Assessing medication adherence: options to consider.

Background Adherence to chronic therapy is a key determinant of patient health outcomes in chronic disease. However, only about 50 % of patients adhere to chronic therapy. One of the challenges in promoting adherence is having an accurate understanding of adherence rates and the factors that contribute to non-adherence. There are many measures available to assess patient medication adherence. Aim of the review This review aims to present the commonly used indirect methods available for measuring medication adherence in routine healthcare and research studies. Method A literature review on medication adherence measures in patient populations with chronic conditions taking chronic medications was conducted through Medline (2003-2013). A complementary manual search of references cited in the retrieved studies was performed in order to identify any additional studies. Results Of the 238 initial Medline search results, 57 full texts were retrieved. Forty-seven articles were included as a result of the manual search. Adherence measures identified were: self-report (reported in 50 publications), electronic measures (33), pharmacy refills and claims data (26) and pill counts (25). Patient self-report, electronic measures, pharmacy refill and claims data were the most commonly used measures of adherence in research, routine practice, epidemiological and intervention studies. These methods, and their strengths and limitations have been described in this paper. Conclusion A multitude of indirect measures of adherence exist in the literature, however, there is no "gold" standard for measuring adherence to medications. Triangulation of methods increases the validity and reliability of the adherence data collected. To strengthen the adherence data collected and allow for comparison of data, future research and practice interventions should use an internationally accepted, operational standardized definition of medication adherence and clearly describe the medication adherence methods used.

Multisensor change detection with nonlinear canonical correlation

The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of such datasets. However, for change detection existing methods are often unable to deal with heterogeneous image sources and very few consider possible nonlinearities in the data. Additionally, the availability of labeled information is very limited in change detection applications. For these reasons, we present the use of a semi-supervised kernel-based feature extraction technique. It incorporates a manifold regularization accounting for the geometric distribution and jointly addressing the small sample problem. An exhaustive example using Landsat 5 data illustrates the potential of the method for multi-sensor change detection.

Tele-education and competencies assessment to Brazilian's auxiliary nurse

This paper presents Brazilian's experience with the organization of methods and strategies for the assessment of competencies for technical level of nursing workers. The evaluative process proposed includes the creation of a learning-oriented and distance-based virtual assessment environment. The proposed methodology for professional competencies assessment adopted a critical-emancipatory perspective. A tele-education environment was deployed, involving software development - a virtual man - and an assessment cybertutor. Learning modules for the cybertutor were developed and videos of clinical simulations, structured around assessment in cognitive, behavioral, and simulation areas. The evaluation modules considered aspects of competencies in know-know, know-how and know-act professional ethics. Also the variability of practices of nursing - hospitals and primary health care units - was considered. This instrument showed as an important strategy for the optimization of assessment procedures that are widely used across Brazil and it is a powerful tool for incorporation into the continuing professional education.

Cell-derived microparticles in haemostasis and vascular medicine.

Considerable interest for cell-derived microparticles has emerged, pointing out their essential role in haemostatic response and their potential as disease markers, but also their implication in a wide range of physiological and pathological processes. They derive from different cell types including platelets - the main source of microparticles - but also from red blood cells, leukocytes and endothelial cells, and they circulate in blood. Despite difficulties encountered in analyzing them and disparities of results obtained with a wide range of methods, microparticle generation processes are now better understood. However, a generally admitted definition of microparticles is currently lacking. For all these reasons we decided to review the literature regarding microparticles in their widest definition, including ectosomes and exosomes, and to focus mainly on their role in haemostasis and vascular medicine.

Tools and techniques to study ligand-receptor interactions and receptor activation by TNF superfamily members.

Ligands and receptors of the TNF superfamily are therapeutically relevant targets in a wide range of human diseases. This chapter describes assays based on ELISA, immunoprecipitation, FACS, and reporter cell lines to monitor interactions of tagged receptors and ligands in both soluble and membrane-bound forms using unified detection techniques. A reporter cell assay that is sensitive to ligand oligomerization can identify ligands with high probability of being active on endogenous receptors. Several assays are also suitable to measure the activity of agonist or antagonist antibodies, or to detect interactions with proteoglycans. Finally, self-interaction of membrane-bound receptors can be evidenced using a FRET-based assay. This panel of methods provides a large degree of flexibility to address questions related to the specificity, activation, or inhibition of TNF-TNF receptor interactions in independent assay systems, but does not substitute for further tests in physiologically relevant conditions.

Probing the T-cell receptor repertoire with deep sequencing.

