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Introduction: Mass casualty events (MASCAL) are on the rise globally. Although natural disasters are often unavoidable, the preparation to respond to unique patient demands in MASCAL can be improved. Utilizing telemedicine can allow for a better response to such disasters by providing access to a virtual team member with necessary specialized expertise. The purpose of this study was to examine the positive and/or negative impacts of telemedicine on teamwork in teams responding to MASCAL events., Methods: We introduced a telemedical device (DiMobile Care) to Forward Surgical Teams during a MASCAL simulated training event. We assessed teamwork-related attitudes, behaviors, and cognitions during the MASCAL scenario through pre-post surveys and observations of use. Analyses compare users and nonusers of telemedicine and pre-post training differences in teamwork., Results: We received 50 complete responses to our surveys. Overall, clinicians have positive reactions toward the potential benefits of telemedicine; further, participants report a significant decrease in psychological safety after training, with users rating psychological safety as significantly higher than non-telemedicine users. Neither training nor telemedicine use produced significant changes in cognitive and behavioral-based teamwork. Nonetheless, participants reported perceiving that telemedicine improved leadership and adaptive care plans., Conclusions: Telemedicine shows promise in connecting Forward Surgical Teams with nuanced surgical expertise without harming quality of care metrics (i.e., teamwork). However, we advise future iterations of DiMobile Care and other telemedical devices to consider contextual features of information flow to ensure favorable use by teams in time-intensive, high-stakes environments, such as MASCAL., (© The Association of Military Surgeons of the United States 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: The goal of this study is to test an implementation and examine users' perceptions about the usefulness of telemedicine in mass casualty and disaster settings and to provide recommendations for using telemedicine in these settings., Methods: Ninety-two US Army Forward Surgical Team (FST) members participated in a high-fidelity mass casualty simulation at the Army Trauma Training Center (ATTC). Telemedicine was implemented into this simulation., Results: Only 10.9% of participants chose to use telemedicine. The most common users were surgeons and nurses. Participants believed it somewhat improved patient care, attainment of expert resources, decision-making, and adaptation, but not the timeliness of patient care. Participants reported several barriers to using telemedicine in the mass casualty setting, including (1) confusion around team roles, (2) time constraints, and (3) difficultly using in the mass casualty setting (eg, due to noise and other conditions)., Conclusions: There appear to be barriers to the use and usefulness of telemedicine in mass casualty and disaster contexts. Recommendations include designating a member to lead the use of telemedicine, providing telemedical resources whose benefits outweigh the perceived cost in lost time, and ensuring telemedicine systems are designed for the conditions inherent to mass casualty and disaster settings.

Objective: Medical teams play a vital role in the delivery of safe and effective patient care. Toward the goal of becoming a high-reliability health system, the authors posit that the "perfect" medical team is one that develops their attitudes, behaviors, and cognitions (ABCs) to facilitate adaptation., Methods: The authors synthesized the literature (frameworks, measures, and conceptual models) on teamwork in healthcare (k = 161) to develop an evidence-based model of ABCs, which current evidence suggests, are requisite for medical team adaptation. Clinical vignettes were garnered from the media and other sources to illustrate how these ABCs-or failure in using these ABCs-can lead to positive or negative events in healthcare., Results: The resulting model contains the most frequently included ABCs in healthcare teamwork models, measures, and frameworks: psychological safety (41, 25.5%), situation assessment (66, 41.0%), shared mental models (56, 34.8%), team leadership behaviors (78, 48.4%), role awareness (64, 39.7%), team decision-making (61, 37.9%) and planning (41, 25.5%), conflict management (51, 31.7%), task coordination (71, 44.1%), adaptation (46, 28.6%), and backup behavior (54, 33.5%). The authors posit that communication and organizational conditions-other highly cited components-(141, 87.6%, and 90, 55.9%, respectively) serve as moderators of these relationships., Conclusions: The authors argue that each of these ABCs is critical for enhancing team adaptation and subsequently increasing patient safety. A list of practical tools and educational strategies that teams and organizations can use to improve their performance on each of these ABCs is provided., (Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.)

