Patient Doctor Lies

Summary

Accurate patient information disclosure is critical to provide optimal treatment. Methods that can detect and then increase the truthfulness of information are relatively unknown.

To investigate the impact of communication about privacy, benefits, and risk on patient truthfulness, the investigators test two new methods to detect patient truthfulness and demonstrate the effects of privacy notices (e.g. HIPPA statements).

Participants include a national online sample randomly assigned to one of six treatment statements that might be typically given before health information was requested. The assigned treatments include one or mix of the following: privacy notice, statement of the benefits of accurate disclosure, and statement of the risks of inaccurate disclosure and control of no statement before being asked typical health questions.

The investigators propose that based on elaboration likelihood model, statements reminding participants of their privacy will increase lying.

The investigators hypothesis the use of a new biometric mouse movement lie detection method and answer adjustment can measure patient lies.

The investigators hypothesis that reminders of the risk of not telling the truth will reduce lying due to risk aversion.

Lastly the investigators hypothesis that statements of benefits of answering truthfully will increase truthfulness.

Conditions

• Patient Lying
• Privacy Statements
• Risk Statements
• Benefit Statements
• Patient Lie Detection

Interventions

BEHAVIORAL

Benefit statement

The participant reads this statement after asked one of eight health questions 1. What is your height in inches? 2. What is your weight in pounds? 3. How many days out of the last 2 weeks did you drink alcohol? 4. How often a month do you use other substance such as marijuana, cocaine, ecstasy, or other drugs 5. How often a month do you use Rx or non-Rx medications to excessive amounts? 6. When was the last time you smoked a cigarette? 7. How many days in the last 2 weeks did you engage in more than 30 min exercise? 8. How many times did you engage in sexual activity in the last month with another individual? . The statement reads: Accurately answering this will increase the likelihood of a correct diagnosis. An example of this with one of the 8 health questions is... What number of days in the last 2 weeks you engaged in \>30 minutes of exercise? Accurately answering this will increase the likelihood of a correct diagnosis.

BEHAVIORAL

Risk Statement

The participant reads this statement after being asked one of eight health questions. The statement reads: Inaccurately answering this will increase the likelihood of an incorrect diagnosis.

BEHAVIORAL

Privacy Statement

The participant reads this statement after being asked one of eight health question for example. "We will not share or sell this personal health information with anyone. We will comply with all HIPPA regulations regarding the protection of your data."

BEHAVIORAL

Benefit + Privacy

The statement reads "Accurately answering this will increase the likelihood of a correct diagnosis. We will not share or sell this personal health information with anyone. We will comply with all HIPPA regulations regarding the protection of your data."

BEHAVIORAL

Risk + Privacy

The statement reads "Inaccurately answering this will increase the likelihood of an incorrect diagnosis. We will not share or sell this personal health information with anyone. We will comply with all HIPPA regulations regarding the protection of your data."

Sponsors & Collaborators

• University of Utah

  lead OTHER

Principal Investigators

• Mark Keith, PhD · Brigham Young University

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

18 Years

Max Age

80 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2020-02-12

Primary Completion

2020-04-19

Completion

2020-04-19

Countries

• United States

Study Locations