<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0256-9574</journal-id>
<journal-title><![CDATA[SAMJ: South African Medical Journal]]></journal-title>
<abbrev-journal-title><![CDATA[SAMJ, S. Afr. med. j.]]></abbrev-journal-title>
<issn>0256-9574</issn>
<publisher>
<publisher-name><![CDATA[Health and Medical Publishing Group]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0256-95742012000900018</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Drivers' risk profile indicates the need for a graduated driving licence in South Africa]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chokotho]]></surname>
<given-names><![CDATA[L C]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Matzopoulos]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Myers]]></surname>
<given-names><![CDATA[J E]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Beit Cure Hospital  ]]></institution>
<addr-line><![CDATA[Blantyre ]]></addr-line>
<country>Malawi</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Cape Town School of Public Health and Family Medicine Burden of Disease Research Unit]]></institution>
<addr-line><![CDATA[Cape Town ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,University of Cape Town Health Science Faculty School of Public Health and Family Medicine]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2012</year>
</pub-date>
<volume>102</volume>
<numero>9</numero>
<fpage>749</fpage>
<lpage>751</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_arttext&amp;pid=S0256-95742012000900018&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_abstract&amp;pid=S0256-95742012000900018&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><self-uri xlink:href="http://www.scielo.org.za/scielo.php?script=sci_pdf&amp;pid=S0256-95742012000900018&amp;lng=en&amp;nrm=iso&amp;tlng=en"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[BACKGROUND: Current driver mortality estimates do not consider the great differences in exposure across the population, giving a false impression that driver deaths are lowest in the youngest age group. Interventions to reduce risk among the younger age group include graduated driver licensing (GDL) - a three-phase licensing system for novice drivers consisting of a learner's permit, a provisional license, and a full license. OBJECTIVES: We calculated driver fatality rates per 10 000 registered drivers in each age group and assessed the need for stricter licensing conditions for novice and younger drivers. METHODS: Age-specific driver mortality rates were calculated using Western Cape Province 2008 mortuary data. The total number of licensed drivers in each age group served as the denominator. Incidence rate ratios were calculated using the age group of 65 - 79 years as the reference. Chi-square test of trend on incidence rate ratios for the age groups was done. Statistical significance was set as p<0.05. RESULTS: There were 339 driver deaths; mean age was 39.4±13.8 years, and males accounted for 80% of the deaths. Age-specific driver mortality rates were highest in the youngest age group (15 -19 years). There was a significant progressive decrease (except for the age group 45 - 49 years) in the risk of death from road traffic injuries with increasing age compared with the age group >65 years (chiČ for trend p<0.0001). CONCLUSION: This study showed a relationship between driver's mortality risk and younger age, and underscores the need for introduction of a GDL programme in South Africa.]]></p></abstract>
</article-meta>
</front><body><![CDATA[ <p align="right"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>RESEARCH</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="4"><b>Drivers' risk    profile indicates the need for a graduated driving licence in South Africa</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>L C Chokotho<sup>I</sup>;    R Matzopoulos<sup>II</sup>; J E Myers<sup>III</sup></b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><sup>I</sup>MB    BS, FCS (ECSA), MPH. Beit Cure Hospital, Blantyre, Malawi    <br>   <sup>II</sup>BBusSci, MPhil (Epidemiology). School of Public Health and Family    Medicine, University of Cape Town, and Burden of Disease Research Unit, Medical    Research Council, Cape Town    <br>   <sup>III</sup>BSc, MB ChB, DTM&amp;H, MD. Centre for Occupational and Environmental    Health Research (COEHR), School of Public Health and Family Medicine, Health    Science Faculty, University of Cape Town </font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p> <hr size="1" noshade>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>BACKGROUND:</b>    Current driver mortality estimates do not consider the great differences in    exposure across the population, giving a false impression that driver deaths    are lowest in the youngest age group. Interventions to reduce risk among the    younger age group include graduated driver licensing (GDL) - a three-phase licensing    system for novice drivers consisting of a learner's permit, a provisional license,    and a full license.    <br>   <B>OBJECTIVES:</b> We calculated driver fatality rates per 10 000 registered    drivers in each age group and assessed the need for stricter licensing conditions    for novice and younger drivers.    <br>   <B>METHODS:</b> Age-specific driver mortality rates were calculated using Western    Cape Province 2008 mortuary data. The total number of licensed drivers in each    age group served as the denominator. Incidence rate ratios were calculated using    the age group of 65 - 79 years as the reference. Chi-square test of trend on    incidence rate ratios for the age groups was done. Statistical significance    was set as p&lt;0.05.    <br>   <b>RESULTS:</b> There were 339 driver deaths; mean age was 39.4&plusmn;13.8    years, and males accounted for 80% of the deaths. Age-specific driver mortality    rates were highest in the youngest age group (15 -19 years). There was a significant    progressive decrease (except for the age group 45 - 49 years) in the risk of    death from road traffic injuries with increasing age compared with the age group    &gt;65 years (chi<sup>2</sup> for trend <i>p</i>&lt;0.0001).    <br>   <B>CONCLUSION:</b> This study showed a relationship between driver's mortality    risk and younger age, and underscores the need for introduction of a GDL programme    in South Africa.</font></p> <hr size="1" noshade>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Road traffic injuries    (RTIs) cause the death of more people aged 5 - 29 years than does HIV/AIDS.<sup>1</sup>    The World Health Organization predicts that, by 2030, RTIs will rise from the    9th (in 2004) to the 5th leading cause of death, while HIV/AIDS will drop from    the 6th to the 10th ranking.<sup>2</sup></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">In South Africa,    injuries including RTIs are one constituent of the quadruple burden of disease,    together with diseases related to poverty, chronic lifestyle diseases and HIV/AIDS.<sup>3</sup>    RTIs were ranked 9th among the leading causes of death in 2000, but the 5th    leading cause of premature mortality and 4th leading contributor to the burden    of disease as measured in disability adjusted life years (DALYs).<sup>4</sup>    The burden in Western Cape Province was 40% higher than the national figure.<sup>4</sup></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Drivers accounted    for 29% of fatalities nationally, and 31% in the Western Cape Province.<sup>5</sup>    There have recently been calls in South Africa to introduce stricter licensing    conditions for younger drivers in the form of graduated driver licensing (GDL),<sup>8,9</sup>    which is a three-phase licensing system for novice drivers consisting of a learner's    permit, a provisional license, and a full license.<sup>6</sup> Although the    exact requirements and the minimum holding periods for each level of GDL vary    among countries, one common feature of the learner's permit phase is that learner    drivers only drive under supervision of a fully licensed driver.<sup>7,10,11</sup></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Other restrictions    that might be directed at learner drivers include a zero blood alcohol content    limit, restrictions on night-time driving, limiting the number of passengers,    and requiring compulsory use of seat belts for all vehicle occupants.<sup>7,10,11</sup>    The provisional license phase allows unsupervised driving but also with restrictions    for a specified period of time, and a full license is then only granted after    successful completion of the prior phases.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Current estimates    of RTI risk in South Africa are expressed as injuries or deaths per 10 000 motor    vehicles or per 100 000 population for specific time periods.<sup>5</sup> Young    drivers are considered to constitute a particularly high-risk group,<sup>6,7</sup>    but the true nature of the risk is not usually appreciated because of the use    of an inappropriate denominator. Fatality or injury estimates expressed as counts    tend to under-represent the risk associated with young drivers, who comprise    a relatively small proportion of the total driving population. To portray fatality    risks more accurately, we calculated age-specific driver fatality rates per    10 000 registered drivers, and assessed whether stricter licensing conditions    for novice and younger drivers are needed.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Methods</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">RTI mortality data    in Western Cape Province for 2008 were extracted from the database of the Department    of Health's Forensic Pathology Service. This provided data from the 18 provincial    mortuaries that collect information on all injury-caused deaths including those    that are road traffic related. South Africa's strict medico-legal legislation    requires that all non-natural deaths should be examined by a district surgeon,    forensic pathologist or medical practitioner,<sup>12</sup> and hence it was    assumed that mortuaries can provide full coverage of all non-natural deaths    in the province.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Age-specific driver    mortality rates were calculated using the total number of licensed drivers in    each age group in Western Cape Province obtained from the electronic National    Traffic Information System as denominators.<sup>13</sup> The data were categorised    by 5-year intervals to the age of 64 years, with an additional category for    drivers &gt;65 years old.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Descriptive analysis    of demographic characteristics and calculation of incidence rate ratios were    done using STATA version 10.0.<sup>14</sup> Rate ratios used the age group 65    - 79 years as the reference category, and incidence rate ratios in each age    group were compared with the reference category. Comparison of incidence rate    ratios between adjacent age groups was also done. A chi-square test of trend    on incidence rate ratios for the age groups was done. Statistical significance    was set as <i>p</i>&lt;0.05.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Ethics approval    to conduct the study was obtained from the University of Cape Town's Ethics    Committee (HREC REF:295/2010) and approved by the Western Cape Department of    Health's Provincial Health Research Committee.</font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Results</b></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">There were 339    driver deaths in 2008 with a mean age of 39.4&plusmn;13.8 years, with males    accounting for 80% of the deaths. Calculation of age-specific mortality rates    among motor vehicle drivers using the total number of licensed drivers in each    age group as the denominator demonstrated the considerably higher rates among    younger drivers (<a href="#f1">Fig. 1</a>).</font></p>     <p><a name="f1"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/samj/v102n9/18f01.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#f1">Fig.    1</a> provides a clearer representation of increased fatality risk among young    drivers than the counts data in <a href="#f2">Fig. 2</a>, which shows the least    number of driver fatalities in the youngest age group.