Injury outcome patternsMost of injured road users were aged 15-59 years (93.1%) (Table 5). Those aged 0-14 yearsand 60 years or more accounted for 15% of road fatalities. Females accounted for 15.7% ofthose involved, but 25.1% of those injured and 26.2% of those who died. Pe<strong>de</strong>striansaccounted for 5.4% of road users involved in crashes, but 18.4% of those who died. Twentyfive pe<strong>de</strong>strians died while crossing, whereas twelve of them died on the roadsi<strong>de</strong>. Nearlyfour out of five injured persons were transported by private means to the hospital.Ambulances were used to transport 4.0% of those injured and 8.4% of those died. Policeforces evacuated 2.0% of those injured and 6.0% of those who died.Table 5. Traffic injury outcome, according to road-user characteristics, on the Yaoundé-Douala road section (2004-2007)Total Injured DiedN % N % N %Age (y)- 0-14 52 2.4 35 3.8 15 6.5- 15-29 563 25.8 284 30.8 68 29.6- 30-44 1 019 46.8 399 43.3 71 30.9- 45-59 485 22.3 175 19.0 58 25.2- ≥ 60 59 2.7 29 3.1 18 7.8Sex- Male 2 322 84.3 952 74.9 262 73.8- Female 431 15.7 319 25.1 93 26.2Profession- Professional drivers 1 049 52.7 230 29.0 46 35.9- Office managers/employees 442 22.2 219 27.6 24 18.8- Self employed 193 9.7 112 14.1 17 13.3- Manual 127 6.4 97 12.2 15 11.7- Stu<strong>de</strong>nts 74 3.7 53 6.7 15 11.7- Other 107 5.4 82 10.3 11 8.6Road user- Driver 1 673 55.1 436 29.2 98 26.2- Vehicle occupants 1 200 39.5 968 64.8 208 55.6- Pe<strong>de</strong>strian 163 5.4 89 6.0 68 18.2Pre-hospital transport- Not transported 1 297 43.5 116 7.9 63 17.1- Private 1 539 51.7 1 260 85.7 252 68.5- Ambulance 90 3.0 59 4.0 31 8.4- Police force 52 1.7 29 2.0 22 6.0Seat-belt wearing was reported for only three persons out of over three thousand vehicleoccupants. Blood-alcohol concentration of responsible drivers was not systematicallyperformed and no record was available. Apparent DWI was i<strong>de</strong>ntified in only two drivers. Inabout 9.3% of the drivers no driving permit was available. Twenty pe<strong>de</strong>strian died at siteswhere no zebra crossing was available.28
4.2 Study II: Differences in police, ambulance, and emergency <strong>de</strong>partmentreporting of traffic injuries on Karachi-Hala road section, PakistanPakistan located at the junction of Middle-East, South-East Asia, China, and Central AsianStates, is the sixth most populous nation of the world [69]. Approximately 1.4 million RTCsoccurred in Pakistan during 1999, resulting in over 7 000 fatalities [76]. A recent WHO reportshowed that actual traffic fatalities could be 4 to 10 times higher than official statistic [2].Similarly, two in<strong>de</strong>pen<strong>de</strong>nt population-based surveys estimated inci<strong>de</strong>nce of traffic injuriesaround 15 to 17 per 1 000 persons per year [77, 78]; RTIs contribute significantly to the workload in hospitals [79]. The direct cost of RTIs to Pakistani economy is over 1 billon US$ [80].Interurban road sections are the back-bone of Pakistani economy. Its strategic interurban roadnetwork of approximately 8 000 km plays a significant role in transport, as it carries morethan 80% of inland passenger and freight traffic [76, 81]. Although these road sectionsaccount for 4% of the entire network, a high proportion of traffic fatalities (27%) occur onthese road sections [63]. Similarly, previous research in Pakistan has shown that injuryseverity was higher for crashes in rural areas [82]. However, no distinction has been ma<strong>de</strong>whether this refers to interurban or other rural roads. Higher speeds and inappropriategeometrical <strong>de</strong>sign can explain this high fatality ratio, but no comparison indicators wereavailable for these road sections [60].The catchment area for traffic injuries is difficult to <strong>de</strong>fine on interurban road sections inLMICs, and police records remain to date the most reliable source of evaluating interurbanroad safety [7]. The use of police statistics alone can lead to un<strong>de</strong>restimation of road bur<strong>de</strong>nin LMICs, as previously illustrated by linking police and ambulance datasets in Karachi,Pakistan [64]. No notable research has been carried out to compare the differences in injuryreporting while linking different datasets with interurban road settings in LMICs [2, 3].ObjectivesThe objectives of this study were:1. To assess differences for crash and injury reporting in police, ambulance, an<strong>de</strong>mergency <strong>de</strong>partment (ED) datasets on an interurban road section in Pakistan.2. To estimate variations of traffic fatality and injury per vehicle-km travelled whenlinking these datasets.The manuscript of this study is currently prepared for submission: Bhatti JA, Razzak JA,Lagar<strong>de</strong> E, Salmi L.-R. Differences in police, ambulance, and emergency <strong>de</strong>partmentreporting of traffic injuries on Karachi-Hala road, Pakistan (Appendix 4).I have been involved in all steps of this study, from conception, to data collection, analysis,interpretation of results, and manuscript writing.29
- Page 1: Université Victor Segalen Bordeaux
- Page 4 and 5: Publications (peer-reviewed).......
