ArticleShanghai archives of psychiatry2014
Retrospective assessment of factors associated with readmission in a large psychiatric hospital in Guangzhou, China.
Article in Shanghai archives of psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Brief Report: A Randomized Control Trial Assessing the Influence of a Telephone-based Intervention on Readmissions for Patients with Severe Mental Illness in a Developing Country.Community mental health journal · 2018Trial
- A predictive model for readmission within 1-year post-discharge in patients with schizophrenia.BMC psychiatry · 2024Article
- Early and Frequent Psychiatric Readmissions in a Brazilian Cohort of Hospitalized Patients Between 2001 and 2013.Administration and policy in mental health · 2024Article
- Analysis of inpatient cost burden and influencing factors of seniors' patients with mental illness in Dalian, China.BMC geriatrics · 2023Article
- Factors associated with patient readmission to a specialised psychiatric hospital in the Eastern Cape.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2022Article
- A sequence analysis of hospitalization patterns and service utilization in patients with major psychiatric disorders in China.BMC psychiatry · 2021Article
- Factors associated with 30-day and 1-year readmission among psychiatric inpatients in Beijing China: a retrospective, medical record-based analysis.BMC psychiatry · 2020Article
- Impact of length of stay for first psychiatric admissions on the ratio of readmissions in subsequent years in a large Brazilian catchment area.Social psychiatry and psychiatric epidemiology · 2016Article
- Predictors of psychiatric rehospitalization among elderly patients.F1000Research · 2015Article
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Authors and funding
6 authors.
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Abstract
backgroundMost psychiatric inpatients in China are involuntarily admitted by their families, resulting in relatively long admissions and relatively low readmission rates. However, this pattern may change after implementation of China's new national mental health law (promulgated in 2013), which restricts involuntary psychiatric admissions to the small proportion of mentally ill individuals who are a danger to self or others.
aimAssess the factors associated with readmission rates of psychiatric inpatients in Guangzhou, China.
methodsA retrospective analysis of data from the Guangzhou Psychiatric Hospital, one of the largest psychiatric hospitals in China, used Cox regression models to evaluate the relationship between age, gender, diagnosis, marital status, employment status, relationship with the primary caregiver, type of medical insurance, length of stay of the index admission, and the number of previous admissions to estimate the risk of readmission over the year following discharge. Multivariate regression is used to assess factors associated with the total time of readmission during the year of follow-up.
resultsAmong 3455 patients admitted from 1 January 2011 to 31 December 2012 who had a mean (sd) length of stay of 65.7 (66.3) days, 476 (13.8%) were readmitted one or more times within one year of discharge. After considering all potential predictors of readmission in a multivariate survival analysis, the number of previous hospitalizations prior to the index admission was the only statistically significant predictor of readmission. The only factor that was significantly related to the total time of readmission was the duration of the index admission.
conclusionShorter length of stay was not associated with increased readmission rates in patients admitted to a large public psychiatric hospital in southern China. This suggests that the expected decrease in the length of psychiatric inpatient admissions that is likely to occur when, based on China's new regulations, most patients are admitted voluntarily may not lead to increased rates of readmission. Prospective studies with a more comprehensive set of outcome measures (including patient functioning, medication adherence, and family burden) are needed to monitor the effect of the law on patients and on the distribution of mental health services.
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