How to use event sequence analysis tools for supporting concurrent engineering

1992 ◽  
Author(s):  
TYRONE JACKSON
2011 ◽  
Vol 39 (suppl) ◽  
pp. W86-W91 ◽  
Author(s):  
M. Thomas-Chollier ◽  
M. Defrance ◽  
A. Medina-Rivera ◽  
O. Sand ◽  
C. Herrmann ◽  
...  

2017 ◽  
Vol 39 ◽  
pp. 86-92 ◽  
Author(s):  
A.A. Verlinde ◽  
E.O. Noorthoorn ◽  
W. Snelleman ◽  
H. van den Berg ◽  
M. Snelleman – van der Plas ◽  
...  

AbstractBackgroundIn the Netherlands, seclusion is historically the measure of first choice in dealing with aggressive incidents. In 2010, the Mediant Mental Health Trust in Eastern Netherlands introduced a policy prioritising the use of enforced medication to manage aggressive incidents over seclusion. The main goal of the study was to investigate whether prioritising enforced medication over seclusion leads to a change of aggressive incidents and coercive measures.MethodsThe study was carried out with data from 2764 patients admitted between 2007 and 2013 to the hospital locations of the Mediant Mental Health Trust in Eastern Netherlands, with a catchment area of 500,000 inhabitants. Seclusion, restraint and enforced medications as well as other coercive measures were gathered systematically. Aggressive incidents were assessed with the SOAS-R. An event sequence analysis was preformed, to assess the whether seclusion, restraint or enforced medication were used or not before or after aggressive incidents.ResultsEnforced medication use went up by 363% from a very low baseline. There was a marked reduction of overall coercive measures by 44%. Seclusion hours went down by 62%. Aggression against staff or patients was reduced by 40%.ConclusionsWhen dealing with aggression, prioritising medication significantly reduces other coercive measures and aggression against staff, while within principles of subsidiarity, proportionality and expediency.


2004 ◽  
Vol 32 (Web Server) ◽  
pp. W20-W25 ◽  
Author(s):  
S. McGinnis ◽  
T. L. Madden

Author(s):  
Brendan Halpin

The SADI package provides tools for sequence analysis, which focuses on the similarity and dissimilarity between categorical time series such as life-course trajectories. SADI‘s main components are tools to calculate intersequence distances using several different algorithms, including the optimal matching algorithm, but it also includes utilities to graph, summarize, and manage sequence data. It provides similar functionality to the R package TraMineR and the Stata package SQ but is substantially faster than the latter.


2001 ◽  
Vol 17 (3) ◽  
pp. 158-164 ◽  
Author(s):  
Andrew Fortna ◽  
Kathleen Gardiner

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