Establishing Triage Competencies and Verification Processes: A Survey Study.

INTRODUCTION: Although the ED triage function is a critical means of ensuring patient safety, core competencies for ED triage are not well defined in the literature. The purpose of the study was to identify and validate emergency triage nursing competencies and to develop a competency verification process. METHODS: A sample of 1181 emergency nurses evenly divided between roles with oversight of triage training and competency assessment (manager-level and staff nurses performing triage) completed an online survey evaluating competency elements that comprised the following in terms of frequency and importance, training modalities, and evaluation methods: expert assessment, clinical judgment, management of medical resources, communication, and timely decisions. RESULTS: Both manager-level and triage nurses agreed on the importance of the identified competencies. Gaps in training and evaluation were reported by both staff nurses and manager-level nurses. Triage nurses reported less training offered and less competency evaluation compared with manager-level nurses. Triage nurses reported performing all competencies more frequently and at higher level of competency than manager-level nurses reporting on triage nurse performance. DISCUSSION: This study provides both a standard set of triage competencies and a method by which to evaluate them. Managers and educators might consider this standard to establish initial triage role competency and periodic competency assessment per institutional guidelines. The gap in perceived education and evaluation suggests that standard education and evaluation processes be adopted across emergency departments.

Provision of ankle foot orthoses for children with cerebral palsy in Norway.

Introduction: Practice of ankle-foot orthoses (AFO) provision for ambulatory children with cerebral palsy is underreported and the literature is not consistent on choice of AFO-design. This study describes clinical practice of AFO provision for children with cerebral palsy and evaluates how clinical practice aligns with existing recommendations. Methods: An online, cross-sectional survey was conducted, inviting all Norwegian orthotists working with children with cerebral palsy. Orthotic practice was investigated using a self-reported survey design. Results: From all eligible orthotists, 54% responded, revealing that AFO provision involves patients, physicians, and physiotherapists at different stages. Patient preference directly influenced the ultimate AFO-design. Shank vertical angle was evaluated by 79%. For children with crouch gait and those with short gastrocnemius, a majority preferred a combination of rigid and articulated/flexible AFO-designs. Instrumented gait analysis was conducted by 51% at AFO delivery stage. Conclusions: The findings show that AFO provision in Norway is collaborative, involving clinical team members and consideration of patient preferences. A discrepancy between clinical practice and existing recommendations for children with crouch gait and those with short gastrocnemius is observed.

Prospectively investigating the impact of AI onshared decision-making in post kidney transplant care (PRIMA-AI): protocol for a longitudinal qualitative study among patients, their support persons and treating physicians at a tertiary care centre.

INTRODUCTION: As healthcare is shifting from a paternalistic to a patient-centred approach, medical decision making becomes more collaborative involving patients, their support persons (SPs) and physicians. Implementing shared decision-making (SDM) into clinical practice can be challenging and becomes even more complex with the introduction of artificial intelligence (AI) as a potential actant in the communicative network. Although there is more empirical research on patients' and physicians' perceptions of AI, little is known about the impact of AI on SDM. This study will help to fill this gap. To the best of our knowledge, this is the first systematic empirical investigation to prospectively assess the views of patients, their SPs and physicians on how AI affects SDM in physician-patient communication after kidney transplantation. Using a transdisciplinary approach, this study will explore the role and impact of an AI-decision support system (DSS) designed to assist with medical decision making in the clinical encounter. METHODS AND ANALYSIS: This is a plan to roll out a 2 year, longitudinal qualitative interview study in a German kidney transplant centre. Semi-structured interviews with patients, SPs and physicians will be conducted at baseline and in 3-, 6-, 12- and 24-month follow-up. A total of 50 patient-SP dyads and their treating physicians will be recruited at baseline. Assuming a dropout rate of 20% per year, it is anticipated that 30 patient-SP dyads will be included in the last follow-up with the aim of achieving data saturation. Interviews will be audio-recorded and transcribed verbatim. Transcripts will be analysed using framework analysis. Participants will be asked to report on their (a) communication experiences and preferences, (b) views on the influence of the AI-based DSS on the normative foundations of the use of AI in medical decision-making, focusing on agency along with trustworthiness, transparency and responsibility and (c) perceptions of the use of the AI-based DSS, as well as barriers and facilitators to its implementation into routine care. ETHICS AND DISSEMINATION: Approval has been granted by the local ethics committee of Charité-Universitätsmedizin Berlin (EA1/177/23 on 08 August 2023). This research will be conducted in accordance with the principles of the Declaration of Helsinki (1996). The study findings will be used to develop communication guidance for physicians on how to introduce and sustainably implement AI-assisted SDM. The study results will also be used to develop lay language patient information on AI-assisted SDM. A broad dissemination strategy will help communicate the results of this research to a variety of target groups, including scientific and non-scientific audiences, to allow for a more informed discourse among different actors from policy, science and society on the role and impact of AI in physician-patient communication.

