Determinants of hospital length of stay for people with serious mental illness in England and implications for payment systems: a regression analysis

Predictors of the length of stay in psychiatric inpatient units: a retrospective study for the Paris Psychiatry Hospital Group

Objective

Shortening the length of hospital stay (LOS) has become a major challenge for psychiatric hospitals in reducing unnecessary costs and improving the patient healthcare experience. We investigated the key factors associated with a long psychiatric hospitalization.

Method

This was a retrospective study of 8,870 full-time psychiatric hospital stays (6,216 patients) in the Paris Psychiatry Hospital Group, with a discharge in 2022. We used machine learning tools and univariate and multivariate methods to explore the impact of demographic, pathway-related, and clinical variables on the LOS.

Results

LOS >30 days was associated with age >55 years {odds ratio [OR] =2 [95% confidence interval 1.7-2.3]}, admission from outside the sectorization zone [OR=1.2 (1.1-1.3)], admission via a psychiatric emergency unit [OR, 1.2 (1.1-1.4)], and some clinical severity markers, such as psychotic disorder diagnosis [OR, 1.5 (1.3-1.7)], mandatory care [request of a third party, OR, 2.5 (2.1-2.9); case of imminent danger, OR, 2.3 (1.9-2.7)], the presence of seclusion and mechanical restraint measures (highlighting the positive effect of restraint duration), the somatic comorbidity for female sex [OR, 1.4 (1.2-1.7)], and treatment resistance [OR, 1.4 (1.2-1.6)]. Conversely, LOS ≤30 days was associated with being in a relationship [OR, 0.6 (0.5-0.8)], admission during a travel-related psychiatric episode [OR, 0.5 (0.3-0.6)], and personality and behavior disorders [OR, 0.7 (0.6-0.9)]. We found no significant association for features such as sex and a lack of treatment compliance.

Conclusion

To our knowledge, this is the first recent study to investigate and highlight the impact of factors related to various illness severity markers, medication adherence, and patient journeys on the length of psychiatric hospital stay. A better understanding of long-stay risk factors might be helpful for optimizing the allocation of medical resources and anticipating tailored therapeutic programs.

Variation in Psychiatric Hospitalisations: A Multiple-Membership Multiple-Classification Analysis

The complexity of variation in healthcare, particularly in mental health, remains poorly understood. However, addressing this issue presents an opportunity to opti-mise the allocation of scarce healthcare resources. To explore this, we investigated the variation in psychiatric care measured as the number of psychiatric hospitalisations. We estimated multiple-membership multiple-classification models utilising Danish register data for 64,694 individuals and their healthcare providers, including 2101 general practitioners, 146 community-based care institutions, 46 hospital departments, and 98 municipalities. This approach recognised that data are not strictly hierarchical. We found that, among individuals attending a single healthcare provider, 67.4% of the total variance in the number of hospitalisations corresponds to differences between individuals, 22.6% to differences between healthcare providers' geographical location, 7.02% to differences between healthcare providers, and 3% to differences between the geographical locations of the individuals. Adding characteristics to the model ex-plained 68.5% of the variance at the healthcare provider geographical level, but almost no explanation of the variation was found on the three other levels despite the nu-merous characteristics considered. This suggests that medical practice may vary un-warrantedly between healthcare providers, indicating potential for optimisation. Streamlining medical practices, such as adhering to clinical guidelines, could lead to more efficient supply of mental health resources. In conclusion, understanding and addressing variation in psychiatric care may impact resource allocation and patient outcomes, ultimately leading to a more effective healthcare system.

Environmental risk factors for schizophrenia and bipolar disorder from childhood to diagnosis: a Swedish nested case-control study

BACKGROUND

Shared genetic risk between schizophrenia (SCZ) and bipolar disorder (BD) is well-established, yet the extent to which they share environmental risk factors remains unclear. We compare the associations between environmental exposures during childhood/prior to disorder onset with the risk of developing SCZ and BD.

METHODS

We conducted a Swedish register-based nested case-control study using 4184 SCZ cases and 18 681 BD cases diagnosed 1988-2013. Cases were matched to five controls by birth year, birth region, and sex. Conditional logistic regression was used to estimate incidence rate ratios (IRR) for SCZ and BD for each exposure (severe childhood infections, adverse childhood experiences (ACEs), substance use disorders (SUDs), urban birth/longest residence).

RESULTS

All SUD types were associated with very high risk (IRR 4.9-25.5), and all forms of ACEs with higher risk (IRR 1.5-4.3) for both disorders. In the mutually adjusted models, ACEs demonstrated slightly higher risk for BD (SCZ IRR 1.30, 1.19-1.42; BD IRR 1.49, 1.44-1.55), while for SUD, risk was higher for SCZ (SCZ IRR 9.43, 8.15-10.92; BD IRR 5.50, 5.15-5.88). Infections were associated with increased risk of BD (IRR 1.21, 1.17-1.26) but not SCZ. Urban birth and urban longest residence were associated with higher risk of SCZ (IRR 1.19, 1.03-1.37), while only the combination of urban birth and rural longest residence showed higher risk for BD (IRR 1.24, 1.13-1.35).

CONCLUSIONS

There were both shared and unique environmental risk factors: SUDs and ACEs were risk factors for both disorders, while infections were more strongly associated with BD and urbanicity with SCZ.

Examining the impact of substance use on hospital length of stay in schizophrenia spectrum disorder: a retrospective analysis

BACKGROUND

Among patients diagnosed with schizophrenia, the presence of substance use poses an aggravating comorbidity, exerting a negative impact on the course of the disease, adherence to therapeutic regimens, treatment outcomes, duration of hospital stays, and the frequency of hospitalizations. The primary objective of the present study is to investigate the relationship between comorbid substance use disorders, antipsychotic treatment, and the length of stay in individuals hospitalized for treatment of schizophrenia.

METHODS

We conducted a retrospective analysis of electronic health records spanning a 12-month period, specifically focusing on adult patients diagnosed with schizophrenia who were discharged from the University Hospital of Psychiatry Zurich between January and December 2019. We documented the number and types of diagnosed substance use disorder, the antipsychotic treatment, the length of stay, and the number of previous hospitalizations for each patient.

RESULTS

Over a third (n = 328; 37.1%) of patients with schizophrenia had comorbid substance use with cannabis being the most frequent consumed substance. Patients with substance use (either single or multiple) were more frequently hospitalized; those with multiple substance use more frequently than those with a single substance use (F(2, 882) = 69.06; p < 0.001). There were no differences regarding the rate of compulsory admission. Patients with no substance use had a lower HoNOS score at discharge (F(2, 882) = 4.06). Patients with multiple substance use had a shorter length of stay (F(2, 882) = 9.22; p < 0.001), even after adjusting for duration of illness, previous hospitalizations, diagnosis, and antipsychotic treatment.

CONCLUSIONS

In patients with schizophrenia, comorbid single or multiple substance use has a relevant negative impact on treatment and thus on the course of disease. Substance use in patients with schizophrenia should therefore receive special attention in order to reduce re-hospitalization rates and improve the clinical outcome.

Factors Influencing the Personal Recovery of Inpatients in a Forensic Psychiatric Hospital in South Korea

PURPOSE

This study aimed to identify the factors influencing the personal recovery of inpatients of a forensic psychiatric hospital.

METHODS

A descriptive study design was assigned. The participants were 136 inpatients in a forensic psychiatric hospital in South Korea. The data were analyzed using SPSS Statistics Version 26.0 with descriptive statistics, independent t test, analysis of variance, Pearson correlation coefficient, and multiple regression.

RESULTS

Perceived physical health status (β = 0.16, p = 0.034), perceived mental health status (β = 0.20, p = 0.023), perceived family support (β = 0.17, p = 0.013), duration of hospitalization (β = 0.25, p < 0.001), and recovery attitudes (β = 0.36, p < 0.001) were the significant factors explaining 42.6% of the variance in the personal recovery of participants.

