What Is a Disease for Doctors? A Realist Thematic Qualitative Analysis of the Interpretation of Clinical Vignettes.

Given the long-standing debate about the nature of the concept of disease, the objective of this study was to understand how doctors categorize a condition as a disease or not, and what the kind of information they use is. A survey with a set of eighteen clinical vignettes was designed, and nineteen physicians and senior students purposefully selected were asked to interpret those situations as diseases or not and to produce an anonymous short written piece of text providing the motivation of their choice. Realist thematic analysis was used to analyse the answers, and four themes emerged: the temporal dimension of a disease, reification of disease, disease as an existential condition, and disease as a motivation to action. The respondents' interpretations were very heterogeneous, supporting the idea that physicians do not share a common prototypical concept of disease. The results suggested that the interpretation of a condition as a disease or not is the final outcome of a process, in which information from objective, subjective, and socially mediated elements is taken into consideration. According to a critical realist and systemic approach, we hypothesize that the context of doctor-patient relationship could influence the interpretation of the same condition as being a disease or not.

What We Do, What We Say, What We Don't Say: Confidentiality In The Publication Of Clinical Writing.

Questions concerning analysts' publication of material from the analyses of their patients have troubled the field of psychoanalysis since its inception. Disguise inevitably distorts the clinical material and is often insufficient to protect the patient from recognition. Asking the patient's consent for publication intrudes upon and alters the analytic process. While analysts have largely reached a consensus about the need for anonymity in published material, there is still considerable debate about the necessity for obtaining patients' consent when using their material for publication. In this paper, I will trace the evolving meanings of disguise, and particularly of consent, in the analytic literature. I will place a particular emphasis upon the differing theoretical belief systems that underlie the analyst's decision to ask consent from her patient or not to do so, and I will argue that, although decisions on asking consent remain a complex matter, such coherent belief systems should play an important part in analysts' decisions regarding consent. I will illustrate my thought processes and some clinical situations with brief examples, and I will conclude with some practical recommendations, with the hope that these will stimulate further discussion in the analytic community.

Assessing question characteristic influences on ChatGPT's performance and response-explanation consistency: Insights from Taiwan's Nursing Licensing Exam.

BACKGROUND: Investigates the integration of an artificial intelligence tool, specifically ChatGPT, in nursing education, addressing its effectiveness in exam preparation and self-assessment. OBJECTIVE: This study aims to evaluate the performance of ChatGPT, one of the most promising artificial intelligence-driven linguistic understanding tools in answering question banks for nursing licensing examination preparation. It further analyzes question characteristics that might impact the accuracy of ChatGPT-generated answers and examines its reliability through human expert reviews. DESIGN: Cross-sectional survey comparing ChatGPT-generated answers and their explanations. SETTING: 400 questions from Taiwan's 2022 Nursing Licensing Exam. METHODS: The study analyzed 400 questions from five distinct subjects of Taiwan's 2022 Nursing Licensing Exam using the ChatGPT model which provided answers and in-depth explanations for each question. The impact of various question characteristics, such as type and cognitive level, on the accuracy of the ChatGPT-generated responses was assessed using logistic regression analysis. Additionally, human experts evaluated the explanations for each question, comparing them with the ChatGPT-generated answers to determine consistency. RESULTS: ChatGPT exhibited overall accuracy at 80.75 % for Taiwan's National Nursing Exam, which passes the exam. The accuracy of ChatGPT-generated answers diverged significantly across test subjects, demonstrating a hierarchy ranging from General Medicine at 88.75 %, Medical-Surgical Nursing at 80.0 %, Psychology and Community Nursing at 70.0 %, Obstetrics and Gynecology Nursing at 67.5 %, down to Basic Nursing at 63.0 %. ChatGPT had a higher probability of eliciting incorrect responses for questions with certain characteristics, notably those with clinical vignettes [odds ratio 2.19, 95 % confidence interval 1.24-3.87, P = 0.007] and complex multiple-choice questions [odds ratio 2.37, 95 % confidence interval 1.00-5.60, P = 0.049]. Furthermore, 14.25 % of ChatGPT-generated answers were inconsistent with their explanations, leading to a reduction in the overall accuracy to 74 %. CONCLUSIONS: This study reveals the ChatGPT's capabilities and limitations in nursing exam preparation, underscoring its potential as an auxiliary educational tool. It highlights the model's varied performance across different question types and notable inconsistencies between its answers and explanations. The study contributes significantly to the understanding of artificial intelligence in learning environments, guiding the future development of more effective and reliable artificial intelligence-based educational technologies. TWEETABLE ABSTRACT: New study reveals ChatGPT's potential and challenges in nursing education: Achieves 80.75 % accuracy in exam prep but faces hurdles with complex questions and logical consistency. #AIinNursing #AIinEducation #NursingExams #ChatGPT.

