Diagnostic Experience Research Articles

Bowel cancer diagnosis experiences as a predictor of overall care rating: evidence from the English Cancer Patient Experience Survey

ObjectiveTo investigate whether and which negative diagnosis-related experiences of patients newly diagnosed with colorectal cancer (CRC) are associated with a poorer overall rating of care, to help prioritise interventions.MethodsA secondary...

Bubble defect detection for tire shearography images with transfer learning based deep CNN models

Abstract Safety of drivers and passengers is an important quality assurance aim of the tire manufacturers. Tires that have air bubbles in them are a frequent cause of accidents. Recently, manufacturers have placed a high value on employing laborers with tire diagnostic experience. Along with the expenditure of time and money, this process also necessitates a sizable workforce of experienced laborers. The detection of tire defects can be automated utilizing a number of different ways, greatly reducing the margin for human error. One such method is digital shearography, which can be used to detect air bubbles in images. In this study, transfer learning-based models are proposed to classify air bubble defects in tire shearography images. Proposed method employed in transfer learning with several deep learning CNN-based models, including VGG16, VGG19, ResNet50, Xception, MobileNetV2 and DenseNet201. Owing to the assistance of the experts at the Pirelli Automobile Tires Izmit factory, we were able to collect and label the dataset used in this study. The dataset contains 1392 tire shearography images. 811 of these images belong to the “good” class, while the remaining 581 images belong to the “bad” class. The proposed method in this study achieves remarkable bubble detection results over 95% in terms of accuracy and other metrics with the DenseNet201 model. The results indicate that the proposed model has comparable accuracy and recall with the existing studies. This study is valuable for the tire industry, as the existing literature offers limited research on the classification of tire bubble defects, the differentiation between defective and defect-free tires, and the categorization of various defect types. In addition, the proposed model offers several advantages over existing studies, including higher robustness against overfitting, suitability for real-time industrial applications, and improved efficiency in processing, making a practical solution for defect detection in industrial settings.

Black Caregiver Perspectives During a Developmental Diagnostic Interview.

Despite increasing autism prevalence rates across racial and ethnic groups, research has traditionally overlooked the influence of culture on developmental diagnostic conversations. Addressing this gap in research is crucial to understanding and mitigating potential disparities in diagnostic experiences, especially among Black caregivers. Black caregivers encounter frustration and discrimination during the diagnostic process, citing dismissiveness and a lack of cultural competence from healthcare providers. To address these issues, this study centers the perspectives of Black caregivers as they participate in a developmental diagnostic program for toddlers under three years of age. This retrospective qualitative study, conducted exclusively by a Black research team, involved nineteen Black caregivers of thirteen toddlers as they participated in semi-structured interviews conducted by a multidisciplinary clinical team. The research team employed a conceptual content analysis to examine caregivers' descriptions of their children's behaviors and characteristics, as well as the factors and experiences associated with their descriptions. Caregivers provided distinct descriptions of behaviors and characteristics in the categories of language and communication, learning, and temperament, associating them with situational and dispositional factors and experiences. The findings offer valuable insights for implementing culturally responsive diagnostic practices. Additionally, these results may enhance the quality of caregiver-provider interactions during developmental assessment, leading to earlier and more accurate diagnoses for Black children.

Створення надійних ноутбуків на основі простих змінних компонентів

The subject of study in this article and research is principles of creating of reliable and repairable notebooks. The goal is to determine the structural and circuitral peculiarities of the construction of portable computers and laptops, which improve fault tolerance, repairability, allow possibility of power supply using wider voltage range, and also reduce the cost of repairing, which makes it possible to create more reliable solutions with fault tolerance. The task is to analyze the existing architectures of computers built on modern chipsets; to analyze cases of failure of the computer equipment regarding the causes and consequences of faults; to analyze the possible reasonability of repairing and the computer repair options; to propose recommendations of the structural organization of notebook components and the recommendations for the support of a wide range of notebook voltages of power supply. According to the tasks, the following results were obtained. The analysis of the constructional design features of modern laptops and portable computers is performed. The main components of notebook motherboard, including the processor, multicontroller, and host bridge, are analyzed. The possible causes of faults of system board components are analyzed. The interaction of the multicontroller with BIOS and UEFI of notebooks is analyzed. The causes and solutions of possible issues of battery replacement are identified. The disadvantages of direct wired connection of peripheral devices to the processors implemented as a system on chip are discussed. The recommendations of the creation of repairable circuits of notebooks are proposed. The proposed circuits have a higher cost, weight and size characteristics with higher power consumption, but the obtained fault-tolerance allows the use in critical industries. Conclusions. The scientific novelty of the obtained results is in the fact that the performed analysis of solutions from leading manufacturers and the practical experience of laptop failures diagnostics allowed to propose a set of recommendations of the reliable laptops creation and modification of the existing components including the suppor of a wide range of power supply voltages, that will make it possible the charging from power sources without the use of an additional converters. The proposed use of discrete components and controllers for each interface port for connection of peripheral devices increases the system durability to the influence of external factors with maintaining of workability of the notebook and the rest ports of motherboard in case of the fault of one of them.

