Trends and Patterns of Road Traffic Accidents in Maharashtra: A Comparative Examination of NCRB and MEMS Databases.
Background: 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 hea...
| Publicado en: | Indian Journal of Community Medicine Vol. 50; no. 2; pp. 300 - 307 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wolters Kluwer India Pvt Ltd
Mar/Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184145295&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184145295 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09700218 1CQJ jtl: Indian Journal of Community Medicine issn: 09700218 maglogo: N pubinfo: dt: Mar/Apr2025 vid: 50 iid: 2 pid: 16919 pub: Wolters Kluwer India Pvt Ltd artinfo: ui: 184145295 184145295 184145295 10.4103/ijcm.ijcm_773_23 184145295 ppf: 300 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Trends and Patterns of Road Traffic Accidents in Maharashtra: A Comparative Examination of NCRB and MEMS Databases. aug: au: Jena, Biranchi Narayan Shelke, Dnyaneshwar Shrivastava, Shoma affil: 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 sug: subj: Accidents, Traffic Trends Accidents, Traffic Epidemiology Accidents, Traffic Prevention and Control Reference Databases Evaluation Human Comparative Studies India Morbidity Incidence Noncommunicable Diseases Mortality Public Health Safety Death, Accidental Trends Risk Assessment Time Series Emergency Medical Services Wounds and Injuries Trends Trend Studies Correlation Coefficient Descriptive Statistics Data Analysis Software Severity of Injury ab: Background: 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. Materials and Methods: 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. Results: 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. Conclusion: 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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