Appendix 1: Literature review on interurban road injury bur<strong>de</strong>n in LMICsMethodsSeveral approaches can be used to review transport safety research such as safety promotionmo<strong>de</strong>l , Haddon’s matrix, and the three ‘E’ (Enforcement, Engineering, and Education) [57,156-158]. For this systematic review, the public health approach was used. Consi<strong>de</strong>ring, thisinterrelationship of risk factor, crash outcome, trauma care, and their reporting, we reviewedstudies if their objective correspon<strong>de</strong>d with one or more of the following research interests:1. Assessing traffic injury bur<strong>de</strong>n (outcome) with respect to age, sex, and road user type.2. Assessing factors associated with outcome.3. Assessing trauma care of crash and injury event and their outcome.4. Assessing reporting mechanism and bias for assessing traffic bur<strong>de</strong>n outcomes, riskfactors, and trauma care.5. Assessing the impact of traffic safety interventions.The focus was studies with interurban road settings to document research needs. Originalresearch published in peer-reviewed journals in<strong>de</strong>xed on MEDLINE for a period from Jan1995 to Dec 2009 was inclu<strong>de</strong>d; reviews, editorials, commentaries, and letters to the editorwere exclu<strong>de</strong>d. Study title and abstract were searched using the following Medical SubjectHeadings (MeSH): “traffic acci<strong>de</strong>nt” and “<strong>de</strong>veloping countries” or individual names ofLMICs given in “Global Status Report on Road Safety.” Then articles concerning interurbanroads were selected. Articles written in English, French, Portuguese, Spanish, and RomanianLanguage were inclu<strong>de</strong>d if they satisfied the following criteria [159]: objective(s) clearlystated; inclusion criteria given and a<strong>de</strong>quate; ethical standards observed; reliable and validprincipal measures.ResultsA total of 3 663 abstracts were retrieved. After removing double entries and case reports, wewere left with 1 960 study abstracts (Figure 15). After careful search of studies conducted athighway or interurban road settings, 37 abstracts correspon<strong>de</strong>d to our criteria. Full texts of 32studies were available; however, we did not inclu<strong>de</strong> a study reporting the results of trafficmanagement intervention using simulation methods.Road crash and injury bur<strong>de</strong>nA Kenyan study showed that almost 60% of police-reported injury crashes occurred oninterurban roads [39]. Injuries including fatalities per crash were higher for interurban roads(1.8) than urban roads (1.4). Interurban traffic crash, fatality, and injury per vehicle-km werereported in one Egyptian study only. Average traffic fatality per km was 6 per 100 millionvehicles-km (range 3 to 11) in the prece<strong>de</strong>nt three-year period [18]. Injury risk was 35 per 100million vehicle-km (range 29 to 79). Fatality per crash ratio was on average 0.30 (range 0.17-0.43) on Egyptian interurban roads [18]. A Chinese study, where fatalities and daily trafficmeasures were available, showed that fatality could vary from 31.1 to 72.8 per 100 millionvehicle-km travelled on mountainous, un-separated interurban roads [48].Road users involved in these crashes were mostly aged 15-45 years-old and men [22, 31].Although some studies showed that pe<strong>de</strong>strians [37] and passengers of public transportvehicles [19] were over-involved in highway crashes, road user distribution was almost neverreported.74
Figure 15. Literature available for assessing research needs on interurban traffic safety(1995-2009)Original articlesN=1 960Related to highwayN=37Full text retrievedN=32Qualified for reviewN=31Bur<strong>de</strong>n CrashRoad CareN=5 * factors Behaviours EvaluationN=18 * N=9 * N=0InterventionsN=6 ** A research may have been counted for one or more categoriesQuality of RTC reportingOut of 18 studies on crash factors and outcome, nine used police-related sources [18, 19, 21,23, 26, 35, 37, 39, 48]. Among them, crash reports were analyzed in only four studies [19, 21,35, 37]. In three studies, data from traffic agencies was used to assess crash factors, includingtwo where <strong>de</strong>tailed reports were available [28, 40, 45]. Four studies used ambulance-relatedcrash reports which inclu<strong>de</strong>d information on injured patients [30-33]. Emergency <strong>de</strong>partment(ED) statistics for assessing RTI bur<strong>de</strong>n were used in three studies [22, 40, 43]. Only onestudy used multiple crash data sources but did not assess discrepancies between them [40].Quality of