Factors associated with use of psychiatric intensive care and seclusion in adult inpatient mental health services.

AIMS: Within acute psychiatric inpatient services, patients exhibiting severely disturbed behaviour can be transferred to a psychiatric intensive care unit (PICU) and/or secluded in order to manage the risks posed to the patient and others. However, whether specific patient groups are more likely to be subjected to these coercive measures is unclear. Using robust methodological and statistical techniques, we aimed to determine the demographic, clinical and behavioural predictors of both PICU and seclusion. METHODS: Data were extracted from an anonymised database comprising the electronic medical records of patients within a large South London mental health trust. Two cohorts were derived, (1) a PICU cohort comprising all patients transferred from general adult acute wards to a non-forensic PICU ward between April 2008 and April 2013 (N = 986) and a randomly selected group of patients admitted to general adult wards within this period who were not transferred to PICU (N = 994), and (2) a seclusion cohort comprising all seclusion episodes occurring in non-forensic PICU wards within the study period (N = 990) and a randomly selected group of patients treated in these wards who were not secluded (N = 1032). Demographic and clinical factors (age, sex, ethnicity, diagnosis, admission status and time since admission) and behavioural precursors (potentially relevant behaviours occurring in the 3 days preceding PICU transfer/seclusion or random sample date) were extracted from electronic medical records. Mixed effects, multivariable logistic regression analyses were performed with all variables included as predictors. RESULTS: PICU cases were significantly more likely to be younger in age, have a diagnosis of bipolar disorder and to be held on a formal section compared with patients who were not transferred to PICU; female sex and longer time since admission were associated with lower odds of transfer. With regard to behavioural precursors, the strongest predictors of PICU transfer were incidents of physical aggression towards others or objects and absconding or attempts to abscond. Secluded patients were also more likely to be younger and legally detained relative to non-secluded patients; however, female sex increased the odds of seclusion. Likelihood of seclusion also decreased with time since admission. Seclusion was significantly associated with a range of behavioural precursors with the strongest associations observed for incidents involving restraint or shouting. CONCLUSIONS: Whilst recent behaviour is an important determinant, patient age, sex, admission status and time since admission also contribute to risk of PICU transfer and seclusion. Alternative, less coercive strategies must meet the needs of patients with these characteristics.

Exploring the predictors of early readmission to psychiatric hospital.

BACKGROUND: Aims of this study are to explore the associations of readmission to psychiatric hospital over time, to develop a statistical model for early readmission to psychiatric hospital and to assess the feasibility of predicting early readmission. METHOD: The sample comprised 7891 general psychiatric discharges in South London, taken from a large anonymised repository of electronic patient records. We initially explored time to readmission using Cox regression - this included investigation of time-dependent effects. Subsequently, we used logistic regression to create a predictive model for 90-day readmission. We investigated the effect on readmission of a set of variables that included demographic variables, diagnosis and legal status during the index admission, previous service use, housing variables and individual item scores on the Health of the Nation Outcome Scales (HoNOS) at admission and at discharge. RESULTS: Fifteen per cent of those discharged were readmitted within 90 days. Cox regression demonstrated that the estimated baseline hazard of readmission declined steeply after discharge and that the effects of several predictors, especially diagnosis, changed over time - most notably, personality disorder was associated with increased readmission relative to schizophrenia at the time of discharge, but did not significantly differ by 1-year postdischarge. In the logistic regression, increased readmission was associated with personality disorder diagnosis; shorter length of the index admission (excepting zero length admissions); number of discharges in the preceding 2 years; and having a high score at discharge on the HoNOS overactive and aggressive behaviour item, cognitive problems item or hallucinations and delusions items. Detention under Section 3 or a forensic section of the Mental Health Act during the index admission was associated with reduced readmission. The coefficient of discrimination for the logistic regression, which is equivalent to r 2, was 0.04 and the estimated area under the receiver operating curve was 0.65. CONCLUSIONS: The association found between early readmission and personality disorder diagnosis merits further investigation, as does the possible trade-off between reduction in length of stay and increased readmission. Other novel findings such as the associations found with HoNOS item scores also merit replication. As with previous studies, we found that the rate of readmission declines steeply after hospital discharge, so that the period immediately subsequent to discharge is a period of comparatively high risk. However, prediction of early readmission within this high-risk group remains challenging - it seems most likely that many unmeasured influences operate subsequent to the time of discharge.

Associations between the schizophrenia susceptibility gene ZNF804A and clinical outcomes in psychosis.

We sought to test the hypothesis that the rs1344706 A allele will be associated with worse clinical outcome in first-episode psychosis. A data linkage was set up between a large systematic study of first-episode psychosis and an electronic health-record case register at the South London and Maudsley NHS Foundation Trust--a large provider of secondary mental-health care. A sample of 291 patients, who presented with a first psychotic episode (ICD10 diagnoses F20-29 or F30-33) and in whom the rs1344706 genotype had been assayed, were followed to examine the duration of mental-health in-patient care during the 2 years following first service contact, as a primary outcome. Secondary outcome measures were whether or not an in-patient episode occurred and the number of in-patient episodes during this period. A strong association was found between the number of rs1344706 A alleles and the cumulative duration of mental-health in-patient stay over the 2 years since initial presentation. In the 84.2% who experienced an in-patient episode during this period, the mean duration of admission was an additional 38 days for each A allele increment. Therefore, in addition to its potential role as a risk factor for psychosis, the ZNF804A rs1344706 A allele is associated with worse clinical outcome.

Home treatment teams and facilitated discharge from psychiatric hospital.

AIMS: There has been little research into the facilitated discharge (FD) function of Home Treatment Teams (HTTs). We aimed to explore and describe the prevalence and associations of FD and to estimate its effects on bed days during the index admission (length of stay corrected for ward leave) and on readmission. METHODS: Descriptive and regression analyses of data collected by South London and Maudsley NHS Foundation Trust on discharges from its general psychiatric wards, with multiple imputation of missing covariate values. RESULTS: Overall, 29% of our sample of 7891 hospital admissions involved a FD. FD was associated with female gender, diagnosis of a severe mental illness, previous home treatment, having a longer previous admission, neither being discharged to a new address nor to a care home, having no other community team and having HoNOS item scores consistent with an active depressive or psychotic mental illness. In the regression analysis, FD was associated with 4.0 fewer bed days (95% confidence interval -6.7 to -1.3; p = 0.0004). There was no effect on readmission. CONCLUSIONS: Our analysis provides some support for the effectiveness of FD in slightly reducing the time spent in hospital and suggests that this may be achieved without increasing the rate of readmission. Further studies in this area are important, especially given existing research that suggests that the introduction of HTTs in England and Wales was associated with little or no change in service utilisation.

Efficacy of a triage system to reduce length of hospital stay.

BACKGROUND: Attempts have been made to improve the efficiency of in-patient acute care. A novel method has been the development of a 'triage system' in which patients are assessed on admission to develop plans for discharge or transfer to an in-patient ward. AIMS: To compare a triage admission system with a traditional system. METHOD: Length of stay and readmission data for all admissions in a 1-year period between the two systems were compared using the participating trust's anonymised records. RESULTS: Despite reduced length of stay on the actual triage ward, the average length of stay was not reduced and the triage system did not lead to a greater number of readmissions. There was no significant difference in costs between the two systems. CONCLUSIONS: Based on our findings we cannot conclude that the triage system reduced length of stay, but we can conclude that it does not increase the number of readmissions as some have feared.