Factors associated with length of psychiatric hospitalization

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.

Needs Expressed in Peer-to-Peer Web-Based Interactions Among People With Depression and Anxiety Disorders Hospitalized in a Mental Health Facility: Mixed Methods Study

BACKGROUND

Hospitalization in psychiatric wards is a necessary step for many individuals experiencing severe mental health issues. However, being hospitalized can also be a stressful and unsettling experience. It is crucial to understand and address the various needs of hospitalized individuals with psychiatric disorders to promote their overall well-being and support their recovery.

OBJECTIVE

Our objectives were to identify and describe individual needs related to mental hospitals through peer-to-peer interactions on Polish web-based forums among individuals with depression and anxiety disorders and to assess whether these needs were addressed by peers.

METHODS

We conducted a search of web-based forums focused on depression and anxiety and selected samples of 160 and 176 posts, respectively, until we reached saturation. A mixed methods analysis that included an in-depth content analysis, the Pearson χ2 test, and φ coefficient was used to evaluate the posts.

RESULTS

The most frequently identified needs were the same for depression and anxiety forums and involved informational (105/160, 65.6% and 169/393, 43%, respectively), social life (17/160, 10.6% and 90/393, 22.9%, respectively), and emotional (9/160, 5.6% and 66/393, 16.8%, respectively) needs. The results show that there is no difference in the expression of needs between the analyzed forums. The needs were directly (42/47, 89% vs 98/110, 89.1% of times for depression and anxiety, respectively) and not fully (27/47, 57% vs 86/110, 78.2% of times for depression and anxiety, respectively) addressed by forum users. In quantitative analysis, we found that depression-related forums had more posts about the need for informational support and rectification, the expression of anger, and seeking professional support. By contrast, anxiety-related forums had more posts about the need for emotional support; social life; and information concerning medications, hope, and motivation. The most common co-occurrence of expressed needs was between sharing own experience and the need for professional support, with a strong positive association. The qualitative analysis showed that users join web-based communities to discuss their fears and questions about psychiatric hospitals. The posts revealed 4 mental and emotional representations of psychiatric hospitals: the hospital as an unknown place, the ambivalence of presumptions and needs, the negative representation of psychiatric hospitals, and the people associated with psychiatric hospitals. The tone of the posts was mostly negative, with discussions revolving around negative stereotypes; traumatic experiences; and beliefs that increased anxiety, shock, and fright and deterred users from hospitalization.

CONCLUSIONS

Our study demonstrates that web-based forums can provide a platform for individuals with depression and anxiety disorders to express a wide range of needs. Most needs were addressed by peers but not sufficiently. Mental health professionals can benefit from these findings by gaining insights into the unique needs and concerns of their patients, thus allowing for more effective treatment and support.

Socio-demographic Predictors of Hospitalization Duration Among Patients with Borderline Personality Disorder

Borderline personality disorder (BPD) is a complex psychopathology associated with high service utilization rates. In turn, the hospitalization of BPD patients is a controversial challenge for mental health professionals. Prior literature has identified certain socio-demographic factors as linked to an increased risk of BPD. In this study, we examined the possible connection between these socio-demographic factors and hospitalization duration. We analyzed 1077 hospitalization records of 200 BPD-diagnosed patients. Patients' gender, age, education level, employment and marital statuses, and living arrangement were statistically significantly linked with hospitalization duration. Specifically, female gender, age twenty or below, no high-school diploma (or, to a lesser extent, a diploma with no academic education), unemployment status and/or patients who live with parents are strongly associated with longer hospitalizations compared to male gender, older patients, more educated, married/divorced status and/or those who do not live with their parents. Additionally, the results point to a weak, albeit statistically significant, temporal pattern with more advanced hospitalizations generally aligning with the duration of their preceding ones, while being slightly shorter. In order to prevent potentially unnecessary prolonged and regressive hospitalizations, an estimation of the expected hospitalization duration should be explicitly considered when setting hospitalization goals and plans.

Association of neurocognitive function with psychiatric hospitalization and socio-demographic conditions in individuals with bipolar and major depressive disorders

Background

Neurocognitive impairments are associated with poor clinical and employment outcomes in individuals with affective disorders. However, little is known about their associations with long-term clinical outcomes such as psychiatric hospitalizations, and with socio-demographic indicators other than employment. In the largest longitudinal study of neurocognition in affective disorders to date, we investigate the role of neurocognitive impairments on psychiatric hospitalizations and socio-demographic conditions.

Methods

The study included 518 individuals with bipolar or major depressive disorder. Neurocognitive assessments covered executive function and verbal memory domains. Longitudinal data on psychiatric hospitalization and socio-demographic conditions (employment, cohabitation, and marital status) for up to 11 years were obtained using National population-based registers. The primary and secondary outcomes were psychiatric hospitalizations (n = 398) and worsening of socio-demographic conditions (n = 518), in the follow-up period since study inclusion, respectively. Cox regression models were used to examine the association of neurocognition with future psychiatric hospitalizations and the worsening of socio-demographic conditions.

Findings

Clinically significant impairment in verbal memory (z-score ≤ -1; defined by the ISBD Cognition Task Force), but not in executive function, was associated with a higher risk of future hospitalization, when adjusted for age, sex, hospitalization in the year preceding inclusion, depression severity, diagnosis, and type of clinical trial (HR = 1.84, 95% CI:1.05-3.25, p = 0.034; n = 398). The results remained significant even after accounting for illness duration. Neurocognitive impairments were not associated with the worsening of socio-demographic conditions (p ≥ 0.17; n = 518).

Interpretation

Promoting neurocognitive function, especially verbal memory, may mitigate the risk of future psychiatric hospitalization in individuals with affective disorders.

Funding

Lundbeckfonden (R279-2018-1145).

A comparison of clinical characteristics of psychiatric inpatients in three hospitals from Western China and America

BACKGROUND

Different countries have differences in social and cultural context and health system, which may affect the clinical characteristics of psychiatric inpatients. This study was the first to compare cross-cultural differences in the clinical characteristics of psychiatric inpatients in three hospitals from Western China and America.

