Changes in location and number of nurse consultations as the supply of general practitioners decreases in primary health care: six-year register-based follow-up cohort study in the city of Vantaa, Finland.

OBJECTIVE: To investigate whether the location and the number of nurse consultations have changed in response to the continuously decreasing number of GP consultations in the fourth-largest city in Finland. It has been suggested that nurse consultations are replacing GP consultations. DESIGN: A retrospective register-based follow-up cohort study. SETTING: Public primary health care in the City of Vantaa, Finland. SUBJECTS: All documented face-to-face office-hour consultations with practical and registered nurses, and consultations with practical and registered nurse in the emergency department of Vantaa primary health care between 1 January 2009 and 31 December, 2014. MAIN OUTCOME MEASURES: Change in the number of consultations with practical and registered nurses between 2009 and 2014 in primary health care both during office-hours and in the emergency department. RESULTS: Over the follow-up period, the monthly median number of practical nurse consultations in the emergency department per 1000 inhabitants increased from 1.6 (interquartile range [IQR] 1.3-1.7) to 10.5 (10.3-12.2) (p < 0.001) and registered nurse consultations from a median of 3.6 (3.0-4.0) to 14.5 (13.0-16.6) (p < 0.001). However, there was no significant change in the median monthly number of office-hour consultations with practical or registered nurses. CONCLUSIONS: It appears that in primary health care, medical consultations have shifted from GPs to nurses with lower education levels, and from care during office-hours to emergency care.

The number of general practitioner (GP) consultations are decreasing. Tasks are being transferred from GPs to nurses to improve access to care.The number of office-hour consultations with nurses did not change, despite the decrease in GP consultations.In the emergency department, the number of nurse consultations increased significantly when GP consultations decreased.Medical consultations seem to have shifted to the emergency department and the nurses.

The influence of the language style of the anchor on consumers' purchase intention.

Remarkably, e-commerce anchors have become one of the hot careers in the new media era. As a link between goods and consumers, anchors affect the willingness of consumers to purchase, which eventually impacts the sales volume of commodities in the live broadcast. Therefore, the language style of anchors is of vital significance. However, local and foreign research rarely investigates the interaction between the language style of anchors and different product types and the influential mechanism on consumers' purchase willingness. In light of the SOR theory's logic and from the viewpoint of consumer perceived value, this research study scrutinizes the interaction between the language styles of different authors (appealing to emotion and appealing to logic) and different types of products (hedonic products and practical products), as well as the effect mechanism on the consumers' willingness to purchase. Using questionnaire surveys and empirical analysis, this paper intends to analyze the inherent correlation between study variables, in order to extend valuable suggestions for enterprise practice.

The Art of Delegation.

The nurse staffing crisis requires nurses and administrators to think differently about how to get things done. Delegation is key to doing more work with fewer registered nurses (RNs) and retaining current RN staff. Responsibility for effective delegation does not rest solely with the RN but begins with the institution, and includes both the delegator and delegatee. While effective delegation has often been referred to as an art, knowing the science behind delegation can aid in honing a skill necessary for top of license practice.

Human Factors in AI-Driven Digital Solutions for Increasing Physical Activity: Scoping Review.

