Literature DB >> 32515797

Frequency and Types of Patient-Reported Errors in Electronic Health Record Ambulatory Care Notes.

Sigall K Bell1,2, Tom Delbanco1,2, Joann G Elmore3, Patricia S Fitzgerald1, Alan Fossa1,4, Kendall Harcourt1, Suzanne G Leveille1,2,5, Thomas H Payne6, Rebecca A Stametz7, Jan Walker1,2, Catherine M DesRoches1,2.   

Abstract

Importance: As health information transparency increases, patients more often seek their health data. More than 44 million patients in the US can now readily access their ambulatory visit notes online, and the practice is increasing abroad. Few studies have assessed documentation errors that patients identify in their notes and how these may inform patient engagement and safety strategies. Objective: To assess the frequency and types of errors identified by patients who read open ambulatory visit notes. Design, Setting, and Participants: In this survey study, a total of 136 815 patients at 3 US health care organizations with open notes, including 79 academic and community ambulatory care practices, received invitations to an online survey from June 5 to October 20, 2017. Patients who had at least 1 ambulatory note and had logged onto the portal at least once in the past 12 months were included. Data analysis was performed from July 3, 2018, to April 27, 2020. Exposures: Access to ambulatory care open notes through patient portals for up to 7 years (2010-2017). Main Outcomes and Measures: Proportion of patients reporting a mistake and how serious they perceived the mistake to be, factors associated with finding errors characterized by patients as serious, and categories of patient-reported errors.
Results: Of 136 815 patients who received survey invitations, 29 656 (21.7%) responded and 22 889 patients (mean [SD] age, 55.16 [15.96] years; 14 447 [63.1%] female; 18 301 [80.0%] white) read 1 or more notes in the past 12 months and completed error questions. Of these patients, 4830 (21.1%) reported a perceived mistake and 2043 (42.3%) reported that the mistake was serious (somewhat serious: 1563 [32.4%]; very serious: 480 [9.9%]). In multivariable analysis, female patients (relative risk [RR], 1.79; 95% CI, 1.72-1.85), more educated patients (RR, 1.38; 95% CI, 1.29-1.48), sicker patients (RR, 1.89; 95% CI, 1.84-1.94), those aged 45 to 64 years (RR, 2.23; 95% CI, 2.06-2.42), those 65 years or older (RR, 2.00; 95% CI, 1.73-2.32), and those who read more than 1 note (2-3 notes: RR, 1.82; 95% CI, 1.34-2.47; ≥4 notes: RR, 3.09; 95% CI, 2.02-4.73) were more likely to report a mistake that they found to be serious compared with their reference groups. After categorization of patient-reported very serious mistakes, those specifically mentioning the word diagnosis or describing a specific error in current or past diagnoses were most common (98 of 356 [27.5%]), followed by inaccurate medical history (85 of 356 [23.9%]), medications or allergies (50 of 356 [14.0%]), and tests, procedures, or results (30 of 356 [8.4%]). A total of 23 (6.5%) reflected notes reportedly written on the wrong patient. Of 433 very serious errors, 255 (58.9%) included at least 1 perceived error potentially associated with the diagnostic process (eg, history, physical examination, tests, referrals, and communication). Conclusions and Relevance: In this study, patients who read ambulatory notes online perceived mistakes, a substantial proportion of which they found to be serious. Older and sicker patients were twice as likely to report a serious error compared with younger and healthier patients, indicating important safety and quality implications. Sharing notes with patients may help engage them to improve record accuracy and health care safety together with practitioners.

Entities:  

Year:  2020        PMID: 32515797     DOI: 10.1001/jamanetworkopen.2020.5867

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  28 in total

1.  Lessons Learned from OpenNotes Learning Mode and Subsequent Implementation across a Pediatric Health System.

Authors:  Avinash Murugan; Holly Gooding; Jordan Greenbaum; Jeanne Boudreaux; Reena Blanco; Arin Swerlick; Cary Sauer; Steven Liu; Amina Bhatia; Alexis Carter; Meredith M Burris; Lauren Becker; Lashandra Abney; Sharon O'Brien; Shane Webb; Melissa Popkin; Herb Williams; Desiree Jennings; Evan W Orenstein
Journal:  Appl Clin Inform       Date:  2022-01-26       Impact factor: 2.342

2.  Prevalence and Factors Associated with Patient-Requested Corrections to the Medical Record through Use of a Patient Portal: Findings from a National Survey.

Authors:  Oliver T Nguyen; Young-Rock Hong; Amir Alishahi Tabriz; Karim Hanna; Kea Turner
Journal:  Appl Clin Inform       Date:  2022-02-23       Impact factor: 2.342

3.  Attitudes, experiences, and safety behaviours of adolescents and young adults who read visit notes: Opportunities to engage patients early in their care.

Authors:  Barbara D Lam; Fabienne Bourgeois; Catherine M DesRoches; Zhiyong Dong; Sigall K Bell
Journal:  Future Healthc J       Date:  2021-11

4.  Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants.

Authors:  Manan Shah; Derek Shu; V B Surya Prasath; Yizhao Ni; Andrew H Schapiro; Kevin R Dufendach
Journal:  Appl Clin Inform       Date:  2021-09-08       Impact factor: 2.762

5.  The person-based development and realist evaluation of a summary report for GP consultations [version 1; peer review: 2 approved].

Authors:  Mairead Murphy; Geoff Wong; Anne Scott; Victoria Wilson; Chris Salisbury
Journal:  NIHR Open Res       Date:  2022-02-21

6.  New federal rule requires open notes: what do clinicians and patients need to know? Insights and suggestions from a neuro-oncologist, a neurosurgeon, and a person living with a brain tumor.

Authors:  Liz Salmi; S Alireza Mansouri; Lynne P Taylor
Journal:  Neurooncol Pract       Date:  2021-04-05

7.  Assessment of Patients' Ability to Review Electronic Health Record Information to Identify Potential Errors: Cross-sectional Web-Based Survey.

Authors:  Lisa Freise; Ana Luisa Neves; Kelsey Flott; Paul Harrison; John Kelly; Ara Darzi; Erik K Mayer
Journal:  JMIR Form Res       Date:  2021-02-26

8.  21st Century Cures Act, an Information Technology-Led Organizational Initiative.

Authors:  Steven K Magid; Karen Cohen; Larry S Katzovitz
Journal:  HSS J       Date:  2021-09-29

9.  Speaking up about patient-perceived serious visit note errors: Patient and family experiences and recommendations.

Authors:  Barbara D Lam; Fabienne Bourgeois; Zhiyong J Dong; Sigall K Bell
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

10.  Impact of a medical scribe on clinical efficiency and quality in an academic general internal medicine practice.

Authors:  Anastasia Pozdnyakova Piersa; Neda Laiteerapong; Sandra A Ham; Felipe Fernandez Del Castillo; Sachin Shah; Deborah L Burnet; Wei Wei Lee
Journal:  BMC Health Serv Res       Date:  2021-07-11       Impact factor: 2.655

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