Types Of Diagnostic Errors Research Articles

Characterization of Errors in Retinopathy of Prematurity Diagnosis by Ophthalmologists-in-Training in the United States and Canada.

To identify the prominent factors that lead to misdiagnosis of retinopathy of prematurity (ROP) by ophthalmologists-in-training in the United States and Canada. This prospective cohort study included 32 ophthalmologists-in-training at six ophthalmology training programs in the United States and Canada. Twenty web-based cases of ROP using wide-field retinal images were presented, and ophthalmologists-in-training were asked to diagnose plus disease, zone, stage, and category for each eye. Responses were compared to a consensus reference standard diagnosis for accuracy, which was established by combining the clinical diagnosis and the image-based diagnosis by multiple experts. The types of diagnostic errors that occurred were analyzed with descriptive and chi-squared analysis. Main outcome measures were frequency of types (category, zone, stage, plus disease) of diagnostic errors; association of errors in zone, stage, and plus disease diagnosis with incorrectly identified category; and performance of ophthalmologists-in-training across postgraduate years. Category of ROP was misdiagnosed at a rate of 48%. Errors in classification of plus disease were most commonly associated with misdiagnosis of treatment-requiring (plus error rate = 16% when treatment-requiring was correctly diagnosed vs 81% when underdiagnosed as type 2 or pre-plus; mean difference: 64.3; 95% CI: 51.9 to 76.7; P < .001) and type 2 or pre-plus (plus error rate = 35% when type 2 or pre-plus was correctly diagnosed vs 76% when overdiagnosed as treatment-requiring; mean difference: 41.0; 95% CI: 28.4 to 53.5; P < .001) disease. The diagnostic error rate of postgraduate year (PGY)-2 trainees was significantly higher than PGY-3 trainees (PGY-2 category error rate = 61% vs PGY-3 = 35%; mean difference, 25.4; 95% CI: 17.7 to 33.0; P < .001). Ophthalmologists-in-training in the United States and Canada misdiagnosed ROP nearly half of the time, with incorrect identification of plus disease as a leading cause. Integration of structured learning for ROP in residency education may improve diagnostic competency. [J Pediatr Ophthalmol Strabismus. 2023;60(5):337-343.].

Characterization of Errors in Retinopathy of Prematurity Diagnosis by Ophthalmologists-in-Training in Middle-Income Countries.

To characterize common errors in the diagnosis of retinopathy of prematurity (ROP) among ophthalmologistsin-training in middle-income countries. In this prospective cohort study, 200 ophthalmologists-in-training from programs in Brazil, Mexico, and the Philippines participated. A secure web-based educational system was developed using a repository of more than 2,500 unique image sets of ROP, and a reference standard diagnosis was established by combining the clinical diagnosis and the image-based diagnosis by multiple experts. Twenty web-based cases of wide-field retinal images were presented, and ophthalmologists-in-training were asked to diagnose plus disease, zone, stage, and category for each eye. Trainees' responses were compared to the consensus reference standard diagnosis. Main outcome measures were frequency and types of diagnostic errors were analyzed. The error rate in the diagnosis of any category of ROP was between 48% and 59% for all countries. The error rate in identifying type 2 or pre-plus disease was 77%, with a tendency for overdiagnosis (27% underdiagnosis vs 50% overdiagnosis; mean difference: 23.4; 95% CI: 12.1 to 34.7; P = .005). Misdiagnosis of treatment-requiring ROP as type 2 ROP was most commonly associated with incorrectly identifying plus disease (plus disease error rate = 18% with correct category diagnosis vs 69% when misdiagnosed; mean difference: 51.0; 95% CI: 49.3 to 52.7; P = .003). Ophthalmologists-in-training from middle-income countries misdiagnosed ROP more than half of the time. Identification of plus disease was the salient factor leading to incorrect diagnosis. These findings emphasize the need for improved access to ROP education to improve competency in diagnosis among ophthalmologists-in-training in middle-income countries. [J Pediatr Ophthalmol Strabismus. 2023;60(5):344-352.].

