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Clinical and organizational factors predicting readmission for mental health patients across Italy

Authors :
Valeria Donisi
Francesco Amaddeo
Federico Tedeschi
Damiano Salazzari
Kristian Wahlbeck
Johanna Cresswell-Smith
Source :
Social Psychiatry and Psychiatric Epidemiology. 55:187-196
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

The aims of our study are: to explore rehospitalization in mental health services across Italian regions, Local Health Districts (LHDs), and hospitals; to examine the predictive power of different clinical and organizational factors. The data set included adult patients resident in Italy discharged from a general hospital episode with a main psychiatric diagnosis in 2012. Independent variables at the individual, hospital, LHD, and region levels were used. Outcome variables were individual-level readmission and LHD-level readmission rate to any hospital at 1-year follow-up. The association with readmission of each variable was assessed through both single- and multi-level logistic regression; descriptive statistics were provided to assess geographical variation. Relevance of contextual effects was investigated through a series of random-effects regressions without covariates. The national 1-year readmission rate was 43.0%, with a cross-regional coefficient of variation of 6.28%. Predictors of readmission were: admission in the same LHD as residence, psychotic disorder, higher length of stay (LoS), higher rate of public beds in the LHD; protective factors were: young age, involuntary admission, and intermediate number of public healthcare staff at the LHD level. Contextual factors turned out to affect readmission only to a limited degree. Homogeneity of readmission rates across regions, LHDs, hospitals, and groups of patients may be considered as a positive feature in terms of equity of the mental healthcare system. Our results highlight that readmission is mainly determined by individual-level factors. Future research is needed to better explore the relationship between readmission and LoS, discharge decision, and resource availability.

Details

ISSN :
14339285 and 09337954
Volume :
55
Database :
OpenAIRE
Journal :
Social Psychiatry and Psychiatric Epidemiology
Accession number :
edsair.doi.dedup.....dc27b661f852f8655a059c874367eb55