Clinical Care Research Articles

Artificial intelligence and machine learning in disorders of consciousness

Purpose of review As artificial intelligence and machine learning technologies continue to develop, they are being increasingly used to improve the scientific understanding and clinical care of patients with severe disorders of consciousness following acquired brain damage. We here review recent studies that utilized these techniques to reduce the diagnostic and prognostic uncertainty in disorders of consciousness, and to better characterize patients’ response to novel therapeutic interventions. Recent findings Most papers have focused on differentiating between unresponsive wakefulness syndrome and minimally conscious state, utilizing artificial intelligence to better analyze functional neuroimaging and electroencephalography data. They often proposed new features using conventional machine learning rather than deep learning algorithms. To better predict the outcome of patients with disorders of consciousness, recovery was most often based on the Glasgow Outcome Scale, and traditional machine learning techniques were used in most cases. Machine learning has also been employed to predict the effects of novel therapeutic interventions (e.g., zolpidem and transcranial direct current stimulation). Summary Artificial intelligence and machine learning can assist in clinical decision-making, including the diagnosis, prognosis, and therapy for patients with disorders of consciousness. The performance of these models can be expected to be significantly improved by the use of deep learning techniques.

The relationship between moral distress and clinical care quality among nurses: an analytical cross-sectional study

BackgroundNurses constitute the largest group of service providers in the healthcare system and significantly influence the quality of healthcare services. Factors such as ethical considerations may be related to the quality of care. This study aimed to determine the relationship between moral distress and the quality of clinical care among nurses working in Gonabad, Iran.MethodsAn analytical cross-sectional study was conducted on 252 nurses working in emergency, internal medicine, surgery, psychiatry, critical care and maternity wards at Allameh Bohlool Hospital from May to July 2023. This research used demographic information questionnaire, the revised Moral Distress Scale (MDS-R), and the Quality Patient Care Scale (QUALPAC). The significance level for the study was set at p < 0.05.ResultsThere was a significant relationship between the frequency of moral distress and the quality of clinical care (p = 0.032), as well as between the intensity of moral distress and the quality of clinical care (p = 0.043). Nurses who experienced moral distress more frequently and intensely provided better quality care. However, there was no significant relationship between the effect of moral distress and the quality of clinical care (r = 0.032, p = 0.619). Additionally, a significant statistical relationship was found between the intensity of moral distress and the physical dimension of clinical care quality (r = 0.171, p = 0.007), indicating that increased moral distress intensity was associated with higher quality of physical care.ConclusionsNurses who experience higher levels of moral distress, both in terms of frequency and intensity, perform better in the care they provide and deliver it in the best possible manner, particularly in the physical dimension of care.

Killing Two Birds with One Stone: Mandatory Therapy and the Prevention of Sex Crime in France.

This paper considers the development of new clinical and medical practices in the early 2000s in France, after the adoption of legal reforms aiming at the prevention of sexual infractions and the protection of minors. The paper explains how the reform led to the creation of a new form of punishment for sexual offenders, l'obligation de soin (therapeutic obligation), which can be described as long-term mandatory therapeutic monitoring. This paper offers an analysis of the implementation of this measure from the standpoint of the specialized mental health care unit which were entrusted the mission of caring for the new group of convicted patients, i.e., patients sentenced to undergo mandatory therapy, after this legal reform. In the new regime these mandatory therapies created, clinicians are tasked to combine their conventional mission of care for the patient in the present, with the judicial mandate of detecting and preventing the patient's relapse qua recidivism in the future. Mobilizing ethnographic examples that evidence the way clinical care comes to encompass a penal mandate of long-term surveillance of convicted patients, I argue that the dual injunction of procuring care while preventing relapse-recidivism constrains the psychodynamic forms of clinical intervention deployed by French clinicians, realigns both psychiatric and clinical interventions along penal lines, and revives interest in some of the diagnostic categories and aims of criminal psychiatry which were important for the development of psychiatry in France.

