Evidence map›Paper›PMID 32515797›Full record

ArticleJAMA network open2020

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

Sigall K Bell, Tom Delbanco, Joann G Elmore, Patricia S Fitzgerald, Alan Fossa, Kendall Harcourt, Suzanne G Leveille, Thomas H Payne, Rebecca A Stametz, Jan Walker and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

122 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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62 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sigall K BellDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Tom DelbancoDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Joann G ElmoreDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles.
Patricia S FitzgeraldDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Alan FossaDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Kendall HarcourtDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Suzanne G LeveilleDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Thomas H PayneDepartment of Medicine, University of Washington School of Medicine, Seattle.
Rebecca A StametzSteele Institute for Health Innovation, Geisinger, Danville, Pennsylvania.
Jan WalkerDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Catherine M DesRochesDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Data AccuracyAdolescentAdultAgedAge FactorsAmbulatory CareAsianBlack or African AmericanDiagnostic Tests, RoutineDocumentationEducational StatusElectronic Health RecordsFemaleHispanic or LatinoHumansMale

Identifiers

PMID32515797
PMCPMC7284300

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.