A variety of recent theoretical and empirical advances have renewed interest in monopsonistic models of the labor market. However, there is little direct empirical support for these models, even in labor markets that are textbook examples of monopsony. We use an exogenous change in wages at Veterans Affairs hospitals as a natural experiment to investigate the extent of monopsony in the nurse labor market. In contrast to much of the prior literature, we estimate that labor supply to individual hospitals is quite inelastic, with short-run elasticity around 0.1. We also find that non-VA hospitals responded to the VA wage change by changing their own wages.

This paper develops a mathematical/economic framework to address the following question: Given a particular population, a specific HIV prevention program and a fixed amount of funds that could be invested in the program, how much money should be invested?

Background: Decisions on the timing and extent of vaccination against pandemic (H1N1) 2009 virus are complex.

Objective: To estimate the effectiveness and cost-effectiveness of pandemic influenza (H1N1) vaccination under different scenarios in October or November 2009.

Design: Compartmental epidemic model in conjunction with a Markov model of disease progression.

Data Sources: Literature and expert opinion.

Target Population: Residents of a major U.S. metropolitan city with a population of 8.3 million.

Time Horizon: Lifetime.

Perspective: Societal.

Interventions: Vaccination in mid-October or mid-November 2009.

Outcome Measures: Infections and deaths averted, costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness.

Results of Base-Case Analysis: Assuming each primary infection causes 1.5 secondary infections, vaccinating 40% of the population in October or November would be cost-saving. Vaccination in October would avert 2051 deaths, gain 69 679 QALYs, and save $469 million compared with no vaccination; vaccination in November would avert 1468 deaths, gain 49 422 QALYs, and save $302 million.

Results of Sensitivity Analysis: Vaccination is even more cost-saving if longer incubation periods, lower rates of infectiousness, or increased implementation of nonpharmaceutical interventions delay time to the peak of the pandemic. Vaccination saves fewer lives and is less cost-effective if the epidemic peaks earlier than mid-October.

Limitations: The model assumed homogenous mixing of case-patients and contacts; heterogeneous mixing would result in faster initial spread, followed by slower spread. Additional costs and savings not included in the model would make vaccination more cost-saving.

Conclusion: Earlier vaccination against pandemic (H1N1) 2009 prevents more deaths and is more cost-saving. Complete population coverage is not necessary to reduce the viral reproductive rate sufficiently to help shorten the pandemic.

Primary Funding Source: Agency for Healthcare Research and Quality and National Institute on Drug Abuse.

Background: The pandemic potential of influenza A (H5N1) virus is a prominent public health concern of the 21st century.

Objective: To estimate the effectiveness and cost-effectiveness of alternative pandemic (H5N1) mitigation and response strategies.

Design: Compartmental epidemic model in conjunction with a Markov model of disease progression.

Data Sources: Literature and expert opinion.

Target Population: Residents of a U.S. metropolitan city with a population of 8.3 million.

Time Horizon: Lifetime.

Perspective: Societal.

Interventions: 3 scenarios: 1) vaccination and antiviral pharmacotherapy in quantities similar to those currently available in the U.S. stockpile (stockpiled strategy), 2) stockpiled strategy but with expanded distribution of antiviral agents (expanded prophylaxis strategy), and 3) stockpiled strategy but with adjuvanted vaccine (expanded vaccination strategy). All scenarios assumed standard nonpharmaceutical interventions.

Outcome Measures: Infections and deaths averted, costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness.

Results of Base-Case Analysis: Expanded vaccination was the most effective and cost-effective of the 3 strategies, averting 68% of infections and deaths and gaining 404 030 QALYs at $10 844 per QALY gained relative to the stockpiled strategy.

Results of Sensitivity Analysis: Expanded vaccination remained incrementally cost-effective over a wide range of assumptions.

Limitations: The model assumed homogenous mixing of cases and contacts; heterogeneous mixing would result in faster initial spread, followed by slower spread. We did not model interventions for children or older adults; the model is not designed to target interventions to specific groups.

Conclusion: Expanded adjuvanted vaccination is an effective and cost-effective mitigation strategy for an influenza A (H5N1) pandemic. Expanded antiviral prophylaxis can help delay the pandemic while additional strategies are implemented.

Primary Funding Source: National Institutes of Health and Agency for Healthcare Research and Quality.

Taiwan's Koo Foundation Sun Yat-Sen Cancer Center has developed an integrated, team-based care delivery model for breast cancer care that is being expanded to other cancer types in 2009. A decade earlier, President and CEO Dr. Andrew Huang and the Center had worked with the Taiwan National Health Insurance system to create a pay-for-performance reimbursement program for breast cancer care that has since been adopted by five other providers. The program issues capitated, per patient base payments for breast cancer care, with bonus payments based upon provider reporting and performance on a set of quality measures. This case allows readers to examine health care provider strategy, development and implementation of bundled reimbursement, integrated care delivery, quality measurement, and Taiwan's universal health care system.

As academic fields and professions go, health services research is relatively young. Whether one dates the beginning of this field to the first National Institutes of Health study section on health services research in 1960, the passage of Medicare and Medicaid in 1965 and the accompanying drive to develop the conceptual and analytic tools to manage them, or the founding of this journal by the Health Research and Educational Trust with a grant from the U.S. Public Health Service in 1966, its history is much shorter than that of many other disciplines. The field gained its own professional organization only as recently as 1981 with the establishment of the Association of Health Services Research (now called AcademyHealth).

This study examined whether externally rated job demand and control were associated with depression diagnosis claims in a heavy industrial cohort. The retrospective cohort sample consisted of 7,566 hourly workers aged 18-64 years who were actively employed at 11 US plants between January 1, 1996, and December 31, 2003, and free of depression diagnosis claims during an initial 2-year run-in period. Logistic regression analysis was used to model the effect of tertiles of demand and control exposure on depression diagnosis claims. Demand had a significant positive association with depression diagnosis claims in bivariate models and models adjusted for demographic (age, gender, race, education, job grade, tenure) and lifestyle (smoking status, body mass index, cholesterol level) variables (high demand odds ratio = 1.39, 95% confidence interval: 1.04, 1.86). Control was associated with greater risk of depression diagnosis at moderate levels in unadjusted models only (odds ratio = 1.47, 95% confidence interval: 1.12, 1.93), while low control, contrary to expectation, was not associated with depression. The effects of the externally rated demand exposure were lost with adjustment for location. This may reflect differences in measurement or classification of exposure, differences in depression diagnosis by location, or other location-specific factors.

The Child-Adolescent Mental Health Services (CAMHS) system confronts clinically complex youth with high rates of behavior problems, diverse mental health disorders, substance abuse, criminal behavior, and other "at risk" behaviors (e.g. school truancy, family conflict, etc.). Because of the complexity of the youth, the system has serious difficulties helping them to successfully overcome the myriad of problems they confront. This group proposes that a public health approach would help solve many of the inadequacies of the current system.