Mobile Jump Assessment (mJump)

Background. This study had two generals objective. 1) To analyse and study the kinematics characteristics in the Squat Jump and Countermovement Jump Tests, the variables studied were derived from accelerometry, angular velocity and displacement, using the inertial sensor incorporated in the iPhone 4S. 2) To study and locate the correlation between the inertial sensor variables, contact mat variables and dynamometry. Methods. This is a cross-sectional study over 12 healthy young subjects. In attempt to locate the series of kinematic variables that had a significant relationship degree with the contact mat or dynamometry, was used Pearson's linear correlation with 95% Zr. The statistical significance level was established at p<0.05. The subjects performed the Squat Jump and Countermovement Jump Tests three times, and the best record was analyzed and included in the study. Results. The best significant correlation localized in the Squat Jump test were between the minimum rate rotation in the z axis and jump fly time (r=-0.793; p=0.002) and jump height (r=-0.805; p=0.002). Others significant correlation in the Squat Jump test were between the maximum rate rotation in the x and: the right lower limb dynamometry (r = -0.660; p = 0.020) and left lower limb dynamometry (r = -0.613; p = 0.034). In the Countermovement test, the best relationship were between maximum acceleration in the x axis with jump fly time (r=0.819; p=0.001) and jump height (r=0.823; p=0.001). Others significant correlation in the Countermovement test were between the minimum rate rotation in the z axis and jump fly time (r=-0.671; p=0.017) and jump height (r=-0.667; p=0.018). Conclusions. The inertial sensor fitted in the iPhone4 is able to study and analyze the kinematics of the Squat Jump and Countermovement Jump Tests in young healthy people. In this study had been localized significant quantitative relationship between kinematic variables and jumping contact mat or isotonic strength. This contribution of this cross-sectional study could be used to develop algorithms with the help of software to designed mobile apps, thus allowing their application in clinical practice.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

¿Se escriben mejores textos académicos con la ayuda de RedacText 2.0?

El presente proyecto, continuación de otros dos anteriores, es el resultado de la experimentación de la plataforma Redactext 2.0 con estudiantes de Grado en Maestro de Educación Primaria. El objetivo principal consistió en comprobar experimentalmente si la herramienta contribuía a escribir textos académicos mejores. La creación de los Indicadores Textuales de Calidad (ITC), instrumento de gran valor para la revisión y corrección de los textos (T1: sin la utilización de la herramienta y T2 con ayuda de la misma), permitió evaluar unas y otras producciones. Los resultados muestran una mejora consistente de las medias estadísticas de dichos ITC a favor del T2. El análisis de dichos ITC permite ver los puntos fuertes de la plataforma así como sus carencias, lo cual constituye una oportunidad para incorporar las mejoras necesarias

The comparative responsiveness of Hospital Universitario Princesa Index and other composite indices for assessing rheumatoid arthritis activity

Objective To evaluate the responsiveness in terms of correlation of the Hospital Universitario La Princesa Index (HUPI) comparatively to the traditional composite indices used to assess disease activity in rheumatoid arthritis (RA), and to compare the performance of HUPI-based response criteria with that of the EULAR response criteria. Methods Secondary data analysis from the following studies: ACT-RAY (clinical trial), PROAR (early RA cohort) and EMECAR (pre-biologic era long term RA cohort). Responsiveness was evaluated by: 1) comparing change from baseline (Delta) of HUPI with Delta in other scores by calculating correlation coefficients; 2) calculating standardised effect sizes. The accuracy of response by HUPI and by EULAR criteria was analyzed using linear regressions in which the dependent variable was change in global assessment by physician (Delta GDA-Phy). Results Delta HUPI correlation with change in all other indices ranged from 0.387 to 0.791); HUPI's standardized effect size was larger than those from the other indices in each database used. In ACT-RAY, depending on visit, between 65 and 80% of patients were equally classified by HUPI and EULAR response criteria. However, HUPI criteria were slightly more stringent, with higher percentage of patients classified as non-responder, especially at early visits. HUPI response criteria showed a slightly higher accuracy than EULAR response criteria when using Delta GDA-Phy as gold standard. Conclusion HUPI shows good responsiveness in terms of correlation in each studied scenario (clinical trial, early RA cohort, and established RA cohort). Response criteria by HUPI seem more stringent than EULAR's