status for NH COVID-19 deaths.

A systematic review of the associations between care home ownership and COVID-19 outbreaks, infections and mortality

Social care markets often rely on the for-profit sector to meet service demand. For-profit care homes have been reported to suffer higher rates of coronavirus disease 2019 (COVID-19) infections and deaths, but it is unclear whether these worse outcomes can be attributed to ownership status. To address this, we designed and prospectively registered a living systematic review protocol ( CRD42020218673 ). Here we report on the systematic review and quality appraisal of 32 studies across five countries that investigated ownership variation in COVID-19 outcomes among care homes. We show that, although for-profit ownership was not consistently associated with a higher risk of a COVID-19 outbreak, there was evidence that for-profit care homes had higher rates of COVID-19 infections and deaths. We also found evidence that for-profit ownership was associated with personal protective equipment (PPE) shortages. Variation in COVID-19 outcomes is not driven by ownership status alone, and factors related to staffing, provider size and resident characteristics were also linked to poorer outcomes. However, this synthesis finds that for-profit status and care home characteristics associated with for-profit status are linked to exacerbated COVID-19 outcomes.

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.

Protecting Nursing Homes and Long-Term Care Facilities From COVID-19: A Rapid Review of International Evidence

OBJECTIVES

The COVID-19 pandemic has highlighted the extreme vulnerability of older people and other individuals who reside in long-term care, creating an urgent need for evidence-based policy that can adequately protect these community members. This study aimed to provide synthesized evidence to support policy decision making.

DESIGN

Rapid narrative review investigating strategies that have prevented or mitigated SARS-CoV-2 transmission in long-term care.

SETTING AND PARTICIPANTS

Residents and staff in care settings such as nursing homes and long-term care facilities.

METHODS

PubMed/Medline, Cochrane Library, and Scopus were systematically searched, with studies describing potentially effective strategies included. Studies were excluded if they did not report empirical evidence (eg, commentaries and consensus guidelines). Study quality was appraised on the basis of study design; data were extracted from published reports and synthesized narratively using tabulated data extracts and summary tables.

RESULTS

Searches yielded 713 articles; 80 papers describing 77 studies were included. Most studies were observational, with no randomized controlled trials identified. Intervention studies provided strong support for widespread surveillance, early identification and response, and rigorous infection prevention and control measures. Symptom- or temperature-based screening and single point-prevalence testing were found to be ineffective, and serial universal testing of residents and staff was considered crucial. Attention to ventilation and environmental management, digital health applications, and acute sector support were also considered beneficial although evidence for effectiveness was lacking. In observational studies, staff represented substantial transmission risk and workforce management strategies were important components of pandemic response. Higher-performing facilities with less crowding and higher nurse staffing ratios had reduced transmission rates. Outbreak investigations suggested that facility-level leadership, intersectoral collaboration, and policy that facilitated access to critical resources were all significant enablers of success.

CONCLUSIONS AND IMPLICATIONS

High-quality evidence of effectiveness in protecting LTCFs from COVID-19 was limited at the time of this study, though it continues to emerge. Despite widespread COVID-19 vaccination programs in many countries, continuing prevention and mitigation measures may be required to protect vulnerable long-term care residents from COVID-19 and other infectious diseases. This rapid review summarizes current evidence regarding strategies that may be effective.

Non-pharmacological measures implemented in the setting of long-term care facilities to prevent SARS-CoV-2 infections and their consequences: a rapid review

BACKGROUND

Starting in late 2019, COVID-19, caused by the novel coronavirus SARS-CoV-2, spread around the world. Long-term care facilities are at particularly high risk of outbreaks, and the burden of morbidity and mortality is very high among residents living in these facilities.

OBJECTIVES

To assess the effects of non-pharmacological measures implemented in long-term care facilities to prevent or reduce the transmission of SARS-CoV-2 infection among residents, staff, and visitors.

