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The purpose of this paper is to study the role of social factors that determine the length of stay in a mental hospital and also understand the main factors leading to the phenomena as a step to solve it.

A case-control cross-sectional observational study is performed which studies correlates for the lengthy stay in a mental hospital. The study population consists of two groups: Group A (94 patients), taken from the patients hospitalized for more than one year, further subdivided into schizophrenia and schizoaffective inpatient group and bipolar affective inpatient group; and Group B (94 patients), receiving their treatment at the outpatient clinic after being admitted for less than six months, this group was further subdivided into same categories as Group A.

The study showed that the positive score in positive and negative symptoms scale (PANSS) showed highly statistically significant (p<0.01) correlation with the length of hospital stay for the schizophrenic and schizoaffective patients in the inpatient group. The results showed no statistically significant difference (p>0.05) between the inpatient schizophrenic cases and the inpatient affective cases regarding the length of hospital stay.

The linear regression model was used to understand the predictors of increased length of hospital stay. The linear regression analyzing the scale data of schizophrenic and schizoaffective patients found that the length of hospital stay for the schizophrenic and schizoaffective patients depends on the patient’s age and his positive PANSS score. On the other hand, linear regression model for bipolar affective patients in the study found no statistically significant attributes of the length of hospital stay.

The study found that the length of hospital stay for schizophrenic and schizoaffective patients depends on the patient’s age and his positive PANSS score.

The need for this study stems from the large numbers of mental inpatients who have been lengthily admitted in mental health hospitals in Egypt, while trying to understand main factors leading to the phenomena as a step to solve it. The study found that there is a highly significant difference between inpatient group and outpatient group regarding the marital status, education level, and psychosocial class, with inpatient group having more single, illiterate, and very low social class cases.

Research in the area of chronic psychiatric hospitalization and its effect on the course and prognosis of mental illness is still scarce, especially in the Arab world; therefore, the research will open the door for further research efforts in the future with a larger sample of patients to study the pros and cons of deinstitutionalization taking into account the past experience of health systems in other countries.

The aim of the project was to evaluate the short‐term treatment outcomes of patients treated in a medium secure service for people with intellectual disability. A total of 138 patients, 77 discharged and 61 current inpatients, treated over a six‐year period were included in the audit. Information on demographic and clinical variables was collected on a pre‐designed data collection tool and analysed using appropriate statistical methods. The median length of stay for the discharged group was 2.8 years. About 90% of this group were discharged to lower levels of security and about a third went directly to community placements. None of the clinical and forensic factors examined was significantly associated with length of stay for this group. There was a ‘difficult to discharge long‐stay’ group which had more patients with criminal sections, restriction orders, history of abuse, fire setting, personality disorders and substance misuse. However, when regression analysis was done, most of these factors were not predictive of the length of stay. Clinical diagnosis or offending behaviour categories are poor predictors of length of hospital stay, and there is a need to identify empirically derived patient clusters using a variety of clinical and forensic variables. Common datasets and multi‐centre audits are needed to drive this.

The purpose of this paper is twofold: first, to present patient-level utilisation patterns of hospital-based mental health services funded by private health insurers; and second, to examine the implications of the findings for planning and delivering private mental health services in Australia.

Analysing private health insurance claims data, this study compares differences in demographic and hospital utilisation characteristics of 3,209 patients from 13 private health insurance funds with claims for mental health-related hospitalisations and 233,701 patients with claims for other types of hospitalisations for the period May 2014 to April 2016. Average number of overnight admissions, length of stay and per patient insurer costs are presented for each group, along with overnight admissions vs same-day visits and repeat services within a 28-day period following hospitalisation. Challenges in analysing and interpreting insurance claims data to better understand private mental health service utilisation are discussed.

Patients with claims for mental health-related hospitalisations are more likely to be female (62.0 per cent compared to 55.8 per cent), and are significantly younger than patients with claims for other types of hospitalisations (32.6 per cent of patients aged 55 years and over compared to 57.1 per cent). Patients with claims for mental health-related hospitalisations have significantly higher levels of service utilisation than the group with claims for other types of hospitalisations with a mean length of stay per overnight admission of 15.0 days (SD=14.1), a mean of 1.3 overnight admissions annually (SD=1.2) and mean hospital costs paid by the insurer of $13,192 per patient (SD=13,457) compared to 4.6 days (SD=7.3), 0.8 admissions (SD=0.6) and $2,065 per patient (SD=4,346), respectively, for patients with claims for other types of hospitalisations. More than half of patients with claims for mental health-related hospitalisations only claim for overnight admissions. However, the findings are difficult to interpret due to the limited information collected in insurance claims data.

