Factors influencing the reimbursement of cancer drugs in Europe: A scoping review.

RATIONALE: Reimbursement process of oncology drugs in Europe occurs within a complex decision-making process that varies between Member States. Distinctions between the States trigger societal debates since it is necessary to balance access to medicines and health systems sustainability. AIMS AND OBJECTIVES: We aimed to review the evidence concerning factors associated with the reimbursement decision or Health Technology Agency recommendation of oncology drugs in Europe. METHODS: A systematic literature search was performed in two databases from inception to august 2023. Screening and data extraction were performed by pairs. RESULTS: Thirteen articles were included and encompassed data from 11 nations. Seven articles showed that cost-effective (C-E) drugs and lower Incremental Cost-Effectiveness Ratios (ICERs) had higher likelihood of reimbursement. Disease severity might influence the reimbursement decision with financial agreements. Improvement in clinical outcomes, substantial clinical benefit (p < 0.01) or overall survival gains (p < 0.05) were positively associated. Orphan drug designation impact varies between countries but positive decisions are usually achieved under specific conditions. Clinical and C-E uncertainty frequently led to reimbursement with financial agreements or outcomes-based conditions. Sociodemographic factors as: social health insurance system, higher Gross Domestic Product and larger elderly population were positively associated with reimbursement (p < 0.01). CONCLUSION: There is a need for further research into key determinants of reimbursement decisions in Europe and the development of drug access models that can effectively address and overcome costs and effectiveness uncertainties.

Efficacy of the nasal airflow-inducing maneuver in the olfactory rehabilitation of laryngectomy patients: A systematic review and meta-analysis.

INTRODUCTION: This is the first systematic review and meta-analysis to investigate the effectiveness of the nasal airflow-inducing maneuver (NAIM) in olfactory rehabilitation for total laryngectomy (TL) patients. METHODS: We conducted a systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The inclusion criteria required that patients must have undergone a TL with subsequent NAIM training for at least 2 weeks and olfactory evaluation. The impact of NAIM on olfactory outcomes compared to that at baseline was measured. Olfactory measures included the Sniffin' Sticks Test, Smell Disk Test, Scandinavian Odor Identification Test, and Quick Odor Detection Test. The primary outcome measures were the proportion of patients with normosmia at baseline and after intervention. RESULTS: Seven studies from 2000 to 2023 comprising a total of 290 TL patients met the inclusion criteria. The meta-analysis revealed that prior to intervention, the pooled proportion of patients with normosmia was 0.16 (95% confidence interval [CI]: 0.09‒0.27, p = 0.01). After intervention, the same proportion increased to 0.55 (95% CI: 0.45‒0.68, p = 0.001). Among the included patients, 88.3% were initially anosmic or hyposmic, which was reduced to 48.9% after NAIM practice, with 51.1% achieving normosmia. The percent improvement was not found to be significantly associated with the timing of intervention post-TL (p = 0.18). CONCLUSIONS: NAIM increased the proportion of patients who achieved normosmia in TL patients. NAIM stands out as a safe, easily teachable maneuver with promising results. Further efforts are warranted to provide specific recommendations and guidelines for the use of NAIM in clinical practice.

Concepts for the development of person-centred, digitally-enabled, Artificial Intelligence-assisted ARIA care pathways (ARIA 2024).

The traditional healthcare model is focused on diseases (medicine and natural science) and does not acknowledge patients' resources and abilities to be experts in their own life based on their lived experiences. Improving healthcare safety, quality and coordination, as well as quality of life, are important aims in the care of patients with chronic conditions. Person-centred care needs to ensure that people's values and preferences guide clinical decisions. This paper reviews current knowledge to develop (i) digital care pathways for rhinitis and asthma multimorbidity and (ii) digitally-enabled person-centred care (1). It combines all relevant research evidence, including the so-called real-world evidence, with the ultimate goal to develop digitally-enabled, patient-centred care. The paper includes (i) Allergic Rhinitis and its Impact on Asthma (ARIA), a two-decade journey, (ii) Grading of Recommendations, Assessment, Development and Evaluation (GRADE), the evidence-based model of guidelines in airway diseases, (iii) mHealth impact on airway diseases, (iv) from guidelines to digital care pathways, (v) embedding Planetary Health, (vi) novel classification of rhinitis and asthma, (vi) embedding real-life data with population-based studies, (vii) the ARIA-EAACI strategy for the management of airway diseases using digital biomarkers, (viii) Artificial Intelligence, (ix) the development of digitally-enabled ARIA Person-Centred Care and (x) the political agenda. The ultimate goal is to propose ARIA 2024 guidelines centred around the patient in order to make them more applicable and sustainable.

