scholarly journals Agreement Between Dribble and Change of Direction Deficits to Assess Directional Asymmetry in Young Elite Football Players

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 787 ◽  
Author(s):  
Athos Trecroci ◽  
Tindaro Bongiovanni ◽  
Luca Cavaggioni ◽  
Giulio Pasta ◽  
Damiano Formenti ◽  
...  
Keyword(s):  
Kappa Statistic ◽  
Potential Difference ◽  
Directional Asymmetry ◽  
Football Players ◽  
Cohen’S Kappa ◽  
Change Of Direction ◽  
Task Specificity ◽  
Cohen's Kappa ◽  
Significant Difference ◽  
Level Of Agreement

This study aimed to examine the agreement between asymmetries of dribble and change of direction (COD) deficits and to determine their potential difference to each other. Sixteen young elite football players were recruited and tested for sprint (over 10 m), dribbling (90°CODdribbling) and COD (90°CODrunning) performance in dominant (fastest) and non-dominant (slowest) directions. Dribble and COD deficits were computed to express dribbling and COD ability without the influence of acceleration. The asymmetric index (AI%) of both dribble and COD deficits were obtained for both directions. The level of agreement between dribble and COD deficits was assessed by Cohen’s kappa statistic (κ). Results showed that AI% measured by dribble and COD deficits presented a poor level of agreement (κ = −0.159), indicating their imbalance did not favor the same direction. Moreover, AI% of the dribble deficit was significantly higher than those of the COD deficit. This study demonstrated that asymmetries in dribbling and change of direction performance (measured by dribble and COD deficit) were not in agreement to favor the same direction, also displaying a significant difference to each other. Practitioners should consider the task-specificity of asymmetry to reduce the imbalance in dribbling and COD performance.

scholarly journals Voice-Based Screening For SARS-CoV-2 Exposure In Cardiovascular Clinics

2021 ◽  
Author(s):  
Abhinav Sharma ◽  
Emily Oulousian ◽  
Jiayi Ni ◽  
Renato Lopes ◽  
Matthew Pellan Cheng ◽  
...  
Keyword(s):  
Healthcare Provider ◽  
Clinical Care ◽  
Health Centre ◽  
Healthcare Delivery ◽  
Signs And Symptoms ◽  
Kappa Statistic ◽  
Cohen’S Kappa ◽  
Cohen's Kappa ◽  
Mcgill University ◽  
Strongly Agree

Abstract Aims Artificial intelligence (A.I) driven voice-based assistants may facilitate data capture in clinical care and trials; however, the feasibility and accuracy of using such devices in a healthcare environment are unknown. We explored the feasibility of using the Amazon Alexa (‘Alexa’) A.I. voice-assistant to screen for risk-factors or symptoms relating to SARS-CoV-2 exposure in quaternary care cardiovascular clinics. Methods We enrolled participants to be screened for signs and symptoms of SARS-CoV-2 exposure by a healthcare provider and then subsequently by the Alexa. Our primary outcome was interrater reliability of Alexa to healthcare provider screening using Cohen’s Kappa statistic. Participants rated the Alexa in a post-study survey (scale of 1 to 5 with 5 reflecting strongly agree). This study was approved by the McGill University Health Centre ethics board. Results We prospectively enrolled 215 participants. The mean age was 46 years (17.7 years standard deviation [SD]), 55% were female, and 31% were French speakers (others were English). In total, 645 screening questions were delivered by Alexa. The Alexa mis-identified one response. The simple and weighted Cohen’s kappa statistic between Alexa and healthcare provider screening was 0.989 (95% CI: 0.982, 0.997) and 0.992 (955 CI 0.985, 0.999) respectively. The participants gave an overall mean rating of 4.4 (out of 5, 0.9 SD). Conclusion Our study demonstrates the feasibility of an A.I. driven multilingual voice-based assistant to collect data in the context of SARS-CoV-2 exposure screening. Future studies integrating such devices in cardiovascular healthcare delivery and clinical trials are warranted. Registration https://clinicaltrials.gov/ct2/show/NCT04508972

scholarly journals Development, Relative Validity and Reproducibility of the Aus-SDS (Australian Short Dietary Screener) in Adults Aged 70 Years and above

