Fahr's disease with neuropsychiatric symptoms and intermittent course: a case report

Fahr's disease is a rare neurodegenerative disorder with brain calcifications and neuropsychiatric symptoms. It can have variable phenotypic expression and intermittent symptomatology, making diagnosis challenging. In this report, we describe a young female patient presenting with symptoms of psychosis and confusion, which could be indicative of a delirium superimposed on the cerebral vulnerability associated with Fahr's disease. Notably, about two years prior, she experienced multiple episodes of tonic-clonic seizures that spontaneously resolved without pharmacological intervention. She had no previous psychiatric history. Following comprehensive investigations, other organic causes were ruled out, and Fahr's disease was diagnosed based on bilateral symmetrical brain calcifications seen on a head CT scan. Her treatment regimen encompassed antipsychotics and anticonvulsants. This case highlights the importance of considering Fahr's disease as a differential diagnosis in patients with new-onset neuropsychiatric symptoms. The case also explores the atypical early onset and intermittent nature of symptoms in the absence of a positive family history, highlighting the complexity of Fahr's disease. A multidisciplinary approach and regular follow-up are crucial for optimizing patient care and monitoring disease progression. Further research is needed to enhance our understanding of Fahr's disease and develop standardized treatment strategies for this rare condition.

Effect of contextual factors on the prevalence of diagnostic errors among patients managed by physicians of the same specialty: a single-centre retrospective observational study

BACKGROUND

There has been growing recognition that contextual factors influence the physician's cognitive processes. However, given that cognitive processes may depend on the physicians' specialties, the effects of contextual factors on diagnostic errors reported in previous studies could be confounded by difference in physicians.

OBJECTIVE

This study aimed to clarify whether contextual factors such as location and consultation type affect diagnostic accuracy.

METHODS

We reviewed the medical records of 1992 consecutive outpatients consulted by physicians from the Department of Diagnostic and Generalist Medicine in a university hospital between 1 January and 31 December 2019. Diagnostic processes were assessed using the Revised Safer Dx Instrument. Patients were categorised into three groups according to contextual factors (location and consultation type): (1) referred patients with scheduled visit to the outpatient department; (2) patients with urgent visit to the outpatient department; and (3) patients with emergency visit to the emergency room. The effect of the contextual factors on the prevalence of diagnostic errors was investigated using logistic regression analysis.

RESULTS

Diagnostic errors were observed in 12 of 534 referred patients with scheduled visit to the outpatient department (2.2%), 3 of 599 patients with urgent visit to the outpatient department (0.5%) and 13 of 859 patients with emergency visit to the emergency room (1.5%). Multivariable logistic regression analysis showed a significantly higher prevalence of diagnostic errors in referred patients with scheduled visit to the outpatient department than in patients with urgent visit to the outpatient department (OR 4.08, p=0.03), but no difference between patients with emergency and urgent visit to the emergency room and outpatient department, respectively.

CONCLUSION

Contextual factors such as consultation type may affect diagnostic errors; however, since the differences in the prevalence of diagnostic errors were small, the effect of contextual factors on diagnostic accuracy may be small in physicians working in different care settings.

Challenging diagnosis of Plasmodium ovale malaria in a Colombian traveler: the importance of including P. ovale wallikeri in molecular screening

This study reports a challenging diagnosis of Plasmodium ovale malaria in a Colombian citizen returning from Cameroon. Initial microscopy screenings conducted at two private hospitals yielded conflicting results, with the first showing negative smears and the second diagnosing P. vivax. Subsequent microscopy examinations at two government laboratories identified P. ovale, although the routine species-specific PCR strategy was negative. PCR confirmation was finally obtained when P. ovale wallikeri primers were used. Although P. ovale is not frequently found in Colombia, there is a clear need to include both P. ovale curtisi and P. ovale wallikeri in the molecular diagnostic strategy. Such need stems primarily from their extended latency period, which affects travelers, the increasing number of African migrants, and the importance of accurately mapping the distribution of Plasmodium species in Colombia.

A patient follow-up intervention to improve medical decision making at an internal medicine residency program

OBJECTIVES

Practice-based learning and improvement (PBLI) is an ACGME (Accreditation Council for Graduate Medical Education) core competency. Learning and reflecting on patients through follow-up is one method to help achieve this competency. We therefore designed a study evaluating a structured patient follow-up intervention for senior internal medicine (IM) residents at the University of Colorado Hospital (UCH).

METHODS

Trainees completed structured reflections after performing chart review of prior patients during protected educational time. Two-month follow-up surveys evaluated the exercise's potential influence on clinical and reflective practices.

RESULTS

Forty out of 108 (37 %) eligible residents participated in the exercise. Despite 62.5 % of participants lacking specific questions about patient outcomes before chart review, 81.2 % found the exercise at least moderately helpful. 48.4 % of participants believed that the review would change their practice, and 60.9 % felt it reinforced their existing clinical practices. In our qualitative data, residents learned lessons related to challenging clinical decisions, improving transitions of care, the significance of early goals of care conversations, and diagnostic errors/strategies.

CONCLUSIONS

Our results indicate that IM residents found a structured patient follow-up intervention educational, even when they lacked specific patient outcomes questions. Our results underscore the importance of structured self-reflection in the continuous learning process of trainees and suggest the benefit of dedicated educational time for this process.

Physiologic measurements of cognitive load in clinical reasoning

OBJECTIVES

Cognitive load is postulated to be a significant factor in clinical reasoning performance. Monitoring physiologic measures, such as heart rate variability (HRV) may serve as a way to monitor changes in cognitive load. The pathophysiology of why HRV has a relationship to cognitive load is unclear, but it may be related to blood pressure changes that occur in a response to mental stress.

METHODS

Fourteen residents and ten attendings from Internal Medicine wore Holter monitors and watched a video depicting a medical encounter before completing a post encounter form used to evaluate their clinical reasoning and standard psychometric measures of cognitive load. Blood pressure was obtained before and after the encounter. Correlation analysis was used to investigate the relationship between HRV, blood pressure, self-reported cognitive load measures, clinical reasoning performance scores, and experience level.

RESULTS

Strong positive correlations were found between increasing HRV and increasing mean arterial pressure (MAP) (p=0.01, Cohen's d=1.41). There was a strong positive correlation with increasing MAP and increasing cognitive load (Pearson correlation 0.763; 95 % CI [; 95 % CI [-0.364, 0.983]). Clinical reasoning performance was negatively correlated with increasing MAP (Pearson correlation -0.446; 95 % CI [-0.720, -0.052]). Subjects with increased HRV, MAP and cognitive load were more likely to be a resident (Pearson correlation -0.845; 95 % CI [-0.990, 0.147]).

CONCLUSIONS

Evaluating HRV and MAP can help us to understand cognitive load and its implications on trainee and physician clinical reasoning performance, with the intent to utilize this information to improve patient care.

Delayed diagnosis of serious paediatric conditions in 13 regional emergency departments

OBJECTIVE

To evaluate rates, risk factors and outcomes of delayed diagnosis of seven serious paediatric conditions.

METHODS

This was a retrospective, cross-sectional study of children under 21 years old visiting 13 community and tertiary emergency departments (EDs) with appendicitis, bacterial meningitis, intussusception, mastoiditis, ovarian torsion, sepsis or testicular torsion. Delayed diagnosis was defined as having a previous ED encounter within 1 week in which the condition was present per case review. Patients with delayed diagnosis were each matched to four control patients without delay by condition, facility and age. Conditional logistic regression models evaluated risk factors of delay. Complications were compared between by delayed diagnosis status.

RESULTS

Among 14 972 children, delayed diagnosis occurred in 1.1% (range 0.3% for sepsis to 2.6% for ovarian torsion). Hispanic (matched OR 2.71, 95% CI 1.69 to 4.35) and non-Hispanic black (OR 2.40, 95% CI 1.21 to 4.79) race/ethnicity were associated with delayed diagnosis, whereas Asian and other race/ethnicity were not. Public (OR 2.21, 95% CI 1.42 to 3.44) and other (OR 2.43, 95% CI 1.50 to 3.93) insurance were also associated with delay. Non-English language was associated with delay (OR 1.65, 95% CI 1.02 to 2.69). Abnormal vital signs were associated with a lower likelihood of delay (OR 0.15, 95% CI 0.09 to 0.25). In an adjusted model, Hispanic race/ethnicity, other insurance, abnormal vital signs and complex chronic conditions (CCCs) were associated with delay. The odds of a complication were 2.5-fold (95% CI 1.6 to 3.8) higher among patients with a delay.