Proof-of-concept study of a small language model chatbot for breast cancer decision support – a transparent, source-controlled, explainable and data-secure approach

PurposeLarge language models (LLM) show potential for decision support in breast cancer care. Their use in clinical care is currently prohibited by lack of control over sources used for decision-making, explainability of the decision-making process and health data security issues. Recent development of Small Language Models (SLM) is discussed to address these challenges. This preclinical proof-of-concept study tailors an open-source SLM to the German breast cancer guideline (BC-SLM) to evaluate initial clinical accuracy and technical functionality in a preclinical simulation.MethodsA multidisciplinary tumor board (MTB) is used as the gold-standard to assess the initial clinical accuracy in terms of concordance of the BC-SLM with MTB and comparing it to two publicly available LLM, ChatGPT3.5 and 4. The study includes 20 fictional patient profiles and recommendations for 5 treatment modalities, resulting in 100 binary treatment recommendations (recommended or not recommended). Statistical evaluation includes concordance with MTB in % including Cohen’s Kappa statistic (κ). Technical functionality is assessed qualitatively in terms of local hosting, adherence to the guideline and information retrieval.ResultsThe overall concordance amounts to 86% for BC-SLM (κ = 0.721, p < 0.001), 90% for ChatGPT4 (κ = 0.820, p < 0.001) and 83% for ChatGPT3.5 (κ = 0.661, p < 0.001). Specific concordance for each treatment modality ranges from 65 to 100% for BC-SLM, 85–100% for ChatGPT4, and 55–95% for ChatGPT3.5. The BC-SLM is locally functional, adheres to the standards of the German breast cancer guideline and provides referenced sections for its decision-making.ConclusionThe tailored BC-SLM shows initial clinical accuracy and technical functionality, with concordance to the MTB that is comparable to publicly-available LLMs like ChatGPT4 and 3.5. This serves as a proof-of-concept for adapting a SLM to an oncological disease and its guideline to address prevailing issues with LLM by ensuring decision transparency, explainability, source control, and data security, which represents a necessary step towards clinical validation and safe use of language models in clinical oncology.

Impact of Head and Neck Multidisciplinary Clinic on Treatment Package Time During 2 Years of the COVID-19 Pandemic: A Single-Institution Experience.

Prolongation of treatment package time is strongly associated with inferior oncologic outcomes. We examine the effect of creation of a multidisciplinary head and neck clinic on treatment package times. This was a retrospective cohort study evaluating treatment package time in patients receiving adjuvant radiation through a multidisciplinary clinic compared with standard clinics at a single academic institution between 7/31/2020 and 7/31/2022. Adjuvant radiotherapy was administered to 23 patients in multidisciplinary clinic, 68 patients in standard clinic and 17 patients in satellite clinics. Patients seen in multidisciplinary clinic began adjuvant radiation sooner (median 35 vs 41 vs 48 days, p=0.01) with more compact treatment package times (median 78 vs 84 vs 86 days, p=0.003). Nine patient (13%) in standard clinics and 4 patients (24%) at the satellite clinics had adjuvant treatment package times exceeding 100 days. No patient seen in multidisciplinary clinic had treatment package times exceeding 100 days. Colocalization of radiation oncology and otolaryngology care in multidisciplinary clinic substantially improved time to postoperative radiotherapy and treatment package times. This is likely due to the identification of patients requiring adjuvant radiation earlier in their clinical presentation which in turn allowed for advanced planning and minimization of delays in initiation of adjuvant radiation.

Interdisciplinary multimodal pain therapy: does the dose make adifference? : Acomparison from routine clinical care

Interdisciplinary multimodal pain therapy (IMPT) is an established treatment for patients with severe chronic pain. Little evidence is available on the role of treatment dosage and, in particular, on the association between the duration of IMPT and treatment outcome. The aim of this retrospective study was to compare the medium-term treatment success of ashort inpatient (SIT, 1week) and along outpatient (LOT, 4weeks) IMPT with acomparable treatment concept and comparable therapy intensity (20 h/week) in patients with severe chronic pain. Patients in both groups completed the German Pain Questionnaire at the beginning and end of IMPT as well as after 3months. Primary outcome measures included pain-related impairment and average pain intensity at follow-up in patients of comparable sex, age as well as pain intensity and impairment at the beginning of the therapy. While both groups initially showed significant treatment effects in pain-related impairment and average pain intensity, LOT patients (n = 32) reported significantly better values in both variables at 3‑month follow-up compared with SIT patients (n = 32). This was due to sustained positive effects in LOT patients and worsening in the SIT group. The results indicate that initial treatment effects can be observed in both treatment settings, but alonger duration of therapy seems to favour the long-term stability of treatment effects.

