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.

Using Radiomics-Based Machine Learning to Create Targeted Test Sets to Improve Specific Mammography Reader Cohort Performance: A Feasibility Study

Mammography interpretation is challenging with high error rates. This study aims to reduce the errors in mammography reading by mapping diagnostic errors against global mammographic characteristics using a radiomics-based machine learning approach. A total of 36 radiologists from cohort A (n = 20) and cohort B (n = 16) read 60 high-density mammographic cases. Radiomic features were extracted from three regions of interest (ROIs), and random forest models were trained to predict diagnostic errors for each cohort. Performance was evaluated using sensitivity, specificity, accuracy, and AUC. The impact of ROI placement and normalization on prediction was investigated. Our approach successfully predicted both the false positive and false negative errors of both cohorts but did not consistently predict location errors. The errors produced by radiologists from cohort B were less predictable compared to those in cohort A. The performance of the models did not show significant improvement after feature normalization, despite the mammograms being produced by different vendors. Our novel radiomics-based machine learning pipeline focusing on global radiomic features could predict false positive and false negative errors. The proposed method can be used to develop group-tailored mammographic educational strategies to help improve future mammography reader performance.

Clinical misdiagnosis of influenza infection with a confusing clinical course: A case report

A 32-year-old woman with a history of hypothyroidism and major depressive disorder was admitted with severe weakness and somnolence. She had tachycardia and hypotension, indicative of severe dehydration, and was treated with a vasopressor and sodium bicarbonate, but her clinical manifestations deteriorated. A high-resolution computed tomography (HRCT) scan showed a patchy ground glass appearance with interlobular septal thickening, suggesting pneumonia. Reverse transcription-polymerase chain reaction (RT-PCR) was requested for the influenza A virus (IAV), which was positive. The patient was treated with oseltamivir and discharged with improved clinical symptoms.

Computerised clinical decision support system for the diagnosis of pulmonary thromboembolism: a preclinical pilot study

BACKGROUND

Recommendations for the diagnosis of pulmonary embolism are available for healthcare providers. Yet, real practice data show existing gaps in the translation of evidence-based recommendations. This is a study to assess the effect of a computerised decision support system (CDSS) with an enhanced design based on best practices in content and reasoning representation for the diagnosis of pulmonary embolism.

DESIGN

Randomised preclinical pilot study of paper-based clinical scenarios in the diagnosis of pulmonary embolism. Participants were clinicians (n=30) from three levels of experience: medical students, residents and physicians. Participants were randomised to two interventions for the diagnosis of pulmonary embolism: a didactic lecture versus a decision tree via a CDSS. The primary outcome of diagnostic pathway concordance (derived as a ratio of the number of correct diagnostic decision steps divided by the ideal number of diagnostic decision steps in diagnostic algorithms) was measured at baseline (five clinical scenarios) and after either intervention for a total of 10 clinical scenarios.

RESULTS

The mean of diagnostic pathway concordance improved in both study groups: baseline mean=0.73, post mean for the CDSS group=0.90 (p<0.001, 95% CI 0.10-0.24); baseline mean=0.71, post mean for didactic lecture group=0.85 (p<0.001, 95% CI 0.07-0.2). There was no statistically significant difference between the two study groups or between the three levels of participants.

INTERPRETATION

A computerised decision support system designed for both content and reasoning visualisation can improve clinicians' diagnostic decision-making.

Mental health bias in physical care: An integrative review of the literature

WHAT IS KNOWN ON THE SUBJECT?: Individuals experiencing mental illness make up a significant portion of the world's population. Individuals with mental illness experience higher rates of morbidity and die on average at least a decade earlier than individuals without mental health disorders. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: Issues of stigma, diagnostic overshadowing, premature closure, inadequate workup, fear and lack of training negatively impact the care of individuals with mental illness. Issues impacting the care of individuals experiencing mental illness cross geographic and care setting boundaries. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Partnerships between physical and mental health practitioners are needed to thoroughly assess and accurately diagnose symptoms experienced by individuals with mental illness. Educational interventions can help prepare practitioners to care for individuals with mental illness. Nurses can better advocate for effective patient care by learning about the phenomenon of diagnostic overshadowing and calling attention to its occurrence. ABSTRACT: Introduction Individuals with mental illness experience significantly higher overall rates of morbidity and mortality than counterparts without mental illness. Misdiagnosis of symptoms emanating from physical illnesses as psychiatric in nature presents one important cause. Aim This integrative review explores research on healthcare professionals' misattribution of physical health symptoms to patients' comorbid psychiatric issues and seeks to identify unifying themes, shared causes, and possible strategies for addressing the issue. Method This review uses Whittemore and Knafl's 2005 integrative review methodology coupled with vetted quality appraisal tools. Results Following a systematic search of allied health, medical, psychological, sociological and general literature, 24 publications employing qualitative, quantitative, mixed and synthesis research methodologies were selected. Each study was appraised according to design, and relevant data were extracted. Discussion Themes of stigmatization, diagnostic overshadowing, incomplete medical examination, insufficient training, and fears experienced by providers and patients emerged. Implications for Practice Increased partnering between physical and mental health practitioners, continuing education, and improving patient-provider communication are key to providing equitable care. Nurses play primary roles in empathizing with patients, advocating for appropriate care and educating others on the dangers of misattributing physical symptoms to psychiatric cause.