METHODS

Overall, 905 and 1318 patients from three hospitals, one in America and two in Western China, respectively, were included. We used a standardised protocol and data collection procedure to record inpatients' sociodemographic and clinical characteristics.

RESULTS

Significant differences were found between hospitals from the two countries. Positive symptoms were the main reason for admission in the Chinese hospitals, while reported suicide and self-injury symptoms more frequently led to hospital admission in America. Moreover, there were more inpatients with combined substance abuse in the American hospital (97.6% vs. 1.9%, P < 0.001). The length of stay (LOS) in America was generally shorter than in China (10.5 ± 11.9 vs. 20.7 ± 13.4, P < 0.001). The dosage of antipsychotic drugs used in the American hospital was higher than in China (275.1 ± 306.9 mg vs. 238.3 ± 212.5 mg, P = 0.002). Regression analysis showed that male sex, older age, retirees, being admitted because of physical symptoms, and using higher doses of antipsychotic drugs were significantly associated with longer hospitalisation in the American hospital (P < 0.05). Comparatively, patients who were divorced, experiencing suicidal ideation, admitted involuntarily, admitted because of physical, depression, or anxiety symptoms, and using higher doses of antipsychotic drugs had longer hospitalisation in Chinese hospitals (P < 0.05).

CONCLUSION

Significant variations in clinical characteristics of inpatients were found between hospitals from Western China and America. The LOS in Chinese hospitals was significantly longer, but patients used higher doses of antipsychotic drugs in the American hospital. Admission due to physical symptoms and the use of higher dosage drugs were related to longer LOS in both countries.

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.

Predictors of Length of Hospitalization and Impact on Early Readmission for Mental Disorders

Length of hospitalization, if inappropriate to patient needs, may be associated with early readmission, reflecting sub-optimal hospital treatment, and translating difficulties to access outpatient care after discharge. This study identified predictors of brief-stay (1-6 days), mid-stay (7-30 days) or long-stay (≥31 days) hospitalization, and evaluated how lengths of hospital stay impacted on early readmission (within 30 days) among 3729 patients with mental disorders (MD) or substance-related disorders (SRD). This five-year cohort study used medical administrative databases and multinomial logistic regression. Compared to patients with brief-stay or mid-stay hospitalization, more long-stay patients were 65+ years old, had serious MD, and had a usual psychiatrist rather than a general practitioner (GP). Predictors of early readmission were brief-stay hospitalization, residence in more materially deprived areas, more diagnoses of MD/SRD or chronic physical illnesses, and having a usual psychiatrist with or without a GP. Patients with long-stay hospitalization (≥31 days) and early readmission had more complex conditions, especially more co-occurring chronic physical illnesses, and more serious MD, while they tended to have a usual psychiatrist with or without a GP. For patients with more complex conditions, programs such as assertive community treatment, intensive case management or home treatment would be advisable, particularly for those living in materially deprived areas.

Factors related to the length of stay for major depressive disorder patients in China: A real-world retrospective study

Background

As numerous patients with depression have to be hospitalized because of various reasons, the demand far exceeds the limited bed count in the psychiatry department. Controlling the length of stay (LOS) of the patient is gradually being considered an effective method to alleviate this problem. Given the lack of statistical evidence of the LOS of patients with major depressive disorder (MDD) in China and the strain on the limited psychiatric resources, the purpose of our study was to investigate the LOS of patients with MDD among in-patient samples and to analyze related factors of the LOS in China by building a regression model.

Method

The data were exported from the electronic medical record system. A total of three categories of independent variables were enrolled in our study, namely, demographic, clinical, and biochemical. Univariate analysis and binominal regression analysis were applied comprehensively to find the factors related to the LOS among MDD samples. The discrimination accuracy of the model was evaluated by the receiver operating characteristic (ROC) analysis. ROC analysis indicated that the discrimination accuracy of our model was acceptable (AUC = 0.790, 95% CI = 0.714–0.865, P < 0.001).

Result

A total of 254 patients were finally brought into analysis after filtering. Regression analysis indicated that abnormal LDL was the only risk factor of long LOS (OR = 3.352, 95% CI = 1.087–10.337, P = 0.035) among all the kinds of variables. Notably, in the statistically irrelevant factors of the LOS, the category of anti-depressant drugs [serotonin–norepinephrine reuptake inhibitor (SNRI) or selective serotonin reuptake inhibitor (SSRI)] prescribed to patients with MDD was not associated statistically with the LOS, which was against our initial hypothesis that the LOS of patients with MDD treated with SNRI would vary from that of the patients treated with SSRI.

Conclusion

Up to our knowledge, our research is the first study to show the potential factors related to the LOS from various domains, especially biochemical indexes, and the effect of drugs, among clinical patients with MDD in China. Our results could provide a theoretical reference for efficient psychiatry hospitalization management and prioritization of allocating medical resources. Future studies are required for updating independent variables which are potentially related to the LOS and verifying existing results in a larger sample.

Individualized prediction of psychiatric readmissions for patients with major depressive disorder: a 10-year retrospective cohort study

