Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review.

OBJECTIVES: This study underscores the importance of exploring AI's creative applications in treating depressive disorders to revolutionize mental health care. Through innovative integration of AI technologies, the research confirms their positive effects on preventing, diagnosing, and treating depression. The systematic review establishes an evidence base for AI in depression management, offering directions for effective interventions. METHODS: This systematic literature review investigates the effectiveness of AI in depression management by analyzing studies from January 1, 2017, to May 31, 2022. Utilizing search engines like IEEE Xplore, PubMed, and Web of Science, the review focused on keywords such as Depression/Mental Health, Machine Learning/Artificial Intelligence, and Prediction/Diagnosis. The analysis of 95 documents involved classification based on use, data type, and algorithm type. RESULTS: The study revealed that AI in depression management excelled in accuracy, particularly in monitoring and prediction. Biomarker-derived data demonstrated the highest accuracy, with the CNN algorithm proving most effective. The findings affirm the therapeutic benefits of AI, including treatment, detection, and disease prediction, highlighting its potential in analyzing monitored data for depression management. LIMITATIONS: This study exclusively examined the application of AI in individuals with depressive disorders. Interpretation should be cautious due to the limited scope of subjects to this specific population. CONCLUSIONS: To introduce digital healthcare and therapies for ongoing depression management, it's crucial to present empirical evidence on the medical fee payment system, safety, and efficacy. These findings support enhanced medical accessibility through digital healthcare, offering personalized disease management for patients seeking non-face-to-face treatment.

Psychiatrists' Illustration of Awe in Empathic Listening Assessments: A Pilot Study.

Background "Awe" is typically an inspiring emotional response to perceptually vast stimuli signifying the transcendence beyond all cognitive frames of reference when we encounter the unexpected. Physicians' experience of awe in clinical care interactions has not been studied in an empirical, evidence-based way. We aim to present a focused study of awe in a psychiatrist's empathic listening (EL) assessments and propose an evidence-based framework to study it. Methodology This is an exploratory case series of a psychiatrist's EL interactions (mean duration/x̄ of 46.17 minutes) with six patients (two males and four females) aged 32-72 years (x̄ =54.67, σ = 16.64). Using the method of autoethnography, the verbal and nonverbal aspects of the EL assessments were analyzed and open-coded to generate qualitative data. Results The study revealed that the data in all the case studies could be classed into two thematic groups, namely, mindfulness and transpersonal mindfulness. The emotions of "awe" and "non-agency" were ubiquitous in all six case studies both for the psychiatrist and patients. Conclusions Recognizing the awe and non-agency in EL interaction is essential in conceptualizing the "mindfulness-to-transcendence" framework and the first step toward the evidence-based study of transcendence/metaphysics in phenomenological psychiatry.

Development and validation of the clinical information literacy questionnaire.

BACKGROUND: Clinical Information Literacy (CIL) seems to be a prerequisite for physicians to implement Evidence-Based Medicine (EBM) effectively. This study endeavors to develop and validate a CIL questionnaire for medical residents of Isfahan University of Medical Sciences. MATERIALS AND METHODS: This study employs sequential-exploratory mixed methods in 2019. The participants were 200 medical residents in different specialties; they are selected through the convenience sampling method. In the first (qualitative) phase, an early CIL questionnaire was designed by reviewing literature and performing complementary interviews with health professionals. In the second (validation) phase, the questionnaire's face validity and content validity were confirmed. In the third (quantitative) phase, the construct validity was examined via Item-Response Theory (IRT) model, and the factor loading was computed. The gathered data were analyzed using descriptive statistics, t-test, two-way ANOVA, as well as two-parameter IRT model in R software. RESULTS: In the qualitative phase, the concept of CIL is initially described in seven main categories and 22 subcategories, and the items were formulated. An initial 125-item questionnaire was analyzed by the research team, leading to a 43-item. Through the content validity and face validity examination, we removed 11 and 4 items in the Content Validity Ratio (CVR) and Content Validity Index (CVI), respectively. Throughout the face validity analysis, none of the items were removed. According to the construct validity results, difficulty coefficient, discriminant coefficient, and factor loading were confirmed, most of the other questions achieved a proper factor loading value that is higher than 0.30, and a value of 0.66 was achieved for the reliability via the Kuder-Richardson method. Ultimately, the real-assessment 28-item CIL questionnaire was developed with four components. CONCLUSIONS: The CIL questionnaire could be employed to examine the actual CIL basic knowledge. Because of using the real-assessment approach rather than self-assessment in the design, it can be claimed that this instrument can provide a more accurate assessment of the information literacy status of medical residents. This valid questionnaire is used to measure and train the skills needed by healthcare professionals in the effective implementation of EBM.

