New technologies, including prescription drugs and medical devices, are a major driver of increases in U.S. health care expenditures, which have grown by an estimated 71% since 2000.1 The U.S. market for drugs and devices is regulated by the Food and Drug Administration (FDA), which scrutinizes clinical trial data for evidence of safety and efficacy. Although the FDA has been criticized for missteps and inefficiencies in its approval process, these are not the causes of increasing health care expenditures. More relevant is FDA oversight of the labeling and promotion of medical products.

Ethnically homogenous communities often do a better job than diverse communities of producing public goods such as satisfactory schools and health care, adequate sanitation, and low levels of crime. Coethnicity reports the results of a landmark study that aimed to find out why diversity has this cooperation-undermining effect. The study, conducted in a neighborhood of Kampala, Uganda, notable for both its high levels of diversity and low levels of public goods provision, hones in on the mechanisms that might account for the difficulties diverse societies often face in trying to act collectively.

The Mulago-Kyebando Community Study uses behavioral games to explore how the ethnicity of the person with whom one is interacting shapes social behavior. Hundreds of local participants interacted with various partners in laboratory games simulating real-life decisions involving the allocation of money and the completion of joint tasks. Many of the subsequent findings debunk long-standing explanations for diversity's adverse effects. Contrary to the prevalent notion that shared preferences facilitate ethnic collective action, differences in goals and priorities among participants were not found to be structured along ethnic lines. Nor was there evidence that subjects favored the welfare of their coethnics over that of non-coethnics. When given the opportunity to act altruistically, individuals did not choose to benefit coethnics disproportionately when their actions were anonymous. Yet when anonymity was removed, subjects behaved very differently. With their actions publicly observed, subjects gave significantly more to coethnics, expected their partners to reciprocate, and expected that they would be sanctioned for a failure to cooperate. This effect was most pronounced among individuals who were otherwise least likely to cooperate. These results suggest that what may look like ethnic favoritism is, in fact, a set of reciprocity norms--stronger among coethnics than among non-coethnics--that make it possible for members of more homogeneous communities to take risks, invest, and cooperate without the fear of getting cheated. Such norms may be more subject to change than deeply held ethnic antipathies--a powerful finding for policymakers seeking to design social institutions in diverse societies.

Research on ethnic diversity typically draws on either experimental research or field work. Coethnicity does both. By taking the crucial step from observation to experimentation, this study marks a major breakthrough in the study of ethnic diversity.

Data and well-constructed measures quantify suboptimal quality in health care and play a crucial role in improving quality. Measures are useful for three major purposes: (1) driving improvements in outcomes of care by prioritizing and selecting appropriate interventions, (2) developing comparative quality reports for consumer and payer decision making and health system accountability, and (3) creating incentives that pay for performance. This article describes the current landscape for measurement in pediatrics compared to adult care, provides a case study of the development and application of a publicly available and federally funded pediatric indicator set using routinely collected hospital discharge data, and addresses challenges and opportunities in selecting and using measures as a function of intended purpose.

Despite recommendations for voluntary HIV screening, few medical centres have implemented screening programmes. The objective of the study was to determine whether an intervention with computer-based reminders and feedback would increase screening for HIV in a Department of Veterans Affairs (VA) health-care system. The design of the study was a randomized controlled trial at five primary care clinics at the VA Palo Alto Health Care System. All primary care providers were eligible to participate in the study. The study intervention was computer-based reminders to either assess HIV risk behaviours or to offer HIV testing; feedback on adherence to reminders was provided. The main outcome measure was the difference in HIV testing rates between intervention and control group providers. The control group providers tested 1.0% (n = 67) and 1.4% (n = 106) of patients in the preintervention and intervention period, respectively; intervention providers tested 1.8% (n = 98) and 1.9% (n = 114), respectively (P = 0.75).In our random sample of 753 untested patients, 204 (27%) had documented risk behaviours. Providers were more likely to adhere to reminders to test rather than with reminders to perform risk assessment (11% versus 5%, P < 0.01). Sixty-one percent of providers felt that lack of time prevented risk assessment. In conclusion, in primary care clinics in our setting, HIV testing rates were low. Providers were unaware of the high rates of risky behaviour in their patient population and perceived important barriers to testing. Low-intensity clinical reminders and feedback did not increase rates of screening.

BACKGROUND: Previous research has provided evidence that socioeconomic status has an impact on invasive treatments use after acute myocardial infarction. In this paper, we compare the socioeconomic inequality in the use of high-technology diagnosis and treatment after acute myocardial infarction between the US, Quebec and Belgium paying special attention to financial incentives and regulations as explanatory factors.

