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.

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.

American Rhinologic Society expert practice statement part 2: Postoperative precautions and management principles following endoscopic skull base surgery.

The goal of this American Rhinologic Society expert practice statement (EPS) is to summarize the best available evidence regarding postoperative precautions for patients following endoscopic skull base surgery for intradural pathology. These topics include the administration of postoperative nasal hygiene; patient mobilization and activity level; the resumption of continuous positive airway pressure in patients with obstructive sleep apnea; and the timing and capacity with which a patient may be subjected to barotrauma, such as air travel postoperatively. This EPS was developed following the recommended methodology and approval process as previously outlined. Given the diverse practices and limited agreement on the accepted principles regarding postoperative precautions for patients following skull base surgery, this EPS seeks to summarize the existing literature and provide clinically relevant guidance to bring clarity to these differing practice patterns. Following a modified Delphi approach, four statements were developed, all of which reached consensus. Because of the paucity of literature on these topics, these statements represent a summation of the limited literature and the experts' opinions. These statements and the accompanying evidence are summarized below, along with an assessment of future needs.

The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study.

BACKGROUND: Evidence-based clinical intake tools (EBCITs) are structured assessment tools used to gather information about patients and help health care providers make informed decisions. The growing demand for personalized medicine, along with the big data revolution, has rendered EBCITs a promising solution. EBCITs have the potential to provide comprehensive and individualized assessments of symptoms, enabling accurate diagnosis, while contributing to the grounding of medical care. OBJECTIVE: This work aims to examine whether EBCITs cover data concerning disorders and symptoms to a similar extent as physicians, and thus can reliably address medical conditions in clinical settings. We also explore the potential of EBCITs to discover and ground the real prevalence of symptoms in different disorders thereby expanding medical knowledge and further supporting medical diagnoses made by physicians. METHODS: Between August 1, 2022, and January 15, 2023, patients who used the services of a digital health care (DH) provider in the United States were first assessed by the Kahun EBCIT. Kahun platform gathered and analyzed the information from the sessions. This study estimated the prevalence of patients' symptoms in medical disorders using 2 data sets. The first data set analyzed symptom prevalence, as determined by Kahun's knowledge engine. The second data set analyzed symptom prevalence, relying solely on data from the DH patients gathered by Kahun. The variance difference between these 2 prevalence data sets helped us assess Kahun's ability to incorporate new data while integrating existing knowledge. To analyze the comprehensiveness of Kahun's knowledge engine, we compared how well it covers weighted data for the symptoms and disorders found in the 2019 National Ambulatory Medical Care Survey (NMCAS). To assess Kahun's diagnosis accuracy, physicians independently diagnosed 250 of Kahun-DH's sessions. Their diagnoses were compared with Kahun's diagnoses. RESULTS: In this study, 2550 patients used Kahun to complete a full assessment. Kahun proposed 108,523 suggestions related to symptoms during the intake process. At the end of the intake process, 6496 conditions were presented to the caregiver. Kahun covered 94% (526,157,569/562,150,572) of the weighted symptoms and 91% (1,582,637,476/173,4783,244) of the weighted disorders in the 2019 NMCAS. In 90% (224/250) of the sessions, both physicians and Kahun suggested at least one identical disorder, with a 72% (367/507) total accuracy rate. Kahun's engine yielded 519 prevalences while the Kahun-DH cohort yielded 599; 156 prevalences were unique to the latter and 443 prevalences were shared by both data sets. CONCLUSIONS: ECBITs, such as Kahun, encompass extensive amounts of knowledge and could serve as a reliable database for inferring medical insights and diagnoses. Using this credible database, the potential prevalence of symptoms in different disorders was discovered or grounded. This highlights the ability of ECBITs to refine the understanding of relationships between disorders and symptoms, which further supports physicians in medical diagnosis.

Demarcating scientific medicine.

Scientific medicine and homeopathy are interesting case studies for the ongoing project of demarcating science from pseudoscience. Much of the demarcation literature formulates abstract criteria for demarcating science from pseudoscience generally. In service of a more localist approach to the demarcation problem, I reconstruct a specific demarcating difference, the like comparison criterion, invoked by nineteenth century adherents to an early model of scientific medicine. If it is to remain relevant today, I argue that the like comparison criterion must be updated in our current era of epidemiological, evidence-based medicine to recognize the importance of assessing study bias and mechanistic implausibility in contemporary medical science.

