[Recommendations for the management of COVID-19 pandemic in long term care facilities].
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ABSTRACT:
SUBMITTER: Gosch M
PROVIDER: S-EPMC7814258 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Publications
[Recommendations for the management of COVID-19 pandemic in long term care facilities].
Gosch Markus M Heppner H J HJ Singler K K
MMW Fortschritte der Medizin 20210101 1
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Project description:BackgroundThe acute nature of COVID-19 and its effects on society in terms of social distancing and quarantine regulations affect the provision of palliative care for people with dementia who live in long-term care facilities. The current COVID-19 pandemic poses a challenge to nursing staff, who are in a key position to provide high-quality palliative care for people with dementia and their families.ObjectiveTo formulate practice recommendations for nursing staff with regard to providing palliative dementia care in times of COVID-19.Design and methodA rapid scoping review following guidelines from the Joanna Briggs Institute. Eligible papers focused on COVID-19 in combination with palliative care for older people or people with dementia and informed practical nursing recommendations for long-term care facilities. After data extraction, we formulated recommendations covering essential domains in palliative care adapted from the National Consensus Project's Clinical Practice Guidelines for Quality Palliative Care.Data sourcesWe searched the bibliographic databases of PubMed, CINAHL and PsycINFO for academic publications. We searched for grey literature using the search engine Google. Moreover, we included relevant letters and editorials, guidelines, web articles and policy papers published by knowledge and professional institutes or associations in dementia and palliative care.ResultsIn total, 23 documents (7 (special) articles in peer-reviewed journals, 6 guides, 4 letters to editors, 2 web articles (blogs), 2 reports, a correspondence paper and a position paper) were included. The highest number of papers informed recommendations under the domains 'advance care planning' and 'psychological aspects of care'. The lowest number of papers informed the domains 'ethical care', 'care of the dying', 'spiritual care' and 'bereavement care'. We found no papers that informed the 'cultural aspects of care' domain.ConclusionLiterature that focuses specifically on palliative care for people with dementia in long-term care facilities during the COVID-19 pandemic is still largely lacking. Particular challenges that need addressing involve care of the dying and the bereaved, and ethical, cultural and spiritual aspects of care. Moreover, we must acknowledge grief and moral distress among nursing staff. Nursing leadership is needed to safeguard the quality of care and nursing staff should work together within an interprofessional care team to initiate advance care planning conversations in a timely manner, to review and document advance care plans, and to adapt goals of care as they may change due to the COVID-19 situation. Tweetable abstract: The current COVID-19 pandemic affects people living with dementia, their families and their professional caregivers. This rapid scoping review searched for academic and grey literature to formulate practical recommendations for nursing staff working in long-term care facilities on how to provide palliative care for people with dementia in times of COVID-19. There is a particular need for grief and bereavement support and we must acknowledge grief and moral distress among nursing staff. This review exposes practice and knowledge gaps in the response to COVID-19 that reflect the longstanding neglect and weaknesses of palliative care in the long-term care sector. Nursing leadership is needed to safeguard the quality of palliative care, interprofessional collaboration and peer support among nursing staff.