This study shows the challenges of understanding utilisation patterns with one data source. Analysing insurance claims reveals information on mental health-related hospitalisations but information on community-based care is lacking due to the regulated role of the private health insurance sector in Australia. For mental health conditions, and other chronic health conditions, multiple data sources need to be integrated to build a comprehensive picture of health service use as care tends to be provided in multiple settings by different medical and allied health professionals.

This study contributes in two areas: patient-level trends in hospital-based mental health service utilisation claimed on private health insurance in Australia have not been previously reported. Additionally, as the amount of data routinely collected in health care settings increases, the study findings demonstrate that it is important to assess the quality of these data sources for understanding service utilisation.

Episodic mood disorders are often associated with alcohol dependence. Few studies have explored the contribution of episodic mood disorders to length of stay among those hospitalized with alcohol dependence syndrome. Filling this research gap could improve care for patients while minimizing hospital utilization costs. This study was a cross-sectional analysis of the National Hospital Discharge Survey. ICD-9-CM diagnosis codes were used to identify those admitted to a private or non-profit hospital with alcohol dependence syndrome, and a co-morbid diagnosis of an episodic mood disorder (n=358). Descriptive statistics were used to highlight differences in key demographic and hospital variables between those with and without episodic mood disorders. Negative binomial regression was used to associate episodic mood disorders with hospital length of stay. Incidence rate ratios were calculated. Co-morbid episodic mood disorders ([.beta]=0.31, P=0.001), referral to a hospital by a physician ([.beta]=0.35, P=0.014), and increasing age ([.beta]= 0.01, P=0.001) were associated with longer hospital stays. Hospital patients with an admitting diagnosis of alcohol dependence syndrome were 36% more likely to have a longer hospital stay if they also had a co-morbid diagnosis of an episodic mood disorder (IRR=1.36, CI=1.14-1.62). Patients admitted to a hospital with alcohol dependence syndrome should be routinely screened for episodic mood disorders. Opportunities exist for enhanced transitional care between acute, ambulatory, and community-based care settings to lower hospital utilization.

The purpose of this chapter is to examine geographic variations in utilization and need for mental health services. Data for this study were obtained from the 2002 National Survey of American Families. The total sample size was 23,327 adults of aged 18 years and older. Both logistic and linear regression were used to test the possibility of geographical variations. Disparities were found among the 13 U.S. states examined in this study. Results also showed that the percentage of African Americans, state mental health budgets, and mean length of stay in psychiatric hospitals in the state are important predictors of variations in mental health utilization and need variables. These findings suggest that although individual sociodemographic characteristics are important in examining mental health utilization, state characteristics (especially percentage of African Americans, state mental health laws, and mean length of stay in psychiatric hospitals) are also important predictors of variation in utilization of mental health services.

The purpose of this paper is to describe key policy and practice issues regarding a significant subgroup of people with intellectual disability – those with offending behaviour being treated in forensic hospitals.

The reasons why psychiatrists continue to be involved in the treatment of people with intellectual disability and mental health or behavioural problems and the factors that may lead to patients needing hospital admission are examined. Using two illustrative examples, three key questions – containment vs treatment, hospital care vs conditional discharge and hospital treatment vs using deprivation of liberty safeguards usage in the community are explored.

Patients with intellectual disability, mental health problems and offending behaviours who are treated within forensic inpatient units tend to have long lengths of stay. The key variable that mediates this length of stay is the risk that they pose to themselves or others. Clinicians work within the framework of mental health law and have to be mindful that pragmatic solutions to hasten discharge into the community may not fall within the law.

This paper makes practical suggestions for the future on how to best integrate hospital and community care for people with intellectual disability, mental health and offending behaviours.

The purpose of this paper is to determine the incidence of the use of section 135(1) of the Mental Health Act 1983 in a London borough and describe the main features of the population subject to that section.

Uses of section 135(1), hospital stay, and demographic data were gathered from service and patient records over one year. Means, medians, modes and standard deviation were calculated for interval data. Nominal data were cross-tabulated and the chi square test applied where appropriate. Study data were compared to census and national hospital data; the significance of proportional population differences were calculated using the Z-test.

In total, 63 uses of section 135(1) were recorded. It was primarily used with people with psychotic diagnoses (79 per cent), and was used predominantly in black populations, and among people aged 40-54. People admitted to hospital after section 135(1) use who had psychosis diagnoses had median spells in hospital that were double the corresponding national median.

Total uses of section 135(1) in the borough equated to 25 per cent of the national total for all section 135 admissions recorded in 2012/2013. Hospital statistics in England focusing on admissions alone may fail to reflect a more widespread use of this section. Further research is required to confirm and develop the findings of this small scale study.

