Corrigendum to: Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers
-
David E. Newman-Toker
, Adam C. Schaffer
, C. Winnie Yu-Moe , Najlla Nassery , Ali S. Saber Tehrani , Gwendolyn D. Clemens , Zheyu Wang , Yuxin Zhu , Mehdi Fanai and Dana Siegal
Corrigendum to: David E. Newman-Toker, Adam C. Schaffer, C. Winnie Yu-Moe, Najlla Nassery, Ali S. Saber Tehrani, Gwendolyn D. Clemens, Zheyu Wang, Yuxin Zhu, Mehdi Fanai, and Dana Siega. 2019. Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers. Diagnosis. Volume 6, Issue 3, pages 227–240. (DOI: https://doi.org/10.1515/dx-2019-0019).
In Table 3 of the original manuscript, the “Big Three % of High Severity” from “Non-claims sources” (final column) was incorrect. Instead of “76.8% (n=159/207)” (incorrect), it should have read “75.8% (n=157/207)” (correct).
Big Three disease proportions in the current study based on claims vs. non-claims-based studies.a
| Big Three category/subcategory | Malpractice claims cases (current study, CRICO CBS 2006–2015, n=11,592) | Non-claims sources (physician surveys, primary care and ED triggered chart reviews, ED physician voluntary reports, general autopsies, ICU autopsies)b |
|---|---|---|
| Big Three % of any severity (n) | 61.7% (n=7149/11,592) | 58.5% (n=717/1226)c |
| Vascular | 17.4% (n=2019) | 23.4% (n=287) |
| Infection | 14.3% (n=1660) | 19.7% (n=241) |
| Cancer | 29.9% (n=3470) | 15.4% (n=189) |
| Other | 38.3% (n=4443) | 41.5% (n=509) |
| Big Three % of high severity (n) | 74.1% (n=5469/7379) | 75.8% (n=157/207)d |
| Vascular | 22.8% (n=1684) | 32.9% (n=68) |
| Infection | 13.4% (n=992) | 17.4% (n=36) |
| Cancer | 37.9% (n=2793) | 25.6% (n=53) |
| Other | 25.9% (n=1910) | 24.2% (n=50) |
| Big Three % of deaths (n) | 75.3% (n=2944/3912) | 81.2% (n=604/744)e |
| Vascular | 30.5% (n=1192) | 27.2% (n=202) |
| Infection | 15.4% (n=602) | 45.8% (n=341) |
| Cancer | 29.4% (n=1150) | 8.2% (n=61)b |
| Other | 24.7% (n=968) | 18.8% (n=140) |
aAdditional details may be found in Supplementary materials C1/C2, including Tables S11–S12. bGeneral autopsies and ICU autopsies are fairly homogeneous with respect to missed Big Three diseases as causes of death (Table S12 – general 73–82%; ICU 78–82%), so are combined here. However, cancers are far less frequent among ICU deaths relative to all (general autopsy) deaths (see Table S12 for details). As a result, the data shown here in Table 3 (which over-represent ICU data relative to general autopsy data) are skewed toward under-representing missed cancers as causes of death. Similarly, they slightly over-represent vascular events and infections. cStudies from frontline clinical practice (five studies 2009–2016, n=1226 errors) [4, 26, 28, 41, 42]. dStudies from frontline clinical practice (two studies 2009–2012, n=207 errors) [26, 28]. eAutopsy studies (45 general and ICU-based studies 1947–2011, n=8377 autopsies; n=744 errors) [7, 8, 12, 13]. There were two multi-year general autopsy studies representing 2144 autopsies and 43 ICU-based studies (30 adult, seven pediatric, six neonatal) representing 6271 autopsies. Only 24 of 30 adult studies reported on the disease breakdown, so the totals here reflect only 39 autopsy studies. CRICO CBS, Controlled Risk Insurance Company Comparative Benchmarking System; ED, emergency department; ICU, intensive care unit.
©2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Driving on a highway to hell I found the stairway to heaven. A mentorship lecture intermixed with rock music and a quiz
- Review
- Updated overview on the interplay between obesity and COVID-19
- Mini Review
- Challenges and opportunities for integrating genetic testing into a diagnostic workflow: heritable long QT syndrome as a model
- Opinion Papers
- Making sense of rapid antigen testing in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnostics
- Interpreting clinical and laboratory tests: importance and implications of context
- Predicting mortality with cardiac troponins: recent insights from meta-analyses
- Guidelines and Recommendations
- Operational measurement of diagnostic safety: state of the science
- Original Articles
- Rate of diagnostic errors and serious misdiagnosis-related harms for major vascular events, infections, and cancers: toward a national incidence estimate using the “Big Three”
- Pyoderma gangrenosum underrepresentation in non-dermatological literature
- Assessing the utility of a differential diagnostic generator in UK general practice: a feasibility study
- Assessing physical examination skills using direct observation and volunteer patients
- Clinicians’ and laboratory medicine specialists’ views on laboratory demand management: a survey in nine European countries
- Letters to the Editor
- Frequency of repetitive laboratory testing in patients transferred from the Emergency Department to hospital wards: a 3-month observational study
- Letter in response to Vanstone paper on diagnostic intuition
- Corrigenda
- Corrigendum to: Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers
- Clinical problem solving and social determinants of health: a descriptive study using unannounced standardized patients to directly observe how resident physicians respond to social determinants of health
- Acknowledgment
- Acknowledgment
Articles in the same Issue
- Frontmatter
- Editorial
- Driving on a highway to hell I found the stairway to heaven. A mentorship lecture intermixed with rock music and a quiz
- Review
- Updated overview on the interplay between obesity and COVID-19
- Mini Review
- Challenges and opportunities for integrating genetic testing into a diagnostic workflow: heritable long QT syndrome as a model
- Opinion Papers
- Making sense of rapid antigen testing in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) diagnostics
- Interpreting clinical and laboratory tests: importance and implications of context
- Predicting mortality with cardiac troponins: recent insights from meta-analyses
- Guidelines and Recommendations
- Operational measurement of diagnostic safety: state of the science
- Original Articles
- Rate of diagnostic errors and serious misdiagnosis-related harms for major vascular events, infections, and cancers: toward a national incidence estimate using the “Big Three”
- Pyoderma gangrenosum underrepresentation in non-dermatological literature
- Assessing the utility of a differential diagnostic generator in UK general practice: a feasibility study
- Assessing physical examination skills using direct observation and volunteer patients
- Clinicians’ and laboratory medicine specialists’ views on laboratory demand management: a survey in nine European countries
- Letters to the Editor
- Frequency of repetitive laboratory testing in patients transferred from the Emergency Department to hospital wards: a 3-month observational study
- Letter in response to Vanstone paper on diagnostic intuition
- Corrigenda
- Corrigendum to: Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers
- Clinical problem solving and social determinants of health: a descriptive study using unannounced standardized patients to directly observe how resident physicians respond to social determinants of health
- Acknowledgment
- Acknowledgment