Despite an association between violence perpetration and substance use, the characteristics associated with violence among patients in treatment for substance use disorders (SUDs) are not well documented. Data were gathered from a national sample of men (n = 4,459) and women (n = 1,774) entering SUD treatment on history of violence perpetration, exposure to childhood physical abuse (CPA) and childhood sexual abuse (CSA), and reasons for entering treatment. Rates of violence perpetration were high (72% of men, 50% of women), and violence was associated with being referred by family members, prior SUD treatment, CPA, and CSA. In multivariate analyses, CPA was a significant correlate of violence perpetration across gender; however, CSA was only significant among women. Findings highlight the need for increased screening and treatment of violence perpetration among patients with SUD and suggest that CSA may be an important correlate of violence perpetration among women.

OBJECTIVES: We sought to determine the prevalence of HIV in both inpatient and outpatient settings in 6 Department of Veterans Affairs (VA) health care sites. METHODS: We collected demographic data and data on comorbid conditions and then conducted blinded, anonymous HIV testing. We conducted a multivariate analysis to determine predictors of HIV infection. RESULTS: We tested 4500 outpatient blood specimens and 4205 inpatient blood specimens; 326 (3.7%) patients tested positive for HIV. Inpatient HIV prevalence ranged from 1.2% to 6.9%; outpatient HIV prevalence ranged from 0.9% to 8.9%. Having a history of hepatitis B or C infection, a sexually transmitted disease, or pneumonia also predicted HIV infection. The prevalence of previously undocumented HIV infection varied from 0.1% to 2.8% among outpatients and from 0.0% to 1.7% among inpatients. CONCLUSIONS: The prevalence of undocumented HIV infection was sufficiently high for routine voluntary screening to be cost effective in each of the 6 sites we evaluated. Many VA health care systems should consider expanded routine voluntary HIV screening.

BACKGROUND: To provide quantitative insight into current U.S. policy choices for cervical cancer prevention, we developed a model of human papillomavirus (HPV) and cervical cancer, explicitly incorporating uncertainty about the natural history of disease. METHODS: We developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. Input parameter sets were sampled randomly from uniform distributions, and simulations undertaken with each set. Through systematic reviews and formal data synthesis, we established multiple epidemiologic targets for model calibration, including age-specific prevalence of HPV by type, age-specific prevalence of cervical intraepithelial neoplasia (CIN), HPV type distribution within CIN and cancer, and age-specific cancer incidence. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted outcomes and calibration targets. Using 50 randomly resampled, good-fitting parameter sets, we assessed the external consistency and face validity of the model, comparing predicted screening outcomes to independent data. To illustrate the advantage of this approach in reflecting parameter uncertainty, we used the 50 sets to project the distribution of health outcomes in U.S. women under different cervical cancer prevention strategies. RESULTS: Approximately 200 good-fitting parameter sets were identified from 1,000,000 simulated sets. Modeled screening outcomes were externally consistent with results from multiple independent data sources. Based on 50 good-fitting parameter sets, the expected reductions in lifetime risk of cancer with annual or biennial screening were 76% (range across 50 sets: 69-82%) and 69% (60-77%), respectively. The reduction from vaccination alone was 75%, although it ranged from 60% to 88%, reflecting considerable parameter uncertainty about the natural history of type-specific HPV infection. The uncertainty surrounding the model-predicted reduction in cervical cancer incidence narrowed substantially when vaccination was combined with every-5-year screening, with a mean reduction of 89% and range of 83% to 95%. CONCLUSION: We demonstrate an approach to parameterization, calibration and performance evaluation for a U.S. cervical cancer microsimulation model intended to provide qualitative and quantitative inputs into decisions that must be taken before long-term data on vaccination outcomes become available. This approach allows for a rigorous and comprehensive description of policy-relevant uncertainty about health outcomes under alternative cancer prevention strategies. The model provides a tool that can accommodate new information, and can be modified as needed, to iteratively assess the expected benefits, costs, and cost-effectiveness of different policies in the U.S.

Background: Effective strategies for managing patients with solitary pulmonary nodules (SPN) depend critically on the pre-test probability of malignancy.

Objective: To validate two previously developed models that estimate the probability that an indeterminate solitary pulmonary nodule (SPN) is malignant, based on clinical characteristics and radiographic findings.

Methods: We retrospectively collected data on age, smoking and cancer history, nodule size, location, and spiculation from the medical records of 151 veterans (145 men, 6 women; range 39 to 87 years) with an SPN measuring 7 to 30 mm (inclusive) and a final diagnosis established by histopathology or 2-year follow-up. We compared each patient's final diagnosis to the probability of malignancy predicted by two models: one developed by investigators at the Mayo Clinic and another that we developed from patients enrolled in a VA Cooperative Study. We assessed model accuracy by calculating areas under the receiver operating characteristic (ROC) curve and model calibration by comparing predicted and observed rates of malignancy.

Results: The area under the ROC curve for the Mayo Clinic model (0.80; 95% CI 0.72-0.88) was higher than that of the VA model (0.73; 95% CI 0.64-0.82), but this difference was not statistically significant (Delta=0.07; 95% CI -0.03 to 0.16). Calibration curves showed that the probability of malignancy was underestimated by the Mayo Clinic model and overestimated by the VA model.

