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Not yet recruitingNCT07682740Updated Jul 7, 2026

Leveraging Behavioral Economics to Understand and Improve Financial Decision Making Among Vulnerable Older Adults

An interventional study of Participants receiving informational self-nudges to improve financial decision-making and Control - Participants receiving informational content on healthy eating and physical activity in Financial Exploitation of Older Adults, sponsored by The University of Texas Health Science Center, Houston. Not yet recruiting at 1 site in United States. Open to participants aged 60 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-07-07.

Sponsored by The University of Texas Health Science Center, Houston · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
400
Allocation
Randomized
Ages
60 Years and older
Sex
All
01

Study summary

This study seeks to test novel informational content / nudge strategies to mitigate financial vulnerability among older adults.

02

Conditions studied

  • Financial Exploitation of Older Adults

Keywords

  • financial exploitation
  • financial decision-making
  • scam
  • behavioral nudging
03

In context

Lead sponsor

The University of Texas Health Science Center, Houston is the lead sponsor of 880 studies on the registry; 209 are open to participants now.

Of its 170 completed or terminated interventional studies of FDA-regulated products, 140 (82%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
60 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Adults over the age of 60
  • English speakers, to ensure comprehension of study tasks
  • High vulnerability to financial exploitation as assessed by the Financial Exploitation Vulnerability Scale (FEVS)

Exclusion criteria

Exclusion Criteria:

  • Less than age 60
  • Non-English speaker
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
400 participants (estimated)

Study arms

  • Experimental
    Participants receiving informational self-nudges to improve financial decision-making

    Participants will be asked to virtually go through financial self-nudging informational content during the week prior to completing behavioral tasks. Self-nudging informational content contains strategies to enhance financial decision-making.

    Behavioral: Participants receiving informational self-nudges to improve financial decision-making

  • Experimental
    Control - Participants receiving informational content on healthy eating and physical activity

    The control group will be exposed to informational content on healthy eating and physical activity (obtained through the U.S. Centers for Disease Control and Prevention and/or National Institute on Aging webpages).

    Behavioral: Control - Participants receiving informational content on healthy eating and physical activity

Interventions

  • BehavioralParticipants receiving informational self-nudges to improve financial decision-making

    Participants will be asked to virtually go through financial self-nudging informational content during the week prior to completing behavioral tasks. Self-nudging informational content contains strategies to enhance financial decision-making.

  • BehavioralControl - Participants receiving informational content on healthy eating and physical activity

    The control group will be exposed to informational content on healthy eating and physical activity (obtained through the U.S. Centers for Disease Control and Prevention and/or National Institute on Aging webpages).

06

What researchers measure

Primary outcomes

  1. Frequency of choosing the riskier option on the risk tolerance decision-making task

    Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize risk tolerance (willingness to accept uncertain outcomes). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions.

    Time frame: During the time of the decision-making task (about 5-10 minutes)

  2. Frequency of choosing the more trusting option on the trust decision-making task

    Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize interpersonal trust (willingness to accept being vulnerable to other people). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions.

    Time frame: During the time of the decision-making task (about 5-10 minutes)

  3. Frequency of choosing the more altruistic option on the altruism decision-making task

    Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize altruism (willingness to incur a financial cost to benefit another person). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions.

    Time frame: During the time of the decision-making task (about 5-10 minutes)

  4. Frequency of choosing the more patient option on the impatience decision-making task

    Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize patience (willingness to forego a sooner reward for a bigger future reward). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions.

    Time frame: During the time of the decision-making task (about 5-10 minutes)

  5. Frequency of choosing the less loss-averse option on the loss-aversion decision-making task

    Participants will complete a decision-making session that captures multiple dimensions of behavioral preferences via incentivized choice-based tasks with real monetary rewards. The study team will administer the following decision-making task via a web-based survey platform to characterize loss aversion (tendency to weigh potential losses more heavily than equivalent gains). The task involves multiple rounds (between 20 to 40) that vary option-specific information to facilitate mapping of elicited behavioral responses onto parameters characterizing standard utility functions.

    Time frame: During the time of the decision-making task (about 5-10 minutes)

  6. Physiological arousal as measured via heart rate

    Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks.

    Time frame: During the time of the decision-making tasks (about 20-40 minutes)

  7. Physiological arousal as measured via skin conductance

    Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks.

    Time frame: During the time of the decision-making tasks (about 20-40 minutes)

  8. Physiological arousal as measured via pupil dilation

    Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks.

    Time frame: During the time of the decision-making tasks (about 20-40 minutes)

  9. Frequency of facial expressions associated with valence and engagement

    Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. Facial expressions will be assessed using a facial expression analysis system (iMotions software).

    Time frame: During the time of the decision-making tasks (about 20-40 minutes)

  10. Attention as assessed by eye fixations

    Participants recruited for in-lab sessions will complete the decision-making tasks while also sitting before a monitor with an eye-tracker to monitor attention, a webcam to monitor facial expressions, and with a wireless device (non-invasive transmitter placed on participant's wrist with two electrodes attached to finger) worn to monitor physiological measurements (heart rate and skin conductance) while completing the choice-based tasks. Relative fixation duration on each option in the behavioral tasks will be measured via an eye tracker (SmartEye).

    Time frame: During the time of the decision-making tasks (about 20-40 minutes)

Secondary outcomes

  1. Response time during the behavioral tasks

    Response time will be reported as the time from stimulus presentation to choice, in milliseconds.

    Time frame: During the time of the decision-making tasks (about 20-40 minutes)

07

Study locations

1 site
  • The University of Texas Health Science Center at Houston
    Houston, Texas 77030, United States
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 7, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07682740
Lead sponsor
The University of Texas Health Science Center, Houston
Collaborators
National Institute on Aging (NIA)
Responsible party
Abdelaziz Alsharawy (Assistant Professor, The University of Texas Health Science Center, Houston) — Principal investigator
First posted
Jul 6, 2026
Start date
Jan 1, 2027 (estimated)
Primary completion
Dec 1, 2027 (estimated)
Completion
Dec 1, 2027 (estimated)
Last update
Jul 7, 2026

Study contacts

Abdelaziz Alsharawy, PhD
Contact
Abdelaziz.Alsharawy@uth.tmc.edu
(713) 500-9000
Abdelaziz Alsharawy, PhD
principal investigator · The University of Texas Health Science Center, Houston

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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