PURPOSE OF REVIEW: To review major findings on the T-cell receptor (TCR) repertoire diversity in response to several viral infections based on conventional methods of PCR, cloning and sequencing and to discuss their limitations in light of the recent methodological advances in deep sequencing.¦RECENT FINDINGS: Direct sequencing of TCR expressed by Ag-specific T cells isolated ex vivo has revealed that the TCR repertoire is not as restricted as previously estimated. Furthermore, analyses performed independently of the T-cell clonal hierarchy have brought to light an unexpected diversity. The choice of methods is critical to characterize the complexity of the repertoire. Recent advances in deep sequencing have uncovered the diversity of the TCR repertoire and shown that the size of the repertoire in naive and Ag-experienced memory T cells is three-fold to 15-fold larger than formerly estimated. Interestingly, the TCR complementary determining region 3 sequences are not randomly selected and a certain degree of shared TCR repertoire has been observed between different individuals.¦SUMMARY: Deep sequencing is a major methodological advance allowing more accurate molecular characterization of the TCR repertoire. In the near future, such technologies will further contribute to delineate the complexity of pathogen-specific T-cell response and help defining correlates of a protective immunity.

Power transformations in correspondence analysis

Power transformations of positive data tables, prior to applying the correspondence analysis algorithm, are shown to open up a family of methods with direct connections to the analysis of log-ratios. Two variations of this idea are illustrated. The first approach is simply to power the original data and perform a correspondence analysis this method is shown to converge to unweighted log-ratio analysis as the power parameter tends to zero. The second approach is to apply the power transformation to thecontingency ratios, that is the values in the table relative to expected values based on the marginals this method converges to weighted log-ratio analysis, or the spectral map. Two applications are described: first, a matrix of population genetic data which is inherently two-dimensional, and second, a larger cross-tabulation with higher dimensionality, from a linguistic analysis of several books.

Swiss consensus statement: Recommendations for optimising re-treatment with MabThera (rituximab) in rheumatoid arthritis.

Rituximab is an effective treatment of rheumatoid arthritis (RA), which has been approved for the treatment of moderate to severe disease in patients with an inadequate response to anti-TNF therapies. Rituximab differs from other available biological agents for RA by way of its unique mode of action and unrivalled long dosing interval. The efficacy of rituximab subsides progressively over time and re-therapy is generally required to maintain long term disease control. The timing of re-treatment is currently not well established and varies widely in clinical practice. The present document is a concise recommendation regarding re-treatment with rituximab, based on validated outcomes such as the DAS28 and the EULAR response criteria. The recommendation was established through consensus between practitioners familiar with rituximab therapy in RA. Optimisation of the rituximab re-treatment schedule may improve patient outcomes and balance risks and benefits for the individual patient.

Plant defense against herbivory: progress in identifying synergism, redundancy, and antagonism between resistance traits.

Plants respond to herbivore attack through a complex and variable system of defense, involving different physical barriers, toxic chemicals, and recruitment of natural enemies. To fully understand the relative role of each type of defense, their synergisms, redundancies, or antagonisms between traits, a variety of methods of enquiry, commonly used in plant physiology and ecology, have been employed. By overexpressing or silencing genes of interest, it is possible to understand the specific role of a particular defensive molecule or mode of action. We argue, however, that these types of experiments alone are not enough to holistically understand the physiological as well as ecological role of plant defenses. We thus advocate for the use of a combination of methods, including genetic modification, quantitative genetics, and phylogenetically controlled comparative studies.

l0-deconvolution for compressive diffusion MRI

Diffusion MRI is a well established imaging modality providing a powerful way to non-invasively probe the structure of the white matter. Despite the potential of the technique, the intrinsic long scan times of these sequences have hampered their use in clinical practice. For this reason, a wide variety of methods have been proposed to shorten acquisition times. [...] We here review a recent work where we propose to further exploit the versatility of compressed sensing and convex optimization with the aim to characterize the fiber orientation distribution sparsity more optimally. We re-formulate the spherical deconvolution problem as a constrained l0 minimization.

Unifying niche shift studies: insights from biological invasions.

Assessing whether the climatic niche of a species may change between different geographic areas or time periods has become increasingly important in the context of ongoing global change. However, approaches and findings have remained largely controversial so far, calling for a unification of methods. Here, we build on a review of empirical studies of invasion to formalize a unifying framework that decomposes niche change into unfilling, stability, and expansion situations, taking both a pooled range and range-specific perspective on the niche, while accounting for climatic availability and climatic analogy. This framework provides new insights into the nature of climate niche shifts and our ability to anticipate invasions, and may help in guiding the design of experiments for assessing causes of niche changes.

