About: Achmea is a company organization based out in Zeist, Netherlands. It is known for research contribution in the topics: Population & Health care. The organization has 70 authors who have published 109 publications receiving 1848 citations. The organization is also known as: Achmea (Netherlands).
Papers published on a yearly basis
TL;DR: In a large and representative community cohort of Dutch patients with an ACS and/or intervention, CR was associated with a substantial survival benefit up to 4 years, present regardless of age, type of diagnosis, and type of intervention.
Abstract: Aims To assess the effects of multi-disciplinary cardiac rehabilitation (CR) on survival in the full population of patients with an acute coronary syndrome (ACS) and patients that underwent coronary revascularization and/or heart valve surgery. Methods and results Population-based cohort study in the Netherlands using insurance claims database covering ∼22% of the Dutch population (3.3 million persons). All patients with an ACS with or without ST elevation, and patients who underwent coronary revascularization and/or valve surgery in the period 2007–10 were included. Patients were categorized as having received CR when an insurance claim for CR was made within the first 180 days after the cardiac event or revascularization. The primary outcome was survival time from the inclusion date, limited to a total follow-up period of 4 years, with a minimum of 180 days. Propensity score weighting was used to control for confounding by indication. Among 35 919 patients with an ACS and/or coronary revascularization or valve surgery, 11 014 (30.7%) received CR. After propensity score weighting, the adjusted hazard ratio (HR) associated with receiving CR was 0.65 (95% CI 0.56–0.77). The largest benefit was observed for patients who underwent coronary artery bypass grafting (CABG) and/or valve surgery (HR = 0.55, 95% CI 0.42–0.74). Conclusion In a large and representative community cohort of Dutch patients with an ACS and/or intervention, CR was associated with a substantial survival benefit up to 4 years. This survival benefit was present regardless of age, type of diagnosis, and type of intervention.
••17 Dec 2001
TL;DR: The authors argue that norms and institutions are a way for agent societies to cope with the challenge of social order through institutions, conventions and interaction patterns for the co-ordination of agents can be specified, monitored and managed.
Abstract: Organisations can be defined as a set of entities regulated by mechanisms of social order and created by more or less autonomous actors to achieve common goals Multi-agent systems are a natural choice to design organisational systems due to the proactive and autonomous behaviour of agents However, in business environments it is necessary to consider the behaviour of the global system and the collective aspects of the domain In this paper, we argue that multi-agent systems should be designed around organisational co-ordination frameworks that reflect the coordination structures of the particular organisation As in human societies, we argue that norms and institutions are a way for agent societies to cope with the challenge of social order Through institutions, conventions and interaction patterns for the co-ordination of agents can be specified, monitored and managed
TL;DR: LC is introduced, a very expressive logic for describing interaction in multi-agent systems and makes it possible to check whether agents in an agent society follow some desired interaction patterns and whether desired social states are preserved by agent activity.
Abstract: The Agent Society framework that we have developed distinguishes between the mechanisms though which the structure and global behavior of the model is described and coordinated, and the aims and behavior of the service-providers (agents) that populate the model. In this framework contracts are used to integrate the top-down specification of organizational structures with the autonomy of participating agents. In this paper we introduce LCR, a very expressive logic for describing interaction in multi-agent systems. We also show how LCR behaves in contrary-to-duty situations common to deontic logic frameworks. LCR makes it possible to check whether agents in an agent society follow some desired interaction patterns and whether desired social states are preserved by agent activity. LCR is used as a formal basis for the framework for agents societies that we are developing.
TL;DR: In this paper, the authors developed a prediction score to identify patients at risk for inadequate bowel preparation who may benefit from an intensified bowel cleansing regimen using multivariate logistic regression analyses.
TL;DR: The review showed that the presence of medical-psychiatric comorbidity was related to increased LOS, higher medical costs and more rehospitalizations, and this was also shown for specific subgroups.
Abstract: Background Hospital inpatients often experience medical and psychiatric problems simultaneously. Although this implies a certain relationship between healthcare utilization and costs, this relationship has never been systematically reviewed. Objective The objective is to examine the extent to which medical-psychiatric comorbidities relate to health-economic outcomes in general and in different subgroups. If the relationship is significant, this would give additional reasons to facilitate the search for targeted and effective treatments for this complex population. Method A systematic review in Embase, Medline, Psycinfo, Cochrane, Web of Science and Google Scholar was performed up to August 2016 and included cross-references from included studies. Only peer-reviewed empirical studies examining the impact of inpatient medical-psychiatric comorbidities on three health-economic outcomes (length of stay (LOS), medical costs and rehospitalizations) were included. Study design was not an exclusion criterion, there were no restrictions on publication dates and patients included had to be over 18 years. The examined populations consisted of inpatients with medical-psychiatric comorbidities and controls. The controls were inpatients without a comorbid medical or psychiatric disorder. Non-English studies were excluded. Results From electronic literature databases, 3165 extracted articles were scrutinized on the basis of title and abstract. This resulted in a full-text review of 86 articles: 52 unique studies were included. The review showed that the presence of medical-psychiatric comorbidity was related to increased LOS, higher medical costs and more rehospitalizations. The meta-analysis revealed that patients with comorbid depression had an increased mean LOS of 4.38 days compared to patients without comorbidity (95% CI: 3.07 to 5.68, I2 = 31%). Conclusions Medical-psychiatric comorbidity is related to increased LOS, medical costs and rehospitalization; this is also shown for specific subgroups. This study had some limitations; namely, that the studies were very heterogenetic and, in some cases, of poor quality in terms of risk of bias. Nevertheless, the findings remain valid and justify the search for targeted and effective interventions for this complex population.
Showing all 75 results
|Frans Willem Winkel
|Hugo M. Smeets
|Han de Vries
|Jacques van Limbeek
|Onno van der Galiën
|Jacob H. Wiebenga
|A. Gijsbert C. van Lomwel
|Paul van der Laken
|A.G.C. van Lomwel
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