Chronic inflammatory demyelinating polyradiculoneuropathy: Diagnostic problems in clinical practice in Serbia

Making diagnosis of chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is challenging since it can mimic a multitude of disorders, and is misdiagnosed in at least 50% of cases. We sought to determine the frequency of CIDP misdiagnosis in clinical practice in Serbia, to uncover CIDP mimics, and to identify factors that may aid in CIDP diagnosis. Our longitudinal retrospective cohort study included 86 eligible adult patients referred to the Neurology Clinic, University Clinical Centre of Serbia, with a diagnosis of CIDP. We also included 15 patients referred to us with different diagnoses that ended up having CIDP as their final diagnosis. Exactly half of patients referred as CIDP failed to meet the established diagnostic criteria (non-CIDP) and were given an alternative diagnosis at the first hospitalization. At the 1-year follow-up, the diagnosis was further revised in four subjects. Confirmed CIDP patients usually had their initial diagnosis based on the nerve conduction studies (NCS), a typical presentation with symmetrical involvement of all four limbs, as well as higher frequencies of elevated protein levels and albuminocytologic dissociation in the cerebrospinal fluid (CSF). CIDP patients also responded better to immune therapy. We found that 52% of the patients initially referred to our Clinic as CIDP were given other diagnoses after a 1-year follow-up. Out of all CIDP cases, 27% had been unrecognized prior to referral to our Center. Utilization of clear and objective indicators - conclusive NCS, improvement on therapy, and elevated CSF proteins may provide greater certainty in diagnosing CIDP.

Evaluation of a national database of completed investigations into radiology service complaints in New Zealand: What can the radiologist, and radiology service providers, learn?

INTRODUCTION

The Health and Disability Commissioner (HDC) is responsible for dealing with most complaints from service users resulting from their interactions with a healthcare service provider in New Zealand. We analysed all published reports involving a radiologist or radiology service in order to gain insights that might promote safer working across the radiology community.

METHODS

We searched the entire HDC online report database choosing a limit of 'radiologist' as occupation.

RESULTS

Twenty-seven investigations were included, published between 1999 and 2021. Seventeen (63%) involved private radiology providers and 10 (37%) involved public providers. Ultrasound featured in 12 cases (44%), x-ray 6 (22%), CT 5 (19%), mammography 2 (7%), MRI 1 (4%) and interventional 1 (4%). Obstetric ultrasound accounted for 9 (75%) of the ultrasound cases. In 24 (89%) cases, the HDC felt an error had been made. Of the 34 radiologists investigated, 21 (62%) were found in breach of the HDC code, with adverse comment made regarding 4 (12%). A total of 46 incidences of different error types were identified including: communication 14 (30%), perceptual 11 (24%), technical 8 (17%) and interpretative 7 (15%). Forty-five incidences of contributing factors were identified, including organizational 9 (20%) and clinical information provided 7 (16%).

CONCLUSION

Errors in radiology practice, leading to complaints, are often multifactorial and systemic. Reflection on the myriad of error types and contributing factors (including 'human factors') is imperative to reduce errors. Multifaceted strategies are likely required for radiologists to enhance their systems and practice.

Trigeminal neuralgia in patients with cerebellopontine angle tumors: should we always blame the tumor? A case report and review of literature

OBJECTIVES

This report seeks to highlight a pitfall that may be encountered in the management of patients with trigeminal neuralgia with imaging showing both neurovascular conflict as well as tumors.

