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.^

Assessing the impact of electronic health record technology adoption on hospital labor efficiency

Information technology (IT) in the hospital organization is fast becoming a key asset, particularly in light of recent reform legislation in the United States calling for expanding the role of IT in our health care system. Future payment reductions to hospitals included in current health reform are based on expected improvements in hospital operating efficiency. Since over half of hospital expenses are for labor, improved efficiency in use of labor resources can be critical in meeting this challenge. Policy makers have touted the value of IT investments to improve efficiency in response to payment reductions. ^ This study was the first to directly examine the relationship between electronic health record (EHR) technology and staffing efficiency in hospitals. As the hospital has a myriad of outputs for inpatient and outpatient care, efficiency was measured using an industry standard performance metric – full time equivalent employees per adjusted occupied bed (FTE/AOB). Three hypotheses were tested in this study.^ To operationalize EHR technology adoption, we developed three constructs to model adoption, each of which was tested by separate hypotheses. The first hypothesis that a larger number of EHR applications used by a hospital would be associated with greater staffing efficiency (or lower values of FTE/AOB) was not accepted. Association between staffing efficiency and specific EHR applications was the second hypothesis tested and accepted with some applications showing significant impacts on observed values for FTE/AOB. Finally, the hypothesis that the longer an EHR application was used in a hospital would be associated with greater labor efficiency was not accepted as the model showed few statistically significant relationships to FTE/AOB performance. Generally, there does not appear a strong relationship between EHR usage and improved labor efficiency in hospitals.^ While returns on investment from EHR usage may not come from labor efficiencies, they may be better sought using measures of quality, contribution to an efficient and effective local health care system, and improved customer satisfaction through greater patient throughput.^