Barrier profiles in workplace health promotion in Germany

Nöhammer, Elisabeth; Amler, N; Fischmann, Wolfgang

doi:10.1093/heapro/daac125

Cited by 4 publications

(4 citation statements)

References 54 publications

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“…The sample consisted only of employees from the private-sector with companies of various industries and sizes (see Results). The questionnaire included questions regarding demographics, DWHP (12 closed and 2 open questions) and 22 questions on perceived barriers to WHP participation (Nöhammer et al ., 2014, 2023).…”

Section: Methodsmentioning

confidence: 99%

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Digital workplace health promotion: a pilot study during the SARS-CoV-2 pandemic in Germany

Nöhammer

Fischmann

2023

IJWHM

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PurposePreventing diseases and promoting health is most effective in large settings like the workplace. Digital workplace health promotion (DWHP) became more popular during the SARS-CoV-2 pandemic. While e-health appliances have received research interest, little is known regarding the target populations' perspective on and potentials of the DWPH.Design/methodology/approachAn online pilot study was done in Germany in June 2021. The study is representative regarding age, gender and education. The user perspective on DWHP was investigated using 12 quantitative and 2 qualitative items.FindingsThe majority of the 690 participants perceives DWHP as valid long-term addition to regular workplace health promotion. Nearly 55.7% use DWHP when available, but most (65.4%) do not use these offers more than regular ones. Spontaneous participation is relevant for about 55%. Problems occur due to technical equipment (29.4%) and premises (36.3%). Open remarks highlight specifics to be observed in offer design, for example, data security issues.Research limitations/implicationsTo conclude, DWHP has a high potential to improve health at the workplace initiatives regarding participation rates, outcomes and costs. Challenges can be overcome by ensuring data protection and skills, which can be transferred to other life domains, improving population health. The potentials of DWHP for population health via spillover effects, employee well-being and employer branding have not yet been reached.Originality/valueThe aim of this study is giving a first overview of employee views on and use of DWHP.

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Section: Methodsmentioning

confidence: 99%

“…supervisor is against participation) and informational (e.g. the information is not attractive) (Nöhammer et al ., 2014, 2023). Higher perceived barriers to participation in WHP are thought to lead to a higher need for DWHP.…”

Section: Introductionmentioning

confidence: 99%

Digital workplace health promotion: a pilot study during the SARS-CoV-2 pandemic in Germany

Nöhammer

Fischmann

2023

IJWHM

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“…First, it is a novel idea of complex adaptive decision-making that considers the dual demands of organization and individual based on the antecedents and consequences mechanisms of OHW. It meets current needs and ensures smooth implementation and predictability of results (Noehammer et al, 2023). Secondly, it can be said to provide a clearer research perspective for cross-level decisionmaking, specifically considering work characteristics, occupational psychology, physiological activity processes, and organizational response tactics (Aghakhani & Park, 2019;Cao et al, 2021).…”

Section: Theoretical Contribution and Practice Significancementioning

confidence: 99%

“…Tuomi et al (2004) confirmed the role of organizational support in healthy work environments. And the importance of continuous individual involvement was emphasized by Noehammer et al (2023). Breaking away from single empirical management decisions and linking programs closely to practices is key to addressing the well-being challenge.…”

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confidence: 99%

Prioritizing decision‐making of health and well‐being response tactics: Incorporating organizational and individual shared demands

Zhou

Sun

et al. 2023

Stress and Health

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As a major energy source in China, the occupational health and well‐being (OHW) of miners is a priority. Various statistical techniques have been used to identify factors or assess OHW to provide valuable information for the implementation of health promotion activities. The main bottleneck is the limited focus on solutions that address the demands of both organizations and individuals, and scientific and effective decision‐making is pending. Therefore, this study describes the OHW mechanism covering both antecedents and consequences through the driving force‐pressure‐state‐impact‐response model. A probabilistic model of management tradeoff analysis was established by using a Bayesian decision network. Causal relationships and dependencies between multiple factors are captured visually. The model was verified and applied with samples of miners (N = 816). The results showed that the comprehensive strategy (R5) was the best tactic, and the management effect of stress (R2) and vulnerability (R3) was prominent. This study provides a valuable tool for managers to identify priority management factors. Prioritizing tactics formulated from dual demands of organizational and individual can ensure project feasibility, operability, and effectiveness. This study is a novel attempt to combine theory with practice, which is timely and necessary for management.

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A Representative Analysis of Nonparticipation in Workplace Health Promotion in Germany Using Multivariable Methods

Pache,

Herbig,

Nowak

et al. 2024

Int J Public Health

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ObjectivesStudies have identified sociodemographic and socioeconomic factors that promote participation in workplace health promotion activities. The present study therefore focuses on what influences nonparticipation within a representative sample of the German population.MethodsIn the analysis of possible factors influencing nonparticipation, company characteristics are accounted for in addition to sociodemographic and health behaviour-related variables. The data used for the analysis are from the GEDA study 2014/2015-EHIS of the Robert Koch Institute in Berlin.ResultsAge largely increased the probability of nonparticipation (OR: between 1.30 and 1.92, p: between <0.001 and 0.033). Other possible influencing factors, such as weight, smoking status, alcohol consumption, exercise status and diet, seemed to play a rather minor role in the present analysis. Self-rated belonging to a certain socioeconomic status group also had a significant influence (OR: 0.76, p: <0.001).ConclusionThe influencing factors seem to be of a sociodemographic and socioeconomic nature. These determinants should be accounted for to reduce nonparticipation. However, a comparison with current or longitudinal data would be needed to prove to what extent the results are still valid or influenced by a cohort effect.

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Barrier profiles in workplace health promotion in Germany

Cited by 4 publications

References 54 publications

Digital workplace health promotion: a pilot study during the SARS-CoV-2 pandemic in Germany

Digital workplace health promotion: a pilot study during the SARS-CoV-2 pandemic in Germany

Prioritizing decision‐making of health and well‐being response tactics: Incorporating organizational and individual shared demands

A Representative Analysis of Nonparticipation in Workplace Health Promotion in Germany Using Multivariable Methods

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