Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, and Baylor College of Medicine, Houston, Texas, USA.
Geisinger, Danville, Pennsylvania, USA.
J Am Med Inform Assoc. 2022 May 11;29(6):1091-1100. doi: 10.1093/jamia/ocac036.
The 21st Century Cures Act mandates patients' access to their electronic health record (EHR) notes. To our knowledge, no previous work has systematically invited patients to proactively report diagnostic concerns while documenting and tracking their diagnostic experiences through EHR-based clinician note review.
To test if patients can identify concerns about their diagnosis through structured evaluation of their online visit notes.
In a large integrated health system, patients aged 18-85 years actively using the patient portal and seen between October 2019 and February 2020 were invited to respond to an online questionnaire if an EHR algorithm detected any recent unexpected return visit following an initial primary care consultation ("at-risk" visit). We developed and tested an instrument (Safer Dx Patient Instrument) to help patients identify concerns related to several dimensions of the diagnostic process based on notes review and recall of recent "at-risk" visits. Additional questions assessed patients' trust in their providers and their general feelings about the visit. The primary outcome was a self-reported diagnostic concern. Multivariate logistic regression tested whether the primary outcome was predicted by instrument variables.
Of 293 566 visits, the algorithm identified 1282 eligible patients, of whom 486 responded. After applying exclusion criteria, 418 patients were included in the analysis. Fifty-one patients (12.2%) identified a diagnostic concern. Patients were more likely to report a concern if they disagreed with statements "the care plan the provider developed for me addressed all my medical concerns" [odds ratio (OR), 2.65; 95% confidence interval [CI], 1.45-4.87) and "I trust the provider that I saw during my visit" (OR, 2.10; 95% CI, 1.19-3.71) and agreed with the statement "I did not have a good feeling about my visit" (OR, 1.48; 95% CI, 1.09-2.01).
Patients can identify diagnostic concerns based on a proactive online structured evaluation of visit notes. This surveillance strategy could potentially improve transparency in the diagnostic process.
21 世纪治愈法案要求患者能够访问其电子健康记录(EHR)。据我们所知,之前没有任何工作系统地邀请患者主动报告诊断问题,同时通过基于 EHR 的临床医生记录审查来记录和跟踪他们的诊断体验。
测试患者是否可以通过对其在线就诊记录的结构化评估来识别诊断问题。
在一个大型综合医疗系统中,邀请在 2019 年 10 月至 2020 年 2 月期间活跃使用患者门户且年龄在 18-85 岁之间的患者,如果 EHR 算法检测到他们在首次初级保健咨询后最近有任何意外复诊(“高危”就诊),则回复在线问卷。我们开发并测试了一种工具(Safer Dx 患者工具),该工具基于记录审查和对最近“高危”就诊的回忆,帮助患者识别与诊断过程的几个维度相关的问题。其他问题评估了患者对其提供者的信任度以及他们对就诊的总体感受。主要结果是自我报告的诊断问题。多变量逻辑回归测试了主要结果是否由工具变量预测。
在 293566 次就诊中,算法确定了 1282 名符合条件的患者,其中 486 名做出了回应。在应用排除标准后,共有 418 名患者纳入分析。51 名患者(12.2%)确定了一个诊断问题。如果患者不同意以下陈述,他们更有可能报告一个问题:“提供者为我制定的护理计划解决了我所有的医疗问题”[比值比(OR),2.65;95%置信区间(CI),1.45-4.87]和“我信任我在就诊期间看到的提供者”(OR,2.10;95% CI,1.19-3.71),并同意“我对就诊感觉不好”的陈述(OR,1.48;95% CI,1.09-2.01)。
患者可以根据对就诊记录的主动在线结构化评估来识别诊断问题。这种监测策略可能会提高诊断过程的透明度。