The interactive effects of family violence and peer support on adolescent depressive symptoms: The mediating role of cognitive vulnerabilities.

BACKGROUND: Family violence as an inducing factor of depressive symptoms has been confirmed in previous studies. However, the mechanisms underlying this association are not well understood, particularly in Chinese adolescents. Guided by the social-ecological diathesis-stress model, this three-wave longitudinal study aimed to examine the effects of an individual's cognitive vulnerabilities (rejection-sensitivity anxiety and negative cognitive error) and positive societal contexts (peer support) on the link between family violence and depressive symptoms in Chinese society. METHODS: A total of 859 Chinese adolescents (44.35 % female; Mage = 12.73, SD = 0.43 at baseline) completed self-reporting surveys that assessed variables associated with study and peer-nominated peer support. RESULTS: The results showed that family violence increased the incidence of depressive symptoms in adolescents after two years, resulting in rejection-sensitivity anxiety and negative cognitive error. Surprisingly, higher self-reported peer support, although not peer-nominated support, exacerbated rather than mitigated this indirect effect, supporting the reverse stress-buffering model and extending the healthy context paradox. LIMITATIONS: Most of the measures were based on participants' self-reports. CONCLUSIONS: These results emphasize the importance of individual cognition and societal contexts in adolescents with traumatic experiences and provide empirical evidence for the intervention and clinical treatment of depressive symptoms.

A Case of Acute Cerebral Infarction With Chief Complaints of Abdominal Pain and Bloody Diarrhoea: The Power of a Patient-Centered Inclusive Diagnostic Team.

We present the case of a 66-year-old man who presented with acute abdominal pain and bloody stool as his chief complaints and was finally diagnosed with ischemic colitis from colon cancer and acute cerebral infarction. Although several cognitive biases led to physicians missing the presence of acute stroke, a diagnostic team consisting of the patient, his family members, a ward nurse, and the physician worked effectively to reach the correct diagnosis soon after admission. A physician is not the only person involved in the diagnostic process. A patient-centered diagnostic team is necessary.

The Two-Factor Structure of the Parent Cognitive Error Questionnaire: A Measure of Parental Cognitive Errors in Relation to Child Problems.

This study evaluated the factor structure of the scores from a parent rating scale, the Parent Cognitive Error Questionnaire (PCEQ), which measures parents' attributions of child misbehavior and problems. The factor structure of the scores of the PCEQ was examined among 199 children (ages 7-11; mean age: 8.64 years, 58.30% boys, 53.80% White) with Attention-Deficit/Hyperactivity Disorder (ADHD), Predominantly Inattentive Presentation. Reliability and validity of the factors were assessed. Two factors emerged from this sample: (1) parent-specific cognitive errors (self-blame for child problems), and (2) child-specific cognitive errors (child-blame for child problems). Both were related to parent-rated parental depression, parenting satisfaction, parenting self-efficacy, and child ADHD and Oppositional Defiant Disorder (ODD) symptoms. After adjusting for child-specific cognitive errors, parent-specific errors were related to parent-rated parent depressive symptoms, and after adjustment for parent-specific cognitive errors, child-specific cognitive errors were related to parent-rated child ADHD and ODD symptoms. A two-factor structure for the PCEQ scores from this sample was found with evidence of reliability and validity of factors, showing promise for measuring sources of parental attributions regarding child problems.

Implementation of a peer-learning program in an academic abdominal radiology practice and comparison with a traditional peer-review system.

OBJECTIVE: The purpose of this study was to transition from a traditional score-based peer-review system to an education-oriented peer-learning program in our academic abdominal radiology practice. MATERIAL AND METHODS: This retrospective study compared our experience with a score-based peer-review model used prior to September 2020 and a peer-learning model implemented and used exclusively beginning in October of 2020. In peer review, a web-based peer-review tool randomly generated a list of cases, which were blindly reviewed in consensus. Comparison of the consensus interpretation with the original report was used to categorize each reviewed case and to calculate the rates of significant and minor discrepancies. Only cases with a discrepancy were considered to represent a learning opportunity. In peer learning, faculty prospectively identified and submitted cases for review in several categories, including case interpretations with a discrepancy from subsequent opinion or result, interpretations considered to represent a great call, and interesting or challenging cases meriting further discussion. The peer-learning coordinator showed each case to the group in a manner which blinded the group to both submitting and interpreting radiologist and invited discussion during various stages of the case. RESULTS: During peer review, a total of 172 cases were reviewed over 16 sessions occurring between April 2016 and September 2020. Only 3 cases (1.8%) yielded significant discrepancies whereas 13 (7.6%) yielded minor discrepancies, representing a total of 16 learning opportunities (3.6 per year). In peer learning, 64 cases were submitted and 52 reviewed over 7 sessions occurring between October 2020 and October 2021. 29 (56%) were submitted as an interesting or challenging case meriting further discussion, 18 (35%) were submitted for a discrepancy, and 5 (10%) were submitted for a great call. All 52 presented cases represented learning opportunities (48 per year). CONCLUSION: An education-focused peer-learning program provided a platform for continuous quality improvement and yielded substantially more learning opportunities compared to score-based peer review.