Modifications to the National Early Warning Score: a scoping review protocol.

INTRODUCTION: The National Early Warning Score (NEWS/2) system was developed to enable the detection and early intervention of patients at risk of clinical deterioration. It has demonstrated good accuracy in identifying imminent critical outcomes but has limitations in its applicability to various patient types and its ability to predict upcoming deterioration beyond 24 hours. Various studies have attempted to improve its predictive accuracy and clinical utility by modifying or adding variables to the standard NEWS/2 system. The purpose of this scoping review is to identify modifications to the NEWS and NEWS2 systems (eg, the inclusion of additional patient demographic, physiological or other characteristics) and how those modifications influence predictive accuracy to provide an evidence base for subsequent improvement of the system. METHODS AND ANALYSIS: The review will be structured using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and the Population, Intervention, Comparator, Outcome, and Study frameworks. Six databases (PubMed, ScienceDirect, Embase, CINAHL, Web of Science and Cochrane Library) will be searched in April 2024 for articles published in English. Article screening and data extraction will be conducted by two independent reviewers, with any conflicts resolved by discussion. The analysis will be descriptive to provide a summary of modifications identified and their influence on the predictive accuracy of NEWS/NEWS 2. ETHICS AND DISSEMINATION: Ethical approval is not required as data will be obtained from already published sources. Findings from this study will be disseminated via publication in a peer-reviewed journal.

ESR Essentials: staging and restaging with FDG-PET/CT in oncology-practice recommendations by the European Society for Hybrid, Molecular and Translational Imaging.

Positron emission tomography (PET) stands as the paramount clinical molecular imaging modality, especially in oncology. Unlike conventional anatomical-morphological imaging methods such as computed tomography (CT) and magnetic resonance imaging (MRI), PET provides detailed visualizations of internal activity at the molecular and cellular levels. 18-fluorine-fluorodeoxyglucose ([18F]FDG)-PET combined with contrast-enhanced CT (ceCT) significantly improves the detection of various cancers. Appropriate patient selection is crucial, and physicians should carefully assess the appropriateness of [18F]FDG-PET/CT based on specific clinical criteria and evidence. Due to its high diagnostic accuracy, [18F]FDG-PET/CT is indispensable for evaluating the extent of disease, staging, and restaging known malignancies, and assessing the response to therapy. PET/CT imaging offers significant advantages in patient management, particularly by identifying occult metastases that might otherwise go undetected. This can help prevent unnecessary surgeries, allowing many patients to be redirected to systemic chemotherapy instead. However, it is important to note that the gold standard for surgical planning remains CT and/or MRI, depending on the body region. These imaging modalities, with or without associated angiography, provide superior contrast and spatial resolution, essential for detailed surgical preparation and planning. [18F]FDG-PET/CT has a central role in the precise and early diagnosis of cancer, contributing significantly to personalized treatment plans. However, it has limitations, including non-tumor-specific uptake and the potential to inaccurately capture the metabolic activity of certain tumor types due to low uptake in some well-differentiated tumor cell lines. Therefore, it should be utilized in clinical scenarios where it offers crucial diagnostic insights not readily available with other imaging modalities. KEY POINTS: Use [18F]FDG-PET/CT selectively based on clinical appropriateness criteria and existing evidence to optimize resource utilization and minimize patient exposure. Employ [18F]FDG-PET/CT in treatment planning and monitoring, particularly for assessing chemotherapy or radiotherapy response in FDG-avid lymphoma and solid tumors. When available, [18F]FDG-PET/CT can be integrated with other diagnostic tools, such as MRI, to enhance overall diagnostic accuracy.

Diagnosing acute appendicitis: a case study.

