Literature DB >> 29512312

Discharges from an early intervention in psychosis service: The effect of patient characteristics on discharge destination.

Shiraz Ahmed1, Kate Zara Peters2, Nandini Chakraborty1.   

Abstract

AIM: The present study aimed to determine the influence of demographic and clinical features on the likelihood of patients being discharge to primary vs secondary care. The overarching aim of this service evaluation is to assess factors affecting discharge and determine important modulators of discharge destination to inform care planning in services.
METHOD: Clinical and demographic data were extracted from patient notes of those discharged from the Psychosis Intervention and Early Recovery (PIER) service in Leicestershire between January 2005 and December 2013. A total of 508 records were analysed and logistic regression was used to assess the impact of diagnostic, demographic and other clinical factors on the discharge destination of patients.
RESULTS: Of the 508 patients, 241 (47.44%) had been discharged to primary care and 267 (52.55%) to secondary psychiatric services. The factors which increased the likelihood of patients being discharged to secondary care were diagnoses of enduring psychoses, being referred from inpatient services and longer time spent with the PIER team.
CONCLUSIONS: Diagnosis and duration of treatment were significant predictors of discharge destination. Patients with diagnoses of enduring psychotic illness, were more likely to be discharged to a secondary psychiatric service irrespective of gender, ethnicity and geographical location. These data may suggest the possibility to predict the discharge destination when patients are taken on to the caseload of an early intervention in psychosis (EIP) team and have important implications for psychoeducation, preparing the patient for future after EIP and distribution of resources.
© 2018 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  demographic factors; discharge planning; mental health services; projections and predictions; psychosis

Mesh:

Year:  2018        PMID: 29512312     DOI: 10.1111/eip.12552

Source DB:  PubMed          Journal:  Early Interv Psychiatry        ISSN: 1751-7885            Impact factor:   2.732


  1 in total

1.  Discharge pathways and relapse following treatment from early intervention in psychosis services.

Authors:  Stephen Puntis; Jason Oke; Belinda Lennox
Journal:  BJPsych Open       Date:  2018-08-30
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.