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BACKGROUND: In Shenzhen, the Emergency Medical Service (EMS) system has been in service since 1997. This study aims to examine the operation of Shenzhen 120 EMS center and to identify the reasons of calling EMS. METHODS: In this retrospective quantitative descriptive study, the data from the Shenzhen 120 EMS registry in 2011 were analyzed. RESULTS: Shenzhen 120 EMS center is a communication command center. When the number of 120 are dialed, it is forwarded to the closest appropriate hospital for ambulance dispatch. In 2011, the Shenzhen 120 EMS center received 153 160 ambulance calls, with an average of 420 calls per day. Calling emergency services was mainly due to traffic accidents. Trauma and other acute diseases constituted a majority of ambulance transports. The adult patients aged 15-60 years are the principal users of EMS. There are no recognized 'paramedic' doctors and nurses. The pre-hospital emergency service is under the operation of emergency departments of hospitals. Shenzhen at present does not have specialized pre-hospital training for doctors and nurses in post-trauma management. Moreover, specialized pre-hospital training, financial support, and public health education on proper use of EMS should be emphasized. CONCLUSION: The Shenzhen 120 EMS center has its own epidemiology characteristics. Traumatic injury and traffic accident are the main reasons for calling ambulance service. In-depth study emphasizing the distribution and characteristics of trauma patients is crucial to the future development of EMS.
RESUMEN
BACKGROUND: Fever is an undifferentiated clinical feature that may enhance the sensitivity of syndromic surveillance systems. By studying the spatiotemporal associations of febrile patients, it may allow early detection of case clustering that indicates imminent threat of infectious disease outbreaks in the community. METHODS: We captured consecutive emergency department visits that led to hospitalization in a district hospital in Hong Kong during the period of 12 Sep 2005 to 14 Oct 2005. We recorded demographic data, provisional diagnoses, temperature on presentation and residential location for each patient-episode, and geocoded the residential addresses. We applied Geographical Information System technology to study the geographical distribution these cases, and their associations within a 50-m buffer zone spatially. A case cluster was defined by three or more spatially associated febrile patients within each three consecutive days. RESULTS: One thousand and sixty six patient-episodes were eligible for analysis; 42% of them had fever (>37 degrees C; oral temperature) on presentation. Two hundred and four patient-episodes (19.1%) came from residential care homes for elderly (RCHE). We detected a total of 40 case clusters during the study period. Clustered cases were of older age; 57 (33.3%) were residents of RCHE. We found a median of 3 patients (range: 3 - 8) and time span of 3 days (range: 2 - 8 days) in each cluster. Twenty five clusters had 2 or more patients living in the same building block; 18 of them were from RCHE. CONCLUSIONS: It is technically feasible to perform surveillance on febrile patients and studying their spatiotemporal associations. The information is potentially useful for early detection of impending infectious disease threats.