BackgroundThe seroprevalence of varicella in Southeast Asia is not well described especially in healthcare workers (HCW) in the region. We report the varicella seroprevalence among healthcare workers from a diverse range of countries working in a tertiary care hospital in Singapore.MethodsWe audited the results of annual HCW health screening, which included a varicella assay, from the years 2009 to 2014. During this period, there was a change in hospital policy mandating varicella immunity for all newly employed healthcare workers. The serological data were reviewed with employment records on occupation and nationality. Seroprevalence rates were determined by standard commercial enzyme linked immunosorbent assays for each year of testing. Odds of being immune in 2014 were compared by means of multiple logistic regression.ResultsA total of 10,585 samples were obtained from 6668 unique individuals over four separate cross-sections of the hospital workforce. A peak seroprevalence of 92.8 % (95 % CI 92.0–93.5) was recorded in 2014. Younger employees had a lower seroprevalence than their older colleagues. In a consolidated sample of 4875 members of the active workforce in October 2014, we identified that Indian nationals were less likely to be immune than their Singaporean national colleagues, odds ratio (OR) 0.26 (95 % CI 0.17–0.43, p < 0.001), while Chinese nationals were more likely to be immune, OR 4.34 (95 % CI 1.61–12.2, p = 0.004), after controlling for year of screening, gender, age-group and vocation. In 2014, being employed as administrative staff, OR 0.43 (95 % CI 0.29–0.64, p < 0.001) or contract service provider, OR 0.30 (95 % CI 0.19–0.47, p < 0.001), was also associated with a lower odds of being immune than being employed as a nurse.ConclusionsThere remain a small number of healthcare workers who are non-immune to varicella in our tertiary hospital. A new pre-employment policy of mandatory screening and vaccination may have increased rates of immunity but more needs to be done to ensure that all of our employees are immune to varicella to protect our vulnerable patients.

BackgroundTo test a population health program which could, through the application of process redesign, implement multiple evidence-based practices across the continuum of care in a functionally integrated health delivery system and deliver highly reliable and consistent evidence-based surgical care for patients with fragility hip fractures in an acute tertiary general hospital.MethodsThe ValuedCare (VC) program was developed in three distinct phases as an ongoing collaboration between the Geisinger Health System (GHS), USA, and Changi General Hospital (CGH), Singapore, modelled after the GHS ProvenCare® Fragile Hip Fracture Program. Clinical outcome data on consecutive hip fracture patients seen in 12 months pre-intervention were then compared with the post-intervention group. Both pre- and post-intervention groups were followed up across the continuum of care for a period of 12 months.ResultsVC patients showed significant improvement in median time to surgery (97 to 50.5 h), as well as proportion of patients operated within 48 h from hospital admission (48% from 18.8%) as compared to baseline pre-intervention data. These patients also had significant reduction (p value < 0.001) of acute inpatient complications such as delirium, pneumonia, urinary tract infections, and pressure sores. VC program has shown significant reduction in median length of stay for acute hospital (13 to 9 days) as well as median combined length of stay for acute and sub-acute rehabilitation hospital (46 to 39 days), thus reducing the total duration of hospitalization and saving total hospital bed days. Operative and inpatient mortality, together with readmission rates, remained low and comparable to international Geriatric Fracture Centers (GFCs).ConclusionThe implementation of VC methodology has enabled consistent delivery of high-quality, reliable and comprehensive evidence-based care for hip fracture patients at Changi General Hospital. This has also reflected successful change management and interdisciplinary collaboration within the organization through the program. There is potential for testing this methodology as a quality improvement framework replicable to other disease groups in a functionally integrated healthcare system.

Objective: To simulate and compare a manual hospital supply chain management model versus a process that is technologically integrated (either by Radio Frequency Identification [RFID] technology or automated guided vehicles [AGVs]), in a general hospital in Singapore. Methods: Design: Deterministic modelling of hospital supply chain management for manual and technologically integrated processes as part of the institutional quality improvement exercise. Setting: Study was conceptualised during re-location of a 355-bed general hospital to newer premises within Singapore with an increased capacity of 700 beds. Study duration was 1.5 years and data collection was performed from Sep 2014 to Sep 2015. Results: Automating the inventory check and use of automated guided vehicles for medical supplies can improve business and operational performance by saving time on no-value added activities that can be transferred to patient care. RFID intervention requires least number of man-hours per day reducing the total manpower requirements by about one third as compared to the manual process while improving productivity by about 40%, it also provides cost savings of about 25% over a period of 10 years. Sensitivity analysis shows that extent of these cost savings are dependent on overall staff utilisation. Although use of AGV alone is expensive in our model, combining AGVs with RFID technology provides the least manpower dependence among the different interventions studied, it also gives a positive return on investment as compared to manual process beyond 3 years of operations. Conclusions: Optimising supply chains within healthcare helps minimise manpower dependency and costs. However, prior to adopting a specific intervention, the unique characteristics of each healthcare setting should be considered. There is need for similar research into healthcare supply chains to identify key determinants to cost savings and improving productivity, both locally and regionally.