OBJECTIVE We compared the readmission rates and the pattern of readmission among patients discharged against medical advice (AMA) to control patients discharged with approval over a one-year follow-up period. METHODS A retrospective matched-cohort study of 656 patients(328 were discharged AMA) who were followed for one year after their initial hospitalization at an urban university-affiliated...

BACKGROUND Japan has introduced an acute psychiatric care unit to the public healthcare insurance program, but its requirement of a shorter length of stay could lead to discharges without proper discharge planning. The aim of this study was to examine the association between the implementation of discharge planning and the length of stay of acute psychiatric inpatients in Japan. METHODS This ...

Aims and Method: A national system, Scottish Patients at Risk of Readmission and Admission (Mental Health) -SPARRA MH, is a risk prediction algorithm, was developed to identify people at risk of readmission to psychiatric hospitals in Scotland (UK). It identifies patients aged 15 years and over at risk of readmission to a psychiatric hospital or unit. SPARRA MH was developed to support the achi...

BACKGROUND Psychiatric readmissions have been studied at length. However, knowledge about how environmental and health system characteristics affect readmission rates is scarce. This paper systemically reviews and discusses the impact of health and social systems as well as environmental characteristics for readmission after discharge from inpatient care for patients with a psychiatric diagnosi...

ors recorded information about each article on a one-page abstraction form. Informationcoded included:  Indicator type (i.e. mortality, readmission, potentially overused procedures) Clinical domain (i.e. medical, surgical, obstetric, pediatric, and psychiatric) Measure category (i.e. structure, process, proxy-outcome, and outcome) Clinical rationale for the indicators. ...

ors recorded information about each article on a one-page abstraction form. Informationcoded included:  Indicator type (i.e. mortality, readmission, potentially overused procedures) Clinical domain (i.e. medical, surgical, obstetric, pediatric, and psychiatric) Measure category (i.e. structure, process, proxy-outcome, and outcome) Clinical rationale for the indicators. ...

OBJECTIVE To use linked administrative datasets to assess factors associated with emergency department (ED) presentation and psychiatric readmission in three distinctive time intervals after the index psychiatric admission. DESIGN A retrospective data-linkage study. SETTING Cohort study using four linked government minimum datasets including acute hospital care from July 2005 to June 2012 i...

BACKGROUND Risks prediction models of 30-day all-cause hospital readmissions are multi-factorial. Severity of illness (SOI) and risk of mortality (ROM) categorized by All Patient Refined Diagnosis Related Groups (APR-DRG) seem to predict hospital readmission but lack large sample validation. Effects of risk reduction interventions including providing post-discharge outpatient visits remain unce...

INTRODUCTION Thirty-day hospital readmission rates have become a quality indicator for many regulators and payers, but published accounts of reducing these rates across a patient population are lacking. OBJECTIVE This article describes and evaluates the Wisconsin Mental Health Readmissions Project, which aimed to reduce psychiatric inpatient 30-day readmission rates in Wisconsin. METHODS Ni...