Objective: This study aimed to compare the demographic characteristics and trauma service structures and processes of hospitals in 15 countries across the Asia Pacific, and to provide baseline data for the integrated trauma database: the Pan-Asian Trauma Outcomes Study (PATOS).
Methods: Medical directors and emergency physicians at PATOS-participating hospitals in countries across the Asia Pacific were surveyed through a standardized questionnaire. General information, trauma care system data, and trauma emergency department (ED) outcomes at each hospital were collected by email and analyzed using descriptive statistics.
Results: Survey data from 35 hospitals across 15 countries were collected from archived data between June 2014 and July 2015. Designated trauma centers were identified as the highest hospital level for trauma patients in 70% of surveyed countries. Half of the hospitals surveyed had special teams for trauma care, and almost all prepared activation protocol documents for these teams. Most hospitals offered specialized trauma education programs, and 72.7% of hospitals had a hospital-based trauma registry. The total number of trauma patients visiting the ED across 25 of the hospitals was 300,376. The overall survival-to-discharge rate was 97.2%; however, it varied greatly between 85.1% and 99.7%. The difference between survival-to-discharge rates of moderate and severe injury groups was highest in Taiwan (41.8%) and lowest in Thailand (18.6%).
Conclusion: Trauma care systems and ED outcomes vary widely among surveyed hospitals and countries. This information is useful to build further detailed, systematic platforms for trauma surveillance and evidence-based trauma care policies.
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http://dx.doi.org/10.15441/ceem.18.088 | DOI Listing |
Trop Med Health
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LaoLuxLab/Vaccine Preventable Diseases Laboratory, Institut Pasteur du Laos, Vientiane, Laos.
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HCor Research Institute, Hospital do Coração, Rua Desembargador Eliseu Guilherme 200, 8th Floor, São Paulo, SP, 04004-030, Brazil.
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BMC Public Health
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Al-Barkaat Institute of Management Studies, Aligarh 202122, Dr. A. P. J. Abdul Kalam Technical University, Lucknow 226010, India.
Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan.
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