Analyzing Best Practices in Employee Health Management: How Age, Sex, and Program Components Relate to Employee Engagement and Health Outcomes

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 as...

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Published in:Journal of occupational and environmental medicine 2013-04, Vol.55 (4), p.378-392
Main Authors: Terry, Paul E., Grossmeier, Jessica, Mangen, David J., Gingerich, Stefan B.
Format: Article
Language:English
Subjects:
Adult
Age
Age differences
Age Factors
Best practice
Biological and medical sciences
Cross-Sectional Studies
Evidence-Based Practice
Fast Track Article
Female
Gender
Health Promotion - methods
Humans
Male
Medical sciences
Middle Aged
Miscellaneous
Multivariate Analysis
Occupational Health
Occupational medicine
Public health. Hygiene-occupational medicine
Risk Reduction Behavior
Sex Factors
United States
Wellness programs
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container_end_page 392
container_issue 4
container_start_page 378
container_title Journal of occupational and environmental medicine
container_volume 55
creator Terry, Paul E.
Grossmeier, Jessica
Mangen, David J.
Gingerich, Stefan B.
description 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.
doi_str_mv 10.1097/JOM.0b013e31828dca09
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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. 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1536-5948
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source JSTOR Archival Journals and Primary Sources Collection
subjects Adult
Age
Age differences
Age Factors
Best practice
Biological and medical sciences
Cross-Sectional Studies
Evidence-Based Practice
Fast Track Article
Female
Gender
Health Promotion - methods
Humans
Male
Medical sciences
Middle Aged
Miscellaneous
Multivariate Analysis
Occupational Health
Occupational medicine
Public health. Hygiene-occupational medicine
Risk Reduction Behavior
Sex Factors
United States
Wellness programs
title Analyzing Best Practices in Employee Health Management: How Age, Sex, and Program Components Relate to Employee Engagement and Health Outcomes
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