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Canter BE, Ulyte A, McGarry BE, Barnett ML. Measures to Prevent and Control COVID-19 in Skilled Nursing Facilities: A Scoping Review. JAMA HEALTH FORUM 2025; 6:e245175. [PMID: 39888638 PMCID: PMC11786235 DOI: 10.1001/jamahealthforum.2024.5175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Accepted: 11/25/2024] [Indexed: 02/01/2025] Open
Abstract
Importance Skilled nursing facilities (SNFs) experienced high mortality during the COVID-19 pandemic, leading them to adopt preventive measures to counteract viral spread. A critical appraisal of these measures is essential to support SNFs in managing future infectious disease outbreaks. Objective To perform a scoping review of data and evidence on the use and effectiveness of preventive measures implemented from 2020 to 2024 to prevent COVID-19 infection in SNFs in the US. Evidence Review Two analyses were performed. First, an analysis of the federal COVID-19 SNF Database was conducted to describe time trends in COVID-19 incidence, deaths, testing, vaccination, and treatment among SNF residents and staff, as well as shortages in staff and personal protective equipment (PPE). Then, a comprehensive literature search was conducted from May 2023 to April 2024 to identify high-quality evidence on the use and effectiveness of modifiable preventive measures used among SNF residents. Both nonpharmacologic (facility characteristics, PPE, cohorting, and isolation, visitation, staffing, testing) and pharmacologic (vaccination, treatment) measures were reviewed. Findings Nationwide data indicated early shortages of PPE, infrequent testing, and persistent staff shortages in SNFs. Other nonpharmacologic measures, such as visitor restrictions or ventilation modifications, were widely adopted but there were no available national data to quantify their effectiveness. These nonpharmacologic measures lacked high-quality studies to verify effectiveness. In contrast, the effectiveness of vaccination and antiviral treatment was shown in multiple studies. Evidence also showed associations between COVID-19 outcomes in residents and crowding, staff size, hours per residents and networks, and surveillance testing of residents and staff. Despite high initial uptake, up-to-date vaccination status was suboptimal in residents and staff from 2022 to 2024. Only a minority of infected residents received antiviral treatment. Conclusions and Relevance This scoping review found that although many preventive measures were implemented in SNFs in the US throughout the COVID-19 pandemic, few were based on clear evidence of their effectiveness. Pharmacologic measures, such as vaccination and antiviral treatment, had more robust evidence supporting their efficacy than nonpharmacologic interventions. Using the scarce resources and staff of SNFs on measures of questionable effectiveness could distract from known effective ones such as vaccination and antiviral treatment. When possible, implementation efforts should be commensurate with the demonstrated effectiveness of available preventive measures.
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Affiliation(s)
- Benjamin E. Canter
- Department of Occupational Therapy, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, Massachusetts
| | | | - Brian E. McGarry
- Department of Medicine, University of Rochester, Rochester, New York
| | - Michael L. Barnett
- Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
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2
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Tchouaket EN, Kruglova K, Létourneau J, Bélanger E, Robins S, Jubinville M, El-Mousawi F, Shen S, Beogo I, Sia D. Factors influencing long-term care facility performance during the COVID-19 pandemic: a scoping review. BMC Health Serv Res 2024; 24:901. [PMID: 39113065 PMCID: PMC11304669 DOI: 10.1186/s12913-024-11331-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 07/19/2024] [Indexed: 08/11/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic wreaked havoc on long-term care facilities (LTCFs). Some LTCFs performed better than others at slowing COVID-19 transmission. Emerging literature has mostly described infection prevention and control strategies implemented by LTCFs during the pandemic. However, there is a need for a comprehensive review of factors that influenced the performance of LTCFs in containing COVID-19 spread to inform public health policy. OBJECTIVE To build on the existing literature, we conducted a scoping review of factors that influenced LTCF performance during the COVID-19 pandemic using a multidimensional conceptual framework of performance. METHODS We followed the Joanna Briggs Institute's methodology for scoping reviews. We queried CINAHL, MEDLINE (Ovid), CAIRN, Science Direct, Scopus, and Web of Science for peer-reviewed literature in English or French published between January 1st, 2020 and December 31st, 2021. Retrieved records were screened for context (COVID-19 pandemic), population (LTCFs), interest (internal and external factors that influenced LTCF performance), and outcomes (dimensions of performance: equity, accessibility, reactivity, safety, continuity, efficacy, viability, efficiency). Descriptive characteristics of