-
Nurse Education in Practice Jun 2024This study aims to evaluate the nursing students' informatics competency reported in the literature. (Review)
Review
AIM
This study aims to evaluate the nursing students' informatics competency reported in the literature.
BACKGROUND
Nursing informatics competency holds immense significance in the modern healthcare landscape, making it a vital requirement for nursing students before they graduate and embark on their professional careers. Nurses should integrate evidence-based nursing informatics (NI) into routine procedures to manage acute and chronic illnesses due to the increased complexity of the nursing profession and the healthcare systems.
DESIGN
A systematic review.
METHODS
PubMed, Scopus, Web of Science, and EMBASE were searched till December 2023 for any relevant studies evaluating the nursing informatics competency among students.
RESULTS
In this systematic review of 13 articles, the nursing informatics seems to be familiar among nursing students. Most of the included participants were generally competent, with an average total nursing informatics competency score of 3.4. In addition, they reported good scores for the clinical informatics role (Mean = 2.63), attitude (M= 3.7), basic computer knowledge and skills (M= 3.9), applied computer skills (M= 2.5), and wireless device skills (M= 3.2). However, these results were limited due to the use of structurally different assessment tools and their different cutoff values.
CONCLUSION
Nursing informatics competency has a great impact on the quality of services provided by healthcare systems. It is affected by several factors, such as the student's previous computer experience and the curricular and extracurricular exposure to informatics knowledge and skills. The available literature lacks a precise judgment on the competency of nursing students. But it seems to vary from fair to good among them. So, it is recommended to include nursing informatics as an obligatory course rather than an elective in the nursing baccalaureate. This helps prepare future nurses with the required knowledge and skills for better clinical decision-making.
PubMed: 38901275
DOI: 10.1016/j.nepr.2024.104007 -
Journal of Otolaryngology - Head & Neck... 2024Adenotonsillectomy is one of the most common surgical procedures worldwide. The current standard for securing the airway in patients undergoing adenotonsillectomy is... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Adenotonsillectomy is one of the most common surgical procedures worldwide. The current standard for securing the airway in patients undergoing adenotonsillectomy is endotracheal tube (ETT) intubation. Several studies have investigated the use of the laryngeal mask airway (LMA) in this procedure. We conducted a systematic review and meta-analysis to compare the safety and efficacy of the LMA versus ETT in adenotonsillectomy.
METHOD
Databases were searched from inception to 2022 for randomized controlled trials and comparative studies. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The primary outcome is the rate of perioperative respiratory adverse events (PRAEs). Secondary outcomes included the rate of conversion to ETT, desaturations, nausea/vomiting, and surgical time. A subgroup analysis, risk of bias, publication bias, and Grading of Recommendations Assessment, Development, and Evaluation (GRADE) assessments were also performed.
RESULTS
Twelve studies were included in the analysis (4176 patients). The mean overall conversion to ETT was 8.36% [95% confidence interval (CI) = 8.17, 8.54], and for the pediatric group 8.27% (95% CI = 8.08, 8.47). The mean rate of conversion to ETT secondary to complications was 2.89% (95% CI = 2.76, 3.03) while the rest was from poor surgical access. Overall, there was no significant difference in PRAEs [odds ratio (OR) 1.16, 95% CI = 0.60, 2.22], desaturations (OR 0.79, 95% CI = 0.38, 1.64), or minor complications (OR 0.89, 95% CI = 0.50, 1.55). The use of LMA yielded significantly shorter operative time (mean difference -4.38 minutes, 95% CI = -8.28, -0.49) and emergence time (mean difference -4.15 minutes, 95% CI = -5.63, -2.67).
CONCLUSION
For adenotonsillectomy surgery, LMA is a safe alternative to ETT and requires less operative time. Careful patient selection and judgment of the surgeon and anesthesiologist are necessary, especially given the 8% conversion to ETT rate.
Topics: Humans; Tonsillectomy; Adenoidectomy; Laryngeal Masks; Intubation, Intratracheal; Postoperative Complications
PubMed: 38899617
DOI: 10.1177/19160216241263851 -
Frontiers in Immunology 2024To evaluate the methodological quality, report quality, and evidence quality of meta-analysis (MA) and systematic review (SR) on the efficacy of probiotics in the...
