Factors affecting the likelihood of reporting road crashes resulting in medical treatment to the police

In this study, the data of Road Accident Information System (RoCIS) at Tuen Mun Hospital and the record of police crash in 2004 at TRADA are in agreement. During this time, the police reported 15,026 traffic accidents and 19,402 casualties came out. We use the Hong Kong identification number of the victim of traffic traffic as a contact variable and check RoCIS and TRADD casualty database. In order to protect privacy, Hong Kong's identity card information has been deleted after verification. Matching road injury records are associated with conflicts and vehicle-based data within TRADS by police designated accident report number.

What is interesting is whether the victim of the traffic accident reported the accident to the police. Three factors, demographics, road users, and severity factors of injuries, were analyzed to identify factors related to traffic accidents associated with reported injuries. Demographic factors include age and gender, road user factors include classification of road user groups such as drivers, passengers, pedestrians, degree of injury is the degree of injury (ISS) score, Based on 19 and the length of stay. The next section uses descriptive statistics to summarize the percentage of casualties due to inconsistent or partially matched RoCIS road traffic accidents that match the police casualties database. Next, we presented crosstab and χ 2 test and compared relationships based on different treatment groups. The logistic regression model is used to examine the influence of various selected factors on the reporting rate.

In most countries, we collect basic information on traffic accidents and injuries everyday. The police wrote a report on the cases reported. The insurer recorded the crash of the client. Healthcare workers keep medical records of traffic accidents that they treat. The primary purpose of recording this information is usually to help the organization perform its specific functions (investigation, law enforcement, and provision of medical care). This information is useful for the organization, but it is useful for identifying risks, choosing interventions, or measuring the overall level of results, unless it is properly encoded and entered into the computer database system, processed, analyzed, and distributed It can not be used. The term road traffic accident data system refers to people, processes, hardware and software involved in collecting and managing information related to road traffic accidents. At a minimum, the excellent road traffic data system will be as follows.

In this study, the data of Road Accident Information System (RoCIS) at Tuen Mun Hospital and the record of police crash in 2004 at TRADA are in agreement. During this time, the police reported 15,026 traffic accidents and 19,402 casualties came out. We use the Hong Kong identification number of the victim of traffic traffic as a contact variable and check RoCIS and TRADD casualty database. In order to protect privacy, Hong Kong's identity card information has been deleted after verification. Matching road injury records are associated with conflicts and vehicle-based data within TRADS by police designated accident report number.

Factors affecting the possibility of reporting traffic accidents lead to police treatment

According to police reports, the driver died after crashing at King's Land Road. A 33 - year - old woman lost control of the car and crashed into a dam. She was taken to the CJW medical center in Chippenham Campus and later died of multiple injuries. The accident occurred on the Highway 10's 5400 Kingsland Road.

In the US survey in 1985, it was revealed that about 34% of serious accidents are related to roads and the environment. Most of these crashes also include human factors. It is thought that road and environmental factors contributed greatly to the crash situation or there is no room for recovery. In this case, the driver is often accused of not roads, and those reporting collisions tend to ignore human factors such as design and maintenance subtleties that the driver may not be able to observe or compensate .