Tara A. Rench

Promoting participation in physical activity using framed messages: an application of prospect theory.

OBJECTIVES Messages designed to motivate participation in physical activity usually emphasize the benefits of physical activity (gain-framed) as well as the costs of inactivity (loss-framed). The framing implications of prospect theory suggest that the effectiveness of these messages could be enhanced by providing gain-framed information only. We compared the effectiveness of gain-, loss-, and mixed-framed messages for promoting moderate to vigorous physical activity. DESIGN Randomized trial. METHOD Sedentary, healthy callers to the US National Cancer Institutes Cancer Information Service (N=322) received gain-, loss-, or mixed-framed messages on three occasions (baseline, Week 1, and Week 5). Social cognitive variables and self-reported physical activity were assessed at baseline, Week 2, and Week 9. Separate regression analyses were conducted to examine message effects at each assessment point. RESULTS At Week 2, gain- and mixed-framed messages resulted in stronger intentions and greater self-efficacy than loss-framed messages. At Week 9, gain-framed messages resulted in greater physical activity participation than loss- or mixed-framed messages. Social cognitive variables at Week 2 did not mediate the Week 9 framing effects on physical activity participation. CONCLUSIONS Using gain-framed messages exclusively may be a means of increasing the efficacy of physical activity materials.

Performance Adaptation: A Theoretical Integration and Review

Stability and routine are two words that can rarely be used to describe the present-day workplace. Instead, individuals, teams, and organizations are required to respond to dynamic and changing situations. As a result, researchers have become increasingly interested in understanding performance adaptation, evident in the substantial growth in research over the past two decades. However, what researchers mean when they study adaptation is often broad, vague, and inconsistent—especially at the organizational level—such that drawing solid conclusions is challenging. To move toward integration, we focused the review on individual and team performance adaptation, where the mechanisms of adaptation can be observed. We developed a conceptual taxonomy to map extant research, provide insights for synthesis, and identify directions for future theory building and research. Specifically, we identify four theoretical approaches: (a) a performance construct, (b) an individual difference construct, (c) a change in performance, and (d) a process. Each perspective is reviewed, identifying definitions and key assumptions; discussing conceptual foundations and empirical findings; and highlighting discrepancies, similarities, and opportunities for synthesis. The discussion recommends useful lines of inquiry for future research. Moreover, to promote individual-, team-, and organizational-level integration, we propose a multilevel conceptual architecture specifying the what (nature), where (levels), and how (mechanisms) of adaptation to better define the nature of the phenomenon. In combination, the taxonomy, review content, and conceptual architecture are designed to enhance conceptual clarity and consistency, encourage integration, and advance theory and research on adaptation as a pervasive phenomenon in organizational science.

A Test of the Circumvention-of-Limits Hypothesis in Scientific Problem Solving: The Case of Geological Bedrock Mapping

Sources of individual differences in scientific problem solving were investigated. Participants representing a wide range of experience in geology completed tests of visuospatial ability and geological knowledge, and performed a geological bedrock mapping task, in which they attempted to infer the geological structure of an area in the Tobacco Root Mountains of Montana. A Visuospatial Ability × Geological Knowledge interaction was found, such that visuospatial ability positively predicted mapping performance at low, but not high, levels of geological knowledge. This finding suggests that high levels of domain knowledge may sometimes enable circumvention of performance limitations associated with cognitive abilities.

Examining predictors of physical activity among inactive middle-aged women: an application of the health action process approach.

This study tested several relationships predicted by the Health Action Process Approach (HAPA) in a sample of 175 generally healthy, inactive, middle-aged women (40–65 yrs old) over a 12 week period. Participants’ physical activity, risk perceptions, outcome expectancies, action self-efficacy and intention were measured at baseline. Planning and maintenance self-efficacy were measured 4 weeks later. Physical activity behaviour was measured 12 weeks after baseline. The HAPA relationships were examined using a structural equation model. The data fit the model well and revealed several significant relationships. Action self-efficacy was the best predictor of intention. Maintenance self-efficacy was the best predictor of planning and behaviour. Contrary to the tenets of HAPA and to past research, planning did not predict behaviour. Overall, HAPA provides a useful framework for identifying determinants of physical activity intentions and behaviour within a group of inactive, middle-aged women.