SEARCH METHODS

On 22 January 2021, we searched the Cochrane COVID-19 Study Register, WHO COVID-19 Global literature on coronavirus disease, Web of Science, and CINAHL. We also conducted backward citation searches of existing reviews.

SELECTION CRITERIA

We considered experimental, quasi-experimental, observational and modelling studies that assessed the effects of the measures implemented in long-term care facilities to protect residents and staff against SARS-CoV-2 infection. Primary outcomes were infections, hospitalisations and deaths due to COVID-19, contaminations of and outbreaks in long-term care facilities, and adverse health effects.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles, abstracts and full texts. One review author performed data extractions, risk of bias assessments and quality appraisals, and at least one other author checked their accuracy. Risk of bias and quality assessments were conducted using the ROBINS-I tool for cohort and interrupted-time-series studies, the Joanna Briggs Institute (JBI) checklist for case-control studies, and a bespoke tool for modelling studies. We synthesised findings narratively, focusing on the direction of effect. One review author assessed certainty of evidence with GRADE, with the author team critically discussing the ratings.

MAIN RESULTS

We included 11 observational studies and 11 modelling studies in the analysis. All studies were conducted in high-income countries. Most studies compared outcomes in long-term care facilities that implemented the measures with predicted or observed control scenarios without the measure (but often with baseline infection control measures also in place). Several modelling studies assessed additional comparator scenarios, such as comparing higher with lower rates of testing. There were serious concerns regarding risk of bias in almost all observational studies and major or critical concerns regarding the quality of many modelling studies. Most observational studies did not adequately control for confounding. Many modelling studies used inappropriate assumptions about the structure and input parameters of the models, and failed to adequately assess uncertainty. Overall, we identified five intervention domains, each including a number of specific measures. Entry regulation measures (4 observational studies; 4 modelling studies) Self-confinement of staff with residents may reduce the number of infections, probability of facility contamination, and number of deaths. Quarantine for new admissions may reduce the number of infections. Testing of new admissions and intensified testing of residents and of staff after holidays may reduce the number of infections, but the evidence is very uncertain. The evidence is very uncertain regarding whether restricting admissions of new residents reduces the number of infections, but the measure may reduce the probability of facility contamination. Visiting restrictions may reduce the number of infections and deaths. Furthermore, it may increase the probability of facility contamination, but the evidence is very uncertain. It is very uncertain how visiting restrictions may adversely affect the mental health of residents. Contact-regulating and transmission-reducing measures (6 observational studies; 2 modelling studies) Barrier nursing may increase the number of infections and the probability of outbreaks, but the evidence is very uncertain. Multicomponent cleaning and environmental hygiene measures may reduce the number of infections, but the evidence is very uncertain. It is unclear how contact reduction measures affect the probability of outbreaks. These measures may reduce the number of infections, but the evidence is very uncertain. Personal hygiene measures may reduce the probability of outbreaks, but the evidence is very uncertain.  Mask and personal protective equipment usage may reduce the number of infections, the probability of outbreaks, and the number of deaths, but the evidence is very uncertain. Cohorting residents and staff may reduce the number of infections, although evidence is very uncertain. Multicomponent contact -regulating and transmission -reducing measures may reduce the probability of outbreaks, but the evidence is very uncertain. Surveillance measures (2 observational studies; 6 modelling studies) Routine testing of residents and staff independent of symptoms may reduce the number of infections. It may reduce the probability of outbreaks, but the evidence is very uncertain. Evidence from one observational study suggests that the measure may reduce, while the evidence from one modelling study suggests that it probably reduces hospitalisations. The measure may reduce the number of deaths among residents, but the evidence on deaths among staff is unclear.  Symptom-based surveillance testing may reduce the number of infections and the probability of outbreaks, but the evidence is very uncertain. Outbreak control measures (4 observational studies; 3 modelling studies) Separating infected and non-infected residents or staff caring for them may reduce the number of infections. The measure may reduce the probability of outbreaks and may reduce the number of deaths, but the evidence for the latter is very uncertain. Isolation of cases may reduce the number of infections and the probability of outbreaks, but the evidence is very uncertain. Multicomponent measures (2 observational studies; 1 modelling study) A combination of multiple infection-control measures, including various combinations of the above categories, may reduce the number of infections and may reduce the number of deaths, but the evidence for the latter is very uncertain.