Using Probability Estimates to Evaluate a Patient With Weakness.

In this case report, we review how probabilistic reasoning can be implemented in retrospect to refine the diagnostic process. A 67-year-old female with a history of polymyalgia rheumatica (PMR) and a recent dental procedure presented with weakness, falls, and chills ongoing for two weeks. She reported pain in her shoulders and lower back. On presentation, she was febrile, and labs were notable for leukocytosis with neutrophilic predominance and an elevated erythrocyte sedimentation rate (ESR). Chest radiograph revealed a left lower lung opacity, which was not seen on a repeat film. She was treated with antibiotics for community-acquired pneumonia and steroids for an exacerbation of PMR. After eight days of hospitalization, she was transferred to a subacute rehabilitation facility. A month later, she was readmitted with worsening lower back pain and right lower extremity weakness. Imaging revealed discitis and osteomyelitis at L1-L2. A spinal epidural abscess was present, leading to severe compression of the cauda equina nerve roots. Aspirate was positive for group B streptococcus. With antibiotic treatment alone, she recovered with resolution of her weakness. In reviewing the literature, it becomes evident where improvements could have been made in the diagnostic process. Fever, leukocytosis, and neurological weakness are not commonly associated with PMR exacerbations. Lack of cough or shortness of breath, a persistently elevated erythrocyte sedimentation rate and C-reactive protein despite antibiotic treatment, and a repeat chest radiograph without an opacity suggest an alternative diagnosis to pneumonia. Persistent back pain with an insidious onset is a feature of untreated spinal epidural abscess. Steroid use and dental procedures are possible risk factors for spinal epidural abscess. By shedding light on how probabilities should be estimated, we hope to encourage probabilistic thinking to improve diagnostic accuracy. As with the best political forecasters, making precise probability estimates and frequently updating them may improve diagnostic accuracy for clinicians.

A Proposed Systematic Approach to the Cognitive Autopsy for Internists.

The cognitive autopsy has been a proposed tool for physicians to evaluate misdiagnosis. However, prior iterations of this tool are cumbersome, not designed for the internist, and may cause users to isolate cognition from systems issues. A 10-point tool was created to be utilized individually or by a group when evaluating an adverse event. This could be used with Croskerry's 2020 "cognitive autopsy" or as a standalone tool for internists. We trialed this tool in large group formats and with individual residents; all reported an improved appreciation of the factors leading to poor outcomes and medical errors.

Intensive Care Unit Decision-Making in Uncertain and Stressful Conditions Part 2: Cognitive Errors, Debiasing Strategies, and Enhancing Critical Thinking.

Diagnostic errors are considered a blind spot of health care delivery and occur in up to 15% of patient cases. Cognitive failures are a leading cause of diagnostic error and often occur as a result of overreliance on system 1 thinking. This narrative review describes why diagnostic errors occur by shedding additional light on systems 1 and 2 forms of thinking, reviews literature on debiasing strategies in medicine, and provides a framework for teaching critical thinking in the intensive care unit as a strategy to promote learner development and minimize cognitive failures.

Investigating cognitive factors and diagnostic error in a presentation of complicated multisystem disease.

OBJECTIVES: To use a case review approach for investigating the types of cognitive error identifiable following a complicated patient admission with a multisystem disorder in an acute care setting where diagnosis was difficult and delayed. METHODS: A case notes review was undertaken to explore the cognitive factors associated with diagnostic error in the case of an 18-year-old male presenting acutely unwell with myalgia, anorexia and vomiting. Each clinical interaction was analysed and identified cognitive factors were categorised using a framework developed by Graber et al. RESULTS: Cognitive factors resulting in diagnostic errors most frequently occurred within the first five days of hospital admission. The most common were premature closure; failure to order or follow up an appropriate test; over-reliance on someone else's findings or opinion; over-estimating or underestimating usefulness or salience of a finding, and; ineffective, incomplete or faulty history and physical examination. Cognitive factors were particularly frequent around transitions of care and patient transfers from one clinical area to another. The presence of senior staff did not necessarily mitigate against diagnostic error from cognitive factors demonstrated by junior staff or diagnostic errors made out-of-hours. CONCLUSIONS: Cognitive factors are a significant cause of diagnostic error within the first five days after admission, especially around transitions of care between different clinical settings and providers. Medical education interventions need to ensure clinical reasoning training supports individuals and teams to develop effective strategies for mitigating cognitive factors when faced with uncertainty over complex patients presenting with non-specific symptoms in order to reduce diagnostic error.