Clinical decision support systems in addiction and concurrent disorders: A systematic review and meta-analysis.

INTRODUCTION: This review aims to synthesise the literature on the efficacy, evolution, and challenges of implementing Clincian Decision Support Systems (CDSS) in the realm of mental health, addiction, and concurrent disorders. METHODS: Following PRISMA guidelines, a systematic review and meta-analysis were performed. Searches conducted in databases such as MEDLINE, Embase, CINAHL, PsycINFO, and Web of Science through 25 May 2023, yielded 27,344 records. After necessary exclusions, 69 records were allocated for detailed synthesis. In the examination of patient outcomes with a focus on metrics such as therapeutic efficacy, patient satisfaction, and treatment acceptance, meta-analytic techniques were employed to synthesise data from randomised controlled trials. RESULTS: A total of 69 studies were included, revealing a shift from knowledge-based models pre-2017 to a rise in data-driven models post-2017. The majority of models were found to be in Stage 2 or 4 of maturity. The meta-analysis showed an effect size of -0.11 for addiction-related outcomes and a stronger effect size of -0.50 for patient satisfaction and acceptance of CDSS. DISCUSSION: The results indicate a shift from knowledge-based to data-driven CDSS approaches, aligned with advances in machine learning and big data. Although the immediate impact on addiction outcomes is modest, higher patient satisfaction suggests promise for wider CDSS use. Identified challenges include alert fatigue and opaque AI models. CONCLUSION: CDSS shows promise in mental health and addiction treatment but requires a nuanced approach for effective and ethical implementation. The results emphasise the need for continued research to ensure optimised and equitable use in healthcare settings.

Self-perceived knowledge, attitude, and practice of evidence-based medicine before and after training among healthcare workers in Taizhou, China.

BACKGROUND: Evidence-based medicine (EBM) is the combination of the best research evidence with our clinical expertise, specific situations, and the unique values of our patients. It is essential to evaluate the effectiveness of EBM training for healthcare workers (HCWs). OBJECTIVES: This study aims to assess the impact of EBM training on HCWs' knowledge, attitude, and practice (KAP) related to EBM. METHODS: A self-reported online survey was carried out to investigate KAP related to EBM among HCWs at a tertiary hospital in Taizhou, China. HCWs participated in EBM training on 9 and 10 September 2023. The questionnaire survey was conducted to understand KAP related to EBM before and after the training, and to compare and analyze the results before and after the training. The R software (version 4.1.0) was used to analyze data. RESULTS: Sixty-four HCWs completed the survey with a response rate of 52.5% (64/122). The overall average scores of KAP related to EBM before training were 55.3, 63.0, and 34.5, respectively, and 56.9, 66.5, and 34.7 were the scores of KAP after training. HCWs' scores of knowledge (P = 0.033) and attitude (P < 0.001) related to EBM improved significantly after the training. CONCLUSION: This study implied that EBM training may improve the knowledge and attitude of HCWs, and its teaching effect is considerable.

Bridging the Divide: A Review on the Implementation of Personalized Cancer Medicine.

The shift towards personalized cancer medicine (PCM) represents a significant transformation in cancer care, emphasizing tailored treatments based on the genetic understanding of cancer at the cellular level. This review draws on recent literature to explore key factors influencing PCM implementation, highlighting the role of innovative leadership, interdisciplinary collaboration, and coordinated funding and regulatory strategies. Success in PCM relies on overcoming challenges such as integrating diverse medical disciplines, securing sustainable investment for shared infrastructures, and navigating complex regulatory landscapes. Effective leadership is crucial for fostering a culture of innovation and teamwork, essential for translating complex biological insights into personalized treatment strategies. The transition to PCM necessitates not only organizational adaptation but also the development of new professional roles and training programs, underscoring the need for a multidisciplinary approach and the importance of team science in overcoming the limitations of traditional medical paradigms. The conclusion underscores that PCM's success hinges on creating collaborative environments that support innovation, adaptability, and shared vision among all stakeholders involved in cancer care.