Patients with major depressive disorder (MDD) are at high risk of psychiatric readmission while the factors associated with such adverse illness trajectories and the impact of the same factor at different follow-up times remain unclear. Based on machine learning (ML) approaches and real-world electronic medical records (EMR), we aimed to predict individual psychiatric readmission within 30, 60, 90, 180, and 365 days of an initial major depression hospitalization. In addition, we examined to what extent our prediction model could be made interpretable by quantifying and visualizing the features that drive the predictions at different follow-up times. By identifying 13,177 individuals discharged from a hospital located in western China between 2009 and 2018 with a recorded diagnosis of MDD, we established five prediction-modeling cohorts with different follow-up times. Four different ML models were trained with features extracted from the EMR, and explainable methods (SHAP and Break Down) were utilized to analyze the contribution of each of the features at both population-level and individual-level. The model showed a performance on the holdout testing dataset that decreased over follow-up time after discharge: AUC 0.814 (0.758-0.87) within 30 days, AUC 0.780 (0.728-0.833) within 60 days, AUC 0.798 (0.75-0.846) within 90 days, AUC 0.740 (0.687-0.794) within 180 days, and AUC 0.711 (0.676-0.747) within 365 days. Results add evidence that markers of depression severity and symptoms (recurrence of the symptoms, combination of key symptoms, the number of core symptoms and physical symptoms), along with age, gender, type of payment, length of stay, comorbidity, treatment patterns such as the use of anxiolytics, antipsychotics, antidepressants (especially Fluoxetine, Clonazepam, Olanzapine, and Alprazolam), physiotherapy, and psychotherapy, and vital signs like pulse and SBP, may improve prediction of psychiatric readmission. Some features can drive the prediction towards readmission at one follow-up time and towards non-readmission at another. Using such a model for decision support gives the clinician dynamic information of the patient's risk of psychiatric readmission and the specific features pulling towards readmission. This finding points to the potential of establishing personalized interventions that change with follow-up time.

AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units

Introduction

Growing demand for mental health services, coupled with funding and resource limitations, creates an opportunity for novel technological solutions including artificial intelligence (AI). This study aims to identify issues in patient flow on mental health units and align them with potential AI solutions, ultimately devising a model for their integration at service level.

Method

Following a narrative literature review and pilot interview, 20 semi-structured interviews were conducted with AI and mental health experts. Thematic analysis was then used to analyse and synthesise gathered data and construct an enhanced model.

Results

Predictive variables for length-of-stay and readmission rate are not consistent in the literature. There are, however, common themes in patient flow issues. An analysis identified several potential areas for AI-enhanced patient flow. Firstly, AI could improve patient flow by streamlining administrative tasks and optimising allocation of resources. Secondly, real-time data analytics systems could support clinician decision-making in triage, discharge, diagnosis and treatment stages. Finally, longer-term, development of solutions such as digital phenotyping could help transform mental health care to a more preventative, personalised model.

Conclusions

Recommendations were formulated for NHS trusts open to adopting AI patient flow enhancements. Although AI offers many promising use-cases, greater collaborative investment and infrastructure are needed to deliver clinically validated improvements. Concerns around data-use, regulation and transparency remain, and hospitals must continue to balance guidelines with stakeholder priorities. Further research is needed to connect existing case studies and develop a framework for their evaluation.

Insights from homeless men about PRISM, an innovative shelter-based mental health service

PRISM (Projet Réaffiliation Itinérance Santé Mentale-mental health and homelessness reaffiliation project), is a new shelter-based mental health service in Montreal, Canada. It offers short-term residential services in a shelter with the aim of housing and connecting the person to the appropriate services in the community. This qualitative research project was designed to gain a rich understanding of service-user experience within this program, and to apply these impressions to a broader reflection concerning how to best serve the needs of homeless people living with severe mental illness. We conducted in-depth interviews with 20 clients from the all-male PRISM-Welcome Hall Mission at program intake and departure between May 2018 and March 2019. We used methods stemming from grounded theory to analyze themes emerging from the interviews. Analysis revealed three core aspects endorsed by PRISM clients as helpful to their recovery: first, the community-based and flexible PRISM structure allows for continuity in daily routine through the preservation and expansion of the client's existing informal resource network; second, the secure environment is conducive to improving one's physical and mental health; and third, the multimodal mental health and social service approach used at PRISM is appreciated and stands in contrast to what most have experienced during other inpatient experiences. This led us to reflect more broadly on the benefits of a shelter-based intervention, as a catalyst to the achievement of longer-term goals such as housing, as well as flexible care adapted to the specific needs of these individuals. Even though this study took place in a specific program in Quebec, it sheds light more broadly on how to best meet the needs of individuals with mental illness living in homeless situations and contributes to the growing literature on men's mental health.

Single-Session Dance/Movement Therapy for Thought and Behavioral Dysfunction Associated With Schizophrenia: A Mixed Methods Feasibility Study

ABSTRACT

This purposes of this mixed methods feasibility study were to determine whether people with schizophrenia in an inpatient psychiatric facility were able to complete the research protocol, and to obtain preliminary treatment effects of a single-session dance/movement therapy (DMT) intervention versus verbal treatment as usual (TAU). Thirty-two participants were randomized to a 45-minute DMT or verbal TAU session. Data were collected quantitatively using the Brief Psychiatric Rating Scale (BPRS) and qualitatively through open-ended interviews. Results indicated that participants in the DMT group had statistically significant symptom reduction compared with those in the TAU group in overall BPRS scores (effect size [ES] = 0.67), psychological discomfort (ES = 0.64), negative symptoms (ES = 0.67), and positive symptoms (ES = 0.55). No statistical significance was shown for resistance. Qualitative findings substantiate the quantitative findings, however, show divergence regarding resistance. Participants in the DMT group expressed feeling in control, less angry, and motivated for treatment.

Factors Related to the Length of Stay for Patients With Schizophrenia: A Retrospective Study

BACKGROUND

The length of stay (LOS) of patients with schizophrenia has been a wide concern of researchers. Reasonable management of the LOS to achieve a balance between quality of treatment and efficient medical source allocation has become a significant issue in clinical work in psychiatry. Figuring out the factors related to the LOS of schizophrenia patients can help optimize its management by the hospital.

METHOD

The essential information of patients was obtained from the electronic medical record system. The variables were divided into the following kinds: demographic, clinical, and biochemical. Univariate analysis and multivariate analysis were conducted to find the potential factors related to the LOS of schizophrenia patients. Receiver operating characteristic analyses were conducted to evaluate the accuracy of judging the LOS of the regression model.

RESULT

A total of 1,160 patients with schizophrenia were enrolled in our research. Our results demonstrated that the status of unmarried (single, separated, divorced, or widowed) and the abnormality of thyroid-stimulating hormone (TSH) were risk factors for the longer LOS of schizophrenia patients. The area under the curve was 0.576, which meant that the regression model had a certain predictive value.

