Financial exploitation (FE) is one of the most common reports to Adult Protective Services (APS) and the cases are often complex. Consequently, APS caseworkers report FE investigations to be among the most difficult while simultaneously reporting low confidence in productive outcomes for these investigations. This necessitates finding ways to support APS FE investigations. This paper describes the structure, process, and formative findings of a collaboration between forensic accounting examiners and APS workers to investigate complex cases of FE. Among the 77 FE cases completed, forensic examiners reviewed multiple years of financial records which included over 101,000 transactions, totaling over $213,000,000.00 in finances, and identified over $8,000,000 in questionable activity. Scores on the 8-item Client Satisfaction Questionnaire were high indicating high program satisfaction by APS workers, subject matter experts, and forensic examiners. These findings support the feasibility and acceptability of forensic accounting and APS collaborations to investigate complex cases of FE.

Download full-text PDF

Source
http://dx.doi.org/10.1080/08946566.2024.2315084DOI Listing

Publication Analysis

Top Keywords

forensic accounting
12
investigate complex
12
adult protective
8
protective services
8
accounting examiners
8
financial exploitation
8
aps workers
8
complex cases
8
forensic examiners
8
aps
6

Similar Publications

Introduction: Accurate post-mortem interval (PMI) estimation is essential in forensic investigations. Although various methods for PMI determination have been developed, only an approximate estimation is still achievable, and an accurate PMI indication is still challenging. Therefore, in this study, we employed gas chromatography-mass spectrometry (GC-MS)-based metabolomics to assess post-mortem changes in porcine blood samples collected with and without the addition of anticoagulant (EDTA).

View Article and Find Full Text PDF

Background: Psychotherapy for Prolonged Grief Disorder (PGD), a condition characterized by an intense and persistent grief response, has received increased attention over the past decades. Evidence-based approaches to prevent PGD are currently scarce, and not always effective. This paper introduces a protocol for a clinical trial exploring the effectiveness of a Meaning Reconstruction psychotherapy approach (MR) assisted with ayahuasca, a traditional indigenous medicine.

View Article and Find Full Text PDF

Purpose: To establish a national consensus on assessing visual function for fitness to drive in Switzerland.

Methods: The minimum medical requirements for visual function for fitness to drive are regulated by Swiss Federal Law, namely, by the Traffic Licensing Ordinance (TLO). The medical examination techniques relevant in this context and their assessment are not further specified therein, which leads to legal inequality among drivers and uncertainty among examiners.

View Article and Find Full Text PDF

Objective: We conducted a survey to catalog the state of open science in the field of psychology and law. We addressed four major questions: (a) How do psycholegal researchers define open science? (b) How do psycholegal researchers perceive open science? (c) How often do psycholegal researchers use various open science practices? and (d) What barriers, if any, do psycholegal researchers face or expect to face when implementing open science practices?

Hypotheses: We did not make specific hypotheses given the exploratory and descriptive nature of the study.

Method: We surveyed 740 psychology and law researchers (45% faculty, 64% doctoral degree, 66% women, and 85% White/non-Hispanic) about their perceptions of and experiences with open science using a mixed-methods design.

View Article and Find Full Text PDF

Three-dimensional convolutional neural network for leak detection and localization in smart water distribution systems.

Water Res X

December 2024

Professor, Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ 85721, USA.

Smart meters such as advanced metering infrastructure (AMI) can significantly improve identifying realistic sized leaks in water distribution networks (WDNs). However, to date, detection/localization methods for AMI systems are extremely limited. In this study, to examine the benefits of using AMIs for leak detection within distribution network, a three-dimensional (3D) convolutional neural network (CNN) deep learning (DL) model is proposed that can account for temporally and spatially distributed information of pressures.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!