Evidence map›Paper›PMID 20535366›Full record

ArticleClinics (Sao Paulo, Brazil)2010

Predictors of psychiatric readmissions in the short- and long-term: a population-based study in Taiwan.

Chuan-Hsiung Lin, Wen-Ling Chen, Chih-Ming Lin, Ming-Der Lee, Ming-Chung Ko, Chung-Yi Li

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Chuan-Hsiung LinDepartment of Health Care Administration, Central Taiwan University of Science and Technology, Taichung, Taiwan.
Wen-Ling Chen
Chih-Ming Lin
Ming-Der Lee
Ming-Chung Ko
Chung-Yi Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the risks and rates of readmission and their predictors 14 days, one year, and five years after discharge for the psychiatric population in Taiwan.

methodsThis was a prospective study based on claims from 44,237 first-time hospitalized psychiatric patients discharged in 2000, who were followed for up to five years after discharge. The cumulative incidence and incidence density of readmission were calculated for various follow-up periods after discharge, and Cox proportional hazard models were generated to identify the significant predictors for psychiatric readmission.

resultsThe less than 14-day, one-year, and five-year cumulative incidences were estimated at 6.1%, 22.3%, and 37.8%, respectively. The corresponding figures for incidence density were 4.58, 1.04, and 0.69 per 1,000 person-days, respectively. Certain factors were significantly associated with increased risk of readmission irrespective of the length of follow-up, including male gender, length of hospital stay >15 days, economic poverty, a leading discharge diagnosis of schizophrenia/affective disorders, and residence in less-urbanized regions. Compared to children/adolescents, young adults (20-39 years) were significantly associated with increased risks of <one-year and <five-year readmissions, but not <14-day readmission. Additionally, hospital characteristics were significantly associated with increased risk of <14-day and <one-year readmission, but not with risk of <five-year readmission.

conclusionsThis study found that the significant predictors for psychiatric readmission 14 days to five years after discharge were essentially the same except for patient's age and hospital accreditation level. This study also highlighted the importance of socioeconomic factors in the prediction of readmission.

Indexed as

AdultAgedAge FactorsEpidemiologic MethodsFemaleHospitals, PsychiatricHumansMaleMiddle AgedPatient DischargePatient ReadmissionSchizophreniaSocioeconomic FactorsTaiwanTime FactorsYoung AdultAffective disorderHealth services researchReadmissionSchizophreniaSocial factor

Identifiers

PMID20535366
PMCPMC2882542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.