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1.
(2023) (Re)designing the continuum of care for older adults: The future of long-term care settings xxxi, 362 pp Cham, Switzerland: Springer Nature Switzerland AG|Switzerland ; 2023.
Article in English | APA PsycInfo | ID: covidwho-20235490

ABSTRACT

This book broadens the visioning on new care environments that are designed to be inclusive, progressive, and convergent with the needs of an aging population. The contents cover a range of long-term care (LTC) settings in a single collection to address the needs of a wide audience. Due to the recent COVID-19 pandemic, rethinking the spatial design of care facilities in order to prepare for future respiratory and contagious pathogens is one of the prime concerns across the globe, along with social connectedness and autonomy in care settings. This book contributes to the next generation of knowledge and understanding of the growing field of the design of technology, programs, and environments for LTC that are more effective in infection prevention and control as well as social connectedness. To address these issues, the chapters are organized in four sections: Part I: Home- and community-based care;Part II: Facility-based care;Part III: Memory care and end-of-life care;and Part IV: Evidence-based applied projects and next steps. (Re)designing the Continuum of Care for Older Adults is an essential resource for researchers, practitioners, educators, policymakers, and students associated with LTC home and healthcare settings. With diverse topics in theory, substantive issues, and methods, the contributions from notable researchers and scholars cover a range of innovative programming, environments, and technologies which can impact the changing needs and support for older adults and their families across the continuum of care. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

2.
(Re)designing the continuum of care for older adults: The future of long-term care settings ; : 309-335, 2023.
Article in English | APA PsycInfo | ID: covidwho-20233703

ABSTRACT

The COVID-19 (coronavirus disease 2019) pandemic has posed greater challenges to older adults, especially those who live in congregated long-term care facilities (LTCFs) in dense urban settings. These facilities struggle with high rates of COVID-19 infections and other challenges that undermine LTCF residents' well-being. These challenges, including social isolation and limited access to nature and community, have been exacerbated by the pressures of the pandemic. This has led to feelings of loneliness, depression, and other mental health issues among residents and a higher risk of psychological stress and infection among nurses. The pandemic has challenged the existing built environment of LTCFs. Issues regarding physical and mental health, quality of life (QoL), infection control, and pandemic resiliency have been shown to be increasingly interwoven. This chapter envisions innovative approaches toward a post-COVID-19 environment for older adults and their caregivers. This chapter provides an extensive review and synthesis of the lessons learned from LTCFs during the pandemic, with a focus on how their experience was impacted by design. The authors also draw from current design trends to identify their potential to support residents', staff, and visitors' needs during and after pandemics. From these learnings, the following design principles were developed: (1) small household model, (2) biophilic design, (3) intergenerational community, and (4) multi-tier infection control strategies. These design principles were then translated to a prototype through a graduate capstone studio project, which provides a visual illustration of how these evidence-based design solutions can be applied within a dense urban environment. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

3.
Epidemiologiya i Vaktsinoprofilaktika ; 22(2):107-116, 2023.
Article in Russian | Scopus | ID: covidwho-20231929

ABSTRACT

Relevance. Elderly people have become the fastest growing segment of the global population over the past few decades. The number of people over the working age in Russia, and with them citizens living in closed long-term care facilities (CLTFS), is growing. Residents of these organizations belong to the risk group, and CLTFS have a number of characteristics that turn these institutions into a unique environment for the spread of infectious diseases. Aims. To analyze the CLTFS residents infectious morbidity in the "pre-covid stage" (according to literature sources). A scientific review of research in Russian and English using information portals and platforms has been carried out eLIBRARY.ru, Web of Science, PubMed, Google Academy and Scopus for the period 1981-2022. The search was carried out by keywords. Information about the most frequent infectious diseases affecting residents of closed long-term care institutions was the criterion for inclusion in the sample of publications. Out of 16171 initially identified articles, 61 publications were selected after initial analysis. Conclusions. According to various estimates, the leading infectious diseases in CLTFS were: acute respiratory infections, pneumonia, urinary tract infections, skin and mucous infections, acute intestinal infections. The article describes pathogens and their prevalence in CLTFS including pathogens with multiple drug resistance (MDR), describes the resistance of bacteria to antimicrobial drugs formation problem in these organizations, as well as development of certain diseases risk factors. Studies conducted in various CLTFS in Europe, Russia, the USA, and Asia indicate a high prevalence of infectious diseases among their residents, high colonization of residents with antimicrobial-resistant pathogens, as well as the infection transmission probability from the CLTFS and its spread to other long-term care institutions and medical and preventive organizations. © 2023, Numikom. All rights reserved.

