Characterization of the supervision of clinical reasoning by nurse anesthetists with student nurse anesthetists: a qualitative study

Introduction

Errors in reasoning are the main causes of poor decision-making in clinical practice. To remedy this, many studies highlight the importance of supervising clinical reasoning during medical internships. Although decision-making is an ongoing process at all key moments of the perioperative period, there are no studies on the supervision of clinical reasoning during student nurse anesthetist internships. The objective of this study was to identify the characteristics of the supervision of clinical reasoning by anesthesia professionals with student nurse anesthetists.

Methodology

A multicenter qualitative study was carried out using observations and individual interviews with five nurse anesthetists and five students.

Results

Three themes are identified : the characteristics of the learner’s and supervisor’s posture ; the teaching methods used ; and the specificities of clinical reasoning.

Analysis

The nurse anesthetists question clinical reasoning only when they detect difficulties in the student. However, no traceability is carried out. Students spontaneously verbalize their clinical reasoning when unexpected events occur.

Discussion

The results will be used as a basis for a new tool for tracing learning during internships.

Psychometric Evaluation of the Nurse Clinical Reasoning Scale: A Validation Study Among Italian Nurses

Background and Purpose: Clinical reasoning for nurses is considered a valuable component of clinical nursing competencies, but there are few tools to ascertain this. This study tested the Italian Nurses Clinical Reasoning Scale (I-NCRS) psychometric properties based on Levett-Jones' theoretical clinical reasoning model. Methods: Content, face, and construct characteristics were ascertained for their validity. The study had a two-phase design: (a) content and face validity and (b) construct validity. Results: Three factors emerged from the factorial analysis of our reference sample: nursing problems of health, nursing information of health, and nursing assessment of health. Conclusions: The scale represents a valuable tool for the self-assessment of the clinical reasoning skills of nurses. I-NCRS showed evidence of validity and reliability, being also useful for assessing clinical reasoning for educational and research purposes among Italian nurses.

Teaching and Learning Clinical Reasoning in Nursing Education: A Student Training Course

Clinical reasoning is an essential component of nursing. It has emerged as a concept that integrates the core competencies of quality and safety education for nurses. In cooperation with five European partners, Instituto Politécnico de Setúbal (IPS) realized the "Clinical Reasoning in Nursing and Midwifery Education and Practice" project as part of the Erasmus+ project. As a partner, our team designed a multiplier event-the student training course. The aim of this report is to describe the construction and development of this clinical reasoning training course for nursing students. We outline the pedagogical approach of an undergraduate training course on clinical reasoning in 2023, which we separated into four stages: (i) welcoming, (ii) knowledge exploration, (iii) pedagogical learning, and (iv) sharing experience. This paper presents the learning outcomes of the collaborative reflection on and integration of the clinical reasoning concept among nursing students. This educational experience fostered reflection and discussion within the teaching team of the nursing department regarding the concept, models, and teaching/learning methods for clinical reasoning, with the explicit inclusion of clinical reasoning content in the nursing curriculum. We highlight the importance of implementing long-term pedagogical strategies in nursing education.

Critical thinking pedagogical practices in medical education: a systematic review

Introduction

The development of critical thinking (CT) has been a universal goal in higher education. A systematic review of the literature was conducted to evaluate the effectiveness of currently used pedagogical practices to foster CT/ clinical reasoning (CR)/ clinical judgment (CJ) skills and/or dispositions in undergraduate medical students.

Methods

PubMed, Web of Science and Scopus databases were searched from January 2010 to April 2021 with a predefined Boolean expression.

Results

Of the 3221 articles originally identified, 33 articles were included by using PICOS methodology. From these, 21 (64%) reported CR pedagogical practices and 12 (36%) CT pedagogical practices.

Discussion

Overall, pedagogical practices such as cognitive/visual representation, simulation, literature exposure, test-enhancing and team-based learning, clinical case discussion, error-based learning, game-based learning seem to enhance CT/CR skills and/or dispositions. Further research is required to identify the optimal timing, duration and modality of pedagogical interventions for effectively foster CT/CR in medical education.

How critical is it? Integrating critical care into the pharmacy didactic curriculum

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

"A Certainty for you Does Not Mean That it is a Certainty for Science": A Phenomenological Analysis of Experiences of Uncertainty in Clinical Reasoning of Nurses in the Postanesthesia Care Unit

PURPOSE

To explore the experiences of uncertainty in the clinical reasoning of nurses in the postanesthesia care unit (PACU).