CONCLUSION

The findings of this study indicate that recovery attitudes, health status, and personal support affect forensic mental health personal recovery. Personal recovery can be strengthened through nursing intervention and support to strengthen recovery attitudes and health status. It is necessary to get used to personal recovery through long-term and systematic education, and organizations and nurses need to make efforts to provide services centered on personal recovery.

Length of hospital stay in involuntary admissions in Greece: a 10-year retrospective observational study

PURPOSE

The treatment of mental disorders has shifted from inpatient wards to community-based settings in recent years, but some patients may still have to be admitted to inpatient wards, sometimes involuntarily. It is important to maintain the length of hospital stay (LoS) as short as possible while still providing adequate care. The present study aimed to explore the factors associated with the LoS in involuntarily admitted psychiatric patients.

METHODS

A ten-year retrospective chart review of 332 patients admitted involuntarily to the inpatient psychiatric ward of the General University Hospital of Ioannina, Northwestern Greece, between 2008 and 2017 was conducted.

RESULTS

The mean LoS was 23.8 (SD = 33.7) days and was relatively stable over the years. Longer-stay hospitalization was associated with schizophrenia-spectrum disorder diagnosis, previous hospitalizations and the use of mechanical restraint, whereas patients in residential care experienced significantly longer LoS (52.6 days) than those living with a caregiver (23.5 days) or alone (19.4 days). Older age at disease onset was associated with shorter LoS, whereas no statistically significant differences were observed with regard to gender.

CONCLUSION

While some of our findings were in line with recent findings from other countries, others could not be replicated. It seems that multiple factors influence LoS and the identification of these factors could help clinicians and policy makers to design more targeted and cost-effective interventions. The optimization of LoS in involuntary admissions could improve patients' outcomes and lead to more efficient use of resources.

Influencing factors of length of stay among repeatedly hospitalized patients with mood disorders: a longitudinal study in China

BACKGROUND

Patients with mood disorders usually require repeated and prolonged hospitalization, resulting in a heavy burden on healthcare resources. This study aims to identify variables associated with length of stay(LOS) of repeatedly hospitalized patients with mood disorders and to provide information for optimizing psychiatry management and healthcare resource allocation.

METHODS

Electronic medical records (EMRs) of repeatedly hospitalized patients with mood disorders from January 2010 to December 2018 were collected and retrospectively analyzed. Chi-square and t-test were adopted to investigate the differences in characteristics between the two groups of short LOS and long LOS. Generalized estimating equation (GEE) was conducted to investigate potential factors influencing LOS.

RESULTS

A total of 2,009 repeatedly hospitalized patients with mood disorders were enrolled, of which 797 (39.7%) had a long LOS and 1,212 (60.3%) had a short LOS. Adverse effects of treatment, continuous clinical manifestation, chronic onset type, suicide attempt, comorbidity and use of antidepressants were positively associated with long LOS among all repeatedly hospitalized patients with mood disorders (P < 0.050). For patients with depression, factors associated with long LOS consisted of age, monthly income, adverse effects of treatment, continuous clinical manifestation, suicide attempt and comorbidity (P < 0.050). Whereas, for patients with bipolar disorder (BD), adverse effects of treatment, four or more hospitalizations and use of antidepressants contributed to the long LOS (P < 0.050). Influencing factors of LOS also vary among patients with different effectiveness of treatment.

CONCLUSION

The LOS in repeatedly hospitalized patients with mood disorders was influenced by multiple factors. There were discrepancies in the factors affecting LOS in patients with different diagnoses and effectiveness of treatment, and specific factors should be addressed when evaluating the LOS.

Schizophrenia and schizoaffective disorder: Length of stay and associated factors

Background

Patients with schizophrenia and schizoaffective disorder often require longer admissions.

Aim

To explore length of stay (LOS) and associated factors of patients with schizophrenia and schizoaffective disorder, admitted to a public sector specialised psychiatric hospital, over a 4-year period.

Setting

The study was conducted at Tara Hospital in Johannesburg.

Methods

A retrospective record review of 367 adult schizophrenia and schizoaffective disorder patients admitted between 01 January 2015 and 31 December 2018. Average LOS was calculated and the proportion of short-stay (< 30 days), medium-stay (31-90 days) and long-stay (> 90 days) admissions determined. Sociodemographic, clinical and admission outcome data were collected and analysed from a randomly selected subset of patients in each LOS category.

Results

Mean LOS was 128 days (median 87, interquartile range [IQR] 49-164, range 0-755 days). A significantly greater proportion had long-stay admissions (p < 0.001). Male gender (p = 0.018), being unmarried (p = 0.006), treatment resistant (p < 0.001) and on clozapine (p = 0.009) were factors found to have a significant association with long-stay admissions. Rates of unemployment (> 80%), comorbid substance use disorders (> 40%), medical illnesses (> 40%), antipsychotic polypharmacy (> 40%) and readmissions (> 80%) were high. Most (> 80%) were discharged.

Conclusion

Long-stay admissions were frequently required for patients with schizophrenia and schizoaffective disorder admitted to Tara Hospital.

Contribution

This study highlights factors associated with long-stay admissions in patients with schizophrenia and schizoaffective disorder. More research is needed into whether increased access to community-based services, such as residential and daycare facilities, outpatient substance rehabilitation programmes and dual diagnosis clinics, could translate into shorter admissions, less frequent relapses and improved outcomes in this population.

The effect of psychiatric decision unit services on inpatient admissions and mental health presentations in emergency departments: an interrupted time series analysis from two cities and one rural area in England

AIMS

High-quality evidence is lacking for the impact on healthcare utilisation of short-stay alternatives to psychiatric inpatient services for people experiencing acute and/or complex mental health crises (known in England as psychiatric decision units [PDUs]). We assessed the extent to which changes in psychiatric hospital and emergency department (ED) activity were explained by implementation of PDUs in England using a quasi-experimental approach.

METHODS

We conducted an interrupted time series (ITS) analysis of weekly aggregated data pre- and post-PDU implementation in one rural and two urban sites using segmented regression, adjusting for temporal and seasonal trends. Primary outcomes were changes in the number of voluntary inpatient admissions to (acute) adult psychiatric wards and number of ED adult mental health-related attendances in the 24 months post-PDU implementation compared to that in the 24 months pre-PDU implementation.

RESULTS

The two PDUs (one urban and one rural) with longer (average) stays and high staff-to-patient ratios observed post-PDU decreases in the pattern of weekly voluntary psychiatric admissions relative to pre-PDU trend (Rural: -0.45%/week, 95% confidence interval [CI] = -0.78%, -0.12%; Urban: -0.49%/week, 95% CI = -0.73%, -0.25%); PDU implementation in each was associated with an estimated 35-38% reduction in total voluntary admissions in the post-PDU period. The (urban) PDU with the highest throughput, lowest staff-to-patient ratio and shortest average stay observed a 20% (-20.4%, CI = -29.7%, -10.0%) level reduction in mental health-related ED attendances post-PDU, although there was little impact on long-term trend. Pooled analyses across sites indicated a significant reduction in the number of voluntary admissions following PDU implementation (-16.6%, 95% CI = -23.9%, -8.5%) but no significant (long-term) trend change (-0.20%/week, 95% CI = -0.74%, 0.34%) and no short- (-2.8%, 95% CI = -19.3%, 17.0%) or long-term (0.08%/week, 95% CI = -0.13, 0.28%) effects on mental health-related ED attendances. Findings were largely unchanged in secondary (ITS) analyses that considered the introduction of other service initiatives in the study period.

CONCLUSIONS

The introduction of PDUs was associated with an immediate reduction of voluntary psychiatric inpatient admissions. The extent to which PDUs change long-term trends of voluntary psychiatric admissions or impact on psychiatric presentations at ED may be linked to their configuration. PDUs with a large capacity, short length of stay and low staff-to-patient ratio can positively impact ED mental health presentations, while PDUs with longer length of stay and higher staff-to-patient ratios have potential to reduce voluntary psychiatric admissions over an extended period. Taken as a whole, our analyses suggest that when establishing a PDU, consideration of the primary crisis-care need that underlies the creation of the unit is key.