included articles were summarized. Dimensions of performance as well as internal (e.g., facility characteristics) and external (e.g., visitors) factors identified to have influenced LTCF performance were presented. RESULTS We retained 140 articles of which 68% were classified as research articles, 47% originated in North America, and most covered a period between March and July 2020. The most frequent dimensions of performance were "efficacy" (75.7%) and "safety" (75.7%). The most common internal factors were "organizational context" (72.9%) and "human resources" (62.1%), and the most common external factors were "visitors" (27.1%) and "public health guidelines" (25.7%). CONCLUSIONS Our review contributes to a global interest in understanding the impact of the COVID-19 pandemic on vulnerable populations residing and working in LTCFs. Though a myriad of factors were reported, a lack of randomized controlled trials makes it impossible to establish causality between the identified factors and LTCF performance. The use of a multidimensional framework can be recommended to evaluate healthcare system performance not merely in terms of efficacy and safety, but alongside other critical dimensions such as efficiency and equity. TRIAL REGISTRATION Research Registry ID: researchregistry7026.
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Affiliation(s)
- Eric Nguemeleu Tchouaket
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada.
| | - Katya Kruglova
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
| | - Josiane Létourneau
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
| | - Emilie Bélanger
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
| | - Stephanie Robins
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
| | - Maripier Jubinville
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
| | - Fatima El-Mousawi
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
| | - Shiyang Shen
- Faculty of Medicine and Health Sciences, McGill University, 3605 Rue de la Montagne, Montréal, QC, H3G 2M1, Canada
| | - Idrissa Beogo
- School of Nursing, Faculty of Health Sciences, University of Ottawa, 200 Lees Avenue, Ottawa, ON, K1N 6N5, Canada
| | - Drissa Sia
- Department of Nursing, Université du Québec en Outaouais, St-Jérôme Campus, 5, rue Saint-Joseph, Office J-2204, Saint-Jérôme, QC, J7Z 0B7, Canada
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3
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Joshi S, Arshad S, Lindsay A, Heinonen J, Misikir H, Zervos J, Prentiss T, Verkler J, Numi M, Czander B, David RE, Mossing M, Kilgore PE, Rehman N, Zervos M. Control of SARS-CoV-2 infection in skilled nursing facilities in Detroit, Michigan: a model for emerging infectious diseases. Infect Control Hosp Epidemiol 2024:1-3. [PMID: 38505952 DOI: 10.1017/ice.2024.35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
An infection prevention bundle that consisted of the development of a response team, public-academic partnership, daily assessment, regular testing, isolation, and environmental controls was implemented in 26 skilled nursing facilities in Detroit, Michigan (March 2020-April 2021). This intervention was associated with sustained control of severe acute respiratory coronavirus virus 2 infection among residents and staff.
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Affiliation(s)
- Seema Joshi
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - Samia Arshad
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - Abigail Lindsay
- Detroit Health Department, Detroit, MI, USA
- Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA
| | - Jessica Heinonen
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - Helina Misikir
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - John Zervos
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - Tyler Prentiss
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - Jelena Verkler
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | - Mariia Numi
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
| | | | - Randy E David
- Detroit Health Department, Detroit, MI, USA
- School of Medicine, Wayne State University, Detroit, MI, USA
| | - Michael Mossing
- Detroit Health Department, Detroit, MI, USA
- CDC Foundation, Atlanta, GE, USA
| | - Paul E Kilgore
- School of Medicine, Wayne State University, Detroit, MI, USA
- Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI, USA
| | - Najibah Rehman
- Detroit Health Department, Detroit, MI, USA
- School of Medicine, Wayne State University, Detroit, MI, USA
| | - Marcus Zervos
- Division of Infectious Diseases, Henry Ford Hospital, Detroit, MI, USA
- School of Medicine, Wayne State University, Detroit, MI, USA
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4
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Yin C, Mpofu E, Brock K, Ingman S. Nursing Home Residents' COVID-19 Infections in the United States: A Systematic Review of Personal and Contextual Factors. Gerontol Geriatr Med 2024; 10:23337214241229824. [PMID: 38370579 PMCID: PMC10870703 DOI: 10.1177/23337214241229824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 12/22/2023] [Accepted: 01/15/2024] [Indexed: 02/20/2024] Open
Abstract
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.
