Improving Self-Reported Empathy and Communication Skills Through Harm in Healthcare Response Training

2021 ◽  
pp. 251604352110476
Author(s):  
Aimee Samuels ◽  
Marion E. Broome ◽  
Timothy B. McDonald ◽  
Chii-Hui Peterson ◽  
Julie A. Thompson
Keyword(s):  
Communication Skills ◽  
Effect Size ◽  
Cognitive Complexity ◽  
Statistical Significance ◽  
Healthcare Organizations ◽  
Response Training ◽  
Cohen’S D ◽  
Moderate Effect Size ◽  
Moderate Effect ◽  
Cohen's D

Objective Communication and Resolution Programs (CRP) were developed to equip healthcare organizations with tools to respond when physical and psychological harm occurs. Our objective was to assess development of empathic behaviors and communication skills through CRP training based upon the Agency for Healthcare Research and Quality (AHRQ) CANDOR toolkit to assess the ability to develop and improve empathic behaviors and communication skills. Methods The Jefferson Scale of Empathy, the CANDOR Communication Assessment Questionnaire and a self-assessment were used pre- and post-intervention to analyze development of empathy, growth of communication, and improvement in confidence and knowledge through 6 h of virtual education over a six-week course. Results Self-reported communication, confidence and knowledge improved with statistical significance and small to moderate effect size in both men and women. A statistically significant improvement of self-reported empathy scores t (22)  =  2.23, p  =  .037; (95% CI  =  0.41 to 11.5) for women only represented a small to moderate effect size (Cohen’s d  =  0.46). While there was no improvement in Cognitive Complexity, (Cohen’s d  =  0.065) mean pre-post .42 (SD  =  6.52); Message Design Logic improved with statistical significance in paired pre-and post-assessment (Z  =  -3.28, p  =  .001). Notably, previous attendance at CANDOR classes demonstrated no impact on improvement of scores. Conclusions Our findings demonstrate improvement in self-reported empathy and communication skills through harm in healthcare response training. Healthcare organizations should carefully consider investing in CANDOR training for the benefit of patients, their families, and healthcare workforce members.

scholarly journals 0636 Using AI To Predict Future CPAP Adherence and the Impact of Behavioral and Technical Interventions

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A243-A243
Author(s):  
W Hevener ◽  
B Beine ◽  
J Woodruff ◽  
D Munafo ◽  
C Fernandez ◽  
...  
Keyword(s):  
Effect Size ◽  
Statistical Significance ◽  
Post Intervention ◽  
Cpap Adherence ◽  
Cohen’S D ◽  
Usage Patterns ◽  
Patient Outreach ◽  
Cohen's D ◽  
The Impact ◽  
Usage Data

Abstract Introduction Clinical management of CPAP adherence remains an ongoing challenge. Behavioral and technical interventions such as patient outreach, coaching, troubleshooting, and resupply may be deployed to positively impact adherence. Previous authors have described adherence phenotypes that retrospectively categorize patients by discrete usage patterns. We design an AI model that predictively categorizes patients into previously studied adherence phenotypes and analyzes the statistical significance and effect size of several types of interventions on subsequent CPAP adherence. Methods We collected a cross-sectional cohort of subjects (N = 13,917) with 455 days of daily CPAP usage data acquired. Patient outreach notes and resupply data were temporally synchronized with daily CPAP usage. Each 30-days of usage was categorized into one of four adherence phenotypes as defined by Aloia et al. (2008) including Good Users, Variable Users, Occasional Attempters, and Non-Users. Cross-validation was used to train and evaluate a Recurrent Neural Network model for predicting future adherence phenotypes based on the dynamics of prior usage patterns. Two-sided 95% bootstrap confidence intervals and Cohen’s d statistic were used to analyze the significance and effect size of changes in usage behavior 30-days before and after administration of several resupply interventions. Results The AI model predicted the next 30-day adherence phenotype with an average of 90% sensitivity, 96% specificity, 95% accuracy, and 0.83 Cohen’s Kappa. The AI model predicted the number of days of CPAP non-use, use under 4-hours, and use over 4-hours for the next 30-days with OLS Regression R-squared values of 0.94, 0.88, and 0.95 compared to ground truth. Ten resupply interventions were associated with statistically significant increases in adherence, and ranked by adherence effect size using Cohen’s d. The most impactful were new cushions or masks, with a mean post-intervention CPAP adherence increase of 7-14% observed in Variable User, Occasional Attempter, and Non-User groups. Conclusion The AI model applied past CPAP usage data to predict future adherence phenotypes and usage with high sensitivity and specificity. We identified resupply interventions that were associated with significant increases in adherence for struggling patients. This work demonstrates a novel application for AI to aid clinicians in maintaining CPAP adherence. Support  

scholarly journals O efeito do método Pilates na fadiga em pacientes com câncer de mama / The effect of Pilates Method on fatigue in breast cancer patients

