Background The global nursing shortages exacerbated by the COVID-19 pandemic necessitated a drastic reorganization in nursing practices. Work routines, the composition of teams and subsequently mundane nursing practices were all altered to sustain the accessibility and quality of care. These dramatic changes demanded a reshaping of the nurses’ work environment. The aim of this study was to explore how nurses reshaped their work environment in the early stages of the COVID-19 pandemic. Methods A descriptive study comprising 26 semi-structured interviews conducted in a large Dutch teaching hospital between June and September 2020. Participants were nurses (including intensive care unit nurses), outpatient clinic assistants, nurse managers, and management (including one member of the Nurse Practice Council). The interviews were analysed with open, axial, and selective coding. Results We identified five themes: 1) the Nursing Staff Deployment Plan created new micro-teams with complementary roles to meet the care needs of COVID-19 infected patients; 2) nurse-led adaptations effectively managed the increased workload, thereby ensuring the quality of care; 3) continuous professional development ensured adequate competence levels for all roles; 4) interprofessional collaboration resulted in experienced solidarity, a positive atmosphere, and increased autonomy for nurses; and, 5) supportive managers reduced nurses’ stress and improved work conditions. Conclusions This study showed that nurses positively reshaped their work environment during the COVID-19 pandemic. They contributed to innovative solutions in an environment of equal interprofessional collaboration, which led to greater respect for their knowledge and competencies, enhanced their autonomy and improved management support.
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Background The global nursing shortages exacerbated by the COVID-19 pandemic necessitated a drastic reorganization in nursing practices. Work routines, the composition of teams and subsequently mundane nursing practices were all altered to sustain the accessibility and quality of care. These dramatic changes demanded a reshaping of the nurses’ work environment. The aim of this study was to explore how nurses reshaped their work environment in the early stages of the COVID-19 pandemic. Methods A descriptive study comprising 26 semi-structured interviews conducted in a large Dutch teaching hospital between June and September 2020. Participants were nurses (including intensive care unit nurses), outpatient clinic assistants, nurse managers, and management (including one member of the Nurse Practice Council). The interviews were analysed with open, axial, and selective coding. Results We identified five themes: 1) the Nursing Staff Deployment Plan created new micro-teams with complementary roles to meet the care needs of COVID-19 infected patients; 2) nurse-led adaptations effectively managed the increased workload, thereby ensuring the quality of care; 3) continuous professional development ensured adequate competence levels for all roles; 4) interprofessional collaboration resulted in experienced solidarity, a positive atmosphere, and increased autonomy for nurses; and, 5) supportive managers reduced nurses’ stress and improved work conditions. Conclusions This study showed that nurses positively reshaped their work environment during the COVID-19 pandemic. They contributed to innovative solutions in an environment of equal interprofessional collaboration, which led to greater respect for their knowledge and competencies, enhanced their autonomy and improved management support.
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Proper decision-making is one of the most important capabilities of an organization. Therefore, it is important to have a clear understanding and overview of the decisions an organization makes. A means to understanding and modeling decisions is the Decision Model and Notation (DMN) standard published by the Object Management Group in 2015. In this standard, it is possible to design and specify how a decision should be taken. However, DMN lacks elements to specify the actors that fulfil different roles in the decision-making process as well as not taking into account the autonomy of machines. In this paper, we re-address and-present our earlier work [1] that focuses on the construction of a framework that takes into account different roles in the decision-making process, and also includes the extent of the autonomy when machines are involved in the decision-making processes. Yet, we extended our previous research with more detailed discussion of the related literature, running cases, and results, which provides a grounded basis from which further research on the governance of (semi) automated decision-making can be conducted. The contributions of this paper are twofold; 1) a framework that combines both autonomy and separation of concerns aspects for decision-making in practice while 2) the proposed theory forms a grounded argument to enrich the current DMN standard.
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