COVID-19 Prevention Assessments: A Promising Tool for Preventing Outbreaks in Long-Term Care Homes.
Ontology highlight
ABSTRACT:
SUBMITTER: Bharmal A
PROVIDER: S-EPMC8372522 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:We introduce evidence that for-profit long-term-care providers are associated with less successful outcomes in coronavirus disease 2019 outbreak management. We introduce two sets of theoretical arguments that predict variation in service quality by provider type: those that deal with the institution of contracting (innovative competition vs. erosive competition) and those that address organizational features of for-profit, non-profit, and government actors (profit seeking, cross-subsidization, and future investment). We contextualize these arguments through a discussion of how contracting operates in Ontario long-term care. That discussion leads us to exclude the institutional arguments while retaining the arguments about organizational features as our three hypotheses. Using outbreak data as of February 2021, we find that government-run long-term-care homes surpassed for-profit and non-profit homes in outbreak management, consistent with an earlier finding from Stall et al. (2020). Non-profit homes outperform for-profit homes but are outperformed by government-run homes. These results are consistent with the expectations derived from two theoretical arguments-profit seeking and cross-subsidization-and inconsistent with a third-capacity for future investment.
| S-EPMC9400825 | biostudies-literature
Project description:Diagnostic difficulties may have led to underestimation of rhinovirus infections in long-term care facilities. Using surveillance data, we found that rhinovirus caused 59% (174/297) of respiratory outbreaks in these facilities during 6 months in 2009. Disease was sometimes severe. Molecular diagnostic testing can differentiate these outbreaks from other infections such as influenza.
| S-EPMC3294989 | biostudies-literature
Project description:Long-term care residents with suspected fractures as a result of a fall typically transfer to the emergency department (ED) for diagnostic imaging and care. During the COVID-19 pandemic, transfer to the hospital increased the risk of COVID-19 exposure and resulted in extended isolation days for the resident. A fracture care pathway was developed and implemented to provide rapid diagnostic imaging results and stabilization in the care home, reducing transportation and exposure risk to COVID-19. Eligible residents with a stable fracture would receive a referral to a designated fracture clinic for consultation; fracture care is provided in the care home by long-term care staff. Evaluation of the pathway was completed and demonstrated that 100% of residents did not transfer to the ED and 47% of the residents did not transfer to a fracture clinic for additional care.
| S-EPMC9974357 | biostudies-literature
Project description:BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in nursing homes and long-term care (LTC) facilities. Symptoms-based screening and manual contact tracing have limitations that render them ineffective for containing the viral spread in LTC facilities. Symptoms-based screening alone cannot identify asymptomatic people who are infected, and the viral spread is too fast in confined living quarters to be contained by slow manual contact tracing processes.ObjectiveWe describe the development of a digital contact tracing system that LTC facilities can use to rapidly identify and contain asymptomatic and symptomatic SARS-CoV-2 infected contacts. A compartmental model was also developed to simulate disease transmission dynamics and to assess system performance versus conventional methods.MethodsWe developed a compartmental model parameterized specifically to assess the coronavirus disease (COVID-19) transmission in LTC facilities. The model was used to quantify the impact of asymptomatic transmission and to assess the performance of several intervention groups to control outbreaks: no intervention, symptom mapping, polymerase chain reaction testing, and manual and digital contact tracing.ResultsOur digital contact tracing system allows users to rapidly identify and then isolate close contacts, store and track infection data in a respiratory line listing tool, and identify contaminated rooms. Our simulation results indicate that the speed and efficiency of digital contact tracing contributed to superior control performance, yielding up to 52% fewer cases than conventional methods.ConclusionsDigital contact tracing systems show promise as an effective tool to control COVID-19 outbreaks in LTC facilities. As facilities prepare to relax restrictions and reopen to outside visitors, such tools will allow them to do so in a surgical, cost-effective manner that controls outbreaks while safely giving residents back the life they once had before this pandemic hit.