BACKGROUND
To evaluate the methodological quality, report quality, and evidence quality of meta-analysis (MA) and systematic review (SR) on the efficacy of probiotics in the treatment of rheumatoid arthritis (RA).
METHODS
Databases were used to identify eligible SRs/MAs until February 12, 2024. The methodological quality of the studies was assessed using AMSTAR-2 tool, the quality of the literature reports was scored using PRISMA checklists, and the quality of the evidence was graded using GRADE system.
RESULTS
Seven reviews including 21 outcomes were included. Methodological quality of the included reviews was of general low, and the entries with poor scores were 2, 4, and 7. By PRISMA checklists, there were some reporting deficiencies, and quality problems were mainly reflected in the reporting registration and protocol, comprehensive search strategy and additional analysis. GRADE results elevated the quality of evidence to be low or very low overall.
CONCLUSIONS
Probiotics may have a therapeutic effect on RA, based on the evidence provided by the SRs/MAs in this overview. Nevertheless, there is still a lack of conclusive evidence due to methodological limitations in the included research. To make trustworthy judgments regarding the efficacy of probiotics in the treatment of RA, more large-scale, high-quality randomized controlled trials are still required.
Topics: Probiotics; Arthritis, Rheumatoid; Humans; Systematic Reviews as Topic; Treatment Outcome; Meta-Analysis as Topic
PubMed: 38873605
DOI: 10.3389/fimmu.2024.1397716 -
Neuroradiology Jun 2024Early identification of hematoma enlargement and persistent hematoma expansion (HE) in patients with cerebral hemorrhage is increasingly crucial for determining clinical...
PURPOSE
Early identification of hematoma enlargement and persistent hematoma expansion (HE) in patients with cerebral hemorrhage is increasingly crucial for determining clinical treatments. However, due to the lack of clinically effective tools, radiomics has been gradually introduced into the early identification of hematoma enlargement. Though, radiomics has limited predictive accuracy due to variations in procedures. Therefore, we conducted a systematic review and meta-analysis to explore the value of radiomics in the early detection of HE in patients with cerebral hemorrhage.
METHODS
Eligible studies were systematically searched in PubMed, Embase, Cochrane and Web of Science from inception to April 8, 2024. English articles are considered eligible. The radiomics quality scoring (RQS) tool was used to evaluate included studies.
RESULTS
A total of 34 studies were identified with sample sizes ranging from 108 to 3016. Eleven types of models were involved, and the types of modeling contained mainly clinical, radiomic, and radiomic plus clinical features. The radiomics models seem to have better performance (0.77 and 0.73 C-index in the training cohort and validation cohort, respectively) than the clinical models (0.69 C-index in the training cohort and 0.70 C-index in the validation cohort) in discriminating HE. However, the C-index was the highest for the combined model in both the training (0.82) and validation (0.79) cohorts.
CONCLUSIONS
Machine learning based on radiomic plus clinical features has the best predictive performance for HE, followed by machine learning based on radiomic features, and can be used as a potential tool to assist clinicians in early judgment.
PubMed: 38862772
DOI: 10.1007/s00234-024-03399-8 -
American Journal of Physical Medicine &... Jun 2024To review the literature regarding the current state and clinical applicability of machine learning (ML) models in prognosticating the outcomes of patients with mild...
OBJECTIVE
To review the literature regarding the current state and clinical applicability of machine learning (ML) models in prognosticating the outcomes of patients with mild traumatic brain injury (mTBI) in the early clinical presentation.
DESIGN
Databases were searched for studies including ML and mTBI from inception to March 10, 2023. Included studies had a primary outcome of predicting post-mTBI prognosis or sequalae. The Prediction model study Risk of Bias for Predictive Models assessment tool (PROBAST) was used for assessing the risk of bias and applicability of included studies.
RESULTS
Out of 1235 articles, 10 met the inclusion criteria, including data from 127,929 patients. The most frequently used modeling techniques were Support Vector Machine (SVM) and Artificial Neural Network (NN) and Area Under the Curve (AUC) ranged from 0.66-0.889. Despite promise, several limitations to studies exist such as low sample sizes, database restrictions, inconsistencies in patient presentation definitions and lack of comparison to traditional clinical judgment or tools.
CONCLUSION
ML models show potential in early stage mTBI prognostication, but to achieve widespread adoption, future clinical studies prognosticating mTBI using ML need to reduce bias, provide clarity and consistency in defining patient populations targeted, and validate against established benchmarks.