CASE PRESENTATION

A case of a 53 year old male with simultaneous neurovascular conflict and a vestibular schwannoma with trigeminal neuralgia is presented and the management is discussed with reference to managing this particular subset. Pain was noted to be likely generated by neurovascular conflict and not by the tumor, which is usually not the case.

CONCLUSIONS

It is suggested that in such cases, microvascular decompression should always be performed in addition to removal of the tumor.

Three Visual-Diagnostic Methods for the Detection of Enamel Cracks: An In Vitro Study

Tooth fractures are a common cause of tooth loss, frequently starting as enamel cracks. However, methods for the detection of enamel cracks are poorly investigated. The aim of the study was the validation of three clinical methods for the detection of enamel cracks: dental operating microscope (DOM), near-infrared transillumination (NIR), and fiber-optic transillumination (FOTI), with hard-tissue slices serving as controls. A total of 89 extracted teeth, set up as diagnostic models, were investigated, and the maximum crack depth was scored by two examiners. The actual crack depth was determined microscopically (25×) using horizontal sections. The accuracy of each method was analyzed using receiver operating characteristic (ROC) curves. Across all tooth surfaces, the area under the curve (AUC) amounted to 0.57 (DOM), 0.70 (FOTI), and 0.67 (NIR). For crack detection on vestibular/oral surfaces, the AUC was 0.61 (DOM), 0.78 (FOTI), and 0.74 (NIR); for proximal surfaces, it was 0.59 (DOM), 0.65 (FOTI), and 0.67 (NIR). However, the actual crack depth was underestimated with each method (p < 0.001). Under in vitro conditions, FOTI and NIR are suitable for detection of enamel cracks, especially on vestibular and oral tooth surfaces. However, an exact estimation of crack depth is not possible. Therefore, FOTI and NIR seem to be helpful for the clinical detection of enamel cracks.

Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions

Objective

To evaluate the feasibility, accuracy, and interoperability of a natural language processing (NLP) system that extracts diagnostic assertions of pneumonia in different clinical notes and institutions.

Materials and Methods

A rule-based NLP system was designed to identify assertions of pneumonia in 3 types of clinical notes from electronic health records (EHRs): emergency department notes, radiology reports, and discharge summaries. The lexicon and classification logic were tailored for each note type. The system was first developed and evaluated using annotated notes from the Department of Veterans Affairs (VA). Interoperability was assessed using data from the University of Utah (UU).

Results

The NLP system was comprised of 782 rules and achieved moderate-to-high performance in all 3 note types in VA (precision/recall/f1: emergency = 88.1/86.0/87.1; radiology = 71.4/96.2/82.0; discharge = 88.3/93.0/90.1). When applied to UU data, performance was maintained in emergency and radiology but decreased in discharge summaries (emergency = 84.7/94.3/89.3; radiology = 79.7/100.0/87.9; discharge = 65.5/92.7/76.8). Customization with 34 additional rules increased performance for all note types (emergency = 89.3/94.3/91.7; radiology = 87.0/100.0/93.1; discharge = 75.0/95.1/83.4).

Conclusion

NLP can be used to accurately identify the diagnosis of pneumonia across different clinical settings and institutions. A limited amount of customization to account for differences in lexicon, clinical definition of pneumonia, and EHR structure can achieve high accuracy without substantial modification.

Understanding the Prodromal Period of Necrotizing Soft Tissue Infections of the Genitalia (Fournier's Gangrene) and the Incidence, Duration, and Risk Factors Associated With Potential Missed Opportunities for an Earlier Diagnosis: A Population-based Longitudinal Study

PURPOSE

The purpose of this paper was to investigate patterns of health care utilization leading up to diagnosis of necrotizing soft tissue infections of the genitalia and to identify risk factors associated with potential diagnostic delay.

MATERIALS AND METHODS

IBM MarketScan Research Databases (2001-2020) were used to identify index cases of necrotizing soft tissue infections of the genitalia. We identified health care visits for symptomatically similar diagnoses (eg, penile swelling, cellulitis) that occurred prior to necrotizing soft tissue infections of the genitalia diagnosis. A change-point analysis identified the window before diagnosis where diagnostic opportunities first appeared. A simulation model estimated the likelihood symptomatically similar diagnosis visits represented a missed opportunity for earlier diagnosis. Patient and provider characteristics were evaluated for their associations with delay.

