Factors influencing the continuity of evidence-based practice in perioperative airway management for elderly patients with fractures:A qualitative study

BACKGROUND More and more evidence-based practices are emerging,but researchers mostly focus on short-term effects,resulting in evidence-based practices not being applied in the clinic in the long term.In this study,we took the evidence-based practice of perioperative airway management in elderly fracture patients as an example and adopted a descriptive phenomenological approach to understand the influencing factors of its sustainability to provide a reference basis for promoting the continuity of evidence-based practice in the clinic.AIM To explore factors influencing the persistence of evidence-based practice in perioperative airway management in elderly patients with fractures.METHODS This study was qualitative research.Nine nurses who implemented evidencebased practice in the orthopedic ward of a tertiary comprehensive hospital in Shanghai from September 2023 to October 2023 were selected using purposive sampling as research subjects.Semi-structured interviews were conducted with them,and the data were analyzed using the Colaizzi phenomenological analysis method based on the three dimensions and ten factors of the NHS sustainability model.RESULTS Three main themes and ten subthemes were identified:Process aspects(benefits to patients,benefits to nurses,lack of follow-up,complex processes);staff aspects(insufficient human resources,inadequate training and education,lack of leadership support);and organizational environment aspects(inadequate infrastructure,poor patient compliance,poor doctor cooperation).CONCLUSION Human resources,training and education,leadership support,infrastructure,and patient-physician collaboration are important factors influencing the sustainability of evidence-based practice for perioperative airway management in older patients with fractures.

Clinical Practice of Evidence-Based PDCA Cycle Management Model in Accelerated Recovery of Lung Cancer Patients

Objective: To explore the nursing effect of evidence-based PDCA cycle management mode in accelerated rehabilitation of patients undergoing thoracoscopic lung cancer radical surgery. Methods: 104 patients who underwent thoracoscopic lung cancer radical surgery in our hospital from June 2022 to February 2023 were randomly divided into control group and intervention group, with 52 cases in each group. The control group implemented evidence-based ERAS clinical pathway management, while the intervention group implemented evidence-based PDCA cycle quality management. The postoperative recovery of the two groups of patients was compared. Results: The postoperative recovery of the intervention group was significantly better than that of the control group. The first time to get out of bed, the first time to eat, the duration of chest drainage tube placement, and the length of hospital stay were significantly shorter than those of the control group. The incidence of postoperative chest complications and hospitalization costs were significantly lower than those of the control group, and patient satisfaction was significantly higher than that of the control group (P Conclusion: Evidence-based PDCA cycle quality management mode can effectively improve the implementation quality of accelerated rehabilitation nursing for patients undergoing thoracoscopic lung cancer radical surgery, and it is worthy of clinical promotion.

Evidence-Based Nursing Practice of Reducing Immune-Related Skin Toxicity of Tumor Patients Guided by Sensitive Indicators

Purpose research on nursing sensitive indicators in tumor Patients application effect in immune-related skin toxicity management. Method select our hospital April to June, 202360 cases patients with immune therapy settings as the control group. August-October, 2023 60 cases the patients treated with immune therapy were the experimental group. The control group adopted regular nursing methods, while the experimental group sensitive Indicators, evidence-based give preventive care. The social situation, psychological state, physical function, quality of life score, incidence of skin toxicity caused by immune checkpoint inhibitors, moderate and above of the two groups of patients were compared. Incidence of skin toxicity. Result: experience group SAS score, SDS score higher than the control group, the difference was statistically significant (P < 0.05);The incidence of skin toxic reactions caused by immune checkpoint inhibitors and the incidence of moderate and above skin toxic reactions in the experimental group are lower than those in the control group, and the difference is statistically significant (P < 0.05). Conclusion: sensitive indicator guidance evidence-based preventive care can reduce the degree of immune-related skin toxicity, improve the psychological state and quality of life of tumor patients treated with immune therapy and reduce the incidence of adverse reactions, improve nursing quality and patient satisfaction.

