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Can staff predict day hospital responders?

Published online by Cambridge University Press:  02 January 2018

Sukhwinder S. Shergill*
Affiliation:
Department of Psychiatry, University College London
Robert Butler
Affiliation:
Waikato Hospital, Hamilton, New Zealand
Maurice Greenberg*
Affiliation:
Jules Thorn Day Hospital, St Pancras Hospital, London NW1 OPE
*
Correspondence
Correspondence
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Abstract

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To maximise the effectiveness of psychiatric day hospitals it is important to establish which patients benefit most. We tested the hypothesis that day hospital therapists can predict responders. The consultant, key-workers, junior psychiatrist and secretary predicted outcome for 26 patients. These were measured blind using the Brief Psychiatric Rating Scale (BPRS), Global Assessment Scale (GAS), Becks Depression Inventory (BDI) and the Social Functioning Questionnaire (SFQ). There was poor correlation generally between staff predictions and patient progress as measured by the standardised instruments. The only significant correlation was the consultant's prediction with the BPRS. We suggest this is consistent with the consultant's experience and training in phenomenology. We conclude that consultants should be fully involved in day hospital assessments.

Type
Original Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Royal College of Psychiatrists, 1994

References

Creed, F., Antony, P., Godbert, K. & Huxly, P. (1988) Treatment of severe mental illness in a day hospital. British Journal of Psychiatry, 154, 341347.Google Scholar
Vidalis, A. A., Preston, T. D. & Baker, G. H. B. (1986) Factors influencing effectiveness of day hospital treatment. International Journal of Social Psychiatry, 32, 16.Google Scholar
Vidalis, A. A., Preston, T. D. & Baker, G. H. B. (1990) International Journal of Social Psychiatry, 36, 137142.CrossRefGoogle Scholar
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