Outcomes of adolescent children with severe cardiogenic shock referred for extracorporeal membrane oxygenation: insight from collaboration of adult shock team and paediatric cardiac critical care.

Adolescents with severe cardiogenic shock can present to both paediatric and adult centres. We present six adolescent children who had extracorporeal membrane oxygenation consultation fast-tracked with clinical care input from the adult multidisciplinary team, including interhospital transfers on extracorporeal membrane oxygenation. After recovery on conventional cardiogenic shock care or extracorporeal membrane oxygenation, or bridge to transplant, all had favourable neurologic outcome.

Hyperkalemia and maintenance of renin-angiotensin system inhibitor therapy after initiating SGLT-2 or DPP-4 inhibitors.

Post-hoc analyses of clinical trials suggest that sodium-glucose cotransporter-2 inhibitors (SGLT-2i) lower the risk of hyperkalemia and facilitate the use of renin-angiotensin system inhibitors (RASi) in people with type 2 diabetes. Whether this is also observed in routine care is unclear. We investigated whether SGLT-2i lowered the risk of hyperkalemia and RASi discontinuation as compared to dipeptidyl peptidase 4 inhibitors (DPP-4i). Using the target trial emulation framework, we studied adults with type 2 diabetes (T2D) who started SGLT-2i or DPP-4i in Stockholm, Sweden (2014-2021). The outcomes were incident hyperkalaemia (potassium>5.0 mmol/L), mild hyperkalemia (potassium>5-≤5.5mmol/L) and moderate to severe hyperkalemia (potassium>5.5mmol/L). Among RASi users, we studied time to RASi discontinuation through evaluation of pharmacy fills. Cox regression with inverse probability of treatment weighting was used to estimate per-protocol hazard ratios (HRs). 29 849 individuals (15 326 SGLT-2i and 14 523 DPP-4i initiators) were included (mean age 66 years, 37% women). About one third of participants in each arm discontinued treatment within a year. Compared with DPP-4i, SGLT-2i use was associated with a lower rate of hyperkalemia (HR 0.77; 95% CI: 0.64-0.93), including both mild (0.76; 0.62-0.93) and moderate/severe (0.53; 0.40-0.69) hyperkalemia events. Of 19.116 participants that used RASi at baseline, 7% discontinued therapy. Initiation of SGLT-2i vs. DPP-4i was not associated with the rate of RASi discontinuation (0.97; 0.83-1.14). Results were consistent in intention-to-treat analyses and across strata of age, sex, cardiovascular comorbidity, and baseline kidney function. In patients with diabetes managed in routine clinical care, the use of SGLT-2i was associated with lower rates of hyperkalemia compared with DPP-4i. Possibly because of a relatively high rate of treatment discontinuations, this was not accompanied by higher persistence on RASi therapy.

County-level racial bias is associated with worse care for white and especially black older US adults: a cross-sectional observational study

ObjectiveTo assess the association of county-level bias about black and white people with patient experience, influenza immunisation, and quality of clinical care for black and white older US adults (age...

Collaboration between registered dietitians and gastroenterologists in cystic fibrosis care: Results of an international cross-sectional survey.

