Improving Care for Older Adults with Multiple Needs: The Value of Complexity Science

This paper 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 paper 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 co-created and co-managed 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 promises to improve the quality and the effectiveness of the care of other older populations that need multiple forms of care.

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Publication Details

Journal
The Gerontologist
Published
2026-04-14
DOI
https://doi.org/10.1093/geront/gnag049
Primary Topic
Interprofessional Education and Collaboration
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving Care for Older Adults with Multiple Needs: The Value of Complexity Science

Brenda Reiss-Brennan, Stephen M. Shortell, Chad Boult, Nick Goodwin et al.
The Gerontologist
Interprofessional Education and Collaboration
article

Improving Care for Older Adults with Multiple Needs: The Value of Complexity Science

Brenda Reiss-Brennan, Stephen M. Shortell, Chad Boult, Nick Goodwin, Áine M. Carroll, Jason Chin Huat Yap
article en

Abstract

This paper 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 paper 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 co-created and co-managed 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 promises to improve the quality and the effectiveness of the care of other older populations that need multiple forms of care.

The Gerontologist
University College Dublin (IE), Intermountain Healthcare (US), Johns Hopkins University (US), Berkeley Public Health Division (US), National University Health System (SG), University of California, Berkeley (US)
Openalex Percentile: Top 16%
Interprofessional Education and Collaboration
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