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.
METHODOLOGY: Data were obtained from a cross-sectional survey in ten different nursing homes in the state of Penang, Malaysia. Participants were selected through convenience sampling were interviewed face-to-face using a questionnaire. Information concerning demographic characteristics, fall risk and depression status were collected.
RESULTS: Of the 357-elderly aged 60 years and above interviewed in the nursing homes, 32.8% (n=354) reported having one or more falls in the past 12 months whereas 13.3% were at moderate/high risk of fall. Depression (Adjusted Odds Ratio (aOR)=1.71, 95%CI: 1.00 to 2.91) and respiratory illnesses (aOR=3.38, 95%CI: 1.11 to 10.30) were shown to be associated with prevalence of falls. Depression (aOR=2.12, 95%CI: 1.06 to 4.23) and history of fall more than once in the past 12 months (aOR=3.90, 95%CI: 1.72 to 8.8) were found to be associated with moderate/high risk of falls.
CONCLUSION: This study showed that the prevalence of fall was higher among depressed elderly and those with respiratory illness. Elderly with higher history of falls were also at higher risk of falls. These findings suggest the importance of screening the elderly for the risk factors of falls as a preventive measure.