Collaboration between registered dietitians and gastroenterologists has not been evaluated in cystic fibrosis (CF). We surveyed registered dietitians and gastroenterologists regarding the current participation of gastroenterologists in CF centers and identified possible areas to enhance partnership between the two disciplines. An anonymous online survey was distributed targeting registered dietitians and gastroenterologists involved in CF care through three international listservs (CF Nutrition, CF DIGEST, and PEDGI) over a 6-week period. SurveyMonkey was used, and informed consent was obtained. A total of 131 respondents participated in this survey, including 80 registered dietitians and 51 gastroenterologists (41 pediatric and 10 adult gastroenterologists). Most respondents (82%) were from the United States, and two-thirds had ≥5 years of experience in CF. A significant number of registered dietitians reported the nonavailability of gastroenterologists for collaboration and there was greater availability of gastroenterologists in pediatric centers. Barriers to interdisciplinary collaboration included lack of CF expertise and dedicated time among the gastroenterologists and difficulties in coordinating the gastroenterology clinics. More gastroenterologists than registered dietitians perceived that they worked collaboratively with the other discipline in various domains (clinical care, quality improvement, research, presentations, and publications). Both disciplines had mutual respect and interest to further the collaboration. There is an increased need for gastroenterologist participation and collaboration (particularly in adult centers) in CF alongside registered dietitians to enhance comprehensive patient care. Future efforts should focus on training more gastroenterologists in CF and facilitating easier access to gastroenterologists for the CF population.

. The significance of serum sST2 and cfDNA in children with severe pneumonia complicated by myocardial damage

Objective: The paper aimed to explore the significance of serum sST2 and cfDNA to prevent atrial inflammation in children with severe pneumonia complicated by myocardial damage. Methods: 120 children with severe pneumonia complicated by myocardial damage who were treated in the Children's Department of the author's hospital from April 2021 to December 2023 were recruited as research subjects. The children were randomly divided into two groups, one group of 60 children received personalized care intervention based on serum sST2 and cfDNA (personalized care group), and the other group of 60 children received routine care (routine care group). The clinical data of the two groups of patients were compared. The changes in serum sST2 and cfDNA levels of patients were compared before and after care. ELISA kits were used to test atrial inflammation marker levels before and after patient care. The patient's cardiac function was assessed through cardiac ultrasound. the nursing intervention effects of the two groups was compared. The patient satisfaction with nursing care was compared between the two groups. Results: There was no distinction in the general record of the two groups (P&gt;0.05). Before care, there was no distinction in serum sST2 and cfDNA levels between the two groups (P&gt;0.05). After care, the serum sST2 and cfDNA levels in the personalized care group were lower than those in the routine care group (P&lt;0.05). There was no difference in CRP, cTn, 1L-6 and TNF-α between the two groups before nursing (P&gt;0.05). After nursing, the levels of CRP, cTn, 1L-6 and TNF-α in personalized nursing were lower than those in the conventional nursing group (P&lt;0.05). Parameters such as EF and E/A in the personalized care group were higher than those in the routine care group (P&lt;0.05). The LVEDd and LVESd in the personalized care group were smaller than routine care group (P&lt;0.05). The improvement rate of cardiac function, remission rate of atrial inflammation and 6-month re-hospitalization rate in the personalized care group were lower than conventional care group (P&lt;0.05). The very satisfied rate in the personalized care group was higher than routine care group (P&lt;0.05), and the dissatisfaction rate in the personalized care group was lower than routine care group (P&lt;0.05). Conclusion: Personalized nursing intervention based on serum sST2 and cfDNA can significantly improve the cardiac function of children with severe pneumonia complicated by myocardial damage, reduce the levels of atrial inflammation markers, and advance the satisfaction of children and their families. These findings underscore the importance of applying serum sST2 and cfDNA monitoring in clinical care and the significant benefits of personalized care in preventing atrial inflammation, improving heart health, and improving patient quality of life.

Plant Extracellular Nanovesicle-Loaded Hydrogel for Topical Antibacterial Wound Healing In Vivo.

