ABSTRACT
Introduction: Job satisfaction has a strong impact on the intention to stay which is an important aspect to counter skills shortage in academic medicine. The purpose of the three studies reported here is to find out what specific factors are relevant for the intention to stay and turnover intention of physicians in academic medicine -and what measures might have a positive impact on employee retention. Methods: In an interview study combining qualitative and quantitative methods, we investigated how the individual mental representation of working conditions influences job satisfaction and its impact on the intention to stay. In total, 178 physicians from German university hospitals, residents, and physicians, in 15 departments of anesthesiology were interviewed and surveyed. In a first study, chief physicians participated in interviews about job satisfaction in academic hospitals. Answers were segmented into statements, ordered by topics, and rated according to their valence. In a second study, assistant physicians during and after their training period talked about strengths, weaknesses, and potential improvements of working conditions. Answers were segmented, ordered, rated, and used to develop a "satisfaction scale." In a third study, physicians participated in a computer-led repertory grid procedure composing 'mental maps' of job satisfaction factors, filled in the job satisfaction scale and rated if they would recommend work and training in their clinic as well as their intention to stay. Results: Comparing the interview results with recommendation rates and intention to stay show that high workload and poor career perspectives are linked to a negative attitude. A positive attitude towards work environment and high intention to stay is based on sufficient personnel and technical capacities, reliable duty scheduling and fair salaries. The third study using repertory grids showed that the perception of current teamwork and future developments concerning work environment were the main aspects to improve job satisfaction and the intention to stay. Discussion: The results of the interview studies were used to develop an array of adaptive improvement measure. The results support prior findings that job dissatisfaction is mostly based on generally known "hygiene factors" and whereas job satisfaction is due to individual aspects.
ABSTRACT
BACKGROUND: Tele-emergency physicians (TEPs) take an increasingly important role in the need-oriented provision of emergency patient care. To improve emergency medicine in rural areas, we set up the project 'Rural|Rescue', which uses TEPs to restructure professional rescue services using information and communication technologies (ICTs) in order to reduce the therapy-free interval. Successful implementation of ICTs relies on user acceptance and knowledge sharing behavior. METHOD: We conducted a factorial design with active knowledge transfer and technology acceptance as a function of work satisfaction (high vs. low), workload (high vs. low) and point in time (prior to vs. after digitalization). Data were collected via machine readable questionnaires issued to 755 persons (411 pre, 344 post), of which 304 or 40.3% of these persons responded (194 pre, 115 post). RESULTS: Technology acceptance was higher after the implementation of TEP for nurses but not for other professions, and it was higher when the workload was high. Regarding active communication and knowledge sharing, employees with low work satisfaction are more likely to share their digital knowledge as compared to employees with high work satisfaction. This is an effect of previous knowledge concerning digitalization: After implementing the new technology, work satisfaction increased for the more experienced employees, but not for the less experienced ones. CONCLUSION: Our research illustrates that employees' workload has an impact on the intention of using digital applications. The higher the workload, the more people are willing to use TEPs. Regarding active knowledge sharing, we see that employees with low work satisfaction are more likely to share their digital knowledge compared to employees with high work satisfaction. This might be attributed to the Dunning-Kruger effect. Highly knowledgeable employees initially feel uncertain about the change, which translates into temporarily lower work satisfaction. They feel the urge to fill even small knowledge gaps, which in return leads to higher work satisfaction. Those responsible need to acknowledge that digital change affects their employees' workflow and work satisfaction. During such times, employees need time and support to gather information and knowledge in order to cope with digitally changed tasks.