RESULTS

We identified 8,098 patients with necrotizing soft tissue infections of the genitalia, in which 4,032 (50%) had a symptomatically similar diagnosis visit in the 21-day diagnostic window, most commonly for "non-infectious urologic abnormalities" (eg, genital swelling; 64%): 46% received antibiotics; 16% saw a urologist. Models estimated that 5,096 of the symptomatically similar diagnosis visits (63%) represented diagnostic delay (mean duration 6.2 days; mean missed opportunities 1.8). Risk factors for delay included urinary tract infection history (OR 2.1) and morbid obesity (OR 1.6). Visits to more than 1 health care provider/location in a 24-hour period significantly decreased delay risk.

CONCLUSIONS

Nearly 50% of insured patients who undergo debridement for, or die from, necrotizing soft tissue infections of the genitalia will present to a medical provider with a symptomatically similar diagnosis suggestive of early disease development. Many of these visits likely represent diagnostic delay. Efforts to minimize logistic and cognitive biases in this rare condition may lead to improved outcomes if they lead to earlier interventions.

Diagnostic overshadowing: An evolutionary concept analysis on the misattribution of physical symptoms to pre-existing psychological illnesses

This evolutionary concept analysis explores the meaning of diagnostic overshadowing within the context of physical health care for individuals with mental illness. Diagnostic overshadowing, the misattribution of symptoms of one illness to an already diagnosed comorbidity, leads to compromised patient care and likely contributes to increased mortality experienced by individuals with mental illness. A systematic literature search led to identification of a sample of 25 publications on the topic. Following Rodgers' Evolutionary Concept Analysis methodology, this literature sample yielded unifying definitions, shared themes, factors contributing to the action of diagnostic overshadowing, outcomes caused by this type of misdiagnosis, and possible interventions available to nurses and other healthcare providers. Understanding of the concept diagnostic overshadowing may help prevent its occurrence and its adverse results.

Defining Diagnostic Error: A Scoping Review to Assess the Impact of the National Academies' Report Improving Diagnosis in Health Care

BACKGROUND

Standards for accurate and timely diagnosis are ill-defined. In 2015, the National Academies of Science, Engineering, and Medicine (NASEM) committee published a landmark report, Improving Diagnosis in Health Care , and proposed a new definition of diagnostic error, "the failure to ( a ) establish an accurate and timely explanation of the patient's health problem(s) or ( b ) communicate that explanation to the patient."

OBJECTIVE

This study aimed to explore how researchers operationalize the NASEM's definition of diagnostic error with relevance to accuracy, timeliness, and/or communication in peer-reviewed published literature.

METHODS

Using the Arskey and O'Malley's framework framework, we identified published literature from October 2015 to February 2021 using Medline and Google Scholar. We also conducted subject matter expert interviews with researchers.

RESULTS

Of 34 studies identified, 16 were analyzed and abstracted to determine how diagnostic error was operationalized and measured. Studies were grouped by theme: epidemiology, patient focus, measurement/surveillance, and clinician focus. Nine studies indicated using the NASEM definition. Of those, 5 studies also operationalized with existing definitions proposed before the NASEM report. Four studies operationalized the components of the NASEM definition and did not cite existing definitions. Three studies operationalized error using existing definitions only. Subject matter experts indicated that the NASEM definition functions as foundation for researchers to conceptualize diagnostic error.

CONCLUSIONS

The NASEM report produced a common understanding of diagnostic error that includes accuracy, timeliness, and communication. In recent peer-reviewed literature, most researchers continue to use pre-NASEM report definitions to operationalize accuracy and timeliness. The report catalyzed the use of patient-centered concepts in the definition, resulting in emerging studies focused on examining errors related to communicating diagnosis to patients.

Quality Improvement in a Pediatric Echocardiography Laboratory: A Collaborative Process

Transthoracic echocardiography (TTE) is an essential tool for diagnosis and management of congenital heart disease. Pediatric echocardiography presents unique challenges including complex anatomy, variable patient cooperation and provider expertise. Diagnostic errors inevitably occur. We designed a collaborative and stepwise quality improvement (QI) process to address diagnostic errors within our laboratory. We retrospectively reviewed medical records to identify diagnostic TTE errors in 100 consecutive cardiac surgery patients ≤ 5 years old (July 2020-January 2021). We identified 18 diagnostic errors. Most errors had minor impact (14/18), and 13 were preventable or possibly preventable. We presented these results to our sonographers and faculty and requested input on preventing and managing diagnostic errors. Our root cause analysis based on their responses yielded 7 areas for improvement (imaging, reporting, systems, time, environment, people, QI processes). Our faculty and sonographers chose QI processes and imaging as initial areas for intervention. We defined our SMART goal as a 10% reduction in diagnostic errors. We implemented interventions focused on QI processes. On initial follow up in May 2022, we identified 7 errors in 70 patients (44% reduction in error rate). Utilizing a stepwise and team-based approach, we successfully developed QI initiatives in our echocardiography laboratory. This approach can serve as a model for a collaborative QI process in other institutions.