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1436 ◽  
Author(s):  
Adelle M. Gadowski ◽  
Tracy A. McCaffrey ◽  
Stephane Heritier ◽  
Andrea J. Curtis ◽  
Natalie Nanayakkara ◽  
...  
Keyword(s):  
Daily Intake ◽  
Kappa Statistic ◽  
Food Groups ◽  
Cohen’S Kappa ◽  
Relative Validity ◽  
Cohen's Kappa ◽  
Spearman’S Correlation ◽  
Acceptable Agreement ◽  
Dietary Screener ◽  
Good Agreement

The aim of this study was to assess the relative validity and reproducibility of a six-item Australian Short Dietary Screener (Aus-SDS). The Aus-SDS assessed the daily intake of core food groups (vegetables, fruits, legumes and beans, cereals, protein sources and dairy sources) in 100 Australians (52 males and 48 females) aged ≥70 years. Relative validity was assessed by comparing intakes from the Aus-SDS1 with an average of three 24-h recalls (24-HRs), and reproducibility using two administrations of the Aus-SDS (Aus-SDS1 and Aus-SDS2). Cohen’s kappa statistic between the Aus-SDS1 and 24-HRs showed moderate to good agreement, ranging from 0.44 for fruits and dairy to 0.64 for protein. There was poor agreement for legume intake (0.12). Bland–Altman plots demonstrated acceptable limits of agreement between the Aus-SDS1 and 24-HRs for all food groups. Median intakes obtained from Aus-SDS1 and Aus-SDS2 did not differ. For all food groups, Cohen’s kappa statistic ranged from 0.68 to 0.89, indicating acceptable agreement between the Aus-SDS1 and Aus-SDS2. Spearman’s correlation coefficient between Aus-SDS1 and 24-HRs across all food groups ranged from 0.64 for fruit to 0.83 for protein. We found the Aus-SDS to be a useful tool in assessing daily intake of core food groups in this population.

scholarly journals Teleneurorehabilitation program (virtual reality) for patients with balance disorders: descriptive study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Marcos Maldonado-Díaz ◽  
Patricia Vargas ◽  
Ricardo Vasquez ◽  
Felipe Gonzalez-Seguel ◽  
Betel Rivero ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Interobserver Reliability ◽  
Kappa Statistic ◽  
Descriptive Study ◽  
Second Phase ◽  
Maximum Width ◽  
Balance Disorders ◽  
Vestibular Diseases ◽  
Significant Difference ◽  
Level Of Agreement

Abstract Background Balance disorders are common in patients with neurological or vestibular diseases. Telerehabilitation program is a treatment to be as safe as conventional treatment. One of the most used methods to perform telerehabilitation is the incorporation of Virtual Reality. In general, rehabilitation programs train predictive postural control, so the patient does not always acquire the necessary autonomy to react to situations of instability. On the other hand, the objective and systematic supervision and measurement of these programs is limited, making it necessary to create clinical protocols with precise and measurable rehabilitation objectives. This study present the training selection methodology and clinical protocol for patients with balance disorders inserted in a Telerehabilitation Program based on Virtual Reality. Methods Descriptive study where physiotherapists were trained to use RehaMetrics®. To evaluate their level of agreement in the selection of the exercise clusters developed, the Interobserver Reliability was measured through the kappa statistic. Subsequently, the exercises were applied to a group of patients recruited with sedentary trunk control (Berg Balance Scale = 3 points in item 3), mild or normal cognitive level (Montreal Cognitive Assessment> 21 points), and prescribed for tele-rehabilitation by a doctor. Results The agreement among the expert physiotherapists irrespective of the cluster exceeds 80%, which indicates a very good strength of agreement, while the novices reached a level of agreement of 45%, which suggests a moderate strength of agreement. All clinical outcomes showed statistically significant differences between the median times, as did the Maximum Width Left Side (MWLS) (cm). The average number of minutes of training was 485.81 (SD 246.49 min), and the number of sessions performed during the 4 weeks of intervention was 17 (SD 7.15 sessions). Conclusions This analysis what had excellent interobserver reliability with trained physiotherapists. Regarding the second phase of the study, the results show a statistically significant difference between the initial and final evaluation of the clinical tests, which could result in better performance in aspects such as: balance, gait functionality, meter walked and cognition. Telerehabilitation Program based on Virtual Reality is an excellent alternative to provide continuity of treatment to patients with balance disorders.

