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To test the hypothesis that childhood sexual abuse (CSA) is a risk factor for commercial sexual exploitation of children (CSEC), we analysed data from the Haiti Violence Against Children Survey (VACS), a population-based sample of adolescents and young adults ages 13-24 (1459 males and 1457 females). Twenty-one percent of males and 25% of females reported CSA; 6% of males and 4% of females reported CSEC. The adjusted odds ratios (AORs) for CSEC based on exposure to CSA were 5.6 (95% confidence interval/CI: 3.1-10.2) for males and 5.9 (CI: 2.6-13.0) for females. For each year earlier that males first experienced CSA, the odds of CSEC increased 60% (AOR 1.6, CI 1.2-2.0). In this first nationally-representative study of lifetime CSEC, both boys and girls victimised by CSA in Haiti were more likely to have also experienced CSEC than other youth, with children who experienced CSA at younger ages at the greatest risk.

BackgroundBihar, India has higher rates of intimate partner violence (IPV) and maternal and infant mortality relative to India as a whole. This study assesses whether IPV is associated with poor reproductive and maternal health outcomes, as well as whether poverty exacerbates any observed associations, among women who gave birth in the preceding 23 months in Bihar, India.MethodsA cross-sectional analysis of data from a representative household sample of mothers of children 0-23 months old in Bihar, India (N = 13,803) was conducted. Associations between lifetime IPV (physical and/or sexual violence) and poor reproductive health outcomes ever (miscarriage, stillbirth, and abortion) as well as maternal complications for the index pregnancy (early and/or prolonged labor complications, other complications during pregnancy or delivery) were assessed using multivariable logistic regression, adjusting for demographics and fertility history of the mother. Models were then stratified by wealth index to determine whether observed associations were stronger for poorer versus wealthier women.ResultsIPV was reported by 45% of women in the sample. A history of miscarriage, stillbirth, and abortion was reported by 8.7, 4.6, and 1.3% of the sample, respectively. More than one in 10 women (10.7%) reported labor complications during the last pregnancy, and 16.3% reported other complications during pregnancy or delivery. Adjusted regressions revealed significant associations between IPV and miscarriage (AOR = 1.35, 95% CI = 1.11-1.65) and stillbirth (AOR = 1.36, 95% CI = 1.02-1.82) ever, as well as with labor complications (AOR = 1.27, 95% CI = 1.04-1.54) and other pregnancy/delivery complications (AOR = 1.68, 95% CI = 1.42-1.99). Women in the poorest quartile (Quartile 1) saw no associations between IPV and miscarriage (Quartile 1 AOR = 0.98, 95% CI = 0.67-1.45) or stillbirth (Quartile 1 AOR = 1.17, 95% CI = 0.69-1.98), whereas women in the higher wealth quartile (Quartile 3) did see associations between IPV and miscarriage (Quartile 3 AOR = 1.55, 95% CI = 1.07, 2.25) and stillbirth (Quartile 3 AOR = 1.79, 95% CI = 1.04, 3.08).DiscussionIPV is highly prevalent in Bihar and is associated with increased risk for miscarriage, stillbirth, and maternal health complications. Associations between IPV and miscarriage and stillbirth do not hold true for the poorest women, possibly because other risks attached to poverty and deprivation may be greater contributors.

This study assesses effects of a community-based intervention across seven sites in the United States on HIV care utilization and study retention, among people living with HIV (PLWH). A two-armed study was conducted from 2013 to 2016 in each of seven community-based agencies across the United States. Each site conducted interventions involving community engagement approaches in the form of case management or patient navigation. Control conditions were standard of care involving referral to HIV clinical care. Participants (N = 583) were adults reporting erratic or no HIV care in the past 6 months. Longitudinal survey data on demographics, behavioral risks, and HIV care were collected from participants at baseline, before service delivery, and at 6-month follow-up. Unadjusted and adjusted generalized linear mixed models were used to assess the intervention effects on HIV care utilization and study retention. Participants were majority black (75.5%), cisgender male (55.1%), and heterosexual (55.4%). No significant intervention effect was observed on HIV care utilization, although both groups improved significantly over time [adjusted odds ratio (AOR): 2.09, 95% confidence interval (CI): 1.30-3.37]. Intervention participants were more likely to be retained in the study (AOR: 1.50, 95% CI: 1.03-2.20). Community intervention did not affect HIV care utilization more than standard of care, but intervention participants were more likely to be retained in the study, suggesting that such approaches support relationship building in ways that can facilitate follow-up of socially vulnerable PLWH. More research is needed to understand how such community efforts can support better HIV care utilization in these populations.

PurposeTo compare a novel generalized competing event (GCE) model versus the standard Cox proportional hazards regression model for stratifying elderly patients with cancer who are at risk for competing events.MethodsWe identified 84,319 patients with nonmetastatic prostate, head and neck, and breast cancers from the SEER-Medicare database. Using demographic, tumor, and clinical characteristics, we trained risk scores on the basis of GCE versus Cox models for cancer-specific mortality and all-cause mortality. In test sets, we examined the predictive ability of the risk scores on the different causes of death, including second cancer mortality, noncancer mortality, and cause-specific mortality, using Fine-Gray regression and area under the curve. We compared how well models stratified subpopulations according to the ratio of the cumulative cause-specific hazard for cancer mortality to the cumulative hazard for overall mortality (ω) using the Akaike Information Criterion.ResultsIn each sample, increasing GCE risk scores were associated with increased cancer-specific mortality and decreased competing mortality, whereas risk scores from Cox models were associated with both increased cancer-specific mortality and competing mortality. GCE models created greater separation in the area under the curve for cancer-specific mortality versus noncancer mortality (P < .001), indicating better discriminatory ability between these events. Comparing the GCE model to Cox models of cause-specific mortality or all-cause mortality, the respective Akaike Information Criterion scores were superior (lower) in each sample: prostate cancer, 28.6 versus 35.5 versus 39.4; head and neck cancer, 21.1 versus 29.4 versus 40.2; and breast cancer, 24.6 versus 32.3 versus 50.8.ConclusionCompared with standard modeling approaches, GCE models improve stratification of elderly patients with cancer according to their risk of dying from cancer relative to overall mortality.

PurposeRadiation therapy represents a major source of health care expenditure for patients with cancer. Understanding the sources of variability in the cost of radiation therapy is critical to evaluating the efficiency of the current reimbursement system and could shape future policy reform. This study defines the magnitude and sources of variation in the cost of radiation therapy for a large cohort of Medicare beneficiaries.Patients and methodsWe identified 55,288 patients within the SEER database diagnosed with breast, lung, or prostate cancer between 2004 and 2009. The cost of radiation therapy was estimated from Medicare reimbursements. Multivariable linear regression models were used to assess the influence of patient, tumor, and radiation therapy provider characteristics on variation in cost of radiation therapy.ResultsFor breast, lung, and prostate cancers, the median cost (interquartile range) of a course of radiation therapy was $8,600 ($7,300 to $10,300), $9,000 ($7,500 to $11,100), and $18,000 ($11,300 to $25,500), respectively. For all three cancer subtypes, patient- or tumor-related factors accounted for < 3% of the variation in cost. Factors unrelated to the patient, including practice type, geography, and individual radiation therapy provider, accounted for a substantial proportion of the variation in cost, ranging from 44% with breast, 43% with lung, and 61% with prostate cancer.ConclusionIn this study, factors unrelated to the individual patient accounted for the majority of variation in the cost of radiation therapy, suggesting potential inefficiency in health care expenditure. Future research should determine whether this variability translates into improved patient outcomes for further evaluation of current reimbursement practices.