CONCLUSION

To our knowledge, this research is the first study to analyze the effect of various factors, including the biochemical index, on the LOS of a single type of mental disorder. Marital status and TSH were proven to be related to the LOS of schizophrenia patients. The results of this study provided reference factors of LOS for clinical psychiatry, which will be helpful to the management of hospitalization and in optimizing the allocation of medical sources.

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.

Non-psychiatric hospitalization length-of-stay for patients with psychotic disorders: A mixed methods study

OBJECTIVE

Patients with psychotic disorders experience higher rates of chronic and acute non-psychotic diseases and have frequent non-psychiatric hospitalizations which result in both longer and more varied length-of-stay (LoS) than other patients. This study seeks to use a patient-centered perspective to examine LoS.

METHODS

This article reports Phase Two of a mixed methods, exploratory sequential study on non-psychiatric hospitalizations for individuals with psychotic disorders. Patients' experiences were used to guide a quantitative analysis of LoS using a general linear model.

RESULTS

Medical comorbidities were the patient characteristics which had the largest effect on LoS. Certain processes of care highlighted by patients from Phase One were also associated with longer LoS, including: physical restraints (105%), psychiatric consults (20%) and continuous observation (133%). Only recent in-system outpatient appointments were associated with shorter LoS. Data integration highlighted that factors which were important to patients such as partner support, were not always quantitatively significant, while others like medical comorbidities and use of physical restraints were points of congruence.

CONCLUSIONS

Medical comorbidities were highly associated with LoS but processes relating to longer LoS are those that are used to manage symptoms of acute psychosis. Clinicians should develop policies and procedures that address psychosis symptoms effectively during non-psychiatric hospitalizations. Further research is needed to understand which patients with psychotic disorders are at highest risk of extended length-of-stay.

Length of stay among multi-ethnic psychiatric inpatients in the United Kingdom

BACKGROUND

Disproportionate rates of psychiatric admissions and length of stay (LOS)¹ have been repeatedly observed among Black and Minority Ethnic (BME)² groups with severe mental illness (SMI), specifically those of Black Caribbean heritage. Commensurate understanding of the mechanisms underlying this observation remains poorly understood, warranting further attention.

METHOD

A quasi-experimental retrospective cohort design was used to examine 11,617 psychiatric inpatient admissions in London, U.K. Variations in LOS across four ethnic groups (i.e., Black Caribbean, Black African, White British, and Asian) were recorded. Multivariate logistic regression was then used to determine the extent to which demographic (age, marital status, gender, homeless at admission), clinical (primary diagnosis, substance misuse), and behavioral variables (violent behavior, deliberate self-harm, victimization) explained any observed differences across ethnic groups.

RESULTS

Univariate analyses revealed that while Black Caribbean and African minority group admissions were significantly more likely to be a longer (>28 days) than shorter (≤28 days) LOS, White British admissions demonstrated the opposite association. After adjusting for demographic, clinical, and behavioral factors, the multivariate logistic regression only partially explained the association between Black Caribbean and African admissions and longer LOS compared to White British admissions. The regression model explained approximately 18% of the observed variance in LOS.

CONCLUSIONS

These findings indicate that additional variables, such as treatment, system related, and discrimination-based factors, should be examined to better understand the complex relationship between BME groups and LOS in order to improve the experience and outcomes of these vulnerable psychiatric populations.

Mortality Among Patients Discharged From an Acute Psychiatric Department: A 5-Year Prospective Study

The primary aim of the study was to explore the post discharge standardized mortality ratio of patients from an acute psychiatric department in Norway. The secondary aims were to explore if the standardized mortality ratio is still increasing and to examine the causes of death in the defined population. We conducted a 5-year prospective study among patients admitted to an acute psychiatric department with catchment area responsibilities. A total of 380 patients were included in the study, and the number and causes of deaths were obtained from the Norwegian Cause of Death Registry. Excess mortality was found for the patient group. The standardized mortality ratio for all causes of death was 6.7 (95% CI, 4.6-8.8). The study finds an increased standardized mortality ratio relative to a previous corresponding study in Norway, and the suicide risk was especially elevated the first 2 years after discharge.

Shifting Trends in Admission Patterns of an Acute Inpatient Psychiatric Unit in the State of New York

Introduction Deinstitutionalization has led to various changes in the utilization of healthcare services. The increased focus on treating patients within the community has led to variations in the utilization patterns of inpatient units. Shifts in demographic variables and disease-related, system-based, and economic factors have been observed. Due to the paucity of recent literature, this study was planned to assess the characteristics and treatment patterns in an acute inpatient psychiatric unit of a university hospital. Methods A retrospective observational study reviewing electronic medical records of patients in the context of demographic, disease-related, treatment-related, and system-based data was conducted over five years. Quantitative data were analyzed through descriptive statistics. Linear regression was used to study each variable across time. Results There was an increase in neurodevelopmental disorders (p = 0.024), substance use disorders (p = 0.041), and trauma and stressor-related disorders (p = 0.012), with a decrease in depressive disorders (p = 0.047). The use of restraints (p = 0.035) has increased significantly during the same period. Conclusion This study gives us an insight into the changing trends in patient characteristics which have the potential to inform the creation of improved services.

Length of hospitalization and hospital readmissions among patients with substance use disorders in New York City, NY USA

INTRODUCTION

In the United States, the number of patients with substance use disorders is steadily increasing. Individuals with a substance use disorder may be more likely to experience negative hospital outcomes, including lengthier hospital stays and frequent readmissions, which is extremely costly to patients and to the government. While there are established associations between substance use disorder and hospital readmissions, the impact of substance use disorder on other outcomes such as length of stay remain unclear. We assessed whether hospital admissions diagnosed with substance use disorders experienced longer hospital stays and readmissions compared to patients without a substance use disorder diagnosis.

METHODS

This is a retrospective study of hospital readmissions rates in three hospitals in the New York City, New York area. Data were examined over a 10-year period (from 2007 to 2016, n = 768,219). We used multilevel multivariable regression models to compare the hospital length of stay, time-to-hospital readmission, and 30-day hospital readmission among admissions with substance use disorder compared to admissions without the disorder.