AUTHORS' CONCLUSIONS

This review provides a comprehensive framework and synthesis of a range of non-pharmacological measures implemented in long-term care facilities. These may prevent SARS-CoV-2 infections and their consequences. However, the certainty of evidence is predominantly low to very low, due to the limited availability of evidence and the design and quality of available studies. Therefore, true effects may be substantially different from those reported here. Overall, more studies producing stronger evidence on the effects of non-pharmacological measures are needed, especially in low- and middle-income countries and on possible unintended consequences of these measures. Future research should explore the reasons behind the paucity of evidence to guide pandemic research priority setting in the future.

The impact of coronavirus disease 2019 (COVID-19) on older adults with an intellectual disability during the first wave of the pandemic in Ireland

Background: People with intellectual disability have increased risk of exposure to and adverse outcomes from coronavirus disease 2019 (COVID-19).They also face challenges to mental health and well-being from COVID-19-related social restrictions and service closures. Methods: Data from a supplemental COVID-19 survey from the Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) (n=710) was used to assess outcomes from the first infection wave of COVID-19 among adults with intellectual disability aged 40+ years in Ireland. Data was gathered on testing, for symptoms and outcomes; procedures to manage COVID-19; and both stress/anxiety and positive experiences during the pandemic. Demographic and health-related data from the main IDS-TILDA dataset was included in analyses. Results: High rates were identified of health conditions associated with poorer COVID-19 outcomes, including overweight/obesity (66.6%, n=365), high cholesterol (38.6%, n=274) and cardiovascular disease (33.7%, n=239). Over half (53.5%, n=380) reported emotional, nervous or psychiatric disorders. Almost two-thirds (62.4%, n=443) were tested for COVID-19, with 10% (n=71) reporting symptoms and 2.5% (n=11) testing positive. There were no instances of COVID-19 related mortality. Common symptoms included fatigue, fever, and cough. Some participants (7.8%, n=55) moved from their usual home to isolate, most often (n=31) or relocate to a family home (n=11). Three-quarters (78.7%) of those who were symptomatic or who tested positive had plans to manage self-isolation and two-thirds were able to comply with guidelines. Over half (55%, n=383) reported some COVID-19 related stress/anxiety; and a similar proportion reported positive aspects during this period (58%, n=381). Conclusions: Our data suggests that people with intellectual disability avoided the worst impacts of COVID-19 during the first infection wave in Ireland. Nevertheless, participants' health profiles suggest that this population remains at high risk for adverse infection outcomes. Repeated measures are needed to track health and well-being outcomes across multiple infection waves.

Risk Factors Associated with Nursing Home COVID-19 Outbreaks: A Retrospective Cohort Study

Background: The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on nursing homes/long-term care facilities. This study examined the relationship between geography, size, design, organizational characteristics, and implementation of infection prevention and control (IPC) measures and the extent of COVID-19 outbreaks in nursing homes in the Autonomous Province of Trento (Italy) during the time frame of March-May 2020. Methods: The analysis included 57 nursing homes (5145 beds). The association between median cumulative incidence of COVID-19 cases among residents and characteristics of nursing homes was assessed by Mann–Whitney U test, Kruskal–Wallis test or Spearman rho. To evaluate the potential confounding of geographical area, a 2-level random intercept logistic model was fitted, with level 1 units (patients in nursing homes) nested into level 2 units (nursing homes), and “being a COVID-19 case” as the dependent variable. Results: Median cumulative incidence was not significantly associated with any of the variables, except for geographical region (p = 0.002). COVID-19 cases clustered in the part of the province bordering the Italian region most affected by the pandemic (Lombardy) (45.2% median cumulative incidence). Conclusions: Structural/organizational factors and standard IPC measures may not predict the epidemiology of COVID-19 outbreaks and be sufficient alone to protect nursing homes against them.

