Abstract
Healthcare services such as acute care hospitals are confronted with challenges to attract and retain nurses in order provide high quality of care and a safe environment for patients. Currently, the nursing profession is considered as a bottleneck profession. Balance Nursing Teams or BNuT is a software-as-a-service (SAAS) which allows informed strategic, tactical, and operational decision-making by using relevant and available data on nursing teams and their patients. The aim of BNuT is to align team composition (numbers, skill mix, qualifications, and competencies) with components of team capacity, reliability, and efficiency to guarantee desirable team and patient outcomes. This PhD-project will examine how nursing team should be composed and has three research objectives: the relationships between team composition on the one hand and the other key capacity and efficient and reliable performance factors and how do they jointly impact nursing care team outcomes; identify the key parameters within the BNuT database to explain differences in team and patient outcomes and how to utilize knowledge on key concepts and parameters to improve nursing teams over time. The study sample contains 12 acute care hospitals that are using the BNuT system. For each hospital 8 nursing units have been selected such as medical or surgical nursing units, combined medical and surgical nursing units and geriatric nursing units. BNuT implementation started in four hospitals in February 2021. This means the PhD applicant will use the existing dataset together collected data up to October 30th, 2024 to achieve a dataset with a duration of at least two years. To our knowledge, the proposed project's aim is new, innovative and neither studied nor implemented in practice nationally or internationally. Our findings will provide a better insight for decision makers in healthcare organizations as well as policy makers to understand how to put in place resources to achieve desirable outcomes in healthcare. By examining a wide variety of compositional characteristics as well as key team-level context factors using data mining and scenario analyses, we can create a better theoretical understanding of what constitutes an optimal nursing team composition.
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