Socio-economic differences in the uptake of HIV testing and associated factors in South Africa

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.

Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria

INTRODUCTION

Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV testing services and assess the association between these barrier patterns and sexual behaviour, socio-demographics, and HIV status.

METHODS

Data were from Nigeria's AIDS Indicator and Impact Survey (NAIIS, 2018) and included 18,612 sexually active AYA aged 15-24 years who had never been tested for HIV and reported barriers to accessing HIV testing services. A Latent class analysis (LCA) model was built from 12 self-reported barrier types to identify distinct subgroups of AYA based on barrier patterns. Latent class regressions (LCR) were conducted to compare the socio-demographics, sexual behaviour, and HIV status across identified AYA subgroups. Sex behaviour characteristics include intergenerational sex, transactional sex, multiple sex partners, condom use, and knowledge of partner's HIV status.

RESULTS

Our LCA model identified four distinct AYA subgroups termed 'low-risk perception' (n = 7,361; 39.5%), 'consent and proximity' (n = 5,163; 27.74%), 'testing site' (n = 4,996; 26.84%), and 'cost and logistics' (n = 1,092; 5.87%). Compared to adolescents and young adults (AYA) in the low-risk perception class, those in the consent and proximity class were more likely to report engaging in intergenerational sex (aOR 1.17, 95% CI 1.02-1.35), transactional sex (aOR 1.50, 95% CI 1.23-1.84), and have multiple sex partners (aOR 1.75, 95% CI 1.39-2.20), while being less likely to report condom use (aOR 0.79, 95% CI 0.63-0.99). AYA in the testing site class were more likely to report intergenerational sex (aOR 1.21, 95% CI 1.04-1.39) and transactional sex (aOR 1.53, 95% CI 1.26-1.85). AYA in the cost and logistics class were more likely to engage in transactional sex (aOR 2.12, 95% CI 1.58-2.84) and less likely to report condom use (aOR 0.58, 95% CI 0.34-0.98). There was no significant relationship between barrier subgroup membership and HIV status. However, being female, aged 15-24 years, married or cohabiting, residing in the Southsouth zone, and of Christian religion increased the likelihood of being HIV infected.

CONCLUSIONS

Patterns of barriers to HIV testing are linked with differences in sexual behaviour and sociodemographic profiles among AYA, with the latter driving differences in HIV status. Findings can improve combination healthcare packages aimed at simultaneously addressing multiple barriers and determinants of vulnerability to HIV among AYA.

Trends and factors associated with recent HIV testing among women in Haiti: a cross-sectional study using data from nationally representative surveys

INTRODUCTION

In the Latin America and Caribbean region, Haiti is one of the countries with the highest rates of HIV. Therefore, this study examined the factors associated with HIV testing among women in Haiti and trends in HIV testing in 2006, 2012, and 2016/17.

METHODS

Data from the last three Haitian Demographic and Health Surveys (2006, 2012, and 2016/17) were used. The analysis was restricted to women aged of 15-49 years who made their sexual debut. STATA/SE 16.0 was employed to analyze the data by computing descriptive statistics, Chi‑square, and multilevel regression model to describe the trends and identify factors associated with HIV testing in Haiti. P-value less than 0.05 was taken as a significant association.

RESULTS

HIV testing prevalence increased more than twofold from 2006 (8.8%) to 2017 (21.3%); however, it decreased by 11.6% between 2012 and 2016/17. Additionally, the results indicated that age, place of residence, region, education level, wealth index, mass media exposure, marital status, health insurance, age at first sex and number of sexual partners were significantly associated with HIV testing.

CONCLUSIONS

To significantly increase HIV testing prevalence among women, the Haitian government must invest much more in their health education while targeting vulnerable groups (youth, women in union, and women with low economic status).

Socioeconomic inequality and contributors in accepting attitudes toward people living with HIV among adults in Ethiopia from 2005 to 2016: a population-based cross-sectional study

INTRODUCTION

The public's accepting attitude toward people living with HIV is crucial in reducing HIV-related stigma and discrimination, increasing people's access to HIV service. This study examines the inequalities in accepting attitudes toward people living with HIV in Ethiopia from 2005 to 2016.

METHODS

This cross-sectional study was based on the 2005, 2011 and 2016 Ethiopian Demographic Health Surveys. A total of 17 075, 28 478 and 25 542 adults were included in the 2005, 2011 and 2016 surveys, respectively. Socioeconomic inequality was investigated using the concentration curve and Erreygers' concentration index (ECI), which is scaled from -1 (pro-poor) to +1 (pro-rich). The ECI was decomposed to identify the contributors to socioeconomic inequality using generalised linear regression with the logit link function.

RESULTS

Accepting attitude toward people living with HIV was 17.9% (95% CI: 16.6%, 19.3%) in 2005, which increased to 33.5% (95% CI: 31.8%, 35.3%) in 2011 and 39.6% (95% CI: 37.6%, 41.9%) in 2016. ECI was 0.342 (p<0.001), 0.436 (p<0.001) and 0.388 (p<0.001), respectively, for 2005, 2011 and 2016. The trend line illustrates socioeconomic inequality seems diverging over time, with an increasing ECI of 0.005 every year (r=0.53; p=0.642; slope=0.005).