Preliminary results from the Australian Genetics of Bipolar Disorder Study: A nation-wide cohort

OBJECTIVE

The Australian Genetics of Bipolar Disorder Study is a nation-wide cohort of adults living with bipolar disorder. The study aims to detect the relationships between genetic risk, symptom severity, and the lifetime prevalence of bipolar disorder, treatment response and medication side effects, and patterns and costs of health care usage.

METHODS

A total of 6682 participants (68.3% female; aged 44.8 ± 13.6 years [range = 18-90]) were recruited in three waves: a nation-wide media campaign, a mail-out based on prescriptions for lithium carbonate and through the Australian Genetics of Depression Study. Participants completed a self-report questionnaire. A total of 4706 (70%) participants provided a saliva sample and were genotyped and 5506 (82%) consented to record linkage of their Pharmaceutical and Medicare Benefits Schedule data.

RESULTS

Most participants were living with bipolar I disorder (n = 4068) while 1622 participants were living with bipolar II disorder and 992 with sub-threshold bipolar disorder. The mean age of bipolar disorder diagnosis was 32.7 ± 11.6 years but was younger in bipolar I (p = 2.0E-26) and females (p = 5.7E-23). Excluding depression with onset prior to bipolar disorder diagnosis, 64.5% of participants reported one or more co-occurring psychiatric disorders: most commonly generalised anxiety disorder (43.5%) and posttraumatic stress disorder (20.7%). Adverse drug reactions were common and resulted in discontinuation rates ranging from 33.4% for lithium to 63.0% for carbamazepine.

CONCLUSION

Our findings highlight the high rate of comorbidities and adverse drug reactions among adults living with bipolar disorder in the general Australian population. Future genomic analyses focus on identifying genetic variants influencing pharmacotherapy treatment response and side effects.

Are There Any Differences in Clinical and Biochemical Variables between Bipolar Patients with or without Lifetime Psychotic Symptoms?

INTRODUCTION

Psychotic symptoms occur in more than half of patients affected by Bipolar Disorder (BD) and are associated with an unfavorable course of the disorder. The objective of this study is to identify the differences in the clinical and biochemical parameters between bipolar patients with or without psychotic symptoms.

METHODS

A total of 665 inpatients were recruited. Demographic, clinical, and biochemical data related to the first day of hospitalization were obtained via a screening of the clinical charts and intranet hospital applications. The two groups identified via the lifetime presence of psychotic symptoms were compared using t tests for quantitative variables and χ2 tests for qualitative ones; binary logistic regression models were subsequently performed.

RESULTS

Patients with psychotic BD (compared to non-psychotic ones) showed a longer duration of hospitalization (p < 0.001), higher Young Mania Rating Scale scores (p < 0.001), lower Global Assessment of Functioning scores (p = 0.002), a less frequent history of lifetime suicide attempts (p = 0.019), less achievement of remission during the current hospitalization (p = 0.028), and a higher Neutrophile to Lymphocyte Ratio (NLR) (p = 0.006), but lower total cholesterol (p = 0.018) and triglycerides (p = 0.013).

CONCLUSIONS

Patients with psychotic BD have a different clinical and biochemical profile compared to their counterparts, characterized by more clinical severity, fewer metabolic alterations, and a higher grade of inflammation. Further multi-center studies have to confirm the results of this present study.

Patterns of psychiatric hospitalizations of Arab and Jewish adults with chronic psychotic disorders, before and after national mental health reforms, Israel, 1991-2016

BACKGROUND

Members of the Arab minority in Israel are at increased risk of developing mental illness, although less likely to seek care and have accessible treatment. This study compares trends in psychiatric hospitalizations between Arabs and Jews with chronic psychotic disorders, before and after introduction of the Community Rehabilitation of Persons with Mental Disability Law in 2000, and governmental recognition of the need to allocate resources for patients with co-occurring substance use disorder and mental illness in 2010.

METHODS

The National Psychiatric Case Registry provided data on 18,684 adults with schizophrenia/schizoaffective disorder, hospitalized in 1991-2016 (at least once in 2010-2015). Repeated-measures ANOVA was used to measure the effect (and interactions) of population-group (Arabs and Jews), time-period (Period1: 1991-2000, Period2: 2001-2009, Period3: 2010-2016) and sex, on average length of stay (LOS), annual number of hospitalizations and hospitalization days.

RESULTS

The proportion of Arab patients hospitalized with a diagnosis of chronic psychotic disorder (14.4%) was significantly lower than their proportion in the general population (21%), and their average age at first hospitalization (28.4 years) was older than that of Jewish inpatients (27.0 years). The average number of hospitalization days and LOS of Jewish patients were double that of Arab patients in Period1. Following implementation of the Rehabilitation Law, hospitalization days increased among Arab patients and decreased slightly among Jewish patients, such that by Period3 the average number of hospitalization days was similar among Jewish (41) and Arab (37) patients. The increase in hospitalization days among Arab patients was limited to men with no change noted among women. The number of hospitalization days among Arab women was about half that of Jewish women (p < 0.0001).

CONCLUSIONS

The findings reveal a narrowing of disparities in psychiatric hospitalizations between Arab and Jewish patients in Israel over time. However, among Arab women the number of hospitalization days remains considerably lower than that of Jewish women, raising concerns that Arab women may be receiving insufficient care. Further study is needed to fully understand the underpinnings of these disparities, although increasing the number of Arabic-language mental health services and providing psycho-education, will help further close the gap.

A review of excluded groups and non-response in population-based mental health surveys from high-income countries

National mental health surveys play a critical role in determining the prevalence of mental disorders in a population and informing service planning. However, current surveys have important limitations, including the exclusion of key vulnerable groups and increasing rates of non-response. This review aims to synthesise information on excluded and undersampled groups in national mental health surveys. We conducted a targeted review of nationally representative adult mental health surveys performed between 2005 and 2019 in high-income OECD countries. Sixteen surveys met our inclusion criteria. The response rate for included surveys ranged between 36.3% and 80.0%. The most frequently excluded groups included people who were homeless, people in hospitals or health facilities and people in correctional facilities. Males and young people were the most commonly underrepresented groups among respondents. Attempts to collect data from non-responders and excluded populations were limited, but suggest that mental health status differs among some of these cohorts. The exclusion of key vulnerable groups and high rates of non-response have important implications for interpreting and using the results of national mental health surveys. Targeted supplementary surveys of excluded or hard-to-reach populations, more inclusive sampling methodologies, and strategies aimed at improving response rates should be considered to strengthen the accuracy and usefulness of survey findings.

Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study

Introduction: Many patients with bipolar disorder (BD) need hospitalization, while the number of hospital beds for these patients is limited. Managing the length of stay (LOS) is an effective solution to this issue. Research on LOS and its influencing factors in BD is limited in China. This study aimed to identify the factors relevant to LOS in different polarities in Chinese patients with BD. Method: This was a real-world, cross-sectional study. Data were obtained from the electronic medical record system. Patients admitted to Beijing Anding Hospital between Jan 2014 and Dec 2017 and diagnosed with BD were included. Demographic information, clinical characteristics, and biochemical variables were collected. Patients were classified into short and long LOS groups based on a cutoff value. A univariate study and a multivariate logistic regression analysis were performed to identify variables related to LOS in various BD polarities. The receiver operating characteristic (ROC) analysis was utilized to evaluate the discrimination accuracy of the regression model. Result: Four thousand six hundred and seventy-five visits from 4,451 individuals were included in the analysis. For the whole sample, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). There was an additive interaction between a family history of mental disorders and polarities (p < 0.05). For manic episodes, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). For depressive episodes, psychotic features and high-density lipoprotein cholesterol (HDLC) levels were positively associated with long LOS (all p < 0.05). For mixed states, unmarried status was positively associated with long LOS, while low-density lipoprotein cholesterol (LDLC) levels were negatively associated with LOS (all p < 0.05). The area under the curve (AUC) values for depressive episodes, manic episodes, and mixed states in the combined model were 0.587, 0.553, and 0.619, respectively (all p < 0.05). Discussion: The findings suggested that LOS correlates differed by polarity, with marital status, psychotic features, a family history of mental disorders, and lipid levels strongly linked with LOS in patients with BD.

