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

ObjectivesNursing 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.DesignA cross-sectional, nationwide study was conducted after combining multiple national data sets about NHs.Setting and ParticipantsA 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.MethodsZero-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.ResultsIncreased 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 ImplicationsArchitectural 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 Longitudinal,Clinical, and Spatial Epidemiologic Analysis of a Large COVID-19 Long-Term Care Home Outbreak

ObjectivesCOVID-19 has had devastating effects on long-term care homes across much of the world, and especially within Canada, with more than 50% of the mortality from COVID-19 in 2020 in these homes. Understanding the way in which the virus spreads within these homes is critical to preventing further outbreaks.DesignRetrospective chart review.Settings and ParticipantsLong-term care home residents and staff in Ontario, Canada.MethodsWe conducted a longitudinal study of a large long-term care home COVID-19 outbreak in Ontario, Canada, using electronic medical records, public health records, staff assignments, and resident room locations to spatially map the outbreak through the facility.ResultsBy analyzing the outbreak longitudinally, we were able to draw 3 important conclusions: (1) 84.5% had typical COVID-19 symptoms and only 15.5% of residents had asymptomatic infection; (2) there was a high attack rate of 85.8%, which appeared to be explained by a high degree of interconnectedness within the home exacerbated by staffing shortages; and (3) clustering of infections within multibedded rooms was common.Conclusion and ImplicationsLow rates of asymptomatic infection suggest that symptom-based screening in residents remains very important for detecting outbreaks, a high degree of interconnectedness explains the high attack rate, and there is a need for improved guidance for homes with multibedded rooms on optimizing resident room movement to mitigate spread of COVID-19 in long-term care homes.     

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.     

Mortality of Care Home Residents and Community-Dwelling Controls During the COVID-19 Pandemic in 2020: Matched Cohort Study

ObjectiveThis study aimed to estimate and compare mortality of care home residents, and matched community-dwelling controls, during the COVID-19 pandemic from primary care electronic health records in England.DesignMatched cohort study.Setting and ParticipantsFamily practices in England in the Clinical Practice Research Datalink Aurum database. There were 83,627 care home residents in 2020, with 26,923 deaths; 80,730 (97%) were matched on age, sex, and family practice with 300,445 community-dwelling adults.MethodsAll-cause mortality was evaluated and adjusted rate ratios by negative binomial regression were adjusted for age, sex, number of long-term conditions, frailty category, region, calendar month or week, and clustering by family practice.ResultsUnderlying mortality of care home residents was higher than community controls (adjusted rate ratio 5.59, 95% confidence interval 5.23?5.99, P < .001). During April 2020, there was a net increase in mortality of care home residents over that of controls. The mortality rate of care home residents was 27.2 deaths per 1000 patients per week, compared with 2.31 per 1000 for controls. Excess deaths for care home residents, above that predicted from pre-pandemic years, peaked between April 13 and 19 (men, 27.7, 95% confidence interval 25.1?30.3; women, 17.4, 15.9?18.8 per 1000 per week). Compared with care home residents, long-term conditions and frailty were differentially associated with greater mortality in community-dwelling controls.Conclusions and ImplicationsIndividual-patient data from primary care electronic health records may be used to estimate mortality in care home residents. Mortality is substantially higher than for community-dwelling comparators and showed a disproportionate increase in the first wave of the COVID-19 pandemic. Care home residents require particular protection during periods of high infectious disease transmission.     

Neither Race nor Ethnicity Impact the Mortality of Residents of Veterans Affairs Community Living Center With COVID-19

ObjectivesCOVID-19 disproportionately affected nursing home residents and people from racial and ethnic minorities in the United States. Nursing homes in the Veterans Affairs (VA) system, termed Community Living Centers (CLCs), belong to a national managed care system. In the period prior to the availability of vaccines, we examined whether residents from racial and ethnic minorities experienced disparities in COVID-19 related mortality.DesignRetrospective cohort study.Setting and ParticipantsResidents at 134 VA CLCs from April 14 to December 10, 2020.MethodsWe used the VA Corporate Data Warehouse to identify VA CLC residents with a positive SARS-CoV-2 polymerase chain reaction test during or 2 days prior to their admission and without a prior case of COVID-19. We assessed age, self-reported race/ethnicity, frailty, chronic medical conditions, Charlson comorbidity index, the annual quarter of the infection, and all-cause 30-day mortality. We estimated odds ratios and 95% confidence intervals of all-cause 30-day mortality using a mixed-effects multivariable logistic regression model.ResultsDuring the study period, 1133 CLC residents had an index positive SARS-CoV-2 test. Mortality at 30 days was 23% for White non-Hispanic residents, 15% for Black non-Hispanic residents, 10% for Hispanic residents, and 16% for other residents. Factors associated with increased 30-day mortality were age ≥70 years, Charlson comorbidity index ≥6, and a positive SARS-CoV-2 test between April 14 and June 30, 2020. Frailty, Black race, and Hispanic ethnicity were not independently associated with an increased risk of 30-day mortality.Conclusions and ImplicationsAmong a national cohort of VA CLC residents with COVID-19, neither Black race nor Hispanic ethnicity had a negative impact on survival. Further research is needed to determine factors within the VA health care system that mitigate the influence of systemic racism on COVID-19 outcomes in US nursing homes.     

