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Implementing sensor technology applications for workplace health promotion: a needs assessment among workers with physically demanding work.

ABSTRACT: BACKGROUND:Workers with physically demanding work may be at risk for injury, illness or other adverse health outcomes due to exposure to different occupational hazards, especially at higher age. Sensor technology applications may be useful in the workplace to unobtrusively measure and monitor work exposures and provide workers with real-time feedback or access to data on demand. Many aspects might impede the implementation of sensor technology applications in the workplace, which should be taken into consideration for a successful implementation. Moreover, needs and preferences of workers regarding the use of sensor technology applications during work performance need to be identified. Therefore, the aim of this study was to identify worker needs and preferences regarding the use of sensor technology applications in the workplace. METHODS:Four on-site focus group sessions were conducted in four different companies among workers with physically demanding work (n =?30). Semi-structured interview schedules were used to identify which work exposures should be measured, by which kind of sensor technology applications, under which (pre)conditions, how to motivate long-term use of sensor technology applications, and which type of feedback is preferred. For data analysis, a content-analysis with an inductive approach was performed. RESULTS:Participants mentioned that they want to use wearable sensor technology applications to measure and monitor physical job demands, occupational heat stress, noise and fatigue. Factors associated with quality, comfort and perceived ease of use were identified as potential barriers for implementation in the workplace. Long-term motivation was attributed to the ability to manage and monitor work exposures, positive feedback and data ownership. Participants indicated a need to both receive real-time feedback and access to data on demand. CONCLUSIONS:Sensor technology applications may support workers with physically demanding work to measure and monitor their work exposures. Potential barriers for implementation such as privacy aspects and quality, comfort and perceived ease of use of sensor technology applications need to be well considered to ensure successful implementation of sensor technology applications in the workplace.

SUBMITTER: Spook SM

PROVIDER: S-EPMC6693286 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Implementing sensor technology applications for workplace health promotion: a needs assessment among workers with physically demanding work.

Spook Sander Mathijn SM Koolhaas Wendy W Bültmann Ute U Brouwer Sandra S

BMC public health 20190814 1

<h4>Background</h4>Workers with physically demanding work may be at risk for injury, illness or other adverse health outcomes due to exposure to different occupational hazards, especially at higher age. Sensor technology applications may be useful in the workplace to unobtrusively measure and monitor work exposures and provide workers with real-time feedback or access to data on demand. Many aspects might impede the implementation of sensor technology applications in the workplace, which should ...[more]

PMID: 31412839

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Project description:BackgroundPoor psychosocial work conditions are known to foster negative health consequences. While the existing literature on this topic focus mainly on white-collar workers, the influence of different aspects of the psychosocial work environment in physically demanding jobs remain understudied. Likewise, senior workers represent a population of the workforce at increased risk of adverse health outcomes and premature exit from the labour market. This study investigates the association between psychosocial work factors and perceived stress among the senior work force.MethodsUtilizing cross-sectional findings, this study reports associations between psychosocial factors (organizational justice, cooperation and collegial support, decision latitude, clarity of tasks, and quality of leadership) and the outcome of perceived stress quantified by Cohen's Perceived Stress Scale (CPSS). Currently employed senior workers with physically demanding jobs were included in the analyses (n = 3386). Associations were modeled using general linear models with weights to make the estimates representative.ResultsFor all individually adjusted psychosocial variables, the category of "good" was consistently associated with lower stress scores compared to the categories of both "moderate" and "poor" (all p < 0.0001). Likewise, in the mutually adjusted analysis, the category of "good" was statistically different from "poor" for all included variables, while the category of "moderate" remained different from "poor" for "clarity of tasks", "cooperation and collegial support", and "decision latitude".ConclusionsAmong senior workers with physically demanding jobs, poor ratings of organizational factors related to the psychosocial work environment are consistently associated with high stress scores. Blue-collar occupations focusing primarily on physical risk factors are recommended to increase awareness on psychosocial aspects that may be relevant to the local work environment.