Bacterial infections impede wound healing and pose significant challenges in clinical care. There is an immediate need for safe and targeted antivirulence agents to fight bacterial infections effectively. In this regard, bioderived nanovesicles have shown significant promise. This work demonstrated significant antibacterial properties of extracellular nanovesicles derived from plant (mint) leaf juice (MENV). A hydrogel (HG) was developed using oxidized alginate and chitosan and loaded with antibacterial MENVs (MENV-HG). This formulation was investigated for topical HG dressings to treat Gram-positive Micrococcus luteus and Gram-negative Escherichia coli-invasive wounds. The developed HG was injectable, biocompatible (>95% cell was viable), nonhemolytic (<5% hemolytic capacity), self-healing and exhibited strong physical and mechanical interactions with the bacteria cells (MENV-HG-treated bacteria were significantly more elastic compared to the control in both M. luteus (1.01 ± 0.3 MPa, p < 0.005 vs 5.03 ± 2.6) and E. coli (5.81 ± 2.1 MPa vs 10.81 ± 3.8, p < 0.005). MENV-HG was topically applied on wounds with a slow MENV release profile, ensuring effective healing. These in vivo results demonstrated decreased inflammation and expedited healing within 10 days of treatment (wound area closure was 99% with MENV-HG treatment and 87% for control). Taken together, MENV-HGs have the potential for a scalable and sustainable wound dressing strategy that works satisfactorily for bacteria-infected wound healing and to be validated in clinical trials.

Process mapping with failure mode and effects analysis to identify determinants of implementation in healthcare settings: a guide.

Generating and analyzing process maps can help identify and prioritize barriers to the implementation of evidence-based practices in healthcare settings. Guidance on how to systematically apply and report these methods in implementation research is scant. We describe a method combining a qualitative approach to developing process maps with a quantitative evaluation of maps drawn from the quality improvement literature called failure mode and effects analysis (FMEA). We provide an outline and guidance for how investigators can use process mapping with FMEA to identify and prioritize barriers when implementing evidence-based clinical interventions. Suggestions for methods and reporting were generated based on established procedures for process mapping with FMEA and through review of original research papers which apply both methods in healthcare settings. We provide case examples to illustrate how this approach can be operationalized in implementation research. The methodology of process mapping with FMEA can be divided into four broad phases: 1) formulating a plan, 2) generating process maps to identify and organize barriers over time, 3) prioritizing barriers through FMEA, and 4) devising an implementation strategy to address priority barriers. We identified 14 steps across the four phases. Two illustrative examples are provided. Case 1 describes the implementation of referrals to chiropractic care for adults with low back pain in primary care clinics. Case 2 describes the implementation of a family navigation intervention for children with autism spectrum disorder seeking care in pediatric clinics. For provisional guidance for reporting, we propose the REporting Process mapping and Analysis for Implementation Research (REPAIR) checklist. Process mapping with FMEA can elucidate barriers and facilitators to successful implementation of evidence-based clinical interventions. This paper provides initial guidance for more systematic applications of this methodology in implementation research. Future research should use a consensus-building approach, such as a multidisciplinary Delphi panel, to further delineate the reporting standards for studies that use process mapping with FMEA.

Predictive model for the risk of paediatric intensive care utilization in children with medical complexity: A longitudinal retrospective cohort study.

Children with medical complexity (CMC) are at increased risk of admission in intensive care. Despite improvements in mortality rates, there remains a burden of morbidity, long-term health care needs and hospital readmissions. Beyond clinical factors, socio-demographic determinants could impact utilization of acute services. To identify risk factors that can differentiate CMC who are admitted to the paediatric intensive care unit (PICU). A 6-year longitudinal retrospective cohort study evaluated clinical, socio-demographic and health care utilization. A total of 248 CMC were included, with a median age of 13 years (9.75-17.00). Intensive care admission rate was 47.2%. The risk of PICU admission was higher for children undergoing surgical interventions (HR = 1.58, 95% CI 1.34-1.86, p < .001) and those using medical devices (HR = 1.81, 95% CI 1.54-2.13, p < .001). Mother's higher educational level was a protective factor (HR = 0.66, 95% CI 0.55-0.79, p < .001). Multivariable analysis revealed significant associations between risk of admission and the presence of malignancy, comorbidities, home medical devices, surgical procedures and higher health care utilization. Children's age and higher maternal educational level acted as protective factors. Socio-demographic factors should be considered in the provision of care to CMC. Individualized assessments to guide supportive interventions adapted to socio-economic factors may prevent PICU admissions. This study highlights the importance of integrating individualized assessments of socio-demographic risk factors, such as maternal educational level, into the clinical practice of paediatric nurses. Moreover, targeted interventions, including educational resources and community support programmes, may optimize care.

