Frequent users of the emergency department in a universal health coverage system : a randomized controlled trial of a case-management intervention

BACKGROUND: Frequent emergency department users represent a small number of patients but account for a large number of emergency department visits. They should be a focus because they are often vulnerable patients with many risk factors affecting their quality of life (QoL). Case management interventions have resulted in a significant decrease in emergency department visits, but association with QoL has not been assessed. One aim of our study was to examine to what extent an interdisciplinary case management intervention, compared to standard emergency care, improved frequent emergency department users' QoL. METHODS: Data are part of a randomized, controlled trial designed to improve frequent emergency department users' QoL and use of health-care resources at the Lausanne University Hospital, Switzerland. In total, 250 frequent emergency department users (≥5 attendances during the previous 12 months; ≥ 18 years of age) were interviewed between May 2012 and July 2013. Following an assessment focused on social characteristics; social, mental, and somatic determinants of health; risk behaviors; health care use; and QoL, participants were randomly assigned to the control or the intervention group (n=125 in each group). The final sample included 194 participants (20 deaths, 36 dropouts, n=96 in the intervention group, n=99 in the control group). Participants in the intervention group received a case management intervention by an interdisciplinary, mobile team in addition to standard emergency care. The case management intervention involved four nurses and a physician who provided counseling and assistance concerning social determinants of health, substance-use disorders, and access to the health-care system. The participants' QoL was evaluated by a study nurse using the WHOQOL-BREF five times during the study (at baseline, and at 2, 5.5, 9, and 12 months). Four of the six WHOQOL dimensions of QoL were retained here: physical health, psychological health, social relationship, and environment, with scores ranging from 0 (low QoL) to 100 (high QoL). A linear, mixed-effects model with participants as a random effect was run to analyze the change in QoL over time. The effects of time, participants' group, and the interaction between time and group were tested. These effects were controlled for sociodemographic characteristics and health-related variables (i.e., age, gender, education, citizenship, marital status, type of financial resources, proficiency in French, somatic and mental health problems, and behaviors at risk).

Impact of case management on frequent users' quality of life : a randomized, controlled trial (FM 286)

Introduction: Frequent emergency department (ED) users are often vulnerable patients with many risk factors affecting their quality of life (QoL). The aim of this study was to examine to what extent a case management intervention improved frequent ED users' QoL. Methods: Data were part of a randomized, controlled trial designed to improve frequent ED users' QoL at the Lausanne University Hospital. A total of 194 frequent ED users (≥ 5 attendances during the previous 12 months; ≥ 18 years of age) were randomly assigned to the control or the intervention group. Participants in the intervention group received a case management intervention (i.e. counseling and assistance concerning social determinants of health, substance-use disorders, and access to the health-care system). QoL was evaluated using the WHOQOL-BREF at baseline and twelve months later. Four dimensions of QoL were retained: physical health, psychological health, social relationship, and environment, with scores ranging from 0 (low QoL) to 100 (high QoL).

Management Control for Corporate Sustainability Execution: The Role of Employee Compensation

