2026/07/06 []

邁向整合照護:台灣居家與社區式服務(HCBS)組合型態與醫療費用之分析——以全國性資料世代研究為基礎

目標:本研究旨在探討不同居家與社區式服務(home- and community-based services, HCBS)核定服務組合型態與高齡照顧接受者醫療費用變化之關聯。方法:使用台灣長期照顧十年計畫1.0資料庫與全民健康保險申報資料,分析2009–2014年之世代資料。研究樣本為106,578名首次申請HCBS,且於接受服務核定時年齡≥65歲者。採用潛在類別分析辨識相似HCBS核定服務組合型態,並以多元線性迴歸分析其與醫療費用變化之關聯;醫療費用變化係以核定後第4至第15個月減核定前12個月計算。結果:辨識出四種HCBS核定服務組合型態:居家服務照顧(home-based personal care, PC)、居家專業照顧(home-based medical care, MC)、PC/MC,以及社區式照顧。與PC/MC組相比,MC組在總醫療費用(β = −42,842.00,p < .0001)、急診費用(β = −699.14,p < .0001)及住院費用(β = −43,091.00,p < .0001)呈現顯著較大降幅;而PC組與社區式照顧組的醫療費用之變化,多數未達統計顯著差異。結論:以專業照護服務為主的HCBS核定服務組合型態,與醫療費用支出下降幅度較大相關,可作為未來推動HCBS專業照護整合與服務協調之參考。

  • 預定刊載卷期:台灣衛誌 2026;45(3)
  • 原著 Original Article
  •  
  • 鐘雅慧、吳世權、鍾國彪、陳雅美
    Ya-Hui Chung, Shih-Cyuan Wu, Kuo-Piao Chung, Ya-Mei Chen
  • 居家與社區式服務(HCBS)、核定服務組合型態、醫療費用、潛在類別分析、整合式服務
    home- and community-based services (HCBS), approved service patterns, health-care costs, latent class analysis, integrated services
  • 目標:本研究旨在探討不同居家與社區式服務(home- and community-based services, HCBS)核定服務組合型態與高齡照顧接受者醫療費用變化之關聯。方法:使用台灣長期照顧十年計畫1.0資料庫與全民健康保險申報資料,分析2009–2014年之世代資料。研究樣本為106,578名首次申請HCBS,且於接受服務核定時年齡≥65歲者。採用潛在類別分析辨識相似HCBS核定服務組合型態,並以多元線性迴歸分析其與醫療費用變化之關聯;醫療費用變化係以核定後第4至第15個月減核定前12個月計算。結果:辨識出四種HCBS核定服務組合型態:居家服務照顧(home-based personal care, PC)、居家專業照顧(home-based medical care, MC)、PC/MC,以及社區式照顧。與PC/MC組相比,MC組在總醫療費用(β = −42,842.00,p < .0001)、急診費用(β = −699.14,p < .0001)及住院費用(β = −43,091.00,p < .0001)呈現顯著較大降幅;而PC組與社區式照顧組的醫療費用之變化,多數未達統計顯著差異。結論:以專業照護服務為主的HCBS核定服務組合型態,與醫療費用支出下降幅度較大相關,可作為未來推動HCBS專業照護整合與服務協調之參考。
  • Objectives: This study examined the association between approved home- and community-based service (HCBS) patterns and changes in health-care costs among older adults receiving care services. Methods: We analyzed cohort data from two national databases in Taiwan: the Ten-Year Long-Term Care Plan 1.0 database and the National Health Insurance Program claims data collected between 2009 and 2014. The sample included 106,578 care recipients who were first-time HCBS applicants and aged ≥65 years at service approval. Latent class analysis was performed to identify similar approved HCBS service patterns, and multiple linear regression was used to examine their associations with changes in health-care costs. Changes in health-care costs were calculated by subtracting costs incurred during the 12 months before service approval from costs incurred during months 4–15 after service approval. Results: Four approved HCBS service patterns were identified: home-based personal care (PC), home-based medical care (MC), combined PC/MC, and community-based care. Compared with the combined PC/MC group, the MC group exhibited significantly greater reductions in total health-care costs (β = −42,842.00, p < .0001), emergency department costs (β = −699.14, p < .0001), and hospitalization costs (β = −43,091.00, p < .0001). Most changes in health-care costs in the PC and community-based care groups did not significantly differ from those in the PC/MC group. Conclusions: Approved HCBS service patterns primarily characterized by professional care services were associated with greater reductions in health-care expenditures. These findings may inform future efforts to integrate professional care services within HCBS and strengthen service coordination. 
  • 236-250
  • http://bit.ly/3r4HS9R