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Affiliation(s)
- Cheng Yin
- University of North Texas, Denton, USA
| | - Elias Mpofu
- University of North Texas, Denton, USA
- University of Sydney, Australia
- University of Johannesburg, South Africa
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5
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Yin C, Mpofu E, Brock K, Ingman S. COVID-19 Hospitalization Outcomes for Long-Term Care Facility Residents With Dementia: Mediation by Pre-existing Health Conditions. Gerontol Geriatr Med 2024; 10:23337214241284035. [PMID: 39323570 PMCID: PMC11423368 DOI: 10.1177/23337214241284035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 08/13/2024] [Accepted: 08/28/2024] [Indexed: 09/27/2024] Open
Abstract
Background: This study explores COVID-19 emergency admission and length of hospital stay hospitalization outcomes for Long-Term Care Facility (LTCF) residents with dementia. Methods: Utilizing a cross-sectional case control design, we employed logistic regression to analyze Texas Inpatient Public Use Data File (PUDF) for 1,413 dementia patients and 1,674 non-dementia patients (>60 years) to predict emergency admission and length of hospital stay with mediation by pre-existing conditions. Results: LTCF residents with dementia have a higher likelihood of COVID-19 emergency admission and shorter hospital stays. Adjusting for confounders of demographics, health insurance, and lifestyle, dementia diagnosis remained significantly associated with emergency admission and shorter hospital stays with preexisting conditions. Conclusion: Findings underscore the heightened risk for adverse COVID-19 hospitalization care disparities with dementia. Targeted health support programs for LTCF residents with dementia should aim to improve their COVID19 hospitalization outcomes, treating pre-existing health conditions and reducing their risk for excess mortality.
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Affiliation(s)
- Cheng Yin
- University of North Texas, Denton, USA
| | - Elias Mpofu
- University of North Texas, Denton, USA
- University of Sydney, NSW, Australia
- University of Johannesburg, South Africa
| | - Kaye Brock
- University of North Texas, Denton, USA
- University of Sydney, NSW, Australia
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6
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Goodwin J, Harizaj A, Armstrong J, Maloney M, Ehrlich H, Leung V, Parikh S. Lessons Learned from the Connecticut Response to COVID-19 in Nursing Homes during the First 2 Years of the Pandemic. J Am Med Dir Assoc 2023; 24:1573-1578.e1. [PMID: 37591486 DOI: 10.1016/j.jamda.2023.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/03/2023] [Accepted: 07/05/2023] [Indexed: 08/19/2023]
Abstract
Nearly half of all SARS-CoV-2-related deaths in the United States occurred in long-term care facilities during the early pandemic. In Connecticut, statewide mitigation of this impact involved a collaboration between the Connecticut Department of Public Health and the Yale School of Public Health, alongside existing relationships with the long-term care industry and individual facilities. This close government-academic-industry collaboration facilitated the creation of a robust COVID-19 surveillance system that allowed for real-time analysis and identification of nursing homes where outbreak support was needed. The collaboration further facilitated vaccine and booster deployment to Connecticut nursing homes at a speed that outpaced much of the country. The impact of these interventions is demonstrated through COVID-19 case and death burdens among nursing home residents and the greater Connecticut population during each wave of the pandemic. We outline the evolution and impact of these alliances and how they enabled us to prioritize facilities, interventions, and the distribution of limited resources and training throughout the pandemic. We further detail lessons learned over the first 2 years of the pandemic. Such partnerships strengthen our ability to respond effectively to public health crises and should be created and/or maintained in the face of continued pandemic threats.