BACKGROUND: Artificial intelligence (AI) has the potential to enhance physical activity (PA) interventions. However, human factors (HFs) play a pivotal role in the successful integration of AI into mobile health (mHealth) solutions for promoting PA. Understanding and optimizing the interaction between individuals and AI-driven mHealth apps is essential for achieving the desired outcomes. OBJECTIVE: This study aims to review and describe the current evidence on the HFs in AI-driven digital solutions for increasing PA. METHODS: We conducted a scoping review by searching for publications containing terms related to PA, HFs, and AI in the titles and abstracts across 3 databases-PubMed, Embase, and IEEE Xplore-and Google Scholar. Studies were included if they were primary studies describing an AI-based solution aimed at increasing PA, and results from testing the solution were reported. Studies that did not meet these criteria were excluded. Additionally, we searched the references in the included articles for relevant research. The following data were extracted from included studies and incorporated into a qualitative synthesis: bibliographic information, study characteristics, population, intervention, comparison, outcomes, and AI-related information. The certainty of the evidence in the included studies was evaluated using GRADE (Grading of Recommendations Assessment, Development, and Evaluation). RESULTS: A total of 15 studies published between 2015 and 2023 involving 899 participants aged approximately between 19 and 84 years, 60.7% (546/899) of whom were female participants, were included in this review. The interventions lasted between 2 and 26 weeks in the included studies. Recommender systems were the most commonly used AI technology in digital solutions for PA (10/15 studies), followed by conversational agents (4/15 studies). User acceptability and satisfaction were the HFs most frequently evaluated (5/15 studies each), followed by usability (4/15 studies). Regarding automated data collection for personalization and recommendation, most systems involved fitness trackers (5/15 studies). The certainty of the evidence analysis indicates moderate certainty of the effectiveness of AI-driven digital technologies in increasing PA (eg, number of steps, distance walked, or time spent on PA). Furthermore, AI-driven technology, particularly recommender systems, seems to positively influence changes in PA behavior, although with very low certainty evidence. CONCLUSIONS: Current research highlights the potential of AI-driven technologies to enhance PA, though the evidence remains limited. Longer-term studies are necessary to assess the sustained impact of AI-driven technologies on behavior change and habit formation. While AI-driven digital solutions for PA hold significant promise, further exploration into optimizing AI's impact on PA and effectively integrating AI and HFs is crucial for broader benefits. Thus, the implications for innovation management involve conducting long-term studies, prioritizing diversity, ensuring research quality, focusing on user experience, and understanding the evolving role of AI in PA promotion.

Investigating the Performance of Frequentist and Bayesian Techniques in Genomic Evaluation.

The genomic evaluation process relies on the assumption of linkage disequilibrium between dense single-nucleotide polymorphism (SNP) markers at the genome level and quantitative trait loci (QTL). The present study was conducted with the aim of evaluating four frequentist methods including Ridge Regression, Least Absolute Shrinkage and Selection Operator (LASSO), Elastic Net, and Genomic Best Linear Unbiased Prediction (GBLUP) and five Bayesian methods including Bayes Ridge Regression (BRR), Bayes A, Bayesian LASSO, Bayes C, and Bayes B, in genomic selection using simulation data. The difference between prediction accuracy was assessed in pairs based on statistical significance (p-value) (i.e., t test and Mann-Whitney U test) and practical significance (Cohen's d effect size) For this purpose, the data were simulated based on two scenarios in different marker densities (4000 and 8000, in the whole genome). The simulated data included a genome with four chromosomes, 1 Morgan each, on which 100 randomly distributed QTL and two different densities of evenly distributed SNPs (1000 and 2000), at the heritability level of 0.4, was considered. For the frequentist methods except for GBLUP, the regularization parameter λ was calculated using a five-fold cross-validation approach. For both scenarios, among the frequentist methods, the highest prediction accuracy was observed by Ridge Regression and GBLUP. The lowest and the highest bias were shown by Ridge Regression and GBLUP, respectively. Also, among the Bayesian methods, Bayes B and BRR showed the highest and lowest prediction accuracy, respectively. The lowest bias in both scenarios was registered by Bayesian LASSO and the highest bias in the first and the second scenario were shown by BRR and Bayes B, respectively. Across all the studied methods in both scenarios, the highest and the lowest accuracy were shown by Bayes B and LASSO and Elastic Net, respectively. As expected, the greatest similarity in performance was observed between GBLUP and BRR ( d = 0.007 , in the first scenario and d = 0.003 , in the second scenario). The results obtained from parametric t and non-parametric Mann-Whitney U tests were similar. In the first and second scenario, out of 36 t test between the performance of the studied methods in each scenario, 14 ( P < . 001 ) and 2 ( P < . 05 ) comparisons were significant, respectively, which indicates that with the increase in the number of predictors, the difference in the performance of different methods decreases. This was proven based on the Cohen's d effect size, so that with the increase in the complexity of the model, the effect size was not seen as very large. The regularization parameters in frequentist methods should be optimized by cross-validation approach before using these methods in genomic evaluation.

The influence of supervisory support on clinical learning as experienced by Czech Nursing and health professional students in the context of patient safety events: A qualitative study.

