Assessing productive efficiency and operating scale of community blood centers.

BACKGROUND: In recent years demand for blood products has decreased, and as a result, the blood product marketplace has become much more competitive. Reducing inefficiency in the procurement and processing of blood products at blood centers can reduce costs while assuring that demand for blood products is met. STUDY DESIGN AND METHODS: This study uses data envelopment analysis to compare the productive efficiency of 65 community blood centers to determine to what extent efficiency can be improved, what cost savings and increases in platelet (PLT) production may be obtained by eliminating inefficiency, and what scales of operation are the most efficient from a budgetary and staffing standpoint. Data were collected from the 2012 to 2013 AABB Directory of Community Blood Centers and Hospital Blood Banks. RESULTS: The study found that 27 of 65 blood centers are efficient. The remaining 38 blood centers can reduce budget and staff levels and may be able to expand output. If inefficient centers were to eliminate all inefficiency, the total savings would be $671 million, approximately 20% of the aggregated budget ($3.45 billion) of all centers in the study. In addition, the centers would also see a 36% increase in PLT production. Inefficiency of some large blood centers stems from operating at too large a scale, while inefficiency of most small blood centers is scale independent. CONCLUSION: The results suggest that reducing inefficiency in blood procurement may be a good strategy to maximize competitiveness in the blood product marketplace. These findings further suggest that the trend of blood center consolidation may be ill advised from a cost containment perspective.

The Normative Underpinnings of Population-Level Alcohol Use: An Individual-Level Simulation Model.

Background. By defining what is "normal," appropriate, expected, and unacceptable, social norms shape human behavior. However, the individual-level mechanisms through which social norms impact population-level trends in health-relevant behaviors are not well understood. Aims. To test the ability of social norms mechanisms to predict changes in population-level drinking patterns. Method. An individual-level model was developed to simulate dynamic normative mechanisms and behavioral rules underlying drinking behavior over time. The model encompassed descriptive and injunctive drinking norms and their impact on frequency and quantity of alcohol use. A microsynthesis initialized in 1979 was used as a demographically representative synthetic U.S. population. Three experiments were performed in order to test the modelled normative mechanisms. Results. Overall, the experiments showed limited influence of normative interventions on population-level alcohol use. An increase in the desire to drink led to the most meaningful changes in the population's drinking behavior. The findings of the experiments underline the importance of autonomy, that is, the degree to which an individual is susceptible to normative influence. Conclusion. The model was able to predict theoretically plausible changes in drinking patterns at the population level through the impact of social mechanisms. Future applications of the model could be used to plan norms interventions pertaining to alcohol use as well as other health behaviors.

Key Data Gaps Regarding the Public Health Issues Associated with Opioid Analgesics.

Most pharmaceutical opioids are used to treat pain, and they have been demonstrated to be effective medications for many. Their abuse and misuse pose significant public health concerns in the USA. Research has provided much insight into the prevalence, scope, and drivers of opioid abuse, but a holistic understanding is limited by a lack of available data regarding key aspects of this public health problem. Twelve data gaps were revealed during the creation of a systems-level computer model of medical use, diversion, nonmedical use, and the adverse outcomes associated with opioid analgesics in the USA. Data specific to these gaps would enhance the validity and real-world applications of systems-level models of this public health problem and would increase understanding of the complex system in which use and abuse occur. This paper provides an overview of these gaps, argues for the importance of closing them, and provides specific recommendations for future data collection efforts.