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A Multi-sectoral Approach to Capture Information on Road Traffic Injuries

BACKGROUND: Regularly available data is shown to be inadequate for developing, implementing, and evaluating injury prevention and control programs in India. The present study was undertaken in the hospitals of Bangalore and Pune, to examine the feasibility of gathering information on injuries using...

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Autores principales: Menon, Geetha R, Gururaj, G, Tambe, MP, Shah, B
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940192/
https://www.ncbi.nlm.nih.gov/pubmed/20922113
http://dx.doi.org/10.4103/0970-0218.66876
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author Menon, Geetha R
Gururaj, G
Tambe, MP
Shah, B
author_facet Menon, Geetha R
Gururaj, G
Tambe, MP
Shah, B
author_sort Menon, Geetha R
collection PubMed
description BACKGROUND: Regularly available data is shown to be inadequate for developing, implementing, and evaluating injury prevention and control programs in India. The present study was undertaken in the hospitals of Bangalore and Pune, to examine the feasibility of gathering information on injuries using multiple sources. MATERIALS AND METHODS: Stakeholders meeting and training programs were held for the hospital staff, police personnel, and traffic and transport staff, to identify their roles and responsibilities. Prospective data on morbidity and mortality due to injuries were collected by trained staff from Emergency Departments on a pre-tested questionnaire. The information gathered was cross-checked with the hospital and police records. RESULTS: The stakeholders meeting and training programs were able to motivate the departments to provide the correct data. Data on 32188 patients could be extracted from hospital and police records during the study period. Injuries accounted for 16% of the emergency cases. Unintentional injuries were 64%, and 32% were intentional. Road traffic injuries accounted for 44% of all the injuries. One-third of the injured were children and young adults below 25 years. Among the injured, two wheeler riders were 29% and pedestrians were 23%. CONCLUSION: It was possible to improve the data on injuries by adequate training and a data linking mechanism between the Police, Hospital, and Transport Departments. The problem of road traffic injuries could be highlighted and addressed by a good data capture mechanism.
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spelling pubmed-29401922010-10-04 A Multi-sectoral Approach to Capture Information on Road Traffic Injuries Menon, Geetha R Gururaj, G Tambe, MP Shah, B Indian J Community Med Original Article BACKGROUND: Regularly available data is shown to be inadequate for developing, implementing, and evaluating injury prevention and control programs in India. The present study was undertaken in the hospitals of Bangalore and Pune, to examine the feasibility of gathering information on injuries using multiple sources. MATERIALS AND METHODS: Stakeholders meeting and training programs were held for the hospital staff, police personnel, and traffic and transport staff, to identify their roles and responsibilities. Prospective data on morbidity and mortality due to injuries were collected by trained staff from Emergency Departments on a pre-tested questionnaire. The information gathered was cross-checked with the hospital and police records. RESULTS: The stakeholders meeting and training programs were able to motivate the departments to provide the correct data. Data on 32188 patients could be extracted from hospital and police records during the study period. Injuries accounted for 16% of the emergency cases. Unintentional injuries were 64%, and 32% were intentional. Road traffic injuries accounted for 44% of all the injuries. One-third of the injured were children and young adults below 25 years. Among the injured, two wheeler riders were 29% and pedestrians were 23%. CONCLUSION: It was possible to improve the data on injuries by adequate training and a data linking mechanism between the Police, Hospital, and Transport Departments. The problem of road traffic injuries could be highlighted and addressed by a good data capture mechanism. Medknow Publications 2010-04 /pmc/articles/PMC2940192/ /pubmed/20922113 http://dx.doi.org/10.4103/0970-0218.66876 Text en © Indian Journal of Community Medicine http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Menon, Geetha R
Gururaj, G
Tambe, MP
Shah, B
A Multi-sectoral Approach to Capture Information on Road Traffic Injuries
title A Multi-sectoral Approach to Capture Information on Road Traffic Injuries
title_full A Multi-sectoral Approach to Capture Information on Road Traffic Injuries
title_fullStr A Multi-sectoral Approach to Capture Information on Road Traffic Injuries
title_full_unstemmed A Multi-sectoral Approach to Capture Information on Road Traffic Injuries
title_short A Multi-sectoral Approach to Capture Information on Road Traffic Injuries
title_sort multi-sectoral approach to capture information on road traffic injuries
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940192/
https://www.ncbi.nlm.nih.gov/pubmed/20922113
http://dx.doi.org/10.4103/0970-0218.66876
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