DESIGN

A phenomenological descriptive design, following Colaizzi's analysis.

METHODS

Semistructured interviews were conducted with 14 nurses from a PACU on their experience of uncertainty in clinical reasoning. The interviews were digitally audio-recorded and transcribed verbatim. Two researchers conducted data analysis independently and followed seven phases: (re)reading the transcripts, extracting significant statements, formulating meanings from significant statements, aggregating formulated meanings into themes, developing a description of the phenomenon's essential structure, generating of the fundamental structure of the phenomenon, validating of the findings through participant feedback. The process employed MAXQDA analytics Pro 2022 software. Consolidated Criteria for Reporting A Qualitative Research checklist was used for reporting.

FINDINGS

From uncertainty experiences in nurses' clinical reasoning, 10 themes emerged: ambiguity and decision latitude, communication, work ethic, difficulty interpreting and predicting outcomes, cognitive performance impairment, incivility, core competence vagueness of postanesthesia nurses, high-tech care, (in)security and risk, and occupational stress.

CONCLUSIONS

The experiences of uncertainty in clinical reasoning of nurses in postanesthesia care units are highly focused on patient safety. Exploring these experiences has made uncertainty more tangible and explicit, which will enable nurses in postanesthesia care units to prepare for adaptive responses to deal with uncertainty when it occurs in clinical practice.

Around the World in 60 Minutes: How a Virtual Morning Report has Created an International Community for Clinical Reasoning and Medical Education

Problem: Traditionally, clinical reasoning is developed with purposeful exposure to clinical problems through case-based learning and clinical reasoning conferences that harvest a collaborative exchange of information in real-life settings. While virtual platforms have greatly expanded access to remote clinical learning, case-based clinical reasoning opportunities are scarce in low and middle income countries. Intervention: The Clinical Problem Solvers (CPSolvers), a nonprofit organization focused on clinical reasoning education, launched Virtual Morning Report (VMR) during the COVID-19 pandemic. VMR is an open-access, case-based clinical reasoning virtual conference on the Zoom platform modeled after an academic morning report format available to participants worldwide. The authors conducted 17 semi-structured interviews with CPSolvers' VMR participants from 10 different countries to explore the experiences of the international participants of VMR. Context: The CPSolvers was founded by US physicians and has now expanded to include international members throughout all levels of the organization. VMR is open-access to all learners. Preliminary survey data collected from VMR sessions revealed 35% of the attendees were from non-English speaking countries and 53% from non US countries. Impact: Analysis generated four themes that captured the experiences of international participants of VMR: 1) Improving clinical reasoning skills where participants had little to no access to this education or content; 2) Creating a global community from a diverse, safe, and welcoming environment made possible by the virtual platform; 3) Allowing learners to become agents of change by providing tools and skills that are directly applicable in the setting in which they practice medicine; 4) Establishing a global platform, with low barriers to entry and open-access to expertise and quality teaching and content. Study participants agreed with the themes, supporting trustworthiness. Lessons Learned: Findings suggest VMR functions as and has grown into a global community of practice for clinical reasoning. The authors propose strategies and guiding principles based on the identified themes for educators to consider when building effective global learning communities. In an interdependent world where the virtual space eliminates the physical boundaries that silo educational opportunities, emphasis on thoughtful implementation of learning communities in a global context has the potential to reduce medical education disparities in the clinical reasoning space and beyond.

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

BACKGROUND

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

OBJECTIVE

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

DESIGN

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

PARTICIPANTS

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

APPROACH

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

RESULTS

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

CONCLUSIONS

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

Test for clinical reasoning evaluation in Speech-Language Pathology: content validity

PURPOSE

To validate the content of the Speech-Language Pathology Concordance Test called FonoTCS.

METHODS

This is a content validation study of the instrument. Five speech-language pathologists, all with doctoral degrees and teaching experience, averaging 24.8 years of professional practice, participated in the development of FonoTCS and reached a consensus during the process. Thirty questions and 120 items were created, covering seven areas of speech-language pathology expertise across three domains. For content validation, FonoTCS was electronically sent to 15 evaluators to respond to a questionnaire with five questions, rated on a five-point scale, regarding the criteria of clarity, ethics, and relevance of the questions. The Corrected Content Validity Coefficient was calculated for all statements to analyze the responses. Questions with agreement percentages equal to or less than 80% were revised.

