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Background <p>The aging population is driving an increasing demand for long-term care (LTC) and complex continuing care (CCC) across member countries of the Organization for Economic Co-operation and Development (OECD). Addressing this growing need requires improved care transition strategies that prioritize directing older adults with less resource-intensive needs toward home care rather than LTC or CCC. Effective implementation of these strategies necessitates that decision-makers have a comprehensive understanding of the factors influencing older adults’ transitions across care settings. Although substantial research has investigated these factors, the current understanding remains fragmented due to the limited synthesis of recent evidence.</p> Objectives <p>This scoping review identifies factors that influence older adults’ transitions across two critical pathways: (1) post-acute care transitions (from acute care to LTC, CCC, and home care) and (2) community reintegration transitions (from LTC and CCC to home care). The findings aim to inform evidence-based integration of these factors into care models and placement decisions.</p> Methods <p>Using Arksey and O’Malley’s five-stage framework, we reviewed English-language publications from OECD countries between 2015 and 2025 across SCOPUS, MEDLINE, OVID EMBASE, CINAHL EBSCO, and Web of Science.</p> Results <p>Our review of 120 publications identified socio-demographic characteristics, caregiver support, health conditions, healthcare system attributes, funding policies, and person-centered care as key determinants of older adults’ transitions.</p> Conclusions <p>Our review underscores the importance of incorporating the identified determinants into care models to address older adults’ individualized needs and support optimal placement decisions. This evidence-based approach can guide policy reforms and management practices, improving resource utilization and system efficiency. Additionally, we outline key gaps in the literature and propose directions for future research.</p>

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Shaping older adults’ care policy: a scoping review of key determinants in post-acute and community reintegration transitions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月30日

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  • Saina Sehatkarlangrodi,
  • Manaf Zargoush,
  • Christopher J. Longo,
  • Somayeh Ghazalbash

摘要

Background

The aging population is driving an increasing demand for long-term care (LTC) and complex continuing care (CCC) across member countries of the Organization for Economic Co-operation and Development (OECD). Addressing this growing need requires improved care transition strategies that prioritize directing older adults with less resource-intensive needs toward home care rather than LTC or CCC. Effective implementation of these strategies necessitates that decision-makers have a comprehensive understanding of the factors influencing older adults’ transitions across care settings. Although substantial research has investigated these factors, the current understanding remains fragmented due to the limited synthesis of recent evidence.

Objectives

This scoping review identifies factors that influence older adults’ transitions across two critical pathways: (1) post-acute care transitions (from acute care to LTC, CCC, and home care) and (2) community reintegration transitions (from LTC and CCC to home care). The findings aim to inform evidence-based integration of these factors into care models and placement decisions.

Methods

Using Arksey and O’Malley’s five-stage framework, we reviewed English-language publications from OECD countries between 2015 and 2025 across SCOPUS, MEDLINE, OVID EMBASE, CINAHL EBSCO, and Web of Science.

Results

Our review of 120 publications identified socio-demographic characteristics, caregiver support, health conditions, healthcare system attributes, funding policies, and person-centered care as key determinants of older adults’ transitions.

Conclusions

Our review underscores the importance of incorporating the identified determinants into care models to address older adults’ individualized needs and support optimal placement decisions. This evidence-based approach can guide policy reforms and management practices, improving resource utilization and system efficiency. Additionally, we outline key gaps in the literature and propose directions for future research.