RESULTS

As compared to those who did not have a substance use disorder, admissions with substance use disorder had longer hospital length of stay (Regression coefficient (b) = 1.24; 95% CI: 1.15-1.33), were more likely to experience hospital readmission at any point in time (HR = 1.24; 95 % CI: 1.22-1.25), and were more likely to have a 30-day hospital readmission (RR = 1.16; 95 % CI: 1.13-1.19).

CONCLUSIONS

Hospital settings could potentially serve as useful venues for substance use-related interventions and could benefit from strong coordination with outpatient providers and more targeted discharge planning.

Feature sensitivity criterion-based sampling strategy from the Optimization based on Phylogram Analysis (Fs-OPA) and Cox regression applied to mental disorder datasets

Digital datasets in several health care facilities, as hospitals and prehospital services, accumulated data from thousands of patients for more than a decade. In general, there is no local team with enough experts with the required different skills capable of analyzing them in entirety. The integration of those abilities usually demands a relatively long-period and is cost. Considering that scenario, this paper proposes a new Feature Sensitivity technique that can automatically deal with a large dataset. It uses a criterion-based sampling strategy from the Optimization based on Phylogram Analysis. Called FS-opa, the new approach seems proper for dealing with any types of raw data from health centers and manipulate their entire datasets. Besides, FS-opa can find the principal features for the construction of inference models without depending on expert knowledge of the problem domain. The selected features can be combined with usual statistical or machine learning methods to perform predictions. The new method can mine entire datasets from scratch. FS-opa was evaluated using a relatively large dataset from electronic health records of mental disorder prehospital services in Brazil. Cox's approach was integrated to FS-opa to generate survival analysis models related to the length of stay (LOS) in hospitals, assuming that it is a relevant aspect that can benefit estimates of the efficiency of hospitals and the quality of patient treatments. Since FS-opa can work with raw datasets, no knowledge from the problem domain was used to obtain the preliminary prediction models found. Results show that FS-opa succeeded in performing a feature sensitivity analysis using only the raw data available. In this way, FS-opa can find the principal features without bias of an inference model, since the proposed method does not use it. Moreover, the experiments show that FS-opa can provide models with a useful trade-off according to their representativeness and parsimony. It can benefit further analyses by experts since they can focus on aspects that benefit problem modeling.

Psychiatric Consultations in General Hospitals: A Scoping Review

Context: The rapid growth of psychiatric disorders requires psychiatric consultations to be provided on a greater scale, particularly for hospitalized patients. Objectives: The aim of this study was to evaluate the extent of psychiatric consultation requests in general hospitals and to identify potential gaps in the literature. Evidence Acquisition: This scoping review was based on relevant research published in Web of Science, Scopus, PubMed, Embase, and Cochrane (1977- Dec 2019). The collected literature was closely examined prior to selecting the applicable studies by means of peer review. Data were summarized within a framework of themes comprised of psychiatric consultation, prevalence of psychiatric disorders, hospital departments, diagnosis of psychiatric disorders, and nature of research prior to theoretical classification and tabulation. Results: Ultimately, 22 studies were included in this scoping review. Requests for psychiatric consultations were highest in Austria and Italy, with 22.6% and 13.6% of cases, respectively. The majority of requests were from internal and surgical departments. Consultations were requested more frequently for female patients compared to male patients. mood disorders and substance use disorder were the most diagnostic reports. Conclusions: Taking into consideration the prevalence of psychiatric disorders in patients suffering from physical illnesses, the referral rate results were considerably low. Although the frequency of psychiatric consultation reports vary widely between countries. As we limited the review to articles written in English, this may be due to selection bias. In this review, we identified that methodological differences and the use of different diagnostic criteria are major gaps that limit a definitive statistical comparison between studies.

Determinants of Length of Stay in a Psychiatric Ward: a Retrospective Chart Review

Considering the limited resources for providing inpatient services, identification of the factors influencing length of stay (LOS) is of great importance. The current study is a retrospective chart review which was planned to investigate the determinants of LOS in two gender-specific psychiatric wards within Baqiatallah Hospital (BQH) located in Tehran. The observation period was between March 21, 2011 and March 19, 2016. 3203 patients were recruited in terms of inclusion and exclusion criteria. Next, required data on 25 explanatory variables were extracted from their case-files. Descriptive measures were used for analysis and Independent Samples T-test, one-way ANOVA, Pearson's correlation coefficient and Bonferroni's post-hoc test for inferential analysis. Lastly, a multiple linear regression model was run to determine significant predictors of psychiatric LOS. Variables significantly correlated with patients' LOS included gender, age, employment status, marital status, number of divorces, disability rate, discharge diagnosis, physical comorbidity, number of previous hospitalizations, suicide ideation, number of suicide attempts, history of assault, tobacco consumption, a history of narcotic drug abuse and number of ECT sessions. Through the analysis of multiple linear regression, it came to light that significant predictors of LOS in the final model could account for 37.9% of the variance in LOS. From the findings of current study, it can be inferred that clinical aspects as well as treatment procedures have major effects on LOS. Although the factors examined here could not explain an acceptable variance in LOS, the results are useful for the treatment team when they want to devise a care plan or give discharge to a patient.

A cross-sectional study on the characteristics and factors associated with the clinical course of child and adolescent patients hospitalized in a public child and adolescent psychiatric unit of Chile

Introduction

Patients of the Short-stay Child and Adolescent Unit of the Del Salvador Psychiatric Hospital (Valparaíso, Chile) exhibit different clinical and social characteristics compared to literature reports of other national centers, although published data are scarce.

Objectives

To describe the operation of the Unit, the socio-familial and clinical characteristics of its patients and analyze factors associated with their clinical evolution.

Methods

We performed a cross-sectional study to describe the patients hospitalized over a three-year period. Variables were registered in an anonymized database. Clinical evolution was evaluated over the year following hospital discharge.