PubMed: 38836600
DOI: 10.1097/PHM.0000000000002551 -
BMC Public Health May 2024Mindfulness-based interventions have been tested to be the effective approach for preventing/reducing burnout in medical students. Therefore, this systematic review and... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Mindfulness-based interventions have been tested to be the effective approach for preventing/reducing burnout in medical students. Therefore, this systematic review and meta-analysis aimed to synthesize the scientific evidence and quantify the pooled effect of MBIs on the burnout syndrome in medical students.
METHODS
A comprehensive literature search was conducted in the databases, including PubMed, Embase, ERIC, PsycINFO, Scopus, Cochrane Central Register of Controlled Trials (CENTRAL), China National knowledge Information Database (CNKI) and WanFang Database from database inception to February 2023 using the terms of "mindfulness", "burnout" and "medical students". Two reviewers independently reviewed the studies, and extracted the data of the eligible studies, as well as assessed the risk of bias. A random-effects model was employed to calculate the standardized mean differences (SMD) with 95% confidence intervals (CI) of overall burnout and its sub-domains of burnout (i.e., emotional exhaustion, cynicism, and academic efficacy).
RESULTS
Of 316 records in total, nine studies (with 810 medical students) were ultimately included. The four RCT studies demonstrated an overall judgment of some concerns risk of bias, and the overall risk of biases of the five qRCT studies were judged as serious. In term of the SORT, the RCT and qRCT studies were evaluated as level 2 evidence, and the overall strength of recommendation was classified as B (limited-quality patient-oriented evidence). The pooled analysis showed that MBIs were associated with significant small to moderate improvements for medical students' overall burnout (SMD=-0.64; 95% CI [-1.12, -0.16]; P = 0.009) in the included four RCTs, emotional exhaustion (SMD=-0.27; 95% CI [-0.50, -0.03]; P = 0.03) and academic efficacy (SMD = 0.43; 95% CI [0.20, 0.66]; P<0.001) in the four qRCTs.
CONCLUSIONS
MBIs can serve as an effective approach for reducing burnout symptoms in medical students. Future high-quality studies with a larger sample size and robust randomized controlled trial methodologies should be obtained to reinforce the effectiveness of MBIs for reducing academic burnout in medical students.
Topics: Humans; Students, Medical; Mindfulness; Burnout, Professional
PubMed: 38802770
DOI: 10.1186/s12889-024-18938-4 -
Cognition Aug 2024Absolute pitch is the name given to the rare ability to identify a musical note in an automatic and effortless manner without the need for a reference tone. Those... (Review)
Review
Absolute pitch is the name given to the rare ability to identify a musical note in an automatic and effortless manner without the need for a reference tone. Those individuals with absolute pitch can, for example, name the note they hear, identify all of the tones of a given chord, and/or name the pitches of everyday sounds, such as car horns or sirens. Hence, absolute pitch can be seen as providing a rare example of absolute sensory judgment in audition. Surprisingly, however, the intriguing question of whether such an ability presents unique features in the domain of sensory perception, or whether instead similar perceptual skills also exist in other sensory domains, has not been explicitly addressed previously. In this paper, this question is addressed by systematically reviewing research on absolute pitch using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method. Thereafter, we compare absolute pitch with two rare types of sensory experience, namely synaesthesia and eidetic memory, to understand if and how these phenomena exhibit similar features to absolute pitch. Furthermore, a common absolute perceptual ability that has been often compared to absolute pitch, namely colour perception, is also discussed. Arguments are provided supporting the notion that none of the examined abilities can be considered like absolute pitch. Therefore, we conclude by suggesting that absolute pitch does indeed appear to constitute a unique kind of absolute sensory judgment in humans, and we discuss some open issues and novel directions for future research in absolute pitch.
Topics: Humans; Pitch Perception; Judgment; Synesthesia; Color Perception; Music
PubMed: 38761646
DOI: 10.1016/j.cognition.2024.105805 -
Current Nutrition Reports May 2024Low-glycemic diets are crucial, particularly for individuals with diet-related diseases such as obesity and diabetes. Therefore, observing the impact of multiple forms... (Review)
Review
PURPOSE OF REVIEW
Low-glycemic diets are crucial, particularly for individuals with diet-related diseases such as obesity and diabetes. Therefore, observing the impact of multiple forms of red beetroot-based products on the glycemic profiles of humans under various health conditions has arguably become significant due to beetroot's high fiber content, antioxidants, inorganic nitrates, etc., which this review aims to summarize.