A prospective survey on therapeutic inertia in psoriatic arthritis (OPTI'PsA).

OBJECTIVES: Clinical inertia, or therapeutic inertia (TI), is the medical behaviour of not initiating or intensifying treatment when recommended by clinical recommendations. To our knowledge, our survey is the first to assess TI around psoriatic arthritis (PsA). METHODS: Eight hundred and twenty-five French rheumatologists were contacted via email between January and March 2021 and invited to complete an online questionnaire consisting of seven clinical vignettes: five cases ('oligoarthritis', 'enthesitis', 'polyarthritis', 'neoplastic history', 'cardiovascular risk') requiring treatment OPTImization, and two 'control' cases (distal interphalangeal arthritis, atypical axial involvement) not requiring any change of treatment-according to the most recent PsA recommendations. Rheumatologists were also questioned about their routine practice, continuing medical education and perception of PsA. RESULTS: One hundred and one rheumatologists completed this OPTI'PsA survey. Almost half the respondents (47%) demonstrated TI on at least one of the five vignettes that warranted treatment optimization. The complex profiles inducing the most TI were 'oligoarthritis' and 'enthesitis' with 20% and 19% of respondents not modifying treatment, respectively. Conversely, clinical profiles for which there was the least uncertainty ('polyarthritis in relapse', 'neoplastic history' and 'cardiovascular risk') generated less TI with 11%, 8% and 6% of respondents, respectively, choosing not to change the current treatment. CONCLUSION: The rate of TI we observed for PsA is similar to published data for other chronic diseases such as diabetes, hypertension, gout or multiple sclerosis. Our study is the first to show marked clinical inertia in PsA, and further research is warranted to ascertain the reasons behind this inertia.

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study.

BACKGROUND: Reproductive health conditions such as endometriosis, uterine fibroids, and polycystic ovary syndrome (PCOS) affect a large proportion of women and people who menstruate worldwide. Prevalence estimates for these conditions range from 5% to 40% of women of reproductive age. Long diagnostic delays, up to 12 years, are common and contribute to health complications and increased health care costs. Symptom checker apps provide users with information and tools to better understand their symptoms and thus have the potential to reduce the time to diagnosis for reproductive health conditions. OBJECTIVE: This study aimed to evaluate the agreement between clinicians and 3 symptom checkers (developed by Flo Health UK Limited) in assessing symptoms of endometriosis, uterine fibroids, and PCOS using vignettes. We also aimed to present a robust example of vignette case creation, review, and classification in the context of predeployment testing and validation of digital health symptom checker tools. METHODS: Independent general practitioners were recruited to create clinical case vignettes of simulated users for the purpose of testing each condition symptom checker; vignettes created for each condition contained a mixture of condition-positive and condition-negative outcomes. A second panel of general practitioners then reviewed, approved, and modified (if necessary) each vignette. A third group of general practitioners reviewed each vignette case and designated a final classification. Vignettes were then entered into the symptom checkers by a fourth, different group of general practitioners. The outcomes of each symptom checker were then compared with the final classification of each vignette to produce accuracy metrics including percent agreement, sensitivity, specificity, positive predictive value, and negative predictive value. RESULTS: A total of 24 cases were created per condition. Overall, exact matches between the vignette general practitioner classification and the symptom checker outcome were 83% (n=20) for endometriosis, 83% (n=20) for uterine fibroids, and 88% (n=21) for PCOS. For each symptom checker, sensitivity was reported as 81.8% for endometriosis, 84.6% for uterine fibroids, and 100% for PCOS; specificity was reported as 84.6% for endometriosis, 81.8% for uterine fibroids, and 75% for PCOS; positive predictive value was reported as 81.8% for endometriosis, 84.6% for uterine fibroids, 80% for PCOS; and negative predictive value was reported as 84.6% for endometriosis, 81.8% for uterine fibroids, and 100% for PCOS. CONCLUSIONS: The single-condition symptom checkers have high levels of agreement with general practitioner classification for endometriosis, uterine fibroids, and PCOS. Given long delays in diagnosis for many reproductive health conditions, which lead to increased medical costs and potential health complications for individuals and health care providers, innovative health apps and symptom checkers hold the potential to improve care pathways.

