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Postgrad Med J ; 95(1119): 6-11, 2019 Jan.
Article in English | MEDLINE | ID: mdl-30765421

ABSTRACT

BACKGROUND: Busy emergency departments (EDs) are not the optimum environment for assessment of patients in mental health crisis. The Psychiatric Decisions Unit (PDU) was developed by the Birmingham and Solihull Mental Health Foundation Trust as an enhanced assessment service to ensure patients in mental health crisis receive optimal care. AIMS: To evaluate the activities of the PDU and its impact on the frequency of ED presentations and inpatient admissions, and to explore patient satisfaction. METHODS: Data were collected over a 6-month period during 2015 regarding patient demographics, referral sources, length of stay, and frequency of mental health-related ED presentations and inpatient psychiatric admissions. Comparison group data were used to evaluate the impact of the PDU. Patient satisfaction was measured using the 'Friends and Family Test' and structured feedback forms. RESULTS: In total, 385 patients were referred to the PDU during the study period. Implementation of the PDU was associated with a 39% decrease in the number of patients taken to the ED by Street Triage and a 26% fall in inpatient psychiatric admissions via the Trusts' in-hospital liaison psychiatry team. Ninety-eight per cent of patients surveyed felt that they were treated with respect and understanding, and 94% reported that they were likely or extremely likely to recommend the service to friends and family. CONCLUSIONS: Implementation of the PDU was associated with a reduction in the frequency of ED presentations and inpatient psychiatric admissions. This study suggests that patients are satisfied with the care provided at the PDU.


Subject(s)
Emergency Service, Hospital/organization & administration , Emergency Services, Psychiatric/organization & administration , Mental Disorders/diagnosis , Patient Admission/statistics & numerical data , Adolescent , Adult , Aged , Child , England , Female , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Patient Satisfaction , Referral and Consultation/statistics & numerical data , Surveys and Questionnaires
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