Open AccessUnderstanding social forces involved in diabetes outcomes: a systems science approach to quality-of-life research
Author(s) -
David W. Lounsbury,
Gary B. Hirsch,
Chawntel Vega,
Carolyn E. Schwartz
Publication year - 2013
Publication title -
quality of life research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 145
eISSN - 1573-2649
pISSN - 0962-9343
DOI - 10.1007/s11136-013-0532-4
Subject(s) - causal loop diagram , mindset , psychosocial , quality of life (healthcare) , quality (philosophy) , set (abstract data type) , computer science , behavioural sciences , management science , causal model , psychology , public health , applied psychology , cognitive psychology , data science , risk analysis (engineering) , system dynamics , medicine , artificial intelligence , engineering , psychotherapist , philosophy , nursing , epistemology , pathology , programming language
The field of quality-of-life (QOL) research would benefit from learning about and integrating systems science approaches that model how social forces interact dynamically with health and affect the course of chronic illnesses. Our purpose is to describe the systems science mindset and to illustrate the utility of a system dynamics approach to promoting QOL research in chronic disease, using diabetes as an example.