Access to care: age as a criterion of exclusion? The explicit and tacit forms of ethical recommendations in the COVID era

The allocation of resources and the choices involved in such decisions is an ongoing issue in healthcare. But the COVID crisis boosted the visibility of this subject while exacerbating it, since a central concern of the epidemic was the vital issue of access to intensive care. With the prospect of a highly serious risk of shortage, the fate of elderly patients immediately became a key aspect. In particular, the question was asked if age could be a criterion from excluding individuals from intensive care units. In France, the answer to this question was overwhelmingly "No". Contrary to other countries, France refused to set a threshold age for access to intensive care. Supporting this decision, administrative authorities and learned societies issued numerous recommendations reasserting ethical principles based on equality, dignity and social justice. These texts gave the impression of continuity despite the crisis. Relating in varying degrees to the seting of standards - the recommendations all strove to guide the behaviour of the various medical decision-makers -, this corpus deserves to be studied from a legal standpoint with a view to identifying principles that come under pressure in crisis situations such as the COVID pandemic. Because while the texts conscientiously reminded readers that discriminating on the basis of age is forbidden, an indirect discrimination based on exactly that criterion can be read between the lines. And while age is combined with other specific situations or characteristics (with a thought for the residents of retirement homes), these texts can even lead to the true exclusion of the most vulnerable individuals from the general healthcare system. © 2022 Dares. All rights reserved.

Protecting Older Adult Residents in Care Facilities Against Influenza and COVID-19 Using the Influenza Communication, Advice and Reporting (FluCARE) App: Prospective Cohort Mixed Methods Study.

BACKGROUND: Early detection and response to influenza and COVID-19 outbreaks in aged care facilities (ACFs) are critical to minimizing health impacts. The Sydney Local Health District (SLHD) Public Health Unit (PHU) has developed and implemented a novel web-based app with integrated functions for online line listings, detection algorithms, and automatic notifications to responders, to assist ACFs in outbreak response. The goal of the Influenza Outbreak Communication, Advice and Reporting (FluCARE) app is to reduce time delays to notifications, which we hope will reduce the spread, duration, and health impacts of an influenza or COVID-19 outbreak, as well as ease workload burdens on ACF staff. OBJECTIVE: The specific aims of the study were to (1) evaluate the acceptability and user satisfaction of the implementation and use of FluCARE in helping ACFs recognize, notify, and manage influenza and COVID-19 outbreaks in their facility; (2) identify the safety of FluCARE and any potential adverse outcomes of using the app; and (3) identify any perceived barriers or facilitators to the implementation and use of FluCARE from the ACF user perspective. METHODS: The FluCARE app was piloted from September 2019 to December 2020 in the SLHD. Associated implementation included promotion and engagement, user training, and operational policies. Participating ACF staff were invited to complete a posttraining survey. Staff were also invited to complete a postpilot evaluation survey that included the user Mobile Application Rating Scale (uMARS) measuring app acceptance, utility, and barriers and facilitators to use. An issues log was also prospectively maintained to assess safety. Survey data were analyzed descriptively or via content analysis where appropriate. RESULTS: Surveys were completed by 31 consenting users from 27 ACFs. FluCARE was rated 3.91 of 5 overall on the uMARS. Of the 31 users, 25 (80%) would definitely use FluCARE for future outbreaks, and all users agreed that the app was useful for identifying influenza and COVID-19 outbreaks at their facilities. There were no reported critical issues with incorrect or missed outbreak detection. User training, particularly online training modules, and technical support were identified as key facilitators to FluCARE use. CONCLUSIONS: FluCARE is an acceptable, useful, and safe app to assist ACF staff with early detection and response to influenza and COVID-19 outbreaks. This study supports feasibility for ongoing implementation and efficacy evaluation, followed by scale-up into other health districts in New South Wales.

COVID-19 Cases Among Congregate Care Facility Staff by Neighborhood of Residence and Social and Structural Determinants: Observational Study.

