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BMC Public Health. 2016 Jan 20;16:53. doi: 10.1186/s12889-015-2609-1.

High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka.

Author information

1
Division of Emergency Medicine, Duke University Medicine Center, Durham, USA. catherine.staton@duke.edu.
2
Duke Global Health Institute, Durham, NC, USA. catherine.staton@duke.edu.
3
Duke Global Health Institute, Durham, NC, USA. pvdesilva@gmail.com.
4
Department of Community Medicine; Faculty of Medicine, University of Ruhuna, Matara, Sri Lanka. pvdesilva@gmail.com.
5
Division of Emergency Medicine, Duke University Medicine Center, Durham, USA. krebse@gmail.com.
6
State University of West of Parana / Unioeste, Foz do Iguaçu, Brazil. luc.and1973@gmail.com.
7
Public Health Research Group, Unioeste, Toledo, Brazil. luc.and1973@gmail.com.
8
College of Medicine and Health Sciences, University of Rwanda, Butare, Rwanda. s.rulisa@gmail.com.
9
University Teaching Hospital of Kigali, Kigali, Rwanda. s.rulisa@gmail.com.
10
Southern Provincial Director of Health Services Office, Galle, Sri Lanka. chandipushpa@yahoo.com.
11
Department of Occupational Health; School of Public Health, Fudan University, Shanghai, China. zhkjin@fudan.edu.cn.
12
Duke Global Health Institute, Durham, NC, USA. joaovissoci@gmail.com.
13
Faculty of Medicine, Faculdade de INGA, Maringa, Brazil. joaovissoci@gmail.com.
14
Department of Community Medicine; Faculty of Medicine, University of Ruhuna, Matara, Sri Lanka. Truls.ostbye@dm.duke.edu.

Abstract

BACKGROUND:

Road traffic crashes (RTCs) are a leading cause of death. In low and middle income countries (LMIC) data to conduct hotspot analyses and safety audits are usually incomplete, poor quality, and not computerized. Police data are often limited, but there are no alternative gold standards. This project evaluates high road utilizer surveys as an alternative to police data to identify RTC hotspots.

METHODS:

Retrospective police RTC data was compared to prospective data from high road utilizer surveys regarding dangerous road locations. Spatial analysis using geographic information systems was used to map dangerous locations and identify RTC hotspots. We assessed agreement (Cohen's Kappa), sensitivity/specificity, and cost differences.

RESULTS:

In Rwanda police data identified 1866 RTC locations from 2589 records while surveys identified 1264 locations from 602 surveys. In Sri Lanka, police data identified 721 RTC locations from 752 records while survey data found 3000 locations from 300 surveys. There was high agreement (97 %, 83 %) and kappa (0.60, 0.60) for Rwanda and Sri Lanka respectively. Sensitivity and specificity are 92 % and 95 % for Rwanda and 74 % and 93 % for Sri Lanka. The cost per crash location identified was $2.88 for police and $2.75 for survey data in Rwanda and $2.75 for police and $1.21 for survey data in Sri Lanka.

CONCLUSION:

Surveys to locate RTC hotspots have high sensitivity and specificity compared to police data. Therefore, surveys can be a viable, inexpensive, and rapid alternative to the use of police data in LMIC.

PMID:
26792526
PMCID:
PMC4719689
DOI:
10.1186/s12889-015-2609-1
[Indexed for MEDLINE]
Free PMC Article

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