A scoping review of complexity science in nursing

Abstract

Aim: To describe how complexity science has been integrated into nursing. Design: A scoping review. Data source/review method: Academic Search Elite, Scopus, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, PubMed and Web of Science were searched November 2016, updated in October 2017 and January 2020. The working process included: problem identification, literature search, data evaluation, synthesizing and presentation. Results: Four categories were found in the included 89 articles: (a) how complexity science is integrated into the nursing literature in relation to nursing education and teaching; (b) patients' symptoms, illness outcome and safety as characteristics of complexity science in nursing; (c) that leaders and managers should see organizations as complex and adaptive systems, rather than as linear machines; and (d) the need for a novel approach to studying complex phenomena such as healthcare organizations. Lastly, the literature explains how complexity science has been incorporated into the discourse in nursing and its development. Conclusion: The review provided strong support for use in complexity science in the contemporary nursing literature. Complexity science is also highly applicable and relevant to clinical nursing practice and nursing management from an organizational perspective. The application of complexity science as a tool in the analysis of complex nursing systems could improve our understanding of effective interactions among patients, families, physicians and hospital and skilled nursing facility staff as well as of education. Impact: Understanding complexity science in relation to the key role of nurses in the healthcare environment can improve nursing work and nursing theory development. The use of complexity science provides nurses with a language that liberates them from the reductionist view on nursing education, practice and management.