Giardina Traber D, Vaghani Viral, Upadhyay Divvy K, Scott Taylor M, Korukonda Saritha, Spitzmueller Christiane, Singh Hardeep
Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) and Department of Medicine, Baylor College of Medicine, 2002 Holcombe Boulevard, Houston, TX, 77030, USA.
Geisinger, Danville, PA, USA.
J Gen Intern Med. 2025 Mar;40(4):773-781. doi: 10.1007/s11606-024-09007-y. Epub 2024 Sep 5.
The 21st Century Cures Act enables patients to access their medical records, thus providing a unique opportunity to engage patients in their diagnostic journey.
To explore the concordance between patients' self-reported diagnostic concerns and clinician-interpreted information in their electronic health records.
We conducted a mixed-methods analysis of a cohort of 467 patients who completed a structured data collection instrument (the Safer Dx Patient) to identify diagnostic concerns while reviewing their clinician's notes. We conducted a qualitative content analysis of open-ended responses on both the tools and the case summaries. Two clinical chart reviewers, blinded to patient-reported diagnostic concerns, independently conducted chart reviews using a different structured instrument (the Revised Safer Dx Instrument) to identify diagnostic concerns and generate case summaries. The primary outcome variable was chart review-identified diagnostic concerns. Multivariate logistic regression tested whether the primary outcome was concordant with patient-reported diagnostic concerns.
Geisinger, a large integrated healthcare organization in rural and semi-urban Pennsylvania.
Cohort of adult patients actively using patient portals and identified as "at-risk" for diagnostic concerns using an electronic trigger algorithm based on unexpected visit patterns in a primary care setting.
In 467 cohort patients, chart review identified 31 (6.4%) diagnostic concerns, of which only 11 (21.5%) overlapped with 51 patient-reported diagnostic concerns. Content analysis revealed several areas of discordant understanding of the diagnostic process between clinicians and patients. Multivariate logistic regression analysis showed that clinician-identified diagnostic concerns were associated with patients who self-reported "I feel I was incorrectly diagnosed during my visit" (odds ratio 1.65, 95% CI 1.17-2.3, p < 0.05).
Patients and clinicians appear to have certain differences in their mental models of what is considered a diagnostic concern. Efforts to integrate patient perspectives and experiences with the diagnostic process can lead to better measurement of diagnostic safety.
《21世纪治愈法案》使患者能够获取自己的病历,从而为让患者参与其诊断过程提供了独特的机会。
探讨患者自我报告的诊断担忧与临床医生在其电子健康记录中解读的信息之间的一致性。
我们对467名患者组成的队列进行了混合方法分析,这些患者在查看临床医生的记录时完成了一份结构化数据收集工具(“更安全诊断患者”工具)以确定诊断担忧。我们对工具和病例总结中的开放式回答进行了定性内容分析。两名临床病历审阅者在不知道患者报告的诊断担忧的情况下,使用不同的结构化工具(修订后的更安全诊断工具)独立进行病历审阅,以确定诊断担忧并生成病例总结。主要结局变量是病历审阅确定的诊断担忧。多变量逻辑回归测试主要结局是否与患者报告的诊断担忧一致。
宾夕法尼亚州农村和半城市地区的大型综合医疗保健机构盖辛格。
积极使用患者门户网站的成年患者队列,并根据初级保健环境中意外就诊模式的电子触发算法被确定为有诊断担忧“风险”。
在467名队列患者中,病历审阅确定了31项(6.4%)诊断担忧,其中只有11项(21.5%)与51项患者报告的诊断担忧重叠。内容分析揭示了临床医生和患者在对诊断过程的理解上存在几个不一致的领域。多变量逻辑回归分析表明,临床医生确定的诊断担忧与自我报告“我觉得我在就诊期间被误诊了”的患者相关(比值比1.65,95%可信区间为1.17 - 2.3,p < 0.05)。
患者和临床医生在对什么被视为诊断担忧的心理模型上似乎存在一定差异。将患者的观点和经历纳入诊断过程的努力可导致对诊断安全性的更好衡量。