Predictors of advance care planning in 11 high-income nations.

Preshit N Ambade, Zachary T Hoffman, Kaamya Mehra, Neil J MacKinnon
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Abstract

Background: Elderly population is increasing in high-income countries. For instance, by 2050, 21.4% of the United States population is expected to be 65+, thus making advance care planning (ACP) increasingly important. We aim to identify predictors of ACP completion in 11 high-income countries and explore relationships between ACP and utilization factors.

Method: Using the 2021 International Health Policy (IHP) survey data, we assessed the relationship between sociodemographic factors, healthcare utilization, and ACP. The primary outcome variable was a composite of three ACP activities. A generalized linear mixed model (GLMM) was used to identify predictors of ACP completion.

Results: Analyses included 18,677 older adults who answered at least one ACP question. Only 5126 (27.4%) reported completion of three ACP activities. Germany (64.7%) showed the highest completion rates, while Sweden (5.0%) and France (5.0%) showed the lowest completion rates. Predictors of ACP completion identified in the GLMM were: increasing age (incidence rate ratio [IRR] range between 1.2 and 1.5), completion of high school education or more (IRR: 1.1, 95% CI: 1.1-1.1), higher income (IRR: 1.1, 95% CI: 1.1-1.2), presence of two or more health conditions (IRR: 1.1, 95% CI: 1.0-1.1), hospital stay in the past 2 years (IRR: 1.1, 95% CI: 1.1-1.1), and access to quality primary care (IRR: 1.0, 95% CI: 1.0-1.1). Male gender (IRR: 0.9, 95% CI: 0.8-0.9) had a negative association with ACP activity completion.

Conclusion: Several patient-specific and health system utilization factors were identified as predictors of ACP activity completion, which clinicians and policymakers could use to enhance ACP completion.

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11 个高收入国家预先护理规划的预测因素。
背景:在高收入国家,老年人口正在不断增加。例如,到 2050 年,美国 21.4% 的人口预计将达到 65 岁以上,这使得预先护理计划(ACP)变得越来越重要。我们旨在确定 11 个高收入国家完成 ACP 的预测因素,并探讨 ACP 与利用因素之间的关系:利用 2021 年国际卫生政策(IHP)调查数据,我们评估了社会人口因素、医疗保健利用率和 ACP 之间的关系。主要结果变量是 ACP 三项活动的综合结果。我们使用广义线性混合模型(GLMM)来确定完成 ACP 的预测因素:分析包括 18677 名至少回答了一个 ACP 问题的老年人。只有 5126 人(27.4%)报告完成了三项 ACP 活动。德国(64.7%)的完成率最高,而瑞典(5.0%)和法国(5.0%)的完成率最低。在 GLMM 中确定的完成 ACP 的预测因素有:年龄增加(发病率比 [IRR] 范围在 1.2 和 1.5 之间)、完成高中或以上教育(IRR:1.1,95% CI:1.1-1.1)、收入增加(IRR:1.1,95% CI:1.1-1.2)、有两种或两种以上健康状况(IRR:1.1,95% CI:1.0-1.1)、过去 2 年住院(IRR:1.1,95% CI:1.1-1.1)以及获得优质初级医疗服务(IRR:1.0,95% CI:1.0-1.1)。男性性别(IRR:0.9,95% CI:0.8-0.9)与完成 ACP 活动呈负相关:结论:几项患者特异性因素和医疗系统使用因素被认为是 ACP 活动完成度的预测因素,临床医生和政策制定者可以利用这些因素来提高 ACP 活动的完成度。
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