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Affiliation(s)
- Justin Goodwin
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Adora Harizaj
- Connecticut Department of Public Health, Hartford, CT, USA
| | - Jillian Armstrong
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Meghan Maloney
- Connecticut Department of Public Health, Hartford, CT, USA
| | - Hanna Ehrlich
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Vivian Leung
- Connecticut Department of Public Health, Hartford, CT, USA
| | - Sunil Parikh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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7
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Hatfield KM, Baggs J, Wolford H, Fang M, Sattar AA, Montgomery KS, Jin S, Jernigan J, Pilishvili T. Effectiveness of Coronavirus Disease 2019 (COVID-19) Vaccination Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection Among Residents of US Nursing Homes Before and During the Delta Variant Predominance, December 2020-November 2021. Clin Infect Dis 2022; 75:S147-S154. [PMID: 35856635 PMCID: PMC9384512 DOI: 10.1093/cid/ciac562] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Residents of nursing homes experience disproportionate morbidity and mortality related to coronavirus disease 2019 (COVID-19) and were prioritized for vaccine introduction. We evaluated COVID-19 vaccine effectiveness (VE) in preventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections among nursing home residents. METHODS We used a retrospective cohort of 4315 nursing home residents during 14 December 2020-9 November 2021. A Cox proportional hazards model was used to estimate hazard ratios comparing residents with a completed vaccination series with unvaccinated among those with and without prior SARS-CoV-2 infection, by vaccine product, and by time period. RESULTS Overall adjusted VE was 58% (95% confidence interval [CI], 44% to 69%) among residents without a history of SARS-CoV-2 infection. During the pre-Delta period, the VE within 150 days of receipt of the second dose of Pfizer-BioNTech (67%; 95% CI, 40% to 82%) and Moderna (75%; 95% CI, 32% to 91%) was similar. During the Delta period, VE measured >150 days after the second dose was 33% (95% CI, -2% to 56%) for Pfizer-BioNTech and 77% (95% CI, 48% to 91%) for Moderna. Rates of infection were 78% lower (95% CI, 67% to 85%) among residents with prior SARS-CoV-2 infection and completed vaccination series compared with unvaccinated residents without a history of SARS-CoV-2 infection. CONCLUSIONS COVID-19 vaccines were effective in preventing SARS-CoV-2 infections among nursing home residents, and history of prior SARS-CoV-2 infection provided additional protection. Maintaining high coverage of recommended doses of COVID-19 vaccines remains a critical tool for preventing infections in nursing homes.
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Affiliation(s)
| | - James Baggs
- COVID-19 response team,Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases
| | - Hannah Wolford
- COVID-19 response team,Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases
| | | | | | | | | | - John Jernigan
- COVID-19 response team,Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases
| | - Tamara Pilishvili
- COVID-19 response team,Division of Viral Diseases, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention
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8
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Singh BK, Walker J, Paul P, Reddy S, Gowler CD, Jernigan J, Slayton RB. De-escalation of asymptomatic testing and potential of future COVID-19 outbreaks in US nursing homes amidst rising community vaccination coverage: A modeling study. Vaccine 2022; 40:3165-3173. [PMID: 35487811 PMCID: PMC9013672 DOI: 10.1016/j.vaccine.2022.04.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 04/06/2022] [Accepted: 04/11/2022] [Indexed: 11/09/2022]
Abstract
As of 2 September 2021, United States nursing homes have reported >675,000 COVID-19 cases and >134,000 deaths according to the Centers for Medicare & Medicaid Services (CMS). More than 205,000,000 persons in the United States had received at least one dose of a COVID-19 vaccine (62% of total population) as of 2 September 2021. We investigate the role of vaccination in controlling future COVID-19 outbreaks. We developed a stochastic, compartmental model of SARS-CoV-2 transmission in a 100-bed nursing home with a staff of 99 healthcare personnel (HCP) in a community of 20,000 people. We parameterized admission and discharge of residents in the model with CMS data, for a within-facility basic reproduction number (R0) of 3.5 and a community R0 of 2.5. The model also included: importation of COVID-19 from the community, isolation of SARS-CoV-2 positive residents, facility-wide adherence to personal protective equipment (PPE) use by HCP, and testing. We systematically varied coverage of mRNA vaccine among residents, HCP, and the community. Simulations were run for 6 months after the second dose in the facility, with results summarized over 1,000 simulations. Expected resident cases decreased as community vaccination increased, with large reductions at high HCP coverage. The probability of a COVID-19 outbreak was lower as well: at HCP vaccination coverage of 60%, probability of an outbreak was below 20% for community coverage of 50% or above. At high coverage, stopping asymptomatic screening and facility-wide testing yielded similar results. Results suggest that high coverage among HCP and in the community can prevent infections in residents. When vaccination is high in nursing homes, but not in their surrounding communities, asymptomatic and facility-wide testing remains necessary to prevent the spread of COVID-19. High adherence to PPE may increase the likelihood of containing future COVID-19 outbreaks if they occur.
