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Pathways through care of severely mentally ill individuals experiencing multiple public crisis events: a qualitative description

Overview of attention for article published in BMC Psychiatry, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 news outlet
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1 X user
facebook
1 Facebook page

Citations

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3 Dimensions

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69 Mendeley
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Title
Pathways through care of severely mentally ill individuals experiencing multiple public crisis events: a qualitative description
Published in
BMC Psychiatry, April 2016
DOI 10.1186/s12888-016-0787-8
Pubmed ID
Authors

Mariëtte J. Hensen, Liselotte D. de Mooij, Jan Theunissen, Jack Dekker, Michael Willemsen, Jeroen Zoeteman, Jaap Peen, Matty A. S. de Wit

Abstract

Patients experiencing severe mental illnesses (SMI) need continuing support and remain vulnerable in many domains. Crisis interventions and compulsory admissions are common, causing a huge burden on police, health workers, the community and patients. The aim of this retrospective case-file study is to determine profiles of SMI-patients and their pathways through care among those experiencing multiple public crisis events. Data from a larger study of 323 SMI-patients in Amsterdam were used. These data were linked to data of the public mental health care (PMHC) in order to identify persons that experienced crisis interventions (CI's) between January 2004 and November 2012. The cut-off point for inclusion in the study population was set on three CI's, resulting in a group of 47 SMI-patients. PMHC and mental health care (MHC) data were linked in order to identify profiles in patterns of care. Qualitative content analysis was used to gather and analyze chronological timelines. Three profiles were identified: SMI-patients with CI's during continuous MHC, SMI-patients with CI's after discharge and SMI-patients with CI's during unstable MHC. For each profile events prior to, during and after a CI were identified. PMHC and MHC can possibly identify cases with a high risk of CI's and predict these events based on the results of this study. CI's seem inevitable for a group of SMI-patients in care but they do not only require acute psychiatric care. The collaboration between MHC, PMHC and police could be further developed in a quick and effective triage in order to tackle the complexity of problems of the SMI-patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 20%
Researcher 11 16%
Student > Bachelor 9 13%
Student > Ph. D. Student 9 13%
Student > Doctoral Student 6 9%
Other 8 12%
Unknown 12 17%
Readers by discipline Count As %
Psychology 14 20%
Medicine and Dentistry 13 19%
Nursing and Health Professions 11 16%
Social Sciences 7 10%
Linguistics 1 1%
Other 4 6%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 April 2016.
All research outputs
#3,074,159
of 22,858,915 outputs
Outputs from BMC Psychiatry
#1,117
of 4,698 outputs
Outputs of similar age
#51,735
of 300,229 outputs
Outputs of similar age from BMC Psychiatry
#27
of 111 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 76% 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 300,229 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 82% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.