</font></p>     <p><a name="f2"></a></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p align="center"><img src="/img/revistas/samj/v102n9/18f02.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><a href="#t1">Table    1</a> shows that there is an overall progressive decrease (except for the age    group 45 - 49 years) in the relative risk of death from a RTI with increasing    age compared with the age group &gt;65 years. This trend was statistically significant    (chi<sup>2</sup> for trend p&lt;0.0001).</font></p>     <p><a name="t1"></a></p>     <p>&nbsp;</p>     <p align="center"><img src="/img/revistas/samj/v102n9/1801.jpg"></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Only incidence    rate ratios between adjacent age groups 45 - 49 and 50 - 54 years were significantly    different (p=0.002). Comparison of incidence rate ratios between the other adjacent    age groups did not reach statistical significance.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>Discussion</b></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">This study has    found definite decreasing age-specific mortality rates and risks of death with    increasing age among drivers. The graduated driving license (GDL) is an intervention    that has been implemented in some countries to reduce crash rates and resulting    higher mortality rates in the younger age group. The increased crash rates among    young drivers have been attributed to a combination of several factors including    immaturity, inexperience in recognising risky situations, and risk-taking behaviour.<sup>7</sup>    The GDL therefore aims to reduce fatalities by increasing the opportunity for    young, inexperienced drivers to obtain more supervised driving experience and    limit their exposure to risky driving situations.<sup>10</sup> The significant    decreasing trend in risk of death among drivers with increasing age found in    this study is striking, which clearly indicates the need for an intervention    such as a GDL programme that targets the younger age groups in South Africa    to offset the trend. The specific requirements and restrictions at each level    of GDL must be agreed upon, depending on the risk factor profile of traffic    deaths and availability of resources in South Africa. Since inexperience and    immaturity of novice drivers also expose other road users (e.g. passengers and    pedestrians) to increased risk of traffic-related injuries, reducing crash risk    among younger drivers as a result of a GDL programme will also reduce crash    risk for other road users.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Many GDL programmes    in the USA and other countries have demonstrated their efficacy in reducing    youngest drivers' risk of death by 20 - 40% regardless of their specific details.<sup>7</sup>    The benefits of GDL are clear as some evaluations have found reduced crash rates    among novice drivers of all ages - not only teenagers - and also that drivers    who began driving under a GDL system have lower crash rates in later years than    similar-age nonGDL drivers.<sup>15</sup></font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Denominators used    to calculate commonly used road traffic accident indicators such as injuries    or deaths per 10 000 motor vehicles or per 100 000 population for specific time    periods, are considered as reasonable measures of the population exposed to    the risk of death from a traffic accident during the same time period in which    injuries or deaths in the numerator occurred.<sup>16</sup> However, these are    crude measures because of the vast differences in exposure across the population.    For instance, the denominator for deaths per 100 000 population includes other    people who are not on the roads; and not all inhabitants are exposed throughout    the year.<sup>16</sup> Therefore it is necessary to account for this in the    denominator - but this is difficult to measure. Similarly, age-specific driver    mortality 'rates' calculated by using the total population in a specific age    group as the denominator do not provide an accurate risk profile because not    all people in that particular age group are drivers, and therefore do not have    the same exposure as those in the numerator. Drivers in the younger age groups    also comprise a relatively small proportion of the total population in their    specific age group. These factors result in an inflated denominator and an apparent    low risk of death from RTIs. The importance of using an appropriate denominator    when assessing risk was portrayed in this study in that when the actual number    of drivers at risk was used as a denominator in calculating the age-specific    mortality rate estimates, the higher risk in younger age groups became apparent.    This is in contrast to <a href="#f2">Fig. 2</a>, where counts were used as estimates    of deaths in each group, and shows how misleading simple count data can be.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Driver fatality    data are usually presented without considering the underlying population at    risk, giving a wrong impression that driver deaths are lowest in the younger    age group.<sup>17,18</sup> The study has therefore highlighted the importance    of using a proper epidemiological approach that compares like with like where    the actual population at risk constitutes the denominator, in calculating age-specific    mortality rates and risk ratios. This approach should be used throughout where    possible in analysing traffic fatality statistics pertaining to motor car and    truck or motorcycle drivers.</font></p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">A limitation of    this study is that the results did not take into account the influence of other    risk factors associated with increased risk of death among drivers such as high    blood alcohol concentration or use of seat belts, as such data were not routinely    available. Lack of data is a major shortcoming of official road traffic surveillance    systems in South Africa, and there is an urgent need to improve these.