A Target Population Derived Method for Developing a Competency Standard in Radiograph Interpretation

Construct For assessing the skill of visual diagnosis such as radiograph interpretation, competency standards are often developed in an ad hoc method, with a poorly delineated connection to the target clinical population. Background Commonly used methods to assess for competency in radiograph interpretation are subjective and potentially biased due to a small sample size of cases, subjective evaluations, or include an expert-generated case-mix versus a representative sample from the clinical field. Further, while digital platforms are available to assess radiograph interpretation skill against an objective standard, they have not adopted a data-driven competency standard which informs educators and the public that a physician has achieved adequate mastery to enter practice where they will be making high-stakes clinical decisions. Approach Operating on a purposeful sample of radiographs drawn from the clinical domain, we adapted the Ebel Method, an established standard setting method, to ascertain a defensible, clinically relevant mastery learning competency standard for the skill of radiograph interpretation as a model for deriving competency thresholds in visual diagnosis. Using a previously established digital platform, emergency physicians interpreted pediatric musculoskeletal extremity radiographs. Using one-parameter item response theory, these data were used to categorize radiographs by interpretation difficulty terciles (i.e. easy, intermediate, hard). A panel of emergency physicians, orthopedic surgeons, and plastic surgeons rated each radiograph with respect to clinical significance (low, medium, high). These data were then used to create a three-by-three matrix where radiographic diagnoses were categorized by interpretation difficulty and significance. Subsequently, a multidisciplinary panel that included medical and parent stakeholders determined acceptable accuracy for each of the nine cells. An overall competency standard was derived from the weighted sum. Finally, to examine consequences of implementing this standard, we reported on the types of diagnostic errors that may occur by adhering to the derived competency standard. Findings To determine radiograph interpretation difficulty scores, 244 emergency physicians interpreted 1,835 pediatric musculoskeletal extremity radiographs. Analyses of these data demonstrated that the median interpretation difficulty rating of the radiographs was −1.8 logits (IQR −4.1, 3.2), with a significant difference of difficulty across body regions (p < 0.0001). Physician review classified the radiographs as 1,055 (57.8%) as low, 424 (23.1%) medium or 356 (19.1%) high clinical significance. The multidisciplinary panel suggested a range of acceptable scores between cells in the three-by-three table of 76% to 95% and the sum of equal-weighted scores resulted in an overall performance-based competency score of 85.5% accuracy. Of the 14.5% diagnostic interpretation errors that may occur at the bedside if this competency standard were implemented, 9.8% would be in radiographs of low-clinical significance, while 2.5% and 2.3% would be in radiographs of medium or high clinical significance, respectively. Conclusion(s) This study’s novel integration of radiograph selection and a standard setting method could be used to empirically drive evidence-based competency standard for radiograph interpretation and can serve as a model for deriving competency thresholds for clinical tasks emphasizing visual diagnosis.

Misdiagnosis of Third Nerve Palsy.

This study identifies the diagnostic errors leading to misdiagnosis of 3rd nerve palsy and to aid clinicians in making this diagnosis. The objective of this article is to determine the incidence of misdiagnosis of 3rd cranial nerve palsy (3rd nerve palsy) among providers referring to a tertiary care neuro-ophthalmology clinic and to characterize diagnostic errors that led to an incorrect diagnosis. This was a retrospective clinic-based multicenter cross-sectional study of office encounters at 2 institutions from January 1, 2014, to January 1, 2017. All encounters with scheduling comments containing variations of "3rd nerve palsy" were reviewed. Patients with a documented referral diagnosis of new 3rd nerve palsy were included in the study. Examination findings, including extraocular movement examination, external lid examination, and pupil examination, were collected. The final diagnosis was determined by a neuro-ophthalmologist. The Diagnosis Error Evaluation and Research (DEER) taxonomy tool was used to categorize the causes of misdiagnosis. Seventy-eight patients referred were for a new diagnosis of 3rd nerve palsy. The main outcome measure was the type of diagnostic error that led to incorrect diagnoses using the DEER criteria as determined by 2 independent reviewers. Secondary outcomes were rates of misdiagnosis, misdiagnosis rate by referring specialty, and examination findings associated with incorrect diagnoses. Of 78 patients referred with a suspected diagnosis of 3rd nerve palsy, 21.8% were determined to have an alternate diagnosis. The most common error in misdiagnosed cases was failure to correctly interpret the physical examination. Ophthalmologists were the most common referring provider for 3rd nerve palsy, and optometrists had the highest overdiagnosis rate of 3rd nerve palsy. Misdiagnosis of 3rd nerve palsy was common. Performance and interpretation of the physical examination were the most common factors leading to misdiagnosis of 3rd nerve palsy.