Is evidence-based practice justified?-A philosophical critique.

BACKGROUND: Evidence-based practice is the principle governing a range of healthcare practices and beyond. However, it has suffered from a lack of philosophical rigour. This paper sets out to analyse the epistemological basis of evidence-based practice. METHOD: The paper uses a conceptual analysis. First, it describes the implicit epistemology at work in evidence-based practice. Second, it evaluates the implicit epistemological basis. RESULTS: The analysis indicates that evidence-based practice lacks an explicit epistemological basis. It shows, moreover, that the implicit epistemological basis is untenable. CONCLUSION: There is a need to re-think the epistemological basis for evidence-based practice. Evidence-based practice is out of touch with developments within philosophy of science.

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.

Architectural design of national evidence based medicine information system based on electronic health record.

BACKGROUND: The global implementation of Electronic Health Records has significantly enhanced the quality of medical care and the overall delivery of public health services. The incorporation of Evidence-Based Medicine offers numerous benefits and enhances the efficacy of decision-making in areas such as prevention, prognosis, diagnosis, and therapeutic approaches. OBJECTIVE: The objective of this paper is to propose an architectural design of an Evidence-Based Medicine information system based on the Electronic Health Record, taking into account the existing and future level of interoperability of health information systems in Greece. METHODS: A study of the suggested evidence-based medicine architectures found in the existing literature was conducted. Moreover, the interoperability architecture of health information systems in Greece was analyzed. The architecture design reviewed by specialized personnel and their recommendations were incorporated into the final design of the proposed architecture. RESULTS: The proposed integrated architecture of an Evidence-Based Medicine system based on the Electronic Health Record integrates and utilizes citizens' health data while leveraging the existing knowledge available in the literature. CONCLUSIONS: Taking into consideration the recently established National Interoperability Framework, which aligns with the European Interoperability Framework, the proposed realistic architectural approach contributes to improving the quality of healthcare provided through the ability to make safe, timely and accurate decisions by physicians.

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.

No evidence of clinical efficacy of oxomemazine in cough, according to a systematic review.

PURPOSE: Cough is a prevalent symptom driving patients to seek medical attention in general practice. Despite its widespread use, the clinical efficacy of oxomemazine, the second most reimbursed molecule in France for symptomatic cough treatment, remains uncertain. This study aims to systematically evaluate the clinical efficacy of oxomemazine in cough. METHODS: A systematic literature review with meta-analysis of randomized controlled trials (RCTs) was conducted according to the Rebuild the Evidence Base (REB) protocol. Clinical trials comparing the efficacy of oxomemazine versus placebo or active comparator in cough were searched for. Trials with insufficient data were excluded. Searches were conducted across major databases (Medline, Cochrane Central Register of Controlled Trials, and Embase) and trial registries (World Health Organization International Clinical Trials Registry Platform and ClinicalTrials.gov). RCTs comparing oxomemazine versus placebo or active comparators in cough were sought. Risk of bias was assessed using the Cochrane Collaboration's RoB2 tool. The protocol was preregistered on PROSPERO under the number CRD42022345496 (15). This study received no funding. RESULTS: No RCTs were at low risk of bias. Therefore, no meta-analysis was conducted, in accordance to the pre-specified protocol. CONCLUSIONS: This systematic review highlights the lack of evidence regarding the efficacy of oxomemazine in cough treatment and underscores the need for further well-designed clinical trials to inform its clinical utility in primary care settings.

Systematic reviews and meta-analyses in neurosurgery part I: interpreting and critically appraising as a guide for clinical practice.

Neurosurgeons are inundated with the Herculean task to keep abreast with the rapid pace at which clinical research is proliferating. Systematic reviews and meta-analyses (SRMAs) have consequently surged in popularity because when executed properly, they constitute the highest level of evidence, and may save busy neurosurgeons many hours of combing the literature. Well-executed SRMAs may prove instructive for clinical practice, but poorly conducted reviews sow confusion and may potentially cause harm. Unfortunately, many SRMAs within neurosurgery are relatively lackluster in methodological rigor. When neurosurgeons apply the results of an SRMA to patient care, they should start by evaluating the extent to which the employed methods have likely protected against misleading results. The present article aims to educate the reader about how to interpret an SRMA, to assess the potential relevance of its results in the special context of the neurosurgical patient population.