| S-EPMC7451111 | biostudies-literature
Project description:Outbreaks of influenza-like illness (ILI) are common in long-term care facilities (LTCFs) and result in significant morbidity and mortality among residents.We describe patterns of reported ILI outbreaks in LTCFs in Winnipeg, Canada, and examine LTCF and outbreak characteristics that influence the clinical outcomes of these outbreaks.We analyzed the electronic records of all ILI outbreaks reported by LTCFs in Winnipeg from 2003 to 2011. Outbreak duration, ILI attack rates among staff and residents, and residents' death rates were calculated by presumed viral etiology, staff vaccination rates, type of influenza chemoprophylaxis used, and time to notification to public health.Of a total of 154 reported outbreaks, most (N=80) were attributed to influenza, and these outbreaks tended to have higher attack and death rates among LTCF residents compared with outbreaks caused by other respiratory viruses (12) or those of unknown etiology (62). About 92% of residents and 38% of staff of the average LTCFs were vaccinated. Chemoprophylaxis was used in 57·5% of influenza outbreaks. Regardless of presumed viral etiology, outbreaks reported within 3 days of onset ended sooner and had lower attack and mortality rates among residents.Influenza-like illness outbreaks still occur among highly immunized LTCF residents, so in addition to vaccination of staff and residents, it is important to maintain competent infection control practices. Early identification and notification to public health authorities and possibly early initiation of control measures could improve clinical outcomes of ILI outbreaks.
| S-EPMC4634272 | biostudies-other
Project description:IntroductionPrior to the COVID-19 pandemic, social isolation and loneliness (SIL) affected at least one-third of the older people. The pandemic has prompted governments around the world to implement some extreme measures such as banning public gatherings, imposing social distancing, mobility restrictions and quarantine to control the spread and impact of the novel coronavirus. Though these unprecedented measures may be crucial from a public health perspective, they also have the potential to further exacerbate the problems of SIL among residents in long-term care homes (LTCHs). However, some LTCHs have developed promising best practices (PBPs) to respond to the current situation and prepare for future pandemics. Key aspects of such practices revolve around maintaining and strengthening social connections between residents and their families which helps to reduce SIL. This scoping review looks at existing PBPs that have been implemented to reduce SIL among LTCH residents during the most recent pandemics.Methods and analysisWe will follow Arksey and O'Malley's framework of scoping review, further developed by Levac et al. In addition, we will also apply the Joanna Briggs Institute Reviewers' 'Methodology for Scoping Reviews'. Ten electronic databases and grey literature will be searched for articles published from January 2003 to March 2021 in either English or French. Two reviewers will independently screen titles and abstracts and then full texts for final inclusion. Data will be extracted using a standardised form from 'Evidence for Policy and Practice Information'. The results will be presented in a tabular form and will be summarised and interpreted using a narrative synthesis.Ethics and disseminationFormal ethical approval is not required as no primary data are collected. Findings will be used to develop a solid knowledge corpus to address the challenges of SIL in LTCHs. Our findings will help to identify cutting edge practices, including technological interventions that could support health services in addressing SIL in the context of LTCHs and our ageing society.
| S-EPMC8724591 | biostudies-literature
Project description:OBJECTIVES:To assess the association between having suffered a fall in the month prior to interview and long-term overall survival in nursing-home residents. METHODS:Retrospective cohort study conducting an overall survival follow-up of 689 representative nursing-home residents from Madrid, Spain. Residents lived in three types of facilities: public, subsidized and private and its information was collected by interviewing the residents, caregivers and/or facility physicians. Residents contributed to follow-up time from their baseline interviews until death or being censored at the end of the 5-year follow-up period. The association between suffering a fall during the month prior to interview and long-term overall survival was analyzed using Cox proportional hazards models. To adjust for potential confounders we used progressive adjusted models. We then repeated the analyses with severity of the fall (no fall, non-severe, severe) as the main independent variable. RESULTS:After a 2408 person-year follow-up (median 4.5 years), 372 participants had died. In fully-adjusted models, residents who had suffered any kind of fall in the previous month showed virtually the same survival rates compared to non-fallers (hazard ratio (HR) = 1.03; 95% CI = 0.75-1.40). There was a weak graded relationship between increased fall severity and survival rates for the non-severe fall group (HR = 0.92; 95% CI = 0.58-1.45) and the severe fall group (HR = 1.36; 95% CI = 0.73-2.53) compared with residents who had not suffered any kind of fall. The hazard ratios for severe falls were higher in men, residents with less comorbidity, fewer medications, and those functionally independent. CONCLUSION:We found no associations between having suffered a fall in the month prior to interview and long-term survival; neither did we find a marked association when severity of fall was accounted for in the whole population. In some subgroups, however, the results merit further scrutiny.