4.
BMC Health Serv Res ; 23(1): 583, 2023 Jun 07.
Article in English | MEDLINE | ID: covidwho-20245209

ABSTRACT

BACKGROUND: Staff shortage is a long-standing issue in long term care facilities (LTCFs) that worsened with the COVID-19 outbreak. Different states in the US have employed various tools to alleviate this issue in LTCFs. We describe the actions taken by the Commonwealth of Massachusetts to assist LTCFs in addressing the staff shortage issue and their outcomes. Therefore, the main question of this study is how to create a central mechanism to allocate severely limited medical staff to healthcare centers during emergencies. METHODS: For the Commonwealth of Massachusetts, we developed a mathematical programming model to match severely limited available staff with LTCF demand requests submitted through a designed portal. To find feasible matches and prioritize facility needs, we incorporated restrictions and preferences for both sides. For staff, we considered maximum mileage they are willing to travel, available by date, and short- or long-term work preferences. For LTCFs, we considered their demand quantities for different positions and the level of urgency for their demand. As a secondary goal of this study, by using the feedback entries data received from the LTCFs on their matches, we developed statistical models to determine the most salient features that induced the LTCFs to submit feedback. RESULTS: We used the developed portal to complete about 150 matching sessions in 14 months to match staff to LTCFs in Massachusetts. LTCFs provided feedback for 2,542 matches including 2,064 intentions to hire the matched staff during this time. Further analysis indicated that nursing homes and facilities that entered higher levels of demand to the portal were more likely to provide feedback on the matches and facilities that were prioritized in the matching process due to whole facility testing or low staffing levels were less likely to do so. On the staffing side, matches that involved more experienced staff and staff who can work afternoons, evenings, and overnight were more likely to generate feedback from the facility that they were matched to. CONCLUSION: Developing a central matching framework to match medical staff to LTCFs at the time of a public health emergency could be an efficient tool for responding to staffing shortages. Such central approaches that help allocate a severely limited resource efficiently during a public emergency can be developed and used for different resource types, as well as provide crucial demand and supply information in different regions and/or demographics.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Long-Term Care , Nursing Homes , Disease Outbreaks , Medical Staff
5.
Front Rehabil Sci ; 4: 1173558, 2023.
Article in English | MEDLINE | ID: covidwho-20233424

ABSTRACT

The rapidly evolving COVID-19 public health emergency has disrupted and challenged traditional healthcare, rehabilitation services, and treatment delivery worldwide. This perspective paper aimed to unite experiences and perspectives from an international group of rehabilitation providers while reflecting on the lessons learned from the challenges and opportunities raised during the COVID-19 pandemic. We discuss the global appreciation for rehabilitation services and changes in access to healthcare, including virtual, home-based rehabilitation, and long-term care rehabilitation. We illustrate lessons learned by highlighting successful rehabilitation approaches from the US, Belgium, and Japan.