AIM: To explore the influence of supervisory and mentoring relationships on the clinical learning experiences of Czech Nursing and health professional students in the context of patient safety events BACKGROUND: Clinical experience is integral to healthcare education, shaping skills, behaviours, values and professional identity. During clinical placements, students may encounter memorable patient safety events and experience varied reactions from mentors/supervisors/others. Some research has highlighted challenges faced by students on clinical placement. Few studies involve multiple professions, most emanating from Western Europe, the UK, the USA and Australia with little relating to central European countries such as the Czech Republic. DESIGN: Two stage interpretivist qualitative study based in social constructionism METHODS: Convenience sample across 13 undergraduate and 18 postgraduate health professions courses. Stage 1 (2022): using SLIPPS Learning Event Recording Tool translated into Czech. 20 students' (Midwifery=11, Nursing=1, Paramedic=1, Occupational therapy =7) submitted 21 patient safety learning event narratives. Stage 2 (2022): Focus group with 2 nursing and nine midwifery students. Phased thematic analysis involving multiple researchers. RESULTS: Three themes illustrate the circumstances and impact of placement mentoring/supervision experiences, conceptualised as: 'Clinical and Emotional Companionship', 'Clinical and Emotional Abandonment' and 'Sense of agency - Professional and personal growth'. 'Companionship' reflected the students' feelings of being welcomed, respected, heard, trusted and supported. Conversely 'abandonment' emerged from feelings of being unheard, vulnerable, humiliated, afraid, leaving students feeling abandoned, lonely and 'useless'. Notwithstanding these conditions, students showed the ability to identify patient safety issues with agency evident in reactions such as stepping-in to try to ameliorate a situation, rather than speaking-up. Professional and personal growth was also apparent in their narratives and a conceptual diagram illustrates the students' learning journeys in a patient safety context. CONCLUSION: The findings and new conceptualisations around abandonment and companionship emerging from this study expand the evidence base regarding the profound impact of clinical experience and mentorship/supervision on learning and students' emotional wellbeing. A sense of companionship appears to play a buffering role even in challenging circumstances of involvement in or witnessing compromised patients' safety. Allowing students a sense of belonging, to vent, grow, feel supported and safe to ask/learn - contributing to 'emotional safety for learning', promotes students' behaviour that may prevent/minimize hazards or ameliorate the aftermath. However, we must not simply blame mentors/supervisors, staff, or the students themselves- they are simply part of a much larger complex environment of professional education encompassing hidden curriculums, power dynamics and professional socialisation.

Buffer-free ozone-ferrate(VI) systems for enhanced oxidation of electron-deficient contaminants: Synergistic enhancement effects, systematic toxicity assessment, and practical applications.

The combination of ozone (O3) and ferrate (Fe(VI)) oxidation technology demonstrates substantial potential for practical applications, though it has been underreported, resulting in gaps in comprehensive activity assessments and thorough exploration of its mechanisms. This study reveals that the previous use of a borate buffer solution obscured certain synergistic reactions between O3 and Fe(VI), causing a reduction of activity by ∼40 % when oxidizing the electron-deficient pollutant atrazine. Consequently, we reassessed the activity and mechanisms using a buffer-salt-free O3/Fe(VI) system. Our findings showed that the hydroxyl radical (·OH) served as the predominant active species, responsible for an impressive 95.9 % of the oxidation activity against electron-deficient pollutants. Additional experiments demonstrated that the rapid production of neglected and really important superoxide radicals (·O2-) could facilitate the decomposition of O3 to generate ·OH and accelerate the reduction of Fe(VI) to Fe(V), reactivating O3 to produce ·OH anew. Intriguingly, as the reaction progressed, the initially depleted Fe(VI) was partially regenerated, stabilizing at over 50 %, highlighting the significant potential of this combined system. Moreover, this combined system could achieve a high mineralization efficiency of 80.4 % in treating actual coking wastewater, complemented by extensive toxicity assessments using Escherichia coli, wheat seeds, and zebrafish embryos, showcasing its robust application potential. This study revisits and amends previous research on the O3/Fe(VI) system, providing new insights into its activity and synergistic mechanisms. Such a combined technology has potential for the treatment of difficult-to-degrade industrial wastewater.