scholarly journals Sparse 3D contrast-enhanced whole-heart imaging for coronary artery evaluation

Herz ◽  
2022 ◽  
Author(s):  
Uzair Ansari ◽  
Sonja Janssen ◽  
Stefan Baumann ◽  
Martin Borggrefe ◽  
Stephan Waldeck ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Image Quality ◽  
Cardiac Computed Tomography ◽  
Acquisition Time ◽  
Cohen’S Kappa ◽  
Cohen's Kappa ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Whole Heart

Abstract Background We investigated the feasibility of evaluating coronary arteries with a contrast-enhanced (CE) self-navigated sparse isotropic 3D whole heart T1-weighted magnetic resonance imaging (MRI) study sequence. Methods A total of 22 consecutive patients underwent coronary angiography and/or cardiac computed tomography (CT) including cardiac MRI. The image quality was evaluated on a 3-point Likert scale. Inter-reader variability for image quality was analyzed with Cohen’s kappa for the main coronary segments (left circumflex [LCX], left anterior descending [LAD], right coronary artery [RCA]) and the left main trunk (LMT). Results Inter-reader agreement for image quality of the coronary tree ranged from substantial to perfect, with a Cohen’s kappa of 0.722 (RCAmid) to 1 (LCXprox). The LMT had the best image quality. Image quality of the proximal vessel segments differed significantly from the mid- and distal segments (RCAprox vs. RCAdist, p < 0.05). The LCX segments showed no significant difference in image quality along the vessel length (LCXprox vs. LCXdist, p = n.s.). The mean acquisition time for the study sequence was 553 s (±46 s). Conclusion Coronary imaging with a sparse 3D whole-heart sequence is feasible in a reasonable amount of time producing good-quality imaging. Image quality was poorer in distal coronary segments and along the entire course of the LCX.

Cohen's Kappa Statistic: A Critical Appraisal and Some Modifications

2006 ◽  
Vol 58 (3-4) ◽  
pp. 151-170 ◽  
Author(s):  
Bikas K. Sinha ◽  
Pornpis Yimprayoon ◽  
Montip Tiensuwan
Keyword(s):  
Critical Appraisal ◽  
Kappa Statistic ◽  
Cohen’S Kappa ◽  
Cohen's Kappa

Comparison of Morphological Similarities and Differences between Liquid-Based Cytology and Conventional Techniques of Serous Effusion Cytology Specimens

2021 ◽  
pp. 1-6
Author(s):  
Nurhan Baykus ◽  
Selver Özekinci ◽  
Zeynep Betul Erdem ◽  
Eren Vurgun ◽  
Fetin Rustu Yildiz
Keyword(s):  
Morphological Analysis ◽  
Kappa Statistic ◽  
Structural Features ◽  
Conventional Technique ◽  
Serous Effusion ◽  
Significant Difference ◽  
Microscopic Feature ◽  
Liquid Based Cytology ◽  
The Relationship ◽  
Level Of Agreement

