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Stretchers are commonly used for transporting cardiac arrest patients, but their use may be limited in confined spaces, like elevators. Use of transfer sheet as an alternative has not been explored. We aimed to compare manual chest compression quality between these two methods.

Aim To understand the impact of COVID‐19 on isolation bed capacity requirements, nursing workforce requirements and nurse:patient ratios. Background COVID‐19 created an increased demand for isolation beds and nursing workforce globally. Methods This was a retrospective review of bed capacity, bed occupancy and nursing workforce data from the isolation units of a tertiary hospital in Singapore from 23 January 2020 to 31 May 2020. R v4.0.1 and Tidyverse 1.3.0 library were used for data cleaning and plotly 4.9.2.1 library for data visualization. Results In January to March 2020, isolation bed capacity was low (=

Context Hospice care can be delivered in different settings, but many patients choose to receive it at home because of familiar surroundings. Despite their preferences, not every home hospice patient manages to die at home. Objective To examine the independent factors associated with home hospice patient dying at home. Methods Retrospective analysis of Hospice Care Association's database. Hospice Care Association is the largest home hospice provider in Singapore. The study included all patients who were admitted into home hospice service from January 1, 2004 to December 31, 2013. Cox proportional hazards modeling with time as constant was used to study the relationship between independent variables and home death. Results A total of 19,721 patients were included in the study. Females (adjusted risk ratio [ARR] 1.09, 95% CI 1.04–1.15), older patients (ARR 1.01, 95% CI 1.00–1.01), shorter duration of home hospice stay (ARR 0.88, 95% CI 0.82–0.94), fewer episodes of hospitalization (ARR 0.81, 95% CI 0.75–0.86), living with caregivers (ARR 1.54, 95% CI 1.05–2.26), doctor (ARR 1.05, 95% CI 1.01–1.08) and nurse (ARR 1.06, 95% CI 1.04–1.08) visits were positive predictors of dying-at-home. Diagnosis of cancer (ARR 0.93, 95% CI 0.86–1.00) was a negative predictor of dying-at-home. Conclusion Female, older age, living with a caregiver, non-cancer diagnosis, more doctor and nurse visits, shorter duration of home hospice stays, and fewer episodes of acute hospitalizations are predictive of dying-at-home for home hospice patients.