Jena Biranchi Narayan, Shelke Dnyaneshwar, Shrivastava Shoma
Department of Hospital and Healthcare Management, Global Business School and Research Centre, Dr D Y Patil Vidyapeeth (Deemed to be University), Tathawade, Pune, Maharashtra, India.
BVG Maharashtra Emergency Medical Services, BVG MEMS, Aundh Chest Hospital, New Sanghvi, Pune, Maharashtra, India.
Indian J Community Med. 2025 Mar-Apr;50(2):300-306. doi: 10.4103/ijcm.ijcm_773_23. Epub 2025 Jan 30.
The emergence of high incidence of Road Traffic Accidents (RTA) has contributed to the burden of Non-Communicable Disease (NCD) both in terms of mortality and morbidity. It is very important to have a structured and accurate database for strategizing road safety and associated public health benefits. There are multiple sources of data available for the research of road traffic accidents and road safety. It is utmost necessary to identify the most appropriate data source for RTA research.
The current study is based on five years' time series data (2017 to 2021) from two data sources namely National Crime Record Bureau (NCRB) and Maharashtra Emergency Medical Services (MEMS). Injury rate and death rate was used along with the trend analysis to define the trend of RTA. Corelation coefficient was used for establishing the patterns of reporting of RTA in the state of Maharashtra. The data is analysed by using MS Excel and SPSS16.0.
Both the databases exhibit a declining trend in the reporting of RTA in the state of Maharashtra with a CAGR of -1.99% in NCRB and -13.77% in MEMS. Although the number of incidents reported in NCRB is around 40% less than MEMS, both the sources have almost the same number of victims per accident (r= 84%). Injury rate reported in NCRB is around 40% less than the MEMS data and the variation in injury rate in cities is high as per NCRB data than in MEMS data. MEMS data provides a number of information including the severity of injury which may be useful for the analysis and insight generation.
Both the databases are important in providing crucial information for generating insight and strategies for road safety. A central database in combining both the database would be ideal for the researchers in the areas of injury and road safety. MEMS was the better source in terms of amount of information for epidemiological research in road safety.
道路交通事故(RTA)高发生率的出现,在死亡率和发病率方面都加重了非传染性疾病(NCD)的负担。拥有一个结构化且准确的数据库对于制定道路安全策略及相关公共卫生效益至关重要。道路交通事故和道路安全研究有多种数据来源。确定最适合道路交通事故研究的数据来源极为必要。
本研究基于来自两个数据源(即国家犯罪记录局(NCRB)和马哈拉施特拉邦紧急医疗服务(MEMS))的五年时间序列数据(2017年至2021年)。使用伤害率和死亡率以及趋势分析来定义道路交通事故的趋势。相关系数用于确定马哈拉施特拉邦道路交通事故报告的模式。数据通过MS Excel和SPSS16.0进行分析。
两个数据库均显示马哈拉施特拉邦道路交通事故报告呈下降趋势,NCRB的复合年增长率为-1.99%,MEMS为-13.77%。尽管NCRB报告的事故数量比MEMS少约40%,但两个来源每次事故的受害者数量几乎相同(r = 84%)。NCRB报告的伤害率比MEMS数据低约40%,并且根据NCRB数据,城市中伤害率的变化比MEMS数据高。MEMS数据提供了包括伤害严重程度在内的许多信息,这可能有助于分析和产生见解。
两个数据库对于生成道路安全见解和策略的关键信息都很重要。将两个数据库合并的中央数据库对于伤害和道路安全领域的研究人员来说将是理想的。就道路安全流行病学研究的信息量而言,MEMS是更好的来源。