An international collaborative database: its use in predicting length of stay for inpatient treatment of anorexia nervosa.
OBJECTIVE
We describe the establishment of an Australasian multisite research database for inpatient treatment of anorexia nervosa (AN). Using this database, the second aim of this study is to investigate the extent to which length of stay (LOS) in participating facilities could be predicted at admission from patient, clinical, and site variables.


METHODS
Standardized demographic and clinical data were collated for 213 admission episodes involving 154 participants over a 20 month period from five Australian and one New Zealand specialist treatment centres.


RESULTS
While nine variables significantly predicted LOS on univariate analysis, linear regression determined that only body mass index, and having had 2-3 previous admissions made significant independent contributions to LOS.


CONCLUSIONS
Multisite databases offer a viable means by which to conduct clinical research, particularly in regard to low prevalence disorders such as AN. Their additional advantage is that of involving front-line practitioners recruiting participants more likely to be representative of cases seen across treatment centres. At just under a fifth of the total variance predicted by the best-fit model, LOS in hospital remains an aspect of AN treatment difficult to predict, and future studies need to explore variables other than the obvious demographic or clinical issues at admission. The clinical and planning implications are discussed.
Maguire
Sarah
S
Department of Psychological Medicine, University of Sydney, NSW, Australia. sarah@psy.rpa.cs.nsw.gov.au
Surgenor
Lois J
LJ
Abraham
Suzanne
S
Beumont
Peter
P
D000328:Adult; D000856:Anorexia Nervosa / Q000175:diagnosis* / Q000534:rehabilitation*; D001315:Australia; D015992:Body Mass Index; D019992:Databases as Topic; D039721:Diagnostic and Statistical Manual of Mental Disorders; D005260:Female; D006760:Hospitalization; D006801:Humans; D007391:International Cooperation; D007902:Length of Stay; D011237:Predictive Value of Tests; D012720:Severity of Illness Index