The e-Autopsy/e-Biopsy: a systematic chart review to increase safety and diagnostic accuracy

Solving diagnostic errors is difficult and progress on preventing those errors has been slow since the 2015 National Academy of Medicine report. There are several methods used to improve diagnostic and other errors including voluntary reporting; malpractice claims; patient complaints; physician surveys, random quality reviews and audits, and peer review data which usually evaluates single cases and not the systems that allowed the error. Additionally, manual review of charts is often labor intensive and reviewer dependent. In 2010 we developed an e-Autopsy/e-Biopsy (eA/eB) methodology to aggregate cases with quality/safety/diagnostic issues, focusing on a specific population of patients and conditions. By performing a hybrid review process (cases are first filtered using administrative data followed by standardized manual chart reviews) we can efficiently identify patterns of medical and diagnostic error leading to opportunities for system improvements that have improved care for future patients. We present a detailed methodology for eA/eB studies and describe results from three successful studies on different diagnoses (ectopic pregnancy, abdominal aortic aneurysms, and advanced colon cancer) that illustrate our eA/eB process and how it reveals insights into creating systems that reduce diagnostic and other errors. The eA/eB process is innovative and transferable to other healthcare organizations and settings to identify trends in diagnostic error and other quality issues resulting in improved systems of care.

Digital intraoral imaging: analysis of retakes and reduction in radiation exposure using rectangular collimation

The purposes of this study were to examine the distribution and extent of retakes with digital intraoral imaging when operators transitioned from using round to rectangular collimators and to determine the effect of collimator shape on radiation exposure to patients. This study was conducted using digital intraoral radiographic data from 2018 to 2019 in a dental school radiology clinic. Digital intraoral radiography was performed with round collimators during 2018 and then with rectangular collimators in 2019 with the same cohort of students. Exposure values were obtained, and effective doses were calculated. Although the number of retakes increased with the transition from round to rectangular collimators, the transition also resulted in a statistically significant reduction in the overall effective dose for patients (P < 0.01; Pearson chi-square test), with an average difference of 60% between round and rectangular collimators. Even with the increase in the number of retakes, a decrease in effective dose was observed when rectangular collimation was used. Most retakes were due to placement errors, defined as missing contact points, missing apices of teeth, or a missing area of interest. As students gained more experience and practice with rectangular collimation, the number of retakes decreased. With proper clinical and didactic training and emphasis on the importance of rectangular collimation, a transition from round to rectangular collimation can be achieved with a minimal initial increase in retakes and subsequent normalization of rates, resulting in a significant reduction of the radiation dose to patients.

Creating a Learning Health System for Improving Diagnostic Safety: Pragmatic Insights from US Health Care Organizations

OBJECTIVE

To identify challenges and pragmatic strategies for improving diagnostic safety at an organizational level using concepts from learning health systems METHODS: We interviewed 32 safety leaders across the USA on how their organizations approach diagnostic safety. Participants were recruited through email and represented geographically diverse academic and non-academic settings. The interview included questions on culture of reporting and learning from diagnostic errors; data gathering and analysis activities; diagnostic training and educational activities; and engagement of clinical leadership, staff, patients, and families in diagnostic safety activities. We conducted an inductive content analysis of interview transcripts and two reviewers coded all data.

RESULTS

Of 32 participants, 12 reported having a specific program to address diagnostic errors. Multiple barriers to implement diagnostic safety activities emerged: serious concerns about psychological safety associated with diagnostic error; lack of infrastructure for measurement, monitoring, and improvement activities related to diagnosis; lack of leadership investment, which was often diverted to competing priorities related to publicly reported measures or other incentives; and lack of dedicated teams to work on diagnostic safety. Participants provided several strategies to overcome barriers including adapting trigger tools to identify safety events, engaging patients in diagnostic safety, and appointing dedicated diagnostic safety champions.

CONCLUSIONS

Several foundational building blocks related to learning health systems could inform organizational efforts to reduce diagnostic error. Promoting an organizational culture specific to diagnostic safety, using science and informatics to improve measurement and analysis, leadership incentives to build institutional capacity to address diagnostic errors, and patient engagement in diagnostic safety activities can enable progress.

