Mdma Clinical Trials
Patient Doctor Lies: When is Privacy Assurance a Bad Thing? A Randomized Clinical Trial
To see complete record on clinicaltrials.gov, please visit this link
Organisation Name: University of Utah
Overal Status: Completed
Start Date: February 12, 2020
Last Update: March 17, 2021
Lead Sponsor: University of Utah
Brief 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.Conditions
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.
- Patient Lying
- Privacy Statements
- Risk Statements
- Benefit Statements
- Patient Lie Detection
Total execution time in seconds: 0.2158579826355