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Introduction: Depression in the elderly is a major public health issue. Socioeconomic status (SES) and social support are strong risk factors for depression. This study aimed to investigate the influence of SES and social support in elderly depression, and the modifying effect of social support on the relationship between SES and depression. Materials and Methods: A community-based survey was conducted on residents ≥60 years old. Depressive symptoms were determined with scores ≥5 using the 15-item Geriatric Depression Scale (GDS). Multivariable logistic regression was performed to determine the odds ratio (OR) of depressive symptoms with respect to SES and social support, and interaction terms between the two variables. Results: Of 2447 responses analysed, 188 (7.8%) respondents had depressive symptoms. Living in 2-room housing, living alone/with a domestic helper, infrequent leisure time with children/grandchildren or being childless, and feeling socially isolated were independently associated with depressive symptoms. Relative to residents living with spouse and children in 4-/5-room housing, the highest ORs for depressive symptoms were those living with spouse and children in 2-room (OR: 3.06, P

Introduction: This study determines the extent of, and factors associated with, delayed discharges for stroke patients from inpatient rehabilitation. Materials and Methods: A retrospective cohort study utilising medical notes review was conducted at an inpatient rehabilitation centre in Singapore. Acute stroke patients (n = 487) admitted between March 2005 and December 2006 were studied. The primary measure was delayed discharge defi ned as an extension in inpatient stay beyond the planned duration. Factors associated with delays in discharge were categorised as individual, caregiver, medical and organisational. Results: There were a total of 172 delayed discharges (35.6%). The mean [standard deviation (SD)] length of stay was 40.5 days (SD, 19.5 days) and 25.8 days (SD, 11.4 days) for patients with delayed and prompt discharges, respectively. Mean extension of stay was 9.7 days (SD, 13.8 days). Caregiver-related reasons were cited for 79.7% of the delays whereas organisational factors (awaiting nursing home placement, investigations or specialist appointments) accounted for 17.4%. Four factors were found to be independently associated with delayed discharge: discharge to the care of foreign domestic helper, nursing home placement, lower admission Functional Independence Measure (FIM) motor score and discharge planning process. Conclusions: Our study suggests that caregiver and organisational factors were main contributors of delayed discharge. Targeted caregiver training and the provision of post-discharge support may improve the confidence of caregivers of patients with greater motor disability. The use of structured discharge planning programmes may improve the efficiency of the rehabilitation service. To reduce delays, problems with the supply of formal and informal post-discharge care must also be addressed. Key words: Caregiver, Discharge planning, Length of stay, Nursing home

Introduction: This paper aims to illustrate the use of computer simulation in evaluating the impact of a prototype automated dispensing system on waiting time in an outpatient pharmacy and its potential as a routine tool in pharmacy management. Materials and Methods: A discrete event simulation model was developed to investigate the impact of a prototype automated dispensing system on operational efficiency and service standards in an outpatient pharmacy. Results: The simulation results suggest that automating the prescription-filing function using a prototype that picks and packs at 20 seconds per item will not assist the pharmacy in achieving the waiting time target of 30 minutes for all patients. Regardless of the state of automation, to meet the waiting time target, 2 additional pharmacists are needed to overcome the process bottleneck at the point of medication dispense. However, if the automated dispensing is the preferred option, the speed of the system needs to be twice as fast as the current configuration to facilitate the reduction of the 95th percentile patient waiting time to below 30 minutes. The faster processing speed will concomitantly allow the pharmacy to reduce the number of pharmacy technicians from 11 to 8. Conclusion: Simulation was found to be a useful and low cost method that allows an otherwise expensive and resource intensive evaluation Key words: Automation, Dispensing, Manpower, Outpatient Pharmacy, Simulation model- ling, Waiting time