Financial Conflicts of Interest Among the Authors of the Clinical Practice Guidelines for Rheumatoid Arthritis in Japan.

Objective To assess the financial relationships between pharmaceutical companies and authors of the 2020 Japan College of Rheumatology Clinical Practice Guidelines (CPG) for the Management of Rheumatoid Arthritis and to evaluate the quality of evidence supporting the guideline recommendations. Methods This retrospective study evaluated financial relationships between all 27 authors of the CPG and pharmaceutical companies in Japan. Personal payments from pharmaceutical companies to these authors between 2016 and 2020 were extracted from publicly disclosed databases for each pharmaceutical company. The quality of the evidence supporting the CPG recommendations was also assessed. Results All 27 authors received personal payments from pharmaceutical companies, totaling $3,683,048 over five years. The median and mean payments per author were $101,624 and $136,409, respectively. Speaking compensations accounted for more than 80% of all personal payments. More than 77.8% (21 authors), 66.7% (18 authors), and 51.9% (14 authors) received more than $10,000, $50,000, and $100,000 in total payments over the five years, respectively. Nevertheless, these financial relationships between the CPG authors and pharmaceutical companies were not disclosed. More than 81.8% of the CPG recommendations were supported by low- or very-low-quality evidence. Of the strong recommendations, 66.7% were supported by low- or very-low-quality evidence. Conclusion Even though all CPG authors received substantial amounts of personal payments from pharmaceutical companies, these conflicts of interest (COIs) were not disclosed in the CPG. These findings underscore the urgent need for policy interventions to enhance transparency, integrity, and reliability in the development of CPGs in Japan.

Intravenous Thrombolysis for Central Retinal Artery Occlusion: A Look at the Literature for the Emergency Medicine Physician.

Central retinal artery occlusion (CRAO) is a subtype of ischemic stroke and true ocular emergency presenting with acute, painless, monocular vision loss. Typical findings include poor visual acuity (VA), impaired color vision, relative afferent pupillary defect, and on fundoscopic evaluation, retinal edema, cherry red spot, and occasionally visualization of retinal artery emboli. While there are no proven treatments for CRAO, options include orbital massage, hyperbaric oxygen therapy, and intra-arterial or intravenous thrombolysis (IVT). This study reviews the current literature on the efficacy of IVT for patients affected by acute, symptomatic CRAO and provides an up-to-date, evidence-based background for emergency physicians (EPs) who evaluate and manage these patients.

How to write an umbrella review? A step-by-step tutorial with tips and tricks.

The number of meta-analyses (MA) and systematic reviews (SR) on various medical issues has increased during the last two decades. The MA and SR results may differ from one another due to a number of factors such as inaccurate or diverse searches through the databases, discrepancies in the extraction process or in statistical analysis, among others. Some results may even contradict one another, resulting in confusion among readers. Umbrella reviews (UR) have allowed the collection of all available data on a medical issue into one concise study, making it the source of evidence-based medical knowledge to the highest degree. Furthermore, UR can resolve those problems by collecting all data and taking into account both MA and SR, making it the superior tool for physicians. Although the pros of UR are clear and the overall popularity of these types of study has increased tremendously, there is no available step-by-step guide on how to conduct one. Therefore, the objective of the present study was to provide researchers with a detailed tutorial on how to conduct an UR. UR represent the next major step in the advancement of evidence-based medicine, with great practical potential for physicians looking for the most up-to-date data on their topic of interest. We hope that our step-by-step guide may be a useful tool for researchers conducting UR in the future.

Didactic Physician Assistant Students' Perceptions of Evidence-Based Medicine Resources: A Preliminary Investigation.