Prevalence and characterisation of diagnostic error among 7-day all-cause hospital medicine readmissions: a retrospective cohort study

BackgroundThe prevalence and aetiology of diagnostic error among hospitalised adults is unknown, though likely contributes to patient morbidity and mortality. We aim to identify and characterise the prevalence and types...

Validating injury-related diagnoses by physicians: an analysis of 62,269 hospitalizations from a large hospital in Changsha, China

ObjectiveTo assess the accuracy of injury-related hospitalization diagnoses by physicians in China. Methods62,269 hospitalizations between 2014 and 2016 at a large hospital in Changsha, China were assessed. We considered three types of diagnostic errors: under-reporting, lack of cause specificity, and misclassification across injury causes. Diagnosis and coding of diseases were ascertained by professional coders based on the tenth International Classification of Disease (ICD-10). Chi square tests examined the proportion difference across subgroups of patient demographics, injury intent, and injury cause. ResultsThe 62,269 records included 1011 injury-induced hospitalizations, but physicians’ diagnoses only reported 405 (40%) of the 1011 hospitalizations as injury-related. The proportions of under-reporting, lack of cause specificity, and misclassification errors, respectively, were 50.5%, 7.9% and 1.5%. The proportion of diagnostic errors was relatively similar across patient sex, intent of injury, and cause of injury subgroups, but varied substantially across patient age groups. ConclusionPhysicians’ diagnoses frequently omitted injury-induced hospitalizations. Such errors will impact injury research and policy-making when they are undetected and uncorrected.

Frequency of Different Types of Diagnostic Errors in Patients with Central Nervous System Infections: A Cross-Sectional Observational Study.

Objectives To assess the frequency of different types of diagnostic errors in patients with central nervous system (CNS) infection from the onset of symptoms to admission to the hospital, where the correct diagnosis was made. Methods A cross-sectional observational design was used, and the information was collected by interviewing patients and/or their knowledgeable relatives as well as reviewing the accompanying medical record documents and hospital records. Results Of 169 adult patients with CNS infection, 129 (76.33%) were subject to diagnostic errors. Failure in ordering tests and hypothesis generation were the most common types of diagnostic errors that accounted for more than 70% of errors. Several contributing factors that were associated with incorrect diagnostic hypotheses included failure in taking a patient's comprehensive history such as detecting relevant epidemiological clues, conducting a full clinical examination, and interpreting diagnostic evidence. The relationship between poor clinical outcome and longer delay from the onset of illness to diagnosis, inappropriate empirical antibiotic therapy, and lower level of consciousness on admission were found to be statistically significant. Conclusions Although diagnosis and management of CNS infection in some patients are straightforward, clinical decision making in facing patients with complex scenarios often requires clinical reasoning instead of relying only on intuitive diagnosis. Justification in requesting diagnostic measures and interpretation of their results based on clinical findings and patient information could be a critical factor in preventing a substantial number of diagnostic errors in patients with CNS infection.