<sup>19</sup>    Another limitation is that we used age as a proxy for driving experience. Therefore,    even though our choice of the denominator was more revealing of the increased    risk of death among younger drivers than older ones, the results could be improved    further by stratifying according to actual years of driving experience, and    looking at other measures of exposure such as kilometres travelled. In the absence    of reliable data for unlicensed drivers, we have also assumed that the age profile    of unlicensed drivers is similar to licensed drivers and that the association    between driving experience and crash risk would be consistent for licensed and    unlicensed drivers. Notwithstanding these limitations, this study has provided    a fruitful description of driver's mortality risk by age and has shown the need    for introduction of a GDL programme in South Africa to reduce the risk of death    among younger drivers.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="3"><b>References</b></font></p>     <!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">1.&nbsp;Global    Burden of Disease. Injuries and Violence: The Facts. Geneva: World Health Organization,    Global Burden of Disease, 2004. <a href="http://www.who.int/violence_injury_prevention/key_facts/VIP_key_" target="_blank">http://www.who.int/violence_injury_prevention/key_facts/VIP_key_</a>    facts.pdf (accessed 17 March 2011).</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551797&pid=S0256-9574201200090001800001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">2.&nbsp;World Health    Organization. World Health Statistics 2008. Geneva: World Health Organization,    2008. <a href="http://www.who.int/whosis/whostat/2008/en/index.html" target="_blank">http://www.who.int/whosis/whostat/2008/en/index.html</a>    (accessed 17 March 2011).</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551798&pid=S0256-9574201200090001800002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">3.&nbsp;Bradshaw    D, Schneider M, Dorrington R, Bourne DE, Laubscher R. South African cause-of-death    profile in transition - 1996 and future trends. S Afr Med J 2002;92:618-623.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551799&pid=S0256-9574201200090001800003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">4.&nbsp;Bradshaw    D, Groenewald P, Laubscher R, et al. Initial burden of disease estimates for    South Africa, 2000. 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Graduated driver licensing: what works? Inj Prev 2002;8(Suppl II):ii32-ii38.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551802&pid=S0256-9574201200090001800006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">7.&nbsp;Hedlund    J, Shults RA, Compton R. What we know, what we don't know, and what we need    to know about graduated driver licensing. 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The strength of graduated drivers license    programs and fatalities among teen drivers and passengers. Accid Anal Prev 2006;38:135-141.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551806&pid=S0256-9574201200090001800010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">11.&nbsp;Zhao J,    Mann RE, Chipman M, Adlaf E, Stoduto G, Smart RG. The impact of driver education    on self reported collisions among young drivers with graduated license. Accid    Anal Prev 2006;38:35-42.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551807&pid=S0256-9574201200090001800011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">12.&nbsp;Republic    of South Africa. Inquests Act. Act No. 58, Vol. 58. Cape Town, Government of    South Africa, 1959.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551808&pid=S0256-9574201200090001800012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">13.&nbsp;eNATIS.    Licensed Drivers Statistics (2010).</font></p>     ]]></body>
<body><![CDATA[<!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">14.&nbsp;StataCorp.    Stata Statistical Software: Release 10. College Station, TX, USA: StataCorp,    2007.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551810&pid=S0256-9574201200090001800013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">15.&nbsp;Begg D,    Stephenson S. Graduated driver licensing: the New Zealand experience. J Safety    Res 2003;34:99-105.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551811&pid=S0256-9574201200090001800014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">16.&nbsp;Bangdiwala    SI, Anzola-Perez E, Glizer IM. Statistical considerations for the interpretation    of commonly utilized road traffic accident indicators: implications for the    developing countries. Accid Anal Prev 1985;17(6):419-427.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551812&pid=S0256-9574201200090001800015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">17.&nbsp;Butchart    A, Peden M, Matzopoulos R, et al. The South African national non-natural mortality    surveillance system - rationale, pilot results and evaluation. S Afr Med J 2001;91(5):408-417.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551813&pid=S0256-9574201200090001800016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">18.&nbsp;Lerer    LB, Matzopoulos RG, Phillips R. Violence and injury mortality in the Cape Town    metropole. S Afr Med J 1997;87:298-301.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551814&pid=S0256-9574201200090001800017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">19.&nbsp;Chokotho    L, Matzopoulos R, Myers JE. Assessing quality of existing data sources on road    traffic injuries (RTIs) and their utility in informing injury prevention in    the Western Cape Province, South Africa. Traffic Inj Prev (in press).</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=551815&pid=S0256-9574201200090001800018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2">Accepted 16 July    2012.</font></p>     <p>&nbsp;</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana, Arial, Helvetica, sans-serif" size="2"><b>Corresponding    author:</b> L Chokotho (<a href="mailto:namayombodr@yahoo.co.uk">namayombodr@yahoo.co.uk</a>)</font></p>      ]]></body>
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