Going DEEP: guidelines for building simulation-based team assessments

Background Whether for team training, research or evaluation, making effective use of simulation-based technologies requires robust, reliable and accurate assessment tools. Extant literature on simulation-based assessment practices has primarily focused on scenario and instructional design; however, relatively little direct guidance has been provided regarding the challenging decisions and fundamental principles related to assessment development and implementation. Objective The objective of this manuscript is to introduce a generalisable assessment framework supplemented by specific guidance on how to construct and ensure valid and reliable simulation-based team assessment tools. The recommendations reflect best practices in assessment and are designed to empower healthcare educators, professionals and researchers with the knowledge to design and employ valid and reliable simulation-based team assessments. Overview Information and actionable recommendations associated with creating assessments of team processes (non-technical ‘teamwork’ activities) and performance (demonstration of technical proficiency) are presented which provide direct guidance on how to Distinguish the underlying competencies one aims to assess, Elaborate the measures used to capture team member behaviours during simulation activities, Establish the content validity of these measures and Proceduralise the measurement tools in a way that is systematically aligned with the goals of the simulation activity while maintaining methodological rigour (DEEP). Summary The DEEP framework targets fundamental principles and critical activities that are important for effective assessment, and should benefit healthcare educators, professionals and researchers seeking to design or enhance any simulation-based assessment effort.

Evaluation of a computer-based educational intervention to improve medical teamwork and performance during simulated patient resuscitations

Objectives:To determine the impact of a low-resource-demand, easily disseminated computer-based teamwork process training intervention on teamwork behaviors and patient care performance in code teams. Design:A randomized comparison trial of computer-based teamwork training versus placebo training was conducted from August 2010 through March 2011. Setting:This study was conducted at the simulation suite within the Kado Family Clinical Skills Center, Wayne State University School of Medicine. Participants:Participants (n = 231) were fourth-year medical students and first-, second-, and third-year emergency medicine residents at Wayne State University. Each participant was assigned to a team of four to six members (nteams = 45). Interventions:Teams were randomly assigned to receive either a 25-minute computer-based training module targeting appropriate resuscitation teamwork behaviors or a placebo training module. Measurements:Teamwork behaviors and patient care behaviors were video recorded during high-fidelity simulated patient resuscitations and coded by trained raters blinded to condition assignment and study hypotheses. Teamwork behavior items (e.g., “chest radiograph findings communicated to team” and “team member assists with intubation preparation”) were standardized before combining to create overall teamwork scores. Similarly, patient care items (“chest radiograph correctly interpreted”; “time to start of compressions”) were standardized before combining to create overall patient care scores. Subject matter expert reviews and pilot testing of scenario content, teamwork items, and patient care items provided evidence of content validity. Main Results:When controlling for team members’ medically relevant experience, teams in the training condition demonstrated better teamwork (F [1, 42] = 4.81, p < 0.05; &eegr;2p = 10%) and patient care (F [1, 42] = 4.66, p < 0.05; &eegr;2p = 10%) than did teams in the placebo condition. Conclusions:Computer-based team training positively impacts teamwork and patient care during simulated patient resuscitations. This low-resource team training intervention may help to address the dissemination and sustainability issues associated with larger, more costly team training programs.

The Relationship Between the ASVAB and Multitasking in Navy Sailors: A Process-Specific Approach

This study investigated the relationship between ASVAB scores and multitasking performance in Navy Sailors. Sailors performed a “synthetic work” task designed to simulate demands for multitasking common to many different jobs, as well as elementary cognitive tasks designed to measure two mental processes—the ability to update the contents of working memory (memory updating) and the ability to switch flexibly between tasks (task switching). Structural equation modeling revealed that a general factor of ASVAB subtest scores positively predicted multitasking. Furthermore, memory updating partially accounted for this relationship and added incrementally to the prediction of multitasking, above and beyond the ASVAB.