2021 ◽  
Vol 4 (6) ◽  
pp. 28459-28470
Author(s):  
Eduely Cássia Turbino ◽  
Samanta Dias De Souza ◽  
Vanessa Fonseca Vilas Boas ◽  
Anita Belloto Leme Nagib ◽  
Laura Ferreira De Rezende
Keyword(s):  
Breast Cancer ◽  
Muscle Fatigue ◽  
Effect Size ◽  
Breast Cancer Survivors ◽  
Statistical Significance ◽  
Cáncer De Mama ◽  
Significant Difference ◽  
Moderate Effect Size ◽  
Pilates Method ◽  
Moderate Effect

PURPOSE: Cancer-related fatigue is a persistent and subjective physical or emotional feeling that interferes with the life quality in breast cancer survivors. Thus, it can lead to a vicious circle of inactivity, which leads to deconditioning, emotional stress and sleep disorders, which interferes with the daily activities and self-esteem. Pilates method is a good exercise program for the breast cancer survivor because includes resistance and stretching exercises synchronized with breathing. The main purpose was to evaluate the effectiveness of Pilates exercises on muscle fatigue in patients with breast cancer in the behavioral, affective and sensory domains. METHODS: A longitudinal study was carried out, in which 34 women with fatigue were recruited in the late postoperative of breast cancer. The evaluations were executed using the Revised Piper Fatigue Scale. Statistical analysis was performed using SigmaPlot 14.0 Program. Statistical significance was set as P0.05 and the responsiveness was calculated using effect size by Cohen. Parameters for 3 time points (admission, 30 days and 90 days) were compared using the Friedman test. RESULTS: In general there was a statistically significant difference between the admission group and 30 days with a moderate effect size. After 90 days of exercise only the comportamental and affective domains presented statistically significant difference with a moderate effect size. CONCLUSION: Thus, it was possible to demonstrate that Pilates exercises significantly improve muscle fatigue in women in the late postoperative period of breast cancer after 30 days of exercises and the behavioral and affective domain after 90 days.

scholarly journals Specific Absolute Velocity Thresholds during Male Basketball Games Using Local Positional System; Differences between Age Categories

2021 ◽  
Vol 11 (10) ◽  
pp. 4390
Author(s):  
Carlos Sosa ◽  
Alberto Lorenzo ◽  
Juan Trapero ◽  
Carlos Ribas ◽  
Enrique Alonso ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Real Time ◽  
Effect Size ◽  
High Speed ◽  
Maximum Speed ◽  
Large Effect Size ◽  
Moderate Effect Size ◽  
Positional System ◽  
Moderate Effect ◽  
Distance Zone

The aim of this study was (I) to establish absolute specific velocity thresholds during basketball games using local positional system (LPS) and (II) to compare the speed profiles between various levels of competitions. The variables recorded were total distance (TD); meters per minute (m·min); real time (min); maximum speed (Km h−1), distance (m), percentage distance, and percentage duration invested in four speed zones (standing–walking; jogging; running; and high-speed running). Mean and standard deviation (±SD) were calculated, and a separate one-way analysis of variance was undertaken to identify differences between competitions. TD (3188.84 ± 808.37 m) is covered by standing–walking (43.51%), jogging (36.58%), running (14.68%), and sprinting (5.23%) activities. Overall, 75.22% of the time is invested standing–walking, jogging (18.43%), running (4.77%), and sprinting (1.89%). M·min (large effect size), % duration zone 2 (moderate effect size); distance zone 4 (large effect size), and % distance zone 4 (very large effect size) are significantly higher during junior than senior. However, % distance zone 1 (large effect size) and % duration zone 1 (large effect size) were largely higher during senior competition. The findings of this study reveal that most of the distance and play time is spent during walking and standing activities. In addition, the proportion of time spent at elevated intensities is higher during junior than in senior competition.