The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study.

BACKGROUND: Whether GPT-4, the conversational artificial intelligence, can accurately diagnose and triage health conditions and whether it presents racial and ethnic biases in its decisions remain unclear. OBJECTIVE: We aim to assess the accuracy of GPT-4 in the diagnosis and triage of health conditions and whether its performance varies by patient race and ethnicity. METHODS: We compared the performance of GPT-4 and physicians, using 45 typical clinical vignettes, each with a correct diagnosis and triage level, in February and March 2023. For each of the 45 clinical vignettes, GPT-4 and 3 board-certified physicians provided the most likely primary diagnosis and triage level (emergency, nonemergency, or self-care). Independent reviewers evaluated the diagnoses as "correct" or "incorrect." Physician diagnosis was defined as the consensus of the 3 physicians. We evaluated whether the performance of GPT-4 varies by patient race and ethnicity, by adding the information on patient race and ethnicity to the clinical vignettes. RESULTS: The accuracy of diagnosis was comparable between GPT-4 and physicians (the percentage of correct diagnosis was 97.8% (44/45; 95% CI 88.2%-99.9%) for GPT-4 and 91.1% (41/45; 95% CI 78.8%-97.5%) for physicians; P=.38). GPT-4 provided appropriate reasoning for 97.8% (44/45) of the vignettes. The appropriateness of triage was comparable between GPT-4 and physicians (GPT-4: 30/45, 66.7%; 95% CI 51.0%-80.0%; physicians: 30/45, 66.7%; 95% CI 51.0%-80.0%; P=.99). The performance of GPT-4 in diagnosing health conditions did not vary among different races and ethnicities (Black, White, Asian, and Hispanic), with an accuracy of 100% (95% CI 78.2%-100%). P values, compared to the GPT-4 output without incorporating race and ethnicity information, were all .99. The accuracy of triage was not significantly different even if patients' race and ethnicity information was added. The accuracy of triage was 62.2% (95% CI 46.5%-76.2%; P=.50) for Black patients; 66.7% (95% CI 51.0%-80.0%; P=.99) for White patients; 66.7% (95% CI 51.0%-80.0%; P=.99) for Asian patients, and 62.2% (95% CI 46.5%-76.2%; P=.69) for Hispanic patients. P values were calculated by comparing the outputs with and without conditioning on race and ethnicity. CONCLUSIONS: GPT-4's ability to diagnose and triage typical clinical vignettes was comparable to that of board-certified physicians. The performance of GPT-4 did not vary by patient race and ethnicity. These findings should be informative for health systems looking to introduce conversational artificial intelligence to improve the efficiency of patient diagnosis and triage.

A gender biased hidden curriculum of clinical vignettes in undergraduate medical training.

OBJECTIVES: Medical education relies extensively on clinical vignettes, yet little attention has been given to what hidden curriculum they might convey. Our research aimed to identify whether the clinical vignettes used in pre-graduate medical education transmit gender stereotypes or gender biases. METHODS: We conducted a mixed quantitative and qualitative analysis of gender-related characteristics currently existing in clinical vignettes used for pre-graduate teaching and evaluation at the Geneva Faculty of Medicine. RESULTS: 2359 vignettes were identified, of which 955 met inclusion criteria. Patients' professions and family caregiver roles showed a strongly gendered distribution, as did the healthcare professions where male physicians and female nurses were the norm. Qualitative results identified widespread stereotyped gender roles and gender expression. CONCLUSION: Our study reveals that the clinical vignettes used in education and evaluation materials in pre-graduate medical education in Geneva convey a gender-biased hidden curriculum, which could negatively impact patient care and undermine equal opportunity for men and women. PRACTICE IMPLICATIONS: Active revision of the content and the form of clinical vignettes used in undergraduate medical education is needed using a gender lens. Based on rare gender neutral or gender transformative examples from our study, we propose guidelines for writing non-gender-biased vignettes.

Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study.

BACKGROUND: Large language model (LLM)-based artificial intelligence chatbots direct the power of large training data sets toward successive, related tasks as opposed to single-ask tasks, for which artificial intelligence already achieves impressive performance. The capacity of LLMs to assist in the full scope of iterative clinical reasoning via successive prompting, in effect acting as artificial physicians, has not yet been evaluated. OBJECTIVE: This study aimed to evaluate ChatGPT's capacity for ongoing clinical decision support via its performance on standardized clinical vignettes. METHODS: We inputted all 36 published clinical vignettes from the Merck Sharpe & Dohme (MSD) Clinical Manual into ChatGPT and compared its accuracy on differential diagnoses, diagnostic testing, final diagnosis, and management based on patient age, gender, and case acuity. Accuracy was measured by the proportion of correct responses to the questions posed within the clinical vignettes tested, as calculated by human scorers. We further conducted linear regression to assess the contributing factors toward ChatGPT's performance on clinical tasks. RESULTS: ChatGPT achieved an overall accuracy of 71.7% (95% CI 69.3%-74.1%) across all 36 clinical vignettes. The LLM demonstrated the highest performance in making a final diagnosis with an accuracy of 76.9% (95% CI 67.8%-86.1%) and the lowest performance in generating an initial differential diagnosis with an accuracy of 60.3% (95% CI 54.2%-66.6%). Compared to answering questions about general medical knowledge, ChatGPT demonstrated inferior performance on differential diagnosis (ß=-15.8%; P<.001) and clinical management (ß=-7.4%; P=.02) question types. CONCLUSIONS: ChatGPT achieves impressive accuracy in clinical decision-making, with increasing strength as it gains more clinical information at its disposal. In particular, ChatGPT demonstrates the greatest accuracy in tasks of final diagnosis as compared to initial diagnosis. Limitations include possible model hallucinations and the unclear composition of ChatGPT's training data set.

Measuring Quality of Maternal, Neonatal, Child, Reproductive Health and Nutrition Care with tools developed by the RADAR project and tested in Sub Saharan Africa.

Increasing coverage of evidence-based maternal, neonatal, child, reproductive health and nutrition (MNCRHN) programs in low- and middle-income countries has coincided with dramatic improvements in health despite variable quality of implementation. Comprehensive evaluation to inform program improvement requires standardized but adaptable tools, which the Real Accountability, Data Analysis for Results (RADAR) project has developed. To inform selection of tools and methods packages ('packages') to measure program quality of care (QoC), we documented experiences testing the packages, which were developed and adapted based on global and local expertise, and pre- and pilot-testing. We conducted cross-sectional studies in 2018-2019 on the quality of 1) integrated community case management, 2) counseling on maternal, infant, and young child feeding, 3) intrapartum care, and 4) family planning counseling in Mali, Mozambique, Tanzania, and Malawi. Herein we describe package performance and highlight experiences that inform their selection and use. Direct observation packages provided high-quality, immediately applicable results but they required specialized expertise, in-person collection, adequate patient volume, reasonable wait times, and unambiguously 'correct' provision of care. General satisfaction questions from exit interview packages produced unvaryingly positive responses despite variable observed quality of care. Variation increased when questions were more targeted, but findings on caregiver and client's recall of recommendations were more actionable. When interactive, clinical vignettes can capture knowledge of clinical care. But for conditions that can be simulated, like provision of family planning counseling, we could capture provider practice from simulated clients. Clinicians could more easily demonstrate tactile aspects of intrapartum care using observed structured clinical examinations, but this method required storage and transport of the required mannequins. Based on our findings we recommend ten questions upon which evaluators can base package selection. Findings from these packages inform programs and, in the context of comprehensive program evaluation enable us to link programs with impact.