METHODS: We examined hospital-discharge abstracts for all patients older than 65 who were admitted to hospitals during the 1993-1998 period in the US, Quebec and Belgium with a primary diagnosis of acute myocardial infarction. Patients' income data were imputed from the median incomes of their residential area. For each country, we compared the risk-adjusted probability of undergoing each procedure between socioeconomic categories measured by the patient's area median income.

RESULTS: Our findings indicate that income-related inequality exists in the use of high-technology treatment and diagnosis techniques that is not justified by differences in patients' health characteristics. Those inequalities are largely explained, in the US and Quebec, by inequalities in distances to hospitals with on-site cardiac facilities. However, in both Belgium and the US, inequalities persist among patients admitted to hospitals with on-site cardiac facilities, rejecting the hospital location effect as the single explanation for inequalities. Meanwhile, inequality levels diverge across countries (higher in the US and in Belgium, extremely low in Quebec).

CONCLUSIONS: The findings support the hypothesis that income-related inequality in treatment for AMI exists and is likely to be affected by a country's system of health care.

Objective. To compare safety climate between diverse U.S. hospitals and Veterans Health Administration (VA) hospitals, and to explore the factors influencing climate in each setting.

Data Sources. Primary data from surveys of hospital personnel; secondary data from the American Hospital Association's 2004 Annual Survey of Hospitals.

Study Design. Cross-sectional study of 69 U.S. and 30 VA hospitals.

Data Collection. For each sample, hierarchical linear models used safety-climate scores as the dependent variable and respondent and facility characteristics as independent variables. Regression-based Oaxaca–Blinder decomposition examined differences in effects of model characteristics on safety climate between the U.S. and VA samples.

Principal Findings. The range in safety climate among U.S. and VA hospitals overlapped substantially. Characteristics of individuals influenced safety climate consistently across settings. Working in southern and urban facilities corresponded with worse safety climate among VA employees and better safety climate in the U.S. sample. Decomposition results predicted 1.4 percentage points better safety climate in U.S. than in VA hospitals: −0.77 attributable to sample-characteristic differences and 2.2 due to differential effects of sample characteristics.

Conclusions. Results suggest that safety climate is linked more to efforts of individual hospitals than to participation in a nationally integrated system or measured characteristics of workers and facilities.

Objective

To determine whether eligible extremely-low-birth-weight children (<1000g) were enrolled in the federally enacted, state-coordinated Early Intervention (EI) program intended to help children with developmental delay or disability regardless of parental income, and the factors associated with enrollment.

Methods

Retrospective analysis of 884 EI-eligible ELBW children born in South Carolina with birth weight 401 to 999g, gestation ≥24 weeks, and survival for the first 120 days of life. We created a linked data set with data from Early Intervention (1996–2001), Vital Records (1996–1998), death certificates, and Medicaid. Each child was followed from birth to 3 years old, the program eligibility period.

Results

A total of 54% of ELBW children were enrolled in EI at any time from birth to 36 months. Even among children ever enrolled in Medicaid (83% of all ELBW children), only 63% were enrolled in EI. Being born in a multiple gestational birth, having heavier birth weight (750 to 999g), and having ever enrolled in Medicaid were positively associated with EI enrollment. Among Medicaid patients for whom perinatal data were available, additional risk adjustment showed that EI enrollment was more likely with birth in level 3 hospitals, birth weight 750 to 999g, Neonatal Medical Index severity level V (most severe), and longer initial length of hospital stay.

Conclusions

Only about half of eligible ELBW children in South Carolina were enrolled—much lower than reported elsewhere. Efforts are needed to understand why eligible infants are not being enrolled and to develop strategies to remedy the situation.

The overall goal of the paper is to understand the progress of the design and implementation of China’s New Cooperative Medical System (NCMS) program between 2004 (the second year of the program) and 2007. In the paper we seek to assess some of the strengths and weaknesses of the program using a panel of national- representative, household survey data that were collected in 2005 and early 2008. According to our data, we confirm the recent reports by the Ministry of Health that there have been substantial improvements to the NCMS program in terms of coverage and participation. We also show that rural individuals also perceive an improvement in service by 2007. While the progress of the NCMS program is clear, there are still weaknesses. Most importantly, the program clearly does not meet one of its key goals of providing insurance against catastrophic illnesses. On average, individuals that required inpatient treatment in 2007 were reimbursed for 15% of their expenditures. Although this is higher than in 2004, on average, as the severity of the illness (in terms of expenditures on health care) rose, the real reimbursement rate (reimbursement amount/total expenditure on medical care) fell. The real reimbursement rate for illnesses that required expenditures between 4000 and 10000 yuan (over 10000 yuan) was only 11% (8%). Our analysis shows that one of the limiting factors is constrained funding.