Evaluating the Reliability of Health Portals' Nutrition and Supplementation Advice for Pregnant Women: A Comprehensive Review.

This article evaluates the reliability and consistency of nutrition- and supplementation-related advice for pregnant women provided by ten selected health-related Internet portals. The portals were chosen based on their perceived reliability and prominence in Google searches, with representation from both English and Polish language sources. The evaluation criteria included the adherence of the presented information to official recommendations and its evidence-based character based on specific items representing dietary aspects important in pregnancy. While the overall reliability was deemed acceptable, significant variations existed both among the portals and specific evaluated items. Notably, HealthLine, Medline Plus, and NCEZ emerged as the most evidence-based, while WebMD and Medycyna Praktyczna were identified as less reliable. Despite a number of issues, the analysed portals remain valuable sources of nutritional information for pregnant women, offering user-friendly accessibility superior to alternatives such as social media on the one hand and scientific articles on the other. Improved consistency and attention to detail, especially in relation to vitamin intake and supplementation, would improve the overall quality of health portals.

The impact of an online course on agreement rates of the certainty of evidence assessment using Grading of Recommendations, Assessment, Development, and Evaluation Approach: a before-and-after study.

BACKGROUND AND OBJECTIVE: The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach is a systematic method for assessing the certainty of evidence (CoE) and strength of recommendations in health care. We aimed to verify the effects of an online-based GRADE course on multirater consistency in the evaluation of the CoE in systematic reviews (SRs) analysis. STUDY DESIGN AND SETTINGS: Sixty-five Brazilian methodologists and researchers participated in an online course over 8 weeks. Asynchronous lessons and weekly synchronous meetings addressed the GRADE system in the context of CoE assessment. We asked participants to evaluate the CoE of random SRs (two before and another two after the course). Analyzes focused on the multirater agreement with a standard response, in the interrater agreement, and before-after changes in the proportion of participants that rated down the domains. RESULTS: 48 individuals completed the course. Participants presented improvements in the raters' assessment of the CoE using the GRADE approach after the course. The multirater consistency of indirectness, imprecision, and the overall CoE increased after the course, as well as the agreement between raters and the standard response. Furthermore, interrater reliability increased for risk of bias, inconsistency, indirectness, publication bias, and overall CoE, indicating progress in between-raters consistency. After the course, approximately 78% of individuals rated down the overall CoE to a low/very low degree, and participants presented more explanations for the judgment of each domain. CONCLUSION: An online GRADE course improved the consistency and agreement of the CoE assessment by Brazilian researchers. Online training courses have the potential to improve skills in guideline methodology development.

Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project.

BACKGROUND: Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy. OBJECTIVE: This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge. METHODS: As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources. RESULTS: The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers. CONCLUSIONS: EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.

Systematic analysis of levels of evidence supporting Chinese clinical practice guidelines for gastrointestinal disease.

BACKGROUND: Clinical practice guidelines (CPGs) inform healthcare decisions and improve patient care. However, an evaluation of guidelines on gastrointestinal diseases (GIDs) is lacking. This study aimed to systematically analyze the level of evidence (LOE) supporting Chinese CPGs for GIDs. METHODS: CPGs for GIDs were identified by systematically searching major databases. Data on LOEs and classes of recommendations (CORs) were extracted. According to the Grades of Recommendation, Assessment, Development, and Evaluation system, LOEs were categorized as high, moderate, low, or very low, whereas CORs were classified as strong or weak. Statistical analyses were conducted to determine the distribution of LOEs and CORs across different subtopics and assess changes in evidence quality over time. FINDINGS: Only 27.9% of these recommendations were supported by a high LOE, whereas approximately 70% were strong recommendations. There was a significant disparity among different subtopics in the proportion of strong recommendations supported by a high LOE. The number of guidelines has increased in the past 5 years, but there has been a concomitant decline in the proportion of recommendations supported by a high LOE. CONCLUSIONS: There is a general lack of high-quality evidence supporting Chinese CPGs for GIDs, and there are inconsistencies in strong recommendations that have not improved. This study identified areas requiring further research, emphasizing the need to bridge these gaps and promote the conduct of high-quality clinical trials. FUNDING: This study was supported by the National Key R&D Program of China (2022YFC2503604 and 2022YFC2503605) and Special Topics in Military Health Care (22BJZ25).

