Understanding the Relationship between Incentive Design and Participation in U.S. Workplace Wellness Programs

Purpose. We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates. Design. A cross-sectional analysis of nationally representative survey data combi...

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Published inAmerican journal of health promotion Vol. 30; no. 3; pp. 198 - 203
Main Authors Batorsky, Benjamin, Taylor, Erin, Huang, Crystal, Liu, Hangsheng, Mattke, Soeren
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.01.2016
American Journal of Health Promotion
Subjects
Online AccessGet full text
ISSN0890-1171
2168-6602
2168-6602
DOI10.4278/ajhp.150210-QUAN-718

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Abstract Purpose. We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates. Design. A cross-sectional analysis of nationally representative survey data combined with an administrative business database was employed. Settings/Subjects. Random sampling of U.S. companies within strata based on industry and number of employees was used to determine a final sample of 3000 companies. Of these, 19% returned completed surveys. Measures. The survey asked about employee participation rate, incentive type, and gender composition of employees. Incentive types included any incentives, high-value rewards, and rewards plus penalties. Analysis. Logistic regressions of incentive type on employer characteristics were used to determine what types of employers are more likely to offer which type of incentives. A generalized linear model of participation rate was used to determine the relationship between incentive type and participation. Results. Employers located in the Northeast were 5 to 10 times more likely to offer incentives. Employers with a large number of employees, particularly female employees, were up to 1.25 times more likely to use penalties. Penalty and high-value incentives were associated with participation rates of 68% and 52%, respectively. Conclusion. Industry or regional characteristics are likely determinants of incentive use for wellness programs. Penalties appear to be effective, but attention should be paid to what types of employees they affect.
AbstractList We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates. A cross-sectional analysis of nationally representative survey data combined with an administrative business database was employed. Random sampling of U.S. companies within strata based on industry and number of employees was used to determine a final sample of 3000 companies. Of these, 19% returned completed surveys. The survey asked about employee participation rate, incentive type, and gender composition of employees. Incentive types included any incentives, high-value rewards, and rewards plus penalties. Logistic regressions of incentive type on employer characteristics were used to determine what types of employers are more likely to offer which type of incentives. A generalized linear model of participation rate was used to determine the relationship between incentive type and participation. Employers located in the Northeast were 5 to 10 times more likely to offer incentives. Employers with a large number of employees, particularly female employees, were up to 1.25 times more likely to use penalties. Penalty and high-value incentives were associated with participation rates of 68% and 52%, respectively. Industry or regional characteristics are likely determinants of incentive use for wellness programs. Penalties appear to be effective, but attention should be paid to what types of employees they affect.
Purpose. We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates. Design. A cross-sectional analysis of nationally representative survey data combined with an administrative business database was employed. Settings/Subjects. Random sampling of U.S. companies within strata based on industry and number of employees was used to determine a final sample of 3000 companies. Of these, 19% returned completed surveys. Measures. The survey asked about employee participation rate, incentive type, and gender composition of employees. Incentive types included any incentives, high-value rewards, and rewards plus penalties. Analysis. Logistic regressions of incentive type on employer characteristics were used to determine what types of employers are more likely to offer which type of incentives. A generalized linear model of participation rate was used to determine the relationship between incentive type and participation. Results. Employers located in the Northeast were 5 to 10 times more likely to offer incentives. Employers with a large number of employees, particularly female employees, were up to 1.25 times more likely to use penalties. Penalty and high-value incentives were associated with participation rates of 68% and 52%, respectively. Conclusion. Industry or regional characteristics are likely determinants of incentive use for wellness programs. Penalties appear to be effective, but attention should be paid to what types of employees they affect.