COVID-19 Cases and Death in Nursing Homes: The Role of Racial and Ethnic Composition of Facilities and Their Communities

OBJECTIVES

To examine the extent to which the racial and ethnic composition of nursing homes (NHs) and their communities affects the likelihood of COVID-19 cases and death in NHs, and whether and how the relationship between NH characteristics and COVID-19 cases and death varies with the racial and ethnic composition of the community in which an NH is located.

METHODS AND DESIGN

Centers for Medicare & Medicare Services Nursing Home COVID-19 data were linked with other NH- or community-level data (eg, Certification and Survey Provider Enhanced Reporting, Minimum Data Set, Nursing Home Compare, and the American Community Survey).

SETTING AND PARTICIPANTS

NHs with more than 30 occupied beds (N=13,123) with weekly reported NH COVID-19 records between the weeks of June 7, 2020, and August 23, 2020. Measurements and model: Weekly indicators of any new COVID-19 cases and any new deaths (outcome variables) were regressed on the percentage of black and Hispanic residents in an NH, stratified by the percentage of blacks and Hispanics in the community in which the NH was located. A set of linear probability models with NH random effects and robust standard errors were estimated, accounting for other covariates.

RESULTS

The racial and ethnic composition of NHs and their communities were both associated with the likelihood of having COVID-19 cases and death in NHs. The racial and ethnic composition of the community played an independent role in the likelihood of COVID-19 cases and death in NHs, even after accounting for the COVID-19 infection rate in the community (ie, daily cases per 1000 people in the county). Moreover, the racial and ethnic composition of a community modified the relationship between NH characteristics (eg, staffing) and the likelihoods of COVID-19 cases and death.

CONCLUSIONS AND IMPLICATIONS

To curb the COVID-19 outbreaks in NHs and protect vulnerable populations, efforts may be especially needed in communities with a higher concentration of racial and ethnic minorities. Efforts may also be needed to reduce structural racism and address social risk factors to improve quality of care and population health in communities of color.

Nursing homes during the COVID-19 pandemic: a scoping review of challenges and responses

Aim

To describe factors that contributed to the spread and mortality of COVID-19 in nursing homes and provide an overview of responses that were implemented.

Findings

COVID-19 exerted severe challenges on the nursing home population and its staff. Both internal and external factors predisposed nursing homes to an increased propensity of spread.

Message

Substantial learning occurred that will lead to better pandemic preparedness and improve quality of care for nursing home residents at all times.

Introduction

COVID-19 has caused unprecedented challenges in nursing homes. In this scoping review, we aimed to describe factors that contributed to the spread and mortality of COVID-19 in nursing homes and provide an overview of responses that were implemented to try to overcome such challenges.

Methods

The MeSH terms “Nursing homes” and “COVID-19” were searched in MEDLINE Ovid, and English language articles were retrieved that were published between 1 March 2020 and 31 January 2021. Article titles and abstracts were screened by two reviewers, and the results of included articles were grouped by themes.

Results

The search retrieved 348 articles, of which 76 were included in the thematic review. 8 articles related to COVID-19 disease characteristics (e.g. asymptomatic transmission), 24 to resident-related factors (e.g. comorbidities, nutrition, cognition), 13 to facility characteristics (e.g. physical space, occupancy, for-profit status), 21 to staffing (e.g. staffing levels, staff-to-resident ratio, staff multi-employment), and 10 to external factors (e.g. availability of personal protective equipment, prevailing health and social care policies). In terms of responses, identified themes included widespread testing, isolation and cohorting of residents, staff protection and support, promotion of residents’ well-being, and technological innovations.