| S-EPMC7205288 | biostudies-literature
Project description:Long-term care facility (LTCF) residents are at particularly high risk for morbidity and mortality associated with infection with SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), given their age and high prevalence of chronic medical conditions, combined with functional impairment that often requires frequent, close contact with health care providers, who might inadvertently spread the virus to residents (1,2). During March-May 2020 in Fulton County, Georgia, >50% of COVID-19-associated deaths occurred among LTCF residents, although these persons represented <1% of the population (3,4). Mass testing for SARS-CoV-2 has been an effective strategy for identifying asymptomatic and presymptomatic infections in LTCFs (5). This analysis sought to evaluate the timing at which mass testing took place in relation to the known presence of a COVID-19 infection and the resulting number of infections that occurred. In 15 LTCFs that performed facility-wide testing in response to an identified case, high prevalences of additional cases in residents and staff members were found at initial testing (28.0% and 7.4%, respectively), suggesting spread of infection had already occurred by the time the first case was identified. Prevalence was also high during follow-up, with a total of 42.4% of residents and 11.8% of staff members infected overall in the response facilities. In comparison, 13 LTCFs conducted testing as a preventive strategy before a case was identified. Although the majority of these LTCFs identified at least one COVID-19 case, the prevalence was significantly lower at initial testing in both residents and staff members (0.5% and 1.0%, respectively) and overall after follow-up (1.5% and 1.7%, respectively). These findings indicate that early awareness of infections might help facilities prevent potential outbreaks by prioritizing and adhering more strictly to infection prevention and control (IPC) recommendations, resulting in fewer infections than would occur when relying on symptom-based screening (6,7).
| S-EPMC7498169 | biostudies-literature
Project description:BackgroundImproving the quality and safety of care transitions is a priority in many countries. Carrying out performance measurements play a significant role in improving quality of decisions undertaken by different actors involved in reforms. Therefore, the main objective of this paper is to present the development of an evaluation tool for assessing the performance of long-term care systems in relation to care transition, namely the Transitional Care Assessment Tool in Long-Term Care (TCAT-LTC). This study is performed as part of a larger European TRANS-SENIOR project.MethodsThe development of the TCAT-LTC involved three steps. First, we developed a conceptual model based on Donabedian's quality framework and literature review. Second, we carried out a thorough process of item pool generation using deductive (systematic literature review) and deductive-inductive methods (in-depth interviews) with experts in the field of long-term care. Third, we conducted preliminary validation of the tool by asking experts in research and practice to provide an opinion on a tool and to assess content validity. Future fourth step will involve a tool's pilot with country experts from Germany, the Netherlands and Poland.ResultsBy applying methodological triangulation, we developed the TCAT-LTC, which consists of 2 themes, 12 categories and 63 items. Themes include organizational and financial aspects. Organizational aspects include categories such as communication, transfer of information, availability and coordination of resources, training and education of staff, education/support of the patient/informal caregiver, involvement of the patient/informal caregiver, telemedicine and e-Health, and social care. Financial aspects include categories such as primary care, hospital, and long-term care. We also present the instructions on the application of the TCAT-LTC.ConclusionsIn this paper, we presented the development of the TCAT-LTC evaluation tool for assessing the performance of long-term care systems in relation to care transition. The TCAT-LTC is the first tool to assess the performance of long-term care systems in relation to care transition. Assessments can be carried out at the national and international level and enable to monitor, evaluate, and compare performance of the long-term care systems in relation to care transition within and across countries.
| S-EPMC10662551 | biostudies-literature
Project description: Not available
| S-EPMC6478111 | biostudies-literature