Toward a Cultural Health Psychology : taking researcher's and participants' activity into consideration

Several authors in critical health psychology have underlined the need to develop models of psychological life within qualitative research that are not limited to mere descriptions of health or illness. This communication presents methodological basis in order to overcome such descriptive level by proposing a socio-cultural approach. First, we analyze the dominant tendency in psychology consisting on defining the constructivist paradigm and qualitative research as impressionist, vague and subjective, that is, "non scientific". We claim that qualitative research may be objective, clear and precise while succeeding to consider psychological processes within their socio-cultural context. We make "indirect methods" a major focus, as able to capture psychological processes at stake in health and illness by interpreting their "traces". Moreover, we illustrate a variety of methods used in psychology to study the structuring role of culture in this process. We conclude by discussing the possibility to build complex psychological concepts regardless immediate experience.

Recent advances in remote sensing image processing

Remote sensing image processing is nowadays a mature research area. The techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics, and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, image coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This paper serves as a survey of methods and applications, and reviews the last methodological advances in remote sensing image processing.

Impacte d'un programa d'activitat física basat en el mètode Klapp i Stretching Global Actiu sobre la postura de persones adultes amb escoliosi idiopàtica

La simetria entre espatlles i l’alçada de les dues crestes ilíaques es perd quan es pateix escoliosi. Aquest empitjorament de la bona postura té conseqüències negatives per a la salut, especialment en el sistema musculoesquelètic. L’objecte principal d’aquest treball és avaluar l’impacte d’un programa d’activitat física basat en la combinació dels mètodes “Klapp” i l’“Stretching Global Actiu” sobre la postura en bipedestació de persones adultes que pateixen escoliosi idiopàtica. L’aplicació d’ambdós mètodes de forma individual no obtenen millores en aquests paràmetres en persones adultes, però en canvi en nens i nenes sí. El treball és un estudi experimental en el qual es va assignar un subjecte al grup intervenció i un subjecte al grup control. El subjecte del grup intervenció va realitzar un programa de 20 sessions de 45 – 60 minuts de treball amb aquests dos mètodes de treball físic. El subjecte del grup control va seguir la seva activitat habitual. Abans i després de la intervenció, es varen mesurar les variables dependents principals i secundaries respectivament. Els resultats obtinguts han revelat una petita millora en la simetria de les espatlles (+0,2 cms.) en el grup intervenció però no en la simetria de l’altura de les crestes ilíaques. El grup control no ha presentat canvis. Per tant, podem dir que és útil utilitzar la combinació dels dos mètodes físics per a millorar la postura en persones adultes que pateixen escoliosi idiopàtica.