Guidelines, Policies, and Recommendations Regarding the Sexuality of Individuals with Severe Mental Disorders in Psychiatric Units, Institutions, and Supported Housing Across Europe: A Systematic Review

Sexual behavior of psychiatric inpatients is often inadequately addressed within psychiatric institutions. This systematic review aimed to identify existing policies, guidelines, and recommendations regarding inpatient sexual behavior in psychiatric units, institutions, and supported housing across Europe in existing literature. It also aimed to assess the attitudes held by mental health professionals (MHPs) and inpatients toward existing policies, guidelines, and recommendations. Nine databases were searched in seven languages for articles published between 2000 and 2020. Double-blind bias assessment was performed on 10 articles. Five thematic categories emerged from the selected studies: (1) types of policies and guidelines; (2) MHPs' and inpatients' attitudes toward inpatient sexual behavior; (3) impact and strategies related to inpatient sexual behavior; (4) barriers to inpatient sexual behavior; and (5) facilitators to inpatient sexual behavior. Most screened publications reported implicit norms addressing inpatient sexual behavior among the staff. Surveyed MHPs and inpatients typically showed opposing attitudes regarding inpatient sexual behavior, with MHPs generally deeming such behavior unsafe and inpatients emphasizing it as their human right. The aims of this systematic review were partially fulfilled as articles reported little or no policy documents and guidelines and, therefore, did not allow for the assessment of policy impact. MHPs' attitudes toward inpatient sexual behavior were addressed and trends in several countries outside of Europe addressing inpatient sexual behavior were discussed. Finally, capacity to consent with respect to inpatient sexual behavior is discussed in the context of human rights.

Length of stay of hospitalized patients at tertiary psychiatry facilities in Uganda: the role of caregiver's presence

BACKGROUND

Whether the presence of caregivers during the hospital stay of patients with mental illness affects the length of hospital stay (LoS) remains inconclusive.

AIMS

(1) To determine the average LoS and the associated factors, and (2) to determine the role of caregivers' presences during inpatient stay on LoS.

METHODS

We conducted a cross-sectional study in two hospitals in Uganda; one with caregivers and the other without caregivers between July to November 2020. Mann-Whitney U test was used to compare LoS in the two selected hospitals and linear regression was used to determine factors associated with LoS.

RESULTS

A total of 222 participants were enrolled, the majority were males (62.4%). Mean age was 36.3 (standard deviation (SD) = 13.1) years. The average LoS was 18.3 (SD = 22.3) days, with patients in a hospital without caregivers having a longer median LoS (i.e., (30 (interquartile range (IQR) = 30) vs. 7 (7) days; χ2 = 68.95, p < 0.001). The factors significantly associated a longer LoS among our study participants included; being admitted in a hospital without caregivers (adjusted coefficient [aCoef]: 14.88, 95% CI 7.98-21.79, p < 0.001), a diagnosis of schizophrenia (aCoef: 10.68, 95 %CI 5.53-15.83, p < 0.001), being separated or divorced (aCoef: 7.68, 95% CI 1.09-14.27, p = 0.023), and increase in money spent during the admission (aCoef: 0.14, 95% CI 0.09-0.18, p < 0.001).

CONCLUSION

Patients with mental illness in southwestern Uganda have a short LoS (below 28 days), and the stay was much shorter for patients with fulltime caregivers. We recommend caregivers presence during patient's hospital stay to reduce the LoS and minimize healthcare expenditure.

Factors influencing the duration of hospitalization of patients with schizophrenia

Introduction

Severe mental disorders represent an important and large proportion of healthcare resource utilization and are associated with increased hospitalization rates and costs. Given the high percentage of total hospital days and costs associated with caring for people with psychotic disorders, a better understanding of the factors that determine the duration of hospitalization of patients with such disorders is imperative.

Purpose

The aim of the present study was to investigate socio-demographic, clinical and psychosocial characteristics of patients with schizophrenia, admitted to a Greek public psychiatric hospital, and the relationship between these characteristics and duration of hospitalization among these patients.

Methods

This is a cross-sectional study. The study sample consisted of 103 patients diagnosed with schizophrenia (F-20). The collection of data was performed by using the NEO-Five Factor Inventory, the Connor-Davidson Resilience Scale (CD-RISC25), Multidimensional Scale of Perceived Social Support, (MSPSS), Positive and Negative Syndrome Scale (PANSS), Global Assessment of Functioning scale (GAF) for assessing key personality factors, psychological resilience, social support, symptom severity and the severity of the disease, respectively. Descriptive analyses and inferential statistic methods were applied. Correlation between socio-demographic, psychosocial or clinical characteristics with the length of stay were explored. In addition, linear regression analysis was performed in order to examine predicting factors for the duration of hospitalization. All statistical analysis was performed using SPSS v.25.

Results

The mean age of the sample was 43.9 (SD = ±11.4) years, 67% of patients were men, and the mean length of hospitalization was 40.7 days. Factors found to be significantly associated with length of stay in the overall sample include the previous admissions (p=0.010), the type of admission (compulsory or voluntary) (p=0.017), bed rest (p=0.043) and duration of bed rest (p=0.002), and the existence of social support networks especially from friends (p=0.018).

Conclusions

Our findings indicate that basic psychosocial and clinical factors were associated with the duration of hospital stay. Duration of hospitalization results from a complex interface between characteristics and activities of the health system, patient, and clinician's influence on discharge timing, which requires additional study. Our findings further warrant the need for policymakers to consider socio-demographic status, psychosocial and clinical factors when allocating resources to hospitals caring for patients with severe mental disorders.

Bipolar Disorder Related Hospitalizations - a Descriptive Nationwide Study Using a Big Data Approach

Bipolar Disorder (BD) is a mental disorder which frequently requires long hospitalizations and need for acute psychiatric care. The aim of this study was to describe a nationwide perspective of BD related hospitalizations and to use a BigData based approach in mental health research. We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008-2015. Hospitalizations with a primary diagnosis of BD were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 296.xx (excluding 296.2x; 296.3x and 296.9x). From 20,807 hospitalizations belonging to 13,300 patients, around 33.4% occurred in male patients with a median length of stay of 16.0 days and a mean age of 47.9 years. The most common hospitalization diagnosis in BD has the code 296.4x (manic episode) representing 34.3% of all hospitalizations, followed by the code 296.5x (depressed episode) with 21.4%. The mean estimated hospitalization charge was 3,508.5€ per episode, with a total charge of 73M€ in the 8-year period of this study.This is a nationwide study giving a broad perspective of the BD hospitalization panorama at a national level. We found important differences in hospitalization characteristics by sex, age and primary diagnosis.

Inequalities in Psychiatric Service Use and Mortality by Migrant Status Following a First Diagnosis of Psychotic Disorder: A Swedish Cohort Study of 1.3M People

It is unclear whether inequalities in mental healthcare and mortality following the onset of psychosis exist by migrant status and region-of-origin. We investigated whether (1) mortality (including by major causes of death); (2) first admission type (inpatient or outpatient); (3) in-patient length of stay (LOS) at first diagnosis for psychotic disorder presentation, and; (4) time-to-readmission for psychotic disorder differed for refugees, non-refugee migrants, and by region-of-origin. We established a cohort of 1 335 192 people born 1984–1997 and living in Sweden from January 1, 1998, followed from their 14th birthday or arrival to Sweden, until death, emigration, or December 31, 2016. People with ICD-10 psychotic disorder (F20–33; N = 9399) were 6.7 (95% confidence interval [95%CI]: 5.9–7.6) times more likely to die than the general population, but this did not vary by migrant status (P = .15) or region-of-origin (P = .31). This mortality gap was most pronounced for suicide (adjusted hazard ratio [aHR]: 12.2; 95% CI: 10.4–14.4), but persisted for deaths from other external (aHR: 5.1; 95%CI: 4.0–6.4) and natural causes (aHR: 2.3; 95%CI: 1.6–3.3). Non-refugee (adjusted odds ratio [aOR]: 1.4, 95%CI: 1.2–1.6) and refugee migrants (aOR: 1.4, 95%CI: 1.1–1.8) were more likely to receive inpatient care at first diagnosis. No differences in in-patient LOS at first diagnosis were observed by migrant status. Sub-Saharan African migrants with psychotic disorder were readmitted more quickly than their Swedish-born counterparts (adjusted sub-hazard ratio [sHR]: 1.2; 95%CI: 1.1–1.4). Our findings highlight the need to understand the drivers of disparities in psychosis treatment and the mortality gap experienced by all people with disorder, irrespective of migrant status or region-of-origin.