6.
Z Gesundh Wiss ; : 1-13, 2023 May 16.
Article in English | MEDLINE | ID: covidwho-2324826

ABSTRACT

Aim: Long-term-care facility residents are a vulnerable population who experienced reduced healthcare access during the pandemic. This study aimed to assess the indirect impact of the COVID-19 pandemic, in terms of hospitalisation and mortality rates, among this population in two Italian Regions, Tuscany and Apulia, during 2020 in comparison with the pre-pandemic period. Subject and methods: We conducted a retrospective cohort study on people residing in long-term-care facilities from 1 January 2018 to 31 December 2020 (baseline period: 1 January 2018-8 March 2020; pandemic period: and 9 March-31 December 2020). Hospitalisation rates were stratified by sex and major disease groups. Standardised weekly rates were estimated with a Poisson regression model. Only for Tuscany, mortality risk at 30 days after hospitalisation was calculated with the Kaplan-Meier estimator. Mortality risk ratios were calculated using Cox proportional regression models. Results: Nineteen thousand two hundred and fifty individuals spent at least 7 days in a long-term-care facility during the study period. The overall mean non-Covid hospital admission rate per 100 000 residents/week was 144.1 and 116.2 during the baseline and pandemic periods, with a decrease to 99.7 and 77.3 during the first (March-May) and second lockdown (November-December). Hospitalisation rates decreased for all major disease groups. Thirty-day mortality risk ratios for non-Covid conditions increased during the pandemic period (1.2, 1.1 to 1.4) compared with baseline. Conclusion: The pandemic resulted in worse non-COVID-related health outcomes for long-term-care facilities' residents. There is a need to prioritise these facilities in national pandemic preparedness plans and to ensure their full integration in national surveillance systems. Supplementary information: The online version contains supplementary material available at 10.1007/s10389-023-01925-1.

7.
Eur Geriatr Med ; 14(3): 527-535, 2023 06.
Article in English | MEDLINE | ID: covidwho-2322966

ABSTRACT

PURPOSE: To describe the occurrence of SARS-CoV-2 infections, deaths and outbreaks among residents in Danish long-term care facilities (LTCFs) from February 2020 to February 2021. METHODS: Danish COVID-19 national register data from a newly implemented automated surveillance system was used to describe incidence rate and deaths (per 1000 residents' years), number of tests, SARS-CoV-2 infections and outbreaks among LTCF residents. A case was defined as a LTCF resident with a positive SARS-CoV-2 PCR test. An outbreak was defined as two or more cases in one LTCF within a 14-day period, and considered closed if no new cases had occurred within 28 days. Death was defined as occurring within 30-days of a positive test. RESULTS: A total of 55,359 residents living in 948 LTCFs were included. The median age of the residents was 85 years and 63% were female. There was a total of 3712 cases found among residents across 43% of all LTCFs. Nearly all (94%) cases were linked to outbreaks. Higher numbers of cases and outbreaks were seen in Denmark's Capital Region compared to other regions. Overall, 22 SARS-CoV-2 deaths and 359 deaths (non-SARS-CoV-2) per 1000 resident years were identified in the study period. CONCLUSION: Less than half of LTCFs identified any cases. The majority of cases were linked to outbreaks, emphasizing the importance of preventing introductions of SARS-CoV-2 into the facilities. Furthermore, it highlights the need to invest efforts into infrastructures, routine procedures and monitoring of SARS-CoV-2 in LTCFs to limit the introduction and the spread of SARS-CoV-2.


Subject(s)
COVID-19 , SARS-CoV-2 , Female , Humans , Aged, 80 and over , Male , COVID-19/epidemiology , Long-Term Care/methods , Pandemics/prevention & control , Denmark
8.
Journal of Infection Prevention ; 2023.
Article in English | Scopus | ID: covidwho-2274821

