Communication, social capital and workplace health management as determinants of the innovative climate in German banks

The present study aims to measure the determinants of the innovative climate in German banks with a focus on workplace health management (WHM). We analyze the determinants of innovative climate with multiple regressions using a dataset based on standardized telephone interviews conducted with health promotion experts from 198 randomly selected German banks. The regression analysis provided a good explanation of the variance in the dependent variable (RA(2)A = 55%). Communication climate (beta = 0.55; p < 0.001), social capital (beta = 0.21; p < 0.01), the establishment of a WHM program (beta = 0.13; p < 0.05) as well as company size (beta = 0.15; p < 0.01) were found to have a significant impact on an organization's innovative climate. In order to foster an innovation-friendly climate, organizations should establish shared values. An active step in this direction involves strengthening the organizations' social capital and communication climate through trustworthy management decisions such as the implementation of a WHM program

The Worksite Health Promotion Capacity Instrument (WHPCI): development, validation and approaches for determining companies' levels of health promotion capacity

<p>Abstract</p> <p>Background</p> <p>The Worksite Health Promotion Capacity Instrument (WHPCI) was developed to assess two key factors for effective worksite health promotion: collective willingness and the systematic implementation of health promotion activities in companies. This study evaluates the diagnostic qualities of the WHPCI based on its subscales Health Promotion Willingness and Health Promotion Management, which can be used to place companies into four different categories based on their level of health promotion capacity.</p> <p>Methods</p> <p>Psychometric evaluation was conducted using exploratory factor and reliability analyses with data taken from a random sample of managers from n = 522 German information and communication technology (ICT) companies. Receiver operating characteristic (ROC) analyses were conducted to determine further diagnostic qualities of the instrument and to establish the cut-off scores used to determine each company's level of health promotion capacity.</p> <p>Results</p> <p>The instrument's subscales, Health Promotion Willingness and Health Promotion Management, are based on one-dimensional constructs, each with very good reliability (Cronbach's alpha = 0.83/0.91). ROC analyses demonstrated satisfactory diagnostic accuracy with an area under the curve (AUC) of 0.76 (SE = 0.021; 95% CI 0.72-0.80) for the Health Promotion Willingness scale and 0.81 (SE = 0.021; 95% CI 0.77-0.86) for the Health Promotion Management scale. A cut-off score with good sensitivity (71%/76%) and specificity (69%/75%) was determined for each scale. Both scales were found to have good predictive power and exhibited good efficiency.</p> <p>Conclusions</p> <p>Our findings indicate preliminary evidence for the validity and reliability of both subscales of the WHPCI. The goodness of each cut-off score suggests that the scales are appropriate for determining companies' levels of health promotion capacity. Support in implementing (systematic) worksite health promotion can then be tailored to each company's needs based on their current capacity level.</p

Team Sport in the Workplace? A RE-AIM Process Evaluation of ‘Changing the Game’

Background: The workplace is a priority setting to promote health. Team sports can be an effective way to promote both physical and social health. This study evaluated the potential enablers and barriers for outcomes of a workplace team sports intervention programme‘Changing the Game’ (CTG). This study was conducted in a FTSE 100 services organisation. This process evaluation was conducted using the RE-AIM framework. Methods: A mixed methods approach was used. Data were collected from the participants in the intervention group prior to, during and at the end of the intervention using interviews (n = 12), a focus group (n = 5), and questionnaires (n = 17). Organisational documentation was collected, and a research diary was recorded by the lead author. The evidence collected was triangulated to examine the reach, efficacy, adoption, implementation and maintenance of the programme. Data was assessed through template analysis, and questionnaire data were analysed using multiple regression and a series of univariate ANOVAs. Results: CTG improved VO2 Max, interpersonal communication, and physical activity behaviour (efficacy) over 12-weeks. This may be attributed to the supportive approach adopted within the design and delivery of the programme (implementation). Individual and organisational factors challenged the adoption and maintenance of the intervention. The recruitment and communication strategy limited the number of employees the programme could reach. Conclusion: The process evaluation suggests addressing the culture within workplaces may better support the reach, adoption and maintenance of workplace team sport programmes. Future research should consider investigating and applying these findings across a range of industries and sectors

Occupational Injury in America: an analysis of risk factors using data from the

Introduction: Although much is known about the distribution of occupational injury in terms of various job and employment factors, considerably less is known about other possible risk factors, particularly those involving psychosocial and organizational factors. These factors have not been emphasized in most injury surveillance systems or large scale, population based surveys. Method: In this study, data from the 2002 General Social Survey (GSS) and NIOSH Quality of Work Life (QWL) module were used to examine the risk of occupational injury in terms of socio-demographic factors, employment characteristics, and organizational factors. Results: The most informative results were obtained from Poisson regression analyses, which identified race, occupational category, and work-family interference as risk factors, and safety climate and organizational effectiveness as protective factors for occupational injury. These results provide guidance for targeting interventions and protective measures to curtail occupational injury in the United States