Suppr超能文献

通过患者报告结局测量信息系统(PROMIS)在学术癌症中心和网络站点进行痛苦筛查:混合模型的实施

Distress Screening Through Patient-Reported Outcomes Measurement Information System (PROMIS) at an Academic Cancer Center and Network Site: Implementation of a Hybrid Model.

作者信息

Neal Joel W, Roy Mohana, Bugos Kelly, Sharp Christopher, Galatin Peter S, Falconer Patricia, Rosenthal Eben L, Blayney Douglas W, Modaressi Shiva, Robinson Ashley, Ramchandran Kavitha

机构信息

Stanford University, Stanford, CA.

Stanford Cancer Institute, Stanford, CA.

出版信息

JCO Oncol Pract. 2021 Nov;17(11):e1688-e1697. doi: 10.1200/OP.20.00473. Epub 2021 Apr 8.

Abstract

PURPOSE

Cancer care guidelines recommend regular distress screening of patients, with approximately one in three patients with cancer experiencing significant distress. However, the implementation of such programs is variable and inconsistent. We sought to assess the feasibility of implementing a hybrid electronic and paper screening tool for distress in all patients coming to a large academic cancer center and an associated integrated network site.

METHODS

Patients at an academic cancer center (Stanford Cancer Center) and its associated integrated network site received either an electronic or on-paper modified Patient-Reported Outcomes Measurement Information System-Global Health questionnaire, to assess overall health and distress. We used the Reach, Effectiveness, Adoption, Implementation, and Maintenance implementation framework to test and report on the feasibility of using this questionnaire. Iterative workflow changes were made to implement the questionnaire throughout the healthcare system, including processes to integrate with existing electronic health records.

RESULTS

From June 2015 to December 2017, 53,954 questionnaires representing 26,242 patients were collected. Approximately 30% of the questionnaires were completed before the visit on an electronic patient portal. The number of patients meeting the positive screen threshold remained around 40% throughout the study period. Following assessment, there were 3,763 referrals to cancer supportive services. Of note, those with a positive screen were more likely to have a referral to supportive care (odds ratio, 6.4; 95% CI, 5.8 to 6.9; < .0001).

CONCLUSION

The hybrid electronic and on-paper use of a commonly available patient-reported outcome tool, Patient-Reported Outcomes Measurement Information System-Global Health, as a large-scale distress screening method, is feasible at a large integrated cancer center.

摘要

目的

癌症护理指南建议对患者进行定期的痛苦筛查,约三分之一的癌症患者会经历严重痛苦。然而,此类项目的实施情况参差不齐且不一致。我们试图评估为所有前往大型学术癌症中心及相关综合网络站点的患者实施一种电子与纸质相结合的痛苦筛查工具的可行性。

方法

一所学术癌症中心(斯坦福癌症中心)及其相关综合网络站点的患者接受了电子或纸质版的改良患者报告结局测量信息系统-总体健康问卷,以评估总体健康状况和痛苦程度。我们使用“覆盖、效果、采用、实施和维持”实施框架来测试和报告使用该问卷的可行性。对工作流程进行了迭代式更改,以便在整个医疗系统中实施该问卷,包括与现有电子健康记录集成的流程。

结果

2015年6月至2017年12月,共收集了代表26242名患者的53954份问卷。约30%的问卷是患者在就诊前通过电子患者门户完成的。在整个研究期间,达到阳性筛查阈值的患者数量保持在40%左右。经过评估,有3763例被转介至癌症支持服务。值得注意的是,筛查呈阳性的患者更有可能被转介至支持性护理(优势比为6.4;95%置信区间为5.8至6.9;P <.0001)。

结论

在大型综合癌症中心,将常用的患者报告结局工具——患者报告结局测量信息系统-总体健康,以电子与纸质相结合的方式用作大规模痛苦筛查方法是可行的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验