Use of e-triggers to identify diagnostic errors in the paediatric ED

BACKGROUND

Diagnostic errors (DxEs) are an understudied source of patient harm in children rarely captured in current adverse event reporting systems. Applying electronic triggers (e-triggers) to electronic health records shows promise in identifying DxEs but has not been used in the emergency department (ED) setting.

OBJECTIVES

To assess the performance of an e-trigger and subsequent manual screening for identifying probable DxEs among children with unplanned admission following a prior ED visit and to compare performance to existing incident reporting systems.

DESIGN/METHODS

Retrospective single-centre cohort study of children ages 0-22 admitted within 14 days of a previous ED visit between 1 January 2018 and 31 December 2019. Subjects were identified by e-trigger, screened to identify cases where index visit and hospital discharge diagnoses were potentially related but pathophysiologically distinct, and then these screened-in cases were reviewed for DxE using the SaferDx Instrument. Cases of DxE identified by e-trigger were cross-referenced against existing institutional incident reporting systems.

RESULTS

An e-trigger identified 1915 unplanned admissions (7.7% of 24 849 total admissions) with a preceding index visit. 453 (23.7%) were screened in and underwent review using SaferDx. 92 cases were classified as likely DxEs, representing 0.4% of all hospital admissions, 4.8% among those selected by e-trigger and 20.3% among those screened in for review. Half of cases were reviewed by two reviewers using SaferDx with substantial inter-rater reliability (Cohen's κ=0.65 (95% CI 0.54 to 0.75)). Six (6.5%) cases had been reported elsewhere: two to the hospital's incident reporting system and five to the ED case review team (one reported to both).

CONCLUSION

An e-trigger coupled with manual screening enriched a cohort of patients at risk for DxEs. Fewer than 10% of DxEs were identified through existing surveillance systems, suggesting that they miss a large proportion of DxEs. Further study is required to identify specific clinical presentations at risk of DxEs.

Understanding barriers to diagnosis in a rare, genetic disease: Delays and errors in diagnosing schwannomatosis

Diagnosis of rare, genetic diseases is challenging, but conceptual frameworks of the diagnostic process can guide quality improvement initiatives. Using the National Academy of Medicine diagnostic framework, we assessed the extent of, and reasons for diagnostic delays and diagnostic errors in schwannomatosis, a neurogenetic syndrome characterized by nerve sheath tumors and chronic pain. We reviewed the medical records of 97 people with confirmed or probable schwannomatosis seen in two US tertiary care clinics. Time-to-event analysis revealed a median time from first symptom to diagnosis of 16.7 years (95% CI, 7.5-26.0 years) and median time from first medical consultation to diagnosis of 9.8 years (95% CI, 3.5-16.2 years). Factors associated with longer times to diagnosis included initial signs/symptoms that were intermittent, non-specific, or occurred at younger ages (p < 0.05). Thirty-six percent of patients were misdiagnosed; misdiagnoses were of underlying genetic condition (18.6%), pain etiology (16.5%), and nerve sheath tumor presence/pathology (11.3%) (non-mutually exclusive categories). One-fifth (19.6%) of patients had a clear missed opportunity for genetics workup that could have led to an earlier schwannomatosis diagnosis. These results suggest that interventions in clinician education, genetic testing availability, expert review of pathology findings, and automatic triggers for genetics referrals may improve diagnosis of schwannomatosis.

Misdiagnoses in a Brazilian population with amyotrophic lateral sclerosis

BACKGROUND

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that affects the upper and lower motor neurons. The correct diagnosis at the onset of the disease is sometimes very difficult, due to the symptoms being very similar to those of other neurological syndromes.

OBJECTIVE

This study aimed to analyze the initial manifestations, the specialty of the first physician visited due the initial complaint, the misdiagnoses, as well as the unnecessary surgical interventions in a new ALS Brazilian population.

METHODS

The medical records of 173 patients with typical ALS were reviewed.

RESULTS

The present study demonstrated that other symptoms, besides weakness, were very frequent as initial presentation of ALS, and orthopedics was the medical specialty most sought by patients at the onset of symptoms. Our frequency of misdiagnoses was 69.7%, and in 7.1% of them, an unnecessary surgical intervention was performed.

CONCLUSIONS

Amyotrophic lateral sclerosis presents a very large pool of signs and symptoms; therefore, there is an urgent need of increasing the disease awareness to other specialties due to the high frequency of misdiagnoses observed in clinical practice.