- Page 6 and 7: Index of figuresFigure 1. Traffic f
- Page 8 and 9: AbbreviationsAKUAVCIBMIEASESSDALYDW
- Page 10 and 11: AbstractBackground: Interurban traf
- Page 12 and 13: L'objectif de cette thèse était d
- Page 14 and 15: 2. Background2.1 Road injury burden
- Page 16 and 17: 2.4 Multiple factors involved in tr
- Page 18 and 19: Figure 4. Percentage difference of
- Page 20 and 21: 2.7 Interurban road safety research
- Page 22 and 23: ObjectivesThe objectives of this fi
- Page 24 and 25: ResultsCrash burdenA total of 935 R
- Page 26 and 27: Figure 7. Monthly trend of traffic
- Page 30 and 31: MethodsThe study setting was 196-km
- Page 32 and 33: patients. In the ED, those with NIS
- Page 34 and 35: Table 6. Traffic injuries reported
- Page 36 and 37: 5. Analytical StudiesPrevious liter
- Page 38 and 39: under supervision of Dr. Sobngwi-Ta
- Page 40 and 41: Table 9. Situational variables at c
- Page 42 and 43: MethodsStudy design and settingStud
- Page 44 and 45: to Dec 08 were retrieved and photoc
- Page 46 and 47: normal zones. However, this associa
- Page 48 and 49: MethodsStudy design and settingsThe
- Page 50 and 51: Figure 14. Picture extracted of a h
- Page 52 and 53: located in built-up area in Pakista
- Page 54 and 55: Table 15. Differences in hazard per
- Page 56 and 57: 6. Discussion6.1 Originality of stu
- Page 58 and 59: Although adjustments are possible,
- Page 60 and 61: observational studies on how the de
- Page 62 and 63: to understand the deficiencies in t
- Page 64 and 65: [24] Damsere-Derry J, Afukaar FK, D
- Page 66 and 67: [69] Central Intelligence Agency. T
- Page 68 and 69: [111] Geurts K, Wets G, Brijs T, Va
- Page 70 and 71: [154] Rosenbloom T, Shahar A, Elhar
- Page 72 and 73: 4. Farooq U, Bhatti JA, Siddiq M, M
- Page 74 and 75: Appendix 1: Literature review on in
- Page 76 and 77: they identified a cluster of long b
- Page 78 and 79:
more cost-effective than redesignin
- Page 80 and 81:
Table 18. Traffic injury interventi
- Page 86 and 87:
Appendix 3: Study I supplementary r
- Page 88 and 89:
Appendix 4: Manuscript in preparati
- Page 90 and 91:
BACKGROUNDPakistan, located at the
- Page 92 and 93:
patients were recorded during their
- Page 94 and 95:
This might motivate police officers
- Page 96 and 97:
12. Peden M, Scurfiled R, Sleet D,
- Page 98 and 99:
Table 1. Traffic injuries reported
- Page 100 and 101:
Table 3. Ascertainment of police, a
- Page 102 and 103:
Appendix 5: Article published - Stu
- Page 104 and 105:
104
- Page 106 and 107:
106
- Page 108 and 109:
108
- Page 110 and 111:
Appendix 6: Article under review -
- Page 112 and 113:
1. INTRODUCTIONWith the aging of hi
- Page 114 and 115:
A total of 180 crashes were identif
- Page 116 and 117:
conspicuity at HWZs in Pakistan. 2
- Page 118 and 119:
21. Sobngwi-Tambekou J, Bhatti J, K
- Page 120 and 121:
Table 2. Highway work zone crash fa
- Page 122 and 123:
122
- Page 124 and 125:
ABSTRACTObjectives: Interurban road
- Page 126 and 127:
oad). A matched strategy was used t
- Page 128 and 129:
SitesOut of 131 crash sites identif
- Page 130 and 131:
Similarly, it was shown previously
- Page 132 and 133:
Majdzadeh, R., Khalagi, K., Naraghi
- Page 134 and 135:
Table 2. Characteristics of Pakista
- Page 136 and 137:
Table 4. Factors associated with ha
- Page 138 and 139:
Table 21. Situational factors at hi
- Page 140 and 141:
Table 23. Situational factors assoc