An Assessment of America's Tobacco-Free Colleges and Universities

Abstract

Objective: This study examined the extent to which US campuses identified as “100% tobacco-free” by the American Lung Association of Oregon adhered to the American College Health Association's the most recent guidelines and recommendations promoting tobacco-free environments in colleges and universities. Participants: A key informant from 162 of 175 institutions (92.6% response rate) completed an online survey between January 2010 and February 2010. Methods: The variables under study were assessed via a cross-sectional research design. Participants completed a 35-item survey regarding their school's tobacco policies, procedures, and enforcement practices. Results: Although the vast majority of schools had written policies and procedures in place, schools with current policies were the most compliant. Numerous opportunities for improved adherence were identified in the results. Conclusions: Findings from this study may help institutions in the development and implementation of a new tobacco policy, as well as strengthen policies among existing tobacco-free schools.     

Rethinking Trade Preferences for Sub‐Saharan Africa: How Can Trade in Tasks Be the Potential Lifeline?

Policy‐related discussion on assisting countries to make use of trade preferences tends to focus on the provision of hard infrastructure to facilitate external economies from modern‐sector exports. This is as opposed to harnessing potential knowledge spillovers. This omission is emblematic of tensions within new trade/new growth theory. Using two country case studies in Asia – Bangladesh and Cambodia – this article shows how different approaches towards making use of trade preferences have resulted in divergent industrial structures and firm‐level technological capability indicators. Less stringent rules of origin requirements may offer new opportunities for late industrialisers in sub‐Saharan Africa to tap into the modern export sector, but a more interventionist approach towards harnessing knowledge spillovers may also be necessary.     

Implementation of a Mental Health Task Force in a collegiate-based emergency medical services organization

Abstract

Objective: A Mental Health Task Force (MHTF) was implemented in 2016 by a collegiate-based emergency medical services (CBEMS) organization to (1) improve mental health emergency response and to (2) address concerns for the mental health of CBEMS providers. Participants: Skidmore College EMS is a Basic Life Support First Response service staffed by volunteer undergraduate students. Methods: In coordination with faculty and staff, students in the MHTF developed trainings, peer support structures, community events, policies, and informational resources. Results: Sixteen students joined the MHTF within 1 year. Over 35 Skidmore College EMS members received training on mental health emergency response, peer-support, and self-care. Debriefing programs, mindfulness-based events, shift-length limitations, and access to informational resources promoted the mental health of Skidmore College EMS members. Conclusions: Implementing an MHTF is an innovative, student-led approach to coupling education on emergency response with programming that supports the mental health of CBEMS providers.     

Online scheduling with a buffer on related machines

Online scheduling with a buffer is a semi-online problem which is strongly related to the basic online scheduling problem. Jobs arrive one by one and are to be assigned to parallel machines. A buffer of a fixed capacity K is available for storing at most K input jobs. An arriving job must be either assigned to a machine immediately upon arrival, or it can be stored in the buffer for unlimited time. A stored job which is removed from the buffer (possibly, in order to allocate a space in the buffer for a new job) must be assigned immediately as well. We study the case of two uniformly related machines of speed ratio s≥1, with the goal of makespan minimization.     

Robust Confidence Regions for Incomplete Models

Call an economic model incomplete if it does not generate a probabilistic prediction even given knowledge of all parameter values. We propose a method of inference about unknown parameters for such models that is robust to heterogeneity and dependence of unknown form. The key is a Central Limit Theorem for belief functions; robust confidence regions are then constructed in a fashion paralleling the classical approach. Monte Carlo simulations support tractability of the method and demonstrate its enhanced robustness relative to existing methods.     

Outside of the corporate mainstream and excluded from the work community: A study of diversity,job satisfaction and well-being