RESULTS

Thirteen evaluators, all female, with an average age of 39.07 years, including eight with master's degrees and five with doctoral degrees, and an average clinical practice experience of 15.38 years, participated in the analysis. The average Corrected Content Validity Coefficient values for the clarity criterion were 0.93 and 0.95, for the relevance criterion 0.98 and 0.92, and for the ethics criterion 0.99. Two questions received scores of 0.78 and 0.80, both related to the audiology area in the assessment/diagnosis domain, specifically question 2 regarding the relevance criterion. These questions were reviewed and restructured by the judges.

CONCLUSION

FonoTCS is a valid instrument from a content perspective.

Programmatic Assessment of Clinical Reasoning: New Opportunities to Meet an Ongoing Challenge

Issue: Clinical reasoning is essential to physicians' competence, yet assessment of clinical reasoning remains a significant challenge. Clinical reasoning is a complex, evolving, non-linear, context-driven, and content-specific construct which arguably cannot be assessed at one point in time or with a single method. This has posed challenges for educators for many decades, despite significant development of individual assessment methods. Evidence: Programmatic assessment is a systematic assessment approach that is gaining momentum across health professions education. Programmatic assessment, and in particular assessment for learning, is well-suited to address the challenges with clinical reasoning assessment. Several key principles of programmatic assessment are particularly well-aligned with developing a system to assess clinical reasoning: longitudinality, triangulation, use of a mix of assessment methods, proportionality, implementation of intermediate evaluations/reviews with faculty coaches, use of assessment for feedback, and increase in learners' agency. Repeated exposure and measurement are critical to develop a clinical reasoning assessment narrative, thus the assessment approach should optimally be longitudinal, providing multiple opportunities for growth and development. Triangulation provides a lens to assess the multidimensionality and contextuality of clinical reasoning and that of its different, yet related components, using a mix of different assessment methods. Proportionality ensures the richness of information on which to draw conclusions is commensurate with the stakes of the decision. Coaching facilitates the development of a feedback culture and allows to assess growth over time, while enhancing learners' agency. Implications: A programmatic assessment model of clinical reasoning that is developmentally oriented, optimizes learning though feedback and coaching, uses multiple assessment methods, and provides opportunity for meaningful triangulation of data can help address some of the challenges of clinical reasoning assessment.

Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record

OBJECTIVE

Obtain clinicians' perspectives on early warning scores (EWS) use within context of clinical cases.

MATERIAL AND METHODS

We developed cases mimicking sepsis situations. De-identified data, synthesized physician notes, and EWS representing deterioration risk were displayed in a simulated EHR for analysis. Twelve clinicians participated in semi-structured interviews to ascertain perspectives across four domains: (1) Familiarity with and understanding of artificial intelligence (AI), prediction models and risk scores; (2) Clinical reasoning processes; (3) Impression and response to EWS; and (4) Interface design. Transcripts were coded and analyzed using content and thematic analysis.

RESULTS

Analysis revealed clinicians have experience but limited AI and prediction/risk modeling understanding. Case assessments were primarily based on clinical data. EWS went unmentioned during initial case analysis; although when prompted to comment on it, they discussed it in subsequent cases. Clinicians were unsure how to interpret or apply the EWS, and desired evidence on its derivation and validation. Design recommendations centered around EWS display in multi-patient lists for triage, and EWS trends within the patient record. Themes included a "Trust but Verify" approach to AI and early warning information, dichotomy that EWS is helpful for triage yet has disproportional signal-to-high noise ratio, and action driven by clinical judgment, not the EWS.

CONCLUSIONS

Clinicians were unsure of how to apply EWS, acted on clinical data, desired score composition and validation information, and felt EWS was most useful when embedded in multi-patient views. Systems providing interactive visualization may facilitate EWS transparency and increase confidence in AI-generated information.

Lessons in clinical reasoning - pitfalls, myths, and pearls: a woman brought to a halt

OBJECTIVES

Limitations in human cognition commonly result in clinical reasoning failures that can lead to diagnostic errors. A metacognitive structured reflection on what clinical findings fit and/or do not fit with a diagnosis, as well as how discordance of data can help advance the reasoning process, may reduce such errors.

