Improving care for older adults with multiple needs: the value of complexity science

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Authors: Brenda Reiss-Brennan, Stephen M. Shortell, Nick Goodwin, Áine Carroll, Chad Boult, Jason Chin Huat Yap
Cited by: 4
References: 36

Abstract

This article describes how two complementary theories from complexity science can guide the successful design and implementation of integrated systems of health and social care for older adults who need multiple forms of care. Specifically, it describes two related theories: "complex adaptive systems" (CAS) theory and "relational network theory" (RNT), which provide overlapping frameworks for understanding the structure and dynamic function of care systems and their components. The article begins by showing how these theories can guide the integration of the structures, people, and processes that provide care to older adults with multiple care needs. Then, to illustrate their application, it describes the early years of the All-Inclusive Care for Older Adults ("ALICE") program, which has cocreated and comanaged an evolving health and social care system for an aging population in New South Wales, Australia. As other populations of older adults around the world expand, such effective integration of multi-faceted care will be necessary to optimize their well-being and quality of life. Future applications of CAS and RNT to the design and implementation of integrated health and social care promise to improve the quality and the effectiveness of the care of other older populations that need multiple forms of care.

Fields of Study & Subjects

Interprofessional Education and Collaboration Chronic Disease Management Strategies Health disparities and outcomes

Publication details

Journal / source
The Gerontologist
Publisher
Oxford University Press (OUP)
Volume
66
Issue
6
Publication date
14 April 2026
Language
EN