With the increasing rate of infections caused by multidrug-resistant organisms (MDRO), selecting appropriate empiric antibiotics has become challenging. We aimed to develop and externally validate a model for predicting the risk of MDRO infections in patients with cirrhosis.
METHODS: We included patients with cirrhosis and bacterial infections from two prospective studies: a transcontinental study was used for model development and internal validation (n = 1302), and a study from Argentina and Uruguay was used for external validation (n = 472). All predictors were measured at the time of infection. Both culture-positive and culture-negative infections were included. The model was developed using logistic regression with backward stepwise predictor selection. We externally validated the optimism-adjusted model using calibration and discrimination statistics and evaluated its clinical utility.
RESULTS: The prevalence of MDRO infections was 19% and 22% in the development and external validation datasets, respectively. The model\'s predictors were sex, prior antibiotic use, type and site of infection, MELD-Na, use of vasopressors, acute-on-chronic liver failure, and interaction terms. Upon external validation, the calibration slope was 77 (95% CI .48-1.05), and the area under the ROC curve was .68 (95% CI .61-.73). The application of the model significantly changed the post-test probability of having an MDRO infection, identifying patients with nosocomial infection at very low risk (8%) and patients with community-acquired infections at significant risk (36%).
CONCLUSIONS: This model achieved adequate performance and could be used to improve the selection of empiric antibiotics, aligning with other antibiotic stewardship program strategies.

UNASSIGNED: Emotional intelligence is a crucial factor in managing stress and maintaining overall well-being. Emotions are essential for clinical care quality, as they drive clinical decision making.
UNASSIGNED: The purpose of this study was to assess the relationship between emotional intelligence and clinical decision making among fourth-year nursing students.
UNASSIGNED: The study was a cross-sectional study done on a convenience sample of 225 fourth-year nursing students. Data collection was performed by the \"Schutte Self Report Emotional Intelligence Test\" (SSEIT) and the \"clinical decision making scale\".
UNASSIGNED: The analysis revealed that the emotional intelligence mean was 151.3 ± 1.9 (ranging from 33 to 165), which is high. The analysis indicated that the clinical decision making of the participants was high (177.1.3 ± 9.8) (ranging from 40 to 200). Also, the analysis showed that there was a strong positive relationship between nursing students\' emotional intelligence and clinical decision making (r = .70, p = 0.001). Furthermore, the findings revealed that emotional intelligence was a predictor of clinical decision making.
UNASSIGNED: The emotional intelligence and clinical decision making among fourth-year nursing students were high. Also, clinical decision making was found to have strong positive relationship with emotional intelligence.

OBJECTIVE: To explore and describe acute care nurses\' decisions to recognise and respond to improvement in patients\' clinical states as they occurred in the real-world clinical environment.
METHODS: A descriptive study.
METHODS: Nine medical and eleven surgical nurses in a large Australian metropolitan hospital were individually observed during nurse-patient interactions and followed up in interview to describe their reasoning and clinical judgements behind observed decisions. Verbal description of observations and interviews were recorded and transcribed. Reflexive thematic analysis was used to analyse the data.
RESULTS: The three themes constructed from the data were as follows: nurses checking in; nurses reaching judgements about improvements; and nurses deciding on the best person to respond. Acute care nurses made targeted assessment decisions based on predicted safety risks related to improvement in clinical states. Subjective and objective cues were used to assess for and make judgements about patient improvement. Acute care nurses\' judgment of patient safety and a desire to promote patient centred care guided their decisions to select the appropriate person to manage improvement.
CONCLUSIONS: The outcomes of this research have demonstrated that the proven safety benefits of acute care nurses\' decision making in response to deterioration extend to improvement in patients\' clinical states. In response to improvement, acute care nurses\' decisions protect patients from harm and promote recovery.
CONCLUSIONS: Early recognition and response to improvement enable acute care nurses to protect patients from risks of unnecessary treatment and promote recovery.
CONCLUSIONS: This study makes explicit nurses\' essential safety role in recognising and responding to improvement in patients\' clinical states. Healthcare policy and education must reflect the equal importance of assessment for and management of deterioration and improvement to ensure patients are protected and provided with safe care.

BACKGROUND: Markerless motion capture (MMC) uses video cameras or depth sensors for full body tracking and presents a promising approach for objectively and unobtrusively monitoring functional performance within community settings, to aid clinical decision-making in neurodegenerative diseases such as dementia.
OBJECTIVE: The primary objective of this systematic review was to investigate the application of MMC using full-body tracking, to quantify functional performance in people with dementia, mild cognitive impairment, and Parkinson disease.
METHODS: A systematic search of the Embase, MEDLINE, CINAHL, and Scopus databases was conducted between November 2022 and February 2023, which yielded a total of 1595 results. The inclusion criteria were MMC and full-body tracking. A total of 157 studies were included for full-text screening, out of which 26 eligible studies that met the selection criteria were included in the review. .
RESULTS: Primarily, the selected studies focused on gait analysis (n=24), while other functional tasks, such as sit to stand (n=5) and stepping in place (n=1), were also explored. However, activities of daily living were not evaluated in any of the included studies. MMC models varied across the studies, encompassing depth cameras (n=18) versus standard video cameras (n=5) or mobile phone cameras (n=2) with postprocessing using deep learning models. However, only 6 studies conducted rigorous comparisons with established gold-standard motion capture models.
CONCLUSIONS: Despite its potential as an effective tool for analyzing movement and posture in individuals with dementia, mild cognitive impairment, and Parkinson disease, further research is required to establish the clinical usefulness of MMC in quantifying mobility and functional performance in the real world.