BACKGROUND: Disproportionate risks of COVID-19 in congregate care facilities including long-term care homes, retirement homes, and shelters both affect and are affected by SARS-CoV-2 infections among facility staff. In cities across Canada, there has been a consistent trend of geographic clustering of COVID-19 cases. However, there is limited information on how COVID-19 among facility staff reflects urban neighborhood disparities, particularly when stratified by the social and structural determinants of community-level transmission. OBJECTIVE: This study aimed to compare the concentration of cumulative cases by geography and social and structural determinants across 3 mutually exclusive subgroups in the Greater Toronto Area (population: 7.1 million): community, facility staff, and health care workers (HCWs) in other settings. METHODS: We conducted a retrospective, observational study using surveillance data on laboratory-confirmed COVID-19 cases (January 23 to December 13, 2020; prior to vaccination rollout). We derived neighborhood-level social and structural determinants from census data and generated Lorenz curves, Gini coefficients, and the Hoover index to visualize and quantify inequalities in cases. RESULTS: The hardest-hit neighborhoods (comprising 20% of the population) accounted for 53.87% (44,937/83,419) of community cases, 48.59% (2356/4849) of facility staff cases, and 42.34% (1669/3942) of other HCW cases. Compared with other HCWs, cases among facility staff reflected the distribution of community cases more closely. Cases among facility staff reflected greater social and structural inequalities (larger Gini coefficients) than those of other HCWs across all determinants. Facility staff cases were also more likely than community cases to be concentrated in lower-income neighborhoods (Gini 0.24, 95% CI 0.15-0.38 vs 0.14, 95% CI 0.08-0.21) with a higher household density (Gini 0.23, 95% CI 0.17-0.29 vs 0.17, 95% CI 0.12-0.22) and with a greater proportion working in other essential services (Gini 0.29, 95% CI 0.21-0.40 vs 0.22, 95% CI 0.17-0.28). CONCLUSIONS: COVID-19 cases among facility staff largely reflect neighborhood-level heterogeneity and disparities, even more so than cases among other HCWs. The findings signal the importance of interventions prioritized and tailored to the home geographies of facility staff in addition to workplace measures, including prioritization and reach of vaccination at home (neighborhood level) and at work.

Implementing Technology Literacy Programs in Retirement Homes and Residential Care Facilities: Conceptual Framework.

BACKGROUND: The COVID-19 pandemic caused widespread societal disruption, with governmental stay-at-home orders resulting in people connecting more via technology rather than in person. This shift had major impacts on older adult residents staying in retirement homes and residential care facilities, where they may lack the technology literacy needed to stay connected. The enTECH Computer Club from the University of Waterloo in Ontario, Canada created a knowledge translation toolkit to support organizations interested in starting technology literacy programs (TLPs) by providing guidance and practical tips. OBJECTIVE: This paper aimed to present a framework for implementing TLPs in retirement homes and residential care facilities through expanding on the knowledge translation toolkit and the framework for person-centered care. METHODS: Major concepts relating to the creation of a TLP in retirement homes and residential care facilities were extracted from the enTECH knowledge translation toolkit. The domains from the framework for person-centered care were modified to fit a TLP context. The concepts identified from the toolkit were sorted into the three framework categories: "structure," "process," and "outcome." Information from the knowledge translation toolkit were extracted into the three categories and synthesized to form foundational principles and potential actions. RESULTS: All 13 domains from the framework for person-centered care were redefined to shift the focus on TLP implementation, with 7 domains under "structure," 4 domains under "process," and 2 domains under "outcome." Domains in the "structure" category focus on developing an organizational infrastructure to deliver a successful TLP; 10 foundational principles and 25 potential actions were identified for this category. Domains in the "process" category focus on outlining procedures taken by stakeholders involved to ensure a smooth transition from conceptualization into action; 12 foundational principles and 9 potential actions were identified for this category. Domains in the "outcome" category focus on evaluating the TLP to consider making any improvements to better serve the needs of older adults and staff; 6 foundational principles and 6 potential actions were identified for this category. CONCLUSIONS: Several domains and their foundational principles and potential actions from the TLP framework were found to be consistent with existing literatures that encourage taking active steps to increase technology literacy in older adults. Although there may be some limitations to the components of the framework with the current state of the pandemic, starting TLPs in the community can yield positive outcomes that will be beneficial to both older adult participants and the organization in the long term.

Prolonged SARS-CoV-2 RNA Shedding from Therapy Cat after Cluster Outbreak in Retirement Home.

We report a therapy cat in a nursing home in Germany infected with severe acute respiratory syndrome coronavirus 2 during a cluster outbreak in the home residents. Although we confirmed prolonged presence of virus RNA in the asymptomatic cat, genome sequencing showed no further role of the cat in human infections on site.