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Nguyen CM, Brothers SL, Denburg NL. Editorial: Testamentary capacity and undue influence in older adults. Front Psychol 2024; 15:1430893. [PMID: 38915429 PMCID: PMC11194399 DOI: 10.3389/fpsyg.2024.1430893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 05/31/2024] [Indexed: 06/26/2024] Open
Affiliation(s)
- Christopher M. Nguyen
- Department of Psychiatry and Behavioral Health, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Stacey Lipio Brothers
- Department of Psychiatry and Behavioral Health, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Natalie L. Denburg
- Department of Neurology, The University of Iowa, Iowa City, IA, United States
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Salsi S, Ariano E, Casey J, Loewen M, Engel L. Financial Capability Interventions Used for Specific Diagnoses Related to Functional Impairment: A Scoping Review. Am J Occup Ther 2024; 78:7801205060. [PMID: 38305720 DOI: 10.5014/ajot.2024.050254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
IMPORTANCE Occupational therapists often address financial occupations of clients with acquired functional impairments who experience challenges with financial capability (FC). OBJECTIVE To explore the intervention literature aimed at improving FC in five diagnostic adult populations. DATA SOURCES MEDLINE, CINAHL, PsycInfo, EconLit, and EMBASE; researchers also completed backward and forward citation searching and contacted expert authors. STUDY SELECTION AND DATA COLLECTION Two independent reviewers completed article screening, selection, and extraction using a scoping review approach; a priori inclusion criteria were peer-reviewed articles, written in English, involving adults with one of five diagnostic conditions, describing any intervention to improve FC. FINDINGS Twenty-four articles met the inclusion criteria. Most articles were aimed at substance use or mental health populations (n = 20); fewer focused on brain injury (n = 2), multiple sclerosis (n = 1), or mixed-diagnosis (n = 1) populations. Only 4 were randomized controlled trials (RCTs). Interventions were heterogeneous and complex, including components of skills training (n = 21), individualized budgeting (n = 18), representative payeeship (n = 11), education (n = 10), structured goal setting (n = 7), savings building (n = 5), metacognitive strategies (n = 2), and assistive technology (n = 1). CONCLUSIONS AND RELEVANCE Despite growth in the area, the literature regarding FC intervention is limited, with few RCTs and many populations unrepresented. The literature for a systematic review of FC intervention efficacy for these populations is insufficient, particularly because included studies used varied components, limiting comparison. Further research is imperative to guide evidence-based practice. Plain-Language Summary: This study is an overview of literature about interventions to address the financial occupations of clients with acquired functional impairments. The findings give occupational therapy researchers and clinicians the information they need to begin analyzing, using, and building the evidence to support the use of interventions to improve clients' financial capability and well-being.
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Affiliation(s)
- Sofia Salsi
- Sofia Salsi, MScA OT, OT Reg (MB), is PhD Graduate Student, Applied Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Emily Ariano
- Emily Ariano, MOT, OT Reg (MB), is Occupational Therapist, Victoria General Hospital, Winnipeg, Manitoba, Canada. At the time of this review, Ariano was Master of Occupational Therapy Student, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jennifer Casey
- Jennifer Casey, MOT, OT Reg (Ont.), is Occupational Therapist, Children's Therapy Collective and Children's First Initiative, Winnipeg, Manitoba, and Fort Frances, Ontario, Canada. At the time of this review, Casey was Master of Occupational Therapy Student, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Morgan Loewen
- Morgan Loewen, MOT, OT Reg (MB), is Occupational Therapist, Deer Lodge Centre, Winnipeg, Manitoba, Canada. At the time of this review, Loewen was Master of Occupational Therapy Student, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Lisa Engel
- Lisa Engel, MSc (OT), PhD, OT Reg (MB), is Assistant Professor, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Manitoba, Canada, and Institute for Work and Health, Toronto, Ontario, Canada;
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Guo L, Cheng J, Zhang Z. Mapping the knowledge domain of financial decision making: A scientometric and bibliometric study. Front Psychol 2022; 13:1006412. [PMID: 36337546 PMCID: PMC9627155 DOI: 10.3389/fpsyg.2022.1006412] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/26/2022] [Indexed: 08/18/2023] Open
Abstract
Based on a 12-year bibliographic record collected from the Web of Science (Thomson Reuters) database, the present study aims to provide a macroscopic overview of the knowledge domain in financial decision making (FDM). A scientometric and bibliometric analysis was conducted on the literature published in the field from 2010 to 2021, using the CiteSpace software. The analysis focuses on the co-occurring categories, the geographic distributions, the vital references, the distribution of topics, as well as the research fronts and emerging trends of financial related decision making. The steady increase of papers published year by year demonstrated the increasing interest on this topic at the international level. The scientometric analysis of the literature showed that financial decision, investment decision, and financing decision stood out of the crowd of the research on FDM, suggesting their important role in FDM and its research. The results of citation burst analysis predicted the focus of topics, i.e., the impact of individual differences such as financial literacy, gender and age on FDM in the coming years. Different from the traditional approach of literature review, this bibliometric analysis offers a scientometric approach to reveal the status quo and the development trend of FDM by macro and quantitative means. In addition, future research directions for the field are recommended.
