Complex advance care planning intervention in general practice (ACP-GP): a cluster-randomised controlled trial

全科医疗中复杂预立医疗照护计划干预(ACP-GP):一项整群随机对照试验

阅读:1

Abstract

BACKGROUND: Advance care planning (ACP) is an iterative communication process about patients' preferences for future care. In general practice, there are barriers to ACP at patient, GP, and healthcare-system levels. A complex intervention may be necessary to reduce barriers. AIM: To evaluate the effects of a complex ACP intervention for patients with chronic, life-limiting illness in general practice (ACP-GP). DESIGN AND SETTING: A cluster-randomised controlled trial was undertaken in Belgian general practice. METHOD: ACP-GP included a patient workbook, GP training, ACP conversations, and a documentation template. The control group received usual care. Outcomes were the 15-item ACP Engagement Survey for patients and the ACP Self-Efficacy scale for GPs. Linear mixed models evaluated differences at 3 months (T1, effectiveness evaluation) and 6 months (T2) post-baseline. Analysis was intention-to-treat. RESULTS: In total, 35 GPs and 95 patients were randomised. Patient ACP engagement did not differ between the intervention and control group at T1 (baseline-adjusted mean difference = 0.34; 95% confidence interval [CI] = -0.02 to 0.69; P = 0.062) or T2 (baseline-adjusted mean difference = 0.20; 95% CI = -0.17 to 0.57; P = 0.28). For GP ACP self-efficacy, there were no significant differences between groups at T1 (baseline-adjusted mean difference = 0.16; 95% CI = -0.04 to 0.35; P = 0.11) or at T2 (baseline-adjusted mean difference = 0.11; 95% CI = -0.09 to 0.31; P = 0.27). CONCLUSION: ACP-GP did not improve patient engagement and GP self-efficacy more than usual care. Both groups showed patterns of increase from baseline. Trial procedures and the COVID-19 pandemic may have increased awareness about ACP.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。