Decision-making about changing medications across transitions of care: Opportunities for enhanced patient and family engagement

BACKGROUND

Older patients often have complex medication regimens, which change as they move across transitions of care. Engagement of older patients and families in making medication decisions across transitions of care is important for safe and high-quality medication management.

AIMS

To explore decision-making between health professionals, older patients and families about medication changes across transitions of care, and to examine how patient and family engagement is enacted in the process of decision-making in relation to these medication changes.

METHODS

A focused ethnographic design was undertaken with semi-structured interviews, observations, and reflective focus groups or interviews. Reflexive thematic analysis was conducted on transcribed data. The study was undertaken at a public teaching acute care hospital and a public teaching community hospital in Australia.

RESULTS

In all, 182 older patients, 44 family members and 94 health professionals participated. Four themes were conceptualised from the data: different customs and routines, medication challenges, health professional interactions, and patient and family involvement. Environments had differences in their customs and routines, which increased the potential for medication delays or the substitution of unintended medications. Medication challenges included health professionals assuming that patients and families did not need information about regularly prescribed medications. Patients and families were informed about new medications after health professionals had already made decisions to prescribe these medications. Health professionals tended to work in disciplinary silos, and they had views about their role in interacting with patients and families. Patients and families were expected to take the initiative to participate in decision-making about medication changes.

CONCLUSIONS

Patient movements across transitions of care can create complex and chaotic medication management situations, which lacks transparency, especially for older patients and their families. A greater focus on pre-emptive and planned discussions about medication changes will contribute to improving patient and family involvement in medication decision-making.

Large Language Models in Ophthalmology: Potential and Pitfalls

Large language models (LLMs) show great promise in assisting clinicians in general, and ophthalmology in particular, through knowledge synthesis, decision support, accelerating research, enhancing education, and improving patient interactions. Specifically, LLMs can rapidly summarize the latest literature to keep clinicians up-to-date. They can also analyze patient data to highlight crucial insights and recommend appropriate tests or referrals. LLMs can automate tedious research tasks like data cleaning and literature reviews. As AI tutors, LLMs can fill knowledge gaps and assess competency in trainees. As chatbots, they can provide empathetic, personalized responses to patient inquiries and improve satisfaction. The visual capabilities of LLMs like GPT-4 allow assisting the visually impaired by describing environments. However, there are significant ethical, technical, and legal challenges around the use of LLMs that should be addressed regarding privacy, fairness, robustness, attribution, and regulation. Ongoing oversight and refinement of models is critical to realize benefits while minimizing risks and upholding responsible AI principles. If carefully implemented, LLMs hold immense potential to push the boundaries of care, discovery, and quality of life for ophthalmology patients.

Understanding an epidemiological view of a retrospective audit of medication errors in an intensive care unit

BACKGROUND

Medication errors in the intensive care setting continue to occur at significant rates and are often associated with adverse events and potentially life-threatening repercussions.

AIM/OBJECTIVE

The aim of this study was to (i) determine the frequency and severity of medication errors reported in the incident management reporting system; (ii) examine the antecedent events, their nature, the circumstances, risk factors, and contributing factors leading to medication errors; and (iii) identify strategies to improve medication safety in the intensive care unit (ICU).

METHOD

A retrospective, exploratory, descriptive design was selected. Retrospective data were collected from the incident report management system and electronic medical records over a 13-month period from a major metropolitan teaching hospital ICU.

RESULTS

A total of 162 medication errors were reported during a 13-month period, of which, 150 were eligible for inclusion. Most medication errors occurred during the administration (89.4%) and dispensing phases (23.3%). The highest reported errors included incorrect doses (25.3%), incorrect medications (12.7%), omissions (10.7%), and documentation errors (9.3%). Narcotic analgesics (20%), anaesthetics (13.3%), and immunomodifiers (10.7%) were the most frequently reported medication classes associated with medication errors. Prevention strategies were found to be focussed on active errors (67.7%) as opposed to latent errors (32.3%) and included various and infrequent levels of education and follow-up. Active antecedent events included action-based errors (39%) and rule-based errors (29.5%), whereas latent antecedent events were most associated with a breakdown in system safety (39.3%) and education (25%).

CONCLUSION

This study presents an epidemiological view and understanding of medication errors in an Australian ICU. This study highlighted the preventable nature of most medication errors in this study. Improving administration-checking procedures would prevent the occurrence of many medication errors. Approaches aimed at both individual- and organisational-level improvements are recommended to address administration errors and inconsistent medication-checking procedures. Areas for further research include determining the most effective system developments for improving administration-checking procedures and verifying the risk and prevalence of immunomodifier administration errors in the ICU as this is an area not reported previously in the literature. In addition, the impact of single- versus two-person checking procedures on medication errors in the ICU should be prioritised to address current evidence gaps.

How is bioelectrical impedance used in neonatal intensive care? A scoping review

Poor growth and nutrition management in the neonatal period can have a negative impact upon both the short- and long-term outcomes for the infant. Improvements in bioelectrical impedance technology and accompanying licencing agreements now make this enhanced device available for use in infants as small as 23 weeks gestational age. An exploration of this technology and its use is now timely. The aim of the scoping review was to answer the following question: in preterm and sick term infants in the neonatal intensive care unit, how is bioelectrical impedance being utilized, in what situations, and when? The scoping review was conducted using Arksey and O'Malley's (Int J Soc Res Methodol 8(1):19-32, 2005) framework. Forty-nine papers were initially identified and 16 were included in the scoping review. Three studies were experimental designs, and 13 were observational studies. The review found that BIA was used in neonatal intensive care in three main ways, for, (1) fluid status evaluation, (2) as a measure of adequate nutrition and growth, (3) to validate the technology as an outcome measure in neonates.

CONCLUSION

There is a paucity of recent robust research papers which investigate the use of bioelectrical impedance in preterm neonates. Available evidence spans a range of 30 years, with technological advancement reducing the application of older studies to the modern neonatal setting. Although this technology may be helpful for decision-making around fluid management and nutrition, in preterm infants, robust evidence is needed to demonstrate the clinical benefit of bioelectrical impedance beyond that of usual care.

WHAT IS KNOWN

• Clinical decisions regarding neonatal nutrition and fluid management are currently based upon the interpretation of vital signs, fluid balance, weight trend, biochemical markers, and physical examination. • Bioelectrical Impedance Analysis (BIA) is a non-invasive method of assessing body composition which is now available to be used in infants as small as 23 weeks gestation.

WHAT IS NEW

• Bioelectrical Impedance has been used in three main ways in the NICU, for fluid status evaluation, for measuring nutrition and growth and to validate BIA as an outcome. • There is a lack of recent robust research data to support the use of the device within clinical decision making in neonatal intensive care.

Clinical decision making: validation of the nursing anxiety and self-confidence with clinical decision making scale (NASC-CDM ©) into Spanish and comparative cross-sectional study in nursing students

BACKGROUND

Decision making is a pivotal component of nursing education worldwide. This study aimed to accomplish objectives: (1) Cross-cultural adaptation and psychometric validation of the Nursing Anxiety and Self-Confidence with Clinical Decision Making (NASC-CDM©) scale from English to Spanish; (2) Comparison of nursing student groups by academic years; and (3) Analysis of the impact of work experience on decision making.

METHODS

Cross-sectional comparative study. A convenience sample comprising 301 nursing students was included. Cultural adaptation and validation involved a rigorous process encompassing translation, back-translation, expert consultation, pilot testing, and psychometric evaluation of reliability and statistical validity. The NASC-CDM© scale consists of two subscales: self-confidence and anxiety, and 3 dimensions: D1 (Using resources to gather information and listening fully), D2 (Using information to see the big picture), and D3 (Knowing and acting). To assess variations in self-confidence and anxiety among students, the study employed the following tests: Analysis of Variance tests, homogeneity of variance, and Levene's correction with Tukey's post hoc analysis.

RESULTS

Validation showed high internal consistency reliability for both scales: Cronbach's α = 0.920 and Guttman's λ2 = 0.923 (M = 111.32, SD = 17.07) for self-confidence, and α = 0.940 and λ2 = 0.942 (M = 80.44, SD = 21.67) for anxiety; and comparative fit index (CFI) of: 0.981 for self-confidence and 0.997 for anxiety. The results revealed a significant and gradual increase in students' self-confidence (p =.049) as they progressed through the courses, particularly in D2 and D3. Conversely, anxiety was high in the 1st year (M = 81.71, SD = 18.90) and increased in the 3rd year (M = 86.32, SD = 26.38), and significantly decreased only in D3. Work experience positively influenced self-confidence in D2 and D3 but had no effect on anxiety.

CONCLUSION

The Spanish version (NASC-CDM-S©) was confirmed as a valid, sensitive, and reliable instrument, maintaining structural equivalence with the original English version. While the students' self-confidence increased throughout their training, their levels of anxiety varied. Nevertheless, these findings underscored shortcomings in assessing and identifying patient problems.