Objective The aim of this study was to describe the relationship between negative affect (NA), decision-making style, time stress, and decision quality in health care. Background Health care providers must often make swift, high-stakes decisions. Influencing factors of the decision-making process in this context have been understudied. Method Within a sample of labor and delivery nurses, physicians, and allied personnel, we used self-report measures to examine the impact of trait factors, including NA, decision-making style, and perceived time stress, on decision quality in a situational judgment test (Study 1). In Study 2, we observed the influence of state NA, state decision-making style, state time stress, and their relationship with decision quality on real clinical decisions. Results In Study 1, we found that trait NA significantly predicted avoidant decision-making style. Furthermore, those who were higher on trait time stress and trait avoidant decision-making style exhibited poorer decisions. In Study 2, we observed associations between state NA with state avoidant and analytical decision-making styles. We also observed that these decision-making styles, when considered in tandem with time stress, were influential in predicting clinical decision quality. Conclusion NA predicts some decision-making styles, and decision-making style can affect decision quality under time stress. This is particularly true for state factors. Application Individual differences, such as affect and decision-making style, should be considered during selection. Training to reduce time stress perceptions should be provided.

Introduction: Increased teammate familiarity in emergency medical services (EMS) promotes development of positive teamwork and protects against workplace injury., Methods: Measures were collected using archival shift records, workplace injury data, and cross-sectional surveys from a nationally representative sample of 14 EMS agencies employing paramedics, prehospital nurses, and other EMS clinicians. One thousand EMS clinicians were selected at random to complete a teamwork survey for each of their recent partnerships and tested the hypothesized role of teamwork as a mediator in the relationship between teammate familiarity and injury with the PROCESS macro., Results: We received 2566 completed surveys from 333 clinicians, of which 297 were retained. Mean participation was 40.5% (standard deviation [SD] = 20.5%) across EMS agencies. Survey respondents were primarily white (93.8%), male (67.3%), and ranged between 21-62 years of age (M = 37.4, SD = 9.7). Seventeen percent were prehospital nurses. Respondents worked a mean of 3 shifts with recent teammates in the 8 weeks preceding the survey (M = 3.06, SD = 4.4). We examined data at the team level, which suggest positive views of teamwork (M = 5.92, SD = 0.69). Our hypothesis that increased teammate familiarity protects against adverse safety outcomes through development of positive teamwork was not supported. Teamwork factor Partner Adaptability and Backup Behavior is a likely mediator (odds ratio = 1.03, P = .05). When dyad familiarity is high and there are high levels of backup behavior, the likelihood of injury is increased., Discussion: The relationship between teammate familiarity and outcomes is complex. Teammate adaptation and backup behavior is a likely mediator of this relationship in EMS teams with greater familiarity., (Copyright © 2017 Emergency Nurses Association. Published by Elsevier Inc. All rights reserved.)

Background: As a result of the recent proliferation of health care team training (HTT), there was a need to update previous systematic reviews examining the underlying structure driving team training initiatives., Methods: This investigation was guided by 10 research questions. A literature search identified 197 empirical samples detailing the evaluation of team training programs within the health care context; 1,764 measures of HTT effectiveness were identified within these samples. Trained coders extracted information related to study design and training development, implementation, and evaluation to calculate percentages detailing the prevalence of certain training features., Results: HTT was rarely informed by a training needs analysis (k = 47, 23.9%) and most commonly addressed communication strategies (k = 167, 84.8%). HTT programs that incorporated practice (k = 163, 82.7%) often employed high-fidelity patient simulators (k = 38, 25.2%) and provided participants with feedback opportunities (k = 107, 65.6%). Participants were typically practicing clinicians (k = 154, 78.2%) with a lower prevalence of health care students (k = 35, 17.8). Evaluations primarily relied on repeated measures designs (k = 123, 62.4%) and self-reported data (k = 1,257, 71.3%). Additional trends were identified and are discussed., Conclusions: Many trends in HTT practice and evaluation were identified. The results of this review suggested that, in the literature, HTT programs are more frequently following recommendations for training design and implementation (for example, providing feedback) in comparison to findings from previous reviews. However, there were still many areas in which improvement could be achieved to improve patient care., (Copyright © 2016 The Joint Commission. Published by Elsevier Inc. All rights reserved.)

