Forensic human identification: retrospective investigation of anthropological assessments in the Western Cape, South Africa.

Abstract

The identification of unknown persons, particularly those who are decomposed or burnt, is a global challenge. Forensic Anthropology Cape Town (FACT) is a service provider that assists the South African state with the identification of human remains. However, empirical data pertaining to anthropologically analysed forensic cases in the Western Cape Province of South Africa are lacking. Therefore, anthropological data pertaining to the forensic cases submitted to FACT between 2006 and 2018 from Forensic Pathology Services were retrospectively reviewed (n = 172). This study also sought to assess demographic, traumatic and pathological factors that impacted successful identification. Most decedents were male (67%) and older than 35years (54%). While ante-mortem trauma was observed in 41% of decedents, the lack of medical records on ante-mortem injuries hindered the use of this information for identification. Positive identifications were reached for 37% of decedents, and of these, anthropological estimations were correct in 98% of cases for sex, 84% of cases for age at death and 100% of cases for stature. Considering globally accepted accuracies of 70-80%, these estimations were considered highly accurate, suggesting the anthropological methods used are suited to the population. However, 63% of cases remained unidentified, and this study showed that skeletal completeness and pathological conditions were the main factors that hindered demographic estimations. Lastly, not all unidentified bodies in the province were referred to FACT; given the highly accurate estimations, these data advocate for the routine, if not mandatory, use of forensic anthropology services for skeletonised remains in South Africa, with the overall purpose of positively impacting human identification. To improve identification rates globally, these data highlight the value of retrospective and region-specific studies to identify strengths and weaknesses in the system.