Clinical decisions in fetal-neonatal neurology I. reproductive and pregnancy health influence the neural exposome over multiple generations

Interdisciplinary fetal neonatal neurology (FNN) training requires integration of reproductive health factors into evaluations of the maternal-placental-fetal (MPF) triad, neonate, and child over the first 1000 days. Serial events that occur before one or multiple pregnancies impact successive generations. A maternal-child dyad history highlights this continuity of health risk, beginning with a maternal grandmother's pregnancy. Her daughter was born preterm and later experienced polycystic ovarian syndrome further complicated by cognitive and mental health disorders. Medical problems during her pregnancy contributed to MPF triad diseases that resulted in her son's extreme prematurity. Postpartum maternal death from the complications of diabetic ketoacidosis and her child's severe global neurodevelopmental delay were adverse mother-child outcomes. A horizontal/vertical diagnostic approach to reach shared clinical decisions during FNN training requires perspectives of a dynamic neural exposome. Career-long learning is then strengthened by continued interactions from al stakeholders. Developmental origins theory applied to neuroplasticity principles help interpret phenotypic expressions as dynamic gene-environment interactions across a person's lifetime. Debiasing strategies applied to the cognitive process reduce bias to preserve therapeutic and prognostic accuracy. Social determinants of health are essential components of this strategy to be initiated during FNN training. Reduction of the global burden of neurologic disorders requires applying the positive effects from reproductive and pregnancy exposomes that will benefit the neural exposome across the lifespan.

Clinical decisions in fetal-neonatal neurology II: Gene-environment expression over the first 1000 days presenting as "four great neurological syndromes"

Interdisciplinary fetal-neonatal neurology (FNN) training considers a woman's reproductive and pregnancy health histories when assessing the "four great neonatal neurological syndromes". This maternal-child dyad exemplifies the symptomatic neonatal minority, compared with the silent majority of healthy children who experience preclinical diseases with variable expressions over the first 1000 days. Healthy maternal reports with reassuring fetal surveillance testing preceded signs of fetal distress during parturition. An encephalopathic neonate with seizures later exhibited childhood autistic spectrum behaviors and intractable epilepsy correlated with identified genetic biomarkers. A systems biology approach to etiopathogenesis guides the diagnostic process to interpret phenotypic form and function. Evolving gene-environment interactions expressed by changing phenotypes reflect a dynamic neural exposome influenced by reproductive and pregnancy health. This strategy considers critical/sensitive periods of neuroplasticity beyond two years of life to encompass childhood and adolescence. Career-long FNN experiences reenforce earlier training to strengthen the cognitive process and minimize cognitive biases when assessing children or adults. Prioritizing social determinants of healthcare for persons with neurologic disorders will help mitigate the global burden of brain diseases for all women and children.

Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review

Drug-drug interactions (DDI) are a critical aspect of drug research that can have adverse effects on patients and can lead to serious consequences. Predicting these events accurately can significantly improve clinicians' ability to make better decisions and establish optimal treatment regimens. However, manually detecting these interactions is time-consuming and labor-intensive. Utilizing the advancements in Artificial Intelligence (AI) is essential for achieving accurate forecasts of DDIs. In this review, DDI prediction tasks are classified into three types according to the type of DDI prediction: undirected DDI prediction, DDI events prediction, and Asymmetric DDI prediction. The paper then reviews the progress of AI for each of these three prediction tasks in DDI and provides a summary of the data sets used as well as the representative methods used in these three prediction directions. In this review, we aim to provide a comprehensive overview of drug interaction prediction. The first section introduces commonly used databases and presents an overview of current research advancements and techniques across three domains of DDI. Additionally, we introduce classical machine learning techniques for predicting undirected drug interactions and provide a timeline for the progression of the predicted drug interaction events. At last, we debate the difficulties and prospects of AI approaches at predicting DDI, emphasizing their potential for improving clinical decision-making and patient outcomes.

Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients

The accurate diagnosis and staging of lymph node metastasis (LNM) are crucial for determining the optimal treatment strategy for head and neck cancer patients. We aimed to develop a 3D Resnet model and investigate its prediction value in detecting LNM. This study enrolled 156 head and neck cancer patients and analyzed 342 lymph nodes segmented from surgical pathologic reports. The patients' clinical and pathological data related to the primary tumor site and clinical and pathology T and N stages were collected. To predict LNM, we developed a dual-pathway 3D Resnet model incorporating two Resnet models with different depths to extract features from the input data. To assess the model's performance, we compared its predictions with those of radiologists in a test dataset comprising 38 patients. The study found that the dimensions and volume of LNM + were significantly larger than those of LNM-. Specifically, the Y and Z dimensions showed the highest sensitivity of 84.6% and specificity of 72.2%, respectively, in predicting LNM + . The analysis of various variations of the proposed 3D Resnet model demonstrated that Dual-3D-Resnet models with a depth of 34 achieved the highest AUC values of 0.9294. In the validation test of 38 patients and 86 lymph nodes dataset, the 3D Resnet model outperformed both physical examination and radiologists in terms of sensitivity (80.8% compared to 50.0% and 91.7%, respectively), specificity(90.0% compared to 88.5% and 65.4%, respectively), and positive predictive value (77.8% compared to 66.7% and 55.0%, respectively) in detecting individual LNM + . These results suggest that the 3D Resnet model can be valuable for accurately identifying LNM + in head and neck cancer patients. A prospective trial is needed to evaluate further the role of the 3D Resnet model in determining LNM + in head and neck cancer patients and its impact on treatment strategies and patient outcomes.

Incidental findings during donor liver assessment: Single center experience

Intraoperative consultation of donor liver is an important part of transplant evaluation and determination of liver eligibility. In this study, we describe incidental pathologic findings discovered during the pretransplant evaluation of liver donors in our Institution from 1/2010 to 12/2022. During this 13-year period 369 intraoperative consultations from 262 liver donors were performed. Of those cases, incidental findings were identified in 22 cases (5.9 %) from 19 donors (7.3 %); two donors had more than one lesion. The median age of this subset of patients was 53 years (range: 18-70) and females predominated (63 %). Sixteen of the donors had abnormal findings in the liver: 6 bile duct hamartoma (BDH), 5 hyalinized nodule with Histoplasma capsulatum, 5 focal nodular hyperplasia (FNH), 2 bile duct adenomas (BDA), 1 biliary cyst and 1 hemangioma. One donor had both FNH and a BDH. One BDH and 1 BDA case was misdiagnosed as malignancy during the frozen section evaluation. Three donors had extrahepatic pathologies: a pancreatic tail schwannoma, a low-grade appendiceal mucinous neoplasm, and a lymph node with metastatic endometrial endometrioid adenocarcinoma. Of the 19 livers, the final organ disposition was available for 9: 6 were transplanted (67 %) and 3 were discarded (33 %). Two of the 3 discarded organs were misdiagnosed BDH and BDA cases, and one was incorrectly reported as having 90 % microvesicular steatosis during the frozen assessment. We present the clinicopathologic characteristics of liver donors with incidental findings during the pre-transplant evaluation which could lead to unwarranted graft dismissal if misdiagnosed. Additionally, incidental fungal infections can have implications for immunosuppressive therapy and the decision to use or reject the graft.

Personalized anti-tumor drug efficacy prediction based on clinical data

Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data. Specifically, we encode the clinical text as numeric vectors featured with hidden topics for patients using Latent Dirichlet Allocation model. Then, to classify patients into two classes, responsive or non-responsive to a drug, drug efficacy predictors are established by machine learning based on the Latent Dirichlet Allocation topic representation. To evaluate the proposed method, we collected and collated clinical records of lung and bowel cancer patients treated with platinum. Experimental results on the data sets show the efficacy and effectiveness of the proposed method, suggesting the potential value of clinical data in cancer precision medicine. We hope that it will promote the research of drug efficacy prediction based on clinical data.

Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies

OBJECTIVES

To develop and test zone-specific prostate-specific antigen density (sPSAD) combined with PI-RADS to guide prostate biopsy decision strategies (BDS).

METHODS

This retrospective study included consecutive patients, who underwent prostate MRI and biopsy (01/2012-10/2018). The whole gland and transition zone (TZ) were segmented at MRI using a retrained deep learning system (DLS; nnU-Net) to calculate PSAD and sPSAD, respectively. Additionally, sPSAD and PI-RADS were combined in a BDS, and diagnostic performances to detect Grade Group ≥ 2 (GG ≥ 2) prostate cancer were compared. Patient-based cancer detection using sPSAD was assessed by bootstrapping with 1000 repetitions and reported as area under the curve (AUC). Clinical utility of the BDS was tested in the hold-out test set using decision curve analysis. Statistics included nonparametric DeLong test for AUCs and Fisher-Yates test for remaining performance metrics.

RESULTS

A total of 1604 patients aged 67 (interquartile range, 61-73) with 48% GG ≥ 2 prevalence (774/1604) were evaluated. By employing DLS-based prostate and TZ volumes (DICE coefficients of 0.89 (95% confidence interval, 0.80-0.97) and 0.84 (0.70-0.99)), GG ≥ 2 detection using PSAD was inferior to sPSAD (AUC, 0.71 (0.68-0.74)/0.73 (0.70-0.76); p < 0.001). Combining PI-RADS with sPSAD, GG ≥ 2 detection specificity doubled from 18% (10-20%) to 43% (30-44%; p < 0.001) with similar sensitivity (93% (89-96%)/97% (94-99%); p = 0.052), when biopsies were taken in PI-RADS 4-5 and 3 only if sPSAD was ≥ 0.42 ng/mL/cc as compared to all PI-RADS 3-5 cases. Additionally, using the sPSAD-based BDS, false positives were reduced by 25% (123 (104-142)/165 (146-185); p < 0.001).