ABSTRACT

Background: Long-term care facilities (LTCFs) including assisted living facilities (ALFs) are hubs for high transmission and poor prognosis of COVID-19 among the residents who are more susceptible due to old age and comorbidities. Aim: Houston Health Department conducted assessments of ALFs within the City of Houston to determine preparedness and existing preventive measures at the facilities. Methods: Onsite assessments were conducted at ALFs using a modified CDC Infection Control Assessment and Response (ICAR) Tool. Data was obtained on IPC measures, training, testing, vaccination etc. Data was analyzed, frequencies generated, and bivariate associations determined. Results: A total of 118 facilities were assessed and categorized into small scale 46 (39%), medium scale 47 (40%), and large scale 25 (21%). The facilities had 2431 residents and 2290 staff. Thirty-one (26%) facilities reported an outbreak in 2020, while 14 (12%) had an ongoing outbreak. Twenty-three (97%) large-scale and 12 (26%) small-scale facilities had COVID-19 testing program. Vaccination coverage among residents ranged from 99% in large-scale to 40% in small-scale facilities but was smaller among staff at 748 (45%) in large scale, 71 (36%) in small scale, and 193 (45%) in medium scale. While 24 (96%) large-scale and 34 (77%) of small-scale facilities conducted staff training staff on IPC practices, 22 (92%) of large-scale and 19 (56%) of small-scale facility staff demonstrated capacity (p = 0.01), respectively. Visitor screening was done at 100% of large-scale and 80% of small-scale and the medium-scale ALFs. Discussion: Assisted living facilities within the city of Houston are at various levels of preparedness and interventions with respect to COVID-19 response. © The Author(s) 2023.

9.
Coronaviruses ; 2(8) (no pagination), 2021.
Article in English | EMBASE | ID: covidwho-2274460

ABSTRACT

Introduction: COVID-19 has been a challenge for healthcare, mainly in elderly patients in Nursing Homes (NHs) and Long-Term Care Facilities (LTCFs). We present a pioneering novel experience in addressing healthcare of elderly patients with COVID-19 in these facilities by a re-conversion of a NH in a medicalized NH. Method(s): All patients admitted to the center were included, recording clinical and epidemiological variables. We conducted a descriptive analysis and a multivariate analysis to identify variables linked to mortality and persistence of positive PCR test. Result(s): 84 patients were included (40% men), women presented more symptomatology. We found a positive correlation between the duration of symptoms and the days required to obtain a negative PCR test (r=0.512, P<0.001). We also found an independent and significant association between as-thenia (OR=2.58;IC95% 1.22-5.46) and mutism (OR=5.21;IC95% 1.58-17.15) and a longer time to achieve a negative PCR test. All patients, except contraindication, were treated with hydrox-ychloroquine and azithromycin, which was the recommended treatment during the period of the study. The early start of corticoid treatment (within the first 72 hours since the start of symptoms) was linked to a lower mortality in patients with moderate-severe symptoms. Mortality was lower than expected (which was higher than 20% in that period and group of age), reaching 14%, the main factors linked to mortality were the presence of mutism (OR=19;IC95% 3.4-108;P=0.001) and dyspnea (OR=12;IC95% 1.3-111;P=0.029). Conclusion(s): An alternative system was presented for the care of these patients through the recon-version of a basic NH in a medicalized one, which showed a significant reduction in the expected mortality.Copyright © 2021 Bentham Science Publishers.

10.
International Journal of Qualitative Methods ; 22, 2023.
Article in English | Scopus | ID: covidwho-2259504

ABSTRACT

Photovoice helps participants express their perspectives through photography. As a setting for Photovoice, nursing homes represent challenging, yet promising, contexts partly characterized by elements of Goffman's concept of "total institutions” and more fully characterized as Heinzelmann's "pseudo-total institutions.” We analyzed Photovoice's applicability in nursing homes within the context of physical activity promotion research. Our results indicate Photovoice (1) helps overcome fear and builds trust between researchers and participants, (2) requires certain ethical considerations, (3) addresses technical alienation, (4) determines what is relevant from participants' point of view, and (5) points out the invisibility of significant others. Further, we provide insights for (6) making Photovoice research a priority in organizational routines, (7) contextualizing photographs, and (8) adjusting for COVID19-related methodological challenges. We also discuss our insights for potential adaptations to ensure participant privacy and safety when using Photovoice in pseudo-total institutions, such as nursing homes. Photovoice reveals activity-promoting and activity-impeding factors possibly unrecognized with other research methods, as well as differences in stakeholder perspectives about physical activity. © The Author(s) 2023.

