Assessing work-asthma interaction with Amazon Mechanical Turk

Research output: Contribution to journalArticle

8 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)381-385
Number of pages5
JournalJournal of occupational and environmental medicine / American College of Occupational and Environmental Medicine
Volume57
Issue number4
DOIs
StatePublished - Apr 1 2015

ASJC Scopus subject areas

  • Medicine(all)

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