CONCLUSION

Delayed diagnosis was uncommon across 13 regional EDs but was more likely among children with Hispanic ethnicity, CCCs or normal vital signs. Delays were associated with a higher risk of complications.

An electronic trigger to detect telemedicine-related diagnostic errors

INTRODUCTION

The COVID-19 pandemic advanced the use of telehealth-facilitated care. However, little is known about how to measure safety of clinical diagnosis made through telehealth-facilitated primary care.

METHODS

We used the seven-step Safer Dx Trigger Tool framework to develop an electronic trigger (e-trigger) tool to identify potential missed opportunities for more timely diagnosis during primary care telehealth visits at a large Department of Veterans Affairs facility. We then applied the e-trigger algorithm to electronic health record data related to primary care visits during a 1-year period (1 April 2020-31 March 2021). The algorithm identified patients with unexpected visits within 10 days of an index telemedicine visit and classified such records as e-trigger positive. We then validated the e-trigger's ability to detect missed opportunities in diagnosis using chart reviews based on a structured data collection instrument (the Revised Safer Dx instrument).

RESULTS

We identified 128,761 telehealth visits (32,459 unique patients), of which 434 visits led to subsequent unplanned emergency department (ED), hospital, or primary care visits within 10 days of the index visit. Of these, 116 were excluded for clinical reasons (trauma, injury, or childbirth), leaving 318 visits (240 unique patients) needing further evaluation. From these, 100 records were randomly selected for review, of which four were falsely flagged due to invalid data (visits by non-providers or those incorrectly flagged as completed telehealth visits). Eleven patients had a missed opportunity in diagnosis, yielding a positive predictive value of 11%.

DISCUSSION

Electronic triggers that identify missed opportunities for additional evaluation could help advance the understanding of safety of clinical diagnosis made in telehealth-enabled care. Better measurement can help determine which patients can safely be cared for via telemedicine versus traditional in-person visits.

Definitions and Measurements for Atypical Presentations at Risk for Diagnostic Errors in Internal Medicine: Protocol for a Scoping Review

BACKGROUND

Atypical presentations have been increasingly recognized as a significant contributing factor to diagnostic errors in internal medicine. However, research to address associations between atypical presentations and diagnostic errors has not been evaluated due to the lack of widely applicable definitions and criteria for what is considered an atypical presentation.

OBJECTIVE

The aim of the study is to describe how atypical presentations are defined and measured in studies of diagnostic errors in internal medicine and use this new information to develop new criteria to identify atypical presentations at high risk for diagnostic errors.

METHODS

This study will follow an established framework for conducting scoping reviews. Inclusion criteria are developed according to the participants, concept, and context framework. This review will consider studies that fulfill all of the following criteria: include adult patients (participants); explore the association between atypical presentations and diagnostic errors using any definition, criteria, or measurement to identify atypical presentations and diagnostic errors (concept); and focus on internal medicine (context). Regarding the type of sources, this scoping review will consider quantitative, qualitative, and mixed methods study designs; systematic reviews; and opinion papers for inclusion. Case reports, case series, and conference abstracts will be excluded. The data will be extracted through MEDLINE, Web of Science, CINAHL, Embase, Cochrane Library, and Google Scholar searches. No limits will be applied to language, and papers indexed from database inception to December 31, 2023, will be included. Two independent reviewers (YH and RK) will conduct study selection and data extraction. The data extracted will include specific details about the patient characteristics (eg, age, sex, and disease), the definitions and measuring methods for atypical presentations and diagnostic errors, clinical settings (eg, department and outpatient or inpatient), type of evidence source, and the association between atypical presentations and diagnostic errors relevant to the review question. The extracted data will be presented in tabular format with descriptive statistics, allowing us to identify the key components or types of atypical presentations and develop new criteria to identify atypical presentations for future studies of diagnostic errors. Developing the new criteria will follow guidance for a basic qualitative content analysis with an inductive approach.

RESULTS

As of January 2024, a literature search through multiple databases is ongoing. We will complete this study by December 2024.

CONCLUSIONS

This scoping review aims to provide rigorous evidence to develop new criteria to identify atypical presentations at high risk for diagnostic errors in internal medicine. Such criteria could facilitate the development of a comprehensive conceptual model to understand the associations between atypical presentations and diagnostic errors in internal medicine.

TRIAL REGISTRATION

Open Science Framework; www.osf.io/27d5m.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56933.

The Big Three diagnostic errors through reflections of Japanese internists

OBJECTIVES

To analyze the Big Three diagnostic errors (malignant neoplasms, cardiovascular diseases, and infectious diseases) through internists' self-reflection on their most memorable diagnostic errors.

METHODS

This secondary analysis study, based on a web-based cross-sectional survey, recruited participants from January 21 to 31, 2019. The participants were asked to recall the most memorable diagnostic error cases in which they were primarily involved. We gathered data on internists' demographics, time to error recognition, and error location. Factors causing diagnostic errors included environmental conditions, information processing, and cognitive bias. Participants scored the significance of each contributing factor on a Likert scale (0, unimportant; 10, extremely important).

RESULTS

The Big Three comprised 54.1 % (n=372) of the 687 cases reviewed. The median physician age was 51.5 years (interquartile range, 42-58 years); 65.6 % of physicians worked in hospital settings. Delayed diagnoses were the most common among malignancies (n=64, 46 %). Diagnostic errors related to malignancy were frequent in general outpatient settings on weekdays and in the mornings and were not identified for several months following the event. Environmental factors often contributed to cardiovascular disease-related errors, which were typically identified within days in emergency departments, during night shifts, and on holidays. Information gathering and interpretation significantly impacted infectious disease diagnoses.

CONCLUSIONS

The Big Three accounted for the majority of cases recalled by Japanese internists. The most relevant contributing factors were different for each of the three categories. Addressing these errors may require a unique approach based on the disease associations.

Effects of a 60-Minute Lecture About Diagnostic Errors for Medical Students: A Single-Center Interventional Study

INTRODUCTION

The danger of diagnostic errors exists in daily medical practice, and doctors are required to avoid such errors as much as possible. Although various factors, including cognitive, system-related, and patient-related factors, are involved in the occurrence of diagnostic errors, the percentage of doctors with insufficient medical knowledge among those factors is extremely low. Therefore, lectures on diagnostic errors might also be useful for medical students without experience working as doctors. This study investigated whether a 60-minute lecture on diagnostic errors would enable Japanese medical students to consider the factors involved in diagnostic errors and how their perceptions of diagnostic errors change.

METHODS AND MATERIALS

This single-center interventional study was conducted in October 2022 among fourth-year medical students at the Faculty of Medicine, Saga University. A questionnaire survey was conducted before and immediately after the lecture to investigate changes in the perceptions of medical students regarding diagnostic errors. One mock case question was given on an exam the day after the lecture, and the number of responses to cognitive biases and system-related and patient-related factors involved in diagnostic errors were calculated.

RESULTS

A total of 83 students were analyzed. After the lecture, medical students were significantly more aware of the existence of the concept of diagnostic error, the importance of learning about it, their willingness to continue learning about it, and their perception that learning about diagnostic errors improves their clinical skills. They were also significantly less likely to feel blame or shame over diagnostic errors. The mean numbers of responses per student for cognitive bias, system-related factors, and patient-related factors were 1.9, 3.4, and 0.9, respectively. The mean number of responses per student for all factors was 5.6.

CONCLUSION

A 60-minute lecture on diagnostic errors among medical students is beneficial because it significantly changes their perception of diagnostic errors. The results of the present study also suggest that lectures may enable Japanese medical students to consider the factors involved in diagnostic errors.

What would primary care practitioners do differently after a delayed cancer diagnosis? Learning lessons from their experiences

OBJECTIVE

Diagnosis of cancer is challenging in primary care due to the low incidence of cancer cases in primary care practice. A prolonged diagnostic interval may be due to doctor, patient or system factors, or may be due to the characteristics of the cancer itself. The objective of this study was to learn from Primary Care Physicians' (PCP) experiences of incidents when they had failed to think of, or act on, a cancer diagnosis.

DESIGN

A qualitative, online survey eliciting PCP narratives. Thematic analysis was used to analyse the data.

SETTING AND SUBJECTS

A primary care study, with narratives from 159 PCPs in 23 European countries.