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Affiliation(s)
- Brajendra K Singh
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
| | - Joseph Walker
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
| | - Prabasaj Paul
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
| | - Sujan Reddy
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
| | - Camden D Gowler
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
| | - John Jernigan
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
| | - Rachel B Slayton
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA.
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9
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Nagao M, Matsumura Y, Yamamoto M, Shinohara K, Yukawa S, Noguchi T, Tsuchido Y, Ikeda T. Analysis of a city-wide COVID-19 prevention strategy for aged-care facilities during third and fifth waves of COVID-19 in Kyoto City, Kyoto, Japan. Influenza Other Respir Viruses 2022; 16:690-695. [PMID: 35262286 PMCID: PMC9111714 DOI: 10.1111/irv.12981] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND During the third wave of the COVID-19 pandemic at the end of 2020, clusters occurred frequently in aged-care facilities (ACFs), which put pressure on the medical field in Japan. Based on this experience, Kyoto University and Kyoto City collaborated to promote a citywide COVID-19 prevention strategy to prevent the spread of COVID-19 within ACFs. The aim of this study was to clarify the effect of the prevention strategy among ACFs in Kyoto City during the third and fifth waves of the pandemic. METHODS During the study period, the following measures were adopted as the prevention strategy in all ACFs: (1) active polymerase chain reaction (PCR) mass testing and facility-wide testing when a single case was identified, (2) implementation of strategies to prevent transmission within a facility, and (3) vaccination program for ACFs. RESULTS Of the 1,144 facilities subjected to the mass testing, 71.0% participated in the whole program including active PCR testing. The remainder participated in the rest of the programs. The prevalence of ACF-related COVID-19 cases among total COVID-19 cases in Kyoto City decreased from 7.9% in the third wave to 4.1% in the fourth wave and 2.1% in the fifth wave. The incidence of clusters and proportion of severe elderly cases also decreased during the study period. CONCLUSIONS A city-wide multidisciplinary effort including PCR mass testing and a vaccination program in cooperation with a university and local administrative office successfully reduced the clusters and transmission in ACFs in Kyoto City, Japan.
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Affiliation(s)
- Miki Nagao
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Yasufumi Matsumura
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Masaki Yamamoto
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Koh Shinohara
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Satomi Yukawa
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Taro Noguchi
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Yasuhiro Tsuchido
- Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Clinical Laboratory, Department of Infection Prevention, Kyoto University Hospital, Kyoto, Japan
| | - Takeshi Ikeda
- Public Health and Welfare Bureau of Kyoto City, Kyoto, Japan
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10
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Strong Decay of SARS-CoV-2 Spike Antibodies after 2 BNT162b2 Vaccine Doses and High Antibody Response to a Third Dose in Nursing Home Residents. J Am Med Dir Assoc 2022; 23:750-753. [PMID: 35311651 PMCID: PMC8864102 DOI: 10.1016/j.jamda.2022.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/15/2022] [Accepted: 02/16/2022] [Indexed: 12/21/2022]
Abstract
