Internações e reinternações psiquiátricas em um hospital geral de Porto Alegre: características sociodemográficas, clínicas e do uso da Rede de Atenção Psicossocial

A predictive model for readmission within 1-year post-discharge in patients with schizophrenia

BACKGROUND

Schizophrenia is a pervasive and severe mental disorder characterized by significant disability and high rates of recurrence. The persistently high rates of readmission after discharge present a serious challenge and source of stress in treating this population. Early identification of this risk is critical for implementing targeted interventions. The present study aimed to develop an easy-to-use predictive instrument for identifying the risk of readmission within 1-year post-discharge among schizophrenia patients in China.

METHODS

A prediction model, based on static factors, was developed using data from 247 schizophrenia inpatients admitted to the Mental Health Center in Wuxi, China, from July 1 to December 31, 2020. For internal validation, an additional 106 patients were included. Multivariate Cox regression was applied to identify independent predictors and to create a nomogram for predicting the likelihood of readmission within 1-year post-discharge. The model's performance in terms of discrimination and calibration was evaluated using bootstrapping with 1000 resamples.

RESULTS

Multivariate cox regression demonstrated that involuntary admission (adjusted hazard ratio [aHR] 4.35, 95% confidence interval [CI] 2.13-8.86), repeat admissions (aHR 3.49, 95% CI 2.08-5.85), the prescription of antipsychotic polypharmacy (aHR 2.16, 95% CI 1.34-3.48), and a course of disease ≥ 20 years (aHR 1.80, 95% CI 1.04-3.12) were independent predictors for the readmission of schizophrenia patients within 1-year post-discharge. The area under the curve (AUC) and concordance index (C-index) of the nomogram constructed from these four factors were 0.820 and 0.780 in the training set, and 0.846 and 0.796 for the validation set, respectively. Furthermore, the calibration curves of the nomogram for both the training and validation sets closely approximated the ideal diagonal line. Additionally, decision curve analyses (DCAs) demonstrated a significantly better net benefit with this model.

CONCLUSIONS

A nomogram, developed using pre-discharge static factors, was designed to predict the likelihood of readmission within 1-year post-discharge for patients with schizophrenia. This tool may offer clinicians an accurate and effective way for the timely prediction and early management of psychiatric readmissions.

Early and Frequent Psychiatric Readmissions in a Brazilian Cohort of Hospitalized Patients Between 2001 and 2013

OBJECTIVE

To characterize the profile of patients who were readmitted for mental and behavioral disorders, in the Brazilian Unified Health System, from 2001 to 2014, and the factors associated with early and frequent readmission.

METHOD

A retrospective, non-concurrent cohort study of patients admitted with a primary diagnosis of mental or behavioral disorders, from 2001 to 2014. This study selected demographic variables and clinical variables, as well as variables related to the characteristics of the hospitals. Poisson Regression methods with a robust variance estimator were used to estimate the incidence rate ratio (IRR) for each of the outcomes.

RESULTS

Early readmission occurred for 6.8% of the patients and frequent readmission for 8.3%. Characteristics such as being male, younger, with a diagnosis of a bipolar disorder, and admitted to a specialized hospital show a higher IRR for early readmission. The occurrence of early readmission was the most heavily associated characteristic with an increased rate of early readmission, and the magnitude of this increase depends on the patient's age.

CONCLUSION

Early and frequent readmissions are linked to patients' demographics, clinical information and health system's organization. Early readmission should be a priority in treatment planning to prevent frequent readmissions due to its strong association.

Transition of Care for Individuals with Mental Disorders in Brazil: A Contextual Analysis

OBJECTIVE

To describe the contexts of care transition for individuals with mental disorders in the Brazilian setting.

METHODS

A contextual analysis was conducted through a scoping review. The search for studies was conducted in databases and thesis and dissertation portals, and the analysis was based on immediate, specific, general, and meta-contexts.

RESULTS

The sample, consisting of eight studies, indicated that the following factors are present in the contexts where care transition occurs: Peculiarities of care transition for individuals with mental disorders; Perspectives that can strengthen or weaken this transition; Approaches proposed in the past for the development of care transition; and Elements related to Brazilian legislation.

FINAL CONSIDERATIONS

It is observed that the transition of care for individuals with mental disorders in Brazil takes place in various contexts of care levels. These variations present significant potentials and barriers in the care scenarios.

