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Virtual monitoring of suicide risk in the general hospital and emergency department

Authors :
Jennifer Karno
Laurie J. Falaro
Jennifer A. Cartright
Shelley Hurwitz
Molly O'Reilly
Christine A. Murphy
Escel Stanghellini
Janet M. Gorman
Adam C. Schaffer
Linda Delaporta
David S. Kroll
Colin Murphy
Anna T. Meyer
Stephanie L. DesRoches
Charles Lydon
Sejal B. Shah
Patricia Aylward
Barbara E. Lakatos
Daniel J. Pallin
Deborah F. Mulloy
Elizabeth J. McGrath
David Gitlin
Allison C. Webster
Michael S. Kristan
Monique T. Mitchell
Source :
General hospital psychiatry. 63
Publication Year :
2018

Abstract

Objective To determine whether continuous virtual monitoring, an intervention that facilitates patient observation through video technology, can be used to monitor suicide risk in the general hospital and emergency department (ED). Method This was a retrospective analysis of a protocol in which select patients on suicide precautions in the general hospital and ED received virtual monitoring between June 2017 and March 2018. The primary outcome was the number of adverse events among patients who received virtual monitoring for suicide risk. Secondary outcomes were the percentage of patients for whom virtual monitoring was discontinued for behavioral reasons and the preference for observation type among nurses. Results 39 patients on suicide precautions received virtual monitoring. There were 0 adverse events (95% confidence interval (CI) = 0.000–0.090). Virtual monitoring was discontinued for behavioral reasons in 4/38 cases for which the reason for terminating was recorded (0.105, 95%CI = 0.029–0.248). We were unable to draw conclusions regarding preference for observation type among nurses due to a low response rate to our survey. Conclusions Suicide risk can feasibly be monitored virtually in the general hospital or ED when their providers carefully select patients for low impulsivity risk.

Details

ISSN :
18737714
Volume :
63
Database :
OpenAIRE
Journal :
General hospital psychiatry
Accession number :
edsair.doi.dedup.....ee3e697695c400c5c2050c6178f5c83d