title: Developing a framework for admission and discharge: a nurse-led initiative within a mental health setting.
abstract: Admission to a mental health inpatient setting is one important aspect of care which requires collaborative working between Community Mental Health Teams (CMHTs) and ward staff. However, links are not always formalized. The failure of effective gatekeeping coupled with inconsistent admission and discharge practices further complicates the situation for all those involved. A number of local changes, for example, adoption of a centralized bed bureau, together with policy changes, initiated a nurse-led practice development project. It was predicted that by creating a framework for more formalized communication between the different disciplines admission and discharge processes would be improved, thus enhancing service users' satisfaction and empowering all staff participating in the process. During the project, 132 service users were notified as potentially requiring admission. Admissions were avoided and diverted for 22 of them. The quality of the communication and information shared between the CMHTs and ward staff was significantly improved. Accessing inpatient beds, at times still remained problematic, as beds could only remain ring-fenced on 65% of occasions. This initiative, conducted within a 'real world setting', showed that it is possible to improve admission and discharge practices by creating a framework for a formalized communication process between disciplines.
authors: North West Mental Health Research Network, University of Manchester, Manchester, UK.
authors: M
authors: M
authors: Fiddler
authors: G
authors: G
authors: Borglin
authors: A
authors: A
authors: Galloway
authors: C
authors: C
authors: Jackson
authors: K
authors: K
authors: Lovell
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000453:epidemiology* / Q000628:therapy*; D008605:Mental Health Services; D009042:Motivation; D009726:Nurses; D010343:Patient Admission / Q000706:statistics & numerical data*; D011446:Prospective Studies; D000078329:Workforce