CASE PRESENTATION

A 60-year-old woman with Hashimoto thyroiditis, diabetes, and generalized anxiety disorder presented with diffuse arthralgias and myalgias. She had been evaluated by physicians of various specialties and undergone multiple modalities of imaging, as well as a electromyography/nerve conduction study (EMG/NCS), leading to diagnoses of fibromyalgia, osteoarthritis, and lumbosacral plexopathy. Despite treatment for these conditions, she experienced persistent functional decline. The only definitive alleviation of her symptoms identified was in the few days following intra-articular steroid injections for osteoarthritis. On presentation to our institution, she appeared fit with a normal BMI. She was a long-time athlete and had been training consistently until her symptoms began. Prediabetes had been diagnosed the year prior and her A1c progressed despite lifestyle modifications and 10 pounds of intentional weight loss. She reported fatigue, intermittent nausea without emesis, and reduced appetite. Examination revealed intact strength and range of motion in both the shoulders and hips, though testing elicited pain. She had symmetric hyperreflexia as well as a slowed, rigid gait. Autoantibody testing revealed strongly positive serum GAD-65 antibodies which were confirmed in the CSF. A diagnosis of stiff-person syndrome was made. She had an incomplete response to first-line therapy with high-dose benzodiazepines. IVIg was initiated with excellent response and symptom resolution.

CONCLUSIONS

Through integrated commentary on the diagnostic reasoning process from clinical reasoning experts, this case underscores the importance of frequent assessment of fit along with explicit explanation of dissonant features in order to avoid misdiagnosis and halt diagnostic inertia. A fishbone diagram is provided to visually demonstrate the major factors that contributed to the diagnostic error. The case discussant demonstrates the power of iterative reasoning, case progression without commitment to a single diagnosis, and the dangers of both explicit and implicit bias. Finally, this case provides clinical teaching points in addition to a pitfall, myth, and pearl specific to overcoming diagnostic inertia.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Physiologic measurements of cognitive load in clinical reasoning

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Relationship of high-fidelity simulation experience, clinical reasoning, and clinical competence of new nurses: A cross-sectional study

AIM

This study aimed to determine which high-fidelity simulation (HFS) experiences were associated with clinical reasoning and clinical competence among new nurses.

BACKGROUND

HFS has been actively used in nursing education. It is necessary to verify the effects of HFS transfer to the clinical environment.

DESIGN

A cross-sectional study reported following STROBE criteria.

METHODS

Data were collected on new nurses (n = 224) who experienced HFS in their fourth-year undergraduate courses. The number of HFSs, the inclusion of simulation elements, the importance of elements to learning, clinical reasoning, and clinical competence were measured. Hierarchical regression models examined factors associated with clinical reasoning and clinical competence.

RESULTS

Feedback was the most sufficiently included element of the HFS learning, and participants perceived it as the most important. A significant factor associated with clinical competence was clinical reasoning, and HFS design indirectly affected clinical competence through clinical reasoning.

CONCLUSIONS

HFS learning is one of the best ways to improve clinical reasoning. Improving students' clinical reasoning should be an important goal of HFS learning in undergraduate courses to prepare students to be clinically competent nurses.

IMPLICATIONS FOR NURSING

The ultimate goal of nursing education is to prepare nursing students to be competent nurses. Validating the outcomes of nursing education in the clinical environment setting is an essential task to improve clinical practice.

IMPLICATIONS FOR NURSING POLICY

Nurse educators and leaders can increase nurses' clinical competence by emphasizing education to foster nurses' clinical reasoning in nursing education policies.

Evaluating Clinical Reasoning in Undergraduate Medical Education: The Value of a Virtual Oral Assessment

BACKGROUND

Oral assessments are essential components of board certification in numerous fields, as they provide insight into problem-solving capacity and clinical reasoning. The development of clinical reasoning often begins in undergraduate medical education and remains a challenge to assess.

OBJECTIVE

We developed a pilot oral assessment to evaluate medical student oral presentations and systematically assess clinical reasoning. This was incorporated into a previously existing cumulative assessment at the conclusion of the third year of medical school, with the intent to demonstrate feasibility and future reliability of this exam format.

METHODS

This pilot oral assessment was developed using content taught during third year clerkships. A modified Assessment of Reasoning Tool (ART) was used as the evaluation metric. It was conducted virtually to include faculty members from multiple disciplines and accommodate schedules and space limitations.

RESULTS

A total of 152 third year medical students completed the exam, with a total of 15 faculty examiners. 89% of medical students scored as complete in hypothesis directed history, 93% in problem representation, 86% in prioritized differential diagnoses, and 67% in effectively directing management. Most examiners felt an oral assessment is effective to determine a medical student's clinical reasoning ability.

