ArticleJournal of epidemiology2019
Psychiatric Admissions and Length of Stay During Fiscal Years 2014 and 2015 in Japan: A Retrospective Cohort Study Using a Nationwide Claims Database.
Article in Journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Factors associated with treatment failure after discharge in inpatients with schizophrenia spectrum disorders: A retrospective observational study.PCN reports : psychiatry and clinical neurosciences · 2025Article
- Associations between readmission and patient-reported measures in acute psychiatric inpatients: a multicenter prospective longitudinal study.Social psychiatry and psychiatric epidemiology · 2025Article
- The effectiveness of the mental health social worker-led multiprofessional program in preventing long-term hospitalization and readmission in acute psychiatric inpatients in Japan: A retrospective analysis.PCN reports : psychiatry and clinical neurosciences · 2024Article
- Public Stigma Related to People With Mental Health Conditions Among Japanese Company Employees.Journal of clinical medicine research · 2023Article
- The age of death in Japanese patients with type 2 and type 1 diabetes: A descriptive epidemiological study.Journal of diabetes investigation · 2022Article
- Appropriate definition of diabetes using an administrative database: A cross-sectional cohort validation study.Journal of diabetes investigation · 2022Article
- Association between influenza and the incidence rate of new-onset type 1 diabetes in Japan.Journal of diabetes investigation · 2021Article
- Violent Behavior Prior to Admission Is Not a Factor in Further Prolonged Length of Stay: A Retrospective Cohort Study in a Japanese Psychiatric Hospital.Frontiers in psychiatry · 2021Article
- Article
- Number of long-term inpatients in Japanese psychiatric care beds: trend analysis from the patient survey and the 630 survey.BMC psychiatry · 2020Article
- Incidence and seasonality of type 1 diabetes: a population-based 3-year cohort study using the National Database in Japan.BMJ open diabetes research & care · 2020Article
- Regional variance in patterns of prescriptions for chronic kidney disease in Japan.Clinical and experimental nephrology · 2019Article
- Associations between readmission and patient-reported measures in acute psychiatric inpatients: a study protocol for a multicenter prospective longitudinal study (the ePOP-J study).International journal of mental health systems · 2019Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA better understanding of resource use of new psychiatric admissions is important for healthcare providers and policymakers to improve psychiatric care. This study aims to describe the pattern of new psychiatric admissions and length of stay in Japan.
methodsA retrospective cohort study was conducted using data from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). All patients newly admitted to psychiatric wards from April 2014 through March 2016 were included and followed up until discharge to the community.
resultsOur sample included 605,982 admissions from 1,621 hospitals over 2 years. The average monthly number of admissions was 25,024 in fiscal year 2014 and 25,475 in fiscal year 2015. There was a seasonal trend in the number of admissions, with a peak in summer (in July). The discharge rates within 90 days and 360 days were 64.1% and 85.7%, respectively, and varied by type of hospital fee and by hospital. For example, the range of hospital-level discharge rate within 90 days in psychiatric emergency units was 46.0-75.3% in the 1st (lowest) quintile, while it was 83.6-96.0% in the 5th (highest) quintile. The prefecture-level indicators in the NDB and the 630 survey had correlations of >0.70.
conclusionsOur study provides fundamental information on resource use of new psychiatric admissions in Japan. Although using the NDB has substantial benefits in monitoring resource use, the results should be interpreted with some caution owing to methodological issues inherent in the database.
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