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Aim and objective: To explore older people's initial experience of household isolation, social distancing and shielding, and the plans they constructed to support them through the COVID‐19 pandemic. Background: Public health guidance for those aged 70 or older was predominantly to undertake stringent social distancing within their household. Little is known about older people's experience of these measures. This paper explores changes experienced by those over the age of 70 during the first two weeks of household isolation, social distancing and shielding in the UK and the Republic of Ireland, and their early perceptions and plans to support them through the pandemic. Methods: An inductive phenomenological study. University staff posted the study invitation flyer on social media, such as WhatsApp neighbourhood groups, the Nextdoor App and Twitter. Qualitative semi‐structured interviews were undertaken with 19 participants and repeated at 2‐week intervals for 10 weeks; further data collection is still in progress. This paper presents the findings from the baseline interviews, which showed older peoples' early responses. The COREQ (COnsolidated criteria for REporting Qualitative research) checklist was adhered to in the reporting of this study. Results: Three themes emerged from older people's early experiences of social distancing: protective measures; current and future plans; and acceptance of a good life, but still a life to live. Conclusion: People over 70 adapted to household isolation, social distancing and shielding, by using social media and neighbourhood resources. Nurses and other professionals can develop holistic care for older people by listening to their experiences of what works for them, helping them link to local and distant supports. Understanding the holistic life view of older people, including death anxiety, is an important element of care planning; to help older people access the protective resources, they need to reduce the serious risks associated with coronavirus. Relevance to clinical practice: Older people engage with social media, and during the current pandemic and beyond nurses can engage with this medium to communicate with older people. The importance of nurses to understand some older people consider quality of life to be more important than longevity, which may impact on their adherence to health advice. [ABSTRACT FROM AUTHOR]

Background: The use of quality-adjusted life years rests on the assertion that the objective of the health care system is to improve health. Aim: To elicit the views of expert stakeholders on the purpose and evaluation of supportive end of life care, and explore how different purposes of end of life care imply the need for different evaluative frameworks. Design: Semi-structured qualitative interviews, analysed through an economic lens using a constant comparative approach. Participants: Twenty professionals working in or visiting the United Kingdom or Republic of Ireland, with clinical experience and/or working as academics in health-related disciplines. Results: Four purposes of end of life care were identified from and are critiqued with the aid of the qualitative data: to improve health, to enable patients to die in their preferred place, to enable the patient to experience a good death, and to enable the patient to experience a good death, and those who are close to the patient to have an experience which is as free as possible from fear, stress and distress. Conclusion: Managing symptoms and reducing anxiety were considered to be core objectives of end of life care and fit with the wider health service objective of improving/maximising health. A single objective across the entire health system ensures consistency in the way that resource allocation is informed across that entire system. However, the purpose of care at the end of life is more complex, encompassing diverse and patient-centred objectives which we have interpreted as enabling the patient to experience a good death. [ABSTRACT FROM AUTHOR]

Objectives Because of fundamental differences in healthcare systems, US readmission data cannot be extrapolated to the European setting: To investigate the opinions of readmitted patients, their carers, nurses and physicians on predictability and preventability of readmissions and using majority consensus to determine contributing factors that could potentially foresee (preventable) readmissions. Design Prospective observational study. Readmitted patients, their carers, and treating professionals were surveyed during readmission to assess the discharge process and the predictability and preventability of the readmission. Cohen's Kappa measured pairwise agreement of considering readmission as predictable/preventable by patients, carers and professionals. Subsequently, multivariable logistic regressionidentified factors associated with predictability/preventability. Setting 15 hospitals in four European countries Participants 1398 medical patients readmitted unscheduled within 30 days Main Outcome(s) and Measure(s) (1) Agreement between the interviewed groups on considering readmissions likely predictable or preventable;® Factors distinguishing predictable from non-predictable and preventable from non-preventable readmissions. Results The majority deemed 27.8% readmissions potentially predictable and 14.4% potentially preventable. The consensus on predictability and preventability was poor, especially between patients and professionals (kappas ranged from 0.105 to 0.173). The interviewed selected different factors as potentially associated with predictability and preventability. When a patient reported that he was ready for discharge during index admission, the readmission was deemed less likely by the majority (predictability: OR 0.55; 95% CI 0.40 to 0.75; preventability: OR 0.35; 95% CI 0.24 to 0.49). Conclusions There is no consensus between readmitted patients, their carers and treating professionals about predictability and preventability of readmissions, nor associated risk factors. A readmitted patient reporting not feeling ready for discharge at index admission was strongly associated with preventability/predictability. Therefore, healthcare workers should question patients' readiness to go home timely before discharge. [ABSTRACT FROM AUTHOR]