Conclusion

COVID-19 exerted severe challenges on the nursing home population and its staff. Both internal and external factors predisposed nursing homes to an increased propensity of spread. Numerous strategies were employed to attempt to mitigate the negative impacts. Substantial learning occurred that may not only aid future pandemic preparedness but improve quality of care for nursing home residents at all times.

The association of nursing home quality ratings and spread of COVID-19

Objectives

The coronavirus disease 2019 (COVID‐19) pandemic has severely affected nursing home residents. Given the continued high incidence of COVID‐19, and the likelihood that new variants and other infectious agents may cause future outbreaks, we sought to understand the relationship of nursing home quality ratings and measures of COVID‐19 outbreak severity and persistence.

Design

We analyzed nursing home facility‐level data on COVID‐19 cases and deaths, county‐level COVID‐19 rates, and nursing home data from the Centers for Medicare & Medicaid Services (CMS), including ratings from the CMS Nursing Home Five‐Star Quality Rating System. We used regression analysis to examine the association between star ratings and cumulative COVID‐19 incidence and mortality as well as persistent high resident incidence.

Setting

All nursing homes in the CMS COVID‐19 Nursing Home Dataset reporting data that passed quality assurance checks for at least 20 weeks and that were included in the January 2021 Nursing Home Care Compare update.

Participants

Residents of the included nursing homes.

Measurements

Cumulative resident COVID‐19 incidence and mortality through January 10, 2021; number of weeks with weekly resident incidence of COVID‐19 in the top decile nationally.

Results

As of January 10, 2021, nearly all nursing homes (93.6%) had reported at least one case of COVID‐19 among their residents, more than three‐quarters (76.9%) had reported at least one resident death, and most (83.5%) had experienced at least 1 week in the top decile of weekly incidence. In analyses adjusted for facility and county‐level characteristics, we found generally consistent relationships between higher nursing home quality ratings and lower COVID‐19 incidence and mortality, as well as with fewer high‐incidence weeks.

Conclusion

Nursing home quality ratings are associated with COVID‐19 incidence, mortality, and persistence. Nursing homes receiving five‐star ratings, for overall quality as well as for each domain, had lower COVID‐19 rates among their residents.

Admissions of COVID-positive patients to US nursing homes with personal protective equipment or staffing shortages

Background

US nursing homes are required to follow Centers for Disease Control guidance for COVID‐19 transmission‐based precautions (TBP) when admitting COVID‐positive patients.

Objective

To assess how frequently nursing homes had shortages of personal protective equipment (PPE) or staffing in weeks when they admitted COVID‐positive patients, which likely made it more difficult to follow TBP, and to compare facility characteristics by admissions practices.

Design and Setting

Facility‐level data from the Nursing Home COVID‐19 Public File for the period between June 7, 2020 and March 7, 2021 was combined with additional data. The percentages of nursing homes that admitted COVID‐positive patients and that had shortages when admitting were calculated for each week. Descriptive statistics and logistic regression models were used to examine the relationship between facility characteristics and the likelihood of admitting COVID‐positive patients.

Measurements

Facilities were categorized as having admitted COVID‐positive patients in a week if one or more admissions requiring TBP were reported for that week. Facilities that reported having less than a 1‐week supply of any type of PPE or being short any type of staff in a week were defined, respectively, as having a PPE shortage or staffing shortage in that week.

Results

Over the 40‐week study period, 39% of US nursing homes admitted COVID‐positive patients in at least 1 week in which they were experiencing PPE or staffing shortages. Facilities that admitted COVID‐positive patients with shortages generally had lower Centers for Medicare and Medicaid Services overall five‐star ratings than other facilities. Only a small percentage of facilities that admitted COVID‐positive patients while facing shortages were located in counties with severe shortages of PPE or staffing. In logistic regression models, shortages were not associated with COVID‐positive admissions.

Conclusion

The widespread practice of admitting COVID‐positive patients while facing shortages may have put nursing home residents and staff at heightened risk of COVID‐19 infection.