CONCLUSION

Using sPSAD to guide biopsy decisions in PI-RADS 3 lesions can reduce false positives at MRI while maintaining high sensitivity for GG ≥ 2 cancers.

CLINICAL RELEVANCE STATEMENT

Transition zone-specific prostate-specific antigen density can improve the accuracy of prostate cancer detection compared to MRI assessments alone, by lowering false-positive cases without significantly missing men with ISUP GG ≥ 2 cancers.

KEY POINTS

• Prostate biopsy decision strategies using PI-RADS at MRI are limited by a substantial proportion of false positives, not yielding grade group ≥ 2 prostate cancer. • PI-RADS combined with transition zone (TZ)-specific prostate-specific antigen density (PSAD) decreased the number of unproductive biopsies by 25% compared to PI-RADS only. • TZ-specific PSAD also improved the specificity of MRI-directed biopsies by 9% compared to the whole gland PSAD, while showing identical sensitivity.

Adjuvant chemotherapy and survival in males aged 70 years or older with breast cancer: a population-based retrospective study

BACKGROUND

Male breast cancer constitutes a minority of breast cancer diagnoses, yet its incidence has been on the rise in recent decades. However, elderly male breast cancer patients have been inadequately represented in clinical trials, posing challenges in treatment decisions. This study seeks to clarify the efficacy of chemotherapy in this demographic and identify the population most likely to benefit from such intervention.

METHODS

We conducted a retrospective analysis using the Surveillance, Epidemiology, and End Results (SEER) database, encompassing a total of 1900 male breast cancer patients aged 70 years or older. Among them, 1652 were categorized in the no-chemotherapy group, while 248 were in the chemotherapy group. A multifactorial logistic regression model was employed to investigate the determinants influencing the administration of chemotherapy in elderly male breast cancer patients. Additionally, the multivariate Cox proportional hazards regression model was applied to identify factors associated with outcomes, with overall survival (OS) as the primary endpoint.

RESULTS

Multivariate logistic regression analysis revealed that grade, tumor size, and nodal status were robust predictors for elderly male breast cancer patients receiving chemotherapy. Furthermore, the multivariate analysis demonstrated that chemotherapy conferred benefits compared to the no-chemotherapy group (HR = 0.822, 95% CI: 0.682-0.991, p = 0.040). Stratified analyses indicated that individuals with N+, poorly/undifferentiated grade, and stage II/III disease could derive benefits from chemotherapy. Upon further investigation of progesterone receptor (PR) positive patients, it was found that only stage III patients experienced significant benefits from chemotherapy (HR = 0.571, 95% CI: 0.372-0.875, p = 0.010). Conversely, in PR negative patients, both stage II (HR = 0.201, 95% CI: 0.051-0.792, p = 0.022) and stage III patients (HR = 0.242, 95% CI: 0.060-0.972, p = 0.046) derived benefits from chemotherapy.

CONCLUSION

Adjuvant chemotherapy may benefit certain elderly male breast cancer patients, specifically those with positive lymph node status, poorly/undifferentiated grade, and PR-positive in stage III, as well as PR-negative expression in stage II/III. Given favorable physical tolerance, it is advisable not to hastily dismiss chemotherapy for these elderly male breast cancer patients.

Podcast on How to Classify Foot Ulcers in People with Diabetes (2023 Update of the IWGDF Guidelines on Classification)

INTRODUCTION

In this podcast, we present the result of the 2023 scheduled update of the 2019 guidelines of the International Working Group of the Diabetic Foot (IWGDF) addressing the use of systems to classify foot ulcers in people with diabetes in routine clinical practice.

METHODS

These guidelines were based on a systematic review of the available literature that identified 28 classifications addressed in 149 articles and, subsequently, expert opinion using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) methodology. We first assessed the value of each system independently and, in the second stage, chose the best one or two to be used in each clinical scenario.

RESULTS

We recommend (1) for communication among healthcare professionals to use the Site, Ischaemia, Neuropathy, Bacterial infection, Area, Depth (SINBAD) classification (first option) or consider using Wound, Ischaemia, foot Infection (WIfI) system (alternative option, when the required equipment and level of expertise are available and it is considered feasible) and in each case the individual variables that compose the systems should be described rather than a total score; (2) for predicting the outcome of an ulcer in a specific individual: no existing system could be recommended; (3) for characterising a person with an infected ulcer: the use of the IDSA (Infection Diseases Society of America)/IWGDF (first option) classification or consider using the WIfI system (alternative option, when the required equipment and level of expertise are available and it is considered as feasible); (4) for characterising a person with peripheral artery disease: consider using the WIfI system as a means to stratify healing likelihood and amputation risk; (5) for the audit of outcome(s) of populations: the use of the SINBAD score.

CONCLUSION

Although there is no classification that fits all purposes, it is crucial that healthcare professionals standardize the way they characterise diabetes-related foot ulcers and guide their decision-making process by using validated classification systems.

The challenge of using patient reported outcome measures in clinical practice: how do we get there?

BACKGROUND

As patient-reported outcome measures (PROMs) become available to clinicians for routine clinical decision-making, many wonder how to define a meaningful change in a patient's PROM score. Some PROMs have a specific threshold that indicates meaningful change, but since those numbers are based on population averages, they do not necessarily apply to the varying experiences of each individual patient. Rather than viewing this as a weakness of PROMs, it is worth considering how clinicians use other existing measures in clinical decision-making-and whether PROMs can be used similarly. BODY: An informal survey of 43 clinicians reported using measures such as weight, blood pressure, and blood chemistry to inform clinical decision-making. Although clinicians were very consistent with what constituted a meaningful change for some measures (e.g., ECOG performance status), other measures had considerable variability (e.g., weight), often informed by their specialization (for example, differing thresholds for meaningful weight change for adult primary care, pediatrics, and oncology). For interpreting change in measures, they relied on clinical experience (44%), published literature (38%), and established guidelines (35%). In open-response comments, many clarified that the results of any measure had to be taken in the context of each individual patient before making treatment decisions. In short, clinicians already apply individualized clinical judgment when interpreting score changes in existing clinical measures. As clinicians gain familiarity with PROMs, PROMs will likely be utilized in the same way.

CONCLUSION

Like other clinical measures from weight to blood chemistry, change in a PROM score is but one piece of a patient's clinical story. Rather than relying on a hard-and-fast number for defining clinically meaningful change in a PROM score, providers should-and many already do-consider the full scope of a patient's experience as they make treatment decisions.

Parenteral nutrition consensus report from KEPAN

OBJECTIVES

Medical nutrition therapy is one of the core components of patient management, although its implication is still limited in Daily practice globally. Clinicians are in need of guidance that will ease the application of medical nutrition therapy. The pre- and post-graduate curriculum for medical nutrition therapy is limited in most regions, worldwide. A report that is short, clear, and having clear-cut recommendations that will guide the primary healthcare professionals in indications, choice, practical application, follow-up, and stopping parenteral nutrition (PN) would facilitate the application and success of medical nutrition therapy. KEPAN is the Clinical Enteral and Parenteral Nutrition Society of Turkey and is an active member of the European Society for Clinical Nutrition and Metabolism (ESPEN).

METHOD

In this study, we present the KEPAN PN consensus report on optimal PN use in medical nutrition therapy as outlined by the works of academicians experienced in the clinical application of PN (nine working group academicians and 10 expert group academicians).

RESULTS

This report provides 22 clear-cut recommendations in a question-answer format.

CONCLUSIONS

We believe that this report could have a significant impact on the optimum use of PN in the context of medical nutrition therapy when clinicians manage everyday patients.

Clinical decision-making processes among graduate nurses, specialist nurses and nurse practitioners A collaborative international study

AIM

To explore clinical decision-making by comparing the processes used by three groups of nurses in the emergency departments of three hospitals: in Norway, Finland and Ireland.

BACKGROUND

Clinical decision-making in an emergency department environment is a complex process often occurring in times of crisis. It is an important aspect contributing to the quality of care. However, empirical research is limited regarding the decision-making process in different nursing roles.

METHODS

In accordance with the consolidated criteria for reporting qualitative research, a qualitative and observational study was conducted to explore clinical decision-making by comparing the processes used by three groups of nurses in the emergency departments of three hospitals: in Norway, Finland and Ireland. Six Registered Nurses, six Nurse Specialists and six Nurse Practitioners were observed. A total of 40 hours of observation was made at each setting according to a structured observation guideline, followed by clarifying questions. The data material was analysed by means of a qualitative manifest and latent content analysis.

RESULTS

Three themes arose: acting in accordance with routines, previous experience and intuition; considering patient experience; and facilitating new alternatives based on critical thinking. The Registered Nurses mainly used the first approach, the Nurse Specialists used the first and the second approaches, and the Nurse Practitioners used all three approaches.