Avoiding diagnostic errors in psychosomatic medicine: a case series study

BackgroundNon-organic lesions or diseases of unknown origin are sometimes misdiagnosed as “psychogenic” disorders or “psychosomatic” diseases. For the quality of life and safety of patients, recent attention has focused on diagnostic error. The aim of this study was to clarify the factors that affected misdiagnoses in psychosomatic medicine by examining typical cases and to explore strategies that reduce diagnostic errors.Case presentationThe study period was from January 2001 to August 2017. The data of patients who had visited the Department of Psychosomatic Medicine, Kindai University Hospital and its branches, Sakai Hospital and Nihonbashi Clinic, were collected. All patients were aged 16 years or over. Multiple factors, such as age, sex, presenting symptoms, initial diagnosis, final diagnosis, sources of re-diagnosis and types of diagnostic errors were retrospectively analyzed from the medical charts of 20 patients. Among them, four typical cases can be described as follows. Case 1; a 79-year-old woman, initially diagnosed with psychogenic vomiting due to depression that was changed to gastric torsion as the final diagnosis. Case 2; a 24-year-old man, diagnosed with an eating disorder that was later changed to esophageal achalasia. Case 10; a 60-year-old woman’s diagnosis changed from conversion disorder to localized muscle atrophy. Case 19; a 68-year-old man, appetite loss from depression due to cancer changed to secondary adrenal insufficiency, isolated ACTH deficiency (IAD).ConclusionThis study showed that multiple factors related to misdiagnoses were combined and had a mutual influence. However, they can be summarized into two important clinical observations, diagnostic system-related problems and provider issues. Provider issues contain mainly cognitive biases such as Anchoring, Availability, Confirmation bias, Delayed diagnosis, and Representativeness. In order to avoid diagnostic errors, both a diagnostic system approach and the reduction of cognitive biases are needed. Psychosomatic medicine doctors should pay more attention to physical symptoms and systemic examination and can play an important role in accepting a perception of patients based on a good, non prejudicial patient/physician relationship.

Diagnostic errors in paediatric cardiac intensive care.

Paediatric cardiac ICU practitioners including attending and trainee physicians, nurse practitioners, physician assistants, and registered nurses at three North American tertiary cardiac centres were surveyed between October 2014 and January 2015. The response rate was 46% (N=200). Most respondents (81%) perceived that diagnostic errors harm patients more than five times per year. More than half (65%) reported that errors permanently harm patients, and up to 18% perceived that diagnostic errors contributed to death or severe permanent harm more than five times per year. Medication side effects and psychiatric conditions were thought to be most commonly misdiagnosed. Physician groups also ranked pulmonary overcirculation and viral illness to be commonly misdiagnosed as bacterial illness. Inadequate care coordination, data assessment, and high clinician workload were cited as contributory factors. Delayed diagnostic studies and interventions related to the severity of the patient's condition were thought to be the most commonly reported process breakdowns. All surveyed groups ranked improving teamwork and feedback pathways as strategies to explore for preventing future diagnostic errors. Paediatric cardiac intensive care practitioners perceive that diagnostic errors causing permanent harm are common and associated more with systematic and process breakdowns than with cognitive limitations.

Types of diagnostic errors in neurological emergencies in the emergency department.

Neurological emergencies often pose diagnostic challenges for emergency physicians because these patients often present with atypical symptoms and standard imaging tests are imperfect. Misdiagnosis occurs due to a variety of errors. These can be classified as knowledge gaps, cognitive errors, and systems-based errors. The goal of this study was to describe these errors through review of quality assurance (QA) records. This was a retrospective pilot study of patients with neurological emergency diagnoses that were missed or delayed at one urban, tertiary academic emergency department. Cases meeting inclusion criteria were identified through review of QA records. Three emergency physicians independently reviewed each case and determined the type of error that led to the misdiagnosis. Proportions, confidence intervals, and a reliability coefficient were calculated. During the study period, 1168 cases were reviewed. Forty-two cases were found to include a neurological misdiagnosis and twenty-nine were determined to be the result of an error. The distribution of error types was as follows: knowledge gap 45.2% (95% CI 29.2, 62.2), cognitive error 29.0% (95% CI 15.9, 46.8), and systems-based error 25.8% (95% CI 13.5, 43.5). Cerebellar strokes were the most common type of stroke misdiagnosed, accounting for 27.3% of missed strokes. All three error types contributed to the misdiagnosis of neurological emergencies. Misdiagnosis of cerebellar lesions and erroneous radiology resident interpretations of neuroimaging were the most common mistakes. Understanding the types of errors may enable emergency physicians to develop possible solutions and avoid them in the future.