Provider competence in hypertension management and challenges of the rural primary healthcare system in Sichuan province, China: a study based on standardized clinical vignettes.

BACKGROUND: Improving primary care providers' competence is key to detecting and managing hypertension, but evidence to guide this work has been limited, particularly for rural areas. This study aimed to use standardized clinical vignettes to assess the competence of providers and the ability of the primary healthcare system to detect and manage hypertension in rural China. METHODS: A multi-stage random sampling method was administered to select target health facilities, providers, and households. The clinical vignette script was developed to evaluate provider competence in managing first-visit patients with symptoms of hypertension. Logistic regression was used to explore the factors correlated with provider competence. Provider referral and management rates were combined with patients' facility sorting behaviors to assess the ability of the rural healthcare system to manage hypertension in three policy scenarios. RESULTS: A total of 306 providers and 153 facilities were enrolled in our study. In the 306 clinical vignette interactions, 25.9% of providers followed the national guidelines for hypertension consultation. The correct diagnosis was achieved by only 10.1% of providers, and 30.4% of providers were able to prescribe the correct treatment. Multi-variable regression results showed that younger providers (OR = 0.85, 95%CI: 0.73, 0.98) and those who work in township health centers (OR = 4.47, 95%: 1.07, 18.67) were more likely to provide a correct diagnosis. In a free-selection scenario, 29.8% of patients with hypertension were managed correctly throughout the rural system. When all patients first visit village clinics, system-level correct management is reduced to 20.5% but increases to 45.0% when all patients first visit township health centers. CONCLUSIONS: Rural primary care providers do not have enough competence to detect and treat hypertension cases in China to an acceptable degree. Policy constraints may limit the competence of the rural healthcare system. Research to improve detection and treatment competence in hypertension and optimize health policy is needed.

Evaluation of a Whole Health-Lifestyle Medicine Curriculum for Physician Assistant Students: a Mixed Methods Analysis.

There is increased urgency to train healthcare professionals in lifestyle medicine (LM) to mitigate the impact of lifestyle factors on chronic disease (Trilk et al. in Am J Prevent Medic. 2019:e169-e75, 2019; Polak et al. in Am J Lifestyle Med. 2015;9:361-7, 2015). This training addresses physical activity, nutrition, stress management, sleep hygiene, relationships, tobacco cessation (Lifestyle medicine in ACLM Home, 2020), and self-care. Several studies have evaluated the impact of this training on physician assistant (PA) students (Keyes and Gardner in Clin Teach. 2020, 2020; Phillips et al. Med Sci Educ. 1-5). The current paper extends previous quantitative findings from Phillips et al., 2021, revealing positive qualitative changes in PA student language and approach to clinical vignettes after completion of a novel Whole Health/lifestyle medicine (WH-LM) curriculum.

Assessing provider performance of intrapartum care using simulated encounters and clinical vignettes: A comparison study from Tanzania.

OBJECTIVE: To compare clinical vignettes and objective structured clinical examinations (OSCE) as methods for assessing the quality of intrapartum care among skilled providers in rural primary-level health facilities in Tanzania. METHODS: Cross-sectional study conducted at six health facilities in the Simiyu region of Tanzania. Providers were assessed using OSCE and clinical vignettes in spontaneous delivery, neonatal resuscitation, and management of postpartum hemorrhage. Trained researchers used a structured clinical checklist. The frequencies of items are presented as percentages and the agreement of the methods of assessment are reported using kappa statistics (high: kappa > 0.80, moderate: kappa = 0.60-0.80, low: kappa < 0.60). RESULTS: Most healthcare providers were female (60.7%), registered nurses by training (29.0%), and worked in a dispensary (56.1%), with an average age of 33 years and an average of 7.4 years of experience in their respective professions. Five items had high agreement between OSCE and clinical vignettes: postpartum vital signs every 15 min, oxytocin within 1 min of birth, diagnosis of postpartum hemorrhage, elevating legs of the mother, and deciding on manual compression of the uterus. CONCLUSION: OSCE and clinical vignettes should be viewed as complimentary to one another in the assessment of provider knowledge and skill, with priority given to OSCE, particularly in intrapartum care.

