ArticleBMC psychiatry2021
A sequence analysis of hospitalization patterns and service utilization in patients with major psychiatric disorders in China.
Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 16 citations in OpenAlex.
- Observational
- Risk stratification for long-term inpatient costs in mental disorders: a dual-track machine learning approach using baseline EHRs and hospitalization trajectories.BMC health services research · 2026Article
- Three years of medication-use sequences in incident bipolar disorder in Sweden reveal divergent patterns in native-born and immigrant populations.Translational psychiatry · 2026Article
- Psychiatric Inpatient Length of Stay and Needs: A Cluster Analysis using Machine Learning Algorithms.The Psychiatric quarterly · 2025Article
- Impact of per diem payment on medical expenditure, service efficiency, and quality of care for patients with mental disorders: an interrupted time series study.BMC health services research · 2025Article
- Identification of Patterns of Hospitalizations in Child and Adolescent Mental Health Service.The journal of behavioral health services & research · 2025Article
- Psychiatric hospitalizations in the Unified Health System: an observational study on hospitalization rates from 2012 to 2023.BMC public health · 2025Observational
- Causal relationship between genetically predicted mental disorders and frailty: a bidirectional and multivariable mendelian randomization study.BMC psychiatry · 2024Article
- Relationship Between Emotional Intelligence, Self-Acceptance, and Positive Coping Styles Among Chinese Psychiatric Nurses in Shandong.Frontiers in psychology · 2022Article
- Frailty among inpatients with Schizophrenia: Status, influencing factors, and their correlation with quality of life.Frontiers in psychiatry · 2022Article
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Authors and funding
9 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding the long-term inpatient service cost and utilization of psychiatric patients may provide insight into service demand for these patients and guide the design of targeted mental health programs. This study assesses 3-year hospitalization patterns and quantifies service utilization intensity of psychiatric patients in Beijing, China.
methodsWe identified patients admitted for one of three major psychiatric disorders (schizophrenia, bipolar and depressive disorders) between January 1 and December 31, 2013 in Beijing, China. Inpatient admissions during the following 3 years were extracted and analyzed using sequence analysis. Clinical characteristics, psychiatric and non-psychiatric service use of included patients were analyzed.
resultsThe study included 3443 patients (7657 hospitalizations). The patient hospitalization sequences were grouped into 4 clusters: short stay (N = 2741 (79.61% of patients), who had 126,911 or 26.82% of the hospital days within the sample), repeated long stay (N = 404 (11.73%), 76,915 (16.26%) days), long-term stay (N = 101 (2.93%), 59,909 (12.66%) days) and permanent stay (N = 197 (5.72%), 209,402 (44.26%) days). Length and frequency of hospitalization, as well as readmission rates were significantly different across the 4 clusters. Over the 3-year period, hospitalization days per year decreased for patients in the short stay and repeated long stay clusters. Patients with schizophrenia (1705 (49.52%)) had 78.4% of cumulative psychiatric stays, with 11.14% of them in the permanent stay cluster. Among patients with depression, 23.11% had non-psychiatric hospitalizations, and on average 46.65% of their total inpatient expenses were for non-psychiatric care, the highest among three diagnostic groups.
conclusionHospitalization patterns varied significantly among psychiatric patients and across diagnostic categories. The high psychiatric care service use of the long-term and permanent stay patients underlines the need for evidence-based interventions to reduce cost and improve care quality.
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