Polymyalgia rheumatica following COVID-19 vaccination: Case series of 3 patients and literature review on polymyalgia rheumatica induced by various vaccines.

Since the onset of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic in 2019, considerable resources have been devoted to developing vaccines to reduce related deaths and the burden of disease. Various vaccine formulations eventually became available and were approved for clinical use. In this article, we have conducted a review of polymyalgia rheumatica (PMR) cases induced by different COVID-19 vaccines [Pfizer: BNT162b2, AstraZeneca: ChAdOx1-S, Moderna: mRNA-1273, and Janssen: Ad26.COV2.S)], as well as non-COVID-19 vaccines, such as influenza, zoster, hepatitis B, and tetanus vaccines. Additionally, this article investigates 3 cases with clinical presentations suggestive of PMR following COVID-19 mRNA vaccination. This study aims to offer valuable insights through sharing diagnostic and therapeutic experiences. Three patients presented with severe pain and stiffness in both shoulder and pelvic girdle muscles, following COVID-19 mRNA vaccination. Clinical presentations, laboratory parameters, and echographic findings confirmed the diagnosis of PMR following COVID-19 mRNA vaccination. Patients received Prednisone and/or Methotrexate adjusted to body weight. Polymyalgia rheumatica resolved successfully without any adverse events. Although direct causality was not definitively established in this article, the BNT162b2 COVID-19 mRNA vaccine, similar to other vaccines, might be considered a potential trigger for PMR. This raises the need for further research into this issue and potentially other immunological outcomes.

Facia-fix: mobile application for bell’s palsy diagnosis and assessment using computer vision and deep learning

Facial paralysis (FP) is a condition characterized by the inability to move some or all of the muscles on one or both sides of the face. Diagnosing FP presents challenges due to the limitations of traditional methods, which are time-consuming, uncomfortable for patients, and require specialized clinicians. Additionally, more advanced tools are often uncommonly available to all healthcare providers. Early and accurate detection of FP is crucial, as timely intervention can prevent long-term complications and improve patient outcomes. To address these challenges, our research introduces Facia-Fix, a mobile application for Bell's palsy diagnosis, integrating computer vision and deep learning techniques to provide real-time analysis of facial landmarks. The classification algorithms are trained on the publicly available YouTube FP (YFP) dataset, which is labeled using the House-Brackmann (HB) method, a standardized system for assessing the severity of FP. Different deep learning models were employed to classify the FP severity, such as MobileNet, CNN, MLP, VGG16, and Vision Transformer. The MobileNet model which uses transfer learning, achieved the highest performance (Accuracy: 0.9812, Precision: 0.9753, Recall: 0.9727, F1 Score: 0.974), establishing it as the optimal choice among the evaluated models. The innovation of this approach lies in its use of advanced deep learning models to provide accurate, objective, non-invasive and real-time comprehensive quantitative assessment of FP severity. Preliminary results highlight the potential of Facia-Fix to significantly improve the diagnostic and follow-up experiences for both clinicians and patients.

Diagnostic accuracy of rapid antigen tests for detection of Delta and Omicron variants of severe acute respiratory syndrome coronavirus 2: Direct evidence from prospective clinical settings.