Schizophrenia Related Hospitalizations - a Big Data Analysis of a National Hospitalization Database

Schizophrenia is a mental disorder characterized by long hospitalizations and frequent need for chronic/acute psychiatric care. Hospitalizations represent a valuable quality of care indicator in schizophrenia patients. The aim of this study was to describe a nationwide perspective of schizophrenia related hospitalizations. We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008 to 2015. Hospitalizations with a primary diagnosis of schizophrenia were selected based on the definition by CCS - Clinical Classification Software diagnostic single-level 659. Schizophrenia subtypes were identified based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 295.xx. A total of 25,385 hospitalizations were registered belonging to 14,279 patients. 68.0% of the hospitalizations occurred in male patients and the median length of stay was 18.0 days. In male patients' hospitalizations, the most frequent age group was 31-50 years followed by the age group of 18-30 years (55.9 and 24.0% respectively). For female patients, the most frequent age group was 31-50 years followed by 51-70 years (54.1 and 22.6%, respectively). There were 73 hospitalization with a deadly outcome (0.29%). Paranoid type was the most frequent subtype of schizophrenia (50.5%). The mean hospitalization charges were 3509.7€ per episode, with a total charge of 89.1 M€ in the 8-year period. This is a nationwide study using Big Data analysis giving a broad perspective of schizophrenia hospitalization panorama at a nationwide level. We found differences in hospitalization characteristics according to patients' gender, age and primary diagnosis.

Do discontinuities in marginal reimbursement affect inpatient psychiatric care in Germany?

This paper examines the behaviour of mental health care providers in response to marginal payment incentives induced by a discontinuous per diem reimbursement schedule with varying tariff rates over the length of stay. The analyses use administrative data on 12,627 cases treated in 82 psychiatric hospitals and wards in Germany. We investigate whether substantial reductions in marginal reimbursement per inpatient day led to strategic discharge behaviour once a certain length of stay threshold is exceeded. The data do not show gaps and bunches at the duration of treatment when marginal reimbursement decreases. Using logistic regression models, we find that providers did not react to discontinuities in marginal reimbursement by significantly reducing inpatient length of stay around the threshold. These findings are robust in terms of different model specifications and subsamples. The results indicate that if regulators aim to set incentives to decrease LOS, this might not be achieved by cuts in reimbursement over LOS.

Violent Behavior Prior to Admission Is Not a Factor in Further Prolonged Length of Stay: A Retrospective Cohort Study in a Japanese Psychiatric Hospital

Background: This study assessed the hypothesis that violent behavior prior to admission prolongs psychiatric hospitalization and evaluated the likelihood of hospital discharge to a community care setting based on demographic and clinical factors, with an emphasis on violent behavior. Methods: We retrospectively selected 362 patients who were involuntarily admitted to a psychiatric hospital in Japan from December 1, 2015 to November 30, 2017, stayed longer than planned, and underwent review by a multidisciplinary team. We assessed (a) education and marital status and history of substance abuse, (b) the presence/absence and type of violent behavior that led to hospital admission, and (c) the discharge criteria. We divided the subjects into groups according to whether they had demonstrated violent behavior prior to admission and compared demographic and clinical variables between the groups using bivariate analysis. We also analyzed data using the Cox proportional hazard model, defining discharge to the community as the outcome. Age, sex, and variables that were significant at a level of P < 0.05 based on Cox univariate analysis were included in the multivariate models using the forced entry method. Results: The Violent group included 94 patients (26%). There were no significant between-group differences in age, sex, educational background, marital history, career history, or the history of substance abuse. However, hospitalization was significantly longer in the Non-violent group. The Cox proportional multivariate hazard ratios revealed that violent behavior prior to admission resulted in a higher probability of hospital discharge. Conclusion: Violent behavior prior to admission did not significantly contribute to prolonged hospitalization in patients who deviated from the treatment plan and had exceeded the planned hospitalization duration. Our findings recommend caution when using violence and impulsiveness observed during the acute stage to predict the difficulty of long-term treatment.

Factors associated with length of stay and readmission in acute psychiatric inpatient services in Portugal

Assessing the factors that influence duration and number of hospitalizations may support mental health services planning and delivery. This study examines the factors associated with length of stay and readmission in Portuguese psychiatric inpatient services during 2002, 2007 and 2012. Data from all admissions were extracted from clinical files. Logistic regression models estimated the association between length of stay (<17 vs ≥17 days) and number of admissions per year (1 vs >1 admission) with sociodemographic, clinical, and contextual factors. Older age, a diagnosis of psychosis, and compulsory admission were associated with higher odds of longer length of stay. Being married, secondary education, suicide attempt, a diagnosis of substance use and "other mental disorders", being admitted in 2012, and two of the psychiatric inpatient services associated with lower odds of longer length of stay. Being retired (or others), a diagnosis of psychosis, compulsory admission, and psychiatric service were associated with increased odds of readmission. Older age, and secondary and higher education were associated with lower odds of readmission. The findings indicate that multiple factors influence length of stay and readmission. Identifying these factors provides useful evidence for clinicians and policy makers to design more targeted and cost-effective interventions.

Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using electronic health records

BACKGROUND

Investigation of personality traits and pathology in large, generalizable clinical cohorts has been hindered by inconsistent assessment and failure to consider a range of personality disorders (PDs) simultaneously.

METHODS

We applied natural language processing (NLP) of electronic health record notes to characterize a psychiatric inpatient cohort. A set of terms reflecting personality trait domains were derived, expanded, and then refined based on expert consensus. Latent Dirichlet allocation was used to score notes to estimate the extent to which any given note reflected PD topics. Regression models were used to examine the relationship of these estimates with sociodemographic features and length of stay.

RESULTS

Among 3623 patients with 4702 admissions, being male, non-white, having a low burden of medical comorbidity, being admitted through the emergency department, and having public insurance were independently associated with greater levels of disinhibition, detachment, and psychoticism. Being female, white, and having private insurance were independently associated with greater levels of negative affectivity. The presence of disinhibition, psychoticism, and negative affectivity were each significantly associated with a longer stay, while detachment was associated with a shorter stay.

CONCLUSIONS

Personality features can be systematically and scalably measured using NLP in the inpatient setting, and some of these features associate with length of stay. Developing treatment strategies for patients scoring high in certain personality dimensions may facilitate more efficient, targeted interventions, and may help reduce the impact of personality features on mental health service utilization.

Observed Outcomes: An Approach to Calculate the Optimum Number of Psychiatric Beds

The number of psychiatric beds, in most developed countries, has decreased progressively since the late 1950s. Many clinicians believe that this reduction has gone too far. But how can we determine the number of psychiatric beds a mental health system needs? While the population health approach has advantages over the normative approach, it makes assumptions about optimal and minimum duration of hospitalization required for various psychiatric disorders. In this paper, we describe a naturalistic approach that estimates the required number of psychiatric beds by comparing the bed levels at which negative outcomes develop in different jurisdictions. We hypothesize that there will be a threshold below which negative outcomes will be seen across jurisdictions. We predict that hospital key performance indices will be more sensitive to bed reductions than the clinical and social outcomes of patients. The observed outcome approach can complement other approaches to determining bed numbers at the national and local levels, and should be a priority for future health services research.

Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality

BACKGROUND

Personality has long been studied as a factor associated with health outcomes. Investigations of large, generalizable clinical cohorts are limited by variations in personality diagnostic methodologies and difficulties with long-term follow-up.

