Assessing Work–Asthma Interaction With Amazon Mechanical Turk

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Abstract

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.

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