The Outcomes, Barriers, and Facilitators of Implementing Clinical Practice Guidelines in Iran: A Comprehensive Review.

Background: Clinical practice guideline (CPGs) are highly valuable in enhancing healthcare efficiency as they lead to the selection of the best medical methods and reduction of their costs. Nevertheless, implementing CPGs in practice can be quite challenging, as they require alterations at individual, organizational, and health system levels. Therefore, we aimed to identify the outcomes, barriers, and facilitators associated with CPG implementation. Methods: We conducted an extensive search using Web of Science, PubMed, Scopus, Embase, and various non-English databases to gather quantitative, qualitative, and review studies on the implementation of CPGs from Jan 1, 1990, to Dec 26, 2022. Our analysis focused on the outcomes, barriers, and facilitators of CPG implementation, which categorized into four groups: policy-making, health system and hospitals, professional experts, and clinical guidelines. Results: After conducting a thorough review of 37 studies, the most significant outcomes were found to be reduced costs and enhanced quality of care. However, certain challenges, such as inadequate support, insufficient education, high work pressure, tight schedules, and a lack of unified and clear guidelines, hindered these improvements. To overcome these barriers, it is essential to prioritize effective leadership, improve work conditions, allocate necessary resources, create a structured framework for the guidelines, and simplify their content to fit the clinical circumstances. Conclusion: It is crucial to identify the outcomes and barriers associated with implementing CPGs to enhance professional performance, elevate the quality of care, and foster patient satisfaction. Developing effective strategies hinges on this awareness.

Panel stacking is a threat to consensus statement validity.

Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members towards one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but non-financial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analysing in depth a recent high-impact Delphi consensus statement on COVID-19 recommendations as a case example. We demonstrate that many of the selected panel members and at least 35% of the core panel members had advocated towards COVID-19 elimination (zero-COVID) during the pandemic and were leading members of aggressive advocacy groups. These advocacy conflicts were not declared in the Delphi consensus publication, with rare exceptions. Therefore, we propose that consensus statements should always require rigorous evidence synthesis and maximal transparency on potential biases towards advocacy or lobbyist groups to be valid. While advocacy can have many important functions, its biased impact on consensus panels should be carefully avoided.

Natural language processing assisted detection of inappropriate proton pump inhibitor use in adult hospitalised patients.

OBJECTIVES: To establish a clinical application monitoring system for proton pump inhibitors (PPI-MS) and to enhance the detection and intervention of inappropriate PPI use in adult hospitalised patients. METHODS: Natural language processing technology was applied to indication recognition of therapeutic PPI applications and the assessment of admission record recognition for preventive PPI applications. Symptom judgement was based on the tense-negation model and regular expressions. Evidence-based rules for clinical PPI application were embedded for the construction of PPI-MS. A total of 9421 patient records using PPI from July 2022 to July 2023 were analysed to validate the performance of the system and to identify common issues related to inappropriate clinical PPI use. RESULTS: Out of 9421 hospitalised patients detected using PPI, 4736 (50.27%) were used for prophylaxis and the rest for therapeutic use. Among the prophylactic medications, 2274 patients (48.02%) were identified as receiving inappropriate prophylactic PPI. The main reasons were inappropriate prophylaxis without indication. Additionally, 258 cases of inappropriate therapeutic PPI use were identified, mainly involving the use of esomeprazole for peptic ulcers and Zollinger-Ellison syndrome. The efficiency of the PPI rational medication monitoring system, when coupled with human involvement, was 32 times that of manual monitoring. Among cases of inappropriate prophylactic PPI use, 45.29% were due to lack of indications, 28.34% involved inappropriate administration routes, 15.74% were related to inappropriate dosing frequencies and 10.62% were attributed to inappropriate drug selection. There were 933 cases related to the use of antiplatelet and anticoagulant drugs and 708 cases related to the use of non-steroidal anti-inflammatory drugs. The overall accuracy of the PPI-MS system was 88.69%, with a recall rate of 99.33%, and the F1 score was 93.71%. CONCLUSIONS: Establishing a PPI medication monitoring system through natural language processing technology, while ensuring accuracy and recall rates, improves evaluation efficiency and homogeneity. This provides a new solution for timely detection of issues relating to clinical PPI usage.

Reporting and Analysis of Sex in Vascular Surgery Research.