Behavioural queueing : cellular automata and a laboratory experiment

Dans cette thèse, nous étudions les aspects comportementaux d'agents qui interagissent dans des systèmes de files d'attente à l'aide de modèles de simulation et de méthodologies expérimentales. Chaque période les clients doivent choisir un prestataire de servivce. L'objectif est d'analyser l'impact des décisions des clients et des prestataires sur la formation des files d'attente. Dans un premier cas nous considérons des clients ayant un certain degré d'aversion au risque. Sur la base de leur perception de l'attente moyenne et de la variabilité de cette attente, ils forment une estimation de la limite supérieure de l'attente chez chacun des prestataires. Chaque période, ils choisissent le prestataire pour lequel cette estimation est la plus basse. Nos résultats indiquent qu'il n'y a pas de relation monotone entre le degré d'aversion au risque et la performance globale. En effet, une population de clients ayant un degré d'aversion au risque intermédiaire encoure généralement une attente moyenne plus élevée qu'une population d'agents indifférents au risque ou très averses au risque. Ensuite, nous incorporons les décisions des prestataires en leur permettant d'ajuster leur capacité de service sur la base de leur perception de la fréquence moyenne d'arrivées. Les résultats montrent que le comportement des clients et les décisions des prestataires présentent une forte "dépendance au sentier". En outre, nous montrons que les décisions des prestataires font converger l'attente moyenne pondérée vers l'attente de référence du marché. Finalement, une expérience de laboratoire dans laquelle des sujets jouent le rôle de prestataire de service nous a permis de conclure que les délais d'installation et de démantèlement de capacité affectent de manière significative la performance et les décisions des sujets. En particulier, les décisions du prestataire, sont influencées par ses commandes en carnet, sa capacité de service actuellement disponible et les décisions d'ajustement de capacité qu'il a prises, mais pas encore implémentées. - Queuing is a fact of life that we witness daily. We all have had the experience of waiting in line for some reason and we also know that it is an annoying situation. As the adage says "time is money"; this is perhaps the best way of stating what queuing problems mean for customers. Human beings are not very tolerant, but they are even less so when having to wait in line for service. Banks, roads, post offices and restaurants are just some examples where people must wait for service. Studies of queuing phenomena have typically addressed the optimisation of performance measures (e.g. average waiting time, queue length and server utilisation rates) and the analysis of equilibrium solutions. The individual behaviour of the agents involved in queueing systems and their decision making process have received little attention. Although this work has been useful to improve the efficiency of many queueing systems, or to design new processes in social and physical systems, it has only provided us with a limited ability to explain the behaviour observed in many real queues. In this dissertation we differ from this traditional research by analysing how the agents involved in the system make decisions instead of focusing on optimising performance measures or analysing an equilibrium solution. This dissertation builds on and extends the framework proposed by van Ackere and Larsen (2004) and van Ackere et al. (2010). We focus on studying behavioural aspects in queueing systems and incorporate this still underdeveloped framework into the operations management field. In the first chapter of this thesis we provide a general introduction to the area, as well as an overview of the results. In Chapters 2 and 3, we use Cellular Automata (CA) to model service systems where captive interacting customers must decide each period which facility to join for service. They base this decision on their expectations of sojourn times. Each period, customers use new information (their most recent experience and that of their best performing neighbour) to form expectations of sojourn time at the different facilities. Customers update their expectations using an adaptive expectations process to combine their memory and their new information. We label "conservative" those customers who give more weight to their memory than to the xiv Summary new information. In contrast, when they give more weight to new information, we call them "reactive". In Chapter 2, we consider customers with different degree of risk-aversion who take into account uncertainty. They choose which facility to join based on an estimated upper-bound of the sojourn time which they compute using their perceptions of the average sojourn time and the level of uncertainty. We assume the same exogenous service capacity for all facilities, which remains constant throughout. We first analyse the collective behaviour generated by the customers' decisions. We show that the system achieves low weighted average sojourn times when the collective behaviour results in neighbourhoods of customers loyal to a facility and the customers are approximately equally split among all facilities. The lowest weighted average sojourn time is achieved when exactly the same number of customers patronises each facility, implying that they do not wish to switch facility. In this case, the system has achieved the Nash equilibrium. We show that there is a non-monotonic relationship between the degree of risk-aversion and system performance. Customers with an intermediate degree of riskaversion typically achieve higher sojourn times; in particular they rarely achieve the Nash equilibrium. Risk-neutral customers have the highest probability of achieving the Nash Equilibrium. Chapter 3 considers a service system similar to the previous one but with risk-neutral customers, and relaxes the assumption of exogenous service rates. In this sense, we model a queueing system with endogenous service rates by enabling managers to adjust the service capacity of the facilities. We assume that managers do so based on their perceptions of the arrival rates and use the same principle of adaptive expectations to model these perceptions. We consider service systems in which the managers' decisions take time to be implemented. Managers are characterised by a profile which is determined by the speed at which they update their perceptions, the speed at which they take decisions, and how coherent they are when accounting for their previous decisions still to be implemented when taking their next decision. We find that the managers' decisions exhibit a strong path-dependence: owing to the initial conditions of the model, the facilities of managers with identical profiles can evolve completely differently. In some cases the system becomes "locked-in" into a monopoly or duopoly situation. The competition between managers causes the weighted average sojourn time of the system to converge to the exogenous benchmark value which they use to estimate their desired capacity. Concerning the managers' profile, we found that the more conservative Summary xv a manager is regarding new information, the larger the market share his facility achieves. Additionally, the faster he takes decisions, the higher the probability that he achieves a monopoly position. In Chapter 4 we consider a one-server queueing system with non-captive customers. We carry out an experiment aimed at analysing the way human subjects, taking on the role of the manager, take decisions in a laboratory regarding the capacity of a service facility. We adapt the model proposed by van Ackere et al (2010). This model relaxes the assumption of a captive market and allows current customers to decide whether or not to use the facility. Additionally the facility also has potential customers who currently do not patronise it, but might consider doing so in the future. We identify three groups of subjects whose decisions cause similar behavioural patterns. These groups are labelled: gradual investors, lumpy investors, and random investor. Using an autocorrelation analysis of the subjects' decisions, we illustrate that these decisions are positively correlated to the decisions taken one period early. Subsequently we formulate a heuristic to model the decision rule considered by subjects in the laboratory. We found that this decision rule fits very well for those subjects who gradually adjust capacity, but it does not capture the behaviour of the subjects of the other two groups. In Chapter 5 we summarise the results and provide suggestions for further work. Our main contribution is the use of simulation and experimental methodologies to explain the collective behaviour generated by customers' and managers' decisions in queueing systems as well as the analysis of the individual behaviour of these agents. In this way, we differ from the typical literature related to queueing systems which focuses on optimising performance measures and the analysis of equilibrium solutions. Our work can be seen as a first step towards understanding the interaction between customer behaviour and the capacity adjustment process in queueing systems. This framework is still in its early stages and accordingly there is a large potential for further work that spans several research topics. Interesting extensions to this work include incorporating other characteristics of queueing systems which affect the customers' experience (e.g. balking, reneging and jockeying); providing customers and managers with additional information to take their decisions (e.g. service price, quality, customers' profile); analysing different decision rules and studying other characteristics which determine the profile of customers and managers.