Conclusions: Two existing prediction models are sufficiently accurate to guide decisions about the selection and interpretation of subsequent diagnostic tests in patients with SPNs, although clinicians should also consider the prevalence of malignancy in their practice setting when choosing a model.

Background: Current practice guidelines emphasize the importance of attaining asthma control. We sought to quantify the degree of quality-of-life impairment associated with different levels of asthma control.

Methods: We analyzed prospective data for 987 adults in The Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens (TENOR) study. Asthma control was assessed by using the Asthma Therapy Assessment Questionnaire, a validated index of control problems ranging from 0 to 4. Disease-specific quality of life and preference-based health utilities were assessed after 12 months of follow-up by using the Mini-Asthma Quality of Life Questionnaire (AQLQ) and EuroQoL 5-D (EQ-5D). We used multiple linear regression to model the relationship between asthma control and the AQLQ and EQ-5D while controlling for severity classification and lung function.

Results: Asthma control varied widely, even within a population with predominantly moderate-to-severe disease. An inverse relationship was observed between the number of asthma control problems and quality of life. Specifically, poorer control at baseline predicted worse AQLQ and EQ-5D scores at follow-up. Asthma control remained an independent predictor of disease-specific quality of life and general health in multivariate models and was a better longitudinal predictor of health status than asthma severity at baseline.

Conclusion: Poor asthma control is associated with a substantial degree of impairment and predicts quality of life at 12 months, even after taking baseline asthma severity into account.

Clinical implications: Self-assessed measures of asthma control might help to identify and manage those patients at greatest risk for future health impairment.

Background: Although beta-blockers are known to prolong survival for patients with reduced left ventricular ejection fraction, they are often underused. We hypothesized that a reminder attached to the echocardiography report would increase the use of beta-blockers for patients with reduced left ventricular ejection fraction.

Methods and Results: We randomized 1546 consecutive patients with a left ventricular ejection fraction 45% found on echocardiography at 1 of 3 laboratories to a reminder for use of beta-blockers or no reminder. Patients were excluded from analysis if they died within 30 days of randomization (n=89), did not receive medications through the Veterans Affairs system after 30 days (n=180), or underwent echocardiography at >1 laboratory (n=6). The primary outcome was a prescription for an oral beta-blocker between 1 and 9 months after randomization. The mean age of the 1271 included patients was 69 years; 60% had a history of heart failure, and 51% were receiving treatment with beta-blockers at the time of echocardiography. More patients randomized to the reminder had a subsequent beta-blocker prescription (74%, 458 of 621) compared with those randomized to no reminder (66%, 428 of 650; P=0.002). The effect of the reminder was not significantly different for subgroups based on patient location (inpatient versus outpatient) or prior use of beta-blockers.

Conclusions: A reminder attached to the echocardiography report increased the use of beta-blockers in patients with depressed left ventricular systolic function.

Public-private partnerships have become a common approach to health care problems worldwide. Many public-private partnerships were created during the late 1990s, but most were focused on specific diseases such as HIV/AIDS, tuberculosis, and malaria.

Recently there has been enthusiasm for using public-private partnerships to improve the delivery of health and welfare services for a wider range of health problems, especially in developing countries. The success of public-private partnerships in this context appears to be mixed, and few data are available to evaluate their effectiveness.

This analysis provides an overview of the history of health-related public-private partnerships during the past 20 years and describes a research protocol commissioned by the World Health Organization to evaluate the effectiveness of public-private partnerships in a research context.

BACKGROUND: A genome-wide association study identified 13 single-nucleotide polymorphisms (SNPs) significantly associated with Parkinson's disease. Small-scale replication studies were largely non-confirmatory, but a meta-analysis that included data from the original study could not exclude all SNP associations, leaving relevance of several markers uncertain. METHODS: Investigators from three Michael J Fox Foundation for Parkinson's Research-funded genetics consortia-comprising 14 teams-contributed DNA samples from 5526 patients with Parkinson's disease and 6682 controls, which were genotyped for the 13 SNPs. Most (88%) participants were of white, non-Hispanic descent. We assessed log-additive genetic effects using fixed and random effects models stratified by team and ethnic origin, and tested for heterogeneity across strata. A meta-analysis was undertaken that incorporated data from the original genome-wide study as well as subsequent replication studies. FINDINGS: In fixed and random-effects models no associations with any of the 13 SNPs were identified (odds ratios 0.89 to 1.09). Heterogeneity between studies and between ethnic groups was low for all SNPs. Subgroup analyses by age at study entry, ethnic origin, sex, and family history did not show any consistent associations. In our meta-analysis, no SNP showed significant association (summary odds ratios 0.95 to 1.08); there was little heterogeneity except for SNP rs7520966. INTERPRETATION: Our results do not lend support to the finding that the 13 SNPs reported in the original genome-wide association study are genetic susceptibility factors for Parkinson's disease.

Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes, can guide the design of future clinical studies and operational research, can provide insight into the cost-effectiveness of different strategies, and can assist in early decision-making when considered with criteria such as equity, public preferences, and political and cultural constraints