Preparedness to respond to elder abuse: a comparison of law enforcement and adult protective service workers

2014 ◽  
Vol 38 (1) ◽  
pp. 42-57 ◽  
Author(s):  
Susannah Tapp ◽  
Brian K. Payne ◽  
Sheryl Strasser
Keyword(s):  
Law Enforcement ◽  
Elder Abuse ◽  
Service Workers ◽  
Protective Service

Drinking and driving: training the "prevention multipliers"

2010 ◽  
pp. 200-210
Author(s):  
Sara Rolando ◽  
Franca Beccaria ◽  
Antonella Ermacora ◽  
Laura Marinaro
Keyword(s):  
Law Enforcement ◽  
Law Enforcement Officers ◽  
Drinking And Driving ◽  
Road Accidents ◽  
School Teachers ◽  
Service Workers ◽  
Control Center ◽  
Teaching Tools ◽  
Training Courses ◽  
Young Learner

In the period 2007-2009 the Ministry of Health and the CCM (the Desease Control Center), in accordance with the Piemonte Region and the ASL CN2 Alba-Bra, have realized 88 training courses in 11 regions involving 2427 "multipliers of prevention", including Health Service workers, law enforcement officers, driving school teachers, Motor Registry and Traffic Authority officers, teachers, instructors (provisional licences). The project provided the participants with methodological and teaching tools for the activation of prevention actions of road accidents caused by the consumption of alcohol, pharmaceuticals and illegal drugs, targeted at young learner drivers, new licence-holders, and high-risk drivers.

scholarly journals USING DATA SCIENCE TO GENERATE PSYCHOSOCIAL PROFILES OF FINANCIAL EXPLOITATION IN SENIORS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S478-S478
Author(s):  
Cassandra J Enzler ◽  
Robert Suchting ◽  
Charles Green ◽  
Jason Burnett
Keyword(s):  
Data Science ◽  
Elder Abuse ◽  
Public Health Problem ◽  
Financial Loss ◽  
Protective Services ◽  
Protective Service ◽  
Financial Exploitation ◽  
Significant Public Health ◽  
Using Data ◽  
Psychosocial Profiles

Abstract Financial exploitation (FE) in older adults is a significant public health problem linked to outcomes including depression, financial ruin and early mortality. This study applied exploratory data science techniques to a multi-year statewide protective services dataset of over 8,000 elder abuse cases. The goal was to derive data-driven psychosocial profiles of abuse with an emphasis on determining which factors, commonly shared across abuse cases, were most important for determining when elder FE was occurring and whether it was occurring alone or in conjunction with other types of abuse. We found that pronounced psychological distress (i.e. verbalizing suicide, homicide, self-harm) was most important for indicating when abuse had occurred and predicted non-FE related abuse. Drug paraphernalia in the home and perpetrator drug/alcohol use were important predictors of FE-related abuse. When differentiating pure FE from hybrid FE, factors indicative of long-term FE occurrence and substantial financial loss were most important (i.e. facing foreclosure, lack of food, medications, and utilities). The findings parallel some existing work characterizing pure and hybrid FE, but also highlight new profile factors that may help determine when FE is occurring and when it is less likely. Applying data science approaches to other large protective service datasets and national datasets such as the National Adult Maltreatment Registry could help improve characterization of abuse types such as pure and hybrid FE resulting in better detection, response and prevention.

The Key Elements of Elder Neglect: A Survey of Adult Protective Service Workers

2006 ◽  
Vol 17 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Carmel Bitondo Dyer ◽  
Christine Toronjo ◽  
Michelle Cunningham ◽  
Nicolo A. Festa ◽  
Valory N. Pavlik ◽  
...  
Keyword(s):  
Service Workers ◽  
Protective Service ◽  
Elder Neglect
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