Results

The Unit's model of care can be described as involving biomedical, psychodynamic, and ecological components. We included 98 patients, of which 70.4% were male, and the average age was 11.5 ± 2.3 years. 82.6% were of low socioeconomic status, and 35.7% did not attend school; 98.9% presented family dysfunction, and 91.8% of parents had a history of psychopathology. The most frequent reason for admission was the risk of harm to self or others. The most frequent discharge diagnoses were behavioral, depressive, and personality development disorders. The average length of stay was 41.8 ± 31.1 days. The most commonly used pharmacological agents were antipsychotics and mood stabilizers. Regarding clinical evolution in the first year post-discharge, 47% were evaluated as positive, 27% regular, and 26% unsatisfactory. The factor associated with an unsatisfactory clinical course was having had in-patient antidepressants. Re-admission during the first year post-discharge was associated with comorbid substance use disorder. Treatment noncompliance was associated with a history of behavioral disorder at hospital discharge and having parents with a history of suicide or consummated suicide.

Conclusions

The patient profile is one of low socioeconomic status, severe psychopathology, maladaptive behavior, family dysfunction, and parental psychopathology. Substance use disorder is also associated with readmission.

Association between suicide death and concordance with benzodiazepine treatment guidelines for anxiety and sleep disorders

OBJECTIVE

Guidelines for management of anxiety and sleep disorders emphasize antidepressant medications and/or psychotherapy as first/second-line and benzodiazepines as third-line treatments. We evaluated the association between suicide death and concordance with benzodiazepine guidelines.

METHODS

Retrospective case-control study of patients with anxiety and/or sleep disorders from health systems across 8 U.S. states within the Mental Health Research Network. Suicide death cases were matched to controls on year and health system. Appropriate benzodiazepine prescribing defined as: no monotherapy, no long duration, and/or age < 65 years. The association between guideline concordance and suicide death was evaluated, adjusting for diagnostic and treatment covariates.

RESULTS

Sample included 6960 patients with anxiety disorders (2363 filled benzodiazepine) and 6215 with sleep disorders (1237 filled benzodiazepine). Benzodiazepine guideline concordance was associated with reduced odds for suicide in patients with anxiety disorders (OR = 0.611, 95% CI = 0.392-0.953, p = 0.03) and was driven by shorter duration of benzodiazepine use with concomitant psychotherapy or antidepressant medication. The association of benzodiazepine guideline concordance with suicide death did not meet statistical significance in the sleep disorder group (OR = 0.413, 95% CI = 0.154-1.11, p = 0.08).

CONCLUSIONS

We found reduced odds for suicide in those with anxiety disorders who filled benzodiazepines in short-moderate duration with concomitant psychotherapy or antidepressant treatment.

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.

Assessing quality indicators related to mental health emergency room utilization

Background

This descriptive study compared 2014–15 to 2005–06 data on the quality of mental health services (MHS) in relation to emergency room (ER) use to assess the impact of the 2005 Quebec MH reform regarding access, continuity and appropriateness of care for patients with mental illnesses (PMI).

Methods

Data emanated from the Quebec Integrated Chronic Disease Surveillance System (Quebec/Canada). Participants (865,255 for 2014–15; 817,395 for 2005–06) were age 12 or over, with at least one MI, including substance use disorders (SUD), diagnosed during an ER visit, outpatient treatment or hospitalization. Variables included: access (ER use/frequency, hospitalization rates, outpatient consultations preceding an ER visit), care continuity (outpatient consultations following an ER visit/hospitalization, consecutive returns to the ERs), and care appropriateness (high ER use, recurrence of yearly ER visits, length of hospitalization). Frequency distributions were calculated on sex, age and geographic area for ER visits/hospitalizations in 2014–15, and between 2014 and 15 and 2005–06.

Results

PMI accounted for 12 % of the Quebec population in 2014–15 (n = 865,255), of whom 39% visited an ER for any reason. Amount and frequency of ER use and number/length of hospitalizations were almost twice as high for PMI versus patients without MI; 17% of PMI were also high/very high ER users and were frequently hospitalized. Among PMI, ER users were also frequent users of outpatient services despite a lack of follow-up appointments after ER visits or hospitalizations. Findings revealed some positive changes over time, such as decreased ER and hospitalization rates; yet overall access, continuity and appropriateness of care, as measured in this study, remained low.

Conclusions

This study demonstrated that the Quebec reform did not produce a substantial impact on ER use or substantially improved care, as hypothesized. Better access and continuity of care should be promoted to reduce the high prevalence of ER use among PMI. Quality improvement in MHS may be realized if ERs are supported by substantial and well-integrated community MH networks.

Factors Associated with Length of Stay in Psychiatric Inpatient Services in London, UK

The purpose of this research was to identify factors associated with lengthy stays in psychiatric hospital in a UK mental health trust. A multiple regression using a multiple imputation method to deal with missing data was performed on inpatient admissions data over a four-year period for 7653 individuals. Factors associated with a longer length of stay included gender (being male), ethnicity (being Asian/Asian British, Black/Black British, or having a mixed background compared to being White/White British), accommodation status (being homeless, or in accommodation with support), primary diagnostic group of psychosis (F20-29), and number of care coordinators. Marital status was not found to be associated with length of stay in this sample. Length of stay is likely to be multifactorially determined, and more similar studies examining factors associated with length of hospital stay are needed to understand the operation of psychiatric services.

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.

Lessons from the past: Family involvement in patient admission and discharge, Beechworth Lunatic Asylum, 1900-1912

In this study, document analysis is used to examine case books from the Beechworth Lunatic Asylum with the aim of determining the extent of family involvement in patients' admission and discharge. There were 420 male and 278 female patients admitted in the study period, with over half transferred from other Victorian asylums. Next of kin were identified for 64% of male and 84% of female patients. Families were involved in the admission of 52 (12%) male and 50 (18%) female patients, usually by bringing patients to the asylum or providing evidence of behavioural changes. Approximately 25% of patients were discharged (101 men and 62 women) and of these, families were involved in discharge for 26% of male and 71% of female patients, mainly by taking responsibility for them during trial discharge. Occasionally families refused to do this, or sought to have patients detained because of fears of violence. The relevance of the study to contemporary practice is explored, particularly the need for dialogue between clinicians and families who identify behavioural changes in family members, appropriate support for family carers, and timely provision of community care following discharge from inpatient facilities.

