OBJECTIVES: To illustrate the utility of crowdsourcing for occupational health surveillance.
METHODS: Amazon Mechanical Turk was used to recruit and obtain information from employed persons with asthma, who answered questions about work-asthma interactions.
RESULTS: Data collection from 60 subjects required only a few hours. Participants spent on average 7 minutes responding to seven questions (one optional) and used an average of 708 words. Work exacerbation, interference of asthma with work, and suggested workplace accommodation are frequent (83% reported at least one interaction).
CONCLUSIONS: The full spectrum of work-asthma interactions should be considered. Modern crowdsourcing methods have considerable potential as occupational health surveillance tools because of their effectiveness; efficiency and financial viability are additional important advantages.
|Original language||English (US)|
|Number of pages||5|
|Journal||Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine|
|Publication status||Published - Apr 1 2015|
ASJC Scopus subject areas