scholarly journals Auriculotherapy to reduce anxiety and pain in nursing professionals: a randomized clinical trial

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Leonice Fumiko Sato Kurebayashi ◽  
Ruth Natalia Teresa Turrini ◽  
Talita Pavarini Borges de Souza ◽  
Carolina Felicio Marques ◽  
Renata Tavares Franco Rodrigues ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Clinical Trial ◽  
Randomized Clinical Trial ◽  
Nursing Staff ◽  
Repeated Measures ◽  
Statistical Significance ◽  
Cohen’S D ◽  
Pain Visual Analog Scale ◽  
Cohen's D

RESUMEN Objectives: to evaluate the effectiveness of the auricular protocol (APPA) in reducing pain and anxiety and improving the quality of life of the nursing staff of a hospital. Method: randomized clinical trial with an initial sample of 180 professionals divided into 4 groups Control (G1), Seed (G2), Needle (G3) and Tape (G4). The evaluation instruments were the State-Trait Anxiety Inventory, Pain Visual Analog Scale and Quality of Life instrument, applied at the start and after five and 10 sessions (five weeks). Descriptive statistics, analysis of variance (ANOVA) and Cohen's d Index were used in the analysis. Results: there was a statistical difference (p < 0.05) for anxiety according to the repeated measures ANOVA, with better results for the G3 in the final assessment (Cohen's d index 1.08/17% reduction). There was a reduction of pain of 36% in G3 and 24% in G2 and a 13% increase in the mental aspect of quality of life for the G3, although without statistical significance. Conclusion: the APPA protocol reduced the anxiety levels of nursing staff after 10 sessions. Further studies are, however, suggested with new populations and in different contexts so that the results can be confirmed. RBR-5pc43m.

A non-parametric effect size measure capturing changes in central tendency and shape of data distributions more flexibly than Cohen’s d

2020 ◽  
Author(s):  
Jörn Lötsch ◽  
Alfred Ultsch
Keyword(s):  
Effect Size ◽  
Data Science ◽  
Heterogeneous Data ◽  
Machine Learning Algorithms ◽  
Central Tendency ◽  
Effect Size Measure ◽  
Specific Data ◽  
Cohen’S D ◽  
Size Measure ◽  
Cohen's D

Abstract Calculating the magnitude of treatment effects or of differences between two groups is a common task in quantitative science. Standard effect size measures based on differences, such as the commonly used Cohen's, fail to capture the treatment-related effects on the data if the effects were not reflected by the central tendency. "Impact” is a novel nonparametric measure of effect size obtained as the sum of two separate components and includes (i) the change in the central tendency of the group-specific data, normalized to the overall variability, and (ii) the difference in the probability density of the group-specific data. Results obtained on artificial data and empirical biomedical data showed that impact outperforms Cohen's d by this additional component. It is shown that in a multivariate setting, while standard statistical analyses and Cohen’s d are not able to identify effects that lead to changes in the form of data distribution, “Impact” correctly captures them. The proposed effect size measure shares the ability to observe such an effect with machine learning algorithms. It is numerically stable even for degenerate distributions consisting of singular values. Therefore, the proposed effect size measure is particularly well suited for data science and artificial intelligence-based knowledge discovery from (big) and heterogeneous data.

scholarly journals Targeting Turkish-to-English Interlingual Interference Through Context-Heavy Data-Driven Learning

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092059 ◽  
Author(s):  
Keith John Lay ◽  
Mehmet Ali Yavuz
Keyword(s):  
Search Engine ◽  
Effect Size ◽  
First Language ◽  
Significant Degree ◽  
Data Driven ◽  
Step Process ◽  
Hands On ◽  
Moderate Effect Size ◽  
Moderate Effect ◽  
Grammar Development

This study investigates the effect of grammar-focused hands-on in-class data-driven learning (DDL) with a heavily contextualized corpus on the frequency of written errors attributable to common interlingual interference issues in low–intermediate Turkish learners ( n = 30) of English. Items representing the most common Turkish-to-English interlingual errors were selected through a two-step process involving the analysis of past studies and a subsequent ranking survey of teachers ( n = 10) of Turkish learners of English. Participants’ grammar development in terms of types of written errors was measured over a ten-week period through written tasks in a pre/posttest design, producing 19,328 words for analysis. The results, although variable by item, suggest that targeted DDL with the TED Corpus Search Engine (TCSE) helps reduce written errors in Turkish learners of English to a significant degree with a moderate effect size. Consequently, the investigation of DDL with the TCSE for the targeting of interlingual interference in other first-language contexts is recommended.