Research over the past two decades indicates that exclusion from organizational information networks and from important decision-making processes is one of the most significant problems facing today's diverse workforce. Employees' sense of exclusion may play a critical role in explaining the connection between lack of opportunities experienced by employees who are different from the corporate 'main stream' and their job satisfaction and well-being. This study examines the relationship between diversity characteristics, sense of inclusion, fairness, stress and social support and the outcome variables of job satisfaction and well-being. A sample of 3400 employees of diverse racial and ethnic backgrounds in the high-tech industry in Southern California completed a self-report questionnaire. Findings support the hypotheses that women and members of racial/ethnic minorities are more likely to feel excluded, and that exclusion is linked to job dissatisfaction and lower sense of well-being. The study further explores the potential role of exclusion as a mediator variable. These findings have implications for future research on workforce diversity and for organizational diagnosis and interventions aimed at creating a more inclusive workplace culture. Investigácion durante los últimos veinte anos indica que exclusión de cadena información del organización y exclusión de decisións importantes es uno de los problemas mas significante en el diverso mundo de trabajo. El sentido de exclusión de los empleados puede estar criticó en la explicación del connexión entre la falta de opportunidades para los empleados que son differentes del corriente principal y su satisfacion con trabajo y su bienestar. Este investigación explora el relation entre característicos diversos, sentido de inclusión, justicia, esfuerzo, y assistencia social, y los variables resultados de satisfacion con trabajo y bienestar. Este prueba de 3400 empleados de ethnicidades y razas differentes de un industria tecnológico en el sur de California han completo un cuestionario de su mismo. Conclusiones dar soporte al hipótesis que es mas probable que mujeres y los minorías de raza y ethnicidad sientan exculido, y que exclusión tiene connexión con desagrado con el trabajo y mas pequeno sentido de bienestar. Este prueba averiguares el posición de exclusión como un variable mediador. Estos conclusions tienen implicaciónes para los investigaciónes en el futuro con diversidad en trabajadores y para diagnosis con los organizaciónes y intervenciónes que quieren crear una cultura mas inclusivo en el organización.     

How Good a Deal Was the Tobacco Settlement?: Assessing Payments to Massachusetts

We estimate the increment in Massachusetts Medicaid program costs attributable to smoking from December 20, 1991 to 1998. We describe how our methods improve upon earlier estimates of analogous costs at the national level. Current costs to the Massachusetts Medicaid program approximate the payments to Massachusetts under the tobacco settlement of November 1998. Whether these payments are viewed as appropriate compensation for Medicaid costs over time depends upon the rate of increase in future health care costs, the rate of decline in smoking, the proportion of smoking that should be attributed to the actions of the tobacco companies and the likelihood the state would have prevailed at trial. The costs to the Medicaid program are dwarfed by the internal costs to smokers themselves.     

Data Envelopment Analysis for Managerial Control and Diagnosis*

Data envelopment analysis (DEA) is a linear programming-based technique that converts multiple input and output measures into a single comprehensive measure of productive efficiency. This is accomplished via the construction of an empirically based production frontier and by the identification of peer groups. Each unit is evaluated by comparison against a composite unit that is constructed as a convex combination of other units in its peer group. DEA has now been applied in a variety of managerial contexts. In this paper we draw on theories of decision making, measurement and control, the mathematical properties of DEA, prior reported applications, and our own experience, to assess the potential of DEA as a general management tool. We first make the distinction between managerial diagnosis and control. We show how measurement requirements differ for these two managerial decision contexts, and argue that DEA has the potential to provide support in each context. Measurement and decision support criteria for each activity are then developed by reference to the literature on diagnosis and control. Based on its mathematical definition and properties, the relevant attributes of DEA are then derived. The technique is evaluated in each capacity by comparison to the appropriate set of criteria. This evaluation is supported with evidence from our experience with DEA in a large public-sector organization. We argue that the structural properties of DEA, critical managerial choices in its application, and situationally specific factors, interact to determine the strengths and limitations of DEA in each decision context. Implications for research and practice are discussed.     

Maximum coverage problem with group budget constraints

We study the maximum coverage problem with group budget constraints (MCG). The input consists of a ground set X, a collection \(\psi \) of subsets of X each of which is associated with a combinatorial structure such that for every set \(S_j\in \psi \), a cost \(c(S_j)\) can be calculated based on the combinatorial structure associated with \(S_j\), a partition \(G_1,G_2,\ldots ,G_l\) of \(\psi \), and budgets \(B_1,B_2,\ldots ,B_l\), and B. A solution to the problem consists of a subset H of \(\psi \) such that \(\sum _{S_j\in H} c(S_j) \le B\) and for each \(i \in {1,2,\ldots ,l}\), \(\sum _{S_j \in H\cap G_i}c(S_j)\le B_i\). The objective is to maximize \(|\bigcup _{S_j\in H}S_j|\). In our work we use a new and improved analysis of the greedy algorithm to prove that it is a \((\frac{\alpha }{3+2\alpha })\)-approximation algorithm, where \(\alpha \) is the approximation ratio of a given oracle which takes as an input a subset \(X^{new}\subseteq X\) and a group \(G_i\) and returns a set \(S_j\in G_i\) which approximates the optimal solution for \(\max _{D\in G_i}\frac{|D\cap X^{new}|}{c(D)}\). This analysis that is shown here to be tight for the greedy algorithm, improves by a factor larger than 2 the analysis of the best known approximation algorithm for MCG.