The research described in this thesis examines the characteristics, the benefits and the challenges associated with the implementation of management accounting systems in the field of Corporate Social Responsibility (CSR). Applied to the CSR context, management accounting relates to the identification, elaboration and communication of information about an organization's interactions with the society and the environment. Based on this information, firms are able to make decisions to achieve social and environmental objectives and provide evidence justifying the benefits and the costs of such actions. The study begins by focusing on green management and exploring the characteristics of Environmental Management Accounting (EMA) systems within firms. The first chapter informs the reader about the growing body of EMA research and reveals unexplored relevant aspects that need to be further investigated. The work also emphasizes the importance of developing new theoretical hypotheses and appropriate research designs to empirically tackle new aspects of EMA and gain understanding on the use of these practices. Subsequently, given the acknowledged importance of control systems in influencing the behaviour of individuals within organizations, the remaining two chapters of the dissertation focus on the functioning of CSR-linked incentives assigned to employees in the form of compensation plans. The second chapter examines the determinants influencing corporate provision of incentives for the attainment of environmental targets. Empirical analysis of a sample of international firms reveals that companies are likely to use green incentives as mechanisms to increase the efficacy in contracting with their employees as well as to respond to social influences. Finally, the third chapter investigates the effectiveness of contracting associated with the use of CSR-linked executive compensation. Empirical analysis of a sample of US-based companies shows that corporate choice to tie senior executives' pay to CSR targets promotes the firm's CSR performance. Cette thèse examine les caractéristiques, avantages et défis associés à l'utilisation des systèmes de contrôle de gestion dans le domaine de la Responsabilité Sociale des Entreprises (RSE). Dans le contexte de la RSE, les activités du contrôle de gestion impliquent l'identification, l'élaboration et la communication d'informations qui concernent les interactions des organisations avec la société et l'environnement. Avec ces informations les entreprises sont en mesure de prendre des décisions visant à atteindre les objectifs sociaux et environnementaux de l'organisation et de documenter les bénéfices et coûts de ces actions. Dès le début, la thèse se concentre sur les caractéristiques des systèmes de contrôle de gestion environnementale au sein des entreprises. Le premier chapitre passe en revue la littérature existante et révèle des aspects inexplorés. Pour ce faire, le travail suggère le développement de nouvelles théories ainsi que l'utilisation de méthodes appropriées. Ces dernières doivent permettre d'aborder empiriquement de nouveaux aspects des systèmes de contrôle environnemental et faciliter la compréhension sur l'utilisation de ces pratiques. Considérant l'importance des systèmes de contrôle pour influencer le comportement des individus au sein des organisations, la suite du travail se concentre sur le fonctionnement des contrats de rémunération des employées liées aux résultats de la RSE. Plus particulièrement, le deuxième chapitre examine les facteurs qui influencent la décision des entreprises d'assigner des objectifs environnementaux aux employées. L'analyse empirique d'un échantillon d'entreprises internationales montre que les entreprises sont susceptibles d'utiliser des mécanismes incitatifs écologiques pour augmenter l'efficacité des contrats ainsi que pour répondre aux influences sociales. Finalement, le troisième chapitre analyse l'efficacité des contrats de rémunération des dirigeants liés aux résultats de la RSE. L'analyse empirique d'un échantillon de sociétés américaines indique que le choix de l'entreprise de lier la rémunération des dirigeants à des objectifs de la RSE favorise la performance RSE de l'organisation.

Geospatial approach for defining the Wildland-Urban Interface in the Alpine environment

Problems related to fire hazard and fire management have become in recent decades one of the most relevant issues in the Wildland-Urban Interface (WUI), that is the area where human infrastructures meet or intermingle with natural vegetation. In this paper we develop a robust geospatial method for defining and mapping the WUI in the Alpine environment, where most interactions between infrastructures and wildland vegetation concern the fire ignition through human activities, whereas no significant threats exist for infrastructures due to contact with burning vegetation. We used the three Alpine Swiss cantons of Ticino, Valais and Grisons as the study area. The features representing anthropogenic infrastructures (urban or infrastructural components of the WUI) as well as forest cover related features (wildland component of the WUI) were selected from the Swiss Topographic Landscape Model (TLM3D). Georeferenced forest fire occurrences derived from the WSL Swissfire database were used to define suitable WUI interface distances. The Random Forest algorithm was applied to estimate the importance of predictor variables to fire ignition occurrence. This revealed that buildings and drivable roads are the most relevant anthropogenic components with respect to fire ignition. We consequently defined the combination of drivable roads and easily accessible (i.e. 100 m from the next drivable road) buildings as the WUI-relevant infrastructural component. For the definition of the interface (buffer) distance between WUI infrastructural and wildland components, we computed the empirical cumulative distribution functions (ECDF) of the percentage of ignition points (observed and simulated) arising at increasing distances from the selected infrastructures. The ECDF facilitates the calculation of both the distance at which a given percentage of ignition points occurred and, in turn, the amount of forest area covered at a given distance. Finally, we developed a GIS ModelBuilder routine to map the WUI for the selected buffer distance. The approach was found to be reproducible, robust (based on statistical analyses for evaluating parameters) and flexible (buffer distances depending on the targeted final area covered) so that fire managers may use it to detect WUI according to their specific priorities.