Advanced clinical practitioners (ACPs) are experienced health professionals educated to master's level. They are accountable for the assessment, diagnosis and treatment of individuals, and are responsible for making complex decisions. The case study presented in this article critically analyses the consultation involving a male patient in his sixties with a 2-day history of abdominal pain, who was referred by his GP to a surgical assessment unit. Analysis was carried out using the Calgary-Cambridge Model. The article discusses history-taking, abdominal examination and differential diagnoses, and presents the process of how the trainee ACP arrived at the diagnosis of appendicitis.

Nursing students' experience of a transformative approach to teaching cross cultural clinical decision making.

OBJECTIVES: This study reveals the learning gained by Canadian and Rwandan nursing students from a course to enhance cross cultural clinical decision-making skills using a collaborative approach across two countries. METHODS: A qualitative descriptive study was conducted using thematic analysis. The study included analysis of end of course reflections of 94 students. RESULTS: Students became more open-minded, curious, strengthening teamwork, increasing their critical thinking, and identifying cross-cultural similarities in practice. They challenged their previous beliefs about others. CONCLUSIONS: Students achieved a transformation of previous knowledge and decision-making skills. Results indicate the value of underpinning courses with theories and being open in allowing students to develop their own means to achieve expected learning outcomes. IMPLICATIONS FOR AN INTERNATIONAL AUDIENCE: Creating learning environments designed to stimulate open mindedness and exploration of cultures among students can be achieved through online learning. Providing opportunities for students to learn across other countries about their nursing practices and health systems are critical to understanding how future patients who are immigrants and refugees from other countries differing perspectives to their health care needs.

A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study.

Purpose: The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods: A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results: Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33-3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09-1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09-1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.09-1.22], P=0.003). Conclusions: This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.

How do Japanese patients really feel about losing potency after radical prostatectomy? (MAJI study).

OBJECTIVES: To investigate actual patients' feelings about losing erectile function because of treatment for prostate cancer. METHODS: The study participants were 20 patients who were going to receive robot-assisted laparoscopic radical prostatectomy without nerve sparing. Before surgery, we interviewed them using an original questionnaire. The questionnaire included inquiries concerning their feelings about losing sexual function, whether they were sad or not, wanted to preserve sexual function, wanted to receive treatment if there were one that would restore sexual function and how much they would be willing to pay to recover their sexual function. RESULTS: The median age of the participant was 67 years (range 60-73 years). Fourteen patients (70%) were sad about losing their sexual function and 17 (85%) wanted to preserve it if they could. Thirteen patients (65%) wanted to receive treatment that would restore their lost sexual function, and they thought that they would be willing to pay a median of 500 000 yen (range 0-1 000 000 yen) to recover it. CONCLUSIONS: Most of the patients felt sad about losing their potency just before radical prostatectomy without nerve sparing. Although almost all patients wanted to preserve their sexual function if they could, they did not want to spend a great deal of money for it.

From Calculation to Communication: Using Risk Score Calculators to Inform Clinical Decision Making and Facilitate Patient Engagement.

BACKGROUND: Risk score calculators are a widely developed tool to support clinicians in identifying and managing risk for certain diseases. However, little is known about physicians' applied experiences with risk score calculators and the role of risk score estimates in clinical decision making and patient communication. METHODS: Physicians providing care in outpatient community-based clinical settings (N = 20) were recruited to participate in semi-structured individual interviews to assess their use of risk score calculators in practice. Two study team members conducted an inductive thematic analysis using a consensus-based coding approach. RESULTS: Participants referenced at least 20 risk score calculators, the most common being the Atherosclerotic Cardiovascular Disease Risk Calculator. Ecological factors related to the clinical system (e.g., time), patient (e.g., receptivity), and physician (e.g., experience) influenced conditions and patterns of risk score calculator use. For example, compared with attending physicians, residents tended to use a greater variety of risk score calculators and with higher frequency. Risk score estimates were generally used in clinical decision making to improve or validate clinical judgment and in patient communication to serve as a motivational tool. CONCLUSIONS: The degree to which risk score estimates influenced physician decision making and whether and how these scores were communicated to patients varied, reflecting a nuanced role of risk score calculator use in clinical practice. The theory of planned behavior can help explain how attitudes, beliefs, and norms shape the use of risk score estimates in clinical decision making and patient communication. Additional research is needed to evaluate best practices in the use of risk score calculators and risk score estimates. HIGHLIGHTS: The risk score calculators and estimates that participants referenced in this study represented a range of conditions (e.g., heart disease, anxiety), levels of model complexity (e.g., probability calculations, scales of severity), and output formats (e.g., point estimates, risk intervals).Risk score calculators that are easily accessed, have simple inputs, and are trusted by physicians appear more likely to be used.Risk score estimates were generally used in clinical decision making to improve or validate clinical judgment and in patient communication to serve as a motivational tool.Risk score estimates helped participants manage the uncertainty and complexity of various clinical situations, yet consideration of the limitations of these estimates was relatively minimal.Developers of risk score calculators should consider the patient- (e.g., response to risk score estimates) and physician- (e.g., training status) related characteristics that influence risk score calculator use in addition that of the clinical system.

