INTRODUCTION: Hospitalisations can pose hazards and may not be an appropriate care setting for frail nursing home (NH) residents. Few studies have quantified the extent of NH resident hospitalisations in Singapore, hence we aimed to address this knowledge gap by studying characteristics of unplanned hospitalisations over a 1-year period. METHOD: This was a retrospective cohort study of 9922 subsidised residents across 59 NHs in Singapore, with analysis using administrative healthcare data. Key measures included inpatient admission and emergency department visit rates, final discharge diagnoses and estimated costs. We examined correlates of inpatient admissions with a multivariable zero-inflated negative binomial regression model incorporating demogra-phics, institutional characteristics and Charlson Comorbidity Index. RESULTS: There were 6620 inpatient admissions in 2015, equivalent to 2.23 admissions per 1000 resident days, and the majority were repeat admissions (4504 admissions or 68.0%). Male sex (incidence rate ratio [IRR] 1.23), approaching end-of-life (IRR 2.14), hospitalisations in the past year (IRR 2.73) and recent NH admission within the last 6 months (IRR 1.31-1.99) were significantly associated with inpatient admission rate. Top 5 discharge diagnoses were lower respiratory tract infections (27.3%), urinary tract infection (9.3%), sepsis (3.1%), cellulitis (1.9%) and gastroenteritis (1.1%). We estimated the total system cost of admissions of subsidised residents to be SGD40.2 million (USD29.1 million) in 2015. CONCLUSION We anticipate that unplanned hospitali-sation rate will increase over time, especially with an increasing number of residents who will be cared for in NHs. Our findings provide a baseline to inform stakeholders and develop strategies to address this growing problem.
Humans ; Singapore ; Nursing Homes/economics* ; Retrospective Studies ; Male ; Female ; Hospitalization/statistics & numerical data* ; Aged ; Aged, 80 and over ; Emergency Service, Hospital/statistics & numerical data* ; Information Storage and Retrieval ; Homes for the Aged/economics* ; Frail Elderly/statistics & numerical data*

INTRODUCTION: The COVID-19 pandemic has brought about multiple losses to various groups, namely patients, families and healthcare professionals. Grief, which is the reaction to these losses, could cause strain on these individuals' physical and mental health if not identified and managed early. This scoping review analysed loss, grief and how they were managed among these groups during the pandemic. METHOD: This scoping review utilised the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement extension for Scoping Reviews (PRISMA-ScR) and the Joanna Briggs Institute framework for scoping reviews. Only qualitative studies relating to loss and grief and their management were included. Of 166 studies screened, 69 were included in the study. Qualitative analysis and data coding of each record were conducted through qualitative data analysis software. RESULTS: Losses included the death of family members, patients, colleagues and others. They also included the loss of usual routines, lifestyles and physical health. The grief experienced was multidimensional, affecting mainly the emotional, physical, social and existential realms. Anger, guilt and fear resulted from unsatisfactory farewells, issues with funerals, social isolation, financial strain and stigmatisation. Management strategies could be categorised into 5 themes: communication, finance, counselling, education and spiritual care. CONCLUSION Loss and grief identification and management among patients, family members and healthcare professionals are critically important during this COVID-19 pandemic. Current operating guidelines have proven insufficient in managing loss and grief. Innovative strategies are essential to tackle the many dimensions of loss and grief. Nevertheless, further research is necessary to better understand the effectiveness of implemented policies.
Humans ; COVID-19 ; Grief ; Health Personnel ; Pandemics ; Qualitative Research

Advance Care Planning ; ethics ; legislation & jurisprudence ; Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Decision Making ; ethics ; Female ; Humans ; Male ; Middle Aged ; Patient Preference ; statistics & numerical data ; Risk Assessment ; Singapore ; Terminal Care ; ethics ; methods ; Third-Party Consent ; ethics ; legislation & jurisprudence