The Patient in Your Alzheimer's Disease Study May be in Another: Duplication and Deception in Clinical Trials of Alzheimer's Disease

Frequency of concealment, fabrication and falsification of study data by deceptive subjects

Purpose

Many studies have found evidence that research subjects engage in deceptive practices while participating in health-related studies. Little is known, however, about how often subjects use deception and the percentage of studies a typical subject will contaminate with false data. This study examined the frequency of use of different types of deception among a sample of subjects who admit to using deception.

Methods

A sample of 59 subjects who had participated in at least two health-related studies in the past 12 months and admitted to using deception in at least one were interviewed. Subjects were asked a series of questions about concealing information and fabricating information to gain entry into studies. Subjects were also asked about falsifying data after being enrolled in a health-related study. All study data reported pertains to only subjects who reported using deception in health-related studies and is based on subjects’ study participation only within the last 12 months from the date of the interview.

Results

Subjects who conceal information in order to enroll in trials reported using concealment in about two thirds (67%) of the trials they participated in over the past 12 months. On average, these subjects’ use of concealment was highest for mental health information (58% of studies) and physical health information (57% of studies). The average frequency of fabricating information in order to enroll in trials was 53% with exaggerating health symptoms (45% of studies) and pretending to have a health condition (39% of studies) as the two most widely used strategies. Subjects who falsify study data after enrollment reported doing so 40% of the time. These subjects falsely reported improvement in the health condition being studied in 38% of the trials they took part in. Subjects who admitted to throwing away study medication to create the appearance of compliance reported doing so 32% of the time.

Limitations

Although this study provides evidence that subjects who admit to using deception contaminate a high percentage of studies, larger and more geographically diverse samples are needed to understand the full extent of the problem of deceptive subjects in research. Regional economic, cultural, or organizational factors may be related to the rate of subjects using deception. It is also possible that this sample underrepresents the use of deception as there are likely subjects who use deception that would be unwilling to admit the extent of this behavior.

Conclusion

Deceptive subject's behavior poses a threat to the integrity of research findings. Given that deceptive subjects contaminate a high percentage of studies they take part in by concealing information, fabricating information, and falsifying study data after enrollment, efforts to identify and exclude these subjects is important to the integrity of research findings. Strategies to exclude deceptive subjects from health research should be used to inform study designs. Widespread adoption of research subject identity registries could greatly reduce the scope of studies that a single deceptive subject could contaminate. Technological solutions that provide an objective measure of medication compliance may be valuable tools for limiting fraudulent reports of compliance.