Predictors of length of stay in psychiatric inpatient units: Does their effect vary across countries?

BACKGROUND

Previous studies in individual countries have identified inconsistent predictors of length of stay (LoS) in psychiatric inpatient units. This may reflect methodological inconsistencies across studies or true differences of predictors. In this study we assessed predictors of LoS in five European countries and explored whether their effect varies across countries.

METHODS

Prospective cohort study. All patients admitted over 14 months to 57 psychiatric inpatient units in Belgium, Germany, Italy, Poland and United Kingdom were screened. Putative predictors were collected from medical records and in face-to-face interviews and tested for their association with LoS.

RESULTS

Average LoS varied from 17.9days in Italy to 55.1days in Belgium. In the overall sample being homeless, receiving benefits, social isolation, diagnosis of psychosis, greater symptom severity, substance use, history of previous admission and being involuntarily admitted predicted longer LoS. Several predictors showed significant interaction effects with countries in predicting LoS. One variable, homelessness, predicted a different LoS even in opposite directions, whilst for other predictors the direction of the association was the same, but the strength of the association with LoS varied across countries.

CONCLUSIONS

The same patient characteristics have a different impact on LoS in different contexts. Thus, although some predictor variables related to clinical severity and social dysfunction appear of generalisable relevance, national studies on LoS are required to understand the complex influence of different patient characteristics on clinical practice in the given contexts.

Factors affecting prolonged length of stay in psychiatric patients in Japan: A retrospective observational study

AIM

Hospital length of stay (LOS) is one of the stratified measures of health-care efficiency and is commonly used to assess performance of psychiatric care. The aim of this study was to identify risk factors for prolonged LOS of psychiatric patients.

METHODS

We retrospectively analyzed adult psychiatric patients (ICD-10; F00-F99) between April 2012 and March 2014 in the Japanese Diagnosis Procedure Combination database. We examined factors affecting prolonged LOS using multivariable logistic regression analysis. Subgroup analyses of the logistic regression were undertaken according to two diagnostic groups (F20-F29 and F30-F39).

RESULTS

A total of 34 326 patients admitted to and discharged from psychiatric beds were included. Older age, lower Global Assessment of Functioning score, involuntary commitment, several psychiatric services, certain other patient factors, academic hospitals, public hospitals, and higher density of psychiatric beds were significantly associated with prolonged LOS. Hospital patient volume was significantly associated with shorter LOS. In the subgroup analyses, most of these factors were consistent although some were not associated with prolonged LOS.

CONCLUSION

Not only clinical factors but also institutional characteristics were associated with prolonged LOS. Our study provided useful information for improvement in psychiatric services and indicated the need to consider the division of roles between healthcare/welfare institutions and psychiatric-related resource allocation. Interventions should be considered for achieving shorter LOS for psychiatric patients.

Predictors of Length of Stay in an Inpatient Psychiatric Unit of a General Hospital in Perugia, Italy

The aim of this study was to understand which of a number of factors are most associated with psychiatric inpatient length of stay (LoS). We hypothesized that a longer LoS would be predicted by: older age, male gender, unmarried marital status, foreign nationality, more than one hospitalization, being hospitalized involuntarily, psychotic symptoms and behavioral dyscontrol at admission, discharge diagnosis of psychotic and personality disorders, not having a substance use disorder, treatment with more than one class of medications, and being discharged to a community residential facility. All admissions to the Psychiatric Inpatient Unit of Santa Maria della Misericordia, Perugia Hospital, Umbria, Italy, from June 2011 to June 2014, were included in a medical record review. Bivariate analyses were performed and a multiple linear regression model was built using variables that were associated (p < .05) with LoS in bivariate tests. The study sample included 1236 patients. In the final, most parsimonious regression model, five variables independently explained 18 % of variance in LoS: being admitted involuntarily, being admitted for thought disorders, not having a substance-related disorder, having had more than one hospitalization, and being discharged to a community residential facility. LoS on this inpatient psychiatric unit in Umbria was associated with a number of sociodemographic and clinical characteristics. Knowledge of these and other predictors of LoS will be increasingly important to, when possible, reduce the length of restrictive, costly hospitalizations and embrace community-based services.

Correlates of rehospitalisation in schizophrenia

OBJECTIVES

Schizophrenia typically has a fluctuating course; rehospitalisation is common. We studied associations between discharge variables and subsequent two-year rehospitalisation rates.

METHOD

Using a New Zealand national database, we obtained rehospitalisation rates and bed days for 451 patients with schizophrenia discharged from three inpatient facilities between July 2009 and December 2011.

RESULTS

Nearly half (44%) of the cohort were rehospitalised within two years. Patients over 50 were less likely [hazard ratio (HR) = 0.58, 95% confidence interval (CI) = 0.35-0.97, p = 0.04] to be rehospitalised. Patients whose index admission included compulsory treatment appeared more likely (HR = 1.3, 95% CI = 0.98-1.71, p = 0.06) to be rehospitalised and spent longer rehospitalised (p = 0.05). Those whose index admission was three weeks or longer were less likely (HR = 0.53, 95% CI = 0.39-0.72, p = 0.001) to be rehospitalised. Antipsychotic types, routes and dosages were not significantly associated with rehospitalisation rate, except for those prescribed clozapine (HR = 0.61, 95% CI = 0.41-0.89, p = 0.01).

CONCLUSIONS

Rehospitalisation rates were higher for patients under the age of 50 and those with shorter index admissions; the latter finding requires further study. Other than the beneficial effect of clozapine, the type and route of prescribed antipsychotics did not significantly affect rehospitalisation rates.

Socio-environmental factors associated with diabetes mellitus among patients hospitalized with schizophrenia in Japan

OBJECTIVE

This study aimed to examine epidemiologically socio-environmental factors associated with diabetes mellitus among patients hospitalized with schizophrenia in Japan.

