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

Leveraging deep neural network and language models for predicting long-term hospitalization risk in schizophrenia

Early warning of long-term hospitalization in schizophrenia (SCZ) patients at the time of admission is crucial for effective resource allocation and individual treatment planning. In this study, we developed a deep learning model that integrates demographic, behavioral, and blood test data from admission to forecast extended hospital stays using a retrospective cohort. By utilizing language models, our developed algorithm efficiently extracts 95% of the unstructured electronic health records data needed for this work, while ensuring data privacy and low error rate. This paradigm has also been demonstrated to have significant advantages in reducing potential discrimination and erroneous dependencies. By utilizing multimodal features, our deep learning model achieved a classification accuracy of 0.81 and an AUC of 0.9. Key risk factors identified included advanced age, longer disease duration, and blood markers such as elevated neutrophil-to-lymphocyte ratio, lower lymphocyte percentage, and reduced albumin levels, validated through comprehensive interpretability analyses and ablation studies. The inclusion of multimodal data significantly improved prediction performance, with demographic variables alone achieving an accuracy of 0.73, which increased to 0.81 with the addition of behavioral and blood test data. Our approach outperformed traditional machine learning methods, which were less effective in predicting long-term stays. This study demonstrates the potential of integrating diverse data types for enhanced predictive accuracy in mental health care, providing a robust framework for early intervention and personalized treatment in SCZ management.

Challenges in the Repatriation Processes of a Foreign Citizen With Schizophrenia: A Case Report From Tanzania

Background: Schizophrenia is a chronic mental health disorder characterized by an array of symptoms, leading to impairment of functioning. Many patients with schizophrenia tend to have long-stay hospitalizations due to several factors, one of them being the repatriation process. Case Presentation: I report the case of a 29-year-old male foreign citizen who presented with auditory hallucinations, paranoid delusions, and aggressiveness. The patient had a history of multiple admissions due to poor drug adherence. After being admitted to the psychiatry ward, the patient was improved and ready for discharge after 4 weeks but struggled to remember his relatives' phone numbers. Due to financial constraints and poor support, the repatriation process was delayed for 160 days. Conclusion: The present case highlights the challenges in managing schizophrenia abroad, urging international protocols to streamline the repatriation process and address financial, logistical, and social barriers for improved outcomes.

Factors that influence hospitalization stress in patients with chronic schizophrenia: A cross-sectional study in psychiatric hospitals

WHAT IS KNOWN ON THE SUBJECT?: Patients with chronic schizophrenia become vulnerable to stress when admitted to psychiatric wards, lacking the abilities to independently cope with stress. Therefore, it is crucial to focus on the stress associated with hospitalization. Stress increases when interpersonal functioning is impaired due to schizophrenia symptoms. Social support acts as a protective factor against stress, boosting coping skills and problem-solving abilities.

WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE

Interpersonal relationships, marital status, having cohabited before hospitalization and hospitalization type were associated with hospitalization stress in patients with chronic schizophrenia. Patients with chronic schizophrenia continue aging (mean 55.73 ± 11.14) within closed psychiatric hospitals due to their long-term hospitalizations (mean 14.24 ± 11.37). WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Mental health nurses need to use a standardized nursing assessment including interpersonal relationships, family support system and hospitalization type that may affect hospitalization stress in patients with chronic schizophrenia. Mental health nurses should develop tailored interventions to reduce hospitalization stress for long-stay patients with chronic schizophrenia that consider aging, illness duration, and length of hospital stay, as well as psychiatric symptoms. Mental health nurses need to make efforts to help the families of patients with schizophrenia solidify an important support system by participating in treatment plans and intervention programs, checking on the patients' condition, and spending time with them.

ABSTRACT

INTRODUCTION: Patients with chronic schizophrenia in psychiatric hospitals often experience increased stress due to living in closed spaces and frequently lack the coping skills necessary for independent stress management.

AIM

To explore interpersonal relationships, social support and hospitalization stress, and identify the factors associated with hospitalization stress in patients with chronic schizophrenia in psychiatric hospitals.

METHOD

This cross-sectional study included 135 patients who had been diagnosed with schizophrenia for over 2 years, recruited from two psychiatric hospitals in City B, South Korea through convenience sampling. We conducted descriptive statistics and quantile regression.

RESULTS

Interpersonal relationships, marital status, cohabiting before hospitalization, and voluntary admission were significant factors influencing the hospitalization stress at the 90th percentile.

DISCUSSION

Standardized nursing assessment, active family support, and tailored stress management programs including interpersonal relationships are needed to reduce hospitalization stress in patients with chronic schizophrenia.

IMPLICATIONS FOR PRACTICE

To identify the 90th percentile group for hospitalization stress among patients with chronic schizophrenia, it is essential to consider interpersonal relationships, marital status, pre-hospitalization cohabitation, type of hospitalization, as well as aging and prolonged hospitalization. Mental health nurses should develop and implement family therapy-based interpersonal relationship programs to reduce hospitalization stress in patients with chronic schizophrenia and actively involve families in the process.

