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The DOI matches its Crossref record; 41 of the 43 references it cites were found in a registry or an index; none of the 40 sources its claims cite is checked for support yet.

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

Open access
Lam, Barbara D, Bourgeois, Fabienne, Dong, Zhiyong J, Bell, Sigall K·2021·Journal of the American Medical Informatics Association

Abstract

Background: Open notes invite patients and families to read ambulatory visit notes through the patient portal. Little is known about the extent to which they identify and speak up about perceived errors. Understanding the barriers to speaking up can inform quality improvements. Objective: To describe patient and family attitudes, experiences, and barriers related to speaking up about perceived serious note errors. Methods: Mixed method analysis of a 2016 electronic survey of patients and families at 2 northeast US academic medical centers. Participants had active patient portal accounts and at least 1 note available in the preceding 12 months. Results: 6913 adult patients (response rate 28%) and 3672 pediatric families (response rate 17%) completed the survey. In total, 8724/9392 (93%) agreed that reporting mistakes improves patient safety. Among 8648 participants who read a note, 1434 (17%) perceived ≥1 mistake. 627/1434 (44%) reported the mistake was serious and 342/627 (56%) contacted their provider. Participants who self-identified as Black or African American, Asian, “other,” or “multiple” race(s) (OR 0.50; 95% CI (0.26,0.97)) or those who reported poorer health (OR 0.58; 95% CI (0.37,0.90)) were each less likely to speak up than white or healthier respondents, respectively. The most common barriers to speaking up were not knowing how to report a mistake (61%) and avoiding perception as a “troublemaker” (34%). Qualitative analysis of 476 free-text suggestions revealed practical recommendations and proposed innovations for partnering with patients and families. Conclusions: About half of patients and families who perceived a serious mistake in their notes reported it. Identified barriers demonstrate modifiable issues such as establishing clear mechanisms for reporting and more challenging issues such as creating a supportive culture. Respondents offered new ideas for engaging patients and families in improving note accuracy.

Overview

CoChat Summary

TL;DR

In a mixed-methods survey of 10,252 patients and family members reading open notes, 17% perceived a mistake, 44% of those considered it serious, and 56% of those with a serious perceived error contacted the provider. Barriers included not knowing how to report and fear of being seen as a “troublemaker,” while respondents recommended clearer online reporting mechanisms and cultural change.

Key findings

  • Among 8,648 participants who read at least 1 note, 1,434 (17%) identified ≥1 perceived mistake; 627/1,434 (44%) considered it serious, and 342/614 (56%) contacted the provider’s office, while 272/614 (44%) did not.
  • Among 272 non-reporters of a serious perceived mistake, barriers were not knowing one could report a mistake (61%), not wanting to be perceived as a “troublemaker” (34%), not knowing whom to call or talk to (27%), being unsure if it was important (23%), worrying about annoying the provider (22%), and feeling nothing would be done (21%).
  • In exploratory logistic regression among 442 respondents with a serious perceived mistake and demographic data, those self-identifying as Black or African American, Asian, other, or multiple race(s) (OR 0.50; 95% CI 0.26–0.97) and those reporting poorer health (OR 0.58; 95% CI 0.37–0.90) were less likely to contact the provider.
  • Qualitative analysis of 476 free-text comments yielded 568 recommendations: 65% recommended clear instructions about how and whom to report to, 24% described needed cultural change, and 17% proposed innovations for reporting and fixing EHR mistakes.

Methods

  • Mixed-method analysis of a 2016 electronic survey at 2 northeast US academic medical centers; eligible participants were adult patients and pediatric family portal account holders with at least 1 available open note in the prior 12 months.
  • Invitations went to 24,722 adult patients and 21,579 pediatric patient families; 6,913 adults (28%) and 3,672 pediatric families (17%) completed the survey, yielding a 10,252-patient/family study population.
  • Analyses included descriptive statistics, χ² tests, logistic regression for confidence finding mistakes and likelihood of contacting the provider, and qualitative coding of free-text recommendations by two researchers using a consensus codebook.

Limitations

  • The paper states the response rate was low; a relatively small proportion reported a perceived error; most respondents were white, employed, and well-educated; race/ethnicity findings were exploratory with grouped categories due to small sample size; the study was limited to portal users; severity was judged by participants and not verified by chart review or clinician assessment; and age, mental health, preferred language, and health literacy were not examined.
  • Evident from the text: the data are cross-sectional and self-reported, with no independent verification of perceived errors or reporting behavior, and the pediatric sample was predominantly parents or guardians rather than adolescent patients.
  • Evident from the text: at the adult hospital only a random half of eligible patients were invited, and participant–nonparticipant comparisons were possible only at the adult hospital.

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Integrity signals

Registry

Crossref · 10.1093/jamia/ocaa293

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Citations

Cites

Show all 43 references

Research works printed but not linked: 2

  1. Muñana, 2019, Data Note: Public's Experiences with Electronic Health Records
  2. 2014, Safety is Personal: Partnering with Patients and Families for the Safest Care

Cited by

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Metadata

Authors
Lam, B. D., Bourgeois, F., Dong, Z. J., & Bell, S. K.
Affiliations
  • Beth Israel Deaconess Medical Center (US)
  • Boston Children's Hospital (US)
Corresponding author
Lam, Barbara D
Venue
Journal of the American Medical Informatics Association
Published
2020-12-23
Volume
28
Issue
4
Pages
685-694
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W3116523421
Cited by
29
References
43
Citations by year
2026: 2 · 2025: 3 · 2024: 5 · 2023: 7 · 2022: 9 · 2021: 3
FWCI
3.48
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • Journal of the American Medical Informatics Association (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
Funders
  • CRICO
  • Risk Management Foundation
  • Harvard Medical Institutions
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
Keywords
open notes, patient portals, patient safety, speaking up, patient engagement, family involvement, outpatient care, racial disparities, patient-provider communication
MeSH terms
Data Accuracy, Patient Portals, Adult, Attitude to Health, Child, Ethnicity, Humans, Patient Participation, Professional-Family Relations, Surveys and Questionnaires, Patient Access to Records, Electronic Health Records

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This page
CoChat. (2026). Citation check: Speaking up about patient-perceived serious visit note errors: Patient and family experiences and recommendations. https://app.cochat.ai/papers/10.1093/jamia/ocaa293
The paper
Lam, B. D., Bourgeois, F., Dong, Z. J., & Bell, S. K. (2021). Speaking up about patient-perceived serious visit note errors: Patient and family experiences and recommendations. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocaa293

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.