CONCLUSIONS

The results highlight the differences in decision-making processes between these groups. Nurse Practitioners were the only group that facilitated and evaluated new alternatives using their clinical autonomy, such as stepping up and making independent and collaborative decision-making.

IMPLICATION

The results can be used in countries developing advanced practice nursing education and defining their scope of practice to inform stakeholders.

Getting More Out of Clinical Documentation: Can Clinical Dashboards Yield Clinically Useful Information?

This study investigated coded data retrieved from clinical dashboards, which are decision-support tools that include a graphical display of clinical progress and clinical activities. Data were extracted from clinical dashboards representing 256 youth (M age = 11.9) from 128 practitioners who were trained in the Managing and Adapting Practice (MAP) system (Chorpita & Daleiden in BF Chorpita EL Daleiden 2014 Structuring the collaboration of science and service in pursuit of a shared vision. 43(2):323 338. 2014, Chorpita & Daleiden in BF Chorpita EL Daleiden 2018 Coordinated strategic action: Aspiring to wisdom in mental health service systems. 25(4):e12264. 2018) in 55 agencies across 5 regional mental health systems. Practitioners labeled up to 35 fields (i.e., descriptions of clinical activities), with the options of drawing from a controlled vocabulary or writing in a client-specific activity. Practitioners then noted when certain activities occurred during the episode of care. Fields from the extracted data were coded and reliability was assessed for Field Type, Practice Element Type, Target Area, and Audience (e.g., Caregiver Psychoeducation: Anxiety would be coded as Field Type = Practice Element; Practice Element Type = Psychoeducation; Target Area = Anxiety; Audience = Caregiver). Coders demonstrated moderate to almost perfect interrater reliability. On average, practitioners recorded two activities per session, and clients had 10 unique activities across all their sessions. Results from multilevel models showed that clinical activity characteristics and sessions accounted for the most variance in the occurrence, recurrence, and co-occurrence of clinical activities, with relatively less variance accounted for by practitioners, clients, and regional systems. Findings are consistent with patterns of practice reported in other studies and suggest that clinical dashboards may be a useful source of clinical information. More generally, the use of a controlled vocabulary for clinical activities appears to increase the retrievability and actionability of healthcare information and thus sets the stage for advancing the utility of clinical documentation.

Current practices for assessing clinical judgment in nursing students and new graduates: A scoping review

OBJECTIVE

To map current assessment practices for learning outcomes related to nurses' clinical judgment from undergraduate education to entry to practice.

DESIGN

Scoping review using the Joanna Briggs Institute guidelines and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

DATA SOURCES

Electronic databases-Cumulative Index of Nursing and Allied Health Literature (CINAHL Complete; EBSCOhost), EMBASE (Ovid), MEDLINE (Ovid), PsycINFO (Ovid), and Web of Science (Social Sciences Citation Index, Citation Index Expanded)-using a combination of descriptors and keywords related to nursing students, newly graduated nurses, clinical judgment and related terms (e.g., critical thinking, clinical reasoning, clinical decision-making, and problem-solving), and assessment.

METHODS

Two reviewers independently extracted study characteristics and, for each outcome relevant to clinical judgment, the concept, definition and framework, assessment tool, and the number and schedule of assessments. Data were synthesized narratively and using descriptive statistics.

RESULTS

Most of the 52 reviewed studies examined the outcome of a discrete educational intervention (76.9 %) in academic settings (78.8 %). Only six studies (11.5 %) involved newly graduated nurses. Clinical judgment (34.6 %), critical thinking (26.9 %), and clinical reasoning (9.6 %) were the three most frequent concepts. Three assessment tools were used in more than one study: the Lasater Clinical Judgment Rubric (n = 22, 42.3 %), the California Critical Thinking Skills Test (n = 9, 17.3 %), and the Health Science Reasoning Test (n = 2, 3.8 %). Eleven studies (21.2 %) used assessment tools designed for the study.

CONCLUSION

In addition to a disparate understanding of underlying concepts, there are minimal published studies on the assessment of nursing students and nurses' clinical judgment, especially for longitudinal assessment from education to clinical practice. Although there is some existing research on this topic, further studies are necessary to establish valid and reliable clinical competency assessment methods that effectively integrate clinical judgment in clinical situations at relevant time points.

Evaluating the use of casuistry during moral case deliberation in the ICU: A multiple qualitative case study

Intensive care unit (ICU) professionals engage in ethical decision making under conditions of high stakes, great uncertainty, time-sensitivity and frequent irreversibility of action. Casuistry is a way by which actionable knowledge is obtained through comparing a patient case to previous cases from experience in clinical practice. However, within the field of study as well as in practice, evidence-based medicine is the dominant epistemic framework. This multiple case study evaluated the use of casuistic reasoning by intensive care unit (ICU) professionals during moral case deliberation. It took place in two Dutch hospitals between June 2020 and June 2022. Twentyfive moral case deliberations from ICU practice were recorded and analyzed using discourse analysis. Additionally, 47 interviews were held with ICU professionals who participated in these deliberations, analyzed using thematic analysis. We found that ICU professionals made considerable use of case comparisons when discussing continuation, withdrawal or limitation. Analogies played a role in justifying or complicating moral judgements, and also played a role in addressing moral distress. The language of case-based arguments is most often not overtly normative. Rather, the data shows that casuistic reasoning deals with the medical, ethical and contextual elements of decisions in an integrated manner. Facilitators of MCD have an essential role in (supporting ICU professionals in) scrutinizing casuistic arguments. The data shows that during MCD, actual reasoning often deviated from principle- and rule-based reasoning which ICU professionals preferred themselves. Evidence-based arguments often gained the character of analogical arguments, especially when a patient-at-hand was seen as highly unique from the average patients in the literature. Casuistic arguments disguised as evidence-based arguments may therefore provide ICU professionals with a false sense of certainty. Within education, we should strive to train clinicians and ethics facilitators so that they can recognize and evaluate casuistic arguments.

A comparative vignette study: Evaluating the potential role of a generative AI model in enhancing clinical decision-making in nursing

AIM

This study explores the potential of a generative artificial intelligence tool (ChatGPT) as clinical support for nurses. Specifically, we aim to assess whether ChatGPT can demonstrate clinical decision-making equivalent to that of expert nurses and novice nursing students. This will be evaluated by comparing ChatGPT responses to clinical scenarios to those of nurses on different levels of experience.

DESIGN

This is a cross-sectional study.

METHODS

Emergency room registered nurses (i.e. experts; n = 30) and nursing students (i.e. novices; n = 38) were recruited during March-April 2023. Clinical decision-making was measured using three validated clinical scenarios involving an initial assessment and reevaluation. Clinical decision-making aspects assessed were the accuracy of initial assessments, the appropriateness of recommended tests and resource use and the capacity to reevaluate decisions. Performance was also compared by timing response generations and word counts. Expert nurses and novice students completed online questionnaires (via Qualtrics), while ChatGPT responses were obtained from OpenAI.

RESULTS

Concerning aspects of clinical decision-making and compared to novices and experts: (1) ChatGPT exhibited indecisiveness in initial assessments; (2) ChatGPT tended to suggest unnecessary diagnostic tests; (3) When new information required re-evaluation, ChatGPT responses demonstrated inaccurate understanding and inappropriate modifications. In terms of performance, the mean number of words utilized in ChatGPT answers was 27-41 times greater than that utilized by both experts and novices; and responses were provided approximately 4 times faster than those of novices and twice faster than expert nurses. ChatGPT responses maintained logical structure and clarity.

CONCLUSIONS

A generative AI tool demonstrated indecisiveness and a tendency towards over-triage compared to human clinicians.

IMPACT

The study shows that it is important to approach the implementation of ChatGPT as a nurse's digital assistant with caution. More study is needed to optimize the model's training and algorithms to provide accurate healthcare support that aids clinical decision-making.

REPORTING METHOD

This study adhered to relevant EQUATOR guidelines for reporting observational studies.

PATIENT OR PUBLIC CONTRIBUTION

Patients were not directly involved in the conduct of this study.

Cognitive processes in pharmacists' clinical decision-making

BACKGROUND

Pharmacists' clinical decision-making is a core process in pharmaceutical care. However, the practical aspects and effective teaching methods of this process remain largely unexplored.

OBJECTIVE

To examine the cognitive processes involved in pharmacists' perceptions of how they make clinical decisions in pharmacy practice.

METHODS

Semi-structured, face-to-face interviews were conducted with pharmacists working in community, outpatient, and hospital care in the Netherlands between August and December 2021. Participants were explicitly asked for examples when asked how they make clinical decisions in practice and how they teach this to others. After transcribing audio-recorded interviews, an inductive thematic analysis was conducted to identify cognitive processes. A theoretical model of clinical decision-making was then used and adapted to structure the identified processes.

RESULTS

In total, 21 cognitive processes were identified from interviews with 16 pharmacists working in community (n = 5), outpatient (n = 2), and hospital care (n = 9). These cognitive processes were organized into 8 steps of the adapted theoretical model, i.e. problem and demand for care consideration, information collection, clinical reasoning, clinical judgment, shared decision-making, implementation, outcomes evaluation, and reflection. Pharmacists struggled to articulate their clinical decision-making and went back-and-forth in their explanations of this process. All pharmacists emphasized the importance of identifying the problem and described how they collect information through reviewing, gathering, recalling, and investigating. Clinical reasoning entailed various cognitive processes, of which comprehending the problem in the patient's context was deemed challenging at times. Pharmacists seemed least active in evaluating patient outcomes and reflecting on these outcomes.