Evidence-Based Design Application of Water Landscaping for Rehabilitation Gardens for Patients with Mental Disorders

The aim of the article is to explore the influence of the water landscape design of a rehabilitation garden for patients with mental disorders on the recovery effect of patients,intending to provide a better rehabilitation environment for patients with mental disorders.Based on literature research,this article reviews three aspects of evidence-based design theory,the concept of water landscape in rehabilitation gardens,and the types of water features in rehabilitation gardens.The results show that well-designed water features can significantly improve patients’psychological state and reduce anxiety and stress,and that water landscape design in rehabilitation gardens is an effective rehabilitation tool that can facilitate the recovery process of patients with mental disorders.Future designs should take into full consideration patients’needs and preferences,as well as best practices in waterscape design,to maximize its positive impact on patients’recovery.

Improving the Selection Model of Essential Medicines in China by Evidence-based Thinking

Objective To sort out the problems in the selection model of essential medicines in China,and to put forward some suggestions to optimize the selection model to ensure the rationality of the medicines in the essential medicines list.Methods The domestic and foreign literature on the selection of essential medicines was reviewed.Then,the opinions on the selection methods and results of essential medicines from foreign literature were investigated to make a comparison with the selection of essential medicines in China.Finally,the general and special laws of the selection process of the essential medicines were explored.Results and Conclusion It is recommended that the selection model of essential medicines in China should be further optimized,and the evidence-based thinking and methods should be utilized to enhance the scientific nature of the selection process.

A Study on the Application of Evidence-Based Nursing in The Care of Patients with Severe Acute Pancreatitis

Objective: To explore the application research of evidence-based nursing in the care of patients with severe acute pancreatitis. Methods: This study focuses on evidence-based nursing care of severe acute pancreatitis. Patients with severe acute pancreatitis who received treatment in our hospital were selected, from which 80 cases were chosen for detailed analysis. The patients were randomly grouped into a control group (conventional nursing care) and a study group (evidence-based nursing care), with 40 patients each. Relevant research data were recorded during the nursing process, analyzed, and used as research indicators. Results: The hospitalization time and morbidity and mortality rate of the research group were shorter than those of the control group, and the recovery rate was higher than that of the control group (P < 0.05). Patient satisfaction with nursing care in the observation group was higher than in the control group (P < 0.05). Conclusion: For patients with severe acute pancreatitis, the use of evidence-based nursing methods effectively reduced the patient’s mortality rate, improved its curative effect, and also shortened the patient’s hospitalization time.

Improving Statistical Literacy through Evidence-Based Strategies Among First-Year Education Students in a State University

Statistical literacy is crucial for cultivating well-rounded thinkers.The integration of evidence-based strategies in teaching and learning is pivotal for enhancing students’statistical literacy.This research specifically focuses on the utilization of Share and Model Concepts and Nurturing Metacognition as evidence-based strategies aimed at improving the statistical literacy of learners.The study employed a quasi-experimental design,specifically the nonequivalent control group,wherein students answered pre-test and post-test instruments and researcher-made questionnaires.The study included 50 first-year Bachelor in Secondary Education majors in Mathematics and Science for the academic year 2023-2024.The results of the study revealed a significant difference in the scores of student respondents,indicating that the use of evidence-based strategies helped students enhance their statistical literacy.This signifies a noteworthy increase in their performance,ranging from very low to very high proficiency in understanding statistical concepts,insights into the application of statistical concepts,numeracy,graph skills,interpretation capabilities,and visualization and communication skills.Furthermore,the study showed a significant difference in the post-test scores’performance of the two groups in understanding statistical concepts and visualization and communication skills.However,no significant difference was found in the post-test scores of the two groups concerning insights into the application of statistical concepts,numeracy and graph skills,and interpretation capabilities.Additionally,students acknowledged that the implementation of evidence-based strategies significantly contributed to the improvement of their statistical literacy.

Necessary prerequisites for evidence-based practice:results of investigating nurses'informatics competency and information literacy skills

This study aimed to evaluate the correlation between nursing informatics(NI)competency and information literacy skills for evidencebased practice(EBP)among intensive care nurses.This cross-sectional study was conducted on 184 nurses working in intensive care units(ICUs).The study data were collected through demographic information,Nursing Informatics Competency Assessment Tool(NICAT),and information literacy skills for EBP questionnaires.The intensive care nurses received competent and low-moderate levels for the total scores of NI competency and information literacy skills,respectively.They received a moderate score for the use of different information resources but a low score for information searching skills,different search features,and knowledge about search operators,and only 31.5%of the nurses selected the most appropriate statement.NI competency and related subscales had a significant direct bidirectional correlation with information literacy skills for EBP and its subscales(P<0.05).Nurses require a high level of NI competency and information literacy for EBP to obtain up-to-date information and provide better care and decision-making.Health planners and policymakers should develop interventions to enhance NI competency and information literacy skills among nurses and motivate them to use EBP in clinical settings.