| S-EPMC7526658 | biostudies-literature
Project description:BackgroundThe Texas Department of State Health Services (DSHS) Healthcare Safety Unit (HCSU) conducts remote infection control assessments (tele-ICARs) in long-term care facilities (LTCFs) to evaluate COVID-19 infection prevention and control (IPC) knowledge and practices using a standardized assessment tool. Tele-ICARs are used to gauge different IPC measures specific to SARS-CoV-2 and are either proactive--conducted prior to identified cases--or responsive to an outbreak, which is defined as a new SARS-CoV-2 infection in any staff or any facility-onset infection in a resident. State and local partners use findings from the assessments to aid LTCFs by providing targeted and timely resources and support to mitigate identified gaps.MethodsData from tele-ICARs conducted between March 1 and October 30, 2020 were analyzed to assess major gaps across LTCF types. A major gap was defined as 10% or more of facilities not satisfying a specific IPC measure, excluding missing data. Gaps were also assessed by tele-ICAR type: proactive or responsive. Fisher's exact tests and univariate logistic regression were used to characterize significant associations between major IPC gaps and LTCF or tele-ICAR type.ResultsDSHS conducted tele-ICARs in 438 LTCFs in Texas during 8 months; 191 were nursing homes/skilled nursing facilities (NH/SNFs), 206 were assisted living facilities (ALFs) and 41 were other settings. Of the assessments, 264 were proactive and 174 responsive. Major gaps identified were: (1) 22% did not have a preference for alcohol-based hand sanitizer (ABHS) over soap and water; (2) 18.1% were not aware of the contact time for disinfectants in use; (3) 17.9% had not stopped resident communal dining; (4) 16.8% did not audit hand hygiene and PPE compliance; and (5) 11.8% had not stopped inter-facility group activities and extra-facility field trips. When restricting analyses to proactive tele-ICARs, one additional gap was identified: 11.1% of facilities lacked a dedicated space to care for or cohort residents with confirmed SARS-CoV-2 infection. Significantly more ALFs than NH/SNFs had not suspended resident communal dining (P < .001) nor identified a dedicated space to cohort residents with confirmed SARS-CoV-2 infection (P < .001). Significantly more LTCFs that received a responsive ICAR compared to a proactive ICAR reported a preference for ABHS over soap and water (P = .008) and reported suspending communal dining (P < .001) and group activities (P < .001). Also, significantly more LTCFs that received a responsive ICAR compared to a proactive ICAR had identified a dedicated space to cohort residents with confirmed SARS-CoV-2 (P = .009).ConclusionsIncreased facility education and awareness of federal and state guidelines for group activities and communal dining is warranted in Texas, emphasizing the importance of social distancing for preventing the transmission of SARS-CoV-2 in LTCFs, particularly ALFs. CDC recommendations for ABHS versus hand washing should be emphasized, as well as the importance of monitoring and auditing HCP hand hygiene and PPE compliance. Facilities may benefit from additional education and resources about disinfection, to ensure proper selection of disinfectants and understanding of the contact time required for efficacy. Analysis by tele-ICAR type suggests facilities may benefit from identifying space for dedicated COVID-19 units in advance of an outbreak in their facility. Conducting tele-ICARs in LTCFs enables public health agencies to provide direct and individualized feedback to facilities and identify state-wide opportunities for effective interventions in response to SARS-CoV-2.
| S-EPMC9489257 | biostudies-literature
Project description: Not available
| S-EPMC7885630 | biostudies-literature
Project description:ObjectiveThe objective of this research was to explore the lived experiences of long-term care facilities' staff during the COVID-19 pandemic and examine if and how the pandemic played a role in their decision to leave their jobs.DesignQualitative study using thematic analysis of semistructured interviews. Interview transcripts were analysed using coding techniques based in grounded theory.ParticipantsA total of 29 staff with various roles across 21 long-term care facilities in 12 states were interviewed.ResultsThe pandemic influenced the staff's decision to leave their jobs in five different ways, namely: (1) It significantly increased the workload; (2) Created more physical and emotional hazards for staff; (3) Constrained the facilities and their staff financially; (4) Deteriorated morale and job satisfaction among the staff and (5) Increased concerns with upper management's commitment to both general and COVID-19-specific procedures.ConclusionsStaff at long-term care facilities discussed a wide variety of reasons for their decision to quit their jobs during the pandemic. Our findings may inform efforts to reduce the rate of turnover in these facilities.
| S-EPMC9755903 | biostudies-literature
Project description:BackgroundLong-term care facilities (LTCFs) are vulnerable to disease outbreaks. Here, we jointly analyze SARS-CoV-2 genomic and paired epidemiologic data from LTCFs and surrounding communities in Washington state (WA) to assess transmission patterns during 2020-2022, in a setting of changing policy. We describe sequencing efforts and genomic epidemiologic findings across LTCFs and perform in-depth analysis in a single county.MethodsWe assessed genomic data representativeness, built phylogenetic trees, and conducted discrete trait analysis to estimate introduction sizes over time, and explored selected outbreaks to further characterize transmission events.ResultsWe found that transmission dynamics among cases associated with LTCFs in WA changed over the course of the COVID-19 pandemic, with variable introduction rates into LTCFs, but decreasing amplification within LTCFs. SARS-CoV-2 lineages circulating in LTCFs were similar to those circulating in communities at the same time. Transmission between staff and residents was bi-directional.ConclusionsUnderstanding transmission dynamics within and between LTCFs using genomic epidemiology on a broad scale can assist in targeting policies and prevention efforts. Tracking facility-level outbreaks can help differentiate intra-facility outbreaks from high community transmission with repeated introduction events. Based on our study findings, methods for routine tree building and overlay of epidemiologic data for hypothesis generation by public health practitioners are recommended. Discrete trait analysis added valuable insight and can be considered when representative sequencing is performed. Cluster detection tools, especially those that rely on distance thresholds, may be of more limited use given current data capture and timeliness. Importantly, we noted a decrease in data capture from LTCFs over time. Depending on goals for use of genomic data, sentinel surveillance should be increased or targeted surveillance implemented to ensure available data for analysis.