Despite widespread application during the coronavirus disease-19 pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection using patient-performed rapid antigen tests (RATs) is limited, especially regarding the Delta and Omicron variants. Therefore, in this study, we evaluated the performance of RATs in identifying Delta and Omicron infections in self-test settings. In this multicenter clinical performance study conducted in Korea between November 2021 and February 2022, we included participants without prior diagnostic device experience. Using 2 RAT types, we compared the results with real-time reverse transcriptase-polymerase chain reaction testing, focusing on clinical sensitivity and specificity. Reverse transcriptase-polymerase chain reaction helped confirm 77 SARS-CoV-2 infections among 280 participants. RATs exhibited high positive agreement for Omicron detection but lower rates for Delta, especially among partially vaccinated individuals. This study provides direct evidence that RATs, originally developed for ancestral strains of SARS-CoV-2, effectively detect major variants such as Delta and Omicron in real patient/clinical settings. By confirming variant presence through sequencing, our research offers significant and novel insights into the performance of RATs, particularly in the context of breakthrough infections postvaccination, with precise data on vaccination status and timing obtained from government records.

Adult Tillaux-Chaput tubercle fracture of the ankle with rupture of the peroneus tertius muscle: a case report

BackgroundTillaux-Chaput tubercle fractures occur in adolescents, which are often associated with the separation of the distal tibial growth plate. These types of fractures are rare in adults and even rarer when accompanied by a rupture of the peroneus tertius muscle. Given the limited number of reported cases, there is limited clinical awareness, resulting in missed diagnoses and delayed treatment, ultimately affecting ankle function.Case presentationWe report a case of an adult patient who experienced a right ankle injury resulting in swelling and pain after a traffic accident. Initial examination failed to identify the rupture of the peroneus tertius muscle, but the patient was observed to have restricted dorsiflexion and eversion of the foot. Surgical exploration through an anterolateral incision confirmed the rupture and the muscle was then repaired. The patient received four weeks of cast immobilization and then engaged in progressive rehabilitation exercises.Discussion and conclusionThis report shares the diagnostic and therapeutic experiences of an adult with a Tillaux-Chaput tubercle fracture associated with peroneus tertius muscle rupture to improve clinical recognition of such injuries, thus preventing misdiagnosis and treatment delays.

The Evolution From Standardized to Virtual Patients in Medical Education.

Standardized patients (SPs) are widely used in medical education to teach clinical skills and provide assessments. SPs allow students to practice history taking, physical exams, and communication in controlled settings. However, SPs have limitations such as fatigue, performance variability, and the inability to simulate certain conditions, which virtual patients (VPs) can address. VPs can address these limitations and offer consistency, scalability, and adaptability. Although VPs are being implemented in research settings, they have the potential to be powerful medical education tools. Advancements in immersive technologies such as virtual reality, haptic feedback, and artificial intelligence (AI) will allow the creation of hyper-realistic, interactive training environments that mimic the complexity of real patient encounters. Medical students will be able to engage with VPs in fully immersive settings, complete with haptic feedback and AI-driven dialogue, allowing for more lifelike diagnostic and procedural experiences. The wider availability of such technologies through web services has implications for global medical education and assessment.

Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic study.

To evaluate the performance of ultrasound-based deep learning (DL) models in distinguishing breast phyllodes tumours (PTs) from fibroadenomas (FAs) and their clinical utility in assisting radiologists with varying diagnostic experiences. We retrospectively collected 1180 ultrasound images from 539 patients (247 PTs and 292 FAs). Five DL network models with different structures were trained and validated using nodule regions annotated by radiologists on breast ultrasound images. DL models were trained using the methods of transfer learning and 3-fold cross-validation. The model demonstrated the best evaluation index in the 3-fold cross-validation was selected for comparison with radiologists' diagnostic decisions. Two-round reader studies were conducted to investigate the value of DL model in assisting 6 radiologists with different levels of experience. Upon testing, Xception model demonstrated the best diagnostic performance (area under the receiver-operating characteristic curve: 0.87; 95% CI, 0.81-0.92), outperforming all radiologists (all P < .05). Additionally, the DL model enhanced the diagnostic performance of radiologists. Accuracy demonstrated improvements of 4%, 4%, and 3% for senior, intermediate, and junior radiologists, respectively. The DL models showed superior predictive abilities compared to experienced radiologists in distinguishing breast PTs from FAs. Utilizing the model led to improved efficiency and diagnostic performance for radiologists with different levels of experience (6-25 years of work). We developed and validated a DL model based on the largest available dataset to assist in diagnosing PTs. This model has the potential to allow radiologists to discriminate 2 types of breast tumours which are challenging to identify with precision and accuracy, and subsequently to make more informed decisions about surgical plans.