Research on the Application of Evidence-Based Quality Control Circle to Improve the Implementation Rate of Airway Management Measures in Adult Critically Ill Patients

Objective: To explore the effect of evidence-based quality control circle (QCC) in improving the implementation rate of airway management measures in adult critically ill patients. Methods: Based on the Joanna Briggs Institute (JBI) evidence-based health care model, the best evidence of airway management in adult critically ill patients was obtained and applied to the clinic. Results: The total implementation rate of airway management measures in adult critically ill patients increased from 23.62% before the implementation of quality control circle to 88.82%, and the pulmonary infection rate in critically ill patients decreased from 42.31% to 21.74%, with statistical significance between the two groups (P 0.05). Conclusion: Evidence-based quality control circle activities can standardize the practice standards of airway management in critically ill patients, reduce the occurrence of patients’ airway related complications, and improve clinical outcomes.

Nurses’ and midwives’ participation and utilization of health-related research in Kenya: Implications for evidence-based practice

Objective To assess the level of participation of nurses and midwives in health-related research,determine the status of utilization of research to inform nursing and midwifery practice in Kenya,and explore perspectives of nurses and midwives about strategies to empower nurses/midwives to engage in health research in Kenya.Methods Data were extracted from online survey responses of 156 nurse and midwife educators,practitioners,and managers/administrators.SPSS version 26 was used to analyze quantitative data;qualitative data were analyzed using Excel to organize data into categories.Results Over one-third of participants reported ever publishing research(37.2%,58/156).Participants reported using knowledge gained in nursing school to guide practice most frequently(n=148).Utilization of research findings to guide practice was reported by 80.3%(110/137)of participants.Strategies to enhance participation in the research included research training,research forums,policy reforms,and emphasis on research in curricula.Conclusions There is need to intensify and prioritize proposed strategies to empower nurses/midwives to engage in health research.

Validation of short version of evidence-based practice instruments among nurses in clinical practice:Evidence-based practice beliefs,implementation,and organizational culture

Objective:The objective of the study is to validate the short version of evidence-based practice(EBP)instruments among nurses in clinical practice.Methods:An institutional-based cross-sectional research design was used and a stratified sampling technique to select 285 nurse clinicians.The study utilized a structured questionnaire comprising of demographic data from the participants and three validated scales:the shortened versions of the EBP Beliefs Scale,the EBP Implementation Scale,and the Organizational Culture and Readiness for System-Wide Integration of Evidence-Based Practice(OCRSIEP)survey.With the use of descriptive statistics,the data were analyzed and presented in frequencies and percentages,while inter-item correlation coefficient(ICC)and the Kaiser-Meyer-Olkin measure of sampling adequacy were used to confirm the validity of using factor analysis.Results:Findings revealed the mean scores of the EBP Beliefs Scale ranged from 1.50 to 1.61,EBP Implementation Scale ranged from 1.84 to 1.94,and the OCRSIEP Scale ranged from 1.93 to 2.19.All the three shortened scales accordingly had good internal reliability,29.30±9.93 out of 80 for the EBP Beliefs Scale,19.56±7.37 out of 72 for the EBP Implementation Scale,and 66.32±20.35 out of 125 for the OCRSIEP Scale.Conclusion:This study has generated a valid Short Version of EBP reliable instrument that is psychometrically robust that can be used by nurses and clinicians to evaluate EBP in clinical settings since the results presented as a whole confirmed the high reliability and factorial validity.

Application of evidence-based medicine methods in integrative oncology research

To present the advances of evidence-based medicine and clinical research methodology in integrative oncology,we conducted a literature review of real-world studies of traditional Chinese medicine(TCM)in cancer care and summarized the available evidence.Pragmatic randomized controlled trials(pRCTs)and clinical registry studies are becoming more popular as they could compensate for the limitations of RCTs.Many RCTs of TCM for cancer treatment as well as systematic reviews have been published.The most investigated therapies are based on acupuncture,Chinese herbal compounds,and Chinese patent medicines.Acupuncture has a significant advantage in relieving cancer-related symptoms.Published studies focus more on improving clinical symptoms and laboratory indicators.However,the patient's quality of life deserves more attention.