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Affiliation(s)
- Lin Guo
- Business School, University of Newcastle, Newcastle upon Tyne, United Kingdom
| | - Junlong Cheng
- Research Institute of Foreign Languages, Beijing Foreign Studies University, Beijing, China
- School of Foreign Languages, Guizhou Education University, Guiyang, China
| | - Zhishuo Zhang
- International Business School, Beijing Foreign Studies University, Beijing, China
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Sunderaraman P, Gazes Y, Ortiz G, Langfield C, Mensing A, Chapman S, Joyce JL, Brickman AM, Stern Y, Cosentino S. Financial decision-making and self-awareness for financial decision-making is associated with white matter integrity in older adults. Hum Brain Mapp 2022; 43:1630-1639. [PMID: 34984770 PMCID: PMC8886641 DOI: 10.1002/hbm.25747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/28/2021] [Accepted: 11/14/2021] [Indexed: 11/11/2022] Open
Abstract
Financial decision-making (FDM) and awareness of the integrity of one's FDM abilities (or financial awareness) are both critical for preventing financial mistakes. We examined the white matter correlates of these constructs and hypothesized that the tracts connecting the temporal-frontal regions would be most strongly correlated with both FDM and financial awareness. Overall, 49 healthy older adults were included in the FDM analysis and 44 in the financial awareness analyses. The Objective Financial Competency Assessment Inventory was used to measure FDM. Financial awareness was measured by integrating metacognitive ratings into this inventory and was calculated as the degree of overconfidence or underconfidence. Diffusion tensor imaging data were processed with Tracts Constrained by Underlying Anatomy distributed as part of the FreeSurfer analytic suite, which produced average measures of fractional anisotropy and mean diffusivity in 18 white matter tracts along with the overall tract average. As expected, FDM showed the strongest negative associations with average mean diffusivity measure of the superior longitudinal fasciculus -temporal (SLFT; r = -.360, p = .011) and -parietal (r = -.351, p = .014) tracts. After adjusting for FDM, only the association between financial awareness and average mean diffusivity measure of the right SLFT (r = .310, p = .046) was significant. Overlapping white matter tracts were involved in both FDM and financial awareness. More importantly, these preliminary findings reinforce emerging literature on a unique role of right hemisphere temporal connections in supporting financial awareness.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Yunglin Gazes
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Gema Ortiz
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Christopher Langfield
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Ashley Mensing
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Silvia Chapman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Jillian L Joyce
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA
| | - Adam M Brickman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA.,Gertrude. H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.,Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
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Kenepp A, Johnson E, Lee GJ, Sunderaraman P, Denburg NL, Nguyen CM. A Comprehensive Approach to Assessment of Testamentary Capacity. Front Psychol 2021; 12:789494. [PMID: 35002883 PMCID: PMC8733255 DOI: 10.3389/fpsyg.2021.789494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/01/2021] [Indexed: 11/26/2022] Open
Abstract
The growing aging population raises important implications for legal and clinical systems, including testamentary capacity (TC) assessment. Yet, there are limited comprehensive and standardized assessment measures for TC readily available for clinical use. A review of current assessment methods and standardized approaches for TC assessment is provided. Although several guidelines regarding TC assessment have been proposed in prior literature, existing standardized approaches do not appear to meet full criteria for TC. A comprehensive approach to assessment of testamentary capacity is proposed.
