The psychiatric case register: noble past, challenging present, but exciting future

SummaryCase registers have been fundamental to mental health research from the early asylum studies onwards. Having declined in popularity over the past 20 years, they are likely to see a resurgence of interest with the advent of electronic clinical records and the technological capacity to derive anonymised databases from these.

Probabilistic models to analyze psychiatric contacts

SummaryObjective – To present three probabilistic models (Poisson, negative binomial, Waring) to analyze the distribution of the number of contacts of patients followed using a psychiatric case register. Design – Longitudinal to obtain the distribution of the number of contacts (during 91 days following that of the first contact) observed on patients followed using the South-Verona Psychiatric Case Register during the period 1/1/79-31/12/91. Results – There were a total number of 6913 contacts on 3454 subjects. The chi-square test for the goodness of fit yields a significant result both for the Poisson distribution (3580 with 6 degrees of freedom, p < 0.001) and for the negative binomial distribution (65.47 with 18 degrees of freedom, p < 0.001); on the other hand a non significant result was obtained for the Waring distribution (25.31 with 19 degrees of freedom, p = 0.151). Conclusions – The Poisson distribution gave a very poor fit for the distribution of contacts. The negative binomial distribution could be employed to analyze the pattern of contacts when the right tail of the distribution is not important. The Waring distribution is the best of the three presented. Moreover, the variance of the Waring distribution can be decomposed in three components: a random component, a component which accounts for endogenous factors and another component which accounts for esogenous factors. Therefore the Waring distribution is useful when one wants to make comparisons between psychiatric case registers of the same country or of different countries.

The costs of community-based psychiatric care for first-ever patients. A case register study

Background. Analysing costs measures in conjunction with psychiatric case register (PCR) data can provide important epidemiologically-based information on resource utilization. Costing the service use patterns of first-ever patients can indicate the shape and likely resource consequences for mental health services operating within a community-based system of care.Methods. Yearly costs were calculated for the 299 first-ever patients and 768 longer-term patients who contacted the South-Verona Psychiatric Case Register between 1 January 1992 and 31 December 1993. Bivariate and multivariate analyses were used to compare costs between these groups and to test the associations between costs and the sociodemographic and diagnostic data recorded on the PCR.Results. For all diagnostic groups identified, first-ever patients were found to be less costly to support than longer-term patients, even after adjustment for various factors, including whether patients were single consulters. When multivariate analyses were employed, between 20% and 69% of the cost variation for first-ever patients could be explained by patient and other characteristics, and the effect of the contact (first or subsequent) variable was reduced.Conclusion. This study considered only the costs to the specialist psychiatric services but the methodology allows the likely annual resource implications of supporting new patients to be predicted from data collected at first contact. Such information can help ensure that services are adequately funded and that the resources are deployed appropriately between client groups.