Evidence-Based Medicine (EBM) instruction is required for physician Assistant (PA) students. This pilot study surveyed didactic PA students at three geographically diverse PA programs at the end of their didactic EBM course to understand which attributes of EBM resources they find most and least useful, and their self-efficacy in searching and appraising medical literature. Thematic analysis identified the most important student-reported attributes of a resource. PA students in this sample preferred UpToDate and PubMed as their top EBM tools based on attribute ratings. However, each database included in this pilot study received positive feedback, despite a low usage rate across institutions. The most important attributes were ease of use/search, information presentation, and conclusion/critical appraisal skill. After one EBM course, on average, students rated their self-efficacy searching the literature and appraising the literature as "moderately confident." This suggests that instructors and librarians have an opportunity to expose students to more tools as well as encourage "the right tool for the right job."

[Current Status of Formulary in Japan and the Assessment of Various Value Components of Medicines].

Development of a formulary is an important issue to achieve rational use of medicines in each local medical area in Japan. The purpose of developing the formulary is to secure the access for safe, effective, and affordable medications based on evidence for patients, families, healthcare professionals as well as for general publics. The economic aspect plays an important role for the establishment of the formulary, while the word "economic" is often misread as simple "cost reduction", which only aims to generic/biosimilar substitutions. Both health outcomes and costs, should be taken into account under the true "health economic analysis", or the cost-effectiveness analyses (CEA). Information provided via the CEA could be useful for establishment of the formulary. Moreover, various value assessment of medicines in health technology assessments (HTA) field beyond the current approach of safety, effectiveness, and economics evaluations should be considered. In this review, we discuss comprehensive assessment of various value components of medicines to establish the most suitable formulary which would contribute to whole society, as well as healthcare facilities/patients.

Common Bias and Challenges in Physical and Rehabilitation Medicine Research: How to Tackle Them.

The importance of evidence-based medicine is crucial, especially in physical and rehabilitation medicine (PRM), where there is a need to conduct rigorous experimental protocols, as in any medical field. Currently, in clinical practice, therapeutic approaches are often based on empirical data rather than evidence-based medicine. However, the field of PRM faces several challenges that may complicate scientific research. In addition, there is often a lack of appropriate research training in educational programs. In this context, we aim to review the methodological challenges in PRM and provide clear examples for each of them as well as potential solutions when possible. This article will cover the following themes: (1) Choosing the right study design and conducting randomized and benchmarking controlled trials; (2). Selecting the appropriate controlled, placebo or sham condition and the issue of blinding in non-pharmacological trials; (3) The impact of populations' heterogeneity and multi-comorbidities; (4). The challenge of recruitment and adherence; (5). The importance of homogeneity and proper quantification of rehabilitative strategies; and (6). Ethical issues. We are convinced that teaching the basics of scientific research in PRM could help physicians and therapists to choose a treatment based on (novel) scientific evidence. It may also promote scientific research in PRM to develop novel and personalized rehabilitation strategies using rigorous methodologies and randomized or benchmarking controlled trials in order to improve patients' management.

Novel pictograms to improve pharmacist understanding of the number needed to treat (NNT).

INTRODUCTION: Number needed to treat (NNT) is a clinically useful "yardstick" used to gauge the efficacy of therapeutic interventions. The objective of this project was to develop and pilot a series of pictograms and assess their impact on pharmacist understanding of the NNT. METHODS: Three decision aids containing NNT pictograms were developed following a preliminary literature review and three focus groups with current Australian-registered pharmacists and pharmacist interns. Pharmacists then tested the pictograms in a research pilot in clinical encounters until (1) ≥ 3 sessions had occurred or (2) a two-week period had elapsed from commencement. Knowledge assessment was administered both pre- and post-pilot. Transcription and inductive thematic analysis were applied to focus group data. Descriptive statistics, Wilcoxon signed rank, and McNemar's tests were used to analyse the pilot data. RESULTS: Six core themes regarding NNT decision aid development were identified with >80% consensus across three focus groups (N = 11). Comparison of the pre-post measures (n = 10) showed an increase in median scores after use of NNT decision aids, correlating to a moderate Cohen classified effect size (d = 0.54). Wilcoxon matched pairs test demonstrated a statistically insignificant influence of NNT pictograms on the knowledge assessment survey (P > .05). CONCLUSIONS: While the NNT is not a new concept, its incorporation as part of pictograms for health practitioner enrichment is novel. This pilot study suggests that utilizing decision aids with NNT pictograms as counselling adjuncts appears promising in the realm of enhancing pharmacists' understanding of the NNT.

An overview on the promotion on patient-centered care and shared decision-making in Mexico.

