Sara, G., Luo, L., Carr, V. J, Raudino, A., Green, M. J, Laurens, K. R, Dean, K., Cohen, M., Burgess, P. & Morgan, VA. (2014). Comparing algorithms for deriving psychosis diagnoses from longitudinal administrative clinical records. Social Psychiatry and Psychiatric Epidemiology,49(11), 1729-1737. Germany: Springer Medizin. Retrieved from https://doi.org/10.1007/s00127-014-0881-5
Registers derived from administrative datasets are valuable tools in psychosis research, but diagnostic accuracy can be problematic. We sought to compare the relative performance of four methods for assigning a single diagnosis from longitudinal administrative clinical records when compared with reference diagnoses.