The repeated use of this section is suggested as a marker for reviewing practice and resource allocation to prevent or shorten hospital admissions for people with psychosis diagnoses.

This paper highlights gaps in NHS data collection in England relevant to policy makers, mental health service providers, and the police service.

Established following the Reed Report (1991) recommendations, Redford Lodge is an independent psychiatric hospital offering medium secure provision for mentally ill patients and offenders. For this study social and behavioural data were collected on admission and discharge for the 166 patients admitted over the three years 1995‐1998 and 49 discharged patients were reassessed at six‐month follow‐up. Predictors of length of stay, discharge and success at follow‐up were examined in relation to social and demographic factors and engagement in therapy programmes.Patients' socio‐demographic variables were not significantly related to their length of stay, place of discharge or success at follow‐up. One predictor of progress after discharge was employment. Contact with family was identified as a significant factor associated with shorter stay and positive place of discharge but not associated with success at follow‐up. Engagement in psychological therapies and/or group activities was directly related to length of stay, general progress and improvement in mental state but not to subsequent involvement in community services or general success in independent living at follow‐up.Although the findings suggest treatment is successful, further research is needed to identify specific treatment variables that have a positive long‐term effect.

The purpose of this paper is to examine the trend of admissions and inpatient characteristics in a NHS intellectual disability hospital from 1975 to 2013, in particular looking at the effect following the Winterbourne View scandal.

A retrospective review of all admissions over a three-year period (January 2011-January 2013) was completed. This information was compared with admissions to the same hospital in three-year period over the last four decades (1975-1977, 1985-1987, 1995-1997, and 2003-2006). Number of admissions, gender, age, source of admission, length of stay, reasons for admission, type of admission, and diagnosis of psychiatric illnesses were included.

There were 87 admissions (including 29 from out of area) in the study period of 2011-2013. The number of admissions had varied over the years but male admissions were consistently higher than female. A majority of people stayed over six months. For the first time in five decades, there were more formal inpatients than informal ones. The diagnosis of Autism Spectrum Disorder (ASD) and of Attention Deficit Hyperactivity Disorder had increased.

This study has examined admission trends over five decades. It has highlighted that the Mental Health Act legislation is being used more frequently and that co-morbid mental disorders, such as ASD are commonly associated with those admitted to hospital. A well planned-out community health care system, as well as adequate social provision are keys to maintain people with intellectual disability in the community. Furthermore, a better understanding of the symptomology of challenging behaviours, and appropriate use of mental health legislation are crucial in providing a high-quality service that has clear treatment goals and values. Some of these issues have contributed to the failure of the recent initiative to reduce the size of the inpatient intellectual disability following Winterbourne View scandal.

The first NHS forensic low secure unit for adolescents, the Westwood centre, opened in 2004. This paper seeks to focus on service utilisation and initial outcomes for the young people admitted in the first 45 months compared with young people accessing a neighbouring open adolescent unit.

In order to understand service utilisation and initial outcomes, the clinical profiles of young people admitted in the first 45 months were evaluated. This included demographics, locality, admission status, length of stay, medication use, presenting problem, diagnosis, previous and discharge destination. The profiles of young people accessing the low secure unit were then compared with young people accessing a neighbouring open adolescent unit. Clinical profiles were ascertained from available healthcare records and service data. These were inspected and analysed using descriptive statistics.

Thirty (54 per cent) of the 56 Westwood young people were male, the mean age at admission was 16.3 years and mean length of stay was 202 days. Twenty‐five (44 per cent) young people had a discharge diagnosis related to psychosis, the remainder having primary problems relating to emotional and/or conduct problems. 26 (47 per cent) were discharged to another hospital setting and 20 (35 per cent) returned to their home of origin. Young people accessing the low secure unit were significantly older at admission and there was a trend for a higher proportion of females to be admitted to the open setting. In addition, the low secure unit had a greater proportion of young people with psychotic disorders and longer lengths of stay. Case examples illustrate a pilot of initial outcomes.

There were time differences in comparison of low secure and open unit and retrospective use of health care records.

Clinical profiling is useful as a basis to consider clinical outcomes, pathways, utilization of a service, service/training needs and development. Comparisons between inpatient units provide further evidence to the areas above and help dispel myths that may otherwise guide decisions, e.g. about which diagnoses or gender affecting length of stay. Most young people progress positively from the low secure service onto open or community settings. Improving future outcomes for young people include such as through diversion from custody, length of admission, reduced symptoms/risks and planned progress to suitable community placements or home.

The paper provides a clinical profile of young people accessing a low secure setting in comparison to an open unit. This has relevance to other secure and inpatient adolescent units and is important in considering pathways and outcomes.