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Determining optimal span of control for acute care hospital nurse managers

Author: Theresa M Murphy
Publisher: [Long Beach, California] : California State University, Long Beach, 2011.
Dissertation: M.S. California State University, Long Beach 2011
Series: California State University, Long Beach.; Master's thesis collection, Dept. of Health Care Administration.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation   Computer File : English
Summary:
Abstract: Determining the optimal span of control for managers in healthcare has challenged administrators. Span of control can affect the outcomes of defined operational objectives. While the division of work is not a new concept, studies aimed at understanding how specific factors impact the effectiveness of a span of control is limited within the healthcare literature. This study found no optimal span of control  Read more...
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Details

Genre/Form: Academic theses
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Book, Computer File, Internet Resource
All Authors / Contributors: Theresa M Murphy
ISBN: 9781124550145 1124550143
OCLC Number: 1056959823
Description: v, 52 leaves
Series Title: California State University, Long Beach.; Master's thesis collection, Dept. of Health Care Administration.
Responsibility: by Theresa M. Murphy.

Abstract:

Abstract: Determining the optimal span of control for managers in healthcare has challenged administrators. Span of control can affect the outcomes of defined operational objectives. While the division of work is not a new concept, studies aimed at understanding how specific factors impact the effectiveness of a span of control is limited within the healthcare literature. This study found no optimal span of control for nurse managers and regression studies did not result in any clear model of factors that could best predict an optimal span. However, some factors were perceived as having more impact than others, including hours of work, unit complexity and attention to risk and quality. The results of some analysis including the impact of volume of staff failed to reject the null hypothesis. Additional work is needed on the factors that cause a perception of ineffectiveness including the effect of support help.

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