Age and Sex Differences in Representation of Horizontality among Children in India

1989 ◽  
Vol 68 (3) ◽  
pp. 739-746 ◽  
Author(s):  
Richard de Lisi ◽  
Gowri Parameswaran ◽  
Ann V. McGillicuddy-Delisi
Keyword(s):  
Sex Differences ◽  
Individual Differences ◽  
Water Level ◽  
Effect Size ◽  
Fourth Graders ◽  
Ninth Graders ◽  
Female Adolescents ◽  
Moderate Effect Size ◽  
Moderate Effect ◽  
Age And Sex

Girls and boys from Grades 4 ( ns = 15) and 9 ( ns = 15 and 16) in Bombay, India were individually administered water-level and crossbar assessments of horizontality representation. Ninth graders were more successful than fourth graders, especially on trials in which the apparatus was obliquely rotated. Ninth graders, however, did not perform at ceiling levels, and a sex difference with a moderate effect size favoring male over female adolescents was obtained for the water-level task. These findings of both developmental and individual differences in horizontality performance replicate previous findings in Western cultures.

Quiet Eye and Performance in Sport: A Meta-Analysis

2016 ◽  
Vol 38 (5) ◽  
pp. 441-457 ◽  
Author(s):  
Jean-Charles Lebeau ◽  
Sicong Liu ◽  
Camilo Sáenz-Moncaleano ◽  
Susana Sanduvete-Chaves ◽  
Salvador Chacón-Moscoso ◽  
...  
Keyword(s):  
Effect Size ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Subsequent Performance ◽  
Quiet Eye ◽  
Performance Effects ◽  
Moderate Effect Size ◽  
Moderate Effect ◽  
And Performance ◽  
Absolute Duration

Research linking the “quiet eye” (QE) period to subsequent performance has not been systematically synthesized. In this paper we review the literature on the link between the two through nonintervention (Synthesis 1) and intervention (Synthesis 2) studies. In the first synthesis, 27 studies with 38 effect sizes resulted in a large mean effect (d = 1.04) reflecting differences between experts’ and novices’ QE periods, and a moderate effect size (d = 0.58) comparing QE periods for successful and unsuccessful performances within individuals. Studies reporting QE duration as a percentage of the total time revealed a larger mean effect size than studies reporting an absolute duration (in milliseconds). The second synthesis of 9 articles revealed very large effect sizes for both the quiet-eye period (d = 1.53) and performance (d = 0.84). QE also showed some ability to predict performance effects across studies.

scholarly journals The effects of misspecifying the random part of multilevel models

Methodology ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 224-240
Author(s):  
David M. LaHuis ◽  
Daniel R. Jenkins ◽  
Michael J. Hartman ◽  
Shotaro Hakoyama ◽  
Patrick C. Clark
Keyword(s):  
Effect Size ◽  
Fixed Effects ◽  
Multilevel Model ◽  
Multilevel Models ◽  
The Other ◽  
Standard Errors ◽  
Moderate Effect Size ◽  
Moderate Effect ◽  
Level 1 ◽  
Random Part

This paper examined the amount bias in standard errors for fixed effects when the random part of a multilevel model is misspecified. Study 1 examined the effects of misspecification for a model with one Level 1 predictor. Results indicated that misspecifying random slope variance as fixed had a moderate effect size on the standard errors of the fixed effects and had a greater effect than misspecifying fixed slopes as random. In Study 2, a second Level 1 predictor was added and allowed for the examination of the effects of misspecifying the slope variance of one predictor on the standard errors for the fixed effects of the other predictor. Results indicated that only the standard errors of coefficient relevant to that predictor were impacted and that the effect size for the bias could be considered moderate to large. These results suggest that researchers can use a piecemeal approach to testing multilevel models with random effects.

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