Reduction in Absenteeism with a Web-based Integrated Risk Profiling and Health Management Service.
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Abstract
Reduction in Absenteeism with a Web-based Integrated Risk Profiling and Health Management Service.
MAJ.Niessen1, BE. Colkesen1, MGW. Dijkgraaf3, T. Vles1, D. Van Pelt2, MR. Hoppener1, JJ. Mathijssen1, NB. Peek4, CK. Van Kalken1, RA. Kraaijenhagen1
(1) NDDO Institute for Early Diagnostics and Prevention (NIPED), Amsterdam, the Netherlands.
(2) Beter. ArboServices, Tilburg, the Netherlands
(3) Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, the Netherlands
(4) Department of Medical Informatics, Academic Medical Center, Amsterdam, the Netherlands
Introduction:
It has previously been shown that traditional health checks can result in a (temporarily) increase of absenteeism. It is postulated, however, that effective health management results in declining absenteeism and presenteeism. In the current study the effect on absenteeism of a comprehensive integral health management approach with individual risk assessment and web-based health promotion advices, regarding (amongst others) cardiometabolic - and psychological disorders and lifestyle issues, is evaluated.
Methods:
The study was performed amongst Dutch employees of a multinational in financial services. After a 7-month ‘baseline’ period employees were gradually invited for voluntary participation in a web-based health management service, called PreventionCompass.
Invitation was performed on a monthly basis by month of birth leading to linear inclusion rate of approximately 150 participants per month during a 23 month ‘implementation’ period (n = 3515). The mean follow-up after inclusion was 11,5 months. By stratified random sampling, matching for sex, age and salary scale, a control group (n= 13,118) was defined from a pool of 26,378 individuals employed at the same company. The average net difference in worked days/workable days ratios was compared between baseline and follow-up using non-parametric tests (Mann-Whitney). Poisson robust regression analysis (GLM) was performed to address selection maturation bias from difference in baseline absenteeism between participants and controls and the effects of interactions between baseline absenteeism on follow-up absenteeism.
Results:
The control group showed an average of 0.66 days of absence per month during the baseline period and 1.02 days of absence per month in the 23 month implementation period. Representing a baseline rise in absenteeism of 55% during the observation period. The average amount of recorded days of absence per month for the attendees in the health maintenance program was 0.87 days in the baseline period and 1.17 in the implementation period, a rise of 35%. Non-parametric tests confirmed an overall 20% reduction in absenteeism amongst the health program participants as compared to the controls (p< 0.0001). In the relevant subgroup of employees with one or more days of absence in the baseline period and excluding those who participated during an absenteeism episode, poisson regression analysis showed in a 25% decrease in absenteeism in the participant group as compared to the controls.
Conclusion:
In this study a 20% reduction in absenteeism was shown amongst participants in a comprehensive web-based risk profiling and health management service as compared to a matched control group. In the baseline period the mean absenteeism amongst participants was higher as compared to controls, showing that the program attracts employees for which integral health management is relevant.
MAJ.Niessen1, BE. Colkesen1, MGW. Dijkgraaf3, T. Vles1, D. Van Pelt2, MR. Hoppener1, JJ. Mathijssen1, NB. Peek4, CK. Van Kalken1, RA. Kraaijenhagen1
(1) NDDO Institute for Early Diagnostics and Prevention (NIPED), Amsterdam, the Netherlands.
(2) Beter. ArboServices, Tilburg, the Netherlands
(3) Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, the Netherlands
(4) Department of Medical Informatics, Academic Medical Center, Amsterdam, the Netherlands
Introduction:
It has previously been shown that traditional health checks can result in a (temporarily) increase of absenteeism. It is postulated, however, that effective health management results in declining absenteeism and presenteeism. In the current study the effect on absenteeism of a comprehensive integral health management approach with individual risk assessment and web-based health promotion advices, regarding (amongst others) cardiometabolic - and psychological disorders and lifestyle issues, is evaluated.
Methods:
The study was performed amongst Dutch employees of a multinational in financial services. After a 7-month ‘baseline’ period employees were gradually invited for voluntary participation in a web-based health management service, called PreventionCompass.
Invitation was performed on a monthly basis by month of birth leading to linear inclusion rate of approximately 150 participants per month during a 23 month ‘implementation’ period (n = 3515). The mean follow-up after inclusion was 11,5 months. By stratified random sampling, matching for sex, age and salary scale, a control group (n= 13,118) was defined from a pool of 26,378 individuals employed at the same company. The average net difference in worked days/workable days ratios was compared between baseline and follow-up using non-parametric tests (Mann-Whitney). Poisson robust regression analysis (GLM) was performed to address selection maturation bias from difference in baseline absenteeism between participants and controls and the effects of interactions between baseline absenteeism on follow-up absenteeism.
Results:
The control group showed an average of 0.66 days of absence per month during the baseline period and 1.02 days of absence per month in the 23 month implementation period. Representing a baseline rise in absenteeism of 55% during the observation period. The average amount of recorded days of absence per month for the attendees in the health maintenance program was 0.87 days in the baseline period and 1.17 in the implementation period, a rise of 35%. Non-parametric tests confirmed an overall 20% reduction in absenteeism amongst the health program participants as compared to the controls (p< 0.0001). In the relevant subgroup of employees with one or more days of absence in the baseline period and excluding those who participated during an absenteeism episode, poisson regression analysis showed in a 25% decrease in absenteeism in the participant group as compared to the controls.
Conclusion:
In this study a 20% reduction in absenteeism was shown amongst participants in a comprehensive web-based risk profiling and health management service as compared to a matched control group. In the baseline period the mean absenteeism amongst participants was higher as compared to controls, showing that the program attracts employees for which integral health management is relevant.
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