| S-EPMC10789038 | biostudies-literature
Project description:BackgroundCoronavirus Disease 2019, COVID-19, a viral infection, responsible for the latest pandemic has been shown to particularly affect the older population. Older adults, those aged 65 years and older, and individuals with serious underlying medical conditions are at a higher risk for severe illness from COVID-19 with a greater likelihood for hospitalization, admittance to the intensive care unit (ICU), and mortality. In this article, we describe the incidence and mortality rate found in Long Term Care facilities (LTCFs) and delineate any variations observed across varying types of LTCFs in the state of Tennessee (TN).MethodsUsing aggregated data from the Tennessee (TN) Department of Health on COVID-19 Cases and Deaths from June 2020 to November 2021, we compare and contrast the incidence and fatality of COVID-19 among Long Term Care Facilities (LTCFs) in TN and describe the trends observed in these settings.ResultsOur study indicates that there were major variations in COVID-19 prevalence rates in Nursing Homes (NHs) - 49% versus Assisted Care Living Facilities (ACLFs) in TN -16%. Although COVID-19 prevalence rates differed for NH and ACLFs, 12% of infected residents died in NHs while 13% of infected residents died in ACLFs. (Odds Ratio [OR]: 1.08 95% Confidence Interval [CI]: 0.93 -1.3, z-score: 1.37, p value: 0.085). Cases were more prevalent in five counties namely Davidson, Shelby, Hamilton, Knox, and Rutherford, majority of which were Metropolitan.ConclusionAs new variants continue to appear, counties with higher prevalence of COVID-19 should take continued effort to protect both resident and staff members especially in NHs settings and Metropolitan cities, where prevalence rate of the illness is higher.
| S-EPMC10153592 | biostudies-literature
Project description:BackgroundLong-term care facilities (LTCFs) are vulnerable to outbreaks of coronavirus disease 2019 (COVID-19). Timely epidemiological surveillance is essential for outbreak response, but is complicated by a high proportion of silent (non-symptomatic) infections and limited testing resources.MethodsWe used a stochastic, individual-based model to simulate transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) along detailed inter-individual contact networks describing patient-staff interactions in a real LTCF setting. We simulated distribution of nasopharyngeal swabs and reverse transcriptase polymerase chain reaction (RT-PCR) tests using clinical and demographic indications and evaluated the efficacy and resource-efficiency of a range of surveillance strategies, including group testing (sample pooling) and testing cascades, which couple (i) testing for multiple indications (symptoms, admission) with (ii) random daily testing.ResultsIn the baseline scenario, randomly introducing a silent SARS-CoV-2 infection into a 170-bed LTCF led to large outbreaks, with a cumulative 86 (95% uncertainty interval 6-224) infections after 3 weeks of unmitigated transmission. Efficacy of symptom-based screening was limited by lags to symptom onset and silent asymptomatic and pre-symptomatic transmission. Across scenarios, testing upon admission detected just 34-66% of patients infected upon LTCF entry, and also missed potential introductions from staff. Random daily testing was more effective when targeting patients than staff, but was overall an inefficient use of limited resources. At high testing capacity (> 10 tests/100 beds/day), cascades were most effective, with a 19-36% probability of detecting outbreaks prior to any nosocomial transmission, and 26-46% prior to first onset of COVID-19 symptoms. Conversely, at low capacity (< 2 tests/100 beds/day), group testing strategies detected outbreaks earliest. Pooling randomly selected patients in a daily group test was most likely to detect outbreaks prior to first symptom onset (16-27%), while pooling patients and staff expressing any COVID-like symptoms was the most efficient means to improve surveillance given resource limitations, compared to the reference requiring only 6-9 additional tests and 11-28 additional swabs to detect outbreaks 1-6 days earlier, prior to an additional 11-22 infections.ConclusionsCOVID-19 surveillance is challenged by delayed or absent clinical symptoms and imperfect diagnostic sensitivity of standard RT-PCR tests. In our analysis, group testing was the most effective and efficient COVID-19 surveillance strategy for resource-limited LTCFs. Testing cascades were even more effective given ample testing resources. Increasing testing capacity and updating surveillance protocols accordingly could facilitate earlier detection of emerging outbreaks, informing a need for urgent intervention in settings with ongoing nosocomial transmission.
