This review article assesses the effectiveness and limitations of strategies to reduce falls among hospitalized older adults with frailty and dementia. It explores the efficacy of existing fall prevention strategies for a cohort that is acutely susceptible to falls and fall-related consequences. A systematic literature search was conducted across MEDLINE, Embase, CINAHL, and PsycINFO, employing Medical Subject Headings (MeSH) to identify studies on fall prevention strategies in hospitalized older adults with both dementia and frailty published from 2013 to 2023. The initial 643 records were distilled to eight articles, with Structured Interdisciplinary Bedside Rounds (SIBR) emerging as a notable intervention. SIBR demonstrated a reduction in falls by fostering improved interdisciplinary communication and care planning. However, a decline in family engagement during consecutive sessions suggests a need for strategies to sustain familial involvement. The findings advocate for patient-centered interventions that address the cognitive and functional challenges faced by this cohort of older adults. This review advocates for comprehensive and inclusive research in hospital environments to improve fall prevention strategies for frail older adults with dementia.

Antibiotic resistance poses a significant threat to global public health due to complex interactions between bacterial genetic factors and external influences such as antibiotic misuse. Artificial intelligence (AI) offers innovative strategies to address this crisis. For example, AI can analyze genomic data to detect resistance markers early on, enabling early interventions. In addition, AI-powered decision support systems can optimize antibiotic use by recommending the most effective treatments based on patient data and local resistance patterns. AI can accelerate drug discovery by predicting the efficacy of new compounds and identifying potential antibacterial agents. Although progress has been made, challenges persist, including data quality, model interpretability, and real-world implementation. A multidisciplinary approach that integrates AI with other emerging technologies, such as synthetic biology and nanomedicine, could pave the way for effective prevention and mitigation of antimicrobial resistance, preserving the efficacy of antibiotics for future generations.

BACKGROUND: Child maltreatment is a global problem that puts children at risk of mental illness, substance abuse, and premature death. Interdisciplinary collaboration is important in preventing and detecting child maltreatment. In Norway, children undergo universal preventive health assessments and receive complimentary follow-up care from specialized public health nurses in child and family health clinics. These nurses conduct regular check-ups and home visits to monitor children for signs of maltreatment.
OBJECTIVE: The objective of this study is to describe how public health nurses at child and family health clinics follow the National Clinical Guidelines to prevent and detect child maltreatment, with a particular focus on clinical procedures and interdisciplinary collaboration. Furthermore, we aim to determine factors that are associated with identification of child maltreatment.
METHODS: A cross-sectional online survey was conducted among public health nurses working in primary care between October 24th and December 31st, 2022. Public health nurses who worked with children aged 0-5 years and had consultations with families were eligible to participate, resulting in 554 responses. The study employed descriptive analysis, including frequency, percentage and mean, as well as a two-step logistic regression analysis. The study was approved by the relevant authority, and informed consent was obtained through questionnaire completion.
RESULTS: The public health nurses in this study displayed strong adherence to the guidelines and utilized various comprehensive assessment procedures to monitor child well-being, growth, and development. However, there was limited and infrequent collaboration with other professionals, such as child protection services, general practitioners, and hospitals. Most public health nurses reported occasional suspicion of child maltreatment, with age and years of experience in child and family clinics influencing these suspicions. Older public health nurses were more likely to suspect physical violence, while those with less than two years of experience reported less experience in suspecting maltreatment. Additional education increased the probability of suspecting sexual violence.
CONCLUSIONS: This study provides insights into the practices of public health nurses in Norway regarding the detection and prevention of child maltreatment in child and family clinics. While adherence to guidelines is strong, suspicion of maltreatment is relatively rare. Collaboration across agencies is crucial in addressing child maltreatment. Age and experience may influence the detection of maltreatment. Improved collaboration, targeted guidelines, and ongoing professional development are needed to enhance child protection.

BACKGROUND: Communication and collaboration are integral in radiation oncology practice. A recently published qualitative study identified several deficiencies in skills development for Australian/New Zealand trainees. We aim to validate these findings to guide curriculum development.
METHODS: A quantitative survey was developed through an iterative process, using themes identified in the previous qualitative investigation. This survey was distributed to radiation oncologists and trainees across Australia and New Zealand via email. Data collection and management utilised the REDCap system. Question types varied to maximise richness of data, including ranking, likert-scales and free-text questions. Results are primarily reported descriptively.
RESULTS: Totally 35 participants submitted completed survey responses with broad representation across geography, gender and clinician seniority. To learn communication, participants reported strong preferences towards informal observation (60% agreement) and self-reflection (49% agreement), and against online learning (77% disagreement) methodologies. Nearly 35% acknowledge poor communication at least weekly, with time pressure being a major barrier (63% agreement). Clinical uncertainty and existing patient/family assumptions (both 74% agreement) contribute to difficulties in breaking bad news, with online learning being the only negatively perceived training modality (23% agreement). No participants reported any formal training/mentoring in multi-disciplinary team (MDT) engagement. Conflict was commonly witnessed/experienced (97%) and 26% of participants avoid MDTs due to difficulties experienced.
CONCLUSIONS: This study validates the themes previously identified. We identified a strong preference for informal learning methodologies and against online modules, discordant to published literature. Effective collaboration within MDTs is identified as a particular area of need. We recommend future curriculum modification considers these results to maximise efficacy.

