OBJECTIVE: Examine the influence of employee health management (EHM) best practices on registration, participation, and health behavior change in telephone-based coaching programs. METHODS: Individual health assessment data, EHM program data, and health coaching participation data were analyzed for associations with coaching program enrollment, active participation, and risk reduction. Multivariate analyses occurred at the individual (n = 205,672) and company levels (n = 55). RESULTS: Considerable differences were found in how age and sex impacted typical EHM evaluation metrics. Cash incentives for the health assessment were associated with more risk reduction for men than for women. Providing either a noncash or a benefits-integrated incentive for completing the health assessment, or a noncash incentive for lifestyle management, strengthened the relationship between age and risk reduction. CONCLUSIONS: In EHM programs, one size does not fit all. These results can help employers tailor engagement strategies for their specific population.
OBJECTIVE: Examine the influence of employee health management (EHM) best practices on registration, participation, and health behavior change in telephone-based coaching programs. METHODS: Individual health assessment data, EHM program data, and health coaching participation data were analyzed for associations with coaching program enrollment, active participation, and risk reduction. Multivariate analyses occurred at the individual (n = 205,672) and company levels (n = 55). RESULTS: Considerable differences were found in how age and sex impacted typical EHM evaluation metrics. Cash incentives for the health assessment were associated with more risk reduction for men than for women. Providing either a noncash or a benefits-integrated incentive for completing the health assessment, or a noncash incentive for lifestyle management, strengthened the relationship between age and risk reduction. CONCLUSIONS: In EHM programs, one size does not fit all. These results can help employers tailor engagement strategies for their specific population.
Authors: Nathan A Barleen; Mary L Marzec; Nicholas L Boerger; Daniel P Moloney; Eric M Zimmerman; Jeff Dobro Journal: J Occup Environ Med Date: 2017-03 Impact factor: 2.162