CONCLUSIONS

Pharmacists use multiple cognitive processes when making clinical decisions in pharmacy practice, and their back-and-forth explanations emphasize its dynamic nature. This study adds to a greater understanding of how pharmacists make clinical decisions and to the development of a theoretical model that describes this process, which can be used in pharmacy practice and education.

Impact of PSMA PET on Prostate Cancer Management

OPINION STATEMENT

PSMA-PET has been a practice-changing imaging biomarker for the management of men with PCa. Research suggests improved accuracy over conventional imaging and other PET radiotracers in many contexts. With multiple approved PSMA-targeting radiotracers, PSMA PET will become even more available in clinical practice. Its increased use requires an understanding of the prospective data available and caution when extrapolating from prior trial data that utilized other imaging modalities. Future trials leveraging PSMA PET for treatment optimization and management decision-making will ultimately drive its clinical utility.

Multidisciplinary team meetings in treatment of spinal muscular atrophy adult patients: a real-life observatory for innovative treatments

BACKGROUND

In 2017, a new treatment by nusinersen, an antisense oligonucleotide delivered by repeated intrathecal injections, became available for patients with spinal muscular atrophy (SMA), whereas clinical trials had mainly involved children. Since 2020, the oral, selective SMN2-splicing modifier risdiplam has been available with restrictions evolving with time. In this peculiar context of lack of data regarding adult patients, many questions were raised to define the indications of treatment and the appropriate follow-up in this population. To homogenize access to treatment in France, a national multidisciplinary team meeting dedicated to adult SMA patients, named SMA multidisciplinary team meeting, (SMDTs) was created in 2018. Our objective was to analyze the value of SMDTs in the decision-making process in SMA adult patients and to provide guidelines about treatment.

METHODS

From October 2020 to September 2021, data extracted from the SMDT reports were collected. The primary outcome was the percentage of cases in which recommendations on validating treatment plans were given. The secondary outcomes were type of treatment requested, description of expectations regarding treatment and description of recommendations or follow-up and discontinuation. Data were analyzed using descriptive statistics. Comparisons between the type of treatment requested were performed using Mann-Whitney test or the Student t test for quantitative data and the Fisher's exact test or the χ2 test for qualitative data.

RESULTS

Cases of 107 patients were discussed at the SMDTs with a mean age of 35.3 (16-62). Forty-seven were SMA type 2, and 57 SMA type 3. Twelve cases were presented twice. Out of 122 presentations to the SMDTs, most of requests related to the initiation of a treatment (nusinersen (n = 46), risdiplam (n = 54), treatment without mentioning preferred choice (n = 5)) or a switch of treatment (n = 12). Risdiplam requests concerned significantly older patients (p = 0.002), mostly SMA type 2 (p < 0.0001), with greater disease severity in terms of motor and respiratory function compared to requests for nusinersen. In the year prior to presentation to the SMDTs, most of the patients experienced worsening of motor weakness assessed by functional tests as MFM32 or other meaningful scales for the most severe patients. Only 12% of the patients discussed had a stable condition. Only 49/122 patients (40.1%) expressed clear expectations regarding treatment. The treatment requested was approved by the SMDTs in 72 patients (67.2%). The most common reasons to decline treatment were lack of objective data on the disease course prior discussion to the SMDTs or inappropriate patient's expectations. Treatment requests were more likely to be validated by the SMDTs if sufficient pre-therapeutic functional assessment had been performed to assess the natural history (55% vs. 32%) and if the patient had worsening rather than stable motor function (p = 0.029). In patients with approved treatment, a-priori criteria to define a further ineffectiveness of treatment (usually after 14 months of treatment) were proposed for 67/72 patients.

CONCLUSIONS

In the context of costly treatments with few controlled studies in adults with SMA, in whom assessment of efficacy can be complex, SMDTs are 'real-world observatories' of great interest to establish national recommendations about indications of treatment and follow-up.

9-Month observational Dia-Vacc study of vaccine type influence on SARS-CoV-2 immunity in dialysis and kidney transplant patients

BACKGROUND

SARS-CoV-2mRNA vaccination related seroconversion rates are reduced in dialysis and kidney transplant patients.

METHODS

We evaluated nine months follow up data in our observational Dia-Vacc study exploring specific cellular (interferon-γ release assay) or/and humoral immune responses after 2x SARS-CoV-2mRNA vaccination in 880 participants including healthy medical personnel (125-MP), dialysis patients (595-DP), kidney transplant recipients (111-KTR), and apheresis patients (49-AP) with positive seroconversion (de novo IgA or IgG antibody positivity by ELISA) after eight weeks.

FINDINGS

Nine months after first vaccination, receptor binding domain (RBD) antibodies were still positive in 90 % of MP, 86 % of AP, but only 55 %/48 % of DP/KTR, respectively. Seroconversion remained positive in 100 % of AP and 99·2 % of MP, but 86 %/81 % of DP/KTR, respectively. Compared to MP, DP but not KTR or AP were at risk for a strong RBD decline, while KTR kept lowest RBD values over time. By multivariate analysis, BNT162b2mRNA versus 1273-mRNA vaccine type was an independent risk factor for a strong decline of RBD antibodies. Within the DP group, only time on dialysis was another (inverse) risk factor for the DP group. Compared to humoral immunity, T-cell immunity decline was less prominent.

INTERPRETATION

While seroconverted KTR reach lowest RBD values over time, DP are at specific risk for a strong decline of RBD antibodies after successful SARS-CoV-2mRNA vaccination, which also depends on the vaccine type being used. Therefore, booster vaccinations for DP should be considered earlier compared to normal population.

Factors contributing to the variation in antibiotic prescribing among primary health care physicians: a systematic review

BACKGROUND

Antibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings.

METHODS

This systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies.

RESULTS

Of the 1816 identified studies, 49 studies spanning 2000-2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues' prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability.

CONCLUSION

Antibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.

Translating Clinical Decision-Making Skills From a Critical Care Pharmacy Elective to the Required Curriculum

OBJECTIVE

To examine the impact of a critical care pharmacy elective (CCPE) on student performance in other courses in the Doctor of Pharmacy curriculum that emphasize clinical reasoning and decision making.

METHODS

This is a retrospective, cohort study including all students from the 2019-2021 graduating classes enrolled in required courses, Pharmacotherapy and Integrated Patient Cases (IPCs). Students were divided for comparison based on completion of the CCPE. The primary outcome was outstanding performance, defined by a final course grade ≥90%, in Pharmacotherapy and IPC. Baseline characteristics and outcomes were analyzed using descriptive statistics and the χ2 test or two-sided t test for categorical and continuous variables, respectively. Binary logistic regression models were constructed to identify variables associated with the primary outcome.

RESULTS

Of 377 students included, 129 (34%) completed the CCPE. Baseline characteristics were similar between both groups, except more females completed the CCPE. Students that completed the CCPE were not more likely to demonstrate outstanding performance in Pharmacotherapy III (20% vs 30%) or Pharmacotherapy IV (27% vs 24%), but were more likely in IPC (34% vs 23%). In the adjusted analysis, CCPE students were almost twice as likely to exhibit outstanding performance in IPC.

CONCLUSION

Students that completed the CCPE were more likely to demonstrate outstanding performance in IPC, but not in either of the Pharmacotherapy courses. Students may benefit from practicing clinical reasoning earlier in the curriculum to build-up to effective and efficient clinical decision-making. Implications of course structure on student performance should be further explored.

Sex differences in ascending aortic size reporting and growth on chest computed tomography and magnetic resonance imaging

PURPOSE

Diameter-based guidelines for prophylactic repair of ascending aortic aneurysms have led to routine aortic evaluation in chest imaging. Despite sex differences in aneurysm outcomes, there is little understanding of sex-specific aortic growth rates. Our objective was to evaluate sex-specific temporal changes in radiologist-reported aortic size as well as sex differences in aortic reporting.

METHOD

In this cohort study, we queried radiology reports of chest computed tomography or magnetic resonance imaging at an academic medical center from 1994 to 2022, excluding type A dissection. Aortic diameter was extracted using a custom text-processing algorithm. Growth rates were estimated using mixed-effects modeling with fixed terms for sex, age, and imaging modality, and patient-level random intercepts. Sex, age, and modality were evaluated as predictors of aortic reporting by logistic regression.

RESULTS

This study included 89,863 scans among 46,622 patients (median [interquartile range] age, 64 [52-73]; 22,437 women [48%]). Aortic diameter was recorded in 14% (12,722/89,863 reports). Temporal trends were analyzed in 7194 scans among 1998 patients (age, 68 [60-75]; 677 women [34%]) with ≥2 scans. Aortic growth rate was significantly higher in women (0.22 mm/year [95% confidence interval 0.17-0.28] vs. 0.09 mm/year [0.06-0.13], respectively). Aortic reporting was significantly less common in women (odds ratio, 0.54; 95% CI, 0.52-0.56; p < 0.001).