MAIN OUTCOME MEASURES

PCPs' narratives on the question 'If you saw this patient with cancer presenting in the same way today, what would you do differently?

RESULTS

The main themes identified were: thinking broadly; improvement in communication and clinical management; use of other available resources and 'I wouldn't do anything differently'.

CONCLUSION (IMPLICATIONS)

To achieve more timely cancer diagnosis, PCPs need to provide a long-term, holistic and active approach with effective communication, and to ensure shared decision-making, follow-up and continuing re-assessment of the patients' clinical conditions.

Fluorodeoxyglucose (FDG) Uptake in the Remnant Adrenal Gland Mimicking Tumor Recurrence in a Patient With Adrenocortical Carcinoma After Treatment With Mitotane

Adrenocortical carcinoma (ACC) is a rare malignancy with poor prognosis. Its diagnosis requires clinical suspicion and confirmation through laboratory and imaging studies, including computed tomography (CT), magnetic resonance imaging (MRI), and abdominal ultrasound, as well as histological confirmation. Positron emission tomography (PET) is useful for distinguishing between benign and malignant lesions and for evaluating tumor recurrences or metastases. A case is described in which the uptake of fluorodeoxyglucose (18F-FDG) in a remnant adrenal gland could be misinterpreted as tumoral pathology. The article presents the case of a patient with ACC who, after treatment, showed increased FDG uptake in the remnant adrenal gland, which disappeared after discontinuation of treatment with mitotane. Possible explanations for this increase in FDG uptake are discussed, including the action of mitotane. In summary, it is highlighted that FDG uptake in remnant adrenal glands in patients treated with mitotane does not always indicate tumor recurrence or adrenal hypertrophy.

"Air Sign" in Misdiagnosed Mandibular Fractures Based on CT and CBCT Evaluation

BACKGROUND

Diagnostic errors constitute one of the reasons for the improper and often delayed treatment of mandibular fractures. The aim of this study was to present a series of cases involving undiagnosed concomitant secondary fractures in the mandibular body during preoperative diagnostics. Additionally, this study aimed to describe the "air sign" as an indirect indicator of a mandibular body fracture.

METHODS

A retrospective analysis of CT/CBCT scans conducted before surgery was performed on patients misdiagnosed with a mandibular body fracture within a one-year period.

RESULTS

Among the 75 patients who underwent surgical treatment for mandibular fractures, mandibular body fractures were missed in 3 cases (4%) before surgery. The analysis of CT/CBCT before surgery revealed the presence of an air collection, termed the "air sign", in the soft tissue adjacent to each misdiagnosed fracture of the mandibular body.

CONCLUSIONS

The "air sign" in a CT/CBCT scan may serve as an additional indirect indication of a fracture in the mandibular body. Its presence should prompt the surgeon to conduct a more thorough clinical examination of the patient under general anesthesia after completing the ORIF procedure in order to rule-out additional fractures.

Assessing clinical reasoning skills following a virtual patient dizziness curriculum

OBJECTIVES

Dizziness is a common medical symptom that is frequently misdiagnosed. While virtual patient (VP) education has been shown to improve diagnostic accuracy for dizziness as assessed by VPs, trainee performance has not been assessed on human subjects. The study aimed to assess whether internal medicine (IM) interns after training on a VP-based dizziness curriculum using a deliberate practice framework would demonstrate improved clinical reasoning when assessed in an objective structured clinical examination (OSCE).

METHODS

All available interns volunteered and were randomized 2:1 to intervention (VP education) vs. control (standard clinical teaching) groups. This quasi-experimental study was conducted at one academic medical center from January to May 2021. Both groups completed pre-posttest VP case assessments (scored as correct diagnosis across six VP cases) and participated in an OSCE done 6 weeks later. The OSCEs were recorded and assessed using a rubric that was systematically developed and validated.

RESULTS

Out of 21 available interns, 20 participated. Between intervention (n=13) and control (n=7), mean pretest VP diagnostic accuracy scores did not differ; the posttest VP scores improved for the intervention group (3.5 [SD 1.3] vs. 1.6 [SD 0.8], p=0.007). On the OSCE, the means scores were higher in the intervention (n=11) compared to control group (n=4) for physical exam (8.4 [SD 4.6] vs. 3.9 [SD 4.0], p=0.003) and total rubric score (43.4 [SD 12.2] vs. 32.6 [SD 11.3], p=0.04).

CONCLUSIONS

The VP-based dizziness curriculum resulted in improved diagnostic accuracy among IM interns with enhanced physical exam skills retained at 6 weeks post-intervention.

Prevalence of atypical presentations among outpatients and associations with diagnostic error

OBJECTIVES

This study aimed to assess the prevalence of atypical presentations and their association with diagnostic errors in various diseases.

METHODS

This retrospective observational study was conducted using cohort data between January 1 and December 31, 2019. Consecutive outpatients consulted by physicians from the Department of Diagnostic and Generalist Medicine at a university hospital in Japan were included. Patients for whom the final diagnosis was not confirmed were excluded. Primary outcomes were the prevalence of atypical presentations, and the prevalence of diagnostic errors in groups with typical and atypical presentations. Diagnostic errors and atypical presentations were assessed using the Revised Safer Dx Instrument. We performed primary analyses using a criterion; the average score of less than five to item 12 of two independent reviewers was an atypical presentation (liberal criterion). We also performed additional analyses using another criterion; the average score of three or less to item 12 was an atypical presentation (conservative criterion).

RESULTS

A total of 930 patients were included out of a total of 2022 eligible. The prevalence of atypical presentation was 21.7 and 6.7 % when using liberal and conservative criteria for atypical presentation, respectively. Diagnostic errors (2.8 %) were most commonly observed in the cases with slight to moderate atypical presentation. Atypical presentation was associated with diagnostic errors with the liberal criterion for atypical presentation; however, this diminished with the conservative criterion.

CONCLUSIONS

An atypical presentation was observed in up to 20 % of outpatients with a confirmed diagnosis, and slight to moderate atypical presentation may be the highest risk population for diagnostic errors.

The PRIDx framework to engage payers in reducing diagnostic errors in healthcare

OBJECTIVES

No framework currently exists to guide how payers and providers can collaboratively develop and implement incentives to improve diagnostic safety. We conducted a literature review and interviews with subject matter experts to develop a multi-component 'Payer Relationships for Improving Diagnoses (PRIDx)' framework, that could be used to engage payers in diagnostic safety efforts.

CONTENT

The PRIDx framework, 1) conceptualizes diagnostic safety links to care provision, 2) illustrates ways to promote payer and provider engagement in the design and adoption of accountability mechanisms, and 3) explicates the use of data analytics. Certain approaches suggested by PRIDx were refined by subject matter expert interviewee perspectives.

SUMMARY

The PRIDx framework can catalyze public and private payers to take specific actions to improve diagnostic safety.

OUTLOOK

Implementation of the PRIDx framework requires new types of partnerships, including external support from public and private payer organizations, and requires creation of strong provider incentives without undermining providers' sense of professionalism and autonomy. PRIDx could help facilitate collaborative payer-provider approaches to improve diagnostic safety and generate research concepts, policy ideas, and potential innovations for engaging payers in diagnostic safety improvement activities.

Exploring Clinical Lessons Learned by Experienced Hospitalists from Diagnostic Errors and Successes

BACKGROUND

Diagnostic errors cause significant patient harm. The clinician's ultimate goal is to achieve diagnostic excellence in order to serve patients safely. This can be accomplished by learning from both errors and successes in patient care. However, the extent to which clinicians grow and navigate diagnostic errors and successes in patient care is poorly understood. Clinically experienced hospitalists, who have cared for numerous acutely ill patients, should have great insights from their successes and mistakes to inform others striving for excellence in patient care.

OBJECTIVE

To identify and characterize clinical lessons learned by experienced hospitalists from diagnostic errors and successes.

DESIGN

A semi-structured interview guide was used to collect qualitative data from hospitalists at five independently administered hospitals in the Mid-Atlantic area from February to June 2022.

PARTICIPANTS

12 academic and 12 community-based hospitalists with ≥ 5 years of clinical experience.

APPROACH

A constructivist qualitative approach was used and "reflexive thematic analysis" of interview transcripts was conducted to identify themes and patterns of meaning across the dataset.

RESULTS

Five themes were generated from the data based on clinical lessons learned by hospitalists from diagnostic errors and successes. The ideas included appreciating excellence in clinical reasoning as a core skill, connecting with patients and other members of the health care team to be able to tap into their insights, reflecting on the diagnostic process, committing to growth, and prioritizing self-care.