Aging and COVID-19 in Minority Populations: a Perfect Storm

PURPOSE OF REVIEW

COVID-19 is a major concern for the health and wellbeing of individuals worldwide. As COVID-19 cases and deaths continue to increase in the USA, aging Black and Hispanic populations have emerged as especially at-risk for increased exposure to COVID-19 and susceptibility to severe health outcomes. The current review discusses the weathering hypothesis and the influence of social inequality on the identified health disparities.

RECENT FINDINGS

Aging minoritized populations have endured structural and social inequality over the lifecourse. Consequently, these populations experience weathering, a process that results in physiological dysregulation due to stress associated with persistent disadvantage. Through weathering and continued inequity, aging minoritized populations have an increased risk of exposure and poor health outcomes from COVID-19.

SUMMARY

Current literature and available data suggests that aging minoritized persons experience high rates of COVID-19 morbidity and mortality. The current review hypothesizes and supports that observed disparities are the result of inequalities that especially affect Black and Hispanic populations over the lifecourse. Future efforts to address these disparities should emphasize research that supports governments in identifying at-risk groups, providing accessible COVID-19-related information to those groups, and implementing policy that addresses the structural and social inequities that perpetuate current COVID-19 disparities.

Heterogeneity in COVID-19 patient volume, characteristics and outcomes across US Department of Veterans Affairs facilities: an observational cohort study

OBJECTIVE

Studies describe COVID-19 patient characteristics and outcomes across populations, but reports of variation across healthcare facilities are lacking. The objectives were to examine differences in COVID-19 patient volume and mortality across facilities, and understand whether facility variation in mortality was due primarily to differences in patient versus facility characteristics.

DESIGN

Observational cohort study with multilevel mixed effects logistic regression modelling.

SETTING

The Veterans Health Administration (VA) is the largest healthcare system in the USA.

PARTICIPANTS

Patients with COVID-19.

MAIN OUTCOME

All-cause mortality within 45 days after COVID-19 testing (March-May, follow-up through 16 July 2020).

RESULTS

Among 13 510 patients with COVID-19, 3942 (29.2%) were admitted (2266/3942 (57.5%) ward; 1676/3942 (42.5%) intensive care unit (ICU)) and 679/3942 (17.2%) received mechanical ventilation. Marked heterogeneity was observed across facilities in median age (range: 34.3-83.9 years; facility mean: 64.7, SD 7.2 years); patient volume (range: 1-737 at 160 facilities; facility median: 48.5, IQR 14-105.5); hospital admissions (range: 1-286 at 133 facilities; facility median: 11, IQR 1-26.5); ICU caseload (range: 1-85 at 115 facilities; facility median: 4, IQR 0-12); and mechanical ventilation (range: 1-53 at 90 facilities; facility median: 1, IQR 0-5). Heterogeneity was also observed in facility mortality for all patients with COVID-19 (range: 0%-29.7%; facility median: 8.9%, IQR 2.4%-13.7%); inpatients (range: 0%-100%; facility median: 18.0%, IQR 5.6%-28.6%); ICU patients (range: 0%-100%; facility median: 28.6%, IQR 14.3%-50.0%); and mechanical ventilator patients (range: 0%-100%; facility median: 52.7%, IQR 33.3%-80.6%). The majority of variation in facility mortality was attributable to differences in patient characteristics (eg, age).

CONCLUSIONS

Marked heterogeneity in COVID-19 patient volume, characteristics and mortality were observed across VA facilities nationwide. Differences in patient characteristics accounted for the majority of explained variation in mortality across sites. Variation in unadjusted COVID-19 mortality across facilities or nations should be considered with caution.