<b><i>Introduction:</i></b> The aim of this study is to discover a fast and efficient method for the diagnosis of serous effusion cytology specimens by comparing the cytomorphological features of SurePath (SP) smears and smears prepared by cytospin. After the macroscopic features of the incoming material were recorded, it was divided into 2 for conventional technique (CT) and liquid-based technique. Cytospin was used for CT and SurePath for liquid-based technique in this study. <b><i>Materials and Methods:</i></b> 243 serous effusions (33 thoracentesis and 92 paracentesis fluids, 118 peritoneal lavage fluids) were investigated. After shaking the effusion gently, it was centrifuged for 5 min at 1,250 rpm for cytospin smear. SP smear was prepared according to the “BD PrepStain slide processor”. Two smears were prepared with these 2 methods and then stained with Papanicolaou. The smears were examined under a light microscope in terms of fixation, background, cellularity, nucleus, and structural features. All statistical analysis of the data was performed using the SPSS 17.0 software. For each microscopic feature, the χ<sup>2</sup> test was used to assess the significance of the relationship between cytospin and SP, and level of agreement in between the methods was assessed using the kappa statistic. <b><i>Results:</i></b> A statistically significant difference was observed between the 2 methods in background (<i>p</i> &#x3c; 0.001), cellularity (<i>p</i> &#x3c; 0.001), nucleus features (<i>p</i> &#x3c; 0.001), and structural features (<i>p</i> &#x3c; 0.05). There was no significant difference in fixation. Low level of agreement was observed with the kappa statistic in fixation, background, and cellularity. Moderate level of agreement was observed in the nucleus and structural feature groups with the kappa statistic. <b><i>Discussion/Conclusion:</i></b> Although there are advantages of liquid-based technique such as standardized fixation and cleaner background, since the cellular and background components required for morphological analysis and diagnosis are better preserved in cytospin, it is considered to be better to use liquid-based technique not alone but together with CT.

scholarly journals Estimation of Glomerular Filtration Rate Based on Serum Cystatin C versus Creatinine in a Uruguayan Population

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Inés Lujambio ◽  
Mariana Sottolano ◽  
Leonella Luzardo ◽  
Sebastián Robaina ◽  
Nadia Krul ◽  
...  
Keyword(s):  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Kappa Statistic ◽  
Serum Cystatin C ◽  
Cohen’S Kappa ◽  
Serum Cystatin ◽  
Cohen's Kappa

Background. Estimation of glomerular filtration rate (eGFR) from biomarkers has evolved and multiple equations are available to estimate renal function at bedside.Methods. In a random sample of 119 Uruguayans (54.5% women; 56.2 years (mean)), we used Bland and Altman’s method and Cohen’s kappa statistic to assess concordance on a continuous or categorical (eGFR < 60versus≥60 mL/min/1.73 m2) scale between eGFRcys(reference) and eGFR derived from serum creatinine according to the Modification of Diet in Renal Disease (eGFRmdrd) or the Chronic Kidney Disease Epidemiology Collaboration equations (eGFRepi) or from both serum cystatin C and creatinine (eGFRmix).Results. In all participants, eGFRmdrd, eGFRepi, and eGFRmixwere, respectively, 9.7, 11.5, and 5.6 mL/min/1.73 m2higher (P<0.0001) than eGFRcys. The prevalence of eGFR <60 mL/min/1.73 m2was the highest for eGFRcys(21.8%), intermediate for eGFRmix(11.8%), and the lowest for eGFRmdrd(5.9%) and eGFRepi(3.4%). Using eGFRcysas reference, we found only fair agreement with the equations based on creatinine (Cohen’s kappa statistic 0.15 to 0.23).Conclusion. Using different equations we reached clinically significant differences in the estimation of renal function. eGFRcysprovides lower estimates, resulting in higher prevalence of eGFR <60 mL/min/1.73 m2.

scholarly journals Dicere Non Nocere: Public Disclosure of Identifiable Patient Information by Health Professionals on Social Media

2020 ◽  
Author(s):  
Matthew S. Katz ◽  
Wasim Ahmed ◽  
Thomas G. Gutheil ◽  
Reshma Jagsi
Keyword(s):  
Social Media ◽  
Health Care Providers ◽  
Health Professionals ◽  
Kappa Statistic ◽  
Time Frame ◽  
Care Providers ◽  
Patient Privacy ◽  
Cohen’S Kappa ◽  
Cohen's Kappa ◽  
Privacy Breaches