Clinical application of multidisciplinary team-and evidence-based practice project in gynecological patients with perioperative hypothermia

BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patients with PH.AIM To apply the best evidence on the prevention and management of PH in gynecological patients,improve the quality of perioperative evidence-based care based on treatment by an MDT for gynecological patients and analyze the effect of MDT-and evidence-based practice(EBP)projects on the psychological status and cognitive function of gynecological patients with PH.METHODS Under the guidance of knowledge translation and combined with the opinions of involved stakeholders and clinical experts,the best evidence for PH prevention and management in gynecological patients was selected and adjusted to suit the practice setting.Based on the evidence,the practice plan was developed,and the MDT intervention was carried out in the preoperative ward,the preoperative preparation room,the intraoperative operating room,the postanesthesia care unit,and the 24-hour postoperative gynecological ward through the EBP program.The incidence of hypothermia,the nurses’awareness,the implementation rate of examination indicators,and the thermal comfort level,psychological status and cognitive function of patients were compared before and after the implementation of the program.RESULTS The incidence of PH in gynecological patients decreased from 43.33%to 13.33%after the implementation of the scheme.The implementation rate of examination indicators 6-10,12,14,16-18,21,and 22 reached 100%,and that of other indicators was above 90%,except for examination indicators 5 and 13,which was 66.67%;the indices were significantly improved compared with the baseline(before evidence application)(P<0.05).The score of nurses'awareness of PH prevention and management in gynecological patients increased from 60.96±9.70 to 88.08±8.96,and the difference was statistically significant(P<0.001).The total score of the perioperative thermal comfort level of patients undergoing gynecological surgery was 27.97±2.04,which was significantly increased compared with the score of 21.27±1.57 observed by researchers at baseline(P<0.001).The perioperative Hamilton Depression Scale and Hamilton Anxiety Scale scores of patients undergoing gynecological surgery decreased from 15.03±3.16 and 13.93±2.64 to 4.30±1.15 and 3.53±0.78,respectively,with statistically significant differences(P<0.001).The perioperative Montreal Cognitive Assessment Scale score of the gynecological surgery patients increased from 23.17±1.68 to 26.93±1.11,also with statistical significance(P<0.001).CONCLUSION MDT-based EBP for PH prevention and management in gynecological patients during the perioperative period can standardize nursing operations,improve nurses'awareness and behavioral compliance with gynecological hypothermia management,and reduce the occurrence of PH in gynecological patients while playing a positive role in reducing patients’negative emotions and enhancing their cognitive function.

Analysis of Adaptation Process of Evidence-Based Interventions by Taking Post-Stroke Dysphagia Screening As an Example--Based on a Series of Empirical Studies

Background:Evidence-based interventions(EBIs)are frequently adapted or modified during the implementation process to meet the needs of the target context,public health professionals,or health practitioners.However,little is known about how the EBIs of the same clinical problem at a different time(sustainability)and a different setting(scalability)should be adapted to facilitate implementation.To address this gap,this research aims to analyze the adaptations process of EBIs by taking post-stroke dysphagia screening as an example based on a series of empirical studies.Methods:We reviewed three best practice implementation projects of post-stroke dysphagia identification and management in China's Mainland,and conducted a comparative analysis of three projects of dysphagia screening practical decision-making according to core elements of evidence-based nursing(EBN).Results:We identified the core elements of EBN that influence decision-making in each best practice implementation project.The decision-making of screening time and tool for dysphagia in the three projects varied.Project 1:Post-stroke dysphagia was screened using Water Swallow Test(WST)before the first intake of liquid or food.Project 2:A sustainability study based on project 1,post-stroke dysphagia was screened using Standardized Swallowing Assessment(SSA)before the first intake of liquid or food,within 24 hours of admission.Project 3:A community scalability study based on project 2,post-stroke dysphagia was screened using Water Swallow Test(WST)before the first intake of liquid or food,within 24 hours after referral.Conclusions:Adaption of EBIs needs to fully consider the best available external evidence from systematic research,clinical expertise,patient preferences,as well as context.

