Healthcare use and healthcare costs for patients with advanced cancer; the international ACTION cluster-randomised trial on advance care planning

医学 医疗保健 缓和医疗 动作(物理) 医疗保健系统 星团(航天器) 癌症 重症监护医学 家庭医学 护理部 经济增长 内科学 量子力学 物理 经济 程序设计语言 计算机科学
作者
Ida J. Korfage,Suzanne Polinder,Nancy Preston,Johannes J. M. van Delden,Sandra J. L. M. Geraerds,Lesley Dunleavy,Kristof Faes,Guido Miccinesi,Giulia Carreras,Caroline Moeller Arnfeldt,Marijke C. Kars,Giuseppe Lippi,Urška Lunder,Céu Mateus,Kristian Pollock,Luc Deliëns,Mogens Grøenvold,Agnes van der Heide,Judith Rietjens
出处
期刊:Palliative Medicine [SAGE Publishing]
卷期号:37 (5): 707-718 被引量:8
标识
DOI:10.1177/02692163221142950
摘要

Background: Advance care planning supports patients to reflect on and discuss preferences for future treatment and care. Studies of the impact of advance care planning on healthcare use and healthcare costs are scarce. Aim: To determine the impact on healthcare use and costs of an advance care planning intervention across six European countries. Design: Cluster-randomised trial, registered as ISRCTN63110516, of advance care planning conversations supported by certified facilitators. Setting/participants: Patients with advanced lung or colorectal cancer from 23 hospitals in Belgium, Denmark, Italy, the Netherlands, Slovenia and the UK. Data on healthcare use were collected from hospital medical files during 12 months after inclusion. Results: Patients with a good performance status were underrepresented in the intervention group ( p< 0.001). Intervention and control patients spent on average 9 versus 8 days in hospital ( p = 0.07) and the average number of X-rays was 1.9 in both groups. Fewer intervention than control patients received systemic cancer treatment; 79% versus 89%, respectively ( p< 0.001). Total average costs of hospital care during 12 months follow-up were €32,700 for intervention versus €40,700 for control patients ( p = 0.04 with bootstrap analyses). Multivariable multilevel models showed that lower average costs of care in the intervention group related to differences between study groups in country, religion and WHO-status. No effect of the intervention on differences in costs between study groups was observed ( p = 0.3). Conclusions: Lower care costs as observed in the intervention group were mainly related to patients’ characteristics. A definite impact of the intervention itself could not be established.
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