A Resident Morbidity and Mortality Conference Curriculum to Teach Identification of Cognitive Biases, Errors, and Debiasing Strategies.

Introduction: The morbidity and mortality (M&M) conference has long been a part of the education of residents of all specialties in the United States, yet its structure is variable across training programs. Recent literature has described the use of M&M as a forum for education in quality improvement methodology; however, a structure focusing on education in cognitive biases and errors has not been previously described in MedEdPORTAL. Methods: This structured M&M conference series called upon resident presenters and peers in the audience to examine cognitive biases and errors involved in specific patient cases. Associated materials included preparatory guidelines provided to faculty advisors and resident presenters, a presentation template used during the introductory session, and a handout used during the discussion portions of presentations. Results: During the 2019-2020 academic year, a total of 24 PGY 2 pediatrics residents presented M&M cases. They identified a mean of 3.7 (SD = 1.9) cognitive biases and/or errors per case and a mean of 1.7 (SD = 0.7) debiasing strategies per case. Peers in the audience were also successful in identifying potential biases and errors at play during presentations. Discussion: We found that through this M&M conference structure, residents were able to demonstrate the ability to identify cognitive errors and biases both within themselves and in peers. This provided an effective forum for the identification and discussion of debiasing strategies, even when the series was forced to transition to a virtual format due to the COVID-19 pandemic.

Decision-making in dermatologic surgery.

Good clinical decision-making is important in dermatologic surgery. Experience and knowledge help considerably, but take time to acquire. However, how the clinician thinks is also a significant contributory factor. How we think is influenced by many factors, including our beliefs, prejudices, confidence and variables like how we are feeling at that moment physically and emotionally. Thought process can be either fast and subconscious or slow and analytical. Fast thinking contributes to the majority of decision-making and is especially prone to a range of biases which may contribute to suboptimal clinical outcomes. We wish to highlight and illustrate common biases in thinking encountered by the dermatologic surgeon.

A diagnostic time-out to improve differential diagnosis in pediatric abdominal pain.

BACKGROUND: Pediatric abdominal pain is challenging to diagnose and often results in unscheduled return visits to the emergency department. External pressures and diagnostic momentum can impair physicians from thoughtful reflection on the differential diagnosis (DDx). We implemented a diagnostic time-out intervention and created a scoring tool to improve the quality and documentation rates of DDx. The specific aim of this quality improvement (QI) project was to increase the frequency of resident and attending physician documentation of DDx in pediatric patients admitted with abdominal pain by 25% over 6 months. METHODS: We reviewed a total of 165 patients admitted to the general pediatrics service at one institution. Sixty-four history and physical (H&P) notes were reviewed during the baseline period, July-December 2017; 101 charts were reviewed post-intervention, January-June 2018. Medical teams were tasked to perform a diagnostic time-out on all patients during the study period. Metrics tracked monthly included percentage of H&Ps with a 'complete' DDx and quality scores (Qs) using our Differential Diagnosis Scoring Rubric. RESULTS: At baseline, 43 (67%) resident notes and 49 (77%) attending notes documented a 'complete' DDx. Post-intervention, 59 (58%) resident notes and 69 (68%) attending notes met this criteria. Mean Qs, pre- to post-intervention, for resident-documented differential diagnoses increased slightly (2.41-2.47, p = 0.73), but attending-documented DDx did not improve (2.85-2.82, p = 0.88). CONCLUSIONS: We demonstrated a marginal improvement in the quality of resident-documented DDx. Expansion of diagnoses considered within a DDx may contribute to higher diagnostic accuracy.

The variability in how physicians think: a casebased diagnostic simulation exercise.

OBJECTIVES: Little is known about how physician diagnostic thinking unfolds over time when evaluating patients. We designed a case-based simulation to understand how physicians reason, create differential diagnoses, and employ strategies to achieve a correct diagnosis. METHODS: Between June 2017 and August 2018, hospital medicine physicians at two academic medical centers were presented a standardized case of a patient presenting with chest pain who was ultimately diagnosed with herpes zoster using an interview format. Case information was presented in predetermined aliquots where participants were then asked to think-aloud, describing their thoughts and differential diagnoses given the data available. At the conclusion of the interview, participants were asked questions about their diagnostic process. Interviews were recorded, transcribed, and content analysis was conducted to identify key themes related to the diagnostic thinking process. RESULTS: Sixteen hospital medicine physicians (nine men, seven women) participated in interviews and four obtained the correct final diagnosis (one man, three women). Participants had an average of nine years of experience. Overall, substantial heterogeneity in both the differential diagnoses and clinical reasoning among participants was observed. Those achieving the correct diagnosis utilized systems-based or anatomic approaches when forming their initial differential diagnoses, rather than focusing on life-threatening diagnoses alone. Evidence of cognitive bias was common; those with the correct diagnosis more often applied debiasing strategies than those with the incorrect final diagnosis. CONCLUSIONS: Heterogeneity in diagnostic evaluation appears to be common and may indicate faulty data processing. Structured approaches and debiasing strategies appear helpful in promoting diagnostic accuracy.

