Exact(2)
Chou et al. [ 19] found caregiver satisfaction to be related to workload, team spirit, and professional support.
Chou, Boldy and Lee developed a 5-factor model of staff satisfaction: personal satisfaction, workload, team spirit, training and professional support.
Similar(58)
Several risk factors that can influence clinical practice were described by Vincent's theoretical framework in 1998, including the organization (i.e. safety climate); work environment (i.e. staffing levels and workload); team-; and individual staff (i.e. overconfidence) [ 16].
Effects on nurse workloads, team job satisfaction, and critical care triage should be further analyzed to optimize the treatment of these critically ill patients.
In this research, we employ simultaneous measurement of workload for team members, and use a team average for comparison across workload levels.
In contrast, poor retention or high staff turnover negatively affects health care by increasing workload, undermining team morale, creating disruptions and inefficiencies in work processes, and causing a loss of institutional knowledge [ 3].
The workloads for team members throughout the project can be visualized with effort curves, enabling leaders to create opportunities to address architectural and nonfunctional requirements.
This has become the standard method of allocating and recording workload among teams.
For instance, while more interchangeable roles could help to lessen the workloads of team members, they could also increase the potential for power struggles because the roles of various professions would become less differentiated.
We also argue that while more interchangeable roles could help to lessen the workloads of team members, they could also increase the potential for power struggles because the roles of various professions would become less differentiated.
Finally, high levels of turnover in institutions are known to have a negative impact on the working conditions of remaining staff, by increasing workloads, disrupting team cohesion and decreasing morale, thus creating a "vicious cycle" of turnover that is fuelling the crisis of human resources in health [ 21, 22].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com