Excess Mortality Among Assisted Living Residents With Dementia During the COVID-19 Pandemic

ObjectiveTo evaluate whether assisted living (AL) residents with Alzheimer’s disease and related dementias (ADRD) experienced a greater rate of excess all-cause mortality during the first several months of the COVID-19 pandemic compared to residents without ADRD, and to compare excess all-cause mortality rates in memory care vs general AL among residents with ADRD.DesignRetrospective cohort study.Setting and ParticipantsTwo cohorts of AL residents enrolled in Medicare Fee-For-Service who resided in 9-digit ZIP codes corresponding to US AL communities of ≥25 beds during calendar year 2019 or 2020.MethodBy linking Medicare claims and Vital Statistics data, we examined the weekly excess all-cause mortality rate, comparing the rate from March 12, 2020, to December 31, 2020, to the rate from January 1, 2019, to March 11, 2020. We adjusted for demographics, chronic conditions, AL community size, and county fixed effects.ResultsOf the 286,350 residents in 2019 and the 273,601 in 2020 identified in these cohorts, approximately 31% had a diagnosis of ADRD. Among all AL residents, the excess weekly mortality rate in 2020 was 49.1 per 100,000 overall during the pandemic. Compared to residents without ADRD, residents with ADRD experienced 33.4 more excess deaths per 100,000 during the pandemic. Among residents with ADRD, those who resided in memory care communities did not experience a statistically significant different mortality rate than residents who lived in general AL.Conclusions and ImplicationsAL residents with ADRD were more vulnerable to mortality during COVID-19 than residents without ADRD, a finding similar to those reported in other settings such as nursing homes. Additionally, the study provides important new information that residents with ADRD in memory care communities may not have been at differential risk of COVID-19 mortality when compared to residents with ADRD in general AL, despite prior research suggesting they have more advanced dementia.     

Reducing the Risk of Hospitalization for Nursing Home Residents: Effects and Facility Variation From OPTIMISTIC

ObjectivesThe Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project led to significant decreases in potentially avoidable hospitalizations of long-stay nursing facility residents in external evaluation. The purpose of this study was to quantify hospitalization risk from the start of the project and describe the heterogeneity of the enrolled facilities in order to better understand the context for successful implementation.DesignPre-post analysis design of a prospective intervention within a single group.Setting and ParticipantsA total of 4320 residents in the 19 facilities were included from admission until time to the first hospitalization.MeasuresData were extracted from Minimum Data Set assessments and linked with facility-level covariates from the LTCFocus.org data set. Kaplan-Meier and Cox proportional hazards regression were used to assess risk of hospitalization during the preintervention period (2011-2012), a “ramp-up” period (2013-2014), and an intervention period (2015-2016).ResultsThe cohort consisted of 4230 long-stay nursing facility residents. Compared with the preintervention period, residents during the intervention period had an increased probability of having no hospitalizations within 1 year, increasing from 0.51 to 0.57, which was statistically significant (P < .001). In adjusted Cox models, the risk of hospitalization was lower in the ramp-up period compared to the pre-period [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.75-0.95] and decreased further during the intervention period (HR 0.74, 95% CI 0.65-0.84).Conclusions and ImplicationsAs part of a large multisite demonstration project, OPTIMISTIC has successfully reduced hospitalizations. However, this study highlights the magnitude and extent to which results differ across facilities. Implementing the OPTIMISTIC program was associated with a 16% risk reduction after the first 18 months and continued to a final risk reduction of 26% after 5½ years. Although this model of care reduces hospitalizations overall, facility variation should be expected.     