METHODS

This was a cross-sectional study from a single psychiatric hospital. Study patients were adults aged ≥20 years who were hospitalized with schizophrenia one or more times between January 2013 and December 2014. From electronic medical records or health insurance claims, we extracted schizophrenia patients with an F2 code according to ICD-10, and assessed the association of various factors with diabetes mellitus among these patients in a multivariable analysis.

RESULTS

During the 2-year period, there were 1899 patients hospitalized with a psychiatric disorder one or more times. Of them, a total of 770 adults with schizophrenia (285 men and 485 women) were eligible for our analysis. The standardized prevalence ratio of diabetes mellitus was 2.0 [95 % confidence interval (CI) 1.6-2.5] among men and 3.0 (95 % CI 2.5-3.6) among women in this hospital. There were no socio-environmental factors associated with diabetes mellitus among men. Among women, factors such as a 730-day hospitalization [adjusted odds ratio (OR) 3.82: 95 % confidence interval (CI) 1.52-9.64], and a medical protection/compulsory/discrimination hospitalization (adjusted OR 0.60, 95 % CI 0.36-0.99) were associated with diabetes mellitus. Compared with women living alone, those who were unmarried and lived together with someone had a significantly lower adjusted OR (0.41, 95 % CI 0.21-0.81).

CONCLUSIONS

Socio-environmental factors such as length of hospitalization, type of hospitalization, and marital status and living arrangement were associated with diabetes mellitus among hospitalized women with schizophrenia.

Outcomes of inpatients with severe mental illness: a naturalistic descriptive study

Objective:

To describe and evaluate the response and predictors of remission during inpatient treatment in a psychiatric unit in a general hospital based on symptomatology, functionality, and quality of life (QoL).

Methods:

Patients were admitted to a psychiatric unit in a tertiary general hospital in Brazil from June 2011 to December 2013 and included in the study if they met two of the severe mental illness (SMI) criteria: Global Assessment of Functioning (GAF) ≤ 50 and duration of service contact ≥ 2 years. Patients were assessed by the Brief Psychiatric Rating Scale (BPRS), the Clinical Global Impression (CGI) Severity Scale , GAF, the World Health Organization Quality of Life Instrument – Abbreviated version (WHOQOL-Bref), and specific diagnostic scales.

Results:

A total of 239 patients were included. BPRS mean scores were 25.54±11.37 at admission and 10.96±8.11 at discharge (p < 0.001). Patients with manic episodes (odds ratio: 4.03; 95% confidence interval: 1.14-14.30; p = 0.03) were more likely to achieve remission (CGI ≤ 2 at discharge) than those with depressive episodes. Mean length of stay was 28.95±19.86 days. All QoL domains improved significantly in the whole sample.

Conclusion:

SMI patients had marked improvements in symptomatic and functional measures during psychiatric hospitalization. Patients with manic episodes had higher chance of remission according to the CGI.

A 10-year retrospective analysis of hospital admissions and length of stay among a cohort of homeless adults in Vancouver, Canada

Background

Homelessness is associated with a very high prevalence of substance use and mental disorders and elevated levels of acute health service use. Among the homeless, little is known regarding the relative impact of specific mental disorders on healthcare utilization. The aim of the present study was to examine the association between different categories of diagnosed mental disorders with hospital admission and length of stay (LOS) in a cohort of homeless adults in Vancouver, Canada.

Methods

Participants were recruited as part of an experimental trial in which participants met criteria for both homelessness and mental illness. Administrative data were obtained (with separate consent) including comprehensive records of acute hospitalizations during the 10 years prior to recruitment and while participants where experiencing homelessness. Generalized Estimating Equations were used to estimate the associations between outcome variables (acute hospital admissions and LOS) and predictor variables (specific disorders).

Results

Among the eligible sample (n = 433) 80 % were hospitalized, with an average of 6.0 hospital admissions and 71.4 days per person during the 10-year observation period. Of a combined total 2601 admissions to hospital, 1982 were psychiatric and 619 were non-psychiatric. Significant (p <0.001) independent predictors of hospital admission and LOS included a diagnosis of schizophrenia or bipolar disorder, as well as high (≥32 service contacts) non-psychiatric medical service use in the community.

Conclusions

Our results demonstrate that specific mental disorders alongside high non-psychiatric service use were significantly associated with hospital admission and LOS. These findings suggest the importance of screening within the homeless population to identify individuals who may be at risk for acute illness and the implementation of services to promote recovery and prevent repeated hospitalization.

Trial Registration

ISRCTN57595077; ISRCTN66721740

Association between length of hospital stay and implementation of discharge planning in acute psychiatric inpatients in Japan

Background

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

Methods

This retrospective cross-sectional study included 449 patients discharged from the ‘psychiatric emergency ward’ of 66 hospitals during a two-week period from March 7 to 20, 2011. The assigned nurse or nursing assistant for each patient provided information on the implementation of discharge planning in the hospital stay.

Results

Approximately one quarter of the 449 patients (n = 122) received no support for coordination with post-discharge community care resources. The 122 patients who had received no support for community care coordination had a significantly lower mean age at admission, a shorter length of stay, and a higher rate of either no follow-up or unidentified post-discharge outpatient service than the other 327 patients. Multilevel linear regression analysis demonstrated a significantly greater length of stay among patients who were older, those who had a primary diagnosis of schizophrenia, those who were admitted compulsorily, those who received hospital outpatient services, and those who received community care coordination support from the assigned nurse or nursing assistant. The implementation of support for community care coordination did not indicate a significant association with these factors, which have been related to an increased risk of psychiatric readmission.

Conclusion

Patients to whom the assigned nurse or nursing assistant provided support on community care coordination experienced a significantly greater length of hospital stay. The implementation of support for community care coordination did not indicate a significant association with these factors, which have been related to an increased risk of psychiatric readmission. The mental health policy should increase focus on discharge planning in the acute psychiatric setting to enhance a link between psychiatric inpatient care and post-discharge community care resources.