As the nature of work becomes more complex, teams have become necessary to ensure effective functioning within organizations. The healthcare industry is no exception. As such, the prevalence of training interventions designed to optimize teamwork in this industry has increased substantially over the last 10 years (Weaver, Dy, & Rosen, 2014). Using Kirkpatrick's (1956, 1996) training evaluation framework, we conducted a meta-analytic examination of healthcare team training to quantify its effectiveness and understand the conditions under which it is most successful. Results demonstrate that healthcare team training improves each of Kirkpatrick's criteria (reactions, learning, transfer, results; d = .37 to .89). Second, findings indicate that healthcare team training is largely robust to trainee composition, training strategy, and characteristics of the work environment, with the only exception being the reduced effectiveness of team training programs that involve feedback. As a tertiary goal, we proposed and found empirical support for a sequential model of healthcare team training where team training affects results via learning, which leads to transfer, which increases results. We find support for this sequential model in the healthcare industry (i.e., the current meta-analysis) and in training across all industries (i.e., using meta-analytic estimates from Arthur, Bennett, Edens, & Bell, 2003), suggesting the sequential benefits of training are not unique to medical teams. Ultimately, this meta-analysis supports the expanded use of team training and points toward recommendations for optimizing its effectiveness within healthcare settings. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

Introduction: Obstetric complications and adverse patient events are often preventable. Teamwork and situational awareness (SA) can improve detection and coordination of critical obstetric (OB) emergencies, subsequently improving decision making and patient outcomes. The purpose of this study was to assess the effectiveness of a team training intervention in improving learning and transfer of teamwork, SA, decision making, and cognitive bias as well as patient outcomes in OB., Method: An adapted TeamSTEPPS training program was delivered to OB clinicians. Training targeted communication, mutual support, situation monitoring, leadership, SA, and cognitive bias. We conducted a repeated measures multilevel evaluation of the training using Kirkpatrick's (1994) framework of training evaluation to determine impact on trainee reactions, learning, transfer, and results. Data were collected using surveys, situational judgment tests (SJTs), observations, and patient chart reviews., Results: Participants perceived the training as useful. Additionally, participants acquired knowledge of communication strategies, though knowledge of other team competencies did not significantly improve nor did self-reported teamwork on the unit. Although SJT decision accuracy did not significantly improve for all scenarios, results of behavioral observation suggest that decision accuracy significantly improved on the job, and there was a marginally significant reduction in babies' hospital length of stay., Discussion: These findings indicate that the training intervention was partially effective, but more work needs to be done to determine the conditions under which training is most effective, and the ways in which to sustain improvements. Future research is needed to confirm its generalizability to additional OB units and departments., ((c) 2015 APA, all rights reserved).)

Background: Teamwork is a vital component of optimal patient care. In both clinical settings and medical education, a variety of approaches are used for the development of teamwork skills. Yet, for team members to receive the full educational benefit of these experiential learning opportunities, postsimulation feedback regarding the team's performance must be incorporated. Debriefings are among the most widely used form of feedback regarding team performance. A team debriefing is a facilitated or guided dialogue that takes place between team members following an action period to review and reflect on team performance. Team members discuss their perceptions of what occurred, why it occurred, and how they can enhance their performance. Simulation debriefing allows for greater control and planning than are logistically feasible for on-the-job performance. It is also unique in that facilitators of simulation-based training are generally individuals external to the team, whereas debriefing on the job is commonly led by an internal team member or conducted without a specified facilitator. Consequently, there is greater opportunity for selecting and training facilitators for team simulation events. Thirteen Best Practices: The 13 best practices, extracted from existing training and debriefing research, are organized under three general categories: (1) preparing for debriefing, (2) facilitator responsibilities during debriefing, and (3) considerations for debriefing content. For each best practice, considerations and practical implications are provided to facilitate the implementation of the recommended practices., Conclusion: The 13 best practices presented in this article should help health care organizations by guiding team simulation administrators, self-directed medical teams, and debriefing facilitators in the optimization of debriefing to support learning for all team members.

Delays in care have been cited as one of the primary contributors of preventable mortality; thus, quality patient safety is often contingent upon the delivery of timely clinical care. Rapid response systems (RRSs) have been touted as one mechanism to improve the ability of suitable staff to respond to deteriorating patients quickly and appropriately. Rapid response systems are defined as highly skilled individual(s) who mobilize quickly to provide medical care in response to clinical deterioration. While there is mounting evidence that RRSs are a valid strategy for managing obstetric emergencies, reducing adverse events, and improving patient safety, there remains limited insight into the practices underlying the development and execution of these systems. Therefore, the purpose of this article was to synthesize the literature and answer the primary questions necessary for successfully developing, implementing, and evaluating RRSs within inpatient settings-the Who, What, When, Where, Why, and How of RRSs.