A clinical outcomes data archive for a comprehensive fetal diagnosis and treatment center.

Data on near and long-term outcomes are critical for the care of all maternal-fetal patients presenting to a fetal center. This is important since physiologic and neurodevelopmental attributes do not manifest until childhood when multi-level factors influence health outcomes. Electronic health records (EHR) documentation structures are not designed for acquisition of key attributes, and changes over time and between-clinician differences can affect resultant output. Therefore, EHR derived datasets have limited ability to accurately characterize the clinical presentation and care trajectory of patients with congenital anomalies. Moreover, the fetus lacks a digital identity and requires relinking attributes documented in the maternal chart to those in the pediatric EHR. This conundrum amplifies in the setting of multiple gestation, returning maternal patients, and pregnancies with fetal demise. Current data systems result in incomplete abstraction of variables that may confound, mediate, or moderate critical associations. Our objective was to develop and implement a prospective data capture platform to transform EHR data into an analytic-grade database for multi-purpose use. A unified platform for longitudinal follow-up of maternal-child dyads named the Clinical Outcomes Data Archive (CODA) was constructed. CODA was designed using a data dictionary based on multidisciplinary input, a relational identity for each patient, fetus, and pregnancy, and a process by which EHR-sourced and chart-abstracted data are validated. Descriptive analyses were performed for data acquired between July 2022 - July 2023, and a comparison of studies before and after implementation of CODA is presented. 5,394,106 data points were validated for 7,662 patients across 12 conditions. 2% of data points were found to be unreliable or undocumented. 91% of data points were sourced from the EHR. 85% of condition-specific variables required manual chart abstraction. The study conducted with CODA contributed to 18 studies. CODA successfully merges EHR-sourced and manually abstracted documentation for longitudinal study of the maternal-child dyad.

LEAP! Rx: A randomized trial of a pragmatic approach to lifestyle medicine.

Clinicians lack the tools to incorporate physical activity into clinical care for Alzheimer's disease prevention. We tested a 52-week exercise and health education program (Lifestyle Empowerment for Alzheimer's Prevention [LEAP! Rx]) that integrates clinician referrals and community-based fitness resources. We randomized 219 participants to the LEAP! Rx (ie, exercise and monthly brain health education) or a standard-of-care control group and tested the effects on cardiorespiratory fitness, insulin resistance, body composition, lipids, and cognitive performance. Physicians were able to connect their patients to a community lifestyle intervention. The intervention group increased in cardiorespiratory fitness at 12 and 52 weeks (p=0.005). We observed no effects on secondary measures. Participants meeting 80% of weekly goals (150 min, moderate to vigorous activity) saw greater fitness improvements than those with less than 80% (p<0.001). These results hold promise for broad implementation of exercise interventions into larger healthcare systems and have implications for improved research recruitment strategies. NCT No. NCT03253341. Our community-based exercise program increased cardiorespiratory fitness. Our digital physician referral method increased the diversity of the participant sample. Our findings have implications for personalized dementia risk reduction strategies.

Radiomic Applications in Skull Base Pathology: A Systematic Review of Potential Clinical Uses

Objectives Radiomics involves the extraction and analysis of numerous quantitative features of medical imaging which can add more information from radiological images often beyond initial comprehension of a clinician. Unlike deep learning, radiomics allows some understanding of identified quantitative features for clinical prediction. We sought to explore the current state of radiomics applications in the skull base literature. Methods A systematic review of studies evaluating radiomics in skull base was performed, including those with and without machine-learning approaches. Studies were summarized into thematic elements as well as specific pathologies. Results A total of 102 studies with 26,280 radiographic images were included. The earliest radiomic study was published in 2017 with exponential growth in research since then. Most studies focused on tumor diagnosis (40.8%), followed by tumor prognosis (31.1%), automated segmentation (16.5%), other applications (7.8%), and lastly prediction of intraoperative features (3.9%). Pituitary adenomas (41.7%) and vestibular schwannomas (18.4%) represented the most commonly evaluated pathologies; however, radiomics could be applied to a heterogeneous collection of skull base pathologies. The average study included 258677 cases (range 4; 6755). Conclusion Radiomics offers many functions in treating skull base pathology and will likely be an essential component of future clinical care. Larger sample sizes, validation of predictive models, and clinical application are needed. Further investigation into the strengths and weaknesses of radiomic applications in skull base treatments is warranted.