UNASSIGNED: Mental state deterioration poses significant challenges in healthcare, impacting patients and providers. Symptoms like confusion and agitation can lead to prolonged hospital stays, increased costs, and the use of restrictive interventions. Despite its prevalence, there\'s a lack of consensus on effective practices for managing mental state deterioration in acute hospital settings. To address this gap, a rapid response team model has been proposed as a potential intervention, aiming to provide early identification and targeted interventions.
UNASSIGNED: Based on realist evaluation steps, first, initial program theories are formulated to understand the logic behind the intervention. Second, literature synthesis identifies empirical evidence on contexts, mechanisms, and outcomes elements, refining initial theories. During the third step, data will be collected using qualitative methods such as field observations and interviews, as well as quantitative methods such as surveys of the staff, audits of electronic medical records, and analysis of incident records of mental state deterioration. Analysing this data informs configurations of contexts, mechanisms, and outcomes. In the fifth step, the configurations are synthesised, presenting refined, evidence-informed program theories.
UNASSIGNED: This study addresses the knowledge gap by evaluating the rapid response model\'s effectiveness in managing mental state deterioration in acute hospital settings. Realist principles guide the exploration of causal mechanisms and their interaction with specific implementation contexts. The objective is to identify what works, for whom, and under what circumstances, aiming to manage deterioration, reduce restrictive interventions, and enhance the experience for patients and staff by implementing a proactive model of care. The findings contribute to evidence-based approaches for managing mental state deterioration in hospital settings, informing policy and practice in this crucial area of healthcare.

OBJECTIVE: Injury to the perineal tissues during childbirth is a frequent occurrence with most women likely to experience perineal injury during a first birth which, in some cases, can lead to significant long-term morbidity. The techniques used to minimise perineal injury are frequently termed \'hands on\' and \'hands poised\' or \'hands off\'. These terms are often undefined and used inconsistently in the literature, making it difficult to identify the best available evidence to inform midwifery practice.
OBJECTIVE: This study aimed to answer the research questions: What do midwives do to minimise perineal injury during birth and what influences their decision-making?
METHODS: An ethnographic study was undertaken during 2016 in a maternity unit in the southeast of England. Data were collected through participant-observation, ethnographic and semi-structured interviews and analysed using thematic analysis, informed by the pedagogic theory of threshold concepts.
RESULTS: 31 midwives participated in the study. Evidence-based decision-making to minimise perineal injury during birth was identified as a complex concept. Within the context of threshold concept theory, three main themes were identified that contributed to the complexity: troublesome language, troublesome knowledge, and troublesome environments.
CONCLUSIONS: Midwifery decision-making in the context of minimising perineal injury during birth is more varied and conceptually complex than has been previously described. Identification of the various aspects of troublesomeness in this context suggests that this element of practice is a midwifery threshold concept. Addressing this within midwifery curricula and practice education to enable evidence-based decision-making is important.

OBJECTIVE: The oral glucose tolerance test is the \'gold standard\' for detecting gestational diabetes in Australian and International guidelines. Test completion in regional, rural and remote regions may be as low as 50%. We explored challenges and enablers for regional, rural and remote antenatal clinicians providing gestational diabetes screening to better understand low oral glucose tolerance test completion.
METHODS: We conducted a qualitative descriptive study using semi-structured interviews. Participants eligible for the study were doctors or midwives providing antenatal care in regional, rural and remote Western Australia, between August 2019 and November 2020. Interviews were recorded digitally and transcribed into a Word document. We conducted a thematic analysis after initial categorisation and deduction of themes through workshops involving the research team.
RESULTS: We found a diversity of viewpoints on oral glucose tolerance test reliability for detecting gestational diabetes. Themes that emerged were; good collaboration between antenatal clinicians is required for successful screening; screening occurs throughout pregnancy using various tests; clinicians make significant efforts to address barriers; clinicians prioritise therapeutic relationships.
CONCLUSIONS: Effective universal screening for gestational diabetes in regional, rural and remote Western Australia is difficult and more complex in practice than guidelines imply. Detecting gestational diabetes requires creative solutions, early identification of at risk women and trust and collaboration between clinicians and women. SO WHAT?: Detection of gestational diabetes in regional, rural and remote Western Australia remains poorly completed. New strategies are required to adequately identify women at risk of adverse birth outcomes relating to hyperglycaemia in pregnancy.

