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Updated: Mar 7, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Complex adaptive systems and their relevance for nursing: An evolutionary concept analysis.

Ippolito Notarnicola^1,2, Cristina Petrucci¹, Maria Rosimar De Jesus Barbosa^1,2

¹Department of Health, Life and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.

International Journal of Nursing Practice

|February 9, 2017

Summary

Complex adaptive systems are information-processing entities that evolve and adapt to their environment. This study clarifies their attributes, demonstrating nursing as a prime example of such a system.

Keywords:

chaos complex adaptive systems complexity theory concept analysis nursing

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Last Updated: Mar 7, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Area of Science:

Complexity Science
Systems Theory
Nursing Science

Background:

The concept of complex adaptive systems (CAS) lacks clear definition in scientific literature.
A shared understanding of CAS is crucial for advancing research and practice.
Existing literature presents a nebulous view of CAS attributes, antecedents, and consequences.

Purpose of the Study:

To conduct a concept analysis of complex adaptive systems using Rodgers' evolutionary method.
To clarify the attributes, antecedents, and consequences of CAS.
To identify surrogates, related terms, and a pattern recognition scheme for CAS.

Main Methods:

Bibliographic search from 2005 to 2015 across major databases (PubMed, CINAHL, Scopus, Web of Science, Academic Search Premier).
Critical analysis of retrieved papers to explore CAS characteristics.
Application of Rodgers' evolutionary concept analysis method.

Main Results:

Complex adaptive systems possess information-processing capabilities and adaptively evolve.
Key attributes include adaptability, information processing, and evolution.
Nursing practice exemplifies a complex adaptive system, exhibiting CAS characteristics.

Conclusions:

Clarification of the complex adaptive systems concept enhances shared knowledge.
Understanding CAS offers novel perspectives on nursing profession mechanisms.
Complexity science provides valuable frameworks for analyzing and understanding nursing.