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Published online by Cambridge University Press: 07 July 2014
In theory, the utilization of health resources would vary with need. In an ideal world, health care providers would configure their resources and target their treatment programmes according to validated predictors of need. Such models would be based upon socio-demographic variables in the population known to correlate closely with psychiatric morbidity, which had been derived from large data sets having wide applicability and generalizability. They would include technology allowing locality adjustments for small areas with high densities of homelessness, residential accommodation for the severely ill, or areas with problems of substance abuse. Our ideal model would be continually monitored against reliable data derived from real time service use, fed back to providers and ‘fine tuned’ to reflect secular trends in socio-demographic risk factors and changing patterns of need.