CONCLUSIONS

The study identifies key lessons learned from the errors and successes encountered in patient care by clinically experienced hospitalists. These findings may prove helpful for individuals and groups that are authentically committed to moving along the continuum from diagnostic competence towards excellence.

Burden of serious harms from diagnostic error in the USA

BACKGROUND

Diagnostic errors cause substantial preventable harms worldwide, but rigorous estimates for total burden are lacking. We previously estimated diagnostic error and serious harm rates for key dangerous diseases in major disease categories and validated plausible ranges using clinical experts.

OBJECTIVE

We sought to estimate the annual US burden of serious misdiagnosis-related harms (permanent morbidity, mortality) by combining prior results with rigorous estimates of disease incidence.

METHODS

Cross-sectional analysis of US-based nationally representative observational data. We estimated annual incident vascular events and infections from 21.5 million (M) sampled US hospital discharges (2012-2014). Annual new cancers were taken from US-based registries (2014). Years were selected for coding consistency with prior literature. Disease-specific incidences for 15 major vascular events, infections and cancers ('Big Three' categories) were multiplied by literature-based rates to derive diagnostic errors and serious harms. We calculated uncertainty estimates using Monte Carlo simulations. Validity checks included sensitivity analyses and comparison with prior published estimates.

RESULTS

Annual US incidence was 6.0 M vascular events, 6.2 M infections and 1.5 M cancers. Per 'Big Three' dangerous disease case, weighted mean error and serious harm rates were 11.1% and 4.4%, respectively. Extrapolating to all diseases (including non-'Big Three' dangerous disease categories), we estimated total serious harms annually in the USA to be 795 000 (plausible range 598 000-1 023 000). Sensitivity analyses using more conservative assumptions estimated 549 000 serious harms. Results were compatible with setting-specific serious harm estimates from inpatient, emergency department and ambulatory care. The 15 dangerous diseases accounted for 50.7% of total serious harms and the top 5 (stroke, sepsis, pneumonia, venous thromboembolism and lung cancer) accounted for 38.7%.

CONCLUSION

An estimated 795 000 Americans become permanently disabled or die annually across care settings because dangerous diseases are misdiagnosed. Just 15 diseases account for about half of all serious harms, so the problem may be more tractable than previously imagined.

An Update Summary on the Learning Sciences Within an Ophthalmic Context

Clinical reasoning, specifically diagnostic decision-making, has been a subject of fragmented literature since the 1970s, marked by diverse theories and conflicting perspectives. This article reviews the latest evidence in medical education, drawing from scientific literature, to offer ophthalmologists insights into optimal strategies for personal learning and the education of others. It explores the historical development of clinical reasoning theories, emphasising the challenges in understanding how doctors formulate diagnoses. The importance of clinical reasoning is underscored by its role in making accurate diagnoses and preventing diagnostic errors. The article delves into the dual process theory, distinguishing between type 1 and type 2 thinking and their implications for clinical decision-making. Cognitive load theory is introduced as a crucial aspect, highlighting the limited capacity of working memory and its impact on the diagnostic process. The zone of proximal development (ZPD) is explored as a framework for optimal learning environments, emphasising the importance of scaffolding and deliberate practice in skill development. The article discusses semantic competence, mental representation, and the interplay of different memory stores-semantic, episodic, and procedural-in enhancing diagnostic proficiency. Self-regulated learning (SRL) is introduced as a student-centric approach, emphasising goal setting, metacognition, and continuous improvement. Practical advice is provided for minimising cognitive errors in clinical reasoning, applying dual process theory, and considering cognitive load theory in teaching. The relevance of deliberate practice in ophthalmology, especially in a rapidly evolving field, is emphasised for continuous learning and staying updated with advancements. The article concludes by highlighting the importance of clinical supervisors in recognising and supporting trainees' self-regulated learning and understanding the principles of various teaching and learning theories. Ultimately, a profound comprehension of the science behind clinical reasoning is deemed fundamental for ophthalmologists to deliver high-quality, evidence-based care and foster critical thinking skills in the dynamic landscape of ophthalmology.

Exploring why European primary care physicians sometimes do not think of, or act on, a possible cancer diagnosis. A qualitative study

BACKGROUND

While primary care physicians (PCPs) play a key role in cancer detection, they can find cancer diagnosis challenging, and some patients have considerable delays between presentation and onward referral.

AIM

To explore European PCPs' experiences and views on cases where they considered that they had been slow to think of, or act on, a possible cancer diagnosis.

DESIGN & SETTING

A multicentre European qualitative study, based on an online survey with open-ended questions, asking PCPs for their narratives about cases when they had missed a diagnosis of cancer.

METHOD

Using maximum variation sampling, PCPs in 23 European countries were asked to describe what happened in a case where they were slow to think of a cancer diagnosis, and for their views on why it happened. Thematic analysis was used to analyse the data.

RESULTS

A total of 158 PCPs completed the questionnaire. The main themes were as follows: patients' descriptions did not suggest cancer; distracting factors reduced PCPs' cancer suspicions; patients' hesitancy delayed the diagnosis; system factors not facilitating timely diagnosis; PCPs felt that they had acted wrongly; and problems with communicating adequately.

CONCLUSION

The study identified six overarching themes that need to be addressed. Doing so should reduce morbidity and mortality in the small proportion of patients who have a significant, avoidable delay in their cancer diagnosis. The 'Swiss cheese' model of accident causation showed how the themes related to each other.

Rectal Adenocarcinoma Presenting as a Cervical Mass: A Case Report

BACKGROUND Invasive cervical tumors are often seen in clinical practice. However, there are multiple structures within the pelvis, and invasion of the cervix from another site must be included in the differential diagnosis. In such cases, a multidisciplinary approach is needed to define the organ of tumor origin. Ensuring proper staging and histologic analysis are critical for optimal management. CASE REPORT We present a case of a 68-year-old woman who presented to her gynecologist with painless post-menopausal vaginal bleeding. She was diagnosed with a locally aggressive cervical adenocarcinoma, which was histologically confirmed by an in-office biopsy. She was referred to the gynecologic oncology service at a tertiary care hospital for definitive management, where a thorough clinical workup was performed. Physical exam revealed that the mass had invaded the anterior rectal wall. Through a multidisciplinary approach and a repeat biopsy, she was correctly diagnosed with an invasive rectal adenocarcinoma. She was treated with neoadjuvant chemoradiotherapy and underwent curative surgery. Had she been incorrectly treated as having a primary cervical adenocarcinoma, there would have been no role for surgery. The change in the organ of primary drastically altered the patient's management and outcome. She is currently undergoing surveillance with cross-sectional imaging. CONCLUSIONS Cervical masses originating from non-gynecologic organs can be difficult to differentiate on physical exam and histologic analysis. When a mass involves the rectum, an invasive primary rectal adenocarcinoma must be included in the differential. This will have a significant impact on patient management and ultimately on patient survival.

Speaking of the "Devil": Diagnostic Errors in Interstitial Lung Diseases

Interstitial lung diseases are respiratory diseases, which affect the normal lung parenchyma and can lead to significant pulmonary fibrosis, chronic respiratory failure, pulmonary hypertension, and ultimately death. Reuniting more than 200 entities, interstitial lung diseases pose a significant challenge to the clinician, as they represent rare diseases with vague and insidious respiratory symptoms. As such, there are many diagnostic errors that can appear along the journey of the patient with ILD, which leads to significant delays with implications for the prognosis and the quality of life of the patient.

Diagnostic error experiences of patients and families with limited English-language health literacy or disadvantaged socioeconomic position in a cross-sectional US population-based survey

BACKGROUND

Language barrier, reduced self-advocacy, lower health literacy or biased care may hinder the diagnostic process. Data on how patients/families with limited English-language health literacy (LEHL) or disadvantaged socioeconomic position (dSEP) experience diagnostic errors are sparse.

METHOD

We compared patient-reported diagnostic errors, contributing factors and impacts between respondents with LEHL or dSEP and their counterparts in the 2017 Institute for Healthcare Improvement US population-based survey, using contingency analysis and multivariable logistic regression models for the analyses.