OBJECTIVE: Drug sustainability (DS), a surrogate marker for drug efficacy, is important, especially when aiming for precision medicine. However, it lacks reliable prediction methods.
OBJECTIVE: To develop and externally validate a web-based artificial intelligence(AI)-derived tool for predicting DS of infliximab and vedolizumab in patients with moderate-to-severe Ulcerative Colitis (UC).
METHODS: Data from three Israeli centers included infliximab or vedolizumab patients treated for >54 weeks. Sustainability meant no corticosteroids, hospitalizations or surgeries. Machine learning techniques predicted >54-week and overall DS using baseline clinical data.
RESULTS: The model was developed using data from 246 patients from Rabin Medical Center and externally validated on 67 patients from Rambam Health Care Campus and Sheba Medical Center. No significant difference in DS was observed across the datasets. Most patients were biologic-naïve and primarily treated with vedolizumab. The model performed well, with an area under the ROC curve of 0.86, and showed good accuracy (65.5 %-76.9 %) across the test sets.
CONCLUSIONS: The study introduces a novel, AI-based tool for predicting >54-week DS of infliximab and vedolizumab in moderate-to-severe UC, using baseline parameters. This can aid clinical decision-making in the framework of precision medicine, promising to optimize disease management while maintaining physician autonomy.

OBJECTIVE: Approximately 60% of cancer survivors receiving neurotoxic chemotherapy experience chemotherapy-induced peripheral neuropathy (CIPN) (eg, hand and foot numbness, tingling, or pain). There is only one recommended pharmacological treatment (duloxetine) and one modestly beneficial nonpharmacological treatment (exercise) for CIPN. However, data suggest national guideline recommendations are not routinely practiced. Further, less is known about nurses\' CIPN management practices. The purpose of this convergent mixed methods study was to explore oncology clinicians\' self-reported practices and perceptions regarding CIPN prevention and management.
METHODS: Oncology clinicians at three cancer centers completed a survey about their recommendations for CIPN prevention and management in practice. A subset of clinicians also participated in a semi-structured interview to explore their perspectives of and motivations for implementing CIPN assessment, prevention, and management in practice. Quantitative data were described (eg, frequency or median) and qualitative data were analyzed using inductive content analysis.
RESULTS: This study (N = 44 survey responses; n = 9 interviews) resulted in four themes: (1) clinicians primarily recommend gabapentin for CIPN management and often observe cryotherapy used for CIPN prevention, but these interventions are complicated by discomfort, intolerable side effects, and efficacy concerns; (2) clinicians perceive CIPN as troublesome and desire additional information and resources regarding CIPN prevention and management; (3) CIPN-related education provided by clinicians may be limited by patient retention of the amount of education received about cancer treatment and other factors; (4) clinicians use subjective CIPN assessment to screen at each visit for common CIPN symptoms (eg, numbness or tingling) and the impact of symptoms on day-to-day activities.
CONCLUSIONS: Discrepancies persist between evidence-based guidelines on CIPN management and current oncology clinician practices.
CONCLUSIONS: Clinician involvement is needed when developing education and resources to help oncology clinicians provide the most evidence-based care to potentially prevent and manage their patients\' CIPN.

BACKGROUND: People with special health care needs in long-term care settings have difficulty accessing a traditional dental office. The goal of the authors was to assess initial treatment decision concordance between dentists conducting traditional in-person examinations using mobile equipment and additional dentists conducting examinations using asynchronous teledentistry technology.
METHODS: Six dentists from Access Dental Care, a North Carolina mobile dentistry nonprofit, saw new patients on-site at 12 participating facilities or asynchronously off-site with electronic dental records, radiographs, and intraoral images, all captured by an on-site dental hygienist. Off-site dentists were masked to other dentists\' treatment need decisions; 3 through 5 off-site examinations were conducted for each on-site examination. Demographic and binary treatment need category data were collected. For the 3 most prevalent treatment types needed (surgery, restorative, and new removable denture), the authors calculated the percentage agreement and κ statistics with bootstrapped CIs (1,000 replicates).
RESULTS: The 100 enrolled patients included 47 from nursing homes, 45 from Programs of All-Inclusive Care for the Elderly, and 8 from group homes for those with intellectual and developmental disabilities. Mean (SD) age was 73.9 (16.5) years. Among dentate participants, the percentage agreement and bootstrapped κ (95% CI) were 87% and 0.74 (0.70 to 0.78) for surgery and 78% and 0.54 (0.50 to 0.58) for restorative needs, respectively, and among dentate and edentulous participants, they were 94% and 0.78 (0.74 to 0.83), respectively, for new removable dentures.
CONCLUSIONS: The authors assessed the initial dental treatment decision concordance between on-site dentists conducting in-person examinations with a mobile oral health care delivery model and off-site dentists conducting examinations with asynchronous dentistry. Concordance was substantial for surgery and removable denture treatment decisions and moderate for restorative needs. Patient characteristics and facility type were not significant factors in the levels of examiner agreement.
CONCLUSIONS: This evidence supports teledentistry use for patients with special health care needs and could help improve their access to oral health care.