CONCLUSIONS

Virtual oral assessments of clinical reasoning can be incorporated in undergraduate medical education to identify students struggling with components of clinical reasoning, while also allowing maximum flexibility for the clinician educator workforce as examiners. Longitudinal use of these exams would be valuable to track the development of clinical reasoning across the medical school curriculum.

Test-Only Learning via Virtual Patients to Improve Surgical Illness Scripts of Preclinical Medical Students as a Preparation for Clinical Clerkships: An Experimental Study

OBJECTIVE

The aim was to determine whether preclinical medical students can develop their illness scripts to a level comparable to that of clerkship students through test-only learning using repeated formative online testlets.

METHODS

In this experimental study, participants were 52 preclinical and 53 clinical medical students. The intervention group consisted of preclinical medical students, and the control group consisted of clinical medical students. The intervention group responded to online testlets containing feedback, an innovative formative assessment method called ContExtended Questions, on general surgery for 8 days by spending no more than 30 minutes each day. The control group completed the general surgery clerkship. The performances were assessed using 20 Key-Feature Question items. The intervention group was assessed twice: immediately after the intervention (the immediate test), and again 1 month later (the delayed test). The control group was assessed once, immediately after the clerkship. All performance tests were identical.

RESULTS

The preclinical students had a significantly higher mean score on the immediate test (83.1 ± 9.6) compared to the clinical students (75.4 ± 8.9), P < .001. The effect size (Cohen's d) was .83. However, the mean score in the delayed test (76.9 ± 13.6) was not significantly different from clinical students' mean score (75.4 ± 8.9), P > .05.

CONCLUSIONS

Test-only learning as a spaced repetition of online formative testlets is effective in preparing preclinical medical students to the clinical clerkship. Through using this approach in preclinical period, they can prepare themselves for the clinical environment to optimize the benefits derived from clerkships.

Perceived opportunities of clinical reasoning learning in postgraduate psychiatry training: Trainees' and faculty's perspectives

BACKGROUND

Learning clinical reasoning is less effective in isolation of clinical environments because contextual factors are a significant component in the clinical reasoning process. This study investigated the differences in opinions between novice and expert clinicians on learning clinical reasoning in the workplace.

MATERIALS AND METHODS

The author used a cross-sectional online survey design to investigate the perceived learning of six clinical reasoning skills in 13 learning opportunities. Questionnaires were emailed to 41 postgraduate psychiatry trainee doctors and 37 faculty members. Data were analyzed descriptively. The Chi-square test was used to compare the responses of the two groups. Statistical significance was set at P < 0.05.

RESULTS

The combined response rate was 73.07%. The two groups perceived the learning of advanced clinical reasoning skills to be lower than that of basic skills. There were significant differences in the perceived learning of basic clinical reasoning skills in self-study/exam preparations (P = 0.032), general hospital grand rounds (P = 0.049), and clinical rounds (P = 0.024 for consultant-led rounds and P = 0.038 for senior peer-led rounds). There were also significant differences in the perceived learning of advanced clinical reasoning skills among peer-led tutorials (P = 0.04), journal clubs (P = 0.006), morning reports (P = 0.002), and on-call duties (P = 0.031).

CONCLUSIONS

The trainees showed a significant preference for structured learning environments rather than clinical environments, especially for advanced clinical reasoning skills. Trainees likely struggled with cognitive overload in clinical environments. Local postgraduate psychiatry programs will likely benefit from implementing multiple educational interventions that facilitate teaching and learning clinical reasoning in complex clinical environments.

Teaching clinical reasoning in gerontological physiotherapy: Experiences and perceptions of clinical supervisors

INTRODUCTION

Teaching clinical reasoning to physiotherapy students is essential for preparing them to work effectively with patients.

OBJECTIVE

This qualitative study aimed to explore the experiences and perceptions of clinical supervisors of teaching clinical reasoning in gerontological physiotherapy.

METHODS

Australian-based clinical supervisors for student placements in gerontological physiotherapy (n = 9) participated in individual semi-structured interviews via videoconferencing. Data were analyzed using Braun and Clark's reflexive thematic analysis.