This case report chronicles the diagnostic odyssey and resolution of a 27-year-old female with a complex neurodevelopmental disorder (NDD) using Whole Exome Sequencing (WES). The patient presented to a precision medicine clinic with multiple diagnoses including intellectual disability, autism spectrum disorder (ASD), obsessive-compulsive disorder (OCD), tics, seizures, and pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections (PANDAS). Although this patient previously had chromosomal microarray and several single-gene tests, the underlying cause of this patient\'s symptoms remained elusive. WES revealed a pathogenic missense mutation in the HNRNPU gene, associated with HNRNPU-related neurodevelopmental disorder (HNRNPU-NDD) and developmental and epileptic encephalopathy-54 (DEE54, OMIM: # 617391). Following this diagnoses, other treating clinicians identified additional indications for genetic testing, however, as the WES data was readily available, the clinical team was able to re-analyze the WES data to address their inquiries without requiring additional tests. This emphasizes the pivotal role of WES in expediting diagnoses, reducing costs, and providing ongoing clinical utility throughout a patient\'s life. Accessible WES data in primary care settings can enhance patient care by informing future genetic inquiries, enhancing coordination of care, and facilitating precision medicine interventions, thereby mitigating the burden on families and the healthcare system.

In the research published in the World Journal of Clinical Cases, Wang and Long conducted a quantitative analysis to delineate the risk factors for intensive care unit-acquired weakness (ICU-AW) utilizing advanced machine learning methodologies. The study employed a multilayer perceptron neural network to accurately predict the incidence of ICU-AW, focusing on critical variables such as ICU stay duration and mechanical ventilation. This research marks a significant advancement in applying machine learning to clinical diagnostics, offering a new paradigm for predictive medicine in critical care. It underscores the importance of integrating artificial intelligence technologies in clinical practice to enhance patient management strategies and calls for interdisciplinary collaboration to drive innovation in healthcare.

Interdisciplinary communication and collaboration are crucial in the care of people with multiple long-term conditions (MLTCs) yet are often experienced as insufficient. Through the lens of complexity science, this study aims to explain how healthcare professionals (HCPs) adapt to emerging situations in the care of patients with MLTC by examining interdisciplinary communication and collaboration in the outpatient hospital setting. We used the constant comparative method to analyze transcribed data from seven focus groups with twenty-one HCPs to generate a constructivist grounded theory of \'interdisciplinary communication and collaboration in the outpatient setting of the hospital for patients with multiple long-term conditions\'. Our theory elucidates the various pathways of communication and collaboration. Why, when, and how team members choose to collaborate influences if and to what degree tailored care is achieved. There is great variability and unpredictability to this process due to internalized rules, such as beliefs on the appropriateness to deviate from guidelines, and the presence of an interprofessional identity. We identified organizational structures that influence the dynamics of the care team such as the availability of time and financial compensation for collaboration. As we strive for tailored care for patients with MLTC, our theory provides promising avenues for future endeavors.

Designers\' work processes are shaped by a four-phase \'discover, define, develop, and deliver\' model that alternates between divergent and convergent thinking. We suggest consideration of this conceptual scaffold in \'design sprint\' workshops for graduate students in the life sciences and in design to promote creativity, interdisciplinary collaboration, and knowledge cocreation.

Antimicrobial resistance (AMR) is a major threat in the Eastern Mediterranean region (EMR) due to factors such as the high prevalence of infectious diseases, weak health systems, and the misuse of antimicrobials. This paper aims to discuss how interdisciplinary action and collaboration, specifically through antimicrobial stewardship (AMS) and the One Health approach, can effectively address AMR in the EMR. The review focuses on successful AMS initiatives and the adoption of the One Health approach in countries within the EMR, including the Gulf Cooperation Countries (GCC), Egypt, Iran, Jordan, and Pakistan. The goal is to highlight the potential for progress in combating AMR and identify challenges and opportunities for strengthening interdisciplinary collaboration. The results showcase successful AMS programs and One Health initiatives in various EMR countries, demonstrating their potential to address AMR challenges. The paper also discusses the challenges faced by these nations, such as limited resources, fragmented health systems, and knowledge gaps. Additionally, opportunities for enhancing interdisciplinary action through regional cooperation, international partnerships, and research and innovation are outlined. In conclusion, this paper emphasizes the importance of a comprehensive and collaborative response to combat AMR in the EMR. It advocates for the One Health approach as a crucial framework to guide these efforts, promoting coordinated action, improved surveillance, responsible antimicrobial use, and enhanced interdisciplinary collaboration to effectively mitigate the threat of AMR.

BACKGROUND: Direct oral anticoagulants (DOACs) are increasingly used and can be involved in clinically relevant drug-drug interactions (DDIs) that increase the risk of major bleeding or thromboembolism. Skilled drug interaction management is essential to ensure safe and effective use of DOACs. In this study, we aimed to investigate the impact of the detection and management of DDIs with DOACs in a real-life community pharmacy setting on the pharmacotherapy of DOAC users.
METHODS: We conducted an intervention study in 201 community pharmacies in Belgium. On random days, patients purchasing DOACs or drugs known to interact with them were screened. When a DDI with the DOAC was detected, the pharmacist contacted the prescribing physician to discuss the management of the interaction. A previously developed practice-oriented DDI list accompanied by management plans for ambulatory care was used for both screening and management of the DDIs.
RESULTS: In total, 751 patients were included, among whom 875 DDIs were identified, primarily pharmacodynamic DDIs (95.7 %). Predominant interacting drug classes included selective serotonin or serotonin and norepinephrine reuptake inhibitors (32.9 %), antiplatelets (30.9 %), and non-steroidal anti-inflammatory drugs (28.9 %). In 43.0 % of DDIs, an intervention was decided upon. At three-month follow-up, proposed pharmacotherapy changes had been implemented in 79.1 % of these DDIs.
CONCLUSIONS: This study demonstrates that active screening and management of DDIs with DOACs in community pharmacies, in close collaboration with prescribing physicians, resulted in changes in pharmacotherapy in a substantial number of patients. This may contribute significantly to the safer utilisation of DOACs in high-risk populations.