Background

The stigma of HIV-infection may profoundly affect the lives of persons living with HIV/AIDS (PLHA). However few studies have examined the association of HIV stigma with multiple components of HIV treatment and care.

Objectives

To estimate the association between HIV stigma and: self-reported access to care, regular source of HIV care, and antiretroviral therapy adherence; and to test whether mental health mediates these associations.

Design

Cross-sectional study.

Participants

202 PLHA living in Los Angeles County in 2007.

Measurements

Participants completed an anonymous survey, assessing internalized HIV stigma (28-items, alpha = 0.93), self-reported access to medical care (six items, alpha = 0.75), regular source of HIV care, and antiretroviral therapy (ART) adherence.

Results

One-third of participants reported high levels of stigma; 77% reported poor access to care; 42.5% reported suboptimal ART adherence; and 10.5% reported no regular source of HIV care. In unadjusted analysis, those reporting a high level of stigma were more likely to report poor access to care (OR = 4.97, 95% CI 2.54-9.72), regular source of HIV care (OR = 2.48, 95% CI 1.00-6.19), and ART adherence (OR = 2.45, 95% CI 1.23-4.91). In adjusted analyses, stigma was significantly associated with poor access to care (OR = 4.42, 95% CI 1.88-10.37), but not regular source of HIV care or ART adherence. Mental health mediated the relationship between stigma and ART adherence, but not poor access to care or regular source of HIV care.

Conclusions

The association of stigma with self-reported access to care and adherence suggests that efforts to improve these components of HIV care will require a better understanding of the possible effects of stigma and its mediators.

Background

Although antiretroviral therapy (ART) is available to treat HIV+ persons and prevent transmission, ineffective delivery of care may delay ART use, impede viral suppression (VS), and contribute to racial/ethnic disparities along the continuum of care. This study tested the effects of a bi-directional laboratory health information exchange (LHIE) intervention on each of these outcomes.

Methods

We used a quasi-experimental, interrupted time-series design to examine whether the LHIE intervention improved ART use and VS, and reduced racial/ethnic disparities in these outcomes among HIV+ patients (N = 1181) in a comprehensive HIV/AIDS clinic in Southern California. Main outcome measures were ART pharmacy fill and HIV viral load laboratory data extracted from the medical records over 3 years. Race/ethnicity and an indicator for the intervention (after vs. before) were the main predictors. The analysis involved 3-stage, multivariable logistic regression with generalized estimating equations.

Results

Overall, the intervention predicted greater odds of ART use (odds ratio [OR] = 2.50; 95% confidence interval: 2.29 to 2.73; P < 0.001) and VS (OR = 1.12; 95% confidence interval: 1.04 to 1.21; P < 0.05) in the final models that included sociodemographic, behavioral, and clinical covariates. Before the intervention, there were significant black/white disparities in ART use OR = 0.75 (0.58-0.98; P = 0.04) and VS OR = 0.75 (0.61-0.92; P = 0.001). After the intervention, the black/white disparities decreased after adjusting for sociodemographics and the number of HIV care visits, and Latinos had greater odds than whites of ART use and VS, adjusting for covariates.

Conclusions

The intervention improved overall ART treatment and VS, and reduced black/white disparities. LHIE interventions may hold promise if implemented among similar patients.

Background

Dental caries is the most common chronic childhood infectious disease and is a serious public health problem affecting both developing and industrialized countries, yet it is preventable in most cases. This study evaluated the potential of screening for dental caries among children using a machine learning algorithm applied to parent perceptions of their child's oral health assessed by survey.

Methods

The sample consisted of 182 parents/caregivers and their children 2-7 years of age living in Los Angeles County. Random forest (a machine learning algorithm) was used to identify survey items that were predictors of active caries and caries experience. We applied a three-fold cross-validation method. A threshold was determined by maximizing the sum of sensitivity and specificity conditional on the sensitivity of at least 70%. The importance of survey items to classifying active caries and caries experience was measured using mean decreased Gini (MDG) and mean decreased accuracy (MDA) coefficients.

Results

Survey items that were strong predictors of active caries included parent's age (MDG = 0.84; MDA = 1.97), unmet needs (MDG = 0.71; MDA = 2.06) and the child being African American (MDG = 0.38; MDA = 1.92). Survey items that were strong predictors of caries experience included parent's age (MDG = 2.97; MDA = 4.74), child had an oral health problem in the past 12 months (MDG = 2.20; MDA = 4.04) and child had a tooth that hurt (MDG = 1.65; MDA = 3.84).

Conclusion

Our findings demonstrate the potential of screening for active caries and caries experience among children using surveys answered by their parents.