OBJECTIVE: To examine sex in human vascular surgery research by quantifying the inclusion and analysis of sex-based data in high-impact vascular surgery journals. METHODS: A bibliographic review of original manuscripts published in the European Journal of Vascular and Endovascular Surgery, Journal of Vascular Surgery, JVS: Venous and Lymphatic Disorders, Journal of Endovascular Therapy, and Annals of Vascular Surgery from January 1, 2018 to December 31, 2020 and January 1, 2023 to December 31, 2023 was conducted. Abstracted data included sex-based data analysis, inclusion of sex as a variable in multivariable analysis, inclusion of sex as an independent variable, and a discussion of sex-based results. RESULTS: Of the 3,762 articles that included human, animal, or cell subjects, 249 (6.6%) did not state sex. Of those 249 articles, 183 included human subjects, 55 included animal subjects and 11 utilized cell lines as the subjects. These were removed from analysis as well as the remaining 68 articles with animal subjects. Additionally, 23 researched a sex-specific pathology and were removed from analysis. Of the remaining 3,422 articles included in our study, 42.3% analyzed sex, 46.9% included sex in multivariable analysis, 4.8% included sex as an independent variable, and 26.6% of articles included a discussion of sex. There were no significant differences in all four sex variables between 2018, 2019, and 2020. Between 2018-2020 and 2023, there were significant increases in all four sex variables. Multicenter studies had significantly higher rates of independent analysis of sex over single center studies (7.4% vs 3.3%, p <0.001). There was no significant difference in independent analysis of sex between US-based and non-US-based studies. Only 191 articles (5.6%) had 90% or greater matching of men and women in their study. CONCLUSIONS: Equitable inclusion and analysis of sex is rare in vascular surgery research. Less than 5% of articles included an independent analysis of data by sex and few studies included males and females equally. Clinical research is the basis for evidence-based medicine; therefore, it is important to strive for equitable inclusion, analysis, and reporting of data to foster generalizability of clinical research to men and women.

The need for a change in medical research thinking. Eco-systemic research frames are better suited to explore patterned disease behaviors.

Many practicing physicians struggle to properly evaluate clinical research studies - they either simply do not know them, regard the reported findings as 'truth' since they were reported in a 'reputable' journal and blindly implement these interventions, or they disregard them as having little pragmatic impact or relevance to their daily clinical work. Three aspects for the latter are highlighted: study populations rarely reflect their practice population, the absolute average benefits on specific outcomes in most controlled studies, while statistically significant, are so small that they are pragmatically irrelevant, and overall mortality between the intervention and control groups are unaffected. These observations underscore the need to rethink our research approaches in the clinical context - moving from the predominant reductionist to an eco-systemic research approach will lead to knowledge better suited to clinical decision-making for an individual patient as it takes into account the complex interplay of multi-level variables that impact health outcomes in the real-world setting.

Working with patients' treatment expectations - what we can learn from homeopathy.

The usual homeopathic remedy, "globules," does not contain any pharmacologically active ingredient. However, many patients and practitioners report beneficial effects of homeopathic treatment on various health outcomes. Experimental and clinical research of the last two decades analyzing the underlying mechanisms of the placebo effect could explain this phenomenon, with patients' treatment expectations as the predominant mechanism. Treatment expectations can be optimized through various factors, such as prior information, communication, and treatment context. This narrative review analyses how homeopathy successfully utilizes these factors. Subsequently, it is discussed what evidence-based medicine could learn from homeopathic practice to optimize treatment expectations (e.g., using an empathic, patient-centered communication style, deliberately selecting objects in practice rooms, or using clear treatment rituals and salient contextual stimuli) and thereby treatment effectiveness. Homeopathic remedy does not work beyond the placebo effect but is recommended or prescribed as an active treatment by those who believe in it. Thus, practitioners need to understand the manner in which homeopathy (as an example of inert treatment) works and are advised to reintegrate its underlying effective placebo mechanisms into evidence-based medicine. This promises to increase treatment efficacy, tolerability, satisfaction, and compliance with evidence-based treatments, and addresses the desires patients are trying to satisfy in homeopathy in an ethical, fully informed way that is grounded in evidence-based medicine.

Physical compatibility of ceftriaxone and cefepime in 0.45% sodium chloride, Ringer's lactate solution, and Plasma-Lyte A.