RESULTS

596 respondents reported a diagnostic error; among these, 381 reported LEHL or dSEP. After adjusting for sex, race/ethnicity and physical health, individuals with LEHL/dSEP were more likely than their counterparts to report unique contributing factors: "(No) qualified translator or healthcare provider that spoke (the patient's) language" (OR and 95% CI 4.4 (1.3 to 14.9)); "not understanding the follow-up plan" (1.9 (1.1 to 3.1)); "too many providers… but no clear leader" (1.8 (1.2 to 2.7)); "not able to keep follow-up appointments" (1.9 (1.1 to 3.2)); "not being able to pay for necessary medical care" (2.5 (1.4 to 4.4)) and "out-of-date or incorrect medical records" (2.6 (1.4 to 4.8)). Participants with LEHL/dSEP were more likely to report long-term emotional, financial and relational impacts, compared with their counterparts. Subgroup analysis (LEHL-only and dSEP-only participants) showed similar results.

CONCLUSIONS

Individuals with LEHL or dSEP identified unique and actionable contributing factors to diagnostic errors. Interpreter access should be viewed as a diagnostic safety imperative, social determinants affecting care access/affordability should be routinely addressed as part of the diagnostic process and patients/families should be encouraged to access and update their medical records. The frequent and disproportionate long-term impacts from self-reported diagnostic error among LEHL/dSEP patients/families raises urgency for greater prevention and supportive efforts.

Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors

OBJECTIVES

To assess the usefulness of case reports as sources for research on diagnostic errors in uncommon diseases and atypical presentations.

CONTENT

We reviewed 563 case reports of diagnostic error. The commonality of the final diagnoses was classified based on the description in the articles, Orphanet, or epidemiological data on available references; the typicality of presentation was classified based on the description in the articles and the judgment of the physician researchers. Diagnosis Error Evaluation and Research (DEER), Reliable Diagnosis Challenges (RDC), and Generic Diagnostic Pitfalls (GDP) taxonomies were used to assess the factors contributing to diagnostic errors.

SUMMARY AND OUTLOOK

Excluding three cases in that commonality could not be classified, 560 cases were classified into four categories: typical presentations of common diseases (60, 10.7 %), atypical presentations of common diseases (35, 6.2 %), typical presentations of uncommon diseases (276, 49.3 %), and atypical presentations of uncommon diseases (189, 33.8 %). The most important DEER taxonomy was "Failure/delay in considering the diagnosis" among the four categories, whereas the most important RDC and GDP taxonomies varied with the categories. Case reports can be a useful data source for research on the diagnostic errors of uncommon diseases with or without atypical presentations.

Quality improvement approaches to heparin-induced thrombocytopenia: a scoping review

Background

Heparin-induced thrombocytopenia (HIT) is a relatively uncommon condition characterized by 2 exceedingly common phenomena in hospitalized patients: thrombocytopenia and heparin exposure. Consequently, HIT is frequently overdiagnosed and inappropriately treated. These issues are the focus of many quality improvement (QI) initiatives.

Objectives

In this scoping review, we identified and characterized all published QI studies on improving the diagnosis and management of HIT.

Methods

We conducted a systematic literature search through April 2022 for studies reporting on QI interventions regarding the diagnosis, treatment, and/or prevention of HIT.

Results

Thirty studies were included in the final review. Studies were separated into 5 groups based on the focus of the interventions: increasing HIT recognition, reducing HIT incidence, reducing HIT overdiagnosis, promoting safer HIT management, and creating HIT task forces. Nine studies focused on the implementation of 4Ts score calculator into electronic medical record orders for HIT testing, while only 1 evaluated the impact of reducing unfractionated heparin use in favor of low-molecular-weight heparin. Six studies focused on the implementation of direct thrombin inhibitor management protocols, while none evaluated the use of alternative anticoagulants in HIT management.

Conclusion

The bulk of published HIT QI research focused on reducing overdiagnosis and promoting safer direct thrombin inhibitor therapy, while minimal attention has been devoted to HIT prevention and the use of evidence-based alternative HIT therapies.

Clinical and radiologic characteristics associated with multiple sclerosis misdiagnosis at a tertiary referral center in the United States

BACKGROUND

Misdiagnosis of multiple sclerosis (MS) is common and can have harmful effects on patients and healthcare systems. Identification of factors associated with misdiagnosis may aid development of prevention strategies.

OBJECTIVE

To identify clinical and radiological predictors of MS misdiagnosis.

METHODS

We retrospectively reviewed medical records of all patients who were referred to Johns Hopkins MS Center from January 2018 to June 2019. Patients who carried a diagnosis of MS were classified as correctly diagnosed or misdiagnosed with MS by the Johns Hopkins clinician. Demographics, clinical, laboratory, and radiologic data were collected. Differences between the two groups were evaluated, and a regression model was constructed to identify predictors of misdiagnosis.

RESULTS

Out of 338 patients who were previously diagnosed with MS, 41 (12%) had been misdiagnosed. An alternative diagnosis was confirmed in 28 (68%) of the misdiagnosed patients; cerebrovascular disease was the most common alternate diagnosis. Characteristics associated with misdiagnosis were female sex (odds ratio (OR): 5.81 (95% confidence interval (CI): 1.60, 21.05)) and non-specific brain magnetic resonance imaging (MRI) lesions (OR: 7.66 (3.42, 17.16)).

CONCLUSION

Misdiagnosis is a frequent problem in MS care. Non-specific brain lesions were the most significant predictor of misdiagnosis. Interventions aimed to reduce over-reliance on imaging findings and misapplication of the McDonald criteria may prevent MS misdiagnosis.

How often are heart diseases correctly diagnosed antemortem in children with fatal illnesses? A retrospective review of medical and autopsy records

This retrospective study analyzed the concordance level between clinical and autopsy diagnosis of heart diseases over six years. Utilizing the Goldmann classification, the concordance rate was found to be 38.1%. Major discrepancies (Class I and II) were found in 39% cases and minor (Class III and IV) in 22.9% cases.

Corrigendum to "Schizophrenia: a narrative review of etiological and diagnostic issues" (Consortium Psychiatricum, 2022, Volume 3, Issue 3, doi: 10.17816/CP132)

[This corrects the article DOI: 10.17816/CP132.].

Case report: Misdiagnosis of primary mucinous cystadenoma of the testicle by ultrasound

Testicular mucinous cystadenoma is a rare benign testicular tumor with the characteristics of being potentially malignant and showing atypical clinical symptoms; this article reports a case of a primary testicular mucinous cystadenoma misdiagnosed as testicular teratoma by ultrasound. A 69-year-old man was admitted to the hospital because of a 1-year history of left-sided testicular enlargement with scrotal swelling and no obvious abnormalities on laboratory tests. Ultrasound examination revealed solid-mass lesions in the left testicle, suggesting a high probability of teratoma, and contrast-enhanced magnetic resonance imaging (MRI) examination suggested an increased possibility of epidermoid cysts. Contrast-enhanced computed tomography (CT) and contrast-enhanced MRI of the preoperative abdomen and pelvis showed no other primary adenocarcinoma. Doctors performed radical resection of the left testicle. The postoperative pathological diagnosis was mucinous cystadenoma, and calcification as well as partially mildly atypical epithelial cells were discovered. Furthermore, there were no neoplastic lesions in the epididymis or spermatic cord. No metastatic lesions were found after 6 months postoperative follow-up, and the patient's prognosis remains good.

Acrocyanosis and Progressive Skin Necrosis as Manifestation of Waldenstrom Macroglobulinemia Associated With Type I Cryoglobulinemia: A Case Report

Waldenstrom macroglobulinemia (WM), a rare malignant disorder, occurs as a result of abnormal proliferation of lymphocytes that produce immunoglobulin M. In rare cases, WM complicates by type I cryoglobulinemia. Type I cryoglobulinemia usually presents with cutaneous manifestations such as Raynaud's phenomenon, purpura, necrosis, and gangrene. Various medical conditions, including thrombotic events, rheumatologic disorders, and malignancies, may present with skin discoloration and necrosis. Patients suffering from malignant diseases who initially present with skin manifestations usually are misdiagnosed by physicians. Here, we describe a 72-year-old man presenting with a 6-month acrocyanosis and progressive skin necrosis who was misdiagnosed by physicians. Finally, he was diagnosed to have WM associated with type I cryoglobulinemia. Though uncommon, hematologic malignancies can present with cutaneous manifestations. In some cases, patients may manifest with skin disorders alone. Early and prompt treatment of these diseases may save the patient life, relieve patient symptoms, and increase life quality.