The covid-19 pandemic and hospital morbidity due to mental and behavioral disorders in Brazil: an interrupted time series analysis, from January 2008 to July 2021

OBJECTIVE

to analyze records of hospitalizations due to mental and behavioral disorders before and after the beginning of the covid-19 pandemic in Brazil, from January 2008 to July 2021.

METHODS

this was a descriptive ecological interrupted time series study, using secondary data retrieved from the Brazilian National Health System Hospital Information System; a time series analysis of hospitalizations was conducted based on a population-weighted Poisson regression model; relative risk (RR) and respective 95% confidence intervals (95%CI) were calculated.

RESULTS

we identified 6,329,088 hospitalizations due to mental and behavioral disorders; hospitalization rates showed an 8% decrease (RR = 0.92; 95%CI 0.91;0.92) after the start of the pandemic, compared to the pre-pandemic period.

CONCLUSION

the pandemic changed the trend of hospitalizations due to mental and behavioral disorders in Brazil; the drop observed in the period is evidence that the pandemic affected the mental health care network.

Exploring risk factors for re-hospitalization in a psychiatric inpatient setting: a retrospective naturalistic study

BACKGROUND

The reduction of multiple psychiatric hospitalizations is an important clinical challenge in mental health care. In fact, psychiatric re-hospitalization negatively affects the quality of life and the life expectancy of patients with psychiatric disorders. For these reasons, identifying predictors of re-hospitalization is important for better managing psychiatric patients. The first purpose of the present study was to examine the readmission rate in a large sample of inpatients with a psychiatric disorder. Second, we investigated the role of several demographical and clinical features impacting re-hospitalization.  METHOD: This retrospective study enrolled 1001 adult inpatients (510 men and 491 women) consecutively admitted to the University Psychiatric Clinic, Sant'Andrea Hospital, Sapienza University of Rome between January 2018 and January 2022. To identify risk factors for psychiatric re-hospitalization, we divided the sample into 3 subgroups: the Zero-Re group which had no readmission after the index hospitalization, the One-Re group with patients re-admitted only once, and the Two-Re with at least two re-admissions.  RESULTS: The groups differed according to previous hospitalizations, a history of suicide attempts, age at onset, and length of stay. Furthermore, the results of the regression model demonstrated that the Two-Re group was more likely to have a history of suicide attempts and previous hospitalizations.

DISCUSSION

These results indicate the importance of assessing risk factors in psychiatric hospitalized patients and implementing ad hoc prevention strategies for reducing subsequent re-hospitalizations.

Searching for factors associated with the "Revolving Door phenomenon" in the psychiatric inpatient unit: A 5-year retrospective cohort study

The revolving door (RD) phenomenon refers to subjects who undergo frequent rehospitalizations in psychiatric units. The main aim of this study was to analyze clinical factors associated with RD in acute inpatient psychiatric ward. In a 5-year cohort study, subjects hospitalized three or more times in 12 months (revolving door subjects-RDS) were identified. A total of 1,324 subjects were hospitalized. RDS represented 6.3% (n = 84) of the entire sample with a total of 337 RD hospitalizations (revolving door hospitalizations-RDH) (16.7% of all admissions). RDS were younger, unmarried, with comorbid substance related disorders, with mood or psychotic disorders and affected by comorbid medical conditions. After controlling for age, sex and marital status, the most strongly associated variable with RDH was the comorbidity between mood and substance use disorders. Other associated factors were the presence of a comorbid medical condition and a longer length of stay. The commitment to community residential facilities and the treatment with a first generation long-acting antipsychotic were also associated with RDH. On the contrary, admissions to the psychiatric unit for manic/hypomanic episode or for self-directed harmful behavior were inversely associated with RDH. Attention should be given to these clinical variables in order to reduce RD.

Psychiatric hospitalizations by the Unified Health System in Brazil between 2000 and 2014

OBJECTIVE

To characterize the profile of patients hospitalized for mental and behavioral disorders by the Unified Health System (SUS) in Brazil between 2000 and 2014, and to verify how aspects of the new mental health policy influenced the rate of hospitalized patients in that period.

METHODS

Non-concurrent prospective cohort study using secondary data from inpatients with a primary diagnosis of mental and behavioral disorders between 01/01/2000 and 12/31/2014. Sociodemographic, clinical, and hospital characteristics variables were selected. Overall rates of hospitalized patients were calculated according to reason for admission, type of hospital, legal nature, and number of admissions per year for each patient. The association between rates of hospitalized patients, number of psychiatric beds per year, and number of Psychosocial Care Centers per year were tested.

