Stated Uptake of Physical Activity Rewards Programmes Among Active and Insufficiently Active Full-Time Employees

Semra Ozdemir (), Marcel Bilger () and Eric A. Finkelstein ()
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Semra Ozdemir: Duke-NUS Medical School
Marcel Bilger: Duke-NUS Medical School
Eric A. Finkelstein: Duke-NUS Medical School

Applied Health Economics and Health Policy, 2017, vol. 15, issue 5, No 10, 647-656

Abstract: Abstract Background Employers are increasingly relying on rewards programmes in an effort to promote greater levels of activity among employees; however, if enrolment in these programmes is dominated by active employees, then they are unlikely to be a good use of resources. Objective This study uses a stated-preference survey to better understand who participates in rewards-based physical activity programmes, and to quantify stated uptake by active and insufficiently active employees. Methods The survey was fielded to a national sample of 950 full-time employees in Singapore between 2012 and 2013. Participants were asked to choose between hypothetical rewards programmes that varied along key dimensions and whether or not they would join their preferred programme if given the opportunity. A mixed logit model was used to analyse the data and estimate predicted uptake for specific programmes. We then simulated employer payments based on predictions for the percentage of each type of employee likely to meet the activity goal. Results Stated uptake ranged from 31 to 67% of employees, depending on programme features. For each programme, approximately two-thirds of those likely to enrol were insufficiently active. Conclusion Results showed that insufficiently active employees, who represent the majority, are attracted to rewards-based physical activity programmes, and at approximately the same rate as active employees, even when enrolment fees are required. This suggests that a programme with generous rewards and a modest enrolment fee may have strong employee support and be within the range of what employers may be willing to spend.

Keywords: Physical Activity Programme; Mixed Logit; Charitable Donation; Active Employee; Random Utility Model (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s40258-017-0327-9

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