Risk of Death in Nursing Home Residents After COVID-19 Vaccination

ObjectivesIn the first months of 2021, the Dutch COVID-19 vaccination campaign was disturbed by reports of death in Norwegian nursing homes (NHs) after vaccination. Reports predominantly concerned persons >65 years of age with 1 or more comorbidities. Also, in the Netherlands adverse events were reported after COVID-19 vaccination in this vulnerable group. Yet, it was unclear whether a causal link between vaccination and death existed. Therefore, we investigated the risk of death after COVID-19 vaccination in Dutch NH residents compared with the risk of death in NH residents prior to the COVID-19 pandemic.DesignPopulation-based longitudinal cohort study with electronic health record data.Setting and ParticipantsWe studied Dutch NH residents from 73 NHs who received 1 or 2 COVID-19 vaccination(s) between January 13 and April 16, 2021 (n = 21,762). As a historical comparison group, we included Dutch NH residents who were registered in the same period in 2019 (n = 27,591).MethodsData on vaccination status, age, gender, type of care, comorbidities, and date of NH entry and (if applicable) discharge or date of death were extracted from electronic health records. Risk of death after 30 days was evaluated and compared between vaccinated residents and historical comparison residents with Kaplan-Meier and Cox regression analyses. Regression analyses were adjusted for age, gender, comorbidities, and length of stay.ResultsRisk of death in NH residents after one COVID-19 vaccination (regardless of whether a second vaccination was given) was decreased compared with historical comparison residents from 2019 (adjusted HR 0.77, 95% CI 0.69-0.86). The risk of death further decreased after 2 vaccinations compared with the historical comparison group (adjusted HR 0.57, 95% CI 0.50-0.64).Conclusions and ImplicationsWe found no indication that risk of death in NH residents is increased after COVID-19 vaccination. These results indicate that COVID-19 vaccination in NH residents is safe and could reduce fear and resistance toward vaccination.     

Nursing Home Design and COVID-19: Balancing Infection Control,Quality of Life,and Resilience

Many nursing home design models can have a negative impact on older people and these flaws have been compounded by Coronavirus Disease 2019 and related infection control failures. This article proposes that there is now an urgent need to examine these architectural design models and provide alternative and holistic models that balance infection control and quality of life at multiple spatial scales in existing and proposed settings. Moreover, this article argues that there is a convergence on many fronts between these issues and that certain design models and approaches that improve quality of life, will also benefit infection control, support greater resilience, and in turn improve overall pandemic preparedness.     

One-Year Medical Utilization and Mortality in Home Health and Nursing Home Care Recipients from Northern Taiwan

ObjectivesHome health care (HHC) and nursing home care (NHC) are mainstays of long-term service in the aged population. Therefore, we aimed to investigate the factors associated with 1-year medical utilization and mortality in HHC and NHC recipients in Northern Taiwan.DesignThis study employed a prospective cohort design.Setting and ParticipantsWe enrolled 815 HHC and NHC participants who started receiving medical care services from the National Taiwan University Hospital, Beihu Branch between January 2015 and December 2017.MethodsMultivariate Poisson regression modeling was used to quantify the relationship between care model (HHC vs NHC) and medical utilization. Cox proportional-hazards modeling was used to estimate hazard ratios and factors associated with mortality.ResultsCompared with NHC recipients, HHC recipients had higher 1-year utilization of emergency department services [incidence rate ratio (IRR) 2.04, 95% CI 1.16-3.59] and hospital admissions (IRR 1.49, 95% CI 1.14-1.93), as well as longer total hospital length of stay (LOS) (IRR 1.61, 95% CI 1.52-1.71) and LOS per hospital admission (IRR 1.31, 95% CI 1.22-1.41). Living at home or in a nursing home did not affect the 1-year mortality.Conclusions and ImplicationsCompared with NHC recipients, HHC recipients had a higher number of emergency department services and hospital admissions, as well as longer hospital LOS. Policies should be developed to reduce emergency department and hospitalization utilization in HHC recipients.     

A Robotic Device to Enhance Nursing Home Provider Telepresence During and After the COVID-19 Pandemic

The COVID-19 pandemic presented significant challenges to face-to-face communication with people residing in post-acute and long-term care (PALTC) settings. Telemedicine is an alternative, but facility staff may be overburdened with the management of the equipment. Here we introduce the use of a mobile HIPPA-compliant telepresence robot (MTR) to bridge this barrier, which may be beneficial to reimagine options for PALTC in the future.     

Community Coronavirus Disease 2019 Activity Level and Nursing Home Staff Testing for Active Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Indiana

ObjectivesTo assess whether using coronavirus disease 2019 (COVID-19) community activity level can accurately inform strategies for routine testing of facility staff for active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.DesignCross-sectional study.Setting and ParticipantsIn total, 59,930 nursing home staff tested for active SARS-CoV-2 infection in Indiana.MeasuresReceiver operator characteristic curves and the area under the curve to compare the sensitivity and specificity of identifying positive cases of staff within facilities based on community COVID-19 activity level including county positivity rate and county cases per 10,000.ResultsThe detection of any infected staff within a facility using county cases per 10,000 population or county positivity rate resulted in an area under the curve of 0.648 (95% confidence interval 0.601?0.696) and 0.649 (95% confidence interval 0.601?0.696), respectively. Of staff tested, 28.0% were certified nursing assistants, yet accounted for 36.9% of all staff testing positive. Similarly, licensed practical nurses were 1.4% of staff, but 4.7% of positive cases.Conclusions and ImplicationsWe failed to observe a meaningful threshold of community COVID-19 activity for the purpose of predicting nursing homes with any positive staff. Guidance issued by the Centers for Medicare and Medicaid Services in August 2020 sets the minimum frequency of routine testing for nursing home staff based on county positivity rates. Using the recommended 5% county positivity rate to require weekly testing may miss asymptomatic infections among nursing home staff. Further data on results of all-staff testing efforts, particularly with the implementation of new widespread strategies such as point-of-care testing, is needed to guide policy to protect high-risk nursing home residents and staff. If the goal is to identify all asymptomatic SARS-Cov-2 infected nursing home staff, comprehensive repeat testing may be needed regardless of community level activity.     

