HIV testing among pregnant women with prenatal care in the United States: An analysis of the 2011-2017 National Survey of Family Growth

Factors Associated with the Uptake of HIV Testing in Canada: Evidence from a Nationally Representative Study

In this study, we explore the factors associated with the uptake of HIV testing at the national level in Canada. Using the 2015-16 Canadian Community Health Survey and applying logistic regression analysis, we examine the associations between HIV testing and factors identified by the Andersen's behavioral model of healthcare utilization. We find that a range of predisposing, enabling, and need factors are significantly associated with HIV testing. For example, compared to the oldest respondents (i.e. 55-64), their younger counterparts (i.e. 45-54, 35-44, and 25-34) are more likely to have been tested for HIV. Compared to those in Atlantic Canada, respondents in Quebec (OR = 1.96, p < .001), Ontario (OR = 1.44, p < .001), Prairies (OR = 1.37, p < .001), British Columbia (OR = 1.99, p < .001), and the Territories (OR = 2.22, p < .001) are all more likely to have been tested for HIV. Based on these findings, we provide several important suggestions for policymakers and future research.

CDC-Funded HIV Testing Services Outcomes and Social Determinants of Health in Ending the HIV Epidemic in the U.S. Jurisdictions

We performed an ecological analysis to examine associations between CDC-funded HIV testing services outcomes and social determinants of health (SDOH) among Ending the HIV Epidemic in the U.S. jurisdictions. Using National HIV Prevention Program Monitoring & Evaluation (2020) and American Community Survey (2016-2020) data, we ran robust Poisson models (adjusted for race/ethnicity). In healthcare settings, a 10% absolute increase in percentage without health insurance was associated with a 40% lower prevalence of newly diagnosed positivity (aPR = 0.60, 95% CI: 0.43-0.83); a $5,000 increase in median household income (aPR = 1.04, 95% CI: 1.03-1.06) and a 10% absolute increase in percentage unemployed (aPR = 1.80, 95% CI: 1.31-2.46) were associated with 4% and 80%, respectively, higher prevalence of percentage linked to HIV medical care within 30 days of diagnosis (i.e., linkage). In non-healthcare settings, a 10% absolute increase in percentage with less than high school diploma (aPR = 0.53, 95% CI: 0.29-0.96) was associated with a 47% lower prevalence of newly diagnosed positivity, whereas a 10% absolute increase in percentage without health insurance (aPR = 1.92, 95% CI: 1.29-2.88) was associated with a 92% higher prevalence of newly diagnosed positivity; a 10% absolute increase in percentage with less than high school diploma was associated with a 35% lower prevalence of linkage (aPR = 0.65, 95% CI: 0.43-0.97). Addressing SDOH in HIV prevention programs will play an important role in ending the HIV epidemic.

Prevention of the Vertical Transmission of HIV; A Recap of the Journey so Far

In 1989, one in four (25%) infants born to women living with HIV were infected; by the age of 2 years, there was 25% mortality among them due to HIV. These and other pieces of data prompted the development of interventions to offset vertical transmission, including the landmark Pediatric AIDS Clinical Trial Group Study (PACTG 076) in 1994. This study reported a 67.5% reduction in perinatal HIV transmission with prophylactic antenatal, intrapartum, and postnatal zidovudine. Numerous studies since then have provided compelling evidence to further optimize interventions, such that annual transmission rates of 0% are now reported by many health departments in the US and elimination has been validated in several countries around the world. Despite this success, the elimination of HIV’s vertical transmission on the global scale remains a work in progress, limited by socioeconomic factors such as the prohibitive cost of antiretrovirals. Here, we review some of the key trials underpinning the development of guidelines in the US as well as globally, and discuss the evidence through a historic lens.

HIV testing during pregnancy among women with a recent live birth-Seven US States, 2016-2019

BACKGROUND

Although the United States has made progress in reducing the transmission of HIV from mother-to-child, it has not yet met the goal of reducing such transmissions to 70%. Self-reported HIV testing varied by state of residence. Approximately, two in three women reported that their health care provider asked them about HIV testing during prenatal care, and 82.3% of those asked reported receipt of a test.

OBJECTIVES

The aim of this study was (1) to examine the prevalence of receipt of an HIV test during pregnancy and (2) to examine differences in HIV testing during pregnancy by race/ethnicity, state of residence, and other sociodemographic characteristics.

DESIGN

Population-based surveillance of women with a recent live birth from seven US states. Individuals were sampled from birth certificate records 2-6 months postpartum and surveyed about their behaviors and experiences before, during, and shortly after pregnancy.

