Evidence map›Paper›PMID 40384830›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Trends and Patterns of Road Traffic Accidents in Maharashtra: A Comparative Examination of NCRB and MEMS Databases.

Biranchi Narayan Jena, Dnyaneshwar Shelke, Shoma Shrivastava

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trends and Patterns of Road Traffic Accidents in Maharashtra: A Comparative Examination of NCRB and MEMS Databases.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Biranchi Narayan JenaDepartment of Hospital and Healthcare Management, Global Business School and Research Centre, Dr D Y Patil Vidyapeeth (Deemed to be University), Tathawade, Pune, Maharashtra, India.
Dnyaneshwar ShelkeBVG Maharashtra Emergency Medical Services, BVG MEMS, Aundh Chest Hospital, New Sanghvi, Pune, Maharashtra, India.
Shoma ShrivastavaHealthcare Education Unit, CLIMB Global Alliance, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

DatabaseinjuryMEMSNCRBroad safetyroad traffic accidents

Identifiers

PMID40384830
PMCPMC12080895

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.