Purpose. We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates. Design. A cross-sectional analysis of nationally representative survey data combined with an administrative business database was employed. Settings/Subjects. Random sampling of U.S. companies within strata based on industry and number of employees was used to determine a final sample of 3000 companies. Of these, 19% returned completed surveys. Measures. The survey asked about employee participation rate, incentive type, and gender composition of employees. Incentive types included any incentives, high-value rewards, and rewards plus penalties. Analysis. Logistic regressions of incentive type on employer characteristics were used to determine what types of employers are more likely to offer which type of incentives. A generalized linear model of participation rate was used to determine the relationship between incentive type and participation. Results. Employers located in the Northeast were 5 to 10 times more likely to offer incentives. Employers with a large number of employees, particularly female employees, were up to 1.25 times more likely to use penalties. Penalty and high-value incentives were associated with participation rates of 68% and 52%, respectively. Conclusion. Industry or regional characteristics are likely determinants of incentive use for wellness programs. Penalties appear to be effective, but attention should be paid to what types of employees they affect.
We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates.PURPOSEWe aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the relationship between incentive type and participation rates.A cross-sectional analysis of nationally representative survey data combined with an administrative business database was employed.DESIGNA cross-sectional analysis of nationally representative survey data combined with an administrative business database was employed.Random sampling of U.S. companies within strata based on industry and number of employees was used to determine a final sample of 3000 companies. Of these, 19% returned completed surveys.SETTINGS/SUBJECTSRandom sampling of U.S. companies within strata based on industry and number of employees was used to determine a final sample of 3000 companies. Of these, 19% returned completed surveys.The survey asked about employee participation rate, incentive type, and gender composition of employees. Incentive types included any incentives, high-value rewards, and rewards plus penalties.MEASURESThe survey asked about employee participation rate, incentive type, and gender composition of employees. Incentive types included any incentives, high-value rewards, and rewards plus penalties.Logistic regressions of incentive type on employer characteristics were used to determine what types of employers are more likely to offer which type of incentives. A generalized linear model of participation rate was used to determine the relationship between incentive type and participation.ANALYSISLogistic regressions of incentive type on employer characteristics were used to determine what types of employers are more likely to offer which type of incentives. A generalized linear model of participation rate was used to determine the relationship between incentive type and participation.Employers located in the Northeast were 5 to 10 times more likely to offer incentives. Employers with a large number of employees, particularly female employees, were up to 1.25 times more likely to use penalties. Penalty and high-value incentives were associated with participation rates of 68% and 52%, respectively.RESULTSEmployers located in the Northeast were 5 to 10 times more likely to offer incentives. Employers with a large number of employees, particularly female employees, were up to 1.25 times more likely to use penalties. Penalty and high-value incentives were associated with participation rates of 68% and 52%, respectively.Industry or regional characteristics are likely determinants of incentive use for wellness programs. Penalties appear to be effective, but attention should be paid to what types of employees they affect.CONCLUSIONIndustry or regional characteristics are likely determinants of incentive use for wellness programs. Penalties appear to be effective, but attention should be paid to what types of employees they affect.
Author Taylor, Erin
Huang, Crystal
Liu, Hangsheng
Mattke, Soeren
Batorsky, Benjamin
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Issue 3
Keywords Strategy: behavior change
Cross-Sectional Studies
Manuscript format: research
Outcome measure: behavioral
Research purpose: relationship testing
Workplace
Health focus: general health
Prevention Research
Target population age: adults
Health Promotion
Motivation
Target population circumstances: geographic location
Setting: workplace
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Language English
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Snippet Purpose. We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the...
We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the...
Purpose. We aimed to understand how employer characteristics relate to the use of incentives to promote participation in wellness programs and to explore the...
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StartPage 198
SubjectTerms Adult
Attitude to Health
Community Participation - psychology
Cross-Sectional Studies
Employee involvement
Employees
Employers
Female
Generalized linear models
Health promotion
Health Promotion - organization & administration
Humans
Incentives
Linear analysis
Male
Middle Aged
Motivation
Penalties
Polls & surveys
Random sampling
Rewards
Surveys and Questionnaires
United States
Wellness programs
Workplace - psychology
Workplaces
Title Understanding the Relationship between Incentive Design and Participation in U.S. Workplace Wellness Programs
URI https://journals.sagepub.com/doi/full/10.4278/ajhp.150210-QUAN-718
https://www.ncbi.nlm.nih.gov/pubmed/26734957
https://www.proquest.com/docview/2421452873
https://www.proquest.com/docview/1760904170
Volume 30
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