Evidence map›Paper›PMID 27986079›Full record

SynthesisBMC psychiatry2016

Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature.

V Donisi, F Tedeschi, K Wahlbeck, P Haaramo, F Amaddeo

Abstract readSystematic Review
In one paragraph

Synthesis in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 4 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Substance Use Disorder Treatment Outcomes: Methodological Overview of Metrics and Criteria.International journal of methods in psychiatric research · 2025
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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

V DonisiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico G.B. Rossi, Piazzale L.A. Scuro 10, 37134, Verona, Italy. valeria.donisi@univr.it.
F TedeschiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico G.B. Rossi, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
K WahlbeckNational Institute for Health and Welfare, Mental Health Unit, Helsinki, Finland.
P HaaramoNational Institute for Health and Welfare, Mental Health Unit, Helsinki, Finland.
F AmaddeoDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico G.B. Rossi, Piazzale L.A. Scuro 10, 37134, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReadmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients.

methodsStudies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. Relevant publications published between January 1990 and June 2014 were included. For each variable, the number of papers that considered it as a predictor of readmission and that found a significant association was recorded, together with the association direction and whether it was found respectively in bivariate and in multivariate analyses.

resultsOf the 734 articles identified in the search, 58 papers were included in this review, mainly from the USA and concerning patients with severe mental disorders. Analysed variables were classified according to the following categories: patients' demographic, social and economic characteristics; patients' clinical characteristics; patients' clinical history; patients' attitude and perception; environmental, social and hospital characteristics; and admission and discharge characteristics. The most consistently significant predictor of readmission was previous hospitalisations. Many socio-demographic variables resulted as influencing readmission, but the results were not always homogeneous. Among other patients' clinical characteristics, diagnosis and measures of functional status were the most often used variables. Among admission characteristics, length of stay was the main factor studied; however, the results were not very consistent. Other relevant aspects resulted associated with readmission, including the presence of social support, but they have been considered only in few papers. Results of quality assessment are also reported in the review. The majority of papers were not representative of the general psychiatric population discharged from an inpatient service. Almost all studies used multivariate analytical methods, i.e., confounders were controlled for, but only around 60% adjusted for previous hospitalisation, the variable most consistently considered associated to readmission in the literature.

conclusionsThe results contribute to increase knowledge on pre-discharge factors that could be considered by researchers as well as by clinicians to predict and prevent readmissions of psychiatric patients. Associations are not always straightforward and interactions between factors have to be considered.

Indexed as

Continuity of Patient CareFemaleHospitalizationHumansInpatientsMaleMental DisordersMultivariate AnalysisPatient DischargePatient ReadmissionPrognosisPsychiatric Department, HospitalRisk FactorsLength of stayPre-discharge factorsPrevious hospitalisationsReadmissionSocio-demographic factorsSystematic review

Identifiers

PMID27986079
PMCPMC5162092

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Registered trials

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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.