11.
Public Health and Life Environment ; 31(2):64-74, 2023.
Article in Russian | Scopus | ID: covidwho-2256377

ABSTRACT

Background: Residents of long-term care facilities are at higher risk of the severe course and outcomes of COVID-19. Objective: To describe the epidemiological situation and risk factors for severe COVID-19 in nursing homes in the world and Russia. Materials and methods: We reviewed Russian and English-language papers published in March 2020 to October 2022 and found in such resources as eLIBRARY.ru, Web of Science, PubMed, Google Academy, and Scopus using the following keywords: long-term care facilities, nursing homes, COVID-19 morbidity in nursing homes, COVID-19 mortality in nursing homes, and COVID-19 risk factors in nursing homes. Availability of information on morbidity and mortality among residents and employees of long-term care facilities in Russia, Europe and the USA and about the risk factors for severe course and adverse outcomes of COVID-19 was the inclusion criterion. Of 1,013 articles initially identified, 40 publications were included in the review. Results: The analysis of the worldwide epidemiological situation has shown that COVID-19 incidence and mortality rates in nursing homes fluctuate, and, as of October 2022, cases of the disease among residents, including multiple cases within a facility, were still registered. In most countries, the highest incidence of COVID-19 in long-term care facilities was observed in January – March 2022, while the lowest was noted in May – July 2021. The number of deaths has decreased significantly over time and remains low. Risk factors for a severe course and death from the novel coronavirus disease include age, male sex, and concomitant diseases. We established, however, that disease severity was also affected by the staff-to-resident ratio, availability of paid sick leave of the personnel, patient isolation opportunities, division of the working area, type of ownership (private), and COVID-19 incidence rates in the local community. Conclusion: We have analyzed the epidemiological situation and risk factors for severe COVID-19 in long-term care facilities at the national and global levels. As of October 2022, the novel coronavirus disease remains a challenge for nursing facilities. The severity of the infection is influenced by personal characteristics of patients and external factors related to the residential care facility. © 2023.

12.
Viruses ; 15(3)2023 03 14.
Article in English | MEDLINE | ID: covidwho-2267327

ABSTRACT

Since the beginning of the pandemic, public health authorities have provided support to long-term care facilities (LTCFs) for the implementation of risk mitigation measures. Nevertheless, the necessity of these measures has been doubted, especially after vaccines and antiviral treatment became available. Here, we present the burden of COVID-19 infection in LTCFs during the first 9 months of 2022 across Greece. We tested the possible association of LTCF characteristics and public health response with the occurrence of clusters (two or more linked cases in LTCFs) with facilities recording one case as reference. After excluding LTCFs with sporadic cases, we tested the effect of the abovementioned variables on attack rate (cases/total number of persons in the LTCF). The disease burden in LTCFs was high and substantially varied among facilities, with hospitalization and case fatality rates ranging from 2 to 80% (median 14%, IQR 27%) and from 1 to 50% (median 5%, IQR 7%), respectively. The probability of transmission inside the facility increased when notification of public health authorities was delayed (p-Value < 0.001) after adjusting for vaccination status and phase of the pandemic. Results showed that active support from public health authorities is still important in reducing the burden in LTCFs.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Long-Term Care/methods , Public Health , Health Facilities , Antiviral Agents/therapeutic use
14.
J Hosp Infect ; 131: 107-121, 2022 Oct 04.
Article in English | MEDLINE | ID: covidwho-2263492