CONCLUSIONS

While aortic growth rates were small overall, women had over twice the growth rate of men. Aortic dimensions were much less frequently reported in women than men. Sex-specific standardized assessment of aortic measurements may be needed to address sex differences in aneurysm outcomes.

Targets for De-implementation of Unnecessary Testing Before Low-Risk Surgery: A Qualitative Study

INTRODUCTION

Despite multispecialty recommendations to avoid routine preoperative testing before low-risk surgery, the practice remains common and de-implementation has proven difficult. The goal of this study as to elicit determinants of unnecessary testing before low-risk surgery to inform de-implementation efforts.

METHODS

We conducted focused ethnography at a large academic institution, including semi-structured interviews and direct observations at two preoperative evaluation clinics and one outpatient surgery center. Themes were identified through narrative thematic analysis and mapped to a comprehensive and integrated checklist of determinants of practice, the Tailored Implementation for Chronic Diseases framework (TICD).

RESULTS

Thirty individuals participated (surgeons, anesthesiologists, primary care physicians, physician assistants, nurses, and medical assistants). Three themes were identified: (1) Shared Values (TICD Social, Political, and Legal Factors), (2) Gaps in Knowledge (TICD Individual Health Professional Factors, Guideline Factors), and (3) Communication Breakdown (TICD Professional Interactions, Incentives and Resources, Capacity for Organizational Change). Shared Values describe core tenets expressed by all groups of clinicians, namely prioritizing patient safety and utilizing evidence-based medicine. Clinicians had Gaps in Knowledge related to existing data and preoperative testing recommendations. Communication Breakdowns within interdisciplinary teams resulted in unnecessary testing ordered to meet perceived expectations of other providers.

CONCLUSIONS

Clinicians have knowledge gaps related to preoperative testing recommendations and may be amenable to de-implementation efforts and educational interventions. Consensus guidelines may streamline interdisciplinary communication by clarifying interdisciplinary needs and reducing testing ordered to meet perceived expectations of other clinicians.

Stable long-term outcomes after cochlear implantation in subjects with TMPRSS3 associated hearing loss: a retrospective multicentre study

BACKGROUND

The spiral ganglion hypothesis suggests that pathogenic variants in genes preferentially expressed in the spiral ganglion nerves (SGN), may lead to poor cochlear implant (CI) performance. It was long thought that TMPRSS3 was particularly expressed in the SGNs. However, this is not in line with recent reviews evaluating CI performance in subjects with TMPRSS3-associated sensorineural hearing loss (SNHL) reporting overall beneficial outcomes. These outcomes are, however, based on variable follow-up times of, in general, 1 year or less. Therefore, we aimed to 1. evaluate long-term outcomes after CI implantation of speech recognition in quiet in subjects with TMPRSS3-associated SNHL, and 2. test the spiral ganglion hypothesis using the TMPRSS3-group.

METHODS

This retrospective, multicentre study evaluated long-term CI performance in a Dutch population with TMPRSS3-associated SNHL. The phoneme scores at 70 dB with CI in the TMPRSS3-group were compared to a control group of fully genotyped cochlear implant users with post-lingual SNHL without genes affecting the SGN, or severe anatomical inner ear malformations. CI-recipients with a phoneme score ≤ 70% at least 1-year post-implantation were considered poor performers and were evaluated in more detail.

RESULTS

The TMPRSS3 group consisted of 29 subjects (N = 33 ears), and the control group of 62 subjects (N = 67 ears). For the TMPRSS3-group, we found an average phoneme score of 89% after 5 years, which remained stable up to 10 years post-implantation. At both 5 and 10-year follow-up, no difference was found in speech recognition in quiet between both groups (p = 0.830 and p = 0.987, respectively). Despite these overall adequate CI outcomes, six CI recipients had a phoneme score of ≤ 70% and were considered poor performers. The latter was observed in subjects with residual hearing post-implantation or older age at implantation.

CONCLUSION

Subjects with TMPRSS3-associated SNHL have adequate and stable long-term outcomes after cochlear implantation, equal to the performance of genotyped patient with affected genes not expressed in the SGN. These findings are not in line with the spiral ganglion hypothesis. However, more recent studies showed that TMPRSS3 is mainly expressed in the hair cells with only limited SGN expression. Therefore, we cannot confirm nor refute the spiral ganglion hypothesis.

Glioblastoma pseudoprogression and true progression reveal spatially variable transcriptional differences

Post-resection radiologic monitoring to identify areas of new or progressive enhancement concerning for cancer recurrence is critical during patients with glioblastoma follow-up. However, treatment-related pseudoprogression presents with similar imaging features but requires different clinical management. While pathologic diagnosis is the gold standard to differentiate true progression and pseudoprogression, the lack of objective clinical standards and admixed histologic presentation creates the needs to (1) validate the accuracy of current approaches and (2) characterize differences between these entities to objectively differentiate true disease. We demonstrated using an online RNAseq repository of recurrent glioblastoma samples that cancer-immune cell activity levels correlate with heterogenous clinical outcomes in patients. Furthermore, nCounter RNA expression analysis of 48 clinical samples taken from second neurosurgical resection supports that pseudoprogression gene expression pathways are dominated with immune activation, whereas progression is predominated with cell cycle activity. Automated image processing and spatial expression analysis however highlight a failure to apply these broad expressional differences in a subset of cases with clinically challenging admixed histology. Encouragingly, applying unsupervised clustering approaches over our segmented histologic images provides novel understanding of morphologically derived differences between progression and pseudoprogression. Spatially derived data further highlighted polarization of myeloid populations that may underscore the tumorgenicity of novel lesions. These findings not only help provide further clarity of potential targets for pathologists to better assist stratification of progression and pseudoprogression, but also highlight the evolution of tumor-immune microenvironment changes which promote tumor recurrence.

Evidence- based physiotherapy practice in Jordan: Evaluation and identification of implementation factors

BACKGROUND

Evidence-based physiotherapy practice (EBPTP) is becoming increasingly important to improve patient outcomes and clinical decision-making in the physiotherapy profession.

OBJECTIVE

To evaluate the EBPTP in Jordan and identify the barriers to its implementation in clinical practice.

METHOD

The study used a cross-sectional survey of licensed physiotherapists working in Jordan using EBPTP self-reported questionnaire. Frequencies, percentages, and one sample Wilcoxon rank test were used to evaluate the EBPTP level. The EBPTP implementation was evaluated by demographic variations of participants, Spearman's correlation, and stepwise multiple linear regression analyses at 95% confidence interval.

RESULTS

A total of 210 participants completed the survey. All EBPTP questionnaire elements showed significant positive levels (p = .00) except facility support reflecting non-significant negative level (p = .08). The EBPTP implementation was at a significantly lower level of uptake (p = .00). Clinical decision-making was based mainly on personal experience. The EBPTP implementation was significantly correlated with elements of the EBPTP questionnaire and differed by personal/organizational characteristics. There were four significant predictors of EBPTP implementation: understanding of EBPTP terminologies, facility support, formal training in EBPTP, and being a clinical instructor.

CONCLUSION

The findings confirm a clear gap in EBPTP implementation among physiotherapists in Jordan. The EBPTP implementation factors were mainly based on education sectors and work facilities. Engagement of stakeholders and education sectors in EBPTP implementation is required to strengthen the standing of the physiotherapy profession in Jordan.

Application and impact of Lasso regression in gastroenterology: A systematic review

Least absolute shrinkage and selection operator (Lasso) regression is a statistical technique that can be used to study the effects of clinical variables in outcome prediction. In this study, we aimed at systematically reviewing the application of Lasso regression in gastroenterology for developing predictive models and providing a method of performing Lasso regression. A comprehensive search strategy was conducted in PubMed, Embase and Cochrane CENTRAL databases (Keywords: lasso regression; gastrointestinal tract/diseases) following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were screened for eligibility based on pre-defined selection criteria and the data was extracted using a standardized form. Total 16 studies were included, comprising a diverse range of gastroenterological disease-related outcomes. Sample sizes ranged from 134 to 8861 subjects. Eleven studies reported liver disease-related prediction models, while five focused on non-hepatic etiology models. Lasso regression was applied for variable selection, risk prediction and model development, with various validation methods and performance metrics used. Model performance metrics included Area Under the Receiver Operating Characteristics (AUROC), C-index and calibration plots. In gastroenterology, Lasso regression has been used in various diseases such as inflammatory bowel disease, liver disease and esophageal cancer. It is valuable for complex scenarios with many predictors. However, its effectiveness depends on high-quality and complete data. While it identifies important variables, it doesn't provide causal interpretations. Therefore, cautious interpretation is necessary considering the study design and data quality.

