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Rethinking long‐term condition management: An actor‐level framework
Author(s) -
Vaagan André,
Sandvin Olsson Ann Britt,
Arntzen Cathrine,
By Rise Marit,
Grue Jan,
Haugland Trude,
Langeland Eva,
Stenberg Una,
Koren Solvang Per
Publication year - 2021
Publication title -
sociology of health and illness
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 97
eISSN - 1467-9566
pISSN - 0141-9889
DOI - 10.1111/1467-9566.13228
Subject(s) - term (time) , scope (computer science) , field (mathematics) , production (economics) , sociology , knowledge management , psychology , knowledge production , computer science , management science , epistemology , data science , economics , philosophy , physics , mathematics , quantum mechanics , pure mathematics , macroeconomics , programming language
To understand the complexities of managing long‐term conditions and develop appropriate responses, micro‐, meso‐ and macrolevels must be considered. However, these levels have not been combined in a single analytical framework of long‐term condition management (LTCM). This article aims to describe a framework of LTCM practice and research that combines societal levels and key agents. The actor‐level framework, based on the works of Abram De Swaan and Randall Collins, provides a broader understanding of LTCM as an interdisciplinary research field compared to previous contributions. The framework has three main advantages. First, it encourages knowledge production across levels and actors that address the complexity of long‐term illness management. Second, it broadens the scope of LTCM as an interdisciplinary research field and practice field. Finally, it facilitates the integration of knowledge production from different disciplines and research traditions. The framework could stimulate interdisciplinary research collaboration to enhance knowledge of processes and interactions influencing the lives of individuals with long‐term conditions.