Quantifying Risk for SARS-CoV-2 Infection Among Nursing Home Workers for the 2020-2021 Winter Surge of the COVID-19 Pandemic in Georgia,USA

ObjectivesEstimate incidence of and risks for SARS-CoV-2 infection among nursing home staff in the state of Georgia during the 2020-2021 Winter COVID-19 Surge in the United States.DesignSerial survey and serologic testing at 2 time points with 3-month interval exposure assessment.Setting and ParticipantsFourteen nursing homes in the state of Georgia; 203 contracted or employed staff members from those 14 participating nursing homes who were seronegative at the first time point and provided a serology specimen at second time point, at which time they reported no COVID-19 vaccination or only very recent vaccination (≤4 weeks).MethodsInterval infection was defined as seroconversion to antibody presence for both nucleocapsid protein and spike protein. We estimated adjusted odds ratios (aORs) and 95% CIs by job type, using multivariable logistic regression, accounting for community-based risks including interval community incidence and interval change in resident infections per bed.ResultsAmong 203 eligible staff, 72 (35.5%) had evidence of interval infection. In multivariable analysis among unvaccinated staff, staff SARS-CoV-2 infection–induced seroconversion was significantly higher among nurses and certified nursing assistants accounting for race and interval infection incidence in both the community and facility (aOR 5.3, 95% CI 1.0-28.4). This risk persisted but was attenuated when using the full study cohort including those with very recent vaccination.Conclusions and ImplicationsMidway through the first year of the pandemic, job type continues to be associated with increased risk for infection despite enhanced infection prevention efforts including routine screening of staff. These results suggest that mitigation strategies prior to vaccination did not eliminate occupational risk for infection and emphasize critical need to maximize vaccine utilization to eliminate excess risk among front-line providers.     

Factors Associated With COVID-19 Hospitalizations and Deaths in French Nursing Homes

ObjectivesTo describe the clinical characteristics and management of residents in French nursing homes with suspected or confirmed coronavirus disease 2019 (COVID-19) and to determine the risk factors for COVID-19–related hospitalization and death in this population.DesignA retrospective multicenter cohort study.Setting and ParticipantsFour hundred eighty nursing home residents with suspected or confirmed COVID-19 between March 1 and May 20, 2020, were enrolled and followed until June 2, 2020, in 15 nursing homes in Marseille’s greater metropolitan area.MethodsDemographic, clinical, laboratory, treatment type, and clinical outcome data were collected from patients’ medical records. Multivariable analysis was used to determine factors associated with COVID-19–related hospitalization and death. For the former, the competing risk analysis—based on Fine and Gray’s model—took death into account.ResultsA total of 480 residents were included. Median age was 88 years (IQR 80-93), and 330 residents were women. A total of 371 residents were symptomatic (77.3%), the most common symptoms being asthenia (47.9%), fever or hypothermia (48.1%), and dyspnea (35.6%). One hundred twenty-three patients (25.6%) were hospitalized and 96 (20%) died. Male gender [specific hazard ratio (sHR) 1.63, 95% confidence interval (CI) 1.12-2.35], diabetes (sHR 1.69, 95% CI 1.15-2.50), an altered level of consciousness (sHR 2.36, 95% CI 1.40-3.98), and dyspnea (sHR 1.69, 95% CI 1.09-2.62) were all associated with a greater risk of COVID-19–related hospitalization. Male gender [odds ratio (OR) 6.63, 95% CI 1.04-42.39], thermal dysregulation (OR 2.64, 95% CI 1.60-4.38), falls (2.21 95% CI 1.02-4.75), and being aged >85 years (OR 2.36, 95% CI 1.32-4.24) were all associated with increased COVID-19–related mortality risk, whereas polymedication (OR 0.46, 95% CI 0.27-0.77) and preventive anticoagulation (OR 0.46, 95% CI 0.27-0.79) were protective prognostic factors.Conclusions and ImplicationsMale gender, being aged >85 years old, diabetes, dyspnea, thermal dysregulation, an altered level of consciousness, and falls must all be considered when identifying and protecting nursing home residents who are at greatest risk of COVID-19–related hospitalization and death.