The Implementation of Diagnostic Assessment in Breast Lump Cases: A Cross-Sectional Study in Sragen, Indonesia

Introduction Triple assessment, consisting of clinical breast examination, breast imaging, and fine-needle aspiration biopsy (FNAB), is the gold standard for breast lump diagnosis to avoid diagnostic errors. However, current diagnostic practices for breast lump cases in Indonesia are widely variable and evidence for triple assessment implementation is lacking. We aimed to explore the implementation of diagnostic assessments in breast lump cases, its influencing factors, and its association with diagnostic error. Methods This cross-sectional study consecutively recruited 364 females with breast lumps who underwent surgery in Soehadi Prijonegoro Public Hospital, Sragen, Indonesia. Data were retrospectively collected from patient's medical records. Diagnostic assessments were classified as single assessment with clinical breast examination, double assessment with clinical breast examination and breast ultrasonography (USG) or fine-needle aspiration biopsy (FNAB), and triple assessment. Diagnostic error was defined as a discrepancy between pre- and post-surgery diagnosis or repeated surgery without neoadjuvant chemotherapy. Factors associated with diagnostic assessment implementation, diagnostic error, and repeated surgery were analyzed using the chi-square test. Results The choice of diagnostic assessment was influenced by patients' age and health insurance (p<0.001). Triple assessment was only implemented in 21 (5.8%) breast lump cases. It was more frequently applied in patients ≥40 years (57.1%) and patients with contributory health insurance (76.2%). Diagnostic errors were observed in 84 cases (23.1%) and 47 patients out of them (47%) experienced repeated surgery. The implementation of diagnostic assessments was not associated with diagnostic error (p=0.257) but was significantly associated with repeated surgery in breast cancer (p<0.001). Repeated surgery rates were significantly lowered in cases receiving double assessment with FNAB (p<0.001). Conclusions The implementation of triple assessment in the local setting was very low. The choice of diagnostic assessment was influenced by patients' age and health insurance. Further, double assessment applying clinical breast examination and FNAB significantly decreased repeated surgery rates and thus may serve as an alternative to triple assessment in the limited resource setting.

Qualitative Comparison of Cryostat- versus Snap-Frozen Neurosurgical Intraoperative Consultations

Background. Frozen sections (FS) are common in neurosurgery to address varied clinical concerns. Artifacts in central nervous system (CNS) FS can be severe and affect or hinder interpretation. We performed a case-control study using a semiquantitative scale: the Histologic Preservation Score (HPS), and a quantitative scale: the Ice Crystal Vacuolization Score (ICVS), to compare the histologic quality yielded by snap- versus cryostat freezing techniques. Material and Methods. All specimens were sectioned in 2 halves, one half was used for FS and the other for permanent evaluation. HPS assigns a distortion score to the FS sample using the non-frozen half as the comparator: 1  =  minimal, 2  =  slight, 3  =  moderate, 4 & 5  =  severe. The ICVS is the average size in µm of the 5 largest vacuoles/0.05 mm2, evaluated on digitized slides. Results. 86 CNS-FS were collected: 22 snap- and 64 cryostat-FS. Significant differences in HPS: 2.28 versus 2.84 (p <0.05) and ICVS 7.47 versus 14.56 (p < 0.001) were obtained for snap- versus cryostat-FS, respectively. HPS and ICVS showed a strong correlation: R2 = 0.63, p < 0.0001. Histologic distortion was worse for neuroglial than mesenchymal tissue by both methods; however, a significant difference was only observed in cryostat-FS: HPS: 3.23 versus 2.33, p < 0.001; ICVS: 16.86 μm versus 10.26 μm, p < 0.001. Conclusion. Snap-FS yields better histologic quality than cryostat-FS for CNS-FS, and the difference is more pronounced in neuroglial samples. HPS and ICVS correlate strongly, indicating that the histologic quality is inversely proportional to water-crystallization. These results may apply to other areas of surgical pathology.

Diagnostic delay in amyotrophic lateral sclerosis

BACKGROUND

Amyotrophic lateral sclerosis (ALS) is a progressive, fatal neurodegenerative disease, and the time from symptom onset to diagnosis remains long. With the advent of disease-modifying treatments, the need to identify and diagnose ALS in a timely fashion has never been greater.

METHODS

We reviewed the literature to define the severity of ALS diagnostic delay, the various factors that contribute to this delay (including patient and physician factors), and the role that site of symptom onset plays in a patient's diagnostic journey.

RESULTS

Diagnostic delay is influenced by general practitioners' lack of recognition of ALS due to disease rarity and heterogenous presentations. As a result, patients are referred to non-neurologists, have unnecessary diagnostic testing, and may ultimately be misdiagnosed. Patient factors include their illness behavior-which impacts diagnostic delay-and their site of symptom onset. Limb-onset patients have the greatest diagnostic delay because they are frequently misdiagnosed with degenerative spine disease or peripheral neuropathy.

CONCLUSION

Prompt ALS diagnosis results in more effective clinical management, with earlier access to disease-modifying therapies, multidisciplinary care, and, if desired, clinical trial involvement. Due to lack of commercially available ALS biomarkers, alternative strategies to identify and triage patients who likely have ALS must be employed. Several diagnostic tools have been developed to encourage general practitioners to consider ALS and make an urgent referral to ALS specialists, bypassing unnecessary referrals to non-neurologists and unnecessary diagnostic workup.

Patient and family contributions to improve the diagnostic process through the OurDX electronic health record tool: a mixed method analysis

BACKGROUND

Accurate and timely diagnosis relies on sharing perspectives among team members and avoiding information asymmetries. Patients/Families hold unique diagnostic process (DxP) information, including knowledge of diagnostic safety blindspots-information that patients/families know, but may be invisible to clinicians. To improve information sharing, we co-developed with patients/families an online tool called 'Our Diagnosis (OurDX)'. We aimed to characterise patient/family contributions in OurDX and how they differed between individuals with and without diagnostic concerns.

METHOD

We implemented OurDX in two academic organisations serving patients/families living with chronic conditions in three subspecialty clinics and one primary care clinic. Prior to each visit, patients/families were invited to contribute visit priorities, recent histories and potential diagnostic concerns. Responses were available in the electronic health record and could be incorporated by clinicians into visit notes. We randomly sampled OurDX reports with and without diagnostic concerns for chart review and used inductive and deductive qualitative analysis to assess patient/family contributions.

RESULTS

7075 (39%) OurDX reports were submitted at 18 129 paediatric subspecialty clinic visits and 460 (65%) reports were submitted among 706 eligible adult primary care visits. Qualitative analysis of OurDX reports in the chart review sample (n=450) revealed that participants contributed DxP information across 10 categories, most commonly: clinical symptoms/medical history (82%), tests/referrals (54%) and diagnosis/next steps (51%). Participants with diagnostic concerns were more likely to contribute information on DxP risks including access barriers, recent visits for the same problem, problems with tests/referrals or care coordination and communication breakdowns, some of which may represent diagnostic blindspots.

CONCLUSION

Partnering with patients and families living with chronic conditions through OurDX may help clinicians gain a broader perspective of the DxP, including unique information to coproduce diagnostic safety.

Developing electronic clinical quality measures to assess the cancer diagnostic process

OBJECTIVE

Measures of diagnostic performance in cancer are underdeveloped. Electronic clinical quality measures (eCQMs) to assess quality of cancer diagnosis could help quantify and improve diagnostic performance.

MATERIALS AND METHODS

We developed 2 eCQMs to assess diagnostic evaluation of red-flag clinical findings for colorectal (CRC; based on abnormal stool-based cancer screening tests or labs suggestive of iron deficiency anemia) and lung (abnormal chest imaging) cancer. The 2 eCQMs quantified rates of red-flag follow-up in CRC and lung cancer using electronic health record data repositories at 2 large healthcare systems. Each measure used clinical data to identify abnormal results, evidence of appropriate follow-up, and exclusions that signified follow-up was unnecessary. Clinicians reviewed 100 positive and 20 negative randomly selected records for each eCQM at each site to validate accuracy and categorized missed opportunities related to system, provider, or patient factors.

RESULTS

We implemented the CRC eCQM at both sites, while the lung cancer eCQM was only implemented at the VA due to lack of structured data indicating level of cancer suspicion on most chest imaging results at Geisinger. For the CRC eCQM, the rate of appropriate follow-up was 36.0% (26 746/74 314 patients) in the VA after removing clinical exclusions and 41.1% at Geisinger (1009/2461 patients; P < .001). Similarly, the rate of appropriate evaluation for lung cancer in the VA was 61.5% (25 166/40 924 patients). Reviewers most frequently attributed missed opportunities at both sites to provider factors (84 of 157).