METHODS

Electronic health records of a cohort of patients admitted to a general hospital were characterized using a previously developed natural language processing tool for extracting DSM-5 and ICD-11 personality domains. We used Cox regression and Fine-Gray competing risk survival to analyze the relationships between these personality estimates, sociodemographic features, and risk of readmission and mortality.

RESULTS

Among 12,274 patients, 2379 deaths occurred in the course of 61,761 patient-years at risk, with 19,985 admissions during follow-up. Detachment was the most common personality feature. Presence of disinhibition was independently associated with a higher mortality risk, while anankastic traits were associated with a lower mortality risk. Increased likelihood of readmission was predicted by detachment, while decreased likelihood of readmission was associated with disinhibition and psychoticism traits.

CONCLUSIONS

Personality features can be identified from electronic health records and are associated with readmission and mortality risk. Developing treatment strategies that target patients with higher personality symptom burden in specific dimensions could enable more efficient and focused interventions.

Crimes by people with schizophrenia in Korea: comparison with the general population

BACKGROUND

This study was performed to describe the prevalence of crimes committed by persons with schizophrenia using population-based data and to compare the crime prevalence of persons with schizophrenia and the general population.

METHODS

The number of crimes was obtained from the Korean National Policy Agency (KNPA) crime statistics (2012-2016), which provide the number of crimes in terms of the criminal's mental status and mental health conditions. For the number of persons with schizophrenia, estimates were used which had been calculated from the inpatient and outpatient claims from the National Health Insurance Service. The crime prevalence in persons with schizophrenia was calculated according to the types of crimes, and a comparison with the general population was conducted.

RESULTS

The overall crime prevalence of persons with schizophrenia was 72.7 to 90.3 per 10,000 from 2012 through 2016, which was about one fifth that of the general population. While the crime rates of the persons with schizophrenia were lower than the general population in most types of crimes including violence, intellectual crimes, and theft, the prevalence of murder, arson, and drug-related crimes in persons with schizophrenia was about five times, six times, and two times that of the general population respectively.

CONCLUSION

The higher prevalence of serious offences among persons with schizophrenia suggests the need for closer and more appropriate care for the population, which would be achieved through effective continuity of institutional and community care.

Hospital length of stay among older people treated with flexible and integrative psychiatric service models in Germany

OBJECTIVE

Since 2012, a new law (§64b, Book V of the Social Security Code [SGB V]) regulates the implementation of flexible and integrative psychiatric treatment projects (FIT64b) in Germany. FIT64b allows rapid discharge of patients from inpatient to outpatient settings and cost reductions of hospital stays. Several psychiatric centres exclusively provide FIT64b; others provide FIT64b alongside with standard health care. The aim of the study was to assess the average hospital length of stay (AHLS) of older patients with mental illness included in FIT64b projects.

METHODS

A secondary data analysis was conducted using administrative data from eight German mental health centres providing FIT64b. The effects of gender, age, type of centre, and main diagnosis on AHLS were calculated for all older patients with age 65 years or older (n = 3495) treated in FIT64b in the year 2016. Data were analysed with descriptive statistics and robust multiway procedures.

RESULTS

The AHLS of older people with mental illness was 4.8 (SD = 11.5) days. The AHLS was shorter in centres exclusively providing FIT64b than in centres providing FIT64b alongside with standard health care: 3.2 (SD = 6.4) vs 8.4 (SD = 17.8) days, P = .001. This difference was particularly marked among patients with schizophrenia spectrum disorders, mood disorders, and neurotic, stress-related, and somatoform disorders.

CONCLUSIONS

FIT64b relates to very short AHLS even among older people. Centres using FIT64b alongside with standard health care usually provide standard care to most patients, which could lead to lower fidelity in the implementation of FIT64b.

Measuring the Activity of Mental Health Services in England: Variation in Categorising Activity for Payment Purposes

In the context of international interest in reforming mental health payment systems, national policy in England has sought to move towards an episodic funding approach. Patients are categorised into care clusters, and providers will be paid for episodes of care for patients within each cluster. For the payment system to work, clusters need to be appropriately homogenous in terms of financial resource use. We examine variation in costs and activity within clusters and across health care providers. We find that the large variation between providers with respect to costs within clusters mean that a cluster-based episodic payment system would have substantially different financial impacts across providers.

Gender influence on the bipolar disorder inpatient length of stay in Sweden, 2005-2014: A register-based study

BACKGROUND

The influence of gender on bipolar disorder is controversial and it is unclear if inpatient care differs between men and women. Here, we investigate for gender differences in the inpatient length of stay for Swedes admitted for bipolar disorder and explore other factors that could explain any observed association.

METHODS

Admission data were extracted from the Swedish National Patient Register and included all patients first admitted to a psychiatric inpatient unit with a bipolar disorder diagnosis, circa 2005-2014. Patients were then retrospectively followed for subsequent hospitalizations. Diagnostic subtypes were categorized by ICD-10 clusters: depressive, depressive with psychotic features, manic, manic with psychotic features, mixed, and other. Psychotropic therapies preceding the corresponding admissions were attained from the Prescribed Drug Register. Mixed-effects zero-truncated negative binomial regressions were employed to model the length of stay per admission.

RESULTS

Analysis included 39,653 admissions by 16,271 inpatients (60.0% women). Overall, when compared to men, women spent 7.5% (95% CI: 4.2-11.0%, p < 0.001) extra days hospitalized per admission. However, upon adjusting for candidate confounders, including the bipolar subtype, and selected comorbidities and psychotropics, the association weakened wherein women then spent 3.7% (95% CI: 0.1-6.9%, p = 0.028) extra days hospitalized per admission.

LIMITATIONS

The integrity of register data can be variable and the adherence to outpatient dispensed psychotropics could not be validated.

CONCLUSION

Although the influence of gender on the bipolar disorder inpatient length of stay is evident, other factors attenuate and better explain this crude observation.

Drivers of hospital expenditure and length of stay in an academic medical centre: a retrospective cross-sectional study

BACKGROUND

As healthcare expenditure and utilization continue to rise, understanding key drivers of hospital expenditure and utilization is crucial in policy development and service planning. This study aims to investigate micro drivers of hospital expenditure and length of stay (LOS) in an Academic Medical Centre.

METHODS

Data corresponding to 285,767 patients and 207,426 inpatient visits was extracted from electronic medical records of the National University of Hospital in Singapore between 2005 to 2013. Generalized linear models and generalized estimating equations were employed to build patient and inpatient visit models respectively. The patient models provide insight on the factors affecting overall expenditure and LOS, whereas the inpatient visit models provide insight on how expenditure and LOS accumulate longitudinally.

RESULTS

Although adjusted expenditure and LOS per inpatient visit were largely similar across socio-economic status (SES) groups, patients of lower SES groups accumulated greater expenditure and LOS over time due to more frequent visits. Admission to a ward class with greater government subsidies was associated with higher expenditure and LOS per inpatient visit. Inpatient death was also associated with higher expenditure per inpatient visit. Conditions that drove patient expenditure and LOS were largely similar, with mental illnesses affecting LOS to a larger extent. These observations on condition drivers largely held true at visit-level.

CONCLUSIONS

The findings highlight the importance of distinguishing the drivers of patient expenditure and inpatient utilization at the patient-level from those at the visit-level. This allows better understanding of the drivers of healthcare utilization and how utilization accumulates longitudinally, important for health policy and service planning.