Mexico is a mid-income North American country. It strives to materialize the right to health in accordance with its laws. But the health system faces various problems: fragmentation, segmentation, limited funding, insufficient coverage, and low quality of health care. Mexico's population is aging, which has led to an increasing prevalence of chronic conditions. To overcome this issue, the goals have shifted towards free universal health coverage under equality, effectivity, and quality criteria focused on primary health care. Consequently, the health system has moved towards Patient-Centered Care (PCC), and an opportunity to promote Shared Decision-Making (SDM) during the clinical encounter to enhance patient and family involvement in their own health care. PCC and SDM are relatively new ideas in Mexico. The research agenda has focused on initiatives attempting to bring these concepts to clinical practice. This paper seeks to describe the local headway and the state of the art of PCC- and SDM-related strategies in the Mexican health system.

Implementing a flipped classroom model in an evidence-based medicine curriculum for pre-clinical medical students: evaluating learning effectiveness through prospective propensity score-matched cohorts.

BACKGROUND: In a flipped classroom (FC) model, blended learning is used to increase student engagement and learning by having students finish their readings at home and work on problem-solving with tutors during class time. Evidence-based medicine (EBM) integrates clinical experience and patient values with the best evidence-based research to inform clinical decisions. To implement a FC and EBM, students require sufficient information acquisition and problem-solving skills. Therefore, a FC is regarded as an excellent teaching model for tutoring EBM skills. However, the effectiveness of a FC for teaching EBM competency has not been rigorously investigated in pre-clinical educational programs. In this study, we used an innovative FC model in a pre-clinical EBM teaching program. METHODS: FC's teaching was compared with a traditional teaching model by using an assessment framework of prospective propensity score matching, which reduced the potential difference in basic characteristics between the two groups of students on 1:1 ratio. For the outcome assessments of EBM competency, we used an analysis of covariance and multivariate linear regression analysis to investigate comparative effectiveness between the two teaching models. A total of 90 students were prospectively enrolled and assigned to the experimental or control group using 1:1 propensity matching. RESULTS: Compared with traditional teaching methods, the FC model was associated with better learning outcomes for the EBM competency categories of Ask, Acquire, Appraise, and Apply for both written and oral tests at the end of the course (all p-values< 0.001). In particular, the "appraise" skill for the written test (6.87 ± 2.20) vs. (1.47 ± 1.74), p < 0.001), and the "apply" skill for the oral test (7.34 ± 0.80 vs. 3.97 ± 1.24, p < 0.001) had the biggest difference between the two groups. CONCLUSIONS: After adjusting for a number of potential confunding factors, our study findings support the effectiveness of applying an FC teaching model to cultivate medical students' EBM literacy.

Method's corner: Allergist's guide to network meta-analysis.

Network meta-analyses (NMAs) simultaneously estimate the effects of multiple possible treatment options for a given clinical presentation. For allergists to benefit optimally from NMAs, they must understand the process and be able to interpret the results. Through a worked example published in Pediatric Allergy and Immunology, we summarize how to identify credible NMAs and interpret them with a focus on recent innovations in the GRADE approach (Grading of Recommendations Assessment, Development, and Evaluation). NMAs build on traditional systematic reviews and meta-analyses that consider only direct paired comparisons by including indirect evidence, thus allowing the simultaneous assessment of the relative effect of all pairs of competing alternatives. Our framework informs clinicians of how to identify credible NMAs and address the certainty of the evidence. Trustworthy NMAs fill a critical gap in providing key inferences using direct and indirect evidence to inform clinical decision making when faced with more than two competing courses of treatment options. This document will help allergists to identify trustworthy NMAs to enhance patient care.

MedNar: Free Specialty Database for Accessing the Deep Web.

MedNar is a helpful complement to use with standard medical databases like PubMed and MedlinePlus for deep web information searches, for those looking to discover the most relevant and recent information to use in the practice of Evidence Based Medicine. Since the deep web contains extensive information, although not easily accessible via traditional internet search engines, it is important to consider deep web searches. This article investigates MedNar, a free deep web database, and details why medical evidence explorers should include it in their tool belts.

Level of Evidence Analysis in Journal of Maxillofacial Oral Surgery: A Twelve-Year Bibliometric Analysis of 1300 Publications (2009-2020).