Classification and quantification of human error in air traffic control: a case study in an airport control tower.

This study aims at exploring human error in an airport control tower through the technique for the retrospective and predictive analysis of cognitive error (TRACEr) and the controller action reliability assessment (CARA) method. Despite the presence of automated safety nets, air traffic control (ATC) is heavily dependent upon the capabilities of humans. A number of ATC-relevant accidents were characterized by human errors. The data related to error dimensions were collected through interview and direct observation. Then, human error probability and error-producing conditions were evaluated by the CARA method. The results showed that selection and quality, memory, distraction/preoccupation, and traffic and airspace have the highest percentage error rates. Furthermore, the results indicated that the highest probability of error was associated with emergency situation management. This study is the first research to classify and quantify human errors using the TRACEr and the CARA method to evaluate controller error in ATC.

Visual perception, cognition, and error in dermatologic diagnosis: Diagnosis and error.

Diagnostic error in dermatology is a large practice gap that has received little attention. Diagnosis in dermatology relies heavily on a heuristic approach that is responsible for our perception of clinical findings. To improve our diagnostic accuracy, a better understanding of the strengths and limitations of heuristics (cognitive shortcuts) used in dermatology is essential. Numerous methods have been proposed to improve diagnostic accuracy, including brain training, reducing cognitive load, and getting feedback and second opinions. Becoming comfortable with the uncertainty intrinsic to medicine is essential. Ultimately, the practice of metacognition, or thinking about how we think, can offer corrective insights to improve accuracy in diagnosis.

Mortality and morbidity rounds (MMR) in pathology: relative contribution of cognitive bias vs. systems failures to diagnostic error.

Background Heuristics and cognitive biases are thought to play an important role in diagnostic medical error. How to systematically determine and capture these kinds of errors remains unclear. Morbidity and mortality rounds (MMRs) are generally focused on reducing medical error by identifying and correcting systems failures. However, they may also provide an educational platform for recognizing and raising awareness on cognitive errors. Methods A total of 49 MMR cases spanning the period 2008-2015 in our pathology department were examined for the presence of cognitive errors and/or systems failures by eight study participant raters who were trained on a subset of 16 of these MMR cases (excluded from the main study analysis) to identify such errors. The Delphi method was used to obtain group consensus on error classification on the remaining 33 study cases. Cases with <75% inter-rater agreement were subjected to subsequent rounds of Delphi analysis. Inter-rater agreement at each round was determined by Fleiss' kappa values. Results Thirty-six percent of the cases presented at our pathology MMRs over an 8-year period were found to contain errors likely due to cognitive bias. Conclusions These data suggest that the errors identified in our pathology MMRs represent not only systems failures but may also be composed of a significant proportion of cognitive errors. Teaching trainees and health professionals to correctly identify different types of cognitive errors may present an opportunity for quality improvement interventions in the interests of patient safety.

The Cognitive Distortions Questionnaire (CD-Quest): Validation in a Sample of Adults with Social Anxiety Disorder.

Cognitive distortions are thought to be central to the development and maintenance of anxiety disorders and are a widely acknowledged treatment target in cognitive-behavioral interventions. However, little research has focused on the measurement of cognitive distortions. The Cognitive Distortions Questionnaire (CD-Quest; de Oliveira, 2015), a brief, 15-item questionnaire, assesses the frequency and intensity of cognitive distortions. The CD-Quest has been shown to have sound psychometric properties in American, Australian, and Brazilian undergraduate samples and one Turkish-speaking outpatient clinical sample. The current study aimed to provide the first evaluation of the psychometric properties of the English version of the CD-Quest in a clinical sample and the first evaluation of any version of the CD-Quest in a sample of adults diagnosed with social anxiety disorder (SAD). In a sample of treatment-seeking adults with SAD, the CD-Quest demonstrated good convergent validity, discriminant validity, known-groups validity, and treatment sensitivity. It also showed good internal consistency, and both confirmatory and exploratory factor analyses supported the previously reported unitary factor structure. Findings extend prior research indicating the reliability and validity of the CD-Quest.