The profile of long-stay patients in a psychiatric hospital in KwaZulu-Natal, South Africa

Background

South African psychiatric hospitals' inpatient average length of stay is approximately 220 days. Inpatient care accounts for over 80% of the mental national healthcare budget. However, there is limited research on factors associated with length of stay (LOS) in tertiary psychiatric hospitals.

Aim

To determine the threshold for long-stay and describe the socio-demographic and clinical profile of long-stay patients admitted to a tertiary psychiatric hospital.

Setting

Townhill Hospital: a tertiary psychiatric hospital in Pietermaritzburg, KwaZulu-Natal, South Africa.

Methods

A retrospective review of clinical records of admissions between January 2019 and January 2020 was conducted. Information on LOS, sociodemographic and clinical factors was collected. The interquartile range (IQR) of LOS in days was calculated, with patients above 75th percentile classified as long-stay patients.

Results

In total, 326 records were included. The 75th percentile LOS was 120 days. Eighty-three patients (25.46%) had a stay of 120 days or longer. The median LOS was 73 (IQR 49-120) days. Factors associated with long-stay included being male (p < 0.001), a psychotic disorder diagnosis (p = 0.019), receiving a disability grant (p = 0.050), involuntary admission (p = 0.010) and multiple readmissions (p = 0.010).

Conclusion

Psychotic disorders and associated factors are key contributors to long-stay hospitalisations.

Contribution

This study highlights the burden of inpatient care for psychotic disorders and the need for interventions that optimise care and promote remission. To reduce the economic impact of prolonged hospitalisations, early intervention and enhanced community-based mental healthcare services focused on psychotic disorders are recommended.

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.

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.

Factors Affecting Length of Stay of Patients in a General Psychiatric Hospital in Bahrain: A Retrospective Study

BACKGROUND

 Length of stay (LOS) in a psychiatric facility can be used as a measurement of the quality of healthcare. Prolonged stays impact the quality of life of psychiatric patients as well as have a huge burden on healthcare expenditures.

MATERIALS AND METHODS

A retrospective study targeting 153 patients admitted to a general adult ward in a psychiatric hospital in Bahrain, with the final diagnosis based on ICD-10 criteria. The collected data was analyzed using IBM SPSS Statistics for Windows, Version 26 (IBM Corp., Armonk, NY).

RESULTS

The median LOS was 22 days. LOS among schizophrenia and schizoaffective disorder as well as bipolar affective disorder was significantly longer than other groups. There was no significant difference among groups in terms of gender, age, marital status, social class, and alcohol or substance abuse. The presence of extrapyramidal side effects, history of electroconvulsive therapy (ECT) and the use of restraints during admission were associated with longer LOS. A higher number of previous admissions and number of current medications given during admission in the psychiatric hospital predicted a longer stay in the hospital.

CONCLUSION

Future studies should focus on the effect of better treatment options as well as occupational rehabilitation in ensuring better outcomes for inpatients as well as shorter stays in a psychiatric hospital.

Non-linear relationship between TSH and psychotic symptoms on first episode and drug naïve major depressive disorder patients: a large sample sized cross-sectional study in China

INTRODUCTION

Psychotic depression (PD) is characterized by the co-occurrence of emotional dysfunction and psychotic symptoms such as delusions and hallucinations with poor clinical outcomes. TSH may involve in the development of PD. This study aims to explore relationship between TSH and PD.

METHODS

A total of 1718 outpatients diagnosed as FEDN MDD were recruited in this study. The relationship between PD and TSH was evaluated using multivariable binary logistic regression analysis. To assess the presence of non-linear associations, a two-piecewise linear regression model was employed. Furthermore, interaction and stratified analyses were conducted with respect to sex, education, marital status, comorbid anxiety, and suicide attempt.

RESULTS

Multivariable logistic regression analysis revealed that TSH was positively associated with the risk of PD after adjusting for confounders (OR = 1.26, 95% CI: 1.11 to 1.43; p < 0.05). Smoothing plots showed a nonlinear relationship between TSH and PD, with the inflection point of TSH being 4.94 mIU/L. On the right of the inflection point, for each unit increase in serum TSH level on the right side of the inflection point, the probability of PD increased substantially by 47% (OR = 1.47, 95% CI: 1.25 to 1.73, p < 0.001), while no significant association was observed on the left side of the inflection point (OR = 0.87, 95% CI: 0.67 to 1.14, p = 0.32).

CONCLUSION

Our investigation showed a nonlinear TSH-PD relationship in FEDN MDD patients, thus contributing to effective intervention strategies for psychotic symptoms in depression patients.

