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主动选择推动对高危患者进行原发性醛固酮增多症筛查。

Active Choice Nudge to Increase Screening for Primary Aldosteronism in At-Risk Patients.

作者信息

Passman Jesse E, Hwang Jasmine, Tang Justin, Fagen Madeline, Epps Mika, Peifer MaryAnne, Howell John T, Cohen Jordana B, Delgado M Kit, Wachtel Heather, Herman Daniel S

机构信息

From the Department of Surgery (Passman, Hwang, Wachtel), University of Pennsylvania Health System, Philadelphia, PA.

Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA (Passman, Hwang, Peifer, Herman).

出版信息

J Am Coll Surg. 2025 Jan 1;240(1):46-59. doi: 10.1097/XCS.0000000000001221. Epub 2024 Dec 16.

Abstract

BACKGROUND

Primary aldosteronism (PA) is the most common cause of secondary hypertension, yet screening remains startlingly infrequent. We describe (1) PA screening practices in a large, diverse health system, (2) the development of a computable phenotype for PA screening, and (3) the design and pilot deployment of an electronic health record (EHR)-based active choice nudge to recommend PA screening.

STUDY DESIGN

A multidisciplinary team developed a multipronged intervention to improve PA screening informed by guidelines, expertise, and multivariable analyses of factors associated with screening. The intervention included EHR-based tools to automatically identify screen-eligible patients, an active choice nudge recommending screening for these patients, and screening result interpretation. The intervention was piloted across 2 primary care practices for 7 months. Screening frequencies were compared with clinics not receiving the intervention.

RESULTS

The baseline frequency of screening of eligible patients within 1 year was 1.4%. Higher mean systolic blood pressure (odds ratio [OR] 1.4; p < 0.001), more antihypertensive medications (OR 1.3; p = 0.002), lower minimum serum potassium (OR 2.0; p = 0.001), specialist care (OR 3.0; p < 0.001), and Black race (OR 1.5; p = 0.001) were associated with a higher likelihood of screening. The refined computable phenotype identified a subcohort with a higher frequency of positive screening (8.6% vs 4.1%; p = 0.03). In a pilot study of an active choice nudge, a greater proportion of eligible patients were screened in the intervention clinics (16.4%) than in the nonintervention clinics (1.8%; p < 0.001).

CONCLUSIONS

PA screening rates are low. This pilot study suggests an EHR-based nudge leveraging a precise computable phenotype can dramatically increase appropriate PA screening.

摘要

背景

原发性醛固酮增多症(PA)是继发性高血压最常见的病因,但筛查却出奇地不常见。我们描述了(1)一个大型多样化医疗系统中的PA筛查实践,(2)用于PA筛查的可计算表型的开发,以及(3)基于电子健康记录(EHR)的主动选择推动措施的设计和试点部署,以推荐PA筛查。

研究设计

一个多学科团队制定了一项多管齐下的干预措施,以根据指南、专业知识以及与筛查相关因素的多变量分析来改善PA筛查。该干预措施包括基于EHR的工具,用于自动识别符合筛查条件的患者,一项主动选择推动措施,向这些患者推荐筛查,以及筛查结果解读。该干预措施在2个初级保健机构进行了7个月的试点。将筛查频率与未接受干预的诊所进行比较。

结果

1年内符合条件患者的基线筛查频率为1.4%。较高的平均收缩压(优势比[OR] 1.4;p < 0.001)、更多的抗高血压药物(OR 1.3;p = 0.002)、更低的最低血清钾水平(OR 2.0;p = 0.001)、专科护理(OR 3.0;p < 0.001)以及黑人种族(OR 1.5;p = 0.001)与更高的筛查可能性相关。优化后的可计算表型识别出一个筛查阳性频率更高的亚组(8.6%对4.1%;p = 0.03)。在一项主动选择推动措施的试点研究中,干预诊所中接受筛查的符合条件患者比例(16.4%)高于非干预诊所(1.8%;p < 0.001)。

结论

PA筛查率较低。这项试点研究表明,基于EHR的推动措施利用精确的可计算表型可显著增加适当的PA筛查。

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