ABSTRACT

BACKGROUND: Antibiotics are commonly prescribed for respiratory tract infections (RTIs) among older adults in long-term care facilities (LTCFs), and this contributes to the emergence of antimicrobial resistance. The objective of this study was to determine the antibiotic prescribing rate for RTIs among LTCF residents, and to analyse the antibiotic consumption patterns with the AwaRe monitoring tool, developed by the World Health Organization. METHODS: MEDLINE, EMBASE and CINAHL were searched from inception to March 2022. Original articles reporting antibiotic use for RTIs in LTCFs were included in this review. Study quality was assessed using the Joanna Briggs Institute's Critical Appraisal Checklist for Prevalence Data. A random-effects meta-analysis was employed to calculate the pooled estimates. Subgroup analysis was conducted by type of RTI, country, and study start year. RESULTS: In total, 47 articles consisting of 50 studies were included. The antibiotic prescribing rate ranged from 21.5% to 100% (pooled estimate 69.8%, 95% confidence interval 55.2-82.6%). The antibiotic prescribing rate for lower respiratory tract infections (LRTIs) was higher than the rates for viral and general RTIs. Compared with Italy, France and the USA, the Netherlands had lower antibiotic use for LRTIs. A proportion of viral RTIs were treated with antibiotics, and all the antibiotics were from the Watch group. Use of antibiotics in the Access group was higher in the Netherlands, Norway, Switzerland and Slovenia compared with the USA and Australia. CONCLUSION: The antibiotic prescribing rate for RTIs in LTCFs was high, and AWaRe antibiotic use patterns varied by type of RTI and country. Improving antibiotic use may require coordination efforts.

15.
Vaccines (Basel) ; 11(3)2023 Feb 23.
Article in English | MEDLINE | ID: covidwho-2269565

ABSTRACT

Vaccine hesitancy and refusal have undermined COVID-19 vaccination efforts of nursing staff. This study aimed to identify behavioral factors associated with COVID-19 vaccine uptake among unvaccinated nursing staff in long-term care facilities (LTCF) in Finland. Methodology: The study was based on the Theoretical Domains Framework. Data were collected through qualitative in-depth interviews among nursing staff and managers of LTCFs. The analysis was based on thematic analysis. We identified seven behavioral domains, with several themes, that reduced the staff's intention to get vaccinated: knowledge (information overload, inability to identify trustworthy information sources, lack of vaccine-specific and understandable scientific information), beliefs about consequences (incorrect perceptions about the vaccine effectiveness, and lack of trust in the safety of the vaccine), social influences (influence of family and friends), reinforcement (limited abilities of the management to encourage vaccination), beliefs about capabilities (pregnancy or desire to get pregnant), psychological factors (coping with changing opinion), and emotions (confusion, suspicion, disappointment, and fatigue). We also identified three behavioral domains that encouraged vaccine uptake: social influences (trust in health authorities), environmental context and resources (vaccination logistics), and work and professional role (professional pride). The study findings can help authorities to develop tailored vaccine promotion strategies for healthcare workers in LTCFs.

16.
J Infect Dis ; 227(4): 533-542, 2023 02 14.
Article in English | MEDLINE | ID: covidwho-2244138

ABSTRACT

BACKGROUND: Evidence is accumulating of coronavirus disease 2019 (COVID-19) vaccine effectiveness among persons with prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: We evaluated the effect against incident SARS-CoV-2 infection of (1) prior infection without vaccination, (2) vaccination (2 doses of Pfizer-BioNTech COVID-19 vaccine) without prior infection, and (3) vaccination after prior infection, all compared with unvaccinated persons without prior infection. We included long-term care facility staff in New York City aged <65 years with weekly SARS-CoV-2 testing from 21 January to 5 June 2021. Test results were obtained from state-mandated laboratory reporting. Vaccination status was obtained from the Citywide Immunization Registry. Cox proportional hazards models adjusted for confounding with inverse probability of treatment weights. RESULTS: Compared with unvaccinated persons without prior infection, incident SARS-CoV-2 infection risk was lower in all groups: 54.6% (95% confidence interval, 38.0%-66.8%) lower among unvaccinated, previously infected persons; 80.0% (67.6%-87.7%) lower among fully vaccinated persons without prior infection; and 82.4% (70.8%-89.3%) lower among persons fully vaccinated after prior infection. CONCLUSIONS: Two doses of Pfizer-BioNTech COVID-19 vaccine reduced SARS-CoV-2 infection risk by ≥80% and, for those with prior infection, increased protection from prior infection alone. These findings support recommendations that all eligible persons, regardless of prior infection, be vaccinated against COVID-19.