Implementing Formative Assessment in Human Anatomy Practical Sessions: Medical Students' Perception and Effect on Final Exam Performance.

Background: Formative assessment with feedback is part of the assessment program in medical education to improve students' learning. Limited research has focused on its application and impact on practical anatomy education. Methods: This study aimed to examine medical students' perceptions of formative assessment in practical anatomy sessions of body systems-based educational units and explore its influence on final practical exam performance. A descriptive, cross-sectional study was conducted. Data was collected from 173 Year 2 medical students through a survey that addressed their perception of process and importance of formative assessment and feedback. The survey employed a 5-point Likert scale. Two open-ended questions were appended at the end of the survey. Students' performance in Unit 3 (where formative assessment was conducted) was compared to their performance in Unit 2 (where no formative assessment was conducted) and with the performance of the previous academic year's students in Unit 3 (where no formative assessment was conducted). Descriptive statistics were used. The level of statistical significance was set at p-value < 0.05. Responses to open-ended questions (qualitative data) were counted, categorized as themes, and presented as frequencies and percentages. Results: The survey showed high internal consistency, and its validity was established through exploratory factor analysis. Results showed that the mean mark for the unit with formative assessment and feedback was significantly higher than for the units without formative assessment and feedback. Students showed positive perception of formative assessment and feedback conducted after practical anatomy sessions. They reported useful insights regarding the benefits they gained from formative assessment and feedback as well as constructive suggestions for future improvements. Conclusion: The study indicates that students positively perceived formative assessment and feedback sessions after practical anatomy sessions. Findings also refer to a positive effect of formative assessment on students' performance in summative practical assessment in anatomy.

Comparing Face-to-Face, Blended and Online Teaching Approaches for Practical Skill Acquisition: A Randomised Controlled Trial.

Introduction: The efficacy of blended and online teaching methods for practical skill acquisition remains ambiguous, particularly for skills requiring haptic awareness and/or sensory training. This study aims to compare three teaching methods (face-to-face, blended, online) for the acquisition of skills requiring sensory learning and haptic awareness. A secondary aim was to explore student experience of each teaching approach. Design: A post-test only randomised controlled trial. Methods: Forty-seven participants chose between learning two skills: manual measurement of blood pressure during exercise (BPM) and/or skin fold measurement using callipers (SKM). Participants were randomised to one of three learning groups: face-to-face (n = 23), blended (n = 22) and online (n = 26). Assessors determined skill competency during an in-person skill demonstration session. A survey captured student experiences. Results: For SKM, there was a statistically significant difference in skill competency between the online learning group (17% achieved competency) and both the face-to-face (75% achieved competency; p = 0.011) and blended (89% achieved competency; p = 0.001) learning groups. For BPM, the online group had the lowest percentage of participants achieve overall skill competency. Both knowledge-based and sensory-based sub-competencies were negatively affected by the online learning method. For both skills, students in the face-to-face and blended learning group were significantly more confident in their knowledge and their ability to perform the skill in a clinical setting, compared to the online learning group. Conclusion: Both face-to-face and blended teaching methods were more effective at leading to skill acquisition and were preferred by students when compared to a fully online teaching method.

The performance of quaternary-ammonium chitosan in wastewater treatment: The overlooked role of solubility.

Quaternary-ammonium chitosan (CT-CTA) is a popular water treatment agent, and its electropositivity and cation strength are improved compared with chitosan. The use of CT-CTA is widely advocated to remove suspended particles and organic matter from wastewater. However, the solubility of CT-CTA is an important factor affecting the performance of CT-CTA, which is a neglected problem in previous studies. In the study, CT-CTA with different solubilities were prepared by adjusting pH from 2 to 7 in preparation, and their applications were explored in wastewater. When the pH was 2, 2.5, or 3, the obtained CT-CTA was a dissolved state. The turbidity and color removal were 95 % - 98 % and 60 % - 74 %, respectively. When the pH was 4, 5, 6, or 7, the obtained CT-CTA was a solid state. The turbidity and color removal were 30 % - 63 % and 90 % - 97 %, respectively. For domestic-wastewater treatment, CT-CTA in a dissolved state removed 92 % of turbidity and 50 % of chemical oxygen demand (COD). CT-CTA in a solid state removed 86 % of turbidity and 64 % of COD with poly aluminum chloride (PAC). The results illustrated the performance of CT-CTA with different solubilities, which can broaden its application in wastewater treatment.