Project description:BACKGROUND:Morbidity before retirement has a huge cost, burdening both public health and workplace finances. Multiple factors increase morbidity such as stress at work, sedentary behavior or low physical activity, and poor nutrition practices. Nowadays, the digital world offers infinite opportunities to interact with workers. The WittyFit software was designed to understand holistic issues of workers by promoting individualized behavior changes at the workplace. OBJECTIVE:The shorter term feasibility objective is to demonstrate that effective use of WittyFit will increase well-being and improve health-related behaviors. The mid-term objective is to demonstrate that WittyFit improves economic data of the companies such as productivity and benefits. The ultimate objective is to increase life expectancy of workers. METHODS:This is an exploratory interventional cohort study in an ecological situation. Three groups of participants will be purposefully sampled: employees, middle managers, and executive managers. Four levels of engagement are planned for employees: commencing with baseline health profiling from validated questionnaires; individualized feedback based on evidence-based medicine; support for behavioral change; and formal evaluation of changes in knowledge, practices, and health outcomes over time. Middle managers will also receive anonymous feedback on problems encountered by employees, and executive top managers will have indicators by division, location, department, age, seniority, gender and occupational position. Managers will be able to introduce specific initiatives in the workplace. WittyFit is based on two databases: behavioral data (WittyFit) and medical data (WittyFit Research). Statistical analyses will incorporate morbidity and well-being data. When a worker leaves a workplace, the company documents one of three major explanations: retirement, relocation to another company, or premature death. Therefore, WittyFit will have the ability to include mortality as an outcome. WittyFit will evolve with the waves of connected objects further increasing its data accuracy. Ethical approval was obtained from the ethics committee of the University Hospital of Clermont-Ferrand, France. RESULTS:WittyFit recruitment and enrollment started in January 2016. First publications are expected to be available at the beginning of 2017. CONCLUSIONS:The name WittyFit came from Witty and Fitness. The concept of WittyFit reflects the concept of health from the World Health Organization: being spiritually and physically healthy. WittyFit is a health-monitoring, health-promoting tool that may improve the health of workers and health of companies. WittyFit will evolve with the waves of connected objects further increasing its data accuracy with objective measures. WittyFit may constitute a powerful epidemiological database. Finally, the WittyFit concept may extend healthy living into the general population. TRIAL REGISTRATION:Clinicaltrials.gov: NCT02596737; https://www.clinicaltrials.gov/ct2/show/NCT02596737 (Archived by WebCite at http://www.webcitation.org/6pM5toQ7Y).

Project description:BackgroundWorkplace health programs (WHPs) may improve adult health but very little evidence exists on multi-level WHPs implemented at-scale and so the relationship between program implementation factors and outcomes of WHPs are poorly understood. This study evaluated Get Healthy at Work (GHaW), a state-wide government-funded WHP in Australia.MethodsA mixed-method design included a longitudinal quasi-experimental survey of businesses registered with GHaW and a comparison group of businesses surveyed over a 12-month period. Semi-structured interviews and focus groups with key contacts and employees of selected intervention group businesses and the service providers of the program were conducted to assess program adoption and adaptation.ResultsPositive business-level changes in workplace culture were observed over time among GHaW businesses compared with the control group. Multilevel regression modelling revealed perceptions that employees were generally healthy (p = 0.045 timeXgroup effect) and that the workplace promoted healthy behaviours (p = 0.004 timeXgroup effect) improved significantly while the control group reported no change in work culture perceptions. Changes in perceptions about work productivity were not observed; however only one third of businesses registered for the program had adopted GHaW during the evaluation period. Qualitative results revealed a number of factors contributing to program adoption: which depended on program delivery (e.g., logistics, technology and communication channels), design features of the program, and organisational factors (primarily business size and previous experience of WHPs).ConclusionsEvaluation of program factors is important to improve program delivery and uptake and to ensure greater scalability. GHaW has the potential to improve workplace health culture, which may lead to better health promoting work environments. These results imply that government can play a central role in enabling prioritisation and incentivising health promotion in the workplace.

Dataset Information

Implementing sensor technology applications for workplace health promotion: a needs assessment among workers with physically demanding work.

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Implementing sensor technology applications for workplace health promotion: a needs assessment among workers with physically demanding work.

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