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Using the Soft Systems Methodology to Link Healthcare and Long-Term Care Delivery Systems: A Case Study of Community Policy Coordinator Activities in Japan.
Goto, Yuko; Miura, Hisayuki.
Affiliation
  • Goto Y; Department of Home Care and Regional Liaison Promotion, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.
  • Miura H; Department of Home Care and Regional Liaison Promotion, National Center for Geriatrics and Gerontology, Obu 474-8511, Aichi, Japan.
Article in En | MEDLINE | ID: mdl-35886316
ABSTRACT
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Long-Term Care / Delivery of Health Care Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Aged / Humans Country/Region as subject: Asia Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Long-Term Care / Delivery of Health Care Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Aged / Humans Country/Region as subject: Asia Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article Affiliation country:
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