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559 Road traffic fatalities in Tunisia: a multisector sources data linkage
  1. Wafa Saidi1,
  2. Mohamed Amine Souguir2,
  3. Mehdi Ben Khelil3,
  4. Nada Zoghlami4,
  5. Imed Hamdi5,
  6. Olfa Saidi6,
  7. Hatem Amira5,
  8. Hajer Aounallah-Skhir4,
  9. Saber Khefifi2,
  10. Kacem Iyach6,
  11. Henda Chebbi7
  1. 1Emergency Department, General Directorate of Health, Ministry of Health, Tunis, Tunisia
  2. 2National Road Safety Observatory, Ministry of Interior, Tunis, Tunisia
  3. 3Faculty of Medicine of Tunis, University of Tunis el Manar, Tunis, Tunisia
  4. 4National Institute of Health, Tunis, Tunisia
  5. 5Tunisian Federation of Insurance companies, Tunis, Tunisia
  6. 6World Health Organization Tunisia Country Office, Tunis, Tunisia
  7. 7Emergency Medicine Unit, General Directorate of Health, Ministry of Health, Tunis, Tunisia


Background In Tunisia, road traffic fatalities (RTF) count as the first cause of death from an external cause. To date, The National Road Safety Observatory (NRSO), Ministry of the Interior is recognized as the official data source.

This study aimed to set up a linkage project between the five main data sources (including the official one), to analyze the underestimation of RTF, and to study its pattern.

Methods A platform has been developed allowing the implementation of a computer system unifying and combining all the data on RTF from five institutions related to Police authorities, health sector, and private insurances. Data were collected for the year 2019.

Results The official data source (NRSO) reported a total of 1421 road traffic fatalities. The total number of deaths observed after combining the sources moved to 2240 casualties, from which 53% were joint between at least two data sources. Only one casualty was reported by the five data sources. Victims were more likely to be male, in the 26–45 age group. The governorate of Tunis (the capital) has recorded the highest number.

This multisectoral linkage project has improved the information systems of each institution with a variable improvement estimated between 9.5% and 100% for the institutions that created a new information system.

Conclusion The linkage data proved the statistics gap of RTF allowing drawing a more accurate picture of the real figures. The project concluded a better alignment between the declared figures and the approximations needed to adapt preventive measures of RTF.

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