CONCLUSIONS

We implemented 2 eCQMs to evaluate the diagnostic process in cancer at 2 large health systems. Health care organizations can use these eCQMs to monitor diagnostic performance related to cancer.

Common contributing factors of diagnostic error: A retrospective analysis of 109 serious adverse event reports from Dutch hospitals

INTRODUCTION

Although diagnostic errors have gained renewed focus within the patient safety domain, measuring them remains a challenge. They are often measured using methods that lack information on decision-making processes given by involved physicians (eg, record reviews). The current study analyses serious adverse event (SAE) reports from Dutch hospitals to identify common contributing factors of diagnostic errors in hospital medicine. These reports are the results of thorough investigations by highly trained, independent hospital committees into the causes of SAEs. The reports include information from involved healthcare professionals and patients or family obtained through interviews.

METHODS

All 71 Dutch hospitals were invited to participate in this study. Participating hospitals were asked to send four diagnostic SAE reports of their hospital. Researchers applied the Safer Dx Instrument, a Generic Analysis Framework, the Diagnostic Error Evaluation and Research (DEER) taxonomy and the Eindhoven Classification Model (ECM) to analyse reports.

RESULTS

Thirty-one hospitals submitted 109 eligible reports. Diagnostic errors most often occurred in the diagnostic testing, assessment and follow-up phases according to the DEER taxonomy. The ECM showed human errors as the most common contributing factor, especially relating to communication of results, task planning and execution, and knowledge. Combining the most common DEER subcategories and the most common ECM classes showed that clinical reasoning errors resulted from failures in knowledge, and task planning and execution. Follow-up errors and errors with communication of test results resulted from failures in coordination and monitoring, often accompanied by usability issues in electronic health record design and missing protocols.

DISCUSSION

Diagnostic errors occurred in every hospital type, in different specialties and with different care teams. While clinical reasoning errors remain a common problem, often caused by knowledge and skill gaps, other frequent errors in communication of test results and follow-up require different improvement measures (eg, improving technological systems).

Estimating the Irreducible Uncertainty in Visual Diagnosis: Statistical Modeling of Skill Using Response Models

BACKGROUND

For the representative problem of prostate cancer grading, we sought to simultaneously model both the continuous nature of the case spectrum and the decision thresholds of individual pathologists, allowing quantitative comparison of how they handle cases at the borderline between diagnostic categories.

METHODS

Experts and pathology residents each rated a standardized set of prostate cancer histopathological images on the International Society of Urological Pathologists (ISUP) scale used in clinical practice. They diagnosed 50 histologic cases with a range of malignancy, including intermediate cases in which clear distinction was difficult. We report a statistical model showing the degree to which each individual participant can separate the cases along the latent decision spectrum.

RESULTS

The slides were rated by 36 physicians in total: 23 ISUP pathologists and 13 residents. As anticipated, the cases showed a full continuous range of diagnostic severity. Cases ranged along a logit scale consistent with the consensus rating (Consensus ISUP 1: mean -0.93 [95% confidence interval {CI} -1.10 to -0.78], ISUP 2: -0.19 logits [-0.27 to -0.12]; ISUP 3: 0.56 logits [0.06-1.06]; ISUP 4 1.24 logits [1.10-1.38]; ISUP 5: 1.92 [1.80-2.04]). The best raters were able to meaningfully discriminate between all 5 ISUP categories, showing intercategory thresholds that were quantifiably precise and meaningful.

CONCLUSIONS

We present a method that allows simultaneous quantification of both the confusability of a particular case and the skill with which raters can distinguish the cases.

IMPLICATIONS

The technique generalizes beyond the current example to other clinical situations in which a diagnostician must impose an ordinal rating on a biological spectrum.

HIGHLIGHTS

Question: How can we quantify skill in visual diagnosis for cases that sit at the border between 2 ordinal categories-cases that are inherently difficult to diagnose?Findings: In this analysis of pathologists and residents rating prostate biopsy specimens, decision-aligned response models are calculated that show how pathologists would be likely to classify any given case on the diagnostic spectrum. Decision thresholds are shown to vary in their location and precision.Significance: Improving on traditional measures such as kappa and receiver-operating characteristic curves, this specialization of item response models allows better individual feedback to both trainees and pathologists, including better quantification of acceptable decision variation.

Optimizing measurement of misdiagnosis-related harms using symptom-disease pair analysis of diagnostic error (SPADE): comparison groups to maximize SPADE validity

Diagnostic errors in medicine represent a significant public health problem but continue to be challenging to measure accurately, reliably, and efficiently. The recently developed Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) approach measures misdiagnosis related harms using electronic health records or administrative claims data. The approach is clinically valid, methodologically sound, statistically robust, and operationally viable without the requirement for manual chart review. This paper clarifies aspects of the SPADE analysis to assure that researchers apply this method to yield valid results with a particular emphasis on defining appropriate comparator groups and analytical strategies for balancing differences between these groups. We discuss four distinct types of comparators (intra-group and inter-group for both look-back and look-forward analyses), detailing the rationale for choosing one over the other and inferences that can be drawn from these comparative analyses. Our aim is that these additional analytical practices will improve the validity of SPADE and related approaches to quantify diagnostic error in medicine.

Drug provocation tests in children: All that glitters is not gold

A proper allergy work-up, based on the gold standard drug provocation test (DPT), usually rules out suspected drug hypersensitivity in children. These tests are generally open, given their high efficiency compared with double-blind placebo-controlled DPTs. Although their negative predictive value is excellent, no studies have calculated their positive predictive value, highly dependent on the prevalence of the disease. Most studies have found a rate of <5%-10% of true beta-lactam hypersensitivity in children. Given this low prevalence (pre-test probability), a few false-positive results can significantly reduce the estimated positive predictive value. False positives may arise from the nocebo effect during the test, including nocebo by proxy, or from observer bias, which depends on professional expertise and organizational circumstances. Some studies have found a high rate of tolerance on a second DPT in children who failed the first, but these results may be affected by the interval between the two tests, of a year or more in most cases, reflecting a loss of hypersensitivity over time. Taking into account the low rate of positive DPTs, with commonly mild reactions, we suggest confirming nonsevere positive DPTs with a second provocation performed soon after the first, especially in the case of beta-lactam antibiotics, in order to improve the diagnostic accuracy, de-label more patients, and achieve a better estimation of true drug hypersensitivity prevalence. In case of mild immediate reactions, the potential benefits of a second DPT should be carefully weighed against the risk of anaphylaxis.

Comparison of tomographic reports by radiologists and non-radiologists in trauma and interferences in management in a trauma reference center

OBJECTIVE

diagnostic errors during the interpretation of an imaging test by the physician can lead to increased mortality and length of hospital stay for patients. The rate of divergence in the report given by a radiologist and an Emergency Physicians (EP) can reach over 20%. The objective of this study was to compare the unofficial tomographic reports issued by EP with the official reports issued by radiologists.

METHODS

a cross-sectional study, in which interpretations of the exams (documented in the medical records by the EP) of all patients undergoing computed tomography (CT) of the chest, abdomen or pelvis performed in the emergency room, at an interval of 8 months, were evaluated. These data were compared with the official reports of the radiologist (gold standard).

RESULTS

508 patients were included. The divergence between EP and the radiologist occurred in 27% of the cases. The most common type of divergence was the one not described by the EP, but described by the radiologist. The chance of having divergence in a case of multiple trauma is 4.93 times greater in relation to the case of only blunt trauma in one segment. A statistically relevant difference was also found in the length of stay of patients who had different interpretations of the CT scans.

CONCLUSION

the study found a relatively high divergence rate between the EP report and the official radiologist report. However, less than 4% of these were considered to be clinically relevant, indicating the ability of the EP to interpret it satisfactorily.