Objectives To measure the antibody decay after 2 BNT162b2 doses and the antibody response after a third vaccine dose administered 6 months after the second one in nursing home residents with and without prior COVID-19. Design Cohort study. Setting and Participants Four hundred-eighteen residents from 18 nursing homes. Methods Blood receptor-binding domain (RBD)-IgG (IgG II Quant assay, Abbott Diagnostics; upper limit: 5680 BAU) and nucleocapsid-IgG (Abbott Alinity) were measured 21‒28 days after the second BNT162b2 dose, as well as 1‒3 days before and 21‒28 days after the third vaccine dose. RBD-IgG levels of ≥592 BAU/mL were considered as high antibody response. Residents with prior positive quantitative reverse transcription polymerase chain reaction on a nasopharyngeal swab or with N-IgG levels above 0.8 S/CO were considered as prior COVID-19 residents. Results In prior COVID-19 residents (n = 122), RBD-IgG median levels decreased by 82% in 167 days on average. In the same period, the number of residents with a high antibody response decreased from 88.5% to 54.9% (P < .0001) and increased to 97.5% after the third vaccine dose (P = .02 vs the first measure). In residents without prior COVID-19 (n = 296), RBD-IgG median levels decreased by 89% in 171 days on average. The number of residents with a high antibody response decreased from 29.4% to 1.7% (P < .0001) and increased to 88.4% after the third vaccine dose (P < .0001 vs the first measure). Conclusions and Implications The strong and rapid decay of RBD-IgG levels after the second BNT162b2 dose in all residents and the high antibody response after the third dose validate the recommendation of a third vaccine dose in residents less than 6 months after the second dose, prioritizing residents without prior COVID-19. The slope of RBD-IgG decay after the third BNT162b2 dose and the protection level against SARS-CoV-2 B.1.1.529 (omicron) and other variants of concern provided by the high post-boost vaccination RBD-IgG response require further investigation in residents.
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Delory T, Arino J, Haÿ PE, Klotz V, Boëlle PY. SARS-CoV-2 in Nursing Homes: Analysis of Routine Surveillance Data in Four European Countries. Aging Dis 2022; 14:325-330. [PMID: 37008047 PMCID: PMC10017157 DOI: 10.14336/ad.2022.0820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 08/20/2022] [Indexed: 11/18/2022] Open
Abstract
Transmission of SARS-CoV-2 in nursing homes is poorly documented. Using surveillance data of 228 European private nursing homes, we estimated weekly SARS-CoV-2 incidences among 21,467 residents and 14,371 staff members, compared to that in the general population, between August 3, 2020, and February 20, 2021. We studied the outcomes of "episodes of introduction" where one case was first detected and computed attack rates, reproduction ratio (R), and dispersion parameter (k). Out of 502 episodes of SARS-CoV-2 introduction, 77.1% (95%CI, 73.2%-80.6%) led to additional cases. Attack rates were highly variable, ranging from 0.4% to 86.5%. The R was 1.16 (95%CI, 1.11-1.22) with k at 2.5 (95%CI, 0.5-4.5). The timing of viral circulation in nursing homes did not mirror that in the general population (p-values<0.001). We estimated the impact of vaccination in preventing SARS-CoV-2 transmission. Before vaccination's roll-out, a cumulated 5,579 SARS-CoV-2 infections were documented among residents and 2,321 among staff. Higher staffing ratio and previous natural immunization reduced the probability of an outbreak following introduction. Despite strong preventive measures, transmission likely occurred, regardless of building characteristics. Vaccination started on January 15, 2021, and coverage reached 65.0% among residents, and 42.0% among staff by February 20, 2021. Vaccination yielded a 92% reduction (95%CI, 71%-98%) of outbreak probability, and lowered R to 0.87 (95%CI, 0.69-1.10). In the post-pandemic era, much attention will have to be paid to multi-lateral collaboration, policy making, and prevention plans.
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Affiliation(s)
- Tristan Delory
- Sorbonne Université, INSERM, Institut Pierre Louis d’Épidémiologie et de Santé Publique, IPLESP, F-75012, Paris, France.
- Centre Hospitalier Annecy Genevois, France.
- Correspondence should be addressed to: Dr. Tristan Delory, DRCI, Centre Hospitalier Annecy Genevois, 1 avenue de l’hôpital, 74290 Epagny - Metz - Tessy, France. .
| | - Julien Arino
- Department of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada.
| | | | | | - Pierre-Yves Boëlle
- Sorbonne Université, INSERM, Institut Pierre Louis d’Épidémiologie et de Santé Publique, IPLESP, F-75012, Paris, France.
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