A Review on Small Organic Colorimetric and Fluorescent Hosts for the Detection of Cobalt and Nickel Ion.

In recent years, there has been a notable increase in efforts to advance efficient hosts for detecting cobalt and nickel ions, driven by their extensive industrial applications and environmental significance. This review meticulously examines the progress made in small organic colorimetric and fluorescent hosts tailored specifically for the sensitive and selective detection of cobalt and nickel ions. It delves into a diverse range of molecular architectures, including organic ligands, elucidating their unique attributes such as sensitivity, selectivity, and response time. Moreover, the review precisely explores the underlying principles governing the colorimetric and fluorescent mechanisms employed by these hosts, shedding light on the intricate interactions between the sensing moieties and the target metal ions. Furthermore, it critically evaluates the practical applicability of these hosts, considering crucial factors such as detection limits, recyclability, and compatibility with complex sample matrices. Additionally, exploration extends to potential challenges and prospects in the field, emphasizing the imperative for ongoing innovation to address emerging environmental and analytical demands. Eventually, through this comprehensive examination, the review seeks to contribute to the ongoing endeavor to develop robust and efficient tools for monitoring and detecting cobalt and nickel metal ions in diverse analytical scenarios.

Parameter identifiability of a within-host SARS-CoV-2 epidemic model.

Parameter identification involves the estimation of undisclosed parameters within a system based on observed data and mathematical models. In this investigation, we employ DAISY to meticulously examine the structural identifiability of parameters of a within-host SARS-CoV-2 epidemic model, taking into account an array of observable datasets. Furthermore, Monte Carlo simulations are performed to offer a comprehensive practical analysis of model parameters. Lastly, sensitivity analysis is employed to ascertain that decreasing the replication rate of the SARS-CoV-2 virus and curbing the infectious period are the most efficacious measures in alleviating the dissemination of COVID-19 amongst hosts.

Impact of a Cooking Intervention on the Cooking Skills of Adult Individuals with Type 2 Diabetes Mellitus: A Pilot Study.

OBJECTIVE: To investigate the impact of the Nutrition and Culinary in the Kitchen (NCK) Program on the cooking skills of Brazilian individuals with type 2 diabetes mellitus (T2DM). METHODS: A randomized controlled intervention study was performed, with intervention and control groups. The intervention group participated in weekly sessions of the NCK Program for six weeks (including two in-person practical cooking and three online cooking workshops). The cooking recipes were adapted by replacing high glycemic index ingredients with low and medium glycemic index alternatives. Of note, the recipes did not contain added sugars or sweeteners, were based on the use of fresh or minimally processed foods, herbs, and spices, and were sensorially tested by individuals with T2DM before use in the intervention. The study outcomes were participant score changes on the seven scales. A validated online instrument was administered to the control and intervention groups at baseline (T1) and post-intervention (T2). Parametric and non-parametric tests were used to assess the differences between the T1 and T2 parameters. RESULTS: Of the 60 individuals enrolled, 44 answered the questionnaire at both times. The findings revealed a 45.37% ± 93.57% increase in Knowledge of Cooking Terms in the intervention group, whereas the control group showed a 3.82% ± 16.17% reduction (p = 0.008). There was an increase in all the other cooking skills and healthy eating scales from T1 to T2 in the intervention group, but the differences were not significant. CONCLUSIONS: The development of cooking skills can contribute to increasing culinary knowledge and the availability of time to cook at home. The results contribute to the planning of health actions aimed at individuals with DM2 through culinary interventions and public food and nutrition policies.

A 3-D interactive microbiology laboratory via virtual reality for enhancing practical skills.