RESULTS

We selected a total of 1,549,298 patients, whose most frequent diagnoses on first admission were psychoactive substance use disorders, followed by schizophrenia and mood disorders. The median of hospitalizations per patient was 1.9 and the length of stay per patient was 29 days. The overall rate of hospitalized patients was reduced by almost half in the period. The number of beds per year was positively associated with the rates of hospitalized patients; the number of CAPS per year was negatively associated with some rates of hospitalized patients.

CONCLUSION

Even in the face of adversity, the National Mental Health Policy has advanced in its goal of progressively reducing hospital beds and increasing the supply of substitute services such that both strategies were associated with the reduced inpatient rates. But the changes were felt with greater intensity in the first years of the policy's implementation, becoming less pronounced in recent years.

Living conditions of persons with mental and behavioral disorders in a psychiatric hospital, São Paulo, Brazil

The objective of this study was to identify the conditions of life of patients with mental and behavioral disorders admitted to a specialized hospital in an inner city in the state of São Paulo, Brazil, and their possible relationship with inequities and social exclusion. The information about the conditions of life was gathered through medical records and structured interviews with the patients. The data collected were compared with the recent literature on the subject. We conclude that the conditions of health, life and social vulnerability are associated with changes in family and social relationships, stigma, discrimination and prejudice, and barriers to the exercise of citizenship for these patients. Findings confirm the need for equity in this group's access to the exercise of human rights.

Factors associated with 30-days and 180-days psychiatric readmissions: A snapshot of a metropolitan area

Psychiatric re-hospitalization rate is a widely used quality indicator within mental health care. This study aims to investigate which variables are implied in determining readmissions over two intervals after the index event, 30 days and 6 months. The study sample included 798 inpatients, it was divided into two groups: not readmitted patients (NRP) and readmitted patients (RP), which has been further split into: Readmitted within 30 days (RP30dd) and Readmitted during the 150-day period (between 31 and 180 days) after the index discharge (RP150). A multivariate logistic regression with backward selection method was performed in order to find variables independently associated with readmission. The overall incidence of readmissions was 16.04%. Discharge to a Psychiatric Nursing Home was found to be a protective factor for all the groups. In adds, for the overall readmission, compulsory index admission and higher education (this lasts as in RP30dd group) were protective factors; whereas higher length of stay (as for readmission within 31-180 days) and a diagnosis of Personality Disorder were risk factors. The patient-specific factors significantly associated with likelihood of rehospitalization in the final model do identify some high-risk groups toward to whom possibly address prevention strategies.

Perfil de internações psiquiátricas femininas: uma análise crítica

RESUMO Objetivo Analisar o perfil das internações psiquiátricas de mulheres e adolescentes ocorridas nos anos de 2018 e 2019 em um hospital geral. Métodos Realizou-se um estudo quantitativo com delineamento transversal, cujo cenário foi uma unidade de internação psiquiátrica feminina de um hospital geral, em Porto Alegre, no Rio Grande do Sul. A coleta de dados ocorreu por meio dos prontuários eletrônicos de mulheres internadas referentes aos anos de 2018 e 2019. Analisaram-se as variáveis idade, diagnóstico de saúde mental, número de dias de internação, procedência e gestação por meio da estatística descritiva com o software Statistical Package for Social Sciences . Resultados Obteve-se o total de 418 internações; 132 correspondem a adolescentes e 79 a gestantes. A média de idade foi de 28,7 anos. O tempo médio de internação foi de 28,5 dias. Os principais locais de procedência foram os serviços de emergências psiquiátricas. O principal diagnóstico foi a depressão (46,4%) e o transtorno de humor bipolar (23,9%). Conclusão Conhecer o perfil epidemiológico das internações psiquiátricas femininas oportuniza que um tratamento diferencial seja estabelecido, visto que a atenção à saúde mental das mulheres é multifacetada, complexa e interseccional e exige conhecimento científico, assim como a abordagem integrada dos serviços de saúde. Os transtornos mentais acometem também adolescentes e mulheres gestantes, sendo fundamental conhecer as necessidades dessas populações a fim de desenvolver de um cuidado especializado.