Romanian social workers facing the challenges of neo-liberalism

ABSTRACT

With a history of almost 90 years, professional social work in Romania once flourished up until World War II. The Communist Party disbanded the profession in 1968 and it was reinstated after the fall of the Iron Curtain in 1989. Within the context of the socio-economic transition from a centralised to a free-market economy, Romanian social policy and social work have evolved from a Marxist/socialist-type ideology, one that advocates for state intervention, to a libertarian/neo-liberal-type ideology, which promotes both state withdrawal from welfare provision and individuals taking responsibility for their own welfare. These two trends continue to co-exist subject to sometimes divergent forces such as international institutions and internal Romanian social pressures. Using a qualitative approach, we explore how Romanian social workers are adapting to the neo-liberal realities and identify three types of perceived challenges: 1. those related to regulation, 2. linked with collaboration in social work activity and 3. those related to the social worker-client relationship. Under neo-liberal pressures, the social worker's role of agent of social change becomes marginalised in daily practice, leaving little power to influence agency policies that negatively impact clients.     

Strategic Choice of Variability in Multiround Contests and Contests with Handicaps

Variability can be an important strategic variable in a contest. We study optimal strategies involving choice of variability in contests with fixed and probabilistic targets, one-round and multiround contests, contests with and without handicaps, and situations where one contestant can modify variability as well as those in which all contestants have this opportunity. A contestant should maximize variability in a weak position (low mean, high handicap, or low previous performance) and minimize variability in a strong position. In some cases, only these extremes should be used. In other cases, intermediate levels of variability are optimal when the contestant's position is neither too weak nor too strong.     

The impact of testing errors on value of information: A quality-control example

In this article, we extend recent work on the inferential impact of errors in data to a decision-making setting. In the context of a simple quality-control example, we illustrate how errors can cause substantial reductions in the value of information from a sample and how uncertainty about error rates can lead to yet further reductions in EVSI. Moreover, we extend the notion of an equivalent error-free sample size (which indicates the reduction in effective sample size due to errors) from an inferential framework to a decision-making framework and find that as uncertainty about error-rate parameters increases, reductions in effective sample size are even greater for a decision maker than the inferential measures suggest.     

Anesthesia Patient Risk: A Quantitative Approach to Organizational Factors and Risk Management Options

The risk of death or brain damage to anesthesia patients is relatively low, particularly for healthy patients in modern hospitals. When an accident does occur, its cause is usually an error made by the anesthesiologist, either in triggering the accident sequence, or failing to take timely corrective measures. This paper presents a pilot study which explores the feasibility of extending probabilistic risk analysis (PRA) of anesthesia accidents to assess the effects of human and management components on the patient risk. We develop first a classic PRA model for the patient risk per operation. We then link the probabilities of the different accident types to their root causes using a probabilistic analysis of the performance shaping factors. These factors are described here as the "state of the anesthesiologist" characterized both in terms of alertness and competence. We then analyze the effects of different management factors that affect the state of the anesthesiologist and we compute the risk reduction benefits of several risk management policies. Our data sources include the published version of the Australian Incident Monitoring Study as well as expert opinions. We conclude that patient risk could be reduced substantially by closer supervision of residents, the use of anesthesia simulators both in training and for periodic recertification, and regular medical examinations for all anesthesiologists.