Polycystic Ovary Syndrome: A Comprehensive Exploration of Diagnosis Experience in Saudi Women.

Background/Objectives: Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder among women of reproductive age, characterized by symptoms such as menstrual irregularities, hyperandrogenism, and polycystic ovaries. This study aimed to explore the diagnostic experiences of women with PCOS in Saudi Arabia, evaluating the timeline to diagnosis, the adequacy of information provided, and overall patient satisfaction with the healthcare process. Methods: A cross-sectional online survey was conducted with 1182 women diagnosed with PCOS across Saudi Arabia. The survey collected data on sociodemographic characteristics, the timeline from symptom onset to diagnosis, the number of healthcare visits required for diagnosis, and satisfaction with the information and support provided during the diagnostic process. Statistical analyses, including linear regression, were performed to identify factors influencing patient satisfaction. Results: The study found that 43.2% of participants sought medical attention within a year of symptom onset, yet significant delays in diagnosis were common, with 28.6% of women waiting six months or more after seeking medical care. Only 42.7% of women reported receiving adequate information at diagnosis, and satisfaction levels varied across different aspects of care. Key predictors of lower satisfaction included marital status and longer time since diagnosis, while quicker diagnosis and more healthcare visits before diagnosis positively influenced satisfaction. Conclusions: The findings highlight critical gaps in the diagnostic process and patient education for PCOS in Saudi Arabia. The widespread dissatisfaction with the information provided underscores the need for improved patient-centered care, comprehensive education, and standardized diagnostic protocols. Addressing these issues could enhance patient satisfaction and lead to better management of PCOS, both in Saudi Arabia and globally.

Mobile-linked point-of-care diagnostics in community-based healthcare: a scoping review of user experiences

BackgroundWhile mobile-linked point-of-care diagnostics may circumvent geographical and temporal barriers to efficient communication, the use of such technology in community settings will depend on user experience. We conducted a scoping review to systematically map evidence on user experiences of mobile-linked point-of-care diagnostics in community healthcare settings published from the year 2016 up to the year 2022.MethodologyWe conducted a comprehensive search of the following electronic databases: Scopus, Web of Science, and EBSCOhost (Medline, CINAHL, Africa-wide, Academic Search Complete). The inter-reviewer agreement was determined using Cohen’s kappa statistic. Data quality was appraised using the mixed method appraisal tool version 2018, and the results were reported according to the preferred reporting items for systematic reviews and meta-analyses for scoping reviews (PRISMA-ScR).ResultsFollowing the abstract and full article screening, nine articles were found eligible for inclusion in data extraction. Following the quality appraisal, one study scored 72.5%, one study scored 95%, and the remaining seven studies scored 100%. Inter-rater agreement was 83.54% (Kappa statistic = 0.51, p < 0.05). Three themes emerged from the articles: approaches to implementing mobile-linked point-of-care diagnostics, user engagement in community-based healthcare settings, and limited user experiences in mobile-linked point-of-care diagnostics. User experiences are key to the sustainable implementation of mobile-linked point-of-care diagnostics. User experiences have been evaluated in small community healthcare settings. There is limited evidence of research aimed at evaluating the usability of mobile-linked diagnostics at the community level.ConclusionMore studies are needed to assess the user experience of mobile-linked diagnostics in larger communities. This scoping review revealed gaps that need to be addressed to improve user experiences of mobile-linked diagnostics, including language barriers, privacy issues, and clear instructions.

Diagnostic and Feedback Behavior of German Pre-Service Teachers Regarding Argumentative Pupils’ Texts in Geography Education

