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.
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.