Summary of the best evidence for prehabilitation management of patients with non-small cell lung cancer.

Objective: This study adopts an evidence-based methodology to establish a comprehensive theory foundation for preoperative prehabilitation management in non-small cell lung cancer (NSCLC) patients. Methods: A systematic literature review linked to prehabilitation management for NSCLC patients was conducted, utilizing reputable databases such as UpToDate, BMJ Best Practice, UK NICE, SIGN, GIN, Joanna Briggs Institute Library, Cochrane Library, Web of Science, Embase, OVID evidence-based database, PubMed, Chinese Wanfang database, CNKI, CBM, ATS, BTS, AACVPR, and EACTS. The search encompassed articles, including clinical decision-making, guidelines, evidence summaries, expert consensuses, and systematic reviews, from the inception of databases up to March 31st, 2023. Two researchers performed quality assessment of the literature and subsequent evidence extraction. Results: Nineteen articles were included, comprising five guidelines, three expert consensuses, seven systematic reviews, and four randomized controlled trials. A total of 41 pieces of evidence were summarized, addressing key aspects such as the multidisciplinary team, appropriate patient population, prehabilitation modes, timing of prehabilitation, prehabilitation assessment, prehabilitation content, quality control, and effectiveness evaluation. Conclusions: The synthesis of the best evidence for prehabilitation management in NSCLC patients provides a solid evidence-based foundation for its implementation. It is recommended that healthcare professionals conduct thorough patient evaluations, optimize and integrate medical resources, and collaboratively engage in interdisciplinarity efforts to develop and implement personalized and multimodal prehabilitation plans.

Clinical Guidelines on Compression Therapy in Venous Diseases.

BACKGROUND: In recent years, compression therapy has attracted gradually increasing clinical attention in lower extremity venous diseases. However, basic concepts and clear nomenclature, standard treatment methods, and consistent product standards for pressure equipment are lacking. Therefore, developing clinical guidelines for compression therapy is essential to improving the treatment of venous diseases. METHODS: Our panel generated strong (Grade I), moderate (Grade IIa and IIb), and weak (Grade III) recommendations based on high quality (Class A), moderate quality (Class B), and low quality (Class C) evidence, using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach and the European Society of Cardiology (ESC) grading system. RESULTS: The panels made 30 recommendations from current evidence, focusing on seven fields of lower extremity venous disease (venous thromboembolism, post-thrombotic syndrome, chronic venous insufficiency, varicose veins, hemangioma and vascular malformations, lymphedema, and venous ulcers) and 18 topics. CONCLUSIONS: Of the 30 recommendations made across the 18 topics, 7 were strong (Grade I) and 17 were based on high quality (Class A) evidence, highlighting the need for further research of the use of compression therapy for .

Challenges, barriers and solutions for implementing clinical practice guidelines: a qualitative study in southern Iran.

BACKGROUND: Identifying the challenges of implementing clinical practice guidelines (CPGs) can provide valuable information for decision-makers and health policymakers at the national and local levels. The implementation of CPGs requires the development of strategies to facilitate their use. This research aimed to determine the challenges, barriers and solutions for implementing CPGs from the expert point of view in Bushehr University of Medical Sciences. METHODS: This qualitative research uses content analysis conducted in 2022 in southern Iran. In-depth interviews were conducted with the physicians and experts in the health system. Interviewing continued until reaching the saturation level. Altogether, 22 experts were interviewed. The interview guide was used to explore experts' opinions. All the interviews were recorded and then transcribed. Finally, coding and data analysis was done using MAXQDA 2022 software. RESULTS: The analysis revealed 4 main themes and 20 subthemes. The four main themes included challenges related to physicians, medical education, the health system and patients. The most common themes were the lack of sufficient training (related to the medical education system), equipment and infrastructure, and the lack of adaptation of clinical guidelines (related to the health system). The solutions included 4 main themes and 19 subthemes. CONCLUSION: The most mentioned topic by the experts was training CPGs in medical schools. In Iran's current medical education system, the training of CPGs is not included in the curriculum. It is proposed to reform the medical education system in Iran. In addition, health inequalities such as lack of access to equipment, supplies and insurance in under-resourced areas and disparities in research/training/medical education should be addressed to improve the validity of guidelines.

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).