Decision-making processes for non-emergency diabetes-related lower extremity amputations: A scoping review

Living with a diabetes-related foot ulcer has significant lifestyle impacts. Whilst often considered a last resort, amputation can overcome the burden of ulcer management, for an improved quality of life. However, limited research has been conducted to understand how the decision to amputate is made for people with a chronic ulcer when amputation is not required as a medical emergency. Therefore, the aim was to identify and map key concepts in the literature which describe the decision-making for diabetes-related amputations. This review followed Arksey and O'Malley's PRISMA scoping review framework. Five electronic databases and grey literature were searched for papers which described clinical reasoning and/or decision-making processes for diabetes-related amputation. Data were extracted and mapped to corresponding domains of the World Health Organisation's International Classification of functioning, Disability and Health (ICF) framework. Ninety-four papers were included. Personal factors including emotional wellbeing, quality of life, and treatment goals are key considerations for an elective amputation. It is important to consider an individual's lifestyle and personal circumstances, as well as the pathology when deciding between amputation or conservative management. This highlights the importance of a holistic and shared decision-making process for amputation which includes assessment of a person's lifestyle and function.

Diagnostic accuracy study of the clinical indicators of vascular trauma in patients undergoing antineoplastic chemotherapy in peripheral veins

Antineoplastic chemotherapy patients are susceptible to vascular trauma. The identification of this problem is possible through accurate clinical indicators. However, there are few diagnostic accuracy studies of vascular trauma in these patients. Thus, the objective was to analyze the accuracy of clinical indicators of vascular trauma in antineoplastic chemotherapy patients. A diagnostic accuracy study was carried out with a sample of 200 patients undergoing antineoplastic chemotherapy, in an oncology reference clinic, during 2018. A data collection form was created with sociodemographic and clinical data and indicators of vascular trauma. The sensitivity and specificity of the clinical indicators were assessed using a latent class analysis of random effects. The clinical indicators of decreased vascular elasticity (0.8384), pain (0.9573), and signs of infection at the catheter insertion site (0.9999) were specific for identifying vascular trauma in antineoplastic chemotherapy patients. The prevalence of vascular trauma in these patients was 11.17%. A set of three clinical indicators was considered accurate and statistically significant for confirming vascular trauma. This study has provided accurate clinical indicators of vascular trauma in antineoplastic chemotherapy patients. These results can contribute to establishing interventions, thereby reducing costs and maximizing health outcomes in this population.

Improving accuracy of early dental carious lesions detection using deep learning-based automated method

OBJECTIVE

To investigate the effectiveness of a convolutional neural network (CNN) in detecting healthy teeth and early carious lesions on occlusal surfaces and to assess the applicability of this deep learning algorithm as an auxiliary aid.

MATERIALS AND METHODS

A total of 2,481 posterior teeth (2,459 permanent and 22 deciduous teeth) with varying stages of carious lesions were classified according to the International Caries Detection and Assessment System (ICDAS). After clinical evaluation, ICDAS 0 and 2 occlusal surfaces were photographed with a professional digital camera. VGG-19 was chosen as the CNN and the findings were compared with those of a reference examiner to evaluate its detection efficiency. To verify the effectiveness of the CNN as an auxiliary detection aid, three examiners (an undergraduate student (US), a newly graduated dental surgeon (ND), and a specialist in pediatric dentistry (SP) assessed the acquired images (Phase I). In Phase II, the examiners reassessed the same images using the CNN-generated algorithms.

RESULTS

The training dataset consisted of 8,749 images, whereas the test dataset included 140 images. VGG-19 achieved an accuracy of 0.879, positive agreement of 0.827, precision of 0.949, negative agreement 0.800, and an F1-score of 0.887. In Phase I, the accuracy rates for examiners US, ND, and SP were 0.543, 0.771, and 0.807, respectively. In Phase II, the accuracy rates improved to 0.679, 0.886, and 0.857 for the respective examiners. The number of correct answers was significantly higher in Phase II than in Phase I for all examiners (McNemar test;P<0.05).

CONCLUSIONS

VGG-19 demonstrated satisfactory performance in the detection of early carious lesions, as well as an auxiliary detection aid.

CLINICAL RELEVANCE

Automated detection using deep learning algorithms is an important aid in detecting early caries lesions and improves the accuracy of the disease detection, enabling quicker and more reliable clinical decision-making.

Case studies of clinical decision-making through prescriptive models based on machine learning

BACKGROUND

The development of computational methodologies to support clinical decision-making is of vital importance to reduce morbidity and mortality rates. Specifically, prescriptive analytic is a promising area to support decision-making in the monitoring, treatment and prevention of diseases. These aspects remain a challenge for medical professionals and health authorities.

MATERIALS AND METHODS

In this study, we propose a methodology for the development of prescriptive models to support decision-making in clinical settings. The prescriptive model requires a predictive model to build the prescriptions. The predictive model is developed using fuzzy cognitive maps and the particle swarm optimization algorithm, while the prescriptive model is developed with an extension of fuzzy cognitive maps that combines them with genetic algorithms. We evaluated the proposed approach in three case studies related to monitoring (warfarin dose estimation), treatment (severe dengue) and prevention (geohelminthiasis) of diseases.

RESULTS

The performance of the developed prescriptive models demonstrated the ability to estimate warfarin doses in coagulated patients, prescribe treatment for severe dengue and generate actions aimed at the prevention of geohelminthiasis. Additionally, the predictive models can predict coagulation indices, severe dengue mortality and soil-transmitted helminth infections.

CONCLUSIONS

The developed models performed well to prescribe actions aimed to monitor, treat and prevent diseases. This type of strategy allows supporting decision-making in clinical settings. However, validations in health institutions are required for their implementation.

[The historical diagnosis of 'hysterical scoliosis']

BACKGROUND

Until the beginning of the 20th century, 'hysterical scoliosis' could be considered an established diagnosis in Middle Europe's German-speaking countries. The responsible physicians claimed that certain cases of scoliosis were caused solely by psychological factors, and they did not distinguish between real scoliosis (e.g. with neuromuscular cause) and abnormal posture caused by psychological reasons. Instead, 'hysterical scoliosis' was obviously believed to be a real scoliosis caused by psychologically induced contractures.

OBJECTIVE

This study critically discusses the historical diagnosis 'hysterical scoliosis' from today's point of view.

MATERIALS AND METHODS

This work is based on historical research (including journals and literature) approximately from the time around 1900. Furthermore, it is also based on recently discovered original material.

RESULTS

The original material is a correspondence between H. Schlesinger and G. Muskat, who published an article about 'hysterical scoliosis' in Schlesinger's journal.

CONCLUSIONS

Obviously, the underlying medical concepts of 'hysterical scoliosis' were wrong and led to clear diagnostic problems and inaccuracies. 'Hysterical scoliosis' can be considered one of adolescent psychiatry's early fashionable illnesses around the year 1900.

Predictors of Initial CPAP Prescription and Subsequent Course with CPAP in Patients with Central Sleep Apneas at a Single Center

PURPOSE

Guidelines recommend considering an initial trial of continuous positive airway pressure (CPAP) to treat central sleep apnea (CSA). However, practice patterns vary widely. This study investigated predictors for an initial trial of CPAP in patients with central apneas and whether those factors predict adequate treatment response in patients receiving an initial CPAP trial.

METHODS

Charts of patients receiving a diagnostic code for CSA following a sleep study during 2016-2018 at a single center were reviewed. Patient factors, initial treatment prescriptions, and subsequent changes to therapy were extracted from electronic health records. Regression models were used to estimate factors associated with an initial CPAP prescription and the likelihood of an adequate CPAP response (no subsequent therapy change and no discontinuation of therapy) among patients prescribed CPAP.

RESULTS

429/588 (73%) patients with central apneas received an initial trial of CPAP. Younger age, diagnosis by home sleep testing, non-opiate etiology of central apneas, and a lower proportion of central apneas at diagnosis were independently associated with a higher likelihood of an initial CPAP trial. A lower proportion of central apneas was associated with a higher probability of adequate response, while current smoking and opiate-related central apneas predicted an unsuccessful CPAP trial. A new finding was that older age predicted a lower likelihood of an initial CPAP prescription but did not predict an unsatisfactory response to CPAP.

CONCLUSION

Clinicians may incorrectly weigh certain clinical and sleep study characteristics when deciding whether to trial CPAP for patients with central apneas.

Clinical Work-Integrating Care in Current Practice: A Scoping Review

PURPOSE

Clinical work-integrating care (CWIC) refers to paying attention to work participation in a clinical setting. Working patients may benefit from CWIC. The purpose of this study is to explore the extent and nature to which medical specialists provide CWIC and what policies and guidelines oblige or recommend specialists to do.

METHODS

A scoping review was conducted. The databases MEDLINE, EMBASE, Psychinfo, CINAHL, and Web of Science were searched for studies on the extent and nature of CWIC and supplemented by gray literature on policies and guidelines. Six main categories were defined a priori. Applying a meta-aggregative approach, subcategories were subsequently defined using qualitative data. Next, quantitative findings were integrated into these subcategories. A separate narrative of policies and guidelines using the same main categories was constructed.

RESULTS

In total, 70 studies and 55 gray literature documents were included. The main findings per category were as follows: (1) collecting data on the occupation of patients varied widely; (2) most specialists did not routinely discuss work, but recent studies showed an increasing tendency to do so, which corresponds to recent policies and guidelines; (3) work-related advice ranged from general advice to patient-physician collaboration about work-related decisions; (4) CWIC was driven by legislation in many countries; (5) specialists sometimes collaborated in multidisciplinary teams to provide CWIC; and (6) medical guidelines regarding CWIC were generally not available.