Investigating the Effect of Adherence to Antipsychotic Therapy on the Length of Stay and Number of Hospitalizations in Patients with Schizophrenia - A Descriptive Analysis

Background

Optimizing long-term outcomes in schizophrenia treatment requires effective pharmacological interventions. Medication adherence is known to influence clinical outcomes, yet there is a scarcity of studies examining its correlation with factors like Length of Stay (LOS) and re-hospitalization frequency. These outcomes are crucial indicators of how medication adherence affects overall patient well-being.

Purpose

This study aims to describe the effect of medication adherence on the length of stay (LOS) and number of hospitalizations in patients with schizophrenia.

Patients and Methods

A total of 157 subjects from the West Java Psychiatric Hospital were included in this cross-sectional retrospective study. Data, including demographics, comorbidities, duration of illness, antipsychotic adherence, LOS, and the number of hospitalizations, were collected from the patients' medical records. All the data were analyzed using the Chi-Square (χ²) test with a significance level set at p < 0.05.

Results

Our findings showed that 88% of all schizophrenia inpatients were in the nonadherence group. The highest (40.7%) LOS (>30 days) was found in the non-adherence group with discontinued therapy/stopped therapy group, while the highest percentage of patients with less than five hospitalizations was identified in the obedient and regular therapy group (94.4%). In the statistical results, we observed a significant association between therapy adherence (p = 0.043) and therapy regimen (p = 0.014) with gender. Additionally, the distinction between male and female schizophrenia patients demonstrated statistical significance (p = 0.000).

Conclusion

In this study, therapy adherence and therapy regimen were found to have a significant association with gender, as well as differences between the number of male and female schizophrenia patients that were statistically significant. While other variables may exhibit clinical associations, their statistical significance has not been fully depicted. The results of this study could be preliminary study for subsequent observational studies.

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.

Association between thyroid hormones and comorbid psychotic symptoms in patients with first-episode and drug-naïve major depressive disorder

Thyroid dysfunction is common in major depressive disorder (MDD) patients; however, its relationship with psychotic depression (PD) remains unclear. We aimed to assess thyroid hormones in 1718 first episode drug naïve (FEND) MDD patients and to determine their association with PD. The positive subscale of the Positive and Negative Symptom Scale (PANSS-P), Hamilton Anxiety Rating Scale (HAMA), and Hamilton Depression Rating Scale (HAMD) were used to detect clinical symptoms. The serum levels of free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH), anti-thyroglobulin (TgAb), and thyroid peroxidases antibody (TPOAb) were assessed. The logistic regression model was conducted to determine risk factors for PD, and the Area Under the Curve (AUC) was used to test the performance of this model. 171 (10%) patients were identified as having PD. Serum levels of TSH, TgAb, and TPOAb displayed small-to-moderate associations with PANSS-P. HAMA score, HAMD score, and TSH levels were independently associated with PD. The regression model had excellent power to distinguish PD patients from non-PD patients with an AUC value of 0.93. Our study suggests TSH levels and severity of depression and anxiety symptoms were independent risk factors for PD. Regular thyroid function tests may help early detect PD.

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.

Hospital Length of Stay in Patients with and without Serious and Persistent Mental Illness: Evidence of Racial and Ethnic Differences

Background: Prior studies have documented racial and ethnic differences in mental healthcare utilization, and extensively in outpatient treatment and prescription medication usage for mental health disorders. However, limited studies have investigated racial and ethnic differences in length of inpatient stay (LOS) in patients with and without Serious and Persistent Mental Illness. Understanding racial and ethnic differences in LOS is necessary given that longer stays in hospital are associated with adverse health outcomes, which in turn contribute to health inequities. Objective: To examine racial and ethnic differences in length of stay among patients with and without serious and persistent mental illness (SPMI) and how these differences vary in two age cohorts: patients aged 18 to 64 and patients aged 65+. Methods: This study employed a retrospective cohort design to address the research objective, using the 2018 Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample. After merging the 2018 National Inpatient Sample’s Core and Hospital files, Generalized Linear Model (GLM), adjusting for covariates, was applied to examine associations between race and ethnicity, and length of stay for patients with and without SPMI. Results: Overall, patients from racialized groups were likely to stay longer than White patients regardless of severe mental health status. Of all races and ethnicities examined, Asian patients had the most extended stays in both age cohorts: 8.69 days for patients with SPMI and 5.73 days for patients without SPMI in patients aged 18 to 64 years and 8.89 days for patients with SPMI and 6.05 days for patients without SPMI in the 65+ cohort. For individuals aged 18 to 64, differences in length of stay were significantly pronounced in Asian patients (1.6 days), Black patients (0.27 days), and Native American patients/patients from other races (0.76 days) if they had SPMI. For individuals aged 65 and older, Asian patients (1.09 days) and Native American patients/patients from other races (0.45 days) had longer inpatient stays if they had SPMI. Conclusion: Racial and ethnic differences in inpatient length of stay were most pronounced in Asian patients with and without SPMI. Further studies are needed to understand the mechanism(s) for these differences.