The impact of a web-based prognostic calculator on prognostic confidence in outpatient palliative care.

PURPOSE: Clinicians are often uncertain about their prognostic estimates, which may impede prognostic communication and clinical decision-making. We assessed the impact of a web-based prognostic calculator on physicians' prognostic confidence. METHODS: In this prospective study, palliative care physicians estimated the prognosis of patients with advanced cancer in an outpatient clinic using the temporal, surprise, and probabilistic approaches for 6 m, 3 m, 2 m, 1 m, 2 w, 1 w, and 3 d. They then reviewed information from www.predictsurvival.com , which calculated survival estimates from seven validated prognostic scores, including the Palliative Prognostic Score, Palliative Prognostic Index, and Palliative Performance Status, and again provided their prognostic estimates after calculator use. The primary outcome was prognostic confidence in temporal CPS (0-10 numeric rating scale, 0 = not confident, 10 = most confident). RESULTS: Twenty palliative care physicians estimated prognoses for 217 patients. The mean (standard deviation) prognostic confidence significantly increased from 5.59 (1.68) before to 6.94 (1.39) after calculator use (p < 0.001). A significantly greater proportion of physicians reported feeling confident enough in their prognosis to share it with patients (44% vs. 74%, p < 0.001) and formulate care recommendations (80% vs. 94%, p < 0.001) after calculator use. Prognostic accuracy did not differ significantly before or after calculator use, ranging from 55-100%, 29-98%, and 48-100% for the temporal, surprise, and probabilistic approaches, respectively. CONCLUSION: This web-based prognostic calculator was associated with increased prognostic confidence and willingness to discuss prognosis. Further research is needed to examine how prognostic tools may augment prognostic discussions and clinical decision-making.

Co-creation and evaluation of an algorithm for the development of a mobile application for wound care among new graduate nurses: A mixed methods study.

Chronic wounds are a growing concern due to aging populations, sedentary lifestyles and increasing rates of obesity and chronic diseases. The impact of such wounds is felt worldwide, posing a considerable clinical, environmental and socioeconomic challenge and impacting the quality of life. The increasing complexity of care requires a holistic approach, along with extensive knowledge and skills. The challenge experienced by health-care professionals is particularly significant for newly graduate nurses, who face a gap between theory and practice. Digital tools, such as mobile applications, can support wound care by facilitating more precise assessments, early treatment, complication prevention and better outcomes. They also aid in clinical decision-making and improve healthcare delivery in remote areas. Several mobile applications have emerged to enhance wound care. However, there are no applications dedicated to newly graduate nurses. The aim of this study was to co-create and evaluate an algorithm for the development of a wound care mobile application supporting clinical decisions for new graduate nurses. The development of this mobile application is envisioned to improve knowledge application and facilitate evidence-based practice. This study is part of a multiphase project that adopted a pragmatic epistemological approach, using the 'Knowledge-to-Action' conceptual model and Duchscher's Stages of Transition Theory. Following a scoping review, an expert consensus, and stakeholder meetings, this study was pursued through a sequential exploratory mixed methods design carried out in two phases. In the initial phase, 21 participants engaged in semi-structured focus groups to explore their needs regarding clinical decision support in wound care, explore their perceptions of the future mobile application's content and identify and categorize essential components. Through descriptive analysis, five overarching themes emerged, serving as guiding principles for conceptual data model development and refinement. These findings confirmed the significance of integrating a comprehensive glossary complemented by photos, ensuring compatibility between the mobile application and existing documentation systems, and providing quick access to information to avoid burdening work routines. Subsequently, the algorithm was created from the qualitative data collected. The second phase involved presenting an online SurveyMonkey® questionnaire to 34 participants who were not part of the initial phase to quantitatively measure the usability of this algorithm among future users. This phase revealed very positive feedback regarding the usability [score of 6.33 (±0.19) on a scale of 1-7], which reinforces its quality. The technology maturation process can now continue with the development of a prototype and subsequent validation in a laboratory setting.

