Assessing the impact of leadership on nurse job satisfaction and the desire for unionization in health care settings

This dissertation focuses on the leadership styles of managers, the impact these leadership styles have on the job satisfaction of staff nurses, and the proclivity of nurses to consider unionization. The aims of the dissertation include conducting a literature review on topics of leadership style, job satisfaction, and unionization; identifying and elucidating pertinent constructs with respect to shared interrelationships and how they could be measured; and developing a means of assessing if and to what extent transformational and transactional leadership styles affect nurse proclivity to unionize.^ The instrumentation selected includes the Multifactor Leadership Survey, Job Satisfaction Survey, and a newly created Union Preference Survey. Each survey instrument was evaluated as to its appropriateness to administer at a non-consultant level within a health care facility. Options other than self-administering the survey instruments include online access for participants, which provides confidentiality and encourages more responses. ^ The next part of the dissertation is a plan for health care facilities to use the survey tool by administering it themselves. The plan provides a general description of the survey tool, administering the instrument, rating the instrument, and leadership development. Integration of the three surveys is presented in a non-statistical format by coordinating the results of the three survey instrument responses. Recommendations are presented on how to improve leadership development warranted for improvement.^ The conclusions reached are that nurses’ preference for unions is influenced by the leadership style of direct report managers, as rated by staff nurses, and the nurses’ job satisfaction, which is in turn in part dependent on their managers’ leadership style. Thus, changes in leadership style can have a profound impact on nurse job satisfaction and on nurses’ preference for unionization.^

UNDERSTANDING NURSE CREATED COGNITIVE ARTIFACTS: PERSONALLY-CREATED-COGNITIVE-ARTIFACTS AS EXTERNAL REPRESENTATIONS OF DISTRIBUTED COGNITION

Manuscript 1: “Conceptual Analysis: Externalizing Nursing Knowledge” We use concept analysis to establish that the report tool nurses prepare, carry, reference, amend, and use as a temporary data repository are examples of cognitive artifacts. This tool, integrally woven throughout the work and practice of nurses, is important to cognition and clinical decision-making. Establishing the tool as a cognitive artifact will support new dimensions of study. Such studies can characterize how this report tool supports cognition, internal representation of knowledge and skills, and external representation of knowledge of the nurse. Manuscript 2: “Research Methods: Exploring Cognitive Work” The purpose of this paper is to describe a complex, cross-sectional, multi-method approach to study of personal cognitive artifacts in the clinical environment. The complex data arrays present in these cognitive artifacts warrant the use of multiple methods of data collection. Use of a less robust research design may result in an incomplete understanding of the meaning, value, content, and relationships between personal cognitive artifacts in the clinical environment and the cognitive work of the user. Manuscript 3: “Making the Cognitive Work of Registered Nurses Visible” Purpose: Knowledge representations and structures are created and used by registered nurses to guide patient care. Understanding is limited regarding how these knowledge representations, or cognitive artifacts, contribute to working memory, prioritization, organization, cognition, and decision-making. The purpose of this study was to identify and characterize the role a specific cognitive artifact knowledge representation and structure as it contributed to the cognitive work of the registered nurse. Methods: Data collection was completed, using qualitative research methods, by shadowing and interviewing 25 registered nurses. Data analysis employed triangulation and iterative analytic processes. Results: Nurse cognitive artifacts support recall, data evaluation, decision-making, organization, and prioritization. These cognitive artifacts demonstrated spatial, longitudinal, chronologic, visual, and personal cues to support the cognitive work of nurses. Conclusions: Nurse cognitive artifacts are an important adjunct to the cognitive work of nurses, and directly support patient care. Nurses need to be able to configure their cognitive artifact in ways that are meaningful and support their internal knowledge representations.