RECENT FINDINGS
The relevant articles published between 2000 and 2022 were obtained from PubMed, Scopus, and ScienceDirect by following the PRISMA-P 2020 statement. This systematic review included 18 randomized controlled trials (RCTs), one non-randomized clinical trial (non-RCT), and one quasi-experimental (QE) study, and they covered different health conditions, e.g., type-2 diabetes mellitus (T2DM), obesity, hypertension, etc. The studies produced conflicting results, likely due to differences in the study design, dosage, duration, and population. The risk of bias in most of the RCTs and QE studies included in the review was assessed as low or moderate, and only one non-RCT was assessed as having a high risk of bias. Red beetroot may help maintain the blood sugar levels of humans under different health conditions. However, the existing results on beetroot's potential for glycemic management are unclear due to varied outcomes across studies. Further intervention studies with standardized protocols and diverse participant groups are necessary to assess the role of beetroot products in regulating blood sugar levels before making a definitive judgment.
PubMed: 38760619
DOI: 10.1007/s13668-024-00546-8 -
Frontiers in Psychology 2024Greene's influential dual-process model of moral cognition (mDPM) proposes that when people engage in Type 2 processing, they tend to make consequentialist moral...
Greene's influential dual-process model of moral cognition (mDPM) proposes that when people engage in Type 2 processing, they tend to make consequentialist moral judgments. One important source of empirical support for this claim comes from studies that ask participants to make moral judgments while experimentally manipulating Type 2 processing. This paper presents a meta-analysis of the published psychological literature on the effect of four standard cognitive-processing manipulations (cognitive load; ego depletion; induction; time restriction) on moral judgments about sacrificial moral dilemmas [ = 44; = 68; total = 14, 003; () = 194.5]. The overall pooled effect was in the direction predicted by the mDPM, but did not reach statistical significance. Restricting the dataset to effect sizes from (high-conflict) personal sacrificial dilemmas (a type of sacrificial dilemma that is often argued to be best suited for tests of the mDPM) also did not yield a significant pooled effect. The same was true for a meta-analysis of the subset of studies that allowed for analysis using the process dissociation approach [ = 8; = 12; total = 2, 577; () = 214.8]. I argue that these results undermine one important line of evidence for the mDPM and discuss a series of potential objections against this conclusion.
PubMed: 38756483
DOI: 10.3389/fpsyg.2024.1388966 -
Einstein (Sao Paulo, Brazil) 2024To identify, synthesize, and analyze the scientific knowledge produced regarding the implications of using clinical simulation for undergraduate nursing or medical... (Review)
Review
OBJECTIVE
To identify, synthesize, and analyze the scientific knowledge produced regarding the implications of using clinical simulation for undergraduate nursing or medical students' motivation for learning.
METHODS
The search for articles was conducted between July 28 and August 3, 2022, on the PubMed/MEDLINE, Scopus, Web of Science, and SciELO databases. The following was used for the search: P - undergraduate students attending Nursing or Medicine courses; C - motivation for learning, and C - skills and clinical simulation laboratory. The following research question guided the study: "What are the implications of clinical simulation on the motivation for learning of undergraduate students of nursing and medicine?" Of the 1,783 articles found, 13 were included in the sample for analysis. All stages of the selection process were carried out by two independent evaluators. The results were presented as charts and a discursive report.
RESULTS
The studies analyzed indicated the beneficial effects of clinical simulation on students' motivation, in addition to other gains such as competencies, technical and non-technical skills, knowledge, belonging, autonomy, clinical judgment, critical and reflective thinking, self-efficacy and decreased anxiety, self-management, and improvements in learning and learning climate.
CONCLUSION
Clinical simulation provides a positive learning environment favorable to the development of technical and interpersonal skills and competencies, and raising the level of motivational qualities.
Topics: Humans; Clinical Competence; Education, Medical, Undergraduate; Learning; Motivation; Simulation Training; Students, Medical; Students, Nursing
PubMed: 38695476
DOI: 10.31744/einstein_journal/2024RW0792