A Case of Severe, Difficult-to-Diagnose Legionnaires' Disease in a Young Welder

Legionellosis among welders and other metalworkers is a rare but potentially underappreciated occupational hazard. The same mechanisms that predispose welders to severe pneumonia from Streptococcus pneumoniae and Bacillus cereus may similarly predispose them to Legionella pneumophila infection. We present a case of a previously healthy, immunocompetent 31-year-old male welder presenting with three days of shortness of breath, hypoxia, high-grade fever, and blood-tinged sputum. Chest computed tomography (CT) revealed a lobar consolidation of the right middle and lower lobes. Laboratory evaluation showed borderline hyponatremia, hypophosphatemia, and elevated liver enzymes. The patient was ultimately intubated and started on broad-spectrum antibiotics. Multiple respiratory cultures were negative and Legionella urine antigen testing was also negative. Eventually, bronchial Legionella culture was positive for Legionella pneumophila, and a blood next-generation sequencing test also confirmed the diagnosis. He was extubated six days following admission and subsequently discharged.

Preventing lost-to-follow up diagnostic imaging in ambulatory care: evaluation of an electronic notification tool

OBJECTIVE

Missed or cancelled imaging tests may be invisible to the ordering clinician and result in diagnostic delay. We developed an outpatient results notification tool (ORNT) to alert physicians of patients' missed radiology studies.

DESIGN

Randomised controlled evaluation of a quality improvement intervention.

SETTING

23 primary care and subspecialty ambulatory clinics at an urban academic medical centre.

PARTICIPANTS

276 physicians randomised to intervention or usual care.

MAIN OUTCOME MEASURE

90-day test completion of missed imaging tests.

RESULTS

We included 3675 radiology tests in our analysis: 1769 ordered in the intervention group and 1906 in the usual care group. A higher per cent of studies were completed for intervention compared with usual care groups in CT (20.7% vs 15.3%, p=0.06), general radiology (19.6% vs 12.0%, p=0.02) and, in aggregate, across all modalities (18.1% vs 16.1%, p=0.03). In the multivariable regression model adjusting for sex, age and insurance type and accounting for clustering with random effects at the level of the physician, the intervention group had a 36% greater odds of test completion than the usual care group (OR: 1.36 (1.097-1.682), p=0.005). In the Cox regression model, patients in the intervention group were 1.32 times more likely to complete their test in a timely fashion (HR: 1.32 (1.10-1.58), p=0.003).

CONCLUSIONS

An electronic alert that notified the responsible clinician of a missed imaging test ordered in an ambulatory clinic reduced the number of incomplete tests at 90 days. Further study of the obstacles to completing recommended diagnostic testing may allow for the development of better tools to support busy clinicians and their patients and reduce the risk of diagnostic delays.

Developing, pilot testing, and refining requirements for 3 EHR-integrated interventions to improve diagnostic safety in acute care: a user-centered approach

Objective

To describe a user-centered approach to develop, pilot test, and refine requirements for 3 electronic health record (EHR)-integrated interventions that target key diagnostic process failures in hospitalized patients.

Materials and Methods

Three interventions were prioritized for development: a Diagnostic Safety Column (DSC) within an EHR-integrated dashboard to identify at-risk patients; a Diagnostic Time-Out (DTO) for clinicians to reassess the working diagnosis; and a Patient Diagnosis Questionnaire (PDQ) to gather patient concerns about the diagnostic process. Initial requirements were refined from analysis of test cases with elevated risk predicted by DSC logic compared to risk perceived by a clinician working group; DTO testing sessions with clinicians; PDQ responses from patients; and focus groups with clinicians and patient advisors using storyboarding to model the integrated interventions. Mixed methods analysis of participant responses was used to identify final requirements and potential implementation barriers.

Results

Final requirements from analysis of 10 test cases predicted by the DSC, 18 clinician DTO participants, and 39 PDQ responses included the following: DSC configurable parameters (variables, weights) to adjust baseline risk estimates in real-time based on new clinical data collected during hospitalization; more concise DTO wording and flexibility for clinicians to conduct the DTO with or without the patient present; and integration of PDQ responses into the DSC to ensure closed-looped communication with clinicians. Analysis of focus groups confirmed that tight integration of the interventions with the EHR would be necessary to prompt clinicians to reconsider the working diagnosis in cases with elevated diagnostic error (DE) risk or uncertainty. Potential implementation barriers included alert fatigue and distrust of the risk algorithm (DSC); time constraints, redundancies, and concerns about disclosing uncertainty to patients (DTO); and patient disagreement with the care team's diagnosis (PDQ).

Discussion

A user-centered approach led to evolution of requirements for 3 interventions targeting key diagnostic process failures in hospitalized patients at risk for DE.

Conclusions

We identify challenges and offer lessons from our user-centered design process.

[Pseudoascitis by giant ovaric cyst]

The term pseudoascitis is used in patients who give the false impression of ascites, with abdominal distension but without peritoneal free fluid. The case of a 66-year-old woman, hypertensive and hypothyroid with occasional alcohol consumption, who consults due to progressive abdominal distension of 6 months of evolution and diffuse percussion dullness is presented, in whom a paracentesis is performed with the wrong endorsement of examination ultrasound that reports abundant intrabdominal free fluid (Fig. 1), later finding in the CT scan of the abdomen and pelvis an expansive process of cystic appearance of 295mm x 208mm x 250mm. Left anexectomy is programmed (Fig. 2) with pathological report of mucinous ovarian cystadenoma. The case report refers to the availability of the giant ovarian cyst within the differential diagnosis of ascites. If no symptoms or obvious signs of liver, kidney, heart or malignant disease are found and / or ultrasound does not reveal typical signs of intra-abdominal free fluid (fluid in the bottom of the Morrison or Douglas sac, presence of floating free intestinal handles), a CT scan and / or an RMI should be requested before performing paracentesis, which could have potentially serious consequences.

Incidence, Relevant Patient Factors, and Clinical Outcomes of the Misdiagnosis of ST-Segment-Elevation Myocardial Infarction: Results From the Korea Acute Myocardial Infarction Registry

Background Data on the incidence, relevant patient factors, and clinical outcomes of the misdiagnosis of ST-segment-elevation myocardial infarction (STEMI) in the modern era of percutaneous coronary intervention are limited. Methods and Results Data from KAMIR (Korea Acute Myocardial Infarction Registry) between November 2011 and June 2020 were analyzed. Out of 28 470 patients with acute myocardial infarction, 11 796 were eventually diagnosed with STEMI following a coronary angiogram. They were classified into 2 groups: patients with an initial working diagnosis of STEMI before starting the initial treatment and patients with an initial working diagnosis of non-STEMI (misdiagnosed group). Out of 11 796 patients with a final diagnosis of STEMI, 165 (1.4%) were misdiagnosed. The door-to-angiography time in the misdiagnosed group was 5 times longer than that in the timely diagnosed group (median 220 [interquartile range {IQR}, 66-1177] versus 43 [IQR, 31-58] minutes; P<0.001). In a multivariable adjustments model, patients with a history of heart failure, atypical chest pain, anemia, or symptom-to-door time ≥4 hours had significantly higher odds, whereas those with systolic blood pressure <100 mm Hg or anterior ST elevation or left bundle-branch block on ECG had lower odds of STEMI misdiagnosis. For patients with culprit lesions in the left anterior descending artery (n=5838), the adjusted 1-year mortality risk for STEMI misdiagnosis was 1.84 (95% CI, 1.01-3.38). Conclusions Misdiagnosis of STEMI is not rare and is associated with a significant delay in coronary angiography, resulting in increased 1-year mortality for patients with culprit lesions in the left anterior descending artery.

Importance of Balanced Attention Toward Coronavirus Disease 2019 and Neglected Tropical Diseases

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has been spreading since 2019, causing a worldwide pandemic. Amid the COVID-19 pandemic, tuberculosis, AIDS, and malaria have adversely affected the quality of life of patients and killed millions of people. In addition, COVID-19 continues to impede the delivery of health services, including those for the control of neglected tropical diseases (NTDs). Furthermore, NTDs have been reported as possible co-pathogens among patients infected with COVID-19. However, studies regarding parasitic co-infection among these patients have been limited. This review aimed to explore and describe the cases and reports of parasitic infections in the backdrop of COVID-19 to provide comprehensive knowledge regarding this aspect. We reviewed seven cases of patients who had parasitic co-infection and tested positive for COVID-19, and summarized the literature on the importance of controlling parasitic diseases. In addition, we identified recommendations for the control of parasitic diseases under possible difficulties, such as declining funding for parasitic diseases in 2020. This review highlights the growing burden of NTDs under COVID-19 that may be caused by the deficiency of healthcare infrastructure and human resources as the main reasons. Clinicians should remain vigilant for possible co-infections with parasites in COVID-19 patients, while policymakers are urged to reinforce a balanced and long-term health strategy that addresses both NTDs and COVID-19.