CONCLUSIONS

The current study found that there was pro-rich inequality from 2005 to 2016. People with higher socioeconomic status had a better attitude toward people living with HIV. Comprehensive knowledge about HIV/AIDS, education status, residence, and access to electronic and paper-based media, as well as HIV testing, contribute to a better accepting attitude toward people living with HIV. It is of utmost importance for the country to enhance accepting attitude toward people living with HIV to reduce stigma and discrimination. This requires whole-system response according to the primary healthcare approach toward ending the epidemic of HIV/AIDS in the country.

HIV/STD prevalence and test uptake among african in Guangzhou, China: an analysis of data from hospital-based surveillance

Human immunodeficiency virus (HIV) and sexually transmitted diseases (STDs) cause substantial morbidity and mortality both in African and China. However, there is limited data available on the prevalence of HIV/STDs and the uptake of testing experience ever during in China among African migrants. A venue-based survey was conducted at a tertiary hospital in Guangzhou to investigate the prevalence of HIV/STDs through laboratory testing and identify the associated factors. A total of 200 eligible participants completed the survey and bring into the analysis from April to October 2019, and the temporary visitors were excluded. The prevalence rates of HIV, syphilis, NG, CT, and HBsAg among the participants were 1.0%, 2.5%, 1.0%, 1.5%, and 5.5%, respectively. The overall reported rate of HIV/STD testing was 37.0%, with rates of 23.0% for HIV, 16.5% for syphilis, 12.5% for NG, 6.5% for genital herpes, 5.0% for condyloma acuminata, and 2.5% for CT. HIV/STD testing was associated with living environment in Guangzhou, having medical insurance in China, and utilizing health services in China in the past year. HIV/STDs are prevalent among Africans in Guangzhou, and the epidemic is likely to spread due to a significant proportion of unprotected sexual behaviors and low rates of HIV/STD testing. Urgent interventions, including targeted health education, promotion of health service utilization, and active surveillance of HIV/STDs, are needed to reduce the risk of HIV/STD transmission.

Modelling Methods of Economic Evaluations of HIV Testing Strategies in Sub-Saharan Africa: A Systematic Review

BACKGROUND AND OBJECTIVE

Economic evaluations, a decision-support tool for policy makers, will be crucial in planning and tailoring HIV prevention and treatment strategies especially in the wake of stalled and decreasing funding for the global HIV response. As HIV testing and treatment coverage increase, case identification becomes increasingly difficult and costly. Determining which subset of the population these strategies should be targeted to becomes of vital importance as well. Generating quality economic evidence begins with the validity of the modelling approach and the model structure employed. This study synthesises and critiques the reporting around modelling methodology of economic models in the evaluation of HIV testing strategies in sub-Saharan Africa.

METHODS

The following databases were searched from January 2000 to September 2020: MEDLINE, Embase, Scopus, EconLit and Global Health. Any model-based economic evaluation of a unique HIV testing strategy conducted in sub-Saharan Africa presenting a cost-effectiveness measure published from 2013 onwards was eligible. Data were extracted around three components: general study characteristics; economic evaluation design; and quality of model reporting using a novel tool developed for the purposes of this study.

RESULTS

A total of 21 studies were included; 10 cost-effectiveness analyses, 11 cost-utility analyses. All but one study was conducted in Eastern and Southern Africa. Modelling approaches for HIV testing strategies can be broadly characterised as static aggregate models (3/21), static individual models (6/21), dynamic aggregate models (5/21) and dynamic individual models (7/21). Adequate reporting around data handling was the highest of the three categories assessed (74%), and model validation, the lowest (45%). Limitations to model structure, justification of chosen time horizon and cycle length, and description of external model validation process were all adequately reported in less than 40% of studies. The predominant limitation of this review relates to the potential implications of the narrow inclusion criteria.

CONCLUSIONS

This review is the first to synthesise economic evaluations of HIV testing strategies in sub-Saharan Africa. The majority of models exhibited dynamic, stochastic and individual properties. Model reporting against the 13 criteria in our novel tool was mixed. Future model-based economic evaluations of HIV testing strategies would benefit from transparency around the choice of modelling approach, model structure, data handling procedures and model validation techniques.

Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression

Increased HIV/AIDS testing is of paramount importance in controlling the HIV/AIDS pandemic and subsequently saving lives. Despite progress in HIV/AIDS testing programmes, most people are still reluctant to test and thus are still unaware of their status. Understanding the factors associated with uptake levels of HIV/AIDS self-testing requires knowledge of people's perceptions and attitudes, thus informing evidence-based decision making. Using the South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey of 2017 (SABSSM V), this study assessed the efficacy of Generalised Linear Poisson Regression (GLPR) and Geographically Weighted Poisson Regression (GWPR) in modelling the spatial dependence and non-stationary relationships of HIV/AIDS self-testing uptake and covariates. The models were calibrated at the district level across South Africa. Results showed a slightly better performance of GWPR (pseudo R² = 0.91 and AICc = 390) compared to GLPR (pseudo R² = 0.88 and AICc = 2552). Estimates of local intercepts derived from GWPR exhibited differences in HIV/AIDS self-testing uptake. Overall, the output of this study displays interesting findings on the levels of spatial heterogeneity of factors associated with HIV/AIDS self-testing uptake across South Africa, which calls for district-specific policies to increase awareness of the need for HIV/AIDS self-testing.

