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BackgroundWe evaluated the concordance between triage scores generated by a novel Internet clinical decision support tool, Clinical GPS (cGPS) (Lumiata Inc, San Mateo, CA), and the Emergency Severity Index (ESI), a well-established and clinically validated patient severity scale in use today. Although the ESI and cGPS use different underlying algorithms to calculate patient severity, both utilize a five-point integer scale with level 1 representing the highest severity. ObjectiveThe objective of this study was to compare cGPS results with an established gold standard in emergency triage. MethodsWe conducted a blinded trial comparing triage scores from the ESI: A Triage Tool for Emergency Department Care, Version 4, Implementation Handbook to those generated by cGPS from the text of 73 sample case vignettes. A weighted, quadratic kappa statistic was used to assess agreement between cGPS derived severity scores and those published in the ESI handbook for all 73 cases. Weighted kappa concordance was defined a priori as almost perfect (kappa > 0.8), substantial (0.6 < kappa < 0.8), moderate (0.4 < kappa < 0.6), fair (0.2 < kappa< 0.4), or slight (kappa < 0.2). ResultsOf the 73 case vignettes, the cGPS severity score matched the ESI handbook score in 95% of cases (69/73 cases), in addition, the weighted, quadratic kappa statistic showed almost perfect agreement (kappa = 0.93, 95% CI 0.854-0.996). In the subanalysis of 41 case vignettes assigned ESI scores of level 1 or 2, the cGPS and ESI severity scores matched in 95% of cases (39/41 cases). ConclusionsThese results indicate that the cGPS is a reliable indicator of triage severity, based on its comparison to a standardized index, the ESI. Future studies are needed to determine whether the cGPS can accurately assess the triage of patients in real clinical environments.

The target article postulates that rule-based and similarity-based categorization are best described by a unitary process. A number of recent empirical dissociations between rule-based and similarity-based categorization severely challenge this view. Collectively, these new results provide strong evidence that these two types of category learning are mediated by separate systems.

The purpose of this study was to determine how teacher education programs may better prepare teacher candidates to teach in K-12 online learning environments. The primary research question addressed was: What specific knowledge, skills, and dispositions should teacher education programs include in their curriculum to better prepare teacher candidates to teach in K-12 online learning environments? To answer this question, the researcher employed a qualitative case study methodological approach in which the study's participant was observed for three months as he taught multiple sixth grade mathematics classes in a fully online learning environment. Findings from this study indicate that teacher education programs should offer field experiences in K-12 online learning environments and that teacher educators must learn, develop, and model the necessary knowledge, skills, and dispositions relevant to K-12 online learning environments. [ABSTRACT FROM AUTHOR]

The XRF analysis is the most widespread in the industry setting to determine the thickness of metallic coatings, thanks to its ease of use, robustness, and non-destructive nature. However, accurate measurement requires primary standards that are expensive, not always available, and must be periodically replaced due to a limited shelf-life. In this context, we propose a versatile and cost-effective way for measuring the thickness of metallic coatings. Our method relies on a calibration curve based upon self-produced standards made through electroplating process and measured by a cross-sectional microscopy observation, either by SEM or light microscope. Thickness distribution was sufficiently homogeneous to be consistent with certified standard specifications: 5% of thickness variation in the central portion of the coatings (1 cm2) could be achieved for cathode length starting from 5 cm. Moreover, thickness distribution can be quantitatively predicted, relying only on primary current simulations, almost on simple shaped objects. The self-produced standard fit the calibration curve with a R2 > 0.999. Comparing different XRF quantitative methods with Student's t -test, we demonstrated that the proposed protocol is as effective as certified standards-based methods in terms of accuracy but at significantly lower costs. [Display omitted] • Novel protocol for XRF thickness measurement of metallic films. • Self-produced galvanic samples are consistent with certified standards specifications. • The proposed protocol is more accurate than standardless FP method. • The cheapness of the galvanic process makes it possible to realize numerous standards. [ABSTRACT FROM AUTHOR]

The purpose of our study was to determine the accuracy of orthopaedic patient's reported height, weight, and body mass index (BMI). We hypothesized that patient's age, sex and/or BMI may affect their accuracy. We performed a prospective, observational study in the setting of our orthopaedic clinic. Differences between self-reported and actual values were calculated. Patients were categorized based on their age (< 65 vs. ≥ 65), sex, and actual BMI (<30 vs. >30). Student t-test and chi-square test were used to compare groups. Our study included 329 patients. Patients were more likely to underestimate weight (p < 0.001) and overestimate height (p = 0.007). Comparing patients with a BMI < 30 and > 30, height overestimation (0cm vs. 1.14cm, p = 0.004) and weight underestimation (0.09kg vs. 1.29kg, p = 0.02) discrepancies were greater in the BMI > 30 group. Patients, particularly with a BMI >30 kg/m2, over-estimate their height and under-estimate their weight. (Journal of Surgical Orthopaedic Advances 30(3):176-180, 2021).

Introduction: Tele-rehabiliation technologies that track human motion could enable physical therapy in the home. To be effective, these systems need to collect critical metrics without PT supervision both in real time and in a store and forward capacity. The first step of this process is to determine if PTs (PTs) are able to accurately assess the quality and quantity of an exercise repetition captured by a tele-rehabilitation platform. The purpose of this pilot project was to determine the level of agreement of quality and quantity of an exercise delivered and assessed by the Virtual Exercise Rehabilitation Assistant (VERA), and seven PTs., Methods: Ten healthy subjects were instructed by a PT in how to perform four lower extremity exercises. Subjects then performed each exercises delivered by VERA which counted repetitions and quality. Seven PTs independently reviewed video of each subject's session and assessed repetitions quality. The percent difference in total repetitions and analysis of the distribution of rating repetition quality was assessed between the VERA and PTs., Results: The VERA counted 426 repetitions across 10 subjects performing the four different exercises while the mean repetition count from the PT panel was 426.7 (SD = 0.8). The VERA underestimated the total repetitions performed by 0.16% (SD = 0.03%, 95% CI 0.12 - 0. 22). Chi square analysis across raters was χ 2 = 63.17 (df = 6, p<.001), suggesting significant variance in at least one rater., Conclusion: The VERA count of repetitions was accurate in comparison to a seven member panel of PTs. For exercise quality the VERA was able to rate 426 exercise repetitions across 10 patients and four different exercises in a manner consistent with five out of seven experienced PTs.