The study sheds light on the importance of diagnostic and feedback skills regarding argumentative pupils’ texts for (prospective) teachers and the current state of research in this area. The importance of argumentation in geography education is undisputed, as geographical problems often require multi-layered solutions that can be analyzed, assessed and reflected upon by teachers and pupils through argumentation skills. Nevertheless, research findings reveal that both teachers and pupils often have limited argumentation skills, which poses a challenge for both. The present study investigates the attitudes and practices of prospective geography teachers regarding the diagnosis of and feedback on pupils’ argumentative texts. Using a qualitative research design, twenty German pre-service teachers of geography were interviewed about their diagnostic and feedback experiences and asked to analyze and provide feedback on an argumentative pupil text. The results were evaluated using qualitative content analysis. In addition, a theoretical model for diagnosis was developed, which was used to analyze the pre-service teachers’ diagnostic behavior. The criteria used by the pre-service teachers to evaluate the argumentative pupils’ text were examined. The results show that the diagnosis often lacks the exploration of causes and the deduction of consequences, and that only a few subject-specific criteria were taken into account in the text assessment. In addition, the feedback was generally more positive than the diagnosis itself. The results offer insights into the design of diagnostic and feedback processes in geography education and provide impulses for (higher) education teaching and future research.

‘Thrown at twins’ - A qualitative study exploring the lived experience of Australian osteopaths who regularly treat paediatric patients

Backgroundand purpose: Little is known about the training and experience of osteopaths who treat paediatric patients, and graduates report feeling unprepared for this aspect of practice. The purpose of this study was to investigate the lived experience of Australian osteopaths who regularly treat these patients, in order to better understand their individual educational pathways and their management of this population. Materials and methodsOsteopaths who reported regularly treating paediatric patients were recruited through the Osteopathy Research and Innovation Network (ORION) national practice-based network. Semi-structured interviews were completed, transcribed and thematically analysed using the principles of Descriptive Phenomenology to compile qualitative data. ResultsTen osteopaths were interviewed, whose age ranged from 33 to 71 years and with 15–46 years of clinical experience. Proportion of paediatric patients ranged from 20 to 90 % of participants’ caseload according to self-report. Seven themes were identified that reflected the lived experience of treating paediatric patients: 1) Variable pathways to practice, 2) Challenges and rewards, 3) Scope of practice, 4) Team-based care, 5) Importance of entry-level skills, 6) Family-centred care, and 7) Success. ConclusionThe study found a diversity of educational pathways, that paediatric practice was highly rewarding, the scope of practice was based on diagnostic skills and experience, the practitioners had extensive team-based professional networks, practice reflected a family-centred care model, and personal measures of success were multifactorial. These results give insight into this area of practice to guide further research.

Updated solution for diagnosis and management of calcinosis cutis: A retrospective review.

Calcinosis cutis is classified into 5 main types: dystrophic, metastatic, idiopathic, iatrogenic, and calciphylaxis. However, it is occasionally misdiagnosed as a malignancy and its management remains challenging. Therefore, in this study, we report our diagnostic and treatment experiences with patients with calcinosis cutis and suggest strategies for improving patient care. This retrospective study included 7 patients (4 men, 3 women; 44.4 ± 32.0 years old) who visited our hospital between March 2013 and December 2022 and were diagnosed with calcinosis cutis through histopathological procedures. The patients underwent complete excision of the mass without a safety margin. Frozen biopsy was not performed during surgery. No significant intraoperative or postoperative complications were noted after the application of various imaging techniques for diagnosis and follow-up. All patients showed complete recovery. Follow-up showed no recurrence or complications in the 6 patients who completed 1 year of follow-up. Radiological tests such as plain radiography, ultrasonography, computed tomography, and magnetic resonance imaging are important for accurate diagnosis and treatment of calcinosis cutis. This approach can ensure precise assessment of preoperative lesions, leading to safe and less invasive patient treatment, recurrence prevention, and complications of calcinosis cutis.

Towards High-Quality MRI Reconstruction With Anisotropic Diffusion-Assisted Generative Adversarial Networks And Its Multi-Modal Images Extension.

Recently, fast Magnetic Resonance Imaging reconstruction technology has emerged as a promising way to improve the clinical diagnostic experience by significantly reducing scan times. While existing studies have used Generative Adversarial Networks to achieve impressive results in reconstructing MR images, they still suffer from challenges such as blurred zones/boundaries and abnormal spots caused by inevitable noise in the reconstruction process. To this end, we propose a novel deep framework termed Anisotropic Diffusion-Assisted Generative Adversarial Networks, which aims to maximally preserve valid high-frequency information and structural details while minimizing noises in reconstructed images by optimizing a joint loss function in a unified framework. In doing so, it enables more authentic and accurate MR image generation. To specifically handle unforeseeable noises, an Anisotropic Diffused Reconstruction Module is developed and added aside the backbone network as a denoise assistant, which improves the final image quality by minimizing reconstruction losses between targets and iteratively denoised generative outputs with no extra computational complexity during the testing phase. To make the most of valuable MRI data, we extend its application to support multi-modal learning to boost reconstructed image quality by aggregating more valid information from images of diverse modalities. Extensive experiments on public datasets show that the proposed framework can achieve superior performance in polishing up the quality of reconstructed MR images. For example, the proposed method obtains average PSNR and mSSIM values of 35.785dB and 0.9765 on the MRNet dataset, which are at least about 2.9dB and 0.07 higher than those from the baselines.

