During the course of the COVID-19 pandemic, there have been suggestions that various techniques could be employed to improve the fit and, therefore, the effectiveness of face masks. It is well recognized that improving fit tends to improve mask effectiveness, but whether these fit modifiers are reliable remains unexplored. In this study, we assess a range of common “fit hacks” to determine their ability to improve mask performance.
Fit hacks can be used to effectively improve the fit of surgical and KN95 masks, enhancing the protection provided to the wearer. However, many of the most effective hacks are very uncomfortable and unlikely to be tolerated for extended periods of time. The development of effective fit-improvement solutions remains a critical issue in need of further development.
TIL methods determine, with a good degree of accuracy, the protection provided by the RPD under ideal laboratory conditions. But when the RPD is actually used in the workplace, another important variable is introduced—the wearer. In the past this was often overlooked, and this is where RPD fit testing has an important role to play.