Hospital Episode Statistics [HES] are often used by hospital managers and politicians as a reflection of departmental workload. The accuracy of these data is often questioned. We aimed to ascertain the reliability of this database for trauma admissions. Between 2002 and 2003, all admissions were recorded by doctors using a separate departmental database. Data were collected during the daily trauma meetings and compared with the HES returns for the same period. 2496 patients were recorded in the trauma admissions database. Overall, 36.4% of the patients were either not recorded by the HES database or wrongly coded in terms of type of admissions or diagnosis. HES data for all 2496 records was analysed by type of admissions and speciality.4.2% of trauma patients were incorrectly classified as elective or day cases. 2.9% of trauma patients admitted to hospital were not recorded in the HES data as orthopaedic admission. The accuracy of HES diagnosis coding was tested on 300 records randomly selected by a statistical package. HES recorded the wrong diagnosis in 29.3% of cases. A significant number of trauma cases were not counted in the HES data. This may have significant implications for trauma funding. HES data does not accurately record diagnosis and therefore can not be used as a research tool for specific injuries. Data recording practice should be changed to improve HES data accuracy.
HES data for all 2496 records was analysed by type of admissions and speciality. 4.2% of trauma patients were incorrectly classified as elective or day cases. 2.9% of trauma patients admitted to hospital were not recorded in the HES data as orthopaedics admission. The accuracy of HES diagnosis coding was tested on 300 records randomly selected by a statistical package. HES recorded the wrong diagnosis in 29.3% of cases.
HES data does not accurately record diagnoses and therefore can not be used as a research tool for specific injuries. Data recording practice should be changed to improve HES data accuracy.
The wrist is arguably the most complex joint in the body and is essential for optimal hand function. The joint may be represented as two roughly orthogonal hinge axes, providing flexion-extension and radial-ulnar deviation. The location and orientation of these axes with respect to the underlying anatomy is essential for the design of successful joint prostheses. A population study was performed in order to obtain the parameters of this two-hinge joint. Data for 108 normal right wrists was gathered using a Fastrak electrogoniometer with sensors fixed to the distal medial radial styloid and the distal third metacarpal head. Data was recorded as a series of three-dimensional coordinates covering the entire locus of movement. The two-hinge geometry of the joint was represented mathematically with nine parameters describing the configuration of the axes and two angles controlling rotation about these axes. The configuration giving the closest kinematic match to the experimental data was determined using two nested optimisation processes. During the inner optimisation process, the third metacarpal head was brought as close as possible to each of the experimental points in turn by adjusting the two positioning angles. The sum of distances from each experimental point to the point of closest approach gave the “cost” of the current configuration. The outer optimisation process repeated the inner process iteratively, minimising the cost by adjusting the nine configuration parameters. The double optimisation method was found to offer an innovative solution to the problem of analysing kinematic data from a population study. The mean joint configuration showed the axis of radial-ulnar deviation to be 1.9 mm (sd = 12.5 mm), distal to the flexion-extension axis, with axes almost orthogonal to one another. This data together with the radii of the rotations is invaluable in determining the optimal articulation geometries for wrist joint replacement prostheses.
