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NCT Number: NCT07682740

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

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

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Key information

Age range

60 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

The University of Texas Health Science Center at Houston

Houston, Texas, 77030, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

  • Less than age 60
  • Non-English speaker

Treatment and study plan

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

Behavioral

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.

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

Behavioral

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).

Primary outcomes

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

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

    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.

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

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

    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.

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

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

    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.

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

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

    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.

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

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

    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.

  6. Physiological arousal as measured via heart rate

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

    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.

  7. Physiological arousal as measured via skin conductance

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

    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.

  8. Physiological arousal as measured via pupil dilation

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

    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.

  9. Frequency of facial expressions associated with valence and engagement

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

    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).

  10. Attention as assessed by eye fixations

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

    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).

Secondary outcomes

  1. Response time during the behavioral tasks

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

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

Study contacts

Contact information is provided by the study sponsor or research team.

Abdelaziz Alsharawy, PhD

CONTACT

[email protected]

(713) 500-9000

Sponsors and collaborators

Lead sponsor

The University of Texas Health Science Center, Houston

Other

Collaborators

  • National Institute on Aging (NIA)

Registry information

Important dates

Study start
2027
Primary completion
2027
Study completion
2027
First posted
Jul 6, 2026
Registry last updated
Jul 7, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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