Impact of the carer on length of hospital stay for mental health: Results from two Australian surveys

Informal carers play a vital role in supporting Australians living with a mental illness, including during the acute phases of illness; however, little is known about their impact on length of hospital stay. We aimed to investigate the impact of having a carer and of carer burden on length of hospital stay for mental health. Two Australian datasets were used. Data from the 2010 National Survey of High Impact Psychosis (n = 1825) were used to investigate the impact of having versus not having a carer on length of hospital stay for mental health. Data from the UQ Carer Survey 2016 (n = 105), a convenience sample of mental health carers, were used to investigate the impact of weekly hours of care (a measure of objective carer burden) on length of stay. Multiple logistic regression and correlation analyses were performed to investigate the association between carer status/burden and length of stay. Having a carer was associated with a significantly longer length of hospital stay; however, this relationship was no longer significant after adjusting for diagnosis, global functioning, depressive symptoms, deliberate self-harm, mental health outpatient contacts and type of admission. Weekly hours of care did not significantly impact on length of stay. Patients with carers had poorer functioning which may be related to longer stays. Our analysis was not able to look at subgroups of carers with different needs. Future work is required to determine other components of the admission and discharge process where having a carer is influential.

Agreement between primary care and hospital diagnosis of schizophrenia and bipolar disorder: A cross-sectional, observational study using record linkage

People with serious mental illness die 10–25 years sooner than people without these conditions. Multiple challenges to accessing and benefitting from healthcare have been identified amongst this population, including a lack of coordination between mental health services and general health services. It has been identified in other conditions such as diabetes that accurate documentation of diagnosis in the primary care chart is associated with better quality of care. It is suspected that if a patient admitted to the hospital with serious mental illness is then discharged without adequate identification of their diagnosis in the primary care setting, follow up (such as medication management and care coordination) may be more difficult. We identified cohorts of patients with schizophrenia and bipolar disorder who accessed care through the North York Family Health Team (a group of 77 family physicians in Toronto, Canada) and North York General Hospital (a large community hospital) between January 1, 2012 and December 31, 2014. We identified whether labeling for these conditions was concordant between the two settings and explored predictors of concordant labeling. This was a retrospective cross-sectional study using de-identified data from the Health Databank Collaborative, a linked primary care-hospital database. We identified 168 patients with schizophrenia and 370 patients with bipolar disorder. Overall diagnostic concordance between primary care and hospital records was 23.2% for schizophrenia and 15.7% for bipolar disorder. Concordance was higher for those with multiple (2+) inpatient visits (for schizophrenia: OR 2.42; 95% CI 0.64–9.20 and for bipolar disorder: OR 8.38; 95% CI 3.16–22.22). Capture-recapture modeling estimated that 37.4% of patients with schizophrenia (95% CI 20.7–54.1) and 39.6% with bipolar disorder (95% CI 25.7–53.6) had missing labels in both settings when adjusting for patients’ age, sex, income quintiles and co-morbidities. In this sample of patients accessing care at a large family health team and community hospital, concordance of diagnostic information about serious mental illness was low. Interventions should be developed to improve diagnosis and continuity of care across multiple settings.

Acute general hospital admissions in people with serious mental illness

BACKGROUND

Serious mental illness (SMI, including schizophrenia, schizoaffective disorder, and bipolar disorder) is associated with worse general health. However, admissions to general hospitals have received little investigation. We sought to delineate frequencies of and causes for non-psychiatric hospital admissions in SMI and compare with the general population in the same area.

METHODS

Records of 18 380 individuals with SMI aged ⩾20 years in southeast London were linked to hospitalisation data. Age- and gender-standardised admission ratios (SARs) were calculated by primary discharge diagnoses in the 10th edition of the World Health Organization International Classification of Diseases (ICD-10) codes, referencing geographic catchment data.

RESULTS

Commonest discharge diagnosis categories in the SMI cohort were urinary conditions, digestive conditions, unclassified symptoms, neoplasms, and respiratory conditions. SARs were raised for most major categories, except neoplasms for a significantly lower risk. Hospitalisation risks were specifically higher for poisoning and external causes, injury, endocrine/metabolic conditions, haematological, neurological, dermatological, infectious and non-specific ('Z-code') causes. The five commonest specific ICD-10 diagnoses at discharge were 'chronic renal failure' (N18), a non-specific code (Z04), 'dental caries' (K02), 'other disorders of the urinary system' (N39), and 'pain in throat and chest' (R07), all of which were higher than expected (SARs ranging 1.57-6.66).

CONCLUSION

A range of reasons for non-psychiatric hospitalisation in SMI is apparent, with self-harm, self-neglect and/or reduced healthcare access, and medically unexplained symptoms as potential underlying explanations.

Socio-demographic characteristics and factors associated with hospitalization in psychiatry of old age patients: an international comparison between Ireland and Turkey

BACKGROUND

Taking predictors of hospitalization characteristics into consideration internationally would broaden our understanding of this population on a local basis.

AIMS

We aimed to examine and compare socio-demographic profiles along with hospitalization characteristics including length of hospital stay (LOS), reasons for admission and diagnoses among older adult inpatients hospitalized in Ireland and Turkey, and to assess factors predicting these features.

METHODS

The admission charts of 356 psychiatric inpatients over 65 years of age who were admitted to two different acute psychiatric hospitals (Sligo/Ireland and Istanbul/Turkey) were analysed by means of descriptive modalities and logistic regression.

RESULTS

There were significant differences in several domains of socio-demographics, reasons of admission and diagnoses. LOS was significantly longer in Ireland. Living alone was the only significant predictor for longer LOS in both countries, whereas in addition to living alone, younger age was also a contributor for longer LOS in Turkey.

DISCUSSION

Given that the only factor predicting LOS both in Turkey and Ireland was living alone, helping to identify more acceptable ways of providing social support for living arrangements constitutes an important service to shorten LOS in old age psychiatric population.

CONCLUSIONS

It is possible to infer that independent from the cultural diversities, living arrangement is a consistent entity to influence length of hospital stay in older adult population.

Predictors of hospitalization length of stay among re-admitted treatment-resistant Bipolar Disorder inpatients

BACKGROUND

Hospitalization accounts for significant health care resource utilization for treatment-resistant Bipolar Disorder (BD), especially among frequent users of acute inpatient psychiatric units. Appraisal of the clinical features and predictive role of selected variables is therefore crucial in such population, representing the aim of the present research.

METHODS

A hundred and nineteen BD inpatients with an established history of pharmacological treatment resistance for either mania or bipolar depression were classified as long hospitalization cases (LOS⁺) and their controls and compared against each other for a number of demographic, clinical, and psychopathological features.

RESULTS

Overall, female sex, current second-generation atypical antipsychotic (SGA)/mood stabilizer other than lithium as well as antidepressant treatment at the admission occurred statistically more frequently among LOS⁺ cases, concordant with higher scores at the Hamilton scales for depression and anxiety. Lithium utilization at the time of hospitalization did not differ between cases and controls (LOS^-, n = 81/119), as predominant affective temperament and other psychopathological rating did not. Overall, the time of admission, use of SGA, anticonvulsant (other than lithium), antidepressant, lifetime alcohol dependence, and BD Type (-I or -II), but not current mood polarity at the time of hospitalization, correctly predicted LOS⁺ grouping 68.2% of the times: Exp(B) = 3.151, p042.

LIMITATIONS

Post-hoc, cross-sectional study, relatively small sample size, recall and selection bias on some diagnoses.

CONCLUSIONS

Overall, LOS⁺ treatment-resistant BD inpatients characterize for higher severity and greater pharmaco-utilization use, which warrants replication studies to include additional predictors to shed further light on the matter.

Direct healthcare cost of schizophrenia - European overview

PURPOSE

To provide an overview on the magnitude of the impact of schizophrenia on the healthcare system in Europe and to gain a better understanding on the most important factors influencing the variation of costs.

METHODS

Studies reporting costs and healthcare utilization among patients with schizophrenia were searched in MEDLINE (via Scopus), EMBASE (via Scopus) and Cochrane Database of Systematic Reviews on 19th January 2017.

RESULTS

Twenty-three studies, from the 1075 references initially identified, were included in this review. The annual cost per patient ranged from €533 in Ukraine to €13,704 in the Netherlands. Notably drug costs contributed to less than 25% of the direct healthcare cost per patient in every country, which might be explained by similar pharmaceutical prices among countries due to the reference pricing system applied in Europe. Inpatient costs were the largest component of health service costs in the majority of the countries. Despite methodological heterogeneity across studies, four major themes could be identified (age, severity of symptoms, continuation of treatment/persistence, hospitalization) that have substantial impact on the costs of schizophrenia.