METHODS

Data from the Pregnancy Risk Assessment Monitoring System, a large, population-based survey, were used to estimate the prevalence of HIV testing during pregnancy during 2016-2019. Weighted prevalence estimates and 95% confidence intervals were calculated overall and by demographic and other selected characteristics.

RESULTS

Approximately two-thirds of women (66.1%) self-reported having a test for HIV during pregnancy. Prevalence varied by maternal characteristics and was highest among women who were non-Hispanic Black (80.7%) and among women who were aged ⩽ 24 years, had a high school education or less, were unmarried, or had Medicaid or no insurance for prenatal care (each > 70%). Self-reported HIV testing varied by state of residence. Approximately two in three women reported that their health care provider asked them about HIV testing during prenatal care, and 82.3% of those asked reported receipt of a test.

CONCLUSION

About one in three Pregnancy Risk Assessment Monitoring System respondents did not report an HIV test during pregnancy. Health care providers can help educate pregnant patients about the importance of HIV testing and ensure universal testing to help identify individuals needing treatment and reduce the rates of mother-to-child HIV transmission.

A hybrid of long short-term memory neural network and autoregressive integrated moving average model in forecasting HIV incidence and morality of post-neonatal population in East Asia: global burden of diseases 2000-2019

Background

To forecast the human immunodeficiency virus (HIV) incidence and mortality of post-neonatal population in East Asia including North Korea, South Korea, Mongolia, Japan and China Mainland and Taiwan province.

Methods

The data on the incidence and mortality of HIV in post-neonatal population from East Asia were obtained from the Global Burden of Diseases (GBD). The morbidity and mortality of post-neonatal HIV population from GBD 2000 to GBD 2013 were applied as the training set and the morbidity and mortality from GBD 2014 to GBD 2019 were used as the testing set. The hybrid of ARIMA and LSTM model was used to construct the model for assessing the morbidity and mortality in the countries and territories of East Asia, and predicting the morbidity and mortality in the next 5 years.

Results

In North Korea, the incidence and mortality of HIV showed a rapid increase during 2000–2010 and a gradual decrease during 2010–2019. The incidence of HIV was predicted to be increased and the mortality was decreased. In South Korea, the incidence was increased during 2000–2010 and decreased during 2010–2019, while the mortality showed fluctuant trend. As predicted, the incidence of HIV in South Korea might be increased and the mortality might be decreased during 2020–2025. In Mongolia, the incidence and mortality were slowly decreased during 2000–2005, increased during 2005–2015, and rapidly decreased till 2019. The predicted incidence and mortality of HIV showed a decreased trend. As for Japan, the incidence of HIV was rapidly increased till 2010 and then decreased till 2015. The predicted incidence of HIV in Japan was gradually increased. The mortality of HIV in Japan was fluctuant during 2000–2019 and was slowly decreased as predicted. The incidence and mortality of HIV in Taiwan during 2000–2019 was increased on the whole. The predicted incidence of HIV during was stationary and the mortality was decreased. In terms of China Mainland, the incidence and mortality of HIV was fluctuant during 2000–2019. The predicted incidence of HIV in China Mainland was stationary while the mortality was rapidly decreased.

Conclusion

On the whole, the incidence of HIV combined with other diseases in post-neonatal population was increased before 2010 and then decreased during 2010–2019 while the mortality of those patients was decreased in East Asia.

Socioeconomic inequalities in the HIV testing during antenatal care: evidence from Indian demographic health survey, 2015–16

Background

In India, there is currently a lack of data on socioeconomic inequalities in HIV testing on a national scale; thus, understanding socioeconomic inequalities in response to expanded HIV testing is critical for assessing and ensuring equity of HIV programmes in accordance with the Sustainable Development Goals. The specific objective of the study was to determine the factor associated with HIV testing during antenatal care and assess the socio-economic inequalities in HIV testing during antenatal care (ANC) among Indian women aged 15–49 years with a live birth in the two years preceding the survey.

Methods

The results drawn from the state module of women data file of fourth round of National Family Health Survey (NFHS-4, 2015–16), considering HIV testing during antenatal care among women aged 15–49 who gave live birth in the two years preceding the survey and received the result of HIV test as a matter of fact. Method, such as, descriptive statistics, binary ogistic regression, concentration index were used in the analysis.

Results

The findings of the study show that HIV testing during antenatal care was low (30%) among women in India. Our findings reveal that there were significant inequalities exist in HIV testing during ANC between richer and poorer quintile of women. Education, place of residence, comprehensive knowledge of HIV/AIDS, and regular exposure of mass media were substantially contributing to socioeconomic inequality in HIV testing during ANC among women in India.

Conclusions

The socioeconomic inequities in HIV testing during pregnancy should be monitored and addressed in order to ensure an equitable distribution of the benefits specially among children and accomplishments of HIV programs in India.