Quality improvement in patient distribution at a major university student health center

Healthcare in a major university setting poses unusual challenges and great opportunities. Two traditionally challenging areas in patient distribution are the initial intake of allergy/immunization patients and the triage of outpatients in the general medical clinic. The authors describe the use of the FOCUS-PDCA quality improvement (QI) problem-solving process for each situation. After identifying major problems, the health center established cross-functional teams of experts representing the allergy/immunization and general medical clinics. The teams analyzed the problems with a flow chart and undertook studies to further elucidate causes and potential solutions. They listed potential solutions in order of priority and submitted them to the student health center director for review and initiation. Each team then used the PDCA (plan-do-check-act) cycle to put approved solutions into effect. Permanent improvements made in each area resulted in a more effective and efficient patient distribution system, favorable staff comment, and greater patient satisfaction.     

"I Am the Man!" Performing gender and other incongruities

The following essay details the genesis of the performance "I Am the Man" for the First International Drag King Extravaganza. In it the authors explain both their autobiographical performances and the relationship between their drag performances and transgender theory by linking Shakespeare to queer theory and by overlapping their personal narratives.     

Social support as a mediator of revictimization of low-income African American women

Mediating effects of social support on the link between childhood maltreatment and adult intimate partner violence (IPV) were explored in a sample of 362 low-income, African American women. We examined relations between childhood maltreatment experiences (total maltreatment, sexual abuse, physical abuse, emotional abuse, emotional neglect, and physical neglect) and adult maltreatment (physical IPV and nonphysical IPV). Results of hierarchical multiple regression analyses revealed small, but significant, effects. Further, social support mediated revictimization. Social support fully mediated relations in which the form of childhood maltreatment was different than the form of adult IPV (e.g., the relation between childhood sexual abuse and adult nonphysical IPV), but only partially mediated the relations in which the form of childhood maltreatment was similar to adult IPV (e.g., the relation between childhood emotional abuse and adult nonphysical IPV). Implications for clinical interventions for women with intimate partner violence experiences are discussed.     

Why Study Risk Perception?

Studies of risk perception examine the opinions people express when they are asked, in various ways, to characterize and evaluate hazardous activities and technologies. This research aims to aid risk analysis and societal decision making by (i) improving methods for eliciting opinions about risk, (ii) providing a basis for understanding and anticipating public responses to hazards, and (iii) improving the communication of risk information among laypeople, technical experts, and policy makers.     

The Savvy Caregiver Program: Impact of an Evidence-Based Intervention on the Well-Being of Ethnically Diverse Caregivers

This article reports on the impact of the Savvy Caregiver Program (SCP) on English-speaking caregivers of Hispanic, Black/African American, and Asian/Pacific Islander descent. Caregivers completed a questionnaire prior to study enrollment, at 6 and 12 months postenrollment. Caregivers in all 3 ethnic groups showed more caregiver competence, reduced depression, greater tolerance for care recipients’ memory problems, better management of their overall situation, and improved perception of that situation 6 months and 12 months post-enrollment. The study demonstrates that in the sample studied the SCP was as effective in helping ethnically diverse caregivers as it has shown to be with Caucasian caregivers.     

Power and perceptions in participatory monitoring and evaluation

This paper examines the assumptions that commonly underpin the design of participatory monitoring and evaluation (PM&E) within development programmes through the examination of a case study of a large rural development programme in Uganda. This case study reveals a mismatch between programme assumptions and participant perceptions, which stymied the implementation of PM&E. In this case, PM&E was based on the assumptions that programme and participant goals were compatible, participants were willing to volunteer and engage themselves for the greater good of their communities, and information sharing and communication was fairly free and open. However, farmers within the programme felt that the bureaucratic and accountability requirements of the programme were not their concern, and were acutely aware of power differences between farmers and programme officials, and between farmers of varying status. The key lesson to be drawn from this case is the need for a heightened awareness of power dynamics and political factors in the design of PM&E.     

A Multidisciplinary Cognitive Behavioural Framework of Impulse Buying: A Systematic Review of the Literature

Impulse buying (IB) is one of the most fragmented concepts in the marketing and consumer literature. This has resulted in some contradictory findings and a lack of an overarching theoretical framework for understanding the IB process and its outcomes. Based on a systematic review of the literature published over the past 60 years, the authors synthesize various research perspectives into a comprehensive multidisciplinary framework of IB – linking antecedents, triggers, the buying act and post‐purchase outcomes. The paper makes four specific contributions relevant to both academic researchers and practitioners. First, it provides a comprehensive understanding of IB as a process and outcome, by systematically reviewing the existing literature. Second, it specifically recognizes and discusses the triggers of IB, by drawing on literature related to the buying process, intentions and motivations. Third, this is the first meta‐analysis review in the area. Finally, it considers the potential consequences of IB that lead to subsequent IB, and provides a framework for future investigation. This paper also addresses a problem of relevance to both academics and practitioners, proposing further research and managerial implications.     

Topological Performance Measures as Surrogates for Physical Flow Models for Risk and Vulnerability Analysis for Electric Power Systems

Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of society. To improve the performance of such systems, we often use risk and vulnerability analysis to find and address system weaknesses. A critical component of such analyses is the ability to accurately determine the negative consequences of various types of failures in the system. Numerous mathematical and simulation models exist that can be used to this end. However, there are relatively few studies comparing the implications of using different modeling approaches in the context of comprehensive risk analysis of critical infrastructures. In this article, we suggest a classification of these models, which span from simple topologically‐oriented models to advanced physical‐flow‐based models. Here, we focus on electric power systems and present a study aimed at understanding the tradeoffs between simplicity and fidelity in models used in the context of risk analysis. Specifically, the purpose of this article is to compare performance estimates achieved with a spectrum of approaches typically used for risk and vulnerability analysis of electric power systems and evaluate if more simplified topological measures can be combined using statistical methods to be used as a surrogate for physical flow models. The results of our work provide guidance as to appropriate models or combinations of models to use when analyzing large‐scale critical infrastructure systems, where simulation times quickly become insurmountable when using more advanced models, severely limiting the extent of analyses that can be performed.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.