Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, New Hyde Park, New York, USA; Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, New Hyde Park, New York, USA.
Gastrointest Endosc. 2023 Aug;98(2):162-169. doi: 10.1016/j.gie.2023.03.010. Epub 2023 Mar 12.
The rate of esophageal adenocarcinoma (EAC) is rising. This is partly due to the lack of identification of Barrett's esophagus (BE), the main risk factor for EAC. Identifying neoplastic BE can allow for endoscopic therapy to prevent EAC. Our aim was to determine how many patients eligible for screening are actually being screened for BE in the primary care setting of a large health system.
A digital search algorithm was constructed using the established gastroenterology guidelines and the Kunzmann model for screening for BE. The algorithm was then applied to the electronic medical record of all patients seen in the primary care setting of the health system. A manual review of charts of the identified patients was performed to confirm the high-risk status and determine if screening occurred.
Of 936,371 primary care charts analyzed by the algorithm, 3535 patients (.4%) were determined to be high-risk for BE. Of these 3535 patients, only 1077 (30%) were screened for BE in clinical practice with endoscopy. The algorithm identified 2458 (70%) additional high-risk patients. Of the patients screened in clinical practice, 105 (10%) were found to have BE (10% with neoplasia).
Numerous screening opportunities for BE are missed in the primary care setting of a large health system. Collaboration between gastroenterology and primary care services is needed to improve the screening rate.
食管腺癌(EAC)的发病率正在上升。这在一定程度上是由于缺乏对 Barrett 食管(BE)的识别,BE 是 EAC 的主要危险因素。识别出肿瘤性 BE 可以允许进行内镜治疗来预防 EAC。我们的目的是确定在大型医疗保健系统的初级保健环境中,有多少符合筛查条件的患者实际上正在接受 BE 的筛查。
使用已建立的胃肠病学指南和 Kunzmann 筛查 BE 模型构建了数字搜索算法。然后将该算法应用于医疗保健系统初级保健环境中所有患者的电子病历。对确定的患者的图表进行了手动审查,以确认高危状态并确定是否进行了筛查。
通过算法分析了 936371 份初级保健图表,有 3535 名患者(0.4%)被确定为 BE 的高危人群。在这些 3535 名患者中,只有 1077 名(30%)在临床实践中接受了内镜筛查。该算法还确定了 2458 名(70%)额外的高危患者。在临床实践中接受筛查的患者中,有 105 名(10%)发现患有 BE(10%有肿瘤)。
在大型医疗保健系统的初级保健环境中,大量的 BE 筛查机会被错过。需要胃肠病学和初级保健服务之间的合作来提高筛查率。