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Affiliation(s)
- Amanda Kenepp
- Department of Psychology, Queens College and The Graduate Center (CUNY), New York, NY, United States
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
| | - Ellen Johnson
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
- Department of Psychology, Ohio University, Athens, OH, United States
| | - Grace J. Lee
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
- Department of Psychology, Ohio University, Athens, OH, United States
| | - Preeti Sunderaraman
- Department of Neurology & The Framingham Heart Study - Brain Aging Program, Boston University School of Medicine, Boston, MA, United States
| | - Natalie L. Denburg
- Department of Neurology, University of Iowa Carver College of Medicine, Iowa, IA, United States
| | - Christopher M. Nguyen
- Department of Psychiatry and Behavioral Health, The Ohio State University College of Medicine, Columbus, OH, United States
- *Correspondence: Christopher M. Nguyen,
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Sunderaraman P, Chapman S, Barker MS, Cosentino S. Self-awareness for financial decision-making abilities in healthy adults. PLoS One 2020; 15:e0235558. [PMID: 32614887 PMCID: PMC7332073 DOI: 10.1371/journal.pone.0235558] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 06/17/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Decades of research have established how to measure metacognition (i.e., awareness of one's cognitive abilities), whereas relatively little is known about how to assess the integrity of financial awareness (FA; awareness of one's financial abilities), a related construct with practical implications for vulnerable older adults. The current study's goal was to apply established metacognitive frameworks to identify an objective measure of FA. METHODS Metacognitive ratings were integrated into two financial decision making (FDM) assessments in order to derive two types of FA metrics: absolute accuracy (calibration) and relative accuracy (resolution) in each FDM task. Associations between each FA metric, demographic variables, FDM performances, and metamemory were examined. DESIGN & SETTING Cross-sectional, community-based, prospective study. PARTICIPANTS 93 individuals with mean age = 59 years (SD = 15.12); mean education = 15.70 (SD = 2.39); 60% females. MEASURES FA was calculated using the Financial Competency Assessment Inventory (FCAI) and Decision Making Competence Assessment Tool, Finance Module (DMC-F), and memory awareness was calculated using an objective metamemory test. RESULTS None of the FA metrics was associated with age, education or gender. FCAI calibration was inversely associated with FDM, and positively correlated with DMC-F calibration and metamemory calibration. None of the FA metrics for DMC-F was associated with metamemory. CONCLUSIONS Mirroring findings from metamemory studies, overconfidence in FDM was associated with lower FDM accuracy in healthy adults. Moreover, calibration scores on the FCAI and metamemory were related, suggesting that FA taps into metacognitive abilities. Our findings provide preliminary evidence for how to measure FA in both clinical and research contexts.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
| | - Silvia Chapman
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
| | - Megan S. Barker
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, United States of America
- Gertrude. H. Sergievsky Center, Columbia University Medical Center, New York, NY, United States of America
- Department of Neurology, Columbia University Medical Center, New York, NY, United States of America
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Sunderaraman P, Ho S, Chapman S, Joyce JL, Colvin L, Omollo S, Pleshkevich M, Cosentino S. Technology Use in Everyday Financial Activities: Evidence from Online and Offline Survey Data. Arch Clin Neuropsychol 2020; 35:385-400. [PMID: 31696205 PMCID: PMC7244884 DOI: 10.1093/arclin/acz042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 06/18/2019] [Accepted: 07/18/2019] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE Internet use and mobile devices permeate every aspect of our lives and are changing our financial habits. Assessment of financial decision-making (FDM) has not yet caught up to apparent changes in financial behavior. To modernize assessment methods and create current and comprehensive FDM frameworks, we first need to establish the most commonly used and most preferred methods of performing specific financial activities. METHOD Cross-sectional survey data were collected using an online platform and offline approaches (in person and by mail) (N = 234). The frequency of using technological (e.g., laptop) and non-technological (e.g., in-person banking) means of completing seven financial activities was assessed first, including Depositing checks, Reviewing bank statements, Keeping track of money spent, Transferring funds, Withdrawing cash, Paying bills, and Purchasing products online. Second, preference for technological versus non-technological methods was assessed. Finally, linear regression models examined associations between demographics and preference for technological methods for each financial activity. RESULTS The majority of respondents (77% online, 74% offline) used technology to perform various financial activities and preferred technological to non-technological methods for completing five out of the six financial activities. Increased preference for technological methods was associated with younger age for all the financial activities, and higher education was associated with reviewing bank statement and transferring funds. CONCLUSIONS Our survey findings provide empirical evidence for the changing nature of our financial habits. We discuss the implications of this change for researchers, clinicians, and the individuals themselves and emphasize the importance of modernizing FDM tools.
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Affiliation(s)
- Preeti Sunderaraman
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Sarah Ho
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Silvia Chapman
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Jillian L Joyce
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Leigh Colvin
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Shalom Omollo
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
| | - Maria Pleshkevich
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain Columbia University Medical Center, New York, NY, USA
- G.H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
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