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Medication errors are an important patient safety issue. Electronic medication reconciliation is a system designed to correct medication discrepancies at transitions in healthcare. The purpose of this paper is to measure types and prevalence of intravenous antibiotic errors at hospital discharge before and after the addition of an electronic discharge medication reconciliation tool (EDMRT).

A retrospective study was conducted at a tertiary hospital where house officers order discharge medications. In total, 100 pre-EDMRT and 100 post-EDMRT subjects were randomly recruited from the study center’s clinical Outpatient Parenteral Antimicrobial Therapy (OPAT) program. Using infectious disease consultant recommendations as gold standard, each antibiotic listed in these consultant notes was compared to the hospital discharge orders to ascertain the primary outcome: presence of an intravenous antibiotic error in the discharge orders. The primary covariate of interest was pre- vs post-EDMRT group. After generating the crude prevalence of antibiotic errors, logistic regression accounted for potential confounding: discharge day (weekend vs weekday), average years of practice by prescribing physician, inpatient service (medicine vs surgery) and number of discharge mediations per patient.

Prevalence of medication errors decreased from 30 percent (30/100) among pre-EDMRT subjects to 15 percent (15/100) errors among post-EDMRT subjects. Dosage errors were the most common type of medication error. The adjusted odds ratio of discharge with intravenous antibiotic error in the post-EDMRT era was 0.39 (0.18, 0.87) compared to the pre-EDMRT era. In the adjusted model, the total number of discharge medications was associated with increased OR of discharge error.

To the authors’ knowledge, no other study has examined the impact of reconciliation on types and prevalence of medication errors at hospital discharge. The focus on intravenous antibiotics as a class of high-stakes medications with serious risks to patient safety during error events highlights the clinical importance of the findings. Electronic medication reconciliation may be an important tool in efforts to improve patient safety.

Drawing on sociolinguistics, this chapter proposes an encoding–decoding perspective on evaluation, conceptualizing codes as interpretive schemas that are encoded by firms and decoded by audiences. A key element in this process is code complexity, denoting combinations of interdependent elements. We demonstrate that the evaluation of code complexity depends on the type of audience (professionals and laypersons) and the type of complexity (technological and aesthetic). We analyze the attribution of awards by professionals and the public in luxury watchmaking, featuring three mechanisms: the social embeddedness of audiences, their motivation for evaluation and supply-and-demand matching. The results attest to significant differences in the evaluation of technological and aesthetic code complexity by professionals and laypersons. There is a premium attributed to aesthetic code complexity by professionals and a premium attributed to technological complexity by laypersons. Finding the right type and level of code complexity to pursue in their offerings is a key strategic challenge for producers.

The conception of markets as interfaces connecting semi-autonomous systems of producers and customers has led to an extensive use of social network analysis. So far, the network focus has been on connections among people, paying less attention to the crucial role played by connections between cultural elements (e.g., concepts, representations, ideas) in the way markets are formed and sustained. Such connections constitute “semantic networks” and are the focus of the present article. We attend to them by developing a network view of the cultural dimension of markets and apply it in an empirical setting where culture plays a crucial role – luxury watchmaking – to illustrate the impact of market semantic networks on a major outcome: price.

The crisis of globalisation and the rise of the COVID-19 pandemic pose new threats to the national security of all countries. States have been increasingly challenged on their role, particularly in the economic order. Their actions concerning pandemic, ecology, climate or air pollution have been strongly inspired by the decisions of specialised international organisations, too often advised by dominant commercial and financial interests. In this context, states have no longer been able to assume the full range of national security components. Mercantilists considered that dependence on a State’s foreign trade led to an unacceptable reduction to the power of the Prince. Today, all countries are dependent on others, and then economic wars are becoming more and more likely. Armed warfare between states remains a potential response to these possible disruptions of essential intermediate consumption or to the search for power. Moreover, the lack of solidarity perceived during the pandemic testifies to the maintenance of political and economic power relations between States and the priority given to national interests to the detriment of international public goods. The pandemic highlights the inability of states to find common solutions to today’s global problems, thus developing a strong sense of insecurity among citizens.

The purpose of this paper is to estimate the changes of dental caries status among Thai adults and elderly under the different policy options using system dynamics modeling.

A multi-sector system dynamics model was developed to capture the dynamic interrelationship between dental caries status changes and oral health behavior – including self-care, dental care utilization and sugar consumption. Data used to populate the model was obtained from the Thai national oral health survey in 2000, 2006, 2012 and Thailand Official Statistics Registration. Three policy scenarios were experimented in the model: health promotion policy, dental personnel policy and affordable dental care service policy.

Dental caries experiences among Thai adults and elderly were projected to increase from now to 2040, as the elderly population increases. Among all policies experimented herein, the combined policies of health promotion, increased affordability and capacity of dental health service were found to produce the highest improvement in dental caries status with 3.7 percent reduction of population with high decayed, missing and filled teeth (DMFT) and 5.2 percent increase in population with very low DMFT.

This study is the first comprehensive simulation model that attempts to explore the dynamic interrelationship among dental caries experiences and behavioral factors that impact on oral health outcomes. In addition, the simulation model herein offers a framework for policy experimentation that provides policymakers with additional insights to inform health policy planning.