OBJECTIVES: The compatibility of intravenous fluids with medications is of paramount concern to pharmacists and is an imperative component of ensuring patient safety. Data regarding the physical compatibility of medications with intravenous fluids has not been examined, or published with conflicting results or the concentrations studied were not consistent with current practice. Our objective was to determine the physical compatibility of ceftriaxone and cefepime in 0.45% sodium chloride, Ringer's lactate solution, and Plasma-Lyte A. METHODS: An in vitro analysis of the physical compatibility of ceftriaxone and cefepime at 10 mg/mL, 20 mg/mL, and 40 mg/mL concentrations was conducted in 0.45% sodium chloride, Ringer's lactate solution, and Plasma-Lyte A. Admixtures were evaluated in triplicate at hours 0, 1, 5, 8, and 24. Physical compatibility was assessed by visual inspection, spectrophotometry, and pH analysis. RESULTS: Ceftriaxone 40 mg/mL was found to be physically incompatible in 0.45% sodium chloride and Ringer's lactate solution beyond 5 hours and in Plasma-Lyte A beyond 8 hours. Cefepime was found to be physically incompatible with all fluids and in all concentrations beyond 1 hour. CONCLUSIONS: This work contributes to the body of literature dedicated to the evaluation of intravenous drug and fluid physical compatibility by identifying demonstrable changes in admixtures containing 0.45% sodium chloride, Plasma-Lyte A, and Ringer's lactate solution. Ceftriaxone should not be administered with 0.45% sodium chloride, Ringer's lactated solution, or Plasma-Lyte A at selected concentrations and time points and cefepime is not considered to be physically compatible at 10 mg/mL, 20 mg/mL, or 40 mg/mL in any of the studied fluids beyond 1 hour.

Safety and Efficacy of In-Office Hand Procedures.

Background: The primary concerns with operating on patients in the office setting are insufficient sterility and lack of appropriate resources in case of excessive bleeding or other surgical complications. This study serves to investigate these concerns and determine whether in-office hand surgeries are safe and clinically effective. Methods: A retrospective review of patients who underwent minor hand operations in the office setting between December 2020 and December 2021 was performed. The surgical procedures included in this analysis are needle aponeurotomy, trigger finger release, foreign body removal, mass removal, and reduction in a finger fracture with or without percutaneous pinning. All fractures, which primarily included metacarpal and phalangeal fractures, were subsequently splinted. Sterility and hemostatic support were achieved via the Wide-Awake Local Anesthesia No Tourniquet (WALANT) method. Major complications were defined as infection, major bleeding, and neurological deficits. Minor complications were defined as prolonged pain, prolonged inflammation, residual symptoms, and recurrence of symptoms within 1 month. Results: Five patients (3.8%) returned to the office for pain, inflammation, or stiffness of the affected finger, with two of the five returning with symptoms associated with osteoarthritis or pseudogout flare-ups. Five additional patients returned due to residual symptoms or recurrence of the primary complaint within 1 month of surgery. No patients experienced exogenous infection. Conclusion: The absence of major complications and high success rate for minor hand procedures shows the high degree of safety and efficacy that can be achieved via the in-office setting for select procedures. While proper patient selection is key, our result shows the in-office procedure room setting can offer the necessary elements of sterility and hemostatic support for several common hand surgeries.

Examination of learning ability development through the implementation of the "autonomy-collaboration" learning mode grounded in evidence-based medicine practice.

OBJECTIVE: Currently, there are still some shortcomings in EBM education in China.The study aimed to investigate the effectiveness of the novel evidence-based medicine (EBM) learning model of "autonomy-collaboration." METHODS: A total of 91 undergraduate students majoring in clinical medicine at Zhongshan Clinical College of Dalian University from the 2019 batch were selected as the participants in this study. They were instructed to follow the EBM learning model of "autonomy-collaboration." Upon completion of the course, questionnaires, records of participants' sentiments and insights, and evidence-based clinical practice reports were used as indicators to evaluate the effectiveness of the training. RESULTS: This learning modality effectively enhanced independent learning ability of the students, stimulated their interest in learning, and strengthened the communication between students and teachers, thereby improving the quality of teaching. CONCLUSION: The novel EBM learning model of "autonomy-collaboration," exhibited robust effectiveness in instruction and facilitated the seamless integration of theoretical knowledge with clinical practice. Consequently, its widespread adoption is strongly recommended.