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ABSTRACT: Due to the narrow window of opportunity for stroke therapeutics to be employed, effectiveness of stroke care systems is predicated on the efficiency of prehospital stroke systems. A robust prehospital stroke system of care that provides a rapid and well-coordinated response maximises favourable poststroke outcomes, but achieving this presents a unique set of challenges dependent on demographic and geographical circumstances. Set in the context of a highly urbanised first-world nation with a rising burden of stroke, Singapore's prehospital stroke system has evolved to reflect the environment in which it operates. This review aims to characterise the current state of prehospital stroke care in Singapore, covering prehospital aspects of the stroke survival chain from symptom onset till arrival at the emergency department. We identify areas for improvement and innovation, as well as provide insights into the possible future of prehospital stroke care in Singapore.
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OBJECTIVE: Long-term effects of hyperoxemia during acute exacerbation of chronic obstructive pulmonary disease (AECOPD) remained unknown. We aimed to explore these effects of hyperoxemia during AECOPD. METHODS: This was an exploratory follow-up study of a cohort with AECOPD managed by Emergency Medical Service and two emergency departments (EDs). Patients were classified as hyperoxemic (PaO2 > 65 mmHg) or nonhyperoxemic (PaO2 ≤ 65 mmHg). Patients discharged from ED/inpatient care were followed up prospectively for 1 year. The primary outcome was 1-year all-cause mortality in hyperoxemic vs. nonhyperoxemic groups. Secondary outcomes were 3-month all-cause mortality and median number of repeat AECOPD hospitalizations within 1 year. We generated Kaplan-Meier curves and compared them using log-rank test. The primary outcome was also analyzed using Cox proportional-hazards model. We reported crude and adjusted hazard ratios, their 95% confidence intervals (CIs) and P values. We adjusted for two a priori predictors of delayed mortality; age ≥ 70 years and repeat AECOPD hospitalizations. RESULTS: A total of 231 patients were analyzed. One-year mortality rates in hyperoxemic vs. nonhyperoxemic groups were 26/137 (19.0%) and 12/94 (12.8%), respectively (P = 0.693). Although Kaplan-Meier curves showed divergent courses favoring nonhyperoxemic group, log-rank test was not statistically significant (P = 0.203). The crude and adjusted hazard ratios (reference: nonhyperoxemic group) were 1.55 (95% CIs, 0.78-3.08; P = 0.207) and 1.57 (95% CIs, 0.79-3.13; P = 0.196), respectively. Secondary outcomes did not differ. CONCLUSIONS: Our study reported no effect on 1-year all-cause mortality associated with hyperoxemia during AECOPD. Further studies are needed to prove/disprove our findings.
Subject(s)
Emergency Medical Services , Pulmonary Disease, Chronic Obstructive , Aged , Disease Progression , Emergency Service, Hospital , Follow-Up Studies , Humans , Oxygen , Prospective Studies , Pulmonary Disease, Chronic Obstructive/therapyABSTRACT
BACKGROUND: Bystander Cardio-Pulmonary Resuscitation (BCPR) can improve survival for Out-of-Hospital Cardiac Arrest (OHCA). This study aimed to investigate the geographic variation of BCPR provision and survival to discharge outcomes among residential OHCA cases, evaluate this variation with individual and population characteristics and identify high-risk residential areas with low relative risk (RR) of BCPR and high RR of OHCA at the development guide plan (DGP) census tract levels in Singapore. METHODS: This was a retrospective, secondary analysis of two prospectively-collected registries in Singapore from 2001 to 2011. We used Bayesian conditional autoregressive spatial models to examine predictors at the DGP level and calculate smoothed RR to identify high-risk areas. We used multi-level mixed-effects logistic regression models to examine the independent effects of individual and neighborhood factors. RESULTS: We found a total of 3942 OHCA with a BCPR rate of 20.3% and a survival to discharge rate of 1.9% and 3578 cases eligible for BCPR. After adjusting for age, witnessed status, presumed cardiac etiology and longer response time, the risk of BCPR provision significantly increased by 0.02% for every 1% increase in the proportion of household size 5 and above in the DGP area (odds ratio 1.02, 95%CI=1.002-1.038, p<0.026). We identified 10 high-risk residential areas with low RR of BCPR and high RR of OHCA. CONCLUSION: This study informed that neighborhood household size could have played a significant role in the provision of BCPR and occurrence of high-risk areas. It demonstrates the public health potential of combining geospatial and epidemiological analysis for improving health.
Subject(s)
Cardiopulmonary Resuscitation , Out-of-Hospital Cardiac Arrest/epidemiology , Out-of-Hospital Cardiac Arrest/therapy , Aged , Female , Geography , Humans , Male , Middle Aged , Residence Characteristics , Retrospective Studies , Risk Factors , SingaporeABSTRACT
OBJECTIVES: The objectives of this study are to develop a discrete-event simulation (DES) model for the Singapore Emergency Medical Services (EMS), and to demonstrate the utility of this DES model for the evaluation of different policy alternatives to improve ambulance response times. METHODS: A DES model was developed based on retrospective emergency call data over a continuous 6-month period in Singapore. The main outcome measure is the distribution of response times. The secondary outcome measure is ambulance utilization levels based on unit hour utilization (UHU) ratios. The DES model was used to evaluate different policy options in order to improve the response times, while maintaining reasonable fleet utilization. RESULTS: Three policy alternatives looking at the reallocation of ambulances, the addition of new ambulances, and alternative dispatch policies were evaluated. Modifications of dispatch policy combined with the reallocation of existing ambulances were able to achieve response time performance equivalent to that of adding 10 ambulances. The median (90th percentile) response time was 7.08 minutes (12.69 minutes). Overall, this combined strategy managed to narrow the gap between the ideal and existing response time distribution by 11-13%. Furthermore, the median UHU under this combined strategy was 0.324 with an interquartile range (IQR) of 0.047 versus a median utilization of 0.285 (IQR of 0.051) resulting from the introduction of additional ambulances. CONCLUSIONS: Response times were shown to be improved via a more effective reallocation of ambulances and dispatch policy. More importantly, the response time improvements were achieved without a reduction in the utilization levels and additional costs associated with the addition of ambulances. We demonstrated the effective use of DES as a versatile platform to model the dynamic system complexities of Singapore's national EMS systems for the evaluation of operational strategies to improve ambulance response times.