Subject(s)
COVID-19 Vaccines , COVID-19 , Humans , COVID-19/epidemiology , COVID-19/prevention & control , BNT162 Vaccine , COVID-19 Testing , Long-Term Care , New York City/epidemiology , SARS-CoV-2 , Nursing Homes
17.
Am J Geriatr Psychiatry ; 31(6): 456-461, 2023 06.
Article in English | MEDLINE | ID: covidwho-2233645

ABSTRACT

OBJECTIVE: We analyzed predictors of SARS-CoV-2 infection and COVID-19 death among residents of long-term care facilities (LTCFs) in Sweden for the pandemic year 2020 and its different waves. METHODS: The study included 99% of Swedish LTCF residents (N = 82,488). Information on COVID-19 outcomes, sociodemographic factors, and comorbidities were obtained from Swedish registers. Fully adjusted Cox regression models were used to analyze predictors of COVID-19 infection and death. RESULTS: For the entirety of 2020, age, male sex, dementia, cardiovascular-, lung-, and kidney disease, hypertension, and diabetes mellitus were predictors of COVID-19 infection and death. During 2020 and the two waves, dementia remained the strongest predictor of COVID-19 outcomes, with the strongest effect on death being among those aged 65-75 years. CONCLUSION: Dementia emerged as a consistent and potent predictor of COVID-19 death among Swedish residents of LTCFs in 2020. These results provide important information on predictors associated with negative COVID-19 outcomes.


Subject(s)
COVID-19 , Dementia , Male , Humans , COVID-19/epidemiology , Sweden/epidemiology , Long-Term Care/methods , SARS-CoV-2 , Dementia/epidemiology
18.
Open Forum Infect Dis ; 10(1): ofac694, 2023 Jan.
Article in English | MEDLINE | ID: covidwho-2222683

ABSTRACT

Background: Successive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have caused severe disease in long-term care facility (LTCF) residents. Primary vaccination provides strong short-term protection, but data are limited on duration of protection following booster vaccines, particularly against the Omicron variant. We investigated the effectiveness of booster vaccination against infections, hospitalizations, and deaths among LTCF residents and staff in England. Methods: We included residents and staff of LTCFs within the VIVALDI study (ISRCTN 14447421) who underwent routine, asymptomatic testing (December 12, 2021-March 31, 2022). Cox regression was used to estimate relative hazards of SARS-CoV-2 infection, and associated hospitalization and death at 0-13, 14-48, 49-83, 84-111, 112-139, and 140+ days after dose 3 of SARS-CoV-2 vaccination compared with 2 doses (after 84+ days), stratified by previous SARS-CoV-2 infection and adjusting for age, sex, LTCF capacity, and local SARS-CoV-2 incidence. Results: A total of 14 175 residents and 19 793 staff were included. In residents without prior SARS-CoV-2 infection, infection risk was reduced 0-111 days after the first booster, but no protection was apparent after 112 days. Additional protection following booster vaccination waned but was still present at 140+ days for COVID-associated hospitalization (adjusted hazard ratio [aHR], 0.20; 95% CI, 0.06-0.63) and death (aHR, 0.50; 95% CI, 0.20-1.27). Most residents (64.4%) had received primary course vaccine of AstraZeneca, but this did not impact pre- or postbooster risk. Staff showed a similar pattern of waning booster effectiveness against infection, with few hospitalizations and no deaths. Conclusions: Our findings suggest that booster vaccination provided sustained protection against severe outcomes following infection with the Omicron variant, but no protection against infection from 4 months onwards. Ongoing surveillance for SARS-CoV-2 in LTCFs is crucial.

