Skip Navigation LinksHome > September/October 2014 - Volume 28 - Issue 5 > Modeling the Complex Activity of Sickle Cell and Thalassemia...
Clinical Nurse Specialist:
doi: 10.1097/NUR.0000000000000070
Feature Articles

Modeling the Complex Activity of Sickle Cell and Thalassemia Specialist Nurses in England

Leary, Alison PhD; Anionwu, Elizabeth N. PhD

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Abstract

Objective:

Specialist advanced practice nursing in hemoglobinopathies has a rich historical and descriptive literature. Subsequent work has shown that the role is valued by patients and families and also by other professionals. However, there is little empirical research on the complexity of activity of these services in terms of interventions offered. In addition, the work of clinical nurse specialists in England has been devalued through a perception of oversimplification.

Purpose:

The purpose of this study was to understand the complexity of expert nursing practice in sickle cell and thalassemia.

Design:

The approach taken to modeling complexity was used from common methods in mathematical modeling and computational mathematics. Knowledge discovery through data was the underpinning framework used in this study using a priori mined data. This allowed categorization of activity and articulation of complexity.

Result:

In total, 8966 nursing events were captured over 1639 hours from a total of 22.8 whole time equivalents, and several data sources were mined. The work of specialist nurses in this area is complex in terms of the physical and psychosocial care they provide. The nurses also undertook case management activity such as utilizing a very large network of professionals, and others participated in admission avoidance work and education of patients’ families and other staff.

Conclusion:

The work of nurses specializing in hemoglobinopathy care is complex and multidimensional and is likely to contribute to the quality of care in a cost-effective way. An understanding of this complexity can be used as an underpinning to establishing key performance indicators, optimum caseload calculations, and economic evaluation.

Copyright © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins

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