AIM: Analysing Level of Evidence (LOE) provides an insight to evidence-based medicine (EBM). The aim of our study was to evaluate and analyse trends in Levels of Evidence (LOE) in Journal of Maxillofacial and Oral Surgery (MAOS) since inception, i.e. December 2009 along with categorization into subtopics. METHODOLOGY: LOE for each article was determined according to modified American Society of Plastic Surgeons (ASPS) scale and National Health and Medical Research Council (NHMRC) Evidence Hierarchy. RESULTS: A total of 1264 articles were included in the final analysis, out of which high-quality evidence (Level A) accounted for 7% of the journal. The percentage of Level I/II (Level A) has increased from 2.09% in 2009/2010 to 12.74% in 2019/2020, representing a promising trend toward higher-quality research in just 10 years. Case reports and narrative reviews with Level of Evidence value "D" account the highest number (36%) of all the published articles. The majority of articles fell under Class 2 (Maxillofacial pathology) classification (35%) highlighting myriad of articles covering pathologies and various reconstruction methods, followed by trauma (16%). CONCLUSION: The status of LOE and categorizing of published articles are the first step to audit and quantify the nature of literature published by JMOS and may further help in refining the quality of research jointly by the researchers and the editorial board.

[International communication system of acupuncture-moxibustion based on OSI model].

Borrowing the open system interconnection (OSI) model of internet protocol and the 5W theory in communication studies, the links in the international communication of acupuncture-moxibustion can be classified into seven layers: physical layer, data link layer, network layer, transport layer, session layer, presentation layer and application layer, therefore it is built an OSI model of international communication system of acupuncture-moxibustion. It is pointed out that present international communication system of acupuncture-moxibustion is similar to the user datagram protocol (UDP) in internet technology. Evidence-based medicine (EBM) plays a key role to modernize acupuncture- moxibustion theory based upon its clinical effects. According to phenomenon-taking by classified analogy, it is found that the PICO model of EBM agrees pretty well with the "three-way handshakes" mechanism of the internet transmission control protocol (TCP), which is promising to construct an international discourse of acupuncture-moxibustion compatible with western medicine. Thus it will benefit to explore the scientific connotation of acupuncture-moxibustion theory and significantly improve the international prestige of acupuncture-moxibustion.

Internet-Specific Epistemic Beliefs in Medicine and Intention to Use Evidence-Based Online Medical Databases Among Health Care Professionals: Cross-sectional Survey.

BACKGROUND: Evidence-based medicine has been regarded as a prerequisite for ensuring health care quality. The increase in health care professionals' adoption of web-based medical information and the lack of awareness of alternative access to evidence-based online resources suggest the need for an investigation of their information-searching behaviors of using evidence-based online medical databases. OBJECTIVE: The main purposes of this study were to (1) modify and validate the internet-specific epistemic beliefs in medicine (ISEBM) questionnaire and (2) explore the associations between health care professionals' demographics, ISEBM, and intention to use evidence-based online medical databases for clinical practice. METHODS: Health care professionals in a university-affiliated teaching hospital were surveyed using the ISEBM questionnaire. The partial least squares-structural equation modeling was conducted to analyze the reliability and validity of ISEBM. Furthermore, the structural model was analyzed to examine the possible linkages between health professionals' demographics, ISEBM, and intention to utilize the evidence-based online medical databases for clinical practice. RESULTS: A total of 273 health care professionals with clinical working experience were surveyed. The results of the measurement model analysis indicated that all items had significant loadings ranging from 0.71 to 0.92 with satisfactory composite reliability values ranging from 0.87 to 0.94 and average variance explained values ranging from 0.70 to 0.84. The results of the structural relationship analysis revealed that the source of internet-based medical knowledge (path coefficient -0.26, P=.01) and justification of internet-based knowing in medicine (path coefficient 0.21, P=.001) were correlated with the intention to use evidence-based online medical databases. However, certainty and simplicity of internet-based medical knowledge were not. In addition, gender (path coefficient 0.12, P=.04) and academic degree (path coefficient 0.15, P=.004) were associated with intention to use evidence-based online medical databases for clinical practice. CONCLUSIONS: Advancing health care professionals' ISEBM regarding source and justification may encourage them to retrieve valid medical information through evidence-based medical databases. Moreover, providing support for specific health care professionals (ie, females, without a master's degree) may promote their intention to use certain databases for clinical practice.