Cited by 662Clinical Reasoning and Diagnostic SkillsMedical Malpractice and Liability IssuesPatient Safety and Medication Errors

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Missed and Delayed Diagnoses in the Ambulatory Setting: A Study of Closed Malpractice Claims

Gandhi, Tejal K., Kachalia, Allen, Thomas, Eric J., Puopolo, Ann Louise, Yoon, Catherine, Brennan, Troyen A., Studdert, David M.·2006·Annals of Internal Medicine

DOI 10.7326/0003-4819-145-7-200610030-00006

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Abstract

BACKGROUND: Although missed and delayed diagnoses have become an important patient safety concern, they remain largely unstudied, especially in the outpatient setting. OBJECTIVE: To develop a framework for investigating missed and delayed diagnoses, advance understanding of their causes, and identify opportunities for prevention. DESIGN: Retrospective review of 307 closed malpractice claims in which patients alleged a missed or delayed diagnosis in the ambulatory setting. SETTING: 4 malpractice insurance companies. MEASUREMENTS: Diagnostic errors associated with adverse outcomes for patients, process breakdowns, and contributing factors. RESULTS: A total of 181 claims (59%) involved diagnostic errors that harmed patients. Fifty-nine percent (106 of 181) of these errors were associated with serious harm, and 30% (55 of 181) resulted in death. For 59% (106 of 181) of the errors, cancer was the diagnosis involved, chiefly breast (44 claims [24%]) and colorectal (13 claims [7%]) cancer. The most common breakdowns in the diagnostic process were failure to order an appropriate diagnostic test (100 of 181 [55%]), failure to create a proper follow-up plan (81 of 181 [45%]), failure to obtain an adequate history or perform an adequate physical examination (76 of 181 [42%]), and incorrect interpretation of diagnostic tests (67 of 181 [37%]). The leading factors that contributed to the errors were failures in judgment (143 of 181 [79%]), vigilance or memory (106 of 181 [59%]), knowledge (86 of 181 [48%]), patient-related factors (84 of 181 [46%]), and handoffs (36 of 181 [20%]). The median number of process breakdowns and contributing factors per error was 3 for both (interquartile range, 2 to 4). LIMITATIONS: Reviewers were not blinded to the litigation outcomes, and the reliability of the error determination was moderate. CONCLUSIONS: Diagnostic errors that harm patients are typically the result of multiple breakdowns and individual and system factors. Awareness of the most common types of breakdowns and factors could help efforts to identify and prioritize strategies to prevent diagnostic errors.

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The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
To Err Is Human
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390
Book Review
Wall, A. (2000) · British Journal of Healthcare Management · doi:10.12968/bjhc.2000.6.9.19311 · Cited by 5,912
Incidence of Adverse Events and Negligence in Hospitalized Patients
Brennan, T. A., Leape, L. L., Laird, N. M., Hebert, L. E., Localio, A. R., Lawthers, A. G., Newhouse, J. P., Weiler, P. C., & Hiatt, H. H. (1991) · New England Journal of Medicine · doi:10.1056/nejm199102073240604 · Cited by 4,631
Self-citation
Managing the Risks of Organizational Accidents
REASON, J. T. (2016) · Routledge eBooks · doi:10.4324/9781315543543 · Cited by 4,523
Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success
Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005) · BMJ · doi:10.1136/bmj.38398.500764.8f · Cited by 2,703
Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention
Bates, D. W. (1995) · JAMA · doi:10.1001/jama.1995.03530010043033 · Cited by 2,127
The Importance of Cognitive Errors in Diagnosis and Strategies to Minimize Them
Croskerry, P. (2003) · Academic Medicine · doi:10.1097/00001888-200308000-00003 · Cited by 1,675
Incidence and Types of Adverse Events and Negligent Care in Utah and Colorado
Thomas, E. J., Studdert, D. M., Burstin, H. R., Orav, E. J., Zeena, T., WILLIAMS, E. J., Howard, K., Weiler, P. C., & Brennan, T. A. (2000) · Medical Care · doi:10.1097/00005650-200003000-00003 · Cited by 1,673
Self-citation
Systems Analysis of Adverse Drug Events
Leape, L. L. (1995) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1995.03530010049034 · Cited by 1,404

Show all 36 references

Research works printed but not linked: 3

Studdert DM, 2000, Indiana Law Rev, 33, 1643
Schoen C, 2004, Health Aff (Millwood), W4
Guthrie C, 2001, Cornell Law Rev, 86, 777

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Authors: Gandhi, T. K., Kachalia, A., Thomas, E. J., Puopolo, A. L., Yoon, C., Brennan, T. A., & Studdert, D. M.
Affiliations: Brigham and Women's Hospital (US)
ORCID: Gandhi, Tejal K.
Kachalia, Allen
Thomas, Eric J.
Yoon, Catherine
Studdert, David M.
Venue: Annals of Internal Medicine
Publisher: American College of Physicians
Published: 2006-10-03
Volume: 145
Issue: 7
Pages: 488-496
ISSN: 0003-4819 (ISSN-L)
1539-3704
DOI: 10.7326/0003-4819-145-7-200610030-00006
OpenAlex: W2128347581
Cited by: 662
References: 36
Citations by year: 2026: 12 · 2025: 25 · 2024: 21 · 2023: 26 · 2022: 33 · 2021: 34 · 2020: 39 · 2019: 41 · 2018: 39 · 2017: 33 · 2016: 32 · 2015: 55 · 2014: 42 · 2013: 42 · 2012: 40
FWCI: 15.82
Type: journal article
Language: en
Open access: closed
Licence: www.acpjournals.org/journal/aim/text-and-data-mining (tdm)
Locations: Annals of Internal Medicine (publishedVersion)
PubMed (publishedVersion)
UCLA - Biblioteca de Ciencias de la Salud (submittedVersion)
Funders: Agency for Healthcare Research and Quality (HS011886-03, KO2HS11285)
Topics: Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
Social Sciences › Law › Medical Malpractice and Liability Issues
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Patient Safety and Medication Errors
Keywords: missed diagnosis, delayed diagnosis, diagnostic errors, malpractice claims, outpatient care, patient safety, cancer diagnosis, breast cancer, colorectal cancer, follow-up care, handover, error prevention
MeSH terms: Adolescent, Adult, Aged, Ambulatory Care, Child, Child, Preschool, Diagnostic Errors, Female, Humans, Infant, Male, Malpractice, Middle Aged, Quality of Health Care, Retrospective Studies, United States

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Missed and Delayed Diagnoses in the Ambulatory Setting: A Study of Closed Malpractice Claims

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