Philip Harber1, Gondy Leroy. 1. From Community, Environment and Policy (Dr Harber), Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson; and Management Information Systems (Dr Leroy), Eller College of Management, University of Arizona, Tucson.
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.
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.
Authors: D Andrew Tompkins; Patrick S Johnson; Michael T Smith; Eric C Strain; Robert R Edwards; Matthew W Johnson Journal: Pain Date: 2016-08 Impact factor: 7.926
Authors: Perrine Créquit; Ghizlène Mansouri; Mehdi Benchoufi; Alexandre Vivot; Philippe Ravaud Journal: J Med Internet Res Date: 2018-05-15 Impact factor: 5.428