| S-EPMC7721547 | biostudies-literature
Project description:PurposeNursing homes and long-term care facilities have experienced severe outbreaks and elevated mortality rates of COVID-19. When available, vaccination at-scale has helped drive a rapid reduction in severe cases. However, vaccination coverage remains incomplete among residents and staff, such that additional mitigation and prevention strategies are needed to reduce the ongoing risk of transmission. One such strategy is that of "shield immunity", in which immune individuals modulate their contact rates and shield uninfected individuals from potentially risky interactions.MethodsHere, we adapt shield immunity principles to a network context, by using computational models to evaluate how restructured interactions between staff and residents affect SARS-CoV-2 epidemic dynamics.ResultsFirst, we identify a mitigation rewiring strategy that reassigns immune healthcare workers to infected residents, significantly reducing outbreak sizes given weekly testing and rewiring (48% reduction in the outbreak size). Second, we identify a preventative prewiring strategy in which susceptible healthcare workers are assigned to immunized residents. This preventative strategy reduces the risk and size of an outbreak via the inadvertent introduction of an infectious healthcare worker in a partially immunized population (44% reduction in the epidemic size). These mitigation levels derived from network-based interventions are similar to those derived from isolating infectious healthcare workers.ConclusionsThis modeling-based assessment of shield immunity provides further support for leveraging infection and immune status in network-based interventions to control and prevent the spread of COVID-19.
| S-EPMC9639409 | biostudies-literature
Project description:BackgroundLong-term care facilities (LTCFs) have been severely affected by the COVID-19 pandemic with serious consequences for the residents. Some LTCFs performed better than others, experiencing lower case and death rates due to COVID-19. A comprehensive understanding of the factors that have affected the transmission of COVID-19 in LTCFs is lacking, as no published studies have applied a multidimensional conceptual framework to evaluate the performance of LTCFs during the pandemic. Much research has focused on infection prevention and control strategies or specific disease outcomes (e.g., death rates). To address these gaps, our scoping review will identify and analyze the performance factors that have influenced the management of COVID-19 in LTCFs by adopting a multidimensional conceptual framework.MethodsWe will query the CINAHL, MEDLINE (Ovid), CAIRN, Science Direct, and Web of Science databases for peer-reviewed articles written in English or French and published between January 1, 2020 and December 31, 2021. We will include articles that focus on the specified context (COVID-19), population (LTCFs), interest (facilitators and barriers to performance of LTCFs), and outcomes (dimensions of performance according to a modified version of the Ministère de la santé et des services sociaux du Québec conceptual framework). Each article will be screened by at least two co-authors independently followed by data extraction of the included articles by one co-author and a review by the principal investigator.ResultsWe will present the results both narratively and with visual aids (e.g., flowcharts, tables, conceptual maps).DiscussionOur scoping review will provide a comprehensive understanding of the factors that have affected the performance of LTCFs during the COVID-19 pandemic. This knowledge can help inform the development of more effective infection prevention and control measures for future pandemics and outbreaks. The results of our review may lead to improvements in the care and safety of LTCF residents and staff. SCOPING REVIEW REGISTRATION: Research Registry researchregistry7026.
| S-EPMC9502645 | biostudies-literature
Project description: Not available
| S-EPMC7335658 | biostudies-literature