Dataset Information

A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports.

ABSTRACT: Electronic performance and tracking systems (EPTS) and microelectromechanical systems (MEMS) allow the measurement of training load (TL) and collective behavior in team sports so that match performance can be optimized. Despite the frequent use of radio-frequency (RF) technology (i.e., global positioning navigation systems (GNSS/global positioning systems (GPS)) and, local position systems (LPS)) and MEMS in sports research, there is no protocol that must be followed, nor are there any set guidelines for evaluating the quality of the data collection process in studies. Thus, this study aims to suggest a survey based on previously used protocols to evaluate the quality of data recorded by RF technology and MEMS in team sports. A quality check sheet was proposed considering 13 general criteria items. Four additional items for GNSS/GPS, eight additional items for LPS, and five items for MEMS were suggested. This information for evaluating the quality of the data collection process should be reported in the methods sections of future studies.

SUBMITTER: Rico-Gonzalez M

PROVIDER: S-EPMC7219584 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports.

Rico-González Markel M Los Arcos Asier A Rojas-Valverde Daniel D Clemente Filipe M FM Pino-Ortega José J

Sensors (Basel, Switzerland) 20200416 8

Electronic performance and tracking systems (EPTS) and microelectromechanical systems (MEMS) allow the measurement of training load (TL) and collective behavior in team sports so that match performance can be optimized. Despite the frequent use of radio-frequency (RF) technology (i.e., global positioning navigation systems (GNSS/global positioning systems (GPS)) and, local position systems (LPS)) and MEMS in sports research, there is no protocol that must be followed, nor are there any set guide ...[more]

PMID: 32316325

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Project description:Collective team collapse occurs when multiple players of a sport team experience a sudden and extreme underperformance within a game. To date, minimal research has been conducted on the causes of collective team collapse. Thus, goals of this study were to explore perceived causes of collective team collapse in different sports and to define team collapse in contrast to negative momentum. To investigate factors causing and maintaining collective sport team collapse, an inductive, exploratory qualitative analysis of individual interviews was conducted. Semi-structured interviews were carried out with 10 athletes of professional German teams of various sports playing in between first and fourth division. Participants were interviewed about a team collapse event they had experienced with their team during the past year. Data were collected and analyzed using a grounded theory methodology. Collective team collapse appeared to be induced by a temporal cascade of causes rather than by single triggers. This cascade included antecedents, which represent factors that make the occurrence of a team collapse more likely; critical events, which include specific events within the game that trigger a team collapse; as well as affective, cognitive, and behavioral outcomes that foster a maintenance of the collapse. Within this theoretical framework, social factors, such as decreased performance contagion or emotional contagion, played crucial roles in causing a team collapse. These results illustrate that collective team collapse is more than the sum of individual choking of multiple players at the same time. In conclusion, a new definition, differentiating team collapse from negative momentum, is introduced. Furthermore, a process model of causes of collective team collapse is proposed. The results provide first insights into causes of collective collapse in a variety of team sports. The developed model is supposed to help future research to better connect to practice and to support athletes, coaches, and sport psychologists.

Project description:BackgroundWork-related burnout is common in primary care and is associated with worse patient safety, patient satisfaction, and employee mental health. Workload, staffing stability, and team completeness may be drivers of burnout. However, few studies have assessed these associations at the team level, and fewer still include members of the team beyond physicians.ObjectiveTo study the associations of burnout among primary care providers (PCPs), nurse care managers, clinical associates (MAs, LPNs), and administrative clerks with the staffing and workload on their teams.DesignWe conducted an individual-level cross-sectional analysis of survey and administrative data in 2014.ParticipantsPrimary care personnel at VA clinics responding to a national survey.Main measuresBurnout was measured with a validated single-item survey measure dichotomized to indicate the presence of burnout. The independent variables were survey measures of team staffing (having a fully staffed team, serving on multiple teams, and turnover on the team), and workload both from survey items (working extended hours), and administrative data (patient panel overcapacity and average panel comorbidity).Key resultsThere were 4610 respondents (estimated response rate of 20.9%). The overall prevalence of burnout was 41%. In adjusted analyses, the strongest associations with burnout were having a fully staffed team (odds ratio [OR] = 0.55, 95% CI 0.47-0.65), having turnover on the team (OR = 1.67, 95% CI 1.43-1.94), and having patient panel overcapacity (OR = 1.19, 95% CI 1.01-1.40). The observed burnout prevalence was 30.1% lower (28.5% vs. 58.6%) for respondents working on fully staffed teams with no turnover and caring for a panel within capacity, relative to respondents in the inverse condition.ConclusionsComplete team staffing, turnover among team members, and panel overcapacity had strong, cumulative associations with burnout. Further research is needed to understand whether improvements in these factors would lower burnout.

Dataset Information

A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports.

Publications

A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports.

Similar Datasets

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