Due to increasing digitalisation, today’s working world is changing rapidly and provides managers with new challenges. Digital leadership is an important factor in managing these challenges and has become a key concept in the discussion about what kinds of skills managers need for digital transformation. The main research question our study explored was if digital leadership is associated with psychological well-being in upper-level managers. Based on a qualitative pilot study and relevant literature, we developed a new scale for digital leadership in managers. We conducted an online survey with a sample of 368 upper-level managers from a large German ICT-company. Using a stepwise logistic regression analysis, potential effects of digital leadership on psychological well-being (WHO-5) were analysed. Logistic regression analyses showed that better skills in digital leadership were significantly associated with higher well-being. Results also showed that gender, age and managerial experience had no effect in our model. Our study provides a valuable insight into the association between digital leadership and well-being in managers. However, further research is necessary to validate the newly developed scale for digital leadership and to confirm a causal effect in the relationship between digital leadership and well-being.

Due to the current digital transition, companies are under pressure to pursue digitalization and often initiate far-reaching transformation processes. As a result, managers must drive change within a company and are involved in important decision-making processes. In the present study, we focused on two cognitive job demands in managers related to change due to digital transformation: perceived choice overload and pressure from digitalization. We assumed that the extent of challenging cognitive demands at work is rising and negatively influencing managers’ psychological well-being. We conducted an online survey with a sample of 368 upper-level managers from a large ICT-company, where, at the time of the study, extensive transformation processes were taking place. Using multivariate regression analysis, potential prognostic effects on well-being were tested. Results showed that lower well-being was significantly associated with higher choice overload, but not with perceived pressure from digitalization. In our explorative study, we investigated two potential job demands in managers that, to our knowledge, have not yet been scientifically tested. Given the unsettled state of the field, it is important to try to further understand when choice overload and pressure from digitalization occur and when these may trigger negative health consequences.

ObjectivesNurses are generally found to be vulnerable to burnout, but nurses working in cancer care are even more so, since this profession is characterised by continuous confrontation with suffering and death. This study was designed to identify cut-off scores for job strain, that is, low job control and high job demands, for a sample of nurses working in breast cancer care. The main goal was to find cut-off scores, which predict the risk of nurses of developing a mental disorder from high job strain.DesignThe design was a cross-sectional survey study.SettingThe study is based on an employee survey in breast cancer centres in Germany.Participants688 nurses received a questionnaire; 329 nurses from 33 hospitals participated in the survey (return rate: 50.2%).Primary and secondary outcome measuresDependent variable: psychological well-being, measured by the WHO-5 Well-being Index; independent variables: job control and job demands, measured by the Job Content Questionnaire (JCQ).ResultsMultivariable analysis indicates that low job control and high job demands are prognostic factors for low well-being. In a receiver operating curve (ROC) analysis, the cut-off scores, which demonstrated a maximum Youden index, were 34.5 for job control and 31.4 for job demands. The combination of both scales from a logistic regression analysis resulted in an area under the curve of 0.778. Sensitivity and specificity are 70.3% and 74.2%, respectively. The total of correct classification was 63.3%.ConclusionThe determined cut-off scores indicate that there is a risk of becoming psychologically ill from a high workload when an individual reaches a score of ≤34.5 for job control and ≥31.4 for job demands. The described method of establishing risk-based cut-off scores is promising for nursing practice and for the field of occupational health. Transferability and generalisability of the cut-off scores should be further analysed.

Background: Randomized controlled trials (RCTs) are regarded as the most internally valid means of estimating the effectiveness of complex public health interventions, but the recruitment of participants can be difficult. The aim of this study was to explore factors that may have affected the recruitment of employees with musculoskeletal disorders (MSDs) to a multicenter worksite health promotion program from the perspective of recruiting case managers. Methods: Factors in recruitment to the RCT were explored using three focus group discussions with case managers. Data were processed using MAXQDA and analyzed with a combination of content and sequence analysis. Results: Findings showed that randomization is a major challenge for recruitment. Case managers adapted their communication with, and approaches to possible participants because of the randomization design and employed coping strategies to compensate for allocation into the control arm of the study. Perceptions of the superiority of the intervention group over the control group, perceptions of the (mis)match of participants to one of the groups, as well as the understanding of the necessity of randomization for effectiveness evaluations, further affected recruitment. Perceived expectations of possible participants and their (emotional) reactions to the randomization allocation also complicated recruitment. Conclusion: We were able to gain insight into the challenges of randomization for the recruitment of participants to a multicenter RCT. This study assisted the development of strategies to overcome barriers in the ongoing implementation process of the trial (i.e., the adaption of best practice information sheets and newsletters). There remains a need to develop effective interventions to help those recruiting to trials.

Musculoskeletal disorders (MSDs) are among the most common cause for reduced work capacity and sick leave. Workplace health promotion programs are often neither tailored to the workplace nor the individual needs of the employees. To counteract lacking intersectional care, this four-year randomized controlled trial (RCT) aimed to investigate the effects of modular coordinating case management (treatment group) compared to supported self-management (control group) on MSD specific sick leave days (routine data), workability (WAI), self-efficacy (self-efficacy scale), and pain (German pain questionnaire, GPQ). The study network comprised 22 companies, 15 company health insurance funds, and 12 pension funds in Germany. Overall, 852 participants (Module A/early intervention: n = 651, Module B/rehabilitation: n = 190, Module C/reintegration: n = 10) participated. Both groups achieved fewer sick leave days, higher workability, and less pain (p < 0.0001) at follow-up compared to baseline. At follow-up, the coordinating case management group showed fewer disability days (GPQ), lower disability scores (GPQ), and lower pain intensities (GPQ) than the supported self-management group (p < 0.05), but no superiority regarding MSD specific sick leave days, workability, nor self-efficacy. Module A showed more comprehensive differences. The accompanying process evaluation shows barriers and facilitators for the implementation of the program, especially in a RCT setting.