Cancer Burden in Rwanda: 5 Years Diagnostic Experience at University of Teaching Hospital of Butare, Rwanda

Cancer Burden in Rwanda: 5 Years Diagnostic Experience at University of Teaching Hospital of Butare, Rwanda

Clinical diagnosis and treatment analysis of spontaneous cerebrospinal fluid otorrhoea

Objective:To investigate the clinical features, imaging findings, surgical methods， diagnostic and treatment experience of spontaneous cerebrospinal fluid otorrhoea. Methods:The clinical data of 11 patients with spontaneous cerebrospinal fluid otorrhoea treated surgically at our hospital from May 2018 to May 2023 were retrospectively analyzed. The medical data included medical history, imaging data, leak location, surgical repair method, treatment effect and postoperative follow-up. Results:Among the 11 surgical patients, 4 patients were initially diagnosed with secretory otitis media, 1 was initially diagnosed with purulent otitis media, and 5 patients had a history of meningitis or presented because meningitis as the initial diagnosis. There were 2 cases of cerebrospinal fluid leakage repaired through the ear canal pathway and 9 cases of cerebrospinal fluid leakage repaired through the mastoid pathway. During the operation, leaks were located in the stapes floor plate in 4 cases, sinus meningeal angle in 1 case, posterior cranial fossa combined with middle cranial fossa in 1 case, middle cranial fossa in 4 cases, and labyrinthine segment of the internal auditory canal and facial nerve canal in 1 case. Ten patient was successfully repaired, and another patient developed intracranial hypertension after surgery, with symptoms alleviated by a lateral ventriculoperitoneal shunt. Postoperative follow-up ranged from 6 months to 4 years, and there was no CSF otorrhoea and meningitis recurrence. Conclusion:The incidence of spontaneous cerebrospinal fluid otorrhea is low, the clinical symptoms are atypical, and the rate of delayed diagnosis or missed diagnosis and misdiagnosis is high. Surgery is currently the preferred treatment for spontaneous cerebrospinal fluid otorrhoea, and satisfactory results are usually achieved; During diagnosis and treatment, it is crucial to be vigilant for intracranial hypertension to prevent serious complications and irreversible damage.

Ulnar bone tuberculosis in children: Case report and literature review.

Tuberculosis of the long tubular bones in children's extremities is infrequent, particularly in the ulna. Early diagnosis poses significant challenges. This report presents a case involving a 2-year-old child with tuberculosis of the ulnar bone, accompanied by a comprehensive review of pertinent literature. The purpose of this study is to share diagnostic and therapeutic experiences and provide potentially valuable insights. In this case, the patient exhibited complete destruction and expansion of the ulnar bone, resulting in a forearm size considerably greater than normal. Concerns were raised about the irreversible deformation of the ulna, the potential for a malignant bone tumor, and its impact on forearm function, potentially endangering the patient's life. The diagnosis was confirmed as tuberculosis of the ulnar bone. The patient underwent surgery to remove the affected ulnar tissue and received anti-tuberculosis medication. Subsequent to treatment, the destruction and expansion of the ulnar bone resolved, with the return of normal ulnar morphology and bone structure. Even in the absence of typical symptoms like fever, weight loss, and loss of appetite, extensive destruction and expansion of a long tubular bone should prompt vigilant consideration of bone tuberculosis.

“It’s probably an STI because you’re gay”: a qualitative study of diagnostic error experiences in sexual and gender minority individuals

BackgroundThere is a critical need to identify specific causes of and tailored solutions to diagnostic error in sexual and gender minority (SGM) populations.PurposeTo identify challenges to diagnosis in SGM adults,...