CONCLUSION

Medical specialists provide a wide variety of CWIC ranging from assessing a patient's occupation to extensive collaboration with patients and other professionals to support work participation. Lack of medical guidelines could explain the variety of these practices.

Diagnostic and decision-making abilities of Swiss physiotherapists in a simulated direct access setting

BACKGROUND

Direct access to physiotherapy requires physiotherapists to recognize red flags and determine adequate management plans.

PURPOSE

Investigate Swiss physiotherapists' ability to diagnose and triage patients in a simulated direct access setting and whether their characteristics were associated with correct diagnoses and decision-making.

METHODS

We conducted a national online survey using a questionnaire containing 12 first-contact case scenarios. A linear mixed model estimated scores for correct diagnoses and management decisions, differences between musculoskeletal (MSK), non-critical medical (non-CrM), and critical medical (CrM) case scenarios, and the estimated effects of physiotherapists' characteristics.

RESULTS

The linear mixed model of data from 1492 participants estimated 55.0% correct diagnoses (62.7% for non-CrM, 61.7% for MSK, and 40.5% for CrM scenarios) and 71.2% correct management decisions (78.1% for non-CrM, 73.0% for MSK, and 62.3% for CrM scenarios). For correct diagnoses, the 'academic education/continuing education' variable showed significant estimated effects for the MSK and CrM scenarios, as did 'professional experience' for the non-CrM scenarios, and the '≥ 50% musculoskeletal patients in consultations' variable for all scenario groups. For correct management decisions, 'academic education/continuing education' variable showed significant estimated effects in CrM scenarios, as did 'professional experience' in non-CrM and CrM scenarios, and the '≥ 50% musculoskeletal patients in consultations' variable in MSK scenarios.

CONCLUSION

The estimated effects of physiotherapists' characteristics on correct diagnoses and management decisions showed substantial heterogeneity. Improving Swiss physiotherapists' screening abilities remains important. Further research is required to develop innovative educational concepts and improve training for screening for red flags.

Impact of ambulatory EEG in the management of patients with epilepsy in resource-limited Latin American populations

Objective

Ambulatory electroencephalography (AEEG) monitoring allows for prolonged recordings in normal environments, such as patients' homes, and is recognized as a cost-effective alternative to inpatient long-term video-EEG primarily in resource-limited countries. We aim to describe the impact of AEEG on the assessment of patients with suspected or confirmed epilepsy in two independent Latin-American populations with limited resources.

Methods

We included 63 patients who had undergone an AEEG due to confirmed/suspected epilepsy. Clinical (demographic, current antiseizure medication and indication) and electroencephalographic (duration of the study, result, and impact on clinical decision-making) were reviewed and compared.

Results

The main indication for an AEEG was the differentiation of seizures from non-epileptic events with 57% of patients. It was categorized as positive in 36 patients and did have an impact on the clinical decision-making process in 57% of patients. AEEG captured clinical events in 35 patients (20 epileptic and 15 non-epileptic).

Conclusions

AEEG proves to be a valuable tool in resource-limited settings for assessing suspected or confirmed epilepsy cases, with a significant impact on clinical decisions.

Significance

Our study provides valuable insights into the use of AEEG in under-resourced regions, shedding light on the challenges and potential benefits of this tool in clinical practice.

Relationship Between Baseline Prostate-specific Antigen on Cancer Detection and Prostate Cancer Death: Long-term Follow-up from the European Randomized Study of Screening for Prostate Cancer

BACKGROUND

The European Association of Urology guidelines recommend a risk-based strategy for prostate cancer screening based on the first prostate-specific antigen (PSA) level and age.

OBJECTIVE

To analyze the impact of the first PSA level on prostate cancer (PCa) detection and PCa-specific mortality (PCSM) in a population-based screening trial (repeat screening every 2-4 yr).

DESIGN, SETTING, AND PARTICIPANTS

We evaluated 25589 men aged 55-59 yr, 16898 men aged 60-64 yr, and 12936 men aged 65-69 yr who attended at least one screening visit in the European Randomized Study of Screening for Prostate Cancer (ERSPC) trial (screening arm: repeat PSA testing every 2-4 yr and biopsy in cases with elevated PSA; control arm: no active screening offered) during 16-yr follow-up (FU).

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

We assessed the actuarial probability for any PCa and for clinically significant (cs)PCa (Gleason ≥7). Cox proportional-hazards regression was performed to assess whether the association between baseline PSA and PCSM was comparable for all age groups. A Lorenz curve was computed to assess the association between baseline PSA and PCSM for men aged 60-61 yr.

RESULTS AND LIMITATIONS

The overall actuarial probability at 16 yr ranged from 12% to 16% for any PCa and from 3.7% to 5.7% for csPCa across the age groups. The actuarial probability of csPCa at 16 yr ranged from 1.2-1.5% for men with PSA <1.0 ng/ml to 13.3-13.8% for men with PSA ≥3.0 ng/ml. The association between baseline PSA and PCSM differed marginally among the three age groups. A Lorenz curve for men aged 60-61 yr showed that 92% of lethal PCa cases occurred among those with PSA above the median (1.21 ng/ml). In addition, for men initially screened at age 60-61 yr with baseline PSA <2 ng/ml, further continuation of screening is unlikely to be beneficial after the age of 68-70 yr if PSA is still <2 ng/ml. No case of PCSM emerged in the subsequent 8 yr (up to age 76-78 yr). A limitation is that these results may not be generalizable to an opportunistic screening setting or to contemporary clinical practice.

CONCLUSIONS

In all age groups, baseline PSA can guide decisions on the repeat screening interval. Baseline PSA of <1.0 ng/ml for men aged 55-69 yr is a strong indicator to delay or stop further screening.

PATIENT SUMMARY

In prostate cancer screening, the patient's baseline PSA (prostate-specific antigen) level can be used to guide decisions on when to repeat screening. The PSA test when used according to current knowledge is valuable in helping to reduce the burden of prostate cancer.

Influence of decision-making algorithms on the diagnostic accuracy using the current classification of periodontal diseases-a randomized controlled trial

OBJECTIVES

To examine the influence of the decision-making algorithms published by Tonetti and Sanz in 2019 on the diagnostic accuracy in two differently experienced groups of dental students using the current classification of periodontal diseases.

MATERIALS AND METHODS

Eighty-three students of two different clinical experience levels were randomly allocated to control and study group, receiving the staging and grading matrix, resulting in four subgroups. All diagnosed two patient cases with corresponding periodontal charts, panoramic radiographs, and intraoral photographs. Both presented severe periodontal disease (stage III, grade C) but considerably differed in complexity and phenotype according to the current classification of periodontal diseases. Controls received the staging and grading matrix published within the classification, while study groups were additionally provided with decision-trees published by Tonetti and Sanz. Obtained data was analyzed using chi-square test, Spearman's rank correlation, and logistic regression.

RESULTS

Using the algorithms significantly enhanced the diagnostic accuracy in staging (p = 0.001*, OR = 4.425) and grading (p < 0.001**, OR = 30.303) regardless of the clinical experience. In addition, even compared to the more experienced control, less experienced students using algorithms showed significantly higher accuracy in grading (p = 0.020*). No influence on the criteria extent could be observed comparing study groups to controls.

CONCLUSION

The decision-making algorithms may enhance diagnostic accuracy in dental students using the current classification of periodontal diseases.

CLINICAL RELEVANCE

The investigated decision-making algorithms significantly increased the diagnostic accuracy of differently experienced under graduated dental students and might be beneficial in periodontal education.

Evidence-Based Medicine and Pharmacotherapy Content Alignment

OBJECTIVE

When effectively executed, content alignment can aid student performance in associated courses. Limited research exists for content alignment of evidence-based medicine (EBM) and pharmacotherapy courses. This study assesses the impact of EBM and pharmacotherapy course alignment on student performance.

METHODS

Content alignment included assignment of 6 landmark trials in EBM coursework. The articles were identified by pharmacotherapy instructors as "landmark" to management of associated diseases in the aligned pharmacotherapy semester. Articles were the basis for quizzes over skills taught in the EBM course and were referenced during pharmacotherapy lectures.

RESULTS

During the alignment semester, students were more likely to cite specific guidelines and/or primary literature to rationalize pharmacotherapeutic plans on examinations compared with the prealignment period (54% vs 34%). Overall, pharmacotherapy case performance and plan rationale scores were significantly higher in the alignment semester compared with prealignment. Student performance on the Assessing Competency in Evidence-Based Medicine tool improved from the start of the semester (8.64, SD 1.66) to the end (9.5, SD 1.49; mean score +0.86). Comfort in applying EBM analysis to primary literature increased significantly between the first and final assignments, with 6.7% and 71.7% of students self-reporting a high degree of confidence, respectively. Students (73%) reported an enhanced understanding of pharmacotherapy due to alignment compared with a previous semester of pharmacotherapy without alignment.

CONCLUSION

The use of landmark trial assignments to align EBM and pharmacotherapy coursework demonstrated a positive impact on student rationale for clinical decision-making and student confidence in evaluating primary literature.