CONCLUSIONS

Schizophrenia represents a substantial cost for the healthcare system in Europe driven by the high cost per patient. Substantial savings could potentially be achieved by increasing investment in the following areas: (1) reducing the number of hospitalizations e.g. by increasing the efficiency of outpatient care; (2) working out interventions targeted at specific symptoms; (3) improving patient persistence and adherence in antipsychotic therapy.

Factors associated with direct health care costs in schizophrenia: Results from the FACE-SZ French dataset

INTRODUCTION

There is a lack of data on health care consumption of patients suffering from schizophrenia, as well as on the related health care costs. Factors associated with health care costs have not been widely studied, whereas knowledge on this topic would allow identifying risk factors and delineating strategies to improve patients' health and follow-up, likely to also decrease health care costs. The aim of this study was to estimate the average direct health care cost of patients with schizophrenia in France and to identify the factors associated with this cost.

METHODS

The study population included patients with schizophrenia enrolled in the FondaMental Advanced Centers of Expertise for Schizophrenia cohort. We accounted for the costs directly related to the treatment of schizophrenia. They included the costs of hospitalizations (full- and part-time), psychiatric ambulatory consultations and medications. We studied three categories of factors potentially associated with direct health care costs: demographic, socioeconomic and clinical characteristics.

RESULTS

Three hundred and ninety five patients with schizophrenia were included. The mean (median) annual direct health care cost per patient amounted to €14,995 (€3,435). A lower level of functioning and being single were associated with a higher cost. A significant association between the expert center of inclusion and the direct health care cost of schizophrenia was also highlighted.

CONCLUSION

Our results highlighted the significant cost of schizophrenia and suggest that improvement in patient care, based on well-validated targeted therapeutic interventions such as psycho-education and cognitive rehabilitation, could reduce worsening in symptom severity and therefore decrease health care costs.

Patient Characteristics, Length of Stay, and Functional Improvement for Schizophrenia Spectrum Disorders: A Population Study of Inpatient Care in Ontario 2005 to 2015

OBJECTIVES

Schizophrenia and associated illnesses account for a large proportion of mental illness burden and health care expenditures, with the majority of expense involving inpatient care. To date, the literature exploring factors associated with length of stay (LOS) and functional improvement during inpatient care is underdeveloped. In response, this study examined the association between patient characteristics, LOS, and functional improvement using Ontario Mental Health Reporting System (OMHRS) data from 2005 to 2015.

METHODS

The associations of patient characteristics (including key demographics, psychosocial variables, reasons for admission, and service use history) and 2 outcome measures (LOS and Global Assessment of Functioning [GAF]) were analysed with generalised linear mixed modelling (GLMM). From 2005 to 2015, a total of 48,498 episodes for distinct patients from 18 psychiatric hospitals and 57 general hospitals in Ontario were included.

RESULTS

For psychiatric and general hospitals, mean LOS was 96.6 and 20.5 days, and mean GAF improvement was 14.8 and 16.1, respectively. The majority of associations probed demonstrated a high degree of significance with similar patterns across general and tertiary facility contexts. Older age and more recent readmission following a psychiatric discharge were associated with longer LOS and less GAF improvement. Recent experience of adverse life events and substance misuse were associated with shorter LOS.

CONCLUSIONS

While the findings of this exploratory cross-sectional analysis will require further inquiry with respect to validity and reliability, they suggest that a different service pathway is likely required for individuals with greater psychosocial challenge and extensive service use histories.

Outcomes after traumatic injury in patients with preexisting psychiatric illness

BACKGROUND

Patients with psychiatric illness have been shown to experience higher rates of traumatic injury. Injury patterns, treatment decisions, and outcomes have not been well characterized in patients with psychiatric illness after injury, in particular those who undergo acute surgical intervention. The purpose of this analysis was to determine mortality, complications, and surgical intervention rates in patients with psychiatric illness after traumatic injury.

METHODS

This is a retrospective study of trauma patients ≥18 years old admitted to LAC + USC Medical Center between January 2008 and March 2015. Patients with psychiatric diagnoses were identified using ICD-9 diagnosis codes. Multivariate logistic regression analyses taking into account demographic and injury characteristics were used to identify associations between psychiatric comorbidity, injury mechanism, surgical interventions, and outcomes in patients after injury.

RESULTS

A total of 26,502 patients were analyzed. Of these, 3,040 (11.5%) had a documented psychiatric comorbidity (2.0% depressive disorder, 0.8% bipolar disorder, 1.3% schizophrenia, 0.5% anxiety disorder, 3.2% substance use disorder). Patients with psychiatric illness were significantly older (49.6 years vs. 42.0 years, p < 0.001), had a lower proportion of penetrating injuries (13.8% vs. 18.1%, p < 0.001), and had a higher incidence of self-inflicted injuries (11.6% vs. 0.72%, p < 0.001). No difference in gender distribution was observed (74.2% men vs. 74.4% men, p = 0.80). Overall mortality was similar in both groups (adjusted odds ratio [aOR], 0.73; p = 0.07). Patients with psychiatric illness were significantly less likely to undergo acute surgical intervention within 6 hours of emergency department admission (aOR, 0.64; p < 0.001). Time from ED arrival to consent for acute surgical intervention was similar in both groups (94.8 min vs. 93.0 min, p = 0.84). No significant difference in mortality after acute surgical intervention was observed (aOR, 0.26; p = 0.10). Psychiatric illness was associated with a significantly higher likelihood of developing complications (aOR, 1.90; p < 0.001) and longer hospital lengths of stay (10.6 days vs. 6.2 days, p < 0.001).

CONCLUSIONS

Trauma patients with comorbid psychiatric illness were observed to have lower rates of acute surgical interventions, higher complication rates, and longer hospital lengths of stay. Further studies are needed to better characterize the causative factors underlying these associations.

LEVEL OF EVIDENCE

Epidemiological, level III.

Reducing bed occupancy and length of stay on a functional older adults’ psychiatric ward

A quality improvement project was initiated on Ivory ward, a functional older adult psychiatric inpatient ward at Newham Centre for Mental Health, part of the East London NHS Foundation Trust. The project was started by staff on the ward after it had come to their attention that their ward had the highest bed occupancy and length of stay across similar wards in the trust. The mean bed occupancy in the 9 months before the project started was 87.7%. The mean length of stay on the ward in the 9 months before the project started was 70 days. The team used the model for improvement, which is the trust’s methodology of choice for quality improvement projects, to reduce bed occupancy and length of stay. The focus was on running small-scale tests of change to see whether these could lead to improvement. These change ideas were refined, scaled up or discontinued as appropriate to help achieve the aim. The project’s aim was to promote quality of care by reducing patient length of stay on Ivory ward to 45 days and bed occupancy to ≤70% or by 1 January 2016. The project team managed to reduce bed occupancy to 58% and length of stay to an average of 35 days.

The Development of Psychiatric Services Providing an Alternative to Full-Time Hospitalization Is Associated with Shorter Length of Stay in French Public Psychiatry

International recommendations for mental health care have advocated for a reduction in the length of stay (LOS) in full-time hospitalization and the development of alternatives to full-time hospitalizations (AFTH) could facilitate alignment with those recommendations. Our objective was therefore to assess whether the development of AFTH in French psychiatric sectors was associated with a reduction in the LOS in full-time hospitalization. Using data from the French national discharge database of psychiatric care, we computed the LOS of patients admitted for full-time hospitalization. The level of development of AFTH was estimated by the share of human resources allocated to those alternatives in the hospital enrolling the staff of each sector. Multi-level modelling was carried out to adjust the analysis on other factors potentially associated with the LOS (patients', psychiatric sectors' and environmental characteristics). We observed considerable variations in the LOS between sectors. Although the majority of these variations resulted from patients' characteristics, a significant negative association was found between the LOS and the development of AFTH, after adjusting for other factors. Our results provide first evidence of the impact of the development of AFTH on mental health care and will provide a lever for policy makers to further develop these alternatives.