Initiative to Improve Evidence-Based Chronic Obstructive Pulmonary Disease Hospitalist Care Using a Novel On-Line Gamification Patient Simulation Tool: A Prospective Study.

Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality. Much of the disease burden comes from exacerbations requiring hospitalization. Unwarranted care variation and divergence from evidence-based COPD management guidelines among hospitalists is a leading driver of the poor outcomes and excess costs associated with COPD-related hospitalizations. We engaged with Novant Health hospitalists to determine if measurement and feedback using fixed-choice simulated patients improves evidence-based care delivery and reduces costs. We created a series of gamified acute-care COPD case simulations with real-time feedback over 16 weeks then performed a year-over-year analytic comparison of the cost, length of stay (LOS), and revisits over the six months prior to the introduction of the simulated patients, the four months while caring for the simulated patients, and the six months after. In total, 245 hospitalists from 15 facilities at Novant Health participated. At baseline, the overall quality-of-care was measured as 58.4% + 12.3%, with providers correctly identifying COPD exacerbation in 92.4% of cases but only identifying the grade and group in 61.9% and 49.5% of cases, respectively. By the study end, the quality-of-care had improved 10.5% (p < 0.001), including improvements in identifying the grade (+9.7%, p = 0.044) and group (+8.4%, p = 0.098). These improvements correlated with changes in real-world performance data, including a 19% reduction in COPD-related pharmacy costs. Overall, the annualized impact of COPD improvements led to 233 fewer inpatient days, 371 fewer revisit days, and inpatient savings totaling nearly $1 million. Engaging practicing providers with patient simulation-based serial measurements and gamified evidence-based feedback potentially reduces inpatient costs while simultaneously reducing patient LOS and revisit rates.

Examination of physician factors influencing psychiatric assessment of acutely suicidal patients.

Suicide risk assessment is a subjective process and remains a clinical challenge in psychiatry. We aimed to examine physicians' characteristics that influence management of acutely suicidal patients. In a cross-sectional design, we performed an anonymous internet survey of psychiatry residents and attendings from four academic centers. Gender, years of experience, practice setting, prior patient suicide, and personal exposure to suicide were characterized. Participants were presented with three clinical vignettes and asked to rate suicide risk and clinical disposition. The relationship between responses to the vignettes and physician characteristics were examined with generalized linear models. Fifty-four residents and 49 attendings completed the survey. Four (7%) residents and 24 (49%) attendings had patients die by suicide, whereas 32 (59%) and 36 (74%), respectively, knew somebody outside their practice who died by suicide. Among residents, lower rating of acute suicide risk was associated with prior exposure to non-patient suicide. Less hospitalization chosen by attendings was associated with greater perceived difficulty of suicide risk assessment. In the combined resident and attending sample, less proneness to hospitalize was associated with number of previous patients die by suicide and with outpatient practice. Our results suggest that previous exposure to suicide is associated with more risk-averse management.

General practitioners' clinical practice on the management of cystitis in Normandy, France: A clinical vignettes-based study.

RATIONALE, AIMS, AND OBJECTIVES: The objective was to measure the quality of clinical practice for the management of cystitis in adult women in general practice by collaborating with quality circles and the regional centre for antibiotic counsel. METHOD: This descriptive cross-sectional study was performed in 2018 in Normandy, France. A questionnaire composed of clinical vignettes was used to evaluate practices of general practitioners (GPs) with regard to cystitis classified into four categories: simple, at risk of complication, recurrent, and caused by multidrug-resistant bacteria. The 2017 French Infectious Diseases Society's guidelines were used as a reference. RESULTS: A total of 142 GPs participated in the study (45.5% of the solicited). Fosfomycin-trometamol and pivmecillinam were cited as first-line treatments for simple cystitis by 134 (94%) and 38 (27%) participants, respectively. For at risk of complication cystitis, the treatments cited were cefixime by 64 participants (45%), ofloxacin by 50 (35%), pivmecillinam by 49 (35%), fosfomycin-trometamol by 38 (27%), nitrofurantoin by 36 (25%), and amoxicillin-clavulanic acid by 28 (20%). Mean compliance rates were 85% for simple cystitis, 39% for at risk of complication cystitis, 60% for recurrent cystitis and 14% for cystitis caused by multidrug-resistant bacteria. Two criteria had less than 10% of the compliant answers: comprehensive knowledge of cystitis complication risk factors (9%) and positivity thresholds of urine cultures (10%). CONCLUSIONS: In this study, diagnostic means, follow-up testing, and simple cystitis treatment (with fosfomycin predominantly mentioned) were broadly compliant. The use of critical antibiotics was too frequent for at risk of complication cystitis. There may be a need to improve the knowledge of professionals on antibiotic resistance and appropriate antibiotic use.

