The Development of the Rheumatology Informatics System for Effectiveness Learning Collaborative for Improving Patient-Reported Outcome Collection and Patient-Centered Communication in Adult Rheumatology.

The Development of the Rheumatology Informatics System for Effectiveness Learning Collaborative for Improving Patient-Reported Outcome Collection and Patient-Centered Communication in Adult Rheumatology.
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DOI:
10.1002/acr2.11310
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发表时间:
2021-10
影响因子:
3.4
通讯作者:
Yazdany J
Yazdany J
中科院分区:
其他
文献类型:
--
作者:
Subash M;Liu LH;DeQuattro K;Choden S;Jacobsohn L;Katz P;Bajaj P;Barton JL;Bartels C;Bermas B;Danila MI;Downey C;Ferguson S;Reiter K;Wahl E;Weinstein E;Zell J;Schmajuk G;Yazdany J

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患者报告的结果 (PRO) 是治疗类风湿性关节炎 (RA) 的目标治疗方法的一个组成部分。然而,在临床实践中,PRO 的常规收集、记录和与患者的讨论变化很大。 RISE LC(风湿病学信息学有效性学习协作系统)的成立是为了在美国成人风湿病实践中开发和分享 PRO 收集和使用的最佳实践。RISE LC 的目标是通过现场调查和面对面会议制定的。参与者完成了关于 PRO 收集和在实践中使用的基线调查。 RISE LC 学习课程的重点是改善 PRO 与患者的沟通,并加强治疗计划中的共同决策。在 2019 年冠状病毒病 (COVID-19) 大流行期间,RISE LC 转向采用 PRO 工具进行远程医疗。在基线时,所有响应站点 (n = 15) 都建立了收集 PRO 的工作流程。大多数网站仅使用纸质表格。电子健康记录中的 PRO 文档各不相同,只有一半的站点使用结构化数据字段。为了标准化和改进 PRO 的使用,参与者迭代开发了基于临床疾病活动指数的 RA 疾病活动交流工具,以征求治疗目标并改善跨站点的共享决策。 COVID-19 大流行需要开发一种通过远程医疗来衡量 PRO 的工具。 RISE LC 是一种连续的、结构化的方法,用于实施改善 PRO 收集和在风湿病护理中使用的策略,最初改编自学习协作模型,并扩展到包括学习网络的功能。未来的方向包括衡量标准化 PRO 收集和讨论对共同决策和 RA 结果的影响。
Patient‐reported outcomes (PROs) are an integral part of treat‐to‐target approaches in managing rheumatoid arthritis (RA). In clinical practice, however, routine collection, documentation, and discussion of PROs with patients are highly variable. The RISE LC (Rheumatology Informatics System for Effectiveness Learning Collaborative) was established to develop and share best practices in PRO collection and use across adult rheumatology practices in the United States The goals of the RISE LC were developed through site surveys and in‐person meetings. Participants completed a baseline survey on PRO collection and use in their practices. RISE LC learning sessions focused on improving communication around PROs with patients and enhancing shared decision‐making in treatment plans. During the coronavirus disease 2019 (COVID‐19) pandemic, the RISE LC pivoted to adapt PRO tools for telehealth. At baseline, all responding sites (n = 15) had established workflows for collecting PROs. Most sites used paper forms alone. PRO documentation in electronic health records was variable, with only half of the sites using structured data fields. To standardize and improve the use of PROs, participants iteratively developed a Clinical Disease Activity Index–based RA Disease Activity Communication Tool to solicit treatment goals and improve shared decision‐making across sites. The COVID‐19 pandemic necessitated developing a tool to gauge PROs via telehealth. The RISE LC is a continuous, structured method for implementing strategies to improve PRO collection and use in rheumatological care, initially adapting from the Learning Collaborative model and extending to include features of a learning network. Future directions include measuring the impact of standardized PRO collection and discussion on shared decision‐making and RA outcomes.
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