4.3 Article

Using the Soft Systems Methodology to Link Healthcare and Long-Term Care Delivery Systems: A Case Study of Community Policy Coordinator Activities in Japan

Publisher

MDPI
DOI: 10.3390/ijerph19148462

Keywords

soft systems methodology; complex systems; medical care system; long-term care system; integrated community care system

Funding

  1. National Institute for Geriatrics and Gerontology [26-13, 22-18]

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Due to the aging population in Japan, the government is attempting to link the healthcare and long-term care delivery systems. This study used the soft systems methodology (SSM) to visualize the challenges and perspectives of interested parties in different communities. By organizing information using the SSM, the study identified the current situations, issues, challenges, and proposed solutions regarding the linkage between the two systems.
Due to the rapidly aging population in Japan, the government has been attempting to link the healthcare delivery system with the long-term care delivery system. However, there are complex challenges that must be overcome to link the two systems. A new methodology should be used to organize complex community challenges and propose solutions. This study aimed to visualize the unique challenges and worldviews of interested parties in each community, using the soft systems methodology (SSM). We aimed to visualize issues and clarify challenges associated with linking the healthcare and long-term care delivery systems; in turn, clarifying the thought process behind solution proposals. We gathered information regarding those who are actively linking these systems in communities in a Japanese municipality (community care coordinators) and organized the information according to the SSM procedure. By organizing information using the SSM, we were able to summarize the present situations of the community healthcare and long-term care delivery systems, visualize issues, clarify challenges associated with linking these two systems, and propose solutions. The SSM may be useful in organizing complex community information and deriving solutions.

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