New evidence-based practice:Artificial intelligence as a barrier breaker

The concept of evidence-based practice has persisted over several years and remains a cornerstone in clinical practice,representing the gold standard for optimal patient care.However,despite widespread recognition of its significance,practical application faces various challenges and barriers,including a lack of skills in interpreting studies,limited resources,time constraints,linguistic competencies,and more.Recently,we have witnessed the emergence of a groundbreaking technological revolution known as artificial intelligence.Although artificial intelligence has become increasingly integrated into our daily lives,some reluctance persists among certain segments of the public.This article explores the potential of artificial intelligence as a solution to some of the main barriers encountered in the application of evidence-based practice.It highlights how artificial intelligence can assist in staying updated with the latest evidence,enhancing clinical decision-making,addressing patient misinformation,and mitigating time constraints in clinical practice.The integration of artificial intelligence into evidence-based practice has the potential to revolutionize healthcare,leading to more precise diagnoses,personalized treatment plans,and improved doctor-patient interactions.This proposed synergy between evidencebased practice and artificial intelligence may necessitate adjustments to its core concept,heralding a new era in healthcare.

The artificial intelligence evidence-based medicine pyramid

Several studies exist in the literature regarding the exploitation of artificial intelligence in intensive care.However,an important gap between clinical research and daily clinical practice still exists that can only be bridged by robust validation studies carried out by multidisciplinary teams.

Application Value of Evidence-Based Nursing in the Perioperative Care of Ankle Fracture Patients

Objective:To analyze the value of applying evidence-based nursing in the perioperative care of patients with ankle fractures and propose corresponding measures to improve the quality of patient care.Methods:The study started in May 2022 and was terminated in March 2023.During this period,50 patients with ankle fractures treated by our hospital were selected as research subjects.They were divided into a control group and a research group.The control group had 25 patients who received routine care,and the research group had 25 who received evidence-based care.The nursing effects of the two groups were observed and compared.Results:The pain scores,quality of life,incidence of adverse reactions,and nursing satisfaction of patients in the research group were all significantly better than those in the control group(P<0.05).Conclusion:Evidence-based nursing can effectively improve the quality of care,reduce the risk of adverse reactions,and promote patient recovery,so it is suitable for clinical implementation.

Reinforcement Learning in Process Industries:Review and Perspective

This survey paper provides a review and perspective on intermediate and advanced reinforcement learning(RL)techniques in process industries. It offers a holistic approach by covering all levels of the process control hierarchy. The survey paper presents a comprehensive overview of RL algorithms,including fundamental concepts like Markov decision processes and different approaches to RL, such as value-based, policy-based, and actor-critic methods, while also discussing the relationship between classical control and RL. It further reviews the wide-ranging applications of RL in process industries, such as soft sensors, low-level control, high-level control, distributed process control, fault detection and fault tolerant control, optimization,planning, scheduling, and supply chain. The survey paper discusses the limitations and advantages, trends and new applications, and opportunities and future prospects for RL in process industries. Moreover, it highlights the need for a holistic approach in complex systems due to the growing importance of digitalization in the process industries.

NADARAYA-WATSON ESTIMATORS FOR REFLECTED STOCHASTIC PROCESSES

We study the Nadaraya-Watson estimators for the drift function of two-sided reflected stochastic differential equations.The estimates,based on either the continuously observed process or the discretely observed process,are considered.Under certain conditions,we prove the strong consistency and the asymptotic normality of the two estimators.Our method is also suitable for one-sided reflected stochastic differential equations.Simulation results demonstrate that the performance of our estimator is superior to that of the estimator proposed by Cholaquidis et al.(Stat Sin,2021,31:29-51).Several real data sets of the currency exchange rate are used to illustrate our proposed methodology.

Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant profitability.Although numerous automatic detection techniques have been proposed,most of them can only address part of the practical difficulties.An oscillation is heuristically defined as a visually apparent periodic variation.However,manual visual inspection is labor-intensive and prone to missed detection.Convolutional neural networks(CNNs),inspired by animal visual systems,have been raised with powerful feature extraction capabilities.In this work,an exploration of the typical CNN models for visual oscillation detection is performed.Specifically,we tested MobileNet-V1,ShuffleNet-V2,Efficient Net-B0,and GhostNet models,and found that such a visual framework is well-suited for oscillation detection.The feasibility and validity of this framework are verified utilizing extensive numerical and industrial cases.Compared with state-of-theart oscillation detectors,the suggested framework is more straightforward and more robust to noise and mean-nonstationarity.In addition,this framework generalizes well and is capable of handling features that are not present in the training data,such as multiple oscillations and outliers.