Humans ; Patient Discharge ; Patient Readmission ; Risk Factors ; Technology

INTRODUCTIONElectronic prescribing has been proposed as an important strategy to reduce medication errors, improve the quality of patient care and create savings in health care costs. Despite these potential advantages, user satisfaction plays a significant role in the success of its implementation. Hence, this study aims to examine users' satisfaction and factors associated with satisfaction regarding an electronic prescription system implemented in the National Healthcare Group Polyclinics in Singapore.

MATERIALS AND METHODSAn anonymous survey was administered in October 2007 to all physicians, pharmacists and pharmacy technicians working in the 9 National Healthcare Group Polyclinics.

RESULTSRespondents included 118 doctors and 61 pharmacy staff. The overall level of satisfaction with electronic prescribing was high. Doctors and pharmacists reported a high degree of agreement that electronic prescribing reduces prescribing errors and interventions, and they did not want to go back to the paper-based system. Users were generally satisfied with the functionality of the system but there was some degree of workflow interference particularly for the pharmacy staff. Only 56.9% of the pharmacy respondents expressed satisfaction with the review function of the electronic prescription system and only 51.8% and 60% were satisfied when processing prescriptions that included items to be purchased from an external pharmacy or prescriptions with amendments. The results also revealed that satisfaction with the system was more associated with users' perceptions about the electronic prescription system's impact on productivity than quality of care.

CONCLUSIONThe survey results indicate that the implementation of the electronic prescription system has gone reasonably well. The survey findings provide opportunities for system and workflow enhancement, which is important as these issues could affect the acceptability of a new technology and the speed of diffusion within an organisation.

Consumer Behavior ; Cross-Sectional Studies ; Diffusion of Innovation ; Electronic Prescribing ; Health Care Surveys ; Humans ; Medical Order Entry Systems ; Pharmaceutical Services ; Pharmacists ; psychology ; Physicians ; psychology ; Singapore

INTRODUCTIONThis study determines the extent of, and factors associated with, delayed discharges for stroke patients from inpatient rehabilitation.

MATERIALS AND METHODSA 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 defined as an extension in inpatient stay beyond the planned duration. Factors associated with delays in discharge were categorised as individual, caregiver, medical and organisational.

RESULTSThere 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.

CONCLUSIONSOur 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.

Aged ; Cohort Studies ; Female ; Humans ; Male ; Middle Aged ; Patient Discharge ; Rehabilitation Centers ; Retrospective Studies ; Singapore ; Stroke Rehabilitation

INTRODUCTIONDepression 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 METHODSA 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.

RESULTSOf 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<0.05), followed by living with children only in 3-room (OR: 2.98, P<0.05), and living alone/with a domestic helper in 4-/5-room (OR: 2.73, P<0.05). Living with spouse only appears to buffer against depressive symptoms across socioeconomic classes, although the effect was not statistically significant.

CONCLUSIONLow social support and low SES significantly increased the odds of depressive symptoms. The moderating effect of social support on depression was however not consistent across SES groups. Specific interventions need to target different SES groups to better help older adults at risk of developing depression.

Adult ; Aged ; Depression ; therapy ; Female ; Humans ; Middle Aged ; Singapore ; Social Class ; Social Support ; Surveys and Questionnaires

INTRODUCTIONThis 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 METHODSA 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.

RESULTSThe 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.

CONCLUSIONSimulation was found to be a useful and low cost method that allows an otherwise expensive and resource intensive evaluation of new work processes and technology to be completed within a short time.

Ambulatory Care ; Automation ; Computer Simulation ; Efficiency, Organizational ; Medication Systems, Hospital ; organization & administration ; Pharmacy Service, Hospital ; standards ; Singapore ; Time Factors