Productivity and deadweight losses due to relapses of schizophrenia in Japan

Built environment and schizophrenia re-hospitalization risk in China: A cohort study

BACKGROUND

Built environment exposure, characterized by ubiquity and changeability, has the potential to be the prospective target of public health policy. However, little research has been conducted to explore its impact on schizophrenia. This study aimed to investigate the association between built environmentand and schizophrenia rehospitalization by simultaneously considering substantial built environmental exposures.

METHODS

We recruited eligible schizophrenia patients from Hefei, Anhui Province, China between 2017 and 2019. The main outcome for this study was the time interval until the first recurrent hospital admission occurred within one year after discharge. For each included subject, we estimated the built environment exposures, including population density, walkability, land use mix, green and blue space, public transportation accessibility and road traffic indicator. Lasso (Least Absolute Shrinkage and Selection Operator) analysis was used to select the key variables. Multivariable Cox regression model was applied to obtain hazard ratio (HR) and its corresponding 95% confidence intervals (CI). Further, we also evaluated the joint effects of built environment characteristics on rehospitalization for schizophrenia by Quantile g-computation model.

RESULTS

A total of 1564 hospitalized schizophrenia patients were enrolled, with 347 patients (22.2%) had a rehospitalization within one-year after discharge. Multivariable Cox regression analysis indicated that the re-hospitalization rate for schizophrenia would be higher in areas with a high population density (HR: 1.10, 95%CI: 1.04-1.16). Nonetheless, compared to the reference (Q1), participants who lived in a neighborhood with the highest walkability and NDVI (Normalized Difference Vegetation Index) (Q4) had a 76% and 47% lower risk of re-hospitalization within one year (HR:0.24, 95%CI: 0.13-0.45; and 0.53, 95%CI:0.32-0.85), respectively. Moreover, quantile-based g-computation analyses revealed that increased walkability and green space significantly eliminated the adverse effects of population density increases on schizophrenia patients, with a HR ratio of 0.61 (95%CI:0.48,0.79) per one quartile change at the same time.

CONCLUSION

Our study provides scientific evidence for the significant role of built environment in schizophrenia rehospitalization, suggesting that optimizing the built environment is required in designing and building a healthy city.

Modeling the Choice Between Risperidone Long-Acting Injectable and Generic Risperidone from the Perspective of a Japanese Hospital

INTRODUCTION

The Japanese government's current policy is to encourage hospitals to discharge hospital patients with schizophrenia earlier and provide them with community care. This study aims to analyze clinical and economic outcomes of different discharge strategies in psychiatric hospitals in Japan.

METHODS

A simulation was conducted to compare patient relapse and hospital revenues for different discharge plans. We constructed a decision tree where each tree consists of a different Markov chain that models hospital revenue for four different discharge plans: discharge of the patient after 1, 2, or 3 months, or 4 months or more. The simulation also included variations in the medical treatment regimen in an outpatient setting as part of the discharge strategy. In particular, we looked at the choice between risperidone long-acting injectable (RLAI) and generic risperidone (RIS GE).

RESULTS

The use of RLAI in an outpatient setting reduced the number of rehospitalizations compared to generic risperidone use under all discharge plans. Different discharge plans were associated with differences in economic outcomes as well. One of the key revenue drivers for the hospital was the continuation of treatment in the outpatient setting after discharge.

CONCLUSION

The use of RLAI in an outpatient setting could help to prevent rehospitalization, thereby contributing to better community care.

FUNDING

The Rapid Service Fee was funded by Janssen KK.