19.
Journal of Long-Term Care ; 2022:298-311, 2022.
Article in English | Scopus | ID: covidwho-2218074

ABSTRACT

Context: Throughout the current COVID-19 pandemic, tremendous effort has been made to implement innovative practices to address social isolation and loneliness (SIL) in long-term care facilities (LTCFs), disproportionally affected by COVID-19. These interventions have not yet been synthesized. This review intended to gather the current promising best practices (PBPs) implemented in LTCFs to alleviate SIL in older persons during the COVID-19 pandemic as well as during the SARS and H1N1 pandemics, using an intersectional lens. Methods: An extensive search was done in nine electronic databases. Arksey and O'Malley's framework was used to format the scoping review. Two independent reviewers screened citations for inclusion, blindly. The selection of articles was conducted blindly by two coauthors. Finally, 16 studies were analyzed out of 9,077 records. Results: Two main themes of findings arose from this review. They comprised proximal PBPs directly addressing SIL in LTCF residents such as pseudo-contact interventions (e.g., chat from balcony or behind transparent barriers/glasses), remote communication tools (e.g., phone or video chat, voice mail/text messaging), and humanoid robots. Distal PBPs included measures implemented to prevent or mitigate the development of COVID-19, including COVID-19 screening approaches, outbreak preparedness, quarantining approaches for both residents and staff. Conclusion: This scoping review found varied PBP implemented during the multiple waves of the COVID-19 pandemic as well as evidence supporting their effectiveness. The contribution of this study is significant as most of the PBP investigated should be prioritized by public policymakers or institutions to provide more satisfactory services to the elderly and their families. © 2022 The Author(s).

20.
Age Ageing ; 52(1)2023 Jan 08.
Article in English | MEDLINE | ID: covidwho-2212703

ABSTRACT

BACKGROUND: Long-term care facilities (LTCFs) were high-risk settings for COVID-19 outbreaks. OBJECTIVE: To assess the impacts of the COVID-19 pandemic on LTCFs, including rates of infection, hospitalisation, case fatality, and mortality, and to determine the association between control measures and SARS-CoV-2 infection rates in residents and staff. METHOD: We conducted a systematic search of six databases for articles published between December 2019 and 5 November 2021, and performed meta-analyses and subgroup analyses to identify the impact of COVID-19 on LTCFs and the association between control measures and infection rate. RESULTS: We included 108 studies from 19 countries. These studies included 1,902,044 residents and 255,498 staff from 81,572 LTCFs, among whom 296,024 residents and 36,807 staff were confirmed SARS-CoV-2 positive. The pooled infection rate was 32.63% (95%CI: 30.29 ~ 34.96%) for residents, whereas it was 10.33% (95%CI: 9.46 ~ 11.21%) for staff. In LTCFs that cancelled visits, new patient admissions, communal dining and group activities, and vaccinations, infection rates in residents and staff were lower than the global rate. We reported the residents' hospitalisation rate to be 29.09% (95%CI: 25.73 ~ 32.46%), with a case-fatality rate of 22.71% (95%CI: 21.31 ~ 24.11%) and mortality rate of 15.81% (95%CI: 14.32 ~ 17.30%). Significant publication biases were observed in the residents' case-fatality rate and the staff infection rate, but not in the infection, hospitalisation, or mortality rate of residents. CONCLUSION: SARS-CoV-2 infection rates would be very high among LTCF residents and staff without appropriate control measures. Cancelling visits, communal dining and group activities, restricting new admissions, and increasing vaccination would significantly reduce the infection rates.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Long-Term Care , Pandemics/prevention & control , SARS-CoV-2 , Skilled Nursing Facilities
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