AbstractBackgroundRespecting patient privacy and confidentiality is critical for doctor-patient relationships and public trust in medical professionals. The frequency of potentially identifiable disclosures online during periods of active engagement is unknown. Our aim was to quantify potentially identifiable content shared by physicians and other health care providers on social media using the hashtag #ShareAStoryInOneTweet.MethodsWe used Symplur Signals software to access Twitter’s API and searched for tweets including the hashtag. We identified 1206 tweets by doctors, nurses, and other health professionals out of 43,374 tweets shared May 1-31, 2018. We evaluated tweet content in January 2019, eight months after the study period. To determine the incidence of sharing names or potentially identifiable information about patients, we performed a content analysis of the 754 tweets in which tweets disclosed information about others. We also evaluated whether participants raised concerns about privacy breaches and estimated the frequency of deleted tweets. We used dual, blinded coding for a 10% sample to estimate inter-coder reliability for potential identifiability of tweet content using Cohen’s kappa statistic.Results656 participants, including 486 doctors (74.1%) and 98 nurses (14.9%), shared 754 tweets disclosing information about others rather than themselves. Professional participants sharing stories about patient care disclosed the time frame in 95 (12.6%) and included patient names in 15 (2.0%) of tweets. We estimated that friends or families could likely identify the clinical scenario described in 32.1% of the 754 tweets. Among 348 tweets about potentially living patients, we estimated 162 (46.6%) were likely identifiable by patients. Inter-coder reliability in rating the potential identifiability demonstrated 86.8% agreement, with a Cohen’s Kappa of 0.8 suggesting substantial agreement Of the 1206 tweets we identified, 78 (6.5%) had been deleted on the website but were still viewable in the analytics software dataset.ConclusionsDuring periods of active sharing online, nurses, physicians, and other health professionals may sometimes share more information than patients or families might expect. More study is needed to determine whether similar events arise frequently online and to understand how to best ensure that patients’ rights are adequately respected.

scholarly journals Back pain as reported in survey and claims data – comparison of prevalences and concordance by data linkage

2019 ◽  
Author(s):  
Annemarie Feißel ◽  
Bernt-Peter Robra ◽  
Christoph Stallmann ◽  
Enno Swart ◽  
Stefanie March
Keyword(s):  
Back Pain ◽  
Claims Data ◽  
Health Claims ◽  
Data Sources ◽  
Cohen’S Kappa ◽  
Low Level ◽  
Cohen's Kappa ◽  
Health Claims Data ◽  
Administrative Prevalence ◽  
Level Of Agreement

Abstract Objectives Back pain is a burden for those suffering from it as well as for the economy and social insurance system. This explains the great interest in collecting data on back pain in population studies to estimate for instance its prevalence. As part of the lidA study, the agreement between self-reported information on back pain (self-reported prevalence) and health claims data (administrative prevalence) has been examined. Methods In two waves of CAPI, employees (years 1959, 1965) were asked about aspects of health, inter alia, if they experience any symptoms or pain in “upper back or thoracic spine” and “lower back or lumbar region” during the past 12 months. With present informed consent, the CAPI data were individually linked with health claims data (n=1,031). Due to the lack of a gold standard, both data sources were cross-validated. Back pain is logged in claims data across sectors based on two different definitions (2009-2013): Def1) at least one “M54” (ICD-10 coded) entry; Def2) present in at least two quarters within a period of four consecutive quarters. Results The difference between self-reported prevalence (57.8%) and administrative prevalence (58.3%) based on Def1 is minimal in contrast to Def2 (34.6%). Despite almost identical prevalence percentages, Cohen’s Kappa for Def1 indicates a low level of agreement between both data sources (0.23 [95%-CI: 0.17-0.29]). Although prevalence differs significantly based on Def2, Cohen’s Kappa still shows low agreement (0.18 [95%-CI: 0.13-0.24]). Conclusions The low level of agreement between both data sources suggests that each data source identifies a certain group of individuals having few overlaps with one another. Therefore, aiming in identifying the target population for disease-specific health prevention, a combination of both data sources, the prevalence of back pain can be estimated more accurately.

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