Rethinking long-term condition management
An actor-level framework
Bibliographic Data
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
Data science · Economics · Epistemology · Field (mathematics · Knowledge management · Knowledge production · Management science · Production (economics · Scope (computer science · Sociology · Term (time · Chronic Disease Management Strategies · Computer Science · Health Policy Implementation Science · Mental Health and Psychiatry · Psychology
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,8 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |