Defining adaptive capacity in healthcare: A new framework for researching resilient performance
Anderson, J. E. ORCID: 0000-0002-1452-8370, Ross, A. J., Macrae, C. & Wiig, S. (2020). Defining adaptive capacity in healthcare: A new framework for researching resilient performance. Applied Ergonomics, 87, article number 103111. doi: 10.1016/j.apergo.2020.103111
Abstract
Resilience principles show promise for improving the quality of healthcare, but there is a need for further theoretical development to include all levels and scales of activity across the whole healthcare system. Many existing models based on engineering concepts do not adequately address the prominence of social, cultural and organisational factors in healthcare work. Promising theoretical developments include the four resilience potentials, the CARE model and the Moments of Resilience Model, but they are all under specified and in need of further elaboration. This paper presents the Integrated Resilience Attributes Framework in which these three theoretical perspectives are integrated to provide examples of anticipating, responding, monitoring and learning at different scales of time and space. The framework is intended to guide researchers in researching resilience, especially the linkages between resilience at different scales of time and space across the whole healthcare system.
Publication Type: | Article |
---|---|
Additional Information: | © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Publisher Keywords: | Resilience potentials,Resilience framework, Multi-level resilience, Resilient healthcare |
Subjects: | H Social Sciences > HD Industries. Land use. Labor R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
Departments: | School of Health & Psychological Sciences > Nursing |
SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (582kB) | Preview
Export
Downloads
Downloads per month over past year