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本文引用的文献

1
Robotic-Assisted Esophagectomy: Current Situation and Future Perspectives.机器人辅助食管切除术:现状与未来展望。
Ann Thorac Cardiovasc Surg. 2023 Aug 20;29(4):168-176. doi: 10.5761/atcs.ra.23-00064. Epub 2023 May 23.
2
Robot-Assisted Minimally Invasive Esophagectomy versus Open Esophagectomy for Esophageal Cancer: A Systematic Review and Meta-Analysis.机器人辅助微创食管癌切除术与开放性食管癌切除术治疗食管癌的系统评价和Meta分析
Cancers (Basel). 2022 Jun 29;14(13):3177. doi: 10.3390/cancers14133177.
3
Patients' expectations and experiences of provided surgery-related patient education: A descriptive longitudinal study.患者对提供的手术相关患者教育的期望和体验:一项描述性纵向研究。
Nurs Open. 2022 Sep;9(5):2495-2505. doi: 10.1002/nop2.1270. Epub 2022 Jun 5.
4
Minimally invasive techniques for transthoracic oesophagectomy for oesophageal cancer: systematic review and network meta-analysis.经胸食管癌微创切除术治疗食管癌的微创技术:系统评价和网络荟萃分析。
BJS Open. 2020 Oct;4(5):787-803. doi: 10.1002/bjs5.50330. Epub 2020 Sep 7.
5
Assessment of the Quality and Reliability of the Information on Rotator Cuff Repair on YouTube.评估 YouTube 上有关肩袖修复信息的质量和可靠性。
Orthop Traumatol Surg Res. 2020 Feb;106(1):31-34. doi: 10.1016/j.otsr.2019.10.004. Epub 2019 Dec 24.
6
Robot-assisted Minimally Invasive Thoracolaparoscopic Esophagectomy Versus Open Transthoracic Esophagectomy for Resectable Esophageal Cancer: A Randomized Controlled Trial.机器人辅助微创胸腹腔镜食管切除术与开胸经胸食管癌切除术治疗可切除食管癌的随机对照试验。
Ann Surg. 2019 Apr;269(4):621-630. doi: 10.1097/SLA.0000000000003031.
7
Robot-assisted mediastinoscopic esophagectomy for esophageal cancer: the first clinical series.机器人辅助纵隔镜食管癌切除术:首个临床系列报道
Esophagus. 2019 Jan;16(1):85-92. doi: 10.1007/s10388-018-0634-8. Epub 2018 Aug 3.
8
Robotic esophagectomy.机器人辅助食管切除术
J Vis Surg. 2016 Aug 10;2:139. doi: 10.21037/jovs.2016.07.16. eCollection 2016.
9
Engaging Patients in Decision-Making and Behavior Change to Promote Prevention.让患者参与决策和行为改变以促进预防。
Stud Health Technol Inform. 2017;240:284-302.
10
Harnessing Information Technology to Inform Patients Facing Routine Decisions: Cancer Screening as a Test Case.利用信息技术为面临常规决策的患者提供信息:以癌症筛查为例
Ann Fam Med. 2017 May;15(3):217-224. doi: 10.1370/afm.2063.

评估用于机器人食管癌切除术患者教育的在线资源质量。

Evaluating the quality of online resources for patient education on robotic esophagectomy.

作者信息

Kelly Susheian, Jindani Rajika, Yanis Sophia, Habboosh Noor, Parmar Priyanka, Quintero Jorge-Humberto Rodriguez, Nobel Tamar, Vimolratana Marc, Chudgar Neel, Stiles Brendon

机构信息

Department of Cardiothoracic Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, 3400 Bainbridge Avenue, Bronx, NY, 10467, USA.

Department of Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.

出版信息

J Robot Surg. 2025 May 22;19(1):228. doi: 10.1007/s11701-025-02297-2.

DOI:10.1007/s11701-025-02297-2
PMID:40405013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12098202/
Abstract

Robotic approaches have gained popularity in recent years, with multiple studies showing improved short- and long-term outcomes with this technique for esophagectomy. Educational resources should be assessed to ensure patients are knowledgeable about the treatment modalities that are available. Our aim is to evaluate whether online content is a reliable source of patient educational material for robotic esophagectomy. A YouTube query was performed for: "Robot Assisted Minimally Invasive Esophagectomy." The first 60 videos were evaluated by two independent reviewers and scored using the DISCERN tool. Of the 60 videos reviewed, 48 (80%) were included. The average DISCERN score for the videos was 1.3 ± 0.57 (SD), with a score > 3 being good for patient education and ≤ 3 being poor. The content available on YouTube for education about robotic esophagectomy is better suited for surgical education. This underscores a significant opportunity to improve patient education resources for the betterment of shared decision making.

摘要

近年来,机器人手术方法越来越受欢迎,多项研究表明,采用这种技术进行食管切除术的短期和长期效果有所改善。应评估教育资源,以确保患者了解可用的治疗方式。我们的目的是评估在线内容是否是机器人辅助食管切除术患者教育材料的可靠来源。在YouTube上进行了一次搜索查询:“机器人辅助微创食管切除术”。由两名独立评审员对前60个视频进行评估,并使用DISCERN工具进行评分。在审查的60个视频中,有48个(80%)被纳入。这些视频的平均DISCERN评分为1.3±0.57(标准差),评分>3对患者教育有益,≤3则较差。YouTube上提供的关于机器人辅助食管切除术的教育内容更适合外科教育。这凸显了一个重大机会,即改善患者教育资源,以促进共同决策。