Sleep disorders and work-related stress with oral hygiene among Indian shift workers

Construction workers are mostly migrants from isolated villages and are not vigilant about health care measures besides poor language skills. Majority of the population works in shifts across the globe. As a result of poor sleep architecture, excessive sleepiness or insomnia, the construction labourers working in shifts have approximately twice the risk of OSA when compared with those working in the daytime. Likewise, the performance and the productivity of employees in construction sites are impeded by added stress. Therefore, it is of interest to investigate the sleep disorders, work-related stress and its impact on oral hygiene among the construction workers in Chennai. A cross sectional study was conducted among 518 workers in various construction sites at Chennai, South India. The study incorporated BerlinQuestionnaire to evaluate disordered breathing during sleep, the Work Ability Index that contains questions concerning work, working ability and health and the Oral Hygiene Index Simplified (Greene and Vermillion, 1964) that was used for recording the oral hygiene status. Pearson correlation between education and OHI-S was statistically significant (r=-0.108). Multiple linear regression analysis revealed that mean WAI score had a positive significant association with work experience (B=0.059, SE=0.030, p=0.05), habits (B=0.032, SE=0.017, p=0.05) and marital status (B=0.135, SE=0.54, p=0.01). In contrast, education (B=-0.0.052, SE=0.023, p=0.02) and work schedule (B=0.022, SE=0.037, p=0.54) were inversely associated with the mean score. Based on the current findings, it is imperative to restore work ability for those with poor work ability thereby enhancing productivity in the migrant workers. As shift work may be extremely detrimental to poor sleep quality, the employers should arrange shift schedules in accordance with sleep physiology. Additionally, dental awareness and interventions are required to improve oral hygiene among migrant workers.

Harmful Alcohol Use and Associated Socio-Structural Factors among Female Sex Workers Initiating HIV Pre-Exposure Prophylaxis in Dar es Salaam, Tanzania

Harmful alcohol use is an important risk factor for premature mortality and morbidity and associated with increased HIV risk and lower uptake of and adherence to HIV interventions. This study aimed to assess the extent of harmful alcohol use and associated socio-structural vulnerability factors among female sex workers in Dar es Salaam, Tanzania, a key population in the HIV epidemic. Data from a study of female sex workers initiating pre-exposure prophylaxis (PrEP) recruited through respondent driven sampling were used. We assessed harmful alcohol use with the Alcohol Use Disorders Identification Test (AUDIT) defined as having an AUDIT score ≥ 16. Associations between harmful alcohol use and socio-structural factors were assessed using logistic regression with marginal standardization. Of the 470 women recruited, more than one third (37.3%) had a drinking pattern suggestive of harmful alcohol use. Such use was independently associated with sex work-related mobility (aPR: 1.36, 95% CI: 1.11-1.61), arrest/incarceration (aPR: 1.55, 95% CI: 1.27-1.84) and gender-based violence (aPR: 1.31, 95% CI: 1.06-1.56). The high prevalence of harmful alcohol use and the interconnectedness with socio-structural factors indicate a need for a holistic programmatic approach to health for female sex workers. Programming should not solely direct attention to individual behavior but also include strategies aiming to address socio-structural vulnerabilities.

Chasing the Youth Dividend in Nigeria, Malawi and South Africa: What Is the Role of Poverty in Determining the Health and Health Seeking Behaviour of Young Women?

Africa's new source of hope lies in harnessing Demographic Dividend, which may create a window of economic opportunity as fertility levels decrease if the correct policies and programmes are put in place. It has been shown that the health status of young people should be optimal for the realisation of the demographic dividend. This study examined the association between poverty and the health status and health seeking behaviour of young women (15-25), using the Demographic Health surveys of Nigeria 2013, Malawi 2015-2016, and South Africa 2015-2016. Interest variables were household and community-levels of poverty, while the outcomes were pregnancy and HIV testing and health services seeking. Results showed that in Malawi only household poverty was associated with a higher likelihood of pregnancy, while in South Africa household- and community-levels of poverty were associated with a higher likelihood of pregnancy. In Nigeria, household- and community-levels of poverty were not significantly linked to pregnancy but were associated with a lower likelihood of HIV testing and health seeking behaviour. The study shows empirical evidence of the construction of negative health outcomes in poor households and communities in Nigeria, Malawi, and South Africa. Therefore, if the demographic dividend is to be a reality in the near future, it is imperative to ensure that poverty-alleviation urgently occurs.