RESULTS

Four themes were developed from the data: 1) Preparedness for placement: students and supervisors; 2) Dynamic placement adaptations to meet individual learning needs; 3) Negotiating clinically complex and variable patient needs; and 4) Crafting learning opportunities amidst complexities. Clinical supervisors perceive that teaching clinical reasoning is influenced by student and supervisor preparedness and the complexity of gerontological practice. Supervisors engage in planning prior to placements, adapt tasks, discussions and feedback throughout the placement, and promote multi-disciplinary learning experiences to highlight person-centered and collaborative care.

CONCLUSION

This research enhances physiotherapy academics,' clinical supervisors' and students' understanding of the factors influencing teaching clinical reasoning to students in gerontological settings. The challenges and strategies identified can improve students' and supervisors' preparedness for placements, assist them to negotiate complexity and create opportunities to strengthen the learning experience.

Augmentative and alternative communication with children with severe/profound intellectual and multiple disabilities: speech language pathologists' clinical practices and reasoning

PURPOSE

Augmentative and alternative communication (AAC) is recommended to be included in communication interventions directed at children/youth with severe/profound intellectual and multiple disabilities (S/PIMD). Even so, the evidence base for AAC practices with children with S/PIMD is limited. Also, little is known about how frequently AAC is implemented with this target group, which AAC tools and methods are applied, and the related clinical reasoning of speech-language pathologists (SLPs). This study aimed to explore SLPs' beliefs, clinical reasoning and practices in relation to AAC implementation with children/youth with S/PIMD.

MATERIALS AND METHODS

In this sequential, mixed-methods study, 90 SLPs working with children with disabilities within habilitation services in Sweden participated in an online survey. The survey answers were statistically analysed. Subsequently, focus group data were collected from seven SLPs and analysed using thematic analysis.

RESULTS AND CONCLUSIONS

Despite AAC being highly prioritized, SLPs found it challenging and complex to implement with this target group. A wide variety of AAC methods and tools were considered and implemented. Clinical decision-making was a balancing act between competing considerations and was mainly guided by the SLPs' individual, clinical experiences. The resources, engagement and wishes of the social network surrounding the child were considered crucial for clinical decision-making on AAC. Implications for research and practice are discussed.Implications for rehabilitationSpeech-language pathologists (SLPs) seemingly find a wide variety of Augmentative and Alternative Communication (AAC), ranging from unaided methods to assistive technology of various complexity, to be potentially suitable for children/youth with severe/profound intellectual and multiple disabilities (S/PIMD).The motivation and preferences of the social network surrounding the child with S/PIMD seem to influence SLPs' clinical decision-making on AAC to a high degree. Sometimes this may be considered an even more important factor than the abilities of the child.SLPs' clinical decision-making on AAC for children/youth is guided by their individual, clinical experience to a high degree.An increase in family oriented AAC intervention research targeting individuals with S/PIMD could potentially strengthen the association between research and the current, experience-based clinical practice.

Embracing the future-is artificial intelligence already better? A comparative study of artificial intelligence performance in diagnostic accuracy and decision-making

BACKGROUND AND PURPOSE

The integration of artificial intelligence (AI) in healthcare has the potential to revolutionize patient care and clinical decision-making. This study aimed to explore the reliability of large language models in neurology by comparing the performance of an AI chatbot with neurologists in diagnostic accuracy and decision-making.

METHODS

A cross-sectional observational study was conducted. A pool of clinical cases from the American Academy of Neurology's Question of the Day application was used as the basis for the study. The AI chatbot used was ChatGPT, based on GPT-3.5. The results were then compared to neurology peers who also answered the questions-a mean of 1500 neurologists/neurology residents.

RESULTS

The study included 188 questions across 22 different categories. The AI chatbot demonstrated a mean success rate of 71.3% in providing correct answers, with varying levels of proficiency across different neurology categories. Compared to neurology peers, the AI chatbot performed at a similar level, with a mean success rate of 69.2% amongst peers. Additionally, the AI chatbot achieved a correct diagnosis in 85.0% of cases and it provided an adequate justification for its correct responses in 96.1%.

CONCLUSIONS

The study highlights the potential of AI, particularly large language models, in assisting with clinical reasoning and decision-making in neurology and emphasizes the importance of AI as a complementary tool to human expertise. Future advancements and refinements are needed to enhance the AI chatbot's performance and broaden its application across various medical specialties.