Effects of an Intervention to Improve Evidence-Based Care for People With Diabetes and Cardiovascular Disease Across Sex, Race, and Ethnicity Subgroups: Insights From the COORDINATE-Diabetes Trial.

BACKGROUND: Results from the COORDINATE-Diabetes trial (Coordinating Cardiology Clinics Randomized Trial of Interventions to Improve Outcomes - Diabetes) demonstrated that a multifaceted, clinic-based intervention increased prescription of evidence-based medical therapies to participants with type 2 diabetes and atherosclerotic cardiovascular disease. This secondary analysis assessed whether intervention success was consistent across sex, race, and ethnicity. METHODS: COORDINATE-Diabetes, a cluster randomized trial, recruited participants from 43 US cardiology clinics (20 randomized to intervention and 23 randomized to usual care). The primary outcome was the proportion of participants prescribed all 3 groups of evidence-based therapy (high-intensity statin, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, and sodium-glucose cotransporter-2 inhibitor or glucagon-like peptide 1 receptor agonist) at last trial assessment (6 to 12 months). In this prespecified analysis, mixed-effects logistic regression models were used to assess the outcome by self-reported sex, race, and ethnicity in the intervention and usual care groups, with adjustment for baseline characteristics, medications, comorbidities, and site location. RESULTS: Among 1045 participants with type 2 diabetes and atherosclerotic cardiovascular disease, the median age was 70 years, 32% were female, 16% were Black, and 9% were Hispanic. At the last trial assessment, there was an absolute increase in the proportion of participants prescribed all 3 groups of evidence-based therapy in women (36% versus 15%), Black participants (41% versus 18%), and Hispanic participants (46% versus 18%) with the intervention compared with usual care, with consistent benefit across sex (male versus female; Pinteraction=0.44), race (Black versus White; Pinteraction=0.59), and ethnicity (Hispanic versus Non-Hispanic; Pinteraction= 0.78). CONCLUSIONS: The COORDINATE-Diabetes intervention successfully improved delivery of evidence-based care, regardless of sex, race, or ethnicity. Widespread dissemination of this intervention could improve equitable health care quality, particularly among women and minority communities who are frequently underrepresented in clinical trials. REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03936660.

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 toward one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but nonfinancial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analyzing 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 toward 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 toward advocacy or lobbyist groups to be valid. While advocacy can have many important functions, its biased impact on consensus panels should be carefully avoided.

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.

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.

Autogenic training for chronic health conditions: A service evaluation.

BACKGROUND: Autogenic training (AT) is a structured meditative-style practice, consisting of a sequence of simple mental exercises intended to induce a relaxed state in patients. There is some emerging evidence to suggest that AT can be effective in treating certain chronic conditions, however, further evidence is required. A service evaluation of AT services at the Royal London Hospital for Integrated Medicine was conducted to evaluate the impact of AT on patients with chronic conditions. METHODS: The service evaluation consisted of the completion of validated quantitative outcome measures pre and posttreatment to explore the impact of AT. AT patients were asked to complete the Measure Yourself Medical Outcomes Profile (MYMOP) and Perceived Stress Scale (PSS) at their first hospital appointment (baseline) and then again 8 weeks later following completion of their AT sessions. Pre- and posttreatment scores for each outcome measure were analysed in SPSS using the Wilcoxon signed-rank test. RESULTS: One hundred ninety-nine patients completed both initial and follow-up MYMOP forms and were included in the evaluation. The most common presenting complaints for MYMOP symptom 1 were prolonged anxiety/stress and depression (n = 70, 35.2%), chronic pain and migraine headache (n = 44, 22.1%), chronic insomnia and sleep problems (n = 42, 21.1%) and, long-term exhaustion and fatigue (n = 18, 9%). The change in median score pre- and posttreatment for all MYMOP categories (symptoms, activity and well-being) were statistically highly significant p < 0.001. Anxiety, stress, depression, pain and insomnia were the symptoms that had the largest statistically significant difference between the median score pre- and posttreatment. Fifty-five patients completed the PSS questionnaire at two time points (pre- and posttreatment). It showed a highly statistically significant change in PSS median score in patients experiencing stress (p < 0.001). DISCUSSION: The findings of the evaluation indicate that 8 weeks of AT appears to be effective in improving symptoms of concern to patients and enhancing patients' overall well-being. In particular, AT was found to be beneficial for patients with symptoms of anxiety, stress, depression, pain and insomnia.