Results There was mo<strong>de</strong>rate agreement between the raters’ first and second assessments of the 6 repeated vi<strong>de</strong>os (Weighted Kappa = 0.52). Of 72 pairs of ratings, 42 (58%) were exactly the same, 29 (42%) differed by ±1, and only 1 (1%) differed by ±2. Agreement among the 12 raters was fair for assessment of the individual vi<strong>de</strong>os (Kappa = 0.25). Agreement was higher among the gait laboratory PTs (Kappa = 0.31) compared with the other raters (Kappa = 0.22) and for scores at the ends of the scale (Kappa 0.32 – 0.52 for scores 1 and 4) than for intermediate scores (Kappa 0.09 – 0.23 for scores 2 and 3). Agreement among the raters was lower for pre- to post-operative change (Kappa = 0.11). Agreement was highest for scores of – 1 (Kappa = 0.37) and 3 (Kappa = 0.53) among the gait laboratory PTs although even the PTs had only slight agreement in the intermediate scores (Kappa
O-30 GAITABASE: NEW APPROACH TO CLINICAL GAIT ANALYSIS Tirosh Oren, PhD 1 , Baker Richard, PhD 1,2,3 1 Murdoch Childrens Research Institute, Royal Children’s Hospital, Victoria, Australia 2 Hugh Williamson Gait Analysis Laboratory, Royal Children’s Hospital, Victoria, Australia 3 University of Melbourne, Victoria, Australia Summary/conclusions A web interfaced repository for gait analysis data, the GAITABASE, has been established. It allows users anywhere in the world to contribute data and to view all the data selected for specific groups of subjects and specific conditions of data capture. It’s use has been illustrated in the context of a mock cohort study of children with CP who have un<strong>de</strong>rgone single-event multi-level surgery which inclu<strong>de</strong>s data from 2 centres in USA, one in Europe and one in Australia. Introduction Decision-making in clinical gait often relies on comparing gait patterns from populations with and without gait pathology. Such comparison, however, requires dataset from large sample size population differed by age and gen<strong>de</strong>r, which in most cases does not exist (1,2,3,4). The objectives of a valid international gait analysis repository will be to allow orthopaedic surgeons, physiotherapists, biomechanical engineers, and human movement specialists to share data from large population, create and select large normative dataset, and to give a valuable insight into how effective specific interventions have been for others. Lately, researches began to build gait analysis repository in their own local laboratories (5, 6). Unfortunately, these repository systems did not provi<strong>de</strong> the capability of sharing gait patterns between national and international clinics and research groups. Moreover, they were still limited by the small patients sample size. We present here the GAITABASE, a web interface database for gait analysis, that in the future will provi<strong>de</strong> ways of collecting and collating, and accessing data from all participating clinical and research centres around the world. Four main concepts are implemented to ensure that the system is flexible: 1) secure archiving of processed gait data, 2) flexible personalised filter mechanism that allow users to create criteria for querying gait data, 3) visualising the results in appropriate tables and graphs, 4) export query results for statistical analysis. To illustrate the benefits of GAITABASE we will present a case study of Cerebral Palsy patients where gait analysis was performed before and after an intervention. Statement of clinical significance GAITABASE is a valuable resource and tool for the international clinical and research community. It provi<strong>de</strong> ways of sharing data from all participating centres to establish normative and pathology datasets of much larger numbers of patients than could be achieved by any single centre. The accumulated stored data will facilitate clinicians in comparing their own gait data with others, and will give a valuable insight into how effective specific interventions have been for others. Methods GAITABASE is web-based interface utilising MySQL database, HTML, CSS, JavaScript, PHP, and Fusebox 3.0, which is hosted by the Royal Children Hospital and accessed through the Murdoch Children’s Research Institute web site. Stored data inclu<strong>de</strong>: 1) patient’s data such as co<strong>de</strong>, pathology, gen<strong>de</strong>r, 2) temporal-spatial parameters such as walking speed, stri<strong>de</strong> length and ca<strong>de</strong>nce (as measured by GaitRite system), and 3) time-normalized 3D kinematic and kinetic data (joint angles, moments, powers) which are uploa<strong>de</strong>d from c3d files. Ethical approval has been obtained to receive, store and publish <strong>de</strong>-i<strong>de</strong>ntified gait data. Contributors of - 114 -