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Replication of a local record keeping method for collecting road crash data in low resource settings: lessons from Bangladesh and Nepal

Thierry, Martijn; Khadka, Anish; Uddin, Kazi Burhan; Parkin, John; Rahman, AKM Fazlur; Joshi, Sunil Kumar; Mytton, Julie

Replication of a local record keeping method for collecting road crash data in low resource settings: lessons from Bangladesh and Nepal Thumbnail


Authors

Martijn Thierry

Anish Khadka

Kazi Burhan Uddin

Profile image of John Parkin

John Parkin John.Parkin@uwe.ac.uk
Professor in Transport Engineering

AKM Fazlur Rahman

Sunil Kumar Joshi



Abstract

Background. Police road crash and injury data in low- and middle-income countries are known to under-report crashes, fatalities and injuries, especially for vulnerable road users. Local record keepers, who are members of the public, can be engaged to provide an additional source of crash and injury data.
Methods. This paper compares the application of a local record keeper method to capture road crash and injury data in Bangladesh and Nepal, assesses the quality of the data collected and evaluates the replicability and value of the methodology using a framework developed to evaluate the impact of being a local record keeper.
Outcome. Application in research studies in both Bangladesh and Nepal found the local record keeper methodology provided high-quality and complete data compared to local police records. The methodology was flexible enough to adapt to project and context differences. The evaluation framework enabled the identification of the challenges and unexpected benefits realised in each study. This led to the development of an eleven-step process for conducting road crash data collection using local record keepers, which is presented to facilitate replication in other settings.
Conclusion. Data collected by local record keepers is a flexible and replicable method to understand the strengths and limitations of existing police data, adding to the evidence base and informing local and national decision-making. The method may create additional benefits for data collectors and communities, help design and assess road safety interventions, and support advocacy for improved routine police data.

Journal Article Type Article
Acceptance Date Apr 12, 2024
Online Publication Date Jun 11, 2024
Publication Date Oct 1, 2024
Deposit Date May 5, 2024
Publicly Available Date Jun 12, 2024
Journal Injury Prevention
Print ISSN 1353-8047
Electronic ISSN 1475-5785
Publisher BMJ Publishing Group
Peer Reviewed Peer Reviewed
Volume 30
Pages 427-431
DOI https://doi.org/10.1136/ip-2024-045279
Keywords Pedestrian, Low-Middle Income Country, Community Research, Motor vehicle - Non traffic, Motor vehicle - Occupant, Motorcycle
Public URL https://uwe-repository.worktribe.com/output/11977496

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