documentation was assessed for ED data, only type of data that showed that seatbeltuse was reported in 27.3%, crash factors in 18.8%, alcohol use in 18.2%, and extricationmethods in 3.1% of crash cases (including highways) reporting to ED [43].Crash types were mostly <strong>de</strong>fined using police or traffic agency specific <strong>de</strong>finitions,international <strong>de</strong>finitions such as the Microcomputer Acci<strong>de</strong>nt Analysis Package or Externalinjury co<strong>de</strong>s were available in only five studies [19, 30-33]. Further, traffic fatality in all crashbur<strong>de</strong>n studies was not <strong>de</strong>fined according to the WHO <strong>de</strong>finition requiring RTI patientfollow-up to 30 days. Similarly, in most studies, injury severity was <strong>de</strong>fined as ‘mild’ mostlywhen treated at crash scene and ‘severe’ when requiring a hospital visit or admission [30-33].Only one study <strong>de</strong>fined injuries by using the New Injury Severity Score (NISS) [36].We found four studies related to i<strong>de</strong>ntification and reporting of high-risk crash sites oninterurban roads in LMICs [22, 28, 35, 39]. A Kenyan study reported that a total of 145 highrisksites with five or more crashes (N=1 261) were i<strong>de</strong>ntified on rural road networks in oneyear, but no <strong>de</strong>tails were given regarding whether they were <strong>de</strong>fined using Global PositioningSystem (GPS) coordinates or other length measures [39]. A Turkish study showed thatinformation on traffic crashes is mostly recor<strong>de</strong>d in textual form and is not geo-referenced,which could pose problems in their i<strong>de</strong>ntification and improvement afterwards [28]. Theauthors used GPS coordinates of sites and assessed the usability of this system from a LMICpoint of view. Similarly, the Indian study examined the usefulness of GPS coordinates toi<strong>de</strong>ntify specific injury events on a highway [22]. Using hospital data and onsite investigation,75
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Université Victor Segalen Bordeaux
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Publications (peer-reviewed).......
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Index of figuresFigure 1. Traffic f
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AbbreviationsAKUAVCIBMIEASESSDALYDW
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AbstractBackground: Interurban traf
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L'objectif de cette thèse était d
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2. Background2.1 Road injury burden
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2.4 Multiple factors involved in tr
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Figure 4. Percentage difference of
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2.7 Interurban road safety research
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ObjectivesThe objectives of this fi
- Page 24 and 25: ResultsCrash burdenA total of 935 R
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- Page 28 and 29: Injury outcome patternsMost of inju
- Page 30 and 31: MethodsThe study setting was 196-km
- Page 32 and 33: patients. In the ED, those with NIS
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- Page 36 and 37: 5. Analytical StudiesPrevious liter
- Page 38 and 39: under supervision of Dr. Sobngwi-Ta
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- Page 42 and 43: MethodsStudy design and settingStud
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- Page 90 and 91: BACKGROUNDPakistan, located at the
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- Page 98 and 99: Table 1. Traffic injuries reported
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- Page 112 and 113: 1. INTRODUCTIONWith the aging of hi
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ABSTRACTObjectives: Interurban road
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oad). A matched strategy was used t
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SitesOut of 131 crash sites identif
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Similarly, it was shown previously
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Majdzadeh, R., Khalagi, K., Naraghi
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Table 2. Characteristics of Pakista
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Table 4. Factors associated with ha
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Table 21. Situational factors at hi
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Table 23. Situational factors assoc