Charting Diagnostic Safety: Exploring Patient-Provider Discordance in Medical Record Documentation.

IF 4.3 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Journal of General Internal Medicine Pub Date : 2025-03-01 Epub Date: 2024-09-05 DOI:10.1007/s11606-024-09007-y
Traber D Giardina, Viral Vaghani, Divvy K Upadhyay, Taylor M Scott, Saritha Korukonda, Christiane Spitzmueller, Hardeep Singh
{"title":"Charting Diagnostic Safety: Exploring Patient-Provider Discordance in Medical Record Documentation.","authors":"Traber D Giardina, Viral Vaghani, Divvy K Upadhyay, Taylor M Scott, Saritha Korukonda, Christiane Spitzmueller, Hardeep Singh","doi":"10.1007/s11606-024-09007-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The 21st Century Cures Act enables patients to access their medical records, thus providing a unique opportunity to engage patients in their diagnostic journey.</p><p><strong>Objective: </strong>To explore the concordance between patients' self-reported diagnostic concerns and clinician-interpreted information in their electronic health records.</p><p><strong>Design: </strong>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.</p><p><strong>Setting: </strong>Geisinger, a large integrated healthcare organization in rural and semi-urban Pennsylvania.</p><p><strong>Participants: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":15860,"journal":{"name":"Journal of General Internal Medicine","volume":" ","pages":"773-781"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11914411/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of General Internal Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11606-024-09007-y","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The 21st Century Cures Act enables patients to access their medical records, thus providing a unique opportunity to engage patients in their diagnostic journey.

Objective: To explore the concordance between patients' self-reported diagnostic concerns and clinician-interpreted information in their electronic health records.

Design: 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.

Setting: Geisinger, a large integrated healthcare organization in rural and semi-urban Pennsylvania.

Participants: 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.

Results: 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).

Conclusion: 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.

Abstract Image

图解诊断安全:探索病历记录中患者与医疗服务提供者之间的不一致。
背景:《21 世纪治愈法案21 世纪治愈法案》使患者能够访问自己的医疗记录,从而为患者参与诊断过程提供了一个独特的机会:探索患者自我报告的诊断问题与临床医生解释的电子健康记录信息之间的一致性:我们对 467 名患者进行了混合方法分析,这些患者填写了结构化数据收集工具(Safer Dx Patient),以便在查看临床医生笔记时确定诊断问题。我们对工具和病例摘要上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对患者报告的诊断问题保密的情况下,使用不同的结构化工具(修订版安全诊断工具)独立进行病历审阅,以确定诊断问题并生成病例摘要。主要结果变量是病历审查确定的诊断问题。多变量逻辑回归检验了主要结果是否与患者报告的诊断问题一致:Geisinger 是宾夕法尼亚州农村和半城市地区的一家大型综合医疗机构:积极使用患者门户网站的成年患者队列,根据初级医疗环境中的意外就诊模式,使用电子触发算法将其识别为诊断问题的 "高危 "患者:在 467 名队列患者中,病历审查发现了 31 项(6.4%)诊断问题,其中只有 11 项(21.5%)与 51 项患者报告的诊断问题重叠。内容分析表明,临床医生和患者对诊断过程的理解存在若干不一致的地方。多变量逻辑回归分析表明,临床医生确定的诊断问题与患者自述的 "我觉得我在就诊期间被错误诊断 "有关(几率比 1.65,95% CI 1.17-2.3,p 结论:患者和临床医生对诊断过程的理解似乎存在某些差异:患者和临床医生在什么是诊断问题的心智模式上似乎存在某些差异。努力将患者的观点和经验与诊断过程相结合,可以更好地衡量诊断的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of General Internal Medicine
Journal of General Internal Medicine 医学-医学:内科
CiteScore
7.70
自引率
5.30%
发文量
749
审稿时长
3-6 weeks
期刊介绍: The Journal of General Internal Medicine is the official journal of the Society of General Internal Medicine. It promotes improved patient care, research, and education in primary care, general internal medicine, and hospital medicine. Its articles focus on topics such as clinical medicine, epidemiology, prevention, health care delivery, curriculum development, and numerous other non-traditional themes, in addition to classic clinical research on problems in internal medicine.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信