Complete Digital Workflow for Manufacturing Presurgical Orthodontic Palatal Plates in Newborns and Infants with Cleft Lip and/or Palate

Deciding on the implementation or modification of steps in daily clinical care is a nuanced process that demands careful evaluation. This is crucial not only for selecting the most appropriate solution but also for achieving the best treatment outcome. Thus, implementing a workflow for treating cleft lip and/or palate patients with a presurgical orthodontic cleft-covering plate needs to consider objective factors, prioritized from most to least important: safety and quality level, user-friendliness, feasibility, and, finally, efficiency and cost. The goal of this workflow is to integrate CAD/CAM technologies into daily clinical routine to enhance technical and clinical efficiency, reduce the burden of cleft care, and simplify the implementation of these technologies in other facilities. To achieve this, a methodology based on intraoral scanning and additive manufacturing is employed to produce patient-specific passive palatal plates. The approach describes possible pitfalls and their resolution within the routine of a cleft centre, along with an exemplary case scenario. Comparative analysis between the digital workflow and the conventional process demonstrated the digital approach to be safer, higher in quality, more user-friendly, feasible, and cost- and time-effective than the conventional process.

The Cosmetic Readiness Questionnaire (CRQ): Validation of a Pre-Operative Psychological Screening Tool for Aesthetic Procedures.

Several psychological risk factors are associated with patient dissatisfaction with aesthetic procedures, such as body dysmorphic disorder (BDD), unmanaged mental health concerns or unrealistic expectations. Identifying these risks via preoperative screening may protect patients from adverse psychological outcomes and provide reputational or legal protection for practitioners. This study aimed to further develop and validate the Cosmetic Readiness Questionnaire (CRQ), a comprehensive psychological screening tool to assess patient suitability for surgical and non-surgical aesthetic procedures. The CRQ was validated across two studies in clinical contexts, examining structural and construct validity in a sample of 8031 individuals who completed the CRQ as part of routine clinical care. In a further sample (n = 574), criterion validity was explored through the relationship between the CRQ and dissatisfaction with past aesthetic treatments. Risk category cut-off scores were developed. Results supported the reliability and validity of a five-factor CRQ which measures Body Dysmorphia, Psychological Distress, Self-Criticism, Unrealistic Expectations and Lack of Openness. High scorers on the CRQ were 78% more likely to report dissatisfaction with a past cosmetic procedure than low scorers. The CRQ is a comprehensive and valid screening measure to identify patients who may require further psychological assessment or additional support prior to aesthetic treatment. Instructions are provided on how to implement the CRQ in clinical practice.

Electronic Clinical Decision Support Tools: Strategies to Improve the Management of Lower Respiratory Tract Infections in Low-Resource Settings.

Lower respiratory tract infection (LRTI) is a common reason for hospitalization and antibacterial use globally. There is considerable overlap in the clinical presentation of bacterial and viral LRTIs. Low- or middle-income countries (LMICs) face the dual challenge of appropriately targeting antibacterials for bacterial LRTI while reducing inappropriate antibacterials for viral LRTI. We propose a framework by which an electronic clinical decision support tool (eCDST) for diagnosing LRTI and reducing unnecessary antibacterial use may be developed, validated, and prospectively evaluated in an LMIC. The developed tool would be data driven, low-cost, feasible in the local setting, adaptable based on resource availability, and updated in real time, with prospective assessment to identify its clinical impact. We draw upon our team's recent experience developing an eCDST for LRTI management in Sri Lanka. Publicly sharing such processes and data is valuable, such that we can collectively improve clinical care in LMICs and other settings.