EMS in Taiwan: past, present, and future.

Taiwan is a small island country located in East Asia. From around 1995 modern concepts of the EMS were imported and supported by legislation. Considerable progress has since been made towards the construction of an effective pre-hospital care system. This article introduces the current status of the EMS in Taiwan, including the systems, response configurations, funding, personnel, medical directorship, and outcome research. The features and problems of in-hospital emergency care are also discussed. Key areas for further development in the country vary depending on regional differences in available resource and population density. An analysis of the strength, weakness, opportunity, and threats of the evolving EMS in Taiwan could be an example for other countries where the EMS is undergoing a similar process of development and optimisation.

Evaluation of emergency medical dispatch in out-of-hospital cardiac arrest in Taipei.

INTRODUCTION: Emergency medical dispatchers are the entry points to the emergency medical services (EMS). The overall performances of the dispatchers are imperative determinants of the emergency medical services dispatching system. There is little data on the cultural and language impacts on emergency medical dispatch. OBJECTIVE: This study examined the emotional content and cooperation score (ECCS) among Mandarin Chinese speaking callers for cardiac arrests, and evaluated the performances of emergency medical services dispatching system in Taipei. METHODS: This retrospective, observational study examined dispatching audio recordings obtained from the Taipei City Fire Department Dispatching Center between January 2004 to April 2004. The tapes of call relating to adult (age >or=18 years), non-traumatic cases with a presumed or field diagnosis of out-of-hospital cardiac arrest (OHCA) underwent systemic review. The caller's ECCS and the dispatcher's performances, including interview skills, provision of telephone-assisted cardiopulmonary resuscitation (T-CPR), and dispatcher's ability to identify OHCA were examined. Interrater reliability for determining ECCS and interview skills were assessed using kappa statistic. RESULTS: A total of 199 audio recordings were reviewed. A mean ECCS of 1.42+/-0.64 (95% CI: 1.33-1.51) demonstrated that most callers were emotionally stable and cooperative when calling for help, even when facing cardiac arrest patients. There was a good association between ECCS and the sex of the callers (male 1.32 versus female 1.49; p<0.05). In 82% of interviews, the interview skills of the dispatchers was high (4 or 5 points); while in one fifth the interview skills were suboptimal. About one third of the cases were provided with T-CPR by the dispatchers. The sensitivity and positive predictive value (PPV) for predicting OHCA by dispatchers were 96.9% and 97.9%, respectively. A kappa value of 0.65 and 0.68 were obtained for the interrater reliability of ECCS and interview skills. CONCLUSION: Most callers were found to be emotional stable and cooperative with dispatcher's interrogations when calling for cardiac arrest victims in this Mandarin speaking population. The dispatchers have shown satisfactory interview skills in approaching emergency calls and a good ability to identify OHCA. There is a low rate of T-CPR offered to the callers in the investigation. Efforts should be made to address the deficiencies in order to maximise the function of the EMS.

A new way to analyze resuscitation quality by reviewing automatic external defibrillator data.

AIMS: High quality cardiopulmonary resuscitation (CPR) plays an important role in survival of out-of-hospital cardiac arrests (OHCAs). We have developed an algorithm to automatically identify the quality of chest compressions from data retrieved from automatic external defibrillators (AEDs). METHODS: Electrocardiographic (ECG) signals retrieved from AEDs were analyzed by a newly developed algorithm to identify fluctuations in CPR. The algorithm contained three steps. First, it decomposed the AED signals into several intrinsic mode fluctuations (IMFs) by empirical mode decomposition (EMD). Second, it identified the dominant IMFs that carried the chest compression signals and weighted the IMFs to both enhance the chest compression oscillations and filter the noise. Third, it calculated the autocorrelation function (ACF) of the reconstructed signals and tested their periodicity. Using this algorithm, several CPR quality indicators were automatically calculated minute-by-minute and compared with those derived by audio and visual review of AED data by experienced physicians. RESULTS: A total of 77 (29 women, 48 men) OHCA patients were enrolled, and 351 one-min segments were analyzed. The results showed that the CPR quality parameters calculated from the algorithm were highly correlated with those from the manual review (all P<0.001). The limits of agreement by Bland-Altman analysis were acceptable for chest compression number, total flow time, and no flow time, but not for CPR rate. We also demonstrated that only 41.8±29.8% of time was spent in chest compressions and only 7.5±16.8% was spent in adequate chest compressions. CONCLUSION: Our results demonstrated that several indicators of CPR quality can be precisely and automatically determined by analyzing the ECG signals from AEDs using EMD and autocorrelograms.

A survey of international urban search-and-rescue teams following the Ji Ji earthquake.

On 21 September 1999, the Ji Ji earthquake killed 2,347 people. In the immediate aftermath the international community, mobilised rapidly and sent urban search-and-rescue (US&R) teams to the scene. This paper will present an annotated survey of the expertise and standard of equipment of international US&R teams following that earthquake which could serve as a blueprint for the establishment of US&R teams elsewhere at risk from earthquakes.