Diagnostic error in children presenting with acute medical illness to a community hospital.

To determine incidence and aetiology of diagnostic errors in children presenting with acute medical illness to a community hospital. A three-stage study was conducted. Stage 1: retrospective case note review, comparing admission to discharge diagnoses of children admitted to hospital, to determine incidence of diagnostic error. Stage 2: cases of suspected misdiagnosis were examined in detail by two reviewers. Stage 3: structured interviews were conducted with clinicians involved in these cases to identify contributory factors. UK community (District General) hospital. All medical patients admitted to the paediatric ward and patients transferred from the Emergency Department to a different facility over a 90-day period were included. Incidence of diagnostic error, type of diagnostic error and content analysis of the structured interviews to determine frequency of emerging themes. Incidence of misdiagnosis in children presenting with acute illness was 5.0% (19/378, 95% confidence interval (CI) 2.8-7.2%). Diagnostic errors were multi-factorial in origin, commonly involving cognitive factors. Reviewers 1 and 2 identified a median of three and four errors per case, respectively. In 14 cases, structured interviews were possible; clinicians believed system-related errors (organizational flaws, e.g. inadequate policies, staffing or equipment) contributed more commonly to misdiagnoses, whereas reviewers found cognitive factors contributed more commonly to diagnostic error. Misdiagnoses occurred in 5% of children presenting with acute illness and were multi-factorial in aetiology. Multi-site longitudinal studies further exploring aetiology of errors and effect of educational interventions are required to generalize these findings and determine strategies for mitigation.

Problematic Boundaries in the Diagnosis of Bipolar Disorder: The Interface with Borderline Personality Disorder

It is clinically important to recognize both bipolar disorder and borderline personality disorder (BPD) in patients seeking treatment for depression, and it is important to distinguish between the two. The most studied question on the relationship between BPD and bipolar disorder is their diagnostic concordance. Across studies approximately 10 % of patients with BPD had bipolar I disorder and another 10 % had bipolar II disorder. Likewise, approximately 20 % of bipolar II patients were diagnosed with BPD, though only 10 % of bipolar I patients were diagnosed with BPD. While the comorbidity rates are substantial, each disorder is, nonetheless, diagnosed in the absence of the other in the vast majority of cases (80-90 %). In studies examining personality disorders broadly, other personality disorders were more commonly diagnosed in bipolar patients than was BPD. Likewise, the converse is also true: other axis I disorders such as major depression, substance abuse, and post-traumatic stress disorder are more commonly diagnosed in patients with BPD than is bipolar disorder. Studies comparing patients with BPD and bipolar disorder find significant differences on a range of variables. These findings challenge the notion that BPD is part of the bipolar spectrum. While a substantial literature has documented problems with the under-recognition and under-diagnosis of bipolar disorder, more recent studies have found evidence of bipolar disorder over-diagnosis and that BPD is a significant contributor to over-diagnosis. Re-conceptualizing the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, diagnostic criteria for bipolar disorder as a type of test, rather than the final word on diagnosis, shifts the diagnostician from thinking solely whether a patient does or does not have a disorder to considering the risks of false-positive and false-negative diagnoses, and the ease by which each type of diagnostic error can be corrected by longitudinal observation.

