Evidence map›Paper›PMID 39629407›Full record

ArticleJournal of family medicine and primary care2024

Epidemiological analysis of Road Accident Data Management System (RADMS) data in Tamil Nadu, India from 2011 to 2016: Future directions for an integrated national database.

Kowshick Raghavan, Sendhilkumar Muthappan, Karunya Ravi, Kathirvel Jothi, Devika Shanmugasundaram, Vettrichelvan Venkatasamy, Ganeshkumar Parasuraman, Manickam Ponnaiah

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Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kowshick RaghavanDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.
Sendhilkumar MuthappanDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.
Karunya RaviDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.
Kathirvel JothiDepartment of Public Health, Directorate of Public Health and Preventive Medicine, Tamil Nadu, India.
Devika ShanmugasundaramDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.
Vettrichelvan VenkatasamyDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.
Ganeshkumar ParasuramanDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.
Manickam PonnaiahDivision of Online Courses, ICMR-National Institute of Epidemiology, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Globally, road traffic injuries (RTIs) are the eighth leading cause of death, with an estimated 1.35 million deaths yearly. In India, road traffic accidents (RTAs) are one of the major causes of mortality among the younger generation. We analyzed Tamil Nadu's comprehensive Road Accident Data Management System (RADMS) data and described the epidemiological indicators of RTI in this setting. Methods: We obtained the data from the RADMS database for 2011-2016 and used 2011 population census data to project and standardize for different age groups and genders to calculate incidence. We calculated average annual percentage changes (AAPC) with a 95% confidence interval for the whole period. We computed Joinpoint regression analysis for trends and calculated the age-adjusted incidence rate with standard error (SE) using R statistical computing software. Results: We included 3,67,094 RTAs and 5,50,447 RTIs. We observed that the incidence of RTAs and RTIs declined between 2011 and 2016. Most injured were males (82%) and aged 20-39 years (49%). The highest number of accidents occurred on the state highways (65.2%) and on Sundays (17%). Age-adjusted incidence (per 1,00,000) declined from 121.87 (SE 0.4) in 2011 to 92.73 (SE 0.34) in 2016 (AAPC = -4.5% (95% CI = -7.8 to -1)). The age groups 30-39 and 20-29 were 9.82 (z = 8.98; Conclusion: Young adults, drivers, motorcyclists, and pedestrians remain vulnerable populations for RTIs. More accidents occurred in the state highways and on Sundays. The analysis provides insights on RTIs and RTAs, which will be used to reduce the burden of RTIs and save millions of lives.

Indexed as

Injury surveillanceRADMSroad traffic accidentsroad traffic injuriesTamil Nadu

Identifiers

PMID39629407
PMCPMC11610803

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