The Operators Model of Psychoanalytic Clinical Reasoning

In this paper, the authors develop a model of psychoanalytic clinical reasoning as the inferential process by which analytic therapists are able to arrive at an understanding of the clinical material. Starting from Bion's theory of functions, the authors propose that a "function" can be thought of as a condition-action sequence that analytic therapists implicitly use to respond to certain configurations of elements in the material by executing conceptual or reflective operations. To investigate the main families of functions that are used by analytic therapists in everyday practice, the authors used an interpersonal process recall procedure based on supervision sessions from a theoretically heterogeneous group of participants. A consensual procedure was developed to identify operations, spell out the underlying functions, and group functions into families. Twelve families of functions were identified that appear to be used by analytic therapists regardless of their schools of thought. The authors call them the "operators" of psychoanalytic clinical reasoning. According to the operators model, the process of psychoanalytic clinical reasoning consists in the chaining together of operations using functions from different families. A specific collection of "clinical reasoning styles" seems to be interwoven in this process. Different avenues open up for research, clinical practice, and training.

Clinical variables associated with immune checkpoint inhibitor outcomes in patients with metastatic urothelial carcinoma: a multicentre retrospective cohort study

OBJECTIVES

Immune checkpoint inhibitors (ICIs) are indicated for metastatic urothelial cancer (mUC), but predictive and prognostic factors are lacking. We investigated clinical variables associated with ICI outcomes.

METHODS

We performed a multicentre retrospective cohort study of 135 patients who received ICI for mUC, 2016-2021, at three Canadian centres. Clinical characteristics, body mass index (BMI), metastatic sites, neutrophil-to-lymphocyte ratio (NLR), response and survival were abstracted from chart review.

RESULTS

We identified 135 patients and 62% had received ICI as a second-line or later treatment for mUC. A BMI ≥25 was significantly correlated to a higher overall response rate (ORR) (45.4% vs 16.3%, p value=0.020). Patients with BMI ≥30 experienced longer median overall survival (OS) of 24.8 vs 14.4 for 25≤BMI<30 and 8.5 months for BMI <25 (p value=0.012). The ORR was lower in the presence of bone metastases (16% vs 41%, p value=0.006) and liver metastases (16% vs 39%, p value=0.013). Metastatic lymph nodes were correlated with higher ORR (40% vs 20%, p value=0.032). The median OS for bone metastases was 7.3 versus 18 months (p value <0.001). Patients with liver metastases had a median OS of 8.6 versus 15 months (p value=0.006). No difference for lymph nodes metastases (13.5 vs 12.7 months, p value=0.175) was found. NLR ≥4 had worse OS (8.2 vs 17.7 months, p value=0.0001). In multivariate analysis, BMI ≥30, bone metastases, NLR ≥4, performance status ≥2 and line of ICI ≥2 were independent factors for OS.

CONCLUSIONS

Our data identified BMI and bone metastases as novel clinical biomarkers that were independently associated with ICI outcomes in mUC. External and prospective validation are warranted.

Writing Case Reports Can Improve Seven Components in Clinical Reasoning

Case reports provide scientific knowledge and opportunities for new clinical research. However, it is estimated that less than 5% of cases presented by Japanese generalists at academic conferences are published due to various barriers such as the complex process of writing articles, conducting literature searches, the significant time required, the reluctance to write in English, and the challenge of selecting appropriate journals for publication. Therefore, the purpose of this opinion paper is to provide clinicians with practical tips for writing case reports that promote diagnostic excellence. In recent years, clinical practitioners have been striving for diagnostic excellence and optimal methods to accurately and comprehensively understand the patient's condition. To write a case report, it is essential to be mindful of the elements of diagnostic excellence and consider the quality of the diagnostic reasoning process. We (the authors) are seven academic generalists who are members of the Japanese Society of Hospital General Medicine (JSHGM) - Junior Doctors Association, with a median of 7 years after graduation and extensive experience publishing case reports in international peer-reviewed journals. We conducted a narrative review and discussed ways to write case reports to promote diagnostic excellence, leveraging our unique perspectives as academic generalists. Our review did not identify any reports addressing the critical points in writing case reports that embody diagnostic excellence. Therefore, this report proposes a methodology that describes the process involved in writing diagnostic excellence-promoting case reports and provides an overview of the lessons learned. Based on our review and discussion, we explain the essential points for promoting diagnostic excellence through case reports categorized into seven components of clinical reasoning. These strategies are useful in daily clinical practice and instrumental in promoting diagnostic excellence through case reports.