Mastocytosis – A Disease of the Hematopoietic Stem Cell

Mastocytosis is an unusual clonal disease of the hematopoietic stem cell. This article is based on a selective literature search and on the authors' clinical and pathological experience. The clinical manifestations of mastocytosis range from cutaneous mastocytosis, a common, prognostically favorable presentation, to mast cell leukemia, a rare, life-threatening disease. The mediator-induced symptoms usually respond well to H1 antihistamines. Therapeutic standards for cytoreduction in the progressive, systemic forms of mastocytosis are still lacking. Because some of the manifestations of mastocytosis are nonspecific and can be mimicked by other diseases, there is a risk of two types of diagnostic error: Mastocytosis may remain undiagnosed when it is actually present, or it may be diagnosed even though morphological and molecular findings rule out mastocytosis. Well-defined criteria should be used to differentiate mastocytosis from other diseases with a similar clinical presentation.

A cost-minimizing diagnostic methodology for discrimination between neoplastic and non-neoplastic brain lesions: utilizing a genetic algorithm 1 scientific reports

Rational and Objectives. The purpose of this study was to make an improvement in the performance of a logistic regression model in predicting the presence of brain neoplasia with magnetic resonance spectroscopy data by using a new approach for logistic regression coefficient estimation. This new approach, termed cost minimizing (C-min), introduced by one of the authors (Chetty), uses the cost function for prediction outcomes to estimate model coefficients and the prediction decision rule. To do this requires use of a genetic algorithm. Materials and Methods. Consecutive patients with suspected brain neoplasms or recurrent neoplasia referred for magnetic resonance spectroscopy were enrolled once a final diagnosis was established by histopathology or clinical course, laboratory data, and serial imaging. For the same magnetic resonance spectroscopy explanatory (input) variables, logistic regression models were constructed with conventional and C-min coefficient estimates, and sensitivity and specificity outcomes were compared at alternative probability threshold levels. Results. The C-min approach dominated the conventional approach in 14 of 18 trials, in that C-min had either fewer of both false negatives and false positives, or it had the same number of one type, and less of the other type of diagnostic error. C-min was always less costly. Conclusion. The C-min approach to logistic or other regression model estimation may be a step forward in reducing the cost and, often, the errors of diagnostic (and treatment) processes. However, this new approach must be validated on larger and more varied datasets, and its statistical performance characteristics determined before it can be implemented as a practical clinical tool.

Valor del estudio anatomopatológico en cuidados intensivos pediátricos

Autopsy is being used less and less frequently in paedriatrics inspite of giving valuable and at times unsuspected clinical information. This could partly be explained in the greater availibility of non-invasive diagnostic techniques and fundamentally in the difficulty of obtaining parental consent to perform them. However, to clarify the cause of death is of great importance not only for the medical team but also for the family. We performed a retrospective analysis of mortality during a 4 year period, classifying the pathology in accordance with the criteria of Goldman with respect to diagnostic groups and autopsy findings. 87 patients died, autopsy being performed in 61, 47 in the hospital Dr. Sotero del Rio and 14 in the Medico-Legal Institute. Parental consent was not obtained in 26 patients (36%). There was no correlation between autopsy findings and the primary diagnostic variables, age, time spent in ITU, and PRISM (Paedriatric Risk of Mortality scale). In 26% of cases there were some type of diagnostic error, 11% corresponding to Goldman type I (diagnosis revealed at autopsy and which could have modified the treatment and outcome, and 15% type II. Thus autopsy should still be considered as an integral part of medical evaluation of the paedriatric patient.

Changes in the Diagnostic Process During 40 Years of Clinicopathologic Conferences

The topics and diagnostic discussions have been analyzed for the clinicopathologic conferences of the Massachusetts General Hospital, which were published during 1922, 1942, and 1962. The general distribution of topics has remained similar through the years, and the diseases under survey have remained almost exclusively entities of morbid anatomy, with "answers" provided by morphologic evidence. The general accuracy of pre-mortem diagnosis has declined during the 40-year period, probably because increasingly difficult cases have been selected for the conferences, although a misplaced confidence in para-clinical tests may be a contributing factor. In the diagnosis of cardiovascular-respiratory problems, almost half of the errors were due to "inaccurate focus." Other types of diagnostic errors were due to omission, inappropriate exclusion, and extraneous addition.