VARIABLES RELATED TO POWER OF HOSPITAL CHIEF NURSING OFFICERS (NURSE EXECUTIVES).
Contributors: State University of New York at Buffalo.
Published: 1993
Number of pages: 242
Subjects: Health Sciences, Nursing.; Women's Studies.; Health Sciences, Health Care Management.
Description: The nursing literature reflects an interest in the power and influence of nurse executives (Hendricks, 1982); (Johnson, 1989). French & Raven (1959), Kanter (1977) & Pfeffer (1992) identified sources of power for organizational players such as formal position attributes, informal attributes, and power enhancing activities.

This descriptive study describes selected variables that influence the power of the chief nursing officer (CNO) in hospitals. Information was obtained about variables that have been identified as potential sources of CNO power. These variables were CNO demographic variables, characteristics of CNOs developed within the organization, characteristics of the CNO's supervisor, CNO performance characteristics and characteristics of the CNO's hospital. The CNO power was measured by the Power Assessment Inventory (PAI) developed by Johnson (1989). The questionnaire was mailed to 1500 randomly selected CNOs throughout the U.S. The sample consisted of 728 chief nursing officers from acute care hospitals in 40 states.

The twenty independent variables of the study were; age, gender, education, administrative experience, tenure in position, promotion from within organization, selection by present CEO, shared demographic characteristics with other hospital executives, CNO's immediate supervisor, similarity in gender between CNO and immediate supervisor, similarity in age between CNO and immediate supervisor, education of CNO's immediate supervisor, hospital size, hospital teaching affiliation, hospital free standing status, hospital ownership, R.N. vacancy rate, R.N. turnover rate, JCAHO deficiencies in areas of CNO responsibility and CNO two-way communication with subordinates.

The dependent variable, power, was measured by the PAI tool. The effect of the independent variables on the dependent variable was measured using one way analysis of variance and regression analysis. Thirteen independent variables were demonstrated to be statistically significant. Of the significant variables, six (hospital size, CNO immediate supervisor, highest education of CNO, CNO's immediate supervisor's education, CNO administrative experience and CNO's promotion from outside) explained 20.4% of variance in PAI scores. The findings of this study were used to develop a model to explain sources of power associated with power of hospital CNOs.
Notes: Source: Dissertation Abstracts International, Volume: 54-06, Section: B, page: 2999.

Thesis (D.N.S.)--STATE UNIVERSITY OF NEW YORK AT BUFFALO, 1993.

School code: 0656.