Virtual Reality (VR) laboratories are a new pedagogical approach to support psychomotor skills development in undergraduate programmes to achieve practical competency. VR laboratories are successfully used to carry out virtual experiments in science courses and for clinical skills training in professional courses. This paper describes the development and evaluation of a VR-based microbiology laboratory on Head-Mounted Display (HMD) for undergraduate students. Student and faculty perceptions and expectations were collected to incorporate into the laboratory design. An interactive 3-dimensional VR laboratory with a 360° view was developed simulating our physical laboratory setup. The laboratory environment was created using Unity with the (created) necessary assets and 3D models. The virtual laboratory was designed to replicate the physical laboratory environment as suggested by the students and faculty. In this VR laboratory, six microbiology experiments on Gram staining, bacterial streaking, bacterial motility, catalase test, oxidase test and biochemical tests were placed on the virtual platform. First-year biomedical science students were recruited to evaluate the VR laboratory. Students' perception of the virtual laboratory was positive and encouraging. About 70% of the students expressed they felt safe using the VR laboratory and that it was engaging. They felt that the VR laboratory provided an immersive learning experience. They appreciated that they could repeat each experiment multiple times without worrying about mistakes or mishaps. They could personalise their learning by concentrating on the specific experiments. Our in-house VR-based microbiology laboratory was later extended to other health professions programmes teaching microbiology.

Considering the Role of Human Empathy in AI-Driven Therapy.

Recent breakthroughs in artificial intelligence (AI) language models have elevated the vision of using conversational AI support for mental health, with a growing body of literature indicating varying degrees of efficacy. In this paper, we ask when, in therapy, it will be easier to replace humans and, conversely, in what instances, human connection will still be more valued. We suggest that empathy lies at the heart of the answer to this question. First, we define different aspects of empathy and outline the potential empathic capabilities of humans versus AI. Next, we consider what determines when these aspects are needed most in therapy, both from the perspective of therapeutic methodology and from the perspective of patient objectives. Ultimately, our goal is to prompt further investigation and dialogue, urging both practitioners and scholars engaged in AI-mediated therapy to keep these questions and considerations in mind when investigating AI implementation in mental health.

Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China.

BACKGROUND: HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YLD) rate is a significant challenge for HALE measurements. Our study aimed to construct a simple YLD rate measurement model with high applicability based on the current situation of actual data resources within China to address challenges in measuring HALE target values during planning. METHODS: First, based on the Chinese YLD rate in the Global Burden of Disease (GBD) 2019, Pearson correlation analysis, the global optimum method, etc., was utilized to screen the best predictor variables from the current Chinese data resources. Missing data for predictor variables were filled in via spline interpolation. Then, multiple linear regression models were fitted to construct the YLD rate measurement model. The Sullivan method was used to measure HALE. The Monte Carlo method was employed to generate 95% uncertainty intervals. Finally, model performances were assessed using the mean absolute error (MAE) and mean absolute percentage error (MAPE). RESULTS: A three-input-parameter model was constructed to measure the age-specific YLD rates by sex in China, directly using the incidence of infectious diseases, the incidence of chronic diseases among persons aged 15 and older, and the addition of an under-five mortality rate covariate. The total MAE and MAPE for the combined YLD rate were 0.0007 and 0.5949%, respectively. The MAE and MAPE of the combined HALE in the 0-year-old group were 0.0341 and 0.0526%, respectively. There were slightly fewer males (0.0197, 0.0311%) than females (0.0501, 0.0755%). CONCLUSION: We constructed a high-accuracy model to measure the YLD rate in China by using three monitoring indicators from the Chinese national routine as predictor variables. The model provides a realistic and feasible solution for measuring HALE at the national and especially regional levels, considering limited data.

A review of the present methods used to remediate soil and water contaminated with organophosphate esters and developmental directions.

Organophosphate esters (OPEs) are widely used commercial additives, but their environmental persistence and toxicity raise serious concerns necessitating associated remediation strategies. Although there are various existing technologies for OPE removal, comprehensive screening for them is urgently needed to guide further research. This review provides a comprehensive overview of the techniques used to remove OPEs from soil and water, including their related influencing factors, removal mechanisms/degradation pathways, and practical applications. Based on an analysis of the latest literature, we concluded that (1) methods used to decontaminate OPEs include adsorption, hydrolysis, photolysis, advanced oxidation processes (AOPs), activated sludge processes, and microbial degradation; (2) factors such as the quantity/characteristics of the catalysts/additives, pH value, inorganic ion concentration, and natural organic matter (NOM) affect OPE removal; (3) primary degradation mechanisms involve oxidation induced by reactive oxygen species (ROS) (including •OH and SO4•-) and degradation pathways include hydrolysis, hydroxylation, oxidation, dechlorination, and dealkylation; (5) interference from the pH value, inorganic ion and the presence of NOM may limit complete mineralization during the treatment, impacting practical application of OPE removal techniques. This review provides guidance on existing and potential OPE removal methods, providing a theoretical basis and innovative ideas for developing more efficient and environmentally friendly techniques to treat OPEs in soil and water.

Rapid jail-based implementation of overdose education and naloxone distribution in response to the COVID-19 pandemic.

BACKGROUND: People incarcerated in jails are highly impacted by the opioid epidemic, and overdose education and naloxone distribution (OEND) is an effective strategy to reduce opioid overdose deaths. This study examines barriers and facilitators of fast-track OEND implementation within the jails in the Wave 1 Kentucky counties of the HEALing Communities Study during the COVID-19 pandemic. METHODS: Meeting minutes with jail stakeholders were qualitatively coded using the Practical, Robust Implementation and Sustainability Model (PRISM) as the coding framework. The analysis highlighted the top barriers and facilitators to fast-track OEND implementation within the PRISM framework. RESULTS: Space and staffing shortages related to the COVID-19 pandemic, disruptions in interorganizational programming from pandemic-related service suspensions, and a lack of technological solutions (e.g., reliable Internet access) for socially distanced delivery were the top barriers to fast-track OEND implementation. In addition, there were limitations on non-jail staff access to jails during COVID-19. Top facilitators included jail leadership support, the option to prioritize high-risk groups, and the incorporation of OEND processes into existing communications and management software. While the COVID-19 pandemic strained jail infrastructure, jail and partner agency collaboration led to creative implementation strategies for the successful integration of OEND into jail operations. Urban jails were more likely than rural jails to be early adopters of OEND during the public health emergency. CONCLUSIONS: Understanding the barriers to and facilitators of OEND within jails will improve implementation efforts seeking to curb opioid overdose deaths. Jail leadership support and interorganizational efforts were key facilitators to implementation; therefore, it is recommended to increase buy-in with multiple agencies to promote success. Challenges brought on by COVID-19 have resulted in a need for innovative solutions for implementation. CLINICAL TRIAL INFORMATION: ClinicalTrials.gov, NCT04111939, Submitted 30 September 2019, https://clinicaltrials.gov/study/NCT04111939?titles=HEALing%20Communities%20Study&rank=1 .

Perspectives on Artificial Intelligence in Nursing in Asia.

Artificial intelligence (AI) is reshaping health care, including nursing, across Asia, presenting opportunities to improve patient care and outcomes. This viewpoint presents our perspective and interpretation of the current AI landscape, acknowledging its evolution driven by enhanced processing capabilities, extensive data sets, and refined algorithms. Notable applications in countries such as Singapore, South Korea, Japan, and China showcase the integration of AI-powered technologies such as chatbots, virtual assistants, data mining, and automated risk assessment systems. This paper further explores the transformative impact of AI on nursing education, emphasizing personalized learning, adaptive approaches, and AI-enriched simulation tools, and discusses the opportunities and challenges of these developments. We argue for the harmonious coexistence of traditional nursing values with AI innovations, marking a significant stride toward a promising health care future in Asia.

Practical approach to acute pancreatitis: from diagnosis to the management of complications.

The purpose of this review is to provide a practical guide for the clinical care of patients with acute pancreatitis (AP) from the management of the early phases of disease to the treatment of local complications. AP is one of the most frequent causes of gastroenterological admission in emergency departments. It is characterized by a dynamic and unpredictable course and in its most severe forms, is associated with organ dysfunction and/or local complications, requiring intensive care with significant morbidity and mortality. Initial therapy includes adequate fluid resuscitation, nutrition, analgesia, and when necessary critical care support. In recent years, the development of minimally invasive tailored treatments for local complications, such as endoscopic drainage, has improved patients' acceptance and outcomes. Despite this, the management of AP remains a challenge for clinicians. The present review was conducted by the authors, who formulated specific questions addressing the most critical and current aspects of the clinical course of AP with the aim of providing key messages.