Investigation of the efficacy of an online tool for improving the diagnosis of macular lesions imaged by optical coherence tomography.

PURPOSE: Optical coherence tomography (OCT) is a non-invasive method for diagnosis and monitoring of retinal (typically, macular) conditions. The unfamiliar nature of OCT images can present considerable challenges for some community optometrists. The purpose of this research is to develop and assess the efficacy of a novel internet resource designed to assist optometrists in using OCT for diagnosis of macular disease and patient management. METHODS: An online tool (OCTAID) has been designed to assist practitioners in the diagnosis of macular lesions detected by OCT. The effectiveness of OCTAID was evaluated in a randomised controlled trial comparing two groups of practitioners who underwent an online assessment (using clinical vignettes) based on OCT images, before (exam 1) and after (exam 2) an educational intervention. Participants' answers were validated against experts' classifications (the reference standard). OCTAID was randomly allocated as the educational intervention for one group with the control group receiving an intervention of standard OCT educational material. The participants were community optometrists. RESULTS: Random allocation resulted in 53 optometrists receiving OCTAID and 65 receiving the control intervention. Both groups performed similarly at baseline with no significant difference in mean exam 1 scores (p = 0.21). The primary outcome measure was mean improvement in exam score between the two exam modules. Participants who received OCTAID improved their exam score significantly more than those who received conventional educational materials (p = 0.005). CONCLUSION: Use of OCTAID is associated with an improvement in the combined skill of OCT scan recognition and patient management decisions.

Criminal Responsibility Scale: Development and Validation of a Psychometric Tool Structured in Clinical Vignettes for Criminal Responsibility Assessments in Brazil.

Criminal responsibility assessment is undertaken by psychologists or psychiatrists to assess offenders' legal capacities, which vary among countries or regional legislations. There are two psychometric tools (i.e., checklists) validated for criminal responsibility assessment: the Roger Criminal Responsibility Scale, and the rating scale of criminal responsibility for mentally disordered offenders. Despite the existence of psychometric tools structured in clinical vignettes for evaluating legal capacities, none serve the purpose of assessing criminal responsibility. This study aims to validate a novel psychometric tool structured in vignettes for the assessment of criminal responsibility called the "Criminal Responsibility Scale." We applied the tool to 88 defendants referred for criminal responsibility assessment in a forensic medical institute in the city of Rio de Janeiro, Brazil, from December 2017 to December 2018. The validity of the Criminal Responsibility Scale and subscales were evaluated using confirmatory factor analysis. The two-factor solution proved satisfactory and met the needs for practical application of the tool (Kaiser-Meyer-Oklin = 0.82; p < 0.001). Moreover, the inter-rater reliability was evaluated by comparing the tool's final score with that of the expert's conclusion in each case and was found to be satisfactory (k = 0.667-1.0), with a resulting cutoff point of 30.50 (±2) and a Youden index of 0.509. Hence, the Criminal Responsibility Scale is an effective psychometric tool for assessments of criminal responsibility that may encourage future research in assessments of legal capacity with clinical vignette-based psychometric instruments.

The competence of village clinicians in the diagnosis and treatment of heart disease in rural China: A nationally representative assessment.

