↓ Skip to main content

Overview of post-discharge predictors for psychiatric re-hospitalisations: a systematic review of the literature

Overview of attention for article published in BMC Psychiatry, June 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
29 X users
facebook
1 Facebook page

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
186 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Overview of post-discharge predictors for psychiatric re-hospitalisations: a systematic review of the literature
Published in
BMC Psychiatry, June 2017
DOI 10.1186/s12888-017-1386-z
Pubmed ID
Authors

R. Sfetcu, S. Musat, P. Haaramo, M. Ciutan, G. Scintee, C. Vladescu, K. Wahlbeck, H. Katschnig

Abstract

High levels of hospital readmission (rehospitalisation rates) is widely used as indicator of a poor quality of care. This is sometimes also referred to as recidivism or heavy utilization. Previous studies have examined a number of factors likely to influence readmission, although a systematic review of research on post-discharge factors and readmissions has not been conducted so far. The main objective of this review was to identify frequently reported post-discharge factors and their effects on readmission rates. Studies on the association between post-discharge variables and readmission after an index discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management, OpenGrey and Google Scholar. Relevant articles published between January 1990 and June 2014 were included. A systematic approach was used to extract and organize in categories the information about post-discharge factors associated with readmission rates. Of the 760 articles identified by the initial search, 80 were selected for this review which included a total number of 59 different predictors of psychiatric readmission. Subsequently these were grouped into four categories: 1) individual vulnerability factors, 2) aftercare related factors, 3) community care and service responsiveness, and 4) contextual factors and social support. Individual factors were addressed in 58 papers and were found to be significant in 37 of these, aftercare factors were significant in 30 out of the 45 papers, community care and social support factors were significant in 21 out of 31 papers addressing these while contextual factors and social support were significant in all seven papers which studied them. This review represents a first attempt at providing an overview of post-discharge factors previously studied in association with readmission. Hence, by mapping out the current research in the area, it highlights the gaps in research and it provides guidance future studies in the area.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 185 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 18%
Student > Ph. D. Student 22 12%
Researcher 18 10%
Student > Doctoral Student 15 8%
Student > Postgraduate 13 7%
Other 37 20%
Unknown 48 26%
Readers by discipline Count As %
Medicine and Dentistry 35 19%
Nursing and Health Professions 28 15%
Psychology 24 13%
Social Sciences 14 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 22 12%
Unknown 58 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2017.
All research outputs
#2,099,569
of 25,595,500 outputs
Outputs from BMC Psychiatry
#767
of 5,490 outputs
Outputs of similar age
#39,434
of 329,546 outputs
Outputs of similar age from BMC Psychiatry
#20
of 118 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,490 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,546 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.