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*

PURPOSE: Time-driven activity-based costing was applied to analyze the nursing activity cost and efficiency of a medical unit. METHODS: Data were collected at a medical unit of a general hospital. Nursing activities were measured using a nursing activities inventory and classified as 6 domains using Easley-Storfjell Instrument. Descriptive statistics were used to identify general characteristics of the unit, nursing activities and activity time, and stochastic frontier model was adopted to estimate true activity time. RESULTS: The average efficiency of the medical unit using theoretical resource capacity was 77%, however the efficiency using practical resource capacity was 96%. According to these results, the portion of non-added value time was estimated 23% and 4% each. The sums of total nursing activity costs were estimated 109,860,977 won in traditional activity-based costing and 84,427,126 won in time-driven activity-based costing. The difference in the two cost calculating methods was 25,433,851 won. CONCLUSION: These results indicate that the time-driven activity-based costing provides useful and more realistic information about the efficiency of unit operation compared to traditional activity-based costing. So time-driven activity-based costing is recommended as a performance evaluation framework for nursing departments based on cost management.
Costs and Cost Analysis ; Hospitals, General/economics ; Humans ; Internal Medicine/*economics ; Nursing Service, Hospital/*economics ; Task Performance and Analysis ; Time Factors

PURPOSE: The aim of this study was to analysize net income of a surgical nursing ward in a general hospital. METHOD: Data collection and analysis was conducted using a performance-based costing and activity-based costing method. RESULT: Direct nursing activities in the surgical ward were 68, indirect nursing activities were 10. The total cost volume of the surgical ward was calculated at won 119,913,334.5. The cost volume of the allocated medical department was won 91,588,200.3, and the ward consumed cost was won 28,325,134.2. The revenue of the surgical nursing ward was won 33,269,925.0. The expense of a surgical nursing ward was 28,325,134.2. Therefore, the net income of a surgical nursing ward was won 4,944,790.8. CONCLUSION: We suggest that to develop a more refined nursing cost calculation model, a standard nursing cost calculation system needs to be developed.
Costs and Cost Analysis ; General Surgery/*economics ; Hospitals, General/*economics ; Humans ; Nursing Service, Hospital/*economics ; Task Performance and Analysis

PURPOSE: The objective of our study was to figure out costs of nursing services in ICU based on the PCS in order to determine an appropriate nursing fee schedule. METHOD: Data was collected from 2 hospitals from April 15-16 to April 22-23, 2003. The costs of nursing services in the ICU were analyzed by nursing time based on the nursing intensity. The inpatients in the ICU were classified by a PCS tool developed by the Korean Clinical Nurses Association(2000). RESULTS: The distribution of patients by PCS in the ICU ranged from class IV to Class VI. The higher PCS in ICU consumed more nursing time. As a result, the higher nursing intensity, the more the daily average nursing costs in the ICU. CONCLUSION: Our study provides evidence to refine the current nursing fee schedule that does not differentiate from the volume of nursing services based on nursing time. We strongly recommend that the current reimbursement system for nursing services should be applied not only to the general nursing units but also to the ICU or other special nursing units.
Costs and Cost Analysis ; *Fee Schedules ; Humans ; Inpatients/*classification ; Intensive Care Units/*economics ; Nursing Service, Hospital/*economics ; Prospective Payment System ; Time Factors