Exploring the Utility of the Modified Hospitalized-Patient One-Year Mortality Risk Score to Trigger Referrals to Palliative Care for Inpatients With Cancer.

BACKGROUND: Estimating prognosis can be a barrier to timely palliative care involvement. The modified Hospitalized-patient One-year Mortality Risk (mHOMR) score uses hospital admission data to calculate the risk of death within 12 months and may be a useful tool to trigger a referral to palliative care. METHODS: The mHOMR tool was retrospectively applied to consecutive acute admissions to a quaternary cancer center in Toronto, Canada from March 1 to May 31, 2018. The study aimed to investigate the association between dichotomized mHOMR scores (the cohort median score of 0.27 and the developer-recommended score of 0.21) and the risk of death, and whether these could be used to identify patients who may benefit from timely palliative care involvement. RESULTS: Of 269 inpatients, 87 were elective admissions and excluded from further analyses. At the median mHOMR score of 0.27, 91/182 patients (50%) were categorized as high-risk of death within 12 months (mHOMR+), 53 (58%) were referred to palliative care. At the lower cut-off of 0.21, 103 patients were mHOMR+, of whom 57 (55.3%) were referred to palliative care. The higher mHOMR was significantly associated with mortality (29.7% mHOMR- vs. 39.8% mHOMR+ at 12 months, log-rank p < 0.05). The association between the developer-recommended mHOMR cut-off (≥ 0.21) and mortality was not significant (p = 0.15). CONCLUSIONS: A higher mHOMR score was significantly associated with the risk of mortality in patients with advanced cancer. However, the developer-recommended mHOMR cut-off of 0.21 failed to identify a statistically significant difference between patients with advanced cancer at low versus high scores. While mHOMR may be a useful tool to augment clinical judgment and identify inpatients with advanced cancer at high risk of death, who in turn may benefit from referral to palliative care, the optimal mHOMR cutoff may warrant adjustment for this population.

Identifying psychosocial and contextual markers considered by physicians to personalize care.

BACKGROUND: The objective of the study was to identify the psychosocial and contextual markers considered by physicians to personalize care. METHODS: An online questionnaire with one open-ended question, asking physicians to describe clinical situations in which they personalized care, was used. Physicians were recruited from March 31, 2023, to August 10, 2023, from three hospitals, five university departments of general practice and six physician organizations in France. Recruitment was conducted through email invitations, with participants encouraged to invite their colleagues via a snowball sampling method. The participants were a diverse sample of French general practitioners and other medical specialists who see patients in consultations or in hospital wards. We extracted the psychosocial and contextual markers considered by physicians to personalize care in each clinical situation. The analysis involved both manual and AI-assisted content analysis using GPT3.5-Turbo (OpenAI). Mathematical models to assess data saturation were used to ensure that a comprehensive list of markers was identified. RESULTS: In total, 1340 people connected to the survey platform and 1004 (75.0%) physicians were eligible for the study (median age 39 years old, IQR 34 to 50; 60.5% women; 67.0% working in outpatient settings), among whom 290 answered the open-ended question. The participants reported 317 clinical situations during which they personalized care. Personalization was based on the consideration of 40 markers: 27 were related to patients' psychosocial characteristics (e.g., patient capacity, psychological state, beliefs), and 13 were related to circumstances (e.g., competing activities, support network, living environment). The data saturation models showed that at least 97.0% of the potential markers were identified. Manual and AI-assisted content analysis using GPT3.5-Turbo were concordant for 89.9% of clinical situations. CONCLUSIONS: Physicians personalize care to patients' contexts and lives using a broad range of psychosocial and contextual markers. The effect of these markers on treatment engagement and effectiveness needs to be evaluated in clinical studies and integrated as tailoring variables in personalized interventions to build evidence-based personalization.

Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach.

