Medical researchers are witnessing a rise in the number of “imposter participants” taking part in surveys and trials, fuelling concerns for patient safety and the reliability of studies.
The imposters range from automated bots to people lying about previous health issues or deliberately misleading researchers over their conditions and diagnoses.
Academics are in the dark over the exact motivations of these pretenders. When there isn’t a financial interest, feelings of “boredom” and “curiosity” are major players. In more serious cases, “an ideological intent to disrupt research” may be a factor.
Online recruitment methods have triggered a “seismic transformation” across the health landscape, said tech news site Bioengineer. The attraction is clear: the “expanded accessibility” has made it easier than ever to enrol in studies, but this has opened the door for individuals and artificial sources to “falsify data” or “mimic” authentic responses.
Researchers already have to walk a tightrope to gain credible and fair results, said Alan Martino and Arielle Perrotta on The Conversation. They must maintain a balance between providing “thorough vetting” while simultaneously preserving the “ethical commitment to respect the autonomy of participants”.
There is a fine line between ensuring the “validity” of data, but not “creating barriers for legitimate participants”, said Martino and Perrotta. If measures are too stringent, then credible concerns could be ignored.
“The key to success is balancing caution with empathy”, where patients’ experiences are weighed up, analysing the risks of including or excluding them. If recruitment processes are “clear and specific”, there is caution around compensation and the interview practices are revised, there can be increased credibility among researchers. |