BACKGROUND: While strengthening primary care quality is key to China's health system reforms, evidence to guide this work has been limited, particularly for rural areas. This study provides the first nationally-representative assessment of village doctors' competence in diagnosing and managing presumptive heart disease. METHODS: A cross-sectional study of village clinics was conducted across five provinces. We presented standardized clinical vignettes to evaluate clinicians' competence in diagnosing and managing unstable angina. Enumerators accompanying mock patients documented the interaction, including questions, physical examinations, diagnoses, and management options provided by the doctor. We measured diagnostic process competence as adherence to "recommended" questions and examinations based on national clinical practice guidelines, diagnostic competence according to whether clinicians provided a correct diagnosis, and management as correct medication and/or referral. Management was assessed twice: following clinicians' own diagnoses determined through questioning and examinations, and after enumerators provided doctors with the correct diagnosis. FINDINGS: Clinicians completed 26% (95% CI 24% to 28%) of recommended diagnostic questions and examinations; 20% (14% to 27%) arrived at a correct diagnosis. Rates of correct management were 43% (35% to 51%) following clinicians' own diagnosis and 51% (43% to 59%) after being given the correct diagnosis. When given the correct diagnosis and only asked to provide treatment, clinicians prescribed 82% fewer potentially harmful medications than in treatments based on their own (potentially incorrect) diagnosis. INTERPRETATION: The ability of village doctors to diagnose a textbook case of unstable angina is limited. Deficits in diagnostic competence led to low rates of correct management.

Evaluation of a prescription support-tool for chronic management of oral antithrombotic combinations in adults using clinical vignettes: protocol of a randomised controlled trial.

INTRODUCTION: Improving the appropriateness of prescriptions of oral antithrombotic (AT) drugs, especially AT combinations, is crucial because these drugs are implicated in bleeding events. We developed a prescription support-tool synthesising guidelines on chronic management of oral AT combinations. Our main objective is to assess the impact of this tool on improving the prescription of oral ATs to comply with guidelines. METHODS AND ANALYSIS: A randomised controlled trial will be conducted among French general practitioners and cardiologists involved in outpatient settings. Physicians will be invited to participate to an online survey by email via physician associations, social networks or word of mouth. They will be randomised to two arms: the experimental arm (access to the prescription support-tool) or the control arm (no prescription support-tool). Then, all participants will be presented three different clinical vignettes illustrating outpatient clinical situations and will be asked to propose prescriptions for each vignette (number of ATs, type, dosage and duration). A computer-generated randomisation scheme implemented in the online survey will be used to allocate physicians to the experimental or control arm and then stratified by medical specialty. The primary outcome will be fully appropriate prescription of oral ATs ie, that comply with the guidelines in terms of number of drugs, drug class, dosage and duration. To demonstrate a 5% increase in this proportion, we will need to include a minimum of 230 physicians per arm. A logistic mixed model with a clinical vignette-effect and a physician-effect nested in the arm of the study will be used. ETHICS AND DISSEMINATION: The Institutional Review Board of Inserm (IRB00003888) approved our research project (no. 18-492). If the prescription support-tool improves the prescription of oral ATs, we will create an interactive web tool and will assess its impact in terms of clinical outcomes in real-life. TRIAL REGISTRATION NUMBER: NCT03630874; Pre-results.

Newly qualified Saudi nurses' ability to recognize the deteriorating child in hospital.

BACKGROUND: It is recognized that nurses' failure to recognize and respond promptly to deterioration in children's physiological status can result in increased morbidity and mortality. AIM: The aim of this study was to explore the ability of Saudi-educated, newly qualified nurses, working in paediatric wards, to recognize children's deterioration. METHODS: A pilot study was carried out to assess nurses' responses to three clinical vignettes (deteriorating child, improving child and ambiguous scenarios). The nurses' ability to make a correct identification was captured using a 'Think Aloud' approach and quantified using a visual analogue scale. RESULTS: Twenty-seven nurses in two geographical regions in Saudi Arabia participated. Only half the nurses (51·8%) correctly identified the deteriorating child vignette. Of those who could not, 37% were unsure and 11% responded incorrectly. No nurses correctly identified all three vignettes, and four nurses (15%) responded incorrectly to all vignettes. CONCLUSIONS: The recognition of the deteriorating child is complex, and even in non-stressful simulated scenarios using vignettes, many newly qualified nurses working with children failed to recognize clear signs of deterioration. A focused (culturally specific) educational intervention is being developed to target this, taking into account Saudi nurses' perceived education and training needs. RELEVANCE TO CLINICAL PRACTICE: Newly qualified nurses working in paediatric wards frequently find it difficult to identify the deteriorating child.