Care trajectories and transitions at the end of life: a population-based cohort study

医学 队列 临终关怀 类型学 痴呆 回顾性队列研究 缓和医疗 队列研究 生活质量(医疗保健) 老年学 人口学 医疗保健 人口 儿科 疾病 内科学 护理部 环境卫生 社会学 经济 考古 历史 经济增长
作者
Isabelle Dufour,Josiane Courteau,Véronique Legault,Claire Godard‐Sebillotte,Pasquale Roberge,Catherine Hudon,Alain Vanasse,Alexandre Lebel,Amélie Quesnel‐Vallée,Anaïs Lacasse,André Néron,Anne‐Marie Cloutier,Annie Giguère,Benoı̂t Lamarche,Bilkis Vissandjée,Catherine Hudon,Danielle St-Laurent,David L. Buckeridge,Denis Roy,Geneviève Landry
出处
期刊:Age and Ageing [Oxford University Press]
卷期号:53 (10)
标识
DOI:10.1093/ageing/afae218
摘要

Abstract Background End-of-life periods are often characterised by suboptimal healthcare use (HCU) patterns in persons aged 65 years and older, with negative effects on health and quality of life. Understanding care trajectories (CTs) and transitions in this period can highlight potential areas of improvement, a subject yet only little studied. Objective To propose a typology of CTs, including care transitions, for older individuals in the 2 years preceding death. Design Retrospective cohort study. Methods We used multidimensional state sequence analysis and data from the Care Trajectories—Enriched Data (TorSaDE) cohort, a linkage between a Canadian health survey and Quebec health administrative data. Results In total, 2080 decedents were categorised into five CT groups. Group 1 demonstrated low HCU until the last few months, whilst group 2 showed low HCU over the first year, followed by a steady increase. A gradual increase over the 2 years was observed for groups 3 and 4, though more pronounced towards the end for group 3. A persistent high HCU was observed for group 5. Groups 2 and 4 had higher proportions of cancer diagnoses and palliative care, as opposed to comorbidities and dementia for groups 3 and 5. Overall, 68.4% of individuals died in a hospital, whilst 27% received palliative care there. Care transitions increased rapidly towards the end, most notably in the last 2 weeks. Conclusion This study provides an understanding of the variability of CTs in the last two years of life, including place of death, a critical step towards quality improvement.

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