BACKGROUND: Learning policies for decision-making, such as recommending treatments in clinical settings, is important for enhancing clinical decision-support systems. However, the challenge lies in accurately evaluating and optimizing these policies for maximum efficacy. This paper addresses this gap by focusing on two key aspects of policy learning: evaluation and optimization. METHOD: We develop counterfactual policy learning algorithms for practical clinical applications to suggest viable treatment for patients. We first design a bootstrap method for counterfactual assessment and enhancement of policies, aiming to diminish uncertainty in clinical decisions. Building on this, we introduce an innovative adversarial learning algorithm, inspired by bootstrap principles, to further advance policy optimization. RESULTS: The efficacy of our algorithms was validated using both semi-synthetic and real-world clinical datasets. Our method outperforms baseline algorithms, reducing the variance in policy evaluation by 30% and the error rate by 25%. In policy optimization, it enhances the reward by 1% to 3%, highlighting the practical value of our approach in clinical decision-making. CONCLUSION: This study demonstrates the effectiveness of combining bootstrap and adversarial learning techniques in policy learning for clinical decision support. It not only enhances the accuracy and reliability of policy evaluation and optimization but also paves avenues for leveraging advanced counterfactual machine learning in healthcare.

Minimizing the Risk of Diagnostic Errors in Acute Care for Older Adults: An Interdisciplinary Patient Safety Challenge.

Modern healthcare systems are increasingly organized according to diagnosis-specific clinical pathways and treatment protocols. At the same time, the number of patients with complex problems and needs that do not fit the single-diagnosis approach is rising, contributing to a high prevalence of diagnostic errors. In this article, we focus on the risk of diagnostic errors arising from missed or incomplete diagnosis and assessment of older adult patients' care needs in the first hours of acute hospitalizations in EDs. This focus is important for improving patient safety, as clinical decisions made in EDs impact patient safety in the subsequent steps of the process, thereby potentially causing new risks to arise. Based on our discussion of clinical decision-making and diagnostic errors in the acute care context, we propose a more comprehensive interdisciplinary approach to improvements in patient safety that integrates organizational and clinical research and examines where, when, how, and why risks to patient safety arise in and across different clinical-organizational contexts.

Impact of bedaquiline resistance probability on treatment decision for rifampicin-resistant TB.

BACKGROUND: Accurate diagnosis of bedaquiline (BDQ) resistance remains challenging. A Bayesian approach expresses this uncertainty as a probability of BDQ resistance (prBDQR) with a 95% credible interval. We investigated how prBDQR information influences BDQ prescribing decisions. METHOD: We performed a discrete choice experiment with 55 international rifampicin-resistant tuberculosis physicians. We employed mixed-effects multinomial logistic regression to quantify the effect of prBDQR, patient attributes, and contextual factors on the decision to continue BDQ or not when sequencing results become available. RESULTS: PrBDQR was the most influential factor for BDQ decision-making, three times greater than treatment response. Each percentage point increase in prBDQR resulted in 8.2% lower odds (OR 0.92, 95% CI 0.90-0.93) of continuing BDQ as a fully effective drug and 5.0% lower odds (OR 0.95, 95% CI 0.94-0.96) of continuing it but not counting it as an effective drug. The most favourable patient profile for prescribing BDQ as a fully effective drug was a patient receiving the BPaLM regimen (BDQ, pretomanid, linezolid and moxifloxacin) with low prBDQR, good 1-month treatment response, fluoroquinolone-susceptible TB, and no prior BDQ treatment. Physicians with higher discomfort with uncertainty and more years of experience with BDQ were more inclined to stop BDQ. CONCLUSION: Given the uncertainty of genotype-phenotype associations, physicians valued prBDQR for BDQ decision-making in rifampicin-resistant TB treatment.

CONTEXTE: Le diagnostic précis de la résistance à la bédaquiline (BDQ) reste difficile. Une approche bayésienne exprime cette incertitude sous la forme d'une probabilité de résistance au BDQ (prBDQR) avec un intervalle de crédibilité à 95%. Nous avons étudié comment les informations prBDQR influencent les décisions de prescription de BDQ. MÉTHODE: Nous avons réalisé une expérience à choix discret auprès de 55 médecins internationaux spécialisés dans la TB résistante à la rifampicine. Nous avons utilisé une régression logistique multinomiale à effets mixtes pour quantifier l'effet du prBDQR, des attributs du patient et des facteurs contextuels sur la décision de poursuivre ou non le BDQ lorsque les résultats du séquençage sont disponibles. RÉSULTATS: La prBDQR a été le facteur le plus influent dans la prise de décision en matière de BDQ, trois fois plus importante que la réponse au traitement. Chaque augmentation d'un point de pourcentage du prBDQR a entraîné une baisse de 8,2% des probabilités (RC 0,92 ; IC à 95% 0,90­0,93) de poursuivre le BDQ en tant que médicament pleinement efficace et une baisse de 5,0% des probabilités (RC 0,95 ; IC à 95% 0,94­0,96) de le poursuivre mais de ne pas le compter comme un médicament efficace. Le profil de patient le plus favorable à la prescription de BDQ en tant que médicament pleinement efficace était celui d'un patient recevant le régime BPaLM (BDQ, pretomanid, linezolid et moxifloxacin) avec un faible prBDQR, une bonne réponse au traitement à 1 mois, une tuberculose sensible aux fluoroquinolones et aucun traitement antérieur par BDQ. Les médecins présentant un plus grand malaise face à l'incertitude et plus d'années d'expérience avec la BDQ étaient plus enclins à arrêter la BDQ. CONCLUSION: Compte tenu de l'incertitude des associations génotype-phénotype, les médecins ont valorisé prBDQR pour la prise de décision BDQ dans le traitement de la TB RR.

Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study.

Objective: Bipolar Disorder (BD) is a severe mental illness associated with high rates of general medical comorbidity, reduced life expectancy, and premature mortality. Although BD has been associated with high medical hospitalization, the factors that contribute to this risk remain largely unexplored. We used baseline medical and psychiatric records to develop a supervised machine learning model to predict general medical admissions after discharge from psychiatric hospitalization. Methods: In this retrospective three-year cohort study of 71 patients diagnosed with BD (mean age=52.19 years, females=56.33%), lasso regression models combining medical and psychiatric records, as well as those using them separately, were fitted and their predictive power was estimated using a leave-one-out cross-validation procedure. Results: The proportion of medical admissions in patients with BD was higher compared with age- and sex-matched hospitalizations in the same region (25.4% vs. 8.48%). The lasso model fairly accurately predicted the outcome (area under the curve [AUC]=69.5%, 95%C.I.=55-84.1; sensitivity=61.1%, specificity=75.5%, balanced accuracy=68.3%). Notably, pre-existing cardiovascular, neurological, or osteomuscular diseases collectively accounted for more than 90% of the influence on the model. The accuracy of the model based on medical records was slightly inferior (AUC=68.7%, 95%C.I. = 54.6-82.9), while that of the model based on psychiatric records only was below chance (AUC=61.8%, 95%C.I.=46.2-77.4). Conclusion: Our findings support the need to monitor medical comorbidities during clinical decision-making to tailor and implement effective preventive measures in people with BD. Further research with larger sample sizes and prospective cohorts is warranted to replicate these findings and validate the predictive model.

Investigating clinical decision-making in bleeding complications among nursing students: A longitudinal mixed-methods study.

AIM: To describe undergraduate nursing students' clinical decision-making in post-procedural bleeding scenarios and explore the changes from the first to the final year of their program. BACKGROUND: Bleeding is a common complication following invasive procedures and its effective management requires nurses to develop strong clinical decision-making competencies. Although nursing education programs typically address bleeding complications, there is a gap in understanding how nursing students make clinical decisions regarding these scenarios. Additionally, little is known about how their approach to bleeding management evolves over the course of their education. DESIGN: Longitudinal mixed-methods study based on the Recognition-Primed Decision Model. METHODS: A total of 59 undergraduate students recorded their responses to two clinical decision-making vignettes depicting patients with signs of bleeding post-hip surgery (first year) and cardiac catheterization (final year). Their responses were analyzed using content analysis. The resulting categories capture the cues students noticed, the goals they aimed to achieve, the actions they proposed and their expectations for how the bleeding situations might unfold. Code frequencies showing the most variation between the first and final years were analyzed to explore changes in students' clinical decision-making. RESULTS: Nearly all students focused on two primary categories: 'Bleeding' and 'Instability and Shock.' Fewer students addressed six secondary categories: 'Stress and Concern,' 'Pain,' 'Lifestyle and Social History,' 'Wound Infection,' 'Arrhythmia,' and 'Generalities in Surgery.' Students often concentrated on actions to manage bleeding without further assessing its causes. Changes from the first to the final year included a more focused assessment of instability and shifts in preferred actions. CONCLUSIONS: This study reveals that nursing students often prioritize immediate actions to stop bleeding while sometimes overlooking the assessment of underlying causes or broader care goals. It suggests that concept-based learning and reflection on long-term outcomes could improve clinical decision-making in post-procedural care.