Patient Doctor Lies

Completed · Not applicable

Conditions studied: Patient Lying, Privacy Statements, Risk Statements, Benefit Statements, Patient Lie Detection

In brief

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.

Key facts

Study ID
NCT04803448
Run by
University of Utah
People needed
619
Starts
2020-02-12
Expected to finish
2020-04-19
Last updated by the study team
2021-03-17

Who can join

Age: 18 and older, up to 80. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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