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Objective: Review the use of physiological measurement in team settings and propose recommendations to improve the state of the science.Background: New sensor and analytical capabilities enable exploration of relationships between team members' physiological dynamics. We conducted a review of physiological measures used in research on teams to understand (1) how these measures are theoretically and operationally related to team constructs and (2) what types of validity evidence exist for physiological measurement in team settings.Method: We identified 32 articles that investigated task-performing teams using physiological data. Articles were coded on several dimensions, including team characteristics. Study findings were categorized by relationships tested between team physiological dynamics (TPD) and team inputs, mediators/processes, outputs, or psychometric properties.Results: TPD researchers overwhelmingly measure single physiological systems. Although there is research linking TPD to inputs and outputs, the research on processes is underdeveloped.Conclusion: We recommend several theoretical, methodological, and statistical themes to expand the growth of the TPD field.Application: Physiological measures, once established as reliable indicators of team functioning, might be used to diagnose suboptimal team states and cue interventions to ameliorate these states. [ABSTRACT FROM AUTHOR]

Leadership measurement, feedback, and development have grown in importance for the field of management. The Mexico–US Border defined as the area of land within 100 km (62.5 miles) north and south of the international boundary, shares common challenges, and requires the development of multicultural change agents who conduct binational actions toward the improvement of public health and quality of life of the population in the region. Leaders across Borders (LaB) was established in 2010 as an advanced certified binational leadership development program aimed at building the capacity of public health, health care, and other community sector leaders working to improve the health of the communities in the Mexico–US Border region. Leadership as a social interaction process requires leader skills development to achieve goals promoting unity and reducing polarization to optimize interactions between all resources, thus improving teamwork. Therefore, measurement and feedback model of general values and beliefs that guide effective behavior, not only individual personality assessments need to drive a proactive learning and action plan development to improve interactions in a team, thus optimizing leadership. Starting 2014, we administered a new model named Systemic Multiple Level Observation of Groups (SYMLOG) to measure the values and beliefs that guide the behavior of learners and team facilitators. We also evaluated the effectiveness of each team of the program and established benchmarks and action plans to optimize interactions and communication between all the learners during the 8-month program. This leads to a stronger systemic network upon graduation from the program. The SYMLOG approach measured initial and improved situations of individual leadership and team performance effectiveness because of the LaB Program training and skills development sessions. The SYMLOG also provided positive feedback to each participant, which had a direct impact on the optimization of members’ interactions of all teams, as well as developing effective leadership values and behaviors of participants. This study presents a case study of this application, the challenges in the design and implementation of the SYMLOG measurement model, and the results obtained for last three cohorts 2014–2016 of LaB Program.

Teamwork training constitutes one of the core approaches for moving healthcare systems toward increased levels of quality and safety, and simulation provides a powerful method of delivering this training, especially for face-paced and dynamic specialty areas such as Emergency Medicine. Team performance measurement and evaluation plays an integral role in ensuring that simulation-based training for teams (SBTT) is systematic and effective. However, this component of SBTT systems is overlooked frequently. This article addresses this gap by providing a review and practical introduction to the process of developing and implementing evaluation systems in SBTT. First, an overview of team performance evaluation is provided. Second, best practices for measuring team performance in simulation are reviewed. Third, some of the prominent measurement tools in the literature are summarized and discussed relative to the best practices. Subsequently, implications of the review are discussed for the practice of training teamwork in Emergency Medicine.

Background: Simulation-based teamwork trainings are considered a powerful training method to advance teamwork, which becomes more relevant in medical education. The measurement of teamwork is of high importance and several instruments have been developed for various medical domains to meet this need. To our knowledge, no theoretically-based and easy-to-use measurement instrument has been published nor developed specifically for simulation-based teamwork trainings of medical students. Internist ward-rounds function as an important example of teamwork in medicine.Purposes: The purpose of this study was to provide a validated, theoretically-based instrument that is easy-to-use. Furthermore, this study aimed to identify if and when rater scores relate to performance.Methods: Based on a theoretical framework for teamwork behaviour, items regarding four teamwork components () were developed. In study one, three ward-round scenarios, simulated by 69 students, were videotaped and rated independently by four trained raters. The instrument was tested for the embedded psychometric properties and factorial structure. In study two, the instrument was tested for construct validity with an external criterion with a second set of 100 students and four raters. Results: In study one, the factorial structure matched the theoretical components but was unable to separate Information Exchange and Team Cooperation. The preliminary version showed adequate psychometric properties (Cronbach’s α=.75). In study two, the instrument showed physician rater scores were more reliable in measurement than those of student raters. Furthermore, a close correlation between the scale and clinical performance as an external criteria was shown (r=.64) and the sufficient psychometric properties were replicated (Cronbach’s α=.78).Conclusions: The validation allows for use of the simulated teamwork assessment scale in undergraduate medical ward-round trainings to reliably measure teamwork by physicians. Further studies are needed to verify the applicability of the instrument.

There is a strong link between teamwork and patient safety. Emerging evidence supports the efficacy of teamwork improvement interventions. However, the availability of reliable, valid, and practical measurement tools and strategies is commonly cited as a barrier to long-term sustainment and spread of these teamwork interventions. This article describes the potential value of sensor-based technology as a methodology to measure and evaluate teamwork in healthcare. The article summarizes the teamwork literature within healthcare, including team improvement interventions and measurement. Current applications of sensor-based measurement of teamwork are reviewed to assess the feasibility of employing this approach in healthcare. The article concludes with a discussion highlighting current application needs and gaps and relevant analytical techniques to overcome the challenges to implementation. Compelling studies exist documenting the feasibility of capturing a broad array of team input, process, and output variables with sensor-based methods. Implications of this research are summarized in a framework for development of multi-method team performance measurement systems. Sensor-based measurement within healthcare can unobtrusively capture information related to social networks, conversational patterns, physical activity, and an array of other meaningful information without having to directly observe or periodically survey clinicians. However, trust and privacy concerns present challenges that need to be overcome through engagement of end users in healthcare. Initial evidence exists to support the feasibility of sensor-based measurement to drive feedback and learning across individual, team, unit, and organizational levels. Future research is needed to refine methods, technologies, theory, and analytical strategies. [ABSTRACT FROM AUTHOR]

Traditional studies on measurements and training of teamwork have often focused on observational teamwork behaviors; however, measurements and training of unobservable teamwork such as mutual performance monitoring are also important for improving teamwork measurement and training. In addition, an improvement of cognitive mechanisms underlying teamwork must effectively be able to enhance team performance because sufficient situation awareness of status of team is expected to be a requirement for positive teamwork behaviors. This study focuses on metacognition in cooperation that underlies team cooperation and aims to investigate the importance of metacognition in cooperation by analyzing contents of reflection on cooperation collected in our previous study in terms of our proposed model about metacognition in cooperation. The comparisons of metacognition in cooperation elicited in a team experiment and team performance indexes suggest that an expansion of range of metacognition in cooperation by metacognitive instructions will enhance team performance and that certain types of metacognition in cooperation are important for positive teamwork. [ABSTRACT FROM AUTHOR]