From Theory to Practice: Implementation of a Resource Allocation Model in Health Departments.

OBJECTIVE: To develop a resource allocation model to optimize health departments' Centers for Disease Control and Prevention (CDC)-funded HIV prevention budgets to prevent the most new cases of HIV infection and to evaluate the model's implementation in 4 health departments. DESIGN, SETTINGS, AND PARTICIPANTS: We developed a linear programming model combined with a Bernoulli process model that allocated a fixed budget among HIV prevention interventions and risk subpopulations to maximize the number of new infections prevented. The model, which required epidemiologic, behavioral, budgetary, and programmatic data, was implemented in health departments in Philadelphia, Chicago, Alabama, and Nebraska. MAIN OUTCOME MEASURES: The optimal allocation of funds, the site-specific cost per case of HIV infection prevented rankings by intervention, and the expected number of HIV cases prevented. RESULTS: The model suggested allocating funds to HIV testing and continuum-of-care interventions in all 4 health departments. The most cost-effective intervention for all sites was HIV testing in nonclinical settings for men who have sex with men, and the least cost-effective interventions were behavioral interventions for HIV-negative persons. The pilot sites required 3 to 4 months of technical assistance to develop data inputs and generate and interpret the results. Although the sites found the model easy to use in providing quantitative evidence for allocating HIV prevention resources, they criticized the exclusion of structural interventions and the use of the model to allocate only CDC funds. CONCLUSIONS: Resource allocation models have the potential to improve the allocation of limited HIV prevention resources and can be used as a decision-making guide for state and local health departments. Using such models may require substantial staff time and technical assistance. These model results emphasize the allocation of CDC funds toward testing and continuum-of-care interventions and populations at highest risk of HIV transmission.

Transactional sex among men who have sex with men in Latin America: economic, sociodemographic, and psychosocial factors.

OBJECTIVES: We assessed factors associated with engagement in transactional sex among men who have sex with men recruited from one of the largest Internet sites for men seeking social or sexual interactions with other men in Latin America. METHODS: We constructed multilevel logistic regression models to analyze factors associated with engagement in transactional sex in 17 Latin American countries in 2012. RESULTS: Of 24 051 respondents, 1732 (7.2%) reported being paid for sexual intercourse in the past 12 months. In a multivariable model, higher country-level unemployment was associated with increased odds of transactional sex (adjusted odds ratio [AOR] = 1.07 per 1% increase in unemployment; 95% confidence interval [CI] = 1.00, 1.13). Individual or interpersonal factors associated with increased odds of engagement in transactional sex included self-reported HIV (AOR = 1.33; 95% CI = 1.04, 1.69) or sexually transmitted infection (AOR = 1.33; 95% CI = 1.11, 1.59), childhood sexual abuse history (AOR = 1.75; 95% CI = 1.48, 2.06), intimate partner violence (past 5 years, AOR = 1.68; 95% CI = 1.45, 1.95), and sexual compulsivity (AOR = 1.77; 95% CI = 1.49, 2.11). CONCLUSIONS: Structural-level economic interventions and those that address individual and interpersonal factors may improve HIV prevention efforts among men who have sex with men who engage in transactional sex.

Sex and gender in the US health surveillance system: a call to action.

Youth Risk Behavior Survey (YRBS) data have exposed significant sexual orientation disparities in health. Interest in examining the health of transgender youths, whose gender identities or expressions are not fully congruent with their assigned sex at birth, highlights limitations of the YRBS and the broader US health surveillance system. In 2009, we conducted the mixed-methods Massachusetts Gender Measures Project to develop and cognitively test measures for adolescent health surveillance surveys. A promising measure of transgender status emerged through this work. Further research is needed to produce accurate measures of assigned sex at birth and several dimensions of gender to further our understanding of determinants of gender disparities in health and enable strategic responses to address them.

Reporting guidelines and the American Journal of Public Health's adoption of Preferred Reporting Items for Systematic reviews and Meta-Analyses.

Widespread recognition of the need to improve the science of published research, as well as the moral and ethical reasons for adequately reporting study results, has spurred recent interest in strengthening journal research reporting through the use of reporting guidelines. Reporting guidelines also provide information for readers to judge study quality. American Journal of Public Health previously adopted the Consolidated Standards of Reporting Trials and Transparent Reporting of Evaluations With Nonrandomized Designs guidelines and recently endorsed the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. In adopting these guidelines, the journal aims to support authors, reviewers, and editors in reporting and evaluating systematic reviews of public health policy and practice priorities.

Transgender health in Massachusetts: results from a household probability sample of adults.

Despite higher rates of unemployment and poverty among transgender adults (n = 131; 0.5% weighted) than among nontransgender adults (n = 28,045) in our population-based Massachusetts household sample, few health differences were observed between transgender and nontransgender adults. Transgender adults who are stably housed and participated in a telephone health survey may represent the healthiest segment of the transgender population. Our findings demonstrate a need for diverse sampling approaches to monitor transgender health, including adding transgender measures to population-based surveys, and further highlight economic inequities that warrant intervention.

Sexual orientation differences in asthma correlates in a population-based sample of adults.

To understand what conditions may correlate with asthma diagnoses in the lesbian, gay, and bisexual (LGB) population, we used Massachusetts Behavioral Risk Factor Surveillance System data to construct multivariable logistic regression models separately for LGB individuals and heterosexuals. Current or former smoking and obesity were positively associated with history of an asthma diagnosis among both LGB individuals and heterosexuals. Being underweight (negative correlation) and overweight and reporting frequent symptoms of depression in the preceding 30 days also predicted a history of asthma diagnosis among heterosexuals.

A population-based study of sexual orientation identity and gender differences in adult health.

OBJECTIVES: We provide estimates of several leading US adult health indicators by sexual orientation identity and gender to fill gaps in the current literature. METHODS: We aggregated data from the 2001-2008 Massachusetts Behavioral Risk Factor Surveillance surveys (N = 67,359) to examine patterns in self-reported health by sexual orientation identity and gender, using multivariable logistic regression. RESULTS: Compared with heterosexuals, sexual minorities (i.e., gays/lesbians, 2% of sample; bisexuals, 1%) were more likely to report activity limitation, tension or worry, smoking, drug use, asthma, lifetime sexual victimization, and HIV testing, but did not differ on 3-year Papanicolaou tests, lifetime mammography, diabetes, or heart disease. Compared with heterosexuals, bisexuals reported more barriers to health care, current sadness, past-year suicidal ideation, and cardiovascular disease risk. Gay men were less likely to be overweight or obese and to obtain prostate-specific antigen tests, and lesbians were more likely to be obese and to report multiple risks for cardiovascular disease. Binge drinking and lifetime physical intimate partner victimization were more common among bisexual women. CONCLUSIONS: Sexual orientation disparities in chronic disease risk, victimization, health care access, mental health, and smoking merit increased attention. More research on heterogeneity in health and health determinants among sexual minorities is needed.