COVID-19 epidemiology in Canada from January to December 2020: the pre-vaccine era

This paper summarizes COVID-19 disease epidemiology in Canada in the pre-vaccine era—from January through to December 2020. Canadian case numbers, risk factors, disease presentations (including severe and critical disease), and outcomes are described. Differences between provinces and territories in geography, population size and density, health demographics, and pandemic impact are highlighted. Key concepts in public health response and mitigation are reviewed, including masking, physical distancing, hand washing, and the promotion of outdoor interactions. Adequate investment in public health infrastructure is stressed, and regional differences in screening and testing strategies are highlighted. The spread of COVID-19 in Canadian workplaces, long-term care homes, and schools is described and lessons learned emphasized. The impact of COVID-19 on vulnerable populations in Canada—including Indigenous Peoples, ethnic minorities and newcomers, people who use drugs, people who are homeless, people who are incarcerated, and people with disabilities—is described. Sex and gender disparities are also highlighted. Author recommendations include strategies to reduce transmission (such as test–trace–isolate), the establishment of nationally standardized definitions and public reporting, the protection of high risk and vulnerable populations, and the development of a national strategy on vaccine allocation.

Short-Stay Admissions Associated With Large COVID-19 Outbreaks in Maryland Nursing Homes

At the beginning of the COVID-19 pandemic, some nursing homes (NHs) in Maryland suffered larger outbreaks than others. This study examined how facility characteristics influenced outbreak size. We conducted a retrospective analysis of secondary data from Maryland NHs to identify characteristics associated with large outbreaks, defined as when total resident cases exceeded 10% of licensed beds, from January 1, 2020, through July 1, 2020. Our dataset was unique in its inclusion of short-stay residents as a measure of resident type and family satisfaction as a measure of quality. Facility characteristics were collected prior to 2020. Like other studies, we found that large outbreaks were more likely to occur in counties with high cumulative incidence of COVID-19, and in NHs with more licensed beds or fewer daily certified nursing assistant (CNA) hours. We also found that NHs with a greater proportion of short-stay residents were more likely to have large outbreaks, even after adjustment for other facility characteristics. Lower family satisfaction was not significantly associated with large outbreaks after adjusting for CNA hours. Understanding the characteristics of NHs with large COVID-19 outbreaks can guide facility re-structuring to prevent the spread of respiratory infections in future pandemics.

Clinical Presentation, Course, and Risk Factors Associated with Mortality in a Severe Outbreak of COVID-19 in Rhode Island, USA, April-June 2020

Long-term care facilities (LTCFs) have had a disproportionally high mortality rate due to COVID-19. We describe a rapidly escalating COVID-19 outbreak among 116 LTCF residents in Rhode Island, USA. Overall, 111 (95.6%) residents tested positive and, of these, 48 (43.2%) died. The most common comorbidities were hypertension (84.7%) and cardiovascular disease (84.7%). A small percentage (9%) of residents were asymptomatic, while 33.3% of residents were pre-symptomatic, with progression to symptoms within a median of three days following the positive test. While typical symptoms of fever (80.2%) and cough (43.2%) were prevalent, shortness of breath (14.4%) was rarely found despite common hypoxemia (95.5%). The majority of patients demonstrated atypical symptoms with the most common being loss of appetite (61.3%), lethargy (42.3%), diarrhea (37.8%), and fatigue (32.4%). Many residents had increased agitation (38.7%) and anxiety (5.4%), potentially due to the restriction measures or the underlying mental illness. The fever curve was characterized by an intermittent low-grade fever, often the first presenting symptom. Mortality was associated with a disease course beginning with a loss of appetite and lethargy, as well as one more often involving fever greater than 38 °C, loss of appetite, altered mental status, diarrhea, and respiratory distress. Interestingly, no differences in age or comorbidities were noted between survivors and non-survivors. Taking demographic factors into account, treatment with anticoagulation was still associated with reduced mortality (adjusted OR 0.16; 95% C.I. 0.06–0.39; p < 0.001). Overall, the clinical features of the disease in this population can be subtle and the symptoms are commonly atypical. However, clinical decline among those who did not survive was often rapid with patients expiring within 10 days from disease detection. Further studies are needed to better explain the variability in clinical course of COVID-19 among LTCF residents, specifically the factors affecting mortality, the differences observed in symptom presentation, and rate of clinical decline.