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Studying the clinical encounter with the Adaptive Leadership framework

Overview of attention for article published in Journal of Healthcare Leadership, August 2012
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Title
Studying the clinical encounter with the Adaptive Leadership framework
Published in
Journal of Healthcare Leadership, August 2012
DOI 10.2147/jhl.s32686
Pubmed ID
Authors

Donald Bailey, Docherty, Adams, Carthron, Corazzini, Day, Neglia, Marcus Thygeson, Ruth Anderson

Abstract

In this paper we discuss the concept of leadership as a personal capability, not contingent on one's position in a hierarchy. This type of leadership allows us to reframe both the care-giving and organizational roles of nurses and other front-line clinical staff. Little research has been done to explore what leadership means at the point of care, particularly in reference to the relationship between health care practitioners and patients and their family caregivers. The Adaptive Leadership framework, based on complexity science theory, provides a useful lens to explore practitioners' leadership behaviors at the point of care. This framework proposes that there are two broad categories of challenges that patients face: technical and adaptive. Whereas technical challenges are addressed with technical solutions that are delivered by practitioners, adaptive challenges require the patient (or family member) to adjust to a new situation and to do the work of adapting, learning, and behavior change. Adaptive leadership is the work that practitioners do to mobilize and support patients to do the adaptive work. The purpose of this paper is to describe this framework and demonstrate its application to nursing research. We demonstrate the framework's utility with five exemplars of nursing research problems that range from the individual to the system levels. The framework has the potential to guide researchers to ask new questions and to gain new insights into how practitioners interact with patients at the point of care to increase the patient's ability to tackle challenging problems and improve their own health care outcomes. It is a potentially powerful framework for developing and testing a new generation of interventions to address complex issues by harnessing and learning about the adaptive capabilities of patients within their life contexts.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 24%
Student > Ph. D. Student 13 19%
Researcher 9 13%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Other 12 17%
Unknown 9 13%
Readers by discipline Count As %
Nursing and Health Professions 15 21%
Medicine and Dentistry 14 20%
Social Sciences 11 16%
Business, Management and Accounting 9 13%
Arts and Humanities 3 4%
Other 8 11%
Unknown 10 14%