Modelling the Mental Health Referral Process View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1979

AUTHORS

T. L. Dunn , N. Hughes , M. Luck , G. Overton

ABSTRACT

Some years ago three of the authors were members of a team undertaking operational research into mental health services in the Rugby area.(1) It was essentially a descriptive project which identified the many decision-makers in the mental health system, the flows of patients through the system — the referral process — and to some extent identified whether there were options. Members of the team, both those who are actors in the mental health service and those who are researchers, felt that this qualitative understanding of the system ought to be developed. More elaborate surveys could have been carried out to establish detailed quantitative measurements but the team felt that this would not give deeper understanding when the system is so dynamic and the decision-making is so dispersed. It is more important to take the more difficult research option of going deeper into the decision-making processes which drive the system. One way of doing this would be to observe the decision-makers, perhaps interviewing them before and after making decisions. However this approach will obviously take a long time to get an adequate sample and it is doubtful how much would be gained. The team therefore turned to the idea of an interactive computer simulation which could be used to simulate a number of alternative futures with the decisionmaker at the terminal. The preliminary stage of this research has been completed and is reported here. It is not yet developed to the stage that the simulation is rich enough for the decision-maker to feel close to reality, but only to demonstrate the process and get him to specify what else he needs so that he feels closer to reality. More... »

PAGES

9-17

Book

TITLE

